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24 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
27.08.2026journal-article

Corporate Law & Governance Review

Governing at a distance: The EU AI act and GDPR as twin pillars of digital law and corporate governance

Maria de Lourdes Haynes, Akram Al Matarneh

The rapid global deployment of artificial intelligence (AI) has created governance challenges relating to accountability, privacy, corporate oversight, and regulatory compliance. While the European Union (EU) Artificial Intelligence Act (AI Act) and the General Data Protection Regulation (GDPR) are often analysed separately, limited scholarship has examined how both frameworks operate together in shaping corporate governance beyond the EU. This article investigates how the AI Act and the GDPR function as complement …

27.08.2026journal-article

Comprehensive Journal of Science

Artificial Intelligence and Writing Skill Development: Emerging Strategies, Opportunities, and Challenges

Sara Alameen Mohammed Soliman

Artificial intelligence (AI) has become an increasingly influential technology in education, offering new opportunities to support the development of writing skills. This literature review examines the major strategies, benefits, and challenges associated with the use of AI for enhancing writing skills. The review highlights several AI-based strategies, including automated writing feedback, grammar and language correction, idea generation, planning, drafting, revision, personalized learning, and vocabulary developm …

27.08.2026journal-article

Frontiers in Artificial Intelligence

Domain-informed density extraction for robust mental health classification of long social media posts

Rafat Hammad, Suha Rababah

Background Recent advances in machine learning and natural language processing (NLP) have enabled the early identification of mental disorders from social media content. Among such platforms, Reddit is characterized by linguistically rich, long-form narratives in which users describe their psychological symptoms, emotions, and personal experiences. However, these datasets present significant challenges for text classification because the posts are lengthy, voluminous, and class-imbalanced. In this study, we revisit …

27.08.2026journal-article

Frontiers in Physiology

Physiological relevance and generation-level stability of artificial intelligence-generated race-day warm-up and cool-down plans for sprint swimming: an expert-rated comparison of four large language models

TianYue Zhao, YiYao Peng, ZiXin Chen, Xiaojun Wang

Background Large language model (LLM)-based artificial intelligence (AI) tools are increasingly used to generate sport and exercise training content. However, the content quality, sport-specific relevance, safety, and repeated-generation stability of AI-generated race-day plans remain insufficiently examined, particularly in competitive swimming. It also remains unclear how different AI tools may support coaches in drafting, comparing, and refining competition-day preparation plans. Objective This study aimed to co …

27.08.2026journal-article

Halk Sağlığı Hemşireliği Dergisi

The Role of Health Literacy in Osteoporosis Knowledge and Disease Self-Management Behaviors Among Patients with Osteoporosis

Tülay İncirkuş, Cansu Yaman Kantarcı, Asli Kalkım

Objective: The aim of this study was to investigate the relationship between health literacy and osteoporosis knowledge and disease self-management behaviors among patients with osteoporosis.Methods: This descriptive cross-sectional correlational study was conducted over a six-month period in the physical medicine and rehabilitation department of a university hospital in Türkiye. The study sample consisted of 320 patients diagnosed with osteoporosis. Data were collected using a Patient Information Form, the Health …

27.08.2026journal-article

Frontiers in Nuclear Medicine

Artificial intelligence across oncologic theranostics: evidence for patient stratification, dosimetry, and adaptive radiopharmaceutical therapy

Mallareddy Banala, Shabbir Ezuddin, Mark Foley, Russ Kuker

Artificial intelligence (AI) has been studied across radiopharmaceutical therapy (RPT); however, evidence for treatment-changing use remains limited. We conducted a structured narrative review with descriptive mapping of learned models for patient stratification, segmentation, tumor-burden quantification, quantitative preprocessing, dosimetry, toxicity prediction, response assessment, and radiation-safety/logistics support. The mapped set contained 73 direct full journal reports and eight direct conference abstract …

27.08.2026journal-article

Frontiers in Artificial Intelligence

Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art

Braiton U. Mukhalela, Serestina Viriri, David Ndzi, Michael Gebreslasie, Muhammad Zeeshan Shakir, Naeem Ramzan, Fahad Ayaz, Mary Lynch, Llinos Haf Spencer, Saloshni Naidoo, Nisha Nadesan-Reddy, Ozayr Mahomed, Natalie Dickinson, Fiona Henriquez

Extreme rainfall events (ERES) are among the most challenging hydro-meteorological phenomena to forecast because the complex, nonlinear atmospheric processes involved span multiple spatial and temporal scales and are further intensified by rising climate variability. While Numerical Weather Prediction (NWP) models offer physically consistent representations of atmospheric dynamics, they still struggle to resolve localized convection, rapidly evolving storm systems, and rare, high-intensity precipitation events. Thi …

27.08.2026journal-article

Middle East Policy

Iran's Revolutionary Situation and Digital Authoritarianism: 1979 vs. 2026

Mohsen Askari

Abstract In December 2025, Iran faced weeks of mass protests. However, the Islamic Republic survived after imposing a near‐total internet blackout and a violent crackdown, with reported deaths in the thousands and tens of thousands arrested. Predictions that the regime could collapse prompt a central question: when does protest under digital authoritarianism become a revolution? This article argues that a revolutionary situation requires four mechanisms: coordination of private opposition into mass demonstrations, …

27.08.2026journal-article

npj Digital Medicine

Ensuring trustworthy AI assisted guideline development for clinical practice

Quan Zhang, Yuanyuan Fu

Abstract Li et al. introduce Quicker, an agentic large language model system that drafts clinical guideline recommendations through a GRADE-based workflow. Building on gaps in the authors’ own evaluation, we propose safeguards for trustworthy use: verifiable, design-aware evidence bundles with explicit scope; calibrated, uncertainty-aware deferral; targeted human validation and modular quality gates; and governance against contamination and over-reliance. Trustworthiness, however, is necessary but not sufficient fo …

27.08.2026journal-article

Clinical Case Reports

Giant Recurrent Substernal Goiter Causing Severe Compression of Mediastinal Vessels 25 Years After Total Thyroidectomy: A Case Report

Mohammad Shbat, Mohammad Almatarneh, Razan Ali, Mohammad Abd‐Alrahman Saif, Fatema Almoustafa, Mohammad Obada Alsadi, Najah Aloudat, Youness Souleiman

ABSTRACT Recurrent substernal goiter can develop decades after total thyroidectomy due to microscopic residual tissue. It must be considered in the differential diagnosis of giant mediastinal masses. When severe airway or vascular compression occurs, definitive management typically requires an extracervical approach, such as a complete median sternotomy, for safe resection.

27.08.2026journal-article

PLOS Digital Health

Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T cell therapy using large language models

Jordan Guillot, Brenda Miao, Arvind Suresh, Madhumita Sushil, Christopher Y. K. Williams, Rohit Vashisht, Tomiko T. Oskotsky, Marina Sirota, Atul J. Butte

Chimeric Antigen Receptor T-cell (CAR‑T) therapy, genetically engineered patient T cells targeting tumor antigens, has transformed care for hematologic malignancies but requires careful tracking of adverse events (AEs) often documented only in unstructured electronic health record (EHR) notes. We evaluated a Large Language Model (LLM)–based approach in UCSF’s secure environment to extract AEs, dates, grades, and interventions within 30 days post‑infusion for six commercial CAR‑T products (2012–2023), benchmarking a …

27.08.2026journal-article

PLOS One

Household wealth is associated with child stunting but not wasting: Evidence from the 2024 Nigeria Demographic and Health Survey

John Adeleke

Child undernutrition remains a significant population health challenge in Nigeria and sub-Saharan Africa. Existing research has established an association between socioeconomic factors and child undernutrition, but less attention has been paid to whether the socioeconomic gradient is similar across indicators that capture different underlying processes. Drawing on fundamental cause theory, this study examines the association between household wealth and child stunting and wasting in Nigeria, and the extent to which …

27.08.2026journal-article

PLOS One

Social media addiction, maternal mental health, and children’s oral health behaviours among immigrants

Solmaz Bohlouli, Devarasa Murugeshappa, Babak Bohlouli, Maryam Amin

Objectives Oral health disparities persist among immigrants. Little is known about how social media shapes the socio-psychological environment in which parenting and health behaviours occur. This study examined the link between immigrant mothers’ anxiety and depression and children’s oral health behaviours (OHBs) and evaluated social media addiction as a mediator or moderator. Methods This cross-sectional study recruited immigrant parents of children aged 2–12 years in Edmonton, Canada. Parents completed a question …

27.08.2026journal-article

International Journal of Pattern Recognition and Artificial Intelligence

A Low-Energy Vision-Language Pattern Recognition Method for Design Style Analysis and Generative Evaluation in Art Design Education

Jing Huang, Lingling Xiao

To address the problems that style recognition of student works in art design education relies heavily on teachers experience, generative evaluation feedback tends to be generalized, and multimodal models usually involve high inference energy consumption, this paper proposes a low-energy vision-language pattern recognition method, namely LE-VLPR. The proposed method takes design images, work descriptions, task requirements, and teacher rubrics as inputs, constructs a design style prompt graph, and achieves alignmen …

27.08.2026journal-article

International Journal of Pattern Recognition and Artificial Intelligence

CGAC: A Convolutional Bidirectional GRU Network with Temporal Attention for WiFi CSI-Based Human Activity Recognition

Lili Cai

WiFi channel state information (CSI) can characterize wireless-channel variations induced by human activities without directly capturing identifiable visual content, providing a contactless technical approach to indoor human activity recognition (HAR). To address the difficulty of a single convolutional or recurrent network in simultaneously modeling local fluctuations, long-range temporal dependencies, and key action segments, this paper proposes CGAC, a model that integrates convolutional bidirectional gated recu …

27.08.2026journal-article

International Journal of Cosmetic Science

New insights from data analysis of 12 global clinical studies on hair shedding

Yingjie Li, Shengnan Lin, Sarah Paterson, Tony Dadd, Jiayin Gu, Ranjit K. Bhogal, Zulfa Hudaya, Hepsy Y. Selliah, Mingming Pu, Jianing N. Sun

Abstract Excessive hair shedding continues to be a major concern for individuals, negatively affecting their wellbeing and confidence. This research analysed 12 clinical studies involving 805 participants (323 males and 482 females) across eight countries (China, Indonesia, UK, India, Brazil, Thailand, Turkey and US) with concerns about hair loss. Two recent studies in China and a study in Indonesia were investigated in depth, focusing on hair shedding and breakage conditions, and age‐related differences in hair sh …

27.08.2026journal-article

PRX Intelligence

Long-Range Machine Learning of Electron Density for Twisted Bilayer Moiré Materials

Zekun Lou, Alan M. Lewis, Mariana Rossi

Moiré superlattices in two-dimensional materials exhibit rich quantum phenomena, but modeling of these systems remains computationally prohibitive. Existing machine learning methods for accelerating density-functional theory can target the prediction of different quantities and often rely on the locality assumption. Here, we train a Gaussian process regression model for symmetry-adapted learning of three-dimensional electron densities exclusively on the electron densities of small displaced bilayer structures and t …

27.08.2026journal-article

Frontiers in Public Health

Climate-related health risks and payer-specific health expenditure growth: empirical evidence from government, social, and out-of-pocket health expenditure in China

Cunkun Zhang, Qunshan Tao

Background Climate-related health risks may coincide with healthcare needs, service disruptions, and preparedness demands, yet the associated expenditure is distributed across public budgets, collective financing, and households. Evidence rarely shows whether multidimensional climate-risk profiles are associated with expenditure growth across these financing channels. We examined associations between four climate-risk dimensions and real growth in government, social, and out-of-pocket (OOP) health expenditure in Ch …

27.08.2026journal-article

Clinical Spine Surgery

Revisiting the Incidence and Risk Factors for Cervical Postlaminectomy Kyphosis

Takashi Hirase, Colten Rowan, Thomas Jacob, Max Sadlowski, Sree M. Vemu, Austin Nguyen, Gregory S. Kazarian, Kevin J. DiSilvestro, Rex A.W. Marco, Todd J. Albert, Han J. Kim

Study Design: Systematic review. Objective: To perform a systematic review that investigates the incidence and risk factors for cervical postlaminectomy kyphosis. Summary of Background Data: There is a wide range of incidences and risk factors for cervical postlaminectomy kyphosis reported within the literature. Definitive recommendations on indications and technical considerations to minimize this complication remain elusive. Methods: A systematic review was registered with PROSPERO and conducted in accordance wit …

27.08.2026journal-article

Cadernos Cajuína

Protagonismo estudantil e cultura digital: caminhos para uma aprendizagem geográfica ativa

Leonardo Aparecido de Vicente da Silva

Este artigo discute as relações entre protagonismo estudantil, cultura digital e ensino de Geografia, com atenção às situações em que os estudantes deixam de apenas consumir informações e passam a produzir mapas digitais, vídeos, podcasts, fotografias, infográficos, narrativas sobre o lugar, registros de campo, conteúdos para redes sociais e produções apoiadas por inteligência artificial. O problema que orienta o estudo consiste em compreender como essas linguagens podem favorecer uma aprendizagem geográfica ativa …

27.08.2026journal-article

Aperture Neuro

Large-Scale Open Science Simulated Data to Study the Development of Brain and Behavior Relationships: Epidemiologic, Clinical, and Neuroimaging Characteristics

Tonya White, Neda Sadeghi, Luke Norman, Vince Calhoun, Philip Shaw

Both brain and behavior undergo considerable changes during adolescence, a time synonymous with the emergence several psychiatric disorders, including mood and psychotic disorders. Multiple studies have explored the interaction between brain and behavior during childhood and adolescence, with both mixed and convergent findings between the studies. One challenge is that different longitudinal models can be applied to both the same or similar dataset and yet yield different results. Without knowing the ground truth, …

27.08.2026journal-article

Pedagogical Review

Возможности генеративного искусственного интеллекта для развития критического мышления обучающихся

Михаил Александрович Червонный, Наталия Николаевна Абакумова

В условиях цифровой трансформации системы общего образования формирование критического мышления обучающихся становится одной из ключевых метапредметных задач, закрепленных в федеральных государственных образовательных стандартах. Внедрение генеративного искусственного интеллекта (ГИИ) в учебный процесс создает как новые возможности для развития когнитивных способностей школьников, так и существенные риски снижения их познавательной самостоятельности и критичности. Цель статьи – теоретическое обоснование и системати …

27.08.2026journal-article

Regional Economics Theory and Practice

Human capital mobility in the digital economy: Features of remote work and its impact on spatial development

Pavel M. DASHKEVICH

Subject. Remote work as a factor in the spatial mobility of human capital. Objectives. Comparing different remote work setups, identifying the pros and cons of new ways of organizing work. Methods. General scientific research methods were applied. Results. Permanent remote work basically eliminates commuting labor migration and leads to an increase in long-term interregional population movements. Temporary remote work (partially remote, hybrid jobs) reduces cyclic movements within settlements in favor of commuting …