Results 161 to 170 of about 162,570 (284)

Visible as Journals, Invisible as Publishers: Limitations of OpenAlex for Analysing University Publishing

Learned Publishing, Volume 39, Issue 3, July 2026.
ABSTRACT This study presents the results of an exploratory audit of publisher‐affiliation metadata for a selected sample of university‐published journals in OpenAlex. A corpus of 60 UJs from 10 countries, chosen to represent low‐visibility publishing environments, was examined.
Maryna Nazarovets
wiley   +1 more source

Zaydī Shīʿism

St Andrews Encyclopaedia of Theology
Zaydī Shīʿism is a tradition of Islamic law and theology with deep historical roots in the Muslim world. This article provides a historical overview, beginning with Imām Zayd b. ʿAlī (d.
Scott Lucas, Egbal Almahatwary
doaj  

Comparative performance of FINDRISC and IDRS in screening for type 2 diabetes risk among Yemeni university students. [PDF]

Diabetol Metab Syndr
Al-Shami A, Qasem L, Baddah M, Kahtan S.
europepmc   +1 more source

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

Applied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain, Hrittik Mural, Monowar Wadud Hridoy   +2 more
wiley   +1 more source

Awareness of Vital Complications and Associated Factors Among Type 2 Diabetic Patients in Al-Hudaydah, Yemen: A Cross-Sectional Study. [PDF]

Biomed Res Int
Alselwy K, Saeed M.
europepmc   +1 more source

Integrated Orbitrap‐HRMS and Chemometric Profiling Reveals Metabolite Diversity and Antioxidant Signatures in Cerrado Eugenia Fruits

Analytical Science Advances, Volume 7, Issue 1, June 2026.
ABSTRACT Fruits from the Brazilian Cerrado, such as pitanga (Eugenia uniflora), jambolao (E. jambolana) and murta (E. punicifolia), are recognized for their nutritional and therapeutic potential, largely due to their phenolic‐rich profiles. However, systematic studies integrating high‐resolution mass spectrometry (HRMS) with chemometric tools to ...
Alexandre W. V. Nascimento, Naará S. Balbino, Salva Asghar, Erica A. Batista, Eric de Souza Gil, Abeer M. Alawi Al‐Sakkaf, Boniek G. Vaz, Teresinha J. A. S. Andrade, Nerilson Marques Lima   +8 more
wiley   +1 more source

Epidemiology of cutaneous leishmaniasis in Ibb governorate, Yemen: trends and public health challenges amidst the COVID-19 pandemic. [PDF]

BMC Infect Dis
Al-Shehari WA, Fu Y, Zhang F, Zhang X, Edrees WH, Al-Hadheq AA, Qasem EA, Alariqi R, Al-Haddad AM.   +8 more
europepmc   +1 more source

Cardiovascular β‐Adrenergic Receptor Distribution and Function: Influence of Species, Sex, Age, and Tissue

Comprehensive Physiology, Volume 16, Issue 3, June 2026.
Estrogen modulates β‐AR signaling in a context‐dependent manner influenced by species, sex, age, tissue, and vascular health, highlighting challenges in translating findings from experimental models to human cardiovascular physiology. ABSTRACT Cardiovascular diseases remain the leading global cause of morbidity and mortality, with notable sex‐specific ...
Basant Elsaid, Irakli Kopaliani, Birgit Zatschler, Ansam Seif, Stephan Speier, Andreas Deussen   +5 more
wiley   +1 more source

Preeclampsia Among Pregnant Women Admitted to a Tertiary Care Hospital in Taiz City: Insights from a Conflict-Stricken Setting in Southwest Yemen. [PDF]

Int J Womens Health
Hasan HM, Thabit MSM, Abdulaziz M.
europepmc   +1 more source

Explainability, Bias and Generalizability of AI Models in Dentistry: A Systematic Review of Model Interpretability and Equity

Clinical and Experimental Dental Research, Volume 12, Issue 3, June 2026.
ABSTRACT Background AI‐based dentistry has advanced significantly in recent years. AI models like deep learning (DL) and machine learning (ML) have paved the way for new approaches to image diagnostics and early risk prediction, making patient treatment plans more personalized. Aim The objective of this study was to assess the explainability, bias, and
Vini Mehta, Ankita Mathur, Mahati Bhadania, Cosimo Galletti, Javier Flores‐Fraile   +4 more
wiley   +1 more source