scholarly journals Bayesian Algorithm Implementation in a Real Time Exposure Assessment Model on Benzene with Calculation of Associated Cancer Risks

Sensors ◽  
2009 ◽  
Vol 9 (2) ◽  
pp. 731-755 ◽  
Author(s):  
Dimosthenis Sarigiannis ◽  
Spyros Karakitsios ◽  
Alberto Gotti ◽  
Costas Papaloukas ◽  
Pavlos Kassomenos ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Real Time ◽  
Assessment Model ◽  
Cancer Risks ◽  
Bayesian Algorithm ◽  
Time Exposure ◽  
Algorithm Implementation

scholarly journals Novel monitor paradigm for real-time exposure assessment

2010 ◽  
Vol 21 (4) ◽  
pp. 419-426 ◽  
Author(s):  
Indira Negi ◽  
Francis Tsow ◽  
Kshitiz Tanwar ◽  
Lihua Zhang ◽  
Rodrigo A Iglesias ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Real Time ◽  
Time Exposure

The Integrated Model Evaluation System (IMES): A Database for Evaluation of Exposure Assessment Models

1991 ◽  
Vol 24 (6) ◽  
pp. 315-322 ◽  
Author(s):  
S. P. Schreiner ◽  
M. Gaughan ◽  
H. L. Schultz ◽  
R. Walentowicz
Keyword(s):  
Surface Water ◽  
Exposure Assessment ◽  
Model Evaluation ◽  
Evaluation System ◽  
Chemical Exposure ◽  
Integrated Model ◽  
Assessment Model ◽  
Other Information ◽  
Access Information ◽  
Query Systems

The USEPA Office of Health and Environmental Assessment develops methodologies for conducting exposure and risk assessments. Protocols appropriate for specific analyses have been developed to aid in the selection of an exposure assessment model and to assess the validation and uncertainties associated with models used for toxic chemical exposure assessments in surface water, groundwater, and air. A software package has been developed to provide users with a quick and intuitive tool to access information for selected models and applications based on these protocols. The Integrated Model Evaluation System (IMES) is composed of three modules: 1) Selection, query systems for selecting a model based on technical criteria (currently for surface water, non-point source, and groundwater models); 2) Validation, a database containing validation and other information on over 50 models in various media; and 3) Uncertainty, a database demonstrating uncertainty simulations for several surface water models applied to exposure assessments of several chemicals. The selection modules are linked to the uncertainty and validation modules to access information for chosen models. The PC-based software system employs pull-down menus, help screens, and graphics to display its information.

scholarly journals Reducing the Influence of Environmental Factors on Performance of a Diffusion-Based Personal Exposure Kit

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4637
Author(s):  
Huixin Zong ◽  
Peter Brimblecombe ◽  
Li Sun ◽  
Peng Wei ◽  
Kin-Fai Ho ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Real Time ◽  
Low Cost ◽  
Personal Exposure ◽  
Sensor Technology ◽  
Heterogeneous Environments ◽  
Mathematical Algorithms ◽  
Personal Exposure Assessment ◽  
Address System ◽  
The Impact

Sensor technology has enabled the development of portable low-cost monitoring kits that might supplement many applications in conventional monitoring stations. Despite the sensitivity of electrochemical gas sensors to environmental change, they are increasingly important in monitoring polluted microenvironments. The performance of a compact diffusion-based Personal Exposure Kit (PEK) was assessed for real-time gaseous pollutant measurement (CO, O3, and NO2) under typical environmental conditions encountered in the subtropical city of Hong Kong. A dynamic baseline tracking method and a range of calibration protocols to address system performance were explored under practical scenarios to assess the performance of the PEK in reducing the impact of rapid changes in the ambient environment in personal exposure assessment applications. The results show that the accuracy and stability of the ppb level gas measurement is enhanced even in heterogeneous environments, thus avoiding the need for data post-processing with mathematical algorithms, such as multi-linear regression. This establishes the potential for use in personal exposure monitoring, which has been difficult in the past, and for reporting more accurate and reliable data in real-time to support personal exposure assessment and portable air quality monitoring applications.

Real-time imaging-based assessment model for improving teaching performance and student experience in e-learning

2017 ◽  
Vol 13 (3) ◽  
pp. 491-504 ◽  
Author(s):  
Muhammad Farhan ◽  
Muhammad Aslam ◽  
Sohail Jabbar ◽  
Shehzad Khalid ◽  
Mucheol Kim
Keyword(s):  
Real Time ◽  
Student Experience ◽  
Assessment Model ◽  
Teaching Performance ◽  
Real Time Imaging ◽  
E Learning

scholarly journals AWARE: A Wearable Awareness with Real-time Exposure, for monitoring alcohol consumption impact through ethyl glucuronide detection

Alcohol ◽  
2019 ◽  
Vol 81 ◽  
pp. 93-99 ◽  
Author(s):  
Kai-Chun Lin ◽  
David Kinnamon ◽  
Devangsingh Sankhala ◽  
Sriram Muthukumar ◽  
Shalini Prasad
Keyword(s):  
Alcohol Consumption ◽  
Real Time ◽  
Ethyl Glucuronide ◽  
Time Exposure

Development of a freshness-assessment model for a real-time online monitoring system of packaged commercial milk in distribution

LWT ◽  
2016 ◽  
Vol 68 ◽  
pp. 532-540 ◽  
Author(s):  
Byeong-Sam Kim ◽  
Minwoo Lee ◽  
Ji-Young Kim ◽  
Jae-Yoon Jung ◽  
Junemo Koo
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Online Monitoring ◽  
Assessment Model ◽  
Online Monitoring System ◽  
Commercial Milk
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