Results 101 to 110 of about 869,856 (362)

Oogenesis and germinal bed morphology of the brown anole (A. sagrei)

open access: yesDevelopmental Dynamics, EarlyView.
Abstract Background The brown anole is a model species of the genus Anolis, a squamate (encompassing lizards and snakes) group widely studied in evolutionary, behavioral, and developmental biology. Full genome annotation, the establishment of gene editing techniques, and comprehensive description of reproductive tract morphology and embryogenesis in ...
Bonnie K. Kircher   +12 more
wiley   +1 more source

Do Isaac de João Cassiano ao Isaac de Nínive: processos de incorporação textual na tradição latina

open access: yesClassica, Revista Brasileira de Estudos Clássicos, 2018
A tradição textual da obra de Isaac de Nínive tem como aspecto saliente diferentes casos de incorporação textual (adição de textos de um autor à tradição textual de outro autor).
César Nardelli Cambraia
doaj   +1 more source

Asthma in children and adolescents in Brazil: contribution of the International Study of Asthma and Allergies in Childhood (ISAAC)

open access: yesRevista Paulista de Pediatria, 2014
Objective: To assess asthma among Brazilian pediatric population applying the International Study of Asthma and Allergies in Childhood (ISAAC), an internationally standardized and validated protocol.
D. Solé   +3 more
semanticscholar   +1 more source

Trends in marine species distribution models: a review of methodological advances and future challenges

open access: yesEcography, EarlyView.
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen   +3 more
wiley   +1 more source

Species distribution modeling with expert elicitation and Bayesian calibration

open access: yesEcography, EarlyView.
Species distribution models (SDM) are key tools in ecology, conservation, and natural resources management. They are traditionally trained with data on direct species observations. However, if collecting species data is difficult or expensive, complementary information sources on species distributions are needed.
Karel Kaurila   +3 more
wiley   +1 more source

The relationship between concussion and alcohol consumption among university athletes

open access: yesAddictive Behaviors Reports, 2018
Introduction: This study investigated concussion as a potential risk factor for increased alcohol consumption in university athletes. Methods: Using a cross-sectional design, 41 university students (37% with a history of concussion) completed self-report
Bradey Alcock   +2 more
doaj   +1 more source

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

open access: yesEpilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Deep mutational scanning reveals EGFR mutations conferring resistance to the 4th-generation EGFR tyrosine kinase inhibitor BLU-945

open access: yesnpj Precision Oncology
Fourth-generation EGFR tyrosine kinase are in development to overcome common resistance mutations. We performed deep mutational scanning (DMS) of the EGFR kinase domain in the context of L858R by introducing a saturation library of ~17,000 variants into ...
Yueyang Wang   +14 more
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy