Digital Library Research Articles

Correlation of protein binding pocket properties with hits' chemistries used in generation of ultra-large virtual libraries.

Although the size of virtual libraries of synthesizable compounds is growing rapidly, we are still enumerating only tiny fractions of the drug-like chemical universe. Our capability to mine these newly generated libraries also lags their growth. That is why fragment-based approaches that utilize on-demand virtual combinatorial libraries are gaining popularity in drug discovery. These à la carte libraries utilize synthetic blocks found to be effective binders in parts of target protein pockets and a variety of reliable chemistries to connect them. There is, however, no data on the potential impact of the chemistries used for making on-demand libraries on the hit rates during virtual screening. There are also no rules to guide in the selection of these synthetic methods for production of custom libraries. We have used the SAVI (Synthetically Accessible Virtual Inventory) library, constructed using 53 reliable reaction types (transforms), to evaluate the impact of these chemistries on docking hit rates for 40 well-characterized protein pockets. The data shows that the virtual hit rates differ significantly for different chemistries with cross coupling reactions such as Sonogashira, Suzuki-Miyaura, Hiyama and Liebeskind-Srogl coupling producing the highest hit rates. Virtual hit rates appear to depend not only on the property of the formed chemical bond but also on the diversity of available building blocks and the scope of the reaction. The data identifies reactions that deserve wider use through increasing the number of corresponding building blocks and suggests the reactions that are more effective for pockets with certain physical and hydrogen bond-forming properties.

Emergency medical services in Armenia: national call trends and future directions.

Emergency medical services (EMS) are paramount to boosting health indices in lower-middle income countries (LMICs); however, lack of uniform data collection and analysis hinders system improvement efforts. In the present study, we describe patterns of EMS utilization in the Republic of Armenia and provide key insight into the quality of digital data collection methods. For calls logged in the capital city, Yerevan, the majority had at least one missing field. The predominant complaint was high blood pressure among adults (34.4%) and fever among pediatrics (65.9%). A majority of patients were female (57.6%), adults (90.2%), and not transported to a hospital (85.0%). In the rural provinces, the data was largely intact. The predominant complaints were unspecified acute condition (27.4%) and high blood pressure (26.2%) among adults, and fever (43.9%) and unspecified acute condition (22.1%) among pediatrics. A majority of patients were female (57.1%), adults (94.2%), and not transported to a hospital (78.9%). Our study reveals that the majority of calls to the EMS system are for concerns not needing in-hospital treatment and for acute exacerbation of chronic conditions. Our study also provides a critical foundation for the improvement of EMS systems in Armenia and in other nations in transition. The Locator software has the potential to be a valuable tool to the MoH if it is improved for surveillance purposes, and future synchronization of digital systems would provide easy access to critical information on population health needs and the effectiveness of public health interventions.

Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review.

There is an urgent need worldwide for qualified health professionals. High attrition rates among health professionals, combined with a predicted rise in life expectancy, further emphasize the need for additional health professionals. Work-related stress is a major concern among health professionals, affecting both the well-being of health professionals and the quality of patient care. This scoping review aims to identify processes and methods for the automatic detection of work-related stress among health professionals using natural language processing (NLP) and text mining techniques. This review follows Joanna Briggs Institute Methodology and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The inclusion criteria for this scoping review encompass studies involving health professionals using NLP for work-related stress detection while excluding studies involving other professions or children. The review focuses on various aspects, including NLP applications for stress detection, criteria for stress identification, technical aspects of NLP, and implications of stress detection through NLP. Studies within health care settings using diverse NLP techniques are considered, including experimental and observational designs, aiming to provide a comprehensive understanding of NLP's role in detecting stress among health professionals. Studies published in English, German, or French from 2013 to present will be considered. The databases to be searched include MEDLINE (via PubMed), CINAHL, PubMed, Cochrane, ACM Digital Library, and IEEE Xplore. Sources of unpublished studies and gray literature to be searched will include ProQuest Dissertations & Theses and OpenGrey. Two reviewers will independently retrieve full-text studies and extract data. The collected data will be organized in tables, graphs, and a qualitative narrative summary. This review will use tables and graphs to present data on studies' distribution by year, country, activity field, and research methods. Results synthesis involves identifying, grouping, and categorizing. The final scoping review will include a narrative written report detailing the search and study selection process, a visual representation using a PRISMA-ScR flow diagram, and a discussion of implications for practice and research. We anticipate the outcomes will be presented in a systematic scoping review by June 2024. This review fills a literature gap by identifying automated work-related stress detection among health professionals using NLP and text mining, providing insights on an innovative approach, and identifying research needs for further systematic reviews. Despite promising outcomes, acknowledging limitations in the reviewed studies, including methodological constraints, sample biases, and potential oversight, is crucial to refining methodologies and advancing automatic stress detection among health professionals. PRR1-10.2196/56267.

The use of virtual technologies with music in rehabilitation: a scoping systematic review

IntroductionThe use of virtual environments in rehabilitation has been growing. The current systematic review aimed to evaluate how and where virtual technologies are combined with music in rehabilitation.MethodsA literature search was conducted in seven databases (ACM Digital Library, CINAHL Complete, Cochrane Library, Computer Science database, Medline, Nursing & Allied Health database, and Scopus). It included articles published from 2006 to February 2023. The search followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for study selection. Twelve studies with 160 participants were included in the review. In addition, a descriptive approach was used to gather data from the studies for the areas of interest.ResultsVirtual Reality (VR) and Augmented Reality were most familiar and used in rehabilitation, but Mixed Reality, and Extended Reality were less studied. It became evident that equipment, diverse applications, assessment metrics, training environments, and methodologies were highly varied. Most of the studies were pilots, the overall quality of included studies was rated moderate, and the risk of bias was high in the included studies. The studies on motor rehabilitation after stroke showed a clinical improvement in hand functions, specifically fractionation. Furthermore, studies that included motivation, adherence, and mental health, slightly supported the idea that VR technologies with music have the potential to promote motivation and exercise adherence, increase positive emotions, and decrease anxiety. In addition, user experience and feasibility studies presented technologies combined with music to be safe and acceptable in rehabilitation.DiscussionIn light of these findings, it can be inferred that virtual technologies with music offer promising avenues for future rehabilitation research. However, some confusion was obtained related to the included studies’ definitions of technologies and management terms. Furthermore, it is important to note the limited number of studies and participants, the heterogeneity among participants, and the overall quality of the studies that restrict the generalizability of these results to a larger population. Therefore, future researchers should define concepts and terms, delve deeper into this area to uncover the potential benefits, and clarify the specific mechanisms through which virtual technologies with music can positively impact rehabilitation outcomes.

Comparison of the Effects of Full Median Sternotomy vs. Mini-Incision on Postoperative Pain in Cardiac Surgery: A Meta-Analysis.

It is not yet clear whether cardiac surgery by mini-incision (minimally invasive cardiac surgery [MICS]) is overall less painful than the conventional approach by full sternotomy (FS). A meta-analysis is necessary to investigate polled results on this topic. PubMed®/MEDLINE, Cochrane CENTRAL, Latin American and Caribbean Health Sciences Literature (or LILACS), and Scientific Electronic Library Online (or SciELO) were searched for all clinical trials, reported until 2022, comparing FS with MICS in coronary artery bypass grafting (CABG), mitral valve surgery (MVS), and aortic valve replacement (AVR), and postoperative pain outcome was analyzed. Main summary measures were the method of standardized mean differences (SMD) with a 95% confidence interval (CI) and P-values (considered statistically significant when < 0.05). In AVR, the general estimate of postoperative pain effect favored MICS (SMD 0.87 [95% CI 0.04 to 1.71], P=0.04). However, in the sensitivity analysis, there was no difference between the groups (SMD 0.70 [95% CI -0.69 to 2.09], P=0.32). For MVS, it was not possible to perform a meta-analysis with the included studies, because they had different methodologies. In CABG, the general estimate of the effect of postoperative pain did not favor any of the approaches (SMD -0.40 [95% CI -1.07 to 0.26], P=0.23), which was confirmed by sensitivity analysis (SMD -0.02 [95% CI -0.71 to 0.67], P=0.95). MICS was not globally less painful than the FS approach. It seems that postoperative pain is more related to the degree of tissue retraction than to the size of the incision.

Web-Based Digital Cell Library Characterization System

Web-Based Digital Cell Library Characterization System

Editorial: Whether a digital library qualifies as a “library”

Editorial: Whether a digital library qualifies as a “library”

15 years of Big Data: a systematic literature review

Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data research in the last 15 years. The objective of this Systematic Literature Review is to summarize the current state of the art of the previous 15 years of research about Big Data by providing answers to a set of research questions related to the main application domains for Big Data analytics; the significant challenges and limitations researchers have encountered in Big Data analysis, and emerging research trends and future directions in Big Data. The review follows a predefined procedure that automatically searches five well-known digital libraries. After applying the selection criteria to the results, 189 primary studies were identified as relevant, of which 32 were Systematic Literature Reviews. Required information was extracted from the 32 studies and summarized. Our Systematic Literature Review sketched the picture of 15 years of research in Big Data, identifying application domains, challenges, and future directions in this research field. We believe that a substantial amount of work remains to be done to align and seamlessly integrate Big Data into data-driven advanced software solutions of the future.

Cybersecurity for digital libraries: an interview with Emanuele Bellini

PurposeN/ADesign/methodology/approachN/AFindingsN/AResearch limitations/implicationsN/APractical implicationsN/ASocial implicationsN/AOriginality/valueN/AContribution to ImpactN/A

Analisis Penerimaan Aplikasi Kubuku oleh Pengguna di UPT Perpustakaan Universitas Andalas: Studi Deskriptif dengan Model Technology Acceptance Model (TAM)

One form of digital library owned by the Andalas University Library UPT is the Kubuku application, however the use of the Kubuku application in this agency is not optimal. This research aims to analyze the acceptance of the Kubuku application by users at the Andalas University Library UPT. The type of research used is a quantitative approach with descriptive methods. The data collection technique was carried out by distributing questionnaires to the respondents. The total population in this study was 437 people. Samples were taken from 81 users using the Slovin formula with a precision of 10%. The analysis was carried out using the Technological Acceptance Model (TAM) theory which consists of 4 indicators. From each indicator, it was found that users had a perception of the usefulness of the application with a percentage of 74.6% in the good category. Users have a perception of ease of use of the application with a percentage of 84% in the very good category. Users have a good interest in using the Kubuku application with a percentage of 72.6%. And the actual use of the Kubuku application is also categorized as good with a percentage of 64%. Based on the overall results of the research, it can be concluded that there is acceptance of the Kubuku application by users at the Andalas University Library UPT with a percentage of 73.8% which is in the good category.

The importance of sustainable practices and whole foods in Brazilian schools

This review article analyzes the importance of sustainable practices and whole foods in Brazilian schools. The qualitative data was collected from articles corresponding to the years 2018 to 2022, through access to: SCIELO, CAPES journal portal and the BDTD (Brazilian Digital Library of Theses and Dissertations) under the criteria: national and complete publications, and with the themes: (i) integral use of food; (ii) existence of the practice and incidences in the consumption of food in its entirety; (iii) investigation of the importance of sustainability and its implication today. Of the 23 articles, 14 were selected, with consultations on laws for discussion and analysis. The aim is to highlight the provocation and promotion of healthy food consumption. School communities provide food as one of the premises for forming healthy eating habits. Therefore, the SDGs: 2, 4 and 12 - zero hunger and sustainable agriculture, quality education and responsible consumption and production - are correlated with situations in which school meals reflect on food waste.

Accelerating ionizable lipid discovery for mRNA delivery using machine learning and combinatorial chemistry.

To unlock the full promise of messenger (mRNA) therapies, expanding the toolkit of lipid nanoparticles is paramount. However, a pivotal component of lipid nanoparticle development that remains a bottleneck is identifying new ionizable lipids. Here we describe an accelerated approach to discovering effective ionizable lipids for mRNA delivery that combines machine learning with advanced combinatorial chemistry tools. Starting from a simple four-component reaction platform, we create a chemically diverse library of 584 ionizable lipids. We screen the mRNA transfection potencies of lipid nanoparticles containing those lipids and use the data as a foundational dataset for training various machine learning models. We choose the best-performing model to probe an expansive virtual library of 40,000 lipids, synthesizing and experimentally evaluating the top 16 lipids flagged. We identify lipid 119-23, which outperforms established benchmark lipids in transfecting muscle and immune cells in several tissues. This approach facilitates the creation and evaluation of versatile ionizable lipid libraries, advancing the formulation of lipid nanoparticles for precise mRNA delivery.

Machine Learning-Based Predictive Models for Patients with Venous Thromboembolism: A Systematic Review.

Venous thromboembolism (VTE) is a chronic disorder with a significant health and economic burden. Several VTE-specific clinical prediction models (CPMs) have been used to assist physicians in decision-making but have several limitations. This systematic review explores if machine learning (ML) can enhance CPMs by analyzing extensive patient data derived from electronic health records. We aimed to explore ML-CPMs' applications in VTE for risk stratification, outcome prediction, diagnosis, and treatment. Three databases were searched: PubMed, Google Scholar, and IEEE electronic library. Inclusion criteria focused on studies using structured data, excluding non-English publications, studies on non-humans, and certain data types such as natural language processing and image processing. Studies involving pregnant women, cancer patients, and children were also excluded. After excluding irrelevant studies, a total of 77 studies were included. Most studies report that ML-CPMs outperformed traditional CPMs in terms of receiver operating area under the curve in the four clinical domains that were explored. However, the majority of the studies were retrospective, monocentric, and lacked detailed model architecture description and external validation, which are essential for quality audit. This review identified research gaps and highlighted challenges related to standardized reporting, reproducibility, and model comparison. ML-CPMs show promise in improving risk assessment and individualized treatment recommendations in VTE. Apparently, there is an urgent need for standardized reporting and methodology for ML models, external validation, prospective and real-world data studies, as well as interventional studies to evaluate the impact of artificial intelligence in VTE.

Multilingualism in Scientific Literature Communicated by Journals from the SciELO Brazil Collection

This article describes the internationalization of the Scientific Electronic Library Online (SciELO), an open-science programme aimed at the development of capacities and infrastructure in research communication. It manages open-access collections of preprints, articles, research data, books, and book chapters, with a focus on national collections of non-profit peer-reviewed journals published by research communities of academic institutions, scientific societies, and associations. Celebrating 25 years of regular operation, SciELO improves research communication through professionalization, internationalization and sustainability of the indexed journals, maximizing their visibility and impact. In Brazil, the internationalization efforts by SciELO are aligned with national research policies, especially the internationalization of graduate programmes. The SciELO Brazil collection of journals evolves by adopting English solely or with Portuguese to improve the contribution of multilingualism to performing research by subject field. This article covers two decades of scientific literature in SciELO Brazil from 2003 to 2022. During this time, articles written in English or simultaneously in Portuguese and English increased significantly, resulting in a corresponding rise in access and citations received. The progress of the internationalization of the journals in the SciELO Brazil collection through multilingualism has been challenging both operationally and programmatically.

Manajemen Perpustakaan Berbasis Information and Communication Tecnology (ICT) di Universitas Muslim Nusantara Al –Washliyah

This study aims to determine ICT-based library management because the rapid development of technology makes significant changes, especially in information technology. Related to the development of information technology, libraries have also changed from conventional libraries to digital libraries. Library as an information center in the face of technological developments, namely by managing libraries using library management based on Information and Communication Technology (ICT) as library management. This development can be felt now with many libraries using Infomation and Communication Technology (ICT) as management in libraries. This type of research is descriptive with qualitative methods. The techniques used for data collection are interviews, observation, and documentation. Data analysis using three stages, namely: data reduction, presentation, and conclusions. The results of this study show that ICT-based library management is able to improve services and use in libraries, as well as make it easier for students to obtain books and information needed because in its services it does not have a difficult process but is faced with a lack of human resources (Human Resources) in ICT management.

Bibliometric Analysis of Scientific Publications on Communicative Behavior Problems

Purpose of research. The purpose of the study is to analyze the dynamics of the publication activity of scientific research in the field of studying communicative behavior. Communicative behavior is an object with an interdisciplinary research status. It falls into the area of research interest of various scientific fields. A bibliometric analysis of publication activity was carried out in connection with solving several tasks: to find out areas of knowledge in which the greatest publication activity is concentrated, to study the methods that are used in various fields of communicative behavior analysis, to identify organizations that are included in this research search.Methods. The study was conducted in two scientific electronic databases: the Russian Scientific Electronic Library Elibrary.ru and the international open platform for researchers and scientific organizations Lens. The bibliometric analysis was used as the research method. It involves the quantification of documentary information flows and it is based on quantitative research indicators reflecting the state of science as a whole or its individual branches.Results. As a result of the bibliometric analysis of publication activity on the problems of scientific research in the field of communicative behavior, communicative behavior in the digital environment and communicative behavior in social networks, a significant increase in publication activity was revealed in both international and Russian information databases over the past 10 years (2013 - 2023). It is also noted that the predominant number of publications on the issues studied is concentrated in the field of psychology. However, we can trace a shift in the focus of foreign research on communicative behavior towards digitalization in information technology, and Russian research towards the field of digital technologies in the educational environment.Conclusion. The results obtained indicate the high relevance, as well as the scientific and practical significance of the research topic on the problems of communicative behavior in general, as well as communicative behavior in the digital environment and social networks, in particular.

A systematic review of chatbots in inclusive healthcare: insights from the last 5 years

AbstractHealthcare is one of the most important sectors of our society, and during the COVID-19 pandemic a new challenge emerged—how to support people safely and effectively at home regarding their health-related problems. In this regard chatbots or conversational agents (CAs) play an increasingly important role, and are spreading rapidly. They can enhance not only user interaction by delivering quick feedback or responses, but also hospital management, thanks to several of their features. Considerable research is focused on making CAs more reliable, accurate, and robust. However, a critical aspect of chatbots is how to make them inclusive, in order to effectively support the interaction of users unfamiliar with technology, such as the elderly and people with disabilities. In this study, we investigate the current use of chatbots in healthcare, exploring their evolution over time and their inclusivity. The study was carried out on four digital libraries (ScienceDirect, IEEE Xplore, ACM Digital Library, and Google Scholar) on research articles published in the last 5 years, with a total of 21 articles describing chatbots implemented and actually used in the eHealth clinical area. The results showed a notable improvement in the use of chatbots in the last few years but also highlight some design issues, including poor attention to inclusion. Based on the findings, we recommend a different kind of approach for implementing chatbots with an inclusive accessibility-by-design approach.

Photographic Parameters in Three-Dimensional Facial Image Acquisition. A Scoping Review.

Orthognathic surgery is a viable and reproducible treatment for facial deformities. Despite the precision of the skeletal planning of surgical procedures, there is little information about the relations between hard and soft tissues in three-dimensional (3D) analysis, resulting in unpredictable soft tissue outcomes. Three-dimensional photography is a viable tool for soft tissue analysis because it is easy to use, has wide availability, low cost, and is harmless. This review aims to establish parameters for acquiring consistent and reproducible 3D facial images. A scoping review was conducted across PubMed, SCOPUS, Scientific Electronic Library Online (SciELO), and Web of Science databases, adhering to "Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews" guidelines. Articles presenting 3D facial photographs in the diagnostic phase were considered. A total of 79 articles were identified, of which 29 were selected for analysis. The predominant use of automated systems like 3dMD and VECTRA M3 was noted. User positioning has highest agreement among authors. Noteworthy aspects include the importance of proper lighting, facial expression, and dental positioning, with observed discrepancies and inconsistencies among authors. Finally, the authors proposed a 3D image acquisition protocol based on this research findings.

Profil dan Visualisasi Kata Kunci Media Pustakawan dan Visi Pustaka Periode 2017-2021

Profile and visualization of the keywords Media Librarian and Library Vision for the 2017-2022 period were carried out using the Bibliometric method. The research objectives were to determine: 1. The number of articles published in both journals during 2017-2022; 2. Authors who contributed to the two journals, and 3. Keyword profiles and visualization using Vosviewer. Data were taken from both journal sites, namely https://ejournal.perpusnas.go.id. The data collected is the number of articles, authors and keywords used in both journals. The results and conclusions of the research are that Media Librarian has 135 articles from 18 publications, more than the Visi Pustaka journal, which has 135 article titles from 15 publications. Authors who contributed to Librarian Media and Library Vision were 204 authors and 158 authors, respectively. Vision Pustaka published regularly and regularly compared to Media Librarians. The publication with the most authors in the Media Librarian journal is in vol. 26 no. 4, 2019, with as many as 16 authors, while in the Librarian Vision journal, it is in vol. 23 no. 2, 2021, with as many as 15 authors. The highest number of writers is common, with Media Librarians with 15 writers. The number of occurrences of different keywords in Vision Reader is 292 out of the existing keywords 395. In contrast, the keywords in Media Librarian are more numerous than the keywords in Vision Library, with different keywords of 370 of the number of keyword occurrences. There were 607 of them. The resulting phrases or keywords that were often used in Vision Library appeared 148 times out of 37 different keywords generated, including Library/Library appearing 21 times (0.14%), Bibliometrics appearing 19 times (0 .13%), and Librarian/Librarian appeared 14 times (0.09%). Phrases or keywords that are often used in Librarian Media appear 222 times out of 31 different keywords, including Librarian/Librarian appearing 41 times (0.18%), Bibliometrics appearing 23 times (0.10%), and Library/Library appearing 19 times (0.09%). The two journals, both Media and Librarian Visi Pustaka, have the same phrases or keywords used. Visualization of the emergence of the title and abstract keywords in both journals produces the same topic by dominating the topics discussing libraries, Indonesia, librarians, users and information and connecting them with keywords in other clusters. The least discussed keywords relate to user anxiety, pandemic, information needs, users and analysis of digitalization, innovation, digital era, library collection and digital library. It is suggested that keywords that occur a little can be used as a topic for further research as a novelty in writing in the field of libraries.

Marcos de competência para a formação de enfermeiros no Brasil: revisão de escopo

Higher education in Nursing is constantly changing, stimulating the use of active methodologies that contribute to the development of competencies. The objective was to present an overview of the competency milestones for nurse training in Brazil. This is a Scoping Review, carried out in the Virtual Health Library (VHL), PubMed, Capes, Portal and Scientific Electronic Library Online (SciELO) databases, from 2012 to 2022. The descriptors “Based Education Skills”, “Profile of Nurses' Skills”; “Nurse Education” and “Competency” were used in English and Spanish, with the Boolean “AND”. The 11 selected studies showed a change in the paradigm of competency-based training, using the National Curriculum Guidelines, clarifying the concept of competency and the competency milestones. In the Brazilian reality, the theme is incipient, with initiatives inscribed in records of management skills, leadership, promotion and health education.