A5102001776- Spectroscopy and Chemometric Analyses
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Monoclonal and Polyclonal Antibodies Research
- Plant Pathogenic Bacteria Studies
- Plant-Microbe Interactions and Immunity
- CAR-T cell therapy research
- Water Quality Monitoring and Analysis
- vaccines and immunoinformatics approaches
- Virus-based gene therapy research
- Advanced Chemical Sensor Technologies
- GABA and Rice Research
- Tactile and Sensory Interactions
- Cancer Research and Treatments
- Plant Pathogens and Fungal Diseases
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Graph Neural Networks
- Mechanical stress and fatigue analysis
- Music and Audio Processing
- Structural Analysis and Optimization
- Context-Aware Activity Recognition Systems
- Granular flow and fluidized beds
- Transgenic Plants and Applications
- Muscle activation and electromyography studies
- Energy Efficient Wireless Sensor Networks
Northwest A&F University
2024
Heilongjiang University
2023-2024
Shanghai University
2024
Heilongjiang University of Technology
2024
Chongqing Vocational Institute of Engineering
2023
Nankai University
2020-2023
Zodiac Aerospace (United Kingdom)
2023
Institute of Process Engineering
2020
University of Chinese Academy of Sciences
2020
Huaqiao University
2019
Microfluidics system enables high-throughput functional screening of antibodies for cancer immunotherapy.
Rationale: The resistance of pancreatic ductal adenocarcinoma (PDAC) to immunotherapies is caused by the immunosuppressive tumor microenvironment (TME) and dense extracellular matrix. Currently, efficacy an isolated strategy targeting stromal desmoplasia or immune cells has been met with limited success in treatment cancer. Oncolytic virus (OV) therapy can remodel TME damage either directly killing them enhancing anti-tumor response, which holds promise for PDAC. This study aimed investigate...
The full potential of tumor-infiltrating lymphocyte (TIL) therapy has been hampered by the inadequate activation and low persistence TILs, as well inefficient neoantigen presentation tumors. We transformed tumor cells into artificial antigen-presenting (aAPCs) infecting them with a herpes simplex virus 1 (HSV-1)-based oncolytic encoding OX40L IL12 (OV-OX40L/IL12) to provide local signals for optimum T cell activation. infected displayed increased expression cell-related markers induced...
The ongoing Coronavirus Disease 2019 (COVID-19) pandemic caused by Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) threatens global public health and economy unprecedentedly, requiring accelerating development of prophylactic therapeutic interventions. Molecular understanding neutralizing antibodies (NAbs) would greatly help advance the monoclonal antibody (mAb) therapy, as well design next generation recombinant vaccines. Here, we applied H2L2 transgenic mice encoding human immunoglobulin...
Fc engineering has become the focus of antibody drug development. The current mutagenesis and
Modern societies are becoming increasingly reliance on inter-connected digital systems. Despite numerous benefits, it is important to overcome existing security problems in a highly system, like Sensor-Cloud the product of integration wireless sensor networks and cloud computing. However, when physical node receives multiple service commands simultaneously, there will be some collisions, namely, coupling problem. This problem may lead failure sustainable services system threat. In order...
Abstract Stuck pipe remains as one of the major risks in drilling operation that could cause significant non-productive time (NPT). The earlier stuck risk is predicted and mitigated, higher chance preventing its occurrence first place. In this study, a new model was proposed using random forest (RF) algorithm together with sliding window technique to quickly detect symptoms potential pipe, by capturing hidden pattern trends certain real-time parameters (hook load, Torque, standpipe pressure...
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Graph Convolutional Networks (GCNs) are widely used in graph-based applications, such as social networks and recommendation systems. Nevertheless, large-scale graphs or deep aggregation layers full-batch GCNs consume significant GPU memory, causing out of memory (OOM) errors on mainstream GPUs (e.g., 29GB consumption the Ogbnproducts graph with 5 layers). The subgraph sampling methods reduce to achieve lightweight by partitioning into multiple subgraphs sequentially training each subgraph....
Abstract The pandemic Coronavirus Disease 2019 (COVID-19) causes noticeable morbidity and mortality worldwide. In addition to vaccine antiviral drug therapy, the use of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) neutralizing antibodies for treatment purposes is a viable alternative. this study, we aimed profile humoral responses identify against SARS-CoV-2 using high-throughput single-cell sequencing that tailored B cell receptor sequencing. From two convalescent patients...
Abstract In this study, near infrared spectroscopy (NIRS) technique was used for quantitative detection of quaternary blended oil. After a series preprocessing, the prediction effects three models and their preprocessing combinations were compared. Taking soybean oil content as an example, random forest (RF) model had better performance after second derivative (D2) optimization. feature selection, two‐step selection method adopted to extract wavelength. First, elastic net (EN) initial...
In a world increasingly reliant on verbal communication with machines, this paper undertakes rigorous exploration of the application machine learning models in speech recognition within noisy environments. An important focus research lies demonstrating viability and robustness these when challenged by real-world noise interference. particular, utilization deep such as Convolutional Neural Networks (CNNs) Long Short-Term Memory (LSTMs) is thoroughly examined. Using concrete data case studies,...
Abstract The pandemic Coronavirus Disease 2019 (COVID-19) causes noticeable morbidity and mortality worldwide. In addition to vaccine antiviral drug therapy, the use of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) neutralizing antibodies for treatment purposes is a viable alternative. this study, we aimed profile humoral responses identify against SARS-CoV-2 using high-throughput single-cell sequencing that tailored B cell receptor sequencing. From two convalescent patients...
Abstract In the past few decades, target tracking algorithm has been paid great attention by peers at home and abroad in field of computer vision because its potential for in-depth research practical value. Typical applications algorithms include intelligent video surveillance, autonomous vehicles, human-computer interaction so on. Given initial state a object, task is to estimate subsequent video. Despite years efforts, designing still very challenging problem, it poses changes,...