A5101586767- SARS-CoV-2 and COVID-19 Research
- Animal Virus Infections Studies
- Topic Modeling
- Advanced Graph Neural Networks
- Adversarial Robustness in Machine Learning
- Monoclonal and Polyclonal Antibodies Research
- COVID-19 Impact on Reproduction
- Web Data Mining and Analysis
- Natural Language Processing Techniques
- COVID-19 Pandemic Impacts
- COVID-19 epidemiological studies
- Viral gastroenteritis research and epidemiology
- Toxic Organic Pollutants Impact
- Recommender Systems and Techniques
- Influenza Virus Research Studies
- Occupational Health and Safety Research
- Plant Ecology and Soil Science
- Advanced Technologies in Various Fields
- Reproductive Health and Contraception
- Indoor and Outdoor Localization Technologies
- Data-Driven Disease Surveillance
- Privacy-Preserving Technologies in Data
- Regulation and Compliance Studies
- Target Tracking and Data Fusion in Sensor Networks
- Evaluation Methods in Various Fields
Yancheng Institute of Technology
2023
Beijing Institute of Technology
2023
Anhui Polytechnic University
2020-2022
Sinai Health System
2021
CSIRO Manufacturing
2020-2021
Hangzhou Dianzi University
2019-2021
University of Toronto
2021
Sun Yat-sen University
2021
Wuhan University
2020
Renmin Hospital of Wuhan University
2020
Efforts to develop and deploy effective vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue at pace. Here, we describe rational antigen design through manufacturability vaccine efficacy of a prefusion-stabilised spike (S) protein, Sclamp, in combination with the licensed adjuvant MF59 'MF59C.1' (Seqirus, Parkville, Australia).A panel recombinant Sclamp proteins were produced Chinese hamster ovary screened vitro select lead candidate. The structure this was...
Environmental regulation is pivotal in mitigating environmental risks and promoting sustainable development, yet regulators frequently encounter resource constraints when inspecting enterprises. To address this limitation, we employed four sliding window-based machine learning techniques to enhance effective inspections. Utilizing feature-engineered time-series data of characteristic compliance records from 16,777 chemical enterprises Jiangsu between 2010 2021, the models were used establish...
In the past decade, digitization of information has led to a data explosion in both volume and complexity. While traditional computing frameworks have failed provide adequate power for now common data-intensive tasks, cloud provides an effective alternative enhance power. Machine learning algorithms are powerful analytical methods that allow machines recognize patterns facilitate human learning. However, performance individual machine within each framework remains largely unknown....
Abstract Efforts to develop and deploy effective vaccines against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continue at pace with more than 30 candidate now in clinical evaluation. Here we describe the preclinical development of an adjuvanted, prefusion-stabilised Spike (S) protein “Sclamp” subunit vaccine, from rational antigen design through assessing manufacturability vaccine efficacy. In mice, elicits high levels neutralising antibodies epitopes both within outside...
e21075 Background: Necitumumab, cetuximab and panitumumab are monoclonal antibodies specific for human epidermal growth factor receptor (EGFR). They act as functional antagonists by blocking ligand binding (EGF TGFa) to EGFR inhibit activation downstream signaling in tumor cells. Necitumumab IgG1 molecules is an IgG2 molecule. Methods: In the present study, we analyzed of all three EGFR, Fc receptors C1q. We also examined ability elicit antibody-dependent cellular cytotoxicity (ADCC) vitro...
Reclaimed water is becoming one of the most important resources for irrigation, especially in arid and semi‐arid areas. However, whether organic compounds will pollute soil groundwater or not under condition long‐term has become a matter great concern. Soil samples 3 boreholes at depths 0–5.5 m were collected from reclaimed irrigation area Beijing Southeast suburb. 16 EPA priority polycyclic aromatic hydrocarbons (PAHs) analyzed using gas chromatography mass spectrometry (GC‐MS). The results...
With the large-scale outbreak of COVID-19 epidemic in 2020, scientists and medical workers around world made contributions to reducing outbreak, curing patients, developing vaccines against epidemic. In response various countries, many scholars have used machine learning infectious disease dynamics models make corresponding predictions for subsequent development order acquire a more accurate forecast global epidemic, this paper ARIMA model, Logistic SIR improved SEIR model predictions....
e13023 Background: Cetux, Pan and Neci are monoclonal antibodies (mAb) against the human EGFR. Hypersensitivity reactions (HSR) to Cetux have been linked preexisting anti-α-Gal IgE, suggesting that IgE reactivity biologics may predict HSR. This study evaluated levels of α-Gal N-glycolyl neuraminic acid (NGNA) expressed by Neci, assessed three mAb with normal serum IgE. Methods: To evaluate NGNA N-linked oligosaccharides were released PNGase F from analyzed NP-HPLC MALDI-TOF mass...
Abstract In this paper, based on the data of Riiid education platform, LSTM deep learning model is used to provide accurate prediction and guidance for management colleges universities. The Gini coefficient also introduced simplify calculation process, focusing predicting development students’ careers. To achieve goal, online platform provided a dataset that was carefully pre-processed cleaned data, feature engineering performed obtain more informative features. Comparing AUC value offline...
Tourism involves comprehensive knowledge in many fields, such as geography, history, food, experience, etc., but now the result of retrieval and query tourism topic is usually a single field, lacking effective correlation different domains. Knowledge graph uses structured way or visualization technology to describe entity relationship knowledge, provides high-quality service for search engine users. However, it difficult integrate field obtained from variety data sources construct domain...
As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range tasks, including document understanding, information retrieval and peer-reviewer assignment. Despite its tremendous popularity, security LDA rarely studied. This poses severe risks to security-critical tasks such as sentiment analysis assignment that are based on LDA. In this paper, we interested knowing whether models vulnerable adversarial perturbations benign examples during inference...
Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Xiao Zhong, Peide Sun, Yingqi Song, Ruyi Wang, Zhiguo Fang; The application of Biological‐Hydraulic coupled model for Tubificidae‐microorganism interaction system. AIP Conf. Proc. 24 November 2010; 1251 (1): 133–136. https://doi.org/10.1063/1.3529257 Download citation file: Ris (Zotero) Reference Manager...
Efforts to develop and deploy effective vaccines against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continue at pace. Here we describe rational antigen design through manufacturability vaccine efficacy, of a prefusion-stabilised Spike (S) protein, Sclamp. This strategy uses an orthogonal stabilisation approach compared canonical vaccines, in combination with the licensed adjuvant MF59 (Seqirus). In mice, Sclamp elicits high levels neutralising antibodies, as well broadly...
As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range tasks, including document understanding, information retrieval and peer-reviewer assignment. Despite its tremendous popularity, security LDA rarely studied. This poses severe risks to security-critical tasks such as sentiment analysis assignment that are based on LDA. In this paper, we interested knowing whether models vulnerable adversarial perturbations benign examples during inference...