Digital Library Research Articles

Adoption of Advanced Systems for Digital Resource Management in Academic Institutions

In educational organizations, digital resource management refers to the organization and enhancement of electronic resources, including databases, libraries, and digital instructional materials. Excellent administration ensures optimal utilization, improves accessibility, and advances learning objectives. To achieve better institutional results, this approach entails incorporating digital tools, handling issues like data security and user training, and adjusting to new technological developments. Using an emphasis on the integration of digital libraries, e-learning platforms, and research databases, this study investigates the technologies and approaches used in maintaining digital resources within higher education circumstances. Through the use of a survey research design, this study employed a quantitative research methodology. Data gathered from a sample of 250 undergraduate students was utilized in this investigation. This study looks at the connections between teaching profile (TP), technology competence (TC), digital technology awareness (DTA), utility perception (UP), and usage motivation (UM). SPSS was utilized statistically to obtain the outcomes. Descriptive, correlation, and regression analysis were used to obtain the results utilizing data gathered from a sample of university participants. Significant of both conceptual and actual consequences have resulted from the findings.According to the study's findings, efficient use of digital resources in academic institutions greatly improves accessibility and resource utilization, both of which contribute to better learning outcomes.

Analysis of the library quality assurance system in supporting international accreditation of department at Sebelas Maret University, Surakarta, Indonesia

PurposeLibrary quality assurance systems are collaborative governances that facilitate the presentation of data on international accreditation of departments, which contains data on services, human resources, library facilities and infrastructure. This research analyzes the supporting and inhibiting factors and the advantages of the library quality assurance system in supporting international accreditation of departments at Sebelas Maret University (UNS) Surakarta, Indonesia using Talcott Persons' theory of structural functionalism.Design/methodology/approachPrimary data in exploratory research and action research obtained from the Quality Assurance Team at the university level under the Educational Quality Assurance and Development Institute (LPPMP), the Quality Assurance Unit (UPM) at the faculty level and the Quality Control Group (GKM) at the department, librarian and academic community levels. Supporting informants are international assessor practitioners. Data validation using source triangulation, namely information obtained through different sources, and method triangulation through different methods. Data obtained from library studies, observations, Focus Group Discussions (FGD), documentation and interviews with staff, library leaders, lecturers from departments that have and will carry out international accreditation and UNS students and analyzed interactive analysis models, namely data reduction, data presentation and concluding.FindingsThe research results show that the UNS Library quality assurance system facilitates higher education organizations, such as bachelor's, master's and doctoral departments at UNS; search and presentation of international accreditation data. Supporting factors include the availability of digital library systems, online catalogs (UNSLA), e-journal and e-book databases, library websites and library data links for accreditation; facilities and infrastructure consist of indoor-outdoor study rooms; library social media; Self Access Terminal room; facilities for international students; involvement of librarians in international internships/conferences, librarians who have had competency tests and certification; librarians pursuing doctoral degree and support for student interns in system development. Inhibiting factors include the unavailability of programmers and dependence on UNS Information and Communication of Technology Unit. The benefits of the department quality assurance system include accelerating and improving the organization's quality and presentation of international accreditation data for departments at UNS.Originality/valueThis type of qualitative research with an exploratory approach takes library study data, observations and in-depth interviews with library staff and quality assurance of departments. The informants were selected using purposive sampling, which was adjusted to the needs and interests of the research. It also uses the action research method, a collaboration between the quality assurance unit, librarians and academics. Action research is a form of collective self-reflection that involves a series of daily activities, which include the processes of research, diagnosis, planning, implementation, monitoring and establishing the necessary relationships between evaluation and self-development. The research object is something that will be subject to conclusions resulting from something that will be discussed in the research. The object of this research is the quality assurance of the UNS Library. Primary data was obtained from the Quality Assurance Team at the university level under the LPPMP, the Quality Assurance Unit (UPM) at the faculty level and the Quality Control Group (GKM) at the department, librarian and academic community levels. Supporting informants are international assessor practitioners. Data will be collected using observation, in-depth interviews, Focus Group Discussion (FGD) and documentation. To ensure the validity of the data, source triangulation is used, namely, information obtained through different sources, as well as method triangulation through different methods, for example, interviews with observation or FGD. Data analysis using an interactive analysis model, namely data reduction, data presentation and concluding. This research was conducted at the UNS Library, with the research object being all departments at Sebelas Maret University, which have and will undergo international accreditation.

Comparative Effectiveness of Teledermatology Versus In-person Consultations: A Systematic Review of Diagnostic Information Elements

Context: Teledermatology is delivered through two primary methods: Live video conferencing, which enables real-time interaction between patients and doctors, and the store-and-forward technique, where images of skin lesions are sent over the internet for later examination. Objectives: This systematic review evaluates the concordance between in-person and telemedicine follow-up methods in dermatology. Methods: In February 2024, a comprehensive literature search was conducted across PubMed, Medline, ISI Web of Science, and the ACM Digital Library. Keywords such as "teledermatology," "telemedicine," and "mobile health" were used, following the PICOS criteria. Results: Initially, 716 articles were identified from the databases, along with four studies from the gray literature search. After removing duplicates, screening studies, and applying the inclusion and exclusion criteria, 21 studies were selected for the final review. These studies detailed follow-up procedures and assessed both direct and indirect costs and effectiveness. The consensus indicates that teledermatology reduces costs and satisfies both patients and healthcare professionals. Conclusions: Teledermatology has been shown to potentially increase the efficiency of follow-up care compared to traditional methods. However, further research is needed to develop standardized evaluation protocols and to more accurately measure and validate key variables. Publications suggest that teledermatology is cost-effective, reduces patient wait times, extends access to dermatological care in remote areas, and enhances satisfaction among patients, doctors, and nurses.

A Synthetic View on Acanthamoeba Keratitis Host Immune Response: Potential Factors Influencing the Development of Chronic Inflammation

Purpose: The purpose of this study was to compile the current knowledge concerning Acanthamoeba keratitis (AK) host immune response to better understand the elements involved in the chronification of inflammation and worse disease outcomes. Methods: A scoping review of the literature on AK host immune response was written after a systematic literature search was performed on the PubMed, Latin American Caribbean Health Sciences Literature, Cochrane Library, Embase, Web of Science, and Scientific Electronic Library Online databases. Recovered articles were screened according to inclusion and exclusion criteria, and the selected studies were analyzed to compile the review. Results: The search strategy yielded a total of 768 articles from all searched databases. After the exclusion of duplicate records, 412 studies were screened according to inclusion and exclusion criteria. Finally, a total of 95 articles were selected to compile this review, of which 15 were included as additional bibliography. As for study type, 45 were experimental, 19 were observational, 23 were case reports, and 8 were reviews. Conclusions: From the literature, both innate and adaptive immune systems seem to play an important role in AK control and resolution. On the other hand, there is also abundant evidence pointing out that the development of chronic and extracorneal inflammation is immune mediated and is influenced by several factors such as individual patient genetic variability, inadequate treatment, and Acanthamoeba strain pathogenicity.

Nursing Staff's Perspectives of Care Robots for Assisted Living Facilities: Systematic Literature Review.

Care robots have been proposed in response to nursing shortages in assisted living facilities (ALFs) and the growing population of older adults. While the use of care robots may improve the general health and well-being of older adults, their introduction changes the work of nursing staff fundamentally, and it has implications for the entire health care system. In developing such technology, it is important to include end users, but so far, the nursing staff's perspectives have largely been ignored. This study aims to examine the literature on nursing staff's attitudes, needs, and preferences related to the use of care robots in ALFs, in order to discover gaps in the literature and guide future research. This review follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 protocol. On May 12, 2023, we searched PubMed, CINAHL Plus with Full Text, PsycINFO, the IEEE Xplore Digital Library, and the ACM Digital Library using predetermined search terms. Included publications, written in English, focused on the predevelopment phase, in which information was gathered on nursing staff's attitudes, needs, and preferences regarding care robots for ALFs. Publications were excluded if they did not provide peer-reviewed empirical data. The studies' findings were summarized, coded, and analyzed into major themes using thematic analysis and narrative synthesis. Their quality was assessed using McGill University's Mixed Methods Appraisal Tool and the Joanna Briggs Institute's critical appraisal tools. The final sample included 15 studies. Most of the studies (n=11, 73%) were rated as good quality; however, there was a general lack of reporting on important methodological decisions and sample characteristics. Nursing staff desired care robots that could assist with physically demanding tasks and reduce their workload but had mixed feelings on whether robots could or should assist with social tasks. In addition, nursing staff are concerned about the ethics of care robots, as well as about their safety, accessibility, and operability. The nursing staff's culture, qualification, and role in the facility may influence their perspectives of care robots. The studies lacked theory-driven designs and large sample sizes. Eight (53%) studies mentioned using a participatory design approach, but a lack of established criteria for what constitutes participatory design leads to varying degrees of methodological quality. There was consensus among nursing staff that care robots should serve as nursing assistants to reduce workload. Whether robots could or should assist with social tasks remains a question. Further research is needed to mitigate nursing staff's concerns and understand the socioecological factors that influence their perspectives of care robots and their adoption in ALFs. In addition, theory-driven and large sample size study designs are necessary, as well as work to develop clear criteria for related participatory design research.

FATORES ASSOCIADOS À QUALIDADE DE VIDA DE CUIDADORES DE IDOSOS COM DEMÊNCIA

The objective of this study was to analyze the factors that influence the quality of life of caregivers of elderly people with Alzheimer's dementia. An integrative literature review study was conducted using the secondary databases Virtual Health Library, Latin American and Caribbean Health Sciences Literature, Scientific Electronic Library Online and Online System for Search and Analysis of Medical Literature based on the specific descriptors retrieved in the Health Sciences Descriptors. The factors associated with the quality of life of caregivers of elderly people with Alzheimer's dementia were burden, functional decline and dependence of the elderly to perform activities of daily living, degree of dementia severity, longer time since diagnosis and living with the demented elderly, socioeconomic conditions, psychological stress and decline in social relationships, environment domain, psychological and physical. It is essential that care is also cared for, both from the point of view of health and in relation to public policies of social security and assistance.

FATORES ASSOCIADOS AOS TRANSTORNOS MENTAIS COMUNS ENTRE PROFESSORES

Objective: To identify the main common mental disorders identified among teachers. Materials and methods: This is a literature review with research in several virtual libraries, such as the nursing database (DENF), Latin American and Caribbean Health Sciences Literature (LILACS) and Scientific Electronic Library Online (SciELO). Results: Stress is one of the most common problems faced, characterized by a state of permanent tension, causes an intense imbalance in the body, which can trigger several serious diseases. Conclusion: The lack of motivation to work is one of the main factors that lead many teachers to look for other jobs and suffer from mental illnesses. The revaluation of education professionals, together with better salaries and a decent workload, would lead to a greater demand for the area and a better quality of life.

A scoping review about the portrayal of mental illness in commercial video games

AbstractCurrent research is sparse on the relatively new but highly relevant topic of mental disorders in video games. This scoping review aimed to map the existing research on portrayal of mental illness in video games. PubMed, PsychInfo, PsycArticles, Medline, Scopus and the ACM Digital Library were searched, resulting in the final inclusion of seven records. Prevalences for the representation of mental illness ranged from 12 to 24%. Findings indicate that video games’ portrayal of mental illness is predominantly stigmatizing and negatively connoted. Mental illness frequently serves as a reason for violent behavior and is portrayed in line with paranormal experiences. Yet, some games portray mental illness in a more neutral way, using game mechanics to elicit empathy. While this review emphasizes the need for non-stigmatizing depiction, potentially through the inclusion of experts in the development process, future research should examine how much consumers are affected by the negative or positive portrayal of mental illnesses in video games.

The role of non-fermenting gram-negative bacteria Stenotrophomonas maltophilia in the etiology of infectious diseases (review)

Gram-negative bacteria Stenotrophomonas maltophilia rank third among non-fermenting gram-negative bacteria in terms of detection frequency in various infectious pathologies. This review presents information on the various virulence factors, mechanisms used by S. maltophilia for colonization and infection of the human body, multiple drug resistance, clinical manifestations of the diseases caused, and methods of bacteriological diagnosis. The importance of early identification of this pathogen for practicing physicians is emphasized. The selection of treatment for infections caused by S. maltophilia is discussed, highlighting the challenges faced by both clinicians and microbiologists. To this end, current domestic and international scientific publications were reviewed using scientific electronic library search engines such as PubMed, Google Scholar, eLIBRARY.ru, and CyberLeninka.

The Efficacy of Manual Therapy on Musculoskeletal Pain in Menopause: A Systematic Review.

(1) Background: The aim of this review was to evaluate the effects of manual therapy for musculoskeletal pain in menopausal women. (2) Methods: A comprehensive search of manuscripts published from inception until 29 February 2024 was conducted on PubMed, EBSCO Information Services (EBSCOhost), Physiotherapy Evidence Database (Pedro), Web of Science, Scientific Electronic Library Online (SciELO), Cochrane Central Register of Controlled Clinical Trials, and Scopus using Medical Subject Headings (MeSH) and free terms. Randomized controlled trials (RCT) investigating the effects of manual therapy for musculoskeletal pain in postmenopausal women were included. Articles published in non-English or non-Portuguese languages, case reports, expert opinions, dissertations, conference papers, and gray literature were excluded. Studies were screened for population, musculoskeletal pain, intervention, and pain outcome by two independent reviewers using an ad hoc data extraction form. (3) Results: A total of 5 RCTs (4 with high risk of bias and 1 with low risk of bias) were included (total sample = 245), addressing thumb carpometacarpal osteoarthritis, thoracic kyphosis, chronic neck and backache, knee osteoarthritis, and sternocostal joint pain. The combined results of these studies showed improved musculoskeletal pain in menopausal women; duration of the follow-up was between 4 weeks to 6 months. Conclusions: The majority of studies included in this systematic review were effective in reducing musculoskeletal pain in menopausal women. These results come mainly from studies with a high risk of bias with small sample sizes, and the most representative follow-up period was short-term. Therefore, the results of this systematic review should be interpreted with caution.

Fragments in Cyberspace: The Ohio State University’s Digital Collection of Medieval and Renaissance Manuscript Fragments

Making pre-modern European manuscript fragment collections accessible to students and researchers virtually is essential due to the nature of book-breaking and the for-profit manuscript fragments trade, which has led many fragments to traverse large distances. However, effectively conveying information on these context-dependent materials presents various challenges. This article chronicles efforts to digitize, describe, and structure materials in Ohio State University Libraries’ (OSUL) Medieval and Renaissance Manuscript Fragments Collection to make the collection accessible to researchers virtually through OSUL’s Digital Collections platform and the Digital Public Library of America (DPLA). Records in this collection use a customized set of Dublin Core metadata elements and have a parent-child record structure to illustrate relationships between fragment leaves. Primary challenges included establishing intellectual control of the materials, implementing consistent access points for contributors, and conveying approximate information, such as the date of production. Contributing to DPLA, limitations, and next steps are also discussed.

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.

Monitoring free-living physical activity (PA) through wearable devices enables the real-time assessment of activity features associated with health outcomes and provision of treatment recommendations and adjustments. The conclusions of studies on PA and health depend crucially on reliable statistical analyses of digital data. Data analytics, however, are challenging due to the various metrics adopted for measuring PA, different aims of studies, and complex temporal variations within variables. The application, interpretation, and appropriateness of these analytical tools have yet to be summarized. This research aimed to review studies that used analytical methods for analyzing PA monitored by accelerometers. Specifically, this review addressed three questions: (1) What metrics are used to describe an individual's free-living daily PA? (2) What are the current analytical tools for analyzing PA data, particularly under the aims of classification, association with health outcomes, and prediction of health events? and (3) What challenges exist in the analyses, and what recommendations for future research are suggested regarding the use of statistical methods in various research tasks? This scoping review was conducted following an existing framework to map research studies by exploring the information about PA. Three databases, PubMed, IEEE Xplore, and the ACM Digital Library, were searched in February 2024 to identify related publications. Eligible articles were classification, association, or prediction studies involving human PA monitored through wearable accelerometers. After screening 1312 articles, 428 (32.62%) eligible studies were identified and categorized into at least 1 of the following 3 thematic categories: classification (75/428, 17.5%), association (342/428, 79.9%), and prediction (32/428, 7.5%). Most articles (414/428, 96.7%) derived PA variables from 3D acceleration, rather than 1D acceleration. All eligible articles (428/428, 100%) considered PA metrics represented in the time domain, while a small fraction (16/428, 3.7%) also considered PA metrics in the frequency domain. The number of studies evaluating the influence of PA on health conditions has increased greatly. Among the studies in our review, regression-type models were the most prevalent (373/428, 87.1%). The machine learning approach for classification research is also gaining popularity (32/75, 43%). In addition to summary statistics of PA, several recent studies used tools to incorporate PA trajectories and account for temporal patterns, including longitudinal data analysis with repeated PA measurements and functional data analysis with PA as a continuum for time-varying association (68/428, 15.9%). Summary metrics can quickly provide descriptions of the strength, frequency, and duration of individuals' overall PA. When the distribution and profile of PA need to be evaluated or detected, considering PA metrics as longitudinal or functional data can provide detailed information and improve the understanding of the role PA plays in health. Depending on the research goal, appropriate analytical tools can ensure the reliability of the scientific findings.

Using Immersive Planning Tools to Reimagine Virtual Libraries

Immersive technologies (e.g., Virtual Reality) can both reproduce existing spaces or help bring imagination to life. When considered in relation to the needs of the users, these technologies can facilitate rewarding experiences that encourage repeated usage. However, poorly motivated experiences may result in expensive mistakes. One rewarding experience has been through the creation of immersive sound planning tools to help Professionals of the Built Environment (e.g. urban plannersand designers) consider sound in their work (Yanaky et al., 2023). Using a user-centered design process, we developed a Virtual Reality planning tool, City Ditty. A first evaluation indicated that users, regardless of their experience, could complete both a sound-awareness learning phase and implement their own soundscape designs in under an hour. Feedback was positive, suggesting value for its use in public consultations and participatory approaches towards creating healthier, inclusive, and sustainable communities. Could City Ditty be used to help rethink and prototype new forms of virtual libraries? Libraries host a wealth of information and contribute community space. They also act as community hubs for classes, games, storytelling, community events, etc. Yet, digitally reproducing a navigable 3D library space without consideration for the medium will reproduce the inconveniences of existing spaces, while failing to take advantage of the new medium. Could similar methodologies help engage library users to conceptualize together the future of virtual libraries? How might different users want to utilize immersive virtual libraries? We place this discussion in the context of a hype cycle for emerging technologies to understand potential timelines for change.

Insights from ARCOS-V’s Transition to Remote Data Collection during the COVID-19 Pandemic: A Descriptive Study

Introduction: The ARCOS-V study, an epidemiological study on stroke and transient ischaemic attack (TIA), faced the challenge of continuing data collection amidst the COVID-19 pandemic. This study aimed to describe the methodological changes and challenges encountered during the transition from paper-based methods to digital data collection for the ARCOS-V study and to provide insights into the potential of using digital tools to transform epidemiological research. Methods: The study adapted to remote data collection using REDCap and Zoom, involving daily health record reviews, direct data entry by trained researchers, and remote follow-up assessments. The process was secured with encryption and role-based access controls. The transition period was analysed to evaluate the effectiveness and challenges of the new approach. Results: The digital transition allowed for uninterrupted monitoring of stroke and TIA cases during lockdowns. Using REDCap and Zoom improved data reach, accuracy, and security. However, it also revealed issues such as the potential for systematic data entry errors and the need for robust security measures to protect sensitive health information. Conclusion: The ARCOS-V study’s digital transformation exemplifies the resilience of epidemiological research in the face of a global crisis. The successful adaptation to digital data collection methods highlights the potential benefits of such tools, particularly as we enter a new age of artificial intelligence (AI).

DrugSynthMC: An Atom-Based Generation of Drug-like Molecules with Monte Carlo Search.

A growing number of deep learning (DL) methodologies have recently been developed to design novel compounds and expand the chemical space within virtual libraries. Most of these neural network approaches design molecules to specifically bind a target based on its structural information and/or knowledge of previously identified binders. Fewer attempts have been made to develop approaches for de novo design of virtual libraries, as synthesizability of generated molecules remains a challenge. In this work, we developed a new Monte Carlo Search (MCS) algorithm, DrugSynthMC (Drug Synthesis using Monte Carlo), in conjunction with DL and statistical-based priors to generate thousands of interpretable chemical structures and novel drug-like molecules per second. DrugSynthMC produces drug-like compounds using an atom-based search model that builds molecules as SMILES, character by character. Designed molecules follow Lipinski's "rule of 5″, show a high proportion of highly water-soluble nontoxic predicted-to-be synthesizable compounds, and efficiently expand the chemical space within the libraries, without reliance on training data sets, synthesizability metrics, or enforcing during SMILES generation. Our approach can function with or without an underlying neural network and is thus easily explainable and versatile. This ease in drug-like molecule generation allows for future integration of score functions aimed at different target- or job-oriented goals. Thus, DrugSynthMC is expected to enable the functional assessment of large compound libraries covering an extensive novel chemical space, overcoming the limitations of existing drug collections. The software is available at https://github.com/RoucairolMilo/DrugSynthMC.

Artificial intelligence, machine learning and GIS in environmental engineering: current trends

The use of computational tools, such as Artificial Intelligence, Machine Learning or Geographic Information Systems, has had a significant impact on the knowledge generated on environmental issues in recent years. The number of publications shown in this preliminary review of the IEEE Xplore Digital Library database shows its broad applicability and scientific relevance. Search filters and keywords such as water, air, soil, climate change, energy and waste were used. The data obtained was processed to visualize the proportion of use in key topics of environmental interest, giving scientific guidance towards the sites of greatest applicability, as well as towards areas that deserve to be reinforced. In this way, this work aims to promote the development of collaborative work solutions in the related areas of environmental and computational engineering.

Association between serum alkaline phosphatase and clinical prognosis in patients with acute liver failure following cardiac arrest: a retrospective cohort study

BackgroundAcute liver failure (ALF) following cardiac arrest (CA) poses a significant healthcare challenge, characterized by high morbidity and mortality rates. This study aims to assess the correlation between serum alkaline phosphatase (ALP) levels and poor outcomes in patients with ALF following CA.MethodsA retrospective analysis was conducted utilizing data from the Dryad digital repository. The primary outcomes examined were intensive care unit (ICU) mortality, hospital mortality, and unfavorable neurological outcome. Multivariable logistic regression analysis was employed to assess the relationship between serum ALP levels and clinical prognosis. The predictive value was evaluated using receiver operator characteristic (ROC) curve analysis. Two prediction models were developed, and model comparison was performed using the likelihood ratio test (LRT) and the Akaike Information Criterion (AIC).ResultsA total of 194 patients were included in the analysis (72.2% male). Multivariate logistic regression analysis revealed that a one-standard deviation increase of ln-transformed ALP were independently associated with poorer prognosis: ICU mortality (odds ratios (OR) = 2.49, 95% confidence interval (CI) 1.31–4.74, P = 0.005), hospital mortality (OR = 2.21, 95% CI 1.18–4.16, P = 0.014), and unfavorable neurological outcome (OR = 2.40, 95% CI 1.25–4.60, P = 0.009). The area under the ROC curve for clinical prognosis was 0.644, 0.642, and 0.639, respectively. Additionally, LRT analyses indicated that the ALP-combined model exhibited better predictive efficacy than the model without ALP.ConclusionsElevated serum ALP levels upon admission were significantly associated with poorer prognosis of ALF following CA, suggesting its potential as a valuable marker for predicting prognosis in this patient population.

Whale Collections and Exhibitions at the Natural History Museum of the University of Pisa (Italy)

The Natural History Museum of the University of Pisa hosts the most important osteological collection of extant cetaceans in Italy as well as one of the most relevant all over Europe. Furthermore, it also preserves a significant palaeontological collection that includes several holotypes and otherwise unique specimens of Archaeoceti (archaic cetaceans), Mysticeti (baleen whales) and Odontoceti (toothed whales). Here, we provide a historical overview of these collections and the corresponding displays, with special attention paid to the origin, development and design of the ‘Archaeocete Hall’ and ‘Cetacean Gallery’. These comprise what may be the largest exhibition worldwide among those dedicated exclusively to cetaceans—one that includes 28 complete skeletons and one skull belonging to 27 extant species as well as fossils of nine extinct species. Our review also reveals that the museum exhibitions feature the oldest known specimen of Mesoplodon bowdoini and the type specimen of Ziphius savi, the latter being a validly described species that is currently regarded as a junior synonym of Ziphius cavirostris. Also significant is the display of several holotype specimens of fossil species such as the protocetid archaeocete Aegyptocetus tarfa, the balaenid baleen whales Balaena montalionis and Balaenula astensis, and the monodontid Casatia thermophila. The Archaeocete Hall and Cetacean Gallery are highly appreciated by visitors as well as perused by the museum’s educational team. The online archiving of 3D models of many of the MSNUP specimens on the open-access digital repository Sketchfab and their subsequent dissemination through the Wikimedia platforms has led to the creation of a major osteological resource—one that is broadly accessible to internet users worldwide.

Investigating the Devices that Measure and Improve Grip Strength Through Telerehabilitation: A Scoping Review

Introduction: Grip strength is a vital hand function skill required to perform everyday tasks. Diseases and conditions deteriorate grip strength. Repetitive exercises can improve grip strength, but people are non-compliant with home exercise programs. Gamification of exercises can increase home exercise compliance. A device is needed to measure and rehabilitate grip strength and to deliver exercises remotely. A preliminary search on that topic did not provide any review literature on grip-strength devices. Accordingly, this scoping literature review (SLR) explores various electronic devices and sensors used to measure grip strength. Materials and Methods: Five electronic databases, namely PubMed, IEEE, Scopus, ACM digital library, and Web of Science, were searched. Modified preferred reporting items for systematic literature review and meta-analysis guidelines were used, with population/disease, intervention, comparison, and outcome framework employed to identify keywords and frame the research questions. Results: The results of the search yielded 3546 articles, and after elimination, 15 articles met the inclusion criteria for this review. Hence, this review has categorized various devices and sensors that measured grip strength, along with their wireless communication and gamification capabilities. Conclusion: The categorization presented in this review can help researchers use this information for future directions by emphasizing research gaps and designing telerehabilitation devices.

Security authentication scheme based on chebyshev chaotic mapping for library network

With the rapid advancement of information technology, the security of digital libraries, as critical platforms for modern knowledge dissemination, has become increasingly significant. User identity authentication in digital libraries is pivotal to ensuring system security. Traditional authentication methods often have security vulnerabilities and cannot effectively prevent unauthorized access. Therefore, this paper proposes a security authentication scheme based on chebyshev chaotic mapping for library. It addresses security issues in identity authentication in digital libraries. The proposed scheme integrates smart card, password and biometric factor, leveraging the chebyshev chaotic mapping algorithm to achieve stringent user authentication and generate secure session keys, thereby effectively countering security threats. Additionally, the scheme employs physical unclonable function (PUF) to enhance the protection of stored confidential data. The security of this scheme is rigorously analyzed using the Scyther. Security analysis and performance experiments indicate that the scheme not only ensures security but also optimizes authentication efficiency.