Web Information Research Articles

Revolutionising Anatomy Education: The Current Role of Digital Technologies in Enhancing Anatomy Learning for Undergraduate Medical Students.

Anatomy education, which forms the cornerstone of today's medical education, has traditionally centered on cadaveric dissections and prosections as its core teaching methods. However, these methods present with challenges, including student anxiety, nausea, and limited cadaver availability. Recent advancements in digital technologies have led to the proliferation of innovative learning tools, introducing novel and transformative approaches to enhance anatomy education. While numerous studies explore the potential applications of innovative technologies in anatomy education, few studies have examined their current application in anatomy teaching for undergraduate medical students. This gap in the literature is significant, as understanding the usability and acceptance of digital tools in anatomy teaching is crucial for ensuring that students receive high-quality education. To address this, a comprehensive review was undertaken to explore the breadth of research activity in this field, exploring the integration of digital technologies in anatomy teaching. This review aimed to address the research question: "How are digital technologies currently being used in the delivery of anatomy teaching in undergraduate medical education?". A systematic search was performed across multiple databases including PubMed, MEDLINE, Education Resources Information Center (ERIC), Embase, Scopus, and Web of Science, with studies screened using Covidence (Veritas Health Innovation, Melbourne, Australia), a web-based software platform. Eligible studies were systematically reviewed and data extracted and organised, with findings presented graphically, accompanied by descriptive narratives. Our findings indicate that while innovative digital tools are increasingly being adopted, many medical schools continue to rely predominantly on traditional cadaver-based methods for anatomy teaching. Only a limited number of institutions have fully integrated digital technologies into their teaching practices. Additionally, traditional approaches, such as cadaveric dissections and prosections, remain the preferred choice among students for learning anatomy. A commonly reported limitation of digital tools is their difficulty in effectively conveying spatial relationships between anatomical structures, a critical component in anatomy learning. Despite this, recent studies have revealed that students and educators increasingly value multimodal approaches that combine traditional cadaver-based teaching methods with digital tools to enhance anatomy learning. This review provides valuable insights into how digital technology is currently being utilised in anatomy teaching for undergraduate medical students. We found that while various innovative pedagogical approaches have been adopted in anatomy teaching, traditional methods such as cadaveric dissections and prosections remain the most preferred by students. While digital technology is increasingly being used to complement anatomical education, modern anatomy teaching currently adopts an integrated and multimodal approach, utilising various pedagogical methods to enhance anatomy learning. It is therefore essential that educators recognise that no single pedagogical approach suits all students and a combination of various modalities is often required to meet diverse learning needs in anatomy teaching.

ON THE ISSUE OF THE LEGAL STATUS OF THE OPERATOR OF THE «UNIFIED REGISTER OF INTERNET ADVERTISING» AS AN ORGANISATION EXERCISING CERTAIN STATE POWERS

In the article, the author points out the problem of the lack of not only legal consolidation, but also a clear understanding of the mechanism of vertical delegation of certain state powers to non-governmental organisations in terms of functioning of a unified information system for advertising accounting in the information and telecommunications world wide web “Internet”. The study found that such a transfer of powers by the Russian communication regulator “Roskomnadzor” to commercial organisations is designed to increase the effectiveness of advertising campaigns and limit illegitimate schemes related to tax evasion. The description of the legal status of the operator of the Unified Register of Internet Advertising is given. In this regard, it is concluded that the status of such an operator has significant similarities with the position of an entity performing publicly significant functions, due to the presence of special legal capacity. In addition, it is assumed that the acquisition of such a status by a non-governmental organisation is carried out by issuing an appropriate order by an authorised state body without concluding a contract to be concluded in order to detail the procedure for exercising the transferred individual state powers, including clarifying the amount of financing and responsibility for improper performance of the contract.

A Study on the Awareness and Utilization of Web and Mobile-enabled Library and Information Services among the Faculty Members, Researchers, and Students of PES University, Bengaluru-

A Study on the Awareness and Utilization of Web and Mobile-enabled Library and Information Services among the Faculty Members, Researchers, and Students of PES University, Bengaluru-

Development of an Inspection, Maintenance and Rehabilitation System for Bridge Infrastructures Using Integrated Building Information Modeling, Web Server and QR-Code Technologies: A Case Study of Sadr Bridge

Development of an Inspection, Maintenance and Rehabilitation System for Bridge Infrastructures Using Integrated Building Information Modeling, Web Server and QR-Code Technologies: A Case Study of Sadr Bridge

An exploration of undergraduate health science students’ experiences of blended learning andragogy: A rapid review

Introduction: Blended learning is defined as the combined use of in-person and online learning, through interactive multimedia and face-to-face engagement with curriculum content. Recently, higher education institutions have experienced major inevitable changes in teaching and learning approaches, sparking interest in the exploration of these approaches- including blended learning. Aim: To explore undergraduate health sciences students’ experiences of blended learning. Method: A rapid review of articles published in English was conducted between 18th-22nd February 2022 using the following databases: Pubmed, Ebscohost, Web of Science, Scopus, Africawide Information and CINAHL. Articles found were exported to Endnote, version 20.2.1. The Preferred Reporting Items for Systematic Reviews and Meta-analysis flow chart was used to document the search. The Critical Appraisal Skills Programme was used to appraise the articles, which were analysed using thematic analysis. Findings: Eight quantitative articles were analysed and categorised on the hierarchy of evidence. Three themes emerged: 1. Student engagement and perceptions of blended learning, 2. Student academic performance, and 3. Challenges of blended learning. Conclusion: Positive experiences of blended learning were reported, including: significant improvement of student academic performance, higher levels of satisfaction and an increased student engagement. Ineffective online learning platforms and/or technological devices resulted in students experiencing anxiety and frustration. Implications for practice Blended learning may be a feasible option to maintain and enhance students learning experience. Students’ academic performance could improve with blended learning Blended learning could increase students’ engagement within the andragogical field.

Top 50 Most Cited Articles in Transplant Dermatology: A Bibliometric Analysis.

Solid organ transplant recipients are at high risk for developing skin malignancies due to prolonged immunosuppression. The field of transplant dermatology (TD) has experienced a surge in research and clinical advancements, yet there is no quantitative evaluation estimating the impact of TD literature. Identify and characterize the most frequently cited TD articles. Institute For Scientific Information Web of Science was used to identify the 50 most cited research articles in TD. Results were reviewed by 3 independent authors. A network analysis was performed to assess collaboration patterns among coauthors. Top articles held a combined total of 12,114 citations. The top-cited article was "Cancer incidence before and after kidney transplantation," by Vajdic and colleagues in the Journal of the American Medical Association (2006) with 872 citations. A total of 22 countries and 221 institutions were represented. This bibliometric analysis offers a detailed overview of the most cited manuscripts in TD and illustrates the discoveries steering TD research and practice.

Beyond COVID-19 business transformational opportunities: Develop e-satisfaction for predicting repeat purchase behavior based on “goodwill e-trust” ; Case of South Korean SMEs

The increasing prevalence of e-commerce has transformed online shopping into one of the most favored methods for consumers. This study investigates the factors influencing initial e-trust formation toward e-commerce adoption, focusing on information quality, web interface, and company reputation. It aims to assess how e-trust affects customer satisfaction and the sustained use of e-commerce, and explores the moderating role of perceived privacy concerns. Utilizing a randomized distribution of questionnaires among 236 participants, and employing a seven-point Likert scale, the study gathered data both online and offline.Statistical analyses using SPSS AMOS confirmed the acceptance of all proposed hypotheses. The findings reveal that e-trust, grounded in goodwill-trust theory, significantly influences trust and satisfaction, thereby enhancing future purchase intentions and positively affecting online shopping behavior. The study demonstrates that understanding and addressing the antecedents of e-trust is crucial for fostering consumer satisfaction and promoting continued e-commerce adoption.Notably, Post-COVID-19 consumers showed a decrease in privacy concerns compared to Pre-COVID-19, indicating reduced fear and apprehension associated with online shopping. This reduction in privacy concerns is linked to an increased likelihood of repurchase behavior. Theoretical implications suggest that the research provides valuable insights for small and medium-sized enterprises (SMEs), helping them enhance customer trust and satisfaction, thus gaining a competitive edge over larger e-commerce firms. The findings underscore the long-term impact of e-trust on consumer adoption in the globalized e-commerce landscape.

Weak dangling block reordering and multi-step block compression for efficiently computing and updating PageRank solutions

The PageRank model is a powerful tool for network analysis, utilized across various disciplines such as web information retrieval, bioinformatics, community detection, and graph neural network. Computing this model requires solving a large-dimensional linear system or eigenvector problem due to the ever-increasing scale of networks. Conventional preconditioners and iterative methods for general linear systems or eigenvector problems often exhibit unsatisfactory performance for such problems, particularly as the damping factor parameter approaches 1, necessitating the development of specialized methods that exploit the specific properties of the PageRank coefficient matrix. Additionally, in practical applications, the optimal settings of the hyperparameters are generally unknown in advance, and networks often evolve over time. Consequently, recomputation of the problem is necessary following minor modifications. In this scenario, highly efficient preconditioners that significantly accelerate the iterative solution at a low memory cost are desirable. In this paper, we present two techniques that leverage the sparsity structures and numerical properties of the PageRank system, as well as a preconditioner based on the computed matrix structure. Experiments demonstrate the positive performance of the proposed methods on realistic PageRank computations.

Carbohydrate Counting: A Bibliometric Analysis with a Focus on Research.

Diabetes is a metabolic disease characterized by hyperglycemia due to impaired insulin secretion, activity, or both. Carbohydrate counting, known for optimal metabolic control, plays in the therapeutic strategy in diabetes. In the last decade, an increasing amount of research has been conducted on carbohydrate counting, and the literature on this topic has been published in academic journals. This bibliometric analysis aimed to comprehensively review and analyze publications from this period, shedding light on trends, developments, and key contributors. The Expanded Science Citation Index published by the Institute for Scientific Information Web of Science, which covers English-language articles published from 1993 to 2024, was used. We selected "carbohydrate counting", "carbohydrate count", "carbohydrate counts", "carbohydrate counts", and similar words as "TOPIC" to search for related articles. All basic information about each article were collected, including authors, countries, citations, and keywords. The findings emphasized the need for continued research in this area and to learn more about studies showing the relationship between carbohydrate counting and the pathophysiology of diabetes, treatment, complications, and technologies. This analysis summarizes the general trends and key findings of research on carbohydrate counting over the past years and provides guidance for future research.

Designing the Presentation of Hyperlinks to Reduce Overload in Online Health Information

This talk will present the results of a completed crowdsourced study with 82 participants. The study was guided by the question: how does the visual saliency of hyperlinks on a health information web page influence perceived information overload, emotional reactions, and task performance? Results indicate that different modes of presenting a high volume of hyperlinks can influence the experience of information overload.

P156 HYPERTENSIVES USERS OF A HEALTH WEB PORTAL

Background and objective: In Canada, approximately 1 in 4 adults live with high blood pressure. These people, concerned about their health, often turn to health information Web portals. To meet this need for information, Quebec Society of Vascular Sciences (QSVS) du Québec has created a web portal (www.yourvascularhealth.ca). However, limited data is available to describe the characteristics and motivations of hypertensive users of these websites. Method In this multicenter study, participants had to be ≥18 years old, hypertensive and able to use digital tools. They were approached by collaborating physicians (n=30) during routine consultations. An anonymous, validated electronic questionnaire assessed socio-demographic variables, digital competence, and motivations for using a health website. Adapted Technology Acceptance Model III was used as a framework. Results: Forty-three participants were recruited mean age of 70.3 ± 10.5 years, 67% male, 33% had achieved a university level of education. For health behaviors, less than 30% attained the 150 weekly minutes of exercise promoted in Canada while a less than half (44%) say that they eat according to DASH guidelines. The vast majority don’t smoke (67%) and drink less than once a month (86%). Preliminary analysis show that most participants (84%) use search engine. When questioned (on a Likert scale 1 to 7) about the portal, they perceived it was useful (6.0 ± 1.1), easy to use (5.4 ± 1.2) and expressed the intention of using the portal again (5.7 ± 1.5). When motivation was assessed; autonomous motivation was highest (5.83 ± 0.99) followed by amotivation (3.83 ± 1.35) and controlled motivation (3.13 ± 1.39). Conclusion: Patients with hypertension are consulting websites to obtain more information and this even later in life. It is our responsibility to provide websites that are designed for this population and scientifically based. This study will contribute to a better characterization of health website users and may guide the development and dissemination of health websites.

Optimizing Data Extraction using Preprocessing for Enhanced Efficiency

With the exponential growth of the internet, an abundance of information has become readily available. Extracting valuable data from the web is crucial for applications such as meta-querying and comparison shopping. However, the heterogeneous nature of web information poses a significant challenge to the extraction process. The web can be classified into the surface or visible web and the deep or invisible web. While conventional search engines can index the surface web, they fall short when it comes to the deep web. To access the deep web, users must submit queries to web databases, and the results are encapsulated in dynamically generated web pages containing data records. Traditional search engines struggle to index these dynamic pages, necessitating a specialized program for efficient information extraction from the deep web. Web search engines generate result pages based on user queries, making it crucial to automatically extract data from these pages for various applications. In this context, we propose an innovative data extraction method called Effective Data Extraction using Preprocessing (EDEP). The EDEP approach begins by parsing the input HTML page, constructing a tag tree, and subsequently eliminating irrelevant tags from the tree. Notably, our system efficiently handles scenarios where auxiliary information, such as recommendations or comments, is intermixed between query result records (QRRs), causing them to be non-contiguous. EDEP also effectively manages result pages containing single QRRs. Through experimental results, it is evident that EDEP outperforms existing data extraction methods, showcasing its efficacy in handling the complexities associated with web data extraction.

High-resolution operational soil moisture monitoring for forests in central Germany

Abstract. The forests of central Germany (Saxony, Saxony-Anhalt, and Thuringia) are vital components of the local ecosystems, the economy, and recreation. However, in recent years, these forests have faced significant challenges due to prolonged climate-change-induced droughts, causing water shortages, tree stress, and pest outbreaks. One of the key components of the forests' vitality and productivity is the availability of soil moisture. Given the anticipated increase in the frequency and severity of drought events, there is a growing demand for accurate and real-time soil moisture information. This underscores the need for development of an appropriate monitoring tool to make forest management strategies more effective. The article introduces an operational high-resolution soil moisture monitoring framework for the forests in central Germany. The key components of this system include the advanced LWF-BROOK90 1D water balance model, a large database of the National Federal Forest Inventory, high-resolution forest soil maps, real-time climate data from the German Meteorological Service, and a web information platform for the presentation of daily updated results. This system informs the public and empowers forest managers and other decision-makers to take targeted, local measures for sustainable forest management, aiding in both drought mitigation and long-term forest health in the face of climate change. The validation of the system using soil moisture measurements from 51 stations with various sensor depths (up to 100 cm) showed an overall good agreement (0.76 median Pearson correlation), which was found to be higher for deciduous rather than coniferous forests. Finally, the framework is discussed against the background of the main limitations of existing monitoring systems and how operational soil moisture measurements contribute to better interpretation of simulations.

IMPLEMENTASI LANDBOT SEBAGAI PENGHUBUNG DIALOGFLOW NLP DENGAN WEB INFORMASI KEPADA CIVITAS AKADEMIK

Currently, many universities have adopted web information systems to disseminate information. However, students and prospective students often encounter challenges such as systems providing general information, difficulty in finding lecture-related information, and the need for administrative units or contacts to address issues faced by new students, both during and outside office hours. Therefore, this prototype chatbot research utilizes the Dialogflow and Landbot platforms to address these challenges and facilitate academic communities in accessing information. The development stages of this chatbot application include needs analysis, design, prototyping, evaluation, and application release. The method that use in creating the chatbot is Natural Language Processing (NLP). The knowledge provision process in this chatbot cover data related to the required information. Which is embedded in Dialogflow and Landbot aims to enhance the understanding of context and the meaning of questions. Additionally, machine learning model training is used to improve Landbot's natural language processing skills. The testing results indicate that the application operates flawlessly, demonstrating the chatbot's ability to answer questions and recognize previously provided knowledge accurately.

Social participation classification and activities in association with health outcomes among older adults: Results from a scoping review.

The aim of this study is to summarize the characteristics of social participation classification and examine the association between activities and health outcomes among older adults. Scoping review. Eight databases (Cumulative Index to Nursing and Allied Health Literature, The Cochrane Library, Embase, ProQuest, Psychological Information Database, PubMed, Scopus and Web of Science) were searched. Reference lists of relevant social participation reviews were also considered. This study applied a five-stage methodological framework. A narrative synthesis summarized social participation classification and activities and their associations with health outcomes among older adults (≥65 years) living at home, in the community or in nursing residences. Forty-two articles published between 1975 and 2022 were selected. Four classification criteria of social participation were extracted and summarized from these studies. Based on the depth and breadth of social interactions, this review proposed a four-level classification schema. A lower risk of mortality and less visual impairment were associated with participation in level-one, level-three or level-four activities, whereas less depression, less pain and better cognitive function were linked to participation in level-three or level-four activities. Future studies should provide a clear definition, establish classification criteria for participation and properly select activity forms while considering both subjective and objective dimensions. The results could provide data for designing targeted social participation interventions to improve specific health outcomes among older adults. This review could help researchers examine the role of social participation activities in specific health outcomes. Moreover, a proposed classification of social participation activities would benefit researchers and community nurses in discerning the similarities and differences among activities. This study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Extension for Scoping Reviews guideline. No patient or public contribution.

Readability of Patient-Facing Information of Antibiotics Used in the WHO Short 6-Month and 9-Month All Oral Treatment for Drug-Resistant Tuberculosis

ObjectivesReadability of patient-facing information of oral antibiotics detailed in the WHO all oral short (6 months, 9 months) has not been described to date. The aim of this study was therefore to examine (i) how readable patient-facing TB antibiotic information is compared to readability reference standards and (ii) if there are differences in readability between high-incidence countries versus low-incidence countries.MethodsTen antibiotics, including bedaquiline, clofazimine, ethambutol, ethionamide, isoniazid, levofloxacin, linezolid, moxifloxacin, pretomanid, pyrazinamide, were investigated. TB antibiotic information sources were examined, consisting of 85 Patient Information Leaflets (PILs) and 40 antibiotic web resouces. Of these 85 PILs, 72 were taken from the National Medicines Regulator from six countries (3 TB high-incidence [Rwanda, Malaysia, South Africa] + 3 TB low-incidence [UK, Ireland, Malta] countries). Readability data was grouped into three categories, including (i) high TB-incidence countries (n = 33 information sources), (ii) low TB-incidence countries (n = 39 information sources) and (iii) web information (n = 53). Readability was calculated using Readable software, to obtain four readability scores [(i) Flesch Reading Ease (FRE), (ii) Flesch-Kincaid Grade Level (FKGL), (iii) Gunning Fog Index and (iv) SMOG Index], as well as two text metrics [words/sentence, syllables/word].ResultsMean readability scores of patient-facing TB antibiotic information for FRE and FKGL, were 47.4 ± 12.6 (sd) (target ≥ 60) and 9.2 ± 2.0 (target ≤ 8.0), respectively. There was no significant difference in readability between low incidence countries and web resources, but there was significantly poorer readability associated with PILs from high incidence countries versus low incidence countries (FRE; p = 0.0056: FKGL; p = 0.0095).ConclusionsReadability of TB antibiotic PILs is poor. Improving readability of PILs should be an important objective when preparing patient-facing written materials, thereby improving patient health/treatment literacy.

Encryption of URL Address (Uniform Resource Locator) on PHP Web Base with MD5 Algorithm

The problem of an information (web base) is the security of the database displayed by the website manager. A common problem that is often encountered in information systems is how to make data displayed publicly have secure access without having to destroy the data in the web base system itself. A cryptographic system or often called a cipher is a system or collection of rules used to perform encryption and decryption. There are two kinds of cryptographic systems, namely secret key cryptographic systems or often referred to as symmetric cryptographic systems and public key cryptographic systems or often referred to as asymmetric cryptographic systems. MD5 is a one-way hash function created by Ron Rivest. MD5 is an improvement over MD4 after MD4 was successfully attacked by cryptanalysts. The MD5 algorithm takes as input a message of arbitrary size and produces a message digest that is 128 bits long.

Intelligent Chinese Typesetting Model Based on Information Importance Can Enhance Text Readability

In today’s era of information overload, efficiently extracting valuable information from a large volume of textual data has become a crucial challenge in reading. This study aimed to explore the enhancement of Chinese readability in the digital domain through intelligent typesetting method. This study involved two experiments. The purpose of the first experiment was to achieve the machine learning-based assessment of the importance of individual words in Chinese articles and to automate typesetting based on the importance of words. For the second experiment, readability tests and eye-tracking reading tests were performed and the reading performance and reading attention between intelligent typesetting and general typesetting style was compared. This work proposed three Chinese typesetting methods that distinguished the importance of Chinese text information, based on font size and color. The results showed that first, when reading Chinese text, visual attention was more likely to be drawn to larger font sizes, darker brightness, or warmer-colored characters. Second, intelligent Chinese typography that distinguishes information importance through font size, color brightness, and color hue can enhance Chinese reading comprehension accuracy and subjective evaluation. It was concluded that using the TextRank model to distinguish importance of Chinese vocabulary and intelligent typesetting methods based on visual features of font could obviously improve text readability. Specifically, readability achieved through intelligent typesetting method distinguishing information importance through font color brightness surpasses that of general typesetting significantly. These intelligent typesetting methods can be widely applied in Chinese reading scenarios, such as web pages, e-books, information visualization, and other Chinese reading contexts.

The effectiveness of faculty development programs for training university professors in the health area: a systematic review and meta-analysis

SummaryBackgroundThe growing discussion on teacher development focuses on diversified educational skills that promote knowledge and innovation in the teaching, learning and assessment process. With the Covid-19 scenario, this picture of necessary changes has become more evident, demonstrating the need for professional preparation to work in teacher development. The aim of the study was to analyze the effectiveness of teacher development programs for the training of university teachers in the health area, through a systematic review and meta-analysis.MethodsThe systematic review and meta-analysis were carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and involved searching five databases - PubMed-Medline, Education Resource Information Center (ERIC), SCOPUS, Embase and Web of Science. The review included randomized clinical trials and cohort studies that addressed the effectiveness of teaching professionalization in the health area for university professors. The quality of the selected studies was assessed based on the evaluation criteria of the Joanna Briggs Institute tool. The random effects meta-analysis method was used to explain the distribution of effects between the studies, using Stata® software (version 11.0) and publication bias was examined by visual inspection of the graphs and Egger's test.ResultsWe included 12 studies in the systematic review and 8 in the meta-analysis. These studies were published between 1984 and 2022 in 14 countries. Significant changes were reported in teachers' behavior to stimulate and encourage students, improvement in the quality of teaching and teaching staff, as well as improvement in skills such as leadership and self-evaluation. Furthermore, the result of the meta-analysis showed that there is evidence of the effectiveness of the positive effects of teacher development programs after their implementation, with this effect being 1.70% and an increase of 4.75 in the effect of these teacher development programs.ConclusionOur study shows that development programs have been implemented in different countries and contexts, all of which have proven to be effective in the short, medium and long term. We recommend that future research focus specifically on the different competencies that have been acquired following the implementation of these programs.

The Carbon Footprint of Spanish University Websites

The consumption of digital content is essential for economic and scientific development, leading to a high dependence on information and communication technologies, which significantly impacts the environment. Quantifying this ecological impact is challenging due to its intangible nature and the diversity of factors. This research focuses on assessing the energy consumption and CO2 production of Spanish university websites to evaluate their levels of digital pollution and environmental impact. The calculation of the carbon footprint considers factors related to energy consumption and the use of green or renewable energies. The findings indicate that only 17% of university websites can be considered environmentally friendly. There are significant differences in CO2 consumption and emissions depending on whether the websites implement environmentally sound practices. This study highlights the lack of initiatives aimed at reducing energy consumption and greenhouse gas emissions associated with web information management. The study shows that Spanish universities have the potential to contribute to the reduction in CO2 emissions by implementing sustainable development practices on their websites. Furthermore, it fosters awareness about technology usage and its environmental impact, promoting the adoption of green and sustainable approaches.