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Evolutionary Particle Swarm Optimization Algorithm Based on Collective Prediction for Deployment of Base Stations

Computers, Materials & Continua 2025年第1期82卷 345-369页

作者： Jiaying Shen Donglin Zhu Yujia Liu Leyi Wang Jialing hu Zhaolong Ouyang Changjun Zhou Taiyong Li School of Computer Science and Technology Zhejiang Normal UniversityJinhua321004China School of Future Technologies Jiangxi Institute of Applied Science and TechnologyNanchang330000China School of Computing and Artificial Intelligence Southwestern University of Finance and EconomicsChengdu611130China

The wireless signals emitted by base stations serve as a vital link connecting people in today’s society and have been occupying an increasingly important role in real *** development of the Internet of Things(IoT)relies on the support of base stations,which provide a solid foundation for achieving a more intelligent way of *** a specific area,achieving higher signal coverage with fewer base stations has become an urgent ***,this article focuses on the effective coverage area of base station signals and proposes a novel Evolutionary Particle Swarm Optimization(EPSO)algorithm based on collective prediction,referred to herein as *** a new strategy called neighbor-based evolution prediction(NEP)addresses the issue of premature convergence often encountered by *** also employs a strengthening evolution(SE)strategy to enhance the algorithm’s global search capability and efficiency,ensuring enhanced robustness and a faster convergence speed when solving complex optimization *** better adapt to the actual communication needs of base stations,this article conducts simulation experiments by changing the number of base *** experimental results demonstrate thatunder the conditionof 50 ormore base stations,ECPPSOconsistently achieves the best coverage rate exceeding 95%,peaking at 99.4400%when the number of base stations reaches *** results validate the optimization capability of the ECPPSO algorithm,proving its feasibility and *** ablative experiments and comparisons with other algorithms highlight the advantages of ECPPSO.

关键词： Particle swarm optimization effective coverage area global optimization base station deployment

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Toward accurate measurement of property-dependent galaxy clustering *** of the Vmax method and the“shuffled”method

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Research in Astronomy and Astrophysics 2020年第4期20卷 87-98页

作者： Lei Yang yi-Peng jing Zhi-Gang Li Xiao-hu Yang Department of Astronomy School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China Tsung-Dao Lee Institute and Shanghai Key Laboratory for Particle Physics and CosmologyShanghai Jiao Tong UniversityShanghai 200240China College of Physics and Electronic Engineering Nanyang Normal UniversityNanyang 473061China

Galaxy clustering provides insightful clues to our understanding of galaxy formation and evolution,as well as the *** redshift assignment for the random sample is one of the key steps to accurately measure galaxy *** this paper,by virtue of the mock galaxy catalogs,we investigate the effect of two redshift assignment methods on the measurement of galaxy two-point correlation functions(hereafter 2 PCFs),the Vmax method and the"shuffled"*** have found that the shuffled method significantly underestimates both of the projected 2 PCFs and the two-dimensional 2 PCFs in redshift space,while the Vmax method does not show any notable bias on the 2 PCFs for volume-limited *** fluxlimited samples,the bias produced by the Vmax method is less than half of the shuffled method on large ***,we strongly recommend the Vmax method to assign redshifts to random samples in the future galaxy clustering analysis.

关键词： galaxies:statistics galaxies:galaxy formation and evolution large-scale structure of universe

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Catalyst–Support Interaction in Polyaniline‑Supported Ni_(3)Fe Oxide to Boost Oxygen Evolution Activities for Rechargeable Zn‑Air Batteries

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Nano-Micro Letters 2025年第1期17卷 176-190页

作者： Xiaohong Zou Qian Lu Mingcong Tang Jie Wu Kouer Zhang Wenzhi Li Yunxia hu Xiaomin Xu Xiao Zhang Zongping Shao Liang An Department of Mechanical Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and TechnologyNanjing University of Information Science and TechnologyNanjing 210044People’s Republic of China Department of Chemistry The Chinese University of Hong KongMa Lin BuildingShatinHong Kong SAR 999077People’s Republic of China WA School of Mines:Minerals Energy and Chemical Engineering(WASM‑MECE)Curtin UniversityPerthWA 6102Australia Research Institute for Advanced Manufacturing The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China Research Institute for Smart Energy The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China

Catalyst–support interaction plays a crucial role in improving the catalytic activity of oxygen evolution reaction(OER).Here we modulate the catalyst–support interaction in polyaniline-supported Ni_(3)Fe oxide(Ni_(3)Fe oxide/PANI)with a robust hetero-interface,which significantly improves oxygen evolution activities with an overpotential of 270 mV at 10 mA cm^(-2)and specific activity of 2.08 mA cm_(ECSA)^(-2)at overpotential of 300 mV,3.84-fold that of Ni_(3)Fe *** is revealed that the catalyst–support interaction between Ni_(3)Fe oxide and PANI support enhances the Ni–O covalency via the interfacial Ni–N bond,thus promoting the charge and mass transfer on Ni_(3)Fe *** the excellent activity and stability,rechargeable Zn-air batteries with optimum Ni_(3)Fe oxide/PANI are assembled,delivering a low charge voltage of 1.95 V to cycle for 400 h at 10 mA cm^(-2).The regulation of the effect of catalyst–support interaction on catalytic activity provides new possibilities for the future design of highly efficient OER catalysts.

关键词： Catalyst-support interaction Supported catalysts Heterointerface Oxygen evolution reaction Zn-air batteries

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An Enhanced Dual-Layer Ensemble Framework for Porosity Prediction Utilizing Conventional Well Logging Data

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Journal of Earth Science 2025年

作者： Lu Qiao Shengyu Yang Qinhong hu huijun Wang Taohua He National Key Laboratory of Deep Oil and Gas， China University of Petroleum (East China) Laboratory for Marine Mineral Resources， Qingdao National Laboratory for Marine Science and Technology hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University)， Yangtze University

Porosity is the one of the most fundamental and critical parameters for reservoir characterization and is closely related to the hydrocarbon storage capacity. The interpretation methods of conventional well logs have poor generalization capabilities to achieve the desired accuracy in porosity prediction. The increasing adoption of machine learning has ameliorated this predicament to some extent， but it remains difficult to reconstruct the complex and nonlinear relationship between logging responses and porosity by relying on individual machine learning models alone. This work proposes a two-layer model ensemble framework to predicte porosity， which includes base regressors in the first layer and meta regressor in the second layer. The results indicate that the Light Gradient Boosting Machine (LightGBM) - Categorical-Features Gradient Boosting (CatBoost) ensemble model provides the highest prediction accuracy for the given dataset and is applied for porosity evaluation at other logged depths. This work also points out that the base regressor should be accurate and complex， while the structure of the meta-regressor should be simple in order to achieve the desired performance. Furthermore， the proposed model ensemble framework is versatile and applicable to reservoir evaluation， engineering development， and other potential fields due to its effectiveness and convenience.

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Establishment of human cerebral organoid systems to model early neural development and assess the central neurotoxicity of environmental toxins

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Neural Regeneration Research 2025年第1期20卷 242-252页

作者： Daiyu hu Yuanqing Cao Chenglin Cai Guangming Wang Min Zhou Luying Peng Yantao Fan Qiong Lai Zhengliang Gao Fundamental Research Center Shanghai Yangzhi Rehabilitation Hospital(Shanghai Sunshine Rehabilitation Center)School of MedicineTongji UniversityShanghaiChina Institute of Geriatrics(Shanghai University) Affiliated Nantong Hospital of Shanghai University(The Sixth People’s Hospital of Nantong)Shanghai University School of MedicineNantongJiangsu ProvinceChina Shanghai Engineering Research Center of Organ Repair Shanghai University School of MedicineShanghaiChina Key Laboratory of Arrhythmias Ministry of EducationShanghai East HospitalSchool of MedicineTongji UniversityShanghaiChina

human brain development is a complex process,and animal models often have significant *** address this,researchers have developed pluripotent stem cell-derived three-dimensional structures,known as brain-like organoids,to more accurately model early human brain development and *** enable more consistent and intuitive reproduction of early brain development,in this study,we incorporated forebrain organoid culture technology into the traditional unguided method of brain organoid *** involved embedding organoids in matrigel for only 7 days during the rapid expansion phase of the neural epithelium and then removing them from the matrigel for further cultivation,resulting in a new type of human brain organoid *** cerebral organoid system replicated the temporospatial characteristics of early human brain development,including neuroepithelium derivation,neural progenitor cell production and maintenance,neuron differentiation and migration,and cortical layer patterning and formation,providing more consistent and reproducible organoids for developmental modeling and toxicology *** a proof of concept,we applied the heavy metal cadmium to this newly improved organoid system to test whether it could be used to evaluate the neurotoxicity of environmental *** organoids exposed to cadmium for 7 or 14 days manifested severe damage and abnormalities in their neurodevelopmental patterns,including bursts of cortical cell death and premature *** exposure caused progressive depletion of neural progenitor cells and loss of organoid integrity,accompanied by compensatory cell proliferation at ectopic *** convenience,flexibility,and controllability of this newly developed organoid platform make it a powerful and affordable alternative to animal models for use in neurodevelopmental,neurological,and neurotoxicological studies.

关键词： cadmium cell death cell proliferation cortical development environmental toxins neural progenitor cells neurogenesis neurotoxicology organoids stem cells

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E-PRedictor: an approach for early prediction of pull request acceptance

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Science China(Information Sciences) 2025年

作者： Kexing CHEN Lingfeng BAO Xing hu Xin XIA Xiaohu YANG State Key Laboratory of Blockchain and Data Security Zhejiang University Software Engineering Application Technology Lab

A pull request (PR) is an event in Git where a contributor asks project maintainers to review code he/she wants to merge into a project. The PR mechanism greatly improves the efficiency of distributed software development in the opensource community. Nevertheless, the massive number of PRs in an open-source software (OSS) project increases the workload of developers. To reduce the burden on developers, many previous studies have investigated factors that affect the chance of PRs getting accepted and built prediction models based on these factors. However, most prediction models are built on the data after PRs are submitted for a while (e.g., comments on PRs), making them not useful in practice. Because integrators still need to spend a large amount of effort on inspecting PRs. In this study, we propose an approach named E-PRedictor (earlier PR predictor) to predict whether a PR will be merged when it is created. E-PRedictor combines three dimensions of manual statistic features (i.e., contributor profile, specific pull request, and project profile) and deep semantic features generated by BERT models based on the description and code changes of PRs. To evaluate the performance of E-PRedictor, we collect475192 PRs from 49 popular open-source projects on Github. The experiment results show that our proposed approach can effectively predict whether a PR will be merged or not. E-PRedictor outperforms the baseline models (e.g., Random Forest and VDCNN) built on manual features significantly. In terms of F1@Merge, F1@Reject, and AUC (area under the receiver operating characteristic curve), the performance of E-PRedictor is 90.1%, 60.5%, and 85.4%, respectively.

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Microstructural characterization in 7 at% Al-containing NiTi-based alloys

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Rare Metals 2014年第5期33卷 534-540页

作者： Li-jing Zheng yi-hui Guo Lei Zhou Xiao-Li Zhang hu Zhang Key Laboratory of Aerospace Advanced Materials and Performance of Ministry of Education School of Materials Science and Engineering Beijing University of Aeronautics and Astronautics Department of Military Logistics Military Transportation University

The microstructural evolution of Ni–42Ti–7Al and Ni–41Ti–7Al alloys as a function of solution and aging heat treatment was investigated using transmission electron microscopy（TEM）, electron probe, and X-ray diffraction（XRD）. The results reveal that the volume fraction of Ti2 Ni phase as well as its composition does not change significantly after as-solution treated at 1200 °C and aged at 850 °C. At the early stage of the aging treatment at 850 °C for 1 h, the cuboidal β＇ precipitate keeps coherency with the matrix; further aging, β＇ precipitate coarsens, and the semicoherency between the β/β＇ two phases are *** shape of coarsened β＇ precipitates changes to the globule, and the interface dislocations are introduced accompanied by the occurrence of semicoherent precipitates. Under the same heat treatment, compared to the Ni–42Ti–7Al alloy, the lattice misfits of the Ni–41Ti–7Al alloy between the β and β＇ two phases are larger, so the β＇ precipitates in Ni–41Ti–7Al alloy are coarsened severely and easily lose coherency with the matrix. The thermal stability of Ni–41Ti–7Al alloy is much worse when aging at 850 °C.

关键词： NiTi–Al alloys Ti2Ni phase β'precipitate Microstructure

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Enteroaggregative Escherichia aoliisolated from Chinese diarrhea patients with high-pathogenicity island of Yersinia'xs involved in synthesis of siderophore yersiniabactin

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World Journal of Gastroenterology 2005年第37期11卷 5816-5820页

作者： jing hu Biao Kan Zhi-hua Liu Shou-yi Yu Department of Epidemiology Southern Medical College Guangzhou 510515 Guangdong Province China Department of Genetics Institute of Epidemiology and MicrobiologyChinese Center for Disease Control and Prevention Beijing 102206 China Department of Infectious Diseases Nanfang Hospital Southem Medical College Guangzhou 510515 Guangdong Province China

AIM: To investigate the distribution of 12 high-pathogenicity island (HPI) genes and the relation between HPI genes and expression of yersiniabactin (Ybt) in enteroaggregative ***(EAggEC) isolated from Chinese diarrhea ***: The distribution of 12 HPI genes was investigated by PCR and DNA hybridization in two prototype strains of EAggEC, EAggEC 17-2, EAggEC O42, and 6 clinical EAggEC isolates from China. The production of siderophore Ybt in HPI-positive strains was detected by reporter gene bioassay to determine the relation between HPI genes and expression of Ybt. Flow cytometry was used to detect fluorescent signal of the reporter strain that could designate production of ***: Seven strains were HPI-positive and one strain was HPI-negative. Six of the seven HPI-positive strains were inserted into asnT-tRNA site. Moreover, seven EAggEC HPI-positive strains revealed enhanced fluorescence signal but the EAggEC HPI-negative strain did not. However, there was a difference in Ybt expression condition and level among these seven EAggEC HPI-positive strains. Although UFT073 strain, the prototype strain of uropathogenic ***(UPEC), carried the complete HPI core part, we did not detect the expression of Ybt in ***: EAggEC HPI-positive strains can express the Ybt system, but the presence of HPI core part does not mean the functional expression of Ybt.

关键词： High-pathogenicity island Enteroaggregative Escherichia colt, Yersiniabactin

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成渝地区中老年人群代谢综合征流行病学特征及其相关因素

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中国动脉硬化杂志 2017年第2期25卷 186-190页

作者：黄晓波刘雅陈飞易延静胡泰上徐俊波胡蓉张兴渝袁宁欧阳凌云胡咏梅刘剑雄成都市第二人民医院心内科四川省成都市610016 四川大学公共卫生学院医学统计系四川省成都市610041 重庆医科大学公共卫生学院重庆市400016 重庆医科大学附属第二医院心内科重庆市400010 重庆北部新区人民医院内科重庆市400011 成都市第二人民医院内分泌科四川省成都市610016

目的探讨成渝地区中老年人群代谢综合征流行病学特征及其相关危险因素。方法于2013年采用分层整群抽样的方法,调查成渝城乡地区40~79岁中老年人7807例,进行身高、体重、血压、血脂及口服葡萄糖耐量试验(OGTT)等检测。用统一设计的调查... 详细信息

目的探讨成渝地区中老年人群代谢综合征流行病学特征及其相关危险因素。方法于2013年采用分层整群抽样的方法,调查成渝城乡地区40~79岁中老年人7807例,进行身高、体重、血压、血脂及口服葡萄糖耐量试验(OGTT)等检测。用统一设计的调查表对研究对象进行面对面的问卷调查。代谢综合征诊断标准采用中华医学会糖尿病学分会标准。结果成渝地区中老年人群代谢综合征患病率为13.8%。男性患病率为13.3%,女性患病率为14.1%,两性患病率无统计学差异。城区患病率为14.6%,农村患病率为10.6%,城市患病率高于农村。40~69岁研究人群代谢综合征患病率逐渐升高。年龄、腹型肥胖、缺乏体育锻炼是成渝地区中老年男性代谢综合征主要的危险因素;年龄、一级亲属高血压病史、腹型肥胖是成渝地区中老年女性代谢综合征主要的危险因素。结论成渝地区中老年人群代谢综合征患病率较高。控制合理的腰围,对于人群代谢综合征的预防、干预以及阻止心血管疾病的发生发展可能有重要意义。

关键词：中老年代谢综合征患病率危险因素

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Effects of Substrate Crystallographic Orientations on Microstructure in Laser Surface-Melted Single-Crystal Superalloy:Theoretical Analysis

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Acta Metallurgica Sinica(English Letters) 2016年第8期29卷 763-773页

作者： Guo-Wei Wang jing-jing Liang yi-Zhou Zhou Tao Jin Xiao-Feng Sun Zhuang-Qi hu Institute of Metal Research Chinese Academy of Sciences School of Materials Science and Engineering University of Science and Technology of China

A geometric analysis technique for crystal growth and microstructure development in single-crystal welds had been previously *** the effect of welding conditions on the tendency of stray grains formation during solidification was *** the present work,these analytical methods were further *** with an original vectorization method,a 3D Rosenthal solution was used to determine thermal conditions of the ***,the dendrite growth orientation,the dendrite growth velocity and the thermal gradient along dendrite direction were calculated and lively ***,the tendency of stray grains formation in the solidification front was forecasted and its distribution was presented with a 3D *** results indicate that substrate orientation has some impacts on the crystal growth pattern,dendrite growth velocity,distribution of thermal gradient and stray *** on the research methods proposed in this work,any substrate crystallographic orientation can be studied,and predicted stray grains distribution can be visualized.

关键词： Single crystal Laser surface remelting Weld repair Modeling Stray grains distribution

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