A5101472330- Educational Reforms and Innovations
- Pharmacological Effects of Natural Compounds
- Topic Modeling
- Forest, Soil, and Plant Ecology in China
- Coastal wetland ecosystem dynamics
- Influenza Virus Research Studies
- Regional Development and Environment
- Plant Growth and Agriculture Techniques
- Asthma and respiratory diseases
- Inhalation and Respiratory Drug Delivery
- interferon and immune responses
- Environmental and Agricultural Sciences
- Environmental Changes in China
- Machine Learning in Healthcare
- Immune Response and Inflammation
- Wastewater Treatment and Nitrogen Removal
- Berberine and alkaloids research
- Human Motion and Animation
- Medical Research and Treatments
- Education and Technology Integration
- Diverse Topics in Contemporary Research
- Hepatitis C virus research
- Clostridium difficile and Clostridium perfringens research
- Medicinal Plant Pharmacodynamics Research
- Phagocytosis and Immune Regulation
Jilin University
2019-2025
Hainan Normal University
2024-2025
Xinxiang Central Hospital
2024
Army Medical University
2024
Museum of Fine Arts, Houston
2024
Xinxiang Medical University
2024
Jilin Medical University
2020-2022
The University of Texas Health Science Center at Houston
2022
China Railway Construction Corporation (China)
2020
Central South University
2020
Abstract Importance The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data extracting meaningful information with minimal training data. By developing refining prompt-based strategies, we can significantly enhance models’ performance, making them viable tools for NER tasks possibly reducing reliance on extensive annotated datasets. Objectives This quantifies capabilities GPT-4 named entity recognition (NER) proposes...
Objective: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks proposes task-specific prompts to improve their performance. Materials Methods: We evaluated these models on two NER tasks: (1) extract medical problems, treatments, tests from notes in MTSamples corpus, following 2010 i2b2 concept extraction shared task, (2) identifying nervous system disorder-related adverse events safety reports vaccine event reporting (VAERS). To GPT...
Abstract Background Gut microbiota (GM) of patients with liver cancer is disordered, and syet no study reported the GM distribution cirrhosis‐induced HCC (LC‐HCC) nonliver (NLC‐HCC). In this study, we aimed to characterize gut dysbiosis LC‐HCC NLC‐HCC elucidate role in pathogenesis HCC. Methods A consecutive series fecal samples hepatitis (24 patients), cirrhosis (75 patients: 35 infected by HBV, 25 HCV, 15 alcoholic disease), healthy controls (20 patients) were obtained sequenced on...
Abstract Background Severe, steroid-resistant asthma (SSRA) is a serious clinical problem in management. Affected patients have severe symptoms, worsened quality of life, and do not respond to steroid, mainstay steroid treatment asthma. Thus, effective therapies are urgently needed. Exosomes derived from mesenchymal stem cell (MSC-Exo) has become attractive candidates for the lung inflammatory diseases through its immunomodulatory effects. In this study, we explored therapeutic effects...
Allergic rhinitis (AR) is a common heterogeneous chronic disease with high prevalence and complex pathogenesis influenced by numerous factors, involving combination of genetic environmental factors. To gain insight into the AR to identity diagnostic biomarkers, we combined systems biology approach analyze microbiome serum composition. We collected inferior turbinate swabs samples study metabolome 28 patients allergic 15 healthy individuals. sequenced V3 V4 regions 16S rDNA gene from upper...
Conversational bots have become non-traditional methods for therapy among individuals suffering from psychological illnesses. Leveraging deep neural generative language models, we propose a trainable conversational model therapy-oriented response generation. We leverage transfer learning during training on and counseling based data Reddit AlexanderStreet. This was done to adapt existing models – GPT2 DialoGPT the task of automated dialog Through quantitative evaluation linguistic quality,...
Acute myeloid leukemia (AML) is a heterogeneous hematological malignancy with historically high mortality rates. The treatment strategies for AML still internationally based on anthracyclines and cytarabine, which remained unchanged decades. With the rapid advance sequencing technology, molecular targets of leukemogenesis disease progression related to epigenetics are constantly being discovered, important prognosis AML. Traditional Chinese medicine (TCM) characterized by novel...
When only limited borehole data are available, making optimum use of the existing is crucial for performing a preliminary assessment investigated site. In this paper, relationships between and permeability coefficient were first analyzed. These then used to establish model estimating rock mass that takes into account influence from confining pressure on seepage flow. The proposed can reduce number hydraulic tests which time consuming very costly allow determination change in throughout...
Influenza A virus (IAV) infection leads to severe inflammation, and while epithelial-driven inflammatory responses occur via activation of NF-κB, the factors that modulate particularly negative regulators are less well-defined. In this study we show A20 is a crucial molecular switch dampens IAV-induced responses. Chronic exposure low-dose LPS environment can restrict excessive inflammation. The mechanisms provides suppress inflammation remain elusive. Here, our evidences chronic suppressed...
The heterogeneous nodes in the Internet of Things (IoT) are relatively weak computing power and storage capacity. Therefore, traditional algorithms network security not suitable for IoT. Once these alternate between normal behavior anomaly behavior, it is difficult to identify isolate them by system a short time, thus data transmission accuracy integrity function will be affected negatively. Based on characteristics IoT, lightweight local outlier factor detection method used node detection....
Concepts involved in long-form videos such as people, objects, and their interactions, can be viewed following an implicit prior. They are notably complex continue to pose challenges comprehensively learned. In recent years, generative pre-training (GPT) has exhibited versatile capacities modeling any kind of text content even visual locations. Can this manner work for learning video prior? Instead operating on pixel space, it is efficient employ locations like bounding boxes keypoints...
Purpose: To assess the failure modes and effects of clinical application breviscapine-based traditional Chinese medicine injection (TCMI). Methods: 229 reports on errors, medication errors or management measures relating to breviscapine were collected by searching various databases. A safety evaluation questionnaire was formulated for use in mode analysis (FMEA) injection. The survey then distributed 100 doctoral, nursing pharmaceutical personnel Xinxiang Central Hospital who randomly chosen...