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24 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
28.08.2026journal-article

Business Information Review

AI literacy as an extension of digital literacy: A conceptual framework for knowledge work in AI-enabled organizations

Kha Huy Tran

Artificial intelligence (AI) is increasingly embedded in organizational information environments, reshaping how knowledge is created, interpreted, and applied. As AI systems become active participants in organizational information processes, employees are required not only to operate digital technologies but also to interpret algorithmic outputs and collaborate effectively with intelligent systems. While prior research has extensively examined digital literacy, human–AI collaboration, and AI literacy, these streams …

28.08.2026journal-article

International Journal of Public Health and Medical Research

Analysis on Cost-effectiveness and Budget Impact of Health Technology Assessment in Critical Care Medicine from the Global Health Perspective

Xuan Wang

Critical care medicine is relatively expensive in terms of medical resources. Cost-effectiveness analysis (CEA) and its subset, cost-utility analysis (CUA), are employed in health technology assessment (HTA) to determine the economic value of intervention measures, and a separate budget impact analysis is performed to assess how the introduction of new technology will affect the budget. Both are used to make selections. This paper reviews the progress of health technology assessment (HTA) in the field of global cri …

28.08.2026journal-article

SAGA: Journal of English Language Teaching and Applied Linguistics

Digital Readiness and Barriers to Artificial Intelligence Integration for English Teachers in Indonesian Madrasahs

Ning Setio Wati, Trisna Dinillah Harya, Ahmad Subhan Roza, Eka Yuniasih

Artificial Intelligence (AI) offers strong potential to enhance teaching and learning activities in English Language Teaching. However, English teachers in Indonesian madrasahs, Islamic secondary schools, frequently face challenges due to limited digital resources and access while also working within strong institutional and religious values. This study explored how English teachers in Indonesian madrasahs perceived, used, and negotiated AI within their pedagogical practices. This interpretive qualitative case stud …

28.08.2026journal-article

Russian Journal of Clinical Dermatology and Venereology

A clinical case of treatment with netakimab in a patient with moderate psoriasis associated with metabolic syndrome

O.E. Ianets, K.A. Dyachenko

Psoriasis is a chronic disease of multifactorial origin, characterized by accelerated proliferation of keratinocytes and impaired differentiation, an imbalance between pro-inflammatory and anti-inflammatory cytokines, and frequent involvement of the musculoskeletal system in the pathological process. Hereditary predisposition, immune system dysfunction, psychoemotional disorders, and adverse environmental factors play a significant role in the development of psoriasis. Currently, a personalized approach to the choi …

28.08.2026journal-article

American Journal of Physical Education and Health Science

Exploring the Impact of Sustainability Development Education to Environmental Literacy of BPE Students

M. A. Pevida, F. P. Rivera, M. L. Amacna, M. R. Potenciando

This descriptive-correlational study aims to ascertained the level of sustainability development education and environmental literacy among BPE students and scrutinized the relationship between these variables. Environmental knowledge is crucial to providing sufficient awareness to address these ecological issues that are currently expanding throughout this generation. Due to the rise of environmental problems, it is imperative for future PE teachers to examined their ways of handling eco-friendly practices. Quanti …

28.08.2026journal-article

Advanced Engineering Research (Rostov-on-Don)

A Study of Human Emotion Recognition Methods Based on Digital Image Analysis

S. A. Filichkin, S. V. Vologdin

Introduction . The recognition of basic emotions from facial images is increasingly required in driver monitoring systems, medical user interfaces, and educational learning analytics. As of July 2024, such systems have been mandated by EU regulations. Among the methodological approaches in this area, neural-network architectures reach high accuracy but require large training samples and remain opaque, which is critical in safety applications. Classical descriptors LBP and HOG, in contrast, are computationally effic …

28.08.2026journal-article

Journal of Nephrology

The association between carbon monoxide and cardiovascular-kidney-metabolic syndrome in the Chinese populations: China Health and Retirement Longitudinal Study

Xuemin Yin, Xi Fang, Yinjun Liao

Abstract Background Cardiovascular-kidney-metabolic (CKM) syndrome is characterized by both high prevalence and mortality rates. Air pollution, a recognized risk factor for cardiovascular disease and a key component of CKM syndrome has been insufficiently studied in relation to CKM outcomes, particularly in Chinese populations. Methods This study leveraged the China Health and Retirement Longitudinal Study (CHARLS) database to investigate associations between major air pollutants, such as carbon monoxide (CO), fine …

28.08.2026journal-article

Microbiology Spectrum

Prospective multicenter evaluation of an easy-to-use DNA microarray for the detection of dermatophytes in clinical samples compared with conventional mycological methods

Hélène Guegan, Geneviève Cremer, Françoise Foulet, Françoise Botterel, Arnaud Jabet, Frédérique Boquel, Alicia Moreno-Sabater, Jean-Pierre Gangneux

ABSTRACT Molecular methods are increasingly used for the diagnosis of superficial fungal infections, providing rapid and sensitive detection of dermatophytes. This multicenter study evaluated the diagnostic performance of the DendrisKIT (DP assay), an automated DNA microarray for dermatophyte detection, compared with conventional mycological methods. In total, 490 clinical samples from four French centers were analyzed using the DP assay, direct examination (DE), and fungal culture. After excluding invalid results, …

28.08.2026journal-article

Journal of Clinical Medicine

Pulmonary Artery Versus Aortic Root Venting and Early Postoperative Respiratory Recovery After On-Pump Coronary Artery Bypass Grafting: A Propensity Score Overlap-Weighted Analysis

Seval Kılbasanlı, Esra Ertürk Tekin

Background/Objectives: Direct comparative evidence regarding aortic root and pulmonary artery venting during on-pump coronary artery bypass grafting (CABG) remains limited. We evaluated whether pulmonary artery venting was associated with improved early postoperative respiratory recovery compared with aortic root venting. Methods: This single-center retrospective cohort included 488 adults undergoing on-pump CABG between January 2020 and January 2025 (aortic root vent, n = 316; pulmonary artery vent, n = 172). The …

28.08.2026journal-article

Revista Científica SOL21 - Standard Open Literature

<b>A GEOPOLÍTICA DA INTELIGÊNCIA ARTIFICIAL: DA ATENÇÃO PÚBLICA VIA GOOGLE TRENDS À PRODUÇÃO ACADÊMICA ESTIMADA PELO GOOGLE SCHOLAR</b>

Davis Souza Alves, Márcio Magera Conceição

Este artigo investiga em que medida a atenção pública a tecnologias estratégicas associadas à inteligência artificial (IA) se relaciona com a visibilidade da produção acadêmica sobre os mesmos temas. O desenho longitudinal cobre 2016–2025 e integra duas fontes: Google Trends, utilizado como proxy de atenção pública, e Google Scholar, utilizado como proxy ampla de visibilidade acadêmica. Quatro dimensões são analisadas: inteligência artificial, semicondutores, minerais críticos e data centers. As médias anuais do Go …

28.08.2026journal-article

Frontiers in Health Services

“I want to talk about it, but at the same time, I don't want to, so it's just easier to draw it”: perceived benefits of an arts-based intervention to support children's basic psychological needs and well-being

Jasmine Piché, Fahim Moominzada, Zachary Dylan Fry, Sandrine Corbeil, Laurie Deschenes, Emilie Mclean, Kyra Simons, Adrianna Mendrek, Catherine Malboeuf-Hurtubise

Children from low-income families and rural areas are particularly vulnerable to developing emotional and behavioral problems. Implementing mental health intervention into after-school programs can serve as an opportunity to foster the well-being of these children. Arts-based interventions appear particularly effective at engaging children in reflections on daily challenges and processing associated emotions and thoughts, thus supporting their well-being. Study Aims In collaboration with an after-school program, th …

28.08.2026journal-article

African Journal of Health Nursing and Midwifery

Prevalence and Socio-Demographic Correlates (Age and Parity) of HBV Infection Among Pregnant Women in Oyo State

Aina, M. A.

Hepatitis B virus (HBV) is still a major public health problem in sub-Saharan Africa, especially because of the risk of transmission of the infection from mothers to their babies at birth. This study set out to establish the level of sero-prevalence of HBV, maternal perception and THE relationship between maternal age, parity, and sero-status in Oyo State. A Descriptive cross-sectional design was used and consisted of 100 respondents for the questionnaire and 622 respondents for the laboratory. The HBV sero-prevale …

28.08.2026journal-article

Odovtos - International Journal of Dental Sciences

Revisiting Open Science Through a Global Health Lens: Critical Reflections

Jaime Alonso Caravaca-Morera, Jun Wang, Karen Breda, Ricardo De Mattos Russo Rafael

Open Science has become a global movement promoting accessibility, transparency, and collaboration in research. It encompasses open access, open data, citizen science, and digital innovations, fostering inclusion and public participation, particularly in social and health sciences. This shift challenges traditional scientific models by emphasizing ethical integrity, research transparency, and knowledge co-creation. However, issues like authorship, funding, and scientific misconduct remain critical concerns. Open Sc …

28.08.2026journal-article

Frontiers in Endocrinology

Perinatal HPA axis regulation and offspring neuropsychiatric development: mechanisms, developmental trajectories, and clinical implications

Yanwei Guo, Jinyi Liu, Yaru Peng, Xiaofeng Li

Maternal hypothalamic–pituitary–adrenal (HPA) axis regulation forms part of the maternal–placental–foetal system through which prenatal environments may influence offspring developmental trajectories. During pregnancy, cortisol supports placental function and foetal maturation; however, its developmental significance depends on exposure timing, magnitude, and duration, placental glucocorticoid regulation, and foetal susceptibility. This narrative review synthesises evidence regarding maternal psychological distress …

28.08.2026journal-article

Karakter : Jurnal Riset Ilmu Pendidikan Islam

Maqashid al-Shariah and Stunting Prevention: Developing a Muslim Family-Based Child Health Protection Model

Muhammadong Muhammadong

Stunting still be a big problem in child health development. Stunting is related to dietary deficits but also influenced by parenting, economic situations, cleanliness, education and religious views of families. This research aims to develop a model of child health protection based on Muslim families with the perspective of maqashid al-shariah as an integrative method to avoid stunting. The research is based on a qualitative methodology with a conceptual-empirical design. Data were collected through a literature re …

28.08.2026journal-article

Discover Artificial Intelligence

Machine learning-based intrusion detection framework using NSL-KDD dataset

Anish Antony, Sumaiya Thaseen, Ashvini Alashetty, Benita Veronica, Sachin Kumar, Roohi Kursheed Khan, P. Geethanjali, Sachin Sharma, Kamanuri Sekhar

Abstract Applying Artificial Intelligence (AI) to the context of networking systems has greatly enhanced the ability to detect, protect, and manage the kind of flows in networks in real time. This research explores the relationship between AI and networking, and more particularly, the extent to which AI technology can be used to enhance, protect, and scale the NIDS using the NSL-KDD dataset. This research focuses on the following objectives: (a) enhancing the performance of network intrusion detection models, and ( …

28.08.2026journal-article

International Journal of Public Health and Medical Research

Analysis of Traditional Medical Imaging Methods and their Comparison with Ultra-Weak Magnetic Field Imaging

Wenhao Li

Human structural imaging methods such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are essential to modern clinical medicine. These non-invasive tools allow doctors to clearly observe hidden internal organs, bones, and soft tissues, greatly improving diagnosis rate and survival rate. Detailed structural scans also support personalized treatment: surgeons use reconstructed images to plan precise surgery and avoid damaging vital tissues, while radiotherapists pinpoint lesions and limit damage to h …

28.08.2026journal-article

Frontiers in Surgery

Comparison of clinical efficacy and psychological outcomes of femoral neck system combined with rhBMP-2 for young adult femoral neck fractures

Dan Li, Wanrong Yang

Objective This study aimed to compare postoperative clinical efficacy and psychological status between isolated Femoral Neck System (FNS) fixation and FNS combined with local recombinant human bone morphogenetic protein-2 (rhBMP-2) implantation in patients aged 18–55 years with unstable femoral neck fractures. Methods A retrospective clinical analysis was performed on 65 patients aged 18–55 years admitted to our institution from January 1, 2022 to December 1, 2023. All participants were divided into two treatment g …

28.08.2026journal-article

Heritage

Artificial Intelligence for Musical Cultural Heritage: Preservation, Interpretation, and Human-Centered Creativity at the Centro di Sonologia Computazionale

Sara Giuriati, Anna Zuccante, Alessandro Russo, Alessandro Fiordelmondo, Matteo Spanio, Antonio Rodà, Sergio Canazza

Artificial intelligence is increasingly shaping the preservation, interpretation, management, and reactivation of musical cultural heritage, especially in domains affected by technological obsolescence such as computer music, electroacoustic works, and analog audio archives. This perspective and case-study article examines the research trajectory of the Centro di Sonologia Computazionale (CSC) of the University of Padua through three analytically selected research directions: AI-assisted musical co-creation, multim …

28.08.2026journal-article

Asian Journal of Physical and Chemical Sciences

Environmental and Human Health Risk Assessment of Heavy Metals in Soils from Automobile Mechanic Villages in Enugu State, Nigeria

Emmanual Cukwudi Ugwu, Prisca Ifeoma Udeozo, Okechukwu Paul Nsude, Effiong Imoh, Kingsley John Orie

Automobile mechanic activities can introduce potentially toxic metals into surrounding soils through the disposal of spent engine oil, metallic scraps, batteries and other vehicle-related wastes. This study assessed heavy metal contamination, ecological risk and potential human-health risks in soils from automobile mechanic villages at Coal Camp and Emene, Enugu State, Nigeria. Soil samples were digested using a nitric acid–perchloric acid mixture and analysed for Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb and Zn using Ato …

28.08.2026journal-article

Knowledge and Performance Management

Digital human resource management and academic performance: Evidence from Indonesian associate professors

Nursaimatussaddiya, Horas Djulius, Tria Aziti Meisya

Type of the article: Research ArticleDigital transformation has changed the way human resource management is organized in higher education. In private universities with strong accreditation demands, digitally supported human resource practices are increasingly relevant for helping academic staff manage teaching, research, publication, and institutional service responsibilities. The study analyzes the relationship between Digital Human Resource Management practices, human resource agility, and self-reported academic …

28.08.2026journal-article

Children

Evidence Drift and Causal Maturation Drift in Pediatric Health Research: A Dual-Drift Framework and Preliminary Appraisal Instruments for Inferential Fidelity

Ziad D. Baghdadi

Pediatric health research must translate evidence into decisions that affect children’s development, safety, function, and long-term well-being. Scientific progress can still fail in two opposing ways: claims may exceed their evidentiary support, or research programs may remain productive while repeatedly refining an established signal without resolving decision-relevant uncertainty. These risks are amplified by developmental heterogeneity, ethical constraints, surrogate or short-term outcomes, long follow-up, and …

28.08.2026journal-article

PLOS Digital Health

Dual-flow convolutional neural network for automatic measurement of left ventricular ejection fraction and global longitudinal strain in echocardiography

Zisang Zhang, Ye Zhu, Shujun Chen, Yiheng Dong, Yiwei Zhang, Chun Wu, Ziming Zhang, Shuangshuang Zhu, Manwei Liu, Zhenxing Sun, Peige Zhang, Lili Jiang, Hongliang Yuan, Yongxing Zhang, Yuan Peng, Chunyan Xu, Chunyan Ma, Chunquan Zhang, Xu Huang, Xiaoshan Zhang, Yilu Shi, Xiaocong Wang, Qiaohui Su, Jing Wang, Mingxing Xie, Xin Yang, Li Zhang, Yuman Li

Left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) are essential for the diagnosis, clinical decision-making, and prognosis of cardiovascular disease. However, accurate assessments of LVEF and GLS by echocardiography are hampered by inter-observer variability, time-consuming, and labor-intensive. This study aimed to develop an automated method to accurately and rapidly assess LVEF and GLS. Based on the datasets of 500 patients (1,500 videos) from the internal center and 363 patients (1,0 …

28.08.2026journal-article

Gerontology

Hypertensive crisis in the elderly: epidemiological, clinical and outcome: EDEN-47 study

Òscar Miró, Ana García-Martínez, Sira Aguiló, John Parissis, Effie Polyzogopoulou, Pere Llorens, Juan González del Castillo, on behalf of the SIESTA research network members

PURPOSE: To define the frequency and annual rate of hypertensive crisis in older patients attending emergency department (ED), the sociodemographic and baseline patient profile, and clinical characteristics and long-term outcome of the hypertensive crisis episode. We also looked for differences between men and women. METHODS: This was a retrospective analysis of the multipurpose EDEN cohort, which recruited during 1-week period all patients aged 65 years who visited the ED of 52 Spanish public hospitals covering 1 …