Yanan Shang

Surface oxygen vacancy trigger peroxymonosulfate activation with cobalt modified montmorillonite for ofloxacin degradation: The synergistic effect of 1O2 and Co(IV)=O

Xiaoqiang Cao, Xingyao Liu, Yaqi Wang, Haining Wang et autres

cn (code pays fourni par la source)

Orchestrating Micron‐to‐Atomic Catalytic Hierarchies for Ozonation‐Based Water Purification: Bridging Dynamic Insights with Reactor Architectures and Implementation

Xing Xu, Zhengheng Xu, Tuo Wang, Mingming Ta et autres

Abstract Homogeneous ozone‐based advanced oxidation processes (AOPs) enable pollutant degradation through direct oxidation or radical‐based pathways, inherent limitations persist particularly ozone's low aqueous solubility and intensive energy demands. This challenge is being redefined through catalyst engineering, where nanoscale systems demonstrate quantum‐enhanced efficiency …

cn (code pays fourni par la source)

Fe/N-doped biochar with in-situ grown iron oxide nanoparticle clusters for efficient antibiotic degradation via enhanced two-electron oxygen reduction in electro-Fenton systems

Yanhui Shi, Shujuan Liu, Yanan Shang, Keren Shi et autres

cn, sa (code pays fourni par la source)

Synergy of nanoclusters/single atoms regulates sustainable oxidation pathways for self-motivated Fenton-like processes

Mengyao Fan, Yanwei Li, Tianran Zhang, Yanyou Wu et autres

cn (code pays fourni par la source)

Surface oxygen vacancy trigger chlorite activation with BiOI for sulfamethoxazole degradation

Dong Fang Yang, Xiaoye Liu, Xingyao Liu, Zhaojing Zhu et autres

ABSTRACT A UV-induced modification method was employed to introduce photoexcited oxygen vacancies (OV-BiOI) into BiOI, creating a multiphase catalyst that effectively catalyzes chlorite to yield chlorine dioxide (ClO 2 ), the primary reactive oxygen species (ROS) for the degradation of sulfamethoxazole (SMX). …

cn (code pays fourni par la source)

Chemical structures of dissolved organic matter control mercury isotopic fractionation during methylmercury photodegradation

Lian Zhang, Yanbin Li, Yongguang Yin, Guangliang Liu et autres

cn (code pays fourni par la source)

Synergistic Architectures in Fenton‐Like Catalysis: Bridging Single‐Atom and Nanoparticle/Cluster Dynamics for Enhanced Activity, Stability, and Selectivity

Mengyao Fan, Tianran Zhang, Siyuan You, Yanan Shang et autres

Abstract Synergy of single atoms and nanoparticles (NPs)/clusters for boosting Fenton‐like reactions has been reported recently, but their activity‐stability‐selectivity tradeoff in Fenton‐like chemistry has not been considered. In this review, the latest advancements in synergistic effects between single atoms and NPs/clusters are …

cn (code pays fourni par la source)

A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials

Bhargav Teja Nallapu, Kellen K. Petersen, Tianchen Qian, İdris Demirsoy et autres

BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals can increase power to detect treatment effects. We aimed to develop machine learning-based predictive …

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Electron transfer chemistry triggered by silicon-doped carbon catalysts derived from natural minerals for the degradation of organic pollutants

Wan-Yin Gao, Xiaoqiang Cao, Lifei Hou, Haoyun Lu et autres

cn (code pays fourni par la source)

Unraveling the metal size-dependent origin in activating peracetic acid with cobalt single atoms: Collaboration of radical and non-radical mechanisms

Chen Chen, Longlong Zhang, Hongmin Li, Xing Xu et autres

cn (code pays fourni par la source)

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Chenzhong Yin, Phoebe E. Imms, Nahian F. Chowdhury, Nikhil N. Chaudhari et autres

Brain age (BA), distinct from chronological age (CA), can be estimated from MRIs to evaluate neuroanatomic aging in cognitively normal (CN) individuals. BA, however, is a cross-sectional measure that summarizes cumulative neuroanatomic aging since birth. Thus, it conveys poorly recent or contemporaneous …

us (code pays fourni par la source)

Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain

Heejong Kim, Batuhan K. Karaman, Qingyu Zhao, Alan Q. Wang et autres

Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A central goal in longitudinal studies is tracking relevant change over time. Traditional methods remove nuisance variation with custom pipelines to focus on significant changes. In this work, we present …

us, ca, jp (code pays fourni par la source)