Longxiang Li

ORCID: 0000-0003-0893-146X
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About
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Research Areas
  • Air Quality and Health Impacts
  • Radioactivity and Radon Measurements
  • Climate Change and Health Impacts
  • Radiation Dose and Imaging
  • Noise Effects and Management
  • Radioactive contamination and transfer
  • Atmospheric chemistry and aerosols
  • Atmospheric and Environmental Gas Dynamics
  • Pickering emulsions and particle stabilization
  • Global Health Care Issues
  • Proteins in Food Systems
  • Air Quality Monitoring and Forecasting
  • Enzyme Catalysis and Immobilization
  • Food Chemistry and Fat Analysis
  • Geochemistry and Geologic Mapping
  • Remote-Sensing Image Classification
  • Microbial Metabolic Engineering and Bioproduction
  • Grouting, Rheology, and Soil Mechanics
  • Geomechanics and Mining Engineering
  • Health, Environment, Cognitive Aging
  • Plant-based Medicinal Research
  • Protein purification and stability
  • Bioactive Compounds in Plants
  • Chromatography in Natural Products
  • Advanced Photocatalysis Techniques

Emory University
2025

Harvard University
2019-2024

Zhejiang Ocean University
2024

Texas A&M University
2024

Jilin University
2024

Henan Polytechnic University
2024

Jianghan University
2024

Jilin Medical University
2024

Nanjing Agricultural University
2020-2023

University of Glasgow
2023

Iraq and Kuwait are in a region of the world known to be impacted by high levels fine particulate matter (PM2.5) attributable sources that include desert dust ambient pollution, but historically have had limited pollution monitoring networks. The inability assess PM2.5 concentrations assessment health impact these exposures, both native populations previously deployed military personnel. As part Department Veterans Affairs Cooperative Studies Program study land-based U.S. personnel who were...

10.1016/j.envint.2021.106445 article EN cc-by Environment International 2021-02-21

Image segmentation is a key procedure that partitions an image into homogeneous parcels in object-based analysis (OBIA). Scale selection always difficult for high-performance OBIA. This letter aimed at scale before OBIA and proposes spatial statistics-based bandwidth method based on mean-shift segmentation. study uses Ikonos Quickbird panchromatic images as the experimental data then computes their semivariances to select optimal To validate this interpret relationship between scale,...

10.1109/lgrs.2011.2182604 article EN IEEE Geoscience and Remote Sensing Letters 2012-02-13

Human-induced climate change has accelerated in recent decades, causing adverse health effects. However, the impact of changing on neurological disorders older population is not well understood. We applied time-varying Cox proportional hazards models to estimate associations between hospital admissions for dementia and mean variability summer winter temperatures New England. estimated seasonal each England zip code using a satellite-based prediction model. By characterizing spatial...

10.1016/j.envint.2018.12.054 article EN cc-by-nc-nd Environment International 2019-02-26

Rationale: Risk of asthma hospitalization and its disparities associated with air pollutant exposures are less clear within socioeconomically disadvantaged populations, particularly at low degrees exposure. Objectives: To assess effects short-term to fine particulate matter (particulate an aerodynamic diameter ⩽2.5 μm [PM2.5]), warm-season ozone (O3), nitrogen dioxide (NO2) on risk among national Medicaid beneficiaries, the most population in United States, test whether any subpopulations...

10.1164/rccm.202107-1596oc article EN American Journal of Respiratory and Critical Care Medicine 2022-01-24

Radon, a common radioactive indoor air pollutant, is the second leading cause of lung cancer in United States. Knowledge about its distribution essential for risk assessment and designing efficient protective regulations. However, three current radon maps States are unable to provide up-to-date, high-resolution, time-varying concentrations. Tens millions measurements have been conducted as parts property inspections past two decades, making it possible us improve national map. We compiled...

10.1073/pnas.2408084121 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2025-01-14

Effective assessments of air-pollution exposure depend on the ability to accurately predict pollutant concentrations at unmonitored locations, which can be achieved through spatial interpolation. However, most interpolation approaches currently in use are based Euclidean distance, cannot account for complex nonlinear features displayed by distributions wind-field. In this study, an method shortest path distance is developed characterize impact urban wind-field distribution particulate matter...

10.1371/journal.pone.0096111 article EN cc-by PLoS ONE 2014-05-05

Despite strong evidence of the association fine particulate matter (PM2.5) exposure with an increased risk lung cancer mortality, few studies had investigated associations multiple pollutants simultaneously, or incidence, using causal methods. Disparities were also understudied. We long-term effects PM2.5, nitrogen dioxide (NO2), warm-season ozone, and particle radioactivity (PR) exposures on incidence in a nationwide cohort. conducted cohort study Medicare beneficiaries (aged ≥ 65 years)...

10.1016/j.envint.2023.108266 article EN cc-by Environment International 2023-10-14

Abstract Unconventional oil and natural gas development (UOGD) expanded extensively in the United States from early 2000s. However, influence of UOGD on radioactivity ambient particulate is not well understood. We collected particle (PR) measurements RadNet, a nationwide environmental radiation monitoring network. obtained information over 1.5 million wells Enverus database. investigated association between upwind count downwind gross-beta with adjustment for factors governing emission...

10.1038/s41467-020-18226-w article EN cc-by Nature Communications 2020-10-13

Inhaling radon and its progeny is associated with adverse health outcomes. However, previous studies of the effects residential exposure to in United States were commonly based on a county-level temporally invariant model that was developed using measurements collected mid- late 1980s. We machine learning predict monthly concentrations for each ZIP Code Tabulation Area (ZCTA) Greater Boston area 363,783 short-term by Spruce Environmental Technologies, Inc., during period 2005–2018. A...

10.1021/acs.est.0c08792 article EN Environmental Science & Technology 2021-05-03

Abstract Background Radon may have a role in obstructive lung disease outside its known carcinogenicity. Little is about radon's effects on asthma morbidity. Objective To determine the effect of radon fractional exhaled nitric oxide (F E NO), symptom‐days, and function inner‐city asthmatic school children. Methods Two hundred ninety‐nine school‐aged children enrolled School Inner‐City Asthma Study (SICAS‐1) were followed. One two‐month averaged was assessed using spatiotemporal model...

10.1002/ppul.26429 article EN Pediatric Pulmonology 2023-04-21

Associations between gaseous pollutant exposure and stillbirth have focused on exposures averaged over trimesters or gestation. We investigated the association short-term increases in nitrogen dioxide (NO2) ozone (O3) concentrations risk among a national sample of 116 788 Medicaid enrollees from 2000 to 2014. A time-stratified case-crossover design was used estimate distributed (lag 0–lag 6) cumulative lag effects, which were adjusted for PM2.5 concentration temperature. Effect modification...

10.1021/acs.est.3c05580 article EN Environmental Science & Technology 2024-01-04

Temporally resolved assessment of residential exposure to radon is essential for investigating radon's acute health effects. Recent studies have used large numbers short-term measurements model the spatiotemporal variations in concentrations. However, most northeastern and midwestern United States were conducted basements, which less frequently occupied had higher average concentrations than upstairs spaces. Disproportionate usage basement potentially introduces misclassifications. In an...

10.1021/acs.estlett.1c00989 article EN Environmental Science & Technology Letters 2022-01-12

Our previous work has reported that EstJ6 was a phthalate-degrading hydrolase. In the study, random mutant library constructed by two rounds of error-prone PCR, three mutants (ET1.1, ET2.1, and ET2.2) with enhanced hydrolytic activity against dibutyl phthalate (DBP) were obtained. The best ET2.2, accumulated amino acid substitutions (Thr91Met, Ala67Val, Val249Ile) exhibited 2.8-fold increase enzyme 2.3-fold higher expression level. Meanwhile, compared EstJ6, ET2.2 showed over 50% improvement...

10.1016/j.ecoenv.2020.111795 article EN cc-by-nc-nd Ecotoxicology and Environmental Safety 2020-12-17
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