A5063315022- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Air Quality Monitoring and Forecasting
- Atmospheric Ozone and Climate
- Vehicle emissions and performance
- Atmospheric and Environmental Gas Dynamics
- Atmospheric aerosols and clouds
- Wireless Communication Networks Research
- Data Stream Mining Techniques
- Power Systems and Technologies
- Satellite Communication Systems
- Ionosphere and magnetosphere dynamics
- Noise Effects and Management
- Cyclone Separators and Fluid Dynamics
- Wind and Air Flow Studies
- Smart Materials for Construction
- Advanced Chemical Sensor Technologies
- Climate Change and Health Impacts
- Spacecraft and Cryogenic Technologies
- Energy and Environment Impacts
- Urban Transport and Accessibility
- Traffic and Road Safety
- Climate variability and models
- Time Series Analysis and Forecasting
- Machine Learning and Data Classification
National Institute of Water and Atmospheric Research
2013-2022
Universidad Nacional Autónoma de México
2010-2020
Stockholm University
2004-2008
Swedish Meteorological and Hydrological Institute
2004
University of Chile
2000
Building predictive models of the cell requires systematically mapping how perturbations reshape each cell's state, function, and behavior. Here, we present Tahoe-100M, a giga-scale single-cell atlas 100 million transcriptomic profiles measuring 1,100 small-molecule impact cells across 50 cancer lines. Our high-throughput Mosaic platform, composed highly diverse optimally balanced 'cell village', reduces batch effects enables parallel profiling thousands conditions at resolution an...
This commentary paper from the recently formed International Global Atmospheric Chemistry (IGAC) Southern Hemisphere Working Group outlines key issues in atmospheric composition research that particularly impact Hemisphere. In this article, we present a broad overview of many challenges for understanding chemistry Hemisphere, before focusing on most significant factors differentiate it Northern We sections importance biogenic emissions and fires showing these often dominate over...
Eight cases of locally acquired, mosquito-transmitted (i.e., autochthonous) Plasmodium vivax malaria, which has not been reported in the United States since 2003, were to CDC from state health departments Florida and Texas during May 18-July 17, 2023. As August 4, 2023, case surveillance, mosquito surveillance control activities, public outreach education activities continue both states. U.S. clinicians need consider a malaria diagnosis patients with unexplained fever, especially areas where...
Abstract. The large gradients in air quality expected urban areas present a significant challenge to standard measurement technologies. Small, low-cost devices have been developing rapidly recent years and the potential improve spatial coverage of traditional measurements. Here we first version Outdoor Dust Information Node (ODIN) as well results real-world lab tests indicate that Sharp dust sensor used ODIN presents stable baseline response only slightly affected by ambient temperature....
Based on the results from a 6-week monitoring campaign in an area close to major highway north of Stockholm, Sweden, NOx emission factors representative for vehicle speeds 100−120 km per h were determined 0.61 g/veh,km light duty and 7.1 heavy vehicles. The corresponding particle number 1.4 × 1014 52 particles/veh,km, ambient temperature interval +7 +17 °C. removal effects coagulation dry deposition total concentrations assessed by numerical model simulations. Velocity turbulence fields,...
Machine learning requires sufficient and reliable data to enhance the prediction performance. However, environmental sometimes is short and/or contains missing data. Often existing models built on machine fail predict problems accurately. We argue that spatial domain can be used facilitate training of temporal model. This paper formulates mathematically a aided incremental support vector regression (SalncSVR) for spatio-temporal PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
A low-cost, low power consumption indoor environment monitoring instrument, called SKOMOBO (school box), was developed and tested. includes sensors to monitor temperature/relative humidity, carbon dioxide (CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ), particulate matter motions. using the open source hardware Arduino Pro Mini. This paper describes process of building SKOMOBO, including sensor selection, printed circuit board...
Abstract. Mapping Air Pollution eMissions (MAPM) is a 2-year project whose goal to develop method infer particulate matter (PM) emissions maps from in situ PM concentration measurements. Central the functionality of MAPM an inverse model. The input model includes spatially distributed prior estimate and measurement time series instruments across desired domain. In this proof-of-concept study, we describe construction model, mathematics underlying retrieval resultant posterior maps, way which...
Abstract In this paper we derive typical emission factors for coarse particulate matter (PM10), oxides of nitrogen (NOx), black carbon (BC), and number particle size distributions based on a combination measurements air quality dispersion modeling. The advantage approach is that the represent integrated emissions from several vehicle types different wood stoves. Normally it very difficult to estimate total in cities basis laboratory single vehicles or stoves because large variability...
Spatial saturation studies using source-specific chemical tracers are commonly used to examine intra-urban variation in exposures and source impacts, for epidemiology policy purposes. Most such studies, however, has been performed North America Europe, with substantial regional combustion-source contributions. In contrast, Auckland, New Zealand, a large western city, is relatively isolated the south Pacific, minimal impact from long-range combustion sources. However, fluctuating wind...
A low-cost, low power consumption indoor environment monitoring device, called SKOMOBO (SKOol Monitoring Box), was developed. includes the sensors to monitor temperature/relative humidity, carbon dioxide, particulate matter (PM) and motion (PIR). developed using open source software on Arduino Pro Mini. 165 units of were manufactured at Massey University (New Zealand) in September 2017. These then deployed across New Zealand air quality primary school classrooms. This paper describes...
Data collected over time often exhibit changes in distribution, or concept drift, caused by hidden context relevant to the classification task, e.g. weather conditions. Adaptive learning methods are able retain performance changing conditions explicitly detecting drift and classifier used make predictions. However, realworld conditions, existing select classifiers which poorly represent current data due adaptation errors, where change is misidentified. We propose AiRStream system, uses a...
Increases in tropospheric ozone (O 3 ) abundance are likely to take place the near future populous and rapidly developing countries tropics subtropics. An accurate evaluation of impact increasing industrial activities tropical subtropical areas requires knowledge background levels ozone. New monitoring stations have been installed at several sites by World Meteorological Organization (WMO) since mid-90s. We analyze data collected during two years April 1996 Cerro Tololo (30°S, 70°W, 2200...