Results 271 to 280 of about 6,058,834 (370)
National Library and Information Services: A Handbook for Planners (Book Review)
Sylvia G. Faibisoff
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Crystal Structure Prediction of Cs–Te with Supervised Machine Learning
High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick+1 more
wiley +1 more source
The ΔRMSF$\Delta {\rm RMSF}$ analysis reveals significant flexibility differences between free NS3 and the NS2B/NS3 complex, with notable deviations in specific regions. Key residues driving NS2B binding are identified, and the protonation state of catalytic serine affects oxyanion hole formation.
Jurica Novak+2 more
wiley +1 more source
ACRL 1978 National Conference “New Horizons For Academic Libraries”
American Library Association
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The present study constructs machine‐learning models to resolve developmental relationships among auditory performance, auditory cortical processing, and functional connectivity of the bilateral language network during the first year of restored hearing. The results demonstrate that asymmetric inter‐hemisphere communication contributes significantly to
Xue Zhao+6 more
wiley +1 more source