By analyzing the archival data from the Atacama Large Millimeter/submillimeter Array (ALMA), an international team of ...
Cytochalasin E, an indispensable reagent for disrupting actin polymerization and advancing cell biology studies, has emerged ...
Abstract: Deep learning-based inversion methods show great promise. The most common way to develop deep learning inversion techniques is to use synthetic (i.e., computationally-generated) data for ...
ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...
The Justice Department early Tuesday released more than 11,000 additional documents and photos from the Jeffrey Epstein files ...
CpG density and epigenetic modification state modulate DNA mechanics, altering its intrinsic compatibility with nucleosome formation.
This year, AI went from an experimental nice-to-have to something no fashion executive can ignore. Here are the most ...
Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.
Abstract: The main challenges in the field of fault diagnosis of robot arms lie in the difficulties of acquiring fault data and ensuring model applicability. For a fault robot arm, the trained models ...
Introduction: Advances in automation and AI/ML offer new opportunities for plant science, including design, modeling, and analysis. This study aimed to develop an automated platform for researching ...
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