Results 41 to 50 of about 66,383 (257)
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
New Trends in Bioremediation Technologies Toward Environment-Friendly Society: A Mini-Review
Today's environmental balance has been compromised by the unreasonable and sometimes dangerous actions committed by humans to maintain their dominance over the Earth's natural resources.
Kunal Dutta +2 more
doaj +1 more source
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
Accepted to ICML ...
Zhaoyang Wang 0004 +7 more
openaire +4 more sources
Enhancing reinforcement learning controllers with GAN-generated data and transfer learning
This study addresses the challenge of data scarcity in training reinforcement learning (RL) controllers for power system economic dispatch problems (EDP) by integrating Generative Adversarial Network (GAN)-generated synthetic data and transfer learning ...
Chang Xu +2 more
doaj +1 more source
In the autonomous car, perception with point cloud semantic segmentation helps obtain a wealth of information about the surrounding road environment.
Jimin Jeong +5 more
doaj +1 more source
Prospecting the protein design landscape
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Metrics for Evaluating Synthetic Time-Series Data of Battery
The advancements in artificial intelligence have encouraged the application of deep learning in various fields. However, the accuracy of deep learning algorithms is influenced by the quality of the dataset used.
Sujin Seol +3 more
doaj +1 more source
CEACAM1 participation in breast cancer progression
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
SYNTHETIC EDUCATIONAL ENVIRONMENT – A FOOTPACE TO NEW EDUCATION
The article studies the problems of introducing a synthetic learning environment in the practice of education. The modern views on the essence of the learning environment and its new forms based on information and communication technologies are analyzed.
Olga P. Pinchuk +2 more
doaj

