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

Frontiers in Medicine

Aerosolized antifungal therapy in pulmonary fungal disease: pharmacology, drug delivery and emerging clinical applications

Massimo Caracciolo, Sarah Antonella Caracciolo, Maria Francesca Stagno, Simona Pellicano, Antonino Ripepi, Nadia Pellicano, Clara Scopelliti, Angela Serranò, Antonino Loddo, Stefano La Scala

Pulmonary fungal diseases remain associated with substantial morbidity and mortality, particularly in immunocompromised individuals, transplant recipients, and critically ill patients. Although systemic antifungal therapy remains the cornerstone of treatment, its effectiveness may be limited by suboptimal penetration into selected pulmonary compartments, while systemic toxicity, drug–drug interactions, and prolonged treatment requirements may restrict therapeutic options. Aerosolized antifungal therapy provides a p …

03.09.2026journal-article

BMC Health Services Research

Associations between physical activity in adulthood and utilisation of municipal home and long-term healthcare services in older age: the HUNT study

Aslaug Angelsen, Sigrid Nakrem, Bjørn Heine Strand, Linn Beate Strand

Abstract Background Physical activity is a key component in public health frameworks to maintain functional ability through ageing. In Norway, healthcare services such as home health nursing and long-term institutional stays for older adults account for a significant amount of healthcare expenditures, but little is known about the association between physical activity levels through adulthood and utilisation of these services later in life. To this end, we wanted to explore an association between physical activity …

03.09.2026journal-article

Revista Ensayos Pedagógicos

¿Ruptura o continuidad? La inteligencia artificial generativa en perspectiva histórica

Enrique Carlos Bombelli

The emergence of generative artificial intelligence has intensified debates on learning, intellectual autonomy, knowledge construction, and academic integrity in contemporary educational settings. However, many concerns currently associated with these technologies can be traced back to earlier historical stages of technological incorporation. The aim of this paper is to reflect on generative artificial intelligence from a historical perspective, examining its relationship with previous processes linked to the expan …

03.09.2026journal-article

Public International and Private International Law

Digital Financial Assets and Modern Hawala as a Method of Their Practical Application in International Settlements

Vasily P. Afonin, Aleksandr S. Kiselev

The article describes a method developed by the author for the practical application of CFA in international calculations. The name refers to one of the oldest ways of organizing international settlements — hawala. The method is based on the widespread use of offsetting and was actively used in ancient times, in conditions of high transaction risks. In hawala, well-off merchants played an important role, organizing offsets between various entrepreneurs, acting as intermediaries. Modern sanctions risks also lead to …

03.09.2026journal-article

BANKING LAW

INTEGRATION OF THE DIGITAL RUBLE INTO CROSS-BORDER SETTLEMENTS: PROSPECTS FOR LEGAL REGULATION BASED ON AN ANALYSIS OF INTERNATIONAL EXPERIENCE

Gennadiy P. Tolstopyatenko, Elizaveta A. Khozova

In the context of strengthening international sanctions and the transformation of the global financial architecture, Russia is actively developing the digital ruble project as the third form of the national currency. The relevance of the study is driven by the need to legally regulate the integration of the digital ruble into cross-border settlements, as current legislation lacks coordinated mechanisms for interaction with foreign legal frameworks and does not provide legal certainty for cross-border transactions. …

03.09.2026journal-article

Journal of Clinical Immunology & Microbiology

KinModRe: A Repository of Whole Cell Kinetic Models

Nursakinah Mohamed-Khalid, Nicholas Wei Jun Liew, Felice Jia Ying Ng, Ting Yi Lim, Farhana Abdul-Samathu, Maurice HT Ling

Whole-cell kinetic models represent cellular processes as mechanistic reaction networks governed by kinetic rate laws, enabling simulation of metabolic dynamics and system-level cellular behaviour. Despite their scientific value, executable implementations of such models remain relatively scarce and many published models are distributed only as static descriptions within manuscripts. To address this limitation, we present KinModRe (https://github.com/mauriceling/kinmodre), a repository of executable whole-cell kine …

03.09.2026journal-article

Frontiers in Public Health

Gender disparities in eHealth literacy among Chinese university students and their decomposition

Yuyao Song, Yusupujiang Tuersun, Qingping Zhou, Wenyu Wang, Yao Yu, Chenxi Wang, Hanyue Liu, Yao Wu, Yuying Xie, Zhenning Liang, Yi Qian

Background As a high-frequency user group of the internet, university students’ eHealth literacy not only affects their own health but also has a radiating effect on the health literacy of the entire population. Gender disparities may lead to an imbalance in eHealth literacy among university students, thereby affecting their health status. Understanding these disparities is important from a public health perspective for designing equitable digital health interventions. Methods The eHealth Literacy Scale was used to …

03.09.2026journal-article

Frontiers in Artificial Intelligence

Deep convolutional neural network-based automated identification and classification of mungbean foliar diseases

Shail Bala, S. I. Harlapur, Aditya Kamalakar Kanade, M. P. Potdar, Gurupada B. Balol, V. B. Kuligod, Lingareddy Usha Rani

Early and accurate detection of plant diseases is critical in precision agriculture to improve crop management and yield. Mungbean ( Vigna radiata L.) is highly susceptible to several foliar diseases, including yellow mosaic, powdery mildew, leaf crinkle, and cercospora leaf spot, which cause substantial productivity losses. Despite expanding applications of deep learning in plant disease diagnosis, systematic multi-architecture evaluation for mungbean disease classification under natural field conditions remains l …

03.09.2026journal-article

Frontiers in Psychiatry

Association between insufficient sleep and mental health in preschoolers: effect modification by low household income

Guiting Ren, Jia Wang, Xi Zhang, Shuangyu Li, Mingyue Duan

Background Early childhood mental health problems are prevalent worldwide and can have long-term adverse outcomes. Insufficient sleep has been linked to poorer mental health, but evidence from disadvantaged populations remains limited. We examined this association between insufficient sleep and mental health outcomes in western Chinese preschoolers and whether it varies by demographic and socioeconomic factors. Methods 21,366 children aged 3–6 were recruited using stratified cluster sampling from 189 public kinderg …

03.09.2026journal-article

Frontiers in Public Health

Comparative epidemiology of six respiratory pathogens among children aged 28 days to 14 years with acute respiratory infections in coastal Xiamen and inland Linxia, China: a multicenter retrospective study

Xingxiang Zheng, Hongmei Ma, Jiali Cao, Jumei Liu, Rui Guo, Qunshan Xu, Xiaoli Chen, Shiqiang Han, Huiming Ye

Objective Acute respiratory infections are a major public health problem in children. The epidemiology of pediatric respiratory pathogens has shifted in recent years. This study aimed to compare the epidemiological patterns of six common respiratory pathogens among children with acute respiratory infections (ARI) in Xiamen and Linxia, China. Methods This retrospective study included 5,835 children with ARI from December 2024 to November 2025. Oropharyngeal swabs were tested for rhinovirus (RV), respiratory syncytia …

03.09.2026journal-article

Frontiers in Public Health

Behavioral intention to use mental health chatbots in Saudi Arabia: a cross-sectional UTAUT-based study

Zaenb Alsalman, Abdullah Almaqhawi, Abdullah Almulhim, Anwar Fawzi Alqadeep, Ghadeer Mohammed Almutawah, Fatemah Ali Al Khalifa, Fatima Ramzi Alghadeer, Hawra Adnan Aleid, Walaa Mohammed Alkhalifah, Zainab Abdrabulridha Alabdullah, Safiah Ahmed AlAmer, Marwa Mahmoud Shafey

Background and objectives Despite the growing burden of mental health conditions in Saudi Arabia, sociocultural stigma, privacy concerns, and structural barriers leave a substantial proportion of the population with unmet psychological needs. Mental health chatbots offer an anonymous, accessible, and low-barrier alternative to traditional care, aligning with the Kingdom’s digital health transformation goals. This study investigated factors associated with behavioral intention to use mental health chatbots among adu …

03.09.2026journal-article

Frontiers in Immunology

Analytical validation of a multiplexed peptide microarray for multi-antigen Epstein–Barr virus serological profiling across diverse clinical specimens

Milene Peterson, Joe G. L. Hunter, Zoran Gatalica, Inga Rose, Phillip Stafford, Chris W. Diehnelt

Background Epstein–Barr virus (EBV) infects more than 95% of adults and is associated with outcomes ranging from asymptomatic latency to infectious mononucleosis (IM), malignancies, and multiple sclerosis (MS). Conventional ELISA-based EBV serology is often restricted to a small number of soluble, whole-protein antigens and does not preserve information regarding the specific linear regions of antigen recognition that contribute to the overall antibody response. Multiplexed peptide microarrays address this limitati …

03.09.2026journal-article

Frontiers in Public Health

The impact of oral health literacy on oral health in lung cancer patients: the mediating role of psychosocial factors

Nan Zhang, Yingao Liu, Tiane Fa

Background Lung cancer patients often have poor oral health due to treatment toxicities, increasing risks of oral mucositis, and pulmonary infection. Oral health literacy (OHL) is a key determinant, and psychosocial factors such as anxiety and family support also play roles. However, prior studies examined only single dimensions, not underlying mechanisms. This study aims to build a mediation model linking OHL, psychosocial factors, and oral health status in lung cancer patients, providing exploratory evidence for …

03.09.2026journal-article

Frontiers in Public Health

A co-production study of an art-based media campaign intervention to encourage early breast cancer screening uptake among Black women in England

Tarela Juliet Ike, Dung Ezekiel Jidong, Mieyebi Lawrence Ike, Evangelyn Ebi Ayobi, Peremi Richmond Ike, Oluwakorede Florence Adebowale, Gabriella Rooks, Nusrat Husain

Background Breast cancer is one of the most common cancers that affects women globally. Of central concern are Black women in the United Kingdom who are disproportionately affected, present late and suffer higher mortality due to poor early screening uptake. Informed by an interpretative phenomenological analytical lens, this study makes an original and significant contribution to address the gap by working with 15 Black women from the north of England to co-produce an art-based media campaign intervention designed …

03.09.2026journal-article

European Journal of Dental Education

Learning Clinical Procedures Through Social Media: A Multi‐Institutional Study of Preclinical and Clinical Dental Students in Turkey

Abdul Kerim Atlı, Emel Karaman

ABSTRACT Introduction Social media platforms are increasingly used by dental students to support learning and preparation for clinical procedures. Although previous studies have described general patterns of social media use in dental education, evidence directly comparing preclinical and clinical students remains limited. This study aimed to evaluate how dental students in Turkey use social media for learning clinical procedures and to examine differences associated with clinical experience. Methods This cross‐sec …

03.09.2026journal-article

Algorithms

Artificial Intelligence for Anomaly Detection in Cyber Defense: A Critical Review of Methodological Trends, Datasets, and Explainability

Paul-Vasile Vezeteu, Nicolae-Daniel Boboc, Dumitru-Iulian Năstac

The increase in the number and complexity of interconnected systems requires new methods to identify potential threats in today’s hyperconnected world. This trend affects systems ranging from smart homes and Internet of Things (IoT) devices to critical infrastructure which must be equipped with the corresponding cyber defense methods. Given the new landscape, it is more difficult for classical cybersecurity systems to stay up to date with novel threats, as well as to keep track of all interconnected devices defined …

03.09.2026journal-article

INTERNATIONAL JOURNAL OF HUMANITIES AND LEARNING TECHNOLOGY INNOVATION (IJHLT)

ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: TRANSFORMING TEACHING, LEARNING, AND STUDENT ENGAGEMENT

Dr. N. Meenakshi

Artificial Intelligence (AI) has emerged as a transformative force in higher education, reshaping teaching methodologies, learning experiences, and student engagement strategies. Educational institutions worldwide are increasingly integrating AI-powered tools such as intelligent tutoring systems, adaptive learning platforms, chatbots, predictive analytics, and automated assessment systems to improve educational outcomes and operational efficiency. This paper explores the role of AI in enhancing personalized learnin …

03.09.2026journal-article

Frontiers in Oncology

Molecular classification of endometrial cancer in fertility-sparing-treatment: toward a personalized clinical approach

Filippo Alberto Ferrari, Giorgio Bogani, Matteo Pavone, Elena Olearo, Andrea Puppo, Marcello Ceccaroni

Molecular classification has emerged as a promising tool to improve patient selection and prognostic stratification in fertility sparing treatment (FST) for endometrial cancer (EC). Although FST is currently considered a valid option for carefully selected patients with early stage, low grade endometrioid EC, recurrence rates remain substantial and conventional clinicopathologic criteria inadequately capture tumor biological heterogeneity. Current evidence suggests that NSMP tumors represent the most favorable subg …

03.09.2026journal-article

Frontiers in Public Health

Self-confidence and body image among adults engaged in daily bodybuilding exercise compared with non-exercising adults: a case-control study

Hayder Ameer Jabor, Bahaa Mirza Skal, Hasan Naeem Kareem, Richard Mottershead

Background Regular bodybuilding and resistance training may positively influence psychological wellbeing, particularly self-confidence and body image perception. This study aimed to compare self-confidence and body image between adults engaged in daily bodybuilding exercise and non-exercising adults in Iraq. Methods A case-control study was conducted in Al-Diwaniyah City, Iraq, between August 2025 and April 2026. A total of 188 participants were enrolled using a purposive sampling method, including 94 adults engage …

03.09.2026journal-article

SENTRALISASI

From Scroll to Sold: TikTok User-Generated Content and Its Influence on Consumer Behavior in the Digital Era

Herry Mulyono, Anglelika Chandra Dinata, Benediktus Rolando, Yossinomita Yossinomita

This study examines how TikTok UGC influences consumer trust and purchase intention among Generation Z, synthesizing evidence across authenticity, social proof, virality, algorithmic amplification, and sponsorship transparency. Method: A Systematic Literature Review (SLR) was conducted following PRISMA guidelines. The Scopus database was searched for peer-reviewed articles published between 2020 and 2026, yielding 40 initial records; following title–abstract–keyword screening, 10 records were excluded, resulting in …

03.09.2026journal-article

International Journal of Computer Science and Mathematical Theory

Deep Learning-Driven Cybersecurity for Digital Supply Chains: A Hybrid Ensemble Approach to Real-Time Threat Detection

Michael E. Ajonuma

Rapid digitalization has increased the attack surface in Supply Chain Management (SCM), making organizations highly vulnerable to emergent sophisticated cyberattacks. Traditional signature-based security remains for the most part reactive and unable to cope with fast evolving malware, phishing, ransomware, and insider intrusion. This research proposed a hybrid ensemble deep learning cybersecurity system for real-time anomaly detection within Digital Supply Chains (DSC). The existing system faced some challenges whi …

03.09.2026journal-article

Eastern Mediterranean Health Journal

Medication adherence among multimorbid individuals in Saudi Arabia

Haifa Alturki, Nawaf Alnuwaysir, Ghaya Almutairi, Shahad Alonazi, Rayouf Al Otaibi, Reham Alharbi, Joury Dabbour

Background: Multimorbidity is increasingly common among adults in Saudi Arabia. As treatment regimens become more complex, medication adherence becomes more challenging. Understanding the behavioural drivers of non-adherence is essential to improving outcomes and reducing preventable complications. Aim: To assess the prevalence of medication adherence among individuals aged ≥45 with multimorbidity, examine the association between the number and type of chronic conditions and adherence, and identify key reasons behi …

03.09.2026journal-article

Clinical Pharmacology & Therapeutics

Advances in New Approach Methodologies at FDA 's Division of Applied Regulatory Science

Ksenia Blinova, Kimberly Chiu, Anik Chaturbedi, Jahan Cooper, Tromondae K. Feaster, Paula L. Hyland, Lidiya Stavitskaya, Wendy W. Wu, Jeffry Florian, Rodney Rouse

New Approach Methodologies (NAMs) represent a paradigm shift in drug development and regulatory science, offering human‐relevant alternatives to traditional preclinical models. This mini‐review highlights recent advances in NAM development, validation, and regulatory application from FDA's Division of Applied Regulatory Science (DARS). We describe in silico NAMs including quantitative systems pharmacology (QSP) modeling for opioid overdose scenarios, (quantitative) structure–activity relationship ((Q)SAR) modeling …

03.09.2026journal-article

AVANCA | CINEMA

Cine de animación e inteligencia artificial generativa: análisis de Where the Robots Grow (Paton, 2024)

Sergio Jesús Villén-Higueras, Milagros Expósito-Barea

The emergence of generative artificial intelligence (GenAI) is profoundly transforming contemporary audiovisual production processes, particularly in the field of animation. This text analyzes the feature film Where the Robots Grow (Paton 2024) with a dual objective: to examine how GenAI operates within current animation production models and to identify visual and chromatic patterns that are difficult to perceive through conventional viewing practices. Methodologically, the research adopts a qualitative case-study …