Decision Science Letters最新文献

Time series prediction of novel coronavirus COVID-19 data in west Java using Gaussian processes and least median squared linear regression 基于高斯过程和最小中位数平方线性回归的西爪哇地区新型冠状病毒COVID-19数据时间序列预测

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.1.006

I. Yulita, Firman Ardiansyah, Aulia Siska, I. Suryana

引用次数: 0

Multiple endemic disease risk modeling using a Bayesian spatiotemporal shared components model 基于贝叶斯时空共享分量模型的多种地方病风险建模

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2022.12.005

I. Jaya, A. Chadidjah, Y. Andriyana, Gatot Riwi Setyanto, Enny Supartini, F. Kristiani

{"title":"Multiple endemic disease risk modeling using a Bayesian spatiotemporal shared components model","authors":"I. Jaya, A. Chadidjah, Y. Andriyana, Gatot Riwi Setyanto, Enny Supartini, F. Kristiani","doi":"10.5267/j.dsl.2022.12.005","DOIUrl":"https://doi.org/10.5267/j.dsl.2022.12.005","url":null,"abstract":"Traditionally, endemic diseases such as dengue, diarrhea, and tuberculosis are modeled separately, which leads to a limited understanding of current disease dynamics and an inaccurate evaluation of the parameters of the different models. In this study, we propose a joint spatiotemporal model to predict the risks of multiple endemic diseases and identify hotspots. The model includes spatial shared component random effects and a covariate for healthy behavior. The model was applied to the joint modeling of dengue, diarrhea, and tuberculosis in thirty districts in Bandung, Indonesia over a five-year period. Our findings show that the joint model was effective in understanding the characteristics of the diseases. One potential advantage of using shared component models is that they can identify diseases with spatial or temporal distribution patterns and consider shared risk factors that may be spatially correlated, such as climate. It is recommended to conduct exploratory analyses to determine the correlation between the risks of the diseases being studied and the reference disease before using this type of model.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81983563","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

HC-UAP: Outliers detection method based-on hierarchical clustering for universally aligned time-series RNA-Seq profiles HC-UAP:基于分层聚类的普遍对齐时间序列RNA-Seq图谱异常点检测方法

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2022.10.004

A. Alkhateeb

{"title":"HC-UAP: Outliers detection method based-on hierarchical clustering for universally aligned time-series RNA-Seq profiles","authors":"A. Alkhateeb","doi":"10.5267/j.dsl.2022.10.004","DOIUrl":"https://doi.org/10.5267/j.dsl.2022.10.004","url":null,"abstract":"Tracking abundant gene transcripts quantification over continuous cancer progression stages may reveal the mechanism of disease advancement. In this work, we profile the transcript quantification over the stages using a time-series approach, in which the stages/sub-stages of the disease are the time points, and the quantification measurements are the values. The values over time points are used to interpolate the growth of the progression using the cubic spline function. Then, the transcripts profiles are universally aligned and clustered using the time-series profile hierarchical clustering method based on the area between each pair of the aligned profiles; the method is named (HC-UAP). We compare the proposed method with a hierarchical clustering method based on Euclidean distance (HC-ED). Both methods were applied on two next-generation sequencing (NGS) prostate cancer datasets, the first from the Chinese and the second from the North American population. HC-ED clusters the dataset to find patterns while HC-UAP was able to single out outliers that trend differently in both datasets. While finding patterns in gene expression that trend over stages is the standard approach for analyzing time-series models, identifying outlier transcripts that grow differently than other transcripts can provide more details about the contribution of the mRNA transcriptional activity to the disease. They also can be a potential biomarker for the disease progression.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81254453","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

Modeling of citizen science cluster in making decision for readiness towards bogor smart village: An application of fuzzy c-means algorithm 公民科学集群在茂物智慧村准备决策中的建模:模糊c均值算法的应用

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.4.003

E. T. Tosida, R. Setiawan, Irma Anggraeni, Roni Jayawinangun, S. Sukono, Jumadil Saputra

{"title":"Modeling of citizen science cluster in making decision for readiness towards bogor smart village: An application of fuzzy c-means algorithm","authors":"E. T. Tosida, R. Setiawan, Irma Anggraeni, Roni Jayawinangun, S. Sukono, Jumadil Saputra","doi":"10.5267/j.dsl.2023.4.003","DOIUrl":"https://doi.org/10.5267/j.dsl.2023.4.003","url":null,"abstract":"The construction of smart villages has begun in many Indonesian villages, along with the advancement of technology and local economic growth. Villagers must participate in constructing the smart economy-smart village by becoming familiar with the characteristics of the village's inhabitants using the citizen science model. This study intends to categorize villagers so that researchers can assess and decide their level of readiness for a smart economy in an ecosystem based on a smart village. Clustering is required to find communities of residents who are ready based on their traits. Using fuzzy C-Means with a Davied Bouldin Index value of 0.129, the data were divided into 4 clusters. The most important variables were chosen using information from the test's 300 responders, and the Kaiser Mayer Olkin assumption of 0.975 was used to validate the results. Our paper provides new information on how smart village readiness is assessed by the citizen science cluster. It was decided to divide residents into four groups: those who are less prepared (24.33%), those who are somewhat prepared (29.33%), those who are ready ( 25.67%) %), those who are ready (level of participatory knowledge), and those who are very ready for the smart economy (20.67%) based on the cluster model.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82214884","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

The effect of audit quality as a moderator on the relationship between financial performance indicators and the stock return 审计质量对财务绩效指标与股票收益关系的调节作用

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.2.005

Yazen Oroud, Mohammad Almashaqbeh, Hamed Ahmad Almahadin, A. Hashem, Marwan Altarawneh

{"title":"The effect of audit quality as a moderator on the relationship between financial performance indicators and the stock return","authors":"Yazen Oroud, Mohammad Almashaqbeh, Hamed Ahmad Almahadin, A. Hashem, Marwan Altarawneh","doi":"10.5267/j.dsl.2023.2.005","DOIUrl":"https://doi.org/10.5267/j.dsl.2023.2.005","url":null,"abstract":"This study investigates how audit quality moderates the effect of financial performance indicators on the stock returns of Amman Stock Exchange-listed firms (ASE). The panel data analysis selected the data of 95 ASE-listed firms from 2013 through 2021. This analysis demonstrates a significant inverse relationship between a company's book value and its stock returns. A statistically negative relationship was observed between cash flow, dividends per share, and stock return. The empirical results of this study confirm the moderating influence of audit quality in the relationship between financial performance and stock return. Firstly, auditor's fees have a significant impact on the relationship between firm stock returns and EPS, BV, DPS, and cash flows (CFO). The size of the auditing firm moderates the relationship between company stock returns and EPS, DPS, and the CFO, but not with book value (BV). The auditor's opinion moderates the relationship between business stock returns and EPS, BV, and DPS but not the relationship between firm stock returns and cash flows (CFO). The study suggests that regulatory bodies like the Companies Control Department (CCD) and ASE should make sure that local audit firms in Jordan improve their audit quality to be on par with the Big 4 audit firms in order to improve their financial performance measures and stock returns.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83024040","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

The influence of business strategy, leadership style, and effectiveness of internal control system on implementation of good government governance and its implication on organizational performance 企业战略、领导风格、内部控制制度有效性对良好政府治理实施的影响及其对组织绩效的启示

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.5.001

Arief Fadhillah, C. Sukmadilaga, I. Farida

引用次数: 0

The effect of road types on severe road accidents in Peru 秘鲁道路类型对严重交通事故的影响

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2022.12.003

Rosita de los Ángeles Caisahuana Indigoyen, Sheylla Leydi Cuyutupac Osores, Stefany Andrea Curichimba Macedo, Ángel Narcizo Aquino Fernandez

引用次数: 0

A hybrid AHP-TOPSIS for risk analysis in maritime cybersecurity based on 3D models 基于3D模型的海上网络安全风险分析混合AHP-TOPSIS

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.6.005

I N. Putra, Amarulla Octavian, A.K. Susilo, A. R. Prabowo

引用次数: 1

Design of a hybridization between Tabu search and PAES algorithms to solve a multi-depot, multi-product green vehicle routing problem 设计了一种混合禁忌搜索和PAES算法来解决多车场、多产品的绿色车辆路径问题

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2022.11.004

Juan Sebastián Azuero-Ortiz, María Alejandr Gaviria-Hernández, Vicky Magnolia Jiménez-Rodríguez, Edgar José Vale-Santiago, Eliana María González-Neira

{"title":"Design of a hybridization between Tabu search and PAES algorithms to solve a multi-depot, multi-product green vehicle routing problem","authors":"Juan Sebastián Azuero-Ortiz, María Alejandr Gaviria-Hernández, Vicky Magnolia Jiménez-Rodríguez, Edgar José Vale-Santiago, Eliana María González-Neira","doi":"10.5267/j.dsl.2022.11.004","DOIUrl":"https://doi.org/10.5267/j.dsl.2022.11.004","url":null,"abstract":"Vehicle routing problem (VRP) is a classic problem studied in logistic. One of the most important variations within this problem is called Green Vehicle Routing Problem (GVRP), in which environmental aspects are considered when designing product delivery routes. This variant arises due to the high levels of pollution produced by transport vehicles, so it is a variation whose study represents a vital impact nowadays. This project will consider a GVRP and will be developed considering the characteristics of multi-depot (MDVRP) and multi-product (MPVRP) to minimize the costs of assignation of vehicles and CO2 emissions. To solve the problem, this project proposes a hybridization between the classic tabu search (TS) metaheuristic and the PAES algorithm (TS+PAES) to generate the Pareto frontier of both objectives. An integer mixed linear programming model is formulated and developed for each objective function separately to have an optimal point of comparison for the efficiency of the proposed algorithm. Also, the TS+PAES algorithm is compared to the nearest neighbor algorithm for large instances. Two computational experiments were carried out, one for small and the other one for large instances. The experiment for small instances showed that the GAP of each extreme of the frontier compared to the MILP model is on average 0.73%. For large instances, the metaheuristic improves in 0.1% the results presented by the MILP model showing that the metaheuristic provides closer near-optimal solutions in less computational time. Besides, the metaheuristic, in comparison with the nearest neighborhood heuristic, improves in 44.21% the results of emissions and in 3.88% the costs. All these results demonstrate the effectiveness of the metaheuristic.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79295830","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: 1

Gis and fuzzy logic approach for forest fire risk modeling in the Cajamarca region, Peru 地理信息系统和模糊逻辑方法在秘鲁卡哈马卡地区的森林火灾风险建模

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.1.002

Alex Vergara Anticona, Candy Ocaña Zúñiga, A. R. D. Santos, A. S. Lorenzon, Plinio Antonio Guerra Filho

{"title":"Gis and fuzzy logic approach for forest fire risk modeling in the Cajamarca region, Peru","authors":"Alex Vergara Anticona, Candy Ocaña Zúñiga, A. R. D. Santos, A. S. Lorenzon, Plinio Antonio Guerra Filho","doi":"10.5267/j.dsl.2023.1.002","DOIUrl":"https://doi.org/10.5267/j.dsl.2023.1.002","url":null,"abstract":"Forest fires are a potential threat to life, as they contribute to reducing forest areas, impact on the services we expect from ecosystems, the health of the inhabitants is affected by smoke and the economic costs for the recovery of affected areas is high. The objective of the study is to apply fuzzy logic to model the risk of forest fires in the Cajamarca-Peru region, incorporating variables that represent biological, topographic, socioeconomic, and meteorological factors. The analysis was based on the acquisition, editing and rasterization of the database, application of fuzzy membership functions and image fuzzification, fuzzy superposition and spatial reclassification of forest fire risk. The results obtained show that 71.68% of the area is under very low or medium forest fire risk. However, 28.32% of the study area has a high to very high fire risk, which makes the occurrence of fires susceptible to the lack of rain and water in the soil. It was found that biological, topographic, and socioeconomic factors with their respective variables are directly influenced by meteorological factor variables such as temperature, rainfall and water availability. Fuzzy logic offered flexibility in modeling wildfire risk in the region, proving to be a useful tool for predicting and mapping wildfire risk.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78602857","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: 1