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Review of Matrix Theory with Applications in Economics and Finance 矩阵理论及其在经济学和金融学中的应用综述
Q2 Decision Sciences Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i3p54-74
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引用次数: 1
Oil prices and sectorial stock indices of Pakistan: Empirical evidence using bootstrap ARDL model 巴基斯坦石油价格与部门股票指数:使用自举ARDL模型的经验证据
Q2 Decision Sciences Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i4p50-77
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引用次数: 6
Wilson Models and its Applications in Decision Sciences Wilson模型及其在决策科学中的应用
Q2 Decision Sciences Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i4p78-102
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引用次数: 0
Applications in Sciences in the prevention of COVID-19 科学在预防COVID-19中的应用
Q2 Decision Sciences Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i4p1-16
B. A. Tuan, K. Pho, S. Pan, W. K. Wong
Purpose: The main purpose of this work is to provide an overview of the COVID-19 issue, this article discusses in detail and fully the important and meaningful applications of Decision Sciences to the prevention of COVID-19. Because COVID-19 is an extremely hot topic and the most fascinating question in recent years, the research on this topic is very interesting and noticed by scientists. Design/methodology/approach: In the scope of this study, we first introduce definitions and issues related to COVID-19 and study the negative impacts of COVID-19 diseases on all sectors of society. We then provide a comprehensive introduction to the applied aspects of Decision Science in the prevention of COVID-19. Findings: The findings of our research help people have a correct, complete, overview,and comprehensive view of the COVID-19 issue. All COVID-19 issues are discussed in great detail and completeness in this article. Originality/value: All the issues discussed in this study are original and new in the literary literature. Practical implications: This will help the countries'leaders have the best way to fight the COVID-19 pandemic more effectively and cost-effectively. © 2022 Hindawi Limited. All rights reserved.
目的:本工作的主要目的是概述COVID-19问题,详细和全面地讨论决策科学在COVID-19预防中的重要和有意义的应用。由于新冠肺炎是近年来一个非常热门的话题,也是最吸引人的问题,所以对这个话题的研究非常有趣,受到了科学家们的关注。设计/方法/方法:在本研究范围内,我们首先介绍了与COVID-19相关的定义和问题,并研究了COVID-19疾病对社会各部门的负面影响。然后,我们全面介绍了决策科学在预防COVID-19中的应用方面。调查结果:我们的研究结果有助于人们正确、完整、全面、全面地看待新冠肺炎问题。本文非常详细和完整地讨论了所有COVID-19问题。原创性/价值:本研究讨论的所有问题都是文学文献中的原创性和新颖性。实际影响:这将有助于各国领导人找到更有效、更经济地抗击COVID-19大流行的最佳途径。©2022 Hindawi Limited。版权所有。
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引用次数: 3
Predictive Analytics in Business Analytics: Decision Tree 商业分析中的预测分析:决策树
Q2 Decision Sciences Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i1p1-30
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引用次数: 24
Modeling COVID-19 Confirmed Cases Using a Hybrid Model 使用混合模型建模COVID-19确诊病例
Q2 Decision Sciences Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i1p128-162
Samya Tajmouati
Purpose: The COVID-19 virus has caused numerous problems worldwide. Given the negative effects of COVID-19, this study aims to estimate accurate forecasts of the number of confirmed cases to help policymakers determine and make the right decisions. Design/methodology/approach: This paper uses a hybrid approach for forecasting the daily COVID-19 cases based on combining the Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Neural Network (NNAR) with a single hidden layer. To fit the linear pattern from the data, ARIMA models are used. Then, the NNAR models are used to capture the nonlinear pattern. The final prediction is obtained by adding up the two predictions. Findings: Using six-time series from January 22, 2020, to June 22, 2021, of new daily confirmed cases of COVID-19 from Pakistan, Tunisia, Indonesia, Malaysia, India and South Korea, this work evaluates the hybrid approach against some benchmark models and generated ten days ahead forecasts. Experiments demonstrate the superiority of the hybrid model over the benchmark models. Originality/value: Given the complex nature of new confirmed cases, it is assumed that the data contains both linear and nonlinear components. In literature, different studies have tended to forecast future cases of COVID-19. However, most of them have used single models that capture either linear or nonlinear patterns. This paper proposes a hybrid model that captures both linear and nonlinear components from the data.
目的:COVID-19病毒在世界范围内造成了许多问题。鉴于新冠肺炎的负面影响,本研究旨在对确诊病例数量进行准确预测,以帮助政策制定者做出正确的决策。设计/方法/方法:本文采用基于自回归综合移动平均(ARIMA)和自回归神经网络(NNAR)的混合方法,结合单个隐藏层来预测每日COVID-19病例。为了拟合数据的线性模式,使用了ARIMA模型。然后,使用NNAR模型捕获非线性模式。最后的预测是将两个预测相加得到的。研究结果:利用2020年1月22日至2021年6月22日的六个时间序列,对来自巴基斯坦、突尼斯、印度尼西亚、马来西亚、印度和韩国的每日新增确诊病例进行了分析,根据一些基准模型对混合方法进行了评估,并生成了提前10天的预测。实验证明了混合模型优于基准模型。原创性/价值:鉴于新确诊病例的复杂性,假定数据既包含线性成分,也包含非线性成分。在文献中,不同的研究倾向于预测未来的COVID-19病例。然而,他们中的大多数都使用单一模型来捕获线性或非线性模式。本文提出了一种从数据中捕获线性和非线性分量的混合模型。
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引用次数: 1
Evaluating the Green Innovation Ability of Engineering Teams in a Hesitation Fuzzy Environment 犹豫模糊环境下工程团队绿色创新能力评价
Q2 Decision Sciences Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i5p53-76
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引用次数: 0
Predictive Analysis in Business Analytics: Application of Decision Tree in Business Decision Making 商业分析中的预测分析:决策树在商业决策中的应用
Q2 Decision Sciences Pub Date : 2021-12-28 DOI: 10.47654/v26y2022i1p1-29
Chee Sun Lee, Peck Yeng Sharon Cheang
Business Analytics was defined as one of the most important aspects of combinations of skills, technologies and practices which scrutinize a corporation’s data and performance to transpire a data driven decision making analysis for a corporation’s future direction and investment plans. In this paper, much of the focus will be given to the predictive analysis which is a branch of business analytics which scrutinize the application of input data, statistical combinations and intelligence machine learning (ML) statistics on predicting the plausibility of a particular event happening, forecast future trends or outcomes utilizing on hand data with the final objective of improving performance of the corporation. Predictive analysis has been gaining much attention in the late 20th century and it has been around for decades, but as technology advances, so does this technique and the techniques include data mining, big data analytics, and prescriptive analytics. Last but not least, the decision tree methodology (DT) which is a supervised simple classification tool for predictive analysis which be fully scrutinized below for applying predictive business analytics and DT in business applications
商业分析被定义为技能、技术和实践结合的最重要方面之一,它审查公司的数据和绩效,为公司的未来方向和投资计划提供数据驱动的决策分析。在本文中,大部分重点将放在预测分析上,这是业务分析的一个分支,它审查输入数据、统计组合和智能机器学习(ML)统计在预测特定事件发生的合理性方面的应用,利用手头数据预测未来趋势或结果,最终目标是提高公司的绩效。预测分析在20世纪后期获得了很多关注,它已经存在了几十年,但随着技术的进步,这种技术也在发展,其中包括数据挖掘、大数据分析和规范分析。最后但并非最不重要的是决策树方法(DT),它是一种用于预测分析的监督简单分类工具,下面将对其进行全面审查,以便在业务应用中应用预测业务分析和DT
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引用次数: 15
A Critical Analysis of Some Recent Medical Research in Science on COVID-19 新冠肺炎近期医学研究述评
Q2 Decision Sciences Pub Date : 2021-03-01 DOI: 10.47654/V25Y2021I1P1-40
M. McAleer
The world community has been changed irrevocably by the highly infectious and mutating SARSCoV-2 virus that causes the COVID-19 disease The necessary research output on COVID-19 has been revolutionary, especially in the medical and biomedical sciences, where the search for a vaccine is essential for the world to have a semblance of normality in the era of COVID-19 Much of the advanced research has been distributed in the leading medical journals, including the Journal of the American Medical Association (JAMA), where the latest medical research is distributed on a daily basis, and where comments can also be published The purpose of this paper is to provide a critique of 110 interesting and highly topical research papers that have been published in JAMA, mostly within the past two months The diverse topics include: treating influenza and COVID-19 simultaneously, dealing with a second wave of COVID-19 in Beijing, honesty is best for known and unknown GAWI and WIST, unreliability of asymptomatic COVID-19 testing outcomes for children, the effectiveness of flu vaccines, acute anxiety during COVID-19, MAID as an end of life option, longer-term effects of corticosteroids on the mortality of critically ill COVID-19 patients, isolation, loneliness and psychological distress during COVID-19, the selection of volunteers for COVID-19 vaccine trials, the mental health of children and adolescents during COVID-19, fertility preservation through hormonal intervention for transgender adolescents, safe, effective and affordable COVID-19 vaccines, essential requirements for acceptance of a COVID-19 vaccine, ischemic stroke rates from COVID-19 and influenza, mandatory COVID-19 vaccination of children, COVID-19 asymptomatic children and adults, Who Dares Wins (Qui Audet Adipiscitur), even against COVID-19, global health security index and responses to COVID-19, quality of life and dying, immunity from COVID-19, whom to trust or not to trust regarding COVID-19, the value of health care for cancer patients, previous medical research bodes well for a COVID-19 vaccine, you cannot fight COVID-19 alone, causality between hypertension and COVID-19, coffee consumption and metastatic colorectal cancer, improving statistical analysis of health policies on children and adolescents, COVID-19 does not respect anyone, politics diminishes the integrity and reputation of healthcare agencies, primary, secondary and tertiary cancers in the lung, health care should include everyone, especially for COVID-19, prioritizing access to COVID-19 vaccines, further questions about COVID-19 vaccines, estimating direct and indirect excess deaths from COVID-19, herd immunity for COVID-19, daily eyeglass wear and COVID-19 infection, using anything that prevents the spread of COVID-19, deferral of care for serious non-COVID-19 conditions, society's united fight against depression and suicide, the positive outcomes in delaying low-risk thyroid cancer treatment during COVID-19, the likely future toll
,新冠肺炎期间口罩的必要性,新冠肺炎疫苗试验中的护士,新冠肺炎通气患者的眼睛保护,以及新冠肺炎期间的医疗保健、社会需求和失业保险,杰出专家评估新冠肺炎疫苗的分发,目前针对SARS-CoV-2和新冠肺炎突变的疫苗的效果,需要尊重无法忍受的痛苦,公众对新冠肺炎疫苗授权、对映体、exathes和新冠肺炎的不同态度,新冠肺炎新年愿望清单,新冠肺炎之前和期间关键的统计严谨性,接受新冠肺炎疫苗至关重要,以及社交距离、健康行为、新冠肺炎期间癌症结果、出院后新冠肺炎再次入院和死亡,新冠肺炎的有益教训,估计新冠肺炎检测中的种族差异,支付人们接种新冠肺炎、新冠肺炎突变和疫苗的费用,强制接种新冠肺炎疫苗,对第一剂辉瑞疫苗的过敏反应,新冠肺炎单克隆抗体的中和,新冠肺炎期间远程皮肤病定价,和SARS-CoV-2新冠肺炎正在几乎所有地方传播,儿童传播SARS-CoV-2和新冠肺炎,解决新冠肺炎期间的种族和民族健康差异,新冠肺炎期间和之后的种族和医学研究,新冠肺炎期间坚持非药物干预,新冠肺炎期间癌症患者的进一步未回答问题,儿童如何受到新冠肺炎的影响,加州变异株是另一个新冠肺炎逃逸变异株吗?,追踪SARS-CoV-2和新冠肺炎的逃逸变异株,最佳时间间隔和初针和加强针的强度,应对新冠肺炎的混淆错误,针对逃逸变异株的批准疫苗的持久性和持续时间,新冠肺炎患者的住院死亡率和临终关怀出院取决于人口规模©2021 Hindawi Limited保留所有权利
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引用次数: 3
A Critical Analysis of Some Recent Medical Research in Science on COVID-19 近期新冠肺炎医学科学研究述评
Q2 Decision Sciences Pub Date : 2021-01-01 DOI: 10.47654/v25y2021i1p40-80
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Advances in Decision Sciences
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