A5100779977- COVID-19 epidemiological studies
- High-Energy Particle Collisions Research
- Sparse and Compressive Sensing Techniques
- Data-Driven Disease Surveillance
- Model Reduction and Neural Networks
- Quantum Chromodynamics and Particle Interactions
- Pulsars and Gravitational Waves Research
- Stochastic Gradient Optimization Techniques
- Particle physics theoretical and experimental studies
- Impact of Technology on Adolescents
- Frailty in Older Adults
- Functional Brain Connectivity Studies
- Privacy-Preserving Technologies in Data
- Quantum many-body systems
- Geophysics and Gravity Measurements
- Mental Health Research Topics
- Quantum, superfluid, helium dynamics
- Terahertz technology and applications
- Complex Network Analysis Techniques
- Photoacoustic and Ultrasonic Imaging
- Surface Modification and Superhydrophobicity
- Advanced Sensor and Energy Harvesting Materials
- Advanced X-ray Imaging Techniques
- Anomaly Detection Techniques and Applications
- Evacuation and Crowd Dynamics
RIKEN
2025
University of Electronic Science and Technology of China
2022-2025
Children's Hospital of Fudan University
2019-2025
Shenzhen University
2025
Frankfurt Institute for Advanced Studies
2020-2024
Chengdu University of Traditional Chinese Medicine
2022-2024
Shanxi Medical University
2024
Central South University
2022-2024
Shenyang University of Technology
2024
Binzhou University
2024
<h3>Importance</h3> Stroke is the leading cause of death in China. However, recent data about up-to-date stroke burden China are limited. <h3>Objective</h3> To investigate urban-rural disparity Chinese adult population, including prevalence, incidence, and mortality rate, disparities between urban rural populations. <h3>Design, Setting, Participants</h3> This cross-sectional study was based on a nationally representative survey that included 676 394 participants aged 40 years older. It...
Objective: To analyze the epidemiological history, clinical manifestations, treatment and short-term prognosis of 31 cases 2019 novel coronavirus (2019-nCoV) infection in children from six provinces (autonomous region) northern China. Methods: A retrospective analysis symptoms, signs, laboratory examinations, chest imaging, 2019-nCoV was conducted. The patients were diagnosed between January 25th, 2020 February 21st, 21 hospitals 17 cities Shaanxi, Gansu, Ningxia, Hebei, Henan Shandong....
Short-term probabilistic forecasts of the trajectory COVID-19 pandemic in United States have served as a visible and important communication channel between scientific modeling community both general public decision-makers. Forecasting models provide specific, quantitative, evaluable predictions that inform short-term decisions such healthcare staffing needs, school closures, allocation medical supplies. Starting April 2020, US Forecast Hub ( https://covid19forecasthub.org/ ) collected,...
Superwettable patterned composite surfaces are being recognized as essential components in the field of precise droplet manipulation. However, developing simple and effective methods for manufacturing such remains a challenge especially multi-detection surfaces. Here we present femtosecond laser-based method to create superhydrophobic/superhydrophilic (SHB/SHL) self-splitting pattern on polyimide film achieve multi-detection. The mechanism behind SHB/SHL surface is related dynamic behaviors...
Abstract Although Internet games have been proven to be addictive, only a few game players develop online gaming addiction. A large number of play recreationally without being addicted it. These individuals are defined as recreational users (RGU). So far, no research has investigated decision‐making and impulse control in RGU. In the current study, we used delay discounting (DD) task probabilistic (PD) examine 20 healthy controls, subjects with disorder (IGD) 23 RGU during fMRI scanning. At...
Recent effort to test deep learning systems has produced an intuitive and compelling criterion called neuron coverage (NC), which resembles the notion of traditional code coverage. NC measures proportion neurons activated in a neural network it is implicitly assumed that increasing improves quality suite. In attempt automatically generate suite increases NC, we design novel diversity promoting regularizer can be plugged into existing adversarial attack algorithms. We then assess whether such...
More males than females play video games and develop problems with gaming. However, little is known regarding how who game on the Internet may differ respect to neural responses gaming cues. Behavioral functional magnetic resonance imaging (fMRI) data were recorded from 40 female 68 male gamers. This study included three components including participation in a pre-gaming cue-craving task, 30 min of online post-gaming cue-elicited-craving task. Group differences examined at pre-gaming, post-...
Abstract We propose a new epidemic model (SuEIR) for forecasting the spread of COVID-19, including numbers confirmed and fatality cases at national state levels in United States. Specifically, SuEIR is variant SEIR by taking into account untested/unreported trained machine learning algorithms based on reported historical data. Besides providing basic projections cases, proposed also able to predict peak date active estimate reproduction number ( ). In particular, forecasts our suggest that...
Abstract Stroke is a lethal cerebral disease with severe sequelae and high mortality. Microglia, the main immune cell in cerebrum, possess therapeutic potential for strokes as its specific anti‐inflammatory phenotype can reduce inflammation promote neuron regeneration. However, on‐demand polarization of microglia at stroke site uncontrollable application. Here, we develop platelet hybrid platform which specifically polarize to by ultrasound irradiation targeted cerebrum repair after stroke....
Longxuetongluo Capsule (LTC) is wildly applied to treat ischemic stroke in clinical practice China. However, the pharmacological mechanism of LTC on still unstated. Our research was designed study protective effect against cerebral ischemia–reperfusion (I/R) injury and reveal underlying both vivo vitro. PC12 cells treated with glucose deprivation/reperfusion (OGD/R) were used simulate vitro ischemia/reperfusion injury. The cell viability, apoptosis rate, protein expressions evaluated. In...
Infrared (IR) thermal imaging has aroused great interest due to its wide application in medical, scientific, and military fields. Most reported approaches for regulating radiation are aimed realize IR camouflage not applicable enhance imaging. Here, we introduce a simple effective method process porous glass by femtosecond laser scanning, where distributed nanocavities nanowires were produced, which caused improvement of the treated emissivity. The as-prepared sample possessed better...
The Equation of State (EoS) strongly interacting cold and hot ultra-dense QCD matter remains a major challenge in the field nuclear astrophysics. With advancements measurements neutron star masses, radii, tidal deformabilities, from electromagnetic gravitational wave observations, stars play an important role constraining EoS. In this work, we present novel method that exploits deep learning techniques to reconstruct EoS mass-radius (M-R) observations. We employ neural networks (NNs)...
Neutron star observables like masses, radii, and tidal deformability are direct probes to the dense matter equation of state~(EoS). A novel deep learning method that optimizes an EoS in automatic differentiation framework solving inverse problems is presented. The trained neural network yields narrow bands for relationship between pressure speed sound as a function mass density. results consistent with those obtained from conventional approaches observational bound on inferred gravitational...
During the COVID-19 pandemic, forecasting trends to support planning and response was a priority for scientists decision makers alike. In United States, coordinated by large group of universities, companies, government entities led Centers Disease Control Prevention US Forecast Hub ( https://covid19forecasthub.org ). We evaluated approximately 9.7 million forecasts weekly state-level cases predictions 1–4 weeks into future submitted 24 teams from August 2020 December 2021. assessed coverage...
In this study, we develop a deep learning method to learn hadronic interactions unsupervisedly from the correlation functions calculated in lattice QCD simulations. We present our approach of using neural networks model inter-hadron potentials that are learned Nambu-Bethe-Salpeter (NBS) wave functions. This enables incorporation most general forms into Schrodinger-type equation for detailed analysis interactions. Our results include validations with separable potentials, as well local and...
Abstract To analyse how diffusion models learn correlations beyond Gaussian ones, we study the behaviour of higher-order cumulants, or connected n-point functions, under both forward and backward process. We derive explicit expressions for moment- cumulant-generating functionals, in terms distribution initial data properties It is shown analytically that during process cumulants are conserved without a drift, such as variance-expanding scheme, therefore endpoint maintains nontrivial...