Results 151 to 160 of about 3,418 (288)

AI and Machine Learning for Proteomics-Driven Drug Discovery: Methods, Tools, and Best Practices. [PDF]

Curr Issues Mol Biol
Basak S.
europepmc   +1 more source

“Why can't they put us to sleep if we are suffering?”: La Nada and the desire for euthanasia among institutionalized older adults in Peru

Medical Anthropology Quarterly, EarlyView.
Abstract In this article, I examine how institutionalized older adults in Peru articulate suffering through the idiom of la nada—“nothingness”—and how this shapes desires for euthanasia. Moving from close ethnography of bodies in space and time to structural and ethical discourses on euthanasia, I argue that calls for euthanasia arise not only from ...
Magdalena Zegarra Chiappori
wiley   +1 more source

Quasi-elastic neutron scattering studies on bacterial spores and their hydration water. [PDF]

Sci Rep
Colas de la Noue A, Matsuo T, Natali F, Koza MM, Seydel T, Fekraoui F, Perrier-Cornet JM, Peters J.   +7 more
europepmc   +1 more source

Effects of photobiomodulation therapy on pulmonary inflammation in chronic asthma: Dosimetric study in an experimental model

Photochemistry and Photobiology, EarlyView.
Photobiomodulation therapy (PBMT) was evaluated across a radiant energy range (1–7.5 J) in a murine model of chronic ovalbumin‐induced asthma to identify the optimal therapeutic dose. PBMT attenuated airway inflammation and remodelling, suppressed Th2 cytokines, and enhanced regulatory immune responses, highlighting a dose‐dependent immunomodulatory ...
Tawany Gonçalves Santos, Cintia Estefano Alves, Bibiana Padilha de Menezes da Silva, Cinthya Cosme Gutierrez Duran, Stella Zamuner, Rodrigo Labat, José Antonio Silva Junior, Maria Cristina Chavantes, Flavio Aimbire, Renata Kelly da Palma, Ana Paula Ligeiro de Oliveira   +10 more
wiley   +1 more source

Wearable low-level laser therapy (laser acupuncture) versus manual acupuncture for chronic insomnia: protocol for a randomized, assessor-blinded, superiority trial. [PDF]

Front Psychiatry
Shen Y, Wen H, Kong T, Lin J, Chen A, Huang Y, Lin Y, Bin W.   +7 more
europepmc   +1 more source

Remittances, Human Capital, and Industrialization in Sub‐Saharan Africa

Review of Development Economics, EarlyView.
ABSTRACT Industrialization remains a crucial strategy for structural transformation in Sub‐Saharan Africa (SSA), yet progress has been hindered by persistent constraints. This paper evaluates the effects of remittances and human capital on industrialization across 35 SSA countries over the period 2010–2021.
Joshua Adeyemi Afolabi, Theophilus Oluyemi Adeosun   +1 more
wiley   +1 more source

SHIFT-MAB: Fair and Mobility-Aware Handover Control for 6G Fully Decoupled RANs. [PDF]

Sensors (Basel)
Gong T, Dai C, Yang T.
europepmc   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source

Machine Learning-Based Prediction of Ultrasound-Detected Hepatic Steatosis Within the Metabolic Dysfunction-Associated Steatotic Liver Disease Spectrum Using Routine Clinical and Biochemical Parameters. [PDF]

Biomedicines
Akkus C, Sonmez G, Sahin A, Yazarkan Y, Gokgoz M, Caglar F, Kayhan S.   +6 more
europepmc   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source