Yes / This study aimed to determine factors that influence the nursing workforce shortage and their impact on nurses. This study applied a systematic review design. Using Cochrane library guidelines, five electronic databases were systematically searched (Research 4life-PubMed/Medline, Scopus, Embase, CINAHL) from 2010-2021. The remaining articles with pertinent information were presented in a data extraction sheet for further thematic analysis. A Reporting Items for Systematic Reviews and Meta-Analysis Flow Diagram was adopted and used. The studies published from 2010-2021 and in English language were examined and included in the systematic review. Four themes were identified as factors influencing the nursing workforce shortage, including Policy and planning barriers, Barriers to training and enrolment, Factors causing nursing staff turnover and Nurses' stress and burnout. Nursing workforce shortage is a global challenge that roots in multiple causes such as individual, educational, organizational and managerial and policy-making factors.

Yes / Immunization against common childhood diseases is an important strategy as it is critical for reducing the global child morbidity and mortality. This review explores the perceptions of parents and HCWs toward childhood immunization. The PRISMA guideline was used to search and include the studies. Relevant electronic databases were systemically searched for the years ranging from 2000 to 2021 to identify studies reported in English. Themes were then identified using thematic analysis. A total of 44 studies met the review criteria and were summarized and categorized into 4 themes: barriers to immunization, parental knowledge, attitude and behavior (KAB), health system factors and HCWs’ KAB. This review found that immunization decision-making is a complex process. Parental KAB leads to immunization decisions. HCWs were also noted to be the trusted sources of immunization information. Further research can be conducted on how to improve parents’ perceptions of immunization and immunization practices.

Yes / There is increasing interest in the use of artificial intelligence (AI) in pathology to increase accuracy and efficiency. To date, studies of clinicians' perceptions of AI have found only moderate acceptability, suggesting the need for further research regarding how to integrate it into clinical practice. The aim of the study was to determine contextual factors that may support or constrain the uptake of AI in pathology. To go beyond a simple listing of barriers and facilitators, we drew on the approach of realist evaluation and undertook a review of the literature to elicit stakeholders' theories of how, for whom, and in what circumstances AI can provide benefit in pathology. Searches were designed by an information specialist and peer-reviewed by a second information specialist. Searches were run on the arXiv.org repository, MEDLINE, and the Health Management Information Consortium, with additional searches undertaken on a range of websites to identify gray literature. In line with a realist approach, we also made use of relevant theory. Included documents were indexed in NVivo 12, using codes to capture different contexts, mechanisms, and outcomes that could affect the introduction of AI in pathology. Coded data were used to produce narrative summaries of each of the identified contexts, mechanisms, and outcomes, which were then translated into theories in the form of context-mechanism-outcome configurations. A total of 101 relevant documents were identified. Our analysis indicates that the benefits that can be achieved will vary according to the size and nature of the pathology department's workload and the extent to which pathologists work collaboratively; the major perceived benefit for specialist centers is in reducing workload. For uptake of AI, pathologists' trust is essential. Existing theories suggest that if pathologists are able to "make sense" of AI, engage in the adoption process, receive support in adapting their work processes, and can identify potential benefits to its introduction, it is more likely to be accepted. For uptake of AI in pathology, for all but the most simple quantitative tasks, measures will be required that either increase confidence in the system or provide users with an understanding of the performance of the system. For specialist centers, efforts should focus on reducing workload rather than increasing accuracy. Designers also need to give careful thought to usability and how AI is integrated into pathologists' workflow.

Yes / Water is essential in everyday life hence, there is a need for it to be available in quality and quantity to all. This study aimed to review relevant published studies on water accessibility and safety in Ghana from 2015 to 2022 to determine the plausibility of Ghana achieving Sustainable Development Goal 6.1 by 2030. METHODOLOGY A systematic review was conducted based on the PRISMA guidelines using four databases including ProQuest, Science Direct, Web of Science and Scopus. Studies with data on specified keywords and published in English from January 2015 to June 2022 were included in this study. Duplicated titles were removed and the title, and full text of remained studies were reviewed by two independent coders. Thematic analysis was conducted to identify themes. RESULTS Ten studies met the criteria and the majority of them used qualitative design (60%). Five main themes were identified including; causes of water contamination, the prevalence of waterborne diseases, types of water sources, implemented policies and challenges for policy implementation. The government implemented policies to provide safe and potable drinking water for the citizen and now, about 72% of the population have access to treated pipe water. Some challenges facing implemented policies include political interest in illegal mining, inadequate waste disposal facilities, and poverty. CONCLUSION This study shows that Ghana can achieve Sustainable Development Goal 6.1 which is "Access to clean and affordable water for all" by 2030. The government, public health organizations and stakeholders should work together to alleviate the challenges faced in achieving this goal.

Yes / A literature review is a key part of all academic research that informs researchers of the existing body of knowledge. Reviews conducted systematically are becoming more appealing to the researcher about two reasons. Firstly, they are robust, strong, comprehensive and reproducible and can appropriately serve the review of any primary research. Secondly, they are qualified to be a stand-alone piece of academic work that contributes to the scientific body of knowledge. Although researchers and students in higher education who wish to write their dissertations are informed about the need for generating a literature review for primary research, when it comes to conducting a full systematic review, they may have some confusion and doubt on the distinction between a traditional literature review and a systematic review. This paper aims to clarify what a systematic review entails and take the readers' attention through the practical steps in conducting a systematic review. So, more of a practical step-by-step guide, rather than theoretical discussion of content, has been included. This paper would benefit early-career researchers, undergraduate students and many post-graduate students who wish to write their papers or dissertations based on a systematic review.

This research is an effort to test our hypothesis that a software agent based architecture will provide a better response time and will be more maintainable and reusable than the present J2EE based architecture of DLNET (Digital Library Network for Engineering and Technology). We have taken a portion of the complete DLNET application for our study, namely the Content Review Process, as our test bed. In this work, we have explored the use of software agents in the current setup of DLNET for the first time, specifically for the Content Review part of the application and tried to evaluate the performance of the resulting application. Our work is a novel approach of doing content review using software agent architecture. The proposed system is an automated process that will asynchronously look for suitable reviewers based on content (the input) and create logs for the administrator to view and analyze. In the first part of the thesis we develop a new system that is parallel to the existing DLNET Content Review Process. In the second part, we compare the newly developed Content Review Process with the baseline (old Content review Process) by designing comparison tests and measuring instruments. This part of the thesis includes the selection of dependent variables, design of various measurement instruments, execution of the quasi-experiments and analysis of the empirical results of comparisons tests. The quasi-experiments are done to measure the response time, maintainability, scalability, correctness, reliability and reusability of the two systems. The results show that the proposed software agent based system gives better response time (an improvement ranging from 57% to 82%) and is more maintainable (an improvement ranging from 16% to 67%) and more reusable (an improvement ranging from 1% to 26%). The improvement in the response time may be attributed to the fact that the agent based systems are inherently multithreaded while the existing content review system is a serial application. Both the systems, however, give comparable results for other dependent variables. / Master of Science

No / The Legal Education and Training Review (LETR) which reported in June 2013 conceded that undergraduate law degrees are generally outside the remit of the review other than when there is a direct impact on the provision of legal services. On first glance therefore the review has few implications for those of us interested in delivering a liberal legal education and developing socio-legal approaches to law and legal study. However, on closer reading, the report contains a number of suggestions which, if taken up by the regulators, have significant potential to change law degrees, even if regulation remains “light touch”. This article explores those issues with a particular focus on the implications for liberal law degrees and socio-legal approaches to law teaching. In particular the article will explore issues around possible changes to foundation subjects; the creation of a framework of learning outcomes; the possible strengthening of legal writing and research in the curriculum and the opportunities offered for the introduction of more socio-legal material; and the trickle-down effect likely to be felt by providers of undergraduate law degrees of changes in regulation of legal services and as a result of student, employer and other stakeholder expectations.

Yes / Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making process, have recently attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. However, there are different types of analytic applications to consider. Therefore, prior to hasty use and buying costly BD tools, there is a need for organizations to first understand the BDA landscape.Given the significant nature of the BDand BDA, this paper presents a state-ofthe- art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/ employed by organizations to help others understand this landscape with the objective of making robust investment decisions. In doing so, systematically analysing and synthesizing the extant research published on BD and BDA area. More specifically, the authors seek to answer the following two principal questions: Q1 –What are the different types of BD challenges theorized/proposed/confronted by organizations? and Q2 – What are the different types of BDA methods theorized/proposed/employed to overcome BD challenges?. This systematic literature review (SLR) is carried out through observing and understanding the past trends and extant patterns/themes in the BDA research area, evaluating contributions, summarizing knowledge, thereby identifying limitations, implications and potential further research avenues to support the academic community in exploring research themes/patterns. Thus, to trace the implementation of BD strategies, a profiling method is employed to analyze articles (published in English-speaking peer-reviewed journals between 1996 and 2015) extracted from the Scopus database. The analysis presented in this paper has identified relevant BD research studies that have contributed both conceptually and empirically to the expansion and accrual of intellectual wealth to the BDA in technology and organizational resource management discipline.

Yes / Sustainable operations management (SOM) can be defined as the operations strategies, tactics and techniques, and operational policies to support both economic and environmental objectives and goals. The subject of sustainability has gained much attention from both researchers and practitioners in the past 6–8 years. Most of the articles deal with sustainability from environmental perspectives, but a limited number of them integrate both economic and environmental implications or focus on trading-off between profitability, competitiveness and environmental dimensions. Moreover, there is a limited focus on modelling and analysis (MA) of SOM integrating and balancing the interests of both economic and environmental interests. Therefore, an attempt has been made in this paper to review the extant literature on SOM. The objective is to understand the definition of SOM and present the current status of research in MA, as well as future research directions in the field. Considering the recent focus of the subject, we review the literature on MA of SOM beginning in 2000 in order to make our study current and more relevant for both researchers and practitioners. Finally, a summary of findings and conclusions is reported.

No / This study explores the progress of social innovation research in a public sector context by systematically analyzing its existing body of knowledge to identify areas of societal impact and reveal areas of limitations and potential further research. The findings revealed that most of the studies on social innovation in the public sector are conceptual in nature. The article presents propositions based on the diagnosed limitations of research in the area.