- Hydrology and Watershed Management Studies
- Social Media in Health Education
- Health Literacy and Information Accessibility
- Digital Mental Health Interventions
- Chronic Lymphocytic Leukemia Research
- Mental Health via Writing
- Patient-Provider Communication in Healthcare
- Nanoplatforms for cancer theranostics
- Precipitation Measurement and Analysis
- Hydrological Forecasting Using AI
- Data-Driven Disease Surveillance
- Mental Health Research Topics
- Heme Oxygenase-1 and Carbon Monoxide
- Sulfur Compounds in Biology
- Cancer-related Molecular Pathways
- Advanced Nanomaterials in Catalysis
- Phytochemistry and Biological Activities
- Plant Water Relations and Carbon Dynamics
- Safety and Risk Management
- Topic Modeling
- Traditional Chinese Medicine Analysis
- Chronic Myeloid Leukemia Treatments
- Luminescence Properties of Advanced Materials
- Natural Language Processing Techniques
- Immune cells in cancer
Beihang University
2025
Beijing University of Chinese Medicine
2022-2024
Nantong University
2022-2024
Peking University
2018
Achieving precise control over emission characteristics, such as wavelength and lifetime, is critical to unlocking the full potential of luminescent nanomaterials for diverse applications. In this work, we present a strategy fine-tuning optical properties upconversion nanocrystals by engineering parts-per-million (ppm)-doping-level lanthanide impurities. We show that even trace impurities (∼10 ppm, fewer than 10 atoms per nanocrystal), which are only hundredth conventionally studied doping...
Hypoxia can lead to liver fibrosis and severely limits the efficacy of photodynamic therapy (PDT). Herein, carbon nitride (CN)-based hybrid nanoparticles (NPs) VPSGCNs@TSI for light-driven water splitting were utilized solve this problem. CNs doped with selenide glucose (Se-glu) enhance their red/NIR region absorption. Then, vitamin A-poly(ethylene glycol) (VA-PEG) fragments aggregation-induced emission (AIE) photosensitizers TSI introduced into Se-glu-doped CN NPs (VPSGCNs) construct NPs....
Precipitation provides the most crucial input for hydrological modeling. However, rain gauge networks, common precipitation measurement mechanisms, are sometimes sparse and inadequately distributed in practice, resulting an imperfect representation of rainfall spatial variability. The objective this study is to analyze sensitivity different model structures density distribution gauges evaluate their reliability robustness. Based on a network 20 Jinjiang River Basin, south-eastern China,...
Social stress in daily life and the COVID-19 pandemic have greatly impacted mental health of population. Early detection a predisposition to severe psychological distress is essential for timely interventions. This paper analyzed 4036 samples participating 2019–2020 National Health Information Trends Survey (HINTS) identified 57 candidate predictors based on univariate chi-square t-test analyses. Five machine learning methods, namely logistic regression (LR), automatic generalized linear...
The accurate diagnosis and effective therapy of malignant tumors is still a challenge owing to its poor prognosis, recurrence, drug resistance. In this study, tumor microenvironment responsive high O2-economic effect nano-theranostic agent GOx@NPs was constructed through the self-assembly GOx CDDO-Fe, which synthesized by coupling natural chemotherapeutic CDDO-Me blocked ferrocene (Fc) with near-infrared (NIR) fluorescence probe hemicyanine (I-CyOH) via redox-responsive linker...
To improve the information service quality of online Traditional Chinese Medicine (TCM) community, this study investigated users’ needs, feedback and relationship between them. Using qualitative content analysis, basic characteristics needs were obtained. Logistic regression was used to explore impact different need feedback. The main findings are as follows: 1) Disease consultation, health preservation, professional discussion, knowledge sharing experience description major 5 types in TCM...
Empathy between doctors and patients is crucial in enhancing patient satisfaction with medical consultations. This study, grounded empathy theory, employs natural language processing machine learning algorithms to explore the factors influencing online healthcare services, particularly impact of doctor-patient empathy.
Toxicodendron vernicifluum (Stokes) F.A. Barkley, also called 'Qishu', is a shrub belonging to the Anacardiaceae family and producing lacquer. In this work, new flavonoid glycoside (1), was isolated from heartwood of T. vernicifluum, together with four known compounds (2-5). The structure compound determined as 4′,7-dihydroxy-3′-methoxy-3-O-β-D-glucopyranosyl-flavonoid on basis acidic hydrolysis, spectroscopic analyses. Compound 1 showed significantly cytotoxic against A549 cell lines values...
Abstract Understanding various historical entity information (e.g., persons, locations, and time) plays a very important role in reasoning about the developments of events. With increasing concern fields digital humanities natural language processing, named recognition (NER) provides feasible solution for automatically extracting these entities from texts, especially Chinese research. However, previous approaches are domain-specific, ineffective with relatively low accuracy,...
<sec> <title>BACKGROUND</title> Accessing medical resources has been a challenging issue in China, particularly for people who do not live big cities. Online “Ask the doctor” (AtD) services are gaining popularity rapidly. On AtDs, patients or their caregivers can ask questions to professionals and receive advice without going through hassles of visiting local hospitals doctors’ offices. However, communication patterns remaining challenges this tool understudied. </sec>...
The structure-based drug design technique was used to find 18 novel hydrazidoarylaminopyrimidine-based BTK/FLT3 dual inhibitors. At 1 µM and 0.05 µM, the majority of target compounds inhibited BTK FLT3 by more than 80%, respectively. Among these, compound RSH-7 most effectively, with IC50 values 47 12 nM, respectively, which were superior spebrutinib (BTK = 54 nM) sorafenib (FLT3 32 nM). effectively proliferation multiple hematological malignancy cells ranging from 3-17 81-133 folds lower...