Results 231 to 240 of about 157,640 (328)
Citizen science deepens the ecological and climatic dimensions of mosquito surveillance
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias +2 more
wiley +1 more source
Bayesian Hierarchical Model for Cost-Effectiveness Analysis in Ethiopian Smallholder Farm Systems,
Seresignew Asfaw +3 more
openalex +1 more source
ABSTRACT The current research focused on how competing narratives (i.e., dominant and resistance narratives) are endorsed among low‐status group members, through the case of the US military base issue in Okinawa, Japan. Specifically, we explored patterns of Okinawans’ narrative endorsement (i.e., dominant and resistance narratives surrounding the ...
Maho Aikawa, Andrew L. Stewart
wiley +1 more source
Bayesian Hierarchical Model for Measuring Adoption Rates in Ethiopian Secondary School Systems
Mekdes Woldeyohannes
openalex +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
The impact of prompt diagnosis and treatment, and early predictors of outcome severity in this cohort. Abstract Objective Most therapies for drug‐resistant epilepsy (DRE) focus on focal‐onset seizures, the most common seizure types. Studying primary generalized tonic–clonic seizures (PGTCS) is more challenging due to diagnostic and recruitment ...
Katherine Eggleston +6 more
wiley +1 more source
Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley +1 more source

