Results 161 to 170 of about 194,006 (386)

Evidence for involvement of human CYP3A in the 3‐hydroxylation of quinine [PDF]

open access: bronze, 1997
H. Zhang   +5 more
openalex   +1 more source

HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O2 Sensing

open access: yesScience, 2001
M. Ivan   +9 more
semanticscholar   +1 more source

Scalable Liquid‐Phase Exfoliation of h‐BN for Solar‐Reflective and Thermally Stable Polymer Aerogels

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
High‐pressure homogenization exfoliates hexagonal boron nitride (h‐BN) into stable nanosheets, which are incorporated into PVA, CMC, and HEC matrices to form lightweight composite aerogels. Tuning h‐BN loading (0–50 wt%) transforms the structure from porous to densely packed, tailoring optical, thermal, and mechanical properties. An optimized PVA/20 wt%
Mouza Alaryani   +6 more
wiley   +1 more source

C. elegans EGL-9 and Mammalian Homologs Define a Family of Dioxygenases that Regulate HIF by Prolyl Hydroxylation

open access: yesCell, 2001
A. C. Epstein   +19 more
semanticscholar   +1 more source

Integrated Experimental and Theoretical Insights into Defect‐Induced Functionalities of Cobalt Doped NiO for Multifunctional Solar‐Driven Applications

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Rational defect engineering in Co‐doped NiO nanostructures, synthesized via a sustainable green route, enables precise bandgap modulation and defect‐state tailoring. Combined experimental–density functional theory analysis identifies 15% Co doping as the optimal threshold for maximizing photocatalytic degradation, photothermal response, and hydrogen ...
Sumayya M. Ansari   +8 more
wiley   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar   +3 more
wiley   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki   +3 more
wiley   +1 more source

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