10,155 research outputs found
Air pollution and meteorological data in Beijing 2017-2018
No full textIn this study, Beijing, the capital of China, is selected as the study area. Hourly mean concentrations of six regulatory air pollutants including O3 (μg/m3), SO2 (μg/m3), NO2 (μg/m3), PM2.5 (μg/m3), PM10 (μg/m3), and CO (mg/m3) were collected from 35 air quality monitoring stations labeled by 1 to 35 from 01/01/2017 to 05/30/2018. The data was provided by the Ministry of Environmental Protection (MEP) of China. Hourly averaged meteorological data in the same period were first accessed from The National Oceanic and Atmospheric Administration (NOAA), then processed by the Weather Research and Forecasting (WRF) model to produce grid meteorological data (21×31 points) with a grid spacing of 5 km. Meteorological parameters including temperature, air pressure, relative humidity, wind speed, and wind direction are selected as the main meteorological features due to their close relationships with the change of ozone concentrations
Digital dissertation consortium
No full textWang Hongwei."February 2001."Thesis (Ph.D.)--Chinese University of Hong Kong, 2001.Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.Mode of access: World Wide Web.Abstracts in English and Chinese
Air pollution and meteorological data in Beijing 2016-2017
No full textIn this study, Beijing, the capital of China, is selected as the study area. Hourly mean concentrations of six regulatory air pollutants including O3 (μg/m3), SO2 (μg/m3), NO2 (μg/m3), PM2.5 (μg/m3), PM10 (μg/m3), and CO (mg/m3) were collected from 35 air quality monitoring stations labeled by 1 to 35 from 01/01/2017 to 05/30/2018. The data was provided by the Ministry of Environmental Protection (MEP) of China. Hourly averaged meteorological data in the same period were first accessed from The National Oceanic and Atmospheric Administration (NOAA), then processed by the Weather Research and Forecasting (WRF) model to produce grid meteorological data (21×31 points) with a grid spacing of 5 km. Meteorological parameters including temperature, air pressure, relative humidity, wind speed, and wind direction are selected as the main meteorological features due to their close relationships with the change of ozone concentrations
Air pollution and meteorological data in Beijing 2016-2017
No full textIn this study, Beijing, the capital of China, is selected as the study area. Hourly mean concentrations of six regulatory air pollutants including O3 (μg/m3), SO2 (μg/m3), NO2 (μg/m3), PM2.5 (μg/m3), PM10 (μg/m3), and CO (mg/m3) were collected from 35 air quality monitoring stations labeled by 1 to 35 from 01/01/2017 to 05/30/2018. The data was provided by the Ministry of Environmental Protection (MEP) of China. Hourly averaged meteorological data in the same period were first accessed from The National Oceanic and Atmospheric Administration (NOAA), then processed by the Weather Research and Forecasting (WRF) model to produce grid meteorological data (21×31 points) with a grid spacing of 5 km. Meteorological parameters including temperature, air pressure, relative humidity, wind speed, and wind direction are selected as the main meteorological features due to their close relationships with the change of ozone concentrations
Air pollution and meteorological data in Beijing 2017-2018
No full textIn this study, Beijing, the capital of China, is selected as the study area. Hourly mean concentrations of six regulatory air pollutants including O3 (μg/m3), SO2 (μg/m3), NO2 (μg/m3), PM2.5 (μg/m3), PM10 (μg/m3), and CO (mg/m3) were collected from 35 air quality monitoring stations labeled by 1 to 35 from 01/01/2017 to 05/30/2018. The data was provided by the Ministry of Environmental Protection (MEP) of China. Hourly averaged meteorological data in the same period were first accessed from The National Oceanic and Atmospheric Administration (NOAA), then processed by the Weather Research and Forecasting (WRF) model to produce grid meteorological data (21×31 points) with a grid spacing of 5 km. Meteorological parameters including temperature, air pressure, relative humidity, wind speed, and wind direction are selected as the main meteorological features due to their close relationships with the change of ozone concentrations
On exploiting human domain workflows in cyber-physical systems
Full text linkIn this thesis, we describe a general methodology for enhancing sensing accuracy in cyber-physical systems that involve human domain workflows in noisy physical environment. A novel workflow-aware sensing model is proposed to jointly correct unreliable sensor data and keep track of states in a workflow. We also propose a new inference algorithm to handle cases with partially known states and objects as supervision. Our model is evaluated with extensive simulations. As a concrete application, we develop a novel log service called Emergency Transcriber, which can automatically document operational procedures followed by teams of first responders in emergency response scenarios. Evaluation shows that our system has significant improvement over commercial off-the-shelf (COTS) sensors and keeps track of workflow states with high accuracy in noisy physical environment.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-12-01The student, Hongwei Wang, accepted the attached license on 2016-12-06 at 15:52.The student, Hongwei Wang, submitted this Thesis for approval on 2016-12-06 at 16:57.This Thesis was approved for publication on 2016-12-07 at 09:47.DSpace SAF Submission Ingestion Package generated from Vireo submission #10458 on 2017-02-28 at 14:43:19Made available in DSpace on 2017-03-01T17:02:05Z (GMT). No. of bitstreams: 2
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Previous issue date: 2016-12-07Embargo set by: Seth Robbins for item 98732
Lift date: 2019-03-01T17:02:22Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 98732
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 98732
Lift date: 2019-03-01T17:05:02Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 98732
Lift date: 2019-03-01T17:06:55Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 98732 on 2019-03-02T10:15:30Z
Dietary carbohydrate digestion and fermentation: Relevance for prevention of type 2 diabetes
Full text linkDietary carbohydrate consumption has been related to the prevention of type 2 diabetes (T2DM). The fermentation process of non-digestible carbohydrates was thought to play a role through its fermentation products short-chain fatty acids (SCFAs).
We observed that in healthy men non-digestible carbohydrates taken in an evening meal were able to diminish postprandial blood glucose response, increase peripheral insulin sensitivity and suppress the glucose induced pro-inflammatory response (second meal effect). The colonic fermentation may be responsible for these beneficial effects, with butyrate as a possible intermediate factor (Chapter 1).
The literature about the relevance of SCFAs towards insulin sensitivity and the possibility of manipulating the colonic fermentation to produce the optimal SCFAs profile was reviewed. We hypothesized that the insulin sensitizing effect of SCFAs is related to the SCFAs profile. Manipulation of the SCFAs profile could be a target for a dietary approach to reduce insulin resistance and control insulin resistance related diseases. (Chapter 2).
We developed a mathematic model to evaluate in vivo the degree of digestion and fermentation of foods rich in carbohydrates. This model provided us a non-invasive and feasible approach to evaluate the contribution of the digestion and fermentation processes to the final overall metabolic effect . (Chapter 3).
The fermentability of the various non-digestible carbohydrates is not documented in detail until now. To achieve this, analytical method was developed to monitor the SCFAs profile in peripheral blood and urine after intake of different non-digestible carbohydrates. We used this method to test the feasibility of changing the SCFAs profile by dietary substrates. (Chapter 4).
Boundary Layer Characteristics on a Tiltrotor Blade Model
No full textBoundary layer characteristics at the trailing edge of a tiltrotor blade model were measured using a flattened pitot probe and a single hot wire. The blade was mounted in Virginia Tech Stability Wind tunnel stationary on a turntable on the wind tunnel's upper wall with the tip pointing down. The measurement point was located at 1 mm behind the trailing edge to make it possible to measure the flow near the blade surface and measure the boundary layer on both sides of the trailing edge in a same run. Mean velocity profiles were measured for a variety of Reynolds numbers and angles of attack. Turbulence intensity and spectral measurements were performed using a single hot wire at the highest Reynolds number. Conclusion was reached that both of the flattened pitot probe and single hot wire are good for boundary layer thickness measurements. Displacement thickness, which is important in trailing edge noise prediction, was calculated from the profile data and fit using an algebra expression against the tip angle of attack. Once the relationship between tip angle of attack and local effective angle of attack is obtained by lifting line theory, the results can be used in the trailing edge noise prediction code.Master of Scienc
sj-pdf-1-teu-10.1177_13548166211058497 – Supplemental Material for Spillover effects from news to travel and leisure stocks during the COVID-19 pandemic: Evidence from the time and frequency domains
No full textSupplemental Material, sj-pdf-1-teu-10.1177_13548166211058497 for Spillover effects from news to travel and leisure stocks during the COVID-19 pandemic: Evidence from the time and frequency domains by Ying Wang, Hongwei Zhang, Wang Gao and Cai Yang in Tourism Economics</p
sj-pdf-1-hip-10.1177_09540083211036326 – Supplemental Material for Preparation and characterization of soluble heat-resistant polyimide films containing bis-N-phenyl-benzimidazole
No full textSupplemental Material, sj-pdf-1-hip-10.1177_09540083211036326 for Preparation and characterization of soluble heat-resistant polyimide films containing bis-N-phenyl-benzimidazole by Dandan Li, Chengyang Wang, Shengqi Ma, Hongwei Zhou and Ran Lu in High Performance Polymers</p
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