Results 81 to 90 of about 6,174 (204)

A current review on animal models of anti-asthmatic drugs screening

Frontiers in Pharmacology
Asthma is a chronic inflammatory respiratory condition characterised by airway constriction, smooth muscle spasm, and severe morbidity. It affects around 300 million people globally, with children being especially vulnerable. Despite its worldwide effect,
Shivam Singh, Sunita Kularia, Shivakshi Shukla, Mithilesh Singh, Manish Kumar, Ashish Kumar Sharma   +5 more
doaj   +1 more source

The use of different types of networks, alone and in combination, for drug target identification

British Journal of Pharmacology, Volume 183, Issue 8, Page 1653-1662, April 2026.
Current therapeutic approaches often focus on targeting clinical symptoms or peripheral phenotypes rather than the underlying molecular mechanisms, or endophenotypes, that drive diseases. While symptom‐based drugs can alleviate discomfort, they do not necessarily alter disease progression and may overlook opportunities for prevention or early ...
Paolo Parini
wiley   +1 more source

Risk Assessment and Management of Brucella canis Introduction via Commercial Dog Imports Into France

Risk Analysis, Volume 46, Issue 4, April 2026.
ABSTRACT Canine brucellosis, caused by Brucella canis, is a likely underdiagnosed zoonotic disease that leads to reproductive failure in dogs and economic losses for kennels. Since 2020, cases in mainland France have been on the rise, with most attributed to the importation of dogs from Eastern Europe. However, the risk of introducing B.
Patrick Mvumbi, Gina Zanella, Guillaume Crozet   +2 more
wiley   +1 more source

Development and psychometric validation of the diet and physical activity questionnaire for patients with diabetes (DPQD)

Discover Public Health
Background Lack of culturally and linguistically tailored instruments limits the assessment of lifestyle awareness in Hindi-speaking individuals with diabetes.
Anupama Sharma, Sourav Debnath, Bhumi Chaturvedi, Anurag Kumar Singh, Sumit Rajotiya, Shivang Mishra, Prashant Nakash, Sachin Kumar, Mahaveer Singh   +8 more
doaj   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, Volume 36, Issue 20, 9 March 2026.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Near‐Infrared Organic Photovoltaic Electrodes for Subretinal Neurostimulation

Advanced Functional Materials, Volume 36, Issue 23, 19 March 2026.
Organic photovoltaic electrodes based on the D18:Y6 blend enable precise and light‐controlled activation of retinal ganglion cells in a degenerating retina. NIR Light‐driven activation of retinal ganglion cells, tunable stimulation parameters, and biocompatibility with human retinal organoids highlight their potential for next‐generation prosthetics ...
Andrea Corna, Katarina Gugujonovic, Manuela Schiek, Alessandro Bellapianta, Paul Werginz, Amelie Ziller, Markus Clark Scharber, Ahmad Salti, Matthias Bolz, Mihai Irimia‐Vladu, Günther Zeck   +10 more
wiley   +1 more source

Stabilizing Cationic Palladium Single‐Atom Sites on Heteroatom‐Doped Carbon for Selective Hydrogen Peroxide Electrosynthesis

Advanced Functional Materials, Volume 36, Issue 21, 12 March 2026.
In this research, it is demonstrated that dual nitrogen and sulfur doping in hollow carbon spheres creates a tunable coordination environment that stabilizes cationic Pd single atoms as robust organometallic complexes, enabling high selectivity and stability for electrochemical hydrogen peroxide production under harsh acidic and peroxide‐rich ...
Guilherme V. Fortunato, Alexander Gunnarson, Hannaneh Hosseini, Xiangyu You, Pallabi Bhuyan, Ji Sik Choi, Hyo Sang Jeon, Xingshen Zhao, Julio C. Lourenço, Sumin Lim, Huize Wang, Ana Guilherme Buzanich, Martin Radtke, Paul Paciok, Marcos R.V. Lanza, Ferdi Schüth, Marc Ledendecker   +16 more
wiley   +1 more source

Life Cycle Assessment of Electro-Submersible Pump Systems: Carbon Footprint Mitigation Using Improved Downhole Technology

Energies
Climate change has driven global awareness of environmental issues, leading to the adoption of clean technologies aimed at reducing Greenhouse Gas (GHG) emissions.
Manolo Córdova-Suárez, Juan Córdova-Suárez, Ricardo Teves, Enrique Barreno-Ávila, Fabian Silva-Frey   +4 more
doaj   +1 more source

Prediction and optimization of epoxy adhesive strength from a small dataset through active learning

Science and Technology of Advanced Materials, 2019
Machine learning is emerging as a powerful tool for the discovery of novel high-performance functional materials. However, experimental datasets in the polymer-science field are typically limited and they are expensive to build. Their size (< 100 samples)
Sirawit Pruksawan, Guillaume Lambard, Sadaki Samitsu, Keitaro Sodeyama, Masanobu Naito   +4 more
doaj   +1 more source

Longitudinal association between sleep and Alzheimer's pathology

Alzheimer's &Dementia, Volume 22, Issue 3, March 2026.
Abstract INTRODUCTION Since sleep disturbance is a modifiable risk factor for Alzheimer's disease (AD), we tested associations between sleep and AD pathology in cognitively unimpaired (CU) persons. METHODS We included 223 participants from the PREVENT‐AD cohort with self‐reported measures of sleep, objective actigraphy measures of sleep, and positron ...
Bery Mohammediyan, Andrée‐Ann Baril, Alfonso Fajardo Valdez, Frédéric St‐Onge, Alexa Pichet Binette, Julie Carrier, Maiya R. Geddes, Simon Ducharme, Maxime Montembeault, Jean‐Paul Soucy, John Breitner, Judes Poirier, Sylvia Villeneuve, for the PREVENT‐AD Research Group   +13 more
wiley   +1 more source