Results 131 to 140 of about 90,198 (293)

AI‐Driven De Novo Design of Ultra Long‐Acting GLP‐1 Receptor Agonists

open access: yesAdvanced Science, EarlyView.
De novo GLP‐1RAs can be computationally designed to exhibit extended half‐life and superior efficacy compared to Semaglutide. Abstract Peptide drugs have revolutionized modern therapeutics, offering novel treatment avenues for various diseases. Nevertheless, low design efficacy, time consumption, and high cost still hinder peptide drug design and ...
Ting Wei   +13 more
wiley   +1 more source

LEARNER-CENTERED TEACHING: THE STUDENTS' LEVEL OF LEARNING SKILLS AND STRATEGIES

open access: yes, 2018
Students are challenged to develop their own learning skills and strategies for life-long learning. With this, the study investigated and analyzed the level of learning skills and strategies of the students in relation to the extent of implementation of learner-centered teaching in the classroom.
openaire   +1 more source

BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks

open access: yesAdvanced Science, EarlyView.
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti   +8 more
wiley   +1 more source

Re‐Purposing a Modular Origami Manipulator Into an Adaptive Physical Computer for Machine Learning and Robotic Perception

open access: yesAdvanced Science, EarlyView.
Reservoir computing in the physical domain promises an alternative, more energy‐efficient approach to machine learning. However, the correlation between mechanical design and computing power remains elusive. This study sheds light on this gap by repurposing a meta‐stable modular origami manipulator into an adaptive computing kernel that can perform ...
Jun Wang, Suyi Li
wiley   +1 more source

Hinst: Human‐Like Interactive Instinct Enables Robots to Robustly Accomplish Universal Tasks

open access: yesAdvanced Science, EarlyView.
Aiming at current robot limitations of poor flexibility, poor practicality, and poor universality in task accomplishment, the authors report a human‐like interactive instinct (Hinst) and an anthropomorphic robotic system architecture. The Hinst greatly enhances the efficiency and the success rate of robotic manipulation, skill learning, and task ...
Zijian Liao   +4 more
wiley   +1 more source

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