A Load-Fairness Prioritization-Based Matching Technique for Cloud Task Scheduling and Resource Allocation

In a cloud environment,consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and cost.On the other hand,Cloud Service Providers(CSPs)seek to maximize their profits by attracting and serving more consumers based on their resource capabilities.The literature has discussed the problem by considering either consumers’needs or CSPs’capabilities.A problem resides in the lack of explicit models that combine preferences of consumers with the capabilities of CSPs to provide a unified process for resource allocation and task scheduling in a more efficient way.The paper proposes a model that adopts a Multi-Criteria Decision Making(MCDM)method,called Analytic Hierarchy Process(AHP),to acquire the information of consumers’preferences and service providers’capabilities to prioritize both tasks and resources.The model also provides a matching technique to assign each task to the best resource of a CSP while preserves the fairness of scheduling more tasks for resources with higher capabilities.Our experimental results prove the feasibility of the proposed model for prioritizing hundreds of tasks/services and CSPs based on a defined set of criteria,and matching each set of tasks/services to the best CSPS.

The Research on and Application of the Multi-regression Technique in the Course of the Marketing Decision-making of Enterprises

The reformation of the economy system has led the f un ctional department and status of the enterprises into a variable state. Under th e condition of the market economy, the kernel of the enterprises’ functional dep artment has diverted to that of marketing decision-making, which face to market and meet with the need of consumption. Assuredly, the kernel of marketing decis ion-making is to prognosticate the future market demand of the production of en terprises accurately, so that it can ensure and realize the maximum of the enter prises’ profit increase. Using empirical research and the multi-regression technique, this paper ana lyzes the enterprises’ production demand forecast of the GMC (Global Management Challenge, held every year globally) and changes most of uncontrollable factors of demand forecast to the controllable ones of the enterprises. The method we us ed to forecast demand by using the multi-regression technique is as follows: 1. Look for the main factors which influence the demand of productions; 2. Establish the regression model; 3. Using the historical data, find the resolution of the correlative index an d do the prominent test; 4. Analyze and compare, regression, adjust parameter and optimize the regress ion model. Our method will make the forecast data closer to the actual prices of the future market requirement quantity in the production marketing decision-making of the enterprises and realize the optimizing combination and the working object w ith the minimum of the cost and the maximum of the profit. And it can ensure the realization of the equity maximum of the enterprises and increase the lifecycle of the production.

Ranking approach of cross-efficiency based on improved TOPSIS technique

The cross-efficiency evaluation method is reviewed which is developed as a data envelopment analysis （DEA） extensive tool. The cross-efficiency evaluation method is utilized to identify the decision making unit （DMU） with the best practice and to rank the DMUs by their respective cross-efficiency scores. The main drawbacks of the cross-efficiency evaluation method when the ultimate average cross-efficiency scores are used to evalu- ate and rank the DMUs are also pointed out. With the research gap, an improved technique for order preference by similarity to ideal solution （TOPSIS） is introduced to rank the crossfficiency by eliminating the average assumption. Finally, an empirical example is illustrated to examine the validity of the proposed method.

糖尿病足住院患者决策信息需求问题提示列表的构建及可行性评估

目的 构建糖尿病足住院患者决策信息需求问题提示列表,为促进其参与医疗决策提供实用工具。方法 通过查阅文献、咨询临床一线的专科医护人员、半结构式访谈、德尔菲专家函询并经过临床调适后确定问题提示列表患者版本,便利抽样法选取39例住院患者对问题提示列表在临床使用的可行性进行评估。结果 2轮专家函询的积极系数分别为95.00%和100.00%,专家权威系数为0.951、0.948;第2轮专家函询,指标重要性及相关性的肯德尔协调系数分别为0.214、0.200(均P<0.05)。最终的问题提示列表包括6个一级指标和43个二级指标。41.03%~69.23%的患者认可问题提示列表的临床使用效果。结论 糖尿病足住院患者决策信息需求问题提示列表具有可行性,能够帮助住院患者提出更多疾病相关问题,改善医患沟通,促进患者参与医疗决策。

画意营造:刘敦桢瞻园叠山的当代实践

【目的】“画意营造”的造园理念确立于晚明时期,在当代风景园林实践重视延续传统营园智慧的背景下,仍具有应用价值。20世纪50—60年代刘敦桢主持的南京瞻园整修设计,是一次高水准的当代“画意”造园实践,尤其体现在假山部分。【方法】结合文档搜集法和实地观察法,梳理刘敦桢瞻园“画意”叠山设计的生成过程。【结果】北假山整修参考了画家阎次平的小斧劈皴和倪瓒的折带皴,并借鉴画论营造出高远、深远的画意空间;南假山设计融合了马远和黄公望的画风,通过山池形态和细部叠石营造出峭拔、幽深、自然的意境;西假山溪涧叠石采用黄公望的披麻皴法,呈现圆润柔和的美感。【结论】刘敦桢的“画意”叠山实践,探索了对石料运用和风格选择的综合调配,为当代造园实践提供了宝贵经验,为传统文化的现代转译提供了有益启示。

Mutual information oriented deep skill chaining for multi‐agent reinforcement learning

Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents.However,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experiences that hinder convergence,resulting in ineffective training performance for multi‐agent systems.To tackle this issue,a novel reinforcement learning scheme,Mutual Information Oriented Deep Skill Chaining(MioDSC),is proposed that generates an optimised cooperative policy by incorporating intrinsic rewards based on mutual information to improve exploration efficiency.These rewards encourage agents to diversify their learning process by engaging in actions that increase the mutual information between their actions and the environment state.In addition,MioDSC can generate cooperative policies using the options framework,allowing agents to learn and reuse complex action sequences and accelerating the convergence speed of multi‐agent learning.MioDSC was evaluated in the multi‐agent particle environment and the StarCraft multi‐agent challenge at varying difficulty levels.The experimental results demonstrate that MioDSC outperforms state‐of‐the‐art methods and is robust across various multi‐agent system tasks with high stability.

Pythagorean模糊环境下的三支多属性决策方法

将后悔理论与逼近理想解排序(TOPSIS)法相结合,提出了一种新的三支多属性决策方法,旨在减少决策者的后悔情绪,提高决策满意度.首先,通过评价信息表确定各属性下备选方案的状态集,计算各方案的条件概率.其次,结合TOPSIS和后悔理论,计算相对损失函数,进而确定期望损失,并建立三支决策规则,对方案进行排序并划分为接受域、延迟决策域或拒绝域.最后,以城市轨道交通站点选择为例,进行案例对比分析,验证了该方法的可行性和有效性;接着进行参数分析,以验证该方法的稳定性.

近十年对抗性项目运动员感知运动行为优势特征的研究进展与展望

感知并预判对手动作以做出应对决策是对抗性项目运动员执行动作反应的基础。采用系统综述方法,梳理近十年关于对抗性项目运动员感知运动行为的研究,从感知、预判和决策3个阶段概述运动员专项与非专项感知运动行为的特征及其认知神经机制。发现:运动员在感知和预判阶段通过投入更多认知资源以获取关键视觉线索和处理冲突情境,在决策阶段通过激活内部模型完成自动化决策,体现了较高的神经效率,反映了运动员感知运动行为全过程的不同脑神经活动特征。随着认知神经科学、计算机和可穿戴设备等新兴技术的发展,未来研究可利用机器学习和大数据模型等算法模拟和预测运动行为,揭示运动训练对人脑的可塑性规律,提升研究成果的解释力。

An Evaluation of the Critical Success Factors in Sustainable Food Supply Chains in Developing Countries

Food is one of the biggest industries in developed and underdeveloped countries. Supply chain sustainability is essential in established and emerging economies because of the rising acceptance of cost-based outsourcing and the growing technological, social, and environmental concerns. The food business faces serious sustainability and growth challenges in developing countries. A comprehensive analysis of the critical success factors (CSFs) influencing the performance outcome and the sustainable supply chain management (SSCM) process. A theoretical framework is established to explain how they are used to examine the organizational aspect of the food supply chain life cycle analysis. This study examined the CSFs and revealed the relationships between them using a methodology that included a review of literature, interpretative structural modeling (ISM), and cross-impact matrix multiplication applied in classification (MICMAC) tool analysis of soil liquefaction factors. The findings of this research demonstrate that the quality and safety of food are important factors and have a direct effect on other factors. To make sustainable food supply chain management more adequate, legislators, managers, and experts need to pay attention to this factor. In this work. It also shows that companies aiming to create a sustainable business model must make sustainability a fundamental tenet of their organization. Practitioners and managers may devise effective long-term plans for establishing a sustainable food supply chain utilizing the recommended methodology.

教育信息化背景下高校招生辅助决策系统的设计与实现

高校招生制度是基本教育制度之一,是实现教育公平和人才选拔的重要途径。高校在投放计划数量、划定录取分数线、组织招生宣传及拟定专业设置等环节中,经常遇到决策难题。基于大数据挖掘的高校招生辅助决策系统的设计与实现,从招生决策难题出发,将数据挖掘技术引用到高校招生决策支持系统,通过对海量数据的分析,最大限度的从数据中心获取有价值的信息,提升高校招生决策能力,从而整体推进高校招生管理水平。

酒文化推广视域下酿酒技术高水平专业群建设与泸酒文化融合创新发展研究

地方高校是地方文化普及和人才培养的重要根据地。以梳理融合泸酒文化的酿酒技术高水平专业群构建的内涵和必要性为起点,客观分析酿酒技术专业群建设与发展的现状,在酒文化推广视域下,探索酿酒技术高水平专业群建设与泸酒文化融合的创新发展路径。酿酒技术专业群以泸酒文化铸魂育人,培养高度认同并践行泸酒文化精神的高素质技术技能人才,人才反哺地方,服务泸州白酒产业转型升级,使泸酒文化得到了传承创新与普及推广。

The Impact of Simulation Education on Self-Efficacy in Pre-Registration Nursing Students

This literature review primarily aims to explore and synthesise the previous studies in simulation education research conducted over the past five years related to the effects of simulation training on the self-efficacy of undergraduate pre-registration nursing students. The second aim of this study is to explore additional outcome variables that were examined in the previous studies. Five electronic databases were searched systematically. These databases were MEDLINE, CINAHL Plus, Scopus, Embase and PsycINFO. The PICO model was employed to identify the search terms, with a thesaurus being used to provide synonyms. Reference lists of relevant articles were examined and hand searches of journals were also undertaken. The quality of each study was assessed using the Simulation Research Rubric (SRR). A total of 11 studies were included. All studies explored the impact of simulation education on undergraduate pre-registration nursing. Six studies explored nursing students’ competence and performance and two papers examined their critical thinking. Problem solving, learning motivation, communication skills and knowledge acquisition were examined once. The majority of studies indicated that simulation training has a positive impact on pre-registration nursing students’ self-efficacy and other outcome variables. Furthermore, the study results indicate that simulation training is more dependable than traditional training, and students were extremely satisfied with the simulation training. However, most of the studies included in this review had several gaps, including study design, sample size and dissimilarities between the scales used. Further research with large samples, reliable and valid instruments, and outcomes measures (such as critical thinking and transferability of skills) is required to provide better insight into the effectiveness of simulation in undergraduate nursing education. .

酿酒专用稻千乡优7954的品种特性及高产种植技术

内江市农业科学院培育成功的千乡优7954新品种,于2023年通过四川省农作物品种审定委员会审定,审定编号为川审稻20233007,是四川省审定的首批酿酒专用稻之一。从选育过程、品种特征特性、种植技术要点等方面,详细介绍了千乡优7954,供同行和种植户参考。

文化自信背景下徽墨技艺传承的问题与对策研究

中国“文房四宝”中的珍品——徽墨,产于唐末徽州府,2006年徽墨制作技艺也被纳入首批国家级非物质文化遗产名录。目前徽墨技艺的传承面临传承人青黄不接、人才培养难以为继、技艺创新停滞不前等问题与挑战,破解徽墨传承困境,需要提升认识高度、加强顶层设计,深挖文化内涵、普及非遗教育,强化人才保障、建立传承人队伍,开拓发展视野、激发“非遗+旅游”活力,以坚守文化自信传承徽墨技艺。

景德镇传统制瓷技艺的传承谱系梳理与当代创新策略研究

景德镇作为中国瓷器的代表和象征,制瓷历史悠久,其传统制瓷技艺是中国非物质文化遗产的重要组成部分。本研究旨在梳理景德镇传统制瓷技艺的传承谱系,并探索适应当代社会和市场需求的创新策略。通过分析景德镇传统制瓷技艺的发展历程、特点及其面临的挑战和机遇,提出一系列创新策略,包括发展现代瓷器设计教育,搭建传统技艺与现代设计的交流平台,以及推进景德镇瓷器品牌的国际化策略等。研究结果对于推动景德镇传统制瓷技艺的保护、传承和创新发展具有重要意义。

Extension of TOPSIS for fuzzy multi-attribute decision making problem based on experimental analysis

This paper is concerned with a technique for order performance by similarity to ideal solution（TOPSIS） method for fuzzy multi-attribute decision making,in which the information about attribute weights is partly known and the attribute values take form of triangular fuzzy numbers.Considering the fact that the triangular fuzzy TOPSIS results yielded by different distance measures are different from others,a comparative analysis of triangular fuzzy TOPSIS ranking from each distance measure is illustrated with discussion on standard deviation.By applying the most reasonable distance,the deviation degrees between attribute values are measured.A linear programming model based on the maximal deviation of weighted attribute values is established to obtain the attribute weights.Therefore,alternatives are ranked by using TOPSIS method.Finally,a numerical example is given to show the feasibility and effectiveness of the method.

Decision making tools for optimal material selection:A review

The present work reviews different decision making tools(material comparing and choosing tools)used for selecting the best material considering different parameters.In this review work,the authors have tried to address the following important enquiries:1)the engineering applications addressed by the different material choosing and ranking methods;2)the predominantly used decision making tools addressing the optimal material selection for the engineering applications;3)merits and demerits of decision making tools used;4)the dominantly used criteria or objectives considered while selecting a suitable alternative material;5)overview of DEA on material selection field.The authors have surveyed literatures from different regions of the globe and considered literatures since 1988.The present review not only stresses the importance of material selection in the early design stage of the product development but also aids the design and material engineers to apply different decision making tools systematically.

TOPSIS with Belief Structure for Group Belief Multiple Criteria Decision Making

The technique for order performance by similarity to ideal solution （TOPSIS） is one of the major techniques in dealing with multiple criteria decision making （MCDM） problems, and the belief structure （BS） model has been used successfully for uncertain MCDM with incompleteness, impreciseness or ignorance. In this paper, the TOPSIS method with BS model is proposed to solve group belief MCDM problems. Firstly, the group belief MCDM problem is structured as a belief decision matrix in which the judgments of each decision maker are described as BS models, and then the evidential reasoning approach is used for aggregating the multiple decision makers＇ judgments. Subsequently, the positive and negative ideal belief solutions are defined with the principle of TOPSIS. To measure the separation from ideal solutions, the concept and algorithm of belief distance measure are defined, which can be used for comparing the difference between BS models. Finally, the relative closeness and ranking index are calculated for ranking the alternatives. A numerical example is given to illustrate the proposed method.

DNA extraction method selection for agricultural soil using TOPSIS multiple criteria decision-making model

There is an increased interest in the extraction of nucleic acids from various environmental samples since culture-independent molecular techniques contribute to deepen and broaden the understanding of a greater portion of uncultivable microorganisms. Due to difficulties to select the optimum DNA extraction method in view of downstream molecular analyses, this article presents a straightforward mathematical framework for comparing some of the most commonly used methods. Four commercial DNA extraction kits and two physical-chemical methods (bead-beating and freeze-thaw) were compared for the extraction of DNA under several quantitative DNA analysis criteria: yield of extraction, purity of extracted DNA (A260/280 and A260/230 ratios), degradation degree of DNA, easiness of PCR amplification, duration of extraction, and cost per extraction. From a practical point of view, it is unlikely that a single DNA extraction strategy can be optimum for all selected criteria. Hence, a systematic Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed to compare the methods. The PowerSoil? DNA Isolation Kit was systematically defined as the best performing method for extracting DNA from soil samples. More specifically, for soil:manure and soil:manure:biochar mixtures, the PowerSoil?DNA Isolation Kit method performed best, while for neat soil samples its alternative version gained the first rank.

基于组合赋权-TOPSIS法的拆卸方案决策研究

拆卸是回收和再制造的重要步骤,为了使拆卸方案达到高效率、低排放以及高经济效益的目标,文章建立一种基于组合赋权-TOPSIS(technique for order preference by similarity to an ideal solution)法的拆卸方案决策模型。针对拆卸方案,从环境、技术和经济3个角度构建拆卸方案评价指标体系;依据最小信息熵原理,综合改进层次分析法(analytic hierarchy process,AHP)、熵权法与CRITIC(criteria importance through intercriteria correlation)法,为各指标进行组合赋权;使用组合权重改进TOPSIS模型,构建拆卸方案的贴近度指标,对拆卸方案进行判定;以银行自动取款机(automated teller machine,ATM)拆卸为实例进行分析,并与其他决策模型对比,验证所提决策模型的合理性及有效性,实现多拆卸方案的决策。