Search Results (116)

The increasing flow of documents in digital libraries, archives and electronic document management systems makes the standardization, adaptation and automation of the process of creating metadata an urgent scientific problem. Metadata directly affects the efficiency of document search, identification, semantic interpretation, long-term storage and intersystem exchange. However, while standardized description based on MARC21, a flexible approach to creating a dynamic field, and intelligent methods based on deep learning, cover these requirements separately, the issue of their full integration into a single methodological system has not been sufficiently resolved. In this study, an integrated hybrid model for describing electronic documents based on standardized, flexible, and intelligent metadata was proposed. A mixed electronic document corpus of 1500 documents was formed for evaluation. The corpus consisted of books, dissertations, scientific articles, archival documents, and heterogeneous electronic documents, with 300 samples selected from each group. Key metadata elements for each document were manually identified and used as ground truth. According to experimental results, the MARC21-based constructor achieved 96.8% structural compatibility and 95.6% metadata completeness, but the average description time was 6.8 min. The dynamic field approach achieved 93.4% structural compatibility and 94.1% metadata completeness, and reduced the description time to 4.1 min. The deep learning-based intelligent module achieved a structural matching score of 91.7%, a metadata extraction score of 93.8% F1, and reduced the processing time to 1.9 min. The proposed hybrid model achieved a structural matching score of 95.9%, a metadata F1 score of 95.1%, and an average description time of 2.3 min. The results showed that the hybrid model is a balanced solution between metadata quality, flexibility, and automation. Full article

In the world of electronics, sensors are more than just components—they are the eyes, ears, and touchpoints of modern technology. From self-driving cars that rely on LiDAR and ultrasonic sensors to navigate complex environments, smart watches that detect your every move and heartbeat, to advanced brain chip implants that can sense your thoughts and translate them into physical moves with the assistance of exoskeletons, sensors bridge the gap between the physical world and digital systems. The rapid arrival of advanced Artificial Intelligence (AI) and Large Language Models (LLMs) has transformed almost every part of technology, especially data processing. However, the development of sensors remains a vitally important topic. Sensors form the foundation of innovation in electronics; novel sensors provide reliable data across a broad range of application areas and are a foundation for intelligent systems. Notably, knowing the capabilities and limitations of each sensor type is crucial for selecting the right sensor for a specific application, troubleshooting issues, and optimizing system performance. This book, entitled “Advanced Sensors for Real-Time Monitoring Applications II”, demonstrates developments of real sensors for a range of applications, including descriptions of fundamental principles of operation, concepts, theory, and practical validation of the results, as well as a review of current state-of-the-art and future directions. Full article

Electronic picture book free viewing can promote language comprehension ability and social cognitive abilities in children with autism by providing structured visual information. Understanding autism spectrum disorder (ASD) children’s visual attention patterns during electronic picture book free viewing can inform targeted educational research. The attentional preference of children with ASD toward electronic picture books with social scenes remains under-explored. This study aimed to understand the social attention of children with ASD during free viewing of electronic picture books with social scenes. Eye-tracking technology was used to record the visual behavior of 24 children with ASD viewing electronic picture books independently, and 25 typically developing (TD) children were selected as the control group. The results showed that children with ASD allocated less fixation time to social information in electronic picture books than TD children, with a clear difference in the fixation time spent on facial regions. Children with ASD neither displayed the same attention to happy facial expressions in electronic picture books as TD children nor did they show significant differences in attention to different emotions. These findings contribute to our understanding of visual attention patterns in children with ASD during electronic picture book free viewing and provide empirical evidence for future research on optimizing visual viewing guidance for children with ASD. Full article

“Heijin” (the literal translation from Chinese being “Black Gold”) seal stone represents a unique variety of sulfur-rich, dickite-dominant jade, yet its mineralogical genesis and structural properties remain insufficiently characterized. This study utilizes a multi-analytical approach comprising polarized light microscopy, X-Ray diffraction (XRD), Raman spectroscopy, Fourier-transform infrared spectroscopy (FTIR), Scanning Electron Microscopy coupled with Energy-Dispersive X-Ray Spectroscopy (SEM-EDS), Electron Probe Microanalysis (EPMA), and Thermogravimetry and Differential Scanning Calorimetry (TG-DSC) to investigate the phase composition, crystalline order, and thermal evolution of this material. The results demonstrate that “Heijin” stone is primarily composed of highly ordered 2M₁ dickite with a Hinckley index (HI) ranging from 0.92 to 1.50. Its distinctive black appearance originates from the disseminated distribution of micrometer-scale pyrite, which is accompanied by trace amounts of svanbergite. This aluminum phosphate–sulfate (APS) mineral serves as a critical indicator of high sulfur fugacity and acidic hydrothermal alteration environments. Furthermore, a significant correlation exists between the crystalline order of dickite, its micro-morphology, and its thermal stability. Samples characterized by high crystallinity (HI ≈ 1.50) exhibit well-developed, euhedral book-like aggregates and elevated dehydroxylation temperatures (T_m ≈ 665 °C), whereas samples with lower crystalline order correspond to fragmented microstructures and reduced thermal stability. This research defines the mineralogical identity of “Heijin” stone and provides a scientific basis for employing thermal analysis to evaluate the crystalline quality of dickite-based jade materials. Full article

Communication is defined as the process of transferring data and exchanging information between interconnected systems. Due to the increasing reliance on digital infrastructures by the military, financial, and healthcare sectors, it is important to ensure the confidential, authentication, and tamper-proof nature of communications. In addition, the increasing need for secure communications in the fields of network security and cryptography have led to the development of numerous systems. The basic requirement of these systems is that under the same key, identical plaintexts do not result in identical ciphertexts. The most significant contribution to this requirement has came from block cipher modes. There are many traditional modes of operation such as the Electronic Code Book (ECB) compromises between simplicity and security. Probabilistic Modes such as the Cipher Block Chaining Mode (CBC) provide a method to randomize data so that the potential for pattern analysis is eliminated, while Deterministic Modes such as ECB enable potential access to the patterns within the plaintexts. Conversely, since the randomization is in the Probabilistic Mode, there is no access to the patterns; however, the sequentiality of the blocks creates dependence and increases the computing overhead. To address these issues, a novel block cipher mode that provides the highest level of security and the most effective method for performing encryption and decryption will be proposed in this paper. It is anticipated that the improved security features and efficient encryption and decryption procedures will significantly improve confidentiality. The methods proposed will utilize compact key structures, parallel processing, a header generation based on multiple random values, and a Key-derived S Box. The experimental results show that SEBCM is more effective than CBC with respect to speed in both encryption and decryption. Full article

With the advancement of Internet of Things (IoT) technology, flexible sensors with dual optoelectronic sensing modes have emerged as a research hotspot for next-generation smart devices, further driving the urgent demand for environmentally friendly functional materials. Here, we innovatively integrated wastepaper recycling technology with a polyethyleneimine (PEI)-assisted pulping strategy to develop a novel cellulose-based sustainable photo-triboelectric hybrid nanogenerator (PT-HNG). Based on the working mechanism of a freestanding triboelectric nanogenerator (TENG), the PT-HNG can directly convert pressure stimuli into electrical energy and triboelectrification-induced electroluminescence (TIEL) signals. It achieves luminescence brightness of 0.06 mW cm⁻² (3.84 cd m⁻²) and simultaneously delivers excellent electrical output performance (172.4 V, 6.36 μA, 43.7 nC) under sliding motion. More importantly, compatible with existing industrial papermaking processes, the PT-HNG is scalable for large-scale production. By combining PT-HNG with deep learning algorithms, a handwritten e-book system based on trajectory recognition was constructed, with a recognition accuracy of up to 95.5%. In addition, real-time intelligent control of PowerPoint presentations via PT-HNG was demonstrated. This study provides a new pathway for converting wastepaper into intelligent products and presents a novel idea for the interdisciplinary integration of the circular economy and advanced electronic technology. Full article

Background: The inappropriate and empirical use of antibiotics in early childhood remains a major global public health concern, contributing significantly to the rise of antimicrobial resistance (AMR). In Kosovo, the COVID-19 pandemic further influenced prescribing behaviors in primary care, increasing the reliance on symptom-based treatment in the absence of laboratory confirmation and age-appropriate formulations. Aim: This study aimed to assess the prevalence and patterns of antibiotic prescribing among children aged 1–7 years in primary health care centers in Prishtina and Ferizaj from January 2022 to December 2025, and to compare regional differences in prescribing practices and guideline adherence. Methods: A retrospective observational study was conducted using data from the national electronic health record system and protocol books. All pediatric visits for children aged 1–7 years with infectious diagnoses were included. Descriptive statistics, Chi-square tests, and multivariable logistic regression were used to evaluate prescribing prevalence, demographic and seasonal variations, and independent predictors of antibiotic use, including assessment of appropriateness based on international pediatric guidelines. Results: Of 4320 pediatric visits, 1328 (30.7%) resulted in an antibiotic prescription. Prescribing prevalence was higher in Ferizaj (34.2%) than in Prishtina (28.5%, p < 0.01). Amoxicillin–clavulanic acid (42.9%) and amoxicillin (21.5%) were the most frequently prescribed agents, while macrolides (11.7% vs. 6.2%) and cephalosporins (7.9% vs. 3.4%) were more common in Ferizaj. Only 61.4% of prescriptions were fully guideline-concordant. Younger age (1–3 years), winter season, and residence in Ferizaj were independently associated with higher odds of receiving an antibiotic. Conclusions: Pediatric antibiotic prescribing in Kosovo remains high and predominantly empirical, reflecting real-world limitations in diagnostic capacity and formulation availability. Significant proportions of partially appropriate and inappropriate prescriptions highlight the need for standardized pediatric guidelines, improved diagnostic support, and strengthened stewardship initiatives within primary care. Full article

Digital technologies have transformed how information is accessed and shared; however, individuals with disabilities continue to face significant barriers in engaging with educational content. The shift to electronic formats presents an opportunity to promote inclusion by integrating accessibility features. Accessible e-books are essential for fostering equitable participation in learning environments, supporting lifelong learning, and aligning with global sustainability goals such as SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). While international frameworks like the Web Content Accessibility Guidelines (WCAG) advocate for accessible publishing, significant gaps remain. This paper presents a Systematic Literature Review (SLR) aimed at examining the role of accessibility features in shaping the quality, usability, and affordability of e-books. Based on well-defined guidelines, we defined and executed an SLR protocol, identifying 1618 studies in seven different scientific databases. At the end of the review process, we selected 74 studies to answer four research questions related to the accessibility features employed by e-books and their reading platforms. By synthesizing existing evidence, this review highlights barriers, best practices, and strategic pathways to inform educators, publishers, and policymakers. Ultimately, this study advocates for the development of inclusive and sustainable digital content ecosystems that meet the diverse needs of all learners. Full article

Background: While the 2024 ESC Guidelines provide guidance on utilising incidental CAC findings from non-gated CT scans to enhance risk stratification and guide treatment decisions, there remain gaps in detailed protocols for managing such incidental findings, particularly in inpatient settings. An incidental finding of CAC in a patient without known atherosclerosis provides an opportunity to assess cardiac risk, promote risk factor optimisation and evaluate need for further cardiac work up. The aim of this study was to assess the prevalence of incidental coronary artery calcification on non-cardiac dedicated gated CT thorax scans among general medical inpatients and to evaluate the subsequent management of these findings. Methods: This was a single-centre retrospective observational study of consecutive general medical inpatients aged 40–75, who had undergone a non-cardiac gated CT thorax during their admission, between February and March 2025. Data were collected using local electronic health records. Exclusion criteria were patients with known ischaemic heart disease (IHD). Risk factor assessment was noted by documentation of smoking status, hypertension, diabetes and low-density lipoprotein (LDL) values. Results: A total of 186 patients with thoracic CT scans were identified. On review of all CT reports, 53 (28.4%) patients had CAC reported, of whom 17 had known IHD. Therefore 36 (19.4%) patients were identified for further analysis. An exercise stress test was booked in none of the patients. A coronary angiogram was booked in 1 patient. Conclusions: One fifth of medical inpatients in our study had a new finding of CAC on thoracic imaging. Cardiovascular risk factors of LDL and HbA1c were checked in less than half of patients. None of these patients went on to have functional testing. There is a valuable opportunity to optimise cardiac risk factors and evaluate the need for functional testing in a subset of patients with CAC reported on non-cardiac CTs. This can be facilitated by raising awareness and implementing a flowchart tool for hospital physicians to reference. Full article

Electronic word of mouth (eWOM) is a powerful form of online communication that strongly influences consumer purchasing behaviour. However, what remains less clear is the combined influence of situational factors versus personality traits when assessed simultaneously. The aim of this paper is to address this gap by developing an integrative conceptual model to assess the comparative relevance of situational factors and personality traits in driving eWOM generation in the Romanian accommodation sector. To implement the research scope, an empirical, quantitative, questionnaire-based investigation was pursued, data being collected from 291 tourists who had previous experience with online accommodation platforms such as booking.com, Airbnb, Trivago, etc. Based on the proposed conceptual model, data were analysed by means of structural equation modelling via SmartPLS 4.0. The research extends previous knowledge based on the Theory of Reasoned Action (TRA) and the Theory of Cognitive Dissonance (TCD), showing the combined multiple effects of situational factors and personality traits on consumers’ behaviour in generating eWOM in the accommodation sector. The results show that acquisition regret strongly drives eWOM generation intention, this regret being significantly increased by the unpleasantness, unacceptability, and importance of the consumer’s situation. Consumer expressivity predicts eWOM generation and is positively influenced by perceived social support, a relationship newly validated in the literature. Full article

Background: Pre-retrofit auditing and pre-demolition auditing (PRA/PDA) are important in material reuse, waste reduction, and regulatory compliance in the building sector. An emphasis on sustainable construction practices has led to a higher requirement for PRA/PDA. However, traditional auditing processes demand substantial time and manual effort and are more easily to create human errors. As a developing technology, artificial intelligence (AI) can potentially assist PRA/PDA processes. Objectives: This scoping review aims to review the potential of AI in assisting each sub-stage of PRA/PDA processes. Eligibility Criteria and Sources of Evidence: Included sources were English-language articles, books, and conference papers published before 31 March 2025, available electronically, and focused on AI applications in PRA/PDA or related sub-processes involving structured elements of buildings. Databases searched included ScienceDirect, IEEE Xplorer, Google Scholar, Scopus, Elsevier, and Springer. Results: The review indicates that although AI has the potential to be applied across multiple PRA/PDA sub-stages, actual application is still limited. AI integration has been most prevalent in floor plan recognition and material detection, where deep learning and computer vision models achieved notable accuracies. However, other sub-stages—such as operation and maintenance document analysis, object detection, volume estimation, and automated report generation—remain underexplored, with no PRA/PDA specific AI models identified. These gaps highlight the uneven distribution of AI adoption, with performance varying greatly depending on data quality, available domain-specific datasets, and the complexity of integration into existing workflows. Conclusions: Out of multiple PRA/PDA sub-stages, AI integration was focused on floor plan recognition and material detection, with deep learning and computer vision models achieving over 90% accuracy. Other stages such as operation and maintenance document analysis, object detection, volume estimation, and report writing, had little to no dedicated AI research. Therefore, although AI demonstrates strong potential in PRA/PDA, particularly for floor plan and material analysis, broader adoption is limited. Future research should target multimodal AI development, real-time deployment, and standardized benchmarking to improve automation and accuracy across all PRA/PDA stages. Full article

This study aims to bridge the research gap emerging from the relationships between Visual electronic Word-of-Mouth (VeWOM) and brand factors, and their impact on consumers’ behavior by exploring the causal effects of eWOM attributes on hotel brand factor spreading through Brand Awareness (BA) and Brand Perceived Value (BV) and its consequences on Purchase Decisions (PD) in the hospitality context. Attribution Theory was extended to incorporate brand-mediated effects and crisis-specific factors. The study investigates the impact of VeWOM on consumer Purchase Decisions (PD) in terms of hotel room bookings in the British hospitality market, emphasizing the mediating role of brand-related constructs. Drawing on Attribution Theory, the research proposes a structural model to assess both direct and indirect pathways through which VeWOM influences behavioral outcomes. A stratified, non-probability sampling approach yielded 443 valid responses from hotel bookers who engaged with user-generated visual content prior to booking. The Partial Least Squares Structural Equation Model (PLS-SEM) was employed to test the hypothesized relationships. The findings reveal that VeWOM significantly influences Brand Value (BV), eWOM Credibility, and Information Quality, which in turn shape consumer purchase behavior. Crucially, Brand Value emerges as a key mediating variable, bridging VeWOM and Purchase Decisions, while VeWOM alone does not directly affect booking behavior. Moreover, Brand Awareness showed no significant mediating effect. The study underscores the indirect attribution process in visual review contexts, demonstrating that the influence of VeWOM is channeled primarily through brand perception mechanisms rather than direct persuasion. These insights extend Attribution Theory by highlighting the distinct cognitive pathways activated by visual content compared to text-based reviews. Practically, the research suggests that hoteliers should focus on enhancing Brand Value via bundled offerings and relationship-based marketing rather than relying solely on visual appeal or awareness to drive bookings. The study contributes to the growing body of VeWOM literature by clarifying its nuanced effects on decision-making in digital hospitality environments. Full article

Non-celiac villous atrophy (NCVA) is a multifaceted and under-recognized clinical entity with an etiology beyond celiac disease. This review critically examines the diverse pathophysiological mechanisms underlying NCVA, including autoimmune enteropathies, immune deficiency-related disorders, infectious processes, drug-induced trauma, and metabolic or environmental influences. A comprehensive synthesis of peer-reviewed literature, clinical studies, and case reports was conducted, adopting a multidisciplinary perspective that integrates immunologic, infectious, metabolic, and pharmacologic insights. The literature search was performed in three phases: identification of relevant studies, critical assessment of selected publications, and synthesis of key findings. Searches were carried out in PubMed, Scopus, Web of Science, and Google Scholar databases. The final search, completed in June 2025, included international, English-language articles, electronic books, and online reports. Studies were included if they addressed NCVA in the context of pathophysiology, clinical manifestations, or management strategies, with priority given to publications from the last ten years (2015–2025). The search strategy used the primary term “non-celiac villous atrophy” combined with supplementary keywords such as autoimmune enteropathy, common variable immunodeficiency, tropical sprue, drug-related enteropathy, pathophysiology, immunological mechanisms, chronic inflammation, genetic factors, environmental influences, and clinical management. Histopathological evaluations reveal that NCVA often manifests with varying degrees of villous blunting, crypt hypertrophy, and intraepithelial lymphocytosis, albeit without the gliadin-specific immune response seen in celiac disease. Various immune pathways are involved, such as autoimmune deregulation and chronic inflammatory responses, while drug-induced and environmental factors further complicate its clinical picture. These findings highlight significant diagnostic challenges and underscore the need to adapt diagnostic algorithms that combine clinical history, serologic evaluations, and histopathologic analysis. In conclusion, an in-depth understanding of the heterogeneous etiology of NCVA is critical to improving diagnostic accuracy and optimizing therapeutic strategies. Future research should prioritize the identification of specific biomarkers and the development of targeted interventions to address the unique mechanisms underlying NCVA, thereby improving patient management and outcomes. Full article

Allergic diseases share a type 2 immune reaction and elevated oxidative stress, contributing to disease pathogenesis and exacerbations. Vitamin C (ascorbic acid), a fundamental exogenous antioxidant, has been hypothesized to attenuate these pathological mechanisms. This narrative review critically examined the most recent evidence concerning the role of vitamin C in preventing and managing allergic diseases, including asthma, allergic rhinitis, and atopic dermatitis. This narrative review consisted of three steps: conducting the search, reviewing abstracts and full texts, and discussing results. For this reason, we consulted the PubMed database to detect the pertinence of studies according to the review’s conduct. The final search ended in March 2025 and included English-language-based international articles, online reports, and electronic books. The keywords “vitamin C and allergic disease” and “vitamin C and immune system” were used. After the complete search, we read the abstracts to ensure that they concerned the topic of interest. Recent evidence suggests a protective role for vitamin C in asthma, with several studies reporting reduced oxidative stress markers, improved lung function, and decreased airway inflammation following regular intake or supplementation. Higher dietary vitamin C intake correlates with lower asthma prevalence and severity, particularly in pediatric populations. Conversely, the findings regarding allergic rhinitis and atopic dermatitis are heterogeneous. While topical ascorbic acid derivatives show promise in atopic dermatitis models, oral vitamin C intake does not appear to affect allergic rhinitis or dermatitis risk significantly. Vitamin C demonstrates potential as an add-on therapy in asthma management by attenuating oxidative stress and type 2 respiratory inflammation. However, its role in allergic rhinitis and atopic dermatitis remains less clear. Further multicentric, well-designed clinical trials are necessary to establish definitive guidelines for vitamin C supplementation in allergic disease management. Full article

Bimetals—materials composed of two metal components with dissimilar standard reduction–oxidation (redox) potentials—offer unique electronic, optical, and catalytic properties, surpassing monometallic systems. These materials exhibit not only the combined attributes of their constituent metals but also new and novel properties arising from their synergy. Although many reviews have explored the synthesis, properties, and applications of bimetallic systems, none have focused exclusively on iron (Fe)- and aluminum (Al)-based bimetals. This systematic review addresses this gap by providing a comprehensive overview of conventional and emerging techniques for Fe-based and Al-based bimetal synthesis. Specifically, this work systematically reviewed recent studies from 2014 to 2023 using the Scopus, Web of Science (WoS), and Google Scholar databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and was registered under INPLASY with the registration number INPLASY202540026. Articles were excluded if they were inaccessible, non-English, review articles, conference papers, book chapters, or not directly related to the synthesis of Fe- or Al-based bimetals. Additionally, a bibliometric analysis was performed to evaluate the research trends on the synthesis of Fe-based and Al-based bimetals. Based on the 122 articles analyzed, Fe-based and Al-based bimetal synthesis methods were classified into three types: (i) physical, (ii) chemical, and (iii) biological techniques. Physical methods include mechanical alloying, radiolysis, sonochemical methods, the electrical explosion of metal wires, and magnetic field-assisted laser ablation in liquid (MF-LAL). In comparison, chemical protocols covered reduction, dealloying, supported particle methods, thermogravimetric methods, seed-mediated growth, galvanic replacement, and electrochemical synthesis. Meanwhile, biological techniques utilized plant extracts, chitosan, alginate, and cellulose-based materials as reducing agents and stabilizers during bimetal synthesis. Research works on the synthesis of Fe-based and Al-based bimetals initially declined but increased in 2018, followed by a stable trend, with 50% of the total studies conducted in the last five years. China led in the number of publications (62.3%), followed by Russia, Australia, and India, while Saudi Arabia had the highest number of citations per document (95). RSC Advances was the most active journal, publishing eight papers from 2014 to 2023, while Applied Catalysis B: Environmental had the highest number of citations per document at 203. Among the three synthesis methods, chemical techniques dominated, particularly supported particles, galvanic replacement, and chemical reduction, while biological and physical methods have started gaining interest. Iron–copper (Fe/Cu), iron–aluminum (Fe/Al), and iron–nickel (Fe/Ni) were the most commonly synthesized bimetals in the last 10 years. Finally, this work was funded by DOST-PCIEERD and DOST-ERDT. Full article