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Enhanced Neutrosophic Set and Machine Learning Approach for Kidney Disease Prediction

Neutrosophic Sets and Systems 2025年 80卷 465-477页

作者： Al-Doori, Humam M. Alkellezli, Tareef S. Abdelhafeez, Ahmed Eassaa, Mohamed Sawah, Mohamed S. El-Douh, Ahmed A. Cybersecurity Sciences Department College of Science Ashur University Baghdad Iraq Cybersecurity Engineering Department College of Engineering Ashur University Baghdad Iraq Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt Applied Science Research Center Applied Science Private University Amman Jordan Department of Computer Science Faculty of Information Technology Ajloun National University P.O.43 Ajloun26810 Jordan Cybersecurity Technology Engineering Department College of Engineering Technology Ashur University Baghdad Iraq

Kidney disease (KD) is a gradually increasing global health concern. It is a chronic illness linked to higher rates of morbidity and mortality, a higher risk of cardiovascular disease and numerous other illnesses, and expensive medical expenses. The machine learning (ML) models are applied for KD prediction with higher accuracy and precision. The KD dataset has uncertainty and vague information, so, we used the neutrosophic set (NS) to deal with vague and uncertainty information in the KD dataset. The KD dataset is converted into the N-KD dataset with three membership functions: truth, indeterminacy, and falsity. Three ML models are used in this study such as logistic regression (LR), support vector machine (SVM), and k-nearest neighbor (KNN). These ML models are applied to the N-KD dataset. The results show the LR has higher accuracy and precision on the N-KD dataset than the original KD dataset. © 2025, University of New Mexico. All rights reserved.

关键词： Logistic regression

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Trace Ca alloying enhance simultaneously strength and ductility of squeeze-cast Al-5Cu-0.5Mn-based alloys

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Journal of Materials science & technology 2024年第24期191卷 89-105页

作者： Zhanwei Su Zhuoran Zeng Sai Zhang Xianming Meng Shiwei Xu State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan UniversityChangsha 410082China College of Materials Science and Engineering Hunan UniversityChangsha 410082China China Automotive Technology&Research Center Co.Ltd Tianjin 300300China

The strength-ductility inversion relationship of alloys is a persistent challenge in advanced materials ***-Cu series cast aluminum alloys that are considered as an exceptionally high-strength light alloy are not exclusive in structural applications due to their inherently poor *** this work,we employed a squeeze casting technique and Ca microalloying strategy for microstructure modulation to effectively address this *** addition of low concentrations of Ca(0.5 wt.%and 1 wt.%)elements to the as-cast Al-5Cu-0.5Mn alloy significantly enhances its plasticity by threefold at room ***,even after T6 treatment,which typically compromises ductility for increased strength,the low-Ca micro-alloyed Al-5Cu-0.5Mn exhibited a further increase in its strength without sacrificing its *** low-Ca addition to the alloy generates an ultrafine eutectic colony with a complex"coreshell"structure,which can serve as a carrier for localized stress transfer,effectively distributing the strain uniformly to more *** hardening of α-Al grains and spheroidization of lamellar ultrafine eutectic phases were simultaneously realized in the low-Ca alloy after T6 heat treatment,which resulted in comparable hardness of α-Al grains and eutectic *** synergistic coordination of external strains through extensive strain-hardening induced by slip line and substantial microcrack generation by ultrafine eutectic colonies is evidenced by a series of in situ characterizations of the low-Ca ***,the uniform spreading deformation due to the transfer of strain-hardening effect and the alternating plastic deformation of α-Al grains and ultrafine eutectic colonies are the critical keys to overcoming the strength-plasticity paradox in low-Ca *** study provides a perspective route for Al-Cu system cast aluminum alloys to be utilized as high-strength and tough structural materials.

关键词： Al-Cu-Mn-Ca alloy Squeeze casting Plasticity mechanism Cracking mechanism

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Recent advances in microenvironment regulation for electrocatalysis

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National science Review 2024年第12期11卷 38-58页

作者： Zhiyuan Xu Xin Tan Chang Chen Xingdong Wang Rui Sui Zhongbin Zhuang Chao Zhang Chen Chen Engineering Research Center of Advanced Rare Earth Materials Department of Chemistry Tsinghua University Research Institute of Petroleum Processing SINOPEC State Key Lab of Organic-Inorganic Composites Beijing University of Chemical Technology MOE International Joint Laboratory of Materials Microstructure Institute for New Energy Materials and Low-Carbon Technologies School of Materials Science and EngineeringTianjin University of Technology

High-efficiency electrocatalysis could serve as the bridge that connects renewable energy technologies,hydrogen economy and carbon capture/utilization, promising a sustainable future for humankind. It is therefore of paramount significance to explore feasible strategies to modulate the relevant electrocatalytic reactions and optimize device performances so as to promote their large-scale practical *** regulation at the catalytic interface has been demonstrated to be capable of effectively enhancing the reaction rates and improving the selectivities for specific products. In this review we summarize the latest advances in microenvironment regulation in typical electrocatalytic processes(including water electrolysis, hydrogen–oxygen fuel cells, and carbon dioxide reduction) and the related in situ/operando characterization techniques and theoretical simulation methods. At the end of this article, we present an outlook on development trends and possible future directions.

关键词： microenvironment regulation electrical double layer hydrogen electrocatalysis oxygen electrocatalysis CO reduction reaction

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Unraveling the reaction reversibility and structure stability of nickel sulfide anodes for lithium ion batteries

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Journal of Energy Chemistry 2023年第5期80卷 392-401,I0010页

作者： Yu Huang Chunyuan Liang Yueling Cai Yi Zhou Bingkun Guo Jipeng Cheng Heguang Liu Peng Wang Qianqian Li Anmin Nie Hongtao Wang Jinsong Wu Tongyi Zhang Materials Genome Institute Shanghai UniversityShanghai 200444China Center for X-mechanics Zhejiang UniversityHangzhou 310027ZhejiangChina School of Materials Science and Engineering Zhejiang UniversityHangzhou 310027ZhejiangChina School of Materials Science and Engineering Xi'an University of TechnologyXi'an 048ShaanxChin Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Institute of Applied Mathematics and MechanicsSchool of Mechanics and Engineering ScienceShanghai UniversityShanghai 200444China Center for High Pressure Science State Key Laboratory of Metastable Materials Science and TechnologyYanshan UniversityQinhuangdao 066004HebeiChina State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Nanostructure Research CenterWuhan University of TechnologyWuhan 430070HubeiChina

The electrochemical performance of lithium-ion batteries,*** capacity and cyclability,is primarily determined by chemical reversibility and structural stability of the electrodes in *** we have investigated the fundamental reaction behaviors of nickel sulfide(NixSy)as lithium-ion battery anodes by in-situ *** find that Ni_(3)S_(2)is the electrochemically stable phase,which appears in the first cycle of the *** the second cycle,conversion between Ni_(3)S_(2)and Li_(2)S/Ni is the dominant electrochemical *** lithiation,the NixSynanoparticles evolve into a mixture of Ni nanocrystals embedded in Li_(2)S matrix,which form a porous structure upon full lithiation,and with the recrystallization of the Ni_(3)S_(2)phase in delithiation,a compact and interconnected network is *** stability in cycles is susceptible to particle size and substrate *** substrate can certainly improve the tolerance for size-dependent pulverization of *** NixSynanoparticle exceeds the critical size value,the morphology of the particle is no longer well maintained even under the constraints of the carbon *** work deepens the understanding of electrochemical reaction behavior of conversiontype materials and helps to rational design of high-energy density battery anodes.

关键词： Nickel sulfide anodes Reaction reversility Structure rebuilding In-situ TEM Lithium-ion battery

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Geometric error measuring,modeling,and compensation for CNC machine tools:A review

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Chinese Journal of Aeronautics 2024年第2期37卷 163-198页

作者： Zhao ZHANG Feng JIANG Ming LUO Baohai WU Dinghua ZHANG Kai TANG Engineering Research Center of Advanced Manufacturing Technology for Aero Engine(Northwestern Polytechnical University) Ministry of EducationXi’an 710072China Key Laboratory of High Performance Manufacturing for Aero Engine(Northwestern Polytechnical University) Ministry of Industry and Information TechnologyXi’an 710072China Department of Mechanical and Aerospace Engineering Hong Kong University of Science and TechnologyHong KongChina

Geometric error,mainly due to imperfect geometry and dimensions of machine components,is one of the major error sources of machine *** that geometric error has significant effects on the machining quality of manufactured parts,it has been a popular topic for academic and industrial research for many years.A great deal of research work has been carried out since the 1970s for solving the problem and improving the machining *** have studied how to measure,detect,model,identify,reduce,and compensate the geometric *** paper presents a thorough review of the latest research activities and gives an overview of the state of the art in understanding changes in machine tool performance due to geometric *** advances in measuring the geometrical errors of machine tools are summarized,and different kinds of error identification methods of translational axes and rotation axes are illustrated ***,volumetric geometric error modeling,tracing,and compensation techniques for five-axis machine tools are emphatically ***,research challenges in order to improve the volumetric accuracy of machine tools are also highlighted.

关键词： Error compensation Error identification Error measurement Error modeling Geometric error Machine tools

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A Novel BCC/B2 Structural Nb_(38)Ti_(35)Al_(15)V_(6)Cr_(4)(TaHfMoW)_(2) Refractory High‑Entropy Alloy with Excellent Specifc Yield Strength‑Plasticity Synergy

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Acta Metallurgica Sinica(English Letters) 2025年第3期38卷 396-406页

作者： Hongbin Liu Zhenqiang Xing Yitong Yang Jingyu Pang Wen Li Zhengwang Zhu Long Zhang Aimin Wang Haifeng Zhang Hongwei Zhang School of Materials Science and Engineering Shenyang Ligong UniversityShenyang 110159China Shi-Changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Foshan Sino-Tech Industrial Technology Research Institute Foshan 528000China School of Metallurgy Northeastern UniversityShenyang 110819China

Refractory high-entropy alloys(RHEAs)stand as promising candidates for the development of a new generation of hightemperature materials due to their exceptional mechanical ***,the inherent low ductility and high density of RHEAs have hindered their widespread adoption in industrial *** this study,an Nb_(38)Ti_(35)Al_(15)V_(6)Cr_(4)(TaHfMoW)_(2) RHEA with a BCC/B2 dual-phase structure is successfully *** RHEA exhibits excellent specifc yield strength of 162.4 MPa·g^(−1)·cm^(3) and 84.3 MPa·g^(−1)·cm^(3) at room temperature(RT)and 800℃,*** was found that the pinning efect of the B2 phase induces a gradual transition in dislocation slip mode from planar slip to cross slip,homogenizing the plastic fow and resulting in excellent compression plasticity(ε>50%).Additionally,the B2 phase endows the alloy with excellent yield strength at high temperatures by precipitation ***,the dominated a/2<111>type dislocation contributes to the alloy's superior plasticity at high temperatures.

关键词： Refractory high entropy alloy B2 phase Microstructure Mechanical property Deformation mechanism

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Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics

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Journal of advanced Ceramics 2023年第9期12卷 1793-1804页

作者： Jingjin He Changxin Wang Junjie Li Chuanbao Liu Dezhen Xue Jiangli Cao Yanjing Su Lijie Qiao Turab Lookman Yang Bai Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Institute for Advanced Material and Technology University of Science and Technology BeijingBeijing 100083China Faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming 650093China Sichuan Province Key Laboratory of Information Materials and Devices Application College of Optoelectronic EngineeringChengdu University of Information TechnologyChengdu 610225China School of Materials Science and Technology University of Science and Technology BeijingBeijing 100083China State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China AiMaterials Research LLC Santa FeNM 87501USA

In material science and engineering,obtaining a spectrum from a measurement is often time-consuming and its accurate prediction using data mining can also be *** this work,we propose a machine learning strategy based on a deep neural network model to accurately predict the dielectric temperature spectrum for a typical multi-component ferroelectric system,i.e.,(Ba_(1−x−y)Ca_(x)Sr_(y))(Ti_(1−u−v−w)Zr_(u)Sn_(v)Hf_(w))O_(3).The deep neural network model uses physical features as inputs and directly outputs the full spectrum,in addition to yielding the octahedral factor,Matyonov–Batsanov electronegativity,ratio of valence electron to nuclear charge,and core electron distance(Schubert)as four key *** to the physically meaningful features,our model exhibits better performance and generalization ability in the broader composition space of BaTiO3-based solid *** the prediction accuracy is superior to traditional machine learning models that predict dielectric permittivity values at each ***,the transition temperature and the degree of dispersion of the ferroelectric phase transition are easily extracted from the predicted spectra to provide richer physical *** prediction is also experimentally validated by typical samples of(Ba_(0.85)Ca_(0.15))(Ti_(0.98–x)Zr_(x)Hf_(0.02))O_(3).This work provides insights for accelerating spectra predictions and extracting ferroelectric phase transition information.

关键词： machine learning(ML) dielectric temperature spectrum ferroelectrics phase transition information

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OPTIMAL L2 ERROR ESTIMATES OF UNCONDITIONALLY STABLE FINITE ELEMENT SCHEMES FOR THE CAHN-HILLIARD-NAVIER-STOKES SYSTEM

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SIAM Journal on Numerical Analysis 2023年第3期61卷 1218-1245页

作者： Cai, Wentao Sun, Weiwei Wang, Jilu Yang, Zongze Beijing Computational Science Research Center Beijing100193 China Research Center for Mathematics Advanced Institute of Natural Sciences Beijing Normal University Zhuhai519087 China BNU-HKBU United International College Zhuhai519087 China School of Science Harbin Institute of Technology Shenzhen518055 China Department of Applied Mathematics The Hong Kong Polytechnic University Hung Hom Hong Kong

The paper is concerned with the analysis of a popular convex-splitting finite element method (FEM) for the Cahn-Hilliard-Navier-Stokes system, which has been widely used in practice. Since the method is based on a combined approximation to multiple variables involved in the system, the approximation to one of the variables may seriously affect the accuracy for others. Optimal-order error analysis for such combined approximations is challenging. The previous works failed to present optimal error analysis in L2-norm due to the weakness of the traditional approach. Here we first present an optimal error estimate in L2-norm for the convex-splitting FEMs. We also show that optimal error estimates in the traditional (interpolation) sense may not always hold for all components in the coupled system due to the nature of the pollution/influence from lower-order approximations. Our analysis is based on two newly introduced elliptic quasi-projections and the superconvergence of negative norm estimates for the corresponding projection errors. Numerical examples are also presented to illustrate our theoretical results. More important is that our approach can be extended to many other FEMs and other strongly coupled phase field models to obtain optimal error estimates. © 2023 Society for Industrial and applied Mathematics.

关键词： Finite element method

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MgO-attached graphene nanosheet(MgO@GNS)reinforced magnesium matrix nanocomposite with superior mechanical,corrosion and biological performance

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International Journal of Minerals,Metallurgy and Materials 2024年第9期31卷 2062-2076页

作者： S.Abazari A.Shamsipur H.R.Bakhsheshi-Rad M.S.Soheilirad F.Khorashadizade S.S.Mirhosseini Department of Materials and Metallurgical Engineering Amirkabir University of TechnologyTehran ***Iran Iranian National Standards Organization of Hormozgan HormozganIran Advanced Materials Research Center Department of Materials EngineeringNajafabad BranchIslamic Azad UniversityNajafabadIran Department of Materials and Metallurgical Engineering Iran University of Science and TechnologyTehranIran

Magnesium(Mg)alloys are gaining great consideration as body implant materials due to their high biodegradability and ***,they suffer from low corrosion resistance and antibacterial *** this research,semi-powder metallurgy followed by hot extrusion was utilized to produce the magnesium oxide@graphene nanosheets/magnesium(MgO@GNS/Mg)composite to improve mechanical,corrosion and cytocompatibility *** have revealed that the incorporation of MgO@GNS nanohybrids into Mg-based composite enhanced microhardness and compressive *** vitro,osteoblast cell culture tests show that using MgO@GNS nanohybrid fillers enhances osteoblast adhesion and apatite *** presence of MgO@GNS nanoparticles in the composites decreased the opening defects,micro-cracks and micro-pores of the composites thus preventing the penetration of the corrosive solution into the *** demonstrated that the MgO@GNS/Mg composite possesses excellent antibacterial properties because of the combination of the release of MgO and physical damage to bacterium membranes caused by the sharp edges of graphene nanosheets that can effectively damage the cell wall thereby facilitating penetration into the bacterial lipid ***,the MgO@GNS/Mg composite with high mechanical strength,antibacterial activity and corrosion resistance is considered to be a promising material for load-bearing implant applications.

关键词： metal matrix composites MgO@GNS nanohybrid strengthening mechanisms antibacterial activity biocompatibility

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technology Hotspot Networks in Industry–Academia–research Institute Collaboration and Development Trends

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Journal of the Knowledge Economy 2025年 1-23页

作者： Chang, Shu-Hao Science and Technology Policy Research and Information Center National Applied Research Laboratories Taipei Taiwan

Following the increasing attention to and development of industry–academia–research (IAR) institute collaboration, studies on IAR institute collaboration have increased considerably. However, although most of these studies have examined the mechanisms for collaboration and innovation performance, they have failed to identify the technology hotspots for IAR institute collaboration. On the basis of IAR institute collaboration patent analysis, this study analyzes key players of the collaboration to identify the technology hotspots in the technology network. Because few studies have paid attention to the status of each country in the IAR institute collaboration patent technology network, this study integrates countries in the analysis model to identify the niches for each country in the IAR institute technology collaboration. The results reveal that technology hotspots in the technology network of IAR institute collaboration are focused on interdisciplinary fields, such as those involving the preparation, development, and evaluation of medicine and those involving energy generation and the reduction of greenhouse gas emissions. This trend in technological development reflects the tendency of national governments to promote innovation in technological fields. Notably, France and the USA have played key roles in the technology network of international IAR institute collaboration. The findings of the present study provide a reference for governments seeking to establish alliances for IAR institute collaboration and to promote the development of new technology.

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