Systematic Literature Review and Meta-Analysis Journal最新文献

{"title":"A comprehensive systematic literature review on traffic flow prediction (TFP)","authors":"Md Moshiur Rahman, Md. Mahbubul Alam Joarder, Naushin Nower","doi":"10.54480/slrm.v3i3.44","DOIUrl":"https://doi.org/10.54480/slrm.v3i3.44","url":null,"abstract":"Nowadays, traffic congestion is becoming a severe problem for almost every urban area. It badly hampers the economic growth of a country because it has negative effects on productivity and business. Increasing populations and urbanization are the main reasons for traffic congestion in most cities. However, traffic prediction, forecasting, and modeling can help provide appropriate routes and times for traveling and can significantly impact traffic jam reduction. Currently, there is a lot of research being done on traffic flow analysis in all developed countries, and they are planning their future accordingly. The objective of this review paper is to provide a comprehensive and systematic review of the traffic prediction literature, containing 98 papers published from 2010 to 2020. The papers are extracted from four well-known publishers and databases: Scopus, ScienceDirect, IEEE Xplore, and ACM. This article concentrates on the research approaches, directions, and gaps in traffic flow prediction. It also talks about current trends in predicting traffic flow and what might be taken into account in the future.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132160417","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}

{"title":"Trajectory inference in single cell data: A systematic literature review","authors":"Ishrat Jahan Emu, Sumon Ahmed","doi":"10.54480/slrm.v3i3.46","DOIUrl":"https://doi.org/10.54480/slrm.v3i3.46","url":null,"abstract":"Recent advances in single-cell transcriptomics have made it possible to explore the dynamic mechanisms of immunology in a high-throughput and objective manner. Unsupervised trajectory inference methods attempt to automatically reconstruct the developmental path cells are following by using a mixture of cells at various stages of development. In the past few years, there have been a multitude of new techniques for deducing the trajectory of a single cell from its data. This paper proposes that new researchers might focus on these criteria by examining the strategies and challenges of existing methodologies. Using specific databases (Scopus, Google Scholar and IEEE Xplore), these single cell data trajectory inference studies from 2016 to 2022 were reviewed. We have adhered to the PRISMA structure. Three databases and the most recent works on trajectory inference have been selected. The majority of studies compared their results to those of previously established methods. Several challenges were identified. Additionally, we attempted to identify the most recent work strategies. This may aid future researchers in locating suitable strategies.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129666528","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}

{"title":"Automatic cell type annotation using supervised classification: A systematic literature review","authors":"Nazifa Tasnim Hia, Sumon Ahmed","doi":"10.54480/slrm.v3i3.45","DOIUrl":"https://doi.org/10.54480/slrm.v3i3.45","url":null,"abstract":"Single-cell sequencing gives us the opportunity to analyze cells on an individual level rather than at a population level. There are different types of sequencing based on the stage and portion of the cell from where the data are collected. Among those Single Cell RNA seq is most widely used and most application of cell type annotation has been on Single-cell RNA seq data. Tools have been developed for automatic cell type annotation as manual annotation of cell type is time-consuming and partially subjective. There are mainly three strategies to associate cell type with gene expression profiles of single cell by using  marker genes databases, correlating expression data, transferring levels by supervised classification. In this SLR, we present a comprehensive evaluation of the available tools and the underlying approaches to perform automated cell type annotations on scRNA-seq data.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131973482","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}

{"title":"Systematic literature reviews: An opportunity for transformation","authors":"Jaideep Kaneria, Sakshi Sharma","doi":"10.54480/slrm.v3i2.40","DOIUrl":"https://doi.org/10.54480/slrm.v3i2.40","url":null,"abstract":"Life sciences industry is witnessing a paradigm shift of evidence-based approach from population to patient level. This shift is being supported by structured evidence generation methodologies like Systematic Literature Review (SLR), Real World Evidence (RWE), and others to support regulatory, clinical and policy level decision making. The amalgamation of SLR, with real world data and quantitative techniques like Meta-Analysis, Network Meta-Analysis represent highest level of evidence generation. However, the current state of generating SLR, involves manual and labor-intensive process with high dependency on developed countries. The various stakeholders worldwide viz: researchers and policy makers are demanding technology levers to optimize the end-to-end SLR process. As the future of evidence generation will be more complex, industry should        invest in smart, intelligent, and connected technology and science-based ecosystem to disrupt and        transform existing manual process. This article presents the SLR trends, challenges and potential transformation use case leveraging technology, global capability, and capacity harmonization.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121126369","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}

{"title":"Assessment of the vulnerability of groundwater to anthropogenic contaminants in Kasihan, Bantul, Yogyakarta special province, Indonesia","authors":"Mohamed Allieu Bah, Doni Prakasa Eka Putra, Heru Hendrayana","doi":"10.54480/slrm.v3i2.55","DOIUrl":"https://doi.org/10.54480/slrm.v3i2.55","url":null,"abstract":"Groundwater contamination is a ubiquitous problem, especially in developing countries such as Indonesia. Groundwater vulnerability assessment is an effective tool that provides information about the status of groundwater and potential contaminants. This approach helps in groundwater conservation and management. This study conducted an intrinsic groundwater vulnerability assessment to anthropogenic contamination in Kasihan, Yogyakarta, Indonesia. This research delineated the spatial distribution of physicochemical properties of groundwater and analysed land-use patterns. This study was conducted based on Groundwater confinement, Overlying materials and Depth to groundwater table (GOD) method. The GOD method was applied to assess the intrinsic properties of the geology and hydrogeology of the study area. Secondary land use data were analysed using GIS software to determine major anthropogenic activities in the research area. Land use and cover analysis of the study area indicated a rapid development including settlement, agricultural and industrial facilities. Groundwater vulnerability assessment showed medium to high classes. These findings suggest a high probability of contamination at present and in the future. Thus, future researchers should assess the groundwater quality of Kasihan based on specific vulnerability using groundwater flow and mass transport modelling because the investigated area is highly susceptible to pollutants.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129780373","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}

{"title":"A systematic review of multi-depot vehicle routing problems","authors":"Amina Nura, Shamsu Abdullahi","doi":"10.54480/slrm.v3i2.37","DOIUrl":"https://doi.org/10.54480/slrm.v3i2.37","url":null,"abstract":"Multi-Depot Vehicle Routing Problem (MDVRP) is a heuristic optimization problem that capture interest of several researchers' for its applicability to real-life situations. The variant of MDVRP are solved with some certain constraints such as service time, time window, vehicle capacity, travelled distance etc. these makes MDVRP to cover several situations In this, 76 studies related to MDVRP from 2012 to 2022 were systematically reviewed. The studies are review based on their constraints and an application through various fields. The goal of this research is to examine the contemporary state of MDVRP and its applications. To achieve this goal, we formed a comprehensive search process which was employed on high rated scientific journals databases. The search process resulted to numerous important research papers in the research domain which were theoretically reviewed. The research papers found are screened based on the titled, abstract, year of publication and exhaustive reading of full text in order to extract the related information that will address the aim of this study. Finally, the selected studies were categorized based on constraints and real-life applications they tackled. The outcome of our study shows that minimizing travelled distance and service time were the most constraints addressed by the selected studies, transportation network, waste management; distribution problems were the most widely used real-life applications of MDVRP concentrated on. ","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125030152","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}

{"title":"The implications of COVID 19 on the publication of library and information science literature in Africa: A bibliometric study","authors":"Andrew Ojulong, Rhoda Diyoshak, Constant Okello-Obura","doi":"10.54480/slrm.v3i2.56","DOIUrl":"https://doi.org/10.54480/slrm.v3i2.56","url":null,"abstract":"In almost a blink of an eye COVID 19 pandemic has surprised the world with devastating effects witnessed across the globe. There was urgent need to establish whether COVID 19 has taken hold of the publishing industry based on the unprecedented pandemic situation in the modern world. The study employed desk review alongside citation and bibliographic analysis to carry out inquiry into the publications in Library and Information Science as a case covering the period 2017 to 2020 and looking at the top 10 publishing countries in Africa. There was need to ascertain the hypothesis that COVID 19 pandemic could have affected the publication trends of literature with consideration of the trajectories before and at present. Findings suggest that research output increased during COVID 19 period with Nigeria and South Africa taking the lead in publications respectively while South Africa had the highest impact factor. Uganda, and Algeria remained extremely low with disparity between countries in terms of the number of publications wider as evidenced by the higher standard deviation of 100.9.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125473472","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}

{"title":"Bibliometric Analysis of HIV/AIDS Research Publication Trends in Uganda from 1982 to 2020","authors":"Alice Gitta Kutyamukama, A. Mohammed, C. Okello-Obura","doi":"10.54480/slrm.v3i1.30","DOIUrl":"https://doi.org/10.54480/slrm.v3i1.30","url":null,"abstract":"Background: The human immunodeficiency virus (HIV) epidemic continues to be a major global health concern, with approximately 38 million people living with the disease, with over two-thirds of those (25.4 million) living in the WHO African Region. In 2020, 680,000 people will die from HIV-related causes, while 1.5 million will acquire the virus. Bibliometric methodologies were used to investigate and analyze the scientific research development on HIV/acquired immunodeficiency syndrome (AIDS) in Uganda. Methods: A comprehensive retrospective bibliometric analysis was performed on HIV/AIDS literature in Uganda published from 1982 until 2020 and was retrieved using Harzing’s Publish or Perish. We extracted the publications from the Google Scholar database. To ensure all retrieved publications address HIV/AIDS issues in Uganda, a search strategy with \"HIV\" or \"AIDS\" and \"Uganda\" as keywords was performed using the keywords field to refine the results. Results: A total of 446 publications were selected and used. The findings indicated that Relative Growth Rate (RGR) had increased from 0.29 (1996) to 3.40 (2020) with some fluctuations between the years, with a decreasing trend from 2.39 (1996) to 0.20 (2020) with slight fluctuations between the years. The majority of publications (60.3 percent) were written by a single author, with the remainder (15.2%) written collaboratively by two writers.More than half (59.64%) of the publications were cited at least once. In Uganda, research on HIV/AIDS is mostly published by international journal publishers rather than African journal publishers. Journals of medicine-related titles have the most articles published about HIV/AIDS research in Uganda, while gender-related journals have the least.\u0000Conclusion: According to the findings, in Uganda, HIV/AIDS researchers generally collaborated poorly, and researchers tended to publish more with Francis and Taylor, Springer, Elsevier, and Wiley than with other publishers. However, there was relative HIV/AIDS research growth overtime.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114713499","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}

{"title":"Thirty-Five Years of Wellbeing & Healthcare Research.","authors":"Javed Ali, Amjad Mehran Khan, Attaullah Jatoi, N. Nasrullah, Muhammad Aasim Soomro","doi":"10.54480/slrm.v3i1.31","DOIUrl":"https://doi.org/10.54480/slrm.v3i1.31","url":null,"abstract":"The gradual surge in the importance of ‘wellbeing’ and ‘healthcare services’, motivated us to map the literature of the keywords mentioned. The aim of the study was to conduct the bibliometric analysis of ‘wellbeing and healthcare’ research by using the Scopus database. Data was extracted from 1985 to 2020 and analysed by using VOSviewer software and MS Excel. Co-authorship and Co-occurrence analysis were executed to investigate the links and collaborations among the authors, countries, and author keywords globally. Results revealed that Bamvita J. -M. and Fleury M. -J. both were having greater total link strength (TLS), United Kingdom was leading other countries in collaborations and affiliations with greater TLS, and mental health, depression, quality of life, and burnout were the keywords found with higher co-occurrence with ‘wellbeing and healthcare’. Findings also showed the publication output throughout the years, prolific authors and journals, prominent countries, and institutions in the literature of ‘wellbeing and healthcare’. Conclusively, future research directions were recommended.","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122424431","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}

{"title":"A Bibliometric analysis of Green Innovation Research","authors":"Huma Sikandar, Umar Haiyat Abdul Kohar","doi":"10.54480/slrm.v3i1.32","DOIUrl":"https://doi.org/10.54480/slrm.v3i1.32","url":null,"abstract":"Green innovation has grown in organisational importance as a result of its contribution to meeting environmental needs while also allowing businesses to differentiate themselves from their competitors and hence gain sustainable competitive advantages. Given its importance it feels important to conduct a bibliometric analysis to forecast the growth of green innovation research publications. This paper explores all the disciplines in which green innovation research is published. The Scopus database is used to find published literature in the field, and bibliometric analysis was used to show trends in scholarly and professional publications This paper examines the status and evolution of 1094 published articles on green innovation research from 1995 to 2021. This study presents the most productive countries, top authors, top journals, and most cited articles as a result of this research. Through co-authorship analysis we identified the countries involved in collaborative research and through co-occurrence of keyword we identified the hot topics in green innovation research and also the emerging topic whose relationship with green innovation is yet to be explored. The limitations and future directions of research has also been provided at the end. This document is intended to serve as a guide for researchers who are new to the field of green innovation and want to improve their knowledge of the subject by identifying the best journals, authors, and papers from which to build their theoretical framework or construct future research models","PeriodicalId":355296,"journal":{"name":"Systematic Literature Review and Meta-Analysis Journal","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114855893","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}