Results 171 to 180 of about 12,842 (197)

Functional Index Questionnaire: structural validity study in Brazilian patients with anterior knee pain. [PDF]

Sao Paulo Med J
Pontes-Silva A, Dibai-Filho AV, Pires FO, Girasol CE, Araujo GGC, Leal PDC, Arrais Junior JD, Fidelis-de-Paula-Gomes CA, Cabido CET.   +8 more
europepmc   +1 more source

3D Water Vapor Signature of Tropical Storms: GNSS Tomography of the 10 Most Severe Rainfall Events in Hong Kong 2015–2025

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Monitoring water vapor during extreme events is crucial for understanding atmospheric physics, as well as for improving the prediction of severe weather and enhancing early warning systems. The major gap in monitoring water vapor during extreme events lies in the limited spatial and temporal resolutions of existing techniques.
P. Mateus, D. Hui, M. Zhang, R. Fernandes, P. M. A. Miranda   +4 more
wiley   +1 more source

[Contemporary challenges for digital health: literacy, media education, and prevention of disinformationDesafíos actuales para la salud digital: alfabetización, educación mediática y prevención de la desinformación]. [PDF]

Rev Panam Salud Publica
Mendonça AVM, de Sousa MF.
europepmc   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, Volume 28, Issue 13, 8 July 2026.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Energy production pathways of female soccer players during championships: a metabolomics approach. [PDF]

Braz J Med Biol Res
Nascimento MBA, Gouveia MMS, Santos MPP, Rocha-Junior ERD, Crispim AC, Bento ES, Aquino TM, Sousa FAB, Araujo GG, Ataide-Silva T.   +9 more
europepmc   +1 more source

p‐Sulfonatocalix[4]arene‐Based Ratiometric Fluorescence Chemosensor Array for the Differential Detection of Polycationic Peptides

ChemistryEurope, Volume 4, Issue 7, July 2026.
A ratiometric fluorescence chemosensor array based on pyrene‐functionalized calixarenes enables complexation‐induced aggregation sensing of polycationic peptides in water. The system discriminates closely related sequences differing by minimal arginine content, including biologically relevant coronavirus spike protein cleavage‐site motifs, highlighting
Joana N. Martins, Márcia Pessêgo, Lucia Méndez‐Gómez, Hanieh Mahmoodi, Javier Montenegro, Luis Garcia‐Rio, João Carlos Lima, Nuno Basílio   +7 more
wiley   +1 more source

Influence of different learning modalities on academic and psychological status of nursing university student. [PDF]

Rev Lat Am Enfermagem
San-Antolín M, Calvo-Lobo C.
europepmc   +1 more source

Recreational Drug Use at a Music Festival: A Dual Approach Using Hair Biomarkers Analysis and Participant Self‐Reported Drug Use

Drug Testing and Analysis, Volume 18, Issue 7, Page 831-840, July 2026.
Combined self‐report and hair analysis in festival attendees (n = 249) revealed substantial discrepancies in drug use reporting, particularly for stimulants and dissociatives. This integrated approach enhances detection of poly‐drug use and provides a more reliable basis for monitoring and harm‐reduction strategies.
A. Y. Simão, T. Rosado, M. Barroso, M. Andraus, E. Gallardo   +4 more
wiley   +1 more source

Molecular pathways linking traumatic brain injury to cardiovascular dysfunction: therapeutic potential of physical exercise. [PDF]

Metab Brain Dis
Feiteiro LMS, Alchieri EF, Godinho DB, Dal Magro G, Torbes J, Cardozo DM, de Mattos Mautone Pedroso JV, Furian AF, Oliveira MS, Fighera MR, Royes LFF.   +10 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source