Digital Library Research Articles

Кластеризация научных публикаций по морскому автономному надводному судовождению для выявления кластеров ключевых слов

An approach to structuring scientific publications is proposed using the example of scientific works on marine autonomous surface navigation, which allows for data mining with clustering and visualization of the main keywords and phrases related to the designated topic. The resource of the Russian scientific electronic library was used as a source for obtaining data eLIBRARY.RU. Information has been collected on 534 relevant scientific publications for the period from 2013 to the beginning of 2024, containing the title of the work, the year of publication, the list of authors and their affiliation, keywords and phrases, etc. A database for intellectual analysis has been formed, containing 1304 keywords or phrases indicated by the authors of scientific publications related to the selected topic. Data mining was performed using an open source software package for visualization and analysis of related data Gephi. The processing results are presented in the form of undirected graphs. The undirected graphs obtained are presented, and the characteristics of certain graphs for various kernel parameters are indicated. Clusters of keywords or phrases and connections between them have been identified, demonstrating current trends in the development of the chosen scientific field. With the advent of new scientific publications on marine autonomous surface navigation, the graphs will change, fixing new connections between the authors of scientific publications, key words and phrases. Such an approach to data processing may be useful for students, graduate students and researchers to identify a pool of keywords and phrases that need to be paid attention to when studying this topic.

Biology, ecology, and taxonomy of the parasitoids of the families of Austroniidae, Peradeniidae, Proctorenyxidae, Roproniidae, and Vanhorniidae (Hymenoptera: Proctotrupoidea)

Proctotrupoidae are koinobiont endoparasitoids of holometabolous insect larvae. Although Proctrotrupidae can be common and readily collected by sweep netting or Malaise traps, the superfamily is poorly known biologically. Proctotrupoidae are parasitoids of Coleoptera and, to a lesser extent, Diptera larvae, with one extraordinary host record from a centipede, whereas Heloridae has been reared from Neuroptera larvae. Extralimital families attacking Coleoptera and Neuroptera (Austroniidae, Peradeniidae, Proctorenyxidae) are biologically unknown. This work studies the biology, ecology, and taxonomy of the parasitoids of the Families of Roproniidae, Vanhorniidae, Austroniidae, Proctorenyxidae and Peradeniidae (Hymenoptera: Proctotrupoidea). In terms of the type of research source, we worked with scientific articles published in national and international journals. This modality of production, in addition to being commonly the most valued in the set of bibliographic production, is the most easily accessed. Access to articles was through virtual libraries such as Scielo, the University of São Paulo, Latin American Literature, and the University of Brasilia. This library has a specific section for Hymenoptera, with eight journals and texts of articles available in full. The journals included in this section are the following: Zootaxa, Canadian Journal of Zoology, Proceedings of the Entomological Society of Washington, Memoirs of the American Entomological Institute, Florida Entomologist, Canadian Entomologist, Neotropical Entomology, Cladistics, Journal of Asia-Pacific Entomology, Insect Systematics & Evolution, Journal of Hymenoptera Research. Considering only this section constitutes a limitation of the study since articles belonging to journals that integrate other sections of the aforementioned electronic library could also contribute to the discussion of the production of knowledge about the relationship between hosts and parasitoids. However, in principle, within these articles, there could not necessarily be a discussion focused on biology, ecology, and taxonomy.

Accessibility of digital systems in information retrieval by users with visual impairment

Purpose This paper aims to evaluate the accessibility of digital information systems as a key usability attribute in information retrieval by users with visual impairment (VI), to inform development of accessible information systems. Design/methodology/approach This study used a cross-sectional survey design based on the quantitative research paradigm. Data was collected from 117 students with visual impairments from selected public universities in Kenya, using a semi-structured questionnaire adapted from Web Content Accessibility Guidelines. Findings This study revealed that gender did not influence screen reader compatibility, alternative format preferences, perceptions of accessible content or digital library navigability. Instead, type of visual impairment, prior assistive technology (AT) training and digital library use frequency significantly impacted these attributes. Blind students reported positive experiences, favouring alternative formats, and expressed positive views on accessible content while those with low vision faced more challenges. Prior training in assistive technology and frequent digital library use resulted in higher screen reader compatibility and better navigability. Increased digital library use was linked to access to alternative content for those with prior assistive technology training. Research limitations/implications This study contributes to the existing literature on accessibility of digital information systems for users with visual impairments. Further research is needed to explore other factors that may influence the accessibility of digital systems, such as the design of user interfaces as well as an evaluation of accessibility of digital systems for other categories of disabilities such as hearing impairment, physical impairment, autism and intellectual disability, among others. Practical implications The findings of this study have practical implications for the design and development of digital systems such as digital libraries. Developers can leverage findings of this study to enhance compatibility of digital platforms with screen readers and provide alternative formats and accessible content. User-centred design principles can be used to create interfaces that are easy to navigate and friendly to users with visual impairments. Training programmes on assistive technology should be provided to users to enhance their skills and confidence in using digital systems. Originality/value This study contributes towards design and creation of navigable systems that are compatible with screen readers. The study also points out the importance of creating more inclusive and usable digital environments for persons with visual impairments.

Promoting healthy school food environments and nutrition in Canada: a systematic review of interventions, policies, and programs.

The school food environment is a critical interface for child and adolescent nutrition, and there is a need to understand existing literature on Canadian school food environments to identify equity gaps and opportunities, and empower decision-makers to plan for future action. Literature on Canadian school food and nutrition interventions, policies, programs, and their effects on diets and nutritional status are synthesized and appraised in this systematic review. A search strategy was developed for each database used (Medline, Embase, PsycINFO, ERIC, Cochrane Collaboration, Canadian Electronic Library, BiblioMap), with a combination of free text and controlled vocabulary, for articles published from 1990 to 2021. Unpublished data and grey literature were also searched. Quantitative and qualitative studies with an observational or intervention study design, reviews, or program evaluations conducted in Canadian schools with participants aged 5-19.9 years were included. Key study characteristics and risk of bias were extracted independently by 2 investigators using a standardized tool. A total of 298 articles were included (n = 192 peer reviewed and 106 from the grey literature), which were mostly conducted in Ontario (n = 52), British Columbia (n = 43), and Nova Scotia (n = 28). Twenty-four interventions, 5 nonevaluated programs, and 1 policy involved Indigenous populations. Overall, 86 articles measured and reported on effectiveness outcomes, including dietary intake; anthropometry; knowledge, attitudes, and practices; and physical activity. The literature remains largely heterogenous and primarily focused on nutrition education programs that use subjective assessments to infer changes in nutrition. A key facilitator to implementation and sustainability was community engagement, whereas key barriers were staff capacity, access to resources and funding, and consistent leadership. This review provides insight into Canadian school food and nutrition interventions, programs, and policies and uncovers important evidence gaps that require careful examination for future evaluations. Governments must create supportive environments that optimize nutrition for children and adolescents through equitable policies and programs. PROSPERO registration no. CRD42022303255.

Neural Architecture Comparison for Bibliographic Reference Segmentation: An Empirical Study

In the realm of digital libraries, efficiently managing and accessing scientific publications necessitates automated bibliographic reference segmentation. This study addresses the challenge of accurately segmenting bibliographic references, a task complicated by the varied formats and styles of references. Focusing on the empirical evaluation of Conditional Random Fields (CRF), Bidirectional Long Short-Term Memory with CRF (BiLSTM + CRF), and Transformer Encoder with CRF (Transformer + CRF) architectures, this research employs Byte Pair Encoding and Character Embeddings for vector representation. The models underwent training on the extensive Giant corpus and subsequent evaluation on the Cora Corpus to ensure a balanced and rigorous comparison, maintaining uniformity across embedding layers, normalization techniques, and Dropout strategies. Results indicate that the BiLSTM + CRF architecture outperforms its counterparts by adeptly handling the syntactic structures prevalent in bibliographic data, achieving an F1-Score of 0.96. This outcome highlights the necessity of aligning model architecture with the specific syntactic demands of bibliographic reference segmentation tasks. Consequently, the study establishes the BiLSTM + CRF model as a superior approach within the current state-of-the-art, offering a robust solution for the challenges faced in digital library management and scholarly communication.

The Role of Virtual Libraries in the Contemporary World an Analytical Study

Virtual libraries play a crucial role in the development of libraries and information profession, as well as the advancement of working methods and service levels in cultural institutions such as museums and archives. These libraries are a global phenomenon resulting from the information and communications technology revolution, facilitated by the World Wide Web. Furthermore, virtual libraries are not just a cultural, educational, and scientific necessity, but also serve as a vital means of providing accurate and relevant information to users. This study aims to address the impact of artificial intelligence technology on the operations of libraries and documentation centers. Through examples of its implementation in libraries, study explore how these technologies can enhance the provision of information. Additionally, the study discusses the current state and challenges faced by virtual libraries, while elucidating their key features and user utilization.

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

Sourcing public policy: organisation publishing in Wikipedia

ABSTRACT Organisations across multiple sectors are prolific publishers in a range of genres including research reports, policy briefs, fact sheets, datasets and much more. Sometimes referred to as grey literature, these publications play a critical role in the circulation of research and ideas on public policy and public interest issues, yet they are often overlooked as part of the research publishing system, including on Wikipedia and Wikimedia. One of the cornerstones of Wikipedia is its reliance on citations from reliable sources, however little is known about the way in which organisation-produced and disseminated publications are understood and used as sources on Wikimedia platforms. This article reviews the literature and analyses available data on the sources used on English Wikipedia and what it can tell us about the extent to which policy reports from organisations are cited and the issues that arise with evaluating their reliability. We then provide a case study of a project underway by the Analysis & Policy Observatory (APO), a digital library of policy reports based in Australia, which aims to improve the presence of high-quality policy and research material and coverage of policy issues on Wikipedia.

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.

Nursing care for patients with Alzheimer in Primary Care

Introduction: Alzheimer's is a significant challenge for healthcare systems, due to the increasing global aging population, which requires a comprehensive and patient-centered approach. Objective: The research has the general objective of analyzing nursing care for patients with Alzheimer's in primary care, and the specific objectives of contextualizing Alzheimer's disease and its characteristics; describe the pathophysiology, diagnosis and treatment of Alzheimer's Disease; present the importance of the role of nursing professionals and what interventions are carried out. Methodology: This study is a systematic and integrative literature review, the search was carried out virtually from September 2023 to April 2014, in the databases: Scientific Electronic Library Online (Scielo), PUBMED (National Library of Medicine), Latin American and Caribbean Literature in Health Sciences (LILACS) and BDENF. Results: The 15 articles selected for results and discussion addressed the contextualization and characteristics of Alzheimer's disease, described the pathophysiology, diagnosis and treatment and concluded by integrating nursing into primary care, in addition to realizing the importance of patient-family monitoring. nursing. Conclusion: During primary care, nursing collaboration is crucial to providing holistic, personalized care to individuals and families affected by this debilitating condition. Recognizing the importance of early diagnosis, education and continuous monitoring, it is clear that nurses play a central role in the comprehensive approach to Alzheimer's, standing out as agents of change and support amidst the growing challenges faced by this increasingly growing population. vulnerable.

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.