Abstract: In this communication, a new sampling method called the knowledge-based sampling method (KBSM) is proposed for deep learning (DL)-assisted planar antenna array design. This approach uses ...

Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...

ABSTRACT: Agroforestry Systems (AFS) in Cameroon have considerable socio-economic potential and their composition is essentially determined by the type of producers and their strategies. This study ...

Previous studies have established a relationship between duodenal mucosa-associated microbiota and overall health. However, sampling duodenal microbiota is technically challenging. Mucosal biopsies ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

PaCS-Q is a Python toolkit designed to assist with Parallel Cascade Selection simulations (PaCS) for studying protein structural transitions in MD and QM/MM MD level.

Vaccines capable of effectively inducing mucosal immunity, particularly specific IgA antibodies, represent an ideal strategy for preventing infections and the transmission of pathogens such as ...

Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of ...

Abstract: Acne detection is a challenging task due to its small size and blurred boundaries. Previous methods are mostly based on traditional object detection models, where the detected objects’ ...

If you’re on #TherapyTok, you might’ve heard of a buzzy new term circulating around: the gray rock method. But what you don’t know is you’ve likely already used this communication strategy in numerous ...

Large language models (LLMs) have significantly advanced the field of natural language processing (NLP). These models, renowned for their ability to generate and understand human language, are applied ...