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Balancing Exploration–Exploitation of Multi-verse Optimizer for Parameter Extraction on Photovoltaic Models

Journal of Bionic Engineering 2024年第2期21卷 1022-1054页

作者： Yan Han weibin chen Ali Asghar Heidari Huiling chen Xin Zhang College of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035China School of Surveying and Geospatial Engineering College of EngineeringUniversity of TehranTehranIran School of Biomedical Engineering National Engineering Research Center of Ophthalmology and OptometryEye HospitalWenzhou Medical UniversityWenzhou325027China Key Lab of Biohealth Materials and Chemistry of Wenzhou Wenzhou UniversityWenzhouChina Key Laboratory of Intelligent Informatics for Safety&Emergency of Zhejiang Province Wenzhou UniversityWenzhouChina

Extracting photovoltaic(PV)model parameters based on the measured voltage and current information is crucial in the simulation and management of PV systems.To accurately and reliably extract the unknown parameters of different PV models,this paper proposes an improved multi-verse optimizer that integrates an iterative chaos map and the Nelder–Mead simplex method,INMVO.Quantitative experiments verified that the proposed INMVO fueled by both mechanisms has more affluent populations and a more reasonable balance between exploration and exploitation.Further,to verify the feasibility and competitiveness of the proposal,this paper employed INMVO to extract the unknown parameters on single-diode,double-diode,three-diode,and PV module four well-known PV models,and the high-performance techniques are selected for comparison.In addition,the Wilcoxon signed-rank and Friedman tests were employed to test the experimental results statistically.Various evaluation metrics,such as root means square error,relative error,absolute error,and statistical test,demonstrate that the proposed INMVO works effectively and accurately to extract the unknown parameters on different PV models compared to other techniques.In addition,the capability of INMVO to stably and accurately extract unknown parameters was also verified on three commercial PV modules under different irradiance and temperatures.In conclusion,the proposal in this paper can be implemented as an advanced and reliable tool for extracting the unknown parameters of different PV models.Note that the source code of INMVO is available at https://***/woniuzuioupao/INMVO.

关键词： Photovoltaic models Multi-verse optimizer Nelder-Mead simplex Iterative chaos map

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Stabilizing iridium sites via interface and reconstruction regulations for water oxidation in alkaline and acidic media

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Journal of Energy Chemistry 2024年第2期89卷 355-363,I0009页

作者： weibin chen Yanhui Song Lei Li Junjie Guo Zhan Lin Guangdong Provincial Key Laboratory of Plant Resources Biorefinery School of Chemical Engineering and Light IndustryGuangdong University of TechnologyGuangzhou 510006GuangdongChina Key Laboratory of Interface Science and Engineering in AdvancedMaterials Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024ShanxiChina

Exploring effective iridium(Ir)-based electrocatalysts with stable iridium centers is highly desirable for oxygen evolution reaction(OER).Herein,we regulated the incorporation manner of Ir in Co_(3)O_(4)support to stabilize the Ir sites for effective OER.When anchored on the surface of Co_(3)O_(4)in the form of Ir(OH)_6 species,the created Ir-OH-Co interface leads to a limited stability and poor acidic OER due to Ir leaching.When doped into Co_(3)O_(4)lattice,the analyses of X-ray absorption spectroscopy,in-situ Raman,and OER measurements show that the partially replacement of Co in Co_(3)O_(4)by Ir atoms inclines to cause strong electronic effect and activate lattice oxygen in the presence of Ir-O-Co interface,and simultaneously master the reconstruction effect to mitigate Ir dissolution,realizing the improved OER activity and stability in alkaline and acidic environments.As a result,Ir_(lat)@Co_(3)O_(4)with Ir loading of 3.67 wt%requires 294±4 mV/285±3 mV and 326±2 mV to deliver 10 mA cm^(-2)in alkaline(0.1 M KOH/1.0 M KOH)and acidic(0.5 M H_(2)SO_(4))solution,respectively,with good stability.

关键词： Interface effect Reconstruction Ir dissolution Ir-O-Co Oxygen evolution reaction

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Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images

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Journal of Bionic Engineering 2023年第3期20卷 1198-1262页

作者： Yan Han weibin chen Ali Asghar Heidari Huiling chen Department of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035China School of Surveying and Geospatial Engineering College of EngineeringUniversity of TehranTehranIran

Coronavirus Disease 2019(COVID-19)is the most severe epidemic that is prevalent all over the world.How quickly and accurately identifying COVID-19 is of great significance to controlling the spread speed of the epidemic.Moreover,it is essential to accurately and rapidly identify COVID-19 lesions by analyzing Chest X-ray images.As we all know,image segmentation is a critical stage in image processing and analysis.To achieve better image segmentation results,this paper proposes to improve the multi-verse optimizer algorithm using the Rosenbrock method and diffusion mechanism named RDMVO.Then utilizes RDMVO to calculate the maximum Kapur’s entropy for multilevel threshold image segmentation.This image segmentation scheme is called RDMVO-MIS.We ran two sets of experiments to test the performance of RDMVO and RDMVO-MIS.First,RDMVO was compared with other excellent peers on IEEE CEC2017 to test the performance of RDMVO on benchmark functions.Second,the image segmentation experiment was carried out using RDMVO-MIS,and some meta-heuristic algorithms were selected as comparisons.The test image dataset includes Berkeley images and COVID-19 Chest X-ray images.The experimental results verify that RDMVO is highly competitive in benchmark functions and image segmentation experiments compared with other meta-heuristic algorithms.

关键词： COVID-19 Multilevel threshold image segmentation Kapur’s entropy Multi-verse optimizer Meta-heuristic algorithm Bionic algorithm

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Finite-time coordinated path-following control of leader-following multi-agent systems

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Frontiers of Information Technology & Electronic Engineering 2022年第10期23卷 1511-1521页

作者： weibin chen Yangyang chen Ya ZHANG School of Automation Southeast UniversityNanjing 210096China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China Robot Department Jiangsu Automation Research InstituteLianyungang 222061China

This paper presents applications of the continuous feedback method to achieve path-following and a formation moving along the desired orbits within a finite time.It is assumed that the topology for the virtual leader and followers is directed.An additional condition of the so-called barrier function is designed to make all agents move within a limited area.A novel continuous finite-time path-following control law is first designed based on the barrier function and backstepping.Then a novel continuous finite-time formation algorithm is designed by regarding the path-following errors as disturbances.The settling-time properties of the resulting system are studied in detail and simulations are presented to validate the proposed strategies.

关键词： Finite-time Coordinated path-following Multi-agent systems Barrier function

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Recent progress on mechanisms,principles,and strategies for high-activity and high-stability non-PGM fuel cell catalyst design

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Carbon Energy 2024年第5期6卷 25-52页

作者： Yuping Yuan Yun Zheng Dan Luo weibin Qiu Jiantao Wang Xin Wang Zhongwei chen GRINM(Guangdong)Institute of New Materials Technology FoshanChina Department of Chemical Engineering Waterloo Institute for NanotechnologyWaterloo Institute for Sustainable EnergyUniversity of WaterlooWaterlooOntarioCanada Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices School of Information and Optoelectronic Science and EngineeringSouth China Normal UniversityGuangdongChina National Power Battery Innovation Center GRINM Group Co.Ltd.BeijingChina

The commercialization of a polymer membrane H2-O2 fuel cell and its widespread use call for the development of cost-effective oxygen reduction reaction(ORR)nonplatinum group metal(NPGM)catalysts.Nevertheless,to meet the requests for the real-world fuel cell application and replacing platinum catalysts,it still needs to address some challenges for NPGM catalysts regarding the sluggish ORR kinetics in the cathode and their poor durability in acidic environment.In response to these issues,numerous efforts have been made to study NPGM catalysts both theoretically and experimentally,developed these into the atomically dispersed coordinated metal-nitrogen-carbon(M-N-C)form over the past decades.In this review,we present a comprehensive summary of recent advancements on NPGM catalysts with high activity and durability.Catalyst design strategies in terms of optimizing active-site density and enhancing catalyst stability against demetalization and carbon corrosion are highlighted.It is also emphasized the importance of understanding the mechanisms and principles behind those strategies through a combination of theoretical modeling and experimental work.Especially,further understanding the mechanisms related to the active-site structure and the formation process of the single-atom active site under pyrolysis conditions is critical for active-site engineering.Optimizing the active-site distance is the basic principle for improving catalyst activity through increasing the catalyst active-site density.Theoretical studies for the catalyst deactivation mechanism and modeling stable active-site structures provide both mechanisms and principles to improve the NPGM catalyst durability.Finally,currently remained challenges and perspectives in the future on designing high-performance atomically dispersed NPGM catalysts toward fuel cell application are discussed.

关键词： batteries electrocatalysis energy storage and conversion fuel cells

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Discovery of Novel Anthranilic Diamide Derivatives Bearing Sulfoximine Group as Potent Insecticide Candidates

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Chemical Research in Chinese Universities 2024年第1期40卷 96-108页

作者： ZHANG Hongyuan PENG Jinmin ZHONG Yuanhan chen Yue WANG Qing Haditullah HADIATULLAH XIE weibin XIONG Lixia YUCHI Zhiguang LIU Jingbo LI Yuxin State Key Laboratory of Elemento-Organic Chemistry College of ChemistryNankai UniversityTianjin300071P.R.China Nankai University&Cangzhou Bohai New Area Institute of Green Chemical Engineering Changzhou062550P.R.China College of Horticulture and Landscape Architecture Tianjin Agricultural UniversityTianjin300392P.R.China Tianjin Key Laboratory for Modern Drug Delivery and High-efficiency Collaborative Innovation Center of Chemical Science and EngineeringSchool of Pharmaceutical Science and TechnologyTianjin UniversityTianjin300072P.R.China

The fall armyworm,Spodoptera frugiperda(S.frugiperda),represents the most resistant insect species and poses serious threat to grain yield.Chlorantraniliprole(CHL),which targets the ryanodine receptors(RyRs)in insects,has demonstrated the efficacy in controlling S.frugiperda.Nevertheless,this has led to emerging resistance in several countries.To counter this resistance,a viable approach involves the development of novel compounds that bind against RyRs via distinct binding sites or modes.In this study,a series of 22 novel anthranilic diamide derivatives was designed and synthesized,and their insecticidal activities were evaluated.Most of these derivatives showed moderate to good insecticidal activity against S.frugiperda and Mythimna separata.Time-lapse fluorescence measurements of endoplasmic reticulum luminal calcium revealed that most derivatives elicited cellular responses similar as CHL when assessed on HEK293 cells expressing S.frugiperda ryanodine receptors(SfRyRs).The mode of action of compound 13a was studied and verified on the isolated neurons by calcium imaging technique.Finally,molecular docking analysis was employed to predict the binding mechanism of compound 13a against SfRyRs.Overall,these novel diamide derivatives hold promise as a valuable resource for guiding the future design of insecticidal compounds targeting RyRs.

关键词： Anthranilic diamide derivative Sulfoximine Spodoptera frugiperda Mode of action Molecular docking

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Distributed Active Partial Label Learning

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Intelligent Automation & Soft Computing 2023年第9期37卷 2627-2650页

作者： Zhen Xu weibin chen Key Laboratory of Intelligent Informatics for Safety&Emergency of Zhejiang Province Wenzhou UniversityWenzhou325006China College of Computer Science and Artificial Intelligence Engineering Wenzhou UniversityWenzhou325006China

Active learning(AL)trains a high-precision predictor model from small numbers of labeled data by iteratively annotating the most valuable data sample from an unlabeled data pool with a class label throughout the learning process.However,most current AL methods start with the premise that the labels queried at AL rounds must be free of ambiguity,which may be unrealistic in some real-world applications where only a set of candidate labels can be obtained for selected data.Besides,most of the existing AL algorithms only consider the case of centralized processing,which necessitates gathering together all the unlabeled data in one fusion center for selection.Considering that data are collected/stored at different nodes over a network in many real-world scenarios,distributed processing is chosen here.In this paper,the issue of distributed classification of partially labeled(PL)data obtained by a fully decentralized AL method is focused on,and a distributed active partial label learning(dAPLL)algorithm is proposed.Our proposed algorithm is composed of a fully decentralized sample selection strategy and a distributed partial label learning(PLL)algorithm.During the sample selection process,both the uncertainty and representativeness of the data are measured based on the global cluster centers obtained by a distributed clustering method,and the valuable samples are chosen in turn.Meanwhile,using the disambiguation-free strategy,a series of binary classification problems can be constructed,and the corresponding cost-sensitive classifiers can be cooperatively trained in a distributed manner.The experiment results conducted on several datasets demonstrate that the performance of the dAPLL algorithm is comparable to that of the corresponding centralized method and is superior to the existing active PLL(APLL)method in different parameter configurations.Besides,our proposed algorithm outperforms several current PLL methods using the random selection strategy,especially when only small amounts of data are selected to be assigned

关键词： Active learning partial label learning distributed processing disambiguation-free strategy

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A comprehensive review on the potential therapeutic benefits of prospective probiotic Christensenella minuta

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Food Science and Human Wellness 2024年

作者： Yueyao Fan Yuhang Xiao Yingying Zhang Shiqing Zhang weibin Bai Jiali chen Department of Food Science and Engineering Institute of Food Safety and Nutrition Guangdong Engineering Technology Center of Food Safety Molecular Rapid Detection Jinan University State Key Laboratory of Bioactive Molecules and Druggability Assessment Jinan University Centre for Cancer and Inflammation Research School of Chinese Medicine Hong Kong Baptist University

Bacterial family Christensenellaceae performed high heritability and associated with human health status. Numerous studies observed that the abundance of Christensenellaceae could be significantly reduced in patients with intestinal diseases or metabolic disorders， inferred that it may be treated as an effective biomarker. Christensenella minuta (C. minuta) was the first member of Christensenellaceae family isolated from human fecal samples. Accumulating evidences suggested that C. minuta may demonstrate a positive bio-therapeutic effects toward unhealthy status. Hence， this review aimed to systematically summarize the characterization of Christensenellaceae under specific health or diseases， and discover its promising application. Besides， the latest studies on the pharmacological research of C. minuta also summarized. Current important literatures grasped the potential health benefits of C. minuta in managing metabolic disorders， gut ecosystem， and inflammation. Whereas， several critical knowledge gaps about the safe and clinical application remain should be addressed in future verification. C. minuta is worthy to be elevated as the next prospective probiotic star in nutraceutical or medical field and should not be overlooked.

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Natural variation in maize gene ZmSBR1 confers seedling resistance to Fusarium verticillioides

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The Crop Journal 2024年第3期12卷 836-844页

作者： Yunxia Song Peipei Ma Jingyang Gao Chaopei Dong Zhao Wang Yifan Luan Jiafa chen Doudou Sun Pei Jing Xuecai Zhang weibin Song Zijian Zhou Jianyu Wu College of Agronomy Henan Agricultural UniversityZhengzhou 450002HenanChina College of Life Sciences Henan Agricultural UniversityZhengzhou 450002HenanChina Global Maize Program International Maize and Wheat Improvement Center(CIMMYT)Apdo 6-64106600 MexicoDFMexico National Maize Improvement Center Department of Plant Genetics and BreedingChina Agricultural UniversityBeijing 100193China

Maize seedling blight caused by Fusarium verticillioides is a widely occurring maize disease,but the genetics and mechanisms of resistance are not well understood.In this study,GWAS performed by MLM and 3VmrMLM identified 40 and 20 QTNs,associated with seedling blight resistance.These methods identified 49 and 36 genes,respectively.Functional verification of candidate gene ZmSBR1 identified by both methods showed that the resistance of a mutant line to seedling blight decreased by 0.37 grade points after inoculation with F.verticillioides,compared with the WT.The length of the stem rot lesion caused by F.verticillioides increased by 86%in mutant seedlings,and the relative length of the adult plant stalk rot increased by 35%in mutant plants compared to the wild type after inoculation with Fusarium graminearum.Transcriptome analysis showed that expression of defense-related genes after inoculation was down-regulated in the mutant compared to the wild type,synthesis of secondary metabolites associated with resistance was reduced,and the immune response triggered by PAMP decreased,resulting in decreased resistance of mutant maize seedlings.Candidate gene association analysis showed that most maize inbred lines carried the susceptible haplotype.A functional PCR marker was developed.The results demonstrated that ZmSBR1 conferred resistance to multiple Fusarium diseases at the seedling and adult growth stages and had important application value in breeding.

关键词： Seedling blight Stalk rot Multiple disease resistance

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Magnetic coupling governed pinning directions in magnetic tunnel junctions under magnetic field annealing with zero magnetic field cooling

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Science China(Information Sciences) 2023年第4期66卷 305-306页

作者： weibin chen Shaohua YAN Zhiqiang CAO Shiyang LU Xiaonan ZHAO Runrun HAO Zitong ZHOU Zhi LI Kun ZHANG Shishen YAN Qunwen LENG School of Physics State Key Laboratory of Crystal Materials Shandong University Fert Beijing Institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and Engineering Beihang University

With the rapid development of emerging concepts, such as the Internet of things and big data, the use of various magnetoresistance(MR) sensors, especially tunneling MR(TMR) in magnetic tunnel junctions(MTJs), for information perception is considered the critical first step. A typical topic in this field is the construction of a Wheatstone bridge structure to restrain the temperature drift and amplify the magnetic response signal.

关键词： Magnetic fields

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