A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Abstract: By evaluating intricate datasets to maximize plant growth, boost yields, and advance sustainability, smart agriculture—powered by Random Forest machine learning—is transforming botany.
ABSTRACT: Meditation offers a controlled behavioral context for probing attention, arousal, and self-regulation. Rather than positioning the present work as a discovery of novel neural signatures, we ...
This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...
Abstract: Stunting in toddlers is one of the most pressing nutritional issues in Indonesia. This condition, caused by chronic malnutrition, is a key indicator of maternal and infant health, ...
Department of Orthopedics, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, China Background and aim: ...
Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...
Machine-learning analysis identifies factors predicting T cell collection efficiency in CAR T-cell therapy for DLBCL patients. Higher blood volume, not higher circulating T-cell numbers, correlates ...
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