Results 181 to 190 of about 3,718,806 (407)

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

open access: yesAdvanced 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 analysis of social appearance anxiety levels of physical education teacher candidates in terms of different variables

open access: yesTürk Spor ve Egzersiz Dergisi, 2017
The purpose of this study is to examine the social appearance anxiety levels of physical education teacher candidates based on different variables. Participated in the current study 600 physical education teacher candidates studying at physical education
Metin Yuceant, Huseyin Unlu
doaj  

Examining Disequilibrium in an Immersion Experience [PDF]

open access: yes, 2013
This study examines the disequilibrium raised by a cultural immersion experience, using the structure of White racial identity development, in an effort to better scaffold the immersion experience in the future.
Addleman, Rebecca A.   +2 more
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

Using Blogs to Foster Inquiry, Collaboration, and Feedback in Pre-Service Teacher Education

open access: yes, 2009
This chapter presents a critical case study on the use of information technology in a pre-service teacher education program. The authors integrated Weblogs (blogs) into two constructivist-oriented teacher preparation courses with the goal of helping ...
Gaffney, Michael Evan   +3 more
core  

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