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Critical Review on Improved Electrochemical Impedance Spectroscopy-cuckoo Search-Elman Neural Network Modeling Methods for Whole-life-cycle Health State Estimation of Lithium-ion Battery Energy Storage Systems

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Protection and Control of Modern Power Systems 2024年第2期9卷 75-100页

作者： Ran Xiong Shunli Wang Paul Takyi-Aninakwa Siyu Jin carlos Fernandez Qi Huang Weihao Hu Wei Zhan School of Information Engineering Southwest University of Science and TechnologyMianyangChina School of Information Engineering Southwest University of Science and TechnologyMianyang621010 China Mechanical Engineering from Kwame Nkrumah Uni-versity of Science and Technology Ghana Northeastern University ShenyangChina Robert Gordon University Scotland Southwest University of Science and Technology(SWUST) Mian-yangChina University of Electronic Science and Technology of China ChengduChina Xi’an Jiaotong University Xi’anChina SPIC Southwest Energy Research Institute ChengduChina

Efficient and accurate health state estimation is crucial for lithium-ion battery(LIB)performance monitoring and economic *** estimating the health state of LIBs online is the key but is also the most difficult task for energy storage *** high adaptability and applicability advantages,battery health state estimation based on data-driven techniques has attracted extensive attention from researchers around the *** neural network(ANN)-based methods are often used for state estimations of *** one of the ANN methods,the Elman neural network(ENN)model has been improved to estimate the battery state more efficiently and *** this paper,an improved ENN estimation method based on electrochemical impedance spectroscopy(EIS)and cuckoo search(CS)is established as the EIS-CS-ENN model to estimate the health state of ***,the paper conducts a critical review of various ANN models against the EIS-CS-ENN *** demonstrates that the EIS-CS-ENN model outperforms other *** review also proves that,under the same conditions,selecting appropriate health indicators(HIs)according to the mathematical modeling ability and state requirements are the keys in estimating the health state *** the calculation process,several evaluation indicators are adopted to analyze and compare the modeling accuracy with other existing *** the analysis of the evaluation results and the selection of HIs,conclusions and suggestions are put ***,the robustness of the EIS-CS-ENN model for the health state estimation of LIBs is verified.

关键词： Lithium-ion battery health state esti-mation elman neural network electrochemical imped-ance spectroscopy cuckoo search health indicators

Influence of variable viscosity and double diffusion on the convective stability of a nanofluid flow in an inclined porous channel

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Applied Mathematics and Mechanics(English Edition) 2024年第3期45卷 563-580页

作者： N.HUMNEKAR d.SRINIVASACHARYA department of Mathematics National Institute of TechnologyWarangal 506004TelanganaIndia

The influence of variable viscosity and double diffusion on the convective stability of a nanofluid flow in an inclined porous channel is *** darcyBrinkman model is used to characterize the fluid flow dynamics in porous *** analytical solutions are obtained for the unidirectional and completely developed *** on a normal mode analysis,the generalized eigenvalue problem under a perturbed state is *** eigenvalue problem is then solved by the spectral ***,the critical Rayleigh number with the corresponding wavenumber is evaluated at the assigned values of the other flow-governing *** results show that increasing the darcy number,the Lewis number,the dufour parameter,or the Soret parameter increases the stability of the system,whereas increasing the inclination angle of the channel destabilizes the ***,the flow is the most unstable when the channel is vertically oriented.

关键词： nanofluid inclined channel variable viscosity linear stability double dif-fusion porous medium

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Una nueva imagen

今日中国（西文版） 2024年第2期 24-25页

作者： LÜYAN JUAN carlos AGUILAR 不详

Health Vigilance and Risk Factors for Cervical Cancer: A Study in the State of Maranhão, Brazil

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Open Journal of Epidemiology 2024年第1期14卷 75-89页

作者： José Márcio Soares Leite carlos Tomaz School of Medicine CEUMA University S&#227o Luís Brazil Master’s Program in Environment CEUMA University S&#227o Luís Brazil

The purpose of this cross-sectional study was to investigate the importance of health vigilance in the prevention of cervical cancer. The sample consisted of 536 women. To identify which risk factors were associated with cervical cancer or with an increase in the mortality rate of this kind of cancer, a logistic regression model was used. The Odds Ratios (OR) and their respective 95% confidence intervals were also calculated. Most of them were at the age of highest incidence of cervical cancer (21 - 59 years old), had an unstable conjugal situation, minimal educational level (78.7%), low income (58.3%), consumed alcoholic beverages (56.4%), had a history of smoking (57.0%) and possessed limited knowledge about the prevention. These results are discussed in terms of a predictive model for cervical cancer that considers the importance of public health vigilance in the screening and precocious diagnosis.

关键词： Cancer Cervix Uteri Public Health Surveillance Epidemiology

Genome-wide association mapping and genomic prediction of stalk rot in two mid-altitude tropical maize populations

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The Crop Journal 2024年第2期12卷 558-568页

作者： Junqiao Song Angela Pacheco Amos Alakonya Andrea S.Cruz-Morales carlos Muoz-Zavala Jingtao Qu Chunping Wang Xuecai Zhang Felix San Vicente Thanda dhliwayo College of Agronomy Henan University of Science and TechnologyLuoyang 471000HenanChina International Maize and Wheat Improvement Center(CIMMYT) El BatanMexico Anyang Academy of Agricultural Sciences Anyang 455000HenanChina CIMMYT-China Specialty Maize Research Center Crop Breedingand Cultivation Research InstituteShanghai Academy of Agricultural SciencesShanghai 201403China

Maize stalk rot reduces grain yield and *** about the genetics of resistance to maize stalk rot could help breeders design effective breeding strategies for the *** prediction may be a more effective breeding strategy for stalk-rot resistance than marker-assisted *** performed a genome-wide association study(GWAS)and genomic prediction of resistance in testcross hybrids of 677 inbred lines from the Tuxpe?o and non-Tuxpe?o heterotic pools grown in three environments and genotyped with 200,681 single-nucleotide polymorphisms(SNPs).Eighteen SNPs associated with stalk rot shared genomic regions with gene families previously associated with plant biotic and abiotic *** favorable SNP haplotypes traced to tropical than to temperate progenitors of the inbred *** genotype-by-environment(G×E)interaction increased genomic prediction accuracy.

关键词： Maize stalk rot Genome-wide association mapping Haplotype analysis Genomic prediction G×E interaction

Improved Leap-frog Method for Time-domain Fault Location

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 670-674页

作者： Izudin džafić Rabih A.Jabr Faculty of Electrical Engineering University of SarajevoSarajevo 71000Bosnia and Herzegovina department of Electrical and Computer Engineering American University of BeirutBeirut 11072020Lebanon IEEE

The partial differential equation(PdE)solution of the telegrapher is a promising fault location method among time-domain and model-based *** research works have shown that the leap-frog process is superior to other explicit methods for the PdE ***,its implementation is challenged by determining the initial conditions in time and the boundary conditions in *** letter proposes two implicit solution methods for determining the initial conditions and an analytical way to obtain the boundary conditions founded on the signal *** results show that the proposal gives fault location accuracy superior to the existing leap-frog scheme,particularly in the presence of harmonics.

关键词： Fault location leap-frog partial differential equation time-domain analysis transmission line

The Effect of External Magnetic Field on Electron Scale Kelvin–Helmholtz Instability

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Research in Astronomy and Astrophysics 2024年第9期24卷 236-247页

作者： d.Tsiklauri Joule Physics Laboratory School of ScienceEngineering and EnvironmentUniversity of SalfordManchesterM54WTUK

We use particle-in-cell,fully electromagnetic,plasma kinetic simulation to study the effect of external magnetic field on electron scale Kelvin–Helmholtz instability(ESKHI).The results are applicable to collisionless plasmas when,e.g.,solar wind interacts with planetary magnetospheres or a magnetic field is generated in AGN *** find that as in the case of magnetohydrodynamic(MHd)KHI,in the kinetic regime,the presence of an external magnetic field reduces the growth rate of the *** the MHd case,there is a known threshold magnetic field for KHI stabilization,while for ESKHI this is to be analytically *** a kinetic analytical expression,we use several numerical simulation runs to establish an empirical dependence of ESKHI growth rate,Γ(B_(0))ω_(pe),on the strength of the applied external magnetic *** find the best fit is hyperbolic,Γ(B_(0))ω_(pe)=Γ_(0)ω_(pe)/(A+BB_(0)),where Γ_(0) is the ESKHI growth rate without an external magnetic field and B_(0)=B_(0)/B_(MHd)is the ratio of external and two-fluid MHd stability threshold magnetic field,derived *** analytical theory to back up this growth rate dependence on the external magnetic field is *** results suggest that in astrophysical settings where a strong magnetic field pre-exists,the generation of an additional magnetic field by the ESKHI is suppressed,which implies that nature provides a“safety valve”—natural protection not to“over-generate”magnetic field by the ESKHI ***,we find that our two-fluid MHd threshold magnetic field is the same(up to a factor √γ_(0))as the dC saturation magnetic field,previously predicted by fully kinetic theory.

关键词： instabilities magnetic fields plasmas Sun:heliosphere ISM:magnetic fields

Precision at scale:Machine learning revolutionizing laparoscopic surgery

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World Journal of Clinical Oncology 2024年第10期15卷 1256-1263页

作者： carlos M Ardila daniel González-Arroyave Biomedical Stomatology Research Group Universidad de Antioquia U de AMedellín 0057Colombia department of Surgery Pontificia Universidad BolivarianaMedellín 0057Colombia

In their recent study published in the World Journal of Clinical Cases,the article found that minimally invasive laparoscopic surgery under general anesthesia demonstrates superior efficacy and safety compared to traditional open surgery for early ovarian cancer *** editorial discusses the integration of machine learning in laparoscopic surgery,emphasizing its transformative po-tential in improving patient outcomes and surgical *** learning algorithms analyze extensive datasets to optimize procedural techniques,enhance decision-making,and personalize treatment *** imaging modalities like augmented reality and real-time tissue classification,alongside robotic surgical systems and virtual reality simulations driven by machine learning,enhance imaging and training techniques,offering surgeons clearer visualization and precise tissue *** promising advancements,challenges such as data privacy,algorithm bias,and regulatory hurdles need addressing for the responsible deployment of machine learning *** collaborations and ongoing technological innovations promise further enha-ncement in laparoscopic surgery,fostering a future where personalized medicine and precision surgery redefine patient care.

关键词： Machine learning Computer neural network Minimally invasive surgical procedures Hand-assisted laparoscopy Laparoscopy

decomposition mechanisms of nuclear-grade cationic exchange resin by advanced oxidation processes:Statistical molecular fragmentation model and dFT calculations

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Journal of Environmental Sciences 2024年第1期135卷 433-448页

作者： Xiang Meng Pierre désesquelles Lejin Xu department of Nuclear Engineering and Technology School of Energy and Power EngineeringHuazhong University of Science&TechnologyWuhan 430074China CNRS Laboratoire de Physique des Gaz et des PlasmasUniversitéParis-SaclayOrsay 91405France State Key Laboratory of Coal Combustion School of Energy and Power EngineeringHuazhong University of Science and TechnologyWuhan 430074China

The treatment and disposal of radioactive waste are presently facing great *** ion exchange resins have become a focus of attention due to their high production and serious environmental *** this paper,a simplified model of cationic exchange resin is proposed,and the degradation processes of cationic resin monomer initiated by hydroxyl radicals(·OH)are clarified by combining statistical molecular fragmentation(SMF)model and density functional theory(dFT)*** prediction of active sites indicates that the S-O bonds and the C-S bond of the sulfonic group are more likely to react during the *** meta-position of the sulfonic group on the benzene ring is the most active site,and the benzene ring without the sulfonic group has a certain *** C11-C14 and C17-C20 bonds,on the carbon skeleton,are the most easily *** is also found that dihydroxy addition and elimination reactions play a major role in the process of desulfonation,carbon skeleton cleavage and benzene ring *** decomposition mechanisms found through the combination of physical models and chemical calculations,provide theoretical guidance for the treatment of complex polycyclic aromatic hydrocarbons.

关键词： Cationic exchange resin Statistical molecular fragmentation model density functional theory Hydroxyl radical decomposition mechanism