A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Developing a partner selection framework for digital agricultural science and technology innovation alliances. [PDF]
Li M, Li J, Zou Y.
europepmc +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Association between working alliance and treatment outcomes in a mobile health intervention with a conversational agent (CanRelax). [PDF]
Schläpfer S +5 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Utilisation patterns of systemic anticancer therapy (SACT) in patients with advanced non-small cell lung cancer (NSCLC) in England. [PDF]
Dixon LK +8 more
europepmc +1 more source
Report on the Research Data Alliance (RDA) 4th Plenary Meeting
openaire +1 more source
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson +8 more
wiley +1 more source
Working Alliance and Subjective Engagement with a Digital Avatar CBT Platform (RITch<sup>®</sup>CBT): Comparing Young Adults with and Without Co-Occurring Substance Use and Depression. [PDF]
Pezzino V +10 more
europepmc +1 more source
Concentric Rheostat Decoupled 3D Force‐Sensing Module for Smart Table Tennis Training
A 3D‐printed sensor array intrinsically decouples normal and shear forces through a unique concentric structural design. By integrating piezoresistive, sliding area‐varying capacitive, and concentric rheostat mechanisms, the 12‐sensor module achieves high‐resolution 3D force mapping without complex algorithms.
Zhe Liu +7 more
wiley +1 more source

