Results 201 to 210 of about 1,018,353 (274)

Polyphenol-Enriched Extracts from Leaves of Mediterranean Plants as Natural Inhibitors of Monoamine Oxidase (MAO)-A and MAO-B Enzymes. [PDF]

Nutrients
D'Errico A, Nasso R, Ruggiero M, Rullo R, De Vendittis E, Masullo M, Mazzeo F, Arcone R.   +7 more
europepmc   +1 more source

Corruption Control and Corporate Hazardous Waste Emissions: Cross‐Country Evidence and the Moderating Role of Agenda 2030

Business Strategy and the Environment, EarlyView.
ABSTRACT The aim of this study is to examine the impact of corruption control, as a public institutional mechanism, on hazardous waste emissions of private sector entities. We also examine the extent to which Agenda 2030 moderates the relationship. We analyse data from the top 500 global companies.
Babajide Oyewo, Olayinka Adedayo Erin, Mohammed Kayode Ajape, Becky Forbin   +3 more
wiley   +1 more source

Efficient dye removal using well-crystallized layered double hydroxides and their oxides: insights into kinetics, thermodynamics, isotherm and the memory effect. [PDF]

RSC Adv
Reihana Parveen S, Thiagarajan V.
europepmc   +1 more source

From Stakeholder Pressure to Strategic Advantage: A Framework of Achieving Environment Sustainability Through Pathway of Carbon Neutrality

Business Strategy and the Environment, EarlyView.
ABSTRACT Businesses are increasingly striving to reduce their carbon footprint, with carbon offsetting emerging as a viable pathway towards achieving carbon neutrality. Such efforts signify a demonstrated commitment to fostering environmental sustainability and contributing to a more sustainable future.
Sanjeev Yadav, Ashutosh Samadhiya, Anil Kumar, Sunil Luthra, Krishan Kumar Pandey   +4 more
wiley   +1 more source

Computational and Machine‐Learning Studies of Ethylene Oligomerization

Carbon and Hydrogen, EarlyView.
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin, Zhihui Song, Heying Feng, Li Jin   +3 more
wiley   +1 more source

Retraction Note: Identification of a novel microRNA-mRNA regulatory biomodule in human prostate cancer. [PDF]

Cell Death Dis
Zhang Y, Jiang F, He H, Ye J, Mao X, Guo Q, Wu SL, Zhong W, Wu CL, Lin N.   +9 more
europepmc   +1 more source

Oxophilicity‐Driven Potential Window Engineering Enables Scalable and Low‐Emission Paired Electrosynthesis on Asymmetric CuOx@Ag Platform

Carbon and Hydrogen, EarlyView.
An asymmetric CuOx@Ag electrocatalyst platform enables paired electrochemical valorization of glycerol and 4‐nitrophenol, while effectively decoupling both half‐reactions from OER and HER. Ag‐mediated surface engineering expands the potential window and boosts reaction selectivity, achieving > 90% Faradaic efficiencies at both electrodes.
Xulai Gong, Linjie Zhao, Yongde Long, Hongwu Chen, Jiaxin Bai, Lei Chao, Xinyou Han, Baoguang Mao, Xianwei Liu, Yuanqing Shen, Wei Liu, Bowen Liu, Husitu Lin, Yang Song, Chuangang Hu   +14 more
wiley   +1 more source

Efficacy of MAO-B and COMT inhibitors on quality of life in patients with Parkinson's disease: a Bayesian network meta-analysis. [PDF]

Front Neurol
Shim SR, Jung YJ, Kwon KY, Rhee TG, Lee SM.   +4 more
europepmc   +1 more source

Shedding Light on Synthetic Autocatalysis: From Conventional Closed‐Shell Chemistries to Overlooked Open‐Shell Occurrences

Chemistry – A European Journal, EarlyView.
Why add another catalyst when the product itself holds the power to catalyze its own formation? Autocatalysis in synthetic chemistry enhances reaction efficiency and uncovers novel catalytic behavior across both closed‐shell and open‐shell systems, expanding reactivity and enabling innovative design strategies.
Jaspreet Kaur, Joshua P. Barham
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source