A5075068668- Mental Health Research Topics
- Traditional Chinese Medicine Studies
- Inhalation and Respiratory Drug Delivery
- SARS-CoV-2 and COVID-19 Research
- Biochemical effects in animals
- COVID-19 Clinical Research Studies
- Sleep and related disorders
- Pharmacological Effects of Natural Compounds
- Imbalanced Data Classification Techniques
- Ginseng Biological Effects and Applications
- Sleep and Wakefulness Research
- Sleep and Work-Related Fatigue
- Cytokine Signaling Pathways and Interactions
- Distributed and Parallel Computing Systems
- Software Engineering Research
- Functional Brain Connectivity Studies
- Pregnancy and Medication Impact
- Folate and B Vitamins Research
- Statistical and Computational Modeling
- Iron Metabolism and Disorders
- Computational Drug Discovery Methods
- Ziziphus Jujuba Studies and Applications
- Robotics and Automated Systems
- Tryptophan and brain disorders
- Metabolomics and Mass Spectrometry Studies
Hubei University of Chinese Medicine
2010-2022
Nanjing Medical University
2014
Hangzhou First People's Hospital
2014
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as preliminary step, demonstrates remarkable capabilities. Through RL, naturally emerges with numerous powerful intriguing behaviors. However, it encounters challenges such poor readability, language mixing. To address these issues further enhance performance, we DeepSeek-R1, which incorporates...
We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2. Furthermore, pioneers an auxiliary-loss-free strategy load balancing sets multi-token prediction training objective stronger performance. pre-train on 14.8 trillion diverse...
Many of the currently available COVID-19 vaccines and therapeutics are not effective against newly emerged SARS-CoV-2 variants. Here, we developed metallo-enzyme domain angiotensin converting enzyme 2 (ACE2)-the cellular receptor SARS-CoV-2-into an IgM-like inhalable molecule (HH-120). HH-120 binds to Spike (S) protein with high avidity confers potent broad-spectrum neutralization activity all known variants concern. was as inhaled formulation that achieves appropriate aerodynamic properties...
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Recent research in machine-learning techniques has led to significant progress various fields. In particular, knowledge discovery using this method become a hot topic traditional Chinese medicine. As the key clinical manifestations of patients, symptoms play role diagnosis and treatment, which evidently have their underlying medicine mechanisms.We aimed explore core potential regularity for diagnosing insomnia reveal symptoms, hidden relationships corresponding syndromes.An dataset with 807...
In the recent decade, clinical data mining in Traditional Chinese Medicine (TCM) based on complex networks has been becoming a hot topic. this paper, we construct "Symptom-Prescription" bipartite network insomnia, which can intuitively reflect relationship between prescriptions and symptoms insomnia. And then, through projection of network, "symptom" is generated. Based idea node centrality introduced to identify core symptom nodes, disclose key factors diagnosis treatment. Furthermore,...
Wu-Mei-Wan (WMW), a traditional Chinese medicine (TCM) formula, has good effect on the treatment of obesity and been proven helpful to promote metabolism adipose tissue. However, its underlying mechanism remains be studied. This study aims explore potential pharmacological WMW in obesity.Network pharmacology was used sort out relationship between putative targets obesity-related drug or disease targets, which indicated treating from two aspects clinical drugs approved by Food Drug...
Abstract Many of the currently available COVID-19 vaccines and therapeutics are not effective against newly emerged SARS-CoV-2 variants. Here, we developed metallo-enzyme domain angiotensin converting enzyme 2 (ACE2)—the cellular receptor SARS-CoV-2—into an IgM-like inhalable molecule (HH-120). HH-120 binds to Spike (S) protein with exceptionally high avidity confers potent broad-spectrum neutralization activity all known variants concern. was successfully as inhaled formulation that...
Recent research in machine learning has led to significant progress various fields. Especially, the knowledge discovery using this method Traditional Chinese Medicine (TCM) been becoming a hot topic. In paper, we studied on herb compatibility rule of insomnia some approaches. We have extracted data set with 807 samples from real-world Electronic Medical Records (EMRs). After cleaning and selecting theme referring prescriptions their herbs, constructed network analysis model theory complex...
Objective To observe the effects of wild jujube seed decoction(WJSD) on ultrastructure and astrocytes expression in brain cortex old model rats with blood-deficiency Yin sleep deprivation(SD)after SD. Methods Ultrastructural changes cortical parts experiment rat were observed by transmission electron microscopy , immunohistochemical staining was used to detect star-shaped glial cells marker-glial fibrillary acidic protein(GFAP) after SD induced made-self multiple platform method (MMPM),...
<sec> <title>BACKGROUND</title> Recent research in machine-learning techniques has led to significant progress various fields. In particular, knowledge discovery using this method become a hot topic traditional Chinese medicine. As the key clinical manifestations of patients, symptoms play role diagnosis and treatment, which evidently have their underlying medicine mechanisms. </sec> <title>OBJECTIVE</title> We aimed explore core potential regularity for diagnosing insomnia reveal symptoms,...