Fengxi Chen

Iron-amidoximated polyacrylonitrile fiber catalyst with high intrinsic peroxidase-like activity for efficient and durable degradation of organic pollutants

Bingbing Chen, Huaixiang Lv, Sheng Guo, Rong Chen et autres

cn (code pays fourni par la source)

Facet-dependent nonradical Fenton-like catalysis over Cu2WS4: Selective H2O2 activation and Cu(III) formation

Zhongxiuyuan Long, Hui Li, Xia Ju, Jawad Ali et autres

cn (code pays fourni par la source)

High-valent Cu(III)-mediated Fenton-like catalysis on W C engineered Cu2WS4 for low H2O2 consumption and pH-universal antibiotic degradation

Zhongxiuyuan Long, Li He, Yuan Zhou, Sheng Guo et autres

cn (code pays fourni par la source)

3D‐Printed Porous High‐Entropy Alloy Boosts Peroxymonosulfate Activation for Long‐Term Organic Pollutant Degradation

Sheng Guo, Mengmeng Yang, Xizi Gao, Huang Yi et autres

ABSTRACT High‐entropy alloys (HEAs) have attracted considerable interest from researchers owing to their tunable chemical compositions, exceptional structural stability, and promising catalytic properties. However, their large‐scale application is often hindered by complex manufacturing techniques and poor durability. Herein, we report a simple …

cn, sk (code pays fourni par la source)

Correction: Effect of the renin–angiotensin–aldosterone system inhibitors on time to nucleic acid negative conversion in hypertensive patients with SARS-CoV-2 omicron infection: a propensity score matching study

Ru Wen, Jingwen Li, Fengxi Chen, Mengfei Li et autres

cn, au (code pays fourni par la source)

Construction of hierarchically porous α-Fe2O3 nanosheets from Fe-PVP hybrid gel for sustainable Fenton-like degradation of tetracycline antibiotics with low H2O2 consumption

Sheng Guo, Fengxi Chen

cn (code pays fourni par la source)

Automatic differentiation of Parkinson’s disease motor subtypes based on deep learning and radiomics

Dongming Hui, Xia Wang, Lu Xie, Fengxi Chen et autres

Objective: Parkinson's disease (PD) is a common neurodegenerative disorder, and the early and accurate differentiation of its motor subtypes is of significant importance for clinical diagnosis and treatment planning. Research has shown that deep brain nuclei such as the thalamus, caudate nucleus, …

cn (code pays fourni par la source)

GPT-4 vs. radiologists: who advances mediastinal tumor classification better across report quality levels? a cohort study

Ru M. Wen, Xiaoming Li, Kang Chen, Mo Sun et autres

BACKGROUND: Accurate mediastinal tumor classification is crucial for treatment planning, but diagnostic performance varies with radiologists' experience and report quality. PURPOSE: To evaluate generative pretrained transformer's (GPT-4's) diagnostic accuracy in classifying mediastinal tumors from radiological reports compared to radiologists of different experience …

cn (code pays fourni par la source)

Unlocking the Diagnostic and Therapeutic Potential of microRNA in Diabetes: A Bibliometric and Visualized Analysis (2003–2023)

Jiajing Yu, Kai Xia, Jiaming Feng, Zehui Xu et autres

Background: MicroRNAs (miRNAs) hold considerable therapeutic potential for diabetes mellitus (DM). Over the past few decades, substantial progress has been made in miRNA-related diabetes research; however, comprehensive bibliometric analyses in this field remain limited. This study aims to comprehensively review the research …

cn (code pays fourni par la source)

Myeloid‐Derived Suppressor Cells in Cancer: Mechanistic Insights and Targeted Therapeutic Innovations

Tian Shou Hu, Jianxue Zhai, Jiajia Peng, Chuxuan Wang et autres

Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population of immature myeloid cells that expand aberrantly in cancer and exhibit potent immunosuppressive properties. They contribute to tumor progression through both immunological and nonimmunological mechanisms. Immunologically, MDSCs suppress antitumor responses by inhibiting effector cells …

cn (code pays fourni par la source)

Automatic diagnosis and measurement of intracranial aneurysms using deep learning in MRA raw images

Qingning Yang, Fengxi Chen, Li Li, Rong Zeng et autres

Background The traditional procedure of intracranial aneurysm (IA) diagnosis and evaluation in MRA is manually operated, which is time-consuming and labor-intensive. In this study, a deep learning model was established to diagnose and measure IA automatically based on the original MR images. …

cn (code pays fourni par la source)

Enhanced ultrasonic degradation of organic contaminants: Synergistic promotion effects of iron salts and mechanical agitation

Li Zhu, Lijuan Zhang, Xizi Gao, Fengxi Chen et autres

cn (code pays fourni par la source)