Results 131 to 140 of about 156,463 (334)

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

Advanced 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, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +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

Advanced 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, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

11β-Hydroxylation of norethisterone acetate byCurvularia lunata [PDF]

, 1991
P. Chosson, Hilario Vidal, André Aumelas, François Couderc   +3 more
openalex   +1 more source

16Alpha-hydroxylation of estrone by human cytochrome P4503A4/5 [PDF]

, 1998
Zhuoshan Huang
openalex   +1 more source

Hypermethylated gene ANKDD1A is a candidate tumor suppressor that interacts with FIH1 and decreases HIF1α stability to inhibit cell autophagy in the glioblastoma multiforme hypoxia microenvironment. [PDF]

, 2019
Ectopic epigenetic mechanisms play important roles in facilitating tumorigenesis. Here, we first demonstrated that ANKDD1A is a functional tumor suppressor gene, especially in the hypoxia microenvironment.
Fan, Li, Feng, Jianbo, Fu, Haijuan, Li, Guiyuan, Li, Peiyao, Liu, Changhong, Liu, Qiang, Liu, Qing, Ren, Xing, She, Xiaoling, Sun, Yingnan, Wu, Minghua, Zhang, Yan, Zhao, Chunhua   +13 more
core   +1 more source

The action of hydrogen peroxide on the hydroxylation of p-coumaric acid by spinach-beet phenolase [PDF]

, 1975
Peter F. T. Vaughan, R J McIntyre
openalex   +1 more source

An improved 11 α-hydroxylation of progesterone by Aspergillus ochraceus TS [PDF]

, 1978
Timir B. Samanta, Nairita Roy, S. Chattopadhyay   +2 more
openalex   +1 more source

Impact of surface hydroxylation in MgO-/SnO-nanocluster modified TiO2 anatase (101) composites on visible light absorption, charge separation and reducibility.

, 2017
Michael Nolan, Stephen Rhatigan
openalex   +1 more source

(102)Hydroxylation of Fatty Oils.X. Hydroxylation with Persulfate.

, 1950
Yoshio Ishii, Toichi Fujita
openalex   +2 more sources

Phosphate Removal by ZIF‐8 and Magnetic Fe3O4/ZIF‐8: A Comparative Study of Capacity, Kinetics, and Regeneration

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study presents a comparative evaluation of phosphate adsorption on pristine ZIF‐8 and Fe3O4‐doped ZIF‐8 (Fe3O4/ZIF‐8), a hybrid adsorbent combining high surface area with magnetic separability. Structural integrity and composition were confirmed using SEM, XRD, FTIR, and XPS.
Edward Hartman Ernest, Maria Stefani, Immanuel Joseph Ondang, Artik Elisa Angkawijaya, Shella Permatasari Santoso, Hsien‐Yi Hsu, Felycia Edi Soetaredjo, Kuan‐Chen Cheng, Shin‐Ping Lin, Chang‐Wei Hsieh, Suryadi Ismadji   +10 more
wiley   +1 more source