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国内法域外适用冲突的规制及治理

China Legal Science 2024年第4期12卷 60-81页

作者：陈梦 associate professor at Shenzhen University

以传统管辖权理论和“效果原则”为基础,部分国内公法的域外效力得到了各国立法和司法实践的认可。无论是碎片式还是体系化的国内法域外效力模式都不同程度上增加了不同国家间的法律、政治和经贸冲突,也为当今多边体制和国际争端解决机... 详细信息

以传统管辖权理论和“效果原则”为基础,部分国内公法的域外效力得到了各国立法和司法实践的认可。无论是碎片式还是体系化的国内法域外效力模式都不同程度上增加了不同国家间的法律、政治和经贸冲突,也为当今多边体制和国际争端解决机制带来前所未有的挑战。由于相关治理机制的缺失,受到影响的国家、外国个人和实体仅可以通过参与执法国内部司法和行政程序,并依据国际礼让原则和对等原则等一些国际法基本原则和执法国国内的司法裁量标准,来请求执法机关审慎执行本国法的域外适用。在这一背景下,中国可以在《对外关系法》框架下,通过区分不同类型的国内法,来确定国内法域外效力,并促进国内法域外冲突国际实体规则和争端解决机制的变革,形成动态发展的全球治理机制。

关键词：域外效力域外适用国际法基本原则司法裁量国际争端解决机制本国法国内法对等原则

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中国智慧司法的本质属性与法治化发展之路

China Legal Science 2024年第4期12卷 3-28页

作者：孙康 associate professor at Shandong University School of Law

智慧司法旨在科学技术的引领下追求良法善治。在中国,智慧司法已成为法院、检察院和司法行政部门数字化治理的主要手段,具有智能性、辅助性、便捷性和地方性等特征。尽管智慧司法为司法活动带来便利,但也存在一些值得优化的问题,如对传... 详细信息

智慧司法旨在科学技术的引领下追求良法善治。在中国,智慧司法已成为法院、检察院和司法行政部门数字化治理的主要手段,具有智能性、辅助性、便捷性和地方性等特征。尽管智慧司法为司法活动带来便利,但也存在一些值得优化的问题,如对传统司法的挑战、较高的成本、协调困难和法律成果有限等。在新时代全面依法治国背景下,应从宏观、中观和微观层面制定相应对策。在宏观层面,中国应发展符合自身国情的智慧司法;在中观层面,应强调智慧与智能的有机协调;在微观层面,需要构建全面的运行、监督和评价体系。全面总结中国智慧司法的经验,将为全世界提供薪新的司法理念和模式。

关键词：司法行政部门全面依法治国良法善治传统司法司法理念协调困难中观层面智慧司法

法治化营商环境背景下数据要素流通交易的困境解

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China Legal Science 2024年第4期12卷 29-59页

作者：姜野 associate professor at Hebei Normal University and Visiting Scholar at Civil Commercial and Economic Law School of China University of Political Science and Law

在数字经济时代,数据要素合规高效流通交易构成法治化营商环境建设的关键环节,有助于推进新质生产力发展。在实践中,我国逐渐总结出政策引导先行先试、激活数据要素商业价值、活跃数据要素场内交易等先进经验。然而,数据要素流通交易仍... 详细信息

在数字经济时代,数据要素合规高效流通交易构成法治化营商环境建设的关键环节,有助于推进新质生产力发展。在实践中,我国逐渐总结出政策引导先行先试、激活数据要素商业价值、活跃数据要素场内交易等先进经验。然而,数据要素流通交易仍遇到数据要素确权、定价、存储和交易等方面的瓶颈,一定程度上影响营商环境建设。为此,有必要重塑数据要素的价格形成机制,完善数据要素收益再分配机制,通过政企合作增强数据保障,不断健全数据要素市场流通交易合规制度,充分发挥我国海量数据规模与丰富应用场景优势。

关键词：营商环境场内交易政企合作再分配机制要素收益价格形成机制海量数据数据保障

Effect of No Tillage and Conventional Tillage on Wheat Grain Yield Variability: A Review

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Journal of Environmental & Earth Sciences 2024年第1期6卷 57-70页

作者： Kenza Kadiri Hassani Moussadek Rachid Baghdad Bouamar Zouahri Abdelmjid Dakak Houria Maher Hassnae Bouabdli Abdelhak Laboratory of Geosciences Department of GeologyFaculty of SciencesIbn Tofail UniversityKenitra B.P.242Morocco International Center for Agricultural Research in the Dry Areas(ICARDA) Rabat P.O.Box 1014Morocco Research Unit on Environment and Conservation of Natural Resources Regional Center of RabatNational Institute of Agricultural ResearchRabat P.O.Box 6356Morocco Georesources Environmentalist Consultant/Expert Associate Professor at Casablanca School of Architecture and Landscape-Honoris United UniversitiesCasablancaB.P.20100Morocco Laboratory of Materials Nanotechnology and EnvironmentDepartment of ChemistryFaculty of SciencesMohammed V UniversityRabat B.P.703Morocco

Conservation Agriculture(CA)covers more than 205 million hectares in the *** made it possible to face and mitigate the challenges of climate change,reducing soil erosion and providing multiple ecosystem *** first elementary factor influenced is the yield *** has a direct effect on farmers’choices for sustainable *** present article records a review focused on wheat yield average positive change compared between conventional tillage(CT)and no tillage(NT)*** international database collected showed that NT is adaptable *** results of wheat yield differentiation showed the influence of crop rotation depending on stations located in different climatic *** more than 40 years of research,specialists have succeeded in demonstrating the importance of crop productivity like *** whole integrates also experimentations where the initiation starts more than ten years.

关键词： Climate change No tillage Crop rotation Wheat Yield

Prevalence of depression and anxiety among children with type 1 and type 2 diabetes:a systematic review and meta-analysis

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World Journal of Pediatrics 2022年第1期18卷 16-26页

作者： Majidreza Akbarizadeh Mahin Naderi far Fereshteh Ghaljaei associate professor of Pediatric Infectious Disease Department of PediatricsSchool of MedicineZabol University of Medical SciencesZabolIran Assistant professor of Nursing Department of PediatricsSchool of NursingZabol University of Medical SciencesZabolIran associate professor of Pediatric Nursing Department of Pediatric NursingSchool of Nursing and MidwiferyCommunity Nursing Research CenterZahedan University of Medical SciencesHesabi StZahedanIran

Background Evaluation of psychiatric disorders in children is essential in timely *** individual studies,there is no information on the exact status of psychiatric disorders in *** present study was conducted to determine the prevalence of depression among children with type 1 and type 2 *** This meta-analysis is registered with PROSPERO(CRD42021231491).Several databases(Web of Science,Scopus,and PubMed)were searched from January 1,2000 to December 15,*** key words included:depression,anxiety,children,and *** steps of search,comprising screening,risk of bias,and extraction of study data,were performed separately by two *** It was found that a total of 109 studies had been conducted involving 52,493 children with type 1 and type 2 *** studies were included in the present review *** prevalence of depression,anxiety among children with type 1 diabetes were 22.2%[95%confidence interval(CI)19.2–25.2],and 17.7%(95%CI 15.2–20.1),*** prevalence of depression was higher among girls(29.7%)than boys(19.7%).The prevalence of depression was higher in lower-middle-income countries at 29.3%(95%CI 18.6–40.0).The prevalence of depression among children with type 2 diabetes was 22.7%(95%CI 17.3–28.0).Conclusion The results of the present study indicate the importance of paying attention to extensive periodic screening and appropriate activities to reduce pediatric depression.

关键词： Anxiety Depression Diabetes Meta-analysis Pediatrics

A novel monocrystalline PV array configuration for enhancing the maximum power under partial shading conditions

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Clean Energy 2023年第4期7卷 783-794页

作者： Sarayu Vunnam M.Vanithasri Rama Koteswara Rao Alla Research Scholar Department of Electrical EngineeringAnnamalai UniversityAnnamalai NagarChidambaramTamilnadu-608002India Assistant professor Department of Electrical and Electronics EngineeringRVR&JC College of EngineeringGunturAndhra Pradesh-522019India associate professor Department of Electrical EngineeringAnnamalai UniversityAnnamalai NagarChidambaramTamilnadu-608002India associate professor Department of Electrical and Electronics EngineeringRVR&JC College of EngineeringGunturAndhra Pradesh-522019India

Solar photovoltaic(PV)systems have gained importance as a promising renewable energy source in recent *** arrays are prone to variable irradiance levels under partial shading conditions due to non-uniform *** a result,there will be a decrease in the amount of power produced and hotspots will *** overcome these issues,it is essential to select an appropriate PV material and a suitable array *** obtain the maximum output power from a PV array under partial shading conditions,this paper suggests a novel triple-series–parallel ladder topology with monocrystalline PV *** short and wide,long and wide,short and narrow,long and narrow,middle and diagonal shading situations,a 6×6-sized array has been considered and compared with other existing configurations such as total cross-tied,bridge-link,honeycomb,series–parallel and series–parallel *** proposed configuration has an optimal number of cross ties to produce maximum *** has 4 cross ties fewer than a honeycomb,3 cross ties fewer than a bridge link,16 cross ties fewer than a total cross-tied and 7 cross ties fewer than series–parallel cross-tied *** proposed configuration has an improvement in power of 0.1%to 20%compared with other configurations under the considered shading scenarios.

关键词： monocrystalline PV material photo voltaic array series–parallel cross-tied,triple-series–parallel ladder topology

Fault Recognition of Multilevel Inverter Using Artificial Neural Network Approach

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Intelligent Automation & Soft Computing 2023年第5期36卷 1331-1347页

作者： Aravind Athimoolam Karthik Balasubramanian Research Scholar Faculty of Electrical EngineeringAnna UniversityChennai600025India associate professor Department of EEESona College of TechnologySalem636005India

This paper focuses on the development of a diagnostic tool for detect-ing insulated gate bipolar transistor power electronic switchﬂaws caused by both open and short circuit faults in multi-level inverter time-frequency output voltage speciﬁ***-resolution laboratory virtual instrument engineering work-bench software testing tool with a sample rate data collection system,as well as specialized signal processing and soft computing technologies,are used in this proposed *** a single-phase cascaded H-bridge multilevel inverter,simu-lation and experimental investigations of both open and short issues of the insu-lated gate bipolar transistor components are performed *** all conceivable switch issues,the output voltage signals are evaluated for different modulation index *** fourier transform and discrete wavelet transform methods are used to investigate the frequency domain properties of output voltage *** the artiﬁcial neural network,the back propagation training technique was employed,and the generated neural parameter values were used in the Laboratory Virtual Instrumentation Engineering Workbench real-time fault diagnosis model.

关键词： Back propagation learning DWT cascaded H-bridge MLI FFT sinusoidal PWM THD

Influence of Gaps Between Multiple Floating Bodies on Wave Forces

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China Ocean Engineering 2000年第4期15卷 407-422页

作者：缪国平 H. Ishida T. Saitoh professor Department of Civil Engineering Kanazawa University associate professor Department of Civil Engineering Kanazawa University

The present study aims to give general hints about hydrodynamic interactions for water wave diffraction on a super large floating structure composed of a large number of box-shaped modules with many small gaps in between. And meanwhile, it also aims to seek for an effective way to take the gap influence into consideration without numerical difficulties existing in conventional methods. An asymptotic matching technique is exploited by virtue of the smallness of gaps. Formal potential solutions are established for the near field around the gap ends and the far field away from gap ends, respectively, and the unknowns in those solutions are uniquely determined by asymptotic matching. The eigen-function expansion method is used for the outer far field and a series of pulsating sources at each gap end is introduced to simulate the gap influence. Strong hydrodynamic interaction is observed and a new resonant phenomenon, the mechanism of which differs absolutely from any known ones, is revealed in the present study. Sharp peak responses for both vertical and horizontal wave-exciting forces on each block are found around some special resonance frequencies, which depend on the draft of the structure and the gap width. The present results are of practical significance to the design of links (connectors) of modules for super large floating structures. And the importance is also closely related to the hydro-elasticity analysis for super large floating structures, in which local loads may be as important as the integrated loads.

关键词： super large floating structure wave interaction resonance gap influence

WOA-DNN for Intelligent Intrusion Detection and Classification in MANET Services

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Intelligent Automation & Soft Computing 2023年第2期35卷 1737-1751页

作者： C.Edwin Singh S.Maria Celestin Vigila Department of Computer Science and Engineering Noorul Islam Centre for Higher EducationNagercoil629180India Department of Information Technology Associate ProfessorNoorul Islam Centre for Higher EducationNagercoil629180India

Mobile ad-hoc networks(MANET)are garnering a lot of attention because of their potential to provide low-cost solutions to real-world *** are more vulnerable to security *** in nodes,band-width limits,and centralized control and management are some of the ***(Intrusion Detection System)are the aid for detection,deter-mination,and identiﬁcation of illegal system activity such as use,copying,mod-iﬁcation,and destruction of *** address the identiﬁed issues,academics have begun to concentrate on building IDS-based machine learning *** learning is a type of machine learning that can produce exceptional *** study proposes that WOA-DNN be used to detect and classify incursions in MANET(Whale Optimized Deep Neural Network Model)WOA(Whale Opti-mization Algorithm)and DNN(Deep Neural Network)are used to optimize the preprocessed data to construct a system for classifying and predicting unantici-pated cyber-attacks that are both effective and efﬁ*** a result,secure data transport to other nodes is provided,preventing intruder *** invaders are found using the(Machine Learning)ML-IDS and WOA-DNN *** data is reduced in dimensionality using Principal Component Analysis(PCA),which improves the accuracy of the outputs.A classiﬁer is used in forward propagation to predict whether a result is normal or *** compare the traditional and proposed models’effectiveness,the accuracy of classiﬁcation,detection of the attack rate,precision rate,and F-Measure,Recall are *** proposed WOA-DNN model has higher assessment metrics and a 99.1%accuracy ***-DNN also has a greater assault detection rate than others,resulting in fewer false *** classiﬁcation accuracy of the proposed WOA-DNN model is 99.1%.

关键词： Intrusion detection system whale optimization algorithm deep neural network mobile ad-hoc networks forward and back propagation