Results 211 to 220 of about 1,759,415 (331)

Development of a multimodal fully automated ensemble model to predict EGFR mutation and efficacy of EGFR-TKI in non-small cell lung cancer. [PDF]

open access: yesTransl Lung Cancer Res
Xu S   +10 more
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Self‐Cooling Molecular Spin Qudits

open access: yesAdvanced Materials, EarlyView.
A material made of [GdEr] molecular dimers can encode a qudit and perform as a magnetic refrigerant. Microwave resonant pulses coherently manipulate its 16 spin states, while direct demagnetization measurements cool the material and a device down to temperatures below 1 K.
Elías Palacios   +12 more
wiley   +1 more source

Early Tuberculosis Detection via Privacy-Preserving, Adaptive-Weighted Deep Models. [PDF]

open access: yesDiagnostics (Basel)
Gasmi K   +9 more
europepmc   +1 more source

STEGG: Structural TCR-pMHC Ensemble Generator and Gallery

open access: green
Jared K. Slone   +5 more
openalex   +1 more source

Revealing How Acid Sites Enhance the Electrocatalytic Glycerol Oxidation Performance on Pt Loaded Zeolite‐Carbon Composite Materials

open access: yesAdvanced Materials, EarlyView.
In the work reported herein, the catalytic effects of acid sites on electrocatalytic glycerol oxidation reaction are investigated by using a novel catalytic material system that integrates Pt metal sites with acidic Al sites. Abstract The catalytic role and function of acid sites in solid acid catalysts, such as zeolites, are well understood in the ...
Ju Ye Kim   +11 more
wiley   +1 more source

Predicting tourism growth in Saudi Arabia with machine learning models for vision 2030 perspective. [PDF]

open access: yesSci Rep
Alsulami AG   +5 more
europepmc   +1 more source

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