A5054679049- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- Additive Manufacturing and 3D Printing Technologies
- 3D Shape Modeling and Analysis
- Influenza Virus Research Studies
- Hematopoietic Stem Cell Transplantation
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Pandemic Impacts
- Viral Infections and Outbreaks Research
- Acute Myeloid Leukemia Research
- Vaccine Coverage and Hesitancy
- Acute Lymphoblastic Leukemia research
- Advanced Proteomics Techniques and Applications
- Geographic Information Systems Studies
- Advanced Electrical Measurement Techniques
- Elasticity and Material Modeling
- Blood transfusion and management
- Ultrasonics and Acoustic Wave Propagation
- Electron and X-Ray Spectroscopy Techniques
- High Altitude and Hypoxia
- Advanced MRI Techniques and Applications
- Additive Manufacturing Materials and Processes
- Magnetic Field Sensors Techniques
Kunming Children's Hospital
2025
National Renewable Energy Laboratory
2024
University of Southern California
2020-2024
Southern California University for Professional Studies
2024
Nanjing Second Hospital
2024
Ningbo Center for Disease Control and Prevention
2023
Peking University People's Hospital
2022
Peking University
2022
Harbin Institute of Technology
2018-2021
The 3-D shape accuracy is a critical performance measure for products built via additive manufacturing (AM). With advances in computing and increased accessibility of AM product data, machine learning (ML4AM) has become viable strategy enhancing printing performance. A proper description the formation through layer-by-layer fabrication process to ML4AM, such as feature selection modeling. physics-based modeling simulation approaches present voxel-level an object from points lines, lines...
Co-fractionation mass spectrometry (CF-MS) enables large-scale profiling of endogenous protein-protein interactions. Protein complexes identified by CF-MS using different databases are typically integrated. However, this integration uses varying cutoffs, leading to inconsistencies in protein complex identification. Here, we present ProteoAutoNet, a robotic experimental platform integrating multi-database search strategy into machine learning models, for high-throughput analysis. This...
To summarize and analyze the characteristics of delayed hemolytic transfusion reaction in children, order to provide a scientific basis for clinical prevention, ensure safety children's blood transfusion. The basic situation, symptoms signs, diagnosis time disappearance alloantibody children were retrospectively analyzed. serological test, routine biochemical detection urine analysis results compared pre- post-transfusion. Among 15 164 with repeated transfusion, 23 cases occurred reactions,...
Abstract One major impediment to wider adoption of additive manufacturing (AM) is the presence larger-than-expected shape deviations between an actual print and intended design. Since large deviations/deformations lead costly scrap rework, effective learning from previous prints critical improve build accuracy new products for cost reduction. However, be built often differ past, posing a significant challenge achieving efficacy. The fundamental issue how learn predictive model small set...
Abstract Human travel plays a crucial role in the spread of infectious disease between regions. Travel infected individuals from one region to another can transport virus places that were previously unaffected or may accelerate where is not yet well established. We develop and apply models metrics analyze inter-regional relative disease, drawing data on Covid-19 United States. To better understand how transportation affects transmission, we established multi-regional time-varying...
Objective: To analyze the epidemiological characteristics of reinfection 2019-nCoV and influencing factors, provide evidence for effective prevention control COVID-19 epidemic. Methods: The incidence data in Ningbo from January 1, 2020 to November 30, 2022 were collected infectious disease surveillance system Chinese information prevention. was investigated by using questionnaire. logistic regression analysis used influences gender, age, time interval first infection, history underlying...
<title>Abstract</title> During pandemics, such as COVID-19, supplies of vaccines can be insufficient to meet all needs, particularly when first become available. Our study develops a dynamic methodology for vaccine allo- cation, segmented by region, age, and timeframe, using time-sensitive, age-structured compartmental model. Based on the objective mini- mizing weighted sum deaths cases, we used Sequential Least Squares Quadratic Programming method search locally opti- mal COVID-19...
Human travel plays a crucial role in the spread of infectious disease between regions. Travel infected individuals from one region to another can transport virus places that were previously unaffected or may accelerate where is not yet well established. We develop and apply models metrics analyze inter-regional relative disease, drawing data on COVID-19 United States. To better understand how transportation affects transmission, we established multi-regional time-varying compartmental model...
During pandemics, such as COVID-19, supplies of vaccines can be insufficient for meeting all needs, particularly when first become available. Our study develops a dynamic methodology vaccine allocation, segmented by region, age, and timeframe, using time-sensitive, age-structured compartmental model. Based on the objective minimizing weighted sum deaths cases, we used Sequential Least Squares Quadratic Programming method to search locally optimal COVID-19 allocation United States, period...
Abstract In this paper, we propose an enhanced SEIRD (Susceptible-Exposed-Infectious-Recovered-Death) model with time varying case fatality and transmission rates for confirmed cases deaths from COVID-19. We show that when fatalities are represented by simple Sigmoid functions, historical can be fit a relative-root-mean-squared-error accuracy on the order of 2% most American states over period initial to July 28 (2020). find is accurate so far had not shown signs multiple waves disease (such...
Abstract With the development of smart power grids, electricity meters are widely applied to industrial production and life. For interests supply consumption parties, required have high quality, precision consistency. As temperatures vary considerably in south north China work complex temperature environments, studies on effects metering significant importance. In this paper, an optimization method considering is proposed for consistency meters. The optimized full range through means such as...
As the basic units of electronic systems, module is essential for normal operation system. The method to stimulate failure modules, locate weak parts and optimize concern both industry academia. Taking a power as an example, this paper provides new accurately modules improve design module, which helps find out exact point fault module. First, use high-acceleration vibration chamber, QualMark Typhoon 2.5, carry random test on recording output signal changes in real time, determine whether...
Objective: To investigate whether haplotype hematopoietic stem cell transplantation (haplo-HSCT) is effective in the treatment of pre transplant minimal residual disease (Pre-MRD) positive acute B lymphoblastic leukemia (B-ALL) compared with HLA- matched sibling donor (MSDT) . Methods: A total 998 patients B-ALL complete remission pre-HSCT who either received haplo-HSCT (n=788) or underwent MSDT (n=210) were retrospectively analyzed. The pre-transplantation burden was evaluated according to...
Abstract In this paper, we analyze the progression of COVID-19 in United States over a nearly one-year period beginning March 1, 2020, with novel metric representing partial-average day-of-event, where events are new cases and deaths. The is calculated as function date location to illustrate patterns disease, showing growing or waning metrics enable direct comparison time distribution deaths, revealing data coherence how varied period. We also compare different methods estimating actual...