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A Novel Rolling and Fractional-ordered Grey system Model and Its Application for Predicting Industrial Electricity consumption

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Journal of systems science and systems Engineering 2024年第2期33卷 207-231页

作者： Wenhao Zhou Hailin Li Zhiwei Zhang college of business Administration Huaqiao UniversityQuanzhou 362021China college of business Administration Capital University of Economics and BusinessBeijing 100070China

Accurate and reasonable prediction of industrial electricity consumption is of great significance for promoting regional green transformation and optimizing the energy ***,the regional power system is complicated and uncertain,affected by multiple factors including climate,population and *** paper incorporates structure expansion,parameter optimization and rolling mechanism into a system forecasting framework,and designs a novel rolling and fractional-ordered grey system model to forecast the industrial electricity consumption,improving the accuracy of the traditional grey *** optimal fractional order is obtained by using the particle swarm optimization algorithm,which enhances the model ***,the proposed model is employed to forecast and analyze the changing trend of industrial electricity consumption in Fujian *** results show that industrial electricity consumption in Fujian will maintain an upward growth and it is expected to 186.312 billion kWh in *** with other seven benchmark prediction models,the proposed grey system model performs best in terms of both simulation and prediction performance metrics,providing scientific reference for regional energy planning and electricity market operation.

关键词： Electricity consumption grey system theory prediction model fractional order

Doping engineering of iron oxide nanoparticles towards high performance and biocompatible T_(1)-weighted MRI contrast agents

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Rare Metals 2024年第1期43卷 298-308页

作者： Xue Xu Ping-Li Dong Yu-Yun chai Run Yang Zhen-Hui Ma chi-chong Lu Department of chemistry College of Chemistry and Materials EngineeringBeijing Technology and Business UniversityBeijing 100048China Department of Physics Beijing Technology and Business UniversityBeijing 100048China

Extremely small-sized iron oxide nanoparticles(IONPs) are of great interest in magnetic resonance imaging(MRI) due to their biosafety as an alternative to clinical gadolinium(Ⅲ) complexes-based contrast *** when the particle size is less than 10 nm,it has strong diffusion ability and deep penetration distance in tumor *** doping can significantly enhance the T_(1)contrast effect of nanoparticles by regulating the surface exposed ***,the nucleation and growth processes of multi-component synthesis systems are complex and difficult to be accurately controlled,leading to great challenges in the synthesis of ultra-small-sized nanoparticles with different components and ***,extremely smallsized superparamagnetic gadolinium-doped iron oxide nanoparticles(GdIONPs,Gd_(x)Fe_(3-x)O_(4) NPs) with adjustable doping amount and controllable size in the range of 3.5-7.5 nm were synthesized by thermal ***,as-synthesized GdIONPs were surface modified with a highly water-soluble and biocompatible carboxyl-polyethylene glycol-phosphoric acid ligand with high binding ***_(0.65)Fe_(2.35)O_(4) NPs exhibited very high r_(1) relaxivity of 10.6 mmol^(-1)·L·s^(-1) in terms of all metal concentrations and 49.0 mmol^(-1)·L·s^(-1) in terms of gadolinium alone,respectively,3 and 14 times higher than clinical T_(1) contrast agents(Gd-DTPA).GdIONPs can continuously obtain high resolution images of blood vessels,and can be used as an efficient and multifunctional contrast agent for MR T_(1)*** stable and efficient doping strategy provides an easy and effective method to individually optimize the magnetic properties of complex oxides and their relaxation effects for a variety of biomedical applications.

关键词： Iron oxide nanoparticles small size Magnetic resonance imaging substitutional doping Gd dopant

coordination for a closed-loop supply chain with Recycling Platform considering Dynamic setting

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Journal of systems science and systems Engineering 2024年第4期33卷 425-451页

作者： Zehua Xiang Ting Ji Lingfeng Dong school of Management Zhejiang UniversityHangzhou310058China school of business Hangzhou City UniversityHangzhou310015China Alibaba business college Hangzhou Normal UniversityHangzhou311121China

This paper presents a dynamic closed-loop supply chain(cLsc)model,incorporating a manufacturer,a retailer,and an internet recycling platform(IRP),utilizing differential game theory while considering the forgetting effect of *** model encompasses factors such as the quality level of used products and Big Data marketing(BDM),comparing optimal equilibriums under decentralized and cooperative decision *** effectively coordinate the dynamic cLsc at each time point,we propose a revenue-sharing and cost-sharing(Rscs)combined *** addition to ensuring reasonable sharing of revenues and costs,this contract allows the manufacturer to flexibly adjust wholesale prices for final products and transfer prices for used products in order to distribute profits appropriately and achieve Pareto optimality within the cLsc ***,our results indicate that there exists a threshold for Big Data marketing efficiency;high-efficiency BDM not only facilitates increased recycling on Internet platforms but also reduces unit recycling costs for ***,when implementing the combined contract,Big Data marketing efficiency does not impact the transfer price paid by manufacturers to Internet recycling platforms.

关键词： Big Data marketing differential game closed-loop supply chain coordination internet recycling platform

A superior sales Mode for a Two-Echelon supply chain of Perishable Products

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Journal of systems science and Information 2024年第2期12卷 274-293页

作者： Mengqi BAO Xiaozhen DAI school of Management Wenzhou Business CollegeWenzhou 325035China

This paper considers sales mode selection issues for a two-echelon supply chain of perishable products involving a supplier and a ***’purchase desire is assumed to be positive correlation with the freshness of the ***,the traditional sales mode is examined,in which the supplier and the retailer play a stackelberg *** propose a three-layer decision model for this situation,and obtain dynamic pricing strategies and selling cycle *** is shown that the retailer has little motivation to order many perishable products so as to avoid a long selling cycle ***,the commission-charge mode is analyzed,in which the retailer declares its decision *** this mode,we demonstrate that the perishable product will be on sale during the whole shelf life under a certain *** correlation between the sales price of each stage and the remaining shelf-life length is ***,the superiority analysis for the two sales modes is *** show the relation between the selling cycle lengths of the two *** our analysis,it is shown that both the supplier and the retailer gain more profits when the commission-charge mode is adopted and the commission rate locates in a certain open ***,a numerical illustration is presented to visualize the discussed models,and some supplements are made for the acquired conclusions by the illustration.

关键词： pricing sales mode commission-charge mode selling cycle length superiority analysis

Deep learning approaches to recover the plasma current density profile from the safety factor based on Grad–shafranov solutions across multiple tokamaks

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Plasma science and Technology 2024年第5期26卷 17-28页

作者：张瀚予周利娜刘钺强郝广周王硕杨旭苗雨田段萍陈龙 college of science Dalian Maritime UniversityDalian 116026People’s Republic of China General Atomics San Diego 92186-5608United States of America southwestern Institute of Physics Chengdu 610041People’s Republic of China chongqing Key Laboratory of Intelligent Perception and Blockchain Technology Chongqing Technology and Business UniversityChongqing 400067People’s Republic of China

Many magnetohydrodynamic stability analyses require generation of a set of equilibria with a fixed safety factor q-profile while varying other plasma parameters.A neural network(NN)-based approach is investigated that facilitates such a *** multilayer perceptron(MLP)-based NN and convolutional neural network(cNN)models are trained to map the q-profile to the plasma current density J-profile,and vice versa,while satisfying the Grad–shafranov radial force balance *** the initial target models are trained,using a database of semianalytically constructed numerical equilibria,an initial cNN with one convolutional layer is found to perform better than an initial MLP *** particular,a trained initial cNN model can also predict the q-or J-profile for experimental tokamak *** performance of both initial target models is further improved by fine-tuning the training database,*** adding realistic experimental equilibria with Gaussian *** fine-tuned target models,referred to as fine-tuned MLP and fine-tuned cNN,well reproduce the target q-or J-profile across multiple tokamak *** an important application,these NN-based equilibrium profile convertors can be utilized to provide a good initial guess for iterative equilibrium solvers,where the desired input quantity is the safety factor instead of the plasma current density.

关键词： plasma equilibrium deep learning safety factor profile current density profile tokamak

Inference analysis of relationships between best linear minimum bias predictors under two transformed general linear models

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Acta Mathematica sinica,English series 2024年

作者： Bo JIANG Yongge TIAN college of Mathematics and Information science and Yantai Key Laboratory of Big Data Modeling and Intelligent computing Shandong Technology and Business University college of business and Economics Shanghai Business School

Regression models are often transformed into certain alternative forms in statistical inference theory. In this paper, we assume that a general linear model(GLM) is transformed into two different forms, and our aim is to study some comparison problems under the two transformed general linear models(TGLMs). We first construct a general vector composed of all unknown parameters under the two different TGLMs, derive exact expressions of best linear minimum bias predictors(BLMBPs)by solving a constrained quadratic matrix-valued function optimization problem in the L¨owner partial ordering, and describe a variety of mathematical and statistical properties and performances of the BLMBPs. We then approach some algebraic characterization problems concerning relationships between the BLMBPs under two different TGLMs. As applications, two specific cases are presented to illustrate the main main contributions in the study.

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Bimetal MOF-derived NiFe-P nanocomposites coupled with cu_(3)P nanoparticles to construct tandem electron transfer channels for photocatalytic hydrogen evolution

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Journal of Environmental sciences 2024年第3期137卷 333-346页

作者： Haiyan Zhang shitao Yang Peng Zhu senpei Tang Ming Li college of chemistry and chemical Engineering Jishou UniversityJishou 416000China school of Account Hunan University of Technology and BusinessChangsha 410205China

Finely modulated light-induced charge separation and transfer is a central challenge to achieve efficient *** progress has been made in this field,most of the previous research works focused on the separation or migration of photogenerated carriers but did not build a bridge between the *** to realize the strong driving and precise migration of carriers has become the focus of our *** report an ingeniously designed ternary *** NiFe-MOF as the“parent material”,the FeP_(4)/Ni_(x)P_(y)heterojunction is derived in situ while maintaining the frame structure through gas-solid reaction,and finally the Z-type electron transfer is *** cu_(3)P anchoring spindle matrix,an electron transport tunnel is opened up in cu_(3)P/FeP_(4)/Ni_(x)P_(y)ternary heterojunction under the action of p-n heterojunction built-in electric field driving and accurate energy band *** strong driving force of the built-in electric field provides an inexhaustible power for the transmission of electrons,and the fine series of electron transmission channels realizes the precise transmission of *** above fine design makes the perfect fit between the built-in electric field and the electron transfer channel,which not only effectively improves the embarrassing situation of insufficient electron driving force of hydrogen evolution reaction in the previous research,but also makes up for the weakening of semi-conductor reduction ability caused by the construction of traditional p-n *** research work provides a new idea for the construction of multiple heterostructures and the design of fine interface engineering in the future.

关键词： cu_(3)P/FeP_(4)/Ni_(x)P Built-in electric field Electron transfer channels Photocatalysis

The pathogenic mechanism of TAR DNA-binding protein 43(TDP-43)in amyotrophic lateral sclerosis

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Neural Regeneration Research 2024年第4期19卷 800-806页

作者： Xinxin Wang Yushu Hu Renshi Xu Medical college of Nanchang University Department of Neurology Jiangxi Provincial People's HospitalThe First Affiliated Hospital of Nanchang Medical CollegeThe Clinical College of Nanchang Medical College

The onset of amyotrophic lateral sclerosis is usually characterized by focal death of both upper and/or lower motor neurons occurring in the motor cortex,basal ganglia,brainstem,and spinal cord,and commonly involves the muscles of the upper and/or lower extremities,and the muscles of the bulbar and/or respiratory ***,as the disease progresses,it affects the adjacent body regions,leading to generalized muscle weakness,occasionally along with memory,cognitive,behavioral,and language impairments;respiratory dysfunction occurs at the final stage of the *** disease has a complicated pathophysiology and currently,only riluzole,edaravone,and phenylbutyrate/taurursodiol are licensed to treat amyotrophic lateral sclerosis in many industrialized *** TAR DNA-binding protein 43 inclusions are observed in 97%of those diagnosed with amyotrophic lateral *** review provides a preliminary overview of the potential effects of TAR DNAbinding protein 43 in the pathogenesis of amyotrophic lateral sclerosis,including the abnormalities in nucleoplasmic transport,RNA function,post-translational modification,liquid-liquid phase separation,stress granules,mitochondrial dysfunction,oxidative stress,axonal transport,protein quality control system,and non-cellular autonomous functions(e.g.,glial cell functions and prion-like propagation).

关键词： amyotrophic lateral sclerosis axonal transport liquid-liquid phase separation noncellular autonomous functions oxidative stress pathogenesis post-translational modification protein quality control system stress granules TAR DNA-binding protein 43(TDP-43)

The future of competitive advantage in Oman: Integrating green product innovation, Al, and intellectual capital in business strategies

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International Journal of Innovation studies 2024年第2期8卷 154-171页

作者： Fadi Abdelfattah Mohammed salah Khalid Dahleez Riyad Darwazeh Hussam Al Halbusi Modern college of business and science(McBs) MuscatOman Dean college of business Administration A'Sharqiyah UniversityIbraOman Head of Accounting Department Business SchoolAl-Ahliya Amman UniversityAmmanJordan Management Department Ahmed Bin Mohammed Military College(ABMMC)DohaQatar

This study delves into the dynamics of green product innovation,artificial intelligence(Al)adaption,and intellectual capital,investigating their impact on the competitiveness of firms in *** emphasizes the crucial role of government intervention and R&D investments in this *** on the responses of 214 top managers in Oman,the research employs structural equation modeling to analyze the intricate relationships between these *** findings underscore a significant positive correlation between green innovation,Al implementation,and intellectual capital,with government involvement and R&D investments as vital *** study provides a novel perspective on the synergy of technology,innovation,and intellectual capital in developing *** offers essential insights for business leaders,policymakers,and scholars,highlighting the necessity of integrating advanced technologies and sustainable practices in business strategies to achieve competitive *** research adds to the existing body of knowledge on innovation and *** offers practical implications for enhancing firm performance in Oman and similar emerging markets.

关键词： Green product innovation R&D investments AI adoption Intellectual capital Government involvement Knowledge-driven culture Oman