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Yuichiro Ono - One of the best experts on this subject based on the ideXlab platform.
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psychosocial job characteristics and smoking cessation a prospective cohort study using the demand control Support and Effort reward imbalance job stress models
Nicotine & Tobacco Research, 2010Co-Authors: Atsuhiko Ota, Takeshi Masue, Nobufumi Yasuda, Akizumi Tsutsumi, Yoshio Mino, Hiroshi Ohara, Yuichiro OnoAbstract:INTRODUCTION A prospective cohort study was conducted to examine the effects of psychosocial job characteristics on smoking cessation. Previous studies have failed to indicate consistently that psychosocial job characteristics predicted smoking cessation. Using the Demand-Control-Support (DCS) and Effort-Reward Imbalance (ERI) models simultaneously, we assessed psychosocial job characteristics more comprehensively than did previous researchers. METHODS This study was performed using a population derived from a corporate manufacturing group in Japan. At the baseline, 579 (41%) of 1,423 middle-aged (> or = 39 years) male employees were smokers. These male smokers were considered as the study subjects and were asked to undergo a follow-up examination after 2 years. Prospective analysis of the relationship between psychosocial job characteristics at the baseline and smoking cessation at the follow-up was performed. Job strain, social Support, Effort-reward imbalance, and overcommitment to work were assessed as psychosocial job characteristic factors. RESULTS The smoking cessation rate among the study subjects at the follow-up was recorded as 5% (31/579). No psychosocial job characteristic factors at the baseline were significantly related to smoking cessation at the follow-up. DISCUSSION Even with the simultaneous use of the DCS and ERI models, we did not find positive results in terms of the prospective effects of psychosocial job characteristics on smoking cessation. Considering the results of relevant previous studies and those of the present study, we suppose that psychosocial job characteristics could have essentially little effect on smoking cessation.
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psychosocial job characteristics and insomnia a prospective cohort study using the demand control Support dcs and Effort reward imbalance eri job stress models
Sleep Medicine, 2009Co-Authors: Atsuhiko Ota, Takeshi Masue, Nobufumi Yasuda, Akizumi Tsutsumi, Yoshio Mino, Hiroshi Ohara, Yuichiro OnoAbstract:Abstract Objective To examine the prospective effects of psychosocial job characteristics evaluated with the Demand-Control-Support (DCS) and Effort–Reward Imbalance (ERI) models on insomnia. Methods A prospective cohort study with a two-year observation was performed. The subjects were 1022 middle-aged (⩾39 years) Japanese workers. The following associations were analyzed: high job strain, low social Support, Effort–reward imbalance, and overcommitment to work at the baseline with self-reported persistence and future onset of insomnia. Results Among those who were insomniacs at the baseline ( N =292), low social Support [adjusted odds ratio (95% CI): 2.00 (1.18, 3.40)] and Effort–reward imbalance [2.40 (1.13, 5.10)] at the baseline had a significant relationship to insomnia at the follow-up. Among those who were not insomniacs at the baseline ( N =730), overcommitment to work [1.75 (1.16, 2.66)] and high job strain [1.72 (1.06, 2.79)] at the baseline were associated with insomnia at follow-up. Conclusions Prospective effects of psychosocial job characteristics on insomnia differed between its persistence and future onset. Proportionate reward for work Effort and sufficient Support at work assist recovery from insomnia, while overcommitment to work and high job strain cause future onset of insomnia.
Atsuhiko Ota - One of the best experts on this subject based on the ideXlab platform.
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psychosocial job characteristics and smoking cessation a prospective cohort study using the demand control Support and Effort reward imbalance job stress models
Nicotine & Tobacco Research, 2010Co-Authors: Atsuhiko Ota, Takeshi Masue, Nobufumi Yasuda, Akizumi Tsutsumi, Yoshio Mino, Hiroshi Ohara, Yuichiro OnoAbstract:INTRODUCTION A prospective cohort study was conducted to examine the effects of psychosocial job characteristics on smoking cessation. Previous studies have failed to indicate consistently that psychosocial job characteristics predicted smoking cessation. Using the Demand-Control-Support (DCS) and Effort-Reward Imbalance (ERI) models simultaneously, we assessed psychosocial job characteristics more comprehensively than did previous researchers. METHODS This study was performed using a population derived from a corporate manufacturing group in Japan. At the baseline, 579 (41%) of 1,423 middle-aged (> or = 39 years) male employees were smokers. These male smokers were considered as the study subjects and were asked to undergo a follow-up examination after 2 years. Prospective analysis of the relationship between psychosocial job characteristics at the baseline and smoking cessation at the follow-up was performed. Job strain, social Support, Effort-reward imbalance, and overcommitment to work were assessed as psychosocial job characteristic factors. RESULTS The smoking cessation rate among the study subjects at the follow-up was recorded as 5% (31/579). No psychosocial job characteristic factors at the baseline were significantly related to smoking cessation at the follow-up. DISCUSSION Even with the simultaneous use of the DCS and ERI models, we did not find positive results in terms of the prospective effects of psychosocial job characteristics on smoking cessation. Considering the results of relevant previous studies and those of the present study, we suppose that psychosocial job characteristics could have essentially little effect on smoking cessation.
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psychosocial job characteristics and insomnia a prospective cohort study using the demand control Support dcs and Effort reward imbalance eri job stress models
Sleep Medicine, 2009Co-Authors: Atsuhiko Ota, Takeshi Masue, Nobufumi Yasuda, Akizumi Tsutsumi, Yoshio Mino, Hiroshi Ohara, Yuichiro OnoAbstract:Abstract Objective To examine the prospective effects of psychosocial job characteristics evaluated with the Demand-Control-Support (DCS) and Effort–Reward Imbalance (ERI) models on insomnia. Methods A prospective cohort study with a two-year observation was performed. The subjects were 1022 middle-aged (⩾39 years) Japanese workers. The following associations were analyzed: high job strain, low social Support, Effort–reward imbalance, and overcommitment to work at the baseline with self-reported persistence and future onset of insomnia. Results Among those who were insomniacs at the baseline ( N =292), low social Support [adjusted odds ratio (95% CI): 2.00 (1.18, 3.40)] and Effort–reward imbalance [2.40 (1.13, 5.10)] at the baseline had a significant relationship to insomnia at the follow-up. Among those who were not insomniacs at the baseline ( N =730), overcommitment to work [1.75 (1.16, 2.66)] and high job strain [1.72 (1.06, 2.79)] at the baseline were associated with insomnia at follow-up. Conclusions Prospective effects of psychosocial job characteristics on insomnia differed between its persistence and future onset. Proportionate reward for work Effort and sufficient Support at work assist recovery from insomnia, while overcommitment to work and high job strain cause future onset of insomnia.
O. Pisano - One of the best experts on this subject based on the ideXlab platform.
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PDV – a PVSS Data Viewer Application
2010Co-Authors: D. Hoffmann, O. PisanoAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general.
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PDV – a PVSS Data Viewer Application
2010Co-Authors: D. Hoffmann, O. PisanoAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general.
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PVSS Data Viewer – an application to retrieve and visualise PVSS data for LHC
2009Co-Authors: O. Pisano, D. HoffmannAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general. Other important keys for the design were independence from any existing PVSS installation and universality regarding computer operating systems or user environments. The universality condition has led to the choice of Java as programming language, which also allows to start applications with WebStart technology right from an HTML page, seen by the user as just a click away on the web. The application retrieves and decompresses PVSS data from the database, while optimisingil transferred data bandwidth for query periods of one hour as well as for one year. Data queries are displayed as 2D plot graphics on the screen with time on the abscissa by default, using the open source graphics chart library JChart2D. Different ordinates can be used for groups of values; a default grouping is made according to the “physical unit” associated with a value in the database. Optionally the data can be shown as 1D “projection” or “value frequency histogram”. Several values can be shown in a plot correlating them two by two. A data query can be saved as vector or bitmap graphics or be exported as a comma separated value list in plain text format for use by other applications. An export to the proprietary format of the ROOT analysis platform has been implemeted to satisfy the specific needs of the high energy physics community. As LHC experiments typically record millions of data values (for example 5·106 in the case of Atlas), the search and selection mechanism of data values for a query is not trivial, and efficient tools have been developed to assist the user with this task without compromising the general approach of representing data from all detectors in a common scheme. The user has several ways to select values from a sorted tree or regular expression interface. Furthermore, detector or user specific ways to select data values can be implemented by the user in form of code plugins. Plugin code can also be used to build up parts of the data value tree, to export or to select data. Plugin interfaces to implement detector specific, geographic representations of data values for selection as well as for display will be provided at a later stage. All data queries are kept in a ring buffer similar to the well known “last documents” menues in commercial applications, and allow the user to easily access queries again from a previous work session. In addition a bookmark collection can be constituted, which has the advantage of being persistent and has the vocation of being exchanged with other users. The exchange of such query configurations, which are systematically stored in XML format, among a big collaboration like Atlas needs a special database, beyond traditional file exchange through email or web pages. Code management in the context of thousands of potential users is an important issue that had to be addressed during development of the application. We will briefly present the tools and methods that have been chosen for that. PDV is open source software. The generic approach of implementation of the PDV application has paid off, as it has grown from a detector specific tool to one of the standard tools for PVSS data viewing in Atlas. Three subdetectors have provided their own plugin codes up to now. The number of its users is still growing steadily Development is not finished, although it has already made its way into standard expert and shiftcrew instructions.
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PVSS Data Viewer – an application to retrieve and visualise PVSS data for LHC
2009Co-Authors: O. Pisano, D. HoffmannAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general. Other important keys for the design were independence from any existing PVSS installation and universality regarding computer operating systems or user environments. The universality condition has led to the choice of Java as programming language, which also allows to start applications with WebStart technology right from an HTML page, seen by the user as just a click away on the web. The application retrieves and decompresses PVSS data from the database, while optimisingil transferred data bandwidth for query periods of one hour as well as for one year. Data queries are displayed as 2D plot graphics on the screen with time on the abscissa by default, using the open source graphics chart library JChart2D. Different ordinates can be used for groups of values; a default grouping is made according to the “physical unit” associated with a value in the database. Optionally the data can be shown as 1D “projection” or “value frequency histogram”. Several values can be shown in a plot correlating them two by two. A data query can be saved as vector or bitmap graphics or be exported as a comma separated value list in plain text format for use by other applications. An export to the proprietary format of the ROOT analysis platform has been implemeted to satisfy the specific needs of the high energy physics community. As LHC experiments typically record millions of data values (for example 5·106 in the case of Atlas), the search and selection mechanism of data values for a query is not trivial, and efficient tools have been developed to assist the user with this task without compromising the general approach of representing data from all detectors in a common scheme. The user has several ways to select values from a sorted tree or regular expression interface. Furthermore, detector or user specific ways to select data values can be implemented by the user in form of code plugins. Plugin code can also be used to build up parts of the data value tree, to export or to select data. Plugin interfaces to implement detector specific, geographic representations of data values for selection as well as for display will be provided at a later stage. All data queries are kept in a ring buffer similar to the well known “last documents” menues in commercial applications, and allow the user to easily access queries again from a previous work session. In addition a bookmark collection can be constituted, which has the advantage of being persistent and has the vocation of being exchanged with other users. The exchange of such query configurations, which are systematically stored in XML format, among a big collaboration like Atlas needs a special database, beyond traditional file exchange through email or web pages. Code management in the context of thousands of potential users is an important issue that had to be addressed during development of the application. We will briefly present the tools and methods that have been chosen for that. PDV is open source software. The generic approach of implementation of the PDV application has paid off, as it has grown from a detector specific tool to one of the standard tools for PVSS data viewing in Atlas. Three subdetectors have provided their own plugin codes up to now. The number of its users is still growing steadily Development is not finished, although it has already made its way into standard expert and shiftcrew instructions.
D. Hoffmann - One of the best experts on this subject based on the ideXlab platform.
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PDV – a PVSS Data Viewer Application
2010Co-Authors: D. Hoffmann, O. PisanoAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general.
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PDV – a PVSS Data Viewer Application
2010Co-Authors: D. Hoffmann, O. PisanoAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general.
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PVSS Data Viewer – an application to retrieve and visualise PVSS data for LHC
2009Co-Authors: O. Pisano, D. HoffmannAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general. Other important keys for the design were independence from any existing PVSS installation and universality regarding computer operating systems or user environments. The universality condition has led to the choice of Java as programming language, which also allows to start applications with WebStart technology right from an HTML page, seen by the user as just a click away on the web. The application retrieves and decompresses PVSS data from the database, while optimisingil transferred data bandwidth for query periods of one hour as well as for one year. Data queries are displayed as 2D plot graphics on the screen with time on the abscissa by default, using the open source graphics chart library JChart2D. Different ordinates can be used for groups of values; a default grouping is made according to the “physical unit” associated with a value in the database. Optionally the data can be shown as 1D “projection” or “value frequency histogram”. Several values can be shown in a plot correlating them two by two. A data query can be saved as vector or bitmap graphics or be exported as a comma separated value list in plain text format for use by other applications. An export to the proprietary format of the ROOT analysis platform has been implemeted to satisfy the specific needs of the high energy physics community. As LHC experiments typically record millions of data values (for example 5·106 in the case of Atlas), the search and selection mechanism of data values for a query is not trivial, and efficient tools have been developed to assist the user with this task without compromising the general approach of representing data from all detectors in a common scheme. The user has several ways to select values from a sorted tree or regular expression interface. Furthermore, detector or user specific ways to select data values can be implemented by the user in form of code plugins. Plugin code can also be used to build up parts of the data value tree, to export or to select data. Plugin interfaces to implement detector specific, geographic representations of data values for selection as well as for display will be provided at a later stage. All data queries are kept in a ring buffer similar to the well known “last documents” menues in commercial applications, and allow the user to easily access queries again from a previous work session. In addition a bookmark collection can be constituted, which has the advantage of being persistent and has the vocation of being exchanged with other users. The exchange of such query configurations, which are systematically stored in XML format, among a big collaboration like Atlas needs a special database, beyond traditional file exchange through email or web pages. Code management in the context of thousands of potential users is an important issue that had to be addressed during development of the application. We will briefly present the tools and methods that have been chosen for that. PDV is open source software. The generic approach of implementation of the PDV application has paid off, as it has grown from a detector specific tool to one of the standard tools for PVSS data viewing in Atlas. Three subdetectors have provided their own plugin codes up to now. The number of its users is still growing steadily Development is not finished, although it has already made its way into standard expert and shiftcrew instructions.
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PVSS Data Viewer – an application to retrieve and visualise PVSS data for LHC
2009Co-Authors: O. Pisano, D. HoffmannAbstract:The four main LHC experiments and the accelerator department have agreed to use a unique commercial SCADA system, PVSS II from ETM (Austria) for detector and accelerator slow control purposes, in order to ease connection and exchange of data among all collaborators and to minimise central Support Effort for commonly used software and LHC specific libraries provided by the CERN IT department. Knowing this, the PVSS Data Viewer (PDV) had originally been developed to access environment and control data of the Pixel detector of the ATLAS experiment, with an Effort to be sufficiently generic to provide access to data of other subdetectors and even data of other experiments, or PVSS systems in general. Other important keys for the design were independence from any existing PVSS installation and universality regarding computer operating systems or user environments. The universality condition has led to the choice of Java as programming language, which also allows to start applications with WebStart technology right from an HTML page, seen by the user as just a click away on the web. The application retrieves and decompresses PVSS data from the database, while optimisingil transferred data bandwidth for query periods of one hour as well as for one year. Data queries are displayed as 2D plot graphics on the screen with time on the abscissa by default, using the open source graphics chart library JChart2D. Different ordinates can be used for groups of values; a default grouping is made according to the “physical unit” associated with a value in the database. Optionally the data can be shown as 1D “projection” or “value frequency histogram”. Several values can be shown in a plot correlating them two by two. A data query can be saved as vector or bitmap graphics or be exported as a comma separated value list in plain text format for use by other applications. An export to the proprietary format of the ROOT analysis platform has been implemeted to satisfy the specific needs of the high energy physics community. As LHC experiments typically record millions of data values (for example 5·106 in the case of Atlas), the search and selection mechanism of data values for a query is not trivial, and efficient tools have been developed to assist the user with this task without compromising the general approach of representing data from all detectors in a common scheme. The user has several ways to select values from a sorted tree or regular expression interface. Furthermore, detector or user specific ways to select data values can be implemented by the user in form of code plugins. Plugin code can also be used to build up parts of the data value tree, to export or to select data. Plugin interfaces to implement detector specific, geographic representations of data values for selection as well as for display will be provided at a later stage. All data queries are kept in a ring buffer similar to the well known “last documents” menues in commercial applications, and allow the user to easily access queries again from a previous work session. In addition a bookmark collection can be constituted, which has the advantage of being persistent and has the vocation of being exchanged with other users. The exchange of such query configurations, which are systematically stored in XML format, among a big collaboration like Atlas needs a special database, beyond traditional file exchange through email or web pages. Code management in the context of thousands of potential users is an important issue that had to be addressed during development of the application. We will briefly present the tools and methods that have been chosen for that. PDV is open source software. The generic approach of implementation of the PDV application has paid off, as it has grown from a detector specific tool to one of the standard tools for PVSS data viewing in Atlas. Three subdetectors have provided their own plugin codes up to now. The number of its users is still growing steadily Development is not finished, although it has already made its way into standard expert and shiftcrew instructions.
Kurt Mitteregger - One of the best experts on this subject based on the ideXlab platform.
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Linking customisation of ERP systems to Support Effort: an empirical study
Enterprise Information Systems, 2014Co-Authors: Stefan Koch, Kurt MittereggerAbstract:The amount of customisation to an enterprise resource planning ERP system has always been a major concern in the context of the implementation. This article focuses on the phase of maintenance and presents an empirical study about the relationship between the amount of customising and the resulting Support Effort. We establish a structural equation modelling model that explains Support Effort using customisation Effort, organisational characteristics and scope of implementation. The findings using data from an ERP provider show that there is a statistically significant effect: with an increasing amount of customisation, the quantity of telephone calls to Support increases, as well as the duration of each call.