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Gao B, Zhang Y, Ouyang J, Tai B, Cao X, Hu S. Surgical removal of a retained lumbar-drainage catheter. Neurochirurgie 2020; 66:408-409. [PMID: 32777232 DOI: 10.1016/j.neuchi.2020.06.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 06/28/2020] [Indexed: 11/25/2022]
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Su X, Sulin VV, Sullivan MJ, Sultan DMS, Sultansoy S, Sumida T, Sun S, Sun X, Suruliz K, Suster CJE, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Swift SP, Swirski T, Sydorenko A, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taenzer J, Taffard A, Tafirout R, Tagiev E, Takashima R, Takeda K, Takeshita T, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tam KC, Tamir NM, Tanaka J, Tanaka R, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AJ, Taylor GN, Taylor W, Teagle H, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Ten Kate H, Teoh JJ, Terada S, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Thais SJ, Themistokleous N, Theveneaux-Pelzer T, Thiele F, Thomas DW, Thomas JO, Thomas JP, Thompson EA, Thompson PD, Thomson E, Thorpe EJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Todome K, Todorova-Nova S, Todt S, Tojo J, Tokár S, Tokushuku K, Tolley E, Tombs R, Tomiwa KG, Tomoto M, Tompkins L, Tornambe P, Torrence E, Torres H, Torró Pastor E, Tosciri C, Toth J, Tovey DR, Traeet A, Treado CJ, Trefzger T, Tresoldi F, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk DA, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trovato F, Truong L, Trzebinski M, Trzupek A, Tsai F, Tseng JCL, Tsiareshka PV, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tulbure TT, Tuna AN, Turchikhin S, Turgeman D, Turk Cakir I, Turner RJ, Turra RT, Tuts PM, Tzamarias S, Tzovara E, Uchida K, Ukegawa F, Unal G, Unal M, Undrus A, Unel G, Ungaro FC, Unno Y, Uno K, Urban J, Urquijo P, Usai G, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vafeiadis T, Vaidya A, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Valéry L, Vallance RA, Vallier A, Valls Ferrer JA, Van Daalen TR, Van Gemmeren P, Van Stroud S, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall ER, Vaniachine A, Vannicola D, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varvell KE, Vasile ME, Vasquez GA, Vazeille F, Vazquez Furelos D, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veloce LM, Veloso F, Veneziano S, Ventura A, Verbytskyi A, Vercesi V, Verducci M, Vergel Infante CM, Vergis C, Verkerke W, Vermeulen AT, Vermeulen JC, Vernieri C, Vetterli MC, Viaux Maira N, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Villhauer EM, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Vittori C, Vivarelli I, Vogel M, Vokac P, von Buddenbrock SE, Von Toerne E, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vozak M, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vuillermet R, Vukotic I, Wada S, Wagner P, Wagner W, Wagner-Kuhr J, Wahdan S, Wahlberg H, Wakasa R, Walbrecht VM, Walder J, Walker R, Walker SD, Walkowiak W, Wallangen V, Wang AM, Wang AZ, Wang C, Wang C, Wang F, Wang H, Wang H, Wang J, Wang P, Wang Q, Wang RJ, Wang R, Wang R, Wang SM, Wang WT, Wang W, Wang WX, Wang Y, Wang Z, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Warrack N, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Weber C, Weber MS, Weber SA, Weber SM, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells PS, Wenaus T, Wendland B, Wengler T, Wenig S, Wermes N, Wessels M, Weston TD, Whalen K, Wharton AM, White AS, White A, White MJ, Whiteson D, Whitmore BW, Wiedenmann W, Wiel C, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilkens HG, Wilkins LJ, Williams HH, Williams S, Willocq S, Windischhofer PJ, Wingerter-Seez I, Winkels E, Winklmeier F, Winter BT, Wittgen M, Wobisch M, Wolf A, Wölker R, Wollrath J, Wolter MW, Wolters H, Wong VWS, Woods NL, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu SL, Wu X, Wu Y, Wuerzinger J, Wyatt TR, Wynne BM, Xella S, Xia L, Xiang J, Xiao X, Xie X, Xiotidis I, Xu D, Xu H, Xu H, Xu L, Xu T, Xu W, Xu Z, Xu Z, Yabsley B, Yacoob S, Yajima K, Yallup DP, Yamaguchi N, Yamaguchi Y, Yamamoto A, Yamatani M, Yamazaki T, Yamazaki Y, Yan J, Yan Z, Yang HJ, Yang HT, Yang S, Yang T, Yang X, Yang Y, Yang Z, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye H, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yin P, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Zaazoua M, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Ženiš T, Zerwas D, Zgubič M, Zhang B, Zhang DF, Zhang G, Zhang J, Zhang K, Zhang L, Zhang L, Zhang M, Zhang R, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou H, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. CP Properties of Higgs Boson Interactions with Top Quarks in the tt[over ¯]H and tH Processes Using H→γγ with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 125:061802. [PMID: 32845699 DOI: 10.1103/physrevlett.125.061802] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
A study of the charge conjugation and parity (CP) properties of the interaction between the Higgs boson and top quarks is presented. Higgs bosons are identified via the diphoton decay channel (H→γγ), and their production in association with a top quark pair (tt[over ¯]H) or single top quark (tH) is studied. The analysis uses 139 fb^{-1} of proton-proton collision data recorded at a center-of-mass energy of sqrt[s]=13 TeV with the ATLAS detector at the Large Hadron Collider. Assuming a CP-even coupling, the tt[over ¯]H process is observed with a significance of 5.2 standard deviations. The measured cross section times H→γγ branching ratio is 1.64_{-0.36}^{+0.38}(stat)_{-0.14}^{+0.17}(sys) fb, and the measured rate for tt[over ¯]H is 1.43_{-0.31}^{+0.33}(stat)_{-0.15}^{+0.21}(sys) times the Standard Model expectation. The tH production process is not observed and an upper limit on its rate of 12 times the Standard Model expectation is set. A CP-mixing angle greater (less) than 43 (-43)° is excluded at 95% confidence level.
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He HX, Ji AQ, Han N, Zhao YX, Hu S, Kong QL, Liu Y, Sun QF. Identification of Peripheral Blood and Menstrual Blood Based on the Expression Level of MicroRNAs and Discriminant Analysis. FA YI XUE ZA ZHI 2020; 36:514-518. [PMID: 33047536 DOI: 10.12116/j.issn.1004-5619.2020.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Indexed: 06/11/2023]
Abstract
Objective To construct a discriminant analysis model based on the differential expression of multiple microRNAs (miRNAs) in two kinds of blood samples (peripheral blood and menstrual blood) and three non-blood samples (saliva, semen and vaginal secretion), to form an identification solution for peripheral blood and menstrual blood. Methods Six kinds of miRNA (miR-451a, miR-144-3p, miR-144-5p, miR-214-3p, miR-203-3p and miR-205-5p) were selected from literature, the samples of five kinds of body fluids commonly seen in forensic practice (peripheral blood, menstrual blood, saliva, semen, vaginal secretion) were collected, then the samples were divided into training set and testing set and detected by SYBR Green real-time qPCR. A discriminant analysis model was set up based on the expression data of training set and the expression data of testing set was used to examine the accuracy of the model. Results A discriminant analysis statistical model that could distinguish blood samples from non-blood samples and distinguish peripheral blood samples from menstrual blood samples at the same time was successfully constructed. The identification accuracy of the model was over 99%. Conclusion This study provides a scientific and accurate identification strategy for forensic fluid identification of peripheral blood and menstrual blood samples and could be used in forensic practice.
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Zorbas TG, Zou R, Zwalinski L. Search for Heavy Higgs Bosons Decaying into Two Tau Leptons with the ATLAS Detector Using pp Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2020; 125:051801. [PMID: 32794886 DOI: 10.1103/physrevlett.125.051801] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
A search for heavy neutral Higgs bosons is performed using the LHC Run 2 data, corresponding to an integrated luminosity of 139 fb^{-1} of proton-proton collisions at sqrt[s]=13 TeV recorded with the ATLAS detector. The search for heavy resonances is performed over the mass range 0.2-2.5 TeV for the τ^{+}τ^{-} decay with at least one τ-lepton decaying into final states with hadrons. The data are in good agreement with the background prediction of the standard model. In the M_{h}^{125} scenario of the minimal supersymmetric standard model, values of tanβ>8 and tanβ>21 are excluded at the 95% confidence level for neutral Higgs boson masses of 1.0 and 1.5 TeV, respectively, where tanβ is the ratio of the vacuum expectation values of the two Higgs doublets.
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Hu MJ, Yu YX, Fan YF, Jiang YM, Hu S, Wang XM, Hu CH. [The predictive value of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced MRI imaging features combined with quantitative parameters for the pathologic grading of hepatocellular carcinoma]. ZHONGHUA YI XUE ZA ZHI 2020; 100:1299-1304. [PMID: 32375436 DOI: 10.3760/cma.j.cn112137-20191021-02281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the predictive value of gadolinium-ethoxybenzyl- diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI imaging features combined with quantitative parameters for the pathologic grading of hepatocellular carcinoma (HCC). Methods: Eighty patients (65 males, 15 females; range 30-74 years,average age (59±11) years old) with HCC who underwent curative resection or biopsy from June 2016 to June 2019 in the First Affiliated Hospital of Soochow University after Gd-EOB-DTPA-enhanced MRI were evaluated retrospectively.According to the pathological results of the postoperative pathology, eighty patients were divided into poorly differentiated group (26 cases, 22 males, 4 females) and moderately-well differentiated group (54 cases, 43 males, 11 females). In Gd-EOB-DTPA-enhanced MRI, qualitative parameters were assessed. Quantitative parameters including tumor size, tumor-to-liver signal intensity ratio(SIR) of arterial phase (AP), portal vein phase (PP), equilibrium phase (EP) and hepatobiliary phase (HBP), contrast enhancement ration AP (CER-AP)were measured and calculated. Clinical data and qualitative parameters between poorly differentiated group and moderately-well differentiated group were analyzed by using χ(2) test.Quantitative parameters were analyzed by using independent sample t test. Statistically significant qualitative parameters, quantitative parameters, qualitative combined with quantitative parameters and AFP combined with qualitative and quantitative parameters were included in binary logistic regression model. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the four prediction model for the pathologic grading of HCC. Results: There was a statistical difference between poorly differentiated group and moderately-well differentiated group in AFP, arterial peritumoral enhancement, arterial rim enhancement, peritumoral hypointensity on HBP and tumor signal (all P<0.05). In two groups, tumor size, SIR-AP and SIR-PP were (7.0±3.7) vs (3.9±2.4)cm,1.11±0.29 vs 1.31±0.32 and 0.89±0.21 vs 1.03±0.27 (all P<0.05). AUC of qualitative parameters, quantitative parameters, qualitative combined with quantitative parameters and AFP combined with qualitative and quantitative parameters were 0.805, 0.804, 0.855, 0.892.There was a statistical difference between qualitative parameters and qualitative combined with quantitative parameters in sensitivity(80.8% vs 92.3%, P<0.05). Conclusion: Gd-EOB-DTPA-enhanced MRI imaging features combined with quantitative parameters can be used to predict the pathologic grading of HCC preoperatively, which has a great applicative value.
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Hemu X, El Sahili A, Hu S, Zhang X, Serra A, Goh BC, Darwis DA, Chen MW, Sze SK, Liu CF, Lescar J, Tam JP. Turning an Asparaginyl Endopeptidase into a Peptide Ligase. ACS Catal 2020. [DOI: 10.1021/acscatal.0c02078] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Lakhotia H, Kim HY, Zhan M, Hu S, Meng S, Goulielmakis E. Laser picoscopy of valence electrons in solids. Nature 2020; 583:55-59. [PMID: 32612227 DOI: 10.1038/s41586-020-2429-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 05/01/2020] [Indexed: 11/09/2022]
Abstract
Valence electrons contribute a small fraction of the total electron density of materials, but they determine their essential chemical, electronic and optical properties. Strong laser fields can probe electrons in valence orbitals1-3 and their dynamics4-6 in the gas phase. Previous laser studies of solids have associated high-harmonic emission7-12 with the spatial arrangement of atoms in the crystal lattice13,14 and have used terahertz fields to probe interatomic potential forces15. Yet the direct, picometre-scale imaging of valence electrons in solids has remained challenging. Here we show that intense optical fields interacting with crystalline solids could enable the imaging of valence electrons at the picometre scale. An intense laser field with a strength that is comparable to the fields keeping the valence electrons bound in crystals can induce quasi-free electron motion. The harmonics of the laser field emerging from the nonlinear scattering of the valence electrons by the crystal potential contain the critical information that enables picometre-scale, real-space mapping of the valence electron structure. We used high harmonics to reconstruct images of the valence potential and electron density in crystalline magnesium fluoride and calcium fluoride with a spatial resolution of about 26 picometres. Picometre-scale imaging of valence electrons could enable direct probing of the chemical, electronic, optical and topological properties of materials.
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Hu S, Laughter M, Dellavalle R. 481 Reliability of self-reported data on social media vs. National Residency Match Program Charting Outcomes for dermatology applicants. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Song H, Hu S, Jin J. CD3+ T cells suppress androgen receptor in BPH via IL-1β/miR-15b-5p signaling to affect 5 alpha reductase inhibitor treatment. EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)33001-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Hu S, Anand P, Laughter M, Maymone M. 548 Holistic dermatology: An evidence-based review of modifiable lifestyle factors associations with dermatologic disorders. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Measurement of the Lund Jet Plane Using Charged Particles in 13 TeV Proton-Proton Collisions with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 124:222002. [PMID: 32567910 DOI: 10.1103/physrevlett.124.222002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/06/2020] [Accepted: 05/13/2020] [Indexed: 06/11/2023]
Abstract
The prevalence of hadronic jets at the LHC requires that a deep understanding of jet formation and structure is achieved in order to reach the highest levels of experimental and theoretical precision. There have been many measurements of jet substructure at the LHC and previous colliders, but the targeted observables mix physical effects from various origins. Based on a recent proposal to factorize physical effects, this Letter presents a double-differential cross-section measurement of the Lund jet plane using 139 fb^{-1} of sqrt[s]=13 TeV proton-proton collision data collected with the ATLAS detector using jets with transverse momentum above 675 GeV. The measurement uses charged particles to achieve a fine angular resolution and is corrected for acceptance and detector effects. Several parton shower Monte Carlo models are compared with the data. No single model is found to be in agreement with the measured data across the entire plane.
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Galbraith D, Caliskan M, Jabado O, Hu S, Fleischmann R, Weinblatt M, Connolly S, Maldonado MA, Gao S. THU0063 DIFFERENTIAL PHARMACODYNAMIC EFFECTS OF ABATACEPT AND ADALIMUMAB ON THE SERUM PROTEOME OF PATIENTS WITH RA USING THE SOMASCAN® PLATFORM. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Abatacept (ABA) versus adaliMumab (ADA) comParison in bioLogic-naïvERA subjects with background MTX (AMPLE) was a Phase IIIb clinical trial to compare the safety, efficacy and radiographic outcomes of ABA vs ADA in patients with RA who exhibited an inadequate response to MTX and who were naïve to biologic DMARDs.1While both therapies demonstrated similar efficacy across multiple outcomes, their mechanisms of action (MoAs) are quite different; ABA is a T-cell co-stimulation modulator and ADA is a TNFα inhibitor. Previous transcriptomic analysis of the whole blood samples showed differential pharmacodynamic (PD) effects between the treatments.1–3Objectives:To expand our understanding of differential PD changes in the serum proteome over time in patients treated with ABA or ADA in AMPLE using a novel proteomic platform.Methods:Serum was available from 440 patients in AMPLE at four time points (Days 1, 85, 365 and 729). Serum samples from the patients in AMPLE and 123 healthy individuals with matching demographics were subjected to proteomic quantification by a highly multiplexed DNA aptamer technology with wide dynamic ranges (SomaLogic SomaScan®platform).4A linear model analysis was used to identify protein abundance changes over time and changes specific to treatment. Other covariates included in the model were country of origin, ethnicity and sex. Additionally, patient effect was adjusted for as a random factor.Results:Both treatments exhibited a significant PD effect on serum proteome over the course of the 2-year trial, with 73 proteins modulated by ABA and 125 by ADA. There were large overlaps between the two treatments, including proteins associated with RA, such as C-X-C motif chemokine ligand 13 (CXCL13), matrix metalloproteinase-3 (MMP3) and serum amyloid A1/A2 (SAA1/2). Changes in the levels of these proteins may be indicative of general improvement of the disease. The proteins modulated by the treatments were enriched in the G-protein coupled receptor (GPCR) signalling and innate immunity pathways. Among the proteins that exhibited significantly different PD effects between the treatments were CRP, CC chemokine ligand 17 (CCL17) and β-defensin 112 (Figure). While patients showed marked improvement in their symptoms after 2 years of treatment, the overall serum proteomic profiles of the patients were still different from those of a normal healthy population.Conclusion:The SomaScan®platform provides a robust method for quantifying the PD change in a broad portion of the serum proteome in clinical trials. In AMPLE, abatacept was more selective than adalimumab in modulating protein biomarkers in patients with RA, though there was large overlap in proteins modulated by both treatments. The treatment-specific changes may reflect the different MoAs leading to similar clinical outcomes. While patients in both groups benefited from treatments, their serum proteome remained notably different from that of a healthy population. Further analysis by responder status may provide additional links between the treatment responses and proteomic changes. Proteomic approaches as described in our study could contribute to clinical trials and help shape treatment strategies for patients with RA.References:[1]Schiff M, et al.Ann Rheum Dis2014;73:86–94.[2]Bandyopadhyay S, et al.Arthritis Rheum2014;66:Abstract 1520.[3]Sokolove J, et al.Ann Rheum Dis2016;75:709–14.[4]Gold L, et al.PLoS One2010;5:e15004.Disclosure of Interests:David Galbraith Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Minal Caliskan Employee of: Bristol-Myers Squibb, Omar Jabado Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Sarah Hu Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Roy Fleischmann Grant/research support from: AbbVie, Akros, Amgen, AstraZeneca, Bristol-Myers Squibb, Boehringer, IngelhCentrexion, Eli Lilly, EMD Serono, Genentech, Gilead, Janssen, Merck, Nektar, Novartis, Pfizer, Regeneron Pharmaceuticals, Inc., Roche, Samsung, Sandoz, Sanofi Genzyme, Selecta, Taiho, UCB, Consultant of: AbbVie, ACEA, Amgen, Bristol-Myers Squibb, Eli Lilly, Gilead, GlaxoSmithKline, Novartis, Pfizer, Sanofi Genzyme, UCB, Michael Weinblatt Grant/research support from: Amgen, Bristol-Myers Squibb, Crescendo, Lily, Sanofi/Regeneron, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Crescendo, Gilead, Horizon, Lily, Pfizer, Roche, Sean Connolly Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Michael A Maldonado Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Sheng Gao Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb
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Verstappen GM, Gao L, Pringle SA, Liefers SC, Van der Vegt B, Patel V, Hu S, Mukherjee S, Vissink A, Bootsma H, Kroese FGM. OP0042 THE TRANSCRIPTOME OF PAIRED MINOR AND MAJOR SALIVARY GLAND TISSUE IN PATIENTS WITH PRIMARY SJÖGREN’S SYNDROME: TWO OF A KIND? Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Background:In patients with primary Sjögren’s syndrome (pSS), both minor and major salivary glands are targets of the disease. Infiltration of salivary glands by immune cells is characteristic for pSS. However, significant inter- and intra-individual variation exists in the size and composition of the infiltrates. Potential differences between minor and major salivary glands in immune cell presence and inflammatory pathway activation are unclear. This knowledge is essential for clinical trial design and precision therapy.Objectives:To compare the transcriptome of paired labial and parotid salivary gland tissue of patients with pSS and non-SS sicca controls.Methods:Thirty-nine pSS patients and 20 age- and sex-matched non-SS sicca controls, who participated in a prospective diagnostic cohort[1], were included. All pSS patients fulfilled 2016 ACR-EULAR criteria. RNA was isolated from formalin-fixed, paraffin-embedded labial and parotid gland tissue sections from the same individuals. Complementary DNA libraries were prepared and sequenced. Biopsies with evidence of sclerosing chronic sialoadenitis or mucosa-associated lymphoid tissue lymphoma were excluded in the current analysis. For differential gene expression analysis, patients were subdivided in four categories: I) non-SS sicca without lymphocytic infiltration, II) non-SS sicca with aspecific infiltration, III) pSS with negative biopsy (focus score<1), IV) pSS with positive biopsy (focus score≥1). For each differentially expressed gene (DEG), a false detection rate (FDR) was calculated. FDR<0.05 was considered significant.Results:Principal component analysis (PCA) showed that only pSS patients with a positive biopsy (group IV) could be separated from the non-SS sicca patients based on gene expression. When comparing the labial and parotid gland transcriptome, resp. 798 and 1461 DEGs (FDR-adjusted p-value<0.05, log2 fold change >1) were identified between groups I and IV. The top differentially regulated genes were mostly related to T and B cells.CXCL13, CCR6, MS4A1(CD20), FCRL4andDAZLwere among the genes with the highest positive fold change in both glands of biopsy-positive pSS patients. Overall, there was a moderate to strong correlation between fold changes in labial and parotid glands (R2=0.58, p-value<0.0001). Between biopsy-negative and biopsy-positive pSS (groups III and IV), 226 and 962 DEGs were identified for labial and parotid gland tissue, respectively. Interestingly, we could not identify DEGs between biopsy-negative pSS (group III) and non-SS sicca patients (group I).Conclusion:The transcriptome of labial and parotid gland tissue from pSS patients with a positive biopsy is overall comparable, while salivary gland tissue from biopsy-negative pSS patients shows a comparable gene expression profile to non-SS sicca controls. These results indicate that different treatment strategies may be necessary for biopsy-negative and biopsy-positive pSS patients.References:[1]van Nimwegen JF,et al.Validation of the ACR-EULAR criteria for primary Sjögren’s syndrome in a Dutch prospective diagnostic cohort.Rheumatology (Oxford) 2018;57:818–25.Disclosure of Interests:Gwenny M. Verstappen: None declared, Lu Gao Employee of: BMS, Sarah A. Pringle: None declared, Silvia C. Liefers: None declared, Bert van der Vegt Consultant of: Advisory board member for Philips and Visiopharm., Vishal Patel Employee of: BMS, Sarah Hu Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Sumanta Mukherjee Employee of: BMS, Arjan Vissink: None declared, Hendrika Bootsma Grant/research support from: Unrestricted grants from Bristol-Myers Squibb and Roche, Consultant of: Consultant for Bristol-Myers Squibb, Roche, Novartis, Medimmune, Union Chimique Belge, Speakers bureau: Speaker for Bristol-Myers Squibb and Novartis., Frans G.M. Kroese Grant/research support from: Unrestricted grant from Bristol-Myers Squibb, Consultant of: Consultant for Bristol-Myers Squibb, Speakers bureau: Speaker for Bristol-Myers Squibb, Roche and Janssen-Cilag
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Galbraith D, Caliskan M, Jabado O, Hu S, Fleischmann R, Weinblatt M, Connolly S, Maldonado MA, Gao S. FRI0576 IDENTIFICATION OF SERUM PROTEIN BIOMARKERS ASSOCIATED WITH RA DISEASE SEVERITY. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.2208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:RA is a systemic autoimmune disease with heterogeneous manifestation. Recent advances in serum proteomics, such as the SomaScan®platform (SomaLogic, Inc., Boulder, USA), allow for a deeper exploration of the protein biomarkers associated with RA and a better understanding of the molecular aetiology of the disease.Objectives:To characterise the differences in baseline serum proteome of patients with RA (enrolled in the Phase IIIb Abatacept vs adaliMumab comParison in bioLogic-naïvERA subjects with background MTX [AMPLE] study)1compared with a healthy population, and to identify serum protein biomarkers associated with disease severity and radiographic progression.Methods:Patients in the AMPLE study had an inadequate response to MTX and were naïve to biologic DMARDs. Protein abundance was assessed in baseline serum samples from 440 AMPLE study patients and 123 healthy individuals with matching demographics using the SomaScan®platform, with 5000+ slow off-rate modified aptamers and up to 8 log of dynamic range.2Differential abundance testing was performed using linear models to identify differences in protein abundance in patients with RA vs healthy individuals. A separate analysis using a linear model was conducted in only the patients with RA to identify the proteins associated with DAS28 (CRP) and TSS. Pathway analyses were performed for proteins significantly (false discovery rate-adjusted p value <0.05) associated with RA and the disease severity measurements to identify over-representation of the molecular pathways.Results:Compared with healthy individuals, >2000 serum proteins were significantly differentially expressed in patients with RA, including many proteins that have been associated with RA (e.g. serum amyloid A [SAA], CRP) and complement. Most of the protein expression differences were of small magnitude (fold change <2). Proteins that were differentially expressed between patients with RA and healthy individuals were enriched in interleukin signalling, neutrophil degranulation, platelet activation/degranulation and extracellular matrix organisation pathways. DAS28 (CRP) was significantly associated with several biomarkers, including SAA, fibrinogen and CRP; in general, proteins associated with DAS28 (CRP) were most strongly enriched in the platelet activation/degranulation pathways (Figure 1), also seen in patients with RA vs healthy individuals. Additionally, many proteins were significantly associated with TSS, including SAA, matrix metalloproteinase-3 and cartilage acidic protein 1. Here, the proteins were most strongly enriched in the extracellular matrix remodelling pathways (Figure 2).Conclusion:Our study revealed that thousands of serum proteins are differentially expressed and several pathways are dysregulated between patients with RA and healthy individuals. Additional pathways were identified that reflect disease severity, including joint damage, distinct from those pathways associated with the disease. The SomaScan®platform provides a unique proteomic tool with a wide dynamic range for the identification of serum protein biomarkers associated with RA and disease severity. Proteomic signatures should be considered in clinical trials to better understand disease pathogenesis and predict risk in response to treatment.References:[1]Schiff M, et al.Ann Rheum Dis2014;73:86–94.[2]Gold L, et al.PLoS One2010;5:e15004.Acknowledgments:Rachel Rankin (medical writing, Caudex; funding: Bristol-Myers Squibb)Disclosure of Interests:David Galbraith Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Minal Caliskan Employee of: Bristol-Myers Squibb, Omar Jabado Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Sarah Hu Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Roy Fleischmann Grant/research support from: AbbVie, Akros, Amgen, AstraZeneca, Bristol-Myers Squibb, Boehringer, IngelhCentrexion, Eli Lilly, EMD Serono, Genentech, Gilead, Janssen, Merck, Nektar, Novartis, Pfizer, Regeneron Pharmaceuticals, Inc., Roche, Samsung, Sandoz, Sanofi Genzyme, Selecta, Taiho, UCB, Consultant of: AbbVie, ACEA, Amgen, Bristol-Myers Squibb, Eli Lilly, Gilead, GlaxoSmithKline, Novartis, Pfizer, Sanofi Genzyme, UCB, Michael Weinblatt Grant/research support from: Amgen, Bristol-Myers Squibb, Crescendo, Lily, Sanofi/Regeneron, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Crescendo, Gilead, Horizon, Lily, Pfizer, Roche, Sean Connolly Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Michael A Maldonado Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Sheng Gao Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb
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Hu S, Yao Y, Hu X, Zhu Y. LncRNA DCST1-AS1 downregulates miR-29b through methylation in glioblastoma (GBM) to promote cancer cell proliferation. Clin Transl Oncol 2020; 22:2230-2235. [PMID: 32418155 DOI: 10.1007/s12094-020-02363-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 04/28/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION The role of DCST1-AS1 has been investigated in several types of cancer, while the role of DCST1-AS1 in glioblastoma (GBM) is unclear. This study aimed to investigate the role of DCST1-AS1 in GBM. METHODS GBM and paired non-tumor tissues were collected from 62 GBM patients. Expression levels of DCST1-AS1 and miR-29b in paired tissue samples were determined by RT-qPCR. The role of DCST1-AS1 in regulating the methylation of miR-29b was assessed by methylation-specific PCR (MSP). Cell proliferation was analyzed by cell proliferation assay. RESULTS It was observed that the upregulation of DCST1-AS1 in GBM predicted poor survival. MiR-29b was downregulated in GBM and inversely correlated with the expression of DCST1-AS1. In GBM cells, overexpression of DCST1-AS1 resulted in the downregulation of miR-29b and the increased methylation level of miR-29b gene. Overexpression of DCST1-AS1 resulted in increased cell proliferation. Moreover, Overexpression of DCST1-AS1 significantly reversed the inhibitory effects of miR-29b on cancer cell proliferation. CONCLUSION DCST1-AS1 may downregulate miR-29b through methylation in GBM to promote cancer cell proliferation.
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Li J, Long X, Fang X, Zhang Q, Hu S, Lin Z, Xiong N. SARS-CoV-2 positivity in a discharged COVID-19 patient: a case report. Clin Microbiol Infect 2020; 26:1115-1117. [PMID: 32360448 PMCID: PMC7194898 DOI: 10.1016/j.cmi.2020.04.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 04/21/2020] [Accepted: 04/23/2020] [Indexed: 12/28/2022]
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Wang J, Wang XM, Hu S, Xiong X, Hu CH. [The value of analysis of quantitative radiomics based on DTI in predicting astrocytoma IDH1 mutation]. ZHONGHUA YI XUE ZA ZHI 2020; 100:1154-1158. [PMID: 32311879 DOI: 10.3760/cma.j.cn112137-20190906-01977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Non-invasive prediction of IDH1 mutations by establishing a quantitative radiographic model based on DTI-based whole-tumor texture analysis. Methods: Preoperative MRI images of patients with surgically confirmed astrocytoma were collected in the First Affiliated Hospital of Soochow University from February 2016 to June 2019, including T(1)WI, T(2)WI, DTI, and T(1)-contrast enhancement images.A total of 38 patients were included, consisting of 12 mutants and 26 wilds, 20 males and 18 females, the average age was (49±15) years old.The ROIs were drawn on each level of the T(2)WI image using MaZda software and copied to the ADC and FA maps to extract texture feature parameters. The LASSO regression was used to determine the best radiomics features, radiological scores were calculated, and binary Logistic regression was used to construct a prediction model, then the ROC curve was used to analyze the diagnostic efficiency and the calibration curve was used to evaluate model prediction performance. Results: The four most valuable radiomics features were determined by LASSO regression, and then the radiomics scores and Logistic regression models of each patient were established. The radiomics scores of the wild and mutant groups were 2.3±0.3 and 1.8±0.4. There were significant differences between the groups (P<0.05). The ROC curve analysis showed an AUC of 0.837 with sensitivity and specificity of 91.7% and 61.5%, respectively. The Logistic regression model had good predictive performance with AUC of 0.907, sensitivity and specificity of 91.7% and 84.6%. Conclusions: DTI-based whole tumor radiomics model is benefit for predicting astrocytoma IDH1 mutations.
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Chi X, Zhang Y, Ma X, Lu M, Li Z, Xu W, Hu S. Antioxidative stress of oral administration of tea extract granule in chickens. Poult Sci 2020; 99:1956-1966. [PMID: 32241476 PMCID: PMC7587910 DOI: 10.1016/j.psj.2019.11.063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/25/2019] [Accepted: 11/25/2019] [Indexed: 12/23/2022] Open
Abstract
The present study was to evaluate antioxidative effect of tea extract granule (TEG) on oxidative stress induced by cyclophosphamide (Cy) in chickens. In experiment 1, chickens were randomly divided into 5 groups with 10 birds in each. Groups 3 to 5 were orally administered TEG in drinking water for 7 D at doses of 20, 40, and 80 mg/kg body weight, respectively. After that, groups 2 to 5 received intramuscular injection of Cy (100 mg/kg BW) for 3 D. Group 1 was not treated as a control. In experiment 2, chickens were grouped in the same way as in experiment 1. Groups 2 to 5 received intramuscular injection of Cy (100 mg/kg BW) for 3 D. After that, groups 3 to 5 were orally administered TEG in drinking water for 7 D at doses of 20, 40, and 80 mg/kg BW, respectively. Results showed that Cy injection induced significantly decreased body weight and oxidative stress. Oral administration of TEG before or after Cy injection increased body weight, the thymus, bursa, and spleen indices, total antioxidant capacity, and the levels of glutathione; elevated the activity of superoxide dismutase, catalase, and glutathione peroxidase; as well as decreased the protein carbonyl content, lipid peroxide, and malondialdehyde. In addition, TEG administration reduced intracellular reactive oxygen species. Therefore, TEG could be a promising agent against oxidative stress in the poultry industry.
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Calman EV, Fowler-Gerace LH, Choksy DJ, Butov LV, Nikonov DE, Young IA, Hu S, Mishchenko A, Geim AK. Indirect Excitons and Trions in MoSe 2/WSe 2 van der Waals Heterostructures. NANO LETTERS 2020; 20:1869-1875. [PMID: 32069058 DOI: 10.1021/acs.nanolett.9b05086] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Indirect excitons (IX) in semiconductor heterostructures are bosons, which can cool below the temperature of quantum degeneracy and can be effectively controlled by voltage and light. IX quantum Bose gases and IX devices were explored in GaAs heterostructures where an IX range of existence is limited to low temperatures due to low IX binding energies. IXs in van der Waals transition-metal dichalcogenide (TMD) heterostructures are characterized by large binding energies giving the opportunity for exploring excitonic quantum gases and for creating excitonic devices at high temperatures. TMD heterostructures also offer a new platform for studying single-exciton phenomena and few-particle complexes. In this work, we present studies of IXs in MoSe2/WSe2 heterostructures and report on two IX luminescence lines whose energy splitting and temperature dependence identify them as neutral and charged IXs. The experimentally found binding energy of the indirect charged excitons, that is, indirect trions, is close to the calculated binding energy of 28 meV for negative indirect trions in TMD heterostructures [Deilmann, T.; Thygesen, K. S. Nano Lett. 2018, 18, 1460]. We also report on the realization of IXs with a luminescence line width reaching 4 meV at low temperatures. An enhancement of IX luminescence intensity and the narrow line width are observed in localized spots.
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Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, Abidi SH, AbouZeid OS, Abraham NL, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Achkar B, Adachi S, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adersberger M, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Åkesson TPA, Akilli E, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexandre D, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Alimonti G, Alison J, Alkire SP, Allaire C, Allbrooke BMM, Allen BW, Allport PP, Aloisio A, Alonso A, Alonso F, Alpigiani C, Alshehri AA, Alvarez Estevez M, Álvarez Piqueras D, Alviggi MG, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos SP, Amoroso S, Amrouche CS, An F, Anastopoulos C, Andari N, Andeen T, Anders CF, Anders JK, Andreazza A, Andrei V, Anelli CR, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Antrim DJA, Anulli F, Aoki M, Aparisi Pozo JA, Aperio Bella L, Arabidze G, Araque JP, Araujo Ferraz V, Araujo Pereira R, Arcangeletti C, Arce ATH, Arduh FA, Arguin JF, Argyropoulos S, Arling JH, Armbruster AJ, Armstrong A, Arnaez O, Arnold H, Arrubarrena Tame ZP, Artamonov A, Artoni G, Artz S, Asai S, Asbah N, Asimakopoulou EM, Asquith L, Assahsah J, Assamagan K, Astalos R, Atkin RJ, Atkinson M, Atlay NB, Atmani H, Augsten K, Avolio G, Avramidou R, Ayoub MK, Azoulay AM, Azuelos G, Bachacou H, Bachas K, Backes M, Backman F, Bagnaia P, Bahmani M, Bahrasemani H, Bailey AJ, Bailey VR, Baines JT, Bajic M, Bakalis C, Baker OK, Bakker PJ, Bakshi Gupta D, Balaji S, Baldin EM, Balek P, Balli F, Balunas WK, Balz J, Banas E, Bandyopadhyay A, Banerjee S, Bannoura AAE, Barak L, Barbe WM, Barberio EL, Barberis D, Barbero M, Barbour G, Barillari T, Barisits MS, Barkeloo J, Barklow T, Barnea R, Barnes SL, Barnett BM, Barnett RM, Barnovska-Blenessy Z, Baroncelli A, Barone G, Barr AJ, Barranco Navarro L, Barreiro F, Barreiro Guimarães da Costa J, Barsov S, Bartoldus R, Bartolini G, Barton AE, Bartos P, Basalaev A, Bassalat A, Basso MJ, Bates RL, Batlamous S, Batley JR, Batool B, Battaglia M, Bauce M, Bauer F, Bauer KT, Bawa HS, Beacham JB, Beau T, Beauchemin PH, Becherer F, Bechtle P, Beck HC, Beck HP, Becker K, Becker M, Becot C, Beddall A, Beddall AJ, Bednyakov VA, Bedognetti M, Bee CP, Beermann TA, Begalli M, Begel M, Behera A, Behr JK, Beisiegel F, Bell AS, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Belotskiy K, Belyaev NL, Benchekroun D, Benekos N, Benhammou Y, Benjamin DP, Benoit M, Bensinger JR, Bentvelsen S, Beresford L, Beretta M, Berge D, Bergeaas Kuutmann E, Berger N, Bergmann B, Bergsten LJ, Beringer J, Berlendis S, Bernardi G, Bernius C, Bernlochner FU, Berry T, Berta P, Bertella C, Bertram IA, Bessidskaia Bylund O, Besson N, Bethani A, Bethke S, Betti A, Bevan AJ, Beyer J, Bhattacharya DS, Bhattarai P, Bi R, Bianchi RM, Biebel O, Biedermann D, Bielski R, Bierwagen K, Biesuz NV, Biglietti M, Billoud TRV, Bindi M, Bingul A, Bini C, Biondi S, Birman M, Bisanz T, Biswal JP, Biswas D, Bitadze A, Bittrich C, Bjørke K, Black KM, Blazek T, Bloch I, Blocker C, Blue A, Blumenschein U, Bobbink GJ, Bobrovnikov VS, Bocchetta SS, Bocci A, Boerner D, Bogavac D, Bogdanchikov AG, Bohm C, Boisvert V, Bokan P, Bold T, Boldyrev AS, Bolz AE, Bomben M, Bona M, Bonilla JS, Boonekamp M, Booth CD, Borecka-Bielska HM, Borisov A, Borissov G, Bortfeldt J, Bortoletto D, Boscherini D, Bosman M, Bossio Sola JD, Bouaouda K, Boudreau J, Bouhova-Thacker EV, Boumediene D, Boutle SK, Boveia A, Boyd J, Boye D, Boyko IR, Bozson AJ, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau JE, Breaden Madden WD, Brendlinger K, Brenner L, Brenner R, Bressler S, Brickwedde B, Briglin DL, Britton D, Britzger D, Brock I, Brock R, Brooijmans G, 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Mungo DP, Munoz Martinez JL, Munoz Sanchez FJ, Murin P, Murray WJ, Murrone A, Muškinja M, Mwewa C, Myagkov AG, Myers J, Myska M, Nachman BP, Nackenhorst O, Nag AN, Nagai K, Nagano K, Nagasaka Y, Nagel M, Nagle JL, Nagy E, Nairz AM, Nakahama Y, Nakamura K, Nakamura T, Nakano I, Nanjo H, Napolitano F, Naranjo Garcia RF, Narayan R, Naryshkin I, Naumann T, Navarro G, Nechaeva PY, Nechansky F, Neep TJ, Negri A, Negrini M, Nellist C, Nelson ME, Nemecek S, Nemethy P, Nessi M, Neubauer MS, Neumann M, Newman PR, Ng YS, Ng YWY, Ngair B, Nguyen HDN, Nguyen Manh T, Nibigira E, Nickerson RB, Nicolaidou R, Nielsen DS, Nielsen J, Nikiforou N, Nikolaenko V, Nikolic-Audit I, Nikolopoulos K, Nilsson P, Nindhito HR, Ninomiya Y, Nisati A, Nishu N, Nisius R, Nitsche I, Nitta T, Nobe T, Noguchi Y, Nomidis I, Nomura MA, Nordberg M, Norjoharuddeen N, Novak T, Novgorodova O, Novotny R, Nozka L, Ntekas K, Nurse E, Oakham FG, Oberlack H, Ocariz J, Ochi A, Ochoa I, Ochoa-Ricoux JP, O'Connor K, Oda S, Odaka S, Oerdek S, Ogrodnik A, Oh A, Oh SH, Ohm CC, Oide H, Ojeda ML, Okawa H, Okazaki Y, O'Keefe MW, Okumura Y, Okuyama T, Olariu A, Oleiro Seabra LF, Olivares Pino SA, Oliveira Damazio D, Oliver JL, Olsson MJR, Olszewski A, Olszowska J, O'Neil DC, O'neill AP, Onofre A, Onyisi PUE, Oppen H, Oreglia MJ, Orellana GE, Orestano D, Orlando N, Orr RS, O'Shea V, Ospanov R, Otero Y Garzon G, Otono H, Ott PS, Ouchrif M, Ouellette J, Ould-Saada F, Ouraou A, Ouyang Q, Owen M, Owen RE, Ozcan VE, Ozturk N, Pacalt J, Pacey HA, Pachal K, Pacheco Pages A, Padilla Aranda C, Pagan Griso S, Paganini M, Palacino G, Palazzo S, Palestini S, Palka M, Pallin D, Panagoulias I, Pandini CE, Panduro Vazquez JG, Pani P, Panizzo G, Paolozzi L, Papadatos C, Papageorgiou K, Parajuli S, Paramonov A, Paredes Hernandez D, Paredes Saenz SR, Parida B, Park TH, Parker AJ, Parker MA, Parodi F, Parrish EW, Parsons JA, Parzefall U, Pascual Dominguez L, Pascuzzi VR, Pasner JMP, Pasquali F, Pasqualucci E, Passaggio S, Pastore F, Pasuwan P, Pataraia S, Pater JR, Pathak A, Pauly T, Pearson B, Pedersen M, Pedraza Diaz L, Pedro R, Peiffer T, Peleganchuk SV, Penc O, Peng H, Peralva BS, Perego MM, Pereira Peixoto AP, Perepelitsa DV, Peri F, Perini L, Pernegger H, Perrella S, Peters K, Peters RFY, Petersen BA, Petersen TC, Petit E, Petridis A, Petridou C, Petroff P, Petrov M, Petrucci F, Pettee M, Pettersson NE, Petukhova K, Peyaud A, Pezoa R, Pezzotti L, Pham T, Phillips FH, Phillips PW, Phipps MW, Piacquadio G, Pianori E, Picazio A, Pickles RH, Piegaia R, Pietreanu D, Pilcher JE, Pilkington AD, Pinamonti M, Pinfold JL, Pitt M, Pizzimento L, Pleier MA, Pleskot V, Plotnikova E, Podberezko P, Poettgen R, Poggi R, Poggioli L, Pogrebnyak I, Pohl D, Pokharel I, Polesello G, Poley A, Policicchio A, Polifka R, Polini A, Pollard CS, Polychronakos V, Ponomarenko D, Pontecorvo L, Popa S, Popeneciu GA, Portales L, Portillo Quintero DM, Pospisil S, Potamianos K, Potrap IN, Potter CJ, Potti H, Poulsen T, Poveda J, Powell TD, Pownall G, Pozo Astigarraga ME, Pralavorio P, Prell S, Price D, Primavera M, Prince S, Proffitt ML, Proklova N, Prokofiev K, Prokoshin F, Protopopescu S, Proudfoot J, Przybycien M, Pudzha D, Puri A, Puzo P, Qian J, Qin Y, Quadt A, Queitsch-Maitland M, Qureshi A, Racko M, Rados P, Ragusa F, Rahal G, Raine JA, Rajagopalan S, Ramirez Morales A, Ran K, Rashid T, Raspopov S, Rauch DM, Rauscher F, Rave S, Ravina B, Ravinovich I, Rawling JH, Raymond M, Read AL, Readioff NP, Reale M, Rebuzzi DM, Redelbach A, Redlinger G, Reeves K, Rehnisch L, Reichert J, Reikher D, Reiss A, Rej A, Rembser C, Renda M, Rescigno M, Resconi S, Resseguie ED, Rettie S, Reynolds E, Rezanova OL, Reznicek P, Ricci E, Richter R, Richter S, Richter-Was E, Ricken O, Ridel M, Rieck P, Rifki O, Rijssenbeek M, Rimoldi A, Rimoldi M, Rinaldi L, Ripellino G, Riu I, Rivera Vergara JC, Rizatdinova F, Rizvi E, Rizzi C, Roberts RT, Robertson SH, Robin M, Robinson D, Robinson JEM, Robles Gajardo CM, Robson A, Rocchi A, Rocco E, Roda C, Rodriguez Bosca S, Rodriguez Perez A, Rodriguez Rodriguez D, Rodríguez Vera AM, Roe S, Røhne O, Röhrig R, Rojas RA, Roland CPA, Roloff J, Romaniouk A, Romano M, Rompotis N, Ronzani M, Roos L, Rosati S, Rosbach K, Rosin G, Rosser BJ, Rossi E, Rossi E, Rossi E, Rossi LP, Rossini L, Rosten R, Rotaru M, Rothberg J, Rousseau D, Rovelli G, Roy A, Roy D, Rozanov A, Rozen Y, Ruan X, Rühr F, Ruiz-Martinez A, Rummler A, Rurikova Z, Rusakovich NA, Russell HL, Rustige L, Rutherfoord JP, Rüttinger EM, Rybar M, Rybkin G, Rye EB, Ryzhov A, Sabater Iglesias JA, Sabatini P, Sabato G, Sacerdoti S, Sadrozinski HFW, Sadykov R, Safai Tehrani F, Safarzadeh Samani B, Saha P, Saha S, Sahinsoy M, Sahu A, Saimpert M, Saito M, Saito T, Sakamoto H, Sakharov A, Salamani D, Salamanna G, Salazar Loyola JE, Salnikov A, Salt J, Salvatore D, Salvatore F, Salvucci A, Salzburger A, Samarati J, Sammel D, Sampsonidis D, Sampsonidou D, Sánchez J, Sanchez Pineda A, Sandaker H, Sander CO, Sanderswood IG, Sandhoff M, Sandoval C, Sankey DPC, Sannino M, Sano Y, Sansoni A, Santoni C, Santos H, Santpur SN, Santra A, Sapronov A, Saraiva JG, Sasaki O, Sato K, Sauerburger F, Sauvan E, Savard P, Savic N, Sawada R, Sawyer C, Sawyer L, Sbarra C, Sbrizzi A, Scanlon T, Schaarschmidt J, Schacht P, Schachtner BM, Schaefer D, Schaefer L, Schaeffer J, Schaepe S, Schäfer U, Schaffer AC, Schaile D, Schamberger RD, Scharmberg N, Schegelsky VA, Scheirich D, Schenck F, Schernau M, Schiavi C, Schier S, Schildgen LK, Schillaci ZM, Schioppa EJ, Schioppa M, Schleicher KE, Schlenker S, Schmidt-Sommerfeld KR, Schmieden K, Schmitt C, Schmitt S, Schmitz S, Schmoeckel JC, Schnoor U, Schoeffel L, Schoening A, Scholer PG, Schopf E, Schott M, Schouwenberg JFP, Schovancova J, Schramm S, Schroeder F, Schulte A, Schultz-Coulon HC, Schumacher M, Schumm BA, Schune P, Schwartzman A, Schwarz TA, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scodeggio M, Scornajenghi M, Scuri F, Scutti F, Scyboz LM, Sebastiani CD, Seema P, Seidel SC, Seiden A, Seidlitz BD, Seiss T, Seixas JM, Sekhniaidze G, Sekhon K, Sekula SJ, Semprini-Cesari N, Sen S, Serfon C, Serin L, Serkin L, Sessa M, Severini H, Šfiligoj T, Sforza F, Sfyrla A, Shabalina E, Shahinian JD, Shaikh NW, Shaked Renous D, Shan LY, Shank JT, Shapiro M, Sharma A, Sharma AS, Shatalov PB, Shaw K, Shaw SM, Shcherbakova A, Shehade M, Shen Y, Sherafati N, Sherman AD, Sherwood P, Shi L, Shimizu S, Shimmin CO, Shimogama Y, Shimojima M, Shipsey IPJ, Shirabe S, Shiyakova M, Shlomi J, Shmeleva A, Shochet MJ, Shojaii J, Shope DR, Shrestha S, Shrif EM, Shulga E, Sicho P, Sickles AM, Sidebo PE, Sideras Haddad E, Sidiropoulou O, Sidoti A, Siegert F, Sijacki D, Silva M, Silva Oliveira MV, Silverstein SB, Simion S, Simioni E, Simoniello R, Simsek S, Sinervo P, Sinetckii V, Sinev NB, Sioli M, Siral I, Sivoklokov SY, Sjölin J, Skorda E, Skubic P, Slawinska M, Sliwa K, Slovak R, Smakhtin V, Smart BH, Smiesko J, Smirnov N, Smirnov SY, Smirnov Y, Smirnova LN, Smirnova O, Smith JW, Smizanska M, Smolek K, Smykiewicz A, Snesarev AA, Snoek HL, Snyder IM, Snyder S, Sobie R, Soffer A, Søgaard A, Sohns F, Solans Sanchez CA, Soldatov EY, Soldevila U, Solodkov AA, Soloshenko A, Solovyanov OV, Solovyev V, Sommer P, Son H, Song W, Song WY, Sopczak A, Sopkova F, Sotiropoulou CL, Sottocornola S, Soualah R, Soukharev AM, South D, Spagnolo S, Spalla M, Spangenberg M, Spanò F, Sperlich D, Spieker TM, Spighi R, Spigo G, Spina M, Spiteri DP, Spousta M, Stabile A, Stamas BL, Stamen R, Stamenkovic M, Stanecka E, Stanislaus B, Stanitzki MM, Stankaityte M, Stapf B, Starchenko EA, Stark GH, Stark J, Stark SH, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Stegler M, Steinberg P, Steinhebel AL, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson TJ, Stewart GA, Stockton MC, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, Suchek S, Sulin VV, Sullivan MJ, Sultan DMS, Sultansoy S, Sumida T, Sun S, Sun X, Suruliz K, Suster CJE, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Swift SP, Swirski T, Sydorenko A, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taenzer J, Taffard A, Tafirout R, Takai H, Takashima R, Takeda K, Takeshita T, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tamir NM, Tanaka J, Tanaka M, Tanaka R, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AJ, Taylor GN, Taylor W, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Ten Kate H, Teoh JJ, Terada S, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Thais SJ, Theveneaux-Pelzer T, Thiele F, Thomas DW, Thomas JO, Thomas JP, Thompson AS, Thompson PD, Thomsen LA, Thomson E, Thorpe EJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Todome K, Todorova-Nova S, Todt S, Tojo J, Tokár S, Tokushuku K, Tolley E, Tomiwa KG, Tomoto M, Tompkins L, Tong B, Tornambe P, Torrence E, Torres H, Torró Pastor E, Tosciri C, Toth J, Tovey DR, Traeet A, Treado CJ, Trefzger T, Tresoldi F, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trovatelli M, Trovato F, Truong L, Trzebinski M, Trzupek A, Tsai F, Tseng JCL, Tsiareshka PV, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tulbure TT, Tuna AN, Turchikhin S, Turgeman D, Turk Cakir I, Turner RJ, Turra RT, Tuts PM, Tzamarias S, Tzovara E, Ucchielli G, Uchida K, Ueda I, Ughetto M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Uno K, Urban J, Urquijo P, Usai G, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vaidya A, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Valéry L, Vallance RA, Vallier A, Valls Ferrer JA, Van Daalen TR, Van Gemmeren P, Van Vulpen I, Vanadia M, Vandelli W, Vandewall ER, Vaniachine A, Vannicola D, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varvell KE, Vasile ME, Vasquez GA, Vasquez JG, Vazeille F, Vazquez Furelos D, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veloce LM, Veloso F, Veneziano S, Ventura A, Venturi N, Verbytskyi A, Vercesi V, Verducci M, Vergel Infante CM, Vergis C, Verkerke W, Vermeulen AT, Vermeulen JC, Vetterli MC, Viaux Maira N, Vicente Barreto Pinto M, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Vittori C, Vivarelli I, Vogel M, Vokac P, von Buddenbrock SE, Von Toerne E, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vozak M, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vuillermet R, Vukotic I, Wagner P, Wagner W, Wagner-Kuhr J, Wahdan S, Wahlberg H, Walbrecht VM, Walder J, Walker R, Walker SD, Walkowiak W, Wallangen V, Wang AM, Wang C, Wang C, Wang F, Wang H, Wang H, Wang J, Wang J, Wang J, Wang P, Wang Q, Wang RJ, Wang R, Wang R, Wang SM, Wang WT, Wang W, Wang WX, Wang Y, Wang Z, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Warrack N, Washbrook A, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Webb S, Weber C, Weber MS, Weber SA, Weber SM, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells PS, Wenaus T, Wengler T, Wenig S, Wermes N, Werner MD, Wessels M, Weston TD, Whalen K, Whallon NL, Wharton AM, White AS, White A, White MJ, Whiteson D, Whitmore BW, Wiedenmann W, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilk F, Wilkens HG, Wilkins LJ, Williams HH, Williams S, Willis C, Willocq S, Wilson JA, Wingerter-Seez I, Winkels E, Winklmeier F, Winston OJ, Winter BT, Wittgen M, Wobisch M, Wolf A, Wolf TMH, Wolff R, Wölker RW, Wollrath J, Wolter MW, Wolters H, Wong VWS, Woods NL, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xi Z, Xia L, Xiao X, Xiotidis I, Xu D, Xu H, Xu L, Xu T, Xu W, Xu Z, Xu Z, Yabsley B, Yacoob S, Yajima K, Yallup DP, Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamatani M, Yamazaki T, Yamazaki Y, Yan Z, Yang HJ, Yang HT, Yang S, Yang X, Yang Y, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Yuen SPY, Zaazoua M, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Ženiš T, Zerwas D, Zgubič M, Zhang B, Zhang DF, Zhang G, Zhang H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Measurement of Azimuthal Anisotropy of Muons from Charm and Bottom Hadrons in pp Collisions at sqrt[s]=13 TeV with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 124:082301. [PMID: 32167369 DOI: 10.1103/physrevlett.124.082301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 11/29/2019] [Accepted: 01/22/2020] [Indexed: 06/10/2023]
Abstract
The elliptic flow of muons from the decay of charm and bottom hadrons is measured in pp collisions at sqrt[s]=13 TeV using a data sample with an integrated luminosity of 150 pb^{-1} recorded by the ATLAS detector at the LHC. The muons from heavy-flavor decay are separated from light-hadron decay muons using momentum imbalance between the tracking and muon spectrometers. The heavy-flavor decay muons are further separated into those from charm decay and those from bottom decay using the distance-of-closest-approach to the collision vertex. The measurement is performed for muons in the transverse momentum range 4-7 GeV and pseudorapidity range |η|<2.4. A significant nonzero elliptic anisotropy coefficient v_{2} is observed for muons from charm decays, while the v_{2} value for muons from bottom decays is consistent with zero within uncertainties.
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Yuan X, Lan G, Li L, He H, Wang J, Hu S. Differential gene expression profiling of the goose pineal gland. Br Poult Sci 2020; 61:200-208. [PMID: 31830828 DOI: 10.1080/00071668.2019.1698014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
1. The present study was conducted to obtain a better understanding of the molecular mechanisms underlying broodiness in a commercial breed, Tianfu geese, as little is known about the role of the pineal gland in this period. The aim was to identify genes which are differentially expressed in the pineal gland between the laying and broodiness periods by performing a transcriptome screen.2. After sequencing cDNA derived from the pineal gland and annotation of the results, a sequencing depth of 14.82 and 18.17 million mapped tags was obtained during the laying and broodiness periods, respectively, and a total of 120 differentially expressed genes were identified. Of these, 32 genes showing up-regulated expression and 88 genes showing down-regulated expression were identified in broodiness period vs. laying period libraries.3. Gene ontology (GO) analyses showed that these genes were related to the visual process, phototransduction, and lipoprotein metabolism. Kyoto Encyclopaedia of Genes and Genome (KEGG) analyses showed that phototransduction and tryptophan metabolism pathways exhibited the largest enrichment factors. The reliability of the RNA sequence data was confirmed by quantitative real-time PCR analysis of five genes, and the results were mostly consistent with those from the high-throughput RNA sequencing.4. The goose transcriptome and the identification of differentially expressed genes provided comprehensive gene expression information that enables a better understanding of the molecular mechanisms underlying the broodiness period of geese.
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Hu S, Barzilla JE, Semones E. Acute radiation risk assessment and mitigation strategies in near future exploration spaceflights. LIFE SCIENCES IN SPACE RESEARCH 2020; 24:25-33. [PMID: 31987477 DOI: 10.1016/j.lssr.2019.10.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 10/24/2019] [Accepted: 10/25/2019] [Indexed: 06/10/2023]
Abstract
As more exploration spaceflights are planned to travel beyond the protective Earth magnetosphere to deep space destinations, acute health risks due to possible high radiation doses during severe Solar Particle Events (SPEs) are of greater concern to mission planners and management teams. It is expected that some degree of Acute Radiation Syndromes (ARS) symptoms may be observed, but the specific list of health risks that are relevant to exploration missions has been ambiguous and debatable in the past. This mini-review gives a brief summary of the features of radiation exposure if astronauts encounter severe SPEs beyond Low Earth Orbit (LEO), the evidence of ARS radiobiological studies at exposure levels close to recommended limits, and the shortcomings of previous dose projection approaches for ARS risk assessment. Some ARS biomathematical models, particularly those pertinent to the dose ranges that severe SPEs beyond LEO could generate, are reviewed and evaluated, focusing on their capability to predict the incidence of performance incapacitation and time-phased health effects with subsequent medical care recommendations. Using onboard active dosimeter input for estimating organ doses and likely clinical outcomes for SPEs in real time, a new strategy for ARS assessment and mitigation is described to cope with the potential threats of severe SPEs for planned deep space missions.
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Yasu Y, Yatsenko E, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Yuen SPY, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Zerwas D, Zgubič M, Zhang DF, Zhang F, Zhang G, Zhang G, Zhang H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang R, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Search for Magnetic Monopoles and Stable High-Electric-Charge Objects in 13 Tev Proton-Proton Collisions with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 124:031802. [PMID: 32031842 DOI: 10.1103/physrevlett.124.031802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 11/26/2019] [Indexed: 06/10/2023]
Abstract
A search for magnetic monopoles and high-electric-charge objects is presented using 34.4 fb^{-1} of 13 TeV pp collision data collected by the ATLAS detector at the LHC during 2015 and 2016. The considered signature is based upon high ionization in the transition radiation tracker of the inner detector associated with a pencil-shape energy deposit in the electromagnetic calorimeter. The data were collected by a dedicated trigger based on the tracker high-threshold hit capability. The results are interpreted in models of Drell-Yan pair production of stable particles with two spin hypotheses (0 and 1/2) and masses ranging from 200 to 4000 GeV. The search improves by approximately a factor of 5 the constraints on the direct production of magnetic monopoles carrying one or two Dirac magnetic charges and stable objects with electric charge in the range 20≤|z|≤60 and extends the charge range to 60<|z|≤100.
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Combined measurements of Higgs boson production and decay using up to
80 fb−1
of proton-proton collision data at
s=13 TeV
collected with the ATLAS experiment. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.101.012002] [Citation(s) in RCA: 178] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Platto S, Zhu Q, Guo A, He Q, Hu S, Valros A, Irwin A. Chinese farmers' attitude towards the improvement of animal welfare in their facilities. Anim Welf 2020. [DOI: 10.7120/09627286.29.1.099] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This study sought to investigate Chinese farmers' attitude towards animal welfare by using the Theory of Planned Behaviour (TPB). According to the TPB, an individual's intention to behave in a certain way is determined by his/her attitude towards the behaviour (specific attitude —
importance — and general attitudes), the perceived behavioural control (easiness), and the supposed opinion of the people who are important to him/her (subjective norms). A total of 253 questionnaires are used, which included the three main animal productions in chena (swine, poultry
and cattle). Chinese farmers have perceived the improvement of animal welfare as two abstracts: general attitudes (reward-seeking, and empathic farmer); and four specific categories of actions (favourable environment, animal health, humane treatment of animals and farmers' well-being). Our
analysis revealted that general and specific attitudes were the strongest predictors of farmers' intentions to improve animal welfare in the questionnaire study. In fact, Chinese farmers considered it fairly important to improve the animal welfare meaures considered in the survey. In contrast,
the same animal welfare measures were considered difficult to improve by the farmers as indicated by the lack of association between the easiness of improving animal welfare and the intentions. In addition, veterinarians, agricultural advisers, and scientific experts were considered to be
relatively influential subjective norms as regards the activities of the farmers. This is the first study to provide an insight into the underlying meanings and values of Chinese farmers views on improvements to animal welfare.
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