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Optimizing Average Electric Power During the Charging of Lithium-Ion Batteries Through the Taguchi Method

Transactions of Tianjin University 2024年第2期30卷 152-166页

作者： Mohd H.s.Alrashdan Department of Electrical Engineering Al-Hussein Bin Talal UniversityMaan 71110Jordan

In recent times, lithium-ion batteries have been widely used owing to their high energy density, extended cycle lifespan, and minimal self-discharge rate. The design of high-speed rechargeable lithium-ion batteries faces a significant challenge owing to the need to increase average electric power during charging. This challenge results from the direct influence of the power level on the rate of chemical reactions occurring in the battery electrodes. In this study, the Taguchi optimization method was used to enhance the average electric power during the charging process of lithium-ion batteries. The Taguchi technique is a statistical strategy that facilitates the systematic and efficient evaluation of numerous experimental variables. The proposed method involved varying seven input factors, including positive electrode thickness, positive electrode material, positive electrode active material volume fraction, negative electrode active material volume fraction, separator thickness, positive current collector thickness, and negative current collector thickness. Three levels were assigned to each control factor to identify the optimal conditions and maximize the average electric power during charging. Moreover, a variance assessment analysis was conducted to validate the results obtained from the Taguchi analysis. The results revealed that the Taguchi method was an eff ective approach for optimizing the average electric power during the charging of lithium-ion batteries. This indicates that the positive electrode material, followed by the separator thickness and the negative electrode active material volume fraction, was key factors significantly infl uencing the average electric power during the charging of lithium-ion batteries response. The identification of optimal conditions resulted in the improved performance of lithium-ion batteries, extending their potential in various applications. Particularly, lithium-ion batteries with average electric power of 16 W and 17

关键词： Lithium-ion batteries Average electric power during charging Taguchi method COMsOL Multiphysics software C rate L27 orthogonal array

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TOEPLITZ DETERMINANTs IN ONE AND HIGHER diMENsIONs

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Acta Mathematica scientia 2024年第5期44卷 1931-1944页

作者： surya GIRI s.sivaprasad KUMAR Department of Applied Mathematics Delhi Technological UniversityNew Delhi110042India

In this study,we derive the sharp bounds of certain Toeplitz determinants whose entries are the coefficients of holomorphic functions belonging to a class defined on the unit disk ***,these results are extended to a class of holomorphic functions on the unit ball in a complex Banach space and on the unit polydisc inℂ*** obtained results provide the bounds of Toeplitz determinants in higher dimensions for various subclasses of normalized univalent functions.

关键词： holomorphic mappings starlike mappings Toeplitz determinants coefficient inequalities

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MAIPFE:An Efficient Multimodal Approach Integrating Pre-Emptive Analysis,Personalized Feature selection,and Explainable AI

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Computers, Materials & Continua 2024年第5期79卷 2229-2251页

作者： Moshe Dayan sirapangi s.Gopikrishnan school of Computer science and Engineering VIT-AP UniversityAmaravathiAndhra Pradesh522241India

Medical Internet of Things(IoT)devices are becoming more and more common in *** has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized *** methods,while useful,have limitations in predictive accuracy,delay,personalization,and user interpretability,requiring a more comprehensive and efficient approach to harness modern medical IoT *** is a multimodal approach integrating pre-emptive analysis,personalized feature selection,and explainable AI for real-time health monitoring and disease *** using AI for early disease detection,personalized health recommendations,and transparency,healthcare will be *** Multimodal Approach Integrating Pre-emptive Analysis,Personalized Feature selection,and Explainable AI(MAIPFE)framework,which combines Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means(FCM),and Explainable AI,improves disease detection precision over existing *** metrics show the model’s superiority in real-time health *** proposed framework outperformed existing models by 8.3%in disease detection classification precision,8.5%in accuracy,5.5%in recall,2.9%in specificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay *** prediction precision increased by 4.5%,accuracy by 3.9%,recall by 2.5%,specificity by 3.5%,AUC by 1.9%,and delay levels decreased by 9.4%.MAIPFE can revolutionize healthcare with preemptive analysis,personalized health insights,and actionable *** research shows that this innovative approach improves patient outcomes and healthcare efficiency in the real world.

关键词： Predictive health modeling Medical Internet of Things explainable artificial intelligence personalized feature selection preemptive analysis

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Field Load Test Based sHM system safety standard Determination for Rigid Frame Bridge

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structural Durability & Health Monitoring 2024年第3期18卷 361-376页

作者： Xilong Zheng Qiong Wang di Guan school of Civil and Architectural Engineering Harbin UniversityHarbin150076China

The deteriorated continuous rigid frame bridge is strengthened by external prestressing. static loading tests wereconducted before and after the bridge rehabilitation to verify the effectiveness of the rehabilitation process. Thestiffness of the repaired bridge is improved, and the maximum deflection of the load test is reduced from 37.9 to27.6 mm. A bridge health monitoring system is installed after the bridge is reinforced. To achieve an easy assessmentof the bridge’s safety status by directly using transferred data, a real-time safety warning system is createdbased on a five-level safety standard. The threshold for each safety level will be determined by theoretical calculationsand the outcomes of static loading tests. The highest risk threshold will be set at the ultimate limit statevalue. The remaining levels, namely middle risk, low risk, and very low risk, will be determined usingreduction coefficients of 0.95, 0.9, and 0.8, respectively.

关键词： Continuous rigid frame bridge rehabilitation long-term monitoring field load test safety standard determination

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Wind energy feasibility and wind turbine selection studies for the city surat,India

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Clean Energy 2024年第3期8卷 166-173页

作者： Arshi Banu P s Maanat Bhadani Hindustan Institute of Technology and science ChennaiIndia The Doon school UttarakhandDehradunIndia

Wind energy represents a clean,abundant and cost-effective power source,fostering job growth and environmental *** wind energy harnesses several gigawatts today,its availability hinges on diverse factors,with geographical location standing *** turbines,with varying capacity ranges,saturate the *** site-specific suitability and matching the appropriate turbine to meet specific requirements are of paramount *** study aims to assess the feasibility of wind energy in surat,Gujarat,India and select an optimal small commercial turbine for residential *** research involves Rayleigh and Weibull probability distribution functions based on yearlong velocity *** distributions are fitted with actual data,revealing the most probable velocity(v_(mf)=3 m/s)and velocity at maximum power(v_(pmax)=5 m/s).The power availability of the site has been assessed as 42.6 W/m^(2)using both graphical and analytical *** commercial turbines have been shortlisted based on on-site power criteria and their specifications are evaluated against site power availability.A comparative analysis culminates in identifying the most suitable turbine for the *** best suitable turbine for the site with an annual energy yield of 8 MW has been suggested amongst selected turbines for small-scale residential applications.

关键词： site feasibility wind energy commercial wind turbine probability distribution function rated power

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Real-Time Prediction of Urban Traffic Problems Based on Artificial Intelligence-Enhanced Mobile Ad Hoc Networks(MANETs)

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Computers, Materials & Continua 2024年第5期79卷 1903-1923页

作者： Ahmed Alhussen Arshiya s.Ansari Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Traffic in today’s cities is a serious problem that increases travel times,negatively affects the environment,and drains financial *** study presents an Artificial Intelligence(AI)augmentedMobile Ad Hoc Networks(MANETs)based real-time prediction paradigm for urban traffic *** are wireless networks that are based on mobile devices and may *** distributed nature of MANETs and the power of AI approaches are leveraged in this framework to provide reliable and timely traffic congestion *** study suggests a unique Chaotic spatial Fuzzy Polynomial Neural Network(CsFPNN)technique to assess real-time data acquired from various sources within *** framework uses the proposed approach to learn from the data and create predictionmodels to detect possible traffic problems and their severity in real ***-time traffic prediction allows for proactive actions like resource allocation,dynamic route advice,and traffic signal optimization to reduce *** framework supports effective decision-making,decreases travel time,lowers fuel use,and enhances overall urban mobility by giving timely information to pedestrians,drivers,and urban *** simulations and real-world datasets are used to test the proposed framework’s prediction accuracy,responsiveness,and *** results show that the suggested framework successfully anticipates urban traffic issues in real-time,enables proactive traffic management,and aids in creating smarter,more sustainable cities.

关键词： Mobile AdHocNetworks(MANET) urban traffic prediction artificial intelligence(AI) traffic congestion chaotic spatial fuzzy polynomial neural network(CsFPNN)

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AKT2^(s128)/CCTα^(s315/319/323)-positive cancer-associated fibroblasts (CAFs) mediate focal adhesion kinase (FAK) inhibitors resistance via secreting phosphatidylcholines (PCs)

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signal Transduction and Targeted Therapy 2024年第2期9卷 782-796页

作者： Jie Chen Lingyuan Zhang Yuheng Zhu di Zhao Jing Zhang Yanmeng Zhu Jingyuan Pang Yuanfan Xiao Qingnan Wu Yan Wang Qimin Zhan Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Laboratory of Molecular OncologyPeking University Cancer Hospital&Institute100142 BeijingChina Peking University International Cancer Institute Peking University100191 BeijingChina Research Unit of Molecular Cancer Research Chinese Academy of Medical SciencesBeijingChina soochow University Cancer Institute Suzhou 215000China Institute of Cancer Research Shenzhen Bay LaboratoryShenzhen 518107China

Abnormal metabolism is regarded as an oncogenic hallmark related to tumor progression and therapeutic *** study employed multi-omics,including phosphoproteomics,untargeted metabolomics and lipidomics,to demonstrate that the pAKT2 ser128 and pCCTαser315/319/323-positive cancer-associated fibroblasts(CAFs)substantially release phosphatidylcholines(PCs),contributing to the resistance of focal adhesion kinase(FAK)inhibitors in esophageal squamous cell carcinoma(EsCC)***,we observed extremely low levels of FAK Tyr397 expression in CAFs,potentially offering no available target for FAK inhibitors playing their anti-growth role in ***,FAK inhibitor increased the intracellular concentration of Ca2+in CAFs,promoting the formation of AKT2/CCTαcomplex,leading to phosphorylation of CCTαser315/319/323 sites and eventually enhancing stromal PC *** activation could stimulate the intratumoral Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(sTAT3)pathway,triggering resistance to FAK *** of clinical samples demonstrated that stromal pAKT2 ser128 and pCCTαser315/319/323 are related to the tumor malignancy and reduced patient ***-targeted lipidomics and further validation cohort quantitatively showed that plasma PCs enable to distinguish the malignant extent of EsCC *** conclusion,inhibition of stroma-derived PCs and related pathway could be possible therapeutic strategies for tumor therapy.

关键词： CAFs metabolism resistance

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Towards sustainable solar cells:unveiling the latest developments in bio-nano materials for enhanced DssC efficiency

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Clean Energy 2024年第3期8卷 238-257页

作者： sethu Narayanan Tamilselvan s.shanmugan Research Centre for solar Energy Department of Engineering PhysicsCollege of EngineeringKoneru Lakshmaiah Education FoundationGreen FieldsGuntur DistrictVaddeswaramAndhra Pradesh 522502India

Fossil fuels-instrumental in powering the nineteenth-century Industrial Revolution-are now under heightened scrutiny due to environmental concerns and carbon ***,there is a global impetus towards achieving carbon-neutral energy production,with solar energy emerging as a cornerstone in this *** the past three decades,dye-sensitized solar cells(DssCs)have gained increasing prominence due to their unique *** review elucidates several crucial elements essential to DssC construction,notably bio-nano materials,prized for their structural flexibility,cost-effectiveness and high molar absorption *** delves into the intricate relationship between molecular structure and DssC performance,showcasing significant advancements with light-to-power conversion efficiencies reaching 11%.A comprehensive analysis of the photovoltaic performance of DssCs utilizing bio-nano-based dyes offers invaluable insights into the state of this rapidly evolving *** components under scrutiny include transparent conductive oxide(TCO)layers,physical techniques for metal oxide deposition onto TCO thin films,diverse dye variants and foundational knowledge of components ripe for growth and ***,the review outlines the latest breakthroughs in the field,providing glimpses into the current status of prototype DssCs.

关键词： DssC performance TCO thin films environmental solution

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Mitochondrial sensitive probe with aggregation-induced emission characteristics for early brain diagnosis of Parkinson’s disease

Aggregate

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Aggregate 2024年第1期5卷 216-227页

作者： Liwen Huang Yutong Zhou di Jiao Jing Ren Yilin Qi Heping Wang Yang shi Dan ding Xue Xue state Key Laboratory of Medicinal Chemical Biology College of PharmacyNankai UniversityTianjinP.R.China state Key Laboratory of Medicinal Chemical Biology Key Laboratory of Bioactive MaterialsMinistry of Educationand College of Life SciencesNankai UniversityTianjinP.R.China

The early diagnosis of Parkinson’s disease(PD)provides opportunities for early intervention to slow the progression of neurological degeneration in patients,particularly as the aging population increases in our *** a series of pathological features of PD,mitochondria abnormalities have been identified as central event that occurs at the early stage of ***,the method for detecting mitochondrial abnormalities-associated early PD has not been fully *** herein report a specifically mitochondrial targeting probe(named TPA-BT-sCP)that is able to characterize mitochondria abnormalities for early diagnosis of PD and monitor PD neurodegenerative *** probe is an aggregation-induced emission(AIE)probe with a strong positive charge,a 3D distorted molecular structure,and a separated HOMO-LUMO distribution,designed with unique molecular design *** research demonstrated that TPA-BT-sCP could emit stable and strong fluorescence,and rapidly accumulate in mitochondria due to the negative *** intranasal administration of 1-methy-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced PD mice,TPA-BT-sCP successfully bypassed the blood−brain barrier to light up the brain,allowing the grading of PD severity based on its high *** together,this work develops a novel AIE probe that exhibits dramatically high sensitivity to mitochondrial changes and enables noninvasive diagnosis of early PD in the brain.

关键词： aggregation-induced emission early diagnosis Parkinson’s disease

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CMAEs-WFD:Adversarial Website Fingerprinting Defense Based on Covariance Matrix Adaptation Evolution strategy

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Computers, Materials & Continua 2024年第5期79卷 2253-2276页

作者： di Wang Yuefei Zhu Jinlong Fei Maohua Guo school of Cyberspace security Information Engineering UniversityZhengzhou450000China

Website fingerprinting,also known asWF,is a traffic analysis attack that enables local eavesdroppers to infer a user’s browsing destination,even when using the Tor anonymity *** advanced attacks based on deep neural network(DNN)can performfeature engineering and attain accuracy rates of over 98%,research has demonstrated thatDNNis vulnerable to adversarial *** a result,many researchers have explored using adversarial samples as a defense mechanism against DNN-based WF attacks and have achieved considerable ***,these methods suffer from high bandwidth overhead or require access to the target model,which is *** paper proposes CMAEs-WFD,a black-box WF defense based on adversarial *** process of generating adversarial examples is transformed into a constrained optimization problem solved by utilizing the Covariance Matrix Adaptation Evolution strategy(CMAEs)optimization *** are injected into the local parts of the original traffic to control bandwidth *** to the experiment results,CMAEs-WFD was able to significantly decrease the accuracy of Deep Fingerprinting(DF)and VarCnn to below 8.3%and the bandwidth overhead to a maximum of only 14.6%and 20.5%,***,for Automated Website Fingerprinting(AWF)with simple structure,CMAEs-WFD reduced the classification accuracy to only 6.7%and the bandwidth overhead to less than 7.4%.Moreover,it was demonstrated that CMAEs-WFD was robust against adversarial training to a certain extent.

关键词： Traffic analysis deep neural network adversarial sample Tor website fingerprinting

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