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Research on Driver’s Fatigue Detection Based on Information Fusion

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Computers, Materials & Continua 2024年第4期79卷 1039-1061页

作者： Meiyan Zhang Boqi Zhao Jipu Li qisong Wang Dan Liu Jinwei sun Jingxiao liao Harbin Institute of Technology School of Instrument Science and EngineeringHarbin150036China Department of Industrial and systems Engineering The Hong Kong Polytechnic UniversityHong Kong100872China

Driving fatigue is a physiological phenomenon that often occurs during *** the driver enters a fatigued state,the attentionis lax,the response is slow,and the ability todeal with emergencies is significantly reduced,which can easily cause traffic ***,studying driver fatigue detectionmethods is significant in ensuring safe ***,the fatigue state of actual drivers is easily interfered with by the external environment(glasses and light),which leads to many problems,such as weak reliability of fatigue driving ***,fatigue is a slow process,first manifested in physiological signals and then reflected in human face *** improve the accuracy and stability of fatigue detection,this paper proposed a driver fatigue detection method based on image information and physiological information,designed a fatigue driving detection device,built a simulation driving experiment platform,and collected facial as well as physiological information of drivers during ***,the effectiveness of the fatigue detection method was *** movement feature parameters and physiological signal features of drivers’fatigue levels were *** driver fatigue detection model was trained to classify fatigue and non-fatigue states based on the extracted *** rates of the image,electroencephalogram(EEG),and blood oxygen signals were 86%,82%,and 71%,*** fusion theory was presented to facilitate the fatigue detection effect;the fatigue features were fused using multiple kernel learning and typical correlation analysis methods to increase the detection accuracy to 94%.It can be seen that the fatigue driving detectionmethod based onmulti-source feature fusion effectively detected driver fatigue state,and the accuracy rate was higher than that of a single information *** summary,fatigue drivingmonitoring has broad development prospects and can be used in traffic accident prevention and wearable dr

关键词： Driving fatigue information fusion EEG blood oxygen

Association between inflammatory bowel disease and all-cause dementia:A two-sample Mendelian randomization study

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World Journal of Psychiatry 2024年第1期14卷 15-25页

作者： Ou-Lan liao si-Yuan Xie Jun Ye qin Du Guo-Chun Lou Department of Gastroenterology The Second Affiliated HospitalZhejiang University School of MedicineHangzhou 310009Zhejiang ProvinceChina Department of Gastroenterology The Fourth Affiliated HospitalZhejiang University School of MedicineYiwu 322000Zhejiang ProvinceChina

BACKGROUND Numerous observational studies have documented a correlation between inflammatory bowel disease(IBD)and an increased risk of ***,the causality of their associations remains *** To assess the causal relationship between IBD and the occurrence of all-cause dementia using the two-sample Mendelian randomization(MR)*** Genetic variants extracted from the large genome-wide association study(GWAs)for IBD(the International IBD Genetics Consortium,n=34652)were used to identify the causal link between IBD and dementia(FinnGen,n=306102).The results of the study were validated via another IBD GWAs(United Kingdom Biobank,n=463372).Moreover,MR egger intercept,MR pleiotropy residual sum and outlier,and Cochran's q test were employed to evaluate pleiotropy and ***,multiple MR methods were performed to estimate the effects of genetically predicted IBD on dementia,with the inverse variance weighted approach adopted as the primary *** The results of the pleiotropy and heterogeneity tests revealed an absence of significant pleiotropic effects or heterogeneity across all genetic variants in outcome *** evidence of a causal effect between IBD and the risk of dementia was identified in the inverse variance weighted[odds ratio(OR)=0.980,95%CI:0.942-1.020,P value=0.325],weighted median(OR=0.964,95%CI:0.914-1.017,P value=0.180),and MR-Egger(OR=0.963,95%CI:0.867-1.070,P value=0.492)*** results were observed in validation *** MR analysis also showed no effect of dementia on the development of ***,MR analysis suggested that IBD and its subtypes did not causally affect allcause dementia and its four subtypes,including dementia in Alzheimer's disease,vascular dementia,dementia in other diseases classified elsewhere,and unspecified *** Taken together,our MR study signaled that IBD and its subentities were not genetically associated with all-cause dementia or its

关键词： Inflammatory bowel disease All-cause dementia Mendelian randomization Causal effect Risk factor©The

Continued evolution of H10N3 influenza virus with adaptive mutations poses an increased threat to mammals

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Virologica sinica 2024年第4期39卷 546-555页

作者： shiping Ding Jiangtao Zhou Junlong Xiong Xiaowen Du Wenzhuo Yang Jinyu Huang Yi Liu Lihong Huang Ming liao Jiahao Zhang Wenbao qi state Key Laboratory for Animal Disease Control and Prevention South China Agricultural UniversityGuangzhou510642China National Avian Influenza Para-Reference Laboratory Guangzhou510642China Key Laboratory of Zoonoses Ministry of Agriculture and Rural AffairsGuangzhou510642China National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control Guangzhou510642China Key Laboratory of Zoonoses Prevention and Control of Guangdong Province Guangzhou510642China state Key Laboratory of Agricultural Microbiology College of Veterinary MedicineHuazhong Agricultural UniversityWuhan430070China College of Animal science and Technology Zhongkai University of Agriculture and EngineeringGuangzhou510550China

The H10 subtype avian influenza virus(AIV)poses an ongoing threat to both birds and ***,fatal human cases of H10N3 and H10N8 infections have drawn public *** 2022,we isolated two H10N3 viruses(A/chicken/shandong/0101/2022 and A/chicken/shandong/0603/2022)from diseased chickens in *** analysis revealed that these viruses were genetically associated with human-origin H10N3 virus,with internal genes originating from local H9N2 *** to the H10N8 virus(A/chicken/Jiangxi/102/2013),the H10N3 viruses exhibited enhanced thermostability,increased viral release from erythrocytes,and accumulation of hemagglutinin(HA)***,we evaluated the pathogenicity of both H10N3 and H10N8 viruses in *** found that viral titers could be detected in the lungs and nasal turbinates of mice infected with the two H10N3 viruses,whereas H10N8 virus titers were detectable in the lungs and brains of ***,the proportion of double HA q222R and G228s mutations in H10N3 viruses has increased since ***,the functional roles of the q222R and G228s double mutations in the HA gene of H10N3 viruses remain unknown and warrant further *** study highlights the potential public health risk posed by the H10N3 virus.A spillover event of AIV to humans could be a foretaste of a looming ***,it is imperative to continuously monitor the evolution of the H10N3 influenza virus to ensure targeted prevention and control measures against influenza outbreaks.

关键词： Avian influenza virus(AIV) H10N3 Evolution Pathogenicity

Cath-KP,a novel peptide derived from frog skin,prevents oxidative stress damage in a Parkinson’s disease model

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Zoological Research 2024年第1期45卷 108-124页

作者： Huanpeng Lu Jinwei Chai Zijian Xu Jiena Wu songzhe He Hang liao Peng Huang Xiaowen Huang Xi Chen Haishan Jiang shaogang qu Xueqing Xu Department of Neurology Nanfang HospitalSouthern Medical UniversityGuangzhouGuangdong 510515China Guangdong Provincial Key Laboratory of New Drug screening School of Pharmaceutical SciencesSouthern Medical UniversityGuangzhouGuangdong 510515China Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain science and Brain-Inspired Intelligence GuangzhouGuangdong 510515China Key Laboratory of Mental Health of the Ministry of Education Southern Medical UniversityGuangzhouGuangdong 510515China Department of Dermatology Nanfang HospitalSouthern Medical UniversityGuangzhouGuangdong 510515China Department of Neurology Ganzhou Hospital-Nanfang HospitalSouthern Medical UniversityGanzhouJiangxi 341001China

Parkinson’s disease(PD)is a neurodegenerative condition that results in dyskinesia,with oxidative stress playing a pivotal role in its *** peptides may thus present therapeutic potential for *** this study,a novel cathelicidin peptide(Cath-KP;GCsGRFCNLF NNRRPGRLTLIHRPGGDKRTsTGLIYV)was identified from the skin of the Asiatic painted frog(Kaloula pulchra).structural analysis using circular dichroism and homology modeling revealed a uniqueαββconformation for *** vitro experiments,including free radical scavenging and ferric-reducing antioxidant analyses,confirmed its antioxidant *** the 1-methyl-4-phenylpyridinium ion(MPP^(+))-induced dopamine cell line and 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced PD mice,Cath-KP was found to penetrate cells and reach deep brain tissues,resulting in improved MPP^(+)-induced cell viability and reduced oxidative stress-induced damage by promoting antioxidant enzyme expression and alleviating mitochondrial and intracellular reactive oxygen species accumulation through sirtuin-1(sirt1)/Nuclear factor erythroid 2-related factor 2(Nrf2)pathway *** focal adhesion kinase(FAK)and p38 were also identified as regulatory *** the MPTP-induced PD mice,Cath-KP administration increased the number of tyrosine hydroxylase(TH)-positive neurons,restored TH content,and ameliorated *** the best of our knowledge,this study is the first to report on a cathelicidin peptide demonstrating potent antioxidant and neuroprotective properties in a PD model by targeting oxidative *** findings expand the known functions of cathelicidins,and hold promise for the development of therapeutic agents for PD.

关键词： Cath-KP Peptide Parkinson’s disease Oxidative stress Neuroprotection

sTCF conceptual design report (Volume 1): Physics & detector

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Frontiers of physics 2024年第1期19卷 1-154页

作者： M.Achasov X.C.Ai L.P.An R.Aliberti q.An X.Z.Bai Y.Bai O.Bakina A.Barnyakov V.Blinov V.Bobrovnikov D.Bodrov A.Bogomyagkov A.Bondar I.Boyko Z.H.Bu F.M.Cai H.Cai J.J.Cao q.H.Cao X.Cao Z.Cao q.Chang K.T.Chao D.Y.Chen H.Chen H.X.Chen J.F.Chen K.Chen L.L.Chen P.Chen s.L.Chen s.M.Chen s.Chen s.P.Chen W.Chen X.Chen X.F.Chen X.R.Chen Y.Chen Y.q.Chen H.Y.Cheng J.Cheng s.Cheng T.G.Cheng J.P.Dai L.Y.Dai X.C.Dai D.Dedovich A.Denig I.Denisenko J.M.Dias D.Z.Ding L.Y.Dong W.H.Dong V.Druzhinin D.s.Du Y.J.Du Z.G.Du L.M.Duan D.Epifanov Y.L.Fan s.s.Fang Z.J.Fang G.Fedotovich C.q.Feng X.Feng Y.T.Feng J.L.Fu J.Gao Y.N.Gao P.s.Ge C.q.Geng L.s.Geng A.Gilman L.Gong T.Gong B.Gou W.Gradl J.L.Gu A.Guevara L.C.Gui A.q.Guo F.K.Guo J.C.Guo J.Guo Y.P.Guo Z.H.Guo A.Guskov K.L.Han L.Han M.Han X.q.Hao J.B.He s.q.He X.G.He Y.L.He Z.B.He Z.X.Heng B.L.Hou T.J.Hou Y.R.Hou C.Y.Hu H.M.Hu K.Hu R.J.Hu W.H.Hu X.H.Hu Y.C.Hu J.Hua G.s.Huang J.s.Huang M.Huang q.Y.Huang W.q.Huang X.T.Huang X.J.Huang Y.B.Huang Y.s.Huang N.Hüsken V.Ivanov q.P.Ji J.J.Jia s.Jia Z.K.Jia H.B.Jiang J.Jiang s.Z.Jiang J.B.Jiao Z.Jiao H.J.Jing X.L.Kang X.s.Kang B.C.Ke M.Kenzie A.Khoukaz I.Koop E.Kravchenko A.Kuzmin Y.Lei E.Levichev C.H.Li C.Li D.Y.Li F.Li G.Li G.Li H.B.Li H.Li H.N.Li H.J.Li H.L.Li J.M.Li J.Li L.Li L.Li L.Y.Li N.Li P.R.Li R.H.Li s.Li T.Li W.J.Li X.Li X.H.Li X.q.Li X.H.Li Y.Li Y.Y.Li Z.J.Li H.Liang J.H.Liang Y.T.Liang G.R.liao L.Z.liao Y.liao C.X.Lin D.X.Lin X.s.Lin B.J.Liu C.W.Liu D.Liu F.Liu G.M.Liu H.B.Liu J.Liu J.J.Liu J.B.Liu K.Liu K.Y.Liu K.Liu L.Liu q.Liu s.B.Liu T.Liu X.Liu Y.W.Liu Y.Liu Y.L.Liu Z.q.Liu Z.Y.Liu Z.W.Liu I.Logashenko Y.Long C.G.Lu J.X.Lu N.Lu q.F.Lü Y.Lu Y.Lu Z.Lu P.Lukin F.J.Luo T.Luo X.F.Luo Y.H.Luo H.J.Lyu X.R.Lyu J.P.Ma P.Ma Y.Ma Y.M.Ma F.Maas s.Malde D.Matvienko Z.X.Meng R.Mitchell A.Nefediev Y.Nefedov s.L.Olsen q.Ouyang P.Pakhlov G.Pakhlova X.Pan Y.Pan E.Passemar Y.P.Pei H.P.Peng L.Peng X.Y.Peng X.J.Peng K.Peters s.Pivovarov E.Pyata B.B.qi Y.q.qi W.B.qian Y.qian C.F.qiao J.J.qin J.J.qin L.q.qin X.s.qin T.L.qiu J.Rademacker C.F.Redmer H.Y.sang Anhui University Hefei 230039China Beihang University Beijing 100191China Budker Institute of Nuclear Physics Novosibirsk 630090Russia CAs Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China Cavendish Laboratory University of CambridgeJJ Thomson AveCambridge CB30HEUnited Kingdom Central China Normal University Wuhan 430079China Central south University Changsha 410083China China University of Geosciences Wuhan 430074China China University of Mining and Technology Xuzhou 221116China École Polytechnique Fédérale de Lausanne(EPFL) LausanneSwitzerland Fudan University Shanghai 200433China Goethe University Frankfurt D-60325 Frankfurt am MainGermany Guangxi Normal University Guilin 541004China Guangxi Uninversity Nanning 530004China Hangzhou Institute for Advanced study UCASHangzhou 310024China Hebei Normal University Shijiazhuang 050024China Hebei University Baoding 071002China Hefei University of Technology Hefei 230601China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China High Energy Physics Center Chung-Ang UniversitySeoul 06974Korea Higher school of Economy 11 Pokrovsky Bulvar Moscow 109028Russia Huangshan University Huangshan 245000China Hubei University of Automotive Technology Shiyan 442002China Hunan Normal University Changsha 410081China Hunan University of science and Technology Xiangtan 411201China Hunan University Changsha 410082China Indiana University BloomingtonIndiana 47405USA Inner Mongolia University Hohhot 010021China Institute of Advanced science Facilities Shenzhen 518107China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China Institute of Physics Academia SinicaTaipeiTaiwan 11529China Institute of Theoretical Physics Chinese Academy of SciencesBeijing 100190China Jilin University Changch

The superτ-charm facility(sTCF)is an electron–positron collider proposed by the Chinese particle physics *** is designed to operate in a center-of-mass energy range from 2 to 7 GeV with a peak luminosity of 0.5×10^(35) cm^(–2)·s^(–1) or *** sTCF will produce a data sample about a factor of 100 larger than that of the presentτ-charm factory—the BEPCII,providing a unique platform for exploring the asymmetry of matter-antimatter(charge-parity violation),in-depth studies of the internal structure of hadrons and the nature of non-perturbative strong interactions,as well as searching for exotic hadrons and physics beyond the standard *** sTCF project in China is under development with an extensive R&D *** document presents the physics opportunities at the sTCF,describes conceptual designs of the sTCF detector system,and discusses future plans for detector R&D and physics case studies.

关键词： electron–positron collider tau-charm region high luminosity sTCF detector conceptual design

MICROWAVE PERMEABILITY sPECTRA OF sPUTTERED Fe-Co-B sOFT MAGNETIC THIN FILMs

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Acta Metallurgica sinica(English Letters) 2008年第6期21卷 419-424页

作者： J.s. liao Z.K. Feng J. qiu Y. q. Tong Department of Electronic science and Technology Huazhong University of Science and Technology Wuhan 430074 China

Permeability characteristics of sputtered soft magnetic Fe40Co40B20 thin films are investigated in the range of O. 5 to 5 GHz by a shortened microstrip transmission line perturbation method. Excellent microwave permeability is achieved at 0.4 Pa argon pressure： fr is 3.32 GHz, the real and imaginary part of permeability at 0.5 GHz are 104 and 61, respectively. In addition, the thickness effect on permeability is also studied. The minimum damping can be achieved at the thinnest film. Different sources contributed to in-plane anisotropy are discussed briefly. The deviation between the peak frequency of the imaginary part and the zero-crossing frequency of the real part of permeability is also presented.

关键词： Fe-Co-B In-plane anisotropy Magnetic thin films Permeability

Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao s.A.Cetin J.F.Chang W.L.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.s.Chen M.L.Chen s.J.Chen s.L.Chen s.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.q.Chen Z.J.Chen Z.Y.Chen s.K.Choi X.Chu G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.q.Deng Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Fang s.s.Fang W.X.Fang Y.Fang Y.q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.q.Feng J.H.Feng Y.T.Feng K.Fischer M.Fritsch C.D.Fu J.L.Fu Y.W.Fu H.Gao Y.N.Gao Yang Gao s.Garbolino I.Garzia P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck B.Ding X.X.Ding Y.Ding Y.Ding J.Dong L.Y.Dong M.Y.Dong X.Dong M.C.Du s.X.Du Z.H.Duan P.Egorov Y.H.Fan J.Fang JA.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl s.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan Z.L.Guan A.q.Guo L.B.Guo M.J.Guo R.P.Guo Y.P.Guo A.Guskov J.Gutierrez K.L.Han T.T.Han X.q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou Z.L.Hou B.Y.Hu H.M.Hu J.F.Hu T.Hu Y.Hu G.s.Huang K.X.Huang L.q.Huang X.T.Huang Y.P.Huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad J.Jackson s.Janchiv J.H.Jeong q.Ji q.P.Ji W.Ji X.B.Ji X.L.Ji Y.Y.Ji X.q.Jia Z.K.Jia D.Jiang H.B.Jiang P.C.Jiang s.s.Jiang T.J.Jiang X.s.Jiang Y.Jiang J.B.Jiao J.K.Jiao Z.Jiao s.Jin Y.Jin M.q.Jing X.M.Jing T.Johansson s.Kabana N.Kalantar-Nayestanaki X.L.Kang X.s.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui A.Kupsc W.K\"uhn J.J.Lane P.Larin L.Lavezzi T.T.Lei Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.B.Li H.J.Li H.N.Li Hui Li J.R.Li J.s.Li K.Li L.J.Li L.K.Li Lei Li M.H.Li P.R.Li q.M.Li q.X.Li R.Li s.X.Li T.Li W.D.Li W.G.Li X.Li X.H.Li X.L.Li X.Y.Li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780 BochumGermany Budker Institute of Nuclear Physics sB RAs(BINP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central south University Changsha 410083China China Center of Advanced science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMsATs University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China GsI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China Henan University of science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN sezione di Ferrara University of FerraraI-44122FerraraItaly Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BEsIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(1260)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2(ππ)_(s)are observed in both *** the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

关键词： BEsIII D^(0)meson decays amplitude analysis CP-even fraction

GATIs score for predicting the prognosis of rectal neuroendocrine neoplasms:A Chinese multicenter study of 12-year experience

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World Journal of Gastroenterology 2024年第28期30卷 3403-3417页

作者： Xin-Yu Zeng Ming Zhong Guo-Le Lin Cheng-Guo Li Wei-Zhong Jiang Wei Zhang Li-Jian Xia Mao-Jun Di Hong-Xue Wu Xiao-Feng liao Yue-Ming sun Min-Hao Yu Kai-Xiong Tao Yong Li Rui Zhang Peng Zhang Department of Gastrointestinal surgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074Hubei ProvinceChina Department of Gastrointestinal surgery Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200127China Department of General surgery Peking Union Medical College HospitalPeking Union Medical CollegeBeijing 100730China Department of Colorectal surgery Fujian Medical UniversityFuzhou 350401Fujian ProvinceChina Department of Colorectal surgery Changhai HospitalShanghai 200433China Department of Gastrointestinal surgery The First Affiliated Hospital of Shandong First Medical UniversityJinan 250118Shandong ProvinceChina Department of Gastrointestinal surgery Taihe HospitalHubei University of MedicineShiyan 442099Hubei ProvinceChina Department of Gastrointestinal surgery I section Renmin Hospital of Wuhan UniversityWuhan 430060Hubei ProvinceChina Department of General surgery Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyang 441021Hubei ProvinceChina Department of Colorectal surgery Jiangsu Province HospitalNanjing Medical UniversityNanjing 210029Jiangsu ProvinceChina Department of Gastrointestinal surgery School of MedicineShanghai Jiao Tong UniversityShanghai 200127China Department of General surgery Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080Guangdong ProvinceChina Department of Colorectal surgery Liaoning Cancer HospitalShenyang 110042Liaoning ProvinceChina

BACKGROUND There is currently a shortage of accurate,efficient,and precise predictive instruments for rectal neuroendocrine neoplasms(NENs).AIM To develop a predictive model for individuals with rectal NENs(R-NENs)using data from a large *** Data from patients with primary R-NENs were retrospectively collected from 17 large-scale referral medical centers in *** forest and Cox proportional hazard models were used to identify the risk factors for overall survival and progression-free survival,and two nomograms were *** A total of 1408 patients with R-NENs were *** grade,T stage,tumor size,age,and a prognostic nutritional index were important risk factors for *** GATIs score was calculated based on these five *** overall survival prediction,the respective C-indexes in the training set were 0.915(95%confidence interval:0.866-0.964)for overall survival prediction and 0.908(95%confidence interval:0.872-0.944)for progression-free survival *** to decision curve analysis,net benefit of the GATIs score was higher than that of a single *** time-dependent area under the receiver operating characteristic curve showed that the predictive power of the GATIs score was higher than that of the TNM stage and pathological grade at all time *** The GATIs score had a good predictive effect on the prognosis of patients with R-NENs,with efficacy superior to that of the World Health Organization grade and TNM stage.

关键词： Rectal neuroendocrine neoplasm Nomogram Random forest Prognosis Overall survival Progression-free survival

心电图碎裂qRs波联合病理性q波在急性心肌梗死诊断中的效能

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中国民康医学 2024年第9期36卷 130-132页

作者：廖剑霖龙南市第一人民医院心血管内科江西赣州341700

目的:观察心电图碎裂qRs波联合病理性q波在急性心肌梗死(AMI)诊断中的效能。方法:选取2020年1月至2022年12月该院收治的200例冠心病患者进行横断面研究,均行心电图和冠状动脉造影检查,以冠状动脉造影检查结果为金标准。按照是否为AMI将... 详细信息

目的:观察心电图碎裂qRs波联合病理性q波在急性心肌梗死(AMI)诊断中的效能。方法:选取2020年1月至2022年12月该院收治的200例冠心病患者进行横断面研究,均行心电图和冠状动脉造影检查,以冠状动脉造影检查结果为金标准。按照是否为AMI将其分为AMI组(n=100)和非AMI组(n=100),比较两组心电图检查碎裂qRs波、病理性q波、碎裂qRs波+病理性q波检出率,分析心电图检查碎裂qRs波、病理性q波单项及联合检查诊断AMI的效能,并比较不同类型AMI碎裂qRs波检出率。结果:AMI组碎裂qRs波、病理性q波、碎裂qRs波+病理性q波检出率均高于非AMI组,差异有统计学意义(PqRs波、病理性q波联合诊断AMI的灵敏度高于二者单项诊断,差异有统计学意义(PsT段抬高型AMI碎裂qRs波检出率高于非sT段抬高型,差异有统计学意义(PqRs波联合病理性q波诊断AMI的效能高于二者单项诊断。

关键词：心电图碎裂qRs波病理性q波检查急性心肌梗死诊断效能