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AutoRhythmAi: A Hybrid Machine and Deep Learning Approach for Automated Diagnosis of Arrhythmias

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

作者： s.Jayanthi s.Prasanna Devi Department of Computer science and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia

in healthcare,the persistent challenge of arrhythmias,a leading cause of global mortality,has sparked extensive research into the automation of detection using machine learning(ML)***,traditional ML and AutoML approaches have revealed their limitations,notably regarding feature generalization and automation *** glaring research gap has motivated the development of AutoRhythmAi,an innovative solution that integrates both machine and deep learning to revolutionize the diagnosis of *** approach encompasses two distinct pipelines tailored for binary-class and multi-class arrhythmia detection,effectively bridging the gap between data preprocessing and model *** validate our system,we have rigorously tested AutoRhythmAi using a multimodal dataset,surpassing the accuracy achieved using a single dataset and underscoring the robustness of our *** the first pipeline,we employ signal filtering and ML algorithms for preprocessing,followed by data balancing and split for *** second pipeline is dedicated to feature extraction and classification,utilizing deep learning ***,we introduce the‘RRi-convoluted trans-former model’as a novel addition for binary-class *** ensemble-based approach then amalgamates all models,considering their respective weights,resulting in an optimal model *** our study,the VGGRes Model achieved impressive results in multi-class arrhythmia detection,with an accuracy of 97.39%and firm performance in precision(82.13%),recall(31.91%),and F1-score(82.61%).in the binary-class task,the proposed model achieved an outstanding accuracy of 96.60%.These results highlight the effectiveness 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

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Machine learning-enhanced Monte Carlo and subset simulations for advanced risk assessment in transportation infrastructure

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Journal of Mountain science 2024年第2期21卷 690-717页

作者： Furquan AHMAD Pijush sAMUi s.s.MisHRA Department of Civil Engineering National Institute of TechnologyPatna 800006India

The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation *** study introduces a comprehensive methodology for soil slope stability evaluation,employing Monte Carlo simulation(MCs)and subset simulation(ss)with the"UPss 3.0 Add-in"in *** on an 11.693-meter embankment with a soil slope(inclination ratio of 2H:1V),the investigation considers earthquake coefficients(kh)and pore water pressure ratios(ru)following indian zoning *** chance of slope failure showed a considerable increase as the Coefficient of Variation(COV),seismic coefficients(kh),and pore water pressure ratios(ru)experienced an *** ss approach showed exceptional efficacy in calculating odds of failure that are notably *** computational modeling,the study optimized the worst-case scenario using ANFis-GA,ANFis-GWO,ANFis-PsO,and ANFis-BBO *** ANFis-PsO model exhibits exceptional accuracy(training R2=0.9011,RMsE=0.0549;testing R2=0.8968,RMsE=0.0615),emerging as the most *** study highlights the significance of conducting thorough risk assessments and offers practical insights into evaluating and improving the stability of soil slopes in transportation *** findings contribute to the enhancement of safety and reliability in real-world situations.

关键词： Monte Carlo simulation subset simulation Machine Learning seismic coefficient

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Particle size Optimization of Thermochemical salt Hydrates for High Energy Density Thermal storage

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Energy & Environmental Materials 2024年第2期7卷 326-333页

作者： Andrew Martin Drew Lilley Raνi Prasher sumanjeet Kaur Energy Technologies Area Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Department of Mechanical Engineering UC BerkeleyBerkeleyCA 94720USA

Thermal energy storage(TEs)solutions offer opportunities to reduce energy consumption,greenhouse gas emissions,and ***,they can help reduce the peak load and address the intermittency of renewable energy sources by time shifting the load,which are critical toward zero energy *** materials(TCMs)as a class of TEs undergo a solid-gas reversible chemical reaction with water vapor to store and release energy with high storage capacities(600 kWh m^(-3))and negligible self-discharge that makes them uniquely suited as compact,stand-alone units for daily or seasonal ***,TCMs suffer from instabilities at the material(salt particles)and reactor level(packed beds of salt),resulting in poor multi-cycle efficiency and high-levelized cost of *** this study,a model is developed to predict the pulverization limit or Rcrit of various salt hydrates during thermal *** is critical as it provides design rules to make mechanically stable TCM composites as well as enables the use of more energy-efficient manufacturing process(solid-state mixing)to make the *** model is experimentally validated on multiple TCM salt hydrates with different water content,and effect of Rcrit on hydration and dehydration kinetics is also investigated.

关键词： high energy density hydration kinetics long-term cycling thermal energy storage thermochemical materials

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Continuous ward monitoring and intensive postoperative management

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Chinese Medical Journal 2024年第6期137卷 631-632页

作者： Kai Li Jiayi Wang Daniel i.sessler Department of Anesthesiology China-Japan Union HospitalJilin UniversityChangchunJilin 130031China Outcomes Research Consortium ClevelandOhio 44195USA Department of Anesthesiology Shanghai Ninth People’s HospitalShanghai JiaoTong University School of MedicineShanghai 201999China Department of Outcomes Research Cleveland ClinicClevelandOhio 44195USA

When patients having major surgery reach the post-anaesthesia care unit,families naturally assume that they have survived the most dangerous part of the perioperative *** assumption is *** in the 30 days after surgery is 140 times higher than intraoperative mortality.^([1,2])in fact,if the month after surgery were considered a disease,it would be the world’s third leading cause of death.^([3])

关键词： assume dangerous wrong

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Large-scale genome-wide sNP analysis reveals the rugged(and ragged)landscape of global ancestry,phylogeny,and demographic history in chicken breeds

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Journal of Zhejiang University-science B(Biomedicine & Biotechnology) 2024年第4期25卷 324-340页

作者： Natalia V.DEMENTiEVA Yuri s.sHCHERBAKOV Olga i.sTANisHEVsKAYA Anatoly B.VAKHRAMEEV Tatiana A.LARKiNA Artem P.DYsiN Olga A.NiKOLAEVA Anna E.RYABOVA Anastasiia i.AZOVTsEVA Olga V.MiTROFANOVA Grigoriy K.PEGLiVANYAN Natalia R.REiNBACH Darren K.GRiFFiN Michael N.ROMANOV Russian Research institute of Farm Animal Genetics and Breeding-Branch of the L.K.Ernst Federal Research Centre for Animal Husbandry.Pushkin St.Petersburg196601Russia school of Biosciences University of KentCanterburyCT27NJUK L.K.Ernst Federal Research Center for Animal Husbandry DubrovitsyPodolskMoscow Oblast142132Russia

The worldwide chicken gene pool encompasses a remarkable,but shrinking,number of divergently selected breeds of diverse *** study was a large-scale genome-wide analysis of the landscape of the complex molecular architecture,genetic variability,and detailed structure among 49 *** populations represent a significant sample of the world's chicken breeds from Europe(Russia,Czech Republic,France,spain,UK,etc.),Asia(China),North America(UsA),and Oceania(Australia).Based on the results of breed genotyping using the illumina 60K single nucleotide polymorphism(sNP)chip,a bioinformatic analysis was carried *** included the calculation of heterozygosity/homozygosity statistics,inbreeding coefficients,and effective population *** also included assessment of linkage disequilibrium and construction of phylogenetic *** multidimensional scaling,principal component analysis,and ADMiXTURE-assisted global ancestry analysis,we explored the genetic structure of populations and subpopulations in each *** overall 49-population phylogeny analysis was also performed,and a refined evolutionary model of chicken breed formation was proposed,which included egg,meat,dual-purpose types,and ambiguous *** a large-scale survey of genetic resources in poultry farming using modern genomic methods is of great interest both from the viewpoint of a general understanding of the genetics of the domestic chicken and for the further development of genomic technologies and approaches in poultry *** general,whole genome sNP genotyping of promising chicken breeds from the worldwide gene pool will promote the further development of modern genomic science as applied to poultry.

关键词： Chicken genome diversity single nucleotide polymorphism(sNP)analysis Gene pool Global ancestry Phylogeny Demographic history

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Photonuclear reactions on stable isotopes of selenium at bremsstrahlung end-point energies of 10-23 MeV

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Chinese Physics C 2024年第2期48卷 91-103页

作者： F.A.Rasulova N.V.Aksenov s.i.Alekseev R.A.Aliev s.s.Belyshev i.Chuprakov N.Yu.Fursova A.s.Madumarov J.H.Khushvaktov A.A.Kuznetsov B.s.Yuldashev Joint institute for Nuclear Research DubnaRussia institute of Nuclear Physics of the Academy of sciences of the Republic of Uzbekistan TashkentUzbekistan Faculty of Chemistry of Lomonosov Moscow state University MoscowRussia National Research Center"Kurchatov institute" MoscowRussia skobeltsyn institute of Nuclear Physics of Lomonosov Moscow state University MoscowRussia Faculty of Physics of Lomonosov Moscow state University MoscowRussia institute of Nuclear Physics AlmatyRepublic of Kazakhstan

in this study,experiments were performed at bremsstrahlung end-point energies of 10-23 MeV with the beam from the MT-25 microtron using theγ-activation *** experimental values of relative yields were compared with theoretical results obtained on the basis of TALYs with the standard parameters and the combined model of photonucleon *** isospin splitting in the combined model of photonucleon reactions allows describing experimental data on reactions with proton escape in the energy range from 10 to 23 ***,taking into account isospin splitting is necessary for a correct description of the decay of the giant dipole resonance.

关键词： bremsstrahlung photon cross section isospin splitting giant dipole resonance

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Comprehensive analysis of uncertainty quantification for the 58Ni（n,p）58Co reaction cross section

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Chinese Physics C 2024年第9期48卷 174-179页

作者： Mahesh Choudhary Aman sharma Namrata singh Mahima Upadhyay Punit Dubey A.Gandhi Akash Hingu G Mishra sukanya De L.s.Danu Ajay Kumar R.G.Thomas saurav sood sajin Prasad s.Mukherjee i.N.Ruskov Yu.N.Kopatch A.Kumar Department of Physics Banaras Hindu University Horia Hulubei National institute of Physics and Nuclear Engineering-iFiN-HH Department of Physics The Maharaja Sayajirao University of Baroda Nuclear Physics Division Bhabha Atomic Research Centre Health Physics Division Bhabha Atomic Research Centre Department of Electrical Power Engineering Brno University of Technology institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Joint institute for Nuclear Research (JiNR)

in this study,we measured the58Ni（n,p）58Co reaction cross section with neutron energies of 1.06,1.86,and 2.85 *** cross section was measured using neutron activation techniques and γ-ray spectroscopy,and it was compared with cross section data available in the ***,we calculated the covariance matrix of the measured cross section for the aforementioned nuclear *** uncertainties of the theoretical calculation for58Ni（n,p）58Co reaction cross section were calculated via Monte Carlo *** this study,we used uncertainties in the optical model and level density parameters to calculate uncertainties in the theoretical cross *** theoretical calculations were performed by using *** this study,we aim to analyze the effect of uncertainties of the nuclear model input as well as different experimental variables used to obtain the values of reaction cross section.

关键词： 58Ni(n, p)58Co reaction covariance analysis uncertainty quantification of cross section γ-ray spectroscopy

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increasingβ-hexosaminidase A activity using genetically modified mesenchymal stem cells

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Neural Regeneration Research 2024年第1期19卷 212-219页

作者： Alisa A.shaimardanova Daria s.Chulpanova Valeriya V.solovуeva shaza s.issa Aysilu i.Mullagulova Angelina A.Titova Yana O.Mukhamedshina Anna V.Timofeeva Alexander M.Aimaletdinov islam R.Nigmetzyanov Albert A.Rizvanov institute of Fundamental Medicine and Biology Kazan Federal UniversityKazanRussia Department of Histology Cytology and EmbryologyKazan State Medical UniversityKazanRussia

GM2 gangliosidoses are a group of autosomal-recessive lysosomal storage disorde *** diseases result from a deficiency of lysosomal enzymeβ-hexosaminidase A(HexA),which is responsible for GM2 ganglioside *** deficiency causes the accumulation of GM2-gangliosides mainly in the nervous system cells,leading to severe progressive neurodegeneration and *** date,there is no treatment for these ***-mediated gene therapy is considered a promising treatment for GM2 *** study aimed to evaluate the ability of genetically modified mesenchymal stem cells(MsCs-HEXA-HEXB)to restore HexA deficiency in Tay-sachs disease patient cells,as well as to analyze the functionality and biodistribution of MsCs in *** effectiveness of HexA deficiency cross-correction was shown in mutant MsCs upon intera ction with *** results also showed that the MsCs-HEXA-HEXB express the functionally active HexA enzyme,detectable in vivo,and intravenous injection of the cells does not cause an immune response in *** data suggest that genetically modified mesenchymal stem cells have the potentials to treat GM2 gangliosidoses.

关键词： adeno-associated viral vectors cell therapy cell-mediated gene therapy gene therapy GM2 gangliosidosis sandhoff disease Tay-sachs disease β-hexosaminidase

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Data-driven modeling on anisotropic mechanical behavior of brain tissue with internal pressure

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Defence Technology（防务技术） 2024年第3期33卷 55-65页

作者： Zhiyuan Tang Yu Wang Khalil i.Elkhodary Zefeng Yu shan Tang Dan Peng state Key Laboratory of structural Analysis Optimization and CAE Software for Industrial EquipmentDalian University of Technology116023DalianPR China The Department of Mechanical Engineering The American University in CairoNew Cairo11835Egypt Department of Neurology The Second Hospital of Dalian Medical UniversityDalian116023PR China

Brain tissue is one of the softest parts of the human body,composed of white matter and grey *** mechanical behavior of the brain tissue plays an essential role in regulating brain morphology and brain ***,traumatic brain injury(TBi)and various brain diseases are also greatly influenced by the brain's mechanical *** white matter or grey matter,brain tissue contains multiscale structures composed of neurons,glial cells,fibers,blood vessels,etc.,each with different mechanical *** such,brain tissue exhibits complex mechanical behavior,usually with strong nonlinearity,heterogeneity,and directional *** a constitutive law for multiscale brain tissue using traditional function-based approaches can be very ***,this paper proposes a data-driven approach to establish the desired mechanical model of brain *** focus on blood vessels with internal pressure embedded in a white or grey matter matrix material to demonstrate our *** matrix is described by an isotropic or anisotropic nonlinear elastic model.A representative unit cell(RUC)with blood vessels is built,which is used to generate the stress-strain data under different internal blood pressure and various proportional displacement loading *** generated stress-strain data is then used to train a mechanical law using artificial neural networks to predict the macroscopic mechanical response of brain tissue under different internal ***,the trained material model is implemented into finite element software to predict the mechanical behavior of a whole brain under intracranial pressure and distributed body *** with a direct numerical simulation that employs a reference material model,our proposed approach greatly reduces the computational cost and improves modeling *** predictions made by our trained model demonstrate sufficient ***,we find that the level of internal blood pressur

关键词： Data driven Constitutive law Anisotropy Brain tissue internal pressure

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Ferritin and mortality in hemodialysis patients with COViD-19:A systematic review and meta-analysis

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Asian Pacific Journal of Tropical Medicine 2024年第1期17卷 4-11页

作者： Ni Wayan Anantika Riani i Gde Raka Widiana Yenny Kandarini Nephrology Division Department of Internal MedicineUdayana University/Udayana University HospitalBaliIndonesia Nephrology Division Department of Internal MedicineUdayana University/Prof.Dr.I.G.N.G.Ngoerah General HospitalBaliIndonesia

Objective:To investigate the difference in serum ferritin levels between deceased and surviving regular hemodialysis patients with ***:We conducted a systematic search across four databases following the PRisMA statement *** reporting ferritin levels and mortality of regular hemodialysis patients with COViD-19 were *** the random-effects model,we performed a meta-analysis to determine the mean difference in serum ferritin levels between the studied groups,along with their corresponding 95%confidence *** meta-analysis was carried out using Review Manager 5.4 and stata ***:A total of 1013 patients from seven studies were included in this *** meta-analysis showed higher mean serum ferritin in the deceased compared to surviving regular hemodialysis patients with COViD-19,with a mean difference of 449.43 ng/mL[95%Ci(244.07,654.80),Pi2=58%,P=0.003].Conclusions:Our study found a higher mean of serum ferritin levels in the deceased compared to surviving regular hemodialysis patients with COViD-19.

关键词： Ferritin Mortality Hemodialysis COViD-19 inflammation

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