A5081259112- Advanced oxidation water treatment
- Advanced Photocatalysis Techniques
- Nonmelanoma Skin Cancer Studies
- Metal-Organic Frameworks: Synthesis and Applications
- Cutaneous Melanoma Detection and Management
- Mercury impact and mitigation studies
- Genital Health and Disease
- Covalent Organic Framework Applications
- Apelin-related biomedical research
- Adsorption and biosorption for pollutant removal
- Biomedical Text Mining and Ontologies
- Dyeing and Modifying Textile Fibers
- Catalytic Processes in Materials Science
- Pancreatic and Hepatic Oncology Research
- Aerogels and thermal insulation
- Silicone and Siloxane Chemistry
- Advanced Sensor and Energy Harvesting Materials
- Skin Protection and Aging
- Cancer Immunotherapy and Biomarkers
- Photodynamic Therapy Research Studies
- Additive Manufacturing and 3D Printing Technologies
- Optimism, Hope, and Well-being
- COVID-19 and healthcare impacts
- Environmental remediation with nanomaterials
- Advanced battery technologies research
Zhejiang Sci-Tech University
2021-2024
Central South University
2023
Xiangya Hospital Central South University
2023
Quzhou City People's Hospital
2023
Henan University of Engineering
2021
Abstract Electronic structure modulation of active sites is critical important in Fenton catalysis as it offers a promising strategy for boosting H 2 O activation. However, efficient generation hydroxyl radicals (•OH) often limited to the unoptimized coordination environment sites. Herein, we report rational design and synthesis iron oxyfluoride (FeOF), whose strongly coordinate with most electronegative fluorine atoms characteristic moiety F-(Fe(III)O 3 )-F, effective activation potent •OH...
Metal–organic frameworks (MOFs) featuring porous structures and large specific surface areas have shown great potential in removing organic pollutants from wastewater via adsorption processes. Although the particle size of MOFs determines performance (something known as size-dependent effect), engineering it into desirable dimensions for enhancing is a challenge. Here, we develop practical facile approach to regulate copper benzene-1,3,5-tricarboxylate (Cu-BTC) adsorbents with high...
Large language models (LLMs) have revolutionized Natural Language Processing (NLP) by minimizing the need for complex feature engineering. However, application of LLMs in specialized domains like biopharmaceuticals and chemistry remains largely unexplored. These fields are characterized intricate terminologies, knowledge, a high demand precision areas where general purpose often fall short. In this study, we introduce PharmGPT, suite multilingual with 13 billion 70 parameters, specifically...
Background Private-part skin diseases (PPSDs) can cause a patient’s stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve PPSDs, especially in preventing deterioration tumors private parts such as Paget disease. However, our knowledge, there currently no research on using AI identify PPSDs due complex backgrounds lesion areas and challenges data collection. Objective This study aimed develop evaluate AI-aided system for...
Abstract Vascular endothelial barrier dysfunction is the most prominent manifestation and important cause of mortality in infectious acute lung injury (ALI). Exogenous apelin effective ameliorating lipopolysaccharide (LPS)-induced inflammatory response ALI lungs, reducing exudation tissue decreasing mortality. This study set out to investigate association between Friend leukemia integration-1 (Fli-1) prevention treatment ALI, elucidate molecular mechanism by which protects permeability...
In recent years, large language models(LLMs) have attracted significant attention due to their exceptional performance across a multitude of natural process tasks, and been widely applied in various fields. However, the application models Intellectual Property (IP) domain is challenging strong need for specialized knowledge, privacy protection, processing extremely long text this field. technical report, we present first time low-cost, standardized procedure training IP-oriented LLMs,...
Peracetic acid (PAA) has recently been considered a promising oxidant candidate for heterogeneous Fenton-like reactions; however, the main generation and contribution of organic radicals (R-O•) with unsatisfactory oxidation potential compromises wastewater decontamination efficiency. In this study, we demonstrate rational design synthesis ultrafine FeOx nanocluster-anchored carbonaceous nanosheets (UFe-CN) altering PAA activation pathway from R-O• to •OH dominant process via in situ...
In this work, graphene oxide (GO) is printed on the surface of polyester fabric, and conductive fabrics are prepared through hot-pressing reduction method. The influence GO concentration, temperature time electrical conductivity investigated. conductivity, whiteness/yellowness, reflectivity, strength, washability friction resistance tested. characterized by scanning electron microscopy (SEM), Raman spectroscopy, Fourier transform infrared attenuated total reflection spectroscopy X-ray...
Inhibitors of programmed cell death protein 1 and its associated ligand (PD-L1) are widely used in cancer treatment. However, medical costs benefits PD-1/PD-L1 inhibitors need attention owing to differences response rates among individuals. This study explored global trends the health economics field enhance their worldwide development. Bibliometric analysis all documents currently indexed Web Science Core Collection from inception 2022 was performed. Publication year, authors, countries,...
<sec> <title>BACKGROUND</title> Private-part skin diseases (PPSDs) can cause a patient’s stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve PPSDs, especially in preventing deterioration tumors private parts such as Paget disease. However, our knowledge, there currently no research on using AI identify PPSDs due complex backgrounds lesion areas and challenges data collection. </sec> <title>OBJECTIVE</title> This study...