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24 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
04.09.2026journal-article

Ibero Ciencias - Revista Científica y Académica - ISSN 3072-7197

WhatsApp como Herramienta de Capacitación Docente Relacionada con el Aprendizaje de Inteligencia Artificial, Análisis Netnográfico de sus Interacciones

Dolores Guadalupe Álvarez Orozco, Adán Guillermo Ramírez García, Osman Adolfo Amaya López, Nidia Isela Ramírez Manjarrez

Objetivo: El estudio examina cómo los profesores de habla hispana utilizan WhatsApp para mejorar sus habilidades en la implementación de la IA en sus actividades docentes, centrándose en un grupo de 714 educadores de varios países. Método: La investigación utilizó un enfoque cualitativo, Netnográfico, para analizar las interacciones y estrategias de aprendizaje dentro de un grupo de WhatsApp, utilizando el software Atlas.ti versión 24 para el análisis de datos. Resultados: Los hallazgos mostraron que los profesores …

04.09.2026journal-article

Revista Tópicos

OS IMPACTOS DA INTELIGÊNCIA ARTIFICIAL NA SAÚDE: POSSIBILIDADES, DESAFIOS E PERSPECTIVAS PARA A ASSISTÊNCIA EM SAÚDE

Rohan Patrese Lima Coutinho, Mateus Oliveira Alves, Cleiton Luís Maldaner, Myzael Soares de Azevedo, Marli do Carmo Baumbach, Marcia Francieli Oppermann Safanelli, Tabata Webber Maldaner, Laerte Luis Maldaner, Josiani Patrícia Saft, Dandara Garcia Menezes Régis, Crislaynne Alves dos Santos, Mariana Vieira Brandão, Dino Cezar Rodrigues Passos

A Inteligência Artificial (IA) tem adquirido crescente relevância na área da saúde, impulsionada pelo desenvolvimento de técnicas de aprendizado de máquina, aprendizado profundo, redes neurais e, mais recentemente, inteligência artificial generativa. Essas tecnologias vêm sendo incorporadas a diferentes etapas da assistência, incluindo diagnóstico, análise de exames de imagem, predição de riscos, apoio à decisão clínica, monitoramento de pacientes, descoberta de medicamentos e organização de informações em saúde. E …

04.09.2026journal-article

Observatorio (OBS*)

Coverage of mental health on X: an analysis of Spanish newspapers (2015-2022)

Sergio Arce Garcia, Jesús Díaz-Campo

Mental health is a key social issue, and the media plays a vital role in shaping public awareness and attitudes. Social media platforms, such as X (formerly Twitter), have become important channels for disseminating information and influencing perceptions. This study explores how leading eleven Spanish online newspapers addressed mental health on X between 2015 and 2022, with a focus on language use, gender stereotypes, emotional tone, and the impact of the Covid-19 pandemic. A mixed-methods approach was used, comb …

03.09.2026journal-article

Municipal service: legal issues

From the Digital Profile of a Citizen to the Digital Profile of a Public Servant: China's Experience

Polina D. Mikheeva

The article analyzes the implementation of the social credit system (SCS) in China, which is a rating system for citizens based on a variety of data obtained from digital platforms and systems of government agencies and other departments, as well as from unofficial sources (such as “digital footprints” on the Internet). The SCS is used to reward conscientious citizens and impose restrictions on those who have committed offenses. The SCS data is used to create a digital profile of government employees, which include …

03.09.2026journal-article

The Legal World

Civil Law Aspects of Authorship of Digital Works Generated by Artificial Intelligence

Igor S. Sorokin

The relevance of this topic is driven by the rapid development of artificial intelligence, which is capable of creating works rivaling the results of human labor. Current legislation, which focuses on the creativity of individuals, does not provide a clear legal status for the author of AI-generated works, creating uncertainty regarding the ownership of intellectual property rights and the legal use of such works, hindering their full civil circulation. The study is based on the integrated application of general sc …

03.09.2026journal-article

Frontiers in Public Health

Artificial intelligence–driven risk prediction of polypharmacy in older adults: current advances, clinical applications, and future perspectives

Jianfeng Chen, Leyu Tao

Due to the ageing of the population, multimorbidity and polypharmacy has significantly increased, causing medication safety to become a global health concern. Traditionally, medication risk assessment methods based on the counts of medications or rule-based criteria are inadequate to perceive the dynamic, individual and longitudinal nature of medication-related risks in older people. Artificial intelligence (AI) has shown promise in retrospective predictive modelling for precision medication and medication risk str …

03.09.2026journal-article

JMIR mHealth and uHealth

Time to Cancer Screening Completion Following an SMS Reminder Intervention in a Large Federally Qualified Health Center Network: Secondary Data Analysis

Tonghui Xu, Summer Chavez, Ben King, Gonzalo Ramirez-Pulido, Chinedum O Ojinnaka, Daniel Osayi, Valery Kounga, Omolola E Adepoju

Abstract Background Delays in completing cancer screening diminish the preventive benefits of early detection, particularly among women receiving care in Federally Qualified Health Centers (FQHCs). Although many patients receive SMS reminders and complete screening, less is known about how quickly they complete testing or which patient-level and structural factors are associated with delays. Objective This study examined factors associated with time to cancer screening completion among women aged 50 years or older …

03.09.2026journal-article

Journal of Back and Musculoskeletal Rehabilitation

Clinical characteristics and functional determinants of central sensitization in chronic neck myofascial pain syndrome

Tolga Kaplan, Emel Güler, Musa Polat, Sümeyra Kaplan

Background Central sensitization (CS) is a key mechanism in chronic pain, but its relationship with cervical muscle pressure pain thresholds (PPT) and disability in myofascial pain syndrome (MPS) remains unclear. Objective To investigate the clinical characteristics and functional determinants of CS in patients with chronic neck MPS. Methods This prospective cross-sectional study included 98 patients with chronic neck MPS. Participants were categorized into High CSI ( n = 58 ) and Low CSI ( n = 40 ) groups using a …

03.09.2026journal-article

Engineering, Construction and Architectural Management

Predictive analysis of construction accident outcomes using explainable artificial intelligence and evidence fusion techniques

Jue Li, Gaotong Chen, Shiqing Liao, Min Zhu, Lanjun Luo

Purpose Effective construction safety management relies on interpretable information to guide practitioner interventions. However, most current predictive models are “black boxes” that provide limited insight into the complex, multifactor causal mechanisms of accidents. Therefore, predictive analysis that provides explainable outcomes is necessary for identifying potential risks early, enabling timely interventions, and improving construction safety. Design/methodology/approach A hybrid analytical framework is prop …

03.09.2026journal-article

BMC Health Services Research

Variation in general practitioners’ mental health diagnostic tendencies and subsequent patient care: a Norwegian registry study

Robin Schepers, Schyler Marie Bennett, Kjartan Sarheim Anthun, Andreas Asheim, Ottar Bjerkeset, Gudrun Waaler Bjørnelv, Johan Håkon Bjørngaard, Christina H. Edwards

Abstract Background General practitioners (GPs) are often the first point of contact for adults presenting with symptoms of depression or anxiety. Practices may vary due to patient and physician tendencies, influencing treatment pathways. This study aimed to quantify variation in GPs’ diagnostic tendencies for depression and/or anxiety and their association with subsequent healthcare utilisation and sickness absence. Methods Using linked national registry data from 2008 to 2021, we studied adults assigned a new GP …

03.09.2026journal-article

Nature Machine Intelligence

NucleicBERT interprets RNA sequence space through self-supervised language modelling

Utkarsh Upadhyay, Julian Herold, Markus Götz, Alexander Schug

Abstract Much of the human genome’s non-protein-coding fraction acts directly through RNA, yet the structural and functional roles encoded in these sequences remain poorly understood. Applying deep learning is hindered by scarce RNA structural data and it remains unclear what biological constraints such models can recover directly from the abundant RNA sequences alone. Here, to address these challenges, we developed NucleicBERT, a self-supervised masked-language model that learns contextual representations from sin …

03.09.2026journal-article

Frontiers in Mammal Science

New quantitative data from a digital cranial endocast of Kryptobaatar dashzevegi (Multituberculata, Mammalia) and a new estimate of body mass

Thomas E. Macrini, Timothy Rowe

We extracted a digital cranial endocast from a high-resolution X-ray computed tomography scan of a specimen of the Late Cretaceous Mongolian multituberculate Kryptobaatar dashzevegi . The digital endocast shows qualitative and quantitative differences from a previously published description of a natural endocast of K . dashzevegi . In particular, the endocranial volume (EV) of the digital endocast, measured from high-resolution X-ray computed tomography (CT) scans of a skull, is considerably smaller than a previous …

03.09.2026journal-article

Frontiers in Sustainable Food Systems

Artificial intelligence adoption and food security in Saudi Arabia: the critical role of water-use efficiency management

Raga M. Elzaki, Omar A. Alkhateeb, Abdulelah A. Alasfour

Introduction Ensuring food security and increasing water-use efficiency have become strategic priorities for Saudi Arabia due to water scarcity, climate change, and rising food demand. Artificial intelligence (AI) advances significant opportunities to improve agricultural productivity and resource management; however, empirical evidence on its dynamic relationship with food security and water-use efficiency remains limited. Methods This study investigates the dynamic relationships among Information and Communicatio …

03.09.2026journal-article

Journal of Community Health Provision

Development and Validation of a Specific PCR Primer for the Detection of the Meca Gene in MRSA

Yohanna Natasya Sihombing, Anastasia Aprilia Bramita, Glorya Natalie Dwi Ananda, Kristina Stefiani Simorangkir, Tommy Yogia, Maroloan Aruan, Gabriella Gita Febriana

Methicillin-Resistant Staphylococcus aureus (MRSA) is a major pathogen responsible for nosocomial infections with high prevalence in Indonesia. The mecA gene encodes beta-lactam antibiotic resistance, making its specific molecular detection crucial for rapid diagnosis and infection control. This study aimed to develop and validate specific PCR primers for detecting the mecA gene in MRSA as a marker of antibiotic resistance. Laboratory experimental research was conducted at the UPH Advanced Biology Laboratory in Nov …

03.09.2026journal-article

Agregat: Jurnal Ekonomi dan Bisnis

Modeling Employee Adaptive Performance Through Digital Mindset, Learning Agility, and Technostress

Athoullah Mondir Athoullah, Iriani Ismail Iriani

This study examines how digital mindset, learning agility, and technostress shape employee adaptive performance within organizations undergoing digital transformation. Using a quantitative explanatory approach, data were gathered from 200 employees employed in technology-driven organizational environments. The proposed framework was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the relationships among the variables. The results indicate that both digital mindset and learnin …

03.09.2026journal-article

Haematologica

Real-world minimal residual disease assessment in multiple myeloma using a standardized flow cytometry approach: feasibility, clinical implications, and immune correlates from a single-center experience

Cirino Botta, Andrea Rizzuto, Maria Speciale, Emilia Gigliotta, Anna Maria Corsale, Francesco Romano, Irene Mussotto, Cristina Aquilina, Andrea Romano, Marta Biondo, Elena Tofacchi, Marta Di Simone, Miriam Sciortino, Fulvio Brucato, Gianluca Guercio, Miriam Di Caro, Anxur Merenda, Stefania Vasta, Concetta Scazzone, Giulia Bivona, Valentina Calò, Marco Pio La Manna, Nadia Caccamo, Francesco Dieli, Sergio Siragusa, Serena Meraviglia

Minimal residual disease (MRD) assessment has emerged as a key prognostic marker in multiple myeloma (MM), with MRD negativity (undetectable MRD, uMRD) correlating with improved progression-free and overall survival. The International Myeloma Working Group recommends standardized protocols for MRD detection, including the EuroFlow-based next-generation flow cytometry (NGF), although its implementation in routine care remains challenging. We evaluated the feasibility and clinical utility of two CE-IVD-approved EuroF …

03.09.2026journal-article

Eastern Mediterranean Health Journal

High insulin injection frequency is a key independent predictor of health-related quality-of-life in diabetic patients in Algeria

Mohammed Nassim Boukli Hacene, Amina Youcef, Meriem Saker, Nawal Brikci-Nigassa, Ali Lounici, Kaouel Meguenni

Background: Diabetes is widely studied in Algeria, but its associated health-related quality-of-life remains underexplored. Aim: To assess health-related quality-of-life and predictors of reduced health-related quality-of-life among Algerian patients with type 1 or type 2 diabetes mellitus receiving insulin therapy. Methods: From July 2019 to February 2020, we interviewed 400 confirmed diabetes patients who had been receiving insulin treatment for ≥6 months at the Internal Medicine Department of Tlemcen University …

03.09.2026journal-article

Diagnostics

Clinical Assessment of Obesity Beyond Body Mass Index: Adiposity Evaluation, Body-Composition Phenotyping and Disease Staging: A Narrative Review

Ion-Vladut Udroiu, Alin Albai, Sandra Lazar, Adina Braha, Laura Gaita, Bogdan Timar, Alexandra Sima

Obesity is usually classified or assessed using the body mass index (BMI), mainly because BMI is simple and easy to apply. Its simplicity is also its main weakness. BMI does not measure fat mass, fat-free mass, or fat distribution. This is a relevant limitation, since individuals with the same BMI may have different amounts of visceral adipose tissue and different cardiometabolic risks. Recent recommendations from the Commission on Clinical Obesity also emphasize that BMI should be used mainly as a screening tool, …

03.09.2026journal-article

Pacing and Clinical Electrophysiology

Association Between Global Longitudinal Strain and Pacing‐Induced Cardiomyopathy: A Systematic Review and Meta‐Analysis

David T. Zhang, Rachel M. Suen, Sakshum Chadha, Kenney Abraham, Matthew Pelletier, Noelle N. Mann, Michael Tao

ABSTRACT Background High right ventricular pacing burden is a well‐established risk factor for the development of left ventricular dysfunction and pacing‐induced cardiomyopathy (PICM). However, identification of post‐implant patients at risk for PICM remains challenging. This meta‐analysis evaluated the association between global longitudinal strain (GLS) by speckle tracking echocardiography (STE) and the risk of subsequent development of PICM in patients who undergo pacemaker implantation. Methods We searched the …

03.09.2026journal-article

Journal of Educational Evaluation for Health Professions

Development and initial validation of an instrument measuring the perceived importance of core competencies for clinical nurse educators in Korea: a methodological study

Heui-Kyeong Kwon, Junmoo Ahn, Kyungsan Seo, Seung-Hee Lee, Eunhee Jung, Yoonjung Lee

Purpose: This study aimed to develop an instrument to assess the perceived importance of core competencies for clinical nurse educators (CNEs) in Korea, defined here as hospital-based nurse educators under the Korean Nursing Act, and to provide initial evidence of its content validity, internal structure, and reliability.Methods: A preliminary 44-item pool, developed from international nurse educator frameworks and the literature, was refined by 8 experts through a 2-round modified Delphi process. A nationwide samp …

03.09.2026journal-article

Journal of Digital Community Services

Pengabdian Masyarakat Pascagempa Bumi Flores melalui Bantuan Kemanusiaan, Pemeriksaan Kesehatan, Fisioterapi, dan Edukasi bagi Lansia di Panti Jompo Padu Wau

Maria Kornelia Ringgi Kuwa, Antonia Rensiana Reong, Marianus Oktavianus Wega, Kristoforus Samson, Mediatrix Santi Gaharpung, Maria Alexandra Wea, Claudiani Darosari, Natalia Carbini Tati, Sesilia Hingi Beribe

Gempa bumi dapat memberikan dampak terhadap kesehatan dan kesejahteraan masyarakat, terutama kelompok lanjut usia yang memiliki kerentanan lebih tinggi terhadap gangguan mobilitas, penurunan fungsi fisik, dan masalah kesehatan lainnya. Kondisi pascabencana memerlukan respons yang tidak hanya berorientasi pada pemenuhan kebutuhan dasar, tetapi juga mencakup pelayanan kesehatan dan dukungan pemulihan fungsi. Kegiatan pengabdian kepada masyarakat ini bertujuan memberikan bantuan kemanusiaan sekaligus pelayanan kesehat …

03.09.2026journal-article

Applied Sciences

Thermal Digital Datasheet: A Standardized Information Representation for Modular Satellite Thermal Management and Graph Neural Network-Based Temperature Prediction

Weijian Pang, Jun Zhou, Jingwen Xu, Xinian Zhi

Modular satellite architectures can shorten development cycles and support flexible mission configurations; however, their thermal management is complicated by inter-module coupling, variable operating conditions, and stringent temperature limits. This study proposes a Thermal Digital Datasheet (TDD) framework that provides a standardized representation of module-level thermal information for data exchange, rapid system analysis, and consistent characterization across suppliers. The TDD organizes the passive therma …

03.09.2026journal-article

Journal on Innovation and Sustainability RISUS

Exploring the harm of cognitive overload content to sustainable consumer choices

Dina S. AlGhamdi, Suleiman Ibrahim Mohammad, Zahid Hussain, Ahmad Moh’d Mansour, Asokan Vasudevan, Ahmad Shaheen

Building on conservation of resources theory (COR) and dual-process theory (DP), we explore how cognitive overload (CO) negatively affects sustainable consumer choices (SCC) in Pakistan’s digital and retail settings. We postulate decision fatigue (DF) as a mediator through which CO impairs consumers’ ability to sustainably purchase products. Further, we also propose digital nudging intensity (DNI) as a moderating factor. The results of a scenario-based experiment (Study 1) involving 392 consumers from Karachi and L …

03.09.2026journal-article

Skin Health and Disease

Late-onset isolated cutaneous histoplasmosis after autologous stem cell transplant in high-risk kappa light-chain myeloma with del(17p13)

Bibhant Shah, Kavya Ronanki, Prisla Dalton, Nikhil Nagpal, Arjun Kachhwaha, Nishant Shah, Uttam Nath

Abstract Histoplasmosis is a dimorphic fungal infection caused by Histoplasma capsulatum, which exists as mycelia-producing infectious microconidia in the environment and as budding yeasts in host tissues. Its clinical presentation ranges from asymptomatic pulmonary infection to life-threatening disseminated disease particularly in immunocompromised individuals. Cutaneous histoplasmosis is rare and typically reflects dissemination rather than isolated involvement. Opportunistic infections following autologous stem …