Search

Purpose: This narrative review explores papers published in peer-reviewed journals reporting research from a practice research module of a qualifying program to examine their potential contribution to knowledge in mental health social work. Methods: A narrative review was undertaken according to the PRISMA extension for scoping reviews of papers published by the first three cohorts of a practice research module. Results: Eleven papers were included in the review which found, for example, some deficits in practitioners' knowledge, confidence and understanding. The studies were modest and had some common limitations, but a high number of online views indicate that the papers have the potential to impact on practice. Conclusion: This review found that it is possible to use a practice research module of a qualifying program to train social workers to undertake and publish high-quality research which has the potential to influence policy or practice beyond a students' own learning. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this survey was to create a list of essential historical and contemporary readings for undergraduate and graduate students in the field of exercise physiology. Methods: Fifty-two exercise physiologists/sport scientists served as referees, and each nominated ∼25 papers for inclusion in the list. In total, 396 papers were nominated by the referees. This list was then sent back to the referees, with the instructions to nominate the "100 essential papers in sports and exercise physiology." Results: The referees cast 4722 votes. The 100 papers with the highest number of votes received 51% (2406) of the total number of votes. A total of 37 papers in the list of "100 essential papers" were published >50 years ago, and 63 papers were published since 1973. Conclusions: This list of essential studies will provide a perspective on contemporary studies, the "giant's shoulders" to enable young scholars to "see further" or to understand where they have "come from." This compilation is also meant to impress on students that, given the (lack of) technology available in the past, some of the early science required enormous intuitive leaps on the part of historical scientists. [ABSTRACT FROM AUTHOR]

The notable increase in retraction papers has attracted considerable attention from diverse stakeholders. Various sources are now offering information related to research integrity, including concerns voiced on social media, disclosed lists of paper mills, and retraction notices accessible through journal websites. However, despite the availability of such resources, there remains a lack of a unified platform to consolidate this information, thereby hindering efficient searching and cross-referencing. Thus, it is imperative to develop a comprehensive platform for retracted papers and related concerns. This article aims to introduce "Amend," a platform designed to integrate information on research integrity from diverse sources. The Amend platform consolidates concerns and lists of problematic articles sourced from social media platforms (e.g., PubPeer, For Better Science), retraction notices from journal websites, and citation databases (e.g., Web of Science, CrossRef). Moreover, Amend includes investigation and punishment announcements released by administrative agencies (e.g., NSFC, MOE, MOST, CAS). Each related paper is marked and can be traced back to its information source via a provided link. Furthermore, the Amend database incorporates various attributes of retracted articles, including citation topics, funding details, open access status, and more. The reasons for retraction are identified and classified as either academic misconduct or honest errors, with detailed subcategories provided for further clarity. Within the Amend platform, a total of 32,515 retracted papers indexed in SCI, SSCI, and ESCI between 1980 and 2023 were identified. Of these, 26,620 (81.87%) were associated with academic misconduct. The retraction rate stands at 6.64 per 10,000 articles. Notably, the retraction rate for non-gold open access articles significantly differs from that for gold open access articles, with this disparity progressively widening over the years. Furthermore, the reasons for retractions have shifted from traditional individual behaviors like falsification, fabrication, plagiarism, and duplication to more organized large-scale fraudulent practices, including Paper Mills, Fake Peer-review, and Artificial Intelligence Generated Content (AIGC). The Amend platform may not fully capture all retracted and concerning papers, thereby impacting its comprehensiveness. Additionally, inaccuracies in retraction notices may lead to errors in tagged reasons. Amend provides an integrated platform for stakeholders to enhance monitoring, analysis, and research on academic misconduct issues. Ultimately, the Amend database can contribute to upholding scientific integrity. This study introduces a globally integrated platform for retracted and concerning papers, along with a preliminary analysis of the evolutionary trends in retracted papers. [ABSTRACT FROM AUTHOR]

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This article provides a scoping review of 25 years of research on the notion of cognitive authority (CA), examining its conceptualization and empirical examination. The review follows the PRISMA statement and its extension for scoping reviews. Peer‐reviewed journal articles on CA were identified through database searching with the specific search term “cognitive authorit*” in the title or abstract and covering work published in 2022 or earlier. In total, 235 unique references were identified, and their abstracts and then selected full texts were screened according to predetermined exclusion criteria. In total, 40 articles were included in the review, extracted, and analyzed with qualitative content analysis focusing on the conceptualization of CA, the methodological approach taken to examine it, and the different spheres of knowledge and levels of activity the research addressed. Based on this analysis, four parallel lines of research were identified including studies conceptualizing CA: (1) as an indicator of information source quality, (2) as discursively constructed, (3) as situated in social mechanisms and settings, and (4) as institutional legitimacy of science and professions. This body of research has extended Wilson's (1983; Second‐hand knowledge: An inquiry into cognitive authority. Greenwood Press) original work contributing to our understanding of CA at individual, communal, and societal levels. [ABSTRACT FROM AUTHOR]

Big data refers to extremely large data generated at high volume, velocity, variety, and veracity. The nurse scientist is uniquely positioned to leverage big data to suggest novel hypotheses on patient care and the healthcare system. The purpose of this paper is to provide an introductory guide to understanding the use and capability of big data for nurse scientists. Herein, we discuss the practical, ethical, social, and educational implications of using big data in nursing research. Some practical challenges with the use of big data include data accessibility, data quality, missing data, variable data standards, fragmentation of health data, and software considerations. Opposing ethical positions arise with the use of big data, and arguments for and against the use of big data are underpinned by concerns about confidentiality, anonymity, and autonomy. The use of big data has health equity dimensions and addressing equity in data is an ethical imperative. There is a need to incorporate competencies needed to leverage big data for nursing research into advanced nursing educational curricula. Nursing science has a great opportunity to evolve and embrace the potential of big data. Nurse scientists should not be spectators but collaborators and drivers of policy change to better leverage and harness the potential of big data. [ABSTRACT FROM AUTHOR]

Value co‐creation as a research topic has been a critical proposition of interest to a wide range of disciplines. In recent years, the field of cultural heritage has also developed a range of information practices to promote different forms of value co‐creation. While the body of literature has begun to accumulate, we still lack a comprehensive understanding of conceptual foundations and how value co‐creation is implemented in cultural heritage information practices. This paper conducted a hermeneutic literature review to understand and conceptualize the core aspects of value co‐creation in various cultural heritage information works. In particular, this paper provides a research mapping of the genres of co‐creation in cultural heritage information practices, the actors, and the roles played by the stakeholders. Further, this review provides an overview of the dominant value co‐creation models in the cultural heritage field. It distills the drivers of value co‐creation and the core value consequences that arise from a process perspective. Finally, this paper puts forward a thematic, theoretical, and methodological agenda for future work based on these findings. The review contributes to the literature by proposing an integrated conceptual framework that summarizes the core elements of value co‐creation in cultural heritage information practices. The framework also serves as a call for action, providing a general understanding of the conceptual foundation for future research. [ABSTRACT FROM AUTHOR]

Open data as an integral part of the open science movement enhances the openness and sharing of scientific datasets. Nevertheless, the normative utilization of data journals, data papers, scientific datasets, and data citations necessitates further research. This study aims to investigate the citation practices associated with data papers and to explore the role of data papers in disseminating scientific datasets. Dataset accession numbers from NCBI databases were employed to analyze the prevalence of data citations for data papers from PubMed Central. A dataset citation practice identification rule was subsequently established. The findings indicate a consistent growth in the number of biomedical data journals published in recent years, with data papers gaining attention and recognition as both publications and data sources. Although the use of data papers as citation sources for data remains relatively rare, there has been a steady increase in data paper citations for data utilization through formal data citations. Furthermore, the increasing proportion of datasets reported in data papers that are employed for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research. [ABSTRACT FROM AUTHOR]

Reviews have long been recognized as among the most important forms of scientific communication. The rapid growth of the primary literature has further increased the need for reviews to distill and interpret the literature. This review on Reviews and Reviewing: Approaches to Research Synthesis encompasses the evolution of the review literature, taxonomy of review literature, uses and users of reviews, the process of preparing reviews, assessment of review quality and impact, the impact of information technology on the preparation of reviews, and research opportunities for information science related to reviews and reviewing. In addition to providing a synthesis of prior research, this review seeks to identify gaps in the published research and to suggest possible future research directions. [ABSTRACT FROM AUTHOR]

This Position Paper from the Academy of Nutrition Sciences is the third in a series which describe the nature of the scientific evidence and frameworks that underpin nutrition recommendations for health. This paper focuses on evidence which guides the application of dietary recommendations for individuals. In some situations, modified nutrient intake becomes essential to prevent deficiency, optimise development and health, or manage symptoms and disease progression. Disease and its treatment can also affect taste, appetite and ability to access and prepare foods, with associated financial impacts. Therefore, the practice of nutrition and dietetics must integrate and apply the sciences of food, nutrition, biology, physiology, behaviour, management, communication and society to achieve and maintain human health. Thus, there is huge complexity in delivering evidence-based nutrition interventions to individuals. This paper examines available frameworks for appraising the quality and certainty of nutrition research evidence, the development nutrition practice guidelines to support evidence implementation in practice and the influence of other sources of nutrition information and misinformation. The paper also considers major challenges in applying research evidence to an individual and suggests consensus recommendations to begin to address these challenges in the future. Our recommendations target three groups; those who deliver nutrition interventions to individuals, those funding, commissioning or undertaking research aimed at delivering evidence-based nutrition practice, and those disseminating nutritional information to individuals. [ABSTRACT FROM AUTHOR]

The article focuses on the highlights from the 2024 ANZCA Annual Scientific Meeting, showcasing abstracts from the Faculty of Pain Medicine's Best Free Paper Award session, including the advancements in chronic pain management, the effectiveness of cognitive behavioral techniques.

Plain abdominal radiographs and gastrointestinal contrast studies remain the first line of investigation for the evaluation of several conditions due to their easy availability and ease of use in pediatric patients. A systematic approach to evaluating the plain radiograph for pediatric abdomen can lead the radiologist to a relevant differential diagnosis in most cases. In other cases, it leads the radiologist to the next line of investigation. The plain radiograph of the abdomen is requested for several conditions ranging from abdominal pain, vomiting, failure to pass meconium, abdominal distension, perforation, mass or for suspected obstruction. The radiation dose involved in abdominal radiography, although significant, the diagnostic information provided outweighs the risk. Dose reduction techniques should be employed to reduce the radiation dose to infants and children. Spectrum of atresias and stenosis from the esophagus up to the rectum, Hirschsprung disease, small left colon syndrome, and anorectal malformations can be identified with a detailed and systematic contrast study. They act as an adjunct in the diagnosis of conditions such as intussusception and hypertrophic pyloric stenosis. Inflammatory conditions such as acute appendicitis, necrotizing enterocolitis, and acute conditions such as pneumoperitoneum are also well appreciated on plain abdominal radiographs. [ABSTRACT FROM AUTHOR]

Objectives: Information professionals have supported medical providers, administrators and decision-makers, and guideline creators in the COVID-19 response. Searching COVID-19 literature presented new challenges, including the volume and heterogeneity of literature and the proliferation of new information sources, and exposed existing issues in metadata and publishing. An expert panel developed best practices, including recommendations, elaborations, and examples, for searching during public health emergencies. Methods: Project directors and advisors developed core elements from experience and literature. Experts, identified by affiliation with evidence synthesis groups, COVID-19 search experience, and nomination, responded to an online survey to reach consensus on core elements. Expert participants provided written responses to guiding questions. A synthesis of responses provided the foundation for focus group discussions. A writing group then drafted the best practices into a statement. Experts reviewed the statement prior to dissemination. Results: Twelve information professionals contributed to best practice recommendations on six elements: core resources, search strategies, publication types, transparency and reproducibility, collaboration, and conducting research. Underlying principles across recommendations include timeliness, openness, balance, preparedness, and responsiveness. Conclusions: The authors and experts anticipate the recommendations for searching for evidence during public health emergencies will help information specialists, librarians, evidence synthesis groups, researchers, and decision-makers respond to future public health emergencies, including but not limited to disease outbreaks. The recommendations complement existing guidance by addressing concerns specific to emergency response. The statement is intended as a living document. Future revisions should solicit input from a broader community and reflect conclusions of meta-research on COVID-19 and health emergencies. [ABSTRACT FROM AUTHOR]

Editors rely on peer reviewers' comments and insight as they make decisions about submitted manuscripts. This article describes what reviewers need to consider when accepting a peer review assignment and the essential elements they should include in their peer review. What reviewers need to consider when accepting a peer review assignment—and the essential elements they should include in their review. [ABSTRACT FROM AUTHOR]

Healthcare policies promote technology use as a means to modernise healthcare and support seamless, person-centred care. However, despite information technology (IT) use being common practice in clinical settings, its use in patients' homes is still developing. This study explored patients' perspectives on the use of IT and electronic health records (EHR) in their home environment. Semi structured interviews were conducted with housebound patients who received regular care from the district nursing team, and thematic data analysis was undertaken. Participants reported variable knowledge and experiences with mobile working and EHR. Most were positive and identified clear benefits for clinicians. However, few participants reported benefits to themselves. Contrary to popular belief, IT use is expected by older patients and, while barriers were identified, the overall opinion was positive. A digital divide was apparent, with some at risk of being disadvantaged by the increasing use of technology. [ABSTRACT FROM AUTHOR]

A review of several articles on topics like spear tackler's spine, risk factors for shoulder and elbow injuries in adolescent baseball pitchers, and the correlation of meniscal and articular cartilage injuries in children and adolescents is presented.

The article provides a preview of forthcoming papers accepted for publication in the Health Information and Libraries Journal. Topics include the effectiveness of citation searching in urgent and emergency care configuration studies, an alternative screening approach for Google Search in systematic reviews, and the analysis of health information seeking behavior among adolescents.

This study aims to determine the creative thinking patterns of students contained in scientific papers. The method used is a qualitative research method. Sources of data in research are students and documents in the form of papers. There are three data collection techniques, namely (1) reading papers, (2) interviews, and (3) observation. The results of this study show a pattern of lateral thinking that appears in several developments of ideas. Then, there are still traditional thinking patterns. Factors that cause traditional thinking are (1) experience, (2) sources of information, (3) lack of confidence, and (4) willingness to learn. [ABSTRACT FROM AUTHOR]

The article reports on the awarding of the SOFW Journal Best Paper Award 2022. The winners were honored during the SEPAWA® CONGRESS 2022. The first place went to the article "Nano or Non-Nano: The Central Aspect of the Measurement Method," which deals with the measurement of nanomaterials in cosmetic products. The second place was awarded to the article "Optimizing Your Resources for Market Information and Product Development," which provides an online database containing detailed information on household care products. The third place was awarded to the article "A Benchmark-Based Eco-Score for Sunscreen to Communicate Environmental Compatibility to the Consumer," which has developed an information system and logo for assessing the environmental compatibility of sunscreens. [Extracted from the article]

The article presents the discussion on following papers being accepted for publication in a future issue of the Health Information and Libraries Journal including survey of US academic libraries highlighting the COVID-19 experience.

The present paper makes a systematic review of 131 articles on research productivity basing upon a model developed by Denyer and Tranfield. The current review paper analyzed the quantitative and qualitative dimensions of the sample literature in the field of research productivity. The quantitative analysis incorporates the chronological distribution of articles, keyword wise distribution, form wise distribution, discipline wise distribution, publisher wise distribution, data sources used in the articles, most prolific journals of the publications and qualitative dimensions studied are top-cited articles and all the metrices used in these articles. The paper is based upon literature retrieved from Scopus bibliographic database and other online databases like Emerald, Taylor & Francis, Google Scholar, JSTOR, ProQuest, and EBSCO for full-text articles. It was revealed that there is significant growth in the number of articles during the fourth decade (2011–2020) whereas the highest numbers of citations (1530) have been received during the third decade from 2001 to 2010. Journal articles appeared to be the predominant source of information. A wide range of metrices found to be used in the sample literature to analyze the research productivity namely basic metrics, metrics dealing with growth, collaboration and metrics at institute level and author level metrics. It will serve as a reference tool to the scholars and practitioners in the field who will be acquainted with the publications on research productivity as well as various metrices, laws of bibliometrics, statistical tools, used in the articles. [ABSTRACT FROM AUTHOR]

The bibliography lists periodical articles, books, parts of collective works, conference proceedings, reviews, as well as theatre programs about Vincenzo Bellini, his operas and their context, published up through January 2024, including also writings that were not cited in the previous issues. The list also mentions conference papers, although does not include printed music, discography, or videography. The sources of information were digital repositories and databases, as well as printed bibliographies and private communications, which are still crucial in tracking down works of limited visibility. It also shows an – improbable – use of AI as a tool for bibliographical research. [ABSTRACT FROM AUTHOR]

With the exponential rise in scientific research as a result of the spread of information technology, there is an emerging need to process and systemize the information contained in such publications in both national and international settings. The academic journals, in paper as well as electronic forms, are the most used channels of academic communication among researchers, due to the confidence that this information resource enjoys and the standards it applies. In addition, new ideas and developments appear in academic journals long before the books refer to them. Articles, topics, and issues of concern are published in them that do not appear in book form. In this background, this study investigates the research trends in 179 ESL/EFL published studies in ELT Journal and TESOL Quarterly, journals that are acclaimed universally as the setters of research benchmarks. Results show that the focus subjects in these classify into subcategories (trends) which include Global English and Lingua Franca, learner’s issues, teacher’s issues, cultural perspectives, assessment issues, and ESL research methodology and Multimedia & ICT in Language Education. Noticeably, researchers preferred to qualitatively study the Teaching Practices and Methods (f=43) and Global English and Lingua Franca (f=39). However, gaps are perceptible in the ongoing trends to fill which the study makes certain recommendations in its conclusion. [ABSTRACT FROM AUTHOR]

Big data analytics in medicine is driving significant change, as it offers vital information for improving functions, developing cutting-edge solutions and overcoming inefficiencies. With the right archiving and analysis tools, all players in the healthcare system, from hospitals to patients and from medical personnel to the pharmaceutical industry, can yield numerous benefits. Therefore, to analyze and interpret these analytics effectively, so that they can be useful for the advancement of scientific knowledge, we require information sharing, specific skills, training, integration between all system players, unique infrastructures and security. All these characteristics will make it possible to establish and harmonize real big data biobanks, for which it will be appropriate to consider new forms of governance compared to those traditionally conceived for large-sample biobanks. [ABSTRACT FROM AUTHOR]

Background: Knowledge of changes in the domains of physical activity (PA) during the transition period from primary to secondary education and the factors associated with these changes, are prerequisites for the design of effective PA promotion strategies. Therefore, the first aim of this study was to systematically review changes in general, leisure-time, school, transport, work, and home PA across the transition from primary to secondary education. The second aim was to systematically review the individual, social, and physical environmental factors that were associated with these changes. Methods: Records published up until September 2023 were retrieved from five electronic databases. We included longitudinal and cross-sectional studies that investigated general or domain-specific PA from 2 years before to 2 years after the transition from primary to secondary education. Information on source, study characteristics, sample characteristics, PA, and factors were extracted from the papers included. We reported the direction of change in general and domain-specific PA and the direction of association of the factors with change in general and domain-specific PA. Results: Forty-eight papers were included in the study. The evidence on changes in PA and associated factors was greatest for general PA. A limited number of the studies investigated the separate domains of leisure-time, school, and transport. Most studies on general and school PA reported a decline in PA, but there were no consistent results for the domains of leisure-time and transport. With respect to the associated factors, evidence was predominantly found for individual factors and to a lesser degree for physical environmental and social environmental factors. None of the factors were consistently associated with changes in general or domain-specific PA during the school transition. Conclusions: For the design of targeted PA promotion strategies, further studies are warranted to explore changes in the specific domains of PA across the transition from primary to secondary education, especially in the domains of leisure-time, transport, home, and work PA. In addition, the interactions between factors at different socioecological levels to influence changes in PA need to be addressed more in the future. Trial registration: PROSPERO CRD42020190204. [ABSTRACT FROM AUTHOR]

Blockchain-based applications are becoming more and more widespread in business operations. In view of the shortcomings of existing enterprise blockchain evaluation methods, this paper proposes a multi-source heterogeneous blockchain data quality evaluation model for enterprise business activities, so as to achieve efficient evaluation of business activity information consistency, credibility and value. This paper proposes a multi-source heterogeneous blockchain data quality assessment method for enterprise business activities, aiming at the problems that most of the data in enterprise business activities come from different data sources, information representation is inconsistent, information ambiguity between the same block chain is serious, and it is difficult to evaluate the consistency, credibility and value of information. The method firstly proposes an entity information representation method based on the Representation learning for fusing entity category information (CEKGRL) model, which introduces the triad structure of related entities in blockchain, then associates them with enterprise business activity categories, and carries out similarity calculation through contextual information to achieve blockchain information consistency assessment. After that, a trustworthiness characterization method is proposed based on information sources, information comments, and information contents, to obtain the trustworthiness assessment of the business. Finally, based on the information trustworthiness characterization, a value assessment method is introduced to assess the total value of business activity information in the blockchain, and a blockchain quality assessment model is constructed. The experimental results show that the proposed model has great advantages over existing methods in assessing inter-block consistency, intra-block activity information trustworthiness and the value of blockchain. [ABSTRACT FROM AUTHOR]

The article presents the discussion on accepting the publication in a future issue of the Health Information and Libraries Journal. Topics include survey of health information seeking by cancer patients indicating some problems over medical explanations and terminology; and development of a validated search filter for Ovid Embase for degenerative cervical myelopathy.

Background: Medical text, as part of an electronic health record, is an essential information source in healthcare. Although natural language processing (NLP) techniques for medical text are developing fast, successful transfer into clinical practice has been rare. Especially the hospital domain offers great potential while facing several challenges including many documents per patient, multiple departments and complex interrelated processes. Methods: In this work, we survey relevant literature to identify and classify approaches which exploit NLP in the clinical context. Our contribution involves a systematic mapping of related research onto a prototypical patient journey in the hospital, along which medical documents are created, processed and consumed by hospital staff and patients themselves. Specifically, we reviewed which dataset types, dataset languages, model architectures and tasks are researched in current clinical NLP research. Additionally, we extract and analyze major obstacles during development and implementation. We discuss options to address them and argue for a focus on bias mitigation and model explainability. Results: While a patient's hospital journey produces a significant amount of structured and unstructured documents, certain steps and documents receive more research attention than others. Diagnosis, Admission and Discharge are clinical patient steps that are researched often across the surveyed paper. In contrast, our findings reveal significant under-researched areas such as Treatment, Billing, After Care, and Smart Home. Leveraging NLP in these stages can greatly enhance clinical decision-making and patient outcomes. Additionally, clinical NLP models are mostly based on radiology reports, discharge letters and admission notes, even though we have shown that many other documents are produced throughout the patient journey. There is a significant opportunity in analyzing a wider range of medical documents produced throughout the patient journey to improve the applicability and impact of NLP in healthcare. Conclusions: Our findings suggest that there is a significant opportunity to leverage NLP approaches to advance clinical decision-making systems, as there remains a considerable understudied potential for the analysis of patient journey data. [ABSTRACT FROM AUTHOR]

This paper focuses on the problem of information source identification in online social networks (OSNs). By analyzing the research situation of source identification problems and challenges (such as the randomness of the information dissemination process and complexity of the underlying network topology), this paper studies the problem of multiple source diffusion and proposes a source identification algorithm based on multi-attribute topological clustering (MaTC). The basic idea of the algorithm is to decompose the multi-source problems into a series of single-source problems by using clustering partitioning to improve accuracy and efficiency. Firstly, it estimates the number of source nodes, which is also the number of network partitions, then characterizes the combination of multiple attribute structures as an attribute index of topological clustering, performs an analysis of the distribution of real source nodes in each partition to evaluate the accuracy of the clustering partition, and finally uses Jordan centrality within each partition for single-source identification. Through comparative experiments, it is verified that the proposed MaTC algorithm is superior to the comparison algorithms in evaluating indicators. [ABSTRACT FROM AUTHOR]

Access to essential information resources through mobile devices has become a routine activity. From smart portable notebooks to tablets, smartphones to embedded devices, mobile databases are emerging as a key factor in the mobile computing ecosystem. These devices are handy and user-friendly; users can access information regardless of their geographic location, anytime, utilizing wireless and cellular communications. In addition to the convenience they offer, modern mobile systems exhibit the potential to promote the green computing paradigm and by extension a safer environment for humanity to thrive. The paper presents a concise but concrete review of mobile database systems in the green mobile computing ecosystem. The data source comprises 343 papers from notable repositories: IEEE Xplore, ACM Digital library, Springer and Science Direct. 43 papers were selected for analysis based on meeting the two preset suitability criteria: mobile databases and green computing. The study shows that there is not much literature on mobile database systems vis-à-vis the green computing ecosystem, hence, a promising research niche. The paper concludes that mobile databases are evolving rapidly and there is every possibility that their progress towards maturity could further reduce the energy consumption of mobile devices whose fundamental data store relies on these mobile databases. [ABSTRACT FROM AUTHOR]

The article offers a look into the continuing evolution of the journal. Several undergoing changes to the journal to improve reader experience include shift in how information is distributed to include multiple formats, blending of online and print publications, update editorial guidelines and expectations for how papers are to be submitted, and reduced time to complete reviews of papers submitted.

The article presents the discussion on papers being accepted in the publication of the Health Information and Libraries Journal including qualitative study of the health Information seeking behaviour of adolescent girls in Iran.

It is unclear whether doctoral nursing students are using nursing theory to guide their research. This descriptive, exploratory study involved a review of 747 doctoral papers to determine whether nursing students are using nursing or non-nursing theory to guide their research. The findings revealed that although 86.9% of doctoral students used theory, just 31.7% used nursing-specific theory to guide their dissertation study or capstone project. The disproportionate relationship between the use of nursing and non-nursing theory at the doctoral level poses both challenges and opportunities. [ABSTRACT FROM AUTHOR]

In recent years, the exploration of knowledge in large-scale human mobility has gained significant attention. In order to achieve a semantic understanding of human behavior and uncover patterns in large-scale human mobility, Named Entity Recognition (NER) is a crucial technology. The rapid advancements in IoT and CPS technologies have led to the collection of massive human mobility data from various sources. Therefore, there's a need for Cross-domain NER which can transfer entity information from the source domain to automatically identify and classify entities in different target domain texts. In the situation of the data-poor, how could we transfer human mobility knowledge over time and space is particularly significant, therefore this paper proposes an Adaptive Text Sequence Enhancement Module (at-SAM) to help the model enhance the association between entities in sentences in the data-poor target domains. This paper also proposes a Predicted Label-Guided Dual Sequence Aware Information Module (Dual-SAM) to improve the transferability of label information. Experiments were conducted in domains that contain hidden knowledge about human mobility, the results show that this method can transfer task knowledge between multiple different domains in the data-poor scenarios and achieve SOTA performance. [ABSTRACT FROM AUTHOR]