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

Journal of Law and Bibliometrics Studies

Mapping the Global Research Landscape of Problem-Based Learning in Digital Learning Environments: A Bibliometric Analysis Toward Achieving SDG 4

Hanan Zaki Alhusni, Binar Kurnia Prahani, Budi Jatmiko, Riski Ramadani, Noer Risky Ramadhani, Lindsay Natalia Bergsma, Abd. Hadi Bunyamin

Objective: The study aims to map the global research landscape of Problem-Based Learning (PBL) in Digital Learning Environments (DLE) using a bibliometric approach. The objective is to identify publication trends, major contributors, collaboration patterns, and emerging research themes supporting the development of sustainable digital education aligned with Sustainable Development Goal 4 (SDG 4). Method: The analysis was conducted on 2,134 documents retrieved from the Scopus database covering publications up to 202 …

27.08.2026journal-article

Elicit Journal of Education Studies

Toward Inclusive Digital Education in Abuja, Nigeria: A Qualitative Study of Adoption Barriers and System-Level Reforms in K–12 Schools

Sunday Temitope Toba, Raphael Ngigi Wanjiku, Jessica Oluchi Nwosu

Purpose: Despite significant global advancements in EdTech that have revolutionised teaching and learning approaches, the adoption of these innovations among schools in Nigeria, particularly Abuja, remains constrained. Factors such as poor digital infrastructure, high data cost, unreliable electricity supply, digital incompetence, socio-economic disparities, and inconsistent school policies towards e-learning integration have collectively hindered progress. This study examines the use of digital learning tools in K …

27.08.2026journal-article

Frontiers in Pain Research

Exploring the associations of cortical connectivity-modulation with clinical and psychological measures in acute low back pain

Sabina Hotz-Boendermaker, Bart Boendermaker, Roman Buechler, Lars Michels

Background Low back pain (LBP) represents a significant global health burden. Transitioning from the traditional “self-limiting” perspective, emerging evidence suggests that neural plasticity and central maladaptation in the acute phase are pivotal in the progression to chronicity. Objectives This study investigated whole-brain functional connectivity and sensorimotor processing during acute LBP. Methods Thirteen participants with acute LBP (<4 weeks duration) underwent clinical, psychometric, and functional mag …

27.08.2026journal-article

AI, Computer Science and Robotics Technology

Distributed Edge Intelligence for Efficient Artificial Intelligence Inference over Sixth-Generation Wireless Networks

B. T. Vijay, M. N. Varshini, R. Chaithra

The recent proliferation of artificial intelligence (AI) applications in mission-critical and latency-sensitive domains, such as autonomous driving, remote healthcare services, smart manufacturing, and immersive extended reality, puts forward requirements on intelligent yet low-latency and scalable computational infrastructures. The underlying reason is that such a transformational paradigm can reduce or circumvent the increasing limitations of traditional cloud-based AI processing, since high communication latency …

27.08.2026journal-article

Pigment International

The divergent management of melasma: a 2026 clinical review comparing traditional standards in lighter photo types to novel athermal and biological modalities in Fitzpatrick IV–VI

Dalitso Namutowe, Yun Xu, Jin Gong

Melasma (historically chloasma) remains a complex, recalcitrant pigmentary disorder affecting millions worldwide. This article elucidates the paradigm shift in management strategies observed in early 2026 for Fitzpatrick III-VI, its comparison with Fitzpatrick I–III, and the transition from aggressive mono-therapies to a multi-layered, synergistic approach. To locate, select, and extract relevant data, a comprehensive search of recent clinical protocols and emerging technological studies was conducted. This literat …

27.08.2026journal-article

International Journal of Molecular Sciences

Hypokalemic Hypochloremic Metabolic Alkalosis in Cystic Fibrosis: A Retrospective Observational Study with Clinical Characterization, CFTR Genetic Profiling, and a Comparative Genetic Analysis with Patients from a Brazilian Reference Center

Andressa Oliveira Peixoto, Larissa Ferreira Selicani, Camila Bento Safi, Daniela Souza Paiva Borgli, Adyléia Aparecida Dalbo Contrera Toro, Nathália Mariana Santos Sansone, Andrea de Melo Alexandre Fraga, Fernando Augusto Lima Marson, José Dirceu Ribeiro

Cystic fibrosis is a genetic disorder caused by pathogenic variants in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene and may be complicated by hypokalemic hypochloremic metabolic alkalosis (HHMA), resulting from excessive electrolyte loss through sweat. This retrospective study aimed to clinically characterize individuals with cystic fibrosis who developed HHMA, characterize their CFTR genetic profile and compare it with that of other individuals with cystic fibrosis followed at a Brazilian te …

27.08.2026journal-article

JURNAL GEOGRAFI

Transforming Prospective Elementary Teachers' Social Studies Learning through Generative AI in the Digital Era

Ruslaini Ruslaini, Amir Mukhlis, Juwita Tindaon, Muhammad Isa

The rapid integration of Artificial Intelligence (AI) into higher education is transforming how prospective elementary school teachers access, interpret, and construct knowledge in Social Studies education. This study examines changes in learning patterns among prospective elementary school teachers in AI-supported Social Studies education, identifies factors associated with these changes, and explores instructional strategies used to maintain critical and reflective learning. Using a qualitative exploratory design …

27.08.2026journal-article

International Journal of Molecular Sciences

From Molecular Pathways to Artificial Intelligence: Advancing the Understanding and Management of Osteosarcopenia

Enrico Buccheri, Anastasia Xourafa, Martina Di Noto, Rita Chiaramonte, Antonino Catalano, Pietro Castellino, Michele Vecchio, Agostino Gaudio

Osteosarcopenia, defined as the coexistence of low bone mass and sarcopenia, is a multifactorial condition influenced by molecular crosstalk between bone and muscle. Growing evidence suggests that this interaction contributes to disease progression and highlights the need for integrated diagnostic and therapeutic approaches. Artificial intelligence (AI) is emerging as an important tool for the clinical management of osteosarcopenia, with potential applications in risk prediction, early diagnosis, evaluation of adve …

27.08.2026journal-article

ICEETE Conference Series

The Influence of Digital Marketing, Personal Branding, and Negotiation on Property Purchase Decision at Brighton Infinite Surabaya

Giovanno J

This study examines the influence of digital marketing, personal branding, and negotiation on property purchase decisions at Brighton Infinite Surabaya. The growing complexity of the property market requires brokers to adopt effective digital marketing strategies, build consumer trust through strong personal branding, and facilitate negotiations that satisfy both buyers and sellers. The research aims to determine whether these three factors significantly affect consumers decisions to purchase property through Brigh …

27.08.2026journal-article

Health, sport, rehabilitation

Differentiating playing roles in professional Counter-Strike 2 by performance indicators: an observational study

Volodymyr Paskiv, Igor Zanevskyy, Volodymyr Koman

Background and purpose. In professional Counter-Strike 2 a single composite rating still carries most of the weight in judging players, even though the game grants no mechanical class asymmetry, so playing roles arise as a codified yet largely unexamined division of labour. We therefore asked whether those roles can be recovered from the standard per-round indicators, and how their differentiation is organised. Material and methods. Under a single twelve-month filter we drew thirty-nine per-round indicators for 105 …

27.08.2026journal-article

Health Research Journal of Indonesia

Pengaruh Edukasi VIDSION (Video and Simulation) Terhadap Pengetahuan dan Keterampilan Ibu Dalam Penanganan Tersedak Balita

Nabella Ayu Dwi Jayanti, Isni Lailatul Maghfiroh, Aprelia Afidatul Hanafi

Pendahuluan: Tersedak merupakan kondisi kegawatdaruratan pada balita yang dapat menyebabkan kematian apabila tidak ditangani secara cepat dan tepat. Rendahnya pengetahuan dan keterampilan ibu dalam memberikan pertolongan pertama memerlukan edukasi yang efektif. Tujuan: Penelitian ini bertujuan mengetahui pengaruh edukasi VIDSION (Video and Simulation) terhadap pengetahuan dan keterampilan ibu dalam penanganan tersedak pada balita. Metode: Penelitian ini menggunakan desain quasi-experimental dengan pendekatan one-gr …

27.08.2026journal-article

Development Service Industry Management

УПРАВЛІННЯ ПРОЄКТАМИ ВПРОВАДЖЕННЯ CRM-СИСТЕМ ТА ТЕХНОЛОГІЙ ШТУЧНОГО ІНТЕЛЕКТУ У СИСТЕМУ АНТИКРИЗОВОГО УПРАВЛІННЯ КЛІЄНТСЬКИМ КАПІТАЛОМ ПІДПРИЄМСТВА

Ніла ТЮРІНА, Тетяна НАЗАРЧУК

The article explores the theoretical and applied foundations of project management regarding the implementation of CRM systems and artificial intelligence (AI) technologies within the enterprise's crisis management system for customer capital. The relevance of the study is driven by the imperative to optimize customer interactions amid digital transformation and high turbulence in the business environment. The study aims to substantiate theoretical and methodological provisions and to develop a conceptual framework …

27.08.2026journal-article

Journal of Education Method and Learning Strategy

Role of Artificial Intelligence in Managing Large Classrooms in Higher Education: A PRISMA-Based Thematic Review

Zaffar Ahmad Nadaf, Sajid Jamal

The rapid expansion of higher education enrolment has created unprecedented challenges in managing large classrooms, prompting institutions to explore artificial intelligence (AI) as a transformative solution. This systematic review, conducted in accordance with PRISMA guidelines, synthesises current research on AI applications in large-class management within higher education settings. A comprehensive search of academic databases yielded 47 studies that met the inclusion criteria, published between 2018 and 2024. …

27.08.2026journal-article

PLOS One

Mental health and family functioning among physically healthy Syrian refugees resettled in Ontario, Canada post 2015: A cross-sectional study

Bahia Abdallah, Abir Abdel Rahman, Safoura Zangiabadi, Hala Tamim

Refugees are often exposed to traumatic experiences before, during, and after migration, placing them at increased risk of mental health problems, including depression, anxiety, and post-traumatic stress disorder (PTSD). This cross-sectional study investigates the relationship between mental health and family functioning among Syrian refugees who resettled in Ontario, Canada, post-2015. The final sample included 398 parents residing in Ontario who reported good to excellent physical health. Validated tools, includi …

27.08.2026journal-article

JAMA Ophthalmology

Digital Defocus Vision Training Using Virtual Reality for Myopia Control

Jing Zhong, Yu Liu, Tianli Peng, Jing Ma, Ziting Huang, Xiao Yang, Shi-Ming Li, Jin Yuan

Importance Virtual reality–based digital defocus vision training (DDVT) may offer a home-based strategy to slow myopia progression in children, but evidence is limited. Objective To evaluate efficacy and safety of a head-mounted virtual reality–based DDVT system on myopia progression. Design, Setting, and Participants This randomized clinical trial was conducted among children aged 6 to 12 years with myopia enrolled in July 2024, with follow-up completed in September 2025. The trial was conducted at a single center …

27.08.2026journal-article

Journal of Clinical Medicine

Drug-Induced Sleep Endoscopy in Pediatric Obstructive Sleep Apnea: Clinical Applications, Classification Systems, and Anesthetic Considerations

Patryk Oskar Manycz, Monika Morawska-Kochman, Jakub Zieliński

Background/Objectives: Drug-induced sleep endoscopy (DISE) enables dynamic, real-time visualization of the level, severity, and configuration of upper airway collapse during pharmacologically induced sleep, providing anatomical information that polysomnography cannot. It is increasingly used to guide individualized surgical planning in obstructive sleep apnea (OSA), particularly in children with persistent OSA after adenotonsillectomy or at elevated risk of surgical failure. However, the absence of a universally ac …

27.08.2026journal-article

Bioengineering

Preliminary Clinical Outcomes of an Alternating-Current-Assisted Implant Surface Decontamination Protocol: A Prospective Case Series with 12-Month Follow-Up

Dorian Kostandini, Antonella Mattei, Giovanni Falisi, Arianna Viarchi, Davide Gerardi, Angelo Bruni, Edra Qorri, Lia A. Hoz-Rodriguez, Eduardo Basañes Rivera, Sofia Rastelli, Roberto Gatto, Marco Severino, Gianluca Botticelli

Background: Treatment of peri-implantitis remains challenging because biofilm removal from microstructured implant surfaces is often incomplete. The present study is an uncontrolled, prospective feasibility case series involving six patients (six implants), not a controlled clinical trial, in which short-term clinical outcomes following use of a multimodal protocol to decontaminate the titanium implant surface were obtained; consequently, the independent contribution of the Ximplant® device to the observed outcomes …

27.08.2026journal-article

Artificial Intelligence for Engineering

Waypoint Navigation of a 2D Drone in Stochastic Environment via Regularised Proximal Policy Optimisation

Ahmet Bilgehan Serçe, Necati Aksoy

ABSTRACT Autonomous navigation of aerial vehicles under stochastic wind disturbances is a challenging control problem that classical fixed‐gain methods struggle to handle reliably. We present a three‐stage training pipeline that combines imitation learning and reinforcement learning for 2D drone waypoint navigation: a cascaded PD expert collects quality‐filtered demonstration trajectories; behaviour cloning (BC) warm‐starts the policy by supervised imitation of those demonstrations; and Proximal Policy Optimization …

27.08.2026journal-article

IoT

Intelligent Transportation Systems: A Review of Integration of Digital Twin and Machine Learning Control

Thit Tun, Hakilo Sabit

This paper presents a comprehensive review of the integration of Intelligent Transportation Systems (ITS) and Digital Twin (DT) technologies for intelligent traffic management. It examines the role of key enabling technologies, including the Internet of Things (IoT), machine learning (ML), deep learning (DL), reinforcement learning (RL), Graph Neural Networks (GNNs), vehicle-to-everything (V2X) communication, and edge computing. These technologies support real-time traffic monitoring, traffic prediction, and adapti …

27.08.2026journal-article

Brazilian Journal of Implantology and Health Sciences

Desafio Diagnóstico e Conduta Cirúrgica em Lesão de Assoalho Bucal: Relato de Caso com Divergência Clínico-Patológica

Davi Barbosa Portela, Helóisa De Colo, Maria Clara Fernandes, Cristiane Elisa Ribas, Alissa Dos Santos Coelho, Eugenio Esteves Costa

Introdução: A rânula é uma lesão cística de extravasamento ou retenção de muco que acomete o assoalho bucal, intimamente relacionada à glândula sublingual. Seu diagnóstico é primariamente clínico, fundamentado em características como coloração azulada, flutuação e localização anatômica. O tratamento varia desde a micromarsupialização até a exérese da glândula sublingual. Objetivos: Relatar um caso clínico de lesão em assoalho bucal com hipótese diagnóstica de rânula, submetida à marsupialização com dreno, destacand …

27.08.2026journal-article

CONSTITUTIONAL AND MUNICIPAL LAW

Constitutional Law of Russia as a Legal Matrix of Digital Transformation: Contemporary Challenges and Strategic Guidelines

Anastasia I. Obraztsova

The article examines the transformation of constitutional law functions in the context of digitalization, analyzing the concept of constitutional law as a “legal matrix” of digital transformation. The constitutional amendments of 2020, the legal positions of the Constitutional Court of the Russian Federation on the limits of artificial intelligence use, and the problems of personal data protection are considered. The author substantiates the need to develop a Concept of Constitutional and Legal Support for Digital …

27.08.2026journal-article

The Journal of Clinical Endocrinology & Metabolism

Effects of Semaglutide versus Bariatric Surgery on Noninvasive Markers of Hepatic Steatosis and Fibrosis in Obesity with MASLD

Paula Lünswilken, Katarzyna Worobiec, Lara S Braun, Julia Altrogge, Andrea Schenk, Lina Jegodzinski, Britta Wilms, Jens U Marquardt, Svenja Meyhöfer

Abstract Aims Obesity is a key driver of metabolic dysfunction-associated steatotic liver disease (MASLD). Beyond lifestyle modification, pharmacological and surgical therapies were recently established. This study compared the effects of lifestyle therapy, lifestyle plus semaglutide, and bariatric surgery on non-invasive markers of hepatic steatosis and fibrosis. Materials and Methods In this single-center, prospective, observational cohort study, ninety-two adults with obesity were analyzed over 72 weeks. Patient …

27.08.2026journal-article

Asian Journal of Economics, Business and Accounting

Artificial Intelligence as a Tool for Reducing Errors in Financial Budget Preparation

Fadhel Allah Ahmed Abed

Financial budget preparation remains vulnerable to errors arising from data extraction and mapping, spreadsheet manipulation, forecast assumptions, version control, judgemental adjustment and weak reconciliation. Artificial intelligence (AI) is increasingly proposed as a means of reducing these errors, yet the evidence base is fragmented across management accounting, accounting information systems, forecasting, robotic process automation, machine learning, anomaly detection and human-AI decision research. This crit …

27.08.2026journal-article

Journal of Microbiology & Biology Education

Survey of student perceptions and use of artificial intelligence when reading primary literature in the biological sciences

Erin L. Zimmer, Michael I. Zimmer

ABSTRACT Artificial intelligence (AI) tools are increasingly used by students in higher education, yet little is known about how they are applied when reading primary scientific literature. This study investigated how undergraduate biology students use AI while engaging with primary research articles and how such use influences confidence, engagement, and perceived learning. Using a mixed-methods design across two institutions, we collected pre-course surveys assessing prior AI experience and attitudes, weekly self …