Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Be Hien, V"'
Autor:
Anisa Rilla Lubis, Nguyen Vu Linh, Orranee Srinual, Camilla Maria Fontana, Khambou Tayyamath, Supreya Wannavijit, Punika Ninyamasiri, Toungporn Uttarotai, Wanaporn Tapingkae, Yuthana Phimolsiripol, Hien V. Van Doan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study explores the effects of dietary supplementation with passion fruit peel pectin (Passiflora edulis) and red yeast cell walls (Sporidiobolus pararoseus) on growth performance, immunity, intestinal morphology, gene expression, and gu
Externí odkaz:
https://doaj.org/article/44c72c6dacf94be19628a84aa9922da8
Publikováno v:
Frontiers in Nanotechnology, Vol 6 (2024)
Nanoparticulate delivery systems have been attracting attention in pharmaceutical sciences for enhanced drug bioavailability and targeted delivery. Specifically, these systems can enhance the solubility of poorly water-soluble drugs, protect therapeu
Externí odkaz:
https://doaj.org/article/65baf4d37efc43de8e4ffa3a1b39047b
Reliable large-scale cell detection and segmentation is the fundamental first step to understanding biological processes in the brain. The ability to phenotype cells at scale can accelerate preclinical drug evaluation and system-level brain histology
Externí odkaz:
http://arxiv.org/abs/2205.05194
Publikováno v:
In International Journal of Pharmaceutics 25 October 2024 664
Accurate breast lesion risk estimation can significantly reduce unnecessary biopsies and help doctors decide optimal treatment plans. Most existing computer-aided systems rely solely on mammogram features to classify breast lesions. While this approa
Externí odkaz:
http://arxiv.org/abs/2108.09591
Publikováno v:
In Artificial Intelligence In Medicine May 2024 151
Deep reinforcement learning (DRL) augments the reinforcement learning framework, which learns a sequence of actions that maximizes the expected reward, with the representative power of deep neural networks. Recent works have demonstrated the great po
Externí odkaz:
http://arxiv.org/abs/2103.05115
Publikováno v:
In Theoretical and Applied Fracture Mechanics February 2024 129
Deep neural networks (DNNs) have achieved state-of-the-art performances in many important domains, including medical diagnosis, security, and autonomous driving. In these domains where safety is highly critical, an erroneous decision can result in se
Externí odkaz:
http://arxiv.org/abs/1906.04569
Publikováno v:
Computer Methods in Applied Mechanics and Engineering,2019
We propose a simple and efficient scheme based on adaptive finite elements over conforming quadtree meshes for collapse plastic analysis of structures. Our main interest in kinematic limit analysis is concerned with both purely cohesive-frictional an
Externí odkaz:
http://arxiv.org/abs/1903.03470