Results 251 to 260 of about 559,504 (336)

A Novel Machine Learning Technique for Fault Detection of Pressure Sensor. [PDF]

open access: yesEntropy (Basel)
Zhou X   +7 more
europepmc   +1 more source

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction

open access: yesAdvanced Science, EarlyView.
Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai   +5 more
wiley   +1 more source

Scaling and networking a modular photonic quantum computer. [PDF]

open access: yesNature
Aghaee Rad H   +89 more
europepmc   +1 more source

ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation Development

open access: yesAdvanced Science, EarlyView.
Box C/D snoRNP complex regulates protein translation. This study identifies ZNHIT3 as a key component of the complex and ensures normal protein expression, including transcription factors orchestrating cell fate commitment, during early mouse embryogenesis.
Guanghui Yang, Qiliang Xin, Jurrien Dean
wiley   +1 more source

Topology‐Optimized Bound States in the Continuum with High‐Q Acoustic Field Enhancement

open access: yesAdvanced Science, EarlyView.
This study presents a topology optimization method for acoustic metamaterials, achieving high‐Q resonances by redesigning a single unit cell within a periodic array. The design enables precise pressure confinement and energy trapping, validated through experiments.
Weibai Li   +2 more
wiley   +1 more source

Fault Diagnosis in Chemical Reactors with Data-Driven Methods. [PDF]

open access: yesInd Eng Chem Res
Du P   +3 more
europepmc   +1 more source

Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation

open access: yesAdvanced Science, EarlyView.
Detecting internal abnormalities in soft matter remains challenging due to its heterogeneous nature. This study introduces a method that infers hidden physical properties by matching observed deformation with simulation through parallel Bayesian optimization.
Huanyu Yang   +9 more
wiley   +1 more source

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