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Whether to Abolish or Introduce Dual Regulation as Trade and Environmental Policy?

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China & World Economy 2024年第1期32卷 57-95页

作者： Yoshihiro Hamaguchi Department of economics Faculty of Economics and Business AdministrationKyoto University of Advanced ScienceJapan

China,which has already introduced an environmental tax in an effort to decarbonize,has recently begun emissions trading and is using two environmental policies in tandem,but there are concerns about the impact on growth and *** and environmental policies affect firms'entry and exit,resulting in changes in aggregate productivity and pollution *** study compares the impacts of single regulation and dual regulation on welfare,using a research-and-development based growth model with heterogeneous *** single regulation,the cleansing effect of trade liberalization could be *** dual regulation,trade liberalization decreases pollution and improves average productivity whereas decreasing total permits reduces *** the perspective of improving welfare it is desirable to choose dual regulation because trade liberalization can reduce total pollution emissions via the cleansing effect of trade liberalization.

关键词： dual regulation heterogeneous firm Porter hypothesis research and development difficulty trade liberalization

Rao Algorithms-Based Structure Optimization for Heterogeneous Wireless Sensor Networks

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Computers, Materials & Continua 2024年第1期78卷 873-897页

作者： Shereen K.Refaay Samia A.Ali Moumen T.El-Melegy Louai A.Maghrabi Hamdy H.El-Sayed faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt faculty of engineering Assiut UniversityAssiut711745Egypt College of engineering University of Business and TechnologyJeddah23411Saudi Arabia

The structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s *** studies have been conducted for homogeneous networks,but few have been performed for heterogeneouswireless sensor *** paper utilizes Rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial *** proposed algorithms lack algorithm-specific parameters and metaphorical *** proposed algorithms examine the search space based on the relations of the population with the best,worst,and randomly assigned *** proposed algorithms can be evaluated using any routing protocol,however,we have chosen the well-known routing protocols in the literature:Low Energy Adaptive Clustering Hierarchy(LEACH),Power-Efficient Gathering in Sensor Information Systems(PEAGSIS),Partitioned-based Energy-efficient LEACH(PE-LEACH),and the Power-Efficient Gathering in Sensor Information Systems Neural Network(PEAGSIS-NN)recent routing *** compare our optimized method with the Jaya,the Particle Swarm Optimization-based Energy Efficient Clustering(PSO-EEC)protocol,and the hybrid Harmony Search Algorithm and PSO(HSA-PSO)*** efficiencies of our proposed algorithms are evaluated by conducting experiments in terms of the network lifetime(first dead node,half dead nodes,and last dead node),energy consumption,packets to cluster head,and packets to the base *** experimental results were compared with those obtained using the Jaya optimization *** proposed algorithms exhibited the best *** proposed approach successfully prolongs the network lifetime by 71% for the PEAGSIS protocol,51% for the LEACH protocol,10% for the PE-LEACH protocol,and 73% for the PEGSIS-NN protocol;Moreover,it enhances other criteria such as energy conservation,fitness convergence,packets to cluster head,and packets to the base sta

关键词： Wireless sensor networks Rao algorithms optimization LEACH PEAGSIS

Financial and non-financial determinants of the indebtedness of hospitals:the case of Poland

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Journal of Management Analytics 2024年第1期11卷 26-44页

作者： Katarzyna Miszczyńska Elżbieta Antczak Department of Banking Faculty of Economics and SociologyUniversity of LodzLodzPoland Department of Spatial Econometrics Faculty of Economics and SociologyUniversity of LodzLodzPoland

The performance of Polish healthcare is still far from satisfactory,which is connected with growing indebtedness that adversely affects not only the development of healthcare but also the quality of medical services *** turn,the financial situation of hospitals depends on various indicators and the relationship between *** paper investigates the determinants of healthcare sector functioning in the context of hospitals’financial situation(dependent variable measured by total debt ratio).321 individual public units were examined between years 2007–*** specifically,the fixed effects panel data model in question measures and evaluates the impact of economic,regional,institutional,and social factors in determining the dependent *** study confirmed dependencies between financial and non-financial ratios along with their impact on the financial condition of studied *** management implications of our study lay the groundwork for the improvement of efficient resource management for public hospitals.

关键词： polish healthcare system hospitals’financial situation debt ratio panel data analysis

Instance Segmentation of Characters Recognized in Palmyrene Aramaic Inscriptions

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Computer Modeling in engineering & Sciences 2024年第9期140卷 2869-2889页

作者： Adéla Hamplová Alexey Lyavdansky TomášNovák Ondrej Svojše David Franc Arnošt Veselý Czech University of Life Sciences in Prague(CULS) Faculty of Economics and ManagementDepartment of Information EngineeringPrague16500Czech Republic National Research University Higher School of economics(HSE) Faculty of HumanitiesInstitute for Oriental and Classical StudiesMoscow101000The Russian Federation

This study presents a single-class and multi-class instance segmentation approach applied to ancient Palmyrene inscriptions,employing two state-of-the-art deep learning algorithms,namely YOLOv8 and Roboflow *** goal is to contribute to the preservation and understanding of historical texts,showcasing the potential of modern deep learning methods in archaeological *** research culminates in several key findings and scientific *** comprehensively compare the performance of YOLOv8 and Roboflow 3.0 in the context of Palmyrene character segmentation—this comparative analysis mainly focuses on the strengths and weaknesses of each algorithm in this *** also created and annotated an extensive dataset of Palmyrene inscriptions,a crucial resource for further research in the *** dataset serves for training and evaluating the segmentation *** employ comparative evaluation metrics to quantitatively assess the segmentation results,ensuring the reliability and reproducibility of our findings and we present custom visualization tools for predicted segmentation *** study advances the state of the art in semi-automatic reading of Palmyrene inscriptions and establishes a benchmark for future *** availability of the Palmyrene dataset and the insights into algorithm performance contribute to the broader understanding of historical text analysis.

关键词： Optical character recognition instance segmentation Palmyrene ancient languages computer vision

Stock Markets,Financial Depth,and Economic Growth in China:Evidence from ARDLModel

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China Finance and Economic Review 2024年第1期13卷 88-111页

作者： Afef Bouattour Maha Kalai Kamel Helali Higher Institute of business Administration of Sfax University of Sfax faculty of economics and Management of Sfax University of Sfax

The relationship between financial development and economic growth in China is *** this perspective,this article aims to identify this relationship using both capital market and banking intermediation indicators,which were rarely considered in the previous *** autoregressive model with staggered lags(ARDL)examines the long-run cointegration relationship between 1980 and *** results suggest that the contribution of different subsectors of the Chinese financial system to economic growth *** development of the money market has a negative impact,whereas market capitalization has a positive impact on economic growth in *** the contribution of the banking system to China's economic growth,the two variables measuring the depth of financial institutions showed opposite impacts in both the short and long *** important policy implications,regulators need to ensure a pro-growth environment,effectively regulate the informal banking system,and prevent potential financial risks by revising policies.

关键词： stock markets financial depth economic growth China ARDL

Role of circular economy,energy transition,environmental policy stringency,and supply chain pressure on CO_(2)emissions in emerging economies

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Geoscience Frontiers 2024年第3期15卷 209-220页

作者： Sunil Tiwari Kamel Si Mohammed Grzegorz Mentel Sebastian Majewski Irum Shahzadi Department of Tourism Studies School of Business StudiesCentral University of KeralaIndia faculty of economics and Management Department of EconomicsUniversity of Ain TemouchentAlgeria Department of Quantitative Methods Faculty of ManagementRzeszow University of Technology35-959 RzeszowPoland Institute of economics and Finance University of Szczecinul.A.Mickiewicza 6471-101 SzczecinPoland Department of business Administration IQRA University Karachi-75300Pakistan Department of Production EngineeringSão Paulo State University(UNESP)BauruBrazil

This paper investigates the effect of the circular economy on CO_(2)emissions growth by considering the role of energy transition,climate policy stringency,industrialization,and supply chain pressure from 1997 to 2020 using panel quantile Autoregressive Distributed Lags(QARDL)and the panel *** employ cointegration association in the long run among the variables,and the results of the two models confirm *** reveal that circular economy and climate policy stringency significantly negatively impact carbon *** the other hand,the energy transition,industrialization,and supply chain pressures are crucial to determining CO_(2)emissions in the short and long *** finding further explores that municipal waste generation recycling is considerable at the mean and upper 90th quantiles than the lower ***,the empirical results of the current study provide acumens for policymakers of advanced economies and emerging markets to maintain the balance among circular economy,energy transition,environmental policy stringency,and supply chain pressure for reducing CO_(2)emissions without halting economic growth and sustainable ***,practical implications are reported through the lens of carbon neutrality and structural changes.

关键词： Circular economy Energy transition Supply chain Carbon emissions Panel QARDL

Impacts of nuclear energy,greener energy,and economic progress on the load capacity factor:What we learn from the leading nuclear power economies?

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Geoscience Frontiers 2024年第3期15卷 322-335页

作者： Wei Teng Md.Monirul Islam LászlóVasa Shujaat Abbas Umer Shahzad School of business Qilu Institute of TechnologyJinan 250200ShandongChina Graduate School of economics and Management(GSEM) Ural Federal University(UrFU)YekaterinburgRussia Bangladesh Institute of Governance and Management(BIGM) University of DhakaBangladesh Széchenyi Istvàn University Faculty of EconomicsHungary School of economics Széchenyi Istvàn UniversityGyorHungary Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences PragueCzech Republic Adnan Kassar School of business Lebanese American UniversityBeirutLebanon

The worldwide tremor of environmental degradation commonly represents the escalation of emissions levels and ecological footprints that harm the planet’s *** is because of using gigantic non-renewable energy resources,urbanization stream and massive economic activities in the major industrialized *** this situation,we investigate the influence of disaggregated energy measures,e.g.,renewable,and nuclear energy,income growth and urbanization on the load capacity factor(biocapacity divided by the ecological footprint)of major nuclear power countries,such as France,the USA,Canada,China,and Russia during *** this end,we utilize the CS-ARDL procedure because of the endogeneity,common correlation,non-stationarity in data and heterogeneity in panel *** contribute to considering the supply side dynamic of environmental degradation parameter,the load capacity,from the perspective of the top nuclear power nations that deviates our analysis from the prevailing scholarly ***,our findings confirm a significantly positive impact of renewable and nuclear energy on the load capacity factor in improving environmental ***,economic growth and urbanization negatively affect the load capacity dynamics in spurring environmental *** findings are robust across an alternative estimation technique,namely the Dumitrescu and Hurlin(DH)causation ***,we recommend formulating pragmatic policies to deter the detrimental effects of income and urbanization by properly utilizing sustainable energy resources to conserve the natural environment.

关键词： Renewable energy Economic growth Urbanization Load capacity Environmental degradation Top nuclear power countries

Edge Device Fault Probability Based Intelligent Calculations for Fault Probability of Smart Systems

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Tsinghua Science and Technology 2024年第4期29卷 1023-1036页

作者： Shasha Li Tiejun Cui Wattana Viriyasitavat School of Environmental and Chemical engineering Shenyang Ligong UniversityShenyang 110159China Chulalongkorn business School Faculty of Commerce and AccountancyChulalongkorn UniversityBangkok 10900Thailand

In a smart system, the faults of edge devices directly impact the system’s overall fault. Further, complexity arises when different edge devices provide varying fault data. To study the Smart System Fault Evolution Process (SSFEP) under different fault data conditions, an intelligent method for determining the Smart System Fault Probability (SSFP) is proposed. The data types provided by edge devices include the following: (1) only known edge device fault probability;(2) known Edge Device Fault Probability Distribution (EDFPD);(3) known edge device fault number and EDFPD;(4) known factor state of the edge device fault and EDFPD. Moreover, decision methods are proposed for each data case. Transfer Probability (TP) is divided into Continuity Transfer Probability (CTP) and Filterability Transfer Probability (FTP). CTP asserts that a Cause Event (CE) must lead to a Result Event (RE), while FTP requires CF probability to exceed a threshold before RF occurs. These probabilities are used to calculate SSFP. This paper introduces a decision method using the information diffusion principle for low-data SSFP determination, along with an improved method. The method is based on space fault network theory, abstracting SSFEP into a System Fault Evolution Process (SFEP) for research purposes.

关键词： smart systems intelligent science edge device fault probability decision method

A Systematic Literature Review of Machine Learning and Deep Learning Approaches for Spectral Image Classification in Agricultural Applications Using Aerial Photography

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Computers, Materials & Continua 2024年第3期78卷 2967-3000页

作者： Usman Khan Muhammad Khalid Khan Muhammad Ayub Latif Muhammad Naveed Muhammad Mansoor Alam Salman A.Khan Mazliham Mohd Su’ud College of Computing and Information Sciences Karachi Institute of Economics and TechnologyKarachi75190Pakistan faculty of Computing and Informatics(FCI) Multimedia UniversityCyberjaya63100Malaysia faculty of Computing Riphah International UniversityIslamabad46000Pakistan faculty of engineering and Information Technology School of Computer ScienceUniversity of Technology SydneySydneyAustralia

Recently,there has been a notable surge of interest in scientific research regarding spectral *** potential of these images to revolutionize the digital photography industry,like aerial photography through Unmanned Aerial Vehicles(UAVs),has captured considerable *** encouraging aspect is their combination with machine learning and deep learning algorithms,which have demonstrated remarkable outcomes in image *** a result of this powerful amalgamation,the adoption of spectral images has experienced exponential growth across various domains,with agriculture being one of the prominent *** paper presents an extensive survey encompassing multispectral and hyperspectral images,focusing on their applications for classification challenges in diverse agricultural areas,including plants,grains,fruits,and *** meticulously examining primary studies,we delve into the specific agricultural domains where multispectral and hyperspectral images have found practical ***,our attention is directed towards utilizing machine learning techniques for effectively classifying hyperspectral images within the agricultural *** findings of our investigation reveal that deep learning and support vector machines have emerged as widely employed methods for hyperspectral image classification in ***,we also shed light on the various issues and limitations of working with spectral *** comprehensive analysis aims to provide valuable insights into the current state of spectral imaging in agriculture and its potential for future advancements.

关键词： Machine learning deep learning unmanned aerial vehicles multi-spectral images image recognition object detection hyperspectral images aerial photography