The Experts below are selected from a list of 168261 Experts worldwide ranked by ideXlab platform
Laura Lessard - One of the best experts on this subject based on the ideXlab platform.
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Measurement of Compliance With New York City’s Regulations on Beverages, Physical Activity, and Screen Time in Early Child Care Centers
Preventing chronic disease, 2014Co-Authors: Laura Lessard, Catherine A. Lesesne, Jakub Kakietek, Andrew Breck, Jan Jernigan, Lillian Dunn, Cathy Nonas, Sarah Abood O’dell, Robert L. StephensAbstract:INTRODUCTION Policy interventions designed to change the nutrition environment and increase physical activity in child care centers are becoming more common, but an understanding of the implementation of these interventions is yet to be developed. The objective of this study was to explore the extent and consistency of compliance with a policy intervention designed to promote nutrition and physical activity among licensed child care centers in New York City. METHODS We used a multimethod cross-sectional approach and 2 independent Components of data collection (Center Evaluation Component and Classroom Evaluation Component). The methods were designed to evaluate the impact of regulations on beverages served, physical activity, and screen time at child care centers. We calculated compliance scores for each Evaluation Component and each regulation and percentage agreement between compliance in the center and classroom Components. RESULTS Compliance with certain requirements of the beverage regulations was high and fairly consistent between Components, whereas compliance with the physical activity regulation varied according to the data collection Component. Compliance with the regulation on amount and content of screen time was high and consistent. CONCLUSION Compliance with the physical activity regulation may be a more fluid, day-to-day issue, whereas compliance with the regulations on beverages and television viewing may be easier to control at the center level. Multiple indicators over multiple time points may provide a more complete picture of compliance - especially in the assessment of compliance with physical activity policies.
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Evaluation design of new york city s regulations on nutrition physical activity and screen time in early child care centers
Preventing Chronic Disease, 2014Co-Authors: Andrew Breck, Catherine A. Lesesne, Jakub Kakietek, Jan Jernigan, Lillian Dunn, Robert L. Stephens, Kenneth Goodman, Nicola Dawkins, Beth Dixon, Laura LessardAbstract:This article describes the multi-method cross-sectional design used to evaluate New York City Department of Health and Mental Hygiene’s regulations of nutrition, physical activity, and screen time for children aged 3 years or older in licensed group child care centers. The Center Evaluation Component collected data from a stratified random sample of 176 licensed group child care centers in New York City. Compliance with the regulations was measured through a review of center records, a facility inventory, and interviews of center directors, lead teachers, and food service staff. The Classroom Evaluation Component included an observational and biometric study of a sample of approximately 1,400 children aged 3 or 4 years attending 110 child care centers and was designed to complement the center Component at the classroom and child level. The study methodology detailed in this paper may aid researchers in designing policy Evaluation studies that can inform other jurisdictions considering similar policies.
Robert L. Stephens - One of the best experts on this subject based on the ideXlab platform.
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Measurement of Compliance With New York City’s Regulations on Beverages, Physical Activity, and Screen Time in Early Child Care Centers
Preventing chronic disease, 2014Co-Authors: Laura Lessard, Catherine A. Lesesne, Jakub Kakietek, Andrew Breck, Jan Jernigan, Lillian Dunn, Cathy Nonas, Sarah Abood O’dell, Robert L. StephensAbstract:INTRODUCTION Policy interventions designed to change the nutrition environment and increase physical activity in child care centers are becoming more common, but an understanding of the implementation of these interventions is yet to be developed. The objective of this study was to explore the extent and consistency of compliance with a policy intervention designed to promote nutrition and physical activity among licensed child care centers in New York City. METHODS We used a multimethod cross-sectional approach and 2 independent Components of data collection (Center Evaluation Component and Classroom Evaluation Component). The methods were designed to evaluate the impact of regulations on beverages served, physical activity, and screen time at child care centers. We calculated compliance scores for each Evaluation Component and each regulation and percentage agreement between compliance in the center and classroom Components. RESULTS Compliance with certain requirements of the beverage regulations was high and fairly consistent between Components, whereas compliance with the physical activity regulation varied according to the data collection Component. Compliance with the regulation on amount and content of screen time was high and consistent. CONCLUSION Compliance with the physical activity regulation may be a more fluid, day-to-day issue, whereas compliance with the regulations on beverages and television viewing may be easier to control at the center level. Multiple indicators over multiple time points may provide a more complete picture of compliance - especially in the assessment of compliance with physical activity policies.
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Evaluation design of new york city s regulations on nutrition physical activity and screen time in early child care centers
Preventing Chronic Disease, 2014Co-Authors: Andrew Breck, Catherine A. Lesesne, Jakub Kakietek, Jan Jernigan, Lillian Dunn, Robert L. Stephens, Kenneth Goodman, Nicola Dawkins, Beth Dixon, Laura LessardAbstract:This article describes the multi-method cross-sectional design used to evaluate New York City Department of Health and Mental Hygiene’s regulations of nutrition, physical activity, and screen time for children aged 3 years or older in licensed group child care centers. The Center Evaluation Component collected data from a stratified random sample of 176 licensed group child care centers in New York City. Compliance with the regulations was measured through a review of center records, a facility inventory, and interviews of center directors, lead teachers, and food service staff. The Classroom Evaluation Component included an observational and biometric study of a sample of approximately 1,400 children aged 3 or 4 years attending 110 child care centers and was designed to complement the center Component at the classroom and child level. The study methodology detailed in this paper may aid researchers in designing policy Evaluation studies that can inform other jurisdictions considering similar policies.
Andrew Breck - One of the best experts on this subject based on the ideXlab platform.
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Measurement of Compliance With New York City’s Regulations on Beverages, Physical Activity, and Screen Time in Early Child Care Centers
Preventing chronic disease, 2014Co-Authors: Laura Lessard, Catherine A. Lesesne, Jakub Kakietek, Andrew Breck, Jan Jernigan, Lillian Dunn, Cathy Nonas, Sarah Abood O’dell, Robert L. StephensAbstract:INTRODUCTION Policy interventions designed to change the nutrition environment and increase physical activity in child care centers are becoming more common, but an understanding of the implementation of these interventions is yet to be developed. The objective of this study was to explore the extent and consistency of compliance with a policy intervention designed to promote nutrition and physical activity among licensed child care centers in New York City. METHODS We used a multimethod cross-sectional approach and 2 independent Components of data collection (Center Evaluation Component and Classroom Evaluation Component). The methods were designed to evaluate the impact of regulations on beverages served, physical activity, and screen time at child care centers. We calculated compliance scores for each Evaluation Component and each regulation and percentage agreement between compliance in the center and classroom Components. RESULTS Compliance with certain requirements of the beverage regulations was high and fairly consistent between Components, whereas compliance with the physical activity regulation varied according to the data collection Component. Compliance with the regulation on amount and content of screen time was high and consistent. CONCLUSION Compliance with the physical activity regulation may be a more fluid, day-to-day issue, whereas compliance with the regulations on beverages and television viewing may be easier to control at the center level. Multiple indicators over multiple time points may provide a more complete picture of compliance - especially in the assessment of compliance with physical activity policies.
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Evaluation design of new york city s regulations on nutrition physical activity and screen time in early child care centers
Preventing Chronic Disease, 2014Co-Authors: Andrew Breck, Catherine A. Lesesne, Jakub Kakietek, Jan Jernigan, Lillian Dunn, Robert L. Stephens, Kenneth Goodman, Nicola Dawkins, Beth Dixon, Laura LessardAbstract:This article describes the multi-method cross-sectional design used to evaluate New York City Department of Health and Mental Hygiene’s regulations of nutrition, physical activity, and screen time for children aged 3 years or older in licensed group child care centers. The Center Evaluation Component collected data from a stratified random sample of 176 licensed group child care centers in New York City. Compliance with the regulations was measured through a review of center records, a facility inventory, and interviews of center directors, lead teachers, and food service staff. The Classroom Evaluation Component included an observational and biometric study of a sample of approximately 1,400 children aged 3 or 4 years attending 110 child care centers and was designed to complement the center Component at the classroom and child level. The study methodology detailed in this paper may aid researchers in designing policy Evaluation studies that can inform other jurisdictions considering similar policies.
Andrey Chechulin - One of the best experts on this subject based on the ideXlab platform.
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Fast Network Attack Modeling and Security Evaluation based on Attack Graphs
Journal of Cyber Security and Mobility, 2014Co-Authors: Igor Kotenko, Andrey ChechulinAbstract:The paper suggests an approach to network attack modeling and security Evaluation which is realized in advanced Security Information and Event Management (SIEM) systems. It is based on modeling of computer network and malefactors’ behaviors, building attack graphs, processing current alerts for real-time adjusting of particular attack graphs, calculating different security metrics and providing security assessment procedures. The novelty of the proposed approach is the use of special algorithms for construction, modification and analysis of attack graphs aimed at rapid security Evaluation. This allows using this approach in SIEM systems that operate in near-real time. The generalized architecture of the Attack Modeling and Security Evaluation Component (AMSEC), as one of the main analytical Components of SIEM systems, is outlined. The main Components and techniques for attack modeling and security Evaluation are defined. A prototype of the AMSEC is presented. Experiments with this prototype are evaluated.
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IDAACS - Computer attack modeling and security Evaluation based on attack graphs
2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013Co-Authors: Igor Kotenko, Andrey ChechulinAbstract:The paper considers an approach to computer attack modeling and security Evaluation which is suggested to realize in advanced Security Information and Event Management (SIEM) systems. It is based on modeling of malefactors' behavior, building a common attack graph, processing current alerts for real-time adjusting of particular attack graphs, calculating different security metrics and providing security assessment procedures. The approach is intended to be implemented in the framework of the EU MASSIF project. The generalized architecture of the Attack Modeling and Security Evaluation Component (AMSEC), as one of the main analytical Components of SIEM systems, is outlined. The main Components and techniques for attack modeling and security Evaluation are defined. A prototype of the AMSEC is specified. Experiments with this prototype are analyzed. The prototype makes use of the scenario “Managed Enterprise Service Infrastructures”.
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common framework for attack modeling and security Evaluation in siem systems
IEEE International Conference on Green Computing and Communications, 2012Co-Authors: Igor Kotenko, Andrey ChechulinAbstract:The paper suggests a framework for attack modeling and security Evaluation in Security Information and Event Management (SIEM) systems. It is supposed that the common approach to attack modeling and security Evaluation is based on modeling of a malefactor's behavior, generating a common attack graph, calculating different security metrics and providing risk analysis procedures. Key elements of suggested architectural solutions for attack modeling and security Evaluation are using a comprehensive security repository, effective attack graph (tree) generation techniques, taking into account known and new attacks based on zero-day vulnerabilities, stochastic analytical modeling, and interactive decision support to choose preferred security solutions. The architecture of the Attack Modeling and Security Evaluation Component (AMSEC) is proposed, its interaction with other SIEM Components is described. We present the prototype of the Component and the results of experiments carried out.
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GreenCom - Common Framework for Attack Modeling and Security Evaluation in SIEM Systems
2012 IEEE International Conference on Green Computing and Communications, 2012Co-Authors: Igor Kotenko, Andrey ChechulinAbstract:The paper suggests a framework for attack modeling and security Evaluation in Security Information and Event Management (SIEM) systems. It is supposed that the common approach to attack modeling and security Evaluation is based on modeling of a malefactor's behavior, generating a common attack graph, calculating different security metrics and providing risk analysis procedures. Key elements of suggested architectural solutions for attack modeling and security Evaluation are using a comprehensive security repository, effective attack graph (tree) generation techniques, taking into account known and new attacks based on zero-day vulnerabilities, stochastic analytical modeling, and interactive decision support to choose preferred security solutions. The architecture of the Attack Modeling and Security Evaluation Component (AMSEC) is proposed, its interaction with other SIEM Components is described. We present the prototype of the Component and the results of experiments carried out.
Jan Jernigan - One of the best experts on this subject based on the ideXlab platform.
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Measurement of Compliance With New York City’s Regulations on Beverages, Physical Activity, and Screen Time in Early Child Care Centers
Preventing chronic disease, 2014Co-Authors: Laura Lessard, Catherine A. Lesesne, Jakub Kakietek, Andrew Breck, Jan Jernigan, Lillian Dunn, Cathy Nonas, Sarah Abood O’dell, Robert L. StephensAbstract:INTRODUCTION Policy interventions designed to change the nutrition environment and increase physical activity in child care centers are becoming more common, but an understanding of the implementation of these interventions is yet to be developed. The objective of this study was to explore the extent and consistency of compliance with a policy intervention designed to promote nutrition and physical activity among licensed child care centers in New York City. METHODS We used a multimethod cross-sectional approach and 2 independent Components of data collection (Center Evaluation Component and Classroom Evaluation Component). The methods were designed to evaluate the impact of regulations on beverages served, physical activity, and screen time at child care centers. We calculated compliance scores for each Evaluation Component and each regulation and percentage agreement between compliance in the center and classroom Components. RESULTS Compliance with certain requirements of the beverage regulations was high and fairly consistent between Components, whereas compliance with the physical activity regulation varied according to the data collection Component. Compliance with the regulation on amount and content of screen time was high and consistent. CONCLUSION Compliance with the physical activity regulation may be a more fluid, day-to-day issue, whereas compliance with the regulations on beverages and television viewing may be easier to control at the center level. Multiple indicators over multiple time points may provide a more complete picture of compliance - especially in the assessment of compliance with physical activity policies.
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Evaluation design of new york city s regulations on nutrition physical activity and screen time in early child care centers
Preventing Chronic Disease, 2014Co-Authors: Andrew Breck, Catherine A. Lesesne, Jakub Kakietek, Jan Jernigan, Lillian Dunn, Robert L. Stephens, Kenneth Goodman, Nicola Dawkins, Beth Dixon, Laura LessardAbstract:This article describes the multi-method cross-sectional design used to evaluate New York City Department of Health and Mental Hygiene’s regulations of nutrition, physical activity, and screen time for children aged 3 years or older in licensed group child care centers. The Center Evaluation Component collected data from a stratified random sample of 176 licensed group child care centers in New York City. Compliance with the regulations was measured through a review of center records, a facility inventory, and interviews of center directors, lead teachers, and food service staff. The Classroom Evaluation Component included an observational and biometric study of a sample of approximately 1,400 children aged 3 or 4 years attending 110 child care centers and was designed to complement the center Component at the classroom and child level. The study methodology detailed in this paper may aid researchers in designing policy Evaluation studies that can inform other jurisdictions considering similar policies.
