Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics最新文献

THE INFLUENCE OF TIME AND CROWDFUNDING DONATION ON COVID-19: A GENERALIZED LINEAR MODEL APPROACH 时间和众筹捐赠对covid-19的影响:广义线性模型方法

Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics Pub Date : 2022-01-27 DOI: 10.32890/jcia2022.1.1.5

Jackson J. Tan, V. R. Arceo, Richard L. Parcia

{"title":"THE INFLUENCE OF TIME AND CROWDFUNDING DONATION ON COVID-19: A GENERALIZED LINEAR MODEL APPROACH","authors":"Jackson J. Tan, V. R. Arceo, Richard L. Parcia","doi":"10.32890/jcia2022.1.1.5","DOIUrl":"https://doi.org/10.32890/jcia2022.1.1.5","url":null,"abstract":"The purpose of this study was to examine the effects that time and community assistance (in the form of donations) had on accrued recoveries from the Novel Coronavirus. This study examined donation transaction data from a community-based national virtual donation platform in conjunction with government released figures on populations and COVID-19 cases in the Philippines. Findings from a Generalized Linear Model showed that at a 0.001 level of significance, the passage of time affected accrued recoveries by about 14 (13.23) daily, while cumulative individual donations improved recoveries by about 2 (1.69) people. A series of simulations that visualized the effects of time and donations on recoveries evidenced that accrued recoveries were accelerated by donations. Results from the analysis generated a series of recommendations based on Resource-Advantage Theory, along with Disaster Management Theory as applied to supply-chains. The first recommendation was to allow broader access to the platform as an information exchange. An expansion of the crowdsourcing features on the platform was a second recommendation. A third recommendation was establishing a relief distribution network prior to the next disaster.","PeriodicalId":288662,"journal":{"name":"Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125926619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

STUDENTS SATISFACTION TOWARD UNIVERSITY HEALTH CENTER: SEM APPROACH 大学生对大学健康中心的满意度:sem方法

Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics Pub Date : 2022-01-27 DOI: 10.32890/jcia2022.1.1.4

Hasimah Sapiri, Zahayu MD YUSOF, M. Misiran, M. Mahmuddin

引用次数: 0

MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORK MODEL ON ASSESSING EARLY MATHEMATICAL KNOWLEDGE BEHAVIOURS AND TODD-ACTS MOBILE APPLICATION DEVELOPMENT 基于多层感知器人工神经网络模型的早期数学知识行为评估与陶德行为移动应用开发

Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics Pub Date : 2022-01-27 DOI: 10.32890/jcia2022.1.1.2

S. A. Kamaruddin, Zaida Mustafa, Nor Azura Md. Ghani, Hamidah Mohamad, Muhammad Noor Abdul Aziz

{"title":"MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORK MODEL ON ASSESSING EARLY MATHEMATICAL KNOWLEDGE BEHAVIOURS AND TODD-ACTS MOBILE APPLICATION DEVELOPMENT","authors":"S. A. Kamaruddin, Zaida Mustafa, Nor Azura Md. Ghani, Hamidah Mohamad, Muhammad Noor Abdul Aziz","doi":"10.32890/jcia2022.1.1.2","DOIUrl":"https://doi.org/10.32890/jcia2022.1.1.2","url":null,"abstract":"In modern culture, mathematics is the primary tool for comprehending science, engineering, and economics. Mathematics has historically been viewed as the primary measure of human intellect. Since the early stages, certain industrialised countries have been carefully considering the subject of fostering and generating geniuses among their people. This is because they recognise that individuals learn or remember knowledge the fastest throughout their first four years due to the prefrontal cortex’s resiliency. This vital period of human existence needs careful consideration. Previous study has revealed that a person’s mathematical skills develop from the day he or she is born. According to science, a person’s capacity to acquire math abilities allows them to develop many other talents faster, and infants are no exception. In this study, we looked at the behaviours or modules that contribute to the development of arithmetic skills or capacities in newborns from birth (0 months) to 4 years old (48 months). In this study, a two-layer neural network with tansig transfer function in the first layer and purelin transfer function in the second layer was used. Because many parents and instructors are focused on the programmes offered at childcare facilities, or the so-called nursery, Montessori, or kindergarten, an innovative mobile application called ‘Todd- Acts’ was created. This mobile application aims to assist parents and teachers with standardised modules that they can practise at home or on their premises, primarily to improve the arithmetic skills of babies in the five critical stages of human life: 0 to 6 months, 6 to 12 months, 12 to 24 months, 24 to 36 months, and 36 to 48 months.","PeriodicalId":288662,"journal":{"name":"Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123647027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FORECASTING AND ON THE INFLUENCE OF CLIMATIC FACTORS ON RISING DENGUE INCIDENCE IN BAGUIO CITY, PHILIPPINES 预测及气候因素对菲律宾碧瑶市登革热发病率上升的影响

Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics Pub Date : 2022-01-27 DOI: 10.32890/jcia2022.1.1.3

Joseph Ludwin D. C. Marigmen, R. Addawe

{"title":"FORECASTING AND ON THE INFLUENCE OF CLIMATIC FACTORS ON RISING DENGUE INCIDENCE IN BAGUIO CITY, PHILIPPINES","authors":"Joseph Ludwin D. C. Marigmen, R. Addawe","doi":"10.32890/jcia2022.1.1.3","DOIUrl":"https://doi.org/10.32890/jcia2022.1.1.3","url":null,"abstract":"Dengue fever or dengue has been a concern for individuals living in Baguio City, Philippines. Every year, incidence counts rise during rainy seasons experienced from June to October. Several researches suggest that meteorological factors have great influence on the life, growth, and reproduction of dengue-carrying mosquitoes, resulting in higher dengue incidence in the area. With the continuing rise of dengue incidence in Baguio City, we aim to forecast dengue incidence in the area for the year 2019, starting from January until the end of the outbreak period in the area. Here, we use the projections package of R as it involves the serial interval distribution and 𝑅𝑡 value of dengue incidence. We also aim to use multiple linear regression analysis to determine if meteorological factors have significant effects in the rise of dengue incidence in the city. With the inclusion of time-varying reproduction number and serial interval distribution of dengue, we projected that dengue incidence may reach up to 101 cases by June 16, 2021, and without further actions, cases may rise up to 529 cases by August 29, 2021. Based on the average two-year period, such increase is attributed to relative humidity and average temperature as these are the most significant factors associated with dengue incidence based on the MLR analysis. The highest and mean maximum temperatures remain as key meteorological variables that influence dengue incidence in the city. As early as possible, local officials are recommended to uphold proper safety and health procedures in preventing the spread of dengue in Baguio City.","PeriodicalId":288662,"journal":{"name":"Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131669267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

POWER BOOSTING FOR ORDERED MULTIPLE HYPOTHESES WITH APPLICATION TO GENOME-WIDE ASSOCIATION STUDIES 有序多假设在全基因组关联研究中的应用

Vol 1 No 1 (2022): Journal of Computational Innovation and Analytics Pub Date : 2022-01-27 DOI: 10.32890/jcia2022.1.1.1

Mark Ramos, DoHwan Park

引用次数: 0