Results 191 to 200 of about 3,975,293 (423)
Anticipating and Preparing Against Possible Industrial Hazards from Air Pollution [PDF]
George R. Hill
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An electrolyte‐gated field effect transistor sensor is used to detect an environmentally relevant nanoplastic model. The sensor identifies the presence of polystyrene nanoplastics in water dispersions without significantly altering its performance in the presence of mercury on the nanoplastics’ surface, indicating that it may be utilized in ...
Giulia Elli+6 more
wiley +1 more source
Evaluation of Occupational Combined Exposure to Organic Solvents and Noise in Printing Industry
Background: In working environments where organic solvents such as toluene, Benzyene, xylene, styrene, and trichloroethylene are used, noise is also common.
Khaled El-Said
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A Continuous Recording Visibility Meter for Air Pollution Studies [PDF]
C. W. Marynowski, F.E. Littman
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Enhanced Oxygen Evolution Kinetics via Single‐Atom Catalyst Design: A Review
Single atom catalysts (SACs) in oxygen evolution reaction (OER). TOC shows key aspects like synthetic strategies, supports‐selection principle, metal types, and OER performances in SACs. Abstract This review highlights recent advancements in enhancing oxygen evolution reaction kinetics through the design of single‐atom catalysts.
Zhen Yuan+7 more
wiley +1 more source
Modelling distributed lag effects in mortality and air pollution studies: the case of Santiago [PDF]
Most of the epidemiological literature on air pollution and mortality deals only with single or dual pollutant models whose results are hard to interpret and of questionable value from the policy perspective.
Cifuentes, L., Maddison, D.
core
This article provides a comprehensive overview of electroless plating, covering its basic mechanisms, bath composition, operating parameters, and metal layer characterization. It also addresses recent advancements, current limitations, and potential improvements, as well as the technology's applications in various industries.
Na Kyoung Kim+4 more
wiley +1 more source
E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting [PDF]
Modeling and forecasting air quality plays a crucial role in informed air pollution management and protecting public health. The air quality data of a region, collected through various pollution monitoring stations, display nonlinearity, nonstationarity, and highly dynamic nature and detain intense stochastic spatiotemporal correlation.
arxiv
A Statement on the Present Possibilities of Applying Meteorology in Air-Pollution Abatement [PDF]
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