Results 131 to 140 of about 90,198 (293)
AI‐Driven De Novo Design of Ultra Long‐Acting GLP‐1 Receptor Agonists
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
Participatory learning as a student-centered teaching technique during the COVID-19 pandemic
Tafirenyika Mafugu
openalex +2 more sources
LEARNER-CENTERED TEACHING: THE STUDENTS' LEVEL OF LEARNING SKILLS AND STRATEGIES
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
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
Student-centered Approach in Teaching and Learning: What Does It Really Mean?
Kuok Ho Daniel Tang
openalex +2 more sources
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
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

