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Park S, Ortega AN, Chen J, Mortensen K, Bustamante AV. Association of food insecurity with health, access to care, affordability of care, financial burden of care, and financial hardships among US adults during the COVID-19 pandemic. Public Health 2024; 230:183-189. [PMID: 38565064 DOI: 10.1016/j.puhe.2024.02.028] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 02/15/2024] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVES To examine the associations between food insecurity and health, access to care, affordability of care, financial burden of care, and financial hardships among US adults during the COVID-19 pandemic and examine whether the associations were less pronounced among adults with safety nets. STUDY DESIGN We conducted a retrospective longitudinal cohort study using the 2020-2021 Medical Expenditure Panel Survey. METHODS Linear probability models were used to assess the associations between food insecurity in one year and the outcomes of interest in the following year while adjusting for baseline characteristics. We performed the analyses for the entire population and then conducted stratified analyses for adults with and without Supplemental Nutrition Assistance Program (SNAP) benefits or Medicaid coverage. RESULTS Compared with food-secure adults, food-insecure adults were 9.1 percentage points less likely to report life satisfaction and 9.9, 10.2, and 13.2 percentage points more likely to experience delays in getting medical care, postpone or forgo medical care because of cost, and struggle with paying medical bills. Food-insecure adults were 30.4, 27.2, and 23.5 percentage points more likely to face challenges in affording necessities, paying utility bills, and meeting rent or mortgage payments on time than food-secure adults. Notably, the strengths of these associations were attenuated among adults with SNAP benefits or Medicaid coverage. CONCLUSIONS Food insecurity was associated with poor health, limited access to and affordability of care, and a greater financial burden of care among US adults during the pandemic. Nevertheless, safety net programs can play a critical role in alleviating adverse consequences.
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Affiliation(s)
- S Park
- Department of Health Policy and Management, College of Health Science, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea; Department of Healthcare Sciences, Graduate School, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea; L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
| | - A N Ortega
- Thompson School of Social Work and Public Health, University of Hawai'i at Manoa, 2430 Campus Rd, Honolulu, HI, 96822, USA.
| | - J Chen
- Department of Health Policy and Management, School of Public Health, University of Maryland, 4200 Valley Dr, College Park, MD, 20742, USA.
| | - K Mortensen
- Department of Health Management and Policy, Hebert Business School, University of Miami, 5250 University Dr, Coral Gables, FL 33146, USA.
| | - A V Bustamante
- Department of Health Policy and Management, Fielding School of Public Health, UCLA, UCLA Latino Policy and Politics Institute, 650 Charles Young Dr. S., Los Angeles, CA, 90095, USA.
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Santiesteban SN, Li S, Abrams D, Alsalmi S, Androic D, Aniol K, Arrington J, Averett T, Ayerbe Gayoso C, Bane J, Barcus S, Barrow J, Beck A, Bellini V, Bhatt H, Bhetuwal D, Biswas D, Camsonne A, Castellanos J, Chen J, Chen JP, Chrisman D, Christy ME, Clarke C, Covrig S, Cruz-Torres R, Day D, Dutta D, Fuchey E, Gal C, Garibaldi F, Gautam TN, Gogami T, Gomez J, Guèye P, Hague TJ, Hansen JO, Hauenstein F, Henry W, Higinbotham DW, Holt RJ, Hyde C, Itabashi K, Kaneta M, Karki A, Katramatou AT, Keppel CE, King PM, Kurbany L, Kutz T, Lashley-Colthirst N, Li WB, Liu H, Liyanage N, Long E, Lovato A, Mammei J, Markowitz P, McClellan RE, Meddi F, Meekins D, Michaels R, Mihovilovič M, Moyer A, Nagao S, Nguyen D, Nycz M, Olson M, Ou L, Owen V, Palatchi C, Pandey B, Papadopoulou A, Park S, Petkovic T, Premathilake S, Punjabi V, Ransome RD, Reimer PE, Reinhold J, Riordan S, Rocco N, Rodriguez VM, Schmidt A, Schmookler B, Segarra EP, Shahinyan A, Širca S, Slifer K, Solvignon P, Su T, Suleiman R, Tang L, Tian Y, Tireman W, Tortorici F, Toyama Y, Uehara K, Urciuoli GM, Votaw D, Williamson J, Wojtsekhowski B, Wood S, Ye ZH, Zhang J, Zheng X. Novel Measurement of the Neutron Magnetic Form Factor from A=3 Mirror Nuclei. Phys Rev Lett 2024; 132:162501. [PMID: 38701469 DOI: 10.1103/physrevlett.132.162501] [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] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 10/05/2023] [Accepted: 02/21/2024] [Indexed: 05/05/2024]
Abstract
The electromagnetic form factors of the proton and neutron encode information on the spatial structure of their charge and magnetization distributions. While measurements of the proton are relatively straightforward, the lack of a free neutron target makes measurements of the neutron's electromagnetic structure more challenging and more sensitive to experimental or model-dependent uncertainties. Various experiments have attempted to extract the neutron form factors from scattering from the neutron in deuterium, with different techniques providing different, and sometimes large, systematic uncertainties. We present results from a novel measurement of the neutron magnetic form factor using quasielastic scattering from the mirror nuclei ^{3}H and ^{3}He, where the nuclear effects are larger than for deuterium but expected to largely cancel in the cross-section ratios. We extracted values of the neutron magnetic form factor for low-to-modest momentum transfer, 0.6
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Affiliation(s)
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - D Abrams
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
- King Saud University, Riyadh 11451, Kingdom of Saudi Arabia
| | - D Androic
- University of Zagreb, Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, California 90032, USA
| | - J Arrington
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - T Averett
- William and Mary, Williamsburg, Virginia 23185, USA
| | | | - J Bane
- University of Tennessee, Knoxville, Tennessee 37966, USA
| | - S Barcus
- William and Mary, Williamsburg, Virginia 23185, USA
| | - J Barrow
- University of Tennessee, Knoxville, Tennessee 37966, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Castellanos
- Florida International University, Miami, Florida 33199, USA
| | - J Chen
- William and Mary, Williamsburg, Virginia 23185, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Chrisman
- Michigan State University, East Lansing, Michigan 48824, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Clarke
- Stony Brook, State University of New York, New York 11794, USA
| | - S Covrig
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Cruz-Torres
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - D Day
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | | | - T N Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - T Gogami
- Tohoku University, Sendai, Japan
| | - J Gomez
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Guèye
- Hampton University, Hampton, Virginia 23669, USA
- Michigan State University, East Lansing, Michigan 48824, USA
| | - T J Hague
- Kent State University, Kent, Ohio 44240, USA
| | - J O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R J Holt
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | | | - M Kaneta
- Tohoku University, Sendai, Japan
| | - A Karki
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | | | - C E Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - L Kurbany
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - T Kutz
- Stony Brook, State University of New York, New York 11794, USA
| | | | - W B Li
- William and Mary, Williamsburg, Virginia 23185, USA
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - E Long
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - A Lovato
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
- Computational Science Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
- INFN-TIFPA Trento Institute for Fundamental Physics and Applications, 38123 Trento, Italy
| | - J Mammei
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - R E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Mihovilovič
- Jožef Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, DE-55128 Mainz, Germany
| | - A Moyer
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - S Nagao
- Tohoku University, Sendai, Japan
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - M Olson
- Saint Norbert College, De Pere, Wisconsin 54115, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - V Owen
- William and Mary, Williamsburg, Virginia 23185, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | | | - S Premathilake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23529, USA
| | - R D Ransome
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - P E Reimer
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Reinhold
- Florida International University, Miami, Florida 33199, USA
| | - S Riordan
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - N Rocco
- Theoretical Physics Department, Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V M Rodriguez
- División de Ciencias y Tecnología, Universidad Ana G. Méndez, Recinto de Cupey, San Juan 00926, Puerto Rico
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - S Širca
- Jožef Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - K Slifer
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - P Solvignon
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - R Suleiman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Tang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Tian
- Syracuse University, Syracuse, New York 13244, USA
| | - W Tireman
- Northern Michigan University, Marquette, Michigan 49855, USA
| | | | - Y Toyama
- Tohoku University, Sendai, Japan
| | - K Uehara
- Tohoku University, Sendai, Japan
| | | | - D Votaw
- Michigan State University, East Lansing, Michigan 48824, USA
| | - J Williamson
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z H Ye
- Argonne National Laboratory, Lemont, Illinois 60439, USA
- Tsinghua University, Beijing, China
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22904, USA
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Park S, Bae S, Kim EO, Chang E, Kim MJ, Chong YP, Choi SH, Lee SO, Kim YS, Jung J, Kim SH. The impact of discontinuing single-room isolation of patients with vancomycin-resistant enterococci: a quasi-experimental single-centre study in South Korea. J Hosp Infect 2024; 147:77-82. [PMID: 38492645 DOI: 10.1016/j.jhin.2024.02.025] [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: 01/26/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/18/2024]
Abstract
OBJECTIVES There is limited data on the effects of discontinuing single-room isolation while maintaining contact precautions, such as the use of gowns and gloves. In April 2021, our hospital ceased single-room isolation for patients with vancomycin-resistant enterococci (VRE) because of single-room unavailability. This study assessed the impact of this policy by examining the incidence of hospital-acquired VRE bloodstream infections (HA-VRE BSI). METHODS This retrospective quasi-experimental study was conducted at a tertiary-care hospital in Seoul, South Korea. Time-series analysis was used to evaluate HA-VRE BSI incidence at the hospital level and in the haematology unit before (phase 1) and after (phase 2) the policy change. RESULTS At the hospital level, HA-VRE BSI incidence level (VRE BSI per 1000 patient-days per month) and trend did not change significantly between phase 1 and phase 2 (coefficient -0.015, 95% confidence interval (CI): -0.053 to 0.023, P=0.45 and 0.000, 95% CI: -0.002 to 0.002, P=0.84, respectively). Similarly, HA-VRE BSI incidence level and trend in the haematology unit (-0.285, 95% CI: -0.618 to 0.048, P=0.09 and -0.018, 95% CI: -0.036 to 0.000, P = 0.054, respectively) did not change significantly across the two phases. CONCLUSIONS Discontinuing single-room isolation of VRE-colonized or infected patients was not associated with an increase in the incidence of VRE BSI at the hospital level or among high-risk patients in the haematology unit. Horizontal intervention for multi-drug-resistant organisms, including measures such as enhanced hand hygiene and environmental cleaning, may be more effective at preventing VRE transmission.
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Affiliation(s)
- S Park
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea
| | - S Bae
- Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - E O Kim
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea
| | - E Chang
- Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - M J Kim
- Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Y P Chong
- Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - S-H Choi
- Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - S-O Lee
- Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Y S Kim
- Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - J Jung
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea; Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
| | - S-H Kim
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea; Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Park S, Goggin K, Morton JM, Hall DA. The effects of tibial tuberosity avulsion and repair on tibial plateau angle in dogs. N Z Vet J 2024; 72:90-95. [PMID: 38228160 DOI: 10.1080/00480169.2023.2291036] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/15/2023] [Indexed: 01/18/2024]
Abstract
AIMS To assess whether tibial tuberosity avulsion injury and subsequent surgical repair in skeletally immature dogs are associated with changes in tibial plateau angle (TPA) at skeletal maturity. METHODS Skeletally mature (> 18 months of age) dogs that had previously undergone unilateral surgery when 4-8 months of age to repair tibial tuberosity avulsion were enrolled. Bilateral, mediolateral stifle radiographs were taken. TPA was measured digitally from the radiographs independently by two readers and compared between sides within dogs. As the number of dogs that would be enrolled for the main part of the study was unknown, to understand how the variation between left and right stifles within dogs would affect the power of the main study, 29 client-owned, skeletally mature dogs without stifle pathology were recruited prior to the main study for bilateral, mediolateral projection stifle radiographs. Variation in the differences in TPA between left and right stifles was used to estimate the likely power of the major part of the study for different numbers of enrolled dogs. RESULTS From 29 dogs enrolled in the power assessment, the SD of the differences between left and right stifles was 2.1°. With 10 dogs (20 stifles) enrolled within the main part of the study, and if the SD of the differences between operated and non-operated stifles within a dog was the same as the SD of the differences between non-operated stifles within a dog (2.1°), the study would have power ≥ 0.8 if the mean difference in TPA between operated and non-operated stifles was ≥ 2.1°.Ten dogs were enrolled in phase II of the study. In 8/10 of these dogs, the TPA in the operated stifle was less than in the non-operated stifle. The mean TPA on the operated stifle was 6.4° less than on the non-operated stifle (95% CI = 2.4-10.3° less; p = 0.002). For surgery between 4 and 8 months of age, TPA at maturity increased by 2.7° (95% CI = 1.1-4.3°; p = 0.001) for each additional month of age at surgery. CONCLUSIONS AND CLINICAL RELEVANCE Based on this study, surgical repair of tibial tuberosity avulsion in skeletally immature dogs is associated with a smaller TPA at skeletal maturity. However, causality cannot be established from this cross-sectional study, and this association may be because stifles with a smaller TPA are predisposed to tibial tuberosity avulsion.
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Affiliation(s)
- S Park
- Advanced Vetcare, Melbourne, Australia
| | - K Goggin
- Advanced Vetcare, Melbourne, Australia
| | - J M Morton
- Jemora Pty. Ltd., East Geelong, Australia
| | - D A Hall
- Advanced Vetcare, Melbourne, Australia
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Park S, Ceulemans E, Van Deun K. A critical assessment of sparse PCA (research): why (one should acknowledge that) weights are not loadings. Behav Res Methods 2024; 56:1413-1432. [PMID: 37540466 PMCID: PMC10991020 DOI: 10.3758/s13428-023-02099-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2023] [Indexed: 08/05/2023]
Abstract
Principal component analysis (PCA) is an important tool for analyzing large collections of variables. It functions both as a pre-processing tool to summarize many variables into components and as a method to reveal structure in data. Different coefficients play a central role in these two uses. One focuses on the weights when the goal is summarization, while one inspects the loadings if the goal is to reveal structure. It is well known that the solutions to the two approaches can be found by singular value decomposition; weights, loadings, and right singular vectors are mathematically equivalent. What is often overlooked, is that they are no longer equivalent in the setting of sparse PCA methods which induce zeros either in the weights or the loadings. The lack of awareness for this difference has led to questionable research practices in sparse PCA. First, in simulation studies data is generated mostly based only on structures with sparse singular vectors or sparse loadings, neglecting the structure with sparse weights. Second, reported results represent local optima as the iterative routines are often initiated with the right singular vectors. In this paper we critically re-assess sparse PCA methods by also including data generating schemes characterized by sparse weights and different initialization strategies. The results show that relying on commonly used data generating models can lead to over-optimistic conclusions. They also highlight the impact of choice between sparse weights versus sparse loadings methods and the initialization strategies. The practical consequences of this choice are illustrated with empirical datasets.
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Affiliation(s)
- S Park
- Tilburg University, Methods and Statistics, Tilburg, The Netherlands.
| | - E Ceulemans
- KU Leuven, Psychology and Educational Sciences, Leuven, Belgium
| | - K Van Deun
- Tilburg University, Methods and Statistics, Tilburg, The Netherlands
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Jang S, Kim C, Park S, Park Y, Park G, Oh S, Choi N, Lim Y, Cho JS, Choi J. Antioxidant Activity of Radish Seed Oil and the Quality and Storage Characteristics of Pork Patties with Added Radish Seed Oil. Food Sci Anim Resour 2024; 44:189-203. [PMID: 38229858 PMCID: PMC10789561 DOI: 10.5851/kosfa.2023.e71] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/18/2023] [Accepted: 10/24/2023] [Indexed: 01/18/2024] Open
Abstract
This study investigated the antioxidant activity of radish seed oil (RSO) and its effects on the quality and storage characteristics of pork patties. To assess the antioxidant capacity of RSO, this study analyzed fatty acid composition, peroxide value (PV), and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity. Pork patties were manufactured with the addition of RSO-0.4%, 0.8%, 1.6%, and 2.4%-and measured in terms of proximate composition, pH, water holding capacity (WHC), cooking loss (CL), color, texture profile analysis, and a sensory evaluation. Total microbial count (TMC), volatile basic nitrogen (VBN), thiobarbituric acid reactive substances (TBARS), and PV were measured at 1, 3, and 7 days of refrigerated storage. The DPPH radical scavenging activity of RSO was found to be 75.46%. In the cases of WHC and CL, there was no significant differences observed between RSO0.4%, RSO0.8%, and positive control (PC; p>0.05). Meanwhile, RSO2.4% showed significantly lower hardness, springiness, gumminess, and chewiness than PC (p<0.05), and these values tended to decrease with the addition of increasing RSO. In terms of storage characteristics, with an increase in the amount of RSO added, TMC, VBN, TBARS, and PV all decreased; among the treatment groups, RSO2.4% showed the lowest values. In conclusion, RSO exhibits antioxidant activity, but when added in large amounts, it negatively affects the quality characteristics of patties while positively impacting their storage properties, thus necessitating a balanced consideration of both outcomes. Therefore, adding 1.6% RSO is considered to be the most appropriate level for formulations to be used in practice.
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Affiliation(s)
- Soyoung Jang
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Chaeri Kim
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Sanghun Park
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Yunhwan Park
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Gyutae Park
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Sehyuk Oh
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Nayoung Choi
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Youngho Lim
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
| | - Ju-Sung Cho
- Department of Horticultural Science,
Chungbuk National University, Cheongju 28644, Korea
| | - Jungseok Choi
- Department of Animal Science, Chungbuk
National University, Cheongju 28644, Korea
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Jung HA, Park S, Lee SH, Ahn JS, Ahn MJ, Sun JM. Dacomitinib in EGFR-mutant non-small-cell lung cancer with brain metastasis: a single-arm, phase II study. ESMO Open 2023; 8:102068. [PMID: 38016250 PMCID: PMC10774959 DOI: 10.1016/j.esmoop.2023.102068] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/26/2023] [Accepted: 10/21/2023] [Indexed: 11/30/2023] Open
Abstract
INTRODUCTION Dacomitinib showed superior progression-free survival (PFS) and overall survival compared to gefitinib in patients with advanced non-small-cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations in the ARCHER1050 study. However, because that study did not include patients with brain metastases, the efficacy of dacomitinib in patients with brain metastases has not been clarified. PATIENTS AND METHODS This single-arm phase II study enrolled 30 patients with treatment-naïve advanced NSCLC harboring activating EGFR mutations from January 2021 to June 2021 and started them on dacomitinib (45 mg/day). All patients had non-irradiated brain metastases with a diameter of ≥5 mm. The primary endpoint was confirmed intracranial objective response rate (iORR). RESULTS Patients had exon 19 deletions (46.7%) and L858R mutations in exon 21 (55.3%). The confirmed iORR was 96.7% (29/30), with an intracranial complete response of 63.3%. Median intracranial PFS (iPFS) was not reached, with 12- and 18-month iPFS rates of 78.6% [95% confidence interval (CI) 64.8% to 95.4%] and 70.4% (95% CI 54.9% to 90.1%), respectively. In the competing risk analysis, the 12-month cumulative incidence of intracranial progression was 16.7%. Regarding the overall efficacy for intracranial and extracranial lesions, the overall ORR was 96.7%, and the median PFS was 17.5 months (95% CI 15.2 months-not reached). Grade 3 or higher treatment-related adverse events were reported in 16.7% of patients, and 83.3% required a reduced dacomitinib dose to manage adverse events. However, none permanently discontinued dacomitinib treatment due to treatment-related adverse events. CONCLUSIONS Dacomitinib has outstanding intracranial efficacy in patients with EGFR-mutant NSCLC with brain metastases.
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Affiliation(s)
- H A Jung
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - S Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - S-H Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - J S Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - M-J Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - J-M Sun
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
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Park S, Ceulemans E, Van Deun K. Logistic regression with sparse common and distinctive covariates. Behav Res Methods 2023; 55:4143-4174. [PMID: 36781701 PMCID: PMC10700465 DOI: 10.3758/s13428-022-02011-2] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2022] [Indexed: 02/15/2023]
Abstract
Having large sets of predictor variables from multiple sources concerning the same individuals is becoming increasingly common in behavioral research. On top of the variable selection problem, predicting a categorical outcome using such data gives rise to an additional challenge of identifying the processes at play underneath the predictors. These processes are of particular interest in the setting of multi-source data because they can either be associated individually with a single data source or jointly with multiple sources. Although many methods have addressed the classification problem in high dimensionality, the additional challenge of distinguishing such underlying predictor processes from multi-source data has not received sufficient attention. To this end, we propose the method of Sparse Common and Distinctive Covariates Logistic Regression (SCD-Cov-logR). The method is a multi-source extension of principal covariates regression that combines with generalized linear modeling framework to allow classification of a categorical outcome. In a simulation study, SCD-Cov-logR resulted in outperformance compared to related methods commonly used in behavioral sciences. We also demonstrate the practical usage of the method under an empirical dataset.
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Affiliation(s)
- S Park
- Tilburg University, Tilburg, Netherlands.
| | | | - K Van Deun
- Tilburg University, Tilburg, Netherlands
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An J, Kim Y, Song M, Choi J, Yun W, Oh H, Chang S, Go Y, Song D, Cho H, Park S, Kim Y, Park Y, Park G, Oh S, Cho J. Effect of loading density and weather conditions on animal welfare and meat quality of slaughter pigs. J Anim Sci Technol 2023; 65:1323-1340. [PMID: 38616884 PMCID: PMC11007295 DOI: 10.5187/jast.2023.e34] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/21/2023] [Accepted: 03/30/2023] [Indexed: 04/16/2024]
Abstract
There are several factors that affect the welfare and meat quality of pigs during pre-slaughter transport. Among various factors, the effects of weather conditions and loading density were studied. A total of 3,726 finishing pigs were allotted to one of nine groups arranged in a 3 × 3 factorial design according to the weather conditions (low temperature [LT], under 10°C; normal temperature [NT], 10°C-24°C; high temperature [HT], upper 24°C), and loading density (low density [LD], upper 0.43 m2/100 kg; normal density [ND], 0.37-0.43 m2/100 kg; high density [HD], under 0.37 m2/100 kg). Each treatment group follow as: LTLD, LTND, LTHD, NTLD, NTND, NTHD, HTLD, HTND, HTHD. In terms of carcass composition, pigs had the highest carcass weight and backfat thickness at LT. Comparing the HD transport to the ND transport, the meat quality indicated a lower pH and more drip loss. The incidence rate of pale, soft, exudative (PSE) pork was high in the order of the HD, LD, and the ND transport (20%, 9%, and 2%, respectively). The HT transport showed the lowest pH and greatest L* value under the given weather conditions. Pigs transported under the HTHD and LTLD conditions had the greatest rates of PSE pork (40% and 20%, respectively). Pigs exposed to HD transport had the shortest laying time and the highest overplap behavior. The LDLT transport pigs had a shorter laying time than the LDNT and LDHT transport pigs. In conclusion, too high or too low density transport is generally not excellent for meat quality or animal welfare, however it is preferable to transport at a slightly low density at high temperature and at a slightly high density at low temperature.
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Affiliation(s)
- Jaewoo An
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Yongju Kim
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Minho Song
- Department of Animal Science and
Biotechnology, Chungnam National University, Daejeon 34134,
Korea
| | - Jungseok Choi
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Won Yun
- Central Research Institute, Woosung Feed
Co., Ltd, Daejeon 34379, Korea
| | - Hanjin Oh
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Seyeon Chang
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Youngbin Go
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Dongcheol Song
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Hyunah Cho
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Sanghun Park
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Yuna Kim
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Yunhwan Park
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Gyutae Park
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Sehyuk Oh
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
| | - Jinho Cho
- Department of Animal Sciences, Chungbuk
National University, Cheongju 28644, Korea
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10
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Aguillard DP, Albahri T, Allspach D, Anisenkov A, Badgley K, Baeßler S, Bailey I, Bailey L, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Bedeschi F, Berz M, Bhattacharya M, Binney HP, Bloom P, Bono J, Bottalico E, Bowcock T, Braun S, Bressler M, Cantatore G, Carey RM, Casey BCK, Cauz D, Chakraborty R, Chapelain A, Chappa S, Charity S, Chen C, Cheng M, Chislett R, Chu Z, Chupp TE, Claessens C, Convery ME, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, Debevec PT, Di Falco S, Di Sciascio G, Drendel B, Driutti A, Duginov VN, Eads M, Edmonds A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Froemming NS, Gabbanini C, Gaines I, Galati MD, Ganguly S, Garcia A, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Goodenough L, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Halewood-Leagas T, Hampai D, Han F, Hempstead J, Hertzog DW, Hesketh G, Hess E, Hibbert A, Hodge Z, Hong KW, Hong R, Hu T, Hu Y, Iacovacci M, Incagli M, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler DS, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kinnaird N, Kraegeloh E, Krylov VA, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lu Z, Lucà A, Lukicov G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Mastroianni S, Miller JP, Miozzi S, Mitra B, Morgan JP, Morse WM, Mott J, Nath A, Ng JK, Nguyen H, Oksuzian Y, Omarov Z, Osofsky R, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Price J, Quinn B, Qureshi MUH, Ramachandran S, Ramberg E, Reimann R, Roberts BL, Rubin DL, Santi L, Schlesier C, Schreckenberger A, Semertzidis YK, Shemyakin D, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Weisskopf A, Welty-Rieger L, Winter P, Wu Y, Yu B, Yucel M, Zeng Y, Zhang C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm. Phys Rev Lett 2023; 131:161802. [PMID: 37925710 DOI: 10.1103/physrevlett.131.161802] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/05/2023] [Indexed: 11/07/2023]
Abstract
We present a new measurement of the positive muon magnetic anomaly, a_{μ}≡(g_{μ}-2)/2, from the Fermilab Muon g-2 Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon decay than in our previous result from 2018 data. The systematic error is reduced by more than a factor of 2 due to better running conditions, a more stable beam, and improved knowledge of the magnetic field weighted by the muon distribution, ω[over ˜]_{p}^{'}, and of the anomalous precession frequency corrected for beam dynamics effects, ω_{a}. From the ratio ω_{a}/ω[over ˜]_{p}^{'}, together with precisely determined external parameters, we determine a_{μ}=116 592 057(25)×10^{-11} (0.21 ppm). Combining this result with our previous result from the 2018 data, we obtain a_{μ}(FNAL)=116 592 055(24)×10^{-11} (0.20 ppm). The new experimental world average is a_{μ}(exp)=116 592 059(22)×10^{-11} (0.19 ppm), which represents a factor of 2 improvement in precision.
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Affiliation(s)
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - L Bailey
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H P Binney
- University of Washington, Seattle, Washington, USA
| | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- University of Liverpool, Liverpool, United Kingdom
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - S Braun
- University of Washington, Seattle, Washington, USA
| | - M Bressler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- Università di Udine, Udine, Italy
| | | | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- University of Liverpool, Liverpool, United Kingdom
| | - C Chen
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - M Cheng
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - C Claessens
- University of Washington, Seattle, Washington, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | | | - J D Crnkovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | | | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Edmonds
- Boston University, Boston, Massachusetts, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | | | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | | | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | | | - I Gaines
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | | | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - L Goodenough
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Argonne National Laboratory, Lemont, Illinois, USA
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - E Hess
- INFN, Sezione di Pisa, Pisa, Italy
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - T Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Y Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D S Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- University of Mississippi, University, Mississippi, USA
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - Z Lu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - B Mitra
- University of Mississippi, University, Mississippi, USA
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Nath
- INFN, Sezione di Napoli, Naples, Italy
| | - J K Ng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Oksuzian
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Z Omarov
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | | | - R N Pilato
- University of Liverpool, Liverpool, United Kingdom
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - M U H Qureshi
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Reimann
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- Università di Udine, Udine, Italy
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Cornell University, Ithaca, New York, USA
- Michigan State University, East Lansing, Michigan, USA
- University of Liverpool, Liverpool, United Kingdom
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | - A E Tewsley-Booth
- University of Kentucky, Lexington, Kentucky, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Michigan State University, East Lansing, Michigan, USA
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
- University of Liverpool, Liverpool, United Kingdom
| | - G Venanzoni
- University of Liverpool, Liverpool, United Kingdom
| | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Y Wu
- Argonne National Laboratory, Lemont, Illinois, USA
| | - B Yu
- University of Mississippi, University, Mississippi, USA
| | - M Yucel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Zeng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - C Zhang
- University of Liverpool, Liverpool, United Kingdom
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Cantalupo P, Diacou A, Park S, Soman V, Chen J, Glenn D, Chandran U, Clark D. Single-cell Transcriptional Analysis of the Cellular Immune Response in the Oral Mucosa of Mice. bioRxiv 2023:2023.10.18.562816. [PMID: 37904993 PMCID: PMC10614882 DOI: 10.1101/2023.10.18.562816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Periodontal health is dependent on a symbiotic relationship of the host immune response with the oral microbiota. Pathologic shifts of the microbial plaque elicit an immune response that eventually leads to the recruitment and activation of osteoclasts and matrix metalloproteinases and the eventual tissue destruction that is evident in periodontal disease. Once the microbial stimulus is removed, an active process of inflammatory resolution begins. The goal of this work was to use scRNAseq to demonstrate the unique cellular immune response across three distinct conditions of periodontal health, disease, and resolution using mouse models. Periodontal disease was induced using a ligature model. Resolution was modeled by removing the ligature and allowing the mouse to recover. Immune cells (Cd45+) were isolated from the periodontium and analyzed via scRNAseq. Gene signature shifts across the three conditions were characterized and shown to be largely driven by macrophage and neutrophils during the periodontal disease and resolution conditions. Resolution of periodontal disease was characterized by the differential regulation of unique gene subsets. Clustering analysis characterized multiple cellular subpopulations within B Cells, macrophages, and neutrophils that demonstrated differential expansion and contraction across conditions of periodontal health, disease, and resolution. Interestingly, we identified a transcriptionally distinct macrophage subpopulation that expanded during the resolution condition and demonstrated an immunoregulatory gene signature. We identified a cell surface marker for this resolution-associated macrophage subgroup (Cd74) and validated the expansion of this subgroup during resolution via flow cytometry. This work presents a robust immune cell atlas for study of the immunological changes in the oral mucosa during three distinct conditions of periodontal health, disease, and resolution and it improves our understanding of the cellular and molecular markers that characterize health from disease for the development of future diagnostics and therapies.
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Voronov DL, Wang T, Park S, Huang L, Gullikson EM, Salmassi F, Austin C, Padmore HA, Idir M. Nanometer flat blazed x-ray gratings using ion beam figure correction. Opt Express 2023; 31:34789-34799. [PMID: 37859227 DOI: 10.1364/oe.501418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 09/13/2023] [Indexed: 10/21/2023]
Abstract
With the development of nanometer accuracy stitching interferometry, ion beam figuring (IBF) of x-ray mirrors can now be achieved with unprecedented performance. However, the process of producing x-ray diffraction gratings on these surfaces may degrade the figure quality due to process errors introduced during the ruling of the grating grooves. To address this challenge, we have investigated the post-production correction of gratings using IBF, where stitching interferometry is used to provide in-process feedback. A concern with ion beam correction in this case is that ions will induce enough surface mobility of atoms to cause smoothing of the grating structure and degradation of diffraction efficiency. In this study we found however that it is possible to achieve a nanometer-level planarity of the global grating surface with IBF, while preserving the grating structure. The preservation was so good, that we could not detect a change in the diffraction efficiency after ion beam correction. This is of major importance in achieving ultra-high spectral resolution, and the preservation of brightness for coherent x-ray beams.
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Russial O, De Los Santos JF, Hockstein N, Park S, Clements L, Desouza-Lawrence L, Raben A. Combined Pulsed Radiotherapy ("QUAD SHOT" regimen) with Immune Checkpoint Inhibition (ICI) to Enhance Immune Response for LAHNSCC in Patients Considered Ineligible for Curative Intent Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e620. [PMID: 37785860 DOI: 10.1016/j.ijrobp.2023.06.2003] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To utilize pulsed QUAD SHOT as an in-situ vaccine by stimulating the tumor microenvironment (TME) and excluding elective nodal sites, to enhance the immune response with concurrent ICI. MATERIALS/METHODS Thirty-three patients (20 males and 13 females), with a median age of 81 years, seen at two community hospitals, determined to be ineligible for curative treatment, were treated. All pts received pulsed dose QUAD shot regimen to gross disease (44.4-59.2 Gy) spaced 3 weeks apart with addition of an approved ICI (Pembrolizumab or Cemiplimab). ERT was directed ONLY to Gross Primary + nodal disease. ICI was administered in most pts after the first QUAD shot to enhance immune response. ICI was continued adjuvantly until a > Grade 3 adverse event (AE) or progression of disease (POD). Pts with either advanced cutaneous or mucosal SCC were included (cSCC, mSCC). 39% presented with N1-2 adenopathy, and 24% presented with recurrent disease. PD-L1 status were not routinely obtained. RESULTS The median number of ICI cycles delivered was 5 (range 2-24). All pts completed at least 3 QUAD shots. Overall LRC for all 33 pts was 69.7%, with a mean follow-up of 11 months (1-39). LRC for 33 pts at 1 and 2 years after the end of radiation were 61.07% and 55.52%, respectively. The percentage of pts free from elective regional recurrences at 1 and 2 years was 87.13% for both cSCC and mSCC groups. Overall, 6 pts (18%) experienced distant failure. Freedom from distant failure at 1 yr after QUAD shot completion by pathology was 100.00% for cSCC and 77.08% for mSCC. DFS for all 33 pts at 1 and 2 yrs were 59.39% and 37.12%, respectively. DFS at 1 year for cSCC was 100% and 53% for mSCC. Median DFS for the mSCC was 13.8 months. Overall survival for all 33 pts was 45.45% with a median OS time of 17.7 months. The 1 and 2 year OS rates were 65% and 33%. Overall toxicity was low and manageable. Gr 3 mucositis occurred in 1 patient and 5 (15%) developed Gr 2 AE's. Gr 3/4 IMAR's were observed in 3 pts and included infusion reaction, colitis, and fatigue/FTT and were discontinued. 4 pts required post QUAD PEG's unrelated to radiation toxicity and due to POD. CONCLUSION In elderly, frail, or comorbidly ill patients with LAHNC, the addition of ICI to involved field QUAD shot regimen nearly tripled the median OS rate from prior publications with QUAD shot alone from 5.7 months to 17 months in our series. The low percentage of failure in the elective nodal beds was particularly encouraging based on our hypothesis. This approach represents the next step in an evolution away from conventional RT approaches that engender greater toxicity and warrants further study.
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Affiliation(s)
- O Russial
- Thomas Jefferson University Hospital, Philadelphia, PA
| | | | | | - S Park
- Christiana Care Health System, Newark, DE
| | - L Clements
- Christiana Care Health System, Newark, DE
| | | | - A Raben
- Christiana Care Health System, Helen F. Graham Cancer Center, Newark, DE
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Kim JY, Park S, Kim EO, Chang E, Bae S, Kim MJ, Chong YP, Choi SH, Lee SO, Kim YS, Jung J, Kim SH. The seasonality of carbapenemase-producing Enterobacterales in South Korea. J Hosp Infect 2023; 140:87-89. [PMID: 37506769 DOI: 10.1016/j.jhin.2023.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023]
Affiliation(s)
- J Y Kim
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea
| | - S Park
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea
| | - E O Kim
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea
| | - E Chang
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea
| | - S Bae
- Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - M J Kim
- Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Y P Chong
- Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - S-H Choi
- Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - S-O Lee
- Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Y S Kim
- Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - J Jung
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea; Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
| | - S-H Kim
- Office for Infection Control, Asan Medical Center, Seoul, Republic of Korea; Departments of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Park S, Park G, Oh S, Park Y, Kim Y, Kim J, Choi J. Investigating proliferation and differentiation capacities of Hanwoo steer myosatellite cells at different passages for developing cell-cultured meat. Sci Rep 2023; 13:15614. [PMID: 37730695 PMCID: PMC10511522 DOI: 10.1038/s41598-023-40800-7] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023] Open
Abstract
The aim of study was to investigate proliferation and differentiation capacities of Hanwoo myosatellite cells for the development of Hanwoo cell cultures. From P1 to P19, the number of live cells decreased and the cell size increased. It was confirmed that the PAX7 mRNA was higher in P3 than P6 and P9 (p < 0.05). The maximum differentiation score was measured from P1 to P12. The maximum differentiation score maintained high from P1 to P10. Immunostaining was performed for both P1 and P10 cells to investigate differentiation characteristics. And there were no significant differences in differentiation characteristics between P1 and P10 cells. MYOG mRNA was low, whereas C-FOS mRNA was high (p < 0.05) in the late passage. Myosin and Tom20 protein also showed low values in the late passage (p < 0.05). In conclusion, our results suggest that it is appropriate to use P1 to P10 for the production of cultured meat using Hanwoo muscle cells. If cell culture meat production is performed without differentiation, the passage range may increase further. These results provide basic essential data required for further development of Hanwoo cell cultures, which could provide a valuable source of protein for human populations in the future.
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Affiliation(s)
- Sanghun Park
- Department of Animal Science, Chungbuk National University, Cheongju, 28644, Korea
| | - Gyutae Park
- Department of Animal Science, Chungbuk National University, Cheongju, 28644, Korea
| | - Sehyuk Oh
- Department of Animal Science, Chungbuk National University, Cheongju, 28644, Korea
| | - Yunhwan Park
- Department of Animal Science, Chungbuk National University, Cheongju, 28644, Korea
| | - Yuna Kim
- Department of Animal Science, Chungbuk National University, Cheongju, 28644, Korea
| | - Jaeyoung Kim
- Department of Animal Science, Chungbuk National University, Cheongju, 28644, Korea
| | - Jungseok Choi
- Department of Animal Science, Chungbuk National University, Cheongju, 28644, Korea.
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Lauwers NL, Van Renterghem K, Osmonov D, Suarez-Sarmiento A, Perito P, Park S, Andrianne R, Ralph D, Mykoniatis I. Analysis of the effects of different surgical approaches on corporotomy localization in inflatable penile implant surgery performed by expert implant surgeons. Int J Impot Res 2023; 35:539-543. [PMID: 35760888 DOI: 10.1038/s41443-022-00593-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 11/08/2022]
Abstract
Inflatable penile prostheses may be a solution for patients with erectile dysfunction. To our knowledge, no data exist regarding the effect of different surgical approaches used during implantation on the site of the corporotomy. The main purpose of this multicentre study was to investigate the influence of different surgical approaches on the corporotomy site.Data were collected from six expert implant surgeons. Surgical notes were searched for the incision site, proximal, distal and total corporal length measurement, total cylinder length, length of rear tip extenders, surgery time, type of implant, and reservoir placement. The association between the proximal/distal corporal length and the recorded covariates was examined using a linear mixed model.A total of 1757 patients who underwent virgin prosthesis implantation were included in the analysis. Analysis of proximal/distal measurements was performed on 1709 patients. The proximal/distal ratio had a mean of 0.8 ± 0.3 in penoscrotal incisions (n = 391), 0.7 ± 0.2 in infrapubic incisions (n = 832) and 0.7 ± 0.2 in subcoronal (n = 486) incisions. We observed no significant differences in proximal/distal measurements between the highest-volume surgeons.We could not draw a firm conclusion about the difference in corporotomy site between different surgical approaches, but we found no significant difference between the highest-volume surgeons using different techniques.
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Affiliation(s)
- N L Lauwers
- University of Leuven, Department of Urology, Leuven, Belgium.
| | - K Van Renterghem
- University of Leuven, Department of Urology, Leuven, Belgium.
- University of Hasselt, Hasselt, Belgium.
- Jessa Hospital, Department of Urology, Hasselt, Belgium.
| | - D Osmonov
- University Medical Center Schleswig-Holstein, Campus Kiel, Department of Urology, Kiel, Germany
| | | | - P Perito
- Perito Urology, Department of Urology, Miami, United States of America
| | - S Park
- Sewum Prosthetic Urology Center of Excellence, Seoul, South Korea
| | - R Andrianne
- Le Centre Hospitalier Universitaire de Liège, Department of Urology, Liege, Belgium
| | - D Ralph
- University College Hospital, Department of Urology, London, United Kingdom
| | - I Mykoniatis
- Aristotle University of Thessaloniki, Department of Urology, Thessaloniki, Greece
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Loong HH, Shimizu T, Prawira A, Tan AC, Tran B, Day D, Tan DSP, Ting FIL, Chiu JW, Hui M, Wilson MK, Prasongsook N, Koyama T, Reungwetwattana T, Tan TJ, Heong V, Voon PJ, Park S, Tan IB, Chan SL, Tan DSW. Recommendations for the use of next-generation sequencing in patients with metastatic cancer in the Asia-Pacific region: a report from the APODDC working group. ESMO Open 2023; 8:101586. [PMID: 37356359 PMCID: PMC10319859 DOI: 10.1016/j.esmoop.2023.101586] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 12/10/2022] [Revised: 03/27/2023] [Accepted: 05/18/2023] [Indexed: 06/27/2023] Open
Abstract
INTRODUCTION Next-generation sequencing (NGS) diagnostics have shown clinical utility in predicting survival benefits in patients with certain cancer types who are undergoing targeted drug therapies. Currently, there are no guidelines or recommendations for the use of NGS in patients with metastatic cancer from an Asian perspective. In this article, we present the Asia-Pacific Oncology Drug Development Consortium (APODDC) recommendations for the clinical use of NGS in metastatic cancers. METHODS The APODDC set up a group of experts in the field of clinical cancer genomics to (i) understand the current NGS landscape for metastatic cancers in the Asia-Pacific (APAC) region; (ii) discuss key challenges in the adoption of NGS testing in clinical practice; and (iii) adapt/modify the European Society for Medical Oncology guidelines for local use. Nine cancer types [breast cancer (BC), gastric cancer (GC), nasopharyngeal cancer (NPC), ovarian cancer (OC), prostate cancer, lung cancer, and colorectal cancer (CRC) as well as cholangiocarcinoma and hepatocellular carcinoma (HCC)] were identified, and the applicability of NGS was evaluated in daily practice and/or clinical research. Asian ethnicity, accessibility of NGS testing, reimbursement, and socioeconomic and local practice characteristics were taken into consideration. RESULTS The APODDC recommends NGS testing in metastatic non-small-cell lung cancer (NSCLC). Routine NGS testing is not recommended in metastatic BC, GC, and NPC as well as cholangiocarcinoma and HCC. The group suggested that patients with epithelial OC may be offered germline and/or somatic genetic testing for BReast CAncer gene 1 (BRCA1), BRCA2, and other OC susceptibility genes. Access to poly (ADP-ribose) polymerase inhibitors is required for NGS to be of clinical utility in prostate cancer. Allele-specific PCR or a small-panel multiplex-gene NGS was suggested to identify key alterations in CRC. CONCLUSION This document offers practical guidance on the clinical utility of NGS in specific cancer indications from an Asian perspective.
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Affiliation(s)
- H H Loong
- Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong, China
| | - T Shimizu
- Department of Pulmonary Medicine and Medical Oncology, Wakayama Medical University Graduate School of Medicine, Wakayama, Japan
| | - A Prawira
- Cancer Trials and Research Unit, Prince of Wales Hospital, Sydney, Australia
| | - A C Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - B Tran
- Department of Oncology, Peter MacCallum Cancer Centre, Melbourne
| | - D Day
- Department of Oncology, Monash Health and Monash University, Australia
| | - D S P Tan
- Department of Haematology-Oncology, National University Cancer Institute, Singapore
| | - F I L Ting
- Department of Medicine, Dr. Pablo O. Torre Memorial Hospital, Bacolod, Philippines
| | - J W Chiu
- Department of Medicine, The University of Hong Kong, HKSAR, Pok Fu Lam, Hong Kong, China
| | - M Hui
- Department of Medical Oncology, Chris O'Brien Lifehouse, Camperdown, Australia
| | - M K Wilson
- Department of Medical Oncology, Auckland City Hospital, Auckland, New Zealand
| | - N Prasongsook
- Division of Medical Oncology, Phramongkutklao Hospital, Bangkok, Thailand
| | - T Koyama
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, Japan
| | - T Reungwetwattana
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - T J Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - V Heong
- Department Medical Oncology, Tan Tock Seng Hospital, Singapore
| | - P J Voon
- Radiotherapy and Oncology Department, Hospital Umum Sarawak, Kuching, Malaysia
| | - S Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - I B Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - S L Chan
- Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong, China
| | - D S W Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
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18
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Abdulameer NJ, Acharya U, Adare A, Aidala C, Ajitanand NN, Akiba Y, Akimoto R, Alfred M, Apadula N, Aramaki Y, Asano H, Atomssa ET, Awes TC, Azmoun B, Babintsev V, Bai M, Bandara NS, Bannier B, Barish KN, Bathe S, Bazilevsky A, Beaumier M, Beckman S, Belmont R, Berdnikov A, Berdnikov Y, Bichon L, Black D, Blankenship B, Bok JS, Borisov V, Boyle K, Brooks ML, Bryslawskyj J, Buesching H, Bumazhnov V, Campbell S, Canoa Roman V, Chen CH, Chiu M, Chi CY, Choi IJ, Choi JB, Chujo T, Citron Z, Connors M, Corliss R, Corrales Morales Y, Csanád M, Csörgő T, Datta A, Daugherity MS, David G, Dean CT, DeBlasio K, Dehmelt K, Denisov A, Deshpande A, Desmond EJ, Ding L, Dion A, Doomra V, Do JH, Drees A, Drees KA, Durham JM, Durum A, En'yo H, Enokizono A, Esha R, Fadem B, Fan W, Feege N, Fields DE, Finger M, Finger M, Firak D, Fitzgerald D, Fokin SL, Frantz JE, Franz A, Frawley AD, Gallus P, Gal C, Garg P, Ge H, Giles M, Giordano F, Glenn A, Goto Y, Grau N, Greene SV, Grosse Perdekamp M, Gunji T, Guragain H, Gu Y, Hachiya T, Haggerty JS, Hahn KI, Hamagaki H, Hanks J, Han SY, Harvey M, Hasegawa S, Hemmick TK, He X, Hill JC, Hodges A, Hollis RS, Homma K, Hong B, Hoshino T, Huang J, Ikeda Y, Imai K, Imazu Y, Inaba M, Iordanova A, Isenhower D, Ivanishchev D, Jacak BV, Jeon SJ, Jezghani M, Jiang X, Ji Z, Johnson BM, Joo E, Joo KS, Jouan D, Jumper DS, Kang JH, Kang JS, Kawall D, Kazantsev AV, Key JA, Khachatryan V, Khanzadeev A, Khatiwada A, Kihara K, Kim C, Kim DH, Kim DJ, Kim EJ, Kim HJ, Kim M, Kim T, Kim YK, Kincses D, Kingan A, Kistenev E, Klatsky J, Kleinjan D, Kline P, Koblesky T, Kofarago M, Koster J, Kotov D, Kovacs L, Kurgyis B, Kurita K, Kurosawa M, Kwon Y, Lajoie JG, Larionova D, Lebedev A, Lee KB, Lee SH, Leitch MJ, Leitgab M, Lewis NA, Lim SH, Liu MX, Li X, Loomis DA, Lynch D, Lökös S, Majoros T, Makdisi YI, Makek M, Manion A, Manko VI, Mannel E, McCumber M, McGaughey PL, McGlinchey D, McKinney C, Meles A, Mendoza M, Meredith B, Miake Y, Mignerey AC, Miller AJ, Milov A, Mishra DK, Mitchell JT, Mitrankova M, Mitrankov I, Miyasaka S, Mizuno S, Mondal MM, Montuenga P, Moon T, Morrison DP, Moukhanova TV, Muhammad A, Mulilo B, Murakami T, Murata J, Mwai A, Nagamiya S, Nagle JL, Nagy MI, Nakagawa I, Nakagomi H, Nakano K, Nattrass C, Nelson S, Netrakanti PK, Nihashi M, Niida T, Nouicer R, Novitzky N, Nukazuka G, Nyanin AS, O'Brien E, Ogilvie CA, Oh J, Orjuela Koop JD, Orosz M, Osborn JD, Oskarsson A, Ozawa K, Pak R, Pantuev V, Papavassiliou V, Park JS, Park S, Patel L, Patel M, Pate SF, Peng JC, Peng W, Perepelitsa DV, Perera GDN, Peressounko DY, PerezLara CE, Perry J, Petti R, Pinkenburg C, Pinson R, Pisani RP, Potekhin M, Pun A, Purschke ML, Radzevich PV, Rak J, Ramasubramanian N, Ravinovich I, Read KF, Reynolds D, Riabov V, Riabov Y, Richford D, Riveli N, Roach D, Rolnick SD, Rosati M, Rowan Z, Rubin JG, Runchey J, Saito N, Sakaguchi T, Sako H, Samsonov V, Sarsour M, Sato S, Sawada S, Schaefer B, Schmoll BK, Sedgwick K, Seele J, Seidl R, Sen A, Seto R, Sett P, Sexton A, Sharma D, Shein I, Shibata M, Shibata TA, Shigaki K, Shimomura M, Shi Z, Shukla P, Sickles A, Silva CL, Silvermyr D, Singh BK, Singh CP, Singh V, Slunečka M, Smith KL, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Stankus PW, Stepanov M, Stoll SP, Sugitate T, Sukhanov A, Sumita T, Sun J, Sun Z, Sziklai J, Takahama R, Takahara A, Taketani A, Tanida K, Tannenbaum MJ, Tarafdar S, Taranenko A, Timilsina A, Todoroki T, Tomášek M, Torii H, Towell M, Towell R, Towell RS, Tserruya I, Ueda Y, Ujvari B, van Hecke HW, Vargyas M, Velkovska J, Virius M, Vrba V, Vznuzdaev E, Wang XR, Wang Z, Watanabe D, Watanabe Y, Watanabe YS, Wei F, Whitaker S, Wolin S, Wong CP, Woody CL, Wysocki M, Xia B, Xue L, Yalcin S, Yamaguchi YL, Yanovich A, Yoon I, Younus I, Yushmanov IE, Zajc WA, Zelenski A, Zou L. Measurement of Direct-Photon Cross Section and Double-Helicity Asymmetry at sqrt[s]=510 GeV in p[over →]+p[over →] Collisions. Phys Rev Lett 2023; 130:251901. [PMID: 37418716 DOI: 10.1103/physrevlett.130.251901] [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] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 11/04/2022] [Accepted: 04/28/2023] [Indexed: 07/09/2023]
Abstract
We present measurements of the cross section and double-helicity asymmetry A_{LL} of direct-photon production in p[over →]+p[over →] collisions at sqrt[s]=510 GeV. The measurements have been performed at midrapidity (|η|<0.25) with the PHENIX detector at the Relativistic Heavy Ion Collider. At relativistic energies, direct photons are dominantly produced from the initial quark-gluon hard scattering and do not interact via the strong force at leading order. Therefore, at sqrt[s]=510 GeV, where leading-order-effects dominate, these measurements provide clean and direct access to the gluon helicity in the polarized proton in the gluon-momentum-fraction range 0.02<x<0.08, with direct sensitivity to the sign of the gluon contribution.
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Affiliation(s)
- N J Abdulameer
- Debrecen University, H-4010 Debrecen, Egyetem tér 1, Hungary
| | - U Acharya
- Georgia State University, Atlanta, Georgia 30303, USA
| | - A Adare
- University of Colorado, Boulder, Colorado 80309, USA
| | - C Aidala
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
| | - N N Ajitanand
- Chemistry Department, Stony Brook University, SUNY, Stony Brook, New York 11794-3400, USA
| | - Y Akiba
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - R Akimoto
- Center for Nuclear Study, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
| | - M Alfred
- Department of Physics and Astronomy, Howard University, Washington, D.C. 20059, USA
| | - N Apadula
- Iowa State University, Ames, Iowa 50011, USA
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - Y Aramaki
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - H Asano
- Kyoto University, Kyoto 606-8502, Japan
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - E T Atomssa
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - T C Awes
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - B Azmoun
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - V Babintsev
- IHEP Protvino, State Research Center of Russian Federation, Institute for High Energy Physics, Protvino 142281, Russia
| | - M Bai
- Collider-Accelerator Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - N S Bandara
- Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003-9337, USA
| | - B Bannier
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - K N Barish
- University of California-Riverside, Riverside, California 92521, USA
| | - S Bathe
- Baruch College, City University of New York, New York, New York 10010, USA
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - A Bazilevsky
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M Beaumier
- University of California-Riverside, Riverside, California 92521, USA
| | - S Beckman
- University of Colorado, Boulder, Colorado 80309, USA
| | - R Belmont
- University of Colorado, Boulder, Colorado 80309, USA
- Physics and Astronomy Department, University of North Carolina at Greensboro, Greensboro, North Carolina 27412, USA
| | - A Berdnikov
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - Y Berdnikov
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - L Bichon
- Vanderbilt University, Nashville, Tennessee 37235, USA
| | - D Black
- University of California-Riverside, Riverside, California 92521, USA
| | - B Blankenship
- Vanderbilt University, Nashville, Tennessee 37235, USA
| | - J S Bok
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - V Borisov
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - K Boyle
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M L Brooks
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Bryslawskyj
- Baruch College, City University of New York, New York, New York 10010, USA
- University of California-Riverside, Riverside, California 92521, USA
| | - H Buesching
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - V Bumazhnov
- IHEP Protvino, State Research Center of Russian Federation, Institute for High Energy Physics, Protvino 142281, Russia
| | - S Campbell
- Columbia University, New York, New York 10027 and Nevis Laboratories, Irvington, New York 10533, USA
- Iowa State University, Ames, Iowa 50011, USA
| | - V Canoa Roman
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - C-H Chen
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M Chiu
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - C Y Chi
- Columbia University, New York, New York 10027 and Nevis Laboratories, Irvington, New York 10533, USA
| | - I J Choi
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - J B Choi
- Jeonbuk National University, Jeonju, 54896, Korea
| | - T Chujo
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - Z Citron
- Weizmann Institute, Rehovot 76100, Israel
| | - M Connors
- Georgia State University, Atlanta, Georgia 30303, USA
| | - R Corliss
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | | | - M Csanád
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
| | - T Csörgő
- MATE, Laboratory of Femtoscopy, Károly Róbert Campus, H-3200 Gyöngyös, Mátraiút 36, Hungary
- Institute for Particle and Nuclear Physics, Wigner Research Centre for Physics, Hungarian Academy of Sciences (Wigner RCP, RMKI) H-1525 Budapest 114, P.O. Box 49, Budapest, Hungary
| | - A Datta
- University of New Mexico, Albuquerque, New Mexico 87131, USA
| | | | - G David
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - C T Dean
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - K DeBlasio
- University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - K Dehmelt
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - A Denisov
- IHEP Protvino, State Research Center of Russian Federation, Institute for High Energy Physics, Protvino 142281, Russia
| | - A Deshpande
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - E J Desmond
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - L Ding
- Iowa State University, Ames, Iowa 50011, USA
| | - A Dion
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - V Doomra
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - J H Do
- Yonsei University, IPAP, Seoul 120-749, Korea
| | - A Drees
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - K A Drees
- Collider-Accelerator Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - J M Durham
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - A Durum
- IHEP Protvino, State Research Center of Russian Federation, Institute for High Energy Physics, Protvino 142281, Russia
| | - H En'yo
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - A Enokizono
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Physics Department, Rikkyo University, 3-34-1 Nishi-Ikebukuro, Toshima, Tokyo 171-8501, Japan
| | - R Esha
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - B Fadem
- Muhlenberg College, Allentown, Pennsylvania 18104-5586, USA
| | - W Fan
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - N Feege
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - D E Fields
- University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - M Finger
- Charles University, Faculty of Mathematics and Physics, 180 00 Troja, Prague, Czech Republic
| | - M Finger
- Charles University, Faculty of Mathematics and Physics, 180 00 Troja, Prague, Czech Republic
| | - D Firak
- Debrecen University, H-4010 Debrecen, Egyetem tér 1, Hungary
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - D Fitzgerald
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
| | - S L Fokin
- National Research Center "Kurchatov Institute," Moscow 123098, Russia
| | - J E Frantz
- Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
| | - A Franz
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - A D Frawley
- Florida State University, Tallahassee, Florida 32306, USA
| | - P Gallus
- Czech Technical University, Zikova 4, 166 36 Prague 6, Czech Republic
| | - C Gal
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - P Garg
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - H Ge
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - M Giles
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - F Giordano
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - A Glenn
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - Y Goto
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - N Grau
- Department of Physics, Augustana University, Sioux Falls, South Dakota 57197, USA
| | - S V Greene
- Vanderbilt University, Nashville, Tennessee 37235, USA
| | | | - T Gunji
- Center for Nuclear Study, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
| | - H Guragain
- Georgia State University, Atlanta, Georgia 30303, USA
| | - Y Gu
- Chemistry Department, Stony Brook University, SUNY, Stony Brook, New York 11794-3400, USA
| | - T Hachiya
- Nara Women's University, Kita-uoya Nishi-machi Nara 630-8506, Japan
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - J S Haggerty
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - K I Hahn
- Ewha Womans University, Seoul 120-750, Korea
| | - H Hamagaki
- Center for Nuclear Study, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
| | - J Hanks
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - S Y Han
- Ewha Womans University, Seoul 120-750, Korea
- Korea University, Seoul 02841, Korea
| | - M Harvey
- Texas Southern University, Houston, Texas 77004, USA
| | - S Hasegawa
- Advanced Science Research Center, Japan Atomic Energy Agency, 2-4 Shirakata Shirane, Tokai-mura, Naka-gun, Ibaraki-ken 319-1195, Japan
| | - T K Hemmick
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - X He
- Georgia State University, Atlanta, Georgia 30303, USA
| | - J C Hill
- Iowa State University, Ames, Iowa 50011, USA
| | - A Hodges
- Georgia State University, Atlanta, Georgia 30303, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - R S Hollis
- University of California-Riverside, Riverside, California 92521, USA
| | - K Homma
- Hiroshima University, Kagamiyama, Higashi-Hiroshima 739-8526, Japan
| | - B Hong
- Korea University, Seoul 02841, Korea
| | - T Hoshino
- Hiroshima University, Kagamiyama, Higashi-Hiroshima 739-8526, Japan
| | - J Huang
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - Y Ikeda
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - K Imai
- Advanced Science Research Center, Japan Atomic Energy Agency, 2-4 Shirakata Shirane, Tokai-mura, Naka-gun, Ibaraki-ken 319-1195, Japan
| | - Y Imazu
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - M Inaba
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - A Iordanova
- University of California-Riverside, Riverside, California 92521, USA
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699, USA
| | - D Ivanishchev
- PNPI, Petersburg Nuclear Physics Institute, Gatchina, Leningrad region 188300, Russia
| | - B V Jacak
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - S J Jeon
- Myongji University, Yongin, Kyonggido 449-728, Korea
| | - M Jezghani
- Georgia State University, Atlanta, Georgia 30303, USA
| | - X Jiang
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - Z Ji
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - B M Johnson
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- Georgia State University, Atlanta, Georgia 30303, USA
| | - E Joo
- Korea University, Seoul 02841, Korea
| | - K S Joo
- Myongji University, Yongin, Kyonggido 449-728, Korea
| | - D Jouan
- IPN-Orsay, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, BP1, F-91406 Orsay, France
| | - D S Jumper
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - J H Kang
- Yonsei University, IPAP, Seoul 120-749, Korea
| | - J S Kang
- Hanyang University, Seoul 133-792, Korea
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003-9337, USA
| | - A V Kazantsev
- National Research Center "Kurchatov Institute," Moscow 123098, Russia
| | - J A Key
- University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - V Khachatryan
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - A Khanzadeev
- PNPI, Petersburg Nuclear Physics Institute, Gatchina, Leningrad region 188300, Russia
| | - A Khatiwada
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - K Kihara
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - C Kim
- Korea University, Seoul 02841, Korea
| | - D H Kim
- Ewha Womans University, Seoul 120-750, Korea
| | - D J Kim
- Helsinki Institute of Physics and University of Jyväskylä, P.O.Box 35, FI-40014 Jyväskylä, Finland
| | - E-J Kim
- Jeonbuk National University, Jeonju, 54896, Korea
| | - H-J Kim
- Yonsei University, IPAP, Seoul 120-749, Korea
| | - M Kim
- Department of Physics and Astronomy, Seoul National University, Seoul 151-742, Korea
| | - T Kim
- Ewha Womans University, Seoul 120-750, Korea
| | - Y K Kim
- Hanyang University, Seoul 133-792, Korea
| | - D Kincses
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
| | - A Kingan
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - E Kistenev
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - J Klatsky
- Florida State University, Tallahassee, Florida 32306, USA
| | - D Kleinjan
- University of California-Riverside, Riverside, California 92521, USA
| | - P Kline
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - T Koblesky
- University of Colorado, Boulder, Colorado 80309, USA
| | - M Kofarago
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
- Institute for Particle and Nuclear Physics, Wigner Research Centre for Physics, Hungarian Academy of Sciences (Wigner RCP, RMKI) H-1525 Budapest 114, P.O. Box 49, Budapest, Hungary
| | - J Koster
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - D Kotov
- PNPI, Petersburg Nuclear Physics Institute, Gatchina, Leningrad region 188300, Russia
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - L Kovacs
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
| | - B Kurgyis
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
| | - K Kurita
- Physics Department, Rikkyo University, 3-34-1 Nishi-Ikebukuro, Toshima, Tokyo 171-8501, Japan
| | - M Kurosawa
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - Y Kwon
- Yonsei University, IPAP, Seoul 120-749, Korea
| | - J G Lajoie
- Iowa State University, Ames, Iowa 50011, USA
| | - D Larionova
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - A Lebedev
- Iowa State University, Ames, Iowa 50011, USA
| | - K B Lee
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - S H Lee
- Iowa State University, Ames, Iowa 50011, USA
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - M J Leitch
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - M Leitgab
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - N A Lewis
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
| | - S H Lim
- Pusan National University, Pusan 46241, Korea
- Yonsei University, IPAP, Seoul 120-749, Korea
| | - M X Liu
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - X Li
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D A Loomis
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
| | - D Lynch
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - S Lökös
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
| | - T Majoros
- Debrecen University, H-4010 Debrecen, Egyetem tér 1, Hungary
| | - Y I Makdisi
- Collider-Accelerator Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M Makek
- Weizmann Institute, Rehovot 76100, Israel
- Department of Physics, Faculty of Science, University of Zagreb, Bijenička c. 32 HR-10002 Zagreb, Croatia
| | - A Manion
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - V I Manko
- National Research Center "Kurchatov Institute," Moscow 123098, Russia
| | - E Mannel
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M McCumber
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - P L McGaughey
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D McGlinchey
- University of Colorado, Boulder, Colorado 80309, USA
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C McKinney
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - A Meles
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - M Mendoza
- University of California-Riverside, Riverside, California 92521, USA
| | - B Meredith
- Columbia University, New York, New York 10027 and Nevis Laboratories, Irvington, New York 10533, USA
| | - Y Miake
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - A C Mignerey
- University of Maryland, College Park, Maryland 20742, USA
| | - A J Miller
- Abilene Christian University, Abilene, Texas 79699, USA
| | - A Milov
- Weizmann Institute, Rehovot 76100, Israel
| | - D K Mishra
- Bhabha Atomic Research Centre, Bombay 400 085, India
| | - J T Mitchell
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M Mitrankova
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - Iu Mitrankov
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - S Miyasaka
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Department of Physics, Tokyo Institute of Technology, Oh-okayama, Meguro, Tokyo 152-8551, Japan
| | - S Mizuno
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - M M Mondal
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - P Montuenga
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - T Moon
- Korea University, Seoul 02841, Korea
- Yonsei University, IPAP, Seoul 120-749, Korea
| | - D P Morrison
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - T V Moukhanova
- National Research Center "Kurchatov Institute," Moscow 123098, Russia
| | - A Muhammad
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - B Mulilo
- Korea University, Seoul 02841, Korea
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Department of Physics, School of Natural Sciences, University of Zambia, Great East Road Campus, Box 32379 Lusaka, Zambia
| | - T Murakami
- Kyoto University, Kyoto 606-8502, Japan
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - J Murata
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Physics Department, Rikkyo University, 3-34-1 Nishi-Ikebukuro, Toshima, Tokyo 171-8501, Japan
| | - A Mwai
- Chemistry Department, Stony Brook University, SUNY, Stony Brook, New York 11794-3400, USA
| | - S Nagamiya
- KEK, High Energy Accelerator Research Organization, Tsukuba, Ibaraki 305-0801, Japan
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - J L Nagle
- University of Colorado, Boulder, Colorado 80309, USA
| | - M I Nagy
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
| | - I Nakagawa
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - H Nakagomi
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - K Nakano
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Department of Physics, Tokyo Institute of Technology, Oh-okayama, Meguro, Tokyo 152-8551, Japan
| | - C Nattrass
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Nelson
- Florida A&M University, Tallahassee, Florida 32307, USA
| | | | - M Nihashi
- Hiroshima University, Kagamiyama, Higashi-Hiroshima 739-8526, Japan
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - T Niida
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - R Nouicer
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - N Novitzky
- Helsinki Institute of Physics and University of Jyväskylä, P.O.Box 35, FI-40014 Jyväskylä, Finland
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - G Nukazuka
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - A S Nyanin
- National Research Center "Kurchatov Institute," Moscow 123098, Russia
| | - E O'Brien
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - C A Ogilvie
- Iowa State University, Ames, Iowa 50011, USA
| | - J Oh
- Pusan National University, Pusan 46241, Korea
| | | | - M Orosz
- Debrecen University, H-4010 Debrecen, Egyetem tér 1, Hungary
| | - J D Osborn
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - A Oskarsson
- Department of Physics, Lund University, Box 118, SE-221 00 Lund, Sweden
| | - K Ozawa
- KEK, High Energy Accelerator Research Organization, Tsukuba, Ibaraki 305-0801, Japan
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - R Pak
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - V Pantuev
- Institute for Nuclear Research of the Russian Academy of Sciences, prospekt 60-letiya Oktyabrya 7a, Moscow 117312, Russia
| | - V Papavassiliou
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - J S Park
- Department of Physics and Astronomy, Seoul National University, Seoul 151-742, Korea
| | - S Park
- Mississippi State University, Mississippi State, Mississippi 39762, USA
- Department of Physics and Astronomy, Seoul National University, Seoul 151-742, Korea
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - L Patel
- Georgia State University, Atlanta, Georgia 30303, USA
| | - M Patel
- Iowa State University, Ames, Iowa 50011, USA
| | - S F Pate
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - J-C Peng
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - W Peng
- Vanderbilt University, Nashville, Tennessee 37235, USA
| | - D V Perepelitsa
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- University of Colorado, Boulder, Colorado 80309, USA
- Columbia University, New York, New York 10027 and Nevis Laboratories, Irvington, New York 10533, USA
| | - G D N Perera
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - D Yu Peressounko
- National Research Center "Kurchatov Institute," Moscow 123098, Russia
| | - C E PerezLara
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - J Perry
- Iowa State University, Ames, Iowa 50011, USA
| | - R Petti
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - C Pinkenburg
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - R Pinson
- Abilene Christian University, Abilene, Texas 79699, USA
| | - R P Pisani
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M Potekhin
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - A Pun
- Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
| | - M L Purschke
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - P V Radzevich
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - J Rak
- Helsinki Institute of Physics and University of Jyväskylä, P.O.Box 35, FI-40014 Jyväskylä, Finland
| | - N Ramasubramanian
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | | | - K F Read
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - D Reynolds
- Chemistry Department, Stony Brook University, SUNY, Stony Brook, New York 11794-3400, USA
| | - V Riabov
- National Research Nuclear University, MEPhI, Moscow Engineering Physics Institute, Moscow 115409, Russia
- PNPI, Petersburg Nuclear Physics Institute, Gatchina, Leningrad region 188300, Russia
| | - Y Riabov
- PNPI, Petersburg Nuclear Physics Institute, Gatchina, Leningrad region 188300, Russia
- Saint Petersburg State Polytechnic University, St. Petersburg 195251 Russia
| | - D Richford
- Baruch College, City University of New York, New York, New York 10010, USA
| | - N Riveli
- Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
| | - D Roach
- Vanderbilt University, Nashville, Tennessee 37235, USA
| | - S D Rolnick
- University of California-Riverside, Riverside, California 92521, USA
| | - M Rosati
- Iowa State University, Ames, Iowa 50011, USA
| | - Z Rowan
- Baruch College, City University of New York, New York, New York 10010, USA
| | - J G Rubin
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA
| | - J Runchey
- Iowa State University, Ames, Iowa 50011, USA
| | - N Saito
- KEK, High Energy Accelerator Research Organization, Tsukuba, Ibaraki 305-0801, Japan
| | - T Sakaguchi
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - H Sako
- Advanced Science Research Center, Japan Atomic Energy Agency, 2-4 Shirakata Shirane, Tokai-mura, Naka-gun, Ibaraki-ken 319-1195, Japan
| | - V Samsonov
- National Research Nuclear University, MEPhI, Moscow Engineering Physics Institute, Moscow 115409, Russia
- PNPI, Petersburg Nuclear Physics Institute, Gatchina, Leningrad region 188300, Russia
| | - M Sarsour
- Georgia State University, Atlanta, Georgia 30303, USA
| | - S Sato
- Advanced Science Research Center, Japan Atomic Energy Agency, 2-4 Shirakata Shirane, Tokai-mura, Naka-gun, Ibaraki-ken 319-1195, Japan
| | - S Sawada
- KEK, High Energy Accelerator Research Organization, Tsukuba, Ibaraki 305-0801, Japan
| | - B Schaefer
- Vanderbilt University, Nashville, Tennessee 37235, USA
| | - B K Schmoll
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K Sedgwick
- University of California-Riverside, Riverside, California 92521, USA
| | - J Seele
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - R Seidl
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - A Sen
- Iowa State University, Ames, Iowa 50011, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - R Seto
- University of California-Riverside, Riverside, California 92521, USA
| | - P Sett
- Bhabha Atomic Research Centre, Bombay 400 085, India
| | - A Sexton
- University of Maryland, College Park, Maryland 20742, USA
| | - D Sharma
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - I Shein
- IHEP Protvino, State Research Center of Russian Federation, Institute for High Energy Physics, Protvino 142281, Russia
| | - M Shibata
- Nara Women's University, Kita-uoya Nishi-machi Nara 630-8506, Japan
| | - T-A Shibata
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- Department of Physics, Tokyo Institute of Technology, Oh-okayama, Meguro, Tokyo 152-8551, Japan
| | - K Shigaki
- Hiroshima University, Kagamiyama, Higashi-Hiroshima 739-8526, Japan
| | - M Shimomura
- Iowa State University, Ames, Iowa 50011, USA
- Nara Women's University, Kita-uoya Nishi-machi Nara 630-8506, Japan
| | - Z Shi
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - P Shukla
- Bhabha Atomic Research Centre, Bombay 400 085, India
| | - A Sickles
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - C L Silva
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D Silvermyr
- Department of Physics, Lund University, Box 118, SE-221 00 Lund, Sweden
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - B K Singh
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - C P Singh
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - V Singh
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - M Slunečka
- Charles University, Faculty of Mathematics and Physics, 180 00 Troja, Prague, Czech Republic
| | - K L Smith
- Florida State University, Tallahassee, Florida 32306, USA
| | - R A Soltz
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - W E Sondheim
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - S P Sorensen
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - I V Sourikova
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - P W Stankus
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - M Stepanov
- Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003-9337, USA
| | - S P Stoll
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - T Sugitate
- Hiroshima University, Kagamiyama, Higashi-Hiroshima 739-8526, Japan
| | - A Sukhanov
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - T Sumita
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
| | - J Sun
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - Z Sun
- Debrecen University, H-4010 Debrecen, Egyetem tér 1, Hungary
| | - J Sziklai
- Institute for Particle and Nuclear Physics, Wigner Research Centre for Physics, Hungarian Academy of Sciences (Wigner RCP, RMKI) H-1525 Budapest 114, P.O. Box 49, Budapest, Hungary
| | - R Takahama
- Nara Women's University, Kita-uoya Nishi-machi Nara 630-8506, Japan
| | - A Takahara
- Center for Nuclear Study, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
| | - A Taketani
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - K Tanida
- Advanced Science Research Center, Japan Atomic Energy Agency, 2-4 Shirakata Shirane, Tokai-mura, Naka-gun, Ibaraki-ken 319-1195, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- Department of Physics and Astronomy, Seoul National University, Seoul 151-742, Korea
| | - M J Tannenbaum
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - S Tarafdar
- Vanderbilt University, Nashville, Tennessee 37235, USA
- Weizmann Institute, Rehovot 76100, Israel
| | - A Taranenko
- National Research Nuclear University, MEPhI, Moscow Engineering Physics Institute, Moscow 115409, Russia
- Chemistry Department, Stony Brook University, SUNY, Stony Brook, New York 11794-3400, USA
| | - A Timilsina
- Iowa State University, Ames, Iowa 50011, USA
| | - T Todoroki
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
- Tomonaga Center for the History of the Universe, University of Tsukuba, Tsukuba, Ibaraki 305, Japan
| | - M Tomášek
- Czech Technical University, Zikova 4, 166 36 Prague 6, Czech Republic
| | - H Torii
- Center for Nuclear Study, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
| | - M Towell
- Abilene Christian University, Abilene, Texas 79699, USA
| | - R Towell
- Abilene Christian University, Abilene, Texas 79699, USA
| | - R S Towell
- Abilene Christian University, Abilene, Texas 79699, USA
| | - I Tserruya
- Weizmann Institute, Rehovot 76100, Israel
| | - Y Ueda
- Hiroshima University, Kagamiyama, Higashi-Hiroshima 739-8526, Japan
| | - B Ujvari
- Debrecen University, H-4010 Debrecen, Egyetem tér 1, Hungary
| | - H W van Hecke
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - M Vargyas
- ELTE, Eötvös Loránd University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary
- Institute for Particle and Nuclear Physics, Wigner Research Centre for Physics, Hungarian Academy of Sciences (Wigner RCP, RMKI) H-1525 Budapest 114, P.O. Box 49, Budapest, Hungary
| | - J Velkovska
- Vanderbilt University, Nashville, Tennessee 37235, USA
| | - M Virius
- Czech Technical University, Zikova 4, 166 36 Prague 6, Czech Republic
| | - V Vrba
- Czech Technical University, Zikova 4, 166 36 Prague 6, Czech Republic
- Institute of Physics, Academy of Sciences of the Czech Republic, Na Slovance 2, 182 21 Prague 8, Czech Republic
| | - E Vznuzdaev
- PNPI, Petersburg Nuclear Physics Institute, Gatchina, Leningrad region 188300, Russia
| | - X R Wang
- New Mexico State University, Las Cruces, New Mexico 88003, USA
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - Z Wang
- Baruch College, City University of New York, New York, New York 10010, USA
| | - D Watanabe
- Hiroshima University, Kagamiyama, Higashi-Hiroshima 739-8526, Japan
| | - Y Watanabe
- RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - Y S Watanabe
- Center for Nuclear Study, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
- KEK, High Energy Accelerator Research Organization, Tsukuba, Ibaraki 305-0801, Japan
| | - F Wei
- New Mexico State University, Las Cruces, New Mexico 88003, USA
| | - S Whitaker
- Iowa State University, Ames, Iowa 50011, USA
| | - S Wolin
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - C P Wong
- Georgia State University, Atlanta, Georgia 30303, USA
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - C L Woody
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - M Wysocki
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - B Xia
- Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
| | - L Xue
- Georgia State University, Atlanta, Georgia 30303, USA
| | - S Yalcin
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - Y L Yamaguchi
- Center for Nuclear Study, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
- Department of Physics and Astronomy, Stony Brook University, SUNY, Stony Brook, New York 11794-3800, USA
| | - A Yanovich
- IHEP Protvino, State Research Center of Russian Federation, Institute for High Energy Physics, Protvino 142281, Russia
| | - I Yoon
- Department of Physics and Astronomy, Seoul National University, Seoul 151-742, Korea
| | - I Younus
- Physics Department, Lahore University of Management Sciences, Lahore 54792, Pakistan
| | - I E Yushmanov
- National Research Center "Kurchatov Institute," Moscow 123098, Russia
| | - W A Zajc
- Columbia University, New York, New York 10027 and Nevis Laboratories, Irvington, New York 10533, USA
| | - A Zelenski
- Collider-Accelerator Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - L Zou
- University of California-Riverside, Riverside, California 92521, USA
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Oh S, Park S, Park Y, Kim YA, Park G, Cui X, Kim K, Joo S, Hur S, Kim G, Choi J. Culturing characteristics of Hanwoo myosatellite cells and C2C12 cells incubated at 37°C and 39°C for cultured meat. J Anim Sci Technol 2023; 65:664-678. [PMID: 37332290 PMCID: PMC10271921 DOI: 10.5187/jast.2023.e10] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/04/2023] [Accepted: 01/21/2023] [Indexed: 11/21/2023]
Abstract
To improve culture efficiency of Hanwoo myosatellite cells, these cells were cultured at different temperatures. Hanwoo myosatellite cells were compared with C2C12 cells to observe proliferation and differentiation at culture temperatures of 37°C and 39°C and determine the possibility of using them as cultured meat. Immunofluorescence staining using Pax7 and Hoechst, both cells cultured at 37°C proliferated better than cultured at 39°C (p < 0.05). When differentiated cells were stained with myosin and Hoechst, there was no significant difference in myotube thickness and Fusion index (p > 0.05). In Western blotting analysis, Hanwoo myosatellite cells were no significant difference in the expression of myosin between cells differentiated at the two temperatures (p > 0.05). C2C12 cells were no significant difference in the expression of myosin between cells differentiated at the two temperatures (p > 0.05). In reverse transcription and quantitative polymerase chain reaction (RT-qPCR) analysis, Hanwoo myosatellite cells cultured at 39°C had significantly (p < 0.05) higher expression levels of MyHC, MYF6, and MB than those cultured at 37°C. C2C12 cells cultured at 39°C showed significantly (p < 0.05) higher expression levels of MYOG and MB than those cultured at 37°C. To increase culture efficiency of Hanwoo myosatellite cells, proliferating at 37°C and differentiating at 39°C are appropriate. Since results of temperature differences of Hanwoo myosatellite cells were similar to those of C2C12 cells, they could be used as a reference for producing cultured meat using Hanwoo satellite cells.
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Affiliation(s)
- Sehyuk Oh
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
| | - Sanghun Park
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
| | - Yunhwan Park
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
| | - Yun-a Kim
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
| | - Gyutae Park
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
| | - Xiangshun Cui
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
| | - Kwansuk Kim
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
| | - Seontea Joo
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju 52852, Korea
| | - Sunjin Hur
- Department of Animal Science and Technology, Chung-Ang University, Anseong 17546, Korea
| | - Gapdon Kim
- Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Korea
| | - Jungseok Choi
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea
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Clarke S, Geczy R, Balgi A, Park S, Zhao R, Swaminathan M, Tieu R, Hoang N, Webb C, Watt E, Wong M, Fujisawa M, Jain N, Zhang A, Thomas A. Abstract 1785: Multi-step engineering of gene-edited CAR T cells using RNA lipid nanoparticles. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-1785] [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: 04/07/2023]
Abstract
Abstract
Autologous chimeric antigen receptor (CAR) T therapies utilize patient cells and can be limited by cell quality, and the high manufacturing burden of viral vectors. As such, there is a need for allogeneic, “off-the-shelf” CAR T cells to make these transformative treatments widely available. However, allogeneic therapies require multiple genetic engineering steps to express CAR and to delete proteins responsible for graft-versus-host disease. Messenger RNA (mRNA) is a promising approach for expression of therapeutic proteins and gene editing nucleases. In this work, we demonstrate a new method for multi-step engineering of gene-edited CAR T cells using RNA lipid nanoparticles (LNPs).
LNPs encapsulating Spy-Cas9 mRNA, TCR and CD52 guide RNA (sgRNA), and CAR mRNA were produced using microfluidics. The CAR construct contained an anti-CD19 scFv binding domain and CD3ζ/4-1BB co-stimulatory domains. Microgram quantities of RNA LNPs were produced to optimize LNP packaging, cargo ratios, and sgRNA combinations. Lead candidates were scaled to milligrams. Purified human primary T cells were cultured, activated, and expanded in serum-free media in plates, flasks and bioreactors. CAR+, TCR− or CD52− cells were generated by addition of the corresponding LNP to activated cells. Cytotoxic killing was determined by co-culture assays with leukemia cells. Gene knockout, CAR expression, viability and cell killing were measured using flow-cytometry.
CD19 CAR was selected as a relevant protein for expression, with TCR and CD52 proteins as gene knockout targets. Single-step addition of CAR LNPs to T cells resulted in transfection efficiencies of 95.0 ± 2.1% and high protein expression. Upon TCR or CD52 LNP addition to T cells, the onset of gene editing was within 48 hours, reaching single target knockout efficiencies of 92.3 ± 3.0% (TCR−), and double knockouts (TCR−/CD52−) of 74.5 ± 6.1%. Similar results were obtained when comparing different LNP batch sizes (microgram to milligram RNA) and cell culture vessels (125,000 to 45 million cells), demonstrating scalability of both the LNP production and cell treatment. Cell viabilities above 90% were maintained at all steps and for all RNA LNPs. Finally, as proof-of-concept for multi-step engineering, sequential addition of TCR LNPs and CAR LNPs resulted in simultaneous CAR expression and TCR gene knockout. These “off-the-shelf” gene-edited CAR T cells were functionally equivalent to non-edited cells in a B cell killing assay, efficiently clearing over 80% of leukemia target cells at a 1:1 ratio.
Our findings demonstrate the advantages of LNPs for RNA delivery to T cells. The simple and gentle nature of LNP cell treatment allows for multiple genetic engineering steps for simultaneous expression and deletion of proteins. Furthermore, LNPs can be easily manufactured using microfluidics, enabling small-scale screening of RNA libraries and rapid scale-up of lead candidates for clinical translation.
Citation Format: Samuel Clarke, R Geczy, A Balgi, S Park, R Zhao, M Swaminathan, R Tieu, N Hoang, C Webb, E Watt, M Wong, M Fujisawa, N Jain, Angela Zhang, Anitha Thomas. Multi-step engineering of gene-edited CAR T cells using RNA lipid nanoparticles [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1785.
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Affiliation(s)
- Samuel Clarke
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - R Geczy
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - A Balgi
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - S Park
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - R Zhao
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - M Swaminathan
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - R Tieu
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - N Hoang
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - C Webb
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - E Watt
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - M Wong
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - M Fujisawa
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - N Jain
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - Angela Zhang
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
| | - Anitha Thomas
- 1Precision NanoSystems ULC, Vancouver, British Columbia, Canada
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Bang MJ, Park S, Kim W, Lee S, Seo JM. Prevalence And Clinical Significance Of Sarcopenia During Treatment Of Abdominal Neuroblastoma In Children. Clin Nutr ESPEN 2023. [DOI: 10.1016/j.clnesp.2022.09.111] [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: 03/28/2023]
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Kim E, Kim K, Park S, Youn J. Real-World Eligibility and Cost-Effectiveness Analysis for Empagliflozin in Patients with Heart Failure. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.180] [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: 04/05/2023] Open
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23
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Lee G, Park S, Lee S, Song K, Kim Y, Chang W, Kim J, Park N, Kim J, Park S, Hwang I, Kim H, Kim I. Bioimpedance Analysis as a Screening Tool in Heart-Transplanted Patients. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1265] [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: 04/05/2023] Open
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Park J, Lee H, Kim Y, Choi S, Park S, Park J, Na K. Lung Volume Change Analysis in Lung Transplantation Using a Three-Dimensional Image Analysis System. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1467] [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: 04/05/2023] Open
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25
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Park S, Pal SK, Otoufat T, Kim G. Radiative-Cooling Composites with Enhanced Infrared Emissivity by Structural Infrared Scattering through Indium Tin Oxide Nanoparticles in a Polymer Matrix. ACS Appl Mater Interfaces 2023; 15:16026-16033. [PMID: 36920422 DOI: 10.1021/acsami.3c00143] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Radiative cooling has attracted tremendous interest as it can tackle global warming by saving energy consumption in heating, ventilation, and air conditioning (HVAC) in buildings. Polymer materials play an important role in radiative cooling owing to their high infrared emissivity. Along this line, numerous studies on optically optimized geometries were carried out to enhance the selective wavelength absorption for high infrared emissivity; however, the polymer material itself relatively was not investigated and optimized enough. Herein, we investigate the infrared radiation (IR) absorption coefficient of various polymer types, and introduce a new concept of radiative-cooling composites. By dispersing the IR scattering medium in a polymer matrix, IR can be effectively scattered and attenuated by the polymer matrix. Indium tin oxide was utilized as the IR scattering medium in a cellulose acetate polymer matrix in this report. The window film was made with this composite and showed an effective cooling performance by outdoor thermal evaluation. This composite opens a new venue to endow materials with enhanced radiative-cooling property regardless of the polymer types.
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Affiliation(s)
- Sanghun Park
- Biomedical Manufacturing Technology Center, Korea Institute of Industrial Technology, Yeongcheon 38822, Republic of Korea
| | - Sudip Kumar Pal
- Biomedical Manufacturing Technology Center, Korea Institute of Industrial Technology, Yeongcheon 38822, Republic of Korea
| | - Tohid Otoufat
- Biomedical Manufacturing Technology Center, Korea Institute of Industrial Technology, Yeongcheon 38822, Republic of Korea
| | - Gunwoo Kim
- Biomedical Manufacturing Technology Center, Korea Institute of Industrial Technology, Yeongcheon 38822, Republic of Korea
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Chao C, Park S. Abstract No. 116 Evaluating our Initial Experience with Hepatic Hilar Nerve Block for Microwave Ablation of Liver Malignancies: Procedure Time, Efficacy and Duration. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.166] [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: 02/27/2023] Open
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Ban CY, Shin H, Eum S, Yon H, Lee SW, Choi YS, Shin YH, Shin JU, Koyanagi A, Jacob L, Smith L, Min C, Yeniova AÖ, Kim SY, Lee J, Yeo SG, Kwon R, Koo MJ, Fond G, Boyer L, Acharya KP, Kim S, Woo HG, Park S, Shin JI, Rhee SY, Yon DK. 17-year trends of body mass index, overweight, and obesity among adolescents from 2005 to 2021, including the COVID-19 pandemic: a Korean national representative study. Eur Rev Med Pharmacol Sci 2023; 27:1565-1575. [PMID: 36876712 DOI: 10.26355/eurrev_202302_31399] [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: 03/07/2023]
Abstract
OBJECTIVE There is a lack of pediatric studies that have analyzed trends in mean body mass index (BMI) and the prevalence of obesity and overweight over a period that includes the mid-stage of the COVID-19 pandemic. Thus, we aimed to investigate trends in BMI, overweight, and obesity among Korean adolescents from 2005 to 2021, including the COVID-19 pandemic. SUBJECTS AND METHODS We used data from the Korea Youth Risk Behavior Web-based Survey (KYRBS), which is nationally representative of South Korea. The study included middle- and high-school students between the ages of 12 and 18. We examined trends in mean BMI and prevalence of obesity and/or overweight during the COVID-19 pandemic and compared these to those of pre-pandemic trends in each subgroup by gender, grade, and residential region. RESULTS Data from 1,111,300 adolescents (mean age: 15.04 years) were analyzed. The estimated weighted mean BMI was 20.48 kg/m2 (95% CI, 20.46-20.51) between 2005 and 2007, and this was 21.61 kg/m2 (95% CI, 21.54-21.68) in 2021. The prevalence of overweight and obesity was 13.1% (95% CI, 12.9-13.3%) between 2005 and 2007 and 23.4% (95% CI, 22.8-24.0%) in 2021. The mean BMI and prevalence of obesity and overweight have gradually increased over the past 17 years; however, the extent of change in mean BMI and in the prevalence of obesity and overweight during the pandemic was distinctly less than before. The 17-year trends in the mean BMI, obesity, and overweight exhibited a considerable rise from 2005 to 2021; however, the slope during the COVID-19 pandemic (2020-2021) was significantly less prominent than in the pre-pandemic (2005-2019). CONCLUSIONS These findings enable us to comprehend long-term trends in the mean BMI of Korean adolescents and further emphasize the need for practical prevention measures against youth obesity and overweight.
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Affiliation(s)
- C Y Ban
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
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Son M, Yoon N, Park S, Abbas A, Cho KH. An open-source deep learning model for predicting effluent concentration in capacitive deionization. Sci Total Environ 2023; 856:159158. [PMID: 36191701 DOI: 10.1016/j.scitotenv.2022.159158] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
To effectively evaluate the performance of capacitive deionization (CDI), an electrochemical ion separation technology, it is necessary to accurately estimate the number of ions removed (effluent concentration) according to energy consumption. Herein, we propose and evaluate a deep learning model for predicting the effluent concentration of a CDI process. The developed deep learning model exhibited excellent prediction accuracy for both constant current and constant voltage modes (R2 ≥ 0.968), and the accuracy increased with the data size. This model was based on the open-source language, Python, and the code has since been distributed with proper instructions for general use. Owing to the nature of the data-oriented deep learning model, the findings of this study are not only applicable to conventional CDI but also to various types of CDI (membrane CDI, flow CDI, faradaic CDI, etc.). Therefore, by referring to the examples shown in this study, we hope that this open-source deep learning code will be widely used in CDI research.
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Affiliation(s)
- Moon Son
- Center for Water Cycle Research, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Energy and Environment Technology, KIST-School, University of Science and Technology, Seoul 02792, Republic of Korea
| | - Nakyung Yoon
- Center for Water Cycle Research, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Sanghun Park
- Center for Water Cycle Research, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Ather Abbas
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Kyung Hwa Cho
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 44919, Republic of Korea.
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Jaffari ZH, Abbas A, Lam SM, Park S, Chon K, Kim ES, Cho KH. Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green. J Hazard Mater 2023; 442:130031. [PMID: 36179629 DOI: 10.1016/j.jhazmat.2022.130031] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/05/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
This study focuses on the potential capability of numerous machine learning models, namely CatBoost, GradientBoosting, HistGradientBoosting, ExtraTrees, XGBoost, DecisionTree, Bagging, light gradient boosting machine (LGBM), GaussianProcess, artificial neural network (ANN), and light long short-term memory (LightLSTM). These models were investigated to predict the photocatalytic degradation of malachite green from wastewater using various NM-BiFeO3 composites. A comprehensive databank of 1200 data points was generated under various experimental conditions. The ten input variables selected were the catalyst type, reaction time, light intensity, initial concentration, catalyst loading, solution pH, humic acid concentration, anions, surface area, and pore volume of various photocatalysts. The MG dye degradation efficiency was selected as the output variable. An evaluation of the performance metrics suggested that the CatBoost model, with the highest test coefficient of determination (0.99) and lowest mean absolute error (0.64) and root-mean-square error (1.34), outperformed all other models. The CatBoost model showed that the photocatalytic reaction conditions were more important than the material properties. The modeling results suggested that the optimized process conditions were a light intensity of 105 W, catalyst loading of 1.5 g/L, initial MG dye concentration of 5 mg/L and solution pH of 7. Finally, the implications and drawbacks of the current study were stated in detail.
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Affiliation(s)
- Zeeshan Haider Jaffari
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Ather Abbas
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Sze-Mun Lam
- Department of Environmental Engineering, Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, 31900 Kampar, Perak, Malaysia
| | - Sanghun Park
- Center for Water Cycle Research, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea
| | - Kangmin Chon
- Department of Environmental Engineering, College of Engineering, Kangwon National University, Kangwondaehak-gil, 1, Chuncheon-si, Gangwon-do 24341, Republic of Korea; Department of Integrated Energy and Infra system, Kangwon National University, Kangwondaehak-gil, 1, Chuncheon-si, Gangwon-do 24341, Republic of Korea
| | - Eun-Sik Kim
- Department of Environmental System Engineering, Chonnam National University, Yeosu 59626, Republic of Korea.
| | - Kyung Hwa Cho
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulsan 44919, Republic of Korea; Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea.
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Jung J, Kang S, Lee S, Park H, Kim J, Kim SK, Park S, Lim YJ, Kim E, Lim S, Chang E, Bae S, Kim M, Chong Y, Lee SO, Choi SH, Kim Y, Park MS, Kim SH. Risk of transmission of COVID-19 from healthcare workers returning to work after a 5-day isolation, and kinetics of shedding of viable SARS-CoV-2 variant B.1.1.529 (Omicron). J Hosp Infect 2023; 131:228-233. [PMID: 36460176 PMCID: PMC9705265 DOI: 10.1016/j.jhin.2022.11.012] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/16/2022] [Accepted: 11/19/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND There have been limited data on the risk of onward transmission from individuals with Omicron variant infections who return to work after a 5-day isolation. AIM To evaluate the risk of transmission from healthcare workers (HCWs) with Omicron variant who returned to work after a 5-day isolation and the viable-virus shedding kinetics. METHODS This investigation was performed in a tertiary care hospital, Seoul, South Korea. In a secondary transmission study, we retrospectively reviewed the data of HCWs confirmed as COVID-19 from March 14th to April 3rd, 2022 in units with five or more COVID-19-infected HCWs per week. In the viral shedding kinetics study, HCWs with Omicron variant infection who agreed with daily saliva sampling were enrolled between February and March, 2022. FINDINGS Of the 248 HCWs who were diagnosed with COVID-19 within 5 days of the return of an infected HCW, 18 (7%) had contact with the returned HCW within 1-5 days after their return. Of these, nine (4%) had an epidemiologic link other than with the returning HCW, and nine (4%) had contact with the returning HCW, without any other epidemiologic link. In the study of the kinetics of virus shedding (N = 32), the median time from symptom onset to negative conversion of viable virus was four days (95% confidence interval: 3-5). CONCLUSION Our data suggest that the residual risk of virus transmission after 5 days of isolation following diagnosis or symptom onset is low.
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Affiliation(s)
- J. Jung
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea,Office for Infection Control, Asan Medical Center, Seoul, South Korea
| | - S.W. Kang
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - S. Lee
- Office for Infection Control, Asan Medical Center, Seoul, South Korea
| | - H. Park
- Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of Medicine, Korea University, Seoul, South Korea
| | - J.Y. Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - S.-K. Kim
- Office for Infection Control, Asan Medical Center, Seoul, South Korea
| | - S. Park
- Office for Infection Control, Asan Medical Center, Seoul, South Korea
| | - Y.-J. Lim
- Office for Infection Control, Asan Medical Center, Seoul, South Korea
| | - E.O. Kim
- Office for Infection Control, Asan Medical Center, Seoul, South Korea
| | - S.Y. Lim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - E. Chang
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - S. Bae
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - M.J. Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Y.P. Chong
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - S.-O. Lee
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - S.-H. Choi
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Y.S. Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - M.-S. Park
- Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of Medicine, Korea University, Seoul, South Korea,Corresponding author. Address: Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro, 43-gil, Songpa-gu, Seoul, South Korea. Tel.: +82 2 3010-3305
| | - S.-H. Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea,Office for Infection Control, Asan Medical Center, Seoul, South Korea,Corresponding author. Address: Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea. Tel.: +82 2 2286-1312
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Ko E, Park Y, Park K, Woo C, Park S, Kim YA, Park G, Oh S, Kim J, Choi J. Relationship of pig carcass grade with the amount of pork belly estimated with AutoFom III. Anim Prod Sci 2023. [DOI: 10.1071/an22089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
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Amamoto R, Shimamoto K, Suwa T, Park S, Matsumoto H, Shimizu K, Katto M, Makino H, Matsubara S, Aoyagi Y. Relationships between dietary diversity and gut microbial diversity in the elderly. Benef Microbes 2022; 13:453-464. [PMID: 36377581 DOI: 10.3920/bm2022.0054] [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] [Indexed: 11/16/2022]
Abstract
Diet is considered as a major driver of gut microbiota composition. However, little is known about the relationship between overall dietary balance and gut microbiota, especially in the elderly. Here, using the Quantitative Index for Dietary Diversity (QUANTIDD), we analysed the relationships between dietary diversity and gut microbiota diversity in 445 Japanese subjects aged 65-90 years. We also examined the effect of age by comparing the young-old group aged 65 to 74 years (<75 years group; n=246) and the old-old group aged 75 years and older (≥75 years group; n=199). QUANTIDD showed significant positive relationships with Pielou's evenness and Shannon indices, two α-diversity indices related to the uniformity of species distribution. This suggests that a more diverse diet is associated with a more uniform abundance of various bacterial groups, rather than a greater variety of gut bacteria. QUANTIDD also showed significant positive associations with the abundance of Anaerostipes, Eubacterium eligens group, and Eubacterium ventriosum group, which produce short-chain fatty acids (SCFAs) and are beneficial to health. Negative association was found with the abundance of Ruminococcus gnavus group, which produces inflammatory polysaccharides. Positive associations between QUANTIDD and α-diversity indices or the abundance of specific bacterial groups were identified among all subjects and in the <75 years group, but not in the ≥75 years group. Our results suggest that dietary diversity contributes to the diversity of the gut microbiota and increases the abundance of SCFAs-producing bacteria, but only up to a certain age. These findings help to understand the complex relationship between diet and gut microbiota, and provide hints for specific dietary interventions to promote beneficial gut microbiota in the elderly.
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Affiliation(s)
- R Amamoto
- Food Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - K Shimamoto
- Food Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - T Suwa
- Food Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - S Park
- Exercise Sciences Research Group, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakaecho, Itabashi-ku, Tokyo 173-0015, Japan
| | - H Matsumoto
- Microbiological Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - K Shimizu
- Basic Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - M Katto
- Basic Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - H Makino
- Food Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - S Matsubara
- Food Research Department, Yakult Central Institute, 5-11 Izumi, Kunitachi-shi, Tokyo 186-8650, Japan
| | - Y Aoyagi
- Exercise Sciences Research Group, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakaecho, Itabashi-ku, Tokyo 173-0015, Japan
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Yoon N, Park S, Son M, Cho KH. Automation of membrane capacitive deionization process using reinforcement learning. Water Res 2022; 227:119337. [PMID: 36370591 DOI: 10.1016/j.watres.2022.119337] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/17/2022] [Accepted: 11/04/2022] [Indexed: 06/16/2023]
Abstract
Capacitive deionization (CDI) is an alternative desalination technology that uses electrochemical ion separation. Although several attempts have been made to maximize the energy efficiency and productivity of CDI with conventional control methods, it is difficult to optimize the CDI processes because of the complex correlation between the operational conditions and the composition of feed water. To address these challenges, we applied deep reinforcement learning (DRL) to automatically control the membrane capacitive deionization (MCDI) process, which is one of the representative CDI processes, to accomplish high energy efficiency while desalinating water. In the DRL model, the numerical model is combined as the environment that provides states according to the actions. The feed water conditions, that is, the input state of the DRL, were assumed to have a random salt concentration and constant foulant concentration. The model was constructed to minimize energy consumption and maximize desalted water volume per cycle. After training of 1,000 episodes, the DRL model achieved a 22.07% reduction in specific energy consumption (from 0.054 to 0.042 kWh m-3) and 11.60% increase in water desalted water volume per cycle (from 1.96×10-5 to 2.19×10-5 m3), achieving the desired degree of desalination, compared to the first episode. This improved performance was because the trained model selected the optimized operating conditions of current, voltage, and the number and intensity of flushing. Furthermore, it was possible to train the model depending on demand by modifying the reward function of the DRL model. The fundamental principle described in this study for applying the DRL model in MCDI operations can be the cornerstone of a fully automated water desalination process.
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Affiliation(s)
- Nakyung Yoon
- Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 44919, Republic of Korea; Center for Water Cycle Research, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea.
| | - Sanghun Park
- Center for Water Cycle Research, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea
| | - Moon Son
- Center for Water Cycle Research, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea; Division of Energy and Environment Technology, KIST-School, University of Science and Technology, Seoul 02792, Republic of Korea.
| | - Kyung Hwa Cho
- Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 44919, Republic of Korea.
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Lee E, Kim J, Bae Y, Park S, Park J, Che L, Oh S. 526 The involvement of gremlin 1 in particulate matter-induced melanogenesis. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.541] [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: 11/19/2022]
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Park S, Shim J, Yoon N, Lee S, Kwak D, Lee S, Kim YM, Son M, Cho KH. Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions. Chemosphere 2022; 308:136364. [PMID: 36087735 DOI: 10.1016/j.chemosphere.2022.136364] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/02/2022] [Accepted: 09/04/2022] [Indexed: 06/15/2023]
Abstract
Enhancing engineering efficiency and reducing operating costs are permanent subjects that face all engineers over the world. To effectively improve the performance of filtration systems, it is necessary to determine an optimal operating condition beyond conventional methods of periodic and empirical operation. Herein, this paper proposes an effective approach to finding an optimal operating strategy using deep reinforcement learning (DRL), particularly for an ultrafiltration (UF) system. Deep learning was developed to represent the UF system utilizing a long-short term memory and provided an environment for DRL. DRL was designed to control three actions; operating pressure, cleaning time, and cleaning concentration. Ultimately, DRL proposed the UF system to actively change the operating pressure and cleaning conditions over time toward better water productivity and operating efficiency. DRL denoted ∼20.9% of specific energy consumption can be reduced by increasing average water flux (39.5-43.7 L m-2 h-1) and reducing operating pressure (0.617-0.540 bar). Moreover, the optimal action of DRL was reasonable to achieve better performance beyond the conventional operation. Crucially, this study demonstrated that due to the nature of DRL, the approach is tractable for engineering systems that have structurally complex relationships among operating conditions and resultants.
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Affiliation(s)
- Sanghun Park
- Center for Water Cycle Research, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Jaegyu Shim
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Nakyung Yoon
- Center for Water Cycle Research, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulsan 44919, Republic of Korea
| | - Sungman Lee
- Department of Civil and Environmental Engineering, Hanyang University, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Donggeun Kwak
- Infra Research Group Environmental Technology Section, POSCO Engineering and Construction, Incheon Tower-daero, Yeonsu-gu, Incheon, 22009, Republic of Korea
| | - Seungyong Lee
- Infra Research Group Environmental Technology Section, POSCO Engineering and Construction, Incheon Tower-daero, Yeonsu-gu, Incheon, 22009, Republic of Korea
| | - Young Mo Kim
- Department of Civil and Environmental Engineering, Hanyang University, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Moon Son
- Center for Water Cycle Research, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea; Division of Energy and Environment Technology, KIST-School, University of Science and Technology, Seoul, 02792, Republic of Korea.
| | - Kyung Hwa Cho
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulsan 44919, Republic of Korea.
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Park J, Lim D, Park J, Mok J, Park J, Park S. 606 Identification of first-in-class HSP47 inhibitor and its suppressive role in hypertrophic scars and keloids. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.623] [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: 11/19/2022]
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Kim J, Park S, Kim J, Lee E, Bae Y, Oh S. 124 Effects of Long-pulsed Alexandrite Laser treatment on Microbiome in Rosacea Patients. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.134] [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: 11/19/2022]
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Park S, Han JH, Hwang J, Yon DK, Lee SW, Kim JH, Koyanagi A, Jacob L, Oh H, Kostev K, Dragioti E, Radua J, Eun HS, Shin JI, Smith L. The global burden of sudden infant death syndrome from 1990 to 2019: a systematic analysis from the Global Burden of Disease study 2019. QJM 2022; 115:735-744. [PMID: 35385121 DOI: 10.1093/qjmed/hcac093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 03/26/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Sudden infant death syndrome (SIDS) still remains one of the leading causes of infant death worldwide, especially in high-income countries. To date, however, there is no detailed information on the global health burden of SIDS. AIMS To characterize the global disease burden of SIDS and its trends from 1990 to 2019 and to compare the burden of SIDS according to the socio-demographic index (SDI). DESIGN Systematic analysis based on the Global Burden of Disease (GBD) 2019 data. METHODS Epidemiological data of 204 countries from 1990 to 2019 were collected via various methods including civil registration and vital statistics in the original GBD study. Estimates for mortality and disease burden of SIDS were modeled. Crude mortality and mortality rates per 100 000 population were analyzed. Disability-adjusted life years (DALYs) and DALY rates were also assessed. RESULTS In 2019, mortality rate of SIDS accounted for 20.98 [95% Uncertainty Interval, 9.15-46.16] globally, which was a 51% decrease from 1990. SIDS was most prevalent in Western sub-Saharan Africa, High-income North America and Oceania in 2019. The burden of SIDS was higher in males than females consistently from 1990 to 2019. Higher SDI and income level was associated with lower burden of SIDS; furthermore, countries with higher SDI and income had greater decreases in SIDS burden from 1990 to 2019. CONCLUSIONS The burden of SIDS has decreased drastically from 1990 to 2019. However, the improvements have occurred disproportionately between regions and SDI levels. Focused preventive efforts in under-resourced populations are needed.
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Affiliation(s)
- S Park
- From the Yonsei College of Medicine, Seoul, 03722, Republic of Korea
| | - J H Han
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - J Hwang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - D K Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, 02447, Republic of Korea
| | - S W Lee
- Department of Data Science, Sejong University College of Software Convergence, Seoul, 05006, Republic of Korea
- Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea
| | - J H Kim
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - A Koyanagi
- Department of Research and Development Unit, Parc Sanitari Sant Joan de Deu/CIBERSAM, Universitat de Barcelona, Fundacio Sant Joan de Deu, Sant Boi de Llobregat, Barcelona, 08830, Spain
- Life and Medical Sciences, ICREA, Pg. Lluis Companys 23, Barcelona, 08010, Spain
| | - L Jacob
- Department of Research and Development Unit, Parc Sanitari Sant Joan de Deu/CIBERSAM, Universitat de Barcelona, Fundacio Sant Joan de Deu, Sant Boi de Llobregat, Barcelona, 08830, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, 28029, Spain
- Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux, 78180, France
| | - H Oh
- School of Social Work, University of Southern California, Los Angeles, CA, 90089, USA
| | - K Kostev
- University Clinic of Marburg, Marburg, 35043, Germany
| | - E Dragioti
- Pain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, 58183, Sweden
| | - J Radua
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, WC2R 2LS, UK
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), CIBERSAM, Barcelona, 08036, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, 17176, Sweden
| | - H S Eun
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - J I Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - L Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, CB1 1PT, UK
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Russial O, Raben A, Hockstein N, Park S, Clements L, Desouza-Lawrence L. Novel Enhancement of Checkpoint Inhibition Using Pulsing Radiotherapy with Concurrent and Adjuvant CPI for LAHNSCC in Elderly Patients Considered Ineligible for Curative Intent Therapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1628] [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: 11/29/2022]
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Oh J, Yoon M, Lee SH, Lee CJ, Park S, Lee SH, Kang SM. Genetic analysis of Korean non-ischemic dilated cardiomyopathy using next generation sequencing. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.902] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Non-ischemic dilated cardiomyopathy (NIDCM) is a genetic disorder that causes heart failure and life-threatening arrhythmia. However, there has been no study about the up-to-date genetic analysis for NIDCM in Korean. Therefore, we performed the genetic analysis of Korean NIDCM patients (pts) using next generation sequencing (NGS).
Methods
We analyzed clinical and echocardiographic data of 203 NIDCM in a single center from July 2017 to May 2020. All pts underwent NGS analysis with customized panel including 369 genes. Genetic variants were classified as pathogenic, likely pathogenic mutations or variants of uncertain significance regarding American College of Medical Genetics guideline.
Results
A total of 203 NIDCM pts (57±15 years old, 32.0% male, LVEF 28%) had NGS analysis. Thirty-seven (18.2%) pts had pathogenic or likely pathogenic mutations. The most prevalent mutated genes were TTN (n=16, 43.2%). TNNT2 (n=6, 16.2%), MYBPC3 (n=6, 16.2%) and MYH7 (n=3, 8.1%) mutated genes were common in the following order. The patients with positive panel mutation had no significant difference in initial LVEF (27% vs. 28%, p=0.216) and prevalence of atrial fibrillation (37.8% vs. 44.6%, p=0.454) compared with patients with negative panel mutation. During the median follow-up period of 40 months, there was no significant difference in composite outcome (all-cause death, heart transplantation, LVAD, heart failure re-admission, fatal arrhythmia) (35.3% vs. 32.2%, p=0.729) or presence of improved EF (≥10 points increase from baseline LVEF, and a second measurement of LVEF >40%) (41.2% vs. 50.0%, p=0.354) between the two groups.
Conclusion
This is the first study of NGS analysis in Korean NIDCM pts. We could find disease-related pathogenic or likely pathogenic mutations in 18.2% NIDCM patients. Further prospective, large study should be warranted to elucidate the effect of genetic mutation in clinical manifestation and prognosis of NIDCM in Korean population.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- J Oh
- Yonsei University College of Medicine, Cardiology Division , Seoul , Korea (Republic of)
| | - M Yoon
- Yonsei University College of Medicine, Cardiology Division , Seoul , Korea (Republic of)
| | - S H Lee
- Yonsei University College of Medicine, Cardiology Division , Seoul , Korea (Republic of)
| | - C J Lee
- Yonsei University College of Medicine, Cardiology Division , Seoul , Korea (Republic of)
| | - S Park
- Yonsei University College of Medicine, Cardiology Division , Seoul , Korea (Republic of)
| | - S H Lee
- Yonsei University College of Medicine, Cardiology Division , Seoul , Korea (Republic of)
| | - S M Kang
- Yonsei University College of Medicine, Cardiology Division , Seoul , Korea (Republic of)
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Park S, Arakai M, Nakajima A, Lee H, Ye JC, Jang IK. Diagnosis of coronary layered plaque by deep learning. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.338] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background/Introduction
Healed coronary plaques, morphologically characterized by a layered pattern, are signatures of previous plaque disruption and healing. Recent optical coherence tomography (OCT) studies showed that layered plaque is associated with vascular vulnerability and rapid plaque progression. However, the diagnosis of layered plaque requires expertise in OCT image interpretation and is susceptible to interobserver variability.
Purpose
We aimed to develop a deep learning (DL) model for an accurate diagnosis of layered plaque.
Methods
We developed a Visual Transformer (ViT)-based DL model emulating the cardiologists who review consecutive OCT frames to make a diagnosis (Figure 1), and compared it to the standard convolutional neural network (CNN) model. We used 302,415 cross-sectional OCT images from 873 patients collected from 9 sites: 237,021 images from 581 patients for training and internal validation from 8 sites, and 65394 images from 292 patients collected from another site for external validation.
Results
Model performances were evaluated using the area under the receiver operating characteristics (AUC). In the five-fold cross validation, the ViT-based model showed better performance than the standard CNN-based model with AUC of 0.886 (95% confidence interval [CI], 0.882–0.891) compared with 0.797 (95% CI, 0.790–0.804). The ViT-based model also outperformed the standard CNN-based model in the external validation, with an AUC of 0.857 (95% CI, 0.849–0.864) compared to 0.806 (95% CI, 0.797–0.815) (Figure 2).
Conclusion(s)
The ViT-based DL model will help cardiologists to make an accurate diagnosis of layered plaque, which might help to stratify the risk of future adverse cardiac events.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Mrs. Gillian Gray through the Allan Gray Fellowship Fund in Cardiology
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Affiliation(s)
- S Park
- Korea Advanced Institute of Science and Technology, Bio and Brain Engineering , Daejeon , Korea (Republic of)
| | - M Arakai
- Massachusetts General Hospital - Harvard Medical School, Cardiology Division , Boston , United States of America
| | - A Nakajima
- Massachusetts General Hospital - Harvard Medical School, Cardiology Division , Boston , United States of America
| | - H Lee
- Massachusetts General Hospital - Harvard Medical School, Biostatistics Center , Boston , United States of America
| | - J C Ye
- Korea Advanced Institute of Science and Technology, Bio and Brain Engineering , Daejeon , Korea (Republic of)
| | - I K Jang
- Massachusetts General Hospital - Harvard Medical School, Cardiology Division , Boston , United States of America
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Jin U, Lee CJ, Yoon M, Ha J, Oh J, Park S, Lee SH, Kang SM. The association between frailty and physical performance in elderly patients with heart failure. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1062] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Frailty is known to be an important prognostic indicator in heart failure (HF). The Korean version of the frail scale for Koreans (K-FRAIL) has been developed and verified. The purpose of this study is to analyze the relationship between the K-FRAIL scale and physical performance, including muscular fitness and aerobic capacity in patients with HF.
Methods
This study included 143 HF patients aged over 65 years from a single tertiary hospital. In these subjects, muscular fitness was assessed using the handgrip test and knee extensor strength measurement, and aerobic capacity was assessed by cardiopulmonary exercise test and 6-minute walk test. Frailty status was measured using the K-FRAIL questionnaire and was classified as robust (K-FRAIL scale: 0), prefrail (1–2), and frail (3–5).
Results
Mean age of participants with robust (N=37), prefrail (N=75), and frail (N=31) were 72.5, 73.5, and 76.3 years, respectively. There was no difference in sex and left ventricular ejection fraction (LVEF) among groups, but the estimated glomerular filtration rate (eGFR) was significantly lower as frailty status increased (75.6±17.2 vs. 70.0±20.5 vs. 56.1±23.7 mL/min/1.73 m2; P<0.001). Hand-grip strength and knee extensor muscle strength did not differ among groups. However, peak oxygen consumption (peak VO2; 22.8±5.0 vs. 19.3±4.6 vs. 16.9±4.7 mL/kg/min, P<0.001) and 6-min walk distance (458.4±68.2 vs. 404.5±92.3 vs. 311.2±120.5 m; p<0.001) significantly decreased according to frailty severity. In multivariate regression analysis adjusted for age, sex, haemoglobin, eGFR and LVEF, peak VO2 (β=−0.311; P=0.002) and 6-min walk distance (β=−0.384; P<0.001) showed a significant inverse association with the K-FRAIL scale. With the cut-off value from receiver-operating characteristic curve analysis, peak VO2 (hazard ratio, 5.08; p=0.023) and 6MWT (hazard ratio, 3.99; p=0.020) were independent predictor of frailty according to K-FRAIL scale.
Conclusion
In elderly HF patients, physical performance differs according to frailty status, peak VO2 and 6-min walk distance correlates with the K-FRAIL scale better than muscular fitness.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- U Jin
- Ajou University School of Medicine, Department of Cardiology , Suwon , Korea (Republic of)
| | - C J Lee
- Yonsei University College of Medicine, Division of Cardiology, Severance Cardiovascular Hospital and Cardiovascular Research Institute , Seoul , Korea (Republic of)
| | - M Yoon
- Seoul National University Bundang Hospital, Department of Cardiology , Seongnam , Korea (Republic of)
| | - J Ha
- Yonsei University College of Medicine, Division of Cardiology, Severance Cardiovascular Hospital and Cardiovascular Research Institute , Seoul , Korea (Republic of)
| | - J Oh
- Yonsei University College of Medicine, Division of Cardiology, Severance Cardiovascular Hospital and Cardiovascular Research Institute , Seoul , Korea (Republic of)
| | - S Park
- Yonsei University College of Medicine, Division of Cardiology, Severance Cardiovascular Hospital and Cardiovascular Research Institute , Seoul , Korea (Republic of)
| | - S H Lee
- Yonsei University College of Medicine, Division of Cardiology, Severance Cardiovascular Hospital and Cardiovascular Research Institute , Seoul , Korea (Republic of)
| | - S M Kang
- Yonsei University College of Medicine, Division of Cardiology, Severance Cardiovascular Hospital and Cardiovascular Research Institute , Seoul , Korea (Republic of)
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Lee SH, Lee CJ, Park S, Han K. Dementia in individuals with severe hypercholesterolemia: Korean nationwide cohort study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2339] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Dementia risk and benefit of lipid lowering in individuals with severe hypercholesterolemia has not been well studied. The aim of this study was to evaluate the risk of dementia and effect of lipid lowering in this population using nationwide cohort.
Methods
This study was performed using the National Health Insurance Service database of Korea. Among individuals who took health check-up and were followed-up, 1,584,401 were enrolled and analyzed. Study population were categorized to three groups with severe hypercholesterolemia according to LDL-C levels, >260, 225–259, and 190–224 mg/dL groups, and a control group (<160 mg/dL). Risks of incident dementia (all dementia, Alzheimer's disease, and vascular dementia) were compared. In the subgroup with new statin users, the effect of statins was further analyzed according to post-treatment LDL-C levels (<70, 70–99, 100–129, >130 mg/dL).
Results
In the median follow-up of 6.1 years, all dementia occurred up to 5.41/1000 person-year in the groups with severe hypercholesterolemia. Adjusted hazard ratios (aHRs) of all dementia in the groups ranged from 1.05 to 1.34 (p=0.023) and were dependent of LDL-C categories. Alzheimer's disease developed up to 4.94/1000 person-year and aHRs ranged from 1.04 to 1.38 (p=0.040) with the same pattern to all dementia. Vascular dementia occurred up to 0.59/100 person-year and aHRs ranged from 1.03 to 1.57 without significant difference according to LDL-C categories. In the median follow-up of 6.2 years in new statin users, aHRs were 0.69 to 0.92 for all dementia and 0.74 to 0.92 for Alzheimer's disease, and 0.53 to 1.15 for vascular dementia according to post-treatment LDL-C levels. However, the risk was not significantly related to the levels.
Conclusions
This study newly showed elevated risk of dementia, particularly Alzheimer's disease, in patients with severe hypercholesterolemia. The benefit of active lipid lowering on this neurological disease needs to be proven by further studies.
Funding Acknowledgement
Type of funding sources: Other. Main funding source(s): Korean Society of Lipid and Atherosclerosis; National Research Foundation of Korea
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Affiliation(s)
- S H Lee
- Yonsei University College of Medicine, Cardiology, Internal Medicine , Seoul , Korea (Republic of)
| | - C J Lee
- Yonsei University College of Medicine, Cardiology, Internal Medicine , Seoul , Korea (Republic of)
| | - S Park
- The Catholic University of Korea , Seoul , Korea (Republic of)
| | - K Han
- Soongsil University , Seoul , Korea (Republic of)
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Ievlev V, Jensen-Cody C, Lynch T, Pai A, Park S, Shahin W, Wang K, Parekh K, Engelhardt J. 437 Sox9 and Lef1 regulate the fate and behavior of airway glandular stem cells in response to injury. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01127-4] [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: 11/05/2022]
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Park S, Kim T, Kim S, Kim M, Keam B, Kim D, Heo D. Mechanisms of resistance to mobocertinib in EGFR exon 20 insertion-mutant non-small cell lung cancer (NSCLC). Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01095-4] [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: 11/29/2022]
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Kim S, Chowdhury T, Yu H, Choi S, Kim K, Kang H, Lee J, Lee S, Won J, Kim K, Kim K, Kim M, Lee J, Kim J, Kim Y, Kim T, Choi S, Phi J, Shin Y, Ku J, Lee S, Yun H, Lee H, Kim D, Kim K, Hur JK, Park S, Kim S, Park C. P02.01.B The telomere maintenance mechanism spectrum and its dynamics in gliomas. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.094] [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: 11/12/2022] Open
Abstract
Abstract
The activation of the telomere maintenance mechanism (TMM) is one of the critical drivers of cancer cell immortality. In gliomas, TERT expression and TERT promoter mutation are considered to reliably indicate telomerase activation, while ATRX mutation indicates alternative lengthening of telomeres (ALT). However, these relationships have not been extensively validated in tumor tissues. Here, we show through the direct measurement of telomerase activity and ALT in a large set of glioma samples that the TMM in glioma cannot be defined in the dichotomy of telomerase activity and ALT, regardless of TERT expression, TERT promoter mutation and ATRX mutation. Moreover, we observed that a considerable proportion of gliomas lack both telomerase activity and ALT (Neither group). And this Neither group exhibited evidence of slow growth potential. From a set of longitudinal samples from a separate cohort of glioma patients, we discovered that the TMM is not fixed but changes with glioma progression. Collectively, these results suggest that the TMM is a dynamic entity and that reflects the plasticity of the oncogenic biological status of tumor cells and that the TMM should be defined by the direct measurement of telomerase enzyme activity and evidence of ALT.
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Affiliation(s)
- S Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - T Chowdhury
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - H Yu
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Choi
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - K Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - H Kang
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Won
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - K Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - K Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - M Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - Y Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - T Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Choi
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Phi
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - Y Shin
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Ku
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Lee
- Seoul National University Hospital , Seoul , Korea, Republic of
| | - H Yun
- Seoul National University Hospital , Seoul , Korea, Republic of
| | - H Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - D Kim
- Kyung Hee University , Seoul , Korea, Republic of
| | - K Kim
- Korea University , Seoul , Korea, Republic of
| | - J K Hur
- Hanyang University , Seoul , Korea, Republic of
| | - S Park
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - C Park
- Seoul National University College of Medicine , Seoul , Korea, Republic of
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Woo H, Na K, Park S, Kang C, Kim Y, Park I. EP02.03-004 Association Between Sarcopenia and Outcomes of Lung Cancer Surgery in Old-Age Patients: Interim Analysis of Prospective Cohort Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.359] [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: 10/14/2022]
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Kim S, Park G, Kim S, Song S, Song H, Ryu J, Park S, Pereira S, Paeng K, Ock CY. 1706P Artificial intelligence-powered tumor purity assessment from H&E whole slide images associates with variant allele frequency of somatic mutations across 23 cancer types in TCGA cohorts. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1784] [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: 11/01/2022] Open
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Jeon YK, Jung H, Park S, Lee SH, Kim T, Kim S, Chung J, Ahn MJ. 1655P Dabrafenib and trametinib in patients with metastatic BRAFV600E-mutated thyroid cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1735] [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: 11/01/2022] Open
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Cho S, Lim Y, Cho S, Kim S, Park G, Song S, Song H, Park S, Ma M, Jung W, Paeng K, Ock CY, Cho E, Song S. 155P Artificial Intelligence (AI) - powered human epidermal growth factor receptor-2 (HER2) and tumor-infiltrating lymphocytes (TIL) analysis for HER2-positive early breast cancer patients treated with HER2-targeted neoadjuvant chemotherapy (NAC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.190] [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: 11/25/2022] Open
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