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| 1 | Methods for a blind analysis of isobar data collected by the STAR collaboration显示文摘In 2018,the STAR collaboration collected data from^(96)_(44)Ru+^(96)_(44)Ru and^(96)_(40)Zr+^(96)_(40)Zr at√^(S)NN=200 Ge V to search for the presence of the chiral magnetic effect in collisions of nuclei.The isobar collision species alternated frequently between 9644 Ru+^(96)_(44)Ru and^(96)_(40)Zr+^(96)_(40)Zr.In order to conduct blind analyses of studies related to the chiral magnetic effect in these isobar data,STAR developed a three-step blind analysis procedure.Analysts are initially provided a'reference sample'of data,comprised of a mix of events from the two species,the order of which respects time-dependent changes in run conditions.After tuning analysis codes and performing time-dependent quality assurance on the reference sample,analysts are provided a species-blind sample suitable for calculating efficiencies and corrections for individual≈30-min data-taking runs.For this sample,species-specific information is disguised,but individual output files contain data from a single isobar species.Only run-by-run corrections and code alteration subsequent to these corrections are allowed at this stage.Following these modifications,the'frozen'code is passed over the fully un-blind data,completing the blind analysis.As a check of the feasibility of the blind analysis procedure,analysts completed a'mock data challenge,'analyzing data from Au+Au collisions at√^(S)NN=27 Ge V,collected in 2018.The Au+Au data were prepared in the same manner intended for the isobar blind data.The details of the blind analysis procedure and results from the mock data challenge are presented. | J.Adam L.Adamczyk J.R.Adams J.K.Adkins G.Agakishiev M.M.Aggarwal Z.Ahammed I.Alekseev D.M.Anderson A.Aparin E.C.Aschenauer M.U.Ashraf F.G.Atetalla A.Attri G.S.Averichev V.Bairathi K.Barish A.Behera R.Bellwied A.Bhasin J.Bielcik J.Bielcikova L.C.Bland I.G.Bordyuzhin J.D.Brandenburg A.V.Brandin J.Butterworth H.Caines M.Calderon de la Barca Sanchez D.Cebra I.Chakaberia P.Chaloupka B.K.Chan F-H.Chang Z.Chang N.Chankova-Bunzarova A.Chatterjee D.Chen J.Chen J.H.Chen X.Chen Z.Chen J.Cheng M.Cherney M.Chevalier S.Choudhury W.Christie X.Chu H.J.Crawford M.Csanad M.Daugherity T.G.Dedovich I.M.Deppner A.A.Derevschikov L.Didenko X.Dong J.L.Drachenberg J.C.Dunlop T.Edmonds N.Elsey J.Engelage G.Eppley S.Esumi O.Evdokimov A.Ewigleben O.Eyser R.Fatemi S.Fazio P.Federic J.Fedorisin C.J.Feng Y.Feng P.Filip E.Finch Y.Fisyak A.Francisco L.Fulek C.A.Gagliardi T.Galatyuk F.Geurts A.Gibson K.Gopal X.Gou D.Grosnick W.Guryn A.I.Hamad A.Hamed S.Harabasz J.W.Harris S.He W.He X.H.He Y.He S.Heppelmann S.Heppelmann N.Herrmann E.Hoffman L.Holub Y.Hong S.Horvat Y.Hu H.Z.Huang S.L.Huang T.Huang X.Huang T.J.Humanic P.Huo G.Igo D.Isenhower W.W.Jacobs C.Jena A.Jentsch Y.Ji J.Jia K.Jiang S.Jowzaee X.Ju E.G.Judd S.Kabana M.L.Kabir S.Kagamaster D.Kalinkin K.Kang D.Kapukchyan K.Kauder H.W.Ke D.Keane A.Kechechyan M.Kelsey Y.V.Khyzhniak D.P.Kikoła C.Kim B.Kimelman D.Kincses T.A.Kinghorn I.Kisel A.Kiselev M.Kocan L.Kochenda L.K.Kosarzewski L.Kramarik P.Kravtsov K.Krueger N.Kulathunga Mudiyanselage L.Kumar S.Kumar R.Kunnawalkam Elayavalli J.H.Kwasizur R.Lacey S.Lan J.M.Landgraf J.Lauret A.Lebedev R.Lednicky J.H.Lee Y.H.Leung C.Li C.Li W.Li W.Li X.Li Y.Li Y.Liang R.Licenik T.Lin Y.Lin M.A.Lisa F.Liu H.Liu P.Liu P.Liu T.Liu X.Liu Y.Liu Z.Liu T.Ljubicic W.J.Llope R.S.Longacre N.S.Lukow S.Luo X.Luo G.L.Ma L.Ma R.Ma Y.G.Ma N.Magdy R.Majka D.Mallick S.Margetis C.Markert H.S.Matis J.A.Mazer N.G.Minaev S.Mioduszewski B.Mohanty I.Mooney Z.Moravcova D.A.Morozov M.Nagy J.D.Nam Md.Nasim K.Nayak D.Neff J.M.Nelson D.B.Nemes M.Nie G.Nigmatkulov T.Niida L.V.Nogach T.Nonaka A.S.Nunes G.Odyniec A.Ogawa S.Oh V.A.Okorokov B.S.Page R.Pak A.Pandav Y.Panebratsev B.Pawlik D.Pawlowska H.Pei C.Perkins L.Pinsky R.L.Pinter J.Pluta J.Porter M.Posik N.K.Pruthi M.Przybycien J.Putschke H.Qiu A.Quintero S.K.Radhakrishnan S.Ramachandran R.L.Ray R.Reed H.G.Ritter O.V.Rogachevskiy J.L.Romero L.Ruan J.Rusnak N.R.Sahoo H.Sako S.Salur J.Sandweiss S.Sato W.B.Schmidke N.Schmitz B.R.Schweid F.Seck J.Seger M.Sergeeva R.Seto P.Seyboth N.Shah E.Shahaliev P.V.Shanmuganathan M.Shao A.I.Sheikh W.Q.Shen S.S.Shi Y.Shi Q.Y.Shou E.P.Sichtermann R.Sikora M.Simko J.Singh S.Singha N.Smirnov W.Solyst P.Sorensen H.M.Spinka B.Srivastava T.D.S.Stanislaus M.Stefaniak D.J.Stewart M.Strikhanov B.Stringfellow A.A.P.Suaide M.Sumbera B.Summa X.M.Sun X.Sun Y.Sun Y.Sun B.Surrow D.N.Svirida P.Szymanski A.H.Tang Z.Tang A.Taranenko T.Tarnowsky J.H.Thomas A.R.Timmins D.Tlusty M.Tokarev C.A.Tomkiel S.Trentalange R.E.Tribble P.Tribedy S.K.Tripathy O.D.Tsai Z.Tu T.Ullrich D.G.Underwood I.Upsal G.Van Buren J.Vanek A.N.Vasiliev I.Vassiliev F.Videbæk S.Vokal S.A.Voloshin F.Wang G.Wang J.S.Wang P.Wang Y.Wang Y.Wang Z.Wang J.C.Webb P.C.Weidenkaff L.Wen G.D.Westfall H.Wieman S.W.Wissink R.Witt Y.Wu Z.G.Xiao G.Xie W.Xie H.Xu N.Xu Q.H.Xu Y.F.Xu Y.Xu Z.Xu Z.Xu C.Yang Q.Yang S.Yang Y.Yang Z.Yang Z.Ye Z.Ye L.Yi K.Yip Y.Yu H.Zbroszczyk W.Zha C.Zhang D.Zhang S.Zhang S.Zhang X.P.Zhang Y.Zhang Y.Zhang Z.J.Zhang Z.Zhang Z.Zhang J.Zhao C.Zhong C.Zhou X.Zhu Z.Zhu M.Zurek M.Zyzak STAR Collaboration Abilene | 2021 | Nuclear Science and Techniques2021，32，5： | 3 |
| 2 | Comparison of ultrasound-measured properties of the common carotid artery to tobacco smoke exposure in a cohort of Indonesian patients显示文摘BACKGROUND: The purpose of this study was to use point-of-care ultrasound(POCUS) to investigate the relationship between tobacco smoke exposure and the characteristics of the common carotid artery(CCA). The effect of both primary and secondary smoking on CCA properties was evaluated.METHODS: We performed a prospective cross-sectional study across 20 primary care clinics in Bandung, West Java, Indonesia in July 2016. Point of care ultrasound was performed on a convenience sample of Indonesian patients presenting to clinic. The CCA wall stiffness and carotid intima-media thickness(CIMT) were measured during diastole and systole. These measurements were correlated with smoke exposure and cardiovascular disease.RESULTS: We enrolled 663 patients in the study, with 426 patients enrolled in the smoking category and 237 patients enrolled in the second-hand smoke category. There was an overall positive correlation with the measured lifestyle factors and the ultrasound-measured variables in the group of individuals who smoked. For all variables, age seemed to contribute the most out of all of the lifestyle factors for the positive changes in CIMT and CCA wall stiffness.CONCLUSION: Our data yielded correlations between CCA properties and cardiovascular risk, as well as between CIMT and arterial stiffness. We were also able to demonstrate an increase in thickness of the CIMT in patients who have been exposed by tobacco through the use of ultrasound. Further large scale studies comparing patients with multiple cardiac risk factors need to be performed to confi rm the utility of ultrasound fi ndings of cardiovascular disease and stroke. | Allen R.Yu Bima Hasjim Luke E.Yu Christopher Gabriel Alexander Anshus Jonathan B.Lee Michael J. Louthan Esther C.Kim Katrina Lee Christina Tse Thomas Keown Shadi Lahham Maili Alvarado Steven Bunch Abdulatif Gari J.Christian Fox | 2017 | World Journal of Emergency Medicine2017，8，3： | 2 |
| 3 | Measurement of copy number variation in single cancer cells using rapid-emulsification digital droplet MDA显示文摘Uniform amplification of low-input DNA is important for applications across biology,including single-cell genomics,forensic science,and microbial and viral sequencing.However,the requisite biochemical amplification methods are prone to bias,skewing sequence proportions and obscuring signals relating to copy number.Digital droplet multiple displacement amplification enables uniform amplification but requires expert knowledge of microfluidics to generate monodisperse emulsions.In addition,existing microfluidic methods are tedious and labor intensive for preparing many samples.Here,we introduce rapid-emulsification multiple displacement amplification,a method to generate monodisperse droplets with a hand-held syringe and hierarchical droplet splitter.Although conventional microfluidic devices require >10 min to emulsify a sample,our system requires tens of seconds and yields data of equivalent quality.We demonstrate the approach by using it to accurately measure copy number variation(CNV)in single cancer cells. | Samuel C.Kim Gayatri Premasekharan Iain C.Clark Hawi B.Gemeda Pamela L.Paris Adam R.Abate | 2017 | Microsystems & Nanoengineering2017，3，1： | 2 |
| 4 | Measurement of away-side broadening with self-subtraction of flow in Au+Au collisions at √sNN=200 GeV显示文摘High transverse momentum(pT)particle production is suppressed owing to the parton(jet)energy loss in the hot dense medium created in relativistic heavy-ion collisions.Redistribution of energy at low-to-modest pT has been difficult to measure,owing to large anisotropic backgrounds.We report a data-driven method for background evaluation and subtraction,exploiting the away-side pseudorapidity gaps,to measure the jetlike correlation shape in Au+Au collisions at √sNN=200 GeV in the STAR experiment.The correlation shapes,for trigger particles pT>3GeV/c and various associated particle pT ranges within 0.5 | L.Adamczyk J.R.Adams J.K.Adkins G.Agakishiev M.M.Aggarwal Z.Ahammed I.Alekseev D.M.Anderson A.Aparin E.C.Aschenauer M.U.Ashraf F.G.Atetalla A.Attri G.S.Averichev V.Bairathi K.Barish A.Behera R.Bellwied A.Bhasin J.Bielcik J.Bielcikova L.C.Bland I.G.Bordyuzhin J.D.Brandenburg A.V.Brandin J.Butterworth H.Caines M.Calderón de la Barca Sánchez D.Cebra I.Chakaberia P.Chaloupka B.K.Chan F-H.Chang Z.Chang N.Chankova-Bunzarova A.Chatterjee D.Chen J.H.Chen X.Chen Z.Chen J.Cheng M.Cherney M.Chevalier S.Choudhury W.Christie X.Chu H.J.Crawford M.Csanád M.Daugherity T.G.Dedovich I.M.Deppner A.A.Derevschikov L.Didenko X.Dong J.L.Drachenberg J.C.Dunlop T.Edmonds N.Elsey J.Engelage G.Eppley S.Esumi O.Evdokimov A.Ewigleben O.Eyser R.Fatemi S.Fazio P.Federic J.Fedorisin C.J.Feng Y.Feng P.Filip E.Finch Y.Fisyak A.Francisco L.Fulek C.A.Gagliardi T.Galatyuk F.Geurts A.Gibson K.Gopal D.Grosnick W.Guryn A.I.Hamad A.Hamed S.Harabasz J.W.Harris S.He W.He X.H.He S.Heppelmann S.Heppelmann N.Herrmann E.Hoffman L.Holub Y.Hong S.Horvat Y.Hu H.Z.Huang S.L.Huang T.Huang X.Huang T.J.Humanic P.Huo G.Igo D.Isenhower W.W.Jacobs C.Jena A.Jentsch Y.JI J.Jia K.Jiang S.Jowzaee X.Ju E.G.Judd S.Kabana M.L.Kabir S.Kagamaster D.Kalinkin K.Kang D.Kapukchyan K.Kauder H.W.Ke D.Keane A.Kechechyan M.Kelsey Y.V.Khyzhniak D.P.Kikoła C.Kim B.Kimelman D.Kincses T.A.Kinghorn I.Kisel A.Kiselev M.Kocan L.Kochenda L.K.Kosarzewski L.Kramarik P.Kravtsov K.Krueger N.Kulathunga Mudiyanselage L.Kumar S.Kumar R.Kunnawalkam Elayavalli J.H.Kwasizur R.Lacey S.Lan J.M.Landgraf J.Lauret A.Lebedev R.Lednicky J.H.Lee Y.H.Leung C.Li W.Li W.Li X.Li Y.Li Y.Liang R.Licenik T.Lin Y.Lin M.A.Lisa F.Liu H.Liu P.Liu P.Liu T.Liu X.Liu Y.Liu Z.Liu T.Ljubicic W.J.Llope R.S.Longacre N.S.Lukow S.Luo X.Luo G.L.Ma L.Ma R.Ma Y.G.Ma N.Magdy R.Majka D.Mallick S.Margetis C.Markert H.S.Matis J.A.Mazer N.G.Minaev S.Mioduszewski B.Mohanty I.Mooney Z.Moravcova D.A.Morozov M.Nagy J.D.Nam Nasim Md K.Nayak D.Neff J.M.Nelson D.B.Nemes M.Nie G.Nigmatkulov T.Niida L.V.Nogach T.Nonaka A.S.Nunes G.Odyniec A.Ogawa S.Oh V.A.Okorokov B.S.Page R.Pak A.Pandav Y.Panebratsev B.Pawlik D.Pawlowska H.Pei C.Perkins L.Pinsky R.L.Pintér J.Pluta J.Porter M.Posik N.K.Pruthi M.Przybycien J.Putschke H.Qiu A.Quintero S.K.Radhakrishnan S.Ramachandran R.L.Ray R.Reed H.G.Ritter O.V.Rogachevskiy J.L.Romero L.Ruan J.Rusnak N.R.Sahoo H.Sako S.Salur J.Sandweiss S.Sato W.B.Schmidke N.Schmitz B.R.Schweid F.Seck J.Seger M.Sergeeva R.Seto P.Seyboth N.Shah E.Shahaliev P.V.Shanmuganathan M.Shao A.I.Sheikh F.Shen W.Q.Shen S.S.Shi Q.Y.Shou E.P.Sichtermann R.Sikora M.Simko J.Singh S.Singha N.Smirnov W.Solyst P.Sorensen H.M.Spinka B.Srivastava T.D.S.Stanislaus M.Stefaniak D.J.Stewart M.Strikhanov B.Stringfellow A.A.P.Suaide M.Sumbera B.Summa X.M.Sun X.Sun Y.Sun Y.Sun B.Surrow D.N.Svirida P.Szymanski A.H.Tang Z.Tang A.Taranenko T.Tarnowsky J.H.Thomas A.R.Timmins D.Tlusty M.Tokarev C.A.Tomkiel S.Trentalange R.E.Tribble P.Tribedy S.K.Tripathy O.D.Tsai Z.Tu T.Ullrich D.G.Underwood I.Upsal G.Van Buren J.Vanek A.N.Vasiliev I.Vassiliev F.Videbæk S.Vokal S.A.Voloshin F.Wang G.Wang J.S.Wang P.Wang Y.Wang Y.Wang Z.Wang J.C.Webb P.C.Weidenkaff L.Wen G.D.Westfall H.Wieman S.W.Wissink R.Witt Y.Wu Z.G.Xiao G.Xie W.Xie H.Xu N.Xu Q.H.Xu Y.F.Xu Y.Xu Z.Xu Z.Xu C.Yang Q.Yang S.Yang Y.Yang Z.Yang Z.Ye Z.Ye L.Yi K.Yip H.Zbroszczyk W.Zha C.Zhang D.Zhang S.Zhang S.Zhang X.P.Zhang Y.Zhang Y.Zhang Z.J.Zhang Z.Zhang Z.Zhang J.Zhao C.Zhong C.Zhou X.Zhu Z.Zhu M.Zurek M.Zyzak | 2020 | Chinese Physics C2020，44，10： | 2 |
| 5 | 查看详情显示文摘 | S.Paek H.Choi C.Kim N.Cho S.So K.Song M.K.Nazeeruddin J.Ko | | 0，，： | 1 |
| 6 | Enhanced degradation and toxicity reduction of dihexyl phthalate by Fusarium oxysporum f. sp. pisi cutinase显示文摘 | Y.‐H.Kim H.‐S.Seo J.Min Y.‐C.Kim Y.‐H.Ban K.Y.Han J.‐S.Park K.‐D.Bae M.B.Gu J.Lee | 2006 | Journal of Applied Microbiology2006，，1： | 1 |
| 7 | 查看详情显示文摘 | C.Jo C.Kim Y.H.Lee | | 0，，03： | 1 |
| 8 | Interface properties of InSb MIS structures显示文摘 | James C.Kim | | 0，，04： | 1 |
| 9 | The serum ferritin level is an important predictor of hemorrhagic transformation in acute ischaemic stroke显示文摘 | K.‐H.Choi M.‐S.Park J.‐T.Kim T.‐S.Nam S.‐M.Choi B.‐C.Kim M.‐K.Kim K.‐H.Cho | 2012 | European Journal of Neurology2012，，4： | 1 |
| 10 | Audit office size,audit quality,and audit pricing显示文摘 | Choi J C.Kim J.Kim Y.Zang | | 0，，： | 1 |
| 11 | ImproveCareNow: The development of a pediatric inflammatory bowel disease improvement network显示文摘 | WallaceCrandall Michael D.Kappelman Richard B.Colletti IanLeibowitz John E.Grunow SabinaAli Howard I.Baron James H.Berman BrendanBoyle StanleyCohen Fernandodel Rosario Lee A.Denson LynnDuffy Mark J.Integlia Sandra C.Kim DavidMilov Ashish S.Patel Bess T.Sc | 2010 | Inflamm Bowel Dis2010，，1： | 1 |
| 12 | Short pediatric Crohn’s disease activity index for quality improvement and observational research显示文摘 | Michael D.Kappelman Wallace V.Crandall Richard B.Colletti AnthonyGoudie Ian H.Leibowitz LynnDuffy David E.Milov Sandra C.Kim Bess T.Schoen Ashish S.Patel JohnGrunow EvetteLarry GerryFairbrother PeterMargolis | 2010 | Inflamm Bowel Dis2010，，1： | 1 |
| 13 | Fabrication of electrospinning-derived carbon nanofiber webs for the anode material of lithium-ion secondary batteries显示文摘 | C.Kim K.S.Yang M.Kojima K.Yoshida Y.J.Kim Y.A.Kim and M.Endo | | 0，，18： | 1 |
| 14 | 混合偏移:一种费用合理的3-D深度成像法显示文摘地面地震资料转换成地下图像的过程可被分成两部分:聚焦和定位。聚焦与保证来自不同炮检距的数据对同一同相轴有相长贡献有关。定位是指把聚焦同相轴转换成和所给的速度模型一致的深度图像。在叠前深度偏移里,两种运算可同时完成。然而,对于3-D资料来说,费用是可观的。叠前时间偏移更经济而且聚焦同相轴即使在中等速度变化情况下也很好,但有错误定位问题。混合偏移是一种费用合理的深度成像法,其使用叠前深度偏移来聚焦;使用反偏移来消除定位误差;并使用叠后深度偏移来恰当地定位。当横向速度变化是中等时,混合法能产生一个与速度场一致的深度图像。对于非常复杂的构造来说,它需要叠前深度偏移,混合法可以被用来建立一个初始速度模型,因此这将减少建立速度模型时的迭代次数。 | Young C.Kim 苟晓菊 | 1998 | 国外油气勘探1998，10，3： | 1 |
| 15 | Heme oxygenase‐1 protects human periodontal ligament cells against substance?P‐induced RANKL expression显示文摘 | H.‐J.Lee G.‐S.Jeong S.‐H.Pi S.‐I.Lee W.‐J.Bae S.‐J.Kim S.‐K.Lee E.‐C.Kim | 2010 | Journal of Periodontal Research2010，，3： | 1 |
| 16 | Guidelines on the use of therapeutic apheresis in clinical practice—Evidence‐based approach from the apheresis applications committee of the American Society for Apheresis显示文摘 | Zbigniew M.Szczepiorkowski Jeffrey L.Winters NicholasBandarenko Haewon C.Kim Michael L.Linenberger Marisa B.Marques RavindraSarode JosephSchwartz RobertWeinstein Beth H.Shaz | 2010 | J. Clin. Apheresis2010，，： | 1 |
| 17 | 先进稀薄氮氧化物控制的超稳定后处理系统的开发显示文摘选择性催化还原(SCR)催化剂与柴油颗粒过滤器(SDPF)的集成可能是满足即将出台的严格排放法规的最可行方法之一。菱沸石结构催化剂SSZ-13使得尿素SCR技术可广泛应用于汽车领域,与热稳定性较低的ZSM-5技术相比,其具有高达750℃的强大热稳定性。然而,随着850℃老化时间增加,热稳定性较好的Cu-SSZ-13催化剂开始失去其初始活性,SDPF上的SCR催化剂可能在下降到怠速(DTI)条件下,当过滤器再生时暴露出来。因此,在汽车制造中强烈需要在更高温度下可存活、更耐用的SCR催化剂。最近研究发现,铜置换高二氧化硅(LTA)显示出优异的水热稳定性,有望成为能在下一代SDPF上应用的高品质候选材料,从而满足更严格的实际驾驶排放要求。900℃下水热老化12h后,在整个反应温度下,Cu/LTA催化剂上的氮氧化物(NOx)还原优于目前最高水平的Cu/SSZ-13商业催化剂。此外,由于NH3向NO的低氧化过程,Cu/LTA催化剂在620℃下贫/富循环老化后仍可以保持显著的高温NOx转化率。与Cu/SSZ-13相比,Cu/LTA在水热老化后具有更稳定的NH3存储能力,将为集成在车载尿素喷射控制以获得最大系统性能提供额外的益处。介绍了模拟动态全球统一轻型车辆测试循环模式下Cu/LTA催化剂的性能,这些增强功能将有助于在实际驾驶条件下改进未来的稀薄NOx后处理系统。 | 闫红梅(译) | 2020 | 汽车与新动力2020，3，2： | 0 |
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