- Artificial Intelligence in Healthcare and Education
- Ethics and Social Impacts of AI
- Topic Modeling
- Blockchain Technology Applications and Security
- Space Science and Extraterrestrial Life
- Optical Systems and Laser Technology
- Trace Elements in Health
- RNA modifications and cancer
- COVID-19 diagnosis using AI
- Autophagy in Disease and Therapy
- Fatty Acid Research and Health
- Qualitative Comparative Analysis Research
- International Relations and Foreign Policy
- Economic Development and Digital Transformation
- Political Conflict and Governance
- Atmospheric Ozone and Climate
- Folate and B Vitamins Research
- Natural Language Processing Techniques
- Quantum Chromodynamics and Particle Interactions
- Molecular Spectroscopy and Structure
- Advanced X-ray and CT Imaging
- Eating Disorders and Behaviors
- Infectious Encephalopathies and Encephalitis
- AI in Service Interactions
- Viral Infections and Immunology Research
Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University
2023-2025
Wenzhou Medical University
2023-2025
Harbin Institute of Technology
2024
East China University of Political Science and Law
2009-2024
University of Waterloo
2005
Preparation requires technical research and development, as well adaptive, proactive governance
Large Language Models (LLMs) have drastically reshaped our interactions with artificial intelligence (AI) systems, showcasing impressive performance across an extensive array of tasks. Despite this, a notable hindrance remains—the deficiency long-term memory mechanism within these models. This shortfall becomes increasingly evident in situations demanding sustained interaction, such as personal companion psychological counseling, and secretarial assistance. Recognizing the necessity for...
Artificial Intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act pursue goals. Increases in capabilities autonomy may soon massively amplify AI's impact, with risks include large-scale social harms, malicious uses, an irreversible loss of human control over autonomous systems. Although researchers have warned extreme from AI, there a lack consensus about how exactly such arise, manage them. Society's...
Ginseng is frequently used in traditional Chinese medicine to treat neurological disorders. The primary active component of ginseng ginsenoside, which has been classified into more than 110 types based on their chemical structures. Ginsenoside Rb1 (GsRb1)—a protopanaxadiol saponin and a typical component—exhibits anti-inflammatory, anti-oxidant, anti-apoptotic, anti-autophagy properties the nervous system. Neurological disorders remain leading cause death disability globally. GsRb1...
Revolutionary advancements in Large Language Models have drastically reshaped our interactions with artificial intelligence systems. Despite this, a notable hindrance remains-the deficiency of long-term memory mechanism within these models. This shortfall becomes increasingly evident situations demanding sustained interaction, such as personal companion systems and psychological counseling. Therefore, we propose MemoryBank, novel tailored for LLMs. MemoryBank enables the models to summon...
To enhance focused eating and dining socialization, previous Human-Food Interaction research has indicated that external devices can support these objectives immersion. However, methods focus on the food itself diners themselves have remained underdeveloped. In this study, we integrated biofeedback with food, utilizing diners' heart rates as a source of food's appearance to promote socialization. By employing LED lights, dynamically displayed real-time physiological signals through...
Equilibrium structures and the respective binding energies of acetic acid monohydrates dihydrates have been determined by density-functional theory calculations with different basis sets, including 6-31+G(3d,p), 6-311++G(d,p), 6-311++G(3df,3pd). Given that C=O OH groups in provide predominant hydrogen-bonding interactions water, six stable conformer found each for monohydrate syn-dihydrate. Of three syn- anti-conformers most structure is to be syn-conformer bonding water a cyclic double...
Objective Acute Necrotizing Encephalopathy of Childhood (ANEC) is a rare, fulminant neurological disease in children with unknown mechanisms and etiology. This study summarized the clinical characteristics, treatment, prognosis ANEC through retrospective analysis, providing insights into early diagnosis assessment. Methods Clinical data diagnosed at Second Affiliated Hospital Yuying Children’s Wenzhou Medical University from July 1, 2020, to June 30, 2023, were retrospectively analyzed....
Neonatal hypoxic-ischemic encephalopathy (HIE) is a severe disease with poor prognosis, whose clinical treatment still limited to therapeutic hypothermia efficacy. Perillyl alcohol (POH), natural monoterpene found in various plant essential oils, has shown neuroprotective properties, though its effects on HIE are not well understood. This study investigates the of POH both vitro and vivo. We established an model using glucose deprivation hypoxia/reperfusion (OGD/R) PC12 cells, alongside vivo...
In an analysis of a 2.92~fb$^{-1}$ data sample taken at 3.773~GeV with the BESIII detector operated BEPCII collider, we measure absolute decay branching fractions to be $\mathcal B(D^0 \to K^-e^+ν_e)=(3.505\pm 0.014 \pm 0.033)\%$ and π^-e^+ν_e)=(0.295\pm 0.004\pm 0.003)\%$. From study differential rates obtain products hadronic form factor magnitude CKM matrix element $f_{+}^K(0)|V_{cs}|=0.7172\pm0.0025\pm 0.0035$ $f_{+}^π(0)|V_{cd}|=0.1435\pm0.0018\pm 0.0009$. Combining these values...
Abstract What drove the East Asian tide of democratization during “Third Wave?” Instead focusing on a single-factor explanation, we perform qualitative comparative analysis (QCA) fourteen cases in region Asia from 1980 to 2000 and find three parallel pathways: (1) overthrow model, which features positive effects mass mobilization against authoritarianism under deinstitutionalized authoritarian regime; (2) urban pressure model that works an institutionalized (3) inside-out is triggered by...
Backpropagation neural networks (BPNNs) can be used to restore images; however, the error surface of BPNN algorithm contains several extrema, making it easy slip into a locally optimal solution. A genetic (GA) with strong global searchability optimize initial weight and threshold BPNNs. However, traditional GAs are prone local convergence stagnation; hence, we propose hybrid GA. First, GA introduces an elite opposition-based learning strategy increase population diversity avoid premature...