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

Priviet Social Sciences Journal

The role of social connectedness in employee mental health with self-esteem as mediator in the Jabodetabek area

Shafa Zalikha Putri, Zamralita Zamralita, Reza Fahlevi

The purpose of this study was to test whether social connectedness predicts the mental health of employees in the Jakarta, Bogor, Depok, Tangerang, and Bekasi (Jabodetabek) region while treating self-esteem as a variable that might mediate the link. Participants were recruited through convenience sampling, a non-probability approach, yielding 324 workers drawn from a range of job types. The measurement relied on three tools: the Mental Health Continuum–Short Form (MHC-SF) for overall mental health, the Social Conne …

27.08.2026journal-article

Clinical and Translational Medicine

NSUN4‐dependent m5C modification facilitates mitochondrial fission to accelerate diabetic nephropathy process via regulating SMURF1/CAMK1 axis

Danyi Yang, Yinyin Chen, Hao Li, Guoyong Liu, Yang Gao, Liyu He

Abstract Background NOP2/Sun RNA methyltransferase family member 4 (NSUN4)‐mediated 5‐methylcytosine (m5C) modification has been implicated in diabetes‐related diseases. However, its role and molecular mechanism in diabetic nephropathy (DN) remain unclear. Methods DN mouse model was constructed by injecting with streptozotocin (STZ). High glucose (HG)‐induced HK‐2 cells were used to establish a cellular model of DN. The levels of NSUN4, SMAD ubiquitination regulatory factor 1 (SMURF1), calcium/calmodulin‐dependent …

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

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

Environmental Research: Health

From neighbourhoods to housing: heat exposure disparities among pregnant parents and preterm births in Los Angeles County

Hasibe Caballero-Gomez, Qi Meng, Jennifer Brady, Frederick J Zimmerman, Lara J Cushing

Abstract Elevated ambient temperatures are associated with preterm birth which disproportionately occurs among ethno-racially and socio-economically marginalized populations. Existing literature on the reproductive health effects of heat primarily explores ambient temperatures, neglecting individual-level differences in exposure to extreme temperatures due to factors like housing, occupation, and neighbourhood land cover. To address these individual differences, we linked 2015 - 2019 Los Angeles County administrati …

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

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

Journal of Social Research

Transforming English Speaking Instruction Through Digital Technology Integration: A Systematic Literature Review

Fajar Nurjaman, Bagaskara Nur Rochmansyah

Speaking is one of the most challenging language skills for English as a foreign language (EFL) learners to master, while advances in digital technology have created new opportunities to address this challenge. This study aimed to identify the types of digital technologies used in English speaking instruction, analyze their effectiveness, and describe the challenges associated with their implementation. This study employed a Systematic Literature Review (SLR) method following the PRISMA 2020 protocol. Searches were …

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

International Journal of Clinical and Experimental Medical Sciences

Biofilm Formation and Detection of the icaA Gene in Staphylococcus Aureus Isolates from Ocular Infections

Karar Abdulkhuder, Mahmood Awad

Background: Staphylococcus aureus is a major opportunistic pathogen implicated in various infections, including ocular infections. One of its key virulence factors is the ability to form biofilms, which are structured bacterial communities embedded in a self-produced extracellular matrix. Biofilm formation enhances bacterial survival under adverse conditions, including antibiotic exposure and host immune defenses, thereby contributing to chronic and recurrent infections. Aim: This study aimed to evaluate the biofil …

27.08.2026journal-article

Journal of Learning Analytics

Driving Personalised and Adaptive Professional Competencies with Generative AI and Learning Analytics: Pioneering Applications in Health Professions Education

Bernard Bucalon, Lixiang Yu, Tim Shaw, Dragan Gasevic, Judy Kay, Anna Janssen

Professional learning environments offer a unique opportunity for exploring professional competencies due the use of workplace data which captures important aspects of professional performance. These data are different from those used in formal learning analytics contexts, as they are not collected by systems designed to understand learning. Instead, workplace data represents the digital fingerprint professionals leave behind when interacting with technologies to do their jobs. Harnessing these data to support work …

27.08.2026journal-article

Financial Analytics Science and Experience

Analysis of clusters of Russian companies by level of development of digital transformation

Elena A. FEDOROVA, Bela S. BATAEVA, Anna D. GRACHEVA

Subject. Digital transformation of Russian public companies as a multilevel and heterogeneous process, including the introduction of artificial intelligence, big data, cloud computing, blockchain and applied digital technologies, as well as its reflection in corporate reporting. Objectives. Identification of empirical types (clusters) of digital transformation of Russian public companies based on a text analysis of annual reports for 2014–2024. Methods. The method of text analysis is used to measure the intensity o …