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Entdecken Sie tatsächlich neu veröffentlichte Arbeiten aus Medizin, Pflege, Therapie, Public Health und Life Sciences. Sortiert nach Publikationsdatum, nicht nach Zitierhäufigkeit.

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24 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
31.08.2026journal-article

Magna Scientia Advanced Research and Reviews

Indigenous and diaspora healing knowledge in U.S. mental health systems: A systematic review of cultural adaptation, access, and outcomes

Nancy Akomaniwaa Andoh

Objective: This systematic review examined how Indigenous and diaspora healing knowledge has been adapted, integrated, or engaged within U.S. mental health systems, with particular attention to cultural adaptation, access to care, and reported outcomes. It focused on how mental health services respond to culturally grounded healing practices, community-based support systems, and alternative help-seeking pathways among Native and diaspora populations. The review also considered whether these forms of healing knowled …

31.08.2026journal-article

International Journal for Research in Applied Science and Engineering Technology

A Reliability-Aware and Interpretable Machine Learning Framework for Diabetes Prediction Using Structured Clinical Data

Ravikumar V, Dr. S. Sasirekha

Diabetes prediction plays an important role in re-ducing long-term health risks by enabling early medical interven-tion. Although machine learning models have been widely applied to this task, many existing studies emphasise predictive accuracy while giving comparatively little attention to the reliability, interpretability, and stability of the resulting decisions. This paper develops a reliability-aware and interpretable machine learning framework for diabetes prediction from structured clinical data. Three compl …

31.08.2026journal-article

International Journal of Science and Research Archive

AGENTSHIELD: AN AGENTIC ARTIFICIAL INTELLIGENCE FRAMEWORK FOR REAL-TIME CYBERSECURITY ORCHESTRATION IN INDIA’S UPI AND FINTECH ECOSYSTEM

Chandrashekar P, Mohana Kumar S, Naveen Kumar B K

India's Unified Payments Interface (UPI) has emerged as the world's largest real-time payment ecosystem, processing over 13.9 billion transactions worth USD 230 billion in a single month as of 2024. This rapid digitization of financial transactions has simultaneously expanded the cyber-threat landscape targeting India's financial technology sector, with reported financial cyber-crimes rising by 334% between 2019 and 2024. Existing security frameworks — including rule-based fraud detection, static anomaly scoring, a …

31.08.2026journal-article

Health SA Gesondheid

The correlation between depression and haemodialysis adequacy in chronic kidney disease patients in South Africa

Bongani V. Miya, Ntagi G. Marir, Chevon Clark

Background: Chronic kidney disease (CKD) is a global health concern projected to be the fifth most prevalent chronic disease by 2040, associated with high mortality and significant psychosocial burdens. Aim: This study aimed to explore and describe the correlation between depression and haemodialysis adequacy in CKD patients. Setting: Research was conducted across five units in the Free State and Northern Cape provinces, South Africa. Methods: This quantitative, cross-sectional, prospective analytic study included …

31.08.2026journal-article

Proceedings of the Institution of Civil Engineers - Management, Procurement and Law

Health and safety in construction procurement: a comparative leximetric analysis

Daramola Thompson Olapade, Justus Ngala Agumba, Rudzani Glen Muthelo

Despite employing only 7% of the workforce, construction accounts for approximately 20% of workplace fatalities globally, underscoring the critical importance of safety. While integrating health and safety (H&S) into procurement processes is essential for improving outcomes, regulatory frameworks in developing economies remain underexplored. This study employs a comparative leximetric analysis to examine the extent to which H&S requirements are embedded within construction legislation in Nigeria and South Africa. U …

31.08.2026journal-article

Asian Journal of Medicine and Health

Effectiveness of Lower Limb Exercise in Chronic Heel Pain: A Critical Narrative Review of Stretching, Progressive Loading and Regional Strengthening

Aishwarya Gandhi, Taruna Kumawat

Chronic heel pain is among the most frequent musculoskeletal complaints presenting to primary care, podiatry and physiotherapy services, and a substantial minority of those affected remain symptomatic for years. Exercise directed at the lower limb is recommended almost universally, yet the term covers interventions that differ in target tissue, contraction type, load magnitude, dose and degree of supervision. Whether those differences matter for clinical outcome remains contested. This critical narrative review exa …

31.08.2026journal-article

Fractals

Assessing the Impact of Quarantine Behavior Among Individuals Infected with Mpox: A Fractional Artificial Neural Network Approach

Muhammad Farman, Muhammad Asad Ullah, Yuyang Cai, Yang Ling, Usama Ghafoor, Mustafa Bayram, Mohamed Hafez

This study proposed a combination of compartmental modeling with a bio-inspired machine learning (ML) framework for the dynamical analysis of monkeypox (MPOX) transmission. A Caputo fractional-order model is developed based on human infection data from the USA to understand the long-term fluctuation in disease propagation and inherent memory effects. The transmission dynamics of MPOX incorporating vaccination, quarantine, recovery, loss of immunity, and both human to human and animal to human transmission pathways …

31.08.2026journal-article

Journal of Educational Evaluation for Health Professions

Practicing pediatric interviews with parents through conversational AI-based virtual patients: an observational study in Spanish undergraduate medical education

César Fernández, Francisco Sánchez-Ferrer, María Asunción Vicente

Purpose: To evaluate students’ acceptance of training via artificial intelligence (AI)-based virtual patients (VPs) in pediatrics; to analyze the main factors that affect student satisfaction; and to compare student satisfaction with that reported in the literature.Methods: Two observational studies were carried out. Study S1 analyzed students’ interactions with the platform and study S2 analyzed their answers to a final questionnaire. All students enrolled in the “Pediatrics II and Pediatric Surgery” course were i …

31.08.2026journal-article

F1000Research

Awareness and Perceptions of Health Promotion Strategies Among Caregivers to Reduce Child Mortality in Mount Fletcher, Eastern Cape, South Africa

Lulama Lathitha Faku, Mirable Nanjoh, Luviwe Lutotswana, Monwabisi Faleni, Mbuyiselo Douglas, Ziphelele Peter

Background Child mortality remains a major public health challenge in low- and middle-income countries, with Sub-Saharan Africa carrying a disproportionate share of the global burden. In South Africa, rural and under-resourced areas such as Mount Fletcher in the Eastern Cape continue to record high rates of preventable under-five deaths. The effectiveness of national and provincial health promotion strategies depends heavily on local awareness, acceptance, and participation, yet little is known about how caregivers …

31.08.2026journal-article

International Journal of Innovative Science and Research Technology

MAYI-EDGE: An Offline-First Edge-AI and Digital-Twin Architecture for Intermittent Water Systems

Hervé Kinkete Mfumabi, Gracia Grace Disanka, Daniel Kibala Mfumangimbi, Evodie Ikene Mushid, Kenayah Ebonge Maya, Kéren Mayele Loba, Jean-Beni Lokuli Isekongo, Sephora Deko Kila, Ferdinand Sangunza

Intermittent water supply creates nonstationary pressure, uncertain availability, leakage risk, and operational blind spots, while cloud-only monitoring is fragile where connectivity and power are unreliable. This article presents MAYIEDGE as an architecture-led reference study with a reproducible algorithmic demonstration, an executable offline transaction contract, and a prespecified confirmatory protocol. The proposed offline-first cyber-physical architecture couples flow, pressure, and tank-level sensing with E …

31.08.2026journal-article

Structural Health Monitoring

Effect of rail short-wave irregularity on guided wave in the rail

Guodong Yue, Xiaolong Wang, Hao Li, Bolin Wang, Dake Tian, Bingfeng Zhao

Rail short-wave irregularities significantly influence wheel–rail interaction and rail integrity. In this study, we developed a three-dimensional finite element model that incorporates short-wave irregularities into the wheel–rail contact simulation. The model captures the transient contact forces and the resulting guided wave propagation along the rail. Our analysis shows that the excited signal propagates primarily as a low-frequency longitudinal guided wave mode with a speed of approximately 5263.16 m s −1 and a …

31.08.2026journal-article

Journal of Evaluation in Clinical Practice

Frameworks for Measuring Factors Associated With Healthcare Providers' Performance: A Scoping Review

Khalid Alkhurayji, Saja A. Alrayes, Arwa Alumran

ABSTRACT Rationale Healthcare providers are influenced by several factors that affect their performance. However, no such work has been presented to organise or clarify this growing body of literature. Aim and Objectives This study aimed to identify frameworks for measuring factors affecting healthcare providers' performance. Methods This review adheres to the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis extensions for Scoping Reviews (PRISMA‐ScR). This review was guided by the Population, Con …

31.08.2026journal-article

e-Bangi Journal of social science and humanities

Deepfakes, Digital Replicas & Intellectual Property Rights: An Examination of Copyright, Trademark & Publicity Rights in Pakistan

Muzamil Ahmed, Nazura Abdul Manap, Nazir Ullah

This study examines the current state of legal protections for individuals against the unauthorised creation and use of deepfakes and AI-generated digital replicas under Pakistani law. The use of artificial intelligence to create AI-generated media works has grown rapidly. However, Pakistan's existing intellectual property laws, including the Copyright Ordinance 1962 and the Trade Marks Ordinance 2001, as well as other protection mechanisms, do not provide sufficient protection to regulate or control the non-consen …

31.08.2026journal-article

Journal of Doctoral Nursing Practice

Moving PhD and DNP Collaboration Forward in Clinical Settings: A Literature Review

Susan B. Fowler, Charlene Pope, Julius Kehinde

Background: PhD-prepared nurses generate new evidence, while Doctor of Nursing Practice (DNP)-prepared nurses translate evidence into practice. While doctoral-prepared nurses have different foci, they can use their skills together to advance the art and science of nursing. Objective: The purpose of this project was to review the recent literature on PhD and DNP collaboration and suggest recommendations for partnerships in clinical settings. Methods: A literature search was conducted using two databases and keywords …

31.08.2026journal-article

BMC Medical Education

Dental students’ perceptions and use of artificial intelligence in dental education in Bulgaria: a comparative cross-sectional survey of two independent cohorts in 2025 and 2026

Vesela Stefanova, Kostadin Zhekov

Abstract Background Artificial intelligence (AI) is increasingly influencing dental education, clinical decision-making, diagnostics, and treatment planning. However, cohort-level differences in AI-related perceptions and use among dental students from consecutive academic years remain insufficiently explored, particularly among international students enrolled in English-language dental programs. Objective This exploratory study aimed to describe and compare AI-related perceptions, usage patterns, perceived benefit …

31.08.2026journal-article

Science for Education Today

Developing digital information literacy of parents on children’s health issues: Assessment based on the number of children in the family

Irina Yuryevna Pushkareva, Kseniya Sergeevna Tolstova, Nikolay Vladimirovich Kanygin, Olga Vladimirovna Lukasheva, Olga Alexandrovna Latukha

Introduction. The article presents the results of a study of the problem of educating modern parents on children’s health issues as the basis for personalizing digital sanitary and educational work. The purpose of the study is to identify the specifics of developing digital information literacy of parents on child health issues based on its assessment depending on the number of children in the family. Materials and Methods. A sociological study was conducted among 138 parents visiting the polyclinic. The respondent …

31.08.2026journal-article

Caucasian Medical Journal

Advances and Clinical Perspectives in Bariatric and Metabolic Surgery

P.H. Najafguliyeva

The aim of the study: Obesity and metabolic disorders remain among the most challenging health problems of the modern era, significantly affecting both quality of life and overall survival. The present study aimed to investigate the clinical efficacy of bariatric and metabolic surgery in the management of morbid obesity and associated metabolic disturbances, as well as to evaluate contemporary surgical approaches and long-term clinical outcomes.Materials and methods: A total of 68 patients underwent bariatric surgi …

31.08.2026journal-article

Frontiers in Communication

The influence of social determinants of health on heat illness prevention and seeking/trusting information sources among Florida residents

Alejandro Mena, Andres F. Manrique, Ashley McLeod-Morin

Heat-related illnesses (HRIs) are a growing public health concern, particularly in the context of global climate change. Vulnerable populations, such as agricultural and outdoor workers, face disproportionate risks of HRIs. This study investigates associations between social determinants of health (SDOH) profiles and prevention behaviors, trust in information sources, and frequency of information-seeking related to extreme heat among Florida residents. Using a Bayesian Profile Regression (BPR) approach, we identifi …

31.08.2026journal-article

Frontiers in Artificial Intelligence

A spatial adaptive multi-scale ConvNeXt framework for robust, calibrated, and statistically validated multi-class retinal OCT classification

Mithun Vijayan, Goutham Veerapu, Nisha J. S.

Accurate classification of retinal diseases from optical coherence tomography (OCT) images is important for clinical decision support. However, many studies in deep learning put the primary focus on enhancing accuracy and often provide limited attention to calibration and robustness under real-world variations. This work presents an enhanced ConvNeXt-Tiny framework incorporating a Spatial Adaptive Multi-scale Convolution (SAMC) module for retinal OCT classification. Rather than introducing a new convolutional opera …

31.08.2026journal-article

European Journal of Haematology

From Immune Dysfunction to Clinical Risk: Infections in Myelofibrosis

Laura De Fazio, Claudia Simio, Matteo Molica, Marco Rossi

ABSTRACT Infectious complications are increasingly recognized as a crucial aspect of the clinical management of patients with Myelofibrosis. Infection susceptibility is multifactorial and reflects the interplay between disease‐related immune dysregulation, treatment‐associated immunomodulation, and patient‐specific factors such as age, comorbidities, and prior therapies. Myelofibrosis is characterized by a chronic inflammatory state and impaired innate and adaptive immunity, including dysfunction of natural killer …

31.08.2026journal-article

Clinical Microbiology Reviews

Highly pathogenic avian influenza viruses in mammals: host-range expansion and implications of milk-borne viral shedding

Leila Wogick, Sagar M. Goyal

SUMMARY Highly pathogenic avian influenza (HPAI) viruses, especially subtype H5N1, have caused major outbreaks in poultry and serious human infections since the first description of “fowl plague” in 1878. Over time, these viruses have expanded their host range, causing huge losses in domestic poultry, spreading among wild bird populations, and occasionally infecting humans. Understanding how influenza viruses adapt and cross species barriers depends on analyzing their fundamental molecular characteristics. Key feat …

31.08.2026journal-article

Journal of Clinical Microbiology

An optimized product-enhanced reverse transcriptase assay for sensitive and quantitative detection of HIV viral load and phenotypic drug resistance

Dorothy K. Mims, Megan M. Chang, Ayokunle O. Olanrewaju

ABSTRACT The World Health Organization (WHO) recommends human immunodeficiency virus (HIV) drug resistance testing (DRT), but current tests are too complex and expensive for routine use. Genotypic DRT is challenging to interpret because of the growing list of mutations responsible for HIV drug resistance. Although phenotypic DRT is simpler to interpret, it requires slow and labor-intensive viral culture. Phenotypic tests that measure the activity of isolated HIV enzymes are faster and less labor-intensive, but none …

31.08.2026journal-article

Frontiers in Public Health

Collaborative knowledge mobilisation to increase awareness and use of new SNOMED clinical terms for fetal alcohol spectrum disorder in England

James T. I. Parsonage, Amy Dillon, Louise Millington, Raja A. S. Mukherjee, Sandra Ionno Butcher, Andy Boyd, Patricia D. Jackson, Cheryl McQuire

Introduction Fetal alcohol spectrum disorder (FASD) affects an estimated 1.8–3.6% of UK school children and up to 27% of children in care. FASD remains vastly under-diagnosed and under-recorded in UK electronic patient records (EPRs), leading to significant challenges for individuals with the condition. In 2024, we developed new SNOMED clinical terms aligned to UK national guidelines and quality standards for FASD. Aims Through collaborative knowledge mobilisation (KM), we aimed to: i) raise awareness of the import …

31.08.2026journal-article

Basrah Journal of Science

A Behavioral Swarm Intelligence Framework with a Hybrid 1D-CNN for Identifying Zero-Day Attacks in Kubernetes-Driven Hybrid Clouds

Shaymaa Mohammed Abdulameer, Rana M. Hasan, Raghad AbdulHadi AbdulQader, Maamoun Ahmed

Zero-day exploitation in hybrid clouds based on Kubernetes is difficult to detect, as traditional signature detection systems and standalone anomaly detection models are running out of context and are prone to generating numerous false positives in dynamic workloads. In this paper, we bridge this gap with Cerberus, a hybrid detection framework that integrates, in a unique manner, a container-level behavioral analysis running a lightweight one-dimensional convolutional neural network (1D-CNN) and a collective level …