The Experts below are selected from a list of 65553 Experts worldwide ranked by ideXlab platform
Yan Zheng - One of the best experts on this subject based on the ideXlab platform.
-
health protective behavior following required arsenic testing under the new jersey private well testing act
International Journal of Hygiene and Environmental Health, 2018Co-Authors: Sara V Flanagan, Jessie A Gleason, Steven E Spayd, Nicholas A Procopio, Megan Rockafellowbaldoni, Stuart Braman, Steven N Chillrud, Yan ZhengAbstract:Abstract Exposure to naturally occurring arsenic in groundwater is a public health concern, particularly for households served by unregulated private wells. At present, one of the greatest barriers to exposure reduction is a lack of private well testing due to difficulties in motivating individual private well owners to take protective actions. Policy and regulations requiring testing could make a significant contribution towards universal screening of private well water and arsenic exposure reduction. New Jersey’s Private Well Testing Act (PWTA) requires tests for arsenic during real estate transactions; however, the regulations do not require remedial action when maximum contaminant levels (MCLs) are exceeded. A follow-up survey sent to residents of homes where arsenic was measured above the state MCL in PWTA-required tests reveals a range of mitigation behavior among respondents (n = 486), from taking no action to reduce exposure (28%), to reporting both treatment use and appropriate maintenance and monitoring behavior (15%). Although 86% of respondents recall their well was tested during their real estate transaction, only 60% report their test showed an arsenic problem. Treatment systems are used by 63% of households, although half were installed by a previous owner. Among those treating their water (n = 308), 57% report that maintenance is being performed as recommended, although only 31% have tested the treated water within the past year. Perceived susceptibility and perceived barriers are strong predictors of mitigation action. Among those treating for arsenic, perceived severity is associated with recent monitoring, and level of commitment is associated with proper maintenance. Mention of a treatment Service Agreement is a strong predictor of appropriate monitoring and maintenance behavior, while treatment installed by a previous owner is less likely to be maintained. Though the PWTA requires that wells be tested, this study finds that not all current well owners are aware the test occurred or understood the implications of their arsenic results. Among those that have treatment installed to remove arsenic, poor monitoring and maintenance behaviors threaten to undermine intentions to reduce exposure. Findings suggest that additional effort, resources, and support to ensure home buyers pay attention to, understand, and act on test results at the time they are performed may help improve management of arsenic water problems over the long term and thus the PWTA’s public health impact.
Megan Rockafellowbaldoni - One of the best experts on this subject based on the ideXlab platform.
-
health protective behavior following required arsenic testing under the new jersey private well testing act
International Journal of Hygiene and Environmental Health, 2018Co-Authors: Sara V Flanagan, Jessie A Gleason, Steven E Spayd, Nicholas A Procopio, Megan Rockafellowbaldoni, Stuart Braman, Steven N Chillrud, Yan ZhengAbstract:Abstract Exposure to naturally occurring arsenic in groundwater is a public health concern, particularly for households served by unregulated private wells. At present, one of the greatest barriers to exposure reduction is a lack of private well testing due to difficulties in motivating individual private well owners to take protective actions. Policy and regulations requiring testing could make a significant contribution towards universal screening of private well water and arsenic exposure reduction. New Jersey’s Private Well Testing Act (PWTA) requires tests for arsenic during real estate transactions; however, the regulations do not require remedial action when maximum contaminant levels (MCLs) are exceeded. A follow-up survey sent to residents of homes where arsenic was measured above the state MCL in PWTA-required tests reveals a range of mitigation behavior among respondents (n = 486), from taking no action to reduce exposure (28%), to reporting both treatment use and appropriate maintenance and monitoring behavior (15%). Although 86% of respondents recall their well was tested during their real estate transaction, only 60% report their test showed an arsenic problem. Treatment systems are used by 63% of households, although half were installed by a previous owner. Among those treating their water (n = 308), 57% report that maintenance is being performed as recommended, although only 31% have tested the treated water within the past year. Perceived susceptibility and perceived barriers are strong predictors of mitigation action. Among those treating for arsenic, perceived severity is associated with recent monitoring, and level of commitment is associated with proper maintenance. Mention of a treatment Service Agreement is a strong predictor of appropriate monitoring and maintenance behavior, while treatment installed by a previous owner is less likely to be maintained. Though the PWTA requires that wells be tested, this study finds that not all current well owners are aware the test occurred or understood the implications of their arsenic results. Among those that have treatment installed to remove arsenic, poor monitoring and maintenance behaviors threaten to undermine intentions to reduce exposure. Findings suggest that additional effort, resources, and support to ensure home buyers pay attention to, understand, and act on test results at the time they are performed may help improve management of arsenic water problems over the long term and thus the PWTA’s public health impact.
Vesna Jevtic - One of the best experts on this subject based on the ideXlab platform.
-
context dependent maintenance effort estimation case study in a small software company
Symposium on Applied Computational Intelligence and Informatics, 2013Co-Authors: Zeljko Stojanov, Dalibor Dobrilovic, Jelena Stojanov, Vesna JevticAbstract:This paper presents an approach to software maintenance effort estimation based on the analysis of software maintenance requests available in issue tracking system in a very small local software company. Over 1900 requests, collected during 19 months in 2010 and 2011, were selected for analysis. The approach takes into account: the frequency of submitted user requests for particular periods of time important for organizing work in the company, the existence of maintenance Service Agreement for clients, the number of programmers assigned to the task associated to each request, and the number of working hours required for requests solving. The approach calculates correlation and establishes linear regression between frequencies of submitted user requests and the average time required for completing requests. This approach estimates an average number of working hours for processing user requests in periods of time that are important for internal company organization. In the paper are also discussed implications for practice and research, and provided recommendations for adapting this approach to other small software companies.
-
SACI - Context dependent maintenance effort estimation: Case study in a small software company
2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2013Co-Authors: Zeljko Stojanov, Dalibor Dobrilovic, Jelena Stojanov, Vesna JevticAbstract:This paper presents an approach to software maintenance effort estimation based on the analysis of software maintenance requests available in issue tracking system in a very small local software company. Over 1900 requests, collected during 19 months in 2010 and 2011, were selected for analysis. The approach takes into account: the frequency of submitted user requests for particular periods of time important for organizing work in the company, the existence of maintenance Service Agreement for clients, the number of programmers assigned to the task associated to each request, and the number of working hours required for requests solving. The approach calculates correlation and establishes linear regression between frequencies of submitted user requests and the average time required for completing requests. This approach estimates an average number of working hours for processing user requests in periods of time that are important for internal company organization. In the paper are also discussed implications for practice and research, and provided recommendations for adapting this approach to other small software companies.
Sara V Flanagan - One of the best experts on this subject based on the ideXlab platform.
-
health protective behavior following required arsenic testing under the new jersey private well testing act
International Journal of Hygiene and Environmental Health, 2018Co-Authors: Sara V Flanagan, Jessie A Gleason, Steven E Spayd, Nicholas A Procopio, Megan Rockafellowbaldoni, Stuart Braman, Steven N Chillrud, Yan ZhengAbstract:Abstract Exposure to naturally occurring arsenic in groundwater is a public health concern, particularly for households served by unregulated private wells. At present, one of the greatest barriers to exposure reduction is a lack of private well testing due to difficulties in motivating individual private well owners to take protective actions. Policy and regulations requiring testing could make a significant contribution towards universal screening of private well water and arsenic exposure reduction. New Jersey’s Private Well Testing Act (PWTA) requires tests for arsenic during real estate transactions; however, the regulations do not require remedial action when maximum contaminant levels (MCLs) are exceeded. A follow-up survey sent to residents of homes where arsenic was measured above the state MCL in PWTA-required tests reveals a range of mitigation behavior among respondents (n = 486), from taking no action to reduce exposure (28%), to reporting both treatment use and appropriate maintenance and monitoring behavior (15%). Although 86% of respondents recall their well was tested during their real estate transaction, only 60% report their test showed an arsenic problem. Treatment systems are used by 63% of households, although half were installed by a previous owner. Among those treating their water (n = 308), 57% report that maintenance is being performed as recommended, although only 31% have tested the treated water within the past year. Perceived susceptibility and perceived barriers are strong predictors of mitigation action. Among those treating for arsenic, perceived severity is associated with recent monitoring, and level of commitment is associated with proper maintenance. Mention of a treatment Service Agreement is a strong predictor of appropriate monitoring and maintenance behavior, while treatment installed by a previous owner is less likely to be maintained. Though the PWTA requires that wells be tested, this study finds that not all current well owners are aware the test occurred or understood the implications of their arsenic results. Among those that have treatment installed to remove arsenic, poor monitoring and maintenance behaviors threaten to undermine intentions to reduce exposure. Findings suggest that additional effort, resources, and support to ensure home buyers pay attention to, understand, and act on test results at the time they are performed may help improve management of arsenic water problems over the long term and thus the PWTA’s public health impact.
Moti Yung - One of the best experts on this subject based on the ideXlab platform.
-
Privacy Preserving Data Mining within Anonymous Credential Systems
Security and Cryptography for Networks, 2008Co-Authors: Aggelos Kiayias, Shouhuai Xu, Moti YungAbstract:Regular (non-private) data mining can be applied to manage and utilize accumulated transaction data. For example, the accumulated relative Service time per user per month can be calculated given individual transaction data from which the user compliance with a Service Agreement can be determined and possibly billing can be processed. Nevertheless, due to user privacy concerns, cryptographic research developed transactions based on unlinkable anonymous credentials. Given the nature of anonymous credentials the ease of managing accumulated data (e.g., per user) is lost. To restore the possibility of management and accumulation of data it seems that a suitable form of privacy preserving data mining is needed. Indeed, privacy preserving data mining methods have been suggested for various protocols and interactions where individual data can be contributed in an encrypted form, but not within the context of anonymous credentials. Given our motivation we suggest a new notion of performing “privacy preserving data mining within the context of anonymous cryptographic credential systems,” so as to protect both the privacy of individually contributed data and the identity of their sources while revealing only what is needed. To instantiate our approach we focus on a primitive we call “data mining group signatures” (DMGS), where it is possible for a set of authorities to employ distributed quorum control for conducting privacy preserving data mining operations on a batch of transactions while preserving maximum possible anonymity. We define and model the new primitive and its security goals, we then present a construction and finally show its privacy and security properties. Along the way we build a methodology that safely combines multi-server protocols as sub-procedures in a more general setting.
