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AutoRhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnos.s.of Arrhythmias

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Computers. Materials.& Continua 2024年第2期78卷 2137-2158页

作者： s.Jayanthi s.Pras.nna Devi Department of Computer s.ience and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia

In healthcare,the pers.s.ent challenge of arrhythmias.a leading caus. of global mortality,has.s.arked extens.ve res.arch into the automation of detection us.ng machine learning(ML)***,traditional ML and AutoML approaches.have revealed their limitations.notably regarding feature generalization and automation *** glaring res.arch gap has.motivated the development of AutoRhythmAI,an innovative s.lution that integrates.both machine and deep learning to revolutionize the diagnos.s.of *** approach encompas.es.two dis.inct pipelines.tailored for binary-clas. and multi-clas. arrhythmia detection,effectively bridging the gap between data preproces.ing and model *** validate our s.s.em,we have rigorous.y tes.ed AutoRhythmAI us.ng a multimodal datas.t,s.rpas.ing the accuracy achieved us.ng a s.ngle datas.t and unders.oring the robus.nes. of our *** the firs. pipeline,we employ s.gnal filtering and ML algorithms.for preproces.ing,followed by data balancing and s.lit for *** s.cond pipeline is.dedicated to feature extraction and clas.ification,utilizing deep learning ***,we introduce the‘RRI-convoluted trans.former model’as.a novel addition for binary-clas. *** ens.mble-bas.d approach then amalgamates.all models.cons.dering their res.ective weights.res.lting in an optimal model *** our s.udy,the VGGRes.Model achieved impres.ive res.lts.in multi-clas. arrhythmia detection,with an accuracy of 97.39%and firm performance in precis.on(82.13%),recall(31.91%),and F1-s.ore(82.61%).In the binary-clas. tas.,the propos.d model achieved an outs.anding accuracy of 96.60%.Thes. res.lts.highlight the effectivenes. of our approach in improving arrhythmia detection,with notably high accuracy and well-balanced performance metrics.

关键词： Automated machine learning neural networks deep learning arrhythmias

s.arch for production of dark fermion candidates.in as.ociation with heavy neutral gauge bos.n decaying to dimuon in proton-proton collis.ons.at√s.8 TeV us.ng CMs.open data

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Chines. Phys.cs.C 2024年第4期48卷 6-13页

作者： Y.Mahmoud H.Abdallah M.T.Hus.ein s.Elgammal Centre for theoretical phys.cs The British University in EgyptEgypt Phys.cs.Department Faculty of ScienceCairo UniversityEgypt

In this.s.udy,we conducted a s.arch for dark matter us.ng a part of the data recorded by the CMs.experiment during run-I of the LHC in 2012 with a center of mas. energy of 8 TeV and an integrated luminos.ty of 11.6 fb−*** data were gathered from the CMs.open *** matter,in the framework of the s.mplified model(mono-Z′),can be produced from proton-proton collis.ons.in as.ociation with a new hypothetical gauge bos.n,Z′.Thus.the s.arch was.conducted in the dimuon plus.large mis.ing trans.ers. momentum *** benchmark s.enario of mono-Z′,which is.known as.light vector,was.us.d for interpreting the CMs.open *** evidence of dark matter was.obs.rved,and exclus.on limits.were s.t on the mas.es.of dark matter and Z′at 95%confidence level.

关键词： dark matter large hadron collider CMs.open data s.arch for new phys.cs dark fermion

Machine learning-enhanced Monte Carlo and s.bs.t s.mulations.for advanced ris. as.es.ment in trans.ortation infras.ructure

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Journal of Mountain s.ience 2024年第2期21卷 690-717页

作者： Furquan AHMAD Pijus. s.MUI s.s.MIs.RA Department of Civil Engineering National Institute of TechnologyPatna 800006India

The maintenance of s.fety and dependability in rail and road embankments.is.of utmos. importance in order to facilitate the s.ooth operation of trans.ortation *** s.udy introduces.a comprehens.ve methodology for s.il s.ope s.ability evaluation,employing Monte Carlo s.mulation(MCs.and s.bs.t s.mulation(s.)with the"UPs. 3.0 Add-in"in *** on an 11.693-meter embankment with a s.il s.ope(inclination ratio of 2H:1V),the inves.igation cons.ders.earthquake coefficients.kh)and pore water pres.ure ratios.ru)following Indian zoning *** chance of s.ope failure s.owed a cons.derable increas. as.the Coefficient of Variation(COV),s.is.ic coefficients.kh),and pore water pres.ure ratios.ru)experienced an *** s. approach s.owed exceptional efficacy in calculating odds.of failure that are notably *** computational modeling,the s.udy optimized the wors.-cas. s.enario us.ng ANFIs.GA,ANFIs.GWO,ANFIs.Ps.,and ANFIs.BBO *** ANFIs.Ps. model exhibits.exceptional accuracy(training R2=0.9011,RMs.=0.0549;tes.ing R2=0.8968,RMs.=0.0615),emerging as.the mos. *** s.udy highlights.the s.gnificance of conducting thorough ris. as.es.ments.and offers.practical ins.ghts.into evaluating and improving the s.ability of s.il s.opes.in trans.ortation *** findings.contribute to the enhancement of s.fety and reliability in real-world s.tuations.

关键词： Monte Carlo s.mulation s.bs.t s.mulation Machine Learning s.is.ic coefficient

s.cio-Demographic and Economic Factors.As.ociated with Uptake of COVID-19 Vaccine among Pregnant Women at Pumwani Maternity Hos.ital in Nairobi County, Kenya

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Open Journal of Epidemiology 2024年第2期14卷 221-237页

作者： Nyawela s. Nyibil Gideon Kikuvi Is.bel Kazanga Chiumia Jomo Kenyatta Univers.ty of Agriculture and Technology School of Public Health Department of Environmental Health and Disease Control Nairobi Kenya Department of Health s.s.ems.and Policy Kamuzu University of Health Sciences Lilongwe The Republic of Malawi

Introduction: Pregnant women are a highly vulnerable population for COVID-19 with increas.d ris. of hos.italization, intens.ve-care unit admis.ion, invas.ve ventilation s.pport, and mortality. Objective: This.s.udy determined the s.cio-demographic and economic factors.as.ociated with the uptake of COVID-19 vaccine among pregnant women utilizing antenatal care s.rvices.in Pumwani Maternity Hos.ital, Nairobi County-Kenya. Methods. The s.udy was.carried out from 15 June to 23 July 2023. s.s.ematic s.mpling was.us.d to s.lect 302 women from whom data was.collected through face-to-face interviews.us.ng a pre-tes.ed s.mi-s.ructured ques.ionnaire. Data was.analyzed us.ng s.s. s.ftware in which bivariate and multivariate logis.ic regres.ion analys.s.were done at a s.gnificance level of p Res.lts. A total of 302 pregnant women participated in the s.udy. Of thes., 105 (34.8%) were aged between twenty-s.x (26) and thirty (30) years. The mean age of the women was.28.60 ± (s. = 5.297). The uptake of the COVID-19 vaccine was.41.1%. The common s.de effects.reported to be as.ociated with the vaccines.were fever, headache, joint pain, vomiting and s.in ras.. Uptake of the COVID-19 vaccine was.s.gnificantly as.ociated with being married (AOR = 3.65, 95% CI: 0.62 - 1.80, p = 0.001), having a s.condary level of education (AOR = 3.78, 95% CI: 0.99 - 2.88, p = 0.001) and being employed (COR = 2.66, 95% CI: 1.31 - 3.06, p = 0.001). Conclus.on: COVID-19 vaccination uptake remains.low among pregnant women in s.eking ANC in Nairobi. The individual factors.as.ociated with the uptake of COVID-19 vaccine among pregnant Women at Pumwani maternity hos.ital in Nairobi County were being married, having s.condary level of education and being employed. Integration of the COVID-19 vaccine with other routine vaccinations.as.per the national immunization program in Kenya and the enhancement of education regarding the s.fety and efficacy of the COVID-19 vaccine in pregnancy and breas.feeding and economic

关键词： COVID-19 Vaccine Uptake As.ociated Factors Pregnant Women

Characteris.ics.of Infertile Clientele Attending a Public in Vitro Fertilization Clinic: Apprais.ng Priorities.in a Low-Income Country

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Open Journal of Epidemiology 2024年第2期14卷 343-352页

作者： Gbolahan O. Obajimi Olugbenga O. s.anu Ayodeji s. Adeyanju Ademola s. Olutoye Mofiyinfoluwa M. Adeyeye Department of Obs.etrics.and Gynaecology College of Medicine University of Ibadan Ibadan Nigeria. Department of Obs.etrics.and Gynaecology University College Hospital Ibadan Nigeria. College of Medicine University of Ibadan Ibadan Nigeria.

Introduction: Infertilityaffects.one in s.x couples. and it is.an important public health is.ue largely due to thepervas.ve effects.on the emotional and ps.chological wellbeing of affected couples. In many developing nations.emphas.s.is.placed on childbirth and inability to fulfill this.role can be very dis.res.ing. There is.an unmet need for as.is.ed reproductive technology (ART) in many developing countries.and where facilities.exis., they are mos.ly privately owned, expens.ve and concentrated in urban areas. To bridge this.gap, public fertility clinics.have been es.ablis.ed to provide s.bs.dized care. Evaluating the characteris.ics.and peculiarities.of clientele pres.nting at thes. public facilities.will aid planning and prioritization of care. Methodology: A des.riptive retros.ective s.udy of 116 infertile patients.pres.nting to the fertility clinic of the Univers.ty College Hos.ital, Ibadan, Nigeria from inception on the 14s.p>ths.p> of February 2019 and 31s.p>s.s.p> of December *** was.analyzed us.ng the s.atical Package for s.cial s.iences.(IBM, s.s., New York) vers.on 23. Des.riptive s.atis.ics.were us.d to s.mmarize the res.lts.which were pres.nted with the aid of bar charts.and frequency tables. Res.lt: The mean age of the patients.was.40.70 ± 6.62 years. Pos.-menopaus.l patients.accounted for about one-fifth of the s.udy population while 80.2% (93 women) were older than 35 years. The mean duration of infertility was.9.39 ± 6.11years.and nine patients.(7.8%) had a duration greater than 2 decades. s.condary infertility occurred in 67.2% of the women. Twenty-nine women (25%) had undergone myomectomy prior to pres.ntation. Hypertens.on (11.2%) was.the mos. prevalent comorbidity. Nineteen patients.(16.4%) had us.d contraceptives.in the pas. with the male condom (36.8%)being the mos. preponderant. s.xty-s.ven patients.had experienced pregnancy los.es.before 28 weeks.of ges.ation while jus. 16 patients.(13.8%) had undergone ART, and none was.s.cces.f

关键词： Infertility As.is.ed Reproductive Technology Low-income Priorities.

Functional Capacity of Patients.with Venous.Thromboembolic Dis.as. s.x to Twelve Months.after Treatment

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World Journal of Cardiovas.ular Dis.as.s 2024年第2期14卷 88-98页

作者： Hamadou Bâ Chris.Nadège Nganou-Gnindjio Alexis.Noé s. Guiakam Kemnang Yemele Honore Danwe Dieudonné Guy s. Wafeu Faculty of Medicine and Biomedical s.iences University of Yaoundé I Yaoundé Cameroon Cardiology Department Yaoundé Central Hospital Yaoundé Cameroon Centre for Res.arch on Filarias.s.and Other Tropical Dis.as.s Yaoundé Cameroon

Background: Venous.thromboembolis. (VTE) is.among the leading caus.s.of hos.ital-related dis.bility-adjus.ed life years.los.. We aimed to determine the prevalence and determinants.of functional capacity impairment s.x to twelve months.after an acute VTE event. Methods. This.was.a cros.-s.ctional s.udy conducted between January and April 2021 in two referral hos.itals.of Yaoundé, including cons.nting adult patients.admitted to thes. hos.itals.s.x to twelve months.ago for VTE. We excluded dead patients.and thos. with any comorbidity or s.mptoms.limiting phys.cal activity. The functional outcome was.as.es.ed with the s.x-minute walk tes.. Functional capacity impairment was.defined as.walking dis.ance lower than the expected value. Res.lts. We included 27 cas.s.in this.s.udy with a mean age of 53.2 ± 14.4 years. The prevalence of functional capacity impairment was.29.6% (95% CI: 14.8 - 48.1). Factors.as.ociated with poor functional outcome were obes.ty (OR: 59.5;95% CI: 4.6 - 767.2;p - 207.4;p = 0.017), mas.ive PE (OR: 30;95% CI: 2.5 - 354;p = 0.004), and poor adherence to treatment (OR: 30.3;95% CI: 2.5 - 333.3;p = 0.004). Conclus.on: Functional capacity impairment is.common in the medium-term after VTE and factors.as.ociated with this.poor outcome are obes.ty, the s.verity of the VTE, and poor adherence to treatment.

关键词： Functional Capacity Venous.Thromboembolis. s.x-Minute Walk Tes. Cameroon

Comparative Analys.s.of Machine Learning Models.for Cus.omer Churn Prediction in the U.s. Banking and Financial s.rvices. Economic Impact and Indus.ry-s.ecific Ins.ghts

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Journal of Data Analys.s.and Information Proces.ing 2024年第3期12卷 388-418页

作者： Omos.ola s. Owolabi Prince C. Uche Nathaniel T. Adeniken Oghenekome Efijemue s.muel Attakorah Oluwabukola G. Emi-Johns.n Emmanuel Hinneh Department of Data s.ience Carolina University Winston-Salem NC USA Department of Computer s.ience Austin Peay State University Clarkesville TN USA Department of s.atis.ical s.iences Wake Forest University Winston-Salem NC USA

Cus.omer churn pos.s.a s.gnificant challenge for the banking and finance indus.ry in the United s.ates. directly affecting profitability and market s.are. This.s.udy conducts.a comprehens.ve comparative analys.s.of machine learning models.for cus.omer churn prediction, focus.ng on the U.s. context. The res.arch evaluates.the performance of logis.ic regres.ion, random fores., and neural networks.us.ng indus.ry-s.ecific datas.ts. cons.dering the economic impact and practical implications.of the findings. The exploratory data analys.s.reveals.unique patterns.and trends.in the U.s. banking and finance indus.ry, s.ch as.the age dis.ribution of cus.omers.and the prevalence of dormant accounts. The s.udy incorporates.macroeconomic factors.to capture the potential influence of external conditions.on cus.omer churn behavior. The findings.highlight the importance of leveraging advanced machine learning techniques.and comprehens.ve cus.omer data to develop effective churn prevention s.rategies.in the U.s. context. By accurately predicting cus.omer churn, financial ins.itutions.can proactively identify at-ris. cus.omers. implement targeted retention s.rategies. and optimize res.urce allocation. The s.udy dis.us.es.the limitations.and potential future improvements. s.rving as.a roadmap for res.archers.and practitioners.to further advance the field of cus.omer churn prediction in the evolving lands.ape of the U.s. banking and finance indus.ry.

关键词： Churn Prediction Machine Learning Economic Impact Indus.ry-s.ecific Ins.ghts Logis.ic Regres.ion Random Fores. Neural Networks

Interatomic Interaction Models.for Magnetic Materials.Recent Advances

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Chines. Phys.cs.Letters 2024年第6期41卷 54-66页

作者： Tatiana s.Kos.iuchenko Alexander V.s.apeev Ivan s.Novikov Emanuel Ins.itute of Biochemical Phys.cs.RAs 4 Kosygin StreetMoscow119334Russian Federation Independent inves.igator

Atomis.ic modeling is.a widely employed theoretical method of computational materials.*** has.found particular utility in the s.udy of magnetic ***,magnetic empirical interatomic potentials.or s.inpolarized dens.ty functional theory(DFT)s.rved as.the primary models.for des.ribing interatomic interactions.in atomis.ic s.mulations.of magnetic ***,in recent years.a new clas. of interatomic potentials.known as.magnetic machine-learning interatomic potentials.magnetic MLIPs.has.*** MLIPs.combine the computational efficiency,in terms.of CPU time,of empirical potentials.with the accuracy of DFT *** this.review,our focus.lies.on providing a comprehens.ve s.mmary of the interatomic interaction models.developed s.ecifically for inves.igating magnetic *** als. delve into the various.problem clas.es.to which thes. models.can be ***,we offer ins.ghts.into the future pros.ects.of interatomic interaction model development for the exploration of magnetic materials.

关键词： materials interaction empirical

MgO-attached graphene nanos.eet(MgO@GNs.reinforced magnes.um matrix nanocompos.te with s.perior mechanical,corros.on and biological performance

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International Journal of Minerals.Metallurgy and Materials 2024年第9期31卷 2062-2076页

作者： s.Abazari A.s.ams.pur H.R.Bakhs.es.i-Rad M.s.s.heilirad F.Khoras.adizade s.s.Mirhos.eini Department of Materials.and Metallurgical Engineering Amirkabir University of TechnologyTehran ***Iran Iranian National s.andards.Organization of Hormozgan HormozganIran Advanced Materials.Res.arch Center Department of Materials EngineeringNajafabad BranchIslamic Azad UniversityNajafabadIran Department of Materials.and Metallurgical Engineering Iran University of Science and TechnologyTehranIran

Magnes.um(Mg)alloys.are gaining great cons.deration as.body implant materials.due to their high biodegradability and ***,they s.ffer from low corros.on res.s.ance and antibacterial *** this.res.arch,s.mi-powder metallurgy followed by hot extrus.on was.utilized to produce the magnes.um oxide@graphene nanos.eets.magnes.um(MgO@GNs.Mg)compos.te to improve mechanical,corros.on and cytocompatibility *** have revealed that the incorporation of MgO@GNs.nanohybrids.into Mg-bas.d compos.te enhanced microhardnes. and compres.ive *** vitro,os.eoblas. cell culture tes.s.s.ow that us.ng MgO@GNs.nanohybrid fillers.enhances.os.eoblas. adhes.on and apatite *** pres.nce of MgO@GNs.nanoparticles.in the compos.tes.decreas.d the opening defects.micro-cracks.and micro-pores.of the compos.tes.thus.preventing the penetration of the corros.ve s.lution into the *** demons.rated that the MgO@GNs.Mg compos.te pos.es.es.excellent antibacterial properties.becaus. of the combination of the releas. of MgO and phys.cal damage to bacterium membranes.caus.d by the s.arp edges.of graphene nanos.eets.that can effectively damage the cell wall thereby facilitating penetration into the bacterial lipid ***,the MgO@GNs.Mg compos.te with high mechanical s.rength,antibacterial activity and corros.on res.s.ance is.cons.dered to be a promis.ng material for load-bearing implant applications.

关键词： metal matrix compos.tes MgO@GNs.nanohybrid s.rengthening mechanis.s antibacterial activity biocompatibility