scholarly journals Global E-government Trends, Challenges and Opportunities

2021 ◽  
pp. 175-180
Author(s):  
Alanoud Alshehri ◽  
Somayah Alharbi ◽  
Mashael Khayyat ◽  
Omar Aboulola
Keyword(s):  
Systematic Review ◽  
Research Work ◽  
Government Policies ◽  
Limited Resources ◽  
Systematic Review Methodology ◽  
Digital Government ◽  
Digital Services ◽  
Complex Process ◽  
Challenges And Opportunities ◽  
Geographic Regions

E-government is crucial in this era for all countries, either developed or developing. Although it has provided numerous advantages and opportunities, the E-government transformation is still considered a complex process. Considering the available research work and data on e-government surveys by the United Nations, this research has primarily focused on the global complexities of applying E-government along with regional and global E-government leaders. This research has been conducted using a systematic review methodology. According to 2020 surveys, the results are promising to show significant advancement in digital services in various geographic regions, cities, and countries. However, the results showed also that the most common challenges facing governments worldwide are the absence of digital infrastructures, limited resources for adopting the digital government policies, and lack of trust. Hence, governments must build trust with their citizens so that they can participate and avoid any resistance.

Systematic review methodology for development: An example from microfinance

2018 ◽  
Vol 43 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Carina Van Rooyen ◽  
Ruth Stewart ◽  
Thea De Wet
Keyword(s):  
Systematic Review ◽  
International Development ◽  
Health Sector ◽  
Evidence Based ◽  
Systematic Review Methodology ◽  
Development Interventions ◽  
The Us ◽  
Sub Saharan ◽  
The Impact ◽  
Evidence Based Decision Making

Big international development donors such as the UK’s Department for International Development and USAID have recently started using systematic review as a methodology to assess the effectiveness of various development interventions to help them decide what is the ‘best’ intervention to spend money on. Such an approach to evidence-based decision-making has long been practiced in the health sector in the US, UK, and elsewhere but it is relatively new in the development field. In this article we use the case of a systematic review of the impact of microfinance on the poor in sub-Saharan African to indicate how systematic review as a methodology can be used to assess the impact of specific development interventions.

scholarly journals Recommendation Systems for Education: Systematic Review

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1611
Author(s):  
María Cora Urdaneta-Ponte ◽  
Amaia Mendez-Zorrilla ◽  
Ibon Oleagordia-Ruiz
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Formal Education ◽  
Research Work ◽  
Hybrid Approach ◽  
Recommendation Systems ◽  
Educational Resources ◽  
Future Research ◽  
Collaborative Approach ◽  
Developmental Approach

Recommendation systems have emerged as a response to overload in terms of increased amounts of information online, which has become a problem for users regarding the time spent on their search and the amount of information retrieved by it. In the field of recommendation systems in education, the relevance of recommended educational resources will improve the student’s learning process, and hence the importance of being able to suitably and reliably ensure relevant, useful information. The purpose of this systematic review is to analyze the work undertaken on recommendation systems that support educational practices with a view to acquiring information related to the type of education and areas dealt with, the developmental approach used, and the elements recommended, as well as being able to detect any gaps in this area for future research work. A systematic review was carried out that included 98 articles from a total of 2937 found in main databases (IEEE, ACM, Scopus and WoS), about which it was able to be established that most are geared towards recommending educational resources for users of formal education, in which the main approaches used in recommendation systems are the collaborative approach, the content-based approach, and the hybrid approach, with a tendency to use machine learning in the last two years. Finally, possible future areas of research and development in this field are presented.

scholarly journals A Survey of Information Cascade Analysis

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Fan Zhou ◽  
Xovee Xu ◽  
Goce Trajcevski ◽  
Kunpeng Zhang
Keyword(s):  
Information Diffusion ◽  
Research Work ◽  
Viral Marketing ◽  
Graph Representation ◽  
Digital Information ◽  
Information Cascades ◽  
Challenges And Opportunities ◽  
Scientific Papers ◽  
Popularity Prediction ◽  
Types Of Information

The deluge of digital information in our daily life—from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising—offers unprecedented opportunities to explore and exploit the trajectories and structures of the evolution of information cascades. Abundant research efforts, both academic and industrial, have aimed to reach a better understanding of the mechanisms driving the spread of information and quantifying the outcome of information diffusion. This article presents a comprehensive review and categorization of information popularity prediction methods, from feature engineering and stochastic processes , through graph representation , to deep learning-based approaches . Specifically, we first formally define different types of information cascades and summarize the perspectives of existing studies. We then present a taxonomy that categorizes existing works into the aforementioned three main groups as well as the main subclasses in each group, and we systematically review cutting-edge research work. Finally, we summarize the pros and cons of existing research efforts and outline the open challenges and opportunities in this field.

scholarly journals Improving prediction model systematic review methodology: Letter to the Editor

2021 ◽  
Author(s):  
Garrett S. Bullock ◽  
Tom Hughes ◽  
Jamie C. Sergeant ◽  
Michael J. Callaghan ◽  
Gary S. Collins ◽  
...  
Keyword(s):  
Systematic Review ◽  
Prediction Model ◽  
Systematic Review Methodology ◽  
Letter To The Editor

scholarly journals Recommender systems in model-driven engineering

2021 ◽  
Author(s):  
Lissette Almonte ◽  
Esther Guerra ◽  
Iván Cantador ◽  
Juan de Lara
Keyword(s):  
Recommender Systems ◽  
Information Filtering ◽  
Research Work ◽  
Model Driven Engineering ◽  
Video Broadcasting ◽  
Model Driven ◽  
Challenges And Opportunities ◽  
Mapping Review ◽  
Development Processes ◽  
Systematic Mapping Review

AbstractRecommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are witnessing a growing research interest on recommendation approaches that assist with modelling tasks and model-based development processes. In this paper, we report on a systematic mapping review (based on the analysis of 66 papers) that classifies the existing research work on recommender systems for model-driven engineering (MDE). This study aims to serve as a guide for tool builders and researchers in understanding the MDE tasks that might be subject to recommendations, the applicable recommendation techniques and evaluation methods, and the open challenges and opportunities in this field of research.

scholarly journals Factors affecting consultant attitudes to undertaking undergraduate medical student teaching in the UK: a systematic review

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042653
Author(s):  
Isobel Marion Harris ◽  
Heather McNeilly ◽  
Hani Benamer ◽  
Derek J Ward ◽  
Alice J Sitch ◽  
...  
Keyword(s):  
Systematic Review ◽  
Medical Students ◽  
Student Teaching ◽  
Data Extraction ◽  
Undergraduate Medical Students ◽  
Systematic Review Methodology ◽  
Factors Affecting ◽  
Persistent Problem ◽  
Medical Student Teaching ◽  
The Uk

ObjectiveThis systematic review aimed to explore consultant attitudes towards teaching undergraduate medical students in the UK.DesignSystematic review.MethodologyStandard systematic review methodology was followed. MEDLINE, EMBASE and OpenGrey were searched from inception to August 2019 to identify studies exploring senior doctors’ attitudes towards teaching undergraduate medical students. Two reviewers independently carried out key methodological steps including study screening/selection, quality assessment and data extraction. A narrative synthesis was undertaken.ResultsFive studies were included in the review dating 2003–2015. Two studies used questionnaires, and three used focus groups/semistructured interviews. Key findings identified across all studies were consultants generally found teaching undergraduate medical students enjoyable, and consultants identified time constraints as a barrier to teaching. Other findings were consultants feeling there was a lack of recognition for time spent teaching, and a lack of training/guidance regarding teaching students.ConclusionsThis is the first systematic review to explore senior hospital doctors’ attitudes towards teaching undergraduate medical students. Despite these five studies spanning 12 years, the same attitudes and issues regarding teaching are identified by all, suggesting lack of time particularly is a persistent problem regarding consultant-based teaching. An anecdotal impression is that consultants are no longer as enthusiastic about teaching as they once were, but it is evident over the 12 years of these studies that enjoyment levels, and presumably enthusiasm, have not changed significantly.

scholarly journals Traditional, phytochemical, and biological aspects of Rosa alba L.: a systematic review

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Anju Verma ◽  
Rajni Srivastava ◽  
Pankaj Kumar Sonar ◽  
Ramprakash Yadav
Keyword(s):  
Systematic Review ◽  
Biological Activities ◽  
Chemical Constituents ◽  
Research Work ◽  
Biological Properties ◽  
Medicinal And Aromatic Plants ◽  
Research Papers ◽  
Northwest Africa ◽  
The Family ◽  
White Rose

Abstract Background Rosa alba L. belongs to the family Rosaceae. This species is widely cultivated in Europe, Asia, North America, and Northwest Africa due to its fragrance, ornamental, and medicinal values. It is commonly known as white oil-bearing rose, white rose, white rose of York, backyard rose, and sufaid gulab. Main text Rosa alba L. has many biological properties like antioxidant, antimicrobial, antifungal, antifertility, teratogenic, memory enhancing, cytotoxic, and genotoxic activities. The essential oil of Rosa alba L. possesses good antimicrobial activity and consists of many chemical constituents like- citronellol, geraniol, nerol, linalool, citral, carvacrol, eugenol, etc. Conclusion This article briefly reviews the cultivation, traditional uses, phytochemistry, and biological activities of Rosa alba L. Many research papers have been published on the proposed plant and still, there is a very vast scope of research on it. Therefore, this review will be very fruitful for those scientists who are doing or plan to do research work on this plant. All the scientific findings written in this review are explored from Google web, Google Scholar, PubMed, ScienceDirect, Medicinal and Aromatic Plants Abstracts (MAPA), and SciFinder. To date, it is the first systematic review article of such kind, on this plant.

scholarly journals Healthcare Applications of Smart Watches

2016 ◽  
Vol 07 (03) ◽  
pp. 850-869 ◽  
Author(s):  
Tsung-Chien Lu ◽  
Chia-Ming Fu ◽  
Matthew Ma ◽  
Cheng-Chung Fang ◽  
Anne Turner
Keyword(s):  
Systematic Review ◽  
Clinical Trials ◽  
Usability Testing ◽  
Chronically Ill ◽  
The Elderly ◽  
Healthcare Research ◽  
User Centered Design ◽  
Healthcare Applications ◽  
Systematic Review Methodology ◽  
Smart Watch

SummaryThe aim of this systematic review is to synthesize research studies involving the use of smart watch devices for healthcare.The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was chosen as the systematic review methodology. We searched PubMed, CINAHL Plus, EMBASE, ACM, and IEEE Xplore. In order to include ongoing clinical trials, we also searched ClinicalTrials.gov. Two investigators evaluated the retrieved articles for inclusion. Discrepancies between investigators regarding article inclusion and extracted data were resolved through team discussion.356 articles were screened and 24 were selected for review. The most common publication venue was in conference proceedings (13, 54%). The majority of studies were published or presented in 2015 (19, 79%). We identified two registered clinical trials underway. A large proportion of the identified studies focused on applications involving health monitoring for the elderly (6, 25%). Five studies focused on patients with Parkinson’s disease and one on cardiac arrest. There were no studies which reported use of usability testing before implementation.Most of the reviewed studies focused on the chronically ill elderly. There was a lack of detailed description of user-centered design or usability testing before implementation. Based on our review, the most commonly used platform in healthcare research was that of the Android Wear. The clinical application of smart watches as assistive devices deserves further attention.Smart watches are unobtrusive and easy to wear. While smart watch technology supplied with biosensors has potential to be useful in a variety of healthcare applications, rigorous research with their use in clinical settings is needed.Citation: Lu T-C, Fu C-M, Ma M H-M, Fang C-C, Turner AM. Healthcare applications of smart watches: A systematic review.

scholarly journals The effect of unilateral and bilateral laparoscopic surgery for endometriosis on Anti-Mullerian Hormone (AMH) level after 3 and 6 months: a systematic review and meta-analysis

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Anisodowleh Nankali ◽  
Mohsen Kazeminia ◽  
Parnian Kord Jamshidi ◽  
Shamarina Shohaimi ◽  
Nader Salari ◽  
...  
Keyword(s):  
Systematic Review ◽  
Laparoscopic Surgery ◽  
Growth Factors ◽  
Web Of Science ◽  
Meta Analysis ◽  
Research Work ◽  
Mean Difference ◽  
Transient Growth ◽  
Common Causes ◽  
Standardized Mean Difference

Abstract Background Endometriosis is one of the most common causes of infertility. The causes of the disease and its definitive treatments are still unclear. Moreover, Anti-Mullerian Hormone (AMH) is a glycoprotein dimer that is a member of the transient growth factors family. This research work aimed to identify the effect of unilateral and bilateral laparoscopic surgery for endometriosis on AMH levels after 3 months, and 6 months, using meta-analysis. Methods In this study, the articles published in national and international databases of SID, MagIran, IranMedex, IranDoc, Cochrane, Embase, Science Direct, Scopus, PubMed, and Web of Science (ISI) were searched to find electronically published studies between 2010 and 2019. The heterogeneous index between studies was determined using the I2 index. Results In this meta-analysis and systematic review, 19 articles were eligible for inclusion in the study. The standardized mean difference was obtained in examining of unilateral laparoscopic surgery for endometriosis (before intervention 2.8 ± 0.11, and after 3 months 2.05 ± 0.13; and before intervention 3.1 ± 0.46 and after 6 months 2.08 ± 0.31), and in examining bilateral laparoscopic surgery for endometriosis examination (before intervention 2.0 ± 08.08, and after 3 months 1.1 ± 0.1; and before intervention 2.9 ± 0.23 and after 6 months 1.4 ± 0.19). Conclusion The results of this study demonstrate that unilateral and bilateral laparoscopic surgery for endometriosis is effective on AMH levels, and the level decreases in both comparisons.

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