- Immunotherapy and Immune Responses
- vaccines and immunoinformatics approaches
- Topic Modeling
- CAR-T cell therapy research
- Natural Language Processing Techniques
- Reinforcement Learning in Robotics
- SARS-CoV-2 and COVID-19 Research
- Multimodal Machine Learning Applications
- Vibration and Dynamic Analysis
- Composite Structure Analysis and Optimization
- Musculoskeletal pain and rehabilitation
- Railway Engineering and Dynamics
- Cancer Immunotherapy and Biomarkers
- Influenza Virus Research Studies
- Wastewater Treatment and Nitrogen Removal
- Foot and Ankle Surgery
- Domain Adaptation and Few-Shot Learning
- Lower Extremity Biomechanics and Pathologies
- Image Processing Techniques and Applications
- MicroRNA in disease regulation
- Mobile Crowdsensing and Crowdsourcing
- COVID-19 Clinical Research Studies
- Reproductive System and Pregnancy
- Machine Learning and Data Classification
- Animal Virus Infections Studies
Shanghai University of Medicine and Health Sciences
2023-2025
China University of Geosciences (Beijing)
2024-2025
Second Affiliated Hospital of Hunan University of Traditional Chinese Medicine
2024
Harbin Institute of Technology
2022-2024
Tongji University
2024
Changzhou No.2 People's Hospital
2023-2024
Nanjing Medical University
2023-2024
Nanjing Agricultural University
2022-2024
University of Hong Kong
2021-2024
Shanghai University of Sport
2022-2024
Abstract Current available vaccines for COVID-19 are effective in reducing severe diseases and deaths caused by SARS-CoV-2 infection but less optimal preventing infection. Next-generation which able to induce mucosal immunity the upper respiratory prevent or reduce infections highly transmissible variants of urgently needed. We have developed an intranasal vaccine candidate based on a live attenuated influenza virus (LAIV) with deleted NS1 gene that encodes cell surface expression...
Abstract Background The widespread popularity of porcine circovirus type 2(PCV2) has seriously affected the healthy development pig industry and caused huge economic losses worldwide. A rapid reliable method is required for epidemiological investigation evaluating effect immunization. However, current methods PCV2 antibody detection are time-consuming or very expensive rarely meet requirements clinical application. we have constructed platform expressing nanobody(Nb)‑horseradish...
SARS-CoV-2 is of zoonotic origin and contains a PRRA polybasic cleavage motif which considered critical for efficient infection transmission in humans. We previously reported on panel attenuated variants with deletions at the S1/S2 junction spike protein. Here, we characterize pathogenicity, immunogenicity, protective ability further cell-adapted variant, Ca-DelMut, vitro vivo systems. Ca-DelMut replicates more efficiently than wild type or parental virus Vero E6 cells, but causes no...
Cu-Cr-Nb alloys have attracted many researchers’ interest for decades while their structure and second phases inside were unclear. We characterized the phase particles formed during solidification, hot rolling, aging treatments in a Cu-4.06Cr-1.25Nb alloy. Face-centered-cubic (FCC) Cr, L12 Cr3Cu, C14 Cr2Nb, C15 Nb-rich detected The crystal structure, precipitation, transformation behavior orientation relationship (OR) uncovered. Cr2Nb solidification process precipitated as aged at 600 °C....
Although smoking is a known potential contributor to back pain, there still lack of quantitative studies on the effects different doses pain (BP) occurrence, including longitudinal cohorts. To address this gap, we aimed investigate association between various smoking-related exposures and incidence advance global efforts toward cessation guide primary prevention BP.In prospective cohort study, retrieved data 438 510 patients from UK Biobank who were free recruited in 2006-2010, followed them...
Moderate-sized large language models (LLMs) -- those with 7B or 13B parameters exhibit promising machine translation (MT) performance. However, even the top-performing LLM-based models, like ALMA, does not match performance of state-of-the-art conventional encoder-decoder larger-scale LLMs such as GPT-4. In this study, we bridge gap. We first assess shortcomings supervised fine-tuning for in MT task, emphasizing quality issues present reference data, despite being human-generated. Then,...
Federated Learning (FL) suffers from severe performance degradation due to the data heterogeneity among clients. Existing works reveal that fundamental reason is can cause client drift where local model update deviates global one, and thus they usually tackle this problem perspective of calibrating obtained update. Despite effectiveness, existing methods substantially lack a deep understanding how heterogeneous samples contribute formation drift. In paper, we bridge gap by identifying be...
Aiming at the problem of poor part recognition due to mutual occlusion between parts and influence different postures in assembly scene, we propose an improved Mask R-CNN-based method for complex scenes. Firstly, ResNet101 network is used enhance feature extraction capability improve effect; secondly, normalization layer backbone replaced reduce effect batch size on model; lastly, pyramid structure transfer efficiency high low layers network, capture; through experiments homemade dataset,...
Background Women are more likely to fall or even die when the ladder falls, which seriously affects quality of daily life. It is necessary better understand plantar mechanism falls and put forward reasonable suggestions. Method Twenty healthy young women volunteered participate in experiment. The study used F-scan pressure explore difference dominance leading foot across four step descent height conditions. landing strategy employed was recorded during Center Pressure (COP), along with its...
To address the issue of curtailment in wind and photovoltaic power due to high penetration distributed renewable energy sources multi-partition distribution networks, enhance operational efficiency voltage quality, a day-ahead intra-day scheduling strategy based on Phase Shifting Transformer (PST) loop-closing device is proposed. The model aims maximize benefits from operations by incorporating errors new load forecasts. Robust optimization techniques are employed solve this model, resulting...
The phenomenon of rural-origin university students expressing nostalgia and sharing it through online platforms has become a growing behavior amid rapid globalization urbanization. This study aims to explore the factors influencing this its impact on social psychological identity these students. A total 32 were selected as informants for semi-structured interviews lasting between 20 50 minutes. data collected analyzed using Nvivo14 software three stages coding: open coding, principal axis...
Abstract Frequent occurrences of wellhead sinking highlight the inadequacy cement's supporting force for casing, which results in debonding casing-cement interface. This interface leads to failure integrity and poses a substantial risk overall safety wellhead. To ensure safety, model has been established utilizing peridynamic (PD) method non-local action, aiming quantify bonding at The numerical align remarkably with load-displacement curves from laboratory tests, validating effectiveness...
In order to accurately simulate the transient mechanical response of a bulletproof helmet when impacted by bullet, this study employed numerical simulation bullet infiltration while wearing based on composite multiscale analysis. The stress-strain curves UHMWPE fiber bundles were obtained through tests, and material properties macroscopically homogenised unidirectional layer derived progressive analysis materials. A 3D-Hashin damage ontology model was developed for simulating ballistic...