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23 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
03.09.2026journal-article

Online Journal of Public Health Informatics

Global Trends in Phenylketonuria Treatment Research, 2000-2025: Bibliometric Analysis

Sitong Yang, Kaichao Song, Qingbo Chen, Jiandong Jiang, Lulu Wang

Abstract Background Phenylketonuria (PKU) is the most common inborn error of amino acid metabolism, and if untreated, leads to severe neurocognitive impairment. Over the past 2 decades, treatment strategies have evolved from strict dietary phenylalanine restriction to include pharmacological therapies such as tetrahydrobiopterin and, more recently, enzyme substitution with pegvaliase. Despite these advances, significant heterogeneity exists in global research priorities, collaboration patterns, and the translation …

03.09.2026journal-article

Trends in Higher Education

Toward a Digital Emotional-Intelligence Tool for Faculty Motivation: A Self-Determination Theory-Grounded Feasibility Study of Theory-Guided Message Personalization

Jamilya Akhmetova, Oleksandr Kuznetsov, Nurzhamal Oshanova, Askhat Zhilkishbayev

Most computational work on emotional intelligence in education targets students; where the emotional states of teaching staff are modeled at all, the signal is typically a static questionnaire score rather than an input to an automated response. This study asks a narrower question: does routing a detected emotion through Self-Determination Theory—rather than naming the emotion, or using generic language—produce a message that university faculty themselves rate as better, and does that advantage survive once the und …

03.09.2026journal-article

INTERNATIONAL JOURNAL OF HUMANITIES AND LEARNING TECHNOLOGY INNOVATION (IJHLT)

BLENDED LEARNING APPROACHES FOR IMPROVING HUMANITIES EDUCATION IN THE DIGITAL ERA

Dr.M.Kotteshwari

The digital transformation of education has significantly influenced teaching and learning practices across disciplines, including humanities education. Blended learning, which combines traditional face-to-face instruction with digital and online learning methodologies, has emerged as an effective educational approach in the digital era. Humanities education, traditionally centered on critical thinking, cultural understanding, interpretation, and discussion-based learning, can greatly benefit from blended learning …

03.09.2026journal-article

Contemporary Review of the Middle East

Digital Diaspora, Social Memory, and Resistance: The Construction of Turkish Diasporic Identity in Germany

Salih Tiryaki, Rahma M. K. Mohammed

This study uses a netnographic approach to explore identity and belonging within the Turkish digital diaspora in Germany, focusing on the DiasporaTürk X account. It shows that digital platforms serve as spaces for cultural expression, collective memory, solidarity, and resistance. The analysis reveals that diasporic identity is fluid and negotiated through transnational interactions, forming a hybrid sense of belonging between Türkiye and Germany. Five core themes emerged: (a) Migration and Diaspora Formation, cent …

03.09.2026journal-article

INTERNATIONAL CRIMINAL LAW AND INTERNATIONAL JUSTICE

Financial Monitoring and Financial Intelligence: A Conceptual Approach to Distinguishing the Concepts

Egor K. Ovchinnikov

In this paper, the author carries out a research on a number of fundamental theoretical concepts used in the antimoney laundering, countering the financing of terrorism, extremist activity and countering the proliferation financing sphere. In particular, various approaches to understanding the term “financial monitoring” formed in the Russian doctrine are considered, and arguments are put forward justifying the necessity of their adjustment. The author suggests definition of the concept of “financial monitoring”, w …

03.09.2026journal-article

Frontiers in Health Services

Patient misidentification and data integrity risks in ultrasound imaging: a case report using multi-framework incident analysis

Benedicta Osei-Donkor, Abdallah Hassoun, Md Shafiqur Rahman Jabin

Background Digital imaging workflows depend on accurate scheduling, patient identity reconciliation, and reliable metadata continuity to ensure safe image storage and retrieval. Disruptions in these processes may not directly affect image acquisition but can delay access to imaging information and pose significant patient safety risks. Objective To examine a recurrent ultrasound workflow failure that compromised downstream image availability and to identify practical strategies for preventing recurrence. Methods A …

03.09.2026journal-article

Journal of Clinical Medicine

The Impact of Glucagon-like Peptide-1 (GLP-1) Receptor Agonists on Body Composition in Individuals with Overweight and Obesity: A Systematic Review and Meta-Analysis

Miłosz Woźniak, Zofia Tarcz, Gabriela Pyczek, Julia Bogacka, Andrzej Diniejko, Alina Kuryłowicz, Artur Mamcarz, Daniel Śliż

Background/Objectives: Excess adipose tissue is associated with adverse changes in muscle metabolism and body composition. GLP-1 receptor agonists (GLP-1 RA) have transformed the treatment of obesity; however, concerns remain regarding the potential impact of treatment-associated weight loss on lean mass. This study aimed to evaluate the effects of GLP-1 RA on body composition in adults with obesity without type II diabetes mellitus (T2DM), with a particular focus on changes in lean mass. Methods: A database search …

03.09.2026journal-article

Competitio

A logisztikai szektor dolgozóinak digitalizáció iránti motivációja a személyiségjegyek függvényében

Patrik Urbán

Digitalization has become a key driver of economic and organizational development, fundamentally transforming the operation of the logistics sector. In this process, it is especially important to understand what motivates employees working in logistics to adopt digitalization, and how their personality traits - primarily extraversion - affect their openness to technology. Based on a questionnaire measuring Eysenck’s personality dimensions, the findings show that employees have strong internal motivation to use digi …

03.09.2026journal-article

International Journal of Computer Science and Mathematical Theory

Mathematical Modelling of Epidemiological Infectious Disease Transmission Dynamics: Public Health Intervention Strategies

Christiana Nkuturum

This study explores the epidemiological infectious disease transmission dynamics with public health intervention strategies using nonlinear ordinary differential equations with four compartments in a mathematical modeling approach. The study identified two major public intervention strategies as preventive and treatment measures. The findings of this study are that the region D of the subset is a positively-invariant set mathematically and epidemiologically from the model equation (1) as a result of the two interve …

03.09.2026journal-article

Wellcome Open Research

The genome sequence of a weevil, Leiosoma deflexum Redtenbacher, 1858 (Coleoptera: Curculionidae)

Mark G. Telfer, Liam M. Crowley, Xavier Richard Badham, University of Oxford and Wytham Woods Genome Acquisition Lab, Darwin Tree of Life Barcoding Collective, Wellcome Sanger Institute Tree of Life Management, Samples and Laboratory team, Wellcome Sanger Institute Scientific Operations: Sequencing Operations, Wellcome Sanger Institute Tree of Life Core Informatics team, Tree of Life Core Informatics, Darwin Tree of Life Consortium

We present a genome assembly from an individual male Leiosoma deflexum (weevil; Arthropoda; Insecta; Coleoptera; Curculionidae). The assembly contains two haplotypes with total lengths of 628.17 megabases and 629.82 megabases. Most of haplotype 1 (98.22%) is scaffolded into 17 chromosomal pseudomolecules, including the X sex chromosome. Haplotype 2 was assembled to scaffold level. The mitochondrial genome has also been assembled, with a length of 25.14 kilobases. This assembly was generated as part of the Darwin Tr …

03.09.2026journal-article

Sustainability

Lean Practices, Process Innovativeness, Digital Transformation, and Value Impact in New Energy Vehicle Manufacturing: An Integrated Resource-Optimization Framework

Zhenyu Tang, Tachakorn Wongkumchai, Uswin Chaiwiwat

New energy vehicle (NEV) manufacturers must reduce operational waste while adapting to technological change and preserving long-term value. This study tests an integrated model linking Lean Practices, Process Innovativeness, Digital Transformation, and Value Impact. Of 500 survey invitations distributed across China’s NEV supply chain, 400 complete responses passed a broad screen; 49 cases reporting less than one year of lean or digital implementation were subsequently excluded, yielding a duration-consistent prima …

03.09.2026journal-article

AI Policy Exchange Forum

Operationalising AI Ethical Principles in Higher Education with the UNESCO Recommendation on the Ethics of Artificial Intelligence by Policy Makers and Global Universities

Tatjana Titareva, Grace Thomson, Irēna Barkāne, Assel Csonka-Stambekova, Yixin Dai, Chris Glass, Fatima Roumate

The rapid use of artificial intelligence (AI) tools in higher education creates new governance challenges. Universities worldwidae face growing concerns about safety, privacy, unfair algorithms and threats to learning process and academic integrity. Without proper governance systems, AI tools’ adoption risks increasing inequalities, reducing learning quality and violating the fundamental rights of students and educators. The UNESCO’s “Recommendation on the Ethics of Artificial Intelligence” adopted in 2021 represen …

03.09.2026journal-article

Journal of Medical Clinical Case Reports

Digital Distrust: Patient-Centred Communication and the Calibration of Epistemic Reliance in the Era of Online Self-Diagnosis and AI Symptom Checkers

Nonye Tochi Aghanya, Osinakachi Akuma Kalu

Background: Patients are coming to consultations informed by search engines, social media and generative AI. Clinicians may characterize this as distrust of clinicians. Actualities are messier, and our language for talking about how communication breaks down is limited. Purpose: Operationalize the concept of digital distrust, disambiguate it from related concepts with which it is often confused, and report a communication framework grounded in theory for clinical practice. Methods: Methodology is an interpretive co …

03.09.2026journal-article

Advanced Functional Materials

Artificial Intelligence for Functional Battery Materials: From Multimodal Mechanism Mining to Closed‐Loop Autonomous Optimization

Zhiqiang Wang, Yang Zhou, Wujie Song, Xingjian Yao, Kunfeng Chen, Jun Liu, Dongfeng Xue

ABSTRACT Artificial intelligence (AI) is reshaping battery‐materials research, but its value extends beyond prediction accuracy on static datasets. Functional battery materials involve strongly coupled chemical, structural, electrochemical, interfacial, and processing variables, requiring contextualized data, mechanistic credibility, uncertainty assessment, and experimental validation. This review presents a unified framework connecting multimodal data infrastructure, task‐matched AI models, mechanism mining, and c …

03.09.2026journal-article

Frontiers in Dental Medicine

Curcumin as an adjunct in periodontal therapy: local effects, delivery systems, and clinical perspectives

Ana Carolina Aparecida Rivas, Mario Taba, Paola Gomes Souza

Curcumin, the active polyphenol in turmeric (Curcuma longa), is well-known for its anti-inflammatory, antioxidant, and antimicrobial properties, making it a promising therapeutic agent for a range of diseases, including neuroinflammatory conditions and periodontal disease. Periodontitis, a prevalent oral disease, is associated with chronic inflammation and bacterial infection. Curcumin has demonstrated antibacterial effects against periodontal pathogens such as Aggregatibacter actinomycetemcomitans, Porphyromonas g …

03.09.2026journal-article

Frontiers in Oncology

Analysis of clinical features and outcomes in a Chinese cohort with ALK fusion across pan-cancer: a retrospective study

Meng Zhang, Yi Feng, Xue Du, Changda Qu, Meizhu Meng, Meiying Ye, Min Liang, Ziran Yang, Wenjuan Gong, Xingyu Ma, Jialiang Guo, Wenmei Li, Shuqin Jia

Background ALK fusions are validated oncogenic drivers, yet their molecular heterogeneity and therapeutic implications remain poorly characterized. This study defined the landscape of ALK fusion partners, EML4-ALK variants, and co-mutations and their impact on treatment responses in a large Chinese pan-cancer cohort. Methods We retrospectively analyzed 16,335 consecutive pan-cancer patients via next-generation sequencing to identify ALK fusions. Clinical characteristics, fusion partners, co-mutations, and treatment …

03.09.2026journal-article

Reslaj: Religion Education Social Laa Roiba Journal

Aktivitas Belajar Mandiri Santri Berbasis Teknologi Digital untuk Mengasah Kreativitas di Pesantren

Nadia Safira Firdaus, Estu Miyarso

The development of digital technology has brought significant transformations to education, including Islamic boarding school (pesantren) environments. This study aims to describe the self-directed learning (SDL) activities of santri in utilizing digital technology to enhance creativity at Pondok Pesantren An Nawawi Berjan, Purworejo. A qualitative descriptive approach with a case study design was employed. Data were collected through three-week direct observation, in-depth interviews, and documentation involving s …

03.09.2026journal-article

Clinical Chemistry and Laboratory Medicine (CCLM)

Translating analytical performance into clinical misclassification risk: a probabilistic framework for HbA 1c interpretation

Lorenza Fagnani, Rita Tennina, Pierangelo Bellio, Patrizia Frascaria, Marco Rossi, Sabrina Viggioni, Moira Tucceri Cimini, Consuelo Scimia, Alessandra Piccirilli, Mariagrazia Perilli, Fabio Antonelli, Giuseppe Celenza

Abstract Objectives Using HbA 1c for diabetes diagnosis directly links analytical uncertainty to patient classification. Since traditional performance metrics provide limited insight into these clinical implications, we developed a probabilistic framework to translate HbA 1c concentrations and components of analytical uncertainty into clinically interpretable diagnostic risk. Methods The framework was applied to 100,472 HbA 1c results obtained from a real-world Laboratory Information System. Analytical bias, analyt …

03.09.2026journal-article

Sage Sphere International Journal

Cirugía laparoscópica versus cirugía robótica en la resección de tumores hepáticos: resultados y beneficios clínicos

Joel Sebastian Chango Yosa, Kelvin Alejandro Torres Quezada, Anthony Bryan Cevallos Falcones, Dana Isabel Morales Figueroa, Alonso Patricio Espinoza Ayala

Introducción: La resección hepática constituye el tratamiento principal de diversos tumores hepáticos. Los abordajes laparoscópico y robótico han ampliado las posibilidades de cirugía mínimamente invasiva, especialmente en procedimientos técnicamente complejos. Objetivo: Sintetizar la evidencia científica sobre los resultados y beneficios clínicos de la cirugía laparoscópica versus robótica en la resección de tumores hepáticos. Metodología: Se realizó una revisión bibliográfica narrativa mediante búsquedas en PubMe …

03.09.2026journal-article

Street Art & Urban Creativity

SYNAPCITY-DT: AI-Driven Urban Energy Intelligence for Smart Cities

Tareq Anwar Shikdar, Hannu Laaksonen

This study presents SYNAPCITY-DT, an AI-driven urban energy digital twin framework for adaptive renewable energy operation under uncertainty. The framework integrates probabilistic photovoltaic forecasting, risk-aware battery energy storage optimization, and operational intelligence within a unified digital twin environment. Using real operational data from a utility-scale PV–BESS system in Finland, the framework evaluates uncertainty propagation across forecasting, planning, and operational decision-making. Result …

03.09.2026journal-article

Clinical Journal of the American Society of Nephrology

Predictive Value of Urine Tubular Biomarkers on Kidney Outcomes

Greco B. Malijan, William G. Herrington, Parminder K. Judge, Rebecca J. Sardell, Daniel Chapman, Michael Hill, Stewart Moffat, Doreen Zhu, Alfred K. Cheung, Dominik Steubl, Martin J. Landray, Christoph Wanner, Colin Baigent, Richard Haynes, Joachim H. Ix, Natalie Staplin, Michael G. Shlipak, on behalf of the EMPA-KIDNEY Collaborative Group

Background Urine tubular biomarkers have previously been associated with chronic kidney disease (CKD) progression independently of estimated glomerular filtration rate (eGFR) and albuminuria. We evaluated whether nine urine tubular biomarkers could improve prediction of kidney failure beyond serum creatinine and urine albumin-to-creatinine ratio among adults with CKD. Methods Among 5100 participants in EMPA-KIDNEY, a randomized trial which assessed the effects of empagliflozin 10 mg versus matching placebo among pa …

03.09.2026journal-article

Clinical Science

IRAP deficiency preserves renal function and attenuates pathology in aged mice

Sarah L Walton, Aneesa Ansari, Katrina M Mirabito Colafella, Lucinda M Hilliard Krause, Giannie Barsha, Michelle M Kett, Siew Yeen Chai, Vesna D Garovic, Kate M. Denton

Senescent cell accumulation and fibrosis play a fundamental role in kidney ageing. Our aim was to determine whether the angiotensin IV/insulin-regulated aminopeptidase (IRAP) axis of the renin-angiotensin system contributes to renal function decline, fibrosis and senescent cell accumulation in aged mice. We studied the role of IRAP in kidney aging using IRAP knockout mice, as well as in wildtype mice treated with an IRAP inhibitor. Complementary proximal tubule and collecting duct cell models were used to determine …

03.09.2026journal-article

INTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGY

Artificial Lift System in Niger-Delta Oil and Gas Production: A Review

Lilian Enyang Ndoma-Egba

Artificial Lift is the method of introducing energy to a flow channel within completion jewelry to improve flow rate. This is done to when the inflow performance relation (IPR) is less than VLP. Artificial lift systems are essential in sustaining production from mature oil and gas wells where natural reservoir energy is insufficient to transport fluids to the surface. This paper presents a structured review of artificial lift technologies deployed in the Niger Delta, with emphasis on gas lift systems, electrical su …