Results 261 to 270 of about 1,327,327 (336)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The involvement of underrepresented countries in the European rare diseases research alliance: Morocco's assets. [PDF]

Orphanet J Rare Dis
Fdil N.
europepmc   +1 more source

Contractor alliances and the new world of work

, 2001
Charlie Owen, HI Bound
openalex  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
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

The effects of clinical supervision on supervisees and patient outcomes in psychotherapy - a systematic review and meta-analysis. [PDF]

Front Psychiatry
Schreyer B, Leithner C, Eilers R, Gossmann K, Rosner R.   +4 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
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

Meeting the informational needs of people with advanced breast cancer: a global expert review and call-to-action for 2025-2035 (Goal 6). [PDF]

Breast
Cabanes A, Gilchrist J, Zambon M, Gilbert M, Lewis A, Attfield G, Cardoso F.   +6 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Exploring psychological counselors' perspectives on the characteristics and dynamics of online counseling. [PDF]

Front Psychol
Buğa A, Özdemir M, Bozbayındır F.
europepmc   +1 more source

Diversity of the forest communities from the Carpinion betuli and Fagion sylvaticae alliances in the Strzyzowskie Foothills, Western Carpathians.

, 2010
Krystyna Towpasz, Alina Stachurska‐Swakoń   +1 more
openalex   +1 more source