Full-text Content Research Articles

ANALYSING NEWS POLARISATION: FROM PRODUCTION TO ENGAGEMENT AND BEYOND

Political polarisation – at the level of individual issues or broader ideologies, and expressed through differences of opinion on policies, divergent affective attachments, contrary interpretations of available information, or distinct patterns of interaction with other partisans – is necessarily always closely related to the information that individuals and groups engage with as they form and reinforce their own opinions about a given issue or topic, and contest the views of others. News in all its forms, from legacy to emerging, and mainstream to fringe media, continues to play a particularly important role in such information diets, but news coverage can itself be polarised and polarising. This panel addresses polarisation in and by the news through a series of papers that examine the various stages of the news production and engagement process. Drawing on innovative methods and novel datasets, these five papers offer new perspectives on the patterns and dynamics that affect news quality, news distribution, news engagement, and news fact-checking in digital and social media environments. In combination, they offer a new and comprehensive overview of how we might further investigate news polarisation in contemporary contexts. Paper 1 assesses polarisation in news coverage. Centred on the issue of climate change, it investigates patterns of news coverage across the media landscape in Australia – a country which has been particularly severely affected by extreme climate events in recent years. The paper highlights the challenges in accessing full-text news content at scale, and utilises a novel combination of manual and computational content coding techniques to investigate the patterns of news polarisation across four dimensions. Paper 2 investigates what sources of news are frequently recommended to users of prominent search engine Google News. Drawing on a long-term data donation project in Australia, the paper reviews the range of sources recommended for a variety of political and controversial search queries, and assesses the breadth of the political spectrum that these prominent recommendations represent. It also examines whether such patterns differ across individual queries or broader topic categories. Paper 3 shifts our attention to the sharing of news content on social media platforms. Drawing on long-term, large-scale datasets from Facebook and Twitter, it analyses the sharing of links to Australian news sources during 2022, and thereby reveals patterns of interactional and interpretive polarisation. These may be related to the political alignment of users and outlets, but also to news quality and other factors. Paper 4 takes a network approach to the study of news sharing on Twitter in Germany. Assessing the topical content of links to German news shared during one month in 2023, and the political affinities of the users sharing these links, the study finds marked differences between the sharing practices and patterns of left-leaning, conservative, and far-right users, as well as between sharing practices on different topics. Finally, Paper 5 closes the loop by examining the role perceptions of political fact-checkers, and their potential to contribute polarisation or depolarisation. Drawing on a series of interviews with staff in Australian fact-checking organisations, it provides a deep insight into their self-understanding, especially with respect to the extent and limitations of their impact on polarised debates in society. In combination, then, these five papers address questions of news polarisation throughout the stages of the journalistic process from news production to distribution and engagement all the way to the critical scrutiny of political statements reported in the news. Overall, they make substantial new conceptual, methodological, and empirical contributions to the study of news polarisation. Extended abstracts for all five papers are included in the submission.

A holistic review of customer experience research: topic modelling using BERTopic

PurposeThis study consolidates the current state of knowledge in customer experience (CX) research by examining literature published over last 20 years (2003–2022). The purpose is to create a holistic snapshot through synthesis of extant CX research; and thereafter, leverage the snapshot to generate directions for future inquiry.Design/methodology/approachThe study uses systematic literature review (SLR) using SPAR-4-SLR protocol to generate a set of 277 articles. We follow it up with scientometric analysis techniques of bibliographic coupling and betweenness centrality measurement. Finally, to extract topics from the full-text content of sampled articles, we carry out topic modelling using BERTopic.FindingsThe study unearths following insights: (1) the predominant underlying topics in extant CX research are: service experience, store brand marketing, mall and online shopping, fun and luxury marketing, brand equity and loyalty artificial intelligence (AI) and machine learning (ML) and augmented reality (AR) and virtual reality (VR); (2) bibliographic coupling suggests existence of six clusters in CX research. The study also showcases the nucleus of CX research, flagship research, major publication outlets and representative studies for each extracted topic.Research limitations/implicationsThe paper introduces BERTopic to marketing scholars as a novel method of executing topic modelling and thereby, unearthing latent insights.Originality/valueThe study expands the body of knowledge on CX by applying three complementary analytical approaches: SLR, scientometric analysis and topic modelling using BERTopic.

Literary evidence of the impact of nonbiological risk factors on CRMS/CFSPID: A scoping review.

Newborn screening for cystic fibrosis (CF) occasionally results in an inconclusive diagnosis of this disease, and these individuals are designated as CFTR-related metabolic syndrome (CRMS) in the United States, and CF Screen Positive Inconclusive Diagnosis (CFSPID) in other countries. Some of these asymptomatic individuals will progress to symptomatic disease, but risk factors associated with disease progression are not well understood. This scoping review was conducted to comprehensively map nonbiological risk factors in the CRMS/CFSPID literature and to identify understudied topics. Six electronic databases were systematically searched, resulting in 2951 studies. Forty nine eligible works were identified as including information on nonbiological risk factors related to CRMS/CFPSID. Eligible studies were published from 2002 to 2024, most prevalently in the United States (36.7%), and as quantitative data (81.6%). Of the 49 eligible works, 23 articles contributed only intellectual conjecture, while 26 articles contained original data, which underwent full-text qualitative content analysis. Key themes identified in descending order of content coverage included Psychological Impact, Management Care, Newborn Screening and Diagnostics, Communicating Diagnosis, and Lifestyle and External Exposures. This scoping review identified that while nonbiological risk factors are being studied in the CRMS/CFSPID literature, there was nearly equal distribution of works gathering original data to those citing previously published information. These findings indicate a critical need for original data collection on these risk factors, particularly on understudied topics identified herein.

The potency and safety of platelet-rich plasma and its therapy protocol for erectile dysfunction: A systematic review and meta-analysis of randomized controlled trials

Abstract* Background Platelet-rich plasma (PRP) is a novel treatment for erectile dysfunction (ED) that is considered to be a cost-effective option. It has demonstrated positive outcomes and minimal adverse effects. By injecting PRP into the intracavernous tissue, it has the potential to promote angiogenesis and neuroregeneration, leading to a potential permanent improvement in erectile performance. The potency and safety as well as the variety of PRP administration protocols in the treatment of ED are the objectives of this paper. Method Using certain terms, a systematic search was done on three different databases: Science Directs, Scielo, and PubMed. Papers about PRP therapy for EDs within the last decade, be randomized controlled trials (RCTs), and be original studies with freely available full-text content were included in this study. This article omitted letters to the editor, reviews, and editorials regarding PRP and ED. Results Three RCT were included in this studies. The improvement is observed at one month, three months, and six months after the treatment, compared to the baseline. PRP group participants met the Minimal Clinically Important Difference (MCID) in the International Index of Erectile Function-Erectile Function (IIEF-EF) at a higher percentage than those in the placebo group at both one month and six months. Injection of PRP leads to a superior enhancement in the IIEF-EF score, compared to a placebo, in patients suffering from ED at one month, three months, six months. Conclusion PRP is a proven therapeutic technique that has been shown to greatly enhance ED. Yet, to establish uniform guidelines for PRP in treating erectile dysfunction, further investigation into PRP, particularly in protocol development, is imperative.

Forecasting Inflation Using Economic Narratives

We use economic narratives to forecast inflation with a large news corpus and machine learning algorithms. The economic narratives from the full text content of over 880,000 Wall Street Journal articles are decomposed into multiple time series representing interpretable news topics, which are then used to predict inflation. The results indicate that narrative-based forecasts are more accurate than the benchmarks, especially during recession periods. Narrative-based forecasts perform better in long-run forecasting and provide incremental predictive information even after controlling macroeconomic big data. In particular, information about inflation expectations and prices of specific goods embedded in narratives contributes to their predictive power. Overall, we provide a novel representation of economic narratives and document the important role of economic narratives in inflation forecasting.

Using full-text content to characterize and identify best seller books: A study of early 20th-century literature.

Artistic pieces can be studied from several perspectives, one example being their reception among readers over time. In the present work, we approach this interesting topic from the standpoint of literary works, particularly assessing the task of predicting whether a book will become a best seller. Unlike previous approaches, we focused on the full content of books and considered visualization and classification tasks. We employed visualization for the preliminary exploration of the data structure and properties, involving SemAxis and linear discriminant analyses. To obtain quantitative and more objective results, we employed various classifiers. Such approaches were used along with a dataset containing (i) books published from 1895 to 1923 and consecrated as best sellers by the Publishers Weekly Bestseller Lists and (ii) literary works published in the same period but not being mentioned in that list. Our comparison of methods revealed that the best-achieved result-combining a bag-of-words representation with a logistic regression classifier-led to an average accuracy of 0.75 both for the leave-one-out and 10-fold cross-validations. Such an outcome enhances the difficulty in predicting the success of books with high accuracy, even using the full content of the texts. Nevertheless, our findings provide insights into the factors leading to the relative success of a literary work.

Exploring academic influence of algorithms by co-occurrence network based on full-text of academic papers

PurposeIn the era of artificial intelligence (AI), algorithms have gained unprecedented importance. Scientific studies have shown that algorithms are frequently mentioned in papers, making mention frequency a classical indicator of their popularity and influence. However, contemporary methods for evaluating influence tend to focus solely on individual algorithms, disregarding the collective impact resulting from the interconnectedness of these algorithms, which can provide a new way to reveal their roles and importance within algorithm clusters. This paper aims to build the co-occurrence network of algorithms in the natural language processing field based on the full-text content of academic papers and analyze the academic influence of algorithms in the group based on the features of the network.Design/methodology/approachWe use deep learning models to extract algorithm entities from articles and construct the whole, cumulative and annual co-occurrence networks. We first analyze the characteristics of algorithm networks and then use various centrality metrics to obtain the score and ranking of group influence for each algorithm in the whole domain and each year. Finally, we analyze the influence evolution of different representative algorithms.FindingsThe results indicate that algorithm networks also have the characteristics of complex networks, with tight connections between nodes developing over approximately four decades. For different algorithms, algorithms that are classic, high-performing and appear at the junctions of different eras can possess high popularity, control, central position and balanced influence in the network. As an algorithm gradually diminishes its sway within the group, it typically loses its core position first, followed by a dwindling association with other algorithms.Originality/valueTo the best of the authors’ knowledge, this paper is the first large-scale analysis of algorithm networks. The extensive temporal coverage, spanning over four decades of academic publications, ensures the depth and integrity of the network. Our results serve as a cornerstone for constructing multifaceted networks interlinking algorithms, scholars and tasks, facilitating future exploration of their scientific roles and semantic relations.

OpenBiodiv for Users: Applications and Approaches to Explore a Biodiversity Knowledge Graph

OpenBiodiv is a biodiversity database—knowledge graph based on Resource Description Framework (RDF)—that contains information extracted from the scientific literature. It provides access to an ecosystem of tools and services, including a Linked Open Dataset, an ontology (OpenBiodiv-O) and а website (Dimitrova et al. 2021). Using the available data, OpenBiodiv discovers links between various biodiversity data types (e.g., taxon names, treatments, specimens, sequences, people and institutions), to answer a user’s questions about specific taxa, scientific articles, materials examined and others. The full-text XML content is converted into Linked Open Data from journals on the ARPHA Publishing Platform and treatments extracted by Plazi’s TreatmentBank (stored in the Biodiversity Literature Repository at Zenodo). The database is updated and indexed daily using a workflow based on the Apache Kafka event-streaming platform. The workflow was developed during the European Union-funded Biodiversity Community Integrated Knowledge Library (BiCIKL) project (Penev et al. 2022b). By 1 of August 2023, the graph consisted of 24,939 articles; 167,471 treatments; 130,359 authors; 736,809 taxon names; 129,257 sequences; 1,390 institutions and collections, 117,854 figures; 18,585 tables, and 90,008 materials examined sections. Each semantic statement (e.g., authors, articles, treatments, taxonomic names, localities) has its own globally unique, persistent and resolvable identifier (GUPRI). There are four ways a user can explore the data on OpenBiodiv: General search The search engine is accessible from the OpenBiodiv homepage. The user needs to type in a key term, (e.g., a taxonomic name, authority or an article title), and the system retrieves information about it. Errors caused by misspellings are avoided due to the Elasticsearch index. It can also determine the semantic type of the searched entity. Application Programing Interface (API) OpenBiodiv can be used through a RESTful API for programmatic access. The documentation of the API is described on Swagger. The API construction and functionalities follow the recommendations elaborated by the Technical Research Infrastructures forum of the BiCIKL project (Addink et al. 2023). User applications based on a query algorithm This function can be applied for any data class. The method uses the relationships between an element type (e.g., taxon name) and the type of the section, where it can be found. An application example is Literature exploration, designed to answer the question: Give me information about X mentioned within article section type Y. The results show the number of mentions of the entity (e.g., taxon name) in the section(s) of interest (e.g., Title, Abstract, Treatment). A click navigates the user to the place in the article that mentions the item (Fig. 1). SPARQL queries in a thematic context OpenBiodiv provides a SPARQL endpoint through the Ontotext GraphDB solution*1. Several sample SPARQL queries*2 are also available on the OpenBiodiv website.

Development of a mobile Web library application for an institutional repository and investigation of its influences on learning

PurposeThis study aims to examine the effects of the proposed mobile Web library application (MWLA) on the search experience and its impact on learners’ engagement, interaction and overall learning outcomes within an institutional repository. Furthermore, the study investigates learners’ acceptance of the MWLA system.Design/methodology/approachThe study suggests implementing an MWLA with Algolia’s search service to improve the institutional repository and enhance learners’ access to reliable information. It involved an experiment with 85 undergraduate students divided into experimental and control groups (CGs), where the experimental group (EG) used MWLA for search tasks, and the CG used the traditional library website. The study evaluated the acceptance and learning behaviours of the EG towards MWLA, considering factors such as usefulness, ease of use, mobility, accessibility, satisfaction and intention to use.FindingsThe findings of this study provide empirical evidence that the EG, which used the MWLA, demonstrated superior performance compared to the CG across all institutional repository collections, resulting in improved learning outcomes. Participants were highly satisfied with MWLA and found it user-friendly and beneficial for improving search skills. MWLA’s portability and accessibility motivated active learner engagement.Originality/valueThe powerful search bar of MWLA significantly enhanced learners’ search efficiency, resulting in more effective retrieval of relevant materials. Moreover, learners who actively engaged with previews and full-text content, using appropriate keywords and syntax, achieved higher scores and were more likely to access previews, abstracts and full texts of documents using the sorting-by-year or by-advisor feature.

Tale of Two Tools

Consistent delivery of full-text content has been a challenge for libraries since the development of online databases. Library systems have attempted to meet this challenge, but link resolvers and early direct linking tools often fell short of patron expectations. In the last several years, a new generation of direct linking tools has appeared, two of which will be discussed in this article: Third Iron’s LibKey Discovery and Quicklinks by Ex Libris, a Clarivate company. Figure 1 shows the “Download PDF” link added by LibKey. Figure 2 shows the “Get PDF” link provided by Quicklinks. The way we configured our discovery interface, a resource cannot receive both the LibKey and Quicklinks PDF links. These two direct linking tools were chosen because they were both relatively new to the market in April 2021 when this analysis took place and they can both be integrated into Primo VE, the library discovery system of choice at the authors’ home institutions of SUNY College of Optometry and Ferris State University. Through analysis of the frequency of direct links, link success rate, and number of clicks, this study may help determine which product is most likely to meet your patrons’ needs.

Clarifying Repositioning in a Pressure Injury Context: A Scoping Review

Repositioning immobilized individuals offloads pressure over the tissues and facilitates blood supply, preventing pressure injury. However, there is a gap in clarifying the practice of repositioning or standardizing the repositioning practice measurements. This scoping review aimed to clarify modes of assessing repositioning. PRISMA-ScR was used as a guideline to report the study, and The Joanna Briggs Institute Manual of Evidence Synthesis was used to conduct the scoping review. Manuscripts published between 2009 and 2021 were identified in the following databases: Cochrane Wounds Group Specialized Register, Ovid MEDLINE, EBSCO CINAHL, Clinical Key database, and Ovid MEDLINE (in-process & non-indexed citations, Jan 2009-Jan 2021), in addition to the reference sections of the potentially relevant studies. This review included English-language, interventional and non-interventional studies, department and healthcare facility reports with full-text content. This review excluded economic reviews, qualitative studies, systematic reviews, and studies that did not focus on the procedure being performed by nurses. The STROBE checklist and Downs and Black’s quality assessment process were applied to check the quality of the reported article. Twenty-four studies were analyzed, four randomized, five non-randomized, and 15 had cross-sectional designs. The most common mode for measuring repositioning compliance was a chart review, used in 11 studies, followed by digital observation used in five studies; four used observation, and four used self-administered questionnaires. No measurement tool could address all issues with the accuracy and dependability of measurements. The review considers the need for a new standardized repositioning measurement instrument.

Moving toward sustainable software citation practices to improve the quality of scientific research

Software is essential for scientific research and is applied in research methodology, data analysis, and knowledge dissemination. Scientists believe that software plays a crucial role in their research process, so it is necessary to recognize the contribution of software developers. This study aims to investigate the current situation of software citation in scientific research and explore possible solutions to improve its sustainability via full-text content analysis. There is a gap between the use and the citation of software in scientific publications, and the lack of information in software citations has been a source of both failure and improvement of software in scientific research. We found various deficiencies that hinder the durability of software citations and put forward some suggestions for their stability and development, such as designing software citation standards, promoting free open licensing of scientific software, and implementing strict peer review of software citations.

Similarity Calculation via Passage-Level Event Connection Graph

Recently, many information processing applications appear on the web on the demand of user requirement. Since text is one of the most popular data formats across the web, how to measure text similarity becomes the key challenge to many web applications. Web text is often used to record events, especially for news. One text often mentions multiple events, while only the core event decides its main topic. This core event should take the important position when measuring text similarity. For this reason, this paper constructs a passage-level event connection graph to model the relations among events mentioned in one text. This graph is composed of many subgraphs formed by triggers and arguments extracted sentence by sentence. The subgraphs are connected via the overlapping arguments. In term of centrality measurement, the core event can be revealed from the graph and utilized to measure text similarity. Moreover, two improvements based on vector tunning are provided to better model the relations among events. One is to find the triggers which are semantically similar. By linking them in the event connection graph, the graph can cover the relations among events more comprehensively. The other is to apply graph embedding to integrate the global information carried by the entire event connection graph into the core event to let text similarity be partially guided by the full-text content. As shown by experimental results, after measuring text similarity from a passage-level event representation perspective, our calculation acquires superior results than unsupervised methods and even comparable results with some supervised neuron-based methods. In addition, our calculation is unsupervised and can be applied in many domains free from the preparation of training data.

Briefs / Feuilletons

Briefs / Feuilletons Deborah Campana, Richard Griscom, Judy Pinnolis, and Sandi-Jo Malmon The Board of Directors of Répertoire International de Littérature Musicale (RILM) is delighted to announce that Tina Frühauf, current Deputy Executive Director of RILM, will become its next Executive Director effective 29 August 2022. She will be the fifth person to lead RILM, succeeding Barry S. Brook (1966–1989), Terrence E. Ford (1989–1991), Adam P. J. O'Connor (1991–1996), and Barbara Dobbs Mackenzie (1996–2022). Following an international search, the Board of Directors unanimously selected Dr. Frühauf as RILM's next Executive Director. 'Tina brings to the position a unique breadth of experience at RILM and in the academic community', said Dr. Mackenzie, RILM's current Executive Director and President of the Board of Directors. 'At RILM she has already worn many hats, all successfully, including as an editor, as head of marketing, and as licensor of full-text content for RILM Abstracts of Music Literature with Full Text and RILM Music Encyclopedias. Tina is also a widely published and active scholar and teacher. What impressed the Board most about Tina is her passion for RILM's global mission and her vision for the organisation and its role in music research of the 21st century'. 'I am thrilled and honored to serve as RILM's next Executive Director and, by extension, all researchers, educators, students, and librarians worldwide who seek to access music literature and scholarship in all its facets and contexts', says Dr. Frühauf. 'Barbara Dobbs Mackenzie created a stable and entrepreneurial work environment, and I am excited to head an organisation that is well prepared to continue its development. As a scholar, teacher, and editor, I have relied on RILM's research tools for over two decades and I strongly believe in their scope, which is driven by the global mission they represent. Expanding RILM's global network and strengthening the appreciation of bibliography and historiography as crucial pillars of solid academic work is at the forefront of RILM's future work. With this, I hope that RILM's resources remain indispensable sources of knowledge that support all those who are engaged in the study of music'. RILM's 2021 Board of Directors served as the search committee: Zdravko Blažeković (RILM), L. Charles Fink (RILM), Elizabeth Davis (Columbia University), Richard Freedman (Haverford College), Barbara Dobbs Mackenzie (RILM), Philippe Vendrix (CNRS), and Richard W. Young (Quarles & Brady, ret.). The committee benefited from the assistance of Mary Gail Biebel, succession consultant, and Sara McWilliams, executive search consultant. Répertoire International de Littérature Musicale (RILM), New York publishes a suite of online reference works for music research, including the German music encyclopedia Die Musik in Geschichte und Gegenwart (as MGG Online) and the lexicographic collection RILM Music Encyclopedias. Its well-known bibliographic database RILM Abstracts of Music Literature with Full Text has some 1.5 million records representing publications concerning all types of music, published in more than 170 languages, coming from some 150 countries, and includes several hundred journals in full text. RILM also published the Index to Printed Music, and the forthcoming online version of Dizionario enciclopedico universale della musica e dei musicisti (as DEUMM Online). RILM functions under the auspices of the International Association of Music Libraries, Archives and Documentation Centres; the International Association for the Study of [End Page 327] Popular Music; the International Musicological Society; the International Council for Traditional Music. RILM is housed at the Graduate Center of the City University of New York in New York City. Tina Frühauf has been a core member of the RILM staff since 2003, working in a number of capacities over the years. She is an active scholar and writer; the study of Jewish music in modernity has been Dr. Frühauf's primary research focus for two decades, culminating in monographs such as Orgel und Orgelmusik in deutsch-jüdischer Kultur and Transcending Dystopia: Music, Mobility, and the Jewish Community in Germany, 1945–1989. Her most recent scholarly work focuses on the historiography of music scholarship and migration, examining the mass dislocation of peoples in the twentieth century and the conditions of globalisation, genocide...

The pattern and use of Twitter among dental schools in Saudi Arabia.

ObjectiveTwitter as a social media platform has revolutionized the way we interact with others and receive information. The presence of dental schools in Twitter facilitates the engagement of students, educators, dental professionals, and the community. Given the explosive popularity of Twitter as a social media platform and its potential use in the areas of education and branding, the questions of why and how dental schools use these services warrant comprehensive research. Thus, the aim of this study was to analyze the pattern and use of Twitter as a social media platform for dental schools in Saudi Arabia.MethodsThe tweets were extracted within the timeframe from July 15, 2019, to July 15, 2020. The Twitter data collected included: full text content, the count of retweets, quotes, replies and likes. Extracted tweets were categorized into five main themes: news and announcement, dental professional communication, general communication, oral health education, and promoting participation. Tweets in each main theme were further categorized according to the dental schools’ academic roles namely; education, research and community service. In addition, tweets were classified according to originality of the tweet, language used, nature of the tweet and the use of hashtags and mentions. Descriptive analysis presented in the form of frequency tables with percentages and mean (SD) as well as graphical presentation of the pattern and use of Twitter for Saudi dental schools in the form of bar, pie and line charts. Categorical data were analyzed using chi square test, while continuous data were analyzed using ANOVA. Statistical significance was set at p ≤ 0.05.ResultsA total of 15 Saudi dental schools with Twitter accounts were included in the analysis. King Saud University (KSU) had the largest number of followers with 17,200. Within the time frame of this study, a total of 1,889 original tweets from dental schools were found. Imam Abdulrahman Bin Faisal University (IAU) had the highest number of posted tweets (n = 647, 34.3%). The distribution of tweets was highest in September 2019 (n = 239) and lowest in July 2020 (n = 22). Majority of the tweets (81.9%) belonged to five out of the 15 dental schools. News and announcements were the most tweeted thematic subject with 1,034 tweets (55%). While community service was the most tweeted academic role with 803 tweets (42%). The top five active dental schools’ performance for both thematic and academic role classifications were significantly different based on the chi square test (p < 0.001).ConclusionThis study highlights the importance of Twitter as a social media platform, in dental education especially when it comes to presence and branding for dental schools. Twitter is a helpful platform to expose dental schools to the community, this can be seen by their academic achievements as well as their active role with community service.

Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review.

Introduction: The ongoing collection of large medical data has created conditions for application of artificial intelligence (AI) in research. This scoping review aimed to identify major areas of interest of AI applied to health care administrative data. Methods: The search was performed in seven databases: Medline, Embase, CINAHL, Web of science, IEEE, ICM digital library, and Compendex. We included articles published between January 2001 and March 2021, that described research with AI applied to medical diagnostics, pharmacotherapy, and health outcomes data. We screened the full text content and used natural language processing to automatically extract health areas of interest, principal AI methods, and names of medications. Results: Out of 14,864 articles, 343 were included. We determined ten areas of interest, the most common being health diagnostic or treatment outcome prediction (32%); representation of medical data, clinical pathways, and data temporality (i.e., transformation of raw medical data into compact and analysis-friendly format) (22%); and adverse drug effects, drug-drug interactions, and medication cascades (15%). Less attention has been devoted to areas such as health effects of polypharmacy (1%); and reinforcement learning (1%). The most common AI methods were decision trees, cluster analysis, random forests, and support vector machines. Most frequently mentioned medications included insulin, metformin, vitamins, acetaminophen, and heparin. Conclusions: The scoping review revealed the potential of AI application to health-related studies. However, several areas of interest in pharmacoepidemiology are sparsely reported, and the lack of details in studies related to pharmacotherapy suggests that AI could be used more optimally in pharmacoepidemiologic research.

Effects of Psychotherapy on Quality of Life in End-stage Renal Disease Patients: A Systematic Review with Meta-analysis.

ObjectivesPatients with end-stage renal disease (ESRD) are known to experience poorer quality of life (QoL). The present study aimed to evaluate the effects of psychotherapy on QoL among patients with ESRD.MethodsWe conducted a systematic search for studies in Medline, PubMed, and SAGE Journals databases from their dates of inception up to 10 April 2020. The inclusion criteria were studies on patients with ESRD, of randomized controlled trial design, published in English language, and with full-text content available online. Two researchers independently extracted articles that met the selection criteria and evaluated the quality of each study. A random-effects meta-analysis was conducted, and data was presented in weighted mean difference (WMD) with a 95% CI.ResultsEight studies were included in the systematic review of which five were entered for meta-analysis. Compared with the control group, the intervention group showed a significant enhancement in QoL, in both physical component summary (PCS) (WMD = 2.52, 95% CI: 0.48??4.57) and mental component summary (MCS) (WMD = 4.22, 95% CI: 1.54??6.89). The heterogeneity across studies for both PCS and MCS was found to be I2 = 0%.ConclusionsThe findings indicate that psychotherapy may improve the QoL of patients with ESRD, as compared to the control group. Therefore, psychotherapy can be considered an essential component in the management of ESRD patients for improved psychological and physical outcomes.

Designing a collection tree using Omeka

PurposeThe purpose of this study is to look into the three major new innovative components such as collection tree, tags cloud and geolocation for developing digital library system. This study aims to develop and design an integrated framework for enhancing this services.Design/methodology/approachThis study will develop a single purpose-driven framework for the domain. It will vary user-friendly architecture on expanding the collection tree based on a high-level operating system and plugins. Now software programs are available in the Omeka Web repository. The whole integrated framework has been designed based on the Linux Operating platform and LAMP architecture towards depends on proper installation and configuration of the “Collection Tree” module with Omeka for both the administration and user interfaces.FindingsWith this integrated structure, keyword cloud users will have easy access to objects and full-text content. Because it can save readers time, the collection tree is helpful in them. This integrated framework for constructing and designing the collection tree for the digital library allows geolocation-based searches from multiple collections.Originality/valueThe integrated domain-specific framework has been designed and developed for the libraries. So, it is feasible to provide better library services in inter-operability and crosswalk through the Omeka collection tree interface. It increases the advanced search mechanism for users using this innovative module and techniques towards creating collection trees based on tag clouds and geolocation for library professionals and advanced level users from multiple collections of hierarchy.

Issues and Challenges in Short Food Supply Chains: A Systematic Literature Review

Consumers increasingly prefer more direct and more transparent food distribution channels, such as short food supply chains (SFSCs). Nonetheless, SFSCs face a variety of issues and challenges in their creation and functioning, resulting in limited performance and sustainability, as well as in difficulties of upscaling. This study aims at improving our understanding of SFSCs’ issues/challenges through a systematic review of the most recent literature. We perform a full-text content analysis of 44 studies, looking for answers to the research questions: At which parts of the SFSCs do the issues/challenges occur? How can we characterize the issues/challenges in SFSCs? While doing so, we offer a holistic perspective on SFSCs. We make use of the SCOR model to define SFSC processes as well as to describe the nature of these issues/challenges. The findings of this study shed light on the nature and strategic-tactical-operational level of the issues/challenges in SFSCs and point out the limitations in the existing literature such as the SFSC processes that are neglected. The holistic approach we suggest and the insight on SFSCs’ issues/challenges we provide can help researchers offer effective solutions and strategies to support the overall development of SFSCs.

Pelestarian Koleksi Langka Berbasis Flipbook di Perpustakaan Umum

Introduction. Currently, the office limits access to collections of rare books for users to preserve the physical collection. Users who want to access the display will only get a synopsis. However, this policy makes users challenging to access the full-text content. The collection of rare books has also not received proper preservation and creates some rare book collections to be damaged. This study aims to determine the process of digitizing the rare book collections at the Archives and Library Office of Banjarnegara Regency based on Flipbook.Methodology. This study is a qualitative descriptive study. The selection of informants in this study is a purposive sampling technique. The data collection in this study is observation, interview, and literature study.Result and discussion. This study shows that digitizing the rare book collections includes selection, scanning, editing, flipbook making, and uploading on the OPAC INLISLite application 3.1. Users can access rare book collections in the form of flipbooks or interesting digital books. The obstacles found in digitizing rare book collections are the absence of SOPs of digitizing, inadequate digitization facilities and infrastructures, the absence of Human Resources (HR). Nevertheless, they master the digitization of collections and the lack of budget allocations for digitizing the collection.Conclusion. The impact of digitization with Flipbook is that users have full access to a collection of rare books needed by users and become an alternative to the preservation and empowerment of libraries and users that are more attractive and safe.