201
|
Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen JH, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Edmonds T, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Gibson A, Gopal K, Grosnick D, Hamad AI, Hamed A, Harris JW, He S, He W, He X, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kinghorn TA, Kisel I, Kiselev A, Kisiel A, Klein SR, Kocan M, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Lukow NS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mooney I, Moravcova Z, Morozov DA, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shen F, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun Y, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu YF, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Zbroszczyk H, Zha W, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Measurement of e^{+}e^{-} Momentum and Angular Distributions from Linearly Polarized Photon Collisions. Phys Rev Lett 2021; 127:052302. [PMID: 34397228 DOI: 10.1103/physrevlett.127.052302] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 06/17/2021] [Accepted: 06/29/2021] [Indexed: 06/13/2023]
Abstract
The Breit-Wheeler process which produces matter and antimatter from photon collisions is experimentally investigated through the observation of 6085 exclusive electron-positron pairs in ultraperipheral Au+Au collisions at sqrt[s_{NN}]=200 GeV. The measurements reveal a large fourth-order angular modulation of cos4Δϕ=(16.8±2.5)% and smooth invariant mass distribution absent of vector mesons (ϕ, ω, and ρ) at the experimental limit of ≤0.2% of the observed yields. The differential cross section as a function of e^{+}e^{-} pair transverse momentum P_{⊥} peaks at low value with sqrt[⟨P_{⊥}^{2}⟩]=38.1±0.9 MeV and displays a significant centrality dependence. These features are consistent with QED calculations for the collision of linearly polarized photons quantized from the extremely strong electromagnetic fields generated by the highly charged Au nuclei at ultrarelativistic speed. The experimental results have implications for vacuum birefringence and for mapping the magnetic field which is important for emergent QCD phenomena.
Collapse
Affiliation(s)
- J Adam
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M U Ashraf
- Central China Normal University, Wuhan, Hubei 430079
| | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - V Bairathi
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Barish
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | - J D Brandenburg
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - F-H Chang
- National Cheng Kung University, Tainan 70101
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A Chatterjee
- Central China Normal University, Wuhan, Hubei 430079
| | - D Chen
- University of California, Riverside, California 92521
| | - J H Chen
- Fudan University, Shanghai 200433
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - M Chevalier
- University of California, Riverside, California 92521
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - M Csanád
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Edmonds
- Purdue University, West Lafayette, Indiana 47907
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- State University of New York, Stony Brook, New York 11794
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Francisco
- Yale University, New Haven, Connecticut 06520
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - T Galatyuk
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- American University of Cairo, New Cairo, New Cairo 11835, Egypt
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - S He
- Central China Normal University, Wuhan, Hubei 430079
| | - W He
- Fudan University, Shanghai 200433
| | - X He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - S Heppelmann
- University of California, Davis, California 95616
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - E Hoffman
- University of Houston, Houston, Texas 77204
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Y Hong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - Y Hu
- Fudan University, Shanghai 200433
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - X Huang
- Tsinghua University, Beijing 100084
| | | | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - A Jentsch
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Ji
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - M L Kabir
- University of California, Riverside, California 92521
| | - S Kagamaster
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - M Kelsey
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y V Khyzhniak
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - B Kimelman
- University of California, Davis, California 95616
| | - D Kincses
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - T A Kinghorn
- University of California, Davis, California 95616
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - S R Klein
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Kocan
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - L K Kosarzewski
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | | | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - S Lan
- Central China Normal University, Wuhan, Hubei 430079
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Rice University, Houston, Texas 77251
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - R Licenik
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - T Lin
- Texas A&M University, College Station, Texas 77843
| | - Y Lin
- Central China Normal University, Wuhan, Hubei 430079
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - P Liu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Fudan University, Shanghai 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Magdy
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - R Majka
- Yale University, New Haven, Connecticut 06520
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - N G Minaev
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | | | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201
| | - Z Moravcova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - D A Morozov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - M Nagy
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Nayak
- Central China Normal University, Wuhan, Hubei 430079
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- Central China Normal University, Wuhan, Hubei 430079
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Yale University, New Haven, Connecticut 06520
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - D Pawlowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - L Pinsky
- University of Houston, Houston, Texas 77204
| | - R L Pintér
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | | | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J L Romero
- University of California, Davis, California 95616
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - F Seck
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - F Shen
- Shandong University, Qingdao, Shandong 266237
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - M Stefaniak
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D J Stewart
- Yale University, New Haven, Connecticut 06520
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de São Paulo, São Paulo 05314-970, Brazil
| | - M Sumbera
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - S K Tripathy
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - O D Tsai
- University of California, Los Angeles, California 90095
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Vanek
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - A N Vasiliev
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - P Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- University of California, Riverside, California 92521
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Yang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | | | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Z Zhu
- Shandong University, Qingdao, Shandong 266237
| | - M Zurek
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| |
Collapse
|
202
|
Abstract
BACKGROUND Despite evidence-based guidelines advocating for the provision of oral health care throughout pregnancy, dentists remain hesitant to provide dental treatment for pregnant women. However, little is known about attitudes toward treating pregnant women among dental school faculty, who may transmit their attitudes and treatment preferences to their students. METHODS We collected cross-sectional survey data at the New York University College of Dentistry, which produces 10% of all US dentists and is the largest US dental school, to understand faculty attitudes and knowledge regarding providing dental treatment to pregnant women. This study was part of an educational effort to improve dental care access by pregnant women and to examine what factors influence willingness to treat pregnant patients among dental faculty members. RESULTS We found that concerns about professional liability outweighed inadequate knowledge regarding treatment of pregnant patients in determining dental faculty's willingness to treat pregnant women. CONCLUSIONS Educational interventions delivered to dental faculty regarding current dental treatment guidelines for pregnant women may not be sufficient to increase faculty's provision of dental care to women during pregnancy. Future work to design effective interventions to increase dental treatment of pregnant women among dental faculty should address liability concerns. KNOWLEDGE TRANSFER STATEMENT Interventions addressing dental clinician and faculty knowledge about dental treatment for pregnant women may be insufficient to increase dental treatment among pregnant women. Instead, policy makers should consider designing, implementing, and evaluating interventions addressing malpractice and liability concerns.
Collapse
Affiliation(s)
- S S Huang
- Department of Epidemiology and Health Promotion, New York University College of Dentistry, New York City, NY, USA
| | - C Yang
- Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - V Cohen
- Department of Epidemiology and Health Promotion, New York University College of Dentistry, New York City, NY, USA
| | - S L Russell
- New York University College of Dentistry, New York City, NY, USA
| |
Collapse
|
203
|
Zheng JS, Wei X, Jiao ZX, Liu XH, Chen MJ, Jiang WB, Yang C. [Development and clinical application of custom-made temporomandibular joint-skull base combined prosthesis]. Zhonghua Kou Qiang Yi Xue Za Zhi 2021; 56:627-632. [PMID: 34275216 DOI: 10.3760/cma.j.cn112144-20210412-00169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To introduce the design, manufacture and clinical application of the custom-made temporomandibular joint (TMJ)-skull base combined prosthesis and evaluate its safety, effectiveness and accuracy. Methods: The patients diagnosed with the TMJ-skull base lesion in Department of Oral Surgery, Shanghai Ninth People's Hospital from October 2016 to November 2020 were recruited in this study. The maxillofacial CT data for all the patients were obtained and transformed into the Mimics 18.0 software preoperatively. The custom-made TMJ-skull base combined prosthesis, included four components, was designed based on the anatomy, stress distribution and movement of the TMJ and skull base, and fabricated by three-dimensional printing and 5-axis milling technologies. The TMJ-skull base lesion was excised completely with the help of digital templates from modified preauricular and/or post and submandibular incisions. The combined prosthesis were implanted and fixed after the lesion resection. The examinations including general situation, cranio-maxillofacial structure and function were taken during and after surgery to assess its using effect. Results: Ten patients [6 females and 4 males, (43.2±13.6) years old] were included and all prostheses were positioned accurately and fixed excellently. After (29.4±17.3) months follow-up, the occlusion relationship was stable and no adverse symptoms such as dizziness, headache, meningeal irritation and permanent facial nerve injury occurred. The pain, diet, mandibular movement function, lateral movement to diseased side and mouth opening had significant improvements. The forward movement and lateral movement to normal side were not improved significantly. There were no prosthesis displacement, loosening and fracture in X-ray and CT postoperatively. With the pre and postoperative craniomaxillofacial model merging, the maximal implanted error was (0.52±0.17) mm for fossa and condyle and (1.62±0.26) mm for skull base and mandibular handle in surface deviation analysis. Conclusions: The custom-made TMJ-skull base combined prosthesis with customized design and 3D printing fabrication is safe, effective and precise in clinical application.
Collapse
Affiliation(s)
- J S Zheng
- Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - X Wei
- Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - Z X Jiao
- Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - X H Liu
- Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - M J Chen
- Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - W B Jiang
- Center of 3D-printing Translational Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - C Yang
- Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| |
Collapse
|
204
|
Cai H, Huang H, Yang C, Ren J, Wang J, Gao B, Pan W, Sun F, Zhou X, Zeng T, Hu J, Chen Y, Zhang S, Chen G. Eosinophil-to-Neutrophil Ratio Predicts Poor Prognosis of Acute Ischemic Stroke Patients Treated With Intravenous Thrombolysis. Front Neurol 2021; 12:665827. [PMID: 34322078 PMCID: PMC8310951 DOI: 10.3389/fneur.2021.665827] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 06/11/2021] [Indexed: 11/17/2022] Open
Abstract
Background and Purpose: The eosinophil-to-neutrophil ratio (ENR) was recently reported as a novel inflammatory marker in acute ischemic stroke (AIS). However, few studies reported the predictive value of ENR in AIS patients, especially for those with intravenous thrombolysis. Methods: Two hundred sixty-six AIS patients receiving intravenous thrombolysis were retrospectively recruited in this study and followed up for 3 months and 1 year. The Modified Rankin Scale (mRS) and the time of death were recorded. Poor outcome was defined as mRS 3–6. After excluding patients who were lost to follow-up, the remaining 250 patients were included in the 3-month prognosis analysis and the remaining 223 patients were included in the 1-year prognosis analysis. Results: ENR levels in the patients were lower than those in the healthy controls. The optimal cutoff values for the ability of ENR × 102 to predict 3-month poor outcome were 0.74 with 67.8% sensitivity and 77.3% specificity. Patients with ENR × 102 ≥ 0.74 have a lower baseline National Institutes of Health Stroke Scale (NIHSS) score (median: 7 vs. 11, p < 0.001). After multivariate adjustment, patients with ENR × 102 ≥ 0.74 were more likely to come to a better 3-month outcome (OR = 0.163; 95% CI, 0.076–0.348, p < 0.001). At the 1-year follow-up, the patients with ENR × 102 ≥ 0.74 showed a lower risk of mortality (HR = 0.314; 95% CI, 0.135–0.731; p = 0.007). Conclusions: A lower ENR is independently associated with a 3-month poor outcome and a 3-month and 1-year mortality in AIS patients treated with intravenous thrombolysis.
Collapse
Affiliation(s)
- Haoye Cai
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chenguang Yang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Junli Ren
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jianing Wang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Beibei Gao
- Department of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wenjing Pan
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Fangyue Sun
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xinbo Zhou
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Tian Zeng
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jingyu Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yilin Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shunkai Zhang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| |
Collapse
|
205
|
Yang C, Qiao YL, Liu H, Pan ZW. [Molluscicidal activity of the Bacillus velezensisis Y6 strain against Oncomelania hupensis and its preliminary mechanisms of molluscicidal actions]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 33:248-253. [PMID: 34286525 DOI: 10.16250/j.32.1374.2020343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To assess the molluscicidal activity of the of Bacillus Y6 strain against Oncomelania hupensis in laboratory, and to preliminarily investigate its mechanisms of molluscicidal actions. METHODS Biological identification of the Y6 strain was performed based on analysis of its morphological and physiochemical features and homology analysis of the 16S rDNA gene sequence. Bacillus Y6 suspensions were formulated at concentrations of 0.005, 0.010 g/mL and 0.015 g/mL, and the molluscicidal activity of Bacillus Y6 suspensions against O. hupensis was tested in laboratory using the immersion method. In addition, the Bacillus Y6 content and glycogen content were detected in O. hupensis following exposure to Bacillus Y6 suspensions to preliminarily explore the molluscicidal mechanism of the Bacillus Y6 strain against O. hupensis. RESULTS The colony of the Bacillus Y6 strain appeared non-transparent milky white, and mycoderma was produced on the surface of the nutrient agar liquid medium. The Y6 stain was Gram positive and rod-shaped, and the endospore was located at the center of the Bacillus Y6 strain and appeared an achromatic, transparent and refractive body, which was encapsulated by the Y6 strain. The Y6 strain was positive for the lecithinase test, and the 16S rDNA gene sequence showed a 100% homology with those of multiple B. velezensisis strains, B. amyloliquefaciens and B. subtilis. The Y6 strain was therefore identified as B. velezensisis. Following immersion in the Bacillus Y6 suspensions at concentrations of 0.005, 0.010 g/mL and 0.015 g/mL for 24, 48 h and 72 h, the mortality rates of Oncomelania snails were 28.3%, 31.7% and 81.6%, 43.3%, 58.3% and 93.3%, and 63.3%, 78.3% and 98.3%, respectively. The molluscicidal activity of the Bacillus Y6 suspensions increased with the suspension concentration and duration of immersion. Microscopy and colony counting revealed the highest Y6 content in dead snails and the lowest in living snails following immersion in Bacillus Y6 suspensions, and the mean glycogen contents were (0.68 ± 0.06), (1.09 ± 0.16) μg/mg and (2.56 ± 0.32) μg/mg in the soft tissues of dead, dying and living snails following immersion in Bacillus Y6 suspensions (F = 59.519, P < 0.05), and the mean glycogen content was significantly higher in living snails than in dead (t = 14.073, P < 0.05) and dying snails (t = 10.027, P < 0.05), while the mean glycogen content was significantly higher in dying snails than in dead snails (t = 5.983, P < 0.05). CONCLUSIONS The B. velezensisis Y6 strain shows a high molluscicidal activity against O. hupensis snails, and its invasion may cause glycogen metabolism disorders, leading to snail death.
Collapse
Affiliation(s)
- C Yang
- Department of Microbiology and Immunology, Wannan Medical College, Wuhu 241002, China
| | - Y L Qiao
- School of Pharmacy, Wannan Medical College, China
| | - H Liu
- Department of Microbiology and Immunology, Wannan Medical College, Wuhu 241002, China
| | - Z W Pan
- Department of Microbiology and Immunology, Wannan Medical College, Wuhu 241002, China
| |
Collapse
|
206
|
Yang D, Huang H, Weng Y, Ren J, Yang C, Wang J, Gao B, Zeng T, Hu J, Pan W, Sun F, Zhou X, Chen G. Dynamic Decrease in Eosinophil After Intravenous Thrombolysis Predicts Poor Prognosis of Acute Ischemic Stroke: A Longitudinal Study. Front Immunol 2021; 12:709289. [PMID: 34305951 PMCID: PMC8293745 DOI: 10.3389/fimmu.2021.709289] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/21/2021] [Indexed: 01/21/2023] Open
Abstract
Background and Purpose Blood eosinophil counts are thought to be associated with atherosclerosis in acute ischemic stroke (AIS) and AIS severity. We aimed to investigate 1): the temporal profile of eosinophil in AIS patients treated with recombinant tissue plasminogen activator (r-tPA); 2): The association between dynamic eosinophil and 3-month outcomes in different AIS etiologies; 3): incremental predictive ability of dynamic eosinophil adding to conventional model; and 4): the longitudinal change of neutrophil-to-lymphocyte ratio (NLR) and compared its prognostic value with eosinophils. Methods A total of 623 AIS patients with intravenous thrombolysis in two hospitals were included. Blood samples were obtained on admission, within 24 h after an intravenous thrombolysis and on the seventh day. A multivariate logistic regression model with restricted cubic spline was performed to explore the association between dynamic eosinophil and a 3-month poor outcome. C-statistic, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were adopted to explore the incremental predictive ability. Results Percent change in eosinophil counts after intravenous thrombolysis was median -25.00% (IQR -68.25%-+14.29%). Decrease in eosinophil >75% after intravenous thrombolysis was associated with 2.585 times risk for poor outcome and 13.836 times risk for death. However, the association were weak for patients outside of cardioembolic stroke. Adding eosinophil changes to a conventional model improved the discriminatory ability of poor outcome (NRI = 53.3%; IDI = 2.2%) and death (NRI = 101.0%; IDI = 6.9%). Conclusions Dynamic decrease in eosinophil after intravenous thrombolysis predicts a 3-month poor outcome and death in AIS patients with r-tPA treatment and improved the predictive ability of conventional model. However, this result needs to be interpreted carefully in non-cardioembolic AIS patients.
Collapse
Affiliation(s)
- Dehao Yang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yiyun Weng
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Junli Ren
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chenguang Yang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jianing Wang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Beibei Gao
- Department of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Tian Zeng
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jingyu Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Wenjing Pan
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Fangyue Sun
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xinbo Zhou
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| |
Collapse
|
207
|
Yan K, Xu F, Yang C, Wei W, Chen Y, Li X, Lu Z, Wang D. Interpenetrating polysaccharide-based hydrogel: A dynamically responsive versatile medium for precisely controlled synthesis of nanometals. Mater Sci Eng C Mater Biol Appl 2021; 127:112211. [PMID: 34225863 DOI: 10.1016/j.msec.2021.112211] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/07/2021] [Accepted: 05/23/2021] [Indexed: 02/08/2023]
Abstract
Herein, we reported an interpenetrating polysaccharide-based hydrogel in which carboxymethyl chitosan (CMC) chains were physically dispersed throughout the thermoplastic elastomer gel network has been developed as a versatile platform for precisely controlled synthesis of nanometals. Results indicated the interpenetrated CMC chains could serve as multifunctional fillers for metal ions adsorption and stabilization while the thermally reconfigurable agarose (Agar) gel medium provides three-dimensional semi-solid framework for entrapping and recollecting of the fabricated nanometals. Specifically, the CMC chains were found to strongly coordinate with silver ions as a dynamically responsive metal-biopolymer complex within the bulk gel network as confirmed by the enhanced mechanical properties and regulated shape memory performances. Moreover, by varying CMC concentrations and coupling with a layer-stacking approach, multiple biochemical gradients could be facilely generated for in-situ synthesis of silver nanoparticles, achieving a narrow size of ~7 nm, confined sphere-shape and high concentrations. The monodispersed nanometals are confirmed to be highly active (e.g., considerable catalytic performance), and which could be easily recycled from the bulk gel system via a heating treatment. Thus, this work would provide a generic methodology for the multifunctional metallogel assembly and great possibility for controllable and largescale synthesis of noble nanometals toward biomedical applications.
Collapse
Affiliation(s)
- Kun Yan
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China
| | - Feiyang Xu
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China
| | - Chenguang Yang
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China
| | - Wei Wei
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China
| | - Yuanli Chen
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China
| | - Xiufang Li
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China
| | - Zhentan Lu
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China
| | - Dong Wang
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials &Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan 430200, China.
| |
Collapse
|
208
|
Gao B, Pan W, Hu X, Huang H, Ren J, Yang C, Zhou X, Zeng T, Hu J, Li S, Gao Y, Zhang S, Chen G. Neutrophil-Related Ratios Predict the 90-Day Outcome in Acute Ischemic Stroke Patients After Intravenous Thrombolysis. Front Physiol 2021; 12:670323. [PMID: 34276399 PMCID: PMC8283126 DOI: 10.3389/fphys.2021.670323] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 05/26/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Purpose Mounting researches have illuminated that the neutrophil-related ratios were related to the prognosis of acute ischemic stroke (AIS). However, few have compared their predictive value and accuracy. To make such comparison and identify the best indicator on the 90-day outcome, we investigated biomarkers including neutrophil ratio (Nr), neutrophil count (Nc), lymphocyte (L), neutrophil-to-lymphocyte ratio (NLR), platelet (P or PLT), platelet-to-neutrophil ratio (PNR), NLR-to-platelet ratio (NLR/PLT), eosinophil (E), neutrophil-to-eosinophil ratio (NER), monocyte (M), and monocyte-to-neutrophil ratio (MNR). Methods This retrospective study recruited 283 AIS and 872 healthy controls (HCs) receiving intravenous thrombolysis (IVT). Blood samples were collected after 24 h of admission before IVT. Propensity Score Matching (PSM) was used to explore whether these ratios differentiated AIS and HCs. We applied univariate and multivariate analyses to evaluate the prediction effect of these ratios separately or added in the model and figured out a clinical prediction model. To estimate the discrimination and calibration of the new models, the receiver operating characteristics (ROC) curve analysis, DeLong method, and likelihood ratio test (LR test) were utilized. Results PSM showed that Nr, Nc, NLR, P, PNR, NLR/PLT, NER, and MNR facilitates the differentiation of the HCs and AIS. Among the eight biomarkers, PNR and MNR could differentiate the 90-day outcome, and it was found out that PNR performed better. Univariate regression analysis demonstrated that PNR was the only independent predictor which needs no adjustment. Besides, the multivariate regression analysis, Delong method, and LR test indicated that among the neutrophil-related ratios, NLR, PNR, NLR/PLT, NER, and MNR exerted little influence on the discrimination but could enhance the calibration of the base model, and NER proved to work best. Conclusion Low PNR was the best indicator among the neutrophil-related ratios tin predicting a poor 90-day outcome of AIS patients. Moreover, high NER performed best when predicting the 90-day outcome to improve the calibration of the base model.
Collapse
Affiliation(s)
- Beibei Gao
- Department of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wenjing Pan
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xueting Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Junli Ren
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chenguang Yang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xinbo Zhou
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Tian Zeng
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jingyu Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shengqi Li
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yufan Gao
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shunkai Zhang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| |
Collapse
|
209
|
Huang H, Yang C, Chen CLP. Optimal Robot-Environment Interaction Under Broad Fuzzy Neural Adaptive Control. IEEE Trans Cybern 2021; 51:3824-3835. [PMID: 32568718 DOI: 10.1109/tcyb.2020.2998984] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
This article proposes a novel control strategy based on a broad fuzzy neural network (BFNN) which is subjected to contact with the unknown environment. Compared with the conventional fuzzy neural network (NN), a prominent feature can be achieved by taking the advantage of the broad learning system (BLS) to explicitly tackle the problem of how to choose a sufficient number of NN units to approximate the unknown dynamic model. Aiming at providing a soft compliant contact scheme without the requirement of the environment model, an adaptive impedance learning is developed to establish the optimal interaction between the robot and the environment. Meanwhile, the problems related to the state constraints are addressed by incorporating a barrier Lyapunov function (BLF) into the design of a trajectory tracking controller. The proposed method can achieve desired tracking and interaction performance while guaranteeing the stability of the closed-loop system. In addition, simulation and experimental studies are performed to verify the effectiveness of BFNN under optimal impedance control with a two degree-of-freedom (DOF) manipulator and a Baxter robot, respectively.
Collapse
|
210
|
Zhu H, Zhang Y, Pei Z, Guo Y, Yang C, Song Y, Guo X, Wang F. Manifestation of cardiac injury in hospitalised patients with COVID-19. Int J Clin Pract 2021; 75:e14197. [PMID: 33792126 PMCID: PMC8250309 DOI: 10.1111/ijcp.14197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 03/27/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND COVID-19 has been sweeping the world since it emerged in late December 2019. However, little is known about cardiac injury in hospitalised COVID-19 patients. This study is to investigate the incidence and characteristics of myocardial injury in COVID-19 patients admitted in hospital. METHODS Fifty-four COVID-19 patients were enrolled in one ward in Tongji Hospital, Wuhan, China, and 5 were excluded caused by missing cardiac troponin I levels. Forty-nine participants were included in the final analysis. The clinical manifestations of hospitalised patients were analysed. Patients were divided into two groups, cardiac injury group and non-cardiac injury group, based on whether cardiac troponin I was elevated. Epidemic characteristics and laboratory test results were analysed in these two group. RESULTS The average age of patients in the cardiac injury group was older (68.0 years old) than that in the non-cardiac injury group (61.5 years old). The percentages of patients with diabetes and critically severe pneumonia in the cardiac injury group were 38.5% and 38.5% respectively. Lymphocytes were decreased in 53.1% of all enrolled patients, but this decrease was more prominent (76.9%) in the cardiac injury group than the non-cardiac injury group (44.4%). Patients in the cardiac injury group also had lower platelet counts. CONCLUSIONS COVID-19 can cause cardiac injury in many patients. It is more common in older patients and patients with diabetes and is associated with a significant decrease in lymphocytes.
Collapse
Affiliation(s)
- Huolan Zhu
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing HospitalChinese Academy of Medical SciencesBeijingChina
- Peking Union Medical CollegeChinese Academy of Medical ScienceBeijingChina
| | - Yanfei Zhang
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing HospitalChinese Academy of Medical SciencesBeijingChina
| | - Zuowei Pei
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing HospitalChinese Academy of Medical SciencesBeijingChina
| | - Ying Guo
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing HospitalChinese Academy of Medical SciencesBeijingChina
| | - Chenguang Yang
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing HospitalChinese Academy of Medical SciencesBeijingChina
| | - Yan Song
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing HospitalChinese Academy of Medical SciencesBeijingChina
- Tongji HospitalWuhanChina
| | | | - Fang Wang
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing HospitalChinese Academy of Medical SciencesBeijingChina
- Tongji HospitalWuhanChina
| |
Collapse
|
211
|
Weng Y, Hu J, Ren J, Huang H, Yang C, Shen J, Pan W, Sun F, Qiu H, Gao Y, Li S, Huang X, Chen G. Dynamic Neutrophil-Lymphocyte Ratios Predict Short-term Prognostic Outcome of Thrombolysis in Patients with Acute Ischemic Stroke. Neurotox Res 2021; 39:1678-1687. [PMID: 34138446 DOI: 10.1007/s12640-021-00382-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/16/2021] [Accepted: 05/24/2021] [Indexed: 10/21/2022]
Abstract
AIM The main purpose of this study was to investigate the dynamic changes of neutrophils-lymphocytes ratios (NLRs) in patients with acute ischemic stroke (AIS) and their relationships with 3-month prognostic outcomes. METHODS Two hundred ninety-one patients with AIS were included in this study, followed up for 3 months. At admission, 1 and 7 days after recombinant tissue plasminogen activator (r-tPA) injection, blood samples were obtained. Outcome events included excellent outcome, good outcome, and death defined as modified Rankin Scale (mRS) scores of 0-1, 0-2, and 6 respectively. RESULTS NLRs measured in admission and 7 days after r-tPA treatment were associated with prognosis outcome after 3 months. Twenty-four-hour NLR is an excellent indicator in forecasting (excellent outcome's the areas under the curve (AUC) = 0.725; good outcome AUC = 0.742; death AUC = 0.759). In addition, we were surprised to find that dynamic increase in NLR within 24 h is significantly related to excellent and good outcomes. CONCLUSIONS Twenty-four-hour NLR is related to the severity of AIS and poor prognosis, which can help early risk stratification. SIGNIFICANCE We can predict the prognosis of AIS more accurately. Compared with previous studies, our study has shown the dynamic changes of NLR and its relationship with NIHSS and multiple prognostic.
Collapse
Affiliation(s)
- Yiyun Weng
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jingyu Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Junli Ren
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chenguang Yang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jiamin Shen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Wenjing Pan
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Fangyue Sun
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Haojie Qiu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yufan Gao
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shengqi Li
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xuerong Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, Wenzhou, China.
| |
Collapse
|
212
|
Wang LJ, Yang C, Dou ZJ, Wang PP, Hu ZX, Wang B. [Preliminary analysis of intestinal microflora in patients with different severity of OSAHS]. Zhonghua Jie He He Hu Xi Za Zhi 2021; 44:543-549. [PMID: 34102716 DOI: 10.3760/cma.j.cn112147-20201009-01027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the diversity, abundance and structural composition of intestinal microflora in patients with different severity of OSAHS, and to explore their potential role in the occurrence and development of OSAHS. Methods: A total of 27 healthy volunteers(N) [male 19, female 8, age 22-78(44.4±2.7)years old] of Health Examination Center of the Second Hospital of Shanxi Medical University and 100 patients with OSAHS [male 86, female 14, age 19-78(49.1±1.3) years old] of Sleep Medicine Center of the Second Hospital of Shanxi Medical University were enrolled from December 2018 to September 2019, and patient-related sleep monitoring data and medical history data were collected.According to the AHI classification and whether there were complications, OSAHS patients were divided into mild group (L), moderate group (M), severe group (S) and severe complication group (SC).Using 16S rRNA high-throughput sequencing technology to analyze the intestinal flora of all people, bioinformatics related statistics were analyzed by QIIME2 software, and clinical data were analyzed by SPSS 25.0 software. Results: There was no significant difference in intestinal flora Alpha and Beta diversity among all groups (P>0.05). At phylum level, the relative abundance of Bacteroides in OSAHS group was lower than that in normal group (N group: 24.96%, L group: 18.31%, M group: 12.95%, S group: 15.78%, Sc group: 16.48%). At genus level, the relative abundance of Bacteroides (N group:16.03%, L group: 10.82%, M group: 9.79%, S group: 9.29%, Sc group: 8.25%) and Faecalibacterium (N group: 11.21%, L group: 10.42%, M group: 10.21%, S group: 8.54%, Sc group: 6.27%) were negatively correlated with the severity of OSAHS (the values of r respectively were -0.887, -0.945) while the relative abundance of Bifidobacterium (N group: 3.20%, L group: 2.47%, M group: 4.10%, S group: 4.93%, Sc group: 6.27%) and Blautia (N group: 2.52%, L group: 3.59%, M group: 3.81%, S group: 4.11%, Sc group: 5.86%) were positively correlated with the severity of OSAHS (the values of r respectively were 0.916, 0.940) Compared with the S group, the relative abundance of Roseburia (S group: 10.22%, Sc group: 6.65%) in the Sc is lower and the relative abundance of Shigella(S group: 4.64%, Sc group: 10.01%) is higher. Redundancy analysis (RDA) showed that Apnea hypopnea index (AHI), The lowest oxygen saturation (SpO2min), The average saturation of blood oxygen (SpO2mean) and The longest time of apnea (Tmax) were not significantly correlated with the overall abundance of intestinal flora (P>0.05), However, there was a significant correlation between the abundance of different flora and sleep monitoring indicators. Conclusion: There is an intestinal microecological imbalance in patients with OSAHS, mainly due to the reduction of the relative abundance of probiotics producing short-chain fatty acids and the increase of pathogenic bacteria, suggesting that the disturbance of intestinal flora may be related to the occurrence and development of OSAHS.
Collapse
Affiliation(s)
- L J Wang
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - C Yang
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Z J Dou
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - P P Wang
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Z X Hu
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - B Wang
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| |
Collapse
|
213
|
Xie L, Xie J, Wang S, Chen B, Yang C, Wang Z, Liu X, Chen J, Jia K, Hao F. Fluorinated Oligomer Wrapped Perovskite Crystals for Inverted MAPbI 3 Solar Cells with 21% Efficiency and Enhanced Stability. ACS Appl Mater Interfaces 2021; 13:26093-26101. [PMID: 34053218 DOI: 10.1021/acsami.1c06216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Defects at the grain boundary provide sites for nonradiative recombination in halide perovskite solar cells (PSCs). Here, by polymerization and fluorination of a Lewis acid of 4,4-bis(4-hydroxyphenyl)pentanoic acid, a fluorinated oligomer (FO-19) is synthesized and applied to passivate these defects in methlyammonium lead iodide (MAPbI3). It is demonstrated that the carboxyl bond of FO-19 was coordinated with Pb ions in the perovskite films to achieve a wrapping effect on the perovskite crystals. The defects of perovskite film are effectively passivated, and the undesirable nonradiative recombination is greatly inhibited. As a result, FO-19 gives a power conversion efficiency of 21.23% for the inverted MAPbI3-based PSCs, which is among the highest reported values in the literature. Meanwhile, the corresponding device with FO-19 exhibits significantly improved humidity and thermal stability. Therefore, this work offers insights into the realization of high-efficiency and stable PSCs through fluorinated additive engineering.
Collapse
Affiliation(s)
- Lisha Xie
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Junni Xie
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Shurong Wang
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Bin Chen
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Chenguang Yang
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
- Faculty of Printing, Packaging and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, Shanxi, P. R. China
| | - Zhen Wang
- Faculty of Printing, Packaging and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, Shanxi, P. R. China
| | - Xiaobo Liu
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jiangzhao Chen
- Key Laboratory of Optoelectronic Technology & Systems (Ministry of Education), College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
| | - Kun Jia
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Feng Hao
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China
| |
Collapse
|
214
|
Lu DL, Wang YR, Yang C, Qi XN, Chen YL. [Mediastinal type AB thymoma with spindle cell carcinoid of the lung: report of a case]. Zhonghua Bing Li Xue Za Zhi 2021; 50:676-678. [PMID: 34078063 DOI: 10.3760/cma.j.cn112151-20201012-00778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- D L Lu
- The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China
| | - Y R Wang
- The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China
| | - C Yang
- The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China
| | - X N Qi
- Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Y L Chen
- Department of Pathology, the First Hospital of Lanzhou University, Lanzhou 730000, China
| |
Collapse
|
215
|
Qian M, Zhou X, Gao B, Huang H, Yang C, Zeng T, Shen J, Hu J, Sun F, Li S, Huang X, Chen G. Red cell index: A novel biomarker for 3-month mortality in acute ischemic stroke patients treated with intravenous thrombolysis. Brain Behav 2021; 11:e02170. [PMID: 33943024 PMCID: PMC8213941 DOI: 10.1002/brb3.2170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 04/09/2021] [Accepted: 04/18/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The red cell index (RCI) was described as a biomarker for evaluating respiratory function in previous studies, but the relationship between RCI and stroke, remained a mystery. The present study aimed to probe the association between RCI at 24-hr and 3-month mortality and functional outcomes among acute ischemic stroke (AIS) patients treated with recombinant tissue plasminogen activator (r-tPA). METHODS A total of 217 AIS patients between January 2016 and January 2019 were recruited in this retrospective study. AIS patients were grouped in terms of RCI tertiles. Predictive factors were confirmed via multivariate logistic regression analysis. The receiver operating characteristic (ROC) was used to assess the ability of RCI in predicting mortality. In addition, the risk of 3-month all-cause mortality was evaluated by Cox proportional hazard model. RESULTS We grouped AIS patients into tertiles with the purpose of comparing clinical factors and RCI levels. Multivariate logistic regression analysis presented that RCI (odds ratio [OR] = 1.443, 95% confidence interval [CI] [1.167-1.786], p = 0.001) was an independent biomarker for 3-month all-cause mortality. The best cutoff value of RCI was 2.41 (area under the curve [AUC] = 0.639, 95% CI [0.501-0.778], p = .032), with a sensitivity of 40.9% and a specificity of 89.7%. Cox survival analysis demonstrated a positive significant correlation between RCI (hazard ratio [HR] = 1.332, 95% CI [1.148-1.545], p < .001) and mortality risk. CONCLUSION RCI, a potential predictor, was significantly associated with 3-month mortality in AIS patients with r-tPA.
Collapse
Affiliation(s)
- Meizi Qian
- Department of Anesthesia, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xinbo Zhou
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Beibei Gao
- Department of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chenguang Yang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Tian Zeng
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jiamin Shen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jingyu Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Fangyue Sun
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shengqi Li
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xuerong Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| |
Collapse
|
216
|
Kong L, He W, Yang C, Sun C. Robust Neurooptimal Control for a Robot via Adaptive Dynamic Programming. IEEE Trans Neural Netw Learn Syst 2021; 32:2584-2594. [PMID: 32941154 DOI: 10.1109/tnnls.2020.3006850] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
We aim at the optimization of the tracking control of a robot to improve the robustness, under the effect of unknown nonlinear perturbations. First, an auxiliary system is introduced, and optimal control of the auxiliary system can be seen as an approximate optimal control of the robot. Then, neural networks (NNs) are employed to approximate the solution of the Hamilton-Jacobi-Isaacs equation under the frame of adaptive dynamic programming. Next, based on the standard gradient attenuation algorithm and adaptive critic design, NNs are trained depending on the designed updating law with relaxing the requirement of initial stabilizing control. In light of the Lyapunov stability theory, all the error signals can be proved to be uniformly ultimately bounded. A series of simulation studies are carried out to show the effectiveness of the proposed control.
Collapse
|
217
|
Affiliation(s)
- Yuan Guan
- Bristol Robotics Laboratory University of the West of England Bristol UK
| | - Ning Wang
- Bristol Robotics Laboratory University of the West of England Bristol UK
| | - Chenguang Yang
- Bristol Robotics Laboratory University of the West of England Bristol UK
| |
Collapse
|
218
|
Adam J, Adamczyk L, Adams J, Adkins J, Agakishiev G, Aggarwal M, Ahammed Z, Alekseev I, Anderson D, Aparin A, Aschenauer E, Ashraf M, Atetalla F, Attri A, Averichev G, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland L, Bordyuzhin I, Brandenburg J, Brandin A, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan B, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen J, Chen J, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Chu X, Crawford H, Csanád M, Daugherity M, Dedovich T, Deppner I, Derevschikov A, Didenko L, Dilks C, Dong X, Drachenberg J, Dunlop J, Edmonds T, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng C, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi C, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Guryn W, Hamad A, Hamed A, Harabasz S, Harris J, He S, He W, He X, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang H, Huang S, Huang T, Huang X, Humanic T, Huo P, Igo G, Isenhower D, Jacobs W, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd E, Kabana S, Kabir M, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke H, Keane D, Kechechyan A, Kelsey M, Khyzhniak Y, Kikoła D, Kim C, Kimelman B, Kincses D, Kinghorn T, Kisel I, Kiselev A, Kocan M, Kochenda L, Kosarzewski L, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur J, Lacey R, Lan S, Landgraf J, Lauret J, Lebedev A, Lednicky R, Lee J, Leung Y, Li C, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa M, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope W, Longacre R, Lukow N, Luo S, Luo X, Ma G, Ma L, Ma R, Ma Y, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis H, Mazer J, Minaev N, Mioduszewski S, Mohanty B, Mondal M, Mooney I, Moravcova Z, Morozov D, Nagy M, Nam J, Nasim M, Nayak K, Neff D, Nelson J, Nemes D, Nie M, Nigmatkulov G, Niida T, Nogach L, Nonaka T, Nunes A, Odyniec G, Ogawa A, Oh S, Okorokov V, Page B, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér R, Pluta J, Pokhrel B, Porter J, Posik M, Pruthi N, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan S, Ramachandran S, Ray R, Reed R, Ritter H, Rogachevskiy O, Romero J, Ruan L, Rusnak J, Sahoo N, Sako H, Salur S, Sandweiss J, Sato S, Schmidke W, Schmitz N, Schweid B, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan P, Shao M, Sheikh A, Shen W, Shi S, Shi Y, Shou Q, Sichtermann E, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka H, Srivastava B, Stanislaus T, Stefaniak M, Stewart D, Strikhanov M, Stringfellow B, Suaide A, Sumbera M, Summa B, Sun X, Sun X, Sun Y, Sun Y, Surrow B, Svirida D, Szymanski P, Tang A, Tang Z, Taranenko A, Tarnowsky T, Thomas J, Timmins A, Tlusty D, Tokarev M, Tomkiel C, Trentalange S, Tribble R, Tribedy P, Tripathy S, Tsai O, Tu Z, Ullrich T, Underwood D, Upsal I, Van Buren G, Vanek J, Vasiliev A, Vassiliev I, Videbæk F, Vokal S, Voloshin S, Wang F, Wang G, Wang J, Wang P, Wang Y, Wang Y, Wang Z, Webb J, Weidenkaff P, Wen L, Westfall G, Wieman H, Wissink S, Witt R, Wu Y, Xiao Z, Xie G, Xie W, Xu H, Xu N, Xu Q, Xu Y, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang S, Zhang S, Zhang X, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Measurement of transverse single-spin asymmetries of
π0
and electromagnetic jets at forward rapidity in 200 and 500 GeV transversely polarized proton-proton collisions. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.092009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
219
|
Weng Y, Zeng T, Huang H, Ren J, Wang J, Yang C, Pan W, Hu J, Sun F, Zhou X, Qiu H, Gao Y, Gao B, Chi L, Chen G. Systemic Immune-Inflammation Index Predicts 3-Month Functional Outcome in Acute Ischemic Stroke Patients Treated with Intravenous Thrombolysis. Clin Interv Aging 2021; 16:877-886. [PMID: 34040364 PMCID: PMC8143961 DOI: 10.2147/cia.s311047] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/29/2021] [Indexed: 12/16/2022] Open
Abstract
Background and Purpose Systemic immune-inflammation index (SII), a novel inflammation index derived from counts of circulating platelets, neutrophils and lymphocytes, has been studied in developing incident cancer. However, the clinical value of SII in acute ischemic stroke (AIS) patients had not been further investigated. Therefore, we aimed to explore the association between SII and severity of stroke as well as 3-month outcome of AIS patients. Methods A total of 216 AIS patients receiving intravenous thrombolysis (IVT) and 875 healthy controls (HCs) were retrospectively recruited. Blood samples were collected within 24h after admission. Severity of stroke was assessed by the National Institute of Health stroke scale (NIHSS) scores on admission and poor 3-month functional outcome was defined as Modified Rankin Scale (mRS) > 2. Results SII levels in AIS patients were higher than in HCs. The cut-off value of SII is 545.14×109/L. Patients with SII > 545.14×109/L had higher NIHSS scores (median: 5 vs 9, p < 0.001), a positive correlation between SII and NIHSS was observed (rs = 0.305, p < 0.001). Multivariate logistic regression analyses showed that high SII was one of the independent risk factors for poor prognosis at 3 months of AIS patients (OR = 3.953, 95% CI = 1.702-9.179, p = 0.001). The addition of SII to the conventional prognostic model improved the reclassification (but not discrimination) of the functional outcome (net reclassification index 39.3%, p = 0.007). Conclusion SII is correlated with stroke severity at admission and can be a novel prognostic biomarker for AIS patients treated with IVT.
Collapse
Affiliation(s)
- Yiyun Weng
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Tian Zeng
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Honghao Huang
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Junli Ren
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Jianing Wang
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Chenguang Yang
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Wenjing Pan
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Jingyu Hu
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Fangyue Sun
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Xinbo Zhou
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Haojie Qiu
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Yufan Gao
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.,Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Beibei Gao
- Department of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Lifen Chi
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| |
Collapse
|
220
|
Xia Y, Wang J, Fang X, Dou T, Han L, Yang C. Combined analysis of metagenomic data revealed consistent changes of gut microbiome structure and function in inflammatory bowel disease. J Appl Microbiol 2021; 131:3018-3031. [PMID: 34008889 DOI: 10.1111/jam.15154] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 03/13/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022]
Abstract
AIMS To reveal the consistency and discrepancy in the gut microbial structure and function in inflammatory bowel disease (IBD) patients from different regions. METHODS AND RESULTS Gut microbes, antibiotic resistance genes (ARGs) and virulence factors genes (VFGs) were analysed using metagenome data from three cohorts. The abundance of Escherichia coli extensively increased in IBD patients, whereas Subdoligranulum unclassified decreased dramatically in IBD patients from three countries. Escherichia coli showed a positive correlation with multiple ARGs and VFGs in cohorts from China and the United States, including multidrug-related resistance genes and Capsule and LOS-related virulence factors genes. Escherichia coli biofilm synthesis pathways significantly enriched in IBD patients from three different regions. Notably, Subdoligranulum unclassified and Eubacterium hallii were negatively related to ARGs and VFGs. CONCLUSIONS Consistent changes of microbiome structure and function were observed in IBD patients from three different regions. As pathogenic bacteria, E. coli may accelerate IBD progression through encapsulation in biofilms by upregulating antibiotic resistance in Crohn's disease patients. Subdoligranulum unclassified and E. hallii may be beneficial for IBD patients and could serve as potential probiotics for IBD treatment. SIGNIFICANCE AND IMPACT OF THE STUDY This work dispels worries about the regional differences in gut microbial changes in IBD patients and provides useful guidance for more rational microbiome-based therapies.
Collapse
Affiliation(s)
- Y Xia
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - J Wang
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China.,Department of Scientific Research, KMHD, Shenzhen, China
| | - X Fang
- Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - T Dou
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - L Han
- Department of Scientific Research, KMHD, Shenzhen, China
| | - C Yang
- Department of Scientific Research, KMHD, Shenzhen, China
| |
Collapse
|
221
|
Peng J, Ren XF, Yang C, Lan TB, Shao ZY, Chen Y. Effects of inflammatory response on renal function and TGF-β1 pathway of rats with aging-related kidney damage by upregulating the expression of CD36. Eur Rev Med Pharmacol Sci 2021; 24:8957-8967. [PMID: 32965022 DOI: 10.26355/eurrev_202009_22837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to explore the effects of inflammatory response on renal function and TGF-β1 pathway of rats with aging-related kidney damage by upregulating the CD36 expression. MATERIALS AND METHODS A total of 70 pathogen free (PF) Sprague-Dawley (SD) male rats were enrolled. The rats injected with normal saline and D-galactose were assigned to a control group and a model group, respectively. Those injected with both D-galactose and different concentrations of casein were assigned to casein A, B, and C groups accordingly, and 16 rats injected with D-galactose and with CD36 gene knocked out were assigned to a treatment group. The following methods were employed to determine the following factors of the rats: ELISA for serum inflammatory factors, Western blot for CD36 in kidney tissues, Real Time-PCR for TGF-β1, and Smad (2, 3, and 7) mRNA, radioimmunoassay for hyaluronic acid (HA) and laminin (LN), and colorimetry for the expression quantity of plasma superoxide dismutase (SOD) and malondialdehyde (MDA). An automatic biochemical analyzer was used to determine blood, urine, and renal function indexes. RESULTS After successful modeling, the model group showed significantly higher inflammatory indexes than the control group. The relative expression of CD36 in the model group was significantly higher than that in the control group and treatment group, and significantly lower than that in the casein groups. Both inflammatory indexes and relative expression of CD36 increased with the increase of casein concentration in the casein groups. Groups with severer inflammatory response showed higher renal function indexes, and higher expression of TGF-β1, Smad2, Smad3, HA, LN, and MDA, and those with decreased CD36 level showed lower renal function index levels. The Smad7 expression and SOD were contrary. CONCLUSIONS Inflammatory stress can promote the CD36 expression in renal tissues of aging rats and oxidative stress and affect TGF-β1/Smad pathway, thus aggravating renal fibrosis and renal damage in rats.
Collapse
Affiliation(s)
- J Peng
- Department of Nephrology, Central Theater Command General Hospital of the Chinese People's Liberation Army, Wuhan, China.
| | | | | | | | | | | |
Collapse
|
222
|
Yang C, Chen N, Tang XL, Qian XH, Cai CP. Immunomodulatory effects of IL-33 and IL-25 in an ovalbumin-induced allergic rhinitis mouse model. J BIOL REG HOMEOS AG 2021; 35:571-581. [PMID: 33738997 DOI: 10.23812/20-615-a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Both interleukin (IL)-33 and IL-25 induce Th2-type cytokine production by various cell types, suggesting that they may contribute to development of allergic disorders, however, the immunomodulatory effects of IL-33 and IL-25 in ovalbumin (OVA)-induced allergic rhinitis (AR) remain unclear. In the present study, anti-IL-33 and anti-IL-25 Abs were administrated intranasally during rechallenge in OVA-induced AR. Immunomodulatory effects were evaluated by measuring nasal rubbing, sneezing occurrence, serum OVA-specific antibodies, Th2 immune responses, neutrophil, eosinophil and mast cell recruitment into the nasal mucosa. We found that treatment with anti-IL-33 Ab markedly reduced nasal rubbing, sneezing events, Th2 immune responses, serum OVA-specific IgE and IgG1 levels, mucosal neutrophil, eosinophil and mast cell infiltration. In contrast, the effect of IL-25 antagonism was limited to attenuating the Th2 immune responses, and neutrophil and eosinophil infiltration. These observations indicate that IL-33 and IL-25 play a pathogenic role in an established AR mouse model, with a greater contribution of IL-33 than IL-25. Our findings suggest that IL-33 neutralization may be a potential approach for treatment of AR.
Collapse
Affiliation(s)
- C Yang
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Huangpu District, Shanghai, China
| | - N Chen
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Huangpu District, Shanghai, China
| | - X L Tang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Xuhui District, Shanghai, China
| | - X H Qian
- School of Biomedical Engineering, Shanghai Jiao Tong University, Xuhui District, Shanghai, China
| | - C P Cai
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Huangpu District, Shanghai, China
| |
Collapse
|
223
|
Abstract
AbstractIn robot-assisted rehabilitation, the performance of robotic assistance is dependent on the human user’s dynamics, which are subject to uncertainties. In order to enhance the rehabilitation performance and in particular to provide a constant level of assistance, we separate the task space into two subspaces where a combined scheme of adaptive impedance control and trajectory learning is developed. Human movement speed can vary from person to person and it cannot be predefined for the robot. Therefore, in the direction of human movement, an iterative trajectory learning approach is developed to update the robot reference according to human movement and to achieve the desired interaction force between the robot and the human user. In the direction normal to the task trajectory, human’s unintentional force may deteriorate the trajectory tracking performance. Therefore, an impedance adaptation method is utilized to compensate for unknown human force and prevent the human user drifting away from the updated robot reference trajectory. The proposed scheme was tested in experiments that emulated three upper-limb rehabilitation modes: zero interaction force, assistive and resistive. Experimental results showed that the desired assistance level could be achieved, despite uncertain human dynamics.
Collapse
|
224
|
Liu Y, Yang C, Qi W, Pei Z, Xue W, Zhu H, Dong M, Guo Y, Cong D, Wang F. The Impact of ABCB1 and CES1 Polymorphisms on Dabigatran Pharmacokinetics in Healthy Chinese Subjects. Pharmgenomics Pers Med 2021; 14:477-485. [PMID: 33935512 PMCID: PMC8081719 DOI: 10.2147/pgpm.s291723] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 03/19/2021] [Indexed: 11/23/2022]
Abstract
Dabigatran is a novel direct oral anticoagulant agent, whose plasma concentration is closely related to bleeding risk. Genetic polymorphisms can affect the level of plasma dabigatran. The purpose of this study was to understand the relationship between dabigatran-related genes and the plasma level of dabigatran in healthy Chinese subjects after taking a single oral dose. This study was performed with a single-center, single-dose, randomized, open-label, and four-period crossover trial design under both fasting and fed conditions. A total of 106 eligible healthy subjects were enrolled in the study and 104 were genotyped. One-way analysis of variance (ANOVA) was used to compare pharmacokinetic parameters among different genotypes and linear regression was applied to explore the multiplicative interaction between variables. In this study, we found that the genotype frequencies of CES1 rs2244613 and CES1 rs8192935 were significantly different between Chinese and Caucasians, but the genotype frequencies of ABCB1 rs1045642 and ABCB1 rs4148738 were similar in both populations. CES1 rs8192935 were associated with the peak concentration of dabigatran. There was no significant gender difference in the exposure level of dabigatran. Furthermore, food significantly delayed the absorption of dabigatran but had little effect on Cmax and AUC0-∞.
Collapse
Affiliation(s)
- Yue Liu
- Clinical Trial Center, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing Hospital, Beijing, People's Republic of China
| | - Chenguang Yang
- Internal Medicine-Cardiovascular Department, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Hospital, Beijing, People's Republic of China
| | - Wenyuan Qi
- Clinical Trial Center, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing Hospital, Beijing, People's Republic of China
| | - Zuowei Pei
- Internal Medicine-Cardiovascular Department, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Hospital, Beijing, People's Republic of China
| | - Wei Xue
- Clinical Trial Center, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing Hospital, Beijing, People's Republic of China
| | - Huolan Zhu
- Internal Medicine-Cardiovascular Department, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Hospital, Beijing, People's Republic of China
| | - Min Dong
- Internal Medicine-Cardiovascular Department, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Hospital, Beijing, People's Republic of China
| | - Ying Guo
- Internal Medicine-Cardiovascular Department, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Hospital, Beijing, People's Republic of China
| | - Duanduan Cong
- Clinical Trial Center, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing Hospital, Beijing, People's Republic of China
| | - Fang Wang
- Internal Medicine-Cardiovascular Department, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing Hospital, Beijing, People's Republic of China
| |
Collapse
|
225
|
Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Edmonds T, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Guryn W, Hamad AI, Hamed A, Harabasz S, Harris JW, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kinghorn TA, Kisel I, Kiselev A, Kocan M, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Lukow NS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mooney I, Moravcova Z, Morozov DA, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sheikh AI, Shen WQ, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu YF, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Global Polarization of Ξ and Ω Hyperons in Au+Au Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2021; 126:162301. [PMID: 33961449 DOI: 10.1103/physrevlett.126.162301] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 04/01/2021] [Indexed: 06/12/2023]
Abstract
Global polarization of Ξ and Ω hyperons has been measured for the first time in Au+Au collisions at sqrt[s_{NN}]=200 GeV. The measurements of the Ξ^{-} and Ξ[over ¯]^{+} hyperon polarization have been performed by two independent methods, via analysis of the angular distribution of the daughter particles in the parity violating weak decay Ξ→Λ+π, as well as by measuring the polarization of the daughter Λ hyperon, polarized via polarization transfer from its parent. The polarization, obtained by combining the results from the two methods and averaged over Ξ^{-} and Ξ[over ¯]^{+}, is measured to be ⟨P_{Ξ}⟩=0.47±0.10(stat)±0.23(syst)% for the collision centrality 20%-80%. The ⟨P_{Ξ}⟩ is found to be slightly larger than the inclusive Λ polarization and in reasonable agreement with a multiphase transport model. The ⟨P_{Ξ}⟩ is found to follow the centrality dependence of the vorticity predicted in the model, increasing toward more peripheral collisions. The global polarization of Ω, ⟨P_{Ω}⟩=1.11±0.87(stat)±1.97(syst)% was obtained by measuring the polarization of daughter Λ in the decay Ω→Λ+K, assuming the polarization transfer factor C_{ΩΛ}=1.
Collapse
Affiliation(s)
- J Adam
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- The Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M U Ashraf
- Central China Normal University, Wuhan, Hubei 430079
| | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - K Barish
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - F-H Chang
- National Cheng Kung University, Tainan 70101
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A Chatterjee
- Central China Normal University, Wuhan, Hubei 430079
| | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - M Chevalier
- University of California, Riverside, California 92521
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - M Csanád
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Edmonds
- Purdue University, West Lafayette, Indiana 47907
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Francisco
- Yale University, New Haven, Connecticut 06520
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - T Galatyuk
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - N Ghimire
- Temple University, Philadelphia, Pennsylvania 19122
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - X Gou
- Shandong University, Qingdao, Shandong 266237
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - S Harabasz
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - S He
- Central China Normal University, Wuhan, Hubei 430079
| | - W He
- Fudan University, Shanghai, 200433
| | - X H He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y He
- Shandong University, Qingdao, Shandong 266237
| | - S Heppelmann
- University of California, Davis, California 95616
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - E Hoffman
- University of Houston, Houston, Texas 77204
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Y Hong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - Y Hu
- Fudan University, Shanghai, 200433
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - X Huang
- Tsinghua University, Beijing 100084
| | - T J Humanic
- The Ohio State University, Columbus, Ohio 43210
| | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - A Jentsch
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Ji
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - M L Kabir
- University of California, Riverside, California 92521
| | - S Kagamaster
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - M Kelsey
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y V Khyzhniak
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - B Kimelman
- University of California, Davis, California 95616
| | - D Kincses
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - T A Kinghorn
- University of California, Davis, California 95616
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Kocan
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - L K Kosarzewski
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - S Kumar
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - S Lan
- Central China Normal University, Wuhan, Hubei 430079
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - C Li
- Shandong University, Qingdao, Shandong 266237
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Rice University, Houston, Texas 77251
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - R Licenik
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - T Lin
- Texas A&M University, College Station, Texas 77843
| | - Y Lin
- Central China Normal University, Wuhan, Hubei 430079
| | - M A Lisa
- The Ohio State University, Columbus, Ohio 43210
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - P Liu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- The Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Fudan University, Shanghai, 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Magdy
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - R Majka
- Yale University, New Haven, Connecticut 06520
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - N G Minaev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | | | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201
| | - Z Moravcova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - D A Morozov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - M Nagy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Nayak
- Central China Normal University, Wuhan, Hubei 430079
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A S Nunes
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - D Pawlowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - L Pinsky
- University of Houston, Houston, Texas 77204
| | - R L Pintér
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - B R Pokhrel
- Temple University, Philadelphia, Pennsylvania 19122
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | | | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J L Romero
- University of California, Davis, California 95616
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - F Seck
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | | | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - M Stefaniak
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D J Stewart
- Yale University, New Haven, Connecticut 06520
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de São Paulo, São Paulo, Brazil 05314-970
| | - M Sumbera
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - X Sun
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - S K Tripathy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - O D Tsai
- University of California, Los Angeles, California 90095
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Vanek
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - A N Vasiliev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281, Russia
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - P Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- University of California, Riverside, California 92521
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Yang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yu
- Shandong University, Qingdao, Shandong 266237
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Zhang
- State University of New York, Stony Brook, New York 11794
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | | | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Z Zhu
- Shandong University, Qingdao, Shandong 266237
| | - M Zurek
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| |
Collapse
|
226
|
WANG Q, Wang Y, Yang C, Wang J, Zhang L, Zhao M. POS-124 Trends in urolithiasis in China: a study based on a national database of hospitalized patients from 2013 to 2018. Kidney Int Rep 2021. [DOI: 10.1016/j.ekir.2021.03.132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
|
227
|
WANG Q, Wang Y, Yang C, Wang J, Zhang L, Zhao M. POS-123 Trends in urolithiasis in China: a study based on a national database of hospitalized patients from 2013 to 2018. Kidney Int Rep 2021. [DOI: 10.1016/j.ekir.2021.03.131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
|
228
|
Yu X, He W, Li Y, Xue C, Li J, Zou J, Yang C. Bayesian Estimation of Human Impedance and Motion Intention for Human-Robot Collaboration. IEEE Trans Cybern 2021; 51:1822-1834. [PMID: 31647450 DOI: 10.1109/tcyb.2019.2940276] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
This article proposes a Bayesian method to acquire the estimation of human impedance and motion intention in a human-robot collaborative task. Combining with the prior knowledge of human stiffness, estimated stiffness obeying Gaussian distribution is obtained by Bayesian estimation, and human motion intention can be also estimated. An adaptive impedance control strategy is employed to track a target impedance model and neural networks are used to compensate for uncertainties in robotic dynamics. Comparative simulation results are carried out to verify the effectiveness of estimation method and emphasize the advantages of the proposed control strategy. The experiment, performed on Baxter robot platform, illustrates a good system performance.
Collapse
|
229
|
Ogenyi UE, Liu J, Yang C, Ju Z, Liu H. Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators. IEEE Trans Cybern 2021; 51:1888-1901. [PMID: 31751257 DOI: 10.1109/tcyb.2019.2947532] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
This article presents a state-of-the-art survey on the robotic systems, sensors, actuators, and collaborative strategies for physical human-robot collaboration (pHRC). This article starts with an overview of some robotic systems with cutting-edge technologies (sensors and actuators) suitable for pHRC operations and the intelligent assist devices employed in pHRC. Sensors being among the essential components to establish communication between a human and a robotic system are surveyed. The sensor supplies the signal needed to drive the robotic actuators. The survey reveals that the design of new generation collaborative robots and other intelligent robotic systems has paved the way for sophisticated learning techniques and control algorithms to be deployed in pHRC. Furthermore, it revealed the relevant components needed to be considered for effective pHRC to be accomplished. Finally, a discussion of the major advances is made, some research directions, and future challenges are presented.
Collapse
|
230
|
Yan K, Xu F, Wei W, Yang C, Wang D, Shi X. Electrochemical synthesis of chitosan/silver nanoparticles multilayer hydrogel coating with pH-dependent controlled release capability and antibacterial property. Colloids Surf B Biointerfaces 2021; 202:111711. [PMID: 33773171 DOI: 10.1016/j.colsurfb.2021.111711] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/25/2021] [Accepted: 03/16/2021] [Indexed: 12/23/2022]
Abstract
By coupling in situ electrochemical synthesis of silver nanoparticles (AgNPs) with the pre-deposited chitosan multilayer hydrogel, a novel type of nanocomposite coating was successfully fabricated on the stainless-steel needle electrode. Experimental results demonstrated the chitosan film can serve as a versatile medium for metal salt adsorption and stabilization, and finally electrochemical reduction of loaded silver ions to nanoparticles. The AgNPs were fabricated with a spherical shape and an average size of ∼15 nm endowing considerable antibacterial property to the hydrogel. Furthermore, the unique layered architecture consisted of porous segments and compact boundaries is almost retained, resulting in a pH-dependent and staged release pattern of silver nanoparticles based on acid triggered dissolution of the multi-membrane layer by layer. Thus, considering the mild synthesizing approach, multi-functionalities and relatively low cytotoxicity, this antibacterial hydrogel would show great potential either to be used as a newly coating material for interfacial improvement of implants or as a free-standing film after being peeled off for wound dressing.
Collapse
Affiliation(s)
- Kun Yan
- School of Resource and Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Engineering Center of Natural Polymers-Based Medical Materials, Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, Wuhan, 430079, China; Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials & Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan, 430200, China
| | - Feiyang Xu
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials & Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan, 430200, China
| | - Wei Wei
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials & Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan, 430200, China
| | - Chenguang Yang
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials & Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan, 430200, China
| | - Dong Wang
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials & Application, Key Laboratory of Textile Fiber & Product, Ministry of Education, Wuhan Textile University, Wuhan, 430200, China.
| | - Xiaowen Shi
- School of Resource and Environmental Science, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Engineering Center of Natural Polymers-Based Medical Materials, Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, Wuhan, 430079, China.
| |
Collapse
|
231
|
Yang C, Yan K, Wen X, Cai P, Wu G. Radiation Grafting Assisted Preparation of Layered Structure Polypropylene Foam with Superthermal Insulation and Hydrophobic Properties via a Supercritical CO 2 Batch Foaming Process. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05667] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Chenguang Yang
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific Technological Cooperation Base of Intelligent Textile Materials & Application, Wuhan Textile University, Wuhan 430200, China
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Kun Yan
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific Technological Cooperation Base of Intelligent Textile Materials & Application, Wuhan Textile University, Wuhan 430200, China
| | - Xin Wen
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific Technological Cooperation Base of Intelligent Textile Materials & Application, Wuhan Textile University, Wuhan 430200, China
| | - Peijun Cai
- Hubei Key Laboratory of Advanced Textile Materials & Application, Hubei International Scientific Technological Cooperation Base of Intelligent Textile Materials & Application, Wuhan Textile University, Wuhan 430200, China
| | - Guozhong Wu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| |
Collapse
|
232
|
Zhu S, Yang C, Li J, Mei W. 121 Mediating Factors Between Caregiver Burden and Quality of Life in Caregivers of Older Patients with Newly Diagnosed Lung Cancer. Age Ageing 2021. [DOI: 10.1093/ageing/afab030.82] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Family caregivers of older patients with newly diagnosed lung cancer become responsible for patients’ care, usually without preparation or training in provision of care. Their efforts of care generate caregiving burden, which could deteriorate their quality of life and affect the prognosis of patients. The aims of this study were to examine associations between caregiver burden and quality of life, coping, social support for family caregivers, and to investigate whether coping and social support mediate associations between family caregiver burden and their quality of life.
Methods
A cross-sectional study was performed at two thoracic surgery wards in one tertiary hospital in Changsha, China from November 2019 to May 2020. This study involved 224 family caregivers of patients aged over 50 years and newly diagnosed with lung cancer. Caregivers-reported outcomes were measured by Zarit caregiver burden interview, simplified coping style questionnaire, social support rating scale, and quality of life family version. Structural equation modeling (SEM) was used to test the hypothesized mediation model.
Results
SEM indicated a good fit for the mediation model, which explained 49.7% of the variance of quality of life. Higher level of caregivers’ burden was negatively associated with quality of life (r = 0.183, P = 0.042). Coping partially mediated the effect of caregiver burden on quality of life (indirect effect −0.389, P = 0.000). Social support did not mediate the relationship between caregiver burden and quality of life (indirect effect −0.023, P = 0.087).
Conclusions
Caregivers’ burden of patients with newly diagnosed lung cancer is correlated to quality of life which is partially mediated by coping. Early intervention providing caregivers with positive coping strategies may improve their quality of life.
Collapse
Affiliation(s)
- S Zhu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - C Yang
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - J Li
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - W Mei
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| |
Collapse
|
233
|
Yang C, Hui Z, Zhu S, Wang X, Tang G, Lee DTF. 83 A Medication Self-Management Intervention to Improve Medication Adherence For Older People with Multimorbidity: A Pilot Study. Age Ageing 2021. [DOI: 10.1093/ageing/afab030.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Medication self-management support has been recognised as an essential element in primary health care to promote medication adherence and health outcomes for older people with chronic conditions. A patient-centred intervention empowering patients and supporting medication self-management activities could benefit older people. This pilot study tested a newly developed medication self-management intervention for improving medication adherence among older people with multimorbidity.
Method
This was a two-arm randomised controlled trial. Older people with multimorbidity were recruited from a community healthcare centre in Changsha, China. Participants were randomly allocated to either a control group receiving usual care (n = 14), or to an intervention group receiving three face-to-face medication self-management sessions and two follow-up phone calls over six weeks, targeting behavioural determinants of adherence from the Information-Motivation-Behavioural skills model (n = 14). Feasibility was assessed through recruitment and retention rates, outcome measures collection, and intervention implementation. Follow-up data were measured at six weeks after baseline using patient-reported outcomes including medication adherence, medication self-management capabilities, treatment experiences, and quality of life. Preliminary effectiveness of the intervention was explored using generalised estimating equations.
Results
Of the 72 approached participants, 28 (38.89%) were eligible for study participation. In the intervention group, 13 participants (92.86%) completed follow-up and 10 (71.42%) completed all intervention sessions. Ten participants (71.42%) in the control group completed follow-up. The intervention was found to be acceptable by participants and the intervention nurse. Comparing with the control group, participants in the intervention group showed significant improvements in medication adherence (β = 0.26, 95%CI 0.12, 0.40, P < 0.001), medication knowledge (β = 4.43, 95%CI 1.11, 7.75, P = 0.009), and perceived necessity of medications (β = −2.84, 95%CI -5.67, −0.01, P = 0.049) at follow-up.
Conclusions
The nurse-led medication self-management intervention is feasible and acceptable among older people with multimorbidity. Preliminary results showed that the intervention may improve patients’ medication knowledge and beliefs and thus lead to improved adherence.
Collapse
Affiliation(s)
- C Yang
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Z Hui
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - S Zhu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - X Wang
- Xiang Ya Nursing School, Central South University, Changsha, China
| | - G Tang
- Department of Geriatrics, The Third Xiangya Hospital of Central South University, Changsha, China
| | - D T F Lee
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
234
|
Yang C, Hui Z, Zhu S, Wang X, Tang G, Lee DTF. 122 A Medication Self-Management Intervention to Improve Medication Adherence for Older People with Multimorbidity: A Pilot Trial. Age Ageing 2021. [DOI: 10.1093/ageing/afab030.83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Medication self-management support has been recognised as an essential element in primary health care to promote medication adherence and health outcomes for older people with chronic conditions. A patient-centred intervention empowering patients and supporting medication self-management activities could benefit older people. This pilot study tested a newly developed medication self-management intervention for improving medication adherence among older people with multimorbidity.
Method
This was a two-arm randomised controlled trial. Older people with multimorbidity were recruited from a community healthcare centre in Changsha, China. Participants were randomly allocated to either a control group receiving usual care (n = 14), or to an intervention group receiving three face-to-face medication self-management sessions and two follow-up phone calls over six weeks, targeting behavioural determinants of adherence from the Information-Motivation-Behavioural skills model (n = 14). Feasibility was assessed through recruitment and retention rates, outcome measures collection, and intervention implementation. Follow-up data were measured at six weeks after baseline using patient-reported outcomes including medication adherence, medication self-management capabilities, treatment experiences, and quality of life. Preliminary effectiveness of the intervention was explored using generalised estimating equations.
Results
Of the 72 approached participants, 28 (38.89%) were eligible for study participation. In the intervention group, 13 participants (92.86%) completed follow-up and 10 (71.42%) completed all intervention sessions. Ten participants (71.42%) in the control group completed follow-up. The intervention was found to be acceptable by participants and the intervention nurse. Comparing with the control group, participants in the intervention group showed significant improvements in medication adherence (β = 0.26, 95%CI 0.12, 0.40, P < 0.001), medication knowledge (β = 4.43, 95%CI 1.11, 7.75, P = 0.009), and perceived necessity of medications (β = −2.84, 95%CI -5.67, −0.01, P = 0.049) at follow-up.
Conclusions
The nurse-led medication self-management intervention is feasible and acceptable among older people with multimorbidity. Preliminary results showed that the intervention may improve patients’ medication knowledge and beliefs and thus lead to improved adherence.
Collapse
Affiliation(s)
- C Yang
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Z Hui
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - S Zhu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - X Wang
- Xiang Ya Nursing School, Central South University, Changsha, China
| | - G Tang
- Department of Geriatrics, The Third Xiangya Hospital of Central South University, Changsha, China
| | - D T F Lee
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
235
|
Huang M, Feng S, Yang C, Wen F, He D, Jiang P. Construction of an MnO 2 nanosheet array 3D integrated electrode for sensitive enzyme-free glucose sensing. Anal Methods 2021; 13:1247-1254. [PMID: 33615320 DOI: 10.1039/d0ay02163f] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
MnO2 based electrochemical enzyme-free glucose sensors remain significantly limited by their low electronic conductivity and associated complex preparation. In this paper, an MnO2 nanosheet array supported on nickel foam (MnO2 NS/NF) was prepared using a simple hydrothermal synthesis and employed as a 3D integrated electrode for enzyme-free glucose detection. It was found that MnO2 NS/NF shows high performance with a wide linear range from 1 μM to 1.13 mM, a high sensitivity of 6.45 mA mM-1 cm-2, and a low detection limit of 0.5 μM (S/N = 3). Besides, MnO2 NS/NF shows high selectivity against common interferences and good reliability for glucose detection in human serum. This work demonstrates the promising role of MnO2 NS/NF as an efficient integrated electrode in enzyme-free glucose detection with high performance.
Collapse
Affiliation(s)
- M Huang
- Chongqing Key Laboratory of Inorganic Functional Materials, College of Chemistry, Chongqing Normal University, Chongqing 401331, China.
| | | | | | | | | | | |
Collapse
|
236
|
Yu X, Wang X, Ji F, Zhang W, Yang C, Xu F, Wang F. A Non-inferiority, Randomized Clinical Trial Comparing Paclitaxel-Coated Balloon Versus New-Generation Drug-Eluting Stents on Angiographic Outcomes for Coronary De Novo Lesions. Cardiovasc Drugs Ther 2021; 36:655-664. [PMID: 33713211 PMCID: PMC9270292 DOI: 10.1007/s10557-021-07172-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/08/2021] [Indexed: 11/24/2022]
Abstract
Background Drug-coated balloon (DCB) has been proved efficacy for coronary small vessel disease, but data regarding outcomes of DCB in common de novo lesions (including reference vessel diameter more than 3.0mm) compared with new-generation drug-eluting stent (DES) are lacking. We hypothesized that a DCB-only strategy for coronary de novo lesions would be non-inferior to DES treatment on angiographic outcomes. Methods In this randomized controlled trial, we compared the effect of DCB with DES on late lumen loss (LLL) at 9-month angiographic follow-up and 12-month major adverse cardiac events (MACEs), including death, non-fatal myocardial infarction, target lesion revascularization (TLR), and target vessel revascularization (TVR). Results From July 2017 to July 2018, 288 consecutive patients with reference vessel diameter (RVD) between 2.25 and 4.0mm were screened. After proper pre-dilation, 170 patients were enrolled and randomized to the DCB and the DES groups at 1:1 ratio. Seven patients withdrew the consent forms during hospital stay (1 in DCB group, 6 in DES group). Two patients in DCB group underwent bailout stenting due to severe dissection after DCB release. The primary endpoint of 9-month LLL was −0.19±0.49mm with the DCB versus 0.03±0.64mm with the DES. The one-sided 97.5% upper confidence limit of the difference was −0.04mm, achieving non-inferiority of the DCB compared with the DES (P=0.019). The 12-month cumulative MACE rate was similar in the DCB and DES groups (2.44% vs. 6.33%, P=0.226). Conclusions In this prospective study, the DCB only strategy for de novo lesion was non-inferior to the new-generation DES in terms of 9-month late lumen loss. Supplementary Information The online version contains supplementary material available at 10.1007/s10557-021-07172-4.
Collapse
Affiliation(s)
- Xue Yu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, P. R. China
| | - Xinyue Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, P. R. China
| | - Fusui Ji
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, P. R. China.
| | - Wenduo Zhang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, P. R. China
| | - Chenguang Yang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, P. R. China
| | - Feng Xu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, P. R. China
| | - Fang Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, P. R. China
| |
Collapse
|
237
|
Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Edmonds T, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Gibson A, Gopal K, Gou X, Grosnick D, Guryn W, Hamad AI, Hamed A, Harabasz S, Harris JW, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kinghorn TA, Kisel I, Kiselev A, Kocan M, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Lukow NS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mooney I, Moravcova Z, Morozov DA, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sheikh AI, Shen WQ, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu YF, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Nonmonotonic Energy Dependence of Net-Proton Number Fluctuations. Phys Rev Lett 2021; 126:092301. [PMID: 33750161 DOI: 10.1103/physrevlett.126.092301] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/19/2020] [Accepted: 01/27/2021] [Indexed: 06/12/2023]
Abstract
Nonmonotonic variation with collision energy (sqrt[s_{NN}]) of the moments of the net-baryon number distribution in heavy-ion collisions, related to the correlation length and the susceptibilities of the system, is suggested as a signature for the quantum chromodynamics critical point. We report the first evidence of a nonmonotonic variation in the kurtosis times variance of the net-proton number (proxy for net-baryon number) distribution as a function of sqrt[s_{NN}] with 3.1 σ significance for head-on (central) gold-on-gold (Au+Au) collisions measured solenoidal tracker at Relativistic Heavy Ion Collider. Data in noncentral Au+Au collisions and models of heavy-ion collisions without a critical point show a monotonic variation as a function of sqrt[s_{NN}].
Collapse
Affiliation(s)
- J Adam
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210, USA
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843, USA
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E C Aschenauer
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - M U Ashraf
- Central China Normal University, Wuhan, Hubei 430079, China
| | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - K Barish
- University of California, Riverside, California 92521, USA
| | - A Behera
- State University of New York, Stony Brook, New York 11794, USA
| | - R Bellwied
- University of Houston, Houston, Texas 77204, USA
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520, USA
| | | | - D Cebra
- University of California, Davis, California 95616, USA
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973, USA
- Kent State University, Kent, Ohio 44242, USA
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B K Chan
- University of California, Los Angeles, California 90095, USA
| | - F-H Chang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | | | - A Chatterjee
- Central China Normal University, Wuhan, Hubei 430079, China
| | - D Chen
- University of California, Riverside, California 92521, USA
| | - J Chen
- Shandong University, Qingdao, Shandong 266237, China
| | - J H Chen
- Fudan University, Shanghai 200433, China
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237, China
| | - J Cheng
- Tsinghua University, Beijing 100084, China
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178, USA
| | - M Chevalier
- University of California, Riverside, California 92521, USA
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - H J Crawford
- University of California, Berkeley, California 94720, USA
| | - M Csanád
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699, USA
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - T Edmonds
- Purdue University, West Lafayette, Indiana 47907, USA
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201, USA
| | - J Engelage
- University of California, Berkeley, California 94720, USA
| | - G Eppley
- Rice University, Houston, Texas 77251, USA
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - P Federic
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C J Feng
- National Cheng Kung University, Tainan 70101, Taiwan
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907, USA
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515, USA
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Francisco
- Yale University, New Haven, Connecticut 06520, USA
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - C A Gagliardi
- Texas A&M University, College Station, Texas 77843, USA
| | - T Galatyuk
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251, USA
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383, USA
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - X Gou
- Shandong University, Qingdao, Shandong 266237, China
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383, USA
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A I Hamad
- Kent State University, Kent, Ohio 44242, USA
| | - A Hamed
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - S Harabasz
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J W Harris
- Yale University, New Haven, Connecticut 06520, USA
| | - S He
- Central China Normal University, Wuhan, Hubei 430079, China
| | - W He
- Fudan University, Shanghai 200433, China
| | - X H He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
| | - Y He
- Shandong University, Qingdao, Shandong 266237, China
| | - S Heppelmann
- University of California, Davis, California 95616, USA
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - E Hoffman
- University of Houston, Houston, Texas 77204, USA
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Y Hong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Horvat
- Yale University, New Haven, Connecticut 06520, USA
| | - Y Hu
- Fudan University, Shanghai 200433, China
| | - H Z Huang
- University of California, Los Angeles, California 90095, USA
| | - S L Huang
- State University of New York, Stony Brook, New York 11794, USA
| | - T Huang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - X Huang
- Tsinghua University, Beijing 100084, China
| | - T J Humanic
- Ohio State University, Columbus, Ohio 43210, USA
| | - P Huo
- State University of New York, Stony Brook, New York 11794, USA
| | - G Igo
- University of California, Los Angeles, California 90095, USA
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699, USA
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408, USA
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - A Jentsch
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y Ji
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973, USA
- State University of New York, Stony Brook, New York 11794, USA
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201, USA
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - E G Judd
- University of California, Berkeley, California 94720, USA
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - M L Kabir
- University of California, Riverside, California 92521, USA
| | - S Kagamaster
- Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408, USA
| | - K Kang
- Tsinghua University, Beijing 100084, China
| | - D Kapukchyan
- University of California, Riverside, California 92521, USA
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D Keane
- Kent State University, Kent, Ohio 44242, USA
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - M Kelsey
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Y V Khyzhniak
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521, USA
| | - B Kimelman
- University of California, Davis, California 95616, USA
| | - D Kincses
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - T A Kinghorn
- University of California, Davis, California 95616, USA
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - M Kocan
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - L K Kosarzewski
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - S Kumar
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
| | | | - J H Kwasizur
- Indiana University, Bloomington, Indiana 47408, USA
| | - R Lacey
- State University of New York, Stony Brook, New York 11794, USA
| | - S Lan
- Central China Normal University, Wuhan, Hubei 430079, China
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y H Leung
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - C Li
- Shandong University, Qingdao, Shandong 266237, China
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - W Li
- Rice University, Houston, Texas 77251, USA
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Y Li
- Tsinghua University, Beijing 100084, China
| | - Y Liang
- Kent State University, Kent, Ohio 44242, USA
| | - R Licenik
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - T Lin
- Texas A&M University, College Station, Texas 77843, USA
| | - Y Lin
- Central China Normal University, Wuhan, Hubei 430079, China
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210, USA
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079, China
| | - H Liu
- Indiana University, Bloomington, Indiana 47408, USA
| | - P Liu
- State University of New York, Stony Brook, New York 11794, USA
| | - P Liu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - T Liu
- Yale University, New Haven, Connecticut 06520, USA
| | - X Liu
- Ohio State University, Columbus, Ohio 43210, USA
| | - Y Liu
- Texas A&M University, College Station, Texas 77843, USA
| | - Z Liu
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201, USA
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079, China
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - L Ma
- Fudan University, Shanghai 200433, China
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - N Magdy
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - R Majka
- Yale University, New Haven, Connecticut 06520, USA
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - S Margetis
- Kent State University, Kent, Ohio 44242, USA
| | - C Markert
- University of Texas, Austin, Texas 78712, USA
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N G Minaev
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | | | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201, USA
| | - Z Moravcova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - D A Morozov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - M Nagy
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Nayak
- Central China Normal University, Wuhan, Hubei 430079, China
| | - D Neff
- University of California, Los Angeles, California 90095, USA
| | - J M Nelson
- University of California, Berkeley, California 94720, USA
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520, USA
| | - M Nie
- Shandong University, Qingdao, Shandong 266237, China
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A S Nunes
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S Oh
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - D Pawlowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079, China
| | - C Perkins
- University of California, Berkeley, California 94720, USA
| | - L Pinsky
- University of Houston, Houston, Texas 77204, USA
| | - R L Pintér
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201, USA
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | | | - S Ramachandran
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - R L Ray
- University of Texas, Austin, Texas 78712, USA
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | | | - J L Romero
- University of California, Davis, California 95616, USA
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Rusnak
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237, China
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520, USA
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794, USA
| | - F Seck
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178, USA
| | - M Sergeeva
- University of California, Los Angeles, California 90095, USA
| | - R Seto
- University of California, Riverside, California 92521, USA
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute of Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - A I Sheikh
- Kent State University, Kent, Ohio 44242, USA
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237, China
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520, USA
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408, USA
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907, USA
| | | | - M Stefaniak
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D J Stewart
- Yale University, New Haven, Connecticut 06520, USA
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de São Paulo, São Paulo 05314-970, Brazil
| | - M Sumbera
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079, China
| | - X Sun
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000, China
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824, USA
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A R Timmins
- University of Houston, Houston, Texas 77204, USA
| | - D Tlusty
- Creighton University, Omaha, Nebraska 68178, USA
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - S Trentalange
- University of California, Los Angeles, California 90095, USA
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843, USA
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S K Tripathy
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - O D Tsai
- University of California, Los Angeles, California 90095, USA
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - I Upsal
- Brookhaven National Laboratory, Upton, New York 11973, USA
- Shandong University, Qingdao, Shandong 266237, China
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Vanek
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - A N Vasiliev
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - S A Voloshin
- Wayne State University, Detroit, Michigan 48201, USA
| | - F Wang
- Purdue University, West Lafayette, Indiana 47907, USA
| | - G Wang
- University of California, Los Angeles, California 90095, USA
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000, China
| | - P Wang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Y Wang
- Tsinghua University, Beijing 100084, China
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237, China
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | | | - L Wen
- University of California, Los Angeles, California 90095, USA
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824, USA
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408, USA
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402, USA
| | - Y Wu
- University of California, Riverside, California 92521, USA
| | - Z G Xiao
- Tsinghua University, Beijing 100084, China
| | - G Xie
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907, USA
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000, China
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237, China
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237, China
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Z Xu
- University of California, Los Angeles, California 90095, USA
| | - C Yang
- Shandong University, Qingdao, Shandong 266237, China
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237, China
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - Z Yang
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Z Ye
- Rice University, Houston, Texas 77251, USA
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - L Yi
- Shandong University, Qingdao, Shandong 266237, China
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y Yu
- Shandong University, Qingdao, Shandong 266237, China
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C Zhang
- State University of New York, Stony Brook, New York 11794, USA
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079, China
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - X P Zhang
- Tsinghua University, Beijing 100084, China
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Z Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907, USA
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - X Zhu
- Tsinghua University, Beijing 100084, China
| | - Z Zhu
- Shandong University, Qingdao, Shandong 266237, China
| | - M Zurek
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| |
Collapse
|
238
|
Hou S, Luo J, Yang C, Zhang W. Improvement of the passive efficiency calibration of the segmented gamma scanner. KERNTECHNIK 2021. [DOI: 10.1515/kern-2020-0042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
The Segmented Gamma Scanner(SGS) technology is specially used for type identification and activity quantitative analysis of radioactive material in sealed containers, which mainly divided into the transmission measurement and the emission measurement. In actual measurement process, it cannot meet the need for rapid analysis because the efficiency calibration time takes up more than 60% of the whole detect time in the data analysis. Whereas most previous research have focused on theory or specific applications, this research groups aim to different aspects of the SGS technique and direct it at an audience with interests in the need for rapid analysis. The Monte Carlo simulation calculation models were established by the passive efficiency calibration method, and then the detection efficiency database was carried out based on the experimental verification. Lots of work was used to analysis the influence of crosstalk between layers and interpolation step. Furthermore, the database was implanted into the control and analysis system to complete the measurement experiments. The results show the measuring time of single waste drums is about 30 min, and the average relative deviation is less than 10%, so the problem that the time taken to calibrate the detection efficiency is too long has been solved effectively. The efficiency in the use of SGS technology has been increased.
Collapse
Affiliation(s)
- S. Hou
- Shaanxi Engineering Research Center of Controllable Neutron Source, School of Science , Xijing University , Xi’an China
| | - J. Luo
- Shaanxi Engineering Research Center of Controllable Neutron Source, School of Science , Xijing University , Xi’an China
| | - C. Yang
- Shaanxi Engineering Research Center of Controllable Neutron Source, School of Science , Xijing University , Xi’an China
| | - W. Zhang
- Shaanxi Engineering Research Center of Controllable Neutron Source, School of Science , Xijing University , Xi’an China
| |
Collapse
|
239
|
Affiliation(s)
- Chenguang Yang
- Bristol Robotics Laboratory University of the West of England Bristol, Bristol, U.K
| | - Yan Wu
- Robotics and Autonomous Systems Department, A*STAR Institute for Infocomm Research, Singapore
| | - Fanny Ficuciello
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Napoli, Italy
| | - Xin Wang
- Department of Robotics, Shenzhen Academy of Aerospace Technology, Shenzhen, China
| | - Angelo Cangelosi
- Department of Computer Science, University of Manchester Manchester, U.K
| |
Collapse
|
240
|
Marcovitz A, Gottimukkala R, Bee G, Kilzer J, Mital V, Wong-Ho E, Yang C, Tseng Y, Myrand S, Williams P, Teoh A, Sadis S, Hyland F. P46.07 An Extended Targeted RNA Sequencing for Fusion Detection with Oncomine Comprehensive Assay Plus. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
241
|
Su P, Hsiao S, Shih J, Chang G, Lin M, Yang C, Hsia T, Lin M, Yang S, Chen Y. P21.12 An Observational Study of Treatment Outcome in Stage III Lung Cancer Patients in Taiwan: KINDLE study. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
242
|
|
243
|
Lin S, Mu J, Guo X, Gao Y, Wang L, Yang C, Wang Z. P06.04 Single-Stage Bilateral Pulmonary Resections by Uniportal Video-Assisted Thoracic Surgery for Multiple Small Nodules. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
244
|
Chang G, Shih J, Chao H, Yang C, Lin C, Hung J, Hsiao S, Wang C, Chian C, Hsia T, Yu C, Chen Y. P86.15 Osimertinib Real-World Experience in EGFR T790M Positive Locally Advanced or Metastatic NSCLC in Taiwan. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
245
|
Tan Z, Lu P, Adewole D, Diarra M, Gong J, Yang C. Iron requirement in the infection of Salmonella and its relevance to poultry health. J APPL POULTRY RES 2021. [DOI: 10.1016/j.japr.2020.09.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
|
246
|
Yuan M, Xie Q, Shen P, Yang C. Do sex hormone imbalances contribute to idiopathic condylar resorption? Int J Oral Maxillofac Surg 2021; 50:1244-1248. [PMID: 33632575 DOI: 10.1016/j.ijom.2021.01.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/22/2020] [Accepted: 01/21/2021] [Indexed: 11/18/2022]
Abstract
Idiopathic condylar resorption (ICR) is an aggressive form of temporomandibular joint disease that most frequently presents in adolescent girls during the pubertal growth spurt. Although numerous studies have indicated that the etiopathogenesis of ICR may be related to estrogen deficiency, the decisive role of estrogens remains controversial, and other sex hormone disturbances have not yet been investigated in this regard. Therefore, the aim of this study was to ascertain the role of serum estrogen levels and also the roles of other sex hormones in the pathogenesis of ICR. Ninety-four ICR patients and 324 disc displacement (DD) patients, of both sexes, were enrolled. Information on menstruation and serum levels of follicle-stimulating hormone, luteinizing hormone, prolactin, 17β-estradiol (E2), testosterone, and progesterone were recorded and analyzed. The results showed that female ICR patients had normal puberty onset, within the average age range. Use of oral contraceptives and other menstruation-regulating pharmaceuticals was similar in the two groups. Of note, neither serum E2 levels nor those of the other sex hormones differed significantly between female ICR and DD patients. However, male ICR patients had significantly increased serum testosterone levels (P=0.002) and relatively higher E2 levels (P=0.095) compared to DD patients. This study found that reduced serum E2 did not contribute to ICR; instead, systemic testosterone disturbances were found to be related to ICR.
Collapse
Affiliation(s)
- M Yuan
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, China
| | - Q Xie
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, China
| | - P Shen
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, China.
| | - C Yang
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, China.
| |
Collapse
|
247
|
Affiliation(s)
- Weiyong Si
- Bristol Robotics Laboratory University of the West of England Bristol UK
| | - Ning Wang
- Bristol Robotics Laboratory University of the West of England Bristol UK
| | - Chenguang Yang
- Bristol Robotics Laboratory University of the West of England Bristol UK
| |
Collapse
|
248
|
Li YP, Shi B, Zhang JR, Liu YP, Shen GF, Guo CB, Yang C, Li ZB, Zhang ZG, Wang HM, Lu L, Hu KJ, Ji P, Xu B, Zhang W, Liu JM, Gong ZC, Ren ZP, Tian L, Yuan H, Zhang H, Ma J, Kong L. [Expert consensus on the treatment of oral and maxillofacial space infections]. Zhonghua Kou Qiang Yi Xue Za Zhi 2021; 56:136-144. [PMID: 33557496 DOI: 10.3760/cma.j.cn112144-20200323-00169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Oral and maxillofacial space infections (OMSI) are common diseases of the facial region involving fascial spaces. Recently, OMSI shows trends of multi drug-resistance, severe symptoms, and increased mortality. OMSI treatment principles need to be updated to improve the cure rate. Based on the clinical experiences of Chinese experts and with the incorporation of international counterparts' expertise, the principles of preoperative checklist, interpretation of examination results, empirical medication principles, surgical treatment principles, postoperative drainage principles, prevention strategies of wisdom teeth pericoronitis-related OMSI, blood glucose management, physiotherapy principles, Ludwig's angina treatment and perioperative care were systematically summarized and an expert consensus on the diagnosis and treatment of OMSI was reached. The consensus aims to provide criteria for the diagnosis and treatment of OMSI in China so as to improve the level of OMSI treatment.
Collapse
Affiliation(s)
- Y P Li
- Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| | - B Shi
- Department of Cleft Lip and Palate Surgery, West China Hospital of Stomatology, Sichuan University & State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Chengdu 610041, China
| | - J R Zhang
- Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| | - Y P Liu
- Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| | - G F Shen
- Shanghai University of Medicine & Health Sciences, Shanghai 200120, China
| | - C B Guo
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - C Yang
- Department of Oral and Maxillofacial Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology & National Clinical Research Center of Stomatology, Shanghai 200011, China
| | - Z B Li
- Department of Oral and Maxillofacial Trauma and Plastic Surgery, School of Stomatology, Wuhan University, Wuhan 430079, China
| | - Z G Zhang
- Department of Oral and Maxillofacial Surgery, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University & Guangdong Provincial Key Laboratory of Stomatology, Guangzhou 510055, China
| | - H M Wang
- Department of Oral Implantology, The Affiliated Hospital of Stomatology, School of Stomatology, Zhejiang University School of Medicine, and Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou 310006, China
| | - L Lu
- Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang 110002, China
| | - K J Hu
- Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| | - P Ji
- Department of Oral Implantology, Stomatological Hospital of Chongqing Medical University & Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences & Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing 401147, China
| | - B Xu
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Kunming Medical University, Kunming 650000, China
| | - W Zhang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - J M Liu
- Department of Oral and Maxillofacial Surgery, Capital Medical University School of Stomatology, Beijing 100050, China
| | - Z C Gong
- Oncological Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Z P Ren
- Department of Oral and Maxillofacial Surgery, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - L Tian
- Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| | - H Yuan
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, China
| | - H Zhang
- Department of Anethesiology, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Xi'an 710032, China
| | - J Ma
- Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| | - L Kong
- Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University & State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| |
Collapse
|
249
|
Yuan M, Shen P, Yang C. [Impact of temporomandibular joint arthroscopic discopexy on condylar growth in adolescents: a retrospective cohort study]. Zhonghua Kou Qiang Yi Xue Za Zhi 2021; 56:158-163. [PMID: 33557499 DOI: 10.3760/cma.j.cn112144-20200718-00427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare changes of condylar height, disc length and displaced distance in adolescent temporomandibular joint (TMJ) disc displacement with or without arthroscopic discopexy. Methods: From September 2015 to November 2018, adolescents with magnetic resonance image (MRI) comfirmed disc displacement without reduction (DDwoR) were recruited in operation group (OG) and control group (CG) and were classified into five subgroups according to age (11-14 years, 15-16 years, 17-18 years, 19-20 years and 21-24 years). Changes of condylar height, disc length and displaced distance were measured before and after follow-up MRI. Student's t-test, Welch's t-test, Mann-Whitney U test, Wilcoxon signed-rank test, One-way ANOVA and Kruskal-Wallis test were used; P-value less than 0.05 was considered statistically significant. Results: One hundred and seventy two patients were recruited in the present study. One hundred and twenty six cases patients (183 joints, 17 males, 109 females, mean age 17.4±3.0 years) were in OG and 119 patients (175 joints, 20 male, 99 females, mean age 17.1±3.1) in CG. The mean follow-up time were 8.4 (2.7-22.0) and 9.5 (3.0-22.1) months respectively. Average condylar height changes of OG were significantly greater than CG (1.3±1.8 mm vs -0.6±1.5 mm, P<0.001) and differences were also seen in each age group (P<0.001). In terms of age variations, average increase of condylar height in OG were (2.4±2.2) mm, (1.3±1.7) mm, (1.6±1.7) mm, (0.8±1.9) mm, (0.4±1.1) mm respectively (P<0.001), differences were observed between 11-14 years vs 19-20 years (P<0.05), 11-14 years vs 21-24 years (P<0.01) and 17-18 years vs 21-24 years (P<0.01) subgroups; and average changes in CG were (-0.7±1.6) mm, (-0.4±1.6) mm, (-0.8±1.5) mm, (-0.3±1.4) mm and (-0.9±1.5) mm respectively (P>0.05). After follow-up in CG, further displaced disc was observed (P<0.05) while disc length remained unchanged (P>0.05). Conclusions: DDwoR in adolescents resulted in decreased TMJ condylar height while arthroscopic discopexy restored growth potential and promoted condylar new bone formation which was most prominent during growth period.
Collapse
Affiliation(s)
- M Yuan
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai 200011, China
| | - P Shen
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai 200011, China
| | - C Yang
- Department of Oral Surgery, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai 200011, China
| |
Collapse
|
250
|
Zhu H, Yang C, Li Y, Guo Y, Meng X, Ren Y, Tan L, Zhang R, Wang F. Two-Dimensional Speckle Tracking Echocardiography Identifies Coronary Artery Disease in 690 Patients: A Retrospective Study from a Single Center. Med Sci Monit 2021; 27:e929476. [PMID: 33561114 PMCID: PMC7883402 DOI: 10.12659/msm.929476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Two-dimensional speckle tracking echocardiography (2D-STE) is a novel and non-invasive technique for the diagnosis of coronary artery disease (CAD). This retrospective study from a single center aimed to identify myocardial ischemia using 2D-STE in CAD patients identified by angiography. MATERIAL AND METHODS From March 1 to November 30, 2019, 690 patients in Beijing Hospital were enrolled. After angiography, 346 patients were diagnosed with CAD. Reduction in vessel diameter of ≥50% by stenosis in at least 1 major coronary artery or its main branch was considered CAD. Analysis of 2D-STE was performed using EchoPAC version 201. RESULTS The global strain was significantly impaired in CAD patients (P<0.01). Global longitudinal peak strain (GLPS) was analyzed in layers. For GLPS of the epicardium, the odds ratio (OR) was 1.297 (1.217-1.382; P=0.002), the area under the curve (AUC) was 0.727, and the cut-off value was -16.95; sensitivity and specificity were 73.7% and 63.0%, respectively. For GLPS of the middle layer, the OR was 1.260 (1.192-1.333; P<0.001), the AUC was 0.732, and the cut-off value was -20.95; sensitivity and specificity were 82.4% and 56.2%, respectively. For GLPS of the endocardium, the OR was 1.193 (1.137-1.251; P<0.001), the AUC was 0.708, and the cut-off value was -22.95; sensitivity and specificity were 82.9% and 52.9%, respectively. CONCLUSIONS The findings from this study support the clinical application of 2D-STE in patient populations with suspected myocardial ischemia due to CAD. Therefore, 2D-STE combined with ECG monitoring may have a future role for early screening of CAD patients.
Collapse
Affiliation(s)
- Huolan Zhu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland).,Graduate School, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China (mainland)
| | - Chenguang Yang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland)
| | - Yi Li
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland).,Graduate School, Medical College, Beijing University, Beijing, China (mainland)
| | - Ying Guo
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland)
| | - Xuyang Meng
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland).,Graduate School, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China (mainland)
| | - Yirong Ren
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland).,Graduate School, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China (mainland)
| | - Long Tan
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland).,Graduate School, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China (mainland)
| | - Ruisheng Zhang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland)
| | - Fang Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China (mainland)
| |
Collapse
|