A5049927309- Air Quality and Health Impacts
- Indoor Air Quality and Microbial Exposure
- Air Quality Monitoring and Forecasting
- Infection Control and Ventilation
- Advanced Chemical Sensor Technologies
- Peripheral Neuropathies and Disorders
- Atmospheric chemistry and aerosols
- Dental Research and COVID-19
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Inhalation and Respiratory Drug Delivery
- Biosensors and Analytical Detection
- SARS-CoV-2 detection and testing
- Electric Power System Optimization
- Noise Effects and Management
- Climate Change and Health Impacts
- Multiple Sclerosis Research Studies
- Power Systems Fault Detection
- Stroke Rehabilitation and Recovery
- Ophthalmology and Eye Disorders
- Human Mobility and Location-Based Analysis
- Neurobiology of Language and Bilingualism
- Magnetic properties of thin films
- Vehicle emissions and performance
- Anomaly Detection Techniques and Applications
University of California, Los Angeles
2022-2025
North China Electric Power University
2023-2025
Chongqing Three Gorges University
2025
Fuzhou University
2025
Guangzhou University of Chinese Medicine
2020-2024
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine
2024
Beijing Information Science & Technology University
2023-2024
Nanjing Normal University
2024
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2024
Xuzhou Medical College
2024
Abstract Coronavirus disease 2019 (COVID-19) patients exhaled millions of severe acute respiratory syndrome coronavirus 2 RNA copies per hour, which plays an important role in COVID-19 transmission. Exhaled breath had a higher positive rate (26.9%, n = 52) than surface (5.4%, 242) and air (3.8%, 26) samples.
Significance Many industrial applications often require, or would benefit greatly from, “smart” materials with complex viscoelastic properties. Traditional fail to adapt respond changing environmental conditions, limiting their use in many that require flow, injection spraying, are prepared from starting too expensive, poorly scalable, toxic people the environment. Here, we exploit biomimetic multivalent noncovalent interactions build fully scalable hydrogel properties renewable and...
Rapid screening of COVID-19 is key to controlling the pandemic. However, current nucleic acid amplification involves lengthy procedures in addition discomfort taking throat/nasal swabs. Here we describe potential breath-borne volatile organic compound (VOC) biomarkers together with machine learning that can be used for point-of-care COVID-19. Using a commercial gas chromatograph-ion mobility spectrometer, higher levels propanol were detected exhaled breath patients (N= 74) and non-COVID-19...
Here, we investigated the use of breath-borne volatile organic compounds (VOCs) for rapid monitoring air pollution health effects on humans. Forty-seven healthy college students were recruited, and their exhaled breath samples (n = 235) collected analyzed VOCs before, on, after two separate haze episodes using gas chromatography-ion mobility spectrometry (GC-IMS). Using a paired t-test machine learning model (Gradient Boosting Machine, GBM), six VOC species including propanol isoprene...
Antibiotic resistance genes (ARGs) have emerged as a global health concern. A large volume of work has already been devoted to ARGs in aquatic ecosystems. However, ARG dispersal patterns air remain be largely unknown despite its greater role transmission. This aims investigate time-resolved airborne spread and their corresponding subtype bacterial carriers highly polluted air. Time-resolved samples (20 m3 each with three samples) were collected using high sampler (1 m3/min) every 4 h...
Abstract Despite notable efforts in airborne SARS-CoV-2 detection, no clear evidence has emerged to show how is emitted into the environments. Here, 35 COVID-19 subjects were recruited; exhaled breath condensate (EBC), air samples and surface swabs collected analyzed for using reverse transcription-polymerase chain reaction (RT-PCR). EBC had highest positive rate (16.7%, n = 30), followed by swabs(5.4%, 242), (3.8%, 26). patients shown exhale SARSCoV-2 at an estimated of 10 3 -10 5 RNA...
PM2.5 pollution has become a global health concern, however its size-resolved impact remains to be poorly elucidated. Here, ambient particulate matter (PM) were collected into 13 different size ranges (10 nm 18 μm) and the mass, metal, endotoxin distributions, related oxidative potential investigated in two regions (Zürich, Switzerland Beijing, China). Results showed that had remarkably PM distribution patterns. Swiss urban samples mode around 40 with 23.3% of total while Chinese featured...
Bioaerosol particles, originated from many different earth ground sources, have unique health impacts, including respiratory infections, allergic reactions, and toxic effects. Here, we applied a portable high-flow sampler HighBioTrap to collect investigate bioaerosol emissions 13 land types (forest, wetland, lake, bare soil, cropland, wastewater treatment facility, street, livestock farm, smeltery garden) that are heavily or less affected by humans. Plate cultivation, real-time quantitative...
Abstract Rapid diagnosis of COVID-19 is key to controlling the pandemic. Here we report potential breath-borne volatile organic compound (VOC) biomarkers for COVID-19. Higher levels ethyl butanoate were detected in exhaled breath patients (N=10) than healthy controls/health care workers (N=21), lung cancer (LC) (N=7) and backgrounds. In contrast, butyraldehyde isopropanol (an efficient SARS-CoV-2 inactivation agent) significantly higher non-COVID-19 respiratory infections (URTI) (N=22)...
Abstract We investigated the ice nucleation activities of humic‐like substances (HULIS), an important component organic aerosol (OA), derived from atmospheric and biomass burning aerosols, produced aqueous‐phase chemical reactions. Respective HULIS can effectively trigger heterogeneous IN under mixed‐phase cloud conditions. active entities (IAE) were aggregates in size between 0.02 0.10 μm. At −20°C, IAE numbers per unit mass varied 213 to 8.7 × 10 4 mg −1 . Such results different than those...
Background Pain is a common symptom in multiple sclerosis (MS), especially neuropathic pain, which has significant impact on patients’ mental and physical health quality of life. However, risk factors that related to still remain unclear. Objective The study aimed explore the pain among MS patients. Materials methods This retrospective examined consecutive patients diagnosed with Department Neurology Guangdong Provincial Hospital Chinese Medicine between August 2011 October 2022. Neuropathic...
The ionic conductance in a charged nanopore exhibits power-law behavior low salinity—as has been verified many experiments (G0∝c0α)—which is governed by surface charges. charge inside determines the zeta potential and ion distributions, which have significant impact on transport, especially single-digit with leakage. However, precisely measuring density remains challenge. Here, we propose methodology for exploring variation of conductance, leakage taken into account. We conducted to measure...
With widespread adult-use cannabis legalization in the United States, consumption lounges have rapidly emerged. However, studies of indoor exposure are still lacking, particularly public spaces. We measured fine particle (PM2.5) mass concentrations and number at a lounge Los Angeles, California. compared street front, backyard, two smoking cabins identified three busyness levels to investigate concentration differences cabin. The results showed that PM2.5 cabin exceeded 1600 μg/m3. During...
Security checks are essential for ensuring the safe operation of regional power grid (RPG) and smooth functioning electricity spot market (ESM). Currently, China’s RPG operating environment encompasses a complex mix centralized ESM, decentralized planned generation. This complexity has led to increasingly severe congestion issues. To address this, this paper introduces security check mechanism design operational optimization approach tailored RPGs in markets, with focus on management....
The numerical representation of high-dimensional Gibbs distributions is challenging due to the curse dimensionality manifesting through intractable normalization constant calculations. This work addresses this challenge by performing a particle-based parametric density estimation subroutine, and input subroutine samples generated leveraging advanced sampling techniques. Specifically, generate samples, we employ ensemble-based annealed importance sampling, population-based approach for...
Discrete diffusion models have emerged as a powerful generative modeling framework for discrete data with successful applications spanning from text generation to image synthesis. However, their deployment faces challenges due the high dimensionality of state space, necessitating development efficient inference algorithms. Current approaches mainly fall into two categories: exact simulation and approximate methods such $\tau$-leaping. While suffer unpredictable time redundant function...
Building the regional electricity spot market (RESM) in a representative area is an important move to promote reform and new power system construction China. In this paper, RESM operation model optimization method are established, which take into account special grid mechanism achievements provincial market. Firstly, influencing factors, core elements, structure, of China analyzed. Secondly, bi-level established. The lower layer pre-clearing market, used optimize unit combination strategy,...
ABSTRACT This study explores the interplay between land and water productivity green energy in emerging economies' environmental degradation. Since COP27 COP28, they have paid more attention to appropriate management, food security, transition overcome global demand attain sustainable development without harming quality. Therefore, this research tends contribute ongoing on climatic changing factors group of economies, including India, Mexico, Russia, Pakistan, China, Brazil. The deals with...
Recent evidence shows that inhaled PM2.5 can enter the blood circulatory system and even brain. However, damage of blood-borne is not clearly elucidated. This work aims to understand characterize toxicity, i.e., acute health effects, directly injected into system. Rats were with different dosages (568, equivalent 1 year inhalation for a rat; 93; 9.3 µg) sampled from Beijing via sterile catheter jugular vein. The behaviors rats upon external interruptions recorded. Blood samples collected...
Toxicology and bedside medical condition monitoring is often desired to be both ultrasensitive noninvasive. However, current biomarker analyses for these purposes are mostly offline fail detect low marker quantities. Here, we report a system called dLABer (detection of living animal's exhaled breath biomarker) that integrates rats, sampling, microfluidics, biosensors the automated tracking breath-borne biomarkers. Our data show could selectively (online) differences (of up 103-fold) in...