Neighborhood contextual factors, maternal smoking, and birth outcomes: multilevel analysis of the South Carolina PRAMS survey, 2000-2003.

Science.gov (United States)

Nkansah-Amankra, Stephen

2010-08-01

Previous studies investigating relationships among neighborhood contexts, maternal smoking behaviors, and birth outcomes (low birth weight [LBW] or preterm births) have produced mixed results. We evaluated independent effects of neighborhood contexts on maternal smoking behaviors and risks of LBW or preterm birth outcomes among mothers participating in the South Carolina Pregnancy Risk Assessment and Monitoring System (PRAMS) survey, 2000-2003. The PRAMS data were geocoded to 2000 U.S. Census data to create a multilevel data structure. We used a multilevel regression analysis (SAS PROC GLIMMIX) to estimate odds ratios (OR) and corresponding 95% confidence intervals (CI). In multivariable logistic regression models, high poverty, predominantly African American neighborhoods, upper quartiles of low education, and second quartile of neighborhood household crowding were significantly associated with LBW. However, only mothers resident in predominantly African American Census tract areas were statistically significantly at an increased risk of delivering preterm (OR 2.2, 95% CI 1.29-3.78). In addition, mothers resident in medium poverty neighborhoods remained modestly associated with smoking after adjustment for maternal-level covariates. The results also indicated that maternal smoking has more consistent effects on LBW than preterm births, particularly for mothers living in deprived neighborhoods. Interventions seeking to improve maternal and child health by reducing smoking during pregnancy need to engage specific community factors that encourage maternal quitting behaviors and reduce smoking relapse rates. Inclusion of maternal-level covariates in neighborhood models without careful consideration of the causal pathway might produce misleading interpretation of the results.

Study of risk factors affecting both hypertension and obesity outcome by using multivariate multilevel logistic regression models

Directory of Open Access Journals (Sweden)

Sepedeh Gholizadeh

2016-07-01

Full Text Available Background:Obesity and hypertension are the most important non-communicable diseases thatin many studies, the prevalence and their risk factors have been performedin each geographic region univariately.Study of factors affecting both obesity and hypertension may have an important role which to be adrressed in this study. Materials &Methods:This cross-sectional study was conducted on 1000 men aged 20-70 living in Bushehr province. Blood pressure was measured three times and the average of them was considered as one of the response variables. Hypertension was defined as systolic blood pressure ≥140 (and-or diastolic blood pressure ≥90 and obesity was defined as body mass index ≥25. Data was analyzed by using multilevel, multivariate logistic regression model by MlwiNsoftware. Results:Intra class correlations in cluster level obtained 33% for high blood pressure and 37% for obesity, so two level model was fitted to data. The prevalence of obesity and hypertension obtained 43.6% (0.95%CI; 40.6-46.5, 29.4% (0.95%CI; 26.6-32.1 respectively. Age, gender, smoking, hyperlipidemia, diabetes, fruit and vegetable consumption and physical activity were the factors affecting blood pressure (p≤0.05. Age, gender, hyperlipidemia, diabetes, fruit and vegetable consumption, physical activity and place of residence are effective on obesity (p≤0.05. Conclusion: The multilevel models with considering levels distribution provide more precise estimates. As regards obesity and hypertension are the major risk factors for cardiovascular disease, by knowing the high-risk groups we can d careful planning to prevention of non-communicable diseases and promotion of society health.

9th state of logistics survey for South Africa: connecting neighbours - engaging the world

CSIR Research Space (South Africa)

Viljoen, N

2013-06-01

Full Text Available -1 Collaboration between CSIR, Imperial logistics and Stellenbosch University 9th state of logistics survey for South Africa: connecting neighbours - engaging the world Viljoen N, Bean W. Havenga J. Simpson Z. Jankauskaite Z. Gounder S. Steyn W. de Jonge G...

Improvement of the Work Environment and Work-Related Stress: A Cross-Sectional Multilevel Study of a Nationally Representative Sample of Japanese Workers.

Science.gov (United States)

Watanabe, Kazuhiro; Tabuchi, Takahiro; Kawakami, Norito

2017-03-01

This cross-sectional multilevel study aimed to investigate the relationship between improvement of the work environment and work-related stress in a nationally representative sample in Japan. The study was based on a national survey that randomly sampled 1745 worksites and 17,500 nested employees. The survey asked the worksites whether improvements of the work environment were conducted; and it asked the employees to report the number of work-related stresses they experienced. Multilevel multinominal logistic and linear regression analyses were conducted. Improvement of the work environment was not significantly associated with any level of work-related stress. Among men, it was significantly and negatively associated with the severe level of work-related stress. The association was not significant among women. Improvements to work environments may be associated with reduced work-related stress among men nationwide in Japan.

Personal, social, and game-related correlates of active and non-active gaming among dutch gaming adolescents: survey-based multivariable, multilevel logistic regression analyses.

Science.gov (United States)

Simons, Monique; de Vet, Emely; Chinapaw, Mai Jm; de Boer, Michiel; Seidell, Jacob C; Brug, Johannes

2014-04-04

Playing video games contributes substantially to sedentary behavior in youth. A new generation of video games-active games-seems to be a promising alternative to sedentary games to promote physical activity and reduce sedentary behavior. At this time, little is known about correlates of active and non-active gaming among adolescents. The objective of this study was to examine potential personal, social, and game-related correlates of both active and non-active gaming in adolescents. A survey assessing game behavior and potential personal, social, and game-related correlates was conducted among adolescents (12-16 years, N=353) recruited via schools. Multivariable, multilevel logistic regression analyses, adjusted for demographics (age, sex and educational level of adolescents), were conducted to examine personal, social, and game-related correlates of active gaming ≥1 hour per week (h/wk) and non-active gaming >7 h/wk. Active gaming ≥1 h/wk was significantly associated with a more positive attitude toward active gaming (OR 5.3, CI 2.4-11.8; Pgames (OR 0.30, CI 0.1-0.6; P=.002), a higher score on habit strength regarding gaming (OR 1.9, CI 1.2-3.2; P=.008) and having brothers/sisters (OR 6.7, CI 2.6-17.1; Pgame engagement (OR 0.95, CI 0.91-0.997; P=.04). Non-active gaming >7 h/wk was significantly associated with a more positive attitude toward non-active gaming (OR 2.6, CI 1.1-6.3; P=.035), a stronger habit regarding gaming (OR 3.0, CI 1.7-5.3; P7 h/wk. Active gaming is most strongly (negatively) associated with attitude with respect to non-active games, followed by observed active game behavior of brothers and sisters and attitude with respect to active gaming (positive associations). On the other hand, non-active gaming is most strongly associated with observed non-active game behavior of friends, habit strength regarding gaming and attitude toward non-active gaming (positive associations). Habit strength was a correlate of both active and non-active gaming

Personal, Social, and Game-Related Correlates of Active and Non-Active Gaming Among Dutch Gaming Adolescents: Survey-Based Multivariable, Multilevel Logistic Regression Analyses

Science.gov (United States)

de Vet, Emely; Chinapaw, Mai JM; de Boer, Michiel; Seidell, Jacob C; Brug, Johannes

2014-01-01

Background Playing video games contributes substantially to sedentary behavior in youth. A new generation of video games—active games—seems to be a promising alternative to sedentary games to promote physical activity and reduce sedentary behavior. At this time, little is known about correlates of active and non-active gaming among adolescents. Objective The objective of this study was to examine potential personal, social, and game-related correlates of both active and non-active gaming in adolescents. Methods A survey assessing game behavior and potential personal, social, and game-related correlates was conducted among adolescents (12-16 years, N=353) recruited via schools. Multivariable, multilevel logistic regression analyses, adjusted for demographics (age, sex and educational level of adolescents), were conducted to examine personal, social, and game-related correlates of active gaming ≥1 hour per week (h/wk) and non-active gaming >7 h/wk. Results Active gaming ≥1 h/wk was significantly associated with a more positive attitude toward active gaming (OR 5.3, CI 2.4-11.8; Pgames (OR 0.30, CI 0.1-0.6; P=.002), a higher score on habit strength regarding gaming (OR 1.9, CI 1.2-3.2; P=.008) and having brothers/sisters (OR 6.7, CI 2.6-17.1; Pgame engagement (OR 0.95, CI 0.91-0.997; P=.04). Non-active gaming >7 h/wk was significantly associated with a more positive attitude toward non-active gaming (OR 2.6, CI 1.1-6.3; P=.035), a stronger habit regarding gaming (OR 3.0, CI 1.7-5.3; P7 h/wk. Active gaming is most strongly (negatively) associated with attitude with respect to non-active games, followed by observed active game behavior of brothers and sisters and attitude with respect to active gaming (positive associations). On the other hand, non-active gaming is most strongly associated with observed non-active game behavior of friends, habit strength regarding gaming and attitude toward non-active gaming (positive associations). Habit strength was a

Exploring improvements in patient logistics in Dutch hospitals with a survey

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van Lent Wineke AM

2012-08-01

Full Text Available Abstract Background Research showed that promising approaches such as benchmarking, operations research, lean management and six sigma, could be adopted to improve patient logistics in healthcare. To our knowledge, little research has been conducted to obtain an overview on the use, combination and effects of approaches to improve patient logistics in hospitals. We therefore examined the approaches and tools used to improve patient logistics in Dutch hospitals, the reported effects of these approaches on performance, the applied support structure and the methods used to evaluate the effects. Methods A survey among experts on patient logistics in 94 Dutch hospitals. The survey data were analysed using cross tables. Results Forty-eight percent of all hospitals participated. Ninety-eight percent reported to have used multiple approaches, 39% of them used five or more approaches. Care pathways were the preferred approach by 43% of the hospitals, followed by business process re-engineering and lean six sigma (both 13%. Flowcharts were the most commonly used tool, they were used on a regular basis by 94% of the hospitals. Less than 10% of the hospitals used data envelopment analysis and critical path analysis on a regular basis. Most hospitals (68% relied on external support for process analyses and education on patient logistics, only 24% had permanent internal training programs on patient logistics. Approximately 50% of the hospitals that evaluated the effects of approaches on efficiency, throughput times and financial results, reported that they had accomplished their goals. Goal accomplishment in general hospitals ranged from 63% to 67%, in academic teaching hospitals from 0% to 50%, and in teaching hospitals from 25% to 44%. More than 86% performed an evaluation, 53% performed a post-intervention measurement. Conclusions Patient logistics appeared to be a rather new subject as most hospitals had not selected a single approach, they relied on

Exploring improvements in patient logistics in Dutch hospitals with a survey

Science.gov (United States)

2012-01-01

Background Research showed that promising approaches such as benchmarking, operations research, lean management and six sigma, could be adopted to improve patient logistics in healthcare. To our knowledge, little research has been conducted to obtain an overview on the use, combination and effects of approaches to improve patient logistics in hospitals. We therefore examined the approaches and tools used to improve patient logistics in Dutch hospitals, the reported effects of these approaches on performance, the applied support structure and the methods used to evaluate the effects. Methods A survey among experts on patient logistics in 94 Dutch hospitals. The survey data were analysed using cross tables. Results Forty-eight percent of all hospitals participated. Ninety-eight percent reported to have used multiple approaches, 39% of them used five or more approaches. Care pathways were the preferred approach by 43% of the hospitals, followed by business process re-engineering and lean six sigma (both 13%). Flowcharts were the most commonly used tool, they were used on a regular basis by 94% of the hospitals. Less than 10% of the hospitals used data envelopment analysis and critical path analysis on a regular basis. Most hospitals (68%) relied on external support for process analyses and education on patient logistics, only 24% had permanent internal training programs on patient logistics. Approximately 50% of the hospitals that evaluated the effects of approaches on efficiency, throughput times and financial results, reported that they had accomplished their goals. Goal accomplishment in general hospitals ranged from 63% to 67%, in academic teaching hospitals from 0% to 50%, and in teaching hospitals from 25% to 44%. More than 86% performed an evaluation, 53% performed a post-intervention measurement. Conclusions Patient logistics appeared to be a rather new subject as most hospitals had not selected a single approach, they relied on external support and they did

Exploring improvements in patient logistics in Dutch hospitals with a survey.

Science.gov (United States)

van Lent, Wineke A M; Sanders, E Marloes; van Harten, Wim H

2012-08-01

Research showed that promising approaches such as benchmarking, operations research, lean management and six sigma, could be adopted to improve patient logistics in healthcare. To our knowledge, little research has been conducted to obtain an overview on the use, combination and effects of approaches to improve patient logistics in hospitals. We therefore examined the approaches and tools used to improve patient logistics in Dutch hospitals, the reported effects of these approaches on performance, the applied support structure and the methods used to evaluate the effects. A survey among experts on patient logistics in 94 Dutch hospitals. The survey data were analysed using cross tables. Forty-eight percent of all hospitals participated. Ninety-eight percent reported to have used multiple approaches, 39% of them used five or more approaches. Care pathways were the preferred approach by 43% of the hospitals, followed by business process re-engineering and lean six sigma (both 13%). Flowcharts were the most commonly used tool, they were used on a regular basis by 94% of the hospitals. Less than 10% of the hospitals used data envelopment analysis and critical path analysis on a regular basis. Most hospitals (68%) relied on external support for process analyses and education on patient logistics, only 24% had permanent internal training programs on patient logistics. Approximately 50% of the hospitals that evaluated the effects of approaches on efficiency, throughput times and financial results, reported that they had accomplished their goals. Goal accomplishment in general hospitals ranged from 63% to 67%, in academic teaching hospitals from 0% to 50%, and in teaching hospitals from 25% to 44%. More than 86% performed an evaluation, 53% performed a post-intervention measurement. Patient logistics appeared to be a rather new subject as most hospitals had not selected a single approach, they relied on external support and they did not have permanent training programs

Power and type I error of local fit statistics in multilevel latent class analysis

NARCIS (Netherlands)

Nagelkerke, E.; Oberski, D.L.; Vermunt, J.K.

2017-01-01

In the social and behavioral sciences, variables are often categorical and people are often nested in groups. Models for such data, such as multilevel logistic regression or the multilevel latent class model, should account for not only the categorical nature of the variables, but also the nested

Cost Calculation Model for Logistics Service Providers

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Zoltán Bokor

2012-11-01

Full Text Available The exact calculation of logistics costs has become a real challenge in logistics and supply chain management. It is essential to gain reliable and accurate costing information to attain efficient resource allocation within the logistics service provider companies. Traditional costing approaches, however, may not be sufficient to reach this aim in case of complex and heterogeneous logistics service structures. So this paper intends to explore the ways of improving the cost calculation regimes of logistics service providers and show how to adopt the multi-level full cost allocation technique in logistics practice. After determining the methodological framework, a sample cost calculation scheme is developed and tested by using estimated input data. Based on the theoretical findings and the experiences of the pilot project it can be concluded that the improved costing model contributes to making logistics costing more accurate and transparent. Moreover, the relations between costs and performances also become more visible, which enhances the effectiveness of logistics planning and controlling significantly

Relationship Between Logistics Service's Perceived Value and Outsourcing of Logistics Activities

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Klavdij Logožar

2006-07-01

Full Text Available Outsourcing has become increasingly popular in recentyears, and is often quoted as a means of coping with rapidchanges in technology and in the business environment. Thescope of third -party logistics may range from a relatively limitedcombination of activities (e. g. transportation and warehousingto a comprehensive set of logistics services. The authorsfirst define the reasons for outsourcing with the emphasis onbusiness logistics. They particularly point out the motivationsfor logistics outsourcing, the possibilities of logistics outsourcing,and they present the process of outsourcing partner selectionas well. Finally, they analyze the specific issues of logisticsservice's perceived value in outsourcing logistics activities onthe basis of the survey carried out in Slovenian companies. Thepurpose of the survey was to measure the customers' perceptionof different characteristics of logistics provider which can be decisivewhen manufacturing firms are trying to make a decisionwhether to outsource and which logistics provider to select. Thepaper creates a framework for the selection of the importantand perceived characteristics of logistics provider relevant tocustomer in the process of the logistics supplier selection.

Comprehensive Logistics

CERN Document Server

Gudehus, Timm

2012-01-01

Modern logistics comprises operative logistics, analytical logistics and management of logistic networks. Central task of operative logistics is the efficient supply of required goods at the right place within the right time. Tasks of analytical logistics are designing optimal networks and systems, developing strategies for planning, scheduling and operation, and organizing efficient order and performance processes. Logistic management plans, implements and operates logistic networks and schedules orders, stocks and resources. This reference-book offers a unique survey of modern logistics. It contains proven strategies, rules and tools for the solution of a multitude of logistic problems. The analytically derived algorithms and formulas can be used for the computer-based planning of logistic systems and for the dynamic scheduling of orders and resources in supply networks. They enable significant improvements of performance, quality and costs. Their application is demonstrated by several examples from industr...

Logistics in Estonian business companies

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A. Kiisler

2008-12-01

Full Text Available The article describes logistics survey in Estonia carried out in 2007 as a part of the LogOnBaltic project. The level of logistics in Estonian manufacturing, trading and logistics companies is explored through logistics costs, performance indicators, outsourcing, ICT use and logistics self-estimation of the companies responded. Responses from 186 Estonian companies were gathered through a web-based survey (38% of manufacturing, 38% of trading and 24% of logistics sector. Logistics costs as the percentage of turnover make in average 13.8% in manufacturing and 13.3% in trading. Transportation and inventory carrying cost form around 70% of overall logistics costs. Considering the logistics indicators surveyed, Estonian companies show up with relatively low perfect order fulfillment rates, short customer order fulfillment cycles and effective management of cash flows. The most widely outsourced logistics function is international transportation followed by domestic transportation, freight forwarding and reverse logistics. By 2010, the outsourcing of IT systems in logistics followed by inventory management, warehousing and product customization is expected to increase more substantially. The awareness of logistics importance is still low among Estonian companies. Only 27–44% of those agree that logistics has a considerable impact on profitability, competitive advantage, top management or customer service level.

Development of a multilevel health and safety climate survey tool within a mining setting.

Science.gov (United States)

Parker, Anthony W; Tones, Megan J; Ritchie, Gabrielle E

2017-09-01

This study aimed to design, implement and evaluate the reliability and validity of a multifactorial and multilevel health and safety climate survey (HSCS) tool with utility in the Australian mining setting. An 84-item questionnaire was developed and pilot tested on a sample of 302 Australian miners across two open cut sites. A 67-item, 10 factor solution was obtained via exploratory factor analysis (EFA) representing prioritization and attitudes to health and safety across multiple domains and organizational levels. Each factor demonstrated a high level of internal reliability, and a series of ANOVAs determined a high level of consistency in responses across the workforce, and generally irrespective of age, experience or job category. Participants tended to hold favorable views of occupational health and safety (OH&S) climate at the management, supervisor, workgroup and individual level. The survey tool demonstrated reliability and validity for use within an open cut Australian mining setting and supports a multilevel, industry specific approach to OH&S climate. Findings suggested a need for mining companies to maintain high OH&S standards to minimize risks to employee health and safety. Future research is required to determine the ability of this measure to predict OH&S outcomes and its utility within other mine settings. As this tool integrates health and safety, it may have benefits for assessment, monitoring and evaluation in the industry, and improving the understanding of how health and safety climate interact at multiple levels to influence OH&S outcomes. Copyright © 2017 National Safety Council and Elsevier Ltd. All rights reserved.

Improving survey response rates from parents in school-based research using a multi-level approach.

Science.gov (United States)

Schilpzand, Elizabeth J; Sciberras, Emma; Efron, Daryl; Anderson, Vicki; Nicholson, Jan M

2015-01-01

While schools can provide a comprehensive sampling frame for community-based studies of children and their families, recruitment is challenging. Multi-level approaches which engage multiple school stakeholders have been recommended but few studies have documented their effects. This paper compares the impact of a standard versus enhanced engagement approach on multiple indicators of recruitment: parent response rates, response times, reminders required and sample characteristics. Parents and teachers were distributed a brief screening questionnaire as a first step for recruitment to a longitudinal study, with two cohorts recruited in consecutive years (cohort 1 2011, cohort 2 2012). For cohort 2, additional engagement strategies included the use of pre-notification postcards, improved study materials, and recruitment progress graphs provided to school staff. Chi-square and t-tests were used to examine cohort differences. Compared to cohort 1, a higher proportion of cohort 2 parents responded to the survey (76% versus 69%; p value of investing in a relatively simple multi-level strategy to maximise parent response rates, and potentially reduce recruitment time and costs.

Design of shared unit-dose drug distribution network using multi-level particle swarm optimization.

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Chen, Linjie; Monteiro, Thibaud; Wang, Tao; Marcon, Eric

2018-03-01

Unit-dose drug distribution systems provide optimal choices in terms of medication security and efficiency for organizing the drug-use process in large hospitals. As small hospitals have to share such automatic systems for economic reasons, the structure of their logistic organization becomes a very sensitive issue. In the research reported here, we develop a generalized multi-level optimization method - multi-level particle swarm optimization (MLPSO) - to design a shared unit-dose drug distribution network. Structurally, the problem studied can be considered as a type of capacitated location-routing problem (CLRP) with new constraints related to specific production planning. This kind of problem implies that a multi-level optimization should be performed in order to minimize logistic operating costs. Our results show that with the proposed algorithm, a more suitable modeling framework, as well as computational time savings and better optimization performance are obtained than that reported in the literature on this subject.

The logic of logistics theory, algorithms, and applications for logistics and supply chain management

CERN Document Server

Simchi-Levi, David; Bramel, Julien

2005-01-01

Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state of the art in the science of logistics management. As a result, the authors have written a timely and authoritative survey of this field that many practitioners and researchers will find makes an invaluable companion to their work.

Parental supply of alcohol and adolescent drinking: a multilevel analysis of nationally representative data.

Science.gov (United States)

Chan, Gary C K; Leung, Janni; Connor, Jason; Hall, Wayne; Kelly, Adrian B

2017-06-09

Existing research on parental supply of alcohol analyses the effects of self-reported parental supply on adolescent drinking using individual level data. This study examined the contextual effect of parental supply of alcohol on adolescent alcohol use by examining the association between the prevalence of parental supply in each Australian state and adolescent alcohol use using a multilevel analytic framework. Adolescent samples (Age: 12-17) were drawn from the four National Drug Strategy Household Surveys (2004, 2007, 2010 and 2013; N = 6803). The prevalence of parental supply of alcohol, defined as the weighted percentage of sample who reported obtaining alcohol from their parents, was estimated in each state and territory across the four surveys. Three multilevel logistic regressions were used to examine the contextual effects of parental supply prevalence on adolescents' alcohol use in the past 12 months, weekly drinking and heavy drinking. Overall, adolescents' rates of past 12 months alcohol use, heavy drinking and weekly drinking between 2004 and 2013 were 40.1, 14.4 and 6.4% respectively. The prevalence of parental supply was significantly associated with past 12 months alcohol use (OR = 1.06, p supply. A high prevalence of parental supply in a region was associated with heavier adolescent drinking, regardless of whether adolescents primarily obtained their alcohol from their own parents.

Availability of convenience stores and adolescent alcohol use in Taiwan: a multi-level analysis of national surveys.

Science.gov (United States)

Wang, Shi-Heng; Lin, I-Chin; Chen, Chuan-Yu; Chen, Duan-Rung; Chan, Ta-Chien; Chen, Wei J

2013-12-01

To examine the association between alcohol in school environments and adolescent alcohol use over the previous 6 months. A multi-level logistic regression analysis was performed of cross-sectional surveys conducted in 2004, 2005 and 2006. A total of 52 214 students aged 11-19 years from 387 middle or high schools were selected from a nationally representative, multi-stage, stratified probability sampling across Taiwan. Information on socio-demographic features and substance use experiences was collected using self-administered questionnaires. The alcohol in the environment was measured using the availability of convenience stores surrounding the schools. Using geographical information systems, the weighted numbers of convenience stores within 1 km, a 12-15-minute walk, of a school were calculated. The schools were later categorized into three subgroups via the tertile of nearby convenience stores. Considering the compositional characteristics, the availability of convenience stores was found to account for 1.5% of the school-level variance of youthful drinking. The odds ratios (95% confidence interval) of alcohol use over the previous 6 months among youth attending schools with medium and high availability were 1.04 (0.96-1.13) and 1.08 (1.00-1.17), respectively, with a P-value of 0.04 in the trend test. The greater availability of convenience stores near a school is associated with an increased risk of alcohol use among adolescents over the previous 6 months. © 2013 Society for the Study of Addiction.

Predicting multi-level drug response with gene expression profile in multiple myeloma using hierarchical ordinal regression.

Science.gov (United States)

Zhang, Xinyan; Li, Bingzong; Han, Huiying; Song, Sha; Xu, Hongxia; Hong, Yating; Yi, Nengjun; Zhuang, Wenzhuo

2018-05-10

Multiple myeloma (MM), like other cancers, is caused by the accumulation of genetic abnormalities. Heterogeneity exists in the patients' response to treatments, for example, bortezomib. This urges efforts to identify biomarkers from numerous molecular features and build predictive models for identifying patients that can benefit from a certain treatment scheme. However, previous studies treated the multi-level ordinal drug response as a binary response where only responsive and non-responsive groups are considered. It is desirable to directly analyze the multi-level drug response, rather than combining the response to two groups. In this study, we present a novel method to identify significantly associated biomarkers and then develop ordinal genomic classifier using the hierarchical ordinal logistic model. The proposed hierarchical ordinal logistic model employs the heavy-tailed Cauchy prior on the coefficients and is fitted by an efficient quasi-Newton algorithm. We apply our hierarchical ordinal regression approach to analyze two publicly available datasets for MM with five-level drug response and numerous gene expression measures. Our results show that our method is able to identify genes associated with the multi-level drug response and to generate powerful predictive models for predicting the multi-level response. The proposed method allows us to jointly fit numerous correlated predictors and thus build efficient models for predicting the multi-level drug response. The predictive model for the multi-level drug response can be more informative than the previous approaches. Thus, the proposed approach provides a powerful tool for predicting multi-level drug response and has important impact on cancer studies.

Multilevel Cross-Dependent Binary Longitudinal Data

KAUST Repository

Serban, Nicoleta

2013-10-16

We provide insights into new methodology for the analysis of multilevel binary data observed longitudinally, when the repeated longitudinal measurements are correlated. The proposed model is logistic functional regression conditioned on three latent processes describing the within- and between-variability, and describing the cross-dependence of the repeated longitudinal measurements. We estimate the model components without employing mixed-effects modeling but assuming an approximation to the logistic link function. The primary objectives of this article are to highlight the challenges in the estimation of the model components, to compare two approximations to the logistic regression function, linear and exponential, and to discuss their advantages and limitations. The linear approximation is computationally efficient whereas the exponential approximation applies for rare events functional data. Our methods are inspired by and applied to a scientific experiment on spectral backscatter from long range infrared light detection and ranging (LIDAR) data. The models are general and relevant to many new binary functional data sets, with or without dependence between repeated functional measurements.

School Leadership and Cyberbullying-A Multilevel Analysis.

Science.gov (United States)

Låftman, Sara B; Östberg, Viveca; Modin, Bitte

2017-10-15

Cyberbullying is a relatively new form of bullying, with both similarities and differences to traditional bullying. While earlier research has examined associations between school-contextual characteristics and traditional bullying, fewer studies have focused on the links to students' involvement in cyberbullying behavior. The aim of the present study is to assess whether school-contextual conditions in terms of teachers' ratings of the school leadership are associated with the occurrence of cyberbullying victimization and perpetration among students. The data are derived from two separate data collections performed in 2016: The Stockholm School Survey conducted among students in the second grade of upper secondary school (ages 17-18 years) in Stockholm municipality, and the Stockholm Teacher Survey which was carried out among teachers in the same schools. The data include information from 6067 students distributed across 58 schools, linked with school-contextual information based on reports from 1251 teachers. Cyberbullying victimization and perpetration are measured by students' self-reports. Teachers' ratings of the school leadership are captured by an index based on 10 items; the mean value of this index was aggregated to the school level. Results from binary logistic multilevel regression models show that high teacher ratings of the school leadership are associated with less cyberbullying victimization and perpetration. We conclude that a strong school leadership potentially prevents cyberbullying behavior among students.

School Leadership and Cyberbullying—A Multilevel Analysis

Directory of Open Access Journals (Sweden)

Sara B. Låftman

2017-10-01

Full Text Available Cyberbullying is a relatively new form of bullying, with both similarities and differences to traditional bullying. While earlier research has examined associations between school-contextual characteristics and traditional bullying, fewer studies have focused on the links to students’ involvement in cyberbullying behavior. The aim of the present study is to assess whether school-contextual conditions in terms of teachers’ ratings of the school leadership are associated with the occurrence of cyberbullying victimization and perpetration among students. The data are derived from two separate data collections performed in 2016: The Stockholm School Survey conducted among students in the second grade of upper secondary school (ages 17–18 years in Stockholm municipality, and the Stockholm Teacher Survey which was carried out among teachers in the same schools. The data include information from 6067 students distributed across 58 schools, linked with school-contextual information based on reports from 1251 teachers. Cyberbullying victimization and perpetration are measured by students’ self-reports. Teachers’ ratings of the school leadership are captured by an index based on 10 items; the mean value of this index was aggregated to the school level. Results from binary logistic multilevel regression models show that high teacher ratings of the school leadership are associated with less cyberbullying victimization and perpetration. We conclude that a strong school leadership potentially prevents cyberbullying behavior among students.

School Leadership and Cyberbullying—A Multilevel Analysis

Science.gov (United States)

Låftman, Sara B.; Östberg, Viveca; Modin, Bitte

2017-01-01

Cyberbullying is a relatively new form of bullying, with both similarities and differences to traditional bullying. While earlier research has examined associations between school-contextual characteristics and traditional bullying, fewer studies have focused on the links to students’ involvement in cyberbullying behavior. The aim of the present study is to assess whether school-contextual conditions in terms of teachers’ ratings of the school leadership are associated with the occurrence of cyberbullying victimization and perpetration among students. The data are derived from two separate data collections performed in 2016: The Stockholm School Survey conducted among students in the second grade of upper secondary school (ages 17–18 years) in Stockholm municipality, and the Stockholm Teacher Survey which was carried out among teachers in the same schools. The data include information from 6067 students distributed across 58 schools, linked with school-contextual information based on reports from 1251 teachers. Cyberbullying victimization and perpetration are measured by students’ self-reports. Teachers’ ratings of the school leadership are captured by an index based on 10 items; the mean value of this index was aggregated to the school level. Results from binary logistic multilevel regression models show that high teacher ratings of the school leadership are associated with less cyberbullying victimization and perpetration. We conclude that a strong school leadership potentially prevents cyberbullying behavior among students. PMID:29036933

EMPIRICAL STUDY OF DIFFERENT FACTORS EFFECTS ON ARTICLES PUBLICATION REGARDING SURVEY INTERVIEWER CHARACTERISTICS USING MULTILEVEL REGRESSION MODEL

Directory of Open Access Journals (Sweden)

Alina MOROŞANU

2013-06-01

Full Text Available The purpose of this research work is to evaluate the effects which some factors could have on articles publication regarding survey interviewer characteristics. For this, the author studied the existing literature from the various fields in which articles on survey interviewer characteristics has been published and which can be found in online articles database. The analysis was performed on 243 articles achieved by researchers in the time period 1949-2012. Using statistical software R and applying multilevel regression model, the results showed that the time period when the studied articles are made and the interaction between the number of authors and the number of pages affect the most their publication in journals with a certain level of impact factor.

Prevalence and Correlates of Cyberbullying Perpetration. Findings from a German Representative Student Survey

OpenAIRE

Marie Christine Bergmann; Dirk Baier

2018-01-01

Based on a survey of 9512 ninth-grade students conducted in Lower Saxony in 2013, this paper examines the prevalence of cyberbullying perpetration and the correlates of this behavior. Binary logistic multilevel regression was used in order to analyze correlates of sexual and psychological cyberbully perpetration. In the preceding semester, 2.4% of the adolescents were perpetrators of psychological cyberbullying and 0.4% bullied someone online sexually. Low levels of empathy, frequent consumpt...

The logic of logistics theory, algorithms, and applications for logistics management

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Simchi-Levi, David; Bramel, Julien

2014-01-01

Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state of the art in the science of logistics management. This third edition includes new chapters on the subjects of game theory, the power of process flexibility, supply chain competition and collaboration. Among the other materials new to the edition are sections on discrete convex analysis and its applications to stochastic inventory models, as well as extended discussions of integrated inventory and pricing models. The material presents a timely and authoritative survey of the field that will make an invaluable companion to the work of many researchers and practitioners.   Review of earlier edition:   "The present book focuses on the application of operational research and mathematical modelling technique...

The relevance of the school socioeconomic composition and school proportion of repeaters on grade repetition in Brazil: a multilevel logistic model of PISA 2012

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Maria Eugénia Ferrão

2017-02-01

Full Text Available Abstract The paper extends the literature on grade repetition in Brazil by (a describing and synthesizing the main research findings and contributions since 1940, (b enlarging the understanding of the inequity mechanism in education, and (c providing new findings on the effects of the school socioeconomic composition and school proportion of repeaters on the individual probability of grade repetition. Based on the analyses of empirical distributions and multilevel logistic modelling of PISA 2012 data, the findings indicate that higher student socioeconomic status is associated with lower probability of repetition, there is a cumulative risk of repetition after an early repetition, the school socioeconomic composition is strongly correlated with the school proportion of repeaters, and both are related to the individual probability of repetition. The results suggest the existence of a pattern that cumulatively reinforces the effects of social disadvantage, in which the school plays a central role.

Multilevel Factor Structure and Concurrent Validity of the Teacher Version of the Authoritative School Climate Survey.

Science.gov (United States)

Huang, Francis L; Cornell, Dewey G; Konold, Timothy; Meyer, Joseph P; Lacey, Anna; Nekvasil, Erin K; Heilbrun, Anna; Shukla, Kathan D

2015-12-01

School climate is well recognized as an important influence on student behavior and adjustment to school, but there is a need for theory-guided measures that make use of teacher perspectives. Authoritative school climate theory hypothesizes that a positive school climate is characterized by high levels of disciplinary structure and student support. A teacher version of the Authoritative School Climate Survey (ASCS) was administered to a statewide sample of 9099 7th- and 8th-grade teachers from 366 schools. The study used exploratory and multilevel confirmatory factor analyses (MCFA) that accounted for the nested data structure and allowed for the modeling of the factor structures at 2 levels. Multilevel confirmatory factor analyses conducted on both an exploratory (N = 4422) and a confirmatory sample (N = 4677) showed good support for the factor structures investigated. Factor correlations at 2 levels indicated that schools with greater levels of disciplinary structure and student support had higher student engagement, less teasing and bullying, and lower student aggression toward teachers. The teacher version of the ASCS can be used to assess 2 key domains of school climate and associated measures of student engagement and aggression toward peers and teachers. © 2015, American School Health Association.

State of logistics - a five-year review

CSIR Research Space (South Africa)

Ittmann, HW

2009-07-01

Full Text Available The state of logistics survey makes it possible to analyse and show trends over the past five years. This relates to quantitative and qualitative logistics issues that were not possible when this survey started in 2004. The paper will show...

Logistics Management In Nigeria: Some Survey Results | Ojadi ...

African Journals Online (AJOL)

During the last few years the word logistics has become a more frequently used word in the business community. Widely viewed as one of the most critical means of improving profitability, many organizations now integrate most of their materials management and distribution processes into a logistics supply chain.

Multilevel model to estimate county-level untreated dental caries among US children aged 6-9years using the National Health and Nutrition Examination Survey.

Science.gov (United States)

Lin, Mei; Zhang, Xingyou; Holt, James B; Robison, Valerie; Li, Chien-Hsun; Griffin, Susan O

2018-06-01

Because conducting population-based oral health screening is resource intensive, oral health data at small-area levels (e.g., county-level) are not commonly available. We applied the multilevel logistic regression and poststratification method to estimate county-level prevalence of untreated dental caries among children aged 6-9years in the United States using data from the National Health and Nutrition Examination Survey (NHANES) 2005-2010 linked with various area-level data at census tract, county and state levels. We validated model-based national estimates against direct estimates from NHANES. We also compared model-based estimates with direct estimates from select State Oral Health Surveys (SOHS) at state and county levels. The model with individual-level covariates only and the model with individual-, census tract- and county-level covariates explained 7.2% and 96.3% respectively of overall county-level variation in untreated caries. Model-based county-level prevalence estimates ranged from 4.9% to 65.2% with median of 22.1%. The model-based national estimate (19.9%) matched the NHANES direct estimate (19.8%). We found significantly positive correlations between model-based estimates for 8-year-olds and direct estimates from the third-grade State Oral Health Surveys (SOHS) at state level for 34 states (Pearson coefficient: 0.54, P=0.001) and SOHS estimates at county level for 53 New York counties (Pearson coefficient: 0.38, P=0.006). This methodology could be a useful tool to characterize county-level disparities in untreated dental caries among children aged 6-9years and complement oral health surveillance to inform public health programs especially when local-level data are not available although the lack of external validation due to data unavailability should be acknowledged. Published by Elsevier Inc.

Service Innovation and Sustainability in the Danish Logistics Sector

DEFF Research Database (Denmark)

Gammelgaard, Britta; Prockl, Günter; Thordardottir, Kristin

2012-01-01

in the logistics sector, but also that a sustainability profile is not used as a driver for marketing new sustainable logistics services. The customers, on the other hand, are focused on price, geographical coverage and reliability of delivery. This study reports a portion of survey results that cover more issues......Sustainability in the logistics sector is much talked about, but at the same time there is little overview of the current activities. This paper provides an input to such an overview of logistics services provided in the Danish logistics sector in 2011. The purpose of the study is also...... to investigate driving forces of development towards sustainable logistics services from the industry. The paper is descriptive and based on an online survey sent to managing directors of 201 companies in the Danish logistics sector. The survey questions were developed on the basis of literature studies...

Using multilevel modeling to assess case-mix adjusters in consumer experience surveys in health care.

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Damman, Olga C; Stubbe, Janine H; Hendriks, Michelle; Arah, Onyebuchi A; Spreeuwenberg, Peter; Delnoij, Diana M J; Groenewegen, Peter P

2009-04-01

Ratings on the quality of healthcare from the consumer's perspective need to be adjusted for consumer characteristics to ensure fair and accurate comparisons between healthcare providers or health plans. Although multilevel analysis is already considered an appropriate method for analyzing healthcare performance data, it has rarely been used to assess case-mix adjustment of such data. The purpose of this article is to investigate whether multilevel regression analysis is a useful tool to detect case-mix adjusters in consumer assessment of healthcare. We used data on 11,539 consumers from 27 Dutch health plans, which were collected using the Dutch Consumer Quality Index health plan instrument. We conducted multilevel regression analyses of consumers' responses nested within health plans to assess the effects of consumer characteristics on consumer experience. We compared our findings to the results of another methodology: the impact factor approach, which combines the predictive effect of each case-mix variable with its heterogeneity across health plans. Both multilevel regression and impact factor analyses showed that age and education were the most important case-mix adjusters for consumer experience and ratings of health plans. With the exception of age, case-mix adjustment had little impact on the ranking of health plans. On both theoretical and practical grounds, multilevel modeling is useful for adequate case-mix adjustment and analysis of performance ratings.

The Relationship between Logistics Sophistication and Drivers of the Outsourcing of Logistics Activities

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Peter Wanke

2008-10-01

Full Text Available A strong link has been established between operational excellence and the degree of sophistication of logistics organization, a function of factors such as performance monitoring, investment in Information Technology [IT] and the formalization of logistics organization, as proposed in the Bowersox, Daugherty, Dröge, Germain and Rogers (1992 Leading Edge model. At the same time, shippers have been increasingly outsourcing their logistics activities to third party providers. This paper, based on a survey with large Brazilian shippers, addresses a gap in the literature by investigating the relationship between dimensions of logistics organization sophistication and drivers of logistics outsourcing. To this end, the dimensions behind the logistics sophistication construct were first investigated. Results from factor analysis led to the identification of six dimensions of logistics sophistication. By means of multivariate logistical regression analyses it was possible to relate some of these dimensions, such as the formalization of the logistics organization, to certain drivers of the outsourcing of logistics activities of Brazilian shippers, such as cost savings. These results indicate the possibility of segmenting shippers according to characteristics of their logistics organization, which may be particularly useful to logistics service providers.

Socio-economic determinants in selecting childhood diarrhoea treatment options in Sub-Saharan Africa: A multilevel model

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Lawoko Stephen

2011-03-01

Full Text Available Abstract Background Diarrhoea disease which has been attributed to poverty constitutes a major cause of morbidity and mortality in children aged five and below in most low-and-middle income countries. This study sought to examine the contribution of individual and neighbourhood socio-economic characteristics to caregiver's treatment choices for managing childhood diarrhoea at household level in sub-Saharan Africa. Methods Multilevel multinomial logistic regression analysis was applied to Demographic and Health Survey data conducted in 11 countries in sub-Saharan Africa. The unit of analysis were the 12,988 caregivers of children who were reported to have had diarrhoea two weeks prior to the survey period. Results There were variability in selecting treatment options based on several socioeconomic characteristics. Multilevel-multinomial regression analysis indicated that higher level of education of both the caregiver and that of the partner, as well as caregivers occupation were associated with selection of medical centre, pharmacies and home care as compared to no treatment. In contrast, caregiver's partners' occupation was negatively associated with selection medical centre and home care for managing diarrhoea. In addition, a low-level of neighbourhood socio-economic disadvantage was significantly associated with selection of both medical centre and pharmacy stores and medicine vendors. Conclusion In the light of the findings from this study, intervention aimed at improving on care seeking for managing diarrhoea episode and other childhood infectious disease should jointly consider the influence of both individual SEP and the level of economic development of the communities in which caregivers of these children resides.

An Exploratory Analysis of Reverse Logistics in Flanders

NARCIS (Netherlands)

Verstrepen, Sven; Cruijssen, Frans; Brito, Marisa P De; Dullaert, Wout

2007-01-01

This paper reports on a reverse logistics survey of shippers and logistics service providers in Flanders, one of the leading logistics regions in Europe. We characterise the reverse logistics activities with respect to return reasons, recovery options, outsourcing, lifecycle length and value of

Improving survey response rates from parents in school-based research using a multi-level approach.

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Elizabeth J Schilpzand

Full Text Available While schools can provide a comprehensive sampling frame for community-based studies of children and their families, recruitment is challenging. Multi-level approaches which engage multiple school stakeholders have been recommended but few studies have documented their effects. This paper compares the impact of a standard versus enhanced engagement approach on multiple indicators of recruitment: parent response rates, response times, reminders required and sample characteristics.Parents and teachers were distributed a brief screening questionnaire as a first step for recruitment to a longitudinal study, with two cohorts recruited in consecutive years (cohort 1 2011, cohort 2 2012. For cohort 2, additional engagement strategies included the use of pre-notification postcards, improved study materials, and recruitment progress graphs provided to school staff. Chi-square and t-tests were used to examine cohort differences.Compared to cohort 1, a higher proportion of cohort 2 parents responded to the survey (76% versus 69%; p < 0.001, consented to participate (71% versus 56%; p < 0.001, agreed to teacher participation (90% versus 82%; p < 0.001 and agreed to follow-up contact (91% versus 80%; p < 0.001. Fewer cohort 2 parents required reminders (52% versus 63%; p < 0.001, and cohort 2 parents responded more promptly than cohort 1 parents (mean difference: 19.4 days, 95% CI: 18.0 to 20.9, p < 0.001.These results illustrate the value of investing in a relatively simple multi-level strategy to maximise parent response rates, and potentially reduce recruitment time and costs.

Reverse logistics policy – differences between conservative and innovative reverse logistics management

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Alena Klapalová

2013-01-01

Full Text Available One of the of the key barriers that hampers effective and efficient management of reverse flows detected within a number of empirical surveys and case studies focused on reverse logistics and/or return management is business (organisational policy, specifically lack of policy, deficiency in existing policy or inferior policy. Despite this fact, there is a gap in literature which would show some evidence from practice that innovative reverse logistics policy both can pay off and is associated with certain aspects of reverse logistics management. Such proof can have several implications. It can support the call for better understanding and more research of the linkages of reverse logistics with other corporate functions, promote the acceptation of strategic character of reverse logistics and stress the role of RL policy within the rest of overall corporate management.The aim of this paper is to contribute and to enrich the existing body of knowledge concerning the above-mentioned gap through presentation of survey results that was realized in 2012 among managers of 244 Czech firms. The results demonstrate the statistically significant association between the innovativeness of RL policy and profitability of firms, quality of RL planning, perception of RL importance, level of RL knowledge and perception of product innovation importance for firms’ competitiveness and frequency of product innovation. They also reveal statistically significant differences between firms with conservative and innovative RL policy and the perceived existence of some barriers to manage RL.

Risk factors for disordered weight control behaviors among Korean adolescents: Multilevel analysis of the Korea Youth Risk Behavior Survey.

Science.gov (United States)

Kim, Yongjoo; Austin, S Bryn; Subramanian, S V; Thomas, Jennifer J; Eddy, Kamryn T; Franko, Debra L; Rodgers, Rachel F; Kawachi, Ichiro

2018-02-01

To investigate the prevalence and risk factors for disordered weight control behaviors (DWCB) in South Korean adolescents at multiple levels, including individual, family, school, and geographic area. We drew participants from the 11th Korea Youth Risk Behavior Web-based Survey, conducted in 2015, with 65,529 adolescents (31,687 girls, 33,842 boys) aged 12-18 years. DWCB was defined as engaging in any of the following behaviors for weight control over the past month: fasting, one-food diet (eating only one food over an extended period of time for weight control), vomiting, and taking laxatives/diuretics/unprescribed diet pills. Sex-stratified four-level multilevel logistic models examined potential predictors of DWCB, including age, body-mass index, puberty, perceived household economic status, parental education, living structure, school type and sex-composition, percentage of students participating in school nutrition programs, and urbanicity. Overall, 6.2% of Korean adolescents (8.9% of girls, 3.7% of boys) exhibited any DWCB. We found significant between-school variation among girls and boys and between-classroom variation among girls. Older age, overweight/obesity, pubertal maturity, high household economic status (vs. mid-range economic status), and vocational schooling (vs. general) were positively associated with DWCB among girls and boys. Low household economic status (vs. mid-range economic status), higher parental education, and coeducational schooling (vs. single-sex) were positively associated with DWCB among girls only. The findings suggest that DWCB are prevalent among Korean adolescents across age, sex, and socioeconomic status. Social contextual factors including school and familial environmental factors, as well as individual characteristics, should be considered when developing effective prevention strategies. © 2018 Wiley Periodicals, Inc.

Multilevel modeling using R

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Finch, W Holmes; Kelley, Ken

2014-01-01

A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software environment.After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models fo

Education, Training and the Role of Logistic Managers in Ireland

OpenAIRE

Mangan, John; Gregory, Orla

2001-01-01

The paper is based on the analysis of the responses of a questionnaire survey of logistics managers working in manufacturing firms in Ireland. The objectives of the survey were to establish the educational and training needs of the practicing logistics manager. The questionnaire was designed to address issues including the various logistics practices undertaken by the respondents' company and the time spent by respondents on these activities; the skills currently required by logistics manager...

Immigrant maternal depression and social networks. A multilevel Bayesian spatial logistic regression in South Western Sydney, Australia.

Science.gov (United States)

Eastwood, John G; Jalaludin, Bin B; Kemp, Lynn A; Phung, Hai N; Barnett, Bryanne E W

2013-09-01

The purpose is to explore the multilevel spatial distribution of depressive symptoms among migrant mothers in South Western Sydney and to identify any group level associations that could inform subsequent theory building and local public health interventions. Migrant mothers (n=7256) delivering in 2002 and 2003 were assessed at 2-3 weeks after delivery for risk factors for depressive symptoms. The binary outcome variables were Edinburgh Postnatal Depression Scale scores (EPDS) of >9 and >12. Individual level variables included were: financial income, self-reported maternal health, social support network, emotional support, practical support, baby trouble sleeping, baby demanding and baby not content. The group level variable reported here is aggregated social support networks. We used Bayesian hierarchical multilevel spatial modelling with conditional autoregression. Migrant mothers were at higher risk of having depressive symptoms if they lived in a community with predominantly Australian-born mothers and strong social capital as measured by aggregated social networks. These findings suggest that migrant mothers are socially isolated and current home visiting services should be strengthened for migrant mothers living in communities where they may have poor social networks. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Political regimes, political ideology, and self-rated health in Europe: a multilevel analysis

OpenAIRE

Huijts, T.; Perkins, J.M; Subramanian, S.V.

2010-01-01

Background: Studies on political ideology and health have found associations between individual ideology and health as well as between ecological measures of political ideology and health. Individual ideology and aggregate measures such as political regimes, however, were never examined simultaneously. Methodology/Principal Findings: Using adjusted logistic multilevel models to analyze data on individuals from 29 European countries and Israel, we found that individual ideology and political r...

EUROPEAN INTEGRATION: A MULTILEVEL PROCESS THAT REQUIRES A MULTILEVEL STATISTICAL ANALYSIS

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Roxana-Otilia-Sonia HRITCU

2015-11-01

Full Text Available A process of market regulation and a system of multi-level governance and several supranational, national and subnational levels of decision making, European integration subscribes to being a multilevel phenomenon. The individual characteristics of citizens, as well as the environment where the integration process takes place, are important. To understand the European integration and its consequences it is important to develop and test multi-level theories that consider individual-level characteristics, as well as the overall context where individuals act and express their characteristics. A central argument of this paper is that support for European integration is influenced by factors operating at different levels. We review and present theories and related research on the use of multilevel analysis in the European area. This paper draws insights on various aspects and consequences of the European integration to take stock of what we know about how and why to use multilevel modeling.

Perceived safety management practices in the logistics sector.

Science.gov (United States)

Auyong, Hui-Nee; Zailani, Suhaiza; Surienty, Lilis

2016-03-09

Malaysia's progress on logistics has been slowed to keep pace with its growth in trade. The Government has been pressing companies to improve the safety of their activities in order to reduce society's loss due to occupational accidents and illnesses. Occupational safety and health is a crucial part of a workplace because every worker has to take care of his/her own safety and health. The main occupational safety and health (OSH) national policy in Malaysia is the enactment of the Occupational Safety and Health Act (OSHA) 1994. Only those companies which have excellent health and safety care have good quality and productive employees. This study investigated safety management practices in the logistics sector. The present study is concerned with the human factors to safety in the logistics industry. The authors examined the perceived safety management practices of workers in the logistics sector. The purpose was to identify the perception of safety management practices of Malaysian logistics personnel. Survey questionnaires were distributed to assess logistics personnel about management commitment. The quantitative method using the availability sampling method was applied. The data gathered from the survey were analysed using SPSS software. The responses to the survey were rated according to the Likert scale type, with '1' indicating strongly disagree and '5' indicating strongly agree. One hundred and three employees of logistics functions completed the survey. The highest mean scores were found for fire apparatus, prioritisation of safety, and safety policy. The results from this study also emphasise the importance of the management's commitment in enhancing workplace safety. Specifically, companies should maintain good relations between the employer and the employee to help reduce workplace injuries.

Comparison of logistic regression and artificial neural network in low back pain prediction: second national health survey.

Science.gov (United States)

Parsaeian, M; Mohammad, K; Mahmoudi, M; Zeraati, H

2012-01-01

The purpose of this investigation was to compare empirically predictive ability of an artificial neural network with a logistic regression in prediction of low back pain. Data from the second national health survey were considered in this investigation. This data includes the information of low back pain and its associated risk factors among Iranian people aged 15 years and older. Artificial neural network and logistic regression models were developed using a set of 17294 data and they were validated in a test set of 17295 data. Hosmer and Lemeshow recommendation for model selection was used in fitting the logistic regression. A three-layer perceptron with 9 inputs, 3 hidden and 1 output neurons was employed. The efficiency of two models was compared by receiver operating characteristic analysis, root mean square and -2 Loglikelihood criteria. The area under the ROC curve (SE), root mean square and -2Loglikelihood of the logistic regression was 0.752 (0.004), 0.3832 and 14769.2, respectively. The area under the ROC curve (SE), root mean square and -2Loglikelihood of the artificial neural network was 0.754 (0.004), 0.3770 and 14757.6, respectively. Based on these three criteria, artificial neural network would give better performance than logistic regression. Although, the difference is statistically significant, it does not seem to be clinically significant.

Review on Doctoral Dissertation: Drago Pupavac: Logistics operator – the factor of dynamic optimization of global logistics chains

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Ratko Zelenika

2007-05-01

Full Text Available The main objective of the scientific research of this doctoral thesis is the effect of the logistics operator in the function of cutting total costs of the global logistics chain. In order to achieve the objective of the research, a number of scientific methods have been applied such as survey methods, methods of dynamic programming and mixed convex programming. Owing to the applied scientific methodology,Drago Pupovac, M.Sc. has successfully interpreted the obtained results by proving that the selective model approach to active participants of the logistics chain gives the logistics operator the insight into potential logistics network, depicts skills of individual operators in the logistics network, specifies logistics activitiesof each logistics venture, provides information on costs of specific logistics activities and in that way proves that it enables logistics operator to optimize logistics chains by protecting them from the demand instability and changes.

Co-location synergies : specialized versus diverse logistics concentration areas

OpenAIRE

Heuvel, van den, F.P.; Langen, de, P.W.; Donselaar, van, K.H.; Fransoo, J.C.

2012-01-01

Purpose: The purpose of this paper is to contribute to the understanding of spatial concentration of logistics firms by empirically analyzing synergies through co-location and investigating whether co-location of logistics establishments in specialized logistics concentration areas results in benefits compared to co-location in diverse logistics concentration areas. Methodology: A survey among managers of 128 logistics establishments located in logistics concentration areas was used to test f...

3PL Services in City Logistics

DEFF Research Database (Denmark)

Aastrup, Jesper; Gammelgaard, Britta; Prockl, Günter

2012-01-01

The purpose of this paper is 1) to develop an overview of activities and services that can add value for users and consignees in city logistics schemes based on Urban Consolidation Centre, and 2) to understand and analyze the perceived value for users and consignees from using such services....... The paper will be based on studies of the city logistics literature and existing city logistics schemes, as well as survey and interview findings from studies of potential users (retailers) in Copenhagen inner city and interviews with existing users (retailers) of existing city logistics services...... in the cities of Maastricht, Netherlands, and Hasselt, Belgium. The paper provides an overview and classification of possible third party logistics services in city logistics schemes. Also, findings about value perceived by current users as well as potential users are presented. Literature on city logistics has...

College on Credit: A Multilevel Analysis of Student Loan Default

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Hillman, Nicholas W.

2014-01-01

This study updates and expands the literature on student loan default. By applying multilevel regression to the Beginning Postsecondary Students survey, four key findings emerge. First, attending proprietary institutions is strongly associated with default, even after accounting for students' socioeconomic and academic backgrounds. Second,…

Testing Group Mean Differences of Latent Variables in Multilevel Data Using Multiple-Group Multilevel CFA and Multilevel MIMIC Modeling.

Science.gov (United States)

Kim, Eun Sook; Cao, Chunhua

2015-01-01

Considering that group comparisons are common in social science, we examined two latent group mean testing methods when groups of interest were either at the between or within level of multilevel data: multiple-group multilevel confirmatory factor analysis (MG ML CFA) and multilevel multiple-indicators multiple-causes modeling (ML MIMIC). The performance of these methods were investigated through three Monte Carlo studies. In Studies 1 and 2, either factor variances or residual variances were manipulated to be heterogeneous between groups. In Study 3, which focused on within-level multiple-group analysis, six different model specifications were considered depending on how to model the intra-class group correlation (i.e., correlation between random effect factors for groups within cluster). The results of simulations generally supported the adequacy of MG ML CFA and ML MIMIC for multiple-group analysis with multilevel data. The two methods did not show any notable difference in the latent group mean testing across three studies. Finally, a demonstration with real data and guidelines in selecting an appropriate approach to multilevel multiple-group analysis are provided.

Fungible weights in logistic regression.

Science.gov (United States)

Jones, Jeff A; Waller, Niels G

2016-06-01

In this article we develop methods for assessing parameter sensitivity in logistic regression models. To set the stage for this work, we first review Waller's (2008) equations for computing fungible weights in linear regression. Next, we describe 2 methods for computing fungible weights in logistic regression. To demonstrate the utility of these methods, we compute fungible logistic regression weights using data from the Centers for Disease Control and Prevention's (2010) Youth Risk Behavior Surveillance Survey, and we illustrate how these alternate weights can be used to evaluate parameter sensitivity. To make our work accessible to the research community, we provide R code (R Core Team, 2015) that will generate both kinds of fungible logistic regression weights. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Effects of individual characteristics and school environment on cigarette smoking among students ages 13-15: A multilevel analysis of the 2007 Global Youth Tobacco Survey (GYTS) data from Vietnam.

Science.gov (United States)

Van Minh, Hoang; Hai, Phan Thi; Giang, Kim Bao; Nga, Pham Quynh; Khanh, Pham Huyen; Lam, Nguyen Tuan; Kinh, Ly Ngoc

2011-01-01

This paper aims to estimate the prevalence of cigarette smoking among students in Vietnam ages 13-15 and examines its relationship with compositional and contextual factors. The data used in this paper were obtained from the 2007 Global Youth Tobacco Survey conducted in nine provinces in Vietnam. A multilevel logistic regression model was applied to analyse the association between the current incidence of cigarette smoking and factors on both the individual and school level. The prevalence of cigarette smoking among students was 3.3% overall. The prevalence of smoking among male students (5.9%) was higher than that among females (1.2%). Parental smoking was a significant risk factor for smoking among the students. Having a friend who smoked was the strongest predictor of smoking status among the study subjects. We have demonstrated that school-level factors appeared to impact the prevalence of cigarette smoking among students ages 13-15. This paper highlights the importance of utilising an extensive range of actions to prevent students from using tobacco in Vietnam. These actions should include providing specific curricula for students that address both individual characteristics and the school environment. Further, prevention programmes should also target both parental- and peer-smoking issues.

Graduate Attribute Attainment in a Multi-Level Undergraduate Geography Course

Science.gov (United States)

Mager, Sarah; Spronken-Smith, Rachel

2014-01-01

We investigated students' perceptions of graduate attributes in a multi-level (second and third year) geography course. A case study with mixed methodology was employed, with data collected through focus groups and a survey. We found that undergraduate geography students can identify the skills, knowledge and attributes that are developed through…

Multilevel Analysis of Factors Associated with Wasting and Underweight among Children Under-Five Years in Nigeria

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Blessing J. Akombi

2017-01-01

Full Text Available Wasting and underweight reflect poor nutrition, which in children leads to retarded growth. The aim of this study is to determine the factors associated with wasting and underweight among children aged 0–59 months in Nigeria. A sample of 24,529 children aged 0–59 months from the 2013 Nigeria Demographic and Health Survey (NDHS was used. Multilevel logistic regression analysis that adjusted for cluster and survey weights was used to identify significant factors associated with wasting/severe wasting and underweight/severe underweight. The prevalence of wasting was 18% (95% Confidence Interval (CI: 17.1, 19.7 and severe wasting 9% (95% CI: 7.9, 9.8. The prevalence of underweight was 29% (95% CI: 27.1, 30.5 and severe underweight 12% (95% CI: 10.6, 12.9. Multivariable analysis revealed that the most consistent factors associated with wasting/severe wasting and underweight/severe underweight are: geopolitical zone (North East, North West and North Central, perceived birth size (small and average, sex of child (male, place/mode of delivery (home delivery and non-caesarean and a contraction of fever in the two weeks prior to the survey. In order to meet the WHO’s global nutrition target for 2025, interventions aimed at improving maternal health and access to health care services for children especially in the northern geopolitical zones of Nigeria are urgently needed.

Criminal Victimization and Crime Risk Perception: A Multilevel Longitudinal Study

Science.gov (United States)

Russo, Silvia; Roccato, Michele; Vieno, Alessio

2013-01-01

In a national sample of the Italian population, surveyed four times between October 2002 and January 2007 (N = 2,008), we performed a multilevel longitudinal study aimed at predicting the increase in crime risk perception as a function of three families of independent variables, respectively lying at the within individual level (direct…

Measuring Collective Efficacy: A Multilevel Measurement Model for Nested Data

Science.gov (United States)

Matsueda, Ross L.; Drakulich, Kevin M.

2016-01-01

This article specifies a multilevel measurement model for survey response when data are nested. The model includes a test-retest model of reliability, a confirmatory factor model of inter-item reliability with item-specific bias effects, an individual-level model of the biasing effects due to respondent characteristics, and a neighborhood-level…

Outsourcing Logistics Activities: Evidence from Slovenia

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Klemen Kavčič

2016-12-01

Full Text Available The purpose of this research is to investigate how logistics outsourcing performs activities that have been traditionally carried out within the outsourcer’s company. The study examines the characteristics of logistics and transport services, which are important in cooperation with service providers. Two groups were formed according to the average values of the characteristics of logistics activities. ‘Cost, quality and response’ are important for the first group, while ‘logistics, environment and the ability to adapt to client processes’ are important for the second group. The results of the survey carried out in Slovenian enterprises show that both groups are primarily interested in express freight and shipment services, the difference lying in the understanding of logistics, mutual trust and brand recognition. The findings will be useful both in business practice and for managers, providing them with a better understanding of the performance of logistics outsourcing.

Individual and contextual factors associated with tobacco, alcohol, and cannabis use among Chilean adolescents: A multilevel study.

Science.gov (United States)

Gaete, Jorge; Araya, Ricardo

2017-04-01

We studied the association between individual and contextual variables and the use of tobacco, alcohol, or cannabis in the last 30 days preceding the study, considering the hierarchical nature of students nested in schools. We used the 7th Chilean National School Survey of Substance Use (2007) covering 45,273 students (aged 12-21 years old) along with information from 1465 schools provided by the Chilean Ministry of Education. Multilevel univariable and multivariable logistic regression models were performed. We found a significant intra-class correlation within schools for all substances in the study. Common (e.g., availability of pocket money, more time spent with friends, poor parental monitoring, poor school bonding, bullying others, and lower risk perception of substance use) and unique predictors (e.g., school achievement on national tests) were identified. These findings may help in planning and conducting preventive interventions to reduce substance use. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Multilevel joint competing risk models

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Karunarathna, G. H. S.; Sooriyarachchi, M. R.

2017-09-01

Joint modeling approaches are often encountered for different outcomes of competing risk time to event and count in many biomedical and epidemiology studies in the presence of cluster effect. Hospital length of stay (LOS) has been the widely used outcome measure in hospital utilization due to the benchmark measurement for measuring multiple terminations such as discharge, transferred, dead and patients who have not completed the event of interest at the follow up period (censored) during hospitalizations. Competing risk models provide a method of addressing such multiple destinations since classical time to event models yield biased results when there are multiple events. In this study, the concept of joint modeling has been applied to the dengue epidemiology in Sri Lanka, 2006-2008 to assess the relationship between different outcomes of LOS and platelet count of dengue patients with the district cluster effect. Two key approaches have been applied to build up the joint scenario. In the first approach, modeling each competing risk separately using the binary logistic model, treating all other events as censored under the multilevel discrete time to event model, while the platelet counts are assumed to follow a lognormal regression model. The second approach is based on the endogeneity effect in the multilevel competing risks and count model. Model parameters were estimated using maximum likelihood based on the Laplace approximation. Moreover, the study reveals that joint modeling approach yield more precise results compared to fitting two separate univariate models, in terms of AIC (Akaike Information Criterion).

FEATURES OF LOGISTIC SYSTEM ADAPTIVE MANAGEMENT

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Natalya VOZNENKO

2015-08-01

Full Text Available The study presents literature survey on enterprise logistic system adaptive management place and structure in the general enterprise management system. The theoretical basics of logistic system functioning, levels of its management and its effectiveness had been investigated. The role of adaptive management and its types had been scrutinized. The necessity of creating company’s adaptive regulator such as its economic mechanism had been proved.

National Profiles of Classroom Quality and Family Involvement: A Multilevel Examination of Proximal Influences on Head Start Children's School Readiness

Science.gov (United States)

Bulotsky-Shearer, Rebecca J.; Wen, Xiaoli; Faria, Ann-Marie; Hahs-Vaughn, Debbie L.; Korfmacher, Jon

2012-01-01

Guided by a developmental and ecological model, the study employed latent profile analysis to identify a multilevel typology of family involvement and Head Start classroom quality. Using the nationally representative Head Start Family and Child Experiences Survey (FACES 1997; N = 1870), six multilevel latent profiles were estimated, characterized…

Associations between state minimum wage policy and health care access: a multi-level analysis of the 2004 Behavioral Risk Factor survey.

Science.gov (United States)

McCarrier, Kelly P; Martin, Diane P; Ralston, James D; Zimmerman, Frederick J

2010-05-01

Minimum wage policies have been advanced as mechanisms to improve the economic conditions of the working poor. Both positive and negative effects of such policies on health care access have been hypothesized, but associations have yet to be thoroughly tested. To examine whether the presence of minimum wage policies in excess of the federal standard of $5.15 per hour was associated with health care access indicators among low-skilled adults of working age, a cross-sectional analysis of 2004 Behavioral Risk Factor Surveillance System data was conducted. Self-reported health insurance status and experience with cost-related barriers to needed medical care were adjusted in multi-level logistic regression models to control for potential confounding at the state, county, and individual levels. State-level wage policy was not found to be associated with insurance status or unmet medical need in the models, providing early evidence that increased minimum wage rates may neither strengthen nor weaken access to care as previously predicted.

Use of modern contraceptives among married women in Vietnam: a multilevel analysis using the Multiple Indicator Cluster Survey (2011) and the Vietnam Population and Housing Census (2009).

Science.gov (United States)

Vu, Lan Thi Hoang; Oh, Juhwan; Bui, Quyen Thi-Tu; Le, Anh Thi-Kim

2016-01-01

The prevalence of modern contraceptive use is an important indicator that reflects accessibility to reproductive health services. Satisfying unmet needs for family planning alone could reduce the number of maternal deaths by almost a third. This study uses multiple data sources to examine multilevel factors associated with the use of modern contraceptives among married women in Vietnam aged 15-49 years. Data from different national surveys (Vietnam Population and Housing Census, Vietnam Living Standard Survey, and Multiple Indicator Cluster Survey) were linked to create a dataset including individual and contextual (provincial) variables (N=8,341). Multilevel modeling was undertaken to examine the impact of both individual and provincial characteristics on modern contraceptive use. Odds ratios (ORs) and 95% confidence intervals (CIs) are reported. Individual factors significantly associated with the use of modern contraceptives were age 30-34 years (reference 15-19 years) (OR=1.63); high socioeconomic status (SES) (OR=0.8); having two living children (OR=2.4); and having a son (OR=1.4). The provincial poverty rate mediated the association between the individual's SES and the likelihood of using modern contraceptives. The proportion of women in Vietnam using modern contraceptive methods has remained relatively high in recent years with significant variation across Vietnam's 63 provinces. Women of lower SES are more likely to use modern contraceptive methods, especially in the poorer provinces. Achieving access to universal reproductive health is one of the Millennium Development Goals. Vietnam must continue to make progress in this area.

A Solution to Modeling Multilevel Confirmatory Factor Analysis with Data Obtained from Complex Survey Sampling to Avoid Conflated Parameter Estimates

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Jiun-Yu Wu

2017-09-01

Full Text Available The issue of equality in the between-and within-level structures in Multilevel Confirmatory Factor Analysis (MCFA models has been influential for obtaining unbiased parameter estimates and statistical inferences. A commonly seen condition is the inequality of factor loadings under equal level-varying structures. With mathematical investigation and Monte Carlo simulation, this study compared the robustness of five statistical models including two model-based (a true and a mis-specified models, one design-based, and two maximum models (two models where the full rank of variance-covariance matrix is estimated in between level and within level, respectively in analyzing complex survey measurement data with level-varying factor loadings. The empirical data of 120 3rd graders' (from 40 classrooms perceived Harter competence scale were modeled using MCFA and the parameter estimates were used as true parameters to perform the Monte Carlo simulation study. Results showed maximum models was robust to unequal factor loadings while the design-based and the miss-specified model-based approaches produced conflated results and spurious statistical inferences. We recommend the use of maximum models if researchers have limited information about the pattern of factor loadings and measurement structures. Measurement models are key components of Structural Equation Modeling (SEM; therefore, the findings can be generalized to multilevel SEM and CFA models. Mplus codes are provided for maximum models and other analytical models.

Conceptualising Multilevel Regulation in the EU: A Legal Translation of Multilevel Governance?

NARCIS (Netherlands)

Chowdhury, Nupur; Wessel, Ramses A.

2012-01-01

How should we conceive of regulation in the European context? This paper attempts to answer this by developing multilevel regulation as a theoretical concept. The basic aim of the paper is to explore the difference and convergence between regulation and governance and develop multilevel governance

Technological Innovation for China’s Logistics Industry

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Chieh-Yu Lin

2008-01-01

Full Text Available China’s logistics industry has started to pay attention to adopt more efficient logistics technologies to provide better services for their customers. This paper employes the questionnaire survey to study the factors influencing the adoption of technological innovations by logistics service providers in China as well as the influences of technological innovation on supply chain performance. Technological innovations are categorized into data acquisition technologies, information technologies, warehousing technologies, and transportation technologies. The results show that the adoption of technological innovations is significantly influenced by technological, organizational and environmental factors, and adopting innovative technologies will increase supply chain performance for the logistics industry in China.

Stages of syphilis in South China - a multilevel analysis of early diagnosis.

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Wong, Ngai Sze; Huang, Shujie; Zheng, Heping; Chen, Lei; Zhao, Peizhen; Tucker, Joseph D; Yang, Li Gang; Goh, Beng Tin; Yang, Bin

2017-01-31

Early diagnosis of syphilis and timely treatment can effectively reduce ongoing syphilis transmission and morbidity. We examined the factors associated with the early diagnosis of syphilis to inform syphilis screening strategic planning. In an observational study, we analyzed reported syphilis cases in Guangdong Province, China (from 2014 to mid-2015) accessed from the national case-based surveillance system. We categorized primary and secondary syphilis cases as early diagnosis and categorized latent and tertiary syphilis as delayed diagnosis. Univariate analyses and multivariable logistic regressions were performed to identify the factors associated with early diagnosis. We also examined the factors associated with early diagnosis at the individual and city levels in multilevel logistic regression models with cases nested by city (n = 21), adjusted for age at diagnosis and gender. Among 83,944 diagnosed syphilis cases, 22% were early diagnoses. The city-level early diagnosis rate ranged from 7 to 46%, consistent with substantial geographic variation as shown in the multilevel model. Early diagnosis was associated with cases presenting to specialist clinics for screening, being male and attaining higher education level. Cases received syphilis testing in institutions and hospitals, and diagnosed in hospitals were less likely to be in early diagnosis. At the city-level, cases living in a city equipped with more hospitals per capita were less likely to be early diagnosis. To enhance early diagnosis of syphilis, city-specific syphilis screening strategies with a mix of passive and client/provider-initiated testing might be a useful approach.

Area-level poverty and preterm birth risk: A population-based multilevel analysis

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DeFranco, Emily A; Lian, Min; Muglia, Louis A; Schootman, Mario

2008-01-01

Background Preterm birth is a complex disease with etiologic influences from a variety of social, environmental, hormonal, genetic, and other factors. The purpose of this study was to utilize a large population-based birth registry to estimate the independent effect of county-level poverty on preterm birth risk. To accomplish this, we used a multilevel logistic regression approach to account for multiple co-existent individual-level variables and county-level poverty rate. Methods Population-based study utilizing Missouri's birth certificate database (1989–1997). We conducted a multilevel logistic regression analysis to estimate the effect of county-level poverty on PTB risk. Of 634,994 births nested within 115 counties in Missouri, two levels were considered. Individual-level variables included demographics factors, prenatal care, health-related behavioral risk factors, and medical risk factors. The area-level variable included the percentage of the population within each county living below the poverty line (US census data, 1990). Counties were divided into quartiles of poverty; the first quartile (lowest rate of poverty) was the reference group. Results PTB rate of PTB poverty and increased through the 4th quartile (4.9%), p poverty was significantly associated with PTB risk. PTB risk (poverty, adjusted odds ratio (adjOR) 1.18 (95% CI 1.03, 1.35), with a similar effect at earlier gestational ages (birth, above other underlying risk factors. Although the risk increase is modest, it affects a large number of pregnancies. PMID:18793437

Area-level poverty and preterm birth risk: A population-based multilevel analysis

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Muglia Louis A

2008-09-01

Full Text Available Abstract Background Preterm birth is a complex disease with etiologic influences from a variety of social, environmental, hormonal, genetic, and other factors. The purpose of this study was to utilize a large population-based birth registry to estimate the independent effect of county-level poverty on preterm birth risk. To accomplish this, we used a multilevel logistic regression approach to account for multiple co-existent individual-level variables and county-level poverty rate. Methods Population-based study utilizing Missouri's birth certificate database (1989–1997. We conducted a multilevel logistic regression analysis to estimate the effect of county-level poverty on PTB risk. Of 634,994 births nested within 115 counties in Missouri, two levels were considered. Individual-level variables included demographics factors, prenatal care, health-related behavioral risk factors, and medical risk factors. The area-level variable included the percentage of the population within each county living below the poverty line (US census data, 1990. Counties were divided into quartiles of poverty; the first quartile (lowest rate of poverty was the reference group. Results PTB th quartile (4.9%, p adjOR 1.18 (95% CI 1.03, 1.35, with a similar effect at earlier gestational ages (adjOR 1.27 (95% CI 1.06, 1.52. Conclusion Women residing in socioeconomically deprived areas are at increased risk of preterm birth, above other underlying risk factors. Although the risk increase is modest, it affects a large number of pregnancies.

Multilevel corporate environmental responsibility.

Science.gov (United States)

Karassin, Orr; Bar-Haim, Aviad

2016-12-01

The multilevel empirical study of the antecedents of corporate social responsibility (CSR) has been identified as "the first knowledge gap" in CSR research. Based on an extensive literature review, the present study outlines a conceptual multilevel model of CSR, then designs and empirically validates an operational multilevel model of the principal driving factors affecting corporate environmental responsibility (CER), as a measure of CSR. Both conceptual and operational models incorporate three levels of analysis: institutional, organizational, and individual. The multilevel nature of the design allows for the assessment of the relative importance of the levels and of their components in the achievement of CER. Unweighted least squares (ULS) regression analysis reveals that the institutional-level variables have medium relationships with CER, some variables having a negative effect. The organizational level is revealed as having strong and positive significant relationships with CER, with organizational culture and managers' attitudes and behaviors as significant driving forces. The study demonstrates the importance of multilevel analysis in improving the understanding of CSR drivers, relative to single level models, even if the significance of specific drivers and levels may vary by context. Copyright © 2016 Elsevier Ltd. All rights reserved.

Multilevel geometry optimization

Science.gov (United States)

Rodgers, Jocelyn M.; Fast, Patton L.; Truhlar, Donald G.

2000-02-01

Geometry optimization has been carried out for three test molecules using six multilevel electronic structure methods, in particular Gaussian-2, Gaussian-3, multicoefficient G2, multicoefficient G3, and two multicoefficient correlation methods based on correlation-consistent basis sets. In the Gaussian-2 and Gaussian-3 methods, various levels are added and subtracted with unit coefficients, whereas the multicoefficient Gaussian-x methods involve noninteger parameters as coefficients. The multilevel optimizations drop the average error in the geometry (averaged over the 18 cases) by a factor of about two when compared to the single most expensive component of a given multilevel calculation, and in all 18 cases the accuracy of the atomization energy for the three test molecules improves; with an average improvement of 16.7 kcal/mol.

Multilevel ensemble Kalman filtering

KAUST Repository

Hoel, Hakon

2016-06-14

This work embeds a multilevel Monte Carlo sampling strategy into the Monte Carlo step of the ensemble Kalman filter (EnKF) in the setting of finite dimensional signal evolution and noisy discrete-time observations. The signal dynamics is assumed to be governed by a stochastic differential equation (SDE), and a hierarchy of time grids is introduced for multilevel numerical integration of that SDE. The resulting multilevel EnKF is proved to asymptotically outperform EnKF in terms of computational cost versus approximation accuracy. The theoretical results are illustrated numerically.

Multilevel ensemble Kalman filtering

KAUST Repository

Hoel, Hakon; Law, Kody J. H.; Tempone, Raul

2016-01-01

This work embeds a multilevel Monte Carlo sampling strategy into the Monte Carlo step of the ensemble Kalman filter (EnKF) in the setting of finite dimensional signal evolution and noisy discrete-time observations. The signal dynamics is assumed to be governed by a stochastic differential equation (SDE), and a hierarchy of time grids is introduced for multilevel numerical integration of that SDE. The resulting multilevel EnKF is proved to asymptotically outperform EnKF in terms of computational cost versus approximation accuracy. The theoretical results are illustrated numerically.

Multilevel Models: Conceptual Framework and Applicability

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Roxana-Otilia-Sonia Hrițcu

2015-10-01

Full Text Available Individuals and the social or organizational groups they belong to can be viewed as a hierarchical system situated on different levels. Individuals are situated on the first level of the hierarchy and they are nested together on the higher levels. Individuals interact with the social groups they belong to and are influenced by these groups. Traditional methods that study the relationships between data, like simple regression, do not take into account the hierarchical structure of the data and the effects of a group membership and, hence, results may be invalidated. Unlike standard regression modelling, the multilevel approach takes into account the individuals as well as the groups to which they belong. To take advantage of the multilevel analysis it is important that we recognize the multilevel characteristics of the data. In this article we introduce the outlines of multilevel data and we describe the models that work with such data. We introduce the basic multilevel model, the two-level model: students can be nested into classes, individuals into countries and the general two-level model can be extended very easily to several levels. Multilevel analysis has begun to be extensively used in many research areas. We present the most frequent study areas where multilevel models are used, such as sociological studies, education, psychological research, health studies, demography, epidemiology, biology, environmental studies and entrepreneurship. We support the idea that since hierarchies exist everywhere, multilevel data should be recognized and analyzed properly by using multilevel modelling.

6th Annual state of logistics survey for South Africa 2009

CSIR Research Space (South Africa)

Ittman, H

2010-03-01

Full Text Available the logistics and supply chain sector will need to step up and improve its overall performance whilst taking into account the issue of continual sustainability. In the end the value that logistics adds to the country should be greater than the costs....

School staff perpetration of physical violence against students in Uganda: a multilevel analysis of risk factors.

Science.gov (United States)

Merrill, Katherine G; Knight, Louise; Glynn, Judith R; Allen, Elizabeth; Naker, Dipak; Devries, Karen M

2017-08-18

To conduct a multilevel analysis of risk factors for physical violence perpetration by school staff against Ugandan students. Multilevel logistic regression analysis of cross-sectional survey data from 499 staff and 828 caregivers of students at 38 primary schools, collected in 2012 and 2014 during the Good Schools Study. Luwero District, Uganda. Past-week use of physical violence by school staff against students was measured using the International Society for the Prevention of Child Abuse and Neglect 'Child Abuse Screening Tool- Child International' and the WHO Multi-Country Study on Women's Health and Domestic Violence against Women. Of 499 staff, 215 (43%) reported perpetration of physical violence against students in the past week. Individual risk factors associated with physical violence perpetration included being a teacher versus another type of staff member (pviolence against non-students (pviolence (IPV) (pviolence perpetration compared with male staff who had not been a victim of IPV. No evidence was observed for school- or community-level risk factors. Physical violence perpetration from school staff is widespread, and interventions are needed to address this issue. Staff who have been victims of violence and who use violence against people other than students may benefit from additional interventions. Researchers should further investigate how school and community contexts influence staff's physical violence usage, given a lack of associations observed in this study. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Trends and correlates of the public's perception of healthcare systems in the European Union: a multilevel analysis of Eurobarometer survey data from 2009 to 2013.

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AlSaud, AlJohara M; Taddese, Henock B; Filippidis, Filippos T

2018-01-08

The aim of the study is to assess trends in public perceptions of health systems in 27 European Union (EU) member states following the financial crisis (2009-2013), in order to discuss observed changes in the context of the financial crisis. Repeated cross-sectional studies. 27 EU countries. EU citizens aged 15 years and older. The study mainly uses the Eurobarometer Social Climate Survey, conducted annually between 2009 and 2013, thereby analysing 116 706 observations. A multilevel logistic regression was carried out to analyse trends over time and the factors associated with citizens' perceptions of their healthcare systems. Europeans generally exhibit positive perceptions of their national healthcare systems, 64.0% (95% CI 63.6% to 64.4%). However, we observed a significant drop in positive perceptions in the years following the crisis, especially within countries most affected by the crisis. Concerning fiscal characteristics, wealthier countries and those dedicating higher proportion of their national income to health were more likely to maintain positive perceptions. At the individual level, perceptions of healthcare systems were significantly associated with respondents' self-perceptions of their social status, financial capacity and overall satisfaction in life. Our finding confirms previous observations that citizens' perceptions of their healthcare systems may reflect their overall prospects within the broader socioeconomic systems they live in; which have in turn been affected by the financial crisis and the policy measures instituted in response. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Multilevel geometry optimization

Energy Technology Data Exchange (ETDEWEB)

Rodgers, Jocelyn M. [Department of Chemistry and Supercomputer Institute, University of Minnesota, Minneapolis, Minnesota 55455-0431 (United States); Fast, Patton L. [Department of Chemistry and Supercomputer Institute, University of Minnesota, Minneapolis, Minnesota 55455-0431 (United States); Truhlar, Donald G. [Department of Chemistry and Supercomputer Institute, University of Minnesota, Minneapolis, Minnesota 55455-0431 (United States)

2000-02-15

Geometry optimization has been carried out for three test molecules using six multilevel electronic structure methods, in particular Gaussian-2, Gaussian-3, multicoefficient G2, multicoefficient G3, and two multicoefficient correlation methods based on correlation-consistent basis sets. In the Gaussian-2 and Gaussian-3 methods, various levels are added and subtracted with unit coefficients, whereas the multicoefficient Gaussian-x methods involve noninteger parameters as coefficients. The multilevel optimizations drop the average error in the geometry (averaged over the 18 cases) by a factor of about two when compared to the single most expensive component of a given multilevel calculation, and in all 18 cases the accuracy of the atomization energy for the three test molecules improves; with an average improvement of 16.7 kcal/mol. (c) 2000 American Institute of Physics.

Multilevel models applications using SAS

CERN Document Server

Wang, Jichuan; Fisher, James F

2011-01-01

This book covers a broad range of topics about multilevel modeling. The goal is to help readers to understand the basic concepts, theoretical frameworks, and application methods of multilevel modeling. It is at a level also accessible to non-mathematicians, focusing on the methods and applications of various multilevel models and using the widely used statistical software SAS®. Examples are drawn from analysis of real-world research data.

Explaining individual- and country-level variations in unregistered employment using a multi-level model: evidence from 35 Eurasian countries

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Krasniqi Besnik A.

2017-12-01

Full Text Available The aim of this paper is to evaluate the individual- and country-level variations in unregistered employment. To analyse whether it is marginalised groups who are more likely to engage in unregistered employment and explain the country-level variations, a 2010 Life in Transition Survey (LiTS involving 38,864 interviews in 35 Eurasian countries is reported. Multilevel logistic regression analysis reveals that younger age groups, the divorced, and those with fewer years in education, are more likely to be unregistered employed. On a country-level, meanwhile, the prevalence of unregistered employment is strongly associated with tax morale; the greater the asymmetry between informal and formal institutions, the greater is the prevalence of unregistered employment. It is also higher when GDP per capita as well as social distribution and state intervention (subsidies and transfers, social contribution expenditure, health expenditure are lower. The paper concludes by discussing the theoretical and policy implications.

The median hazard ratio: a useful measure of variance and general contextual effects in multilevel survival analysis.

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Austin, Peter C; Wagner, Philippe; Merlo, Juan

2017-03-15

Multilevel data occurs frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models (MLRM). MLRM incorporate cluster-specific random effects which allow one to partition the total individual variance into between-cluster variation and between-individual variation. Statistically, MLRM account for the dependency of the data within clusters and provide correct estimates of uncertainty around regression coefficients. Substantively, the magnitude of the effect of clustering provides a measure of the General Contextual Effect (GCE). When outcomes are binary, the GCE can also be quantified by measures of heterogeneity like the Median Odds Ratio (MOR) calculated from a multilevel logistic regression model. Time-to-event outcomes within a multilevel structure occur commonly in epidemiological and medical research. However, the Median Hazard Ratio (MHR) that corresponds to the MOR in multilevel (i.e., 'frailty') Cox proportional hazards regression is rarely used. Analogously to the MOR, the MHR is the median relative change in the hazard of the occurrence of the outcome when comparing identical subjects from two randomly selected different clusters that are ordered by risk. We illustrate the application and interpretation of the MHR in a case study analyzing the hazard of mortality in patients hospitalized for acute myocardial infarction at hospitals in Ontario, Canada. We provide R code for computing the MHR. The MHR is a useful and intuitive measure for expressing cluster heterogeneity in the outcome and, thereby, estimating general contextual effects in multilevel survival analysis. © 2016 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd. © 2016 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.

Regional contextual influences on short sleep duration: a 50 universities population-based multilevel study in China.

Science.gov (United States)

Yang, Tingzhong; Peng, Sihui; Barnett, Ross; Zhang, Chichen

2018-01-01

Ecological models have emphasized that short sleep duration (SSD) is influenced by both individual and environmental variables. However, few studies have considered the latter. The present study explores the influence of urban and regional contextual factors, net of individual characteristics, on the prevalence of SSD among university students in China. Participants were 11,954 students, who were identified through a multistage survey sampling process conducted in 50 universities. Individual data were obtained through a self-administered questionnaire, and contextual variables were retrieved from a national database. Multilevel logistic regression models were used to examine urban and regional variations in high and moderate levels of SSD. Overall the prevalence of high SSD (individual- and city-level covariates. Students attending high-level universities also recorded the highest levels of SSD. Of the individual characteristcs, only mother's occupation and student mental health status were related to SSD. The results of this study add important insights about the role of contextual factors affecting SSD among young adults and indicate the need to take into account both past, as well as present, environmental influences to control SSD.

The Association between Overweight and School Policies on Physical Activity: A Multilevel Analysis among Elementary School Youth in the PLAY-On Study

Science.gov (United States)

Leatherdale, Scott T.

2010-01-01

The objective is to examine school-level program and policy characteristics and student-level behavioural characteristics associated with being overweight. Multilevel logistic regression analysis were used to examine the school- and student-level characteristics associated with the odds of a student being overweight among 1264 Grade 5-8 students…

Evaluating the Logistical Service in a Hybrid System of Marketing

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Mônica Vivianne Teixeira Rosa

2016-09-01

Full Text Available The hybrid system of marketing, also referred to as multi-channel, has become an effective strategy of maintaining and expanding markets. However, the success of a new market channel is guided in its ability to provide an effective logistics services. The objective of this study was to identify how the logistical service provided by a new multi-channel distributor is assessed from the perspective of marketing channel agents. It is used an analytical model with dimensions of quality logistics services based on literature. For the analysis of the survey were conducted tests based on statistical inference, as T-Student test, Wilcoxon and Mann-Whitney-Wilcoxon (MWW. Evaluation results showed favorable rates as the logistics service provided by multi-channel and also indicated good levels in the quality of logistics services present in the production chain investigated. However, some dimensions of logistics services surveyed reported rates likely to improvements such as ease of procedures and post-delivery support. It was concluded that the strategy to diversify marketing channels provides strategic resource for organizations, providing opportunities for increased market share, brand consolidation, greater market coverage, logistic skills and differentiation from competitors.

Explaining ethnic polarization over attitudes towards minority rights in Eastern Europe : a multilevel analysis

NARCIS (Netherlands)

Evans, Geoffrey; Need, Ariana

2002-01-01

This paper examines divisions between majority and minority ethnic groups over attitudes towards minority rights in 13 East European societies. Using national sample surveys and multilevel models, we test the effectiveness of competing explanations of ethnic polarization in attitudes towards

Multilevel ensemble Kalman filter

KAUST Repository

Chernov, Alexey; Hoel, Haakon; Law, Kody; Nobile, Fabio; Tempone, Raul

2016-01-01

This work embeds a multilevel Monte Carlo (MLMC) sampling strategy into the Monte Carlo step of the ensemble Kalman filter (EnKF). In terms of computational cost vs. approximation error the asymptotic performance of the multilevel ensemble Kalman filter (MLEnKF) is superior to the EnKF s.

Multilevel ensemble Kalman filter

KAUST Repository

Chernov, Alexey

2016-01-06

This work embeds a multilevel Monte Carlo (MLMC) sampling strategy into the Monte Carlo step of the ensemble Kalman filter (EnKF). In terms of computational cost vs. approximation error the asymptotic performance of the multilevel ensemble Kalman filter (MLEnKF) is superior to the EnKF s.

Teamwork Satisfaction: Exploring the Multilevel Interaction of Teamwork Interest and Group Extraversion

Science.gov (United States)

French, Kimberly A.; Kottke, Janet L.

2013-01-01

Multilevel modeling is used to examine the impact of teamwork interest and group extraversion on group satisfaction. Participants included 206 undergraduates in 65 groups who were surveyed at the beginning and end of a requisite term-length group project for an upper-division university course. We hypothesized that teamwork interest and both…

Multilevel analysis of workplace and individual risk factors for long-term sickness absence

DEFF Research Database (Denmark)

Labriola, Merete; Christensen, Karl B; Lund, Thomas

2006-01-01

OBJECTIVE: The objective of this study was to examine if psychosocial and physical work-environment factors predict long-term sickness absence (>8 weeks) at both the individual and the workplace level. MATERIAL AND METHODS: Data were collected in a prospective study in 52 Danish workplaces....... Psychosocial factors were aggregated as workplace means. We used multilevel logistic regression models with psychosocial factors as predictors of long-term sickness absence over 5 years based on data from a national absence register. RESULTS: Long-term sickness absence was predicted by physical work...

Evaluating Technical Efficiency of Nursing Care Using Data Envelopment Analysis and Multilevel Modeling.

Science.gov (United States)

Min, Ari; Park, Chang Gi; Scott, Linda D

2016-05-23

Data envelopment analysis (DEA) is an advantageous non-parametric technique for evaluating relative efficiency of performance. This article describes use of DEA to estimate technical efficiency of nursing care and demonstrates the benefits of using multilevel modeling to identify characteristics of efficient facilities in the second stage of analysis. Data were drawn from LTCFocUS.org, a secondary database including nursing home data from the Online Survey Certification and Reporting System and Minimum Data Set. In this example, 2,267 non-hospital-based nursing homes were evaluated. Use of DEA with nurse staffing levels as inputs and quality of care as outputs allowed estimation of the relative technical efficiency of nursing care in these facilities. In the second stage, multilevel modeling was applied to identify organizational factors contributing to technical efficiency. Use of multilevel modeling avoided biased estimation of findings for nested data and provided comprehensive information on differences in technical efficiency among counties and states. © The Author(s) 2016.

Are experimental smokers different from their never-smoking classmates? A multilevel analysis of Canadian youth in grades 9 to 12.

Science.gov (United States)

Kaai, S C; Manske, S R; Leatherdale, S T; Brown, K S; Murnaghan, D

2014-07-01

Understanding the characteristics of experimental smoking among youth is critical for designing prevention programs. This study examined which student- and school-level factors differentiated experimental smokers from never smokers in a nationally representative sample of Canadian students in grades 9 to 12. School-level data from the 2006 Canadian Census and one built environment characteristic (tobacco retailer density) were linked with data from secondary school students from the 2008-2009 Canadian Youth Smoking Survey and examined using multilevel logistic regression analyses. Experimental smoking rates varied across schools (p pocket money each week and had a family member or close friend who smoked cigarettes. School-based tobacco prevention programs need to be grade-sensitive and comprehensive in scope; include strategies that can increase students' attachment to their school; and address multi-substance use, tobacco-related beliefs and the use of pocket money. These programs should also reach out to students who have smoking friends and family members. Schools located in rural settings may require additional resources.

Contextual generalized trust and immunization against the 2009 A(H1N1 pandemic in the American states: A multilevel approach

Directory of Open Access Journals (Sweden)

Björn Rönnerstrand

2016-12-01

Full Text Available The aim of the study was to investigate the association between contextual generalized trust and individual-level 2009 A(H1N1 pandemic immunization acceptance. A second aim was to investigate whether knowledge about the A(H1N1 pandemic mediated the association between contextual generalized trust and A(H1N1 immunization acceptance. Data from the National 2009 H1N1 Flu Survey was used. To capture contextual generalized trust, data comes from an aggregation of surveys measuring generalized trust in the American states. To investigate the association between contextual generalized trust and immunization acceptance, while taking potential individual-level confounders into account, multilevel logistic regression was used. The investigation showed contextual generalized trust to be significantly associated with immunization acceptance. However, controlling for knowledge about the A(H1N1 pandemic did not substantially affect the association between contextual generalized trust and immunization acceptance. In conclusion, contextual state-level generalized trust was associated with A(H1N1 immunization, but knowledge about A(H1N1 was not mediating this association. Keywords: Generalized trust, Social capital, Immunization, A(H1N1 pandemic, American states

The downside of marketization: a multilevel analysis of housing tenure and types in reform-era urban China.

Science.gov (United States)

Fu, Qiang; Zhu, Yushu; Ren, Qiang

2015-01-01

Based on data from the 2005 National Population Sample Survey and compiled covariates of 205 prefectures, this research adopted principal-component and multilevel-logistic analyses to study homeownership in urban China. Although the housing reform has severed the link between work units and residence, working in state sectors (government, state-owned enterprises and collective firms) remained significant in determining a household's entitlement to reform-era housing with heavy subsidies or better qualities. While the prefecture-level index of marketization reduced local homeownership of self-built housing, affordable housing and privatized housing, its effect is moderated by cross-level interactions with income, education and working in state sectors across different types of housing. Meanwhile, the index of political and market connections promoted all types of homeownership except for self-built housing. By situating the downside of marketization within a context of urban transformation, this research not only challenges the teleological premise of the neoliberal market transition theory but calls for research on institutional dynamics and social consequences of urban transformation in China. Copyright © 2014 Elsevier Inc. All rights reserved.

Self-rated health in Canadian immigrants: analysis of the Longitudinal Survey of Immigrants to Canada.

Science.gov (United States)

Setia, Maninder Singh; Lynch, John; Abrahamowicz, Michal; Tousignant, Pierre; Quesnel-Vallee, Amelie

2011-03-01

Using a multi-level random effects logistic model, we examine the contribution of source country, individual characteristics and post-migration experiences to the self-rated health (SRH) of 2468 male and 2614 female immigrants from the Longitudinal Survey of Immigrants to Canada (2001-2005). Sex/gender differences were found for all categories of health determinants. Source country characteristics explained away some ethnic differentials in health and had independent negative effects, particularly among women. Thus, women from countries lower on the development index appear at greater risk of poor SRH, and should be at the forefront of public health programmes aimed at new immigrants in Canada. Copyright © 2011 Elsevier Ltd. All rights reserved.

Advancing multilevel thinking and methods in HRM research

NARCIS (Netherlands)

Renkema, Maarten; Meijerink, Jeroen Gerard; Bondarouk, Tatiana

2016-01-01

Purpose Despite the growing belief that multilevel research is necessary to advance HRM understanding, there remains a lack of multilevel thinking – the application of principles for multilevel theory building. The purpose of this paper is to propose a systematic approach for multilevel HRM

Using multilevel modelling to assess case-mix adjusters in consumers experience surveys in health care

NARCIS (Netherlands)

Damman, O.C.; Stubbe, J.H.; Hendriks, M.; Arah, O.A.; Spreeuwenberg, P.; Delnoij, D.M.J.; Groenewegen, P.P.

2009-01-01

Background: Ratings on the quality of healthcare from the consumer’s perspective need to be adjusted for consumer characteristics to ensure fair and accurate comparisons between healthcare providers or health plans. Although multilevel analysis is already considered an appropriate method for

Using multilevel modeling to assess case-mix adjusters in consumer experience surveys in health care.

NARCIS (Netherlands)

Damman, O.C.; Stubbe, J.H.; Hendriks, M.; Arah, O.A.; Spreeuwenberg, P.; Delnoij, D.M.J.; Groenewegen, P.P.

2009-01-01

Background: Ratings on the quality of healthcare from the consumer’s perspective need to be adjusted for consumer characteristics to ensure fair and accurate comparisons between healthcare providers or health plans. Although multilevel analysis is already considered an appropriate method for

Using Multilevel Modeling to Assess Case-Mix Adjusters in Consumer Experience Surveys in Health Care

NARCIS (Netherlands)

Damman, Olga C.; Stubbe, Janine H.; Hendriks, Michelle; Arah, Onyebuchi A.; Spreeuwenberg, Peter; Delnoij, Diana M. J.; Groenewegen, Peter P.

2009-01-01

Background: Ratings on the quality of healthcare from the consumer's perspective need to be adjusted for consumer characteristics to ensure fair and accurate comparisons between healthcare providers or health plans. Although multilevel analysis is already considered an appropriate method for

Spousal Violence in 5 Transitional Countries: A Population-Based Multilevel Analysis of Individual and Contextual Factors.

Science.gov (United States)

Ismayilova, Leyla

2015-11-01

I examined the individual- and community-level factors associated with spousal violence in post-Soviet countries. I used population-based data from the Demographic and Health Survey conducted between 2005 and 2012. My sample included currently married women of reproductive age (n = 3932 in Azerbaijan, n = 4053 in Moldova, n = 1932 in Ukraine, n = 4361 in Kyrgyzstan, and n = 4093 in Tajikistan). I selected respondents using stratified multistage cluster sampling. Because of the nested structure of the data, multilevel logistic regressions for survey data were fitted to examine factors associated with spousal violence in the last 12 months. Partner's problem drinking was the strongest risk factor associated with spousal violence in all 5 countries. In Moldova, Ukraine, and Kyrgyzstan, women with greater financial power than their spouses were more likely to experience violence. Effects of community economic deprivation and of empowerment status of women in the community on spousal violence differed across countries. Women living in communities with a high tolerance of violence faced a higher risk of spousal violence in Moldova and Ukraine. In more traditional countries (Azerbaijan, Kyrgyzstan, and Tajikistan), spousal violence was lower in conservative communities with patriarchal gender beliefs or higher financial dependency on husbands. My findings underscore the importance of examining individual risk factors in the context of community-level factors and developing individual- and community-level interventions.

A multilevel nonlinear mixed-effects approach to model growth in pigs

DEFF Research Database (Denmark)

Strathe, Anders Bjerring; Danfær, Allan Christian; Sørensen, H.

2010-01-01

Growth functions have been used to predict market weight of pigs and maximize return over feed costs. This study was undertaken to compare 4 growth functions and methods of analyzing data, particularly one that considers nonlinear repeated measures. Data were collected from an experiment with 40...... pigs maintained from birth to maturity and their BW measured weekly or every 2 wk up to 1,007 d. Gompertz, logistic, Bridges, and Lopez functions were fitted to the data and compared using information criteria. For each function, a multilevel nonlinear mixed effects model was employed because....... Furthermore, studies should consider adding continuous autoregressive process when analyzing nonlinear mixed models with repeated measures....

The state of logistics: Research priorities for sustained improvement

Directory of Open Access Journals (Sweden)

Esbeth van Dyk

2008-11-01

Full Text Available The importance of logistics and supply chain management for the South African economy was re-emphasised by the findings of the CSIR’s third annual State of Logistics Survey. To meet current and future demands, the research agenda for logistics needs to be wider than the traditional (mainstream focus. System inefficiencies as well as specific non-traditional areas need to be explored, e.g. the integration of rural and small businesses, government service delivery, sector cooperation, and emergency logistics. This article provides a brief overview of the current state of logistics in the country and the government’s response in terms of the National Freight Logistics Strategy. Research needs, research priorities and the role of research organisations are discussed.

Unintended pregnancy in the amazon basin of Ecuador: a multilevel analysis

Directory of Open Access Journals (Sweden)

San Sebastian Miguel

2010-06-01

Full Text Available Abstract Background It has been estimated that each year 80 million women in the world experience an unintended pregnancy. In Ecuador, recent research has revealed that 36.3% of total births are unintended; the research also details significant geographical, ethnic and socioeconomic variations. These studies focused on individual risk factors and were based on large national surveys where local samples, particularly from rural remote areas, were small. The purpose of this study was to investigate the influence of contextual and individual factors on unintended pregnancies in the Amazon Basin of Ecuador. Methods Women aged 15-44 were selected through an ongoing community-based cross-sectional survey conducted in the Orellana province between May and December 2006. Data were fitted using multilevel logistic regression, adjusting for both individual-level and community-level factors as fixed effects and allowing for heterogeneity between communities. Results The overall prevalence of unintended pregnancy was 62.7%. Two-thirds (73.7% of indigenous women reported having had at least one unintended pregnancy. Being young, single, and indigenous were significant risk factors for unintended pregnancy, alongside having low access to education and having more than two children. No relationship was found between socioeconomic status and the use of contraceptives. All the variation between communities was explained by individual-level factors. Conclusions This study showed the significance of individual factors in increasing the risk of unintended pregnancy, while the role of community factors was found to be negligible. In order for all women to be able to realize their right to reproductive autonomy, there needs to be a diverse range of solutions, with particular attention paid to cultural issues.

The Differences between Multilevel Marketing and the Financial Pyramids or “Pyramid Scheme”

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Vanessa Braga Santos

2017-06-01

Full Text Available This research aims to analyze and understand the difference between the concept of Multilevel Marketing and the Financial Pyramids. The main objective of this work is to clarify the differences between these two business models that are growing worldwide and also present concepts that show the success of professionals in this kind of new business model. Multilevel Marketing shows a sustainable system, a direct selling business that includes recruiting distributors with a profit share and also by recruiting new members. In the Financial Pyramid concept, the problem is that business support is the network itself, and often there are no products to be commercialized, so this model is unsustainable and considered as an illegal business in several countries, including Brazil. Within this approach, a case study was conducted with one of the largest Multilevel Marketing companies in the world, Mary Kay. We conducted a direct interview with one of Mary Kay Independent Sales Directors from the city of Piracicaba, held in October 2016, and collected data surveys from the internet. The markets today are based on moving products, so we concluded that Multilevel Marketing is a great business opportunity to make an extra income by marketing services and products.

The Effect of Gender and Social Capital on the Dual Burden of Malnutrition: A Multilevel Study in Indonesia

Science.gov (United States)

Vaezghasemi, Masoud; Öhman, Ann; Eriksson, Malin; Hakimi, Mohammad; Weinehall, Lars; Kusnanto, Hari; Ng, Nawi

2014-01-01

Introduction The paradoxical phenomenon of the coexistence of overweight and underweight individuals in the same household, referred to as the “dual burden of malnutrition”, is a growing nutrition dilemma in low- and middle-income countries (LMICs). Aims The objectives of this study were (i) to examine the extent of the dual burden of malnutrition across different provinces in Indonesia and (ii) to determine how gender, community social capital, place of residency and other socio-economic factors affect the prevalence of the dual burden of malnutrition. Methods The current study utilized data from the fourth wave of the Indonesian Family Life Survey (IFLS) conducted between November 2007 and April 2008. The dataset contains information from 12,048 households and 45,306 individuals of all ages. This study focused on households with individuals over two years old. To account for the multilevel nature of the data, a multilevel multiple logistic regression was conducted. Results Approximately one-fifth of all households in Indonesia exhibited the dual burden of malnutrition, which was more prevalent among male-headed households, households with a high Socio-economic status (SES), and households in urban areas. Minimal variation in the dual burden of malnutrition was explained by the community level differences (malnutrition but not among female-headed households and communities with the highest social capital. Conclusion To improve household health and reduce the inequality across different SES groups, this study emphasizes the inclusion of women's empowerment and community social capital into intervention programs addressing the dual burden of malnutrition. PMID:25153321

Multilevel marketing společnosti Amway

OpenAIRE

Drozdková, Markéta

2010-01-01

This thesis analyses effectiveness and principles of multilevel marketing as a possible way of selling products and services. Theoretical part describes basis of marketing and direct selling, which is the basis of multilevel marketing. The thesis also states illegal forms of selling that misuse the advantages of multilevel marketing. Pracical part applies gained knowledge on Amway corporation and it atteds to operation of the company, which is evaluated by SWOT analysis.

Fifth annual state of logistics survey for South Africa: logistics value and cost drivers from a macro and micro-economic perspective

CSIR Research Space (South Africa)

Ittmann, HW

2008-01-01

Full Text Available of skills in logistics. A previous supply chain foresight study referred to the “skills time-bomb” in logistics.3 The situation still prevails and serious attention is required to attend to this situation at all the various skills levels. Another addition...

Stages of syphilis in South China – a multilevel analysis of early diagnosis

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Ngai Sze Wong

2017-01-01

Full Text Available Abstract Background Early diagnosis of syphilis and timely treatment can effectively reduce ongoing syphilis transmission and morbidity. We examined the factors associated with the early diagnosis of syphilis to inform syphilis screening strategic planning. Methods In an observational study, we analyzed reported syphilis cases in Guangdong Province, China (from 2014 to mid-2015 accessed from the national case-based surveillance system. We categorized primary and secondary syphilis cases as early diagnosis and categorized latent and tertiary syphilis as delayed diagnosis. Univariate analyses and multivariable logistic regressions were performed to identify the factors associated with early diagnosis. We also examined the factors associated with early diagnosis at the individual and city levels in multilevel logistic regression models with cases nested by city (n = 21, adjusted for age at diagnosis and gender. Results Among 83,944 diagnosed syphilis cases, 22% were early diagnoses. The city-level early diagnosis rate ranged from 7 to 46%, consistent with substantial geographic variation as shown in the multilevel model. Early diagnosis was associated with cases presenting to specialist clinics for screening, being male and attaining higher education level. Cases received syphilis testing in institutions and hospitals, and diagnosed in hospitals were less likely to be in early diagnosis. At the city-level, cases living in a city equipped with more hospitals per capita were less likely to be early diagnosis. Conclusions To enhance early diagnosis of syphilis, city-specific syphilis screening strategies with a mix of passive and client/provider-initiated testing might be a useful approach.

Why medical students choose psychiatry - a 20 country cross-sectional survey.

Science.gov (United States)

Farooq, Kitty; Lydall, Gregory J; Malik, Amit; Ndetei, David M; Bhugra, Dinesh

2014-01-15

Recruitment to psychiatry is insufficient to meet projected mental health service needs world-wide. We report on the career plans of final year medical students from 20 countries, investigating factors identified from the literature which influence psychiatric career choice. Cross sectional electronic or paper survey. Subjects were final year medical students at 46 medical schools in participating countries. We assessed students' career intentions, motivations, medical school teaching and exposure to psychiatry. We assessed students' attitudes and personality factors. The main outcome measure was likelihood of specializing in psychiatry. Multilevel logistic regression was used to examine the joint effect of factors upon the main outcome. 2198 of 9135 (24%) of students responded (range 4 to 91%) across the countries. Internationally 4.5% of students definitely considered psychiatry as a career (range 1 to 12%). 19% of students (range 0 to 33%) were "quite likely", and 25% were "definitely not" considering psychiatry. Female gender, experience of mental/physical illness, media portrayal of doctors, and positive attitudes to psychiatry, but not personality factors, were associated with choosing psychiatry. Quality of psychiatric placement (correlation coefficient = 0.22, p school, experience of psychiatric enrichment activities (special studies modules and university psychiatry clubs), experience of acutely unwell patients and perceived clinical responsibility were all associated with choice of psychiatry.Multilevel logistic regression revealed six factors associated with students choosing psychiatry: importance of own vocation, odds ratio (OR) 3.01, 95% CI 1.61 to 5.91, p school, OR 10.8 (5.38 to 21.8, p student selection and psychiatry teaching which affect career choice. Addressing these factors may improve recruitment to psychiatry internationally.

A Container-based Trusted Multi-level Security Mechanism

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Li Xiao-Yong

2017-01-01

Full Text Available Multi-level security mechanism has been widely applied in the military, government, defense and other domains in which information is required to be divided by security-level. Through this type of security mechanism, users at different security levels are provided with information at corresponding security levels. Traditional multi-level security mechanism which depends on the safety of operating system finally proved to be not practical. We propose a container-based trusted multi-level security mechanism in this paper to improve the applicability of the multi-level mechanism. It guarantees multi-level security of the system through a set of multi-level security policy rules and trusted techniques. The technical feasibility and application scenarios are also discussed. The ease of realization, strong practical significance and low cost of our method will largely expand the application of multi-level security mechanism in real life.

School Climate for Academic Success: A Multilevel Analysis of School Climate and Student Outcomes

Science.gov (United States)

Kwong, Darren; Davis, Jonathan Ryan

2015-01-01

This multilevel study examined the relationship between school climate and academic achievement. Using the Educational Longitudinal Survey (ELS, 2002), and a sample of 16,258 students and 1954 schools nationwide, we found that student-level perception of school climate--especially the student learning environment--was highly predictive of academic…

Abriendo Puertas: Feasibility and Effectiveness a Multi-Level Intervention to Improve HIV Outcomes Among Female Sex Workers Living with HIV in the Dominican Republic.

Science.gov (United States)

Kerrigan, Deanna; Barrington, Clare; Donastorg, Yeycy; Perez, Martha; Galai, Noya

2016-09-01

Female sex workers (FSW) are disproportionately affected by HIV. Yet, few interventions address the needs of FSW living with HIV. We developed a multi-level intervention, Abriendo Puertas (Opening Doors), and assessed its feasibility and effectiveness among a cohort of 250 FSW living with HIV in the Dominican Republic. We conducted socio-behavioral surveys and sexually transmitted infection and viral load testing at baseline and 10-month follow-up. We assessed changes in protected sex and adherence to antiretroviral therapy (ART) with logistic regression using generalized estimating equations. Significant pre-post intervention changes were documented for adherence (72-89 %; p sex (71-81 %; p sex (AOR 1.76; 95 % CI 1.09-2.84). Illicit drug use was negatively associated with both ART adherence and protected sex. Abriendo Puertas is feasible and effective in improving behavioral HIV outcomes in FSW living with HIV.

Increasing competitiveness with intercompany integration of logistics and marketing functions

Directory of Open Access Journals (Sweden)

Darja Topolšek

2016-03-01

Full Text Available Researchers of different scientific disciplines, such as management strategies, organizational theories and marketing, have in the past explored relations of mutual influences and the importance of cooperation between different functions in a company. The increased focus on the logistics function has potential to increase competitiveness. This is especially true for globally aimed production companies. In any company, logistics functions cooperate with various related functions such as production, marketing, procurement, engineering or developing new products as well as with financial functions. Each of the aforementioned connections or cooperation among logistics and its complementary functions can have a decisive effect on the company's competitiveness. Using a survey, we determined which activities in the surveyed companies are performed by the logistical function together with the marketing function and which activities they suggest should be performed together but are currently not, meaning they are co-dependent. Since interfunctional integration between logistics and marketing increases the success of a company, we also examined the connection between the current joint performance of activities and the suggested joint performance of activities among the before mentioned sectors, connected to the effectiveness of the company. To examine the mentioned connections among the logistical and marketing functions, Explanatory Factor Analysis (EFA, Confirmatory Factor Analysis (CFA and Structural Equation Modelling (SEM were performed.

Multi-Level Secure Local Area Network

OpenAIRE

Naval Postgraduate School (U.S.); Center for Information Systems Studies Security and Research (CISR)

2011-01-01

Multi-Level Secure Local Area Network is a cost effective, multi-level, easy to use office environment leveraging existing high assurance technology. The Department of Defense and U.S. Government have an identified need to securely share information classified at differing security levels. Because there exist no commercial solutions to this problem, NPS is developing a MLS LAN. The MLS LAN extends high assurance capabilities of an evaluated multi-level secure system to commercial personal com...

Country of residence, gender equality and victim blaming attitudes about partner violence: a multilevel analysis in EU.

Science.gov (United States)

Ivert, Anna-Karin; Merlo, Juan; Gracia, Enrique

2017-09-27

Intimate partner violence against women (IPVAW) is a global and preventable public health problem. Public attitudes, such as victim-blaming, are important for our understanding of differences in the occurrence of IPVAW, as they contribute to its justification. In this paper, we focus on victim-blaming attitudes regarding IPVAW within the EU and we apply multilevel analyses to identify contextual determinants of victim-blaming attitudes. We investigate both the general contextual effect of the country and the specific association between country level of gender equality and individual victim-blaming attitudes, as well as to what extend a possible general contextual effect was explained by county level gender equality. We analyzed data from 26 800 respondents from 27 member states of the European Union who responded to a survey on public perceptions of domestic violence. We applied multilevel logistic regression analysis and measures of variance (intra-class correlation (ICC)) were calculated, as well as the discriminatory accuracy by calculating the area under the receiver operator characteristic curve. Over and above individual characteristics, about 15% of the individual variance in the propensity for having victim-blaming attitudes was found at the country level, and country level of gender equality did not affect the general contextual effect (i.e. ICC) of the country on individual victim-blaming attitudes. The present study shows that there are important between-country differences in victim-blaming attitudes that cannot be explained by differences in individual-level demographics or in gender equality at the country level. More research on attitudes towards IPVAW is needed. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Travel time to maternity care and its effect on utilization in rural Ghana: a multilevel analysis.

Science.gov (United States)

Masters, Samuel H; Burstein, Roy; Amofah, George; Abaogye, Patrick; Kumar, Santosh; Hanlon, Michael

2013-09-01

Rates of neonatal and maternal mortality are high in Ghana. In-facility delivery and other maternal services could reduce this burden, yet utilization rates of key maternal services are relatively low, especially in rural areas. We tested a theoretical implication that travel time negatively affects the use of in-facility delivery and other maternal services. Empirically, we used geospatial techniques to estimate travel times between populations and health facilities. To account for uncertainty in Ghana Demographic and Health Survey cluster locations, we adopted a novel approach of treating the location selection as an imputation problem. We estimated a multilevel random-intercept logistic regression model. For rural households, we found that travel time had a significant effect on the likelihood of in-facility delivery and antenatal care visits, holding constant education, wealth, maternal age, facility capacity, female autonomy, and the season of birth. In contrast, a facility's capacity to provide sophisticated maternity care had no detectable effect on utilization. As the Ghanaian health network expands, our results suggest that increasing the availability of basic obstetric services and improving transport infrastructure may be important interventions. Copyright © 2013 Elsevier Ltd. All rights reserved.

Modeling Multi-Level Systems

CERN Document Server

Iordache, Octavian

2011-01-01

This book is devoted to modeling of multi-level complex systems, a challenging domain for engineers, researchers and entrepreneurs, confronted with the transition from learning and adaptability to evolvability and autonomy for technologies, devices and problem solving methods. Chapter 1 introduces the multi-scale and multi-level systems and highlights their presence in different domains of science and technology. Methodologies as, random systems, non-Archimedean analysis, category theory and specific techniques as model categorification and integrative closure, are presented in chapter 2. Chapters 3 and 4 describe polystochastic models, PSM, and their developments. Categorical formulation of integrative closure offers the general PSM framework which serves as a flexible guideline for a large variety of multi-level modeling problems. Focusing on chemical engineering, pharmaceutical and environmental case studies, the chapters 5 to 8 analyze mixing, turbulent dispersion and entropy production for multi-scale sy...

Empowering leaders optimize working conditions for engagement: a multilevel study.

Science.gov (United States)

Tuckey, Michelle R; Bakker, Arnold B; Dollard, Maureen F

2012-01-01

Using a multilevel framework, this study examined the role of empowering leadership at the group level by fire brigade captains in facilitating the individual level motivational processes that underpin work engagement in volunteer firefighters. Anonymous mail surveys were completed by 540 volunteer firefighters from 68 fire brigades and, separately, by 68 brigade captains. As predicted on the basis of the Job Demands-Resources model, increased levels of cognitive demands and cognitive resources partially mediated the relationship between empowering leadership and work engagement. In a three-way Leadership × Demands × Resources interaction, empowering leadership also had the effect of optimizing working conditions for engagement by strengthening the positive effect of a work context in which both cognitive demands and cognitive resources were high. Our findings shed light on a process through which leaders can empower workers and enhance well-being: via their influence on and interaction with the work environment. They also underscore the need to examine work engagement from a multilevel theoretical perspective.

Retention of Children and Their Families in the Longitudinal Outcome Study of the Comprehensive Community Mental Health Services for Children and Their Families Program: A Multilevel Analysis

Science.gov (United States)

Gebreselassie, Tesfayi; Stephens, Robert L.; Maples, Connie J.; Johnson, Stacy F.; Tucker, Alyce L.

2014-01-01

Predictors of retention of participants in a longitudinal study and heterogeneity between communities were investigated using a multilevel logistic regression model. Data from the longitudinal outcome study of the national evaluation of the Comprehensive Community Mental Health Services for Children and Their Families program and information on…

A multilevel variable neighborhood search heuristic for a practical vehicle routing and driver scheduling problem

DEFF Research Database (Denmark)

Wen, Min; Krapper, Emil; Larsen, Jesper

2011-01-01

in their fresh meat supply logistics system. The problem consists of a 1‐week planning horizon, heterogeneous vehicles, and drivers with predefined work regulations. These regulations include, among other things, predefined workdays, fixed starting time, maximum weekly working duration, and a break rule......The world's second largest producer of pork, Danish Crown, also provides a fresh meat supply logistics system within Denmark. This is used by the majority of supermarkets in Denmark. This article addresses an integrated vehicle routing and driver scheduling problem arising at Danish Crown....... The objective is to minimize the total delivery cost that is a weighted sum of two kinds of delivery costs. A multilevel variable neighborhood search heuristic is proposed for the problem. In a preprocessing step, the problem size is reduced through an aggregation procedure. Thereafter, the aggregated weekly...

Brief Report: Multilevel Analysis of School Smoking Policy and Pupil Smoking Behaviour in Wales

Science.gov (United States)

Wiium, Nora; Burgess, Stephen; Moore, Laurence

2011-01-01

A multilevel analysis of cross-sectional data from a survey involving 1941 pupils (in grades 10 and 11) and policy indicators developed from interviews with staff from 45 secondary schools in Wales examined the hypotheses that pupil smoking prevalence would be associated with: restrictive staff and pupil smoking policies; dissemination of school…

An Integrative, Multilevel, and Transdisciplinary Research Approach to Challenges of Work, Family, and Health

Science.gov (United States)

Bray, Jeremy W.; Kelly, Erin L.; Hammer, Leslie B.; Almeida, David M.; Dearing, James W.; King, Rosalind B.; Buxton, Orfeu M.

2013-01-01

Recognizing a need for rigorous, experimental research to support the efforts of workplaces and policymakers in improving the health and wellbeing of employees and their families, the National Institutes of Health and the Centers for Disease Control and Prevention formed the Work, Family & Health Network (WFHN). The WFHN is implementing an innovative multisite study with a rigorous experimental design (adaptive randomization, control groups), comprehensive multilevel measures, a novel and theoretically based intervention targeting the psychosocial work environment, and translational activities. This paper describes challenges and benefits of designing a multilevel and transdisciplinary research network that includes an effectiveness study to assess intervention effects on employees, families, and managers; a daily diary study to examine effects on family functioning and daily stress; a process study to understand intervention implementation; and translational research to understand and inform diffusion of innovation. Challenges were both conceptual and logistical, spanning all aspects of study design and implementation. In dealing with these challenges, however, the WFHN developed innovative, transdisciplinary, multi-method approaches to conducting workplace research that will benefit both the research and business communities. PMID:24618878

Nordic research in logistics and supply chain management

DEFF Research Database (Denmark)

Arlbjørn, Jan Stentoft; Jonsson, Patrik; Johansen, John

2006-01-01

management and to explain how the discipline differs in terms of demographics, research areas, methodological approach, resources and publication. The analysis is conducted in a Nordic research context through a survey distributed to persons with research interest in logistics and supply chain management......This article reflects on research completed within logistics and supply chain management in the Nordic countries based on an empirical analysis. The purpose of this paper is to describe the characteristics of the Nordic academic discipline working in the field of logistics and supply chain....... The research does not provide clear empirical evidence of the contours of a Nordic research paradigm within logistics and supply chain management. The analysis shows that the significant and typical research issues among the Nordic researchers are the focus on supply chains/networks as the most important...

Who controls the logistics emissions? Challenges in making fragmented supply chains environmentally sustainable from logistics service providers’ perspective

DEFF Research Database (Denmark)

Abbasi, Maisam; Sternberg, Henrik; Nilsson, Fredrik

2014-01-01

that impact the cost and time requirements from customers of logistics services are not yet a reality. Research limitations/implications (if applicable) This paper implies that LSP sustainability cannot be investigated in isolation if a company does not manage proprietary resources. Practical implications (if......Purpose The purpose of this article is to explore the environmental impact of Logistics Service Provider (LSP) activities in the light of increased customer attention and fragmentation of the industry. It also explores to what extent the LSPs can actually monitor the environmental impact...... of logistics activities in the supply chain? Design/methodology/approach The methodology of this paper is a literature review, a qualitative interview survey, and three case studies. A framework on sustainability challenges in supply chains derived from the literature is used to structure and analyze...

Multilevel Modulation formats for Optical Communication

DEFF Research Database (Denmark)

Jensen, Jesper Bevensee

2008-01-01

This thesis studies the use of multilevel modulation formats for optical communication systems. Multilevel modulation is an attractive method of increasing the spectral efficiency of optical communication systems. Various modulation formats employing phase modulation, amplitude modulation...... or a combination of the two have been studied. The use of polarization multiplexing (PolMux) to double the bit rate has also been investigated. The impact of transmission impairments such as chromatic dispersion, self phase modulation and cross phase modulation has been investigated. The feasibility of multilevel...... modulation for network oriented scenarios has been demonstrated....

Managing Reverse Logistics or Reversing Logistics Management?

OpenAIRE

Brito, Marisa

2004-01-01

textabstractIn the past, supply chains were busy fine-tuning the logistics from raw material to the end customer. Today an increasing flow of products is going back in the chain. Thus, companies have to manage reverse logistics as well.This thesis contributes to a better understanding of reverse logistics. The thesis brings insights on reverse logistics decision-making and it lays down theoretical principles for reverse logistics as a research field.In particular it puts together a framework ...

One-Level or Multilevel Interbody Fusion for Multilevel Lumbar Degenerative Diseases: A Prospective Randomized Control Study with a 4-Year Follow-Up.

Science.gov (United States)

Li, Tiefeng; Shi, Lei; Luo, Yibin; Chen, Deyu; Chen, Yu

2018-02-01

The treatment of multilevel lumbar degenerative disease (LDD) is complicated and challenging, and the optimal surgical strategy remains controversial. To compare the differences in clinical and radiologic outcomes and in complications after 1-level interbody fusion versus multilevel interbody fusion for the treatment of multilevel LDD. A total of 100 patients with multilevel LDD were randomized in a 1:1 ratio into the 1-level interbody fusion group or the multilevel interbody fusion group. Clinical and radiologic results and major complications in the 2 groups were analyzed. Clinical outcomes were assessed using the Visual Analog Scale for radicular and back pain, the Oswestry Disability Index, and the short-form 36 physical score. Clinical status was assessed by the Whitecloud classification. Radiologic evaluation included assessment of lumbar lordosis, pelvic incidence, and sacral slope. There were no significant differences in clinical and radiologic results between the 2 groups. Procedure duration and intraoperative blood loss were significantly greater in the multilevel interbody fusion group than in the 1-level interbody fusion group; the multilevel interbody fusion group also had greater incidences of temporary nerve root palsy, wound infection, and adjacent segment disease. A hybrid technique including 1-level interbody fusion and multilevel posterolateral fusion is recommended for patients with multilevel LDD. Copyright © 2017 Elsevier Inc. All rights reserved.

The effect of gender and social capital on the dual burden of malnutrition: a multilevel study in Indonesia.

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Masoud Vaezghasemi

Full Text Available INTRODUCTION: The paradoxical phenomenon of the coexistence of overweight and underweight individuals in the same household, referred to as the "dual burden of malnutrition", is a growing nutrition dilemma in low- and middle-income countries (LMICs. AIMS: The objectives of this study were (i to examine the extent of the dual burden of malnutrition across different provinces in Indonesia and (ii to determine how gender, community social capital, place of residency and other socio-economic factors affect the prevalence of the dual burden of malnutrition. METHODS: The current study utilized data from the fourth wave of the Indonesian Family Life Survey (IFLS conducted between November 2007 and April 2008. The dataset contains information from 12,048 households and 45,306 individuals of all ages. This study focused on households with individuals over two years old. To account for the multilevel nature of the data, a multilevel multiple logistic regression was conducted. RESULTS: Approximately one-fifth of all households in Indonesia exhibited the dual burden of malnutrition, which was more prevalent among male-headed households, households with a high Socio-economic status (SES, and households in urban areas. Minimal variation in the dual burden of malnutrition was explained by the community level differences (<4%. Living in households with a higher SES resulted in higher odds of the dual burden of malnutrition but not among female-headed households and communities with the highest social capital. CONCLUSION: To improve household health and reduce the inequality across different SES groups, this study emphasizes the inclusion of women's empowerment and community social capital into intervention programs addressing the dual burden of malnutrition.

Multilevel index decomposition analysis: Approaches and application

International Nuclear Information System (INIS)

Xu, X.Y.; Ang, B.W.

2014-01-01

With the growing interest in using the technique of index decomposition analysis (IDA) in energy and energy-related emission studies, such as to analyze the impacts of activity structure change or to track economy-wide energy efficiency trends, the conventional single-level IDA may not be able to meet certain needs in policy analysis. In this paper, some limitations of single-level IDA studies which can be addressed through applying multilevel decomposition analysis are discussed. We then introduce and compare two multilevel decomposition procedures, which are referred to as the multilevel-parallel (M-P) model and the multilevel-hierarchical (M-H) model. The former uses a similar decomposition procedure as in the single-level IDA, while the latter uses a stepwise decomposition procedure. Since the stepwise decomposition procedure is new in the IDA literature, the applicability of the popular IDA methods in the M-H model is discussed and cases where modifications are needed are explained. Numerical examples and application studies using the energy consumption data of the US and China are presented. - Highlights: • We discuss the limitations of single-level decomposition in IDA applied to energy study. • We introduce two multilevel decomposition models, study their features and discuss how they can address the limitations. • To extend from single-level to multilevel analysis, necessary modifications to some popular IDA methods are discussed. • We further discuss the practical significance of the multilevel models and present examples and cases to illustrate

THE KEY ACTIVITIES OF GREEN LOGISTICS MANAGEMENT IN THE THAI AUTOMOTIVE INDUSTRY

OpenAIRE

Thanyaphat Muangpan; Mana Chaowarat; Jutaporn Neamvonk

2016-01-01

Thai automotive industry needs to be developed for understanding activities management on inbound logistics that is an essential element of business operations for a manufacturing firm. The purpose of research is to study the main activities of green logistics management (inbound logistics) in the Thai automotive industry. Survey research was used in this study to collect data by sampling from the people in the field of logistics and environmental management of Thai automotive industry to exa...

Indicators as an Instrument of Measurement in Management Accounting in Logistics Enterprises in Poland

Directory of Open Access Journals (Sweden)

Justyna Dobroszek

2015-12-01

Full Text Available Purpose: The purpose of this study was to present the extent to which indicators applied by logistics providers in Poland measure logistics-related processes and performance in the context of implementing the concept of management accounting in the enterprises that were researched. Methodology: The research methods used by the authors included a literature review of mainly German and Polish publications and survey research conducted in 2011–2013 among logistics enterprises in Poland. This study served as the basis for verifying four hypotheses and formulating conclusions. Findings: The main results of this study showed that management accounting systems are implemented in about half of then logistics providers in Poland covered by the survey. 75% of all enterprises conducted indicator analysis to evaluate logistics processes, costs and performance, and 90% of the indicators used by these enterprises were of a financial nature. Research limitations: The main limitation of the research was associated with conducting the survey. The low return rate of completed questionnaires did not allow for a detailed analysis of the undertaken subject to be conducted. Moreover, the research results cannot be generalized to all logistics companies in Poland. Originality: The study was the first review of the application of indicators in logistics companies in Poland in relation to the implementation of the management accounting concept. The study provides knowledge about how Polish logistics enterprises use indicators as an important management accounting instrument.

Multilevel sequential Monte-Carlo samplers

KAUST Repository

Jasra, Ajay

2016-01-01

Multilevel Monte-Carlo methods provide a powerful computational technique for reducing the computational cost of estimating expectations for a given computational effort. They are particularly relevant for computational problems when approximate distributions are determined via a resolution parameter h, with h=0 giving the theoretical exact distribution (e.g. SDEs or inverse problems with PDEs). The method provides a benefit by coupling samples from successive resolutions, and estimating differences of successive expectations. We develop a methodology that brings Sequential Monte-Carlo (SMC) algorithms within the framework of the Multilevel idea, as SMC provides a natural set-up for coupling samples over different resolutions. We prove that the new algorithm indeed preserves the benefits of the multilevel principle, even if samples at all resolutions are now correlated.

Multilevel sequential Monte-Carlo samplers

KAUST Repository

Jasra, Ajay

2016-01-05

Multilevel Monte-Carlo methods provide a powerful computational technique for reducing the computational cost of estimating expectations for a given computational effort. They are particularly relevant for computational problems when approximate distributions are determined via a resolution parameter h, with h=0 giving the theoretical exact distribution (e.g. SDEs or inverse problems with PDEs). The method provides a benefit by coupling samples from successive resolutions, and estimating differences of successive expectations. We develop a methodology that brings Sequential Monte-Carlo (SMC) algorithms within the framework of the Multilevel idea, as SMC provides a natural set-up for coupling samples over different resolutions. We prove that the new algorithm indeed preserves the benefits of the multilevel principle, even if samples at all resolutions are now correlated.

Second annual state of logistics survey for South Africa: Defining research priorities for developmental logistics

CSIR Research Space (South Africa)

Ittmann, HW

2005-11-01

Full Text Available for the foreseeable future. Annual growth rates of 6% are being predicted - something that is almost unheard of in our country. These growth rates can be achieved through the commitment of both public and private sectors. In this context, the new National Freight.... This is to be expected, since the huge investment of government into the logistics infrastructure will take time to have the desired effect and impact. Nevertheless, all indications are that appropriate interventions have been planned and now need to be implemented...

Why medical students choose psychiatry - a 20 country cross-sectional survey

Science.gov (United States)

2014-01-01

Background Recruitment to psychiatry is insufficient to meet projected mental health service needs world-wide. We report on the career plans of final year medical students from 20 countries, investigating factors identified from the literature which influence psychiatric career choice. Methods Cross sectional electronic or paper survey. Subjects were final year medical students at 46 medical schools in participating countries. We assessed students’ career intentions, motivations, medical school teaching and exposure to psychiatry. We assessed students’ attitudes and personality factors. The main outcome measure was likelihood of specializing in psychiatry. Multilevel logistic regression was used to examine the joint effect of factors upon the main outcome. Results 2198 of 9135 (24%) of students responded (range 4 to 91%) across the countries. Internationally 4.5% of students definitely considered psychiatry as a career (range 1 to 12%). 19% of students (range 0 to 33%) were “quite likely”, and 25% were “definitely not” considering psychiatry. Female gender, experience of mental/physical illness, media portrayal of doctors, and positive attitudes to psychiatry, but not personality factors, were associated with choosing psychiatry. Quality of psychiatric placement (correlation coefficient = 0.22, p psychiatry clubs), experience of acutely unwell patients and perceived clinical responsibility were all associated with choice of psychiatry. Multilevel logistic regression revealed six factors associated with students choosing psychiatry: importance of own vocation, odds ratio (OR) 3.01, 95% CI 1.61 to 5.91, p psychiatry before medical school, OR 10.8 (5.38 to 21.8, p psychiatry special study module, OR 1.45 (1.05 to 2.01, p = 0.03) or elective OR 4.28 (2.87- 6.38, p psychiatry club, OR 3.25 (2.87 to 6.38, p psychiatry teaching which affect career choice. Addressing these factors may improve recruitment to psychiatry internationally. PMID

EVALUATION OF LOGISTICS CUSTOMER SERVICE IN A MARKETING COMPANY

Directory of Open Access Journals (Sweden)

María Esther Debrosse-Carballo

2016-01-01

Full Text Available The objective of the article is to present the application of a procedure that allows evaluating the level of logistic service offered by a marketing company. In order to reach the objective as a source of secondary was used information: company documents and logistics reports. As primary sources were used the interviews and surveys carried out to all the experts and selected customers. At the stage of processing and analysis of the information tools were used such as: service evaluation matrix, ABC Method for classifying customers, Indicators for evaluating the Logistic Service. This analysis permit to the enterprise know and evaluate the levels of satisfaction of its customer, facilitating to trace strategies that make possible elevate the quality of the logistic service. 

Multilevel modelling: Beyond the basic applications.

Science.gov (United States)

Wright, Daniel B; London, Kamala

2009-05-01

Over the last 30 years statistical algorithms have been developed to analyse datasets that have a hierarchical/multilevel structure. Particularly within developmental and educational psychology these techniques have become common where the sample has an obvious hierarchical structure, like pupils nested within a classroom. We describe two areas beyond the basic applications of multilevel modelling that are important to psychology: modelling the covariance structure in longitudinal designs and using generalized linear multilevel modelling as an alternative to methods from signal detection theory (SDT). Detailed code for all analyses is described using packages for the freeware R.

Education in logistics and training of non-logistic personnel

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Marko D. Andrejić

2011-01-01

Full Text Available The significance of education in logistics and education and training of cadets who belong to non-logistic services (non-logistic personnel will be presented. The logistical aspects of education of non-logistic personnel are elaborated as well as the knowledge in the area of logistics which is necessary to be transferred through the educational process to non-logistic personnel for the successful accomplishment of their functional duties. A general approach and the methods of logistics education and improvement of non-logistic personnel are presented as well as the institutional prerequisites necessary for improving the quality of logistics education and training. The quality of the knowledge in this area and its implementation into the methods of thinking and decision making of non-logistic personnel affect the cooperation between the non-logistic and the logistic personnel, directly contributing to the quality of life and working conditions of units and institutions as well as to the quality and synergy in task accomplishments in the framework defined by the missions of the Army of Serbia. The necessary content and means of its transfer to cadets are discussed since they are supposed to be available at all levels and forms of education, depending on the previous cadet education levels. The theoretical bases and experiences shown are of general character and they have a universal application in the process of education. Introduction In our recent defense theory and operational practice, logistics education of non-logistic personnel is not sufficiently analyzed either in organizational or technological aspects, considering the concept and the logic of a systematic and a situational approach. The analysis of the experiences gained from operational practice shows a slight decrease in the quality of task accomplishment due to the lack of necessary logistic knowledge and habits as well as an increased communication gap between logistic and non-logistic

A multilevel analysis of lifestyle variations in symptoms of acute respiratory infection among young children under five in Nigeria

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Oluwafunmilade A. Adesanya

2016-08-01

Full Text Available Abstract Background Nigeria has the second highest estimated number of deaths due to acute respiratory infection (ARI among children under five in the world. A common hypothesis is that the inequitable distribution of socioeconomic resources shapes individual lifestyles and health behaviors, which leads to poorer health, including symptoms of ARI. This study examined whether lifestyle factors are associated with ARI risk among Nigerian children aged less than 5 years, taking individual-level and contextual-level risk factors into consideration. Methods Data were obtained from the nationally representative 2013 Nigeria Demographic and Health Survey. A total of 28,596 surviving children aged 5 years or younger living in 896 communities were analyzed. We employed two-level multilevel logistic regressions to model the relationship between lifestyle factors and ARI symptoms. Results The multivariate results from multilevel regressions indicated that the odds of having ARI symptoms were increased by a number of lifestyle factors such as in-house biomass cooking (OR = 2.30; p < 0.01 and no hand-washing (OR = 1.66; p < 0.001. An increased risk of ARI symptoms was also significantly associated with living in the North West region and the community with a high proportion of orphaned/vulnerable children (OR = 1.74; p < 0.001. Conclusions Our findings underscore the importance of Nigerian children’s lifestyle within the neighborhoods where they reside above their individual characteristics. Program-based strategies that are aimed at reducing ARI symptoms should consider policies that embrace making available basic housing standards, providing improved cooking stoves and enhancing healthy behaviors.

Contextual risk factors for low birth weight: a multilevel analysis.

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Gbenga A Kayode

Full Text Available Low birth weight (LBW remains to be a leading cause of neonatal death and a major contributor to infant and under-five mortality. Its prevalence has not declined in the last decade in sub-Saharan Africa (SSA and Asia. Some individual level factors have been identified as risk factors for LBW but knowledge is limited on contextual risk factors for LBW especially in SSA.Contextual risk factors for LBW in Ghana were identified by performing multivariable multilevel logistic regression analysis of 6,900 mothers dwelling in 412 communities that participated in the 2003 and 2008 Demographic and Health Surveys in Ghana.Contextual-level factors were significantly associated with LBW: Being a rural dweller increased the likelihood of having a LBW infant by 43% (OR 1.43; 95% CI 1.01-2.01; P-value <0.05 while living in poverty-concentrated communities increased the risk of having a LBW infant twofold (OR 2.16; 95% CI 1.29-3.61; P-value <0.01. In neighbourhoods with a high coverage of safe water supply the odds of having a LBW infant reduced by 28% (OR 0.74; 95% CI 0.57-0.96; P-value <0.05.This study showed contextual risk factors to have independent effects on the prevalence of LBW infants. Being a rural dweller, living in a community with a high concentration of poverty and a low coverage of safe water supply were found to increase the prevalence of LBW infants. Implementing appropriate community-based intervention programmes will likely reduce the occurrence of LBW infants.

Risk of maternal mortality in women with severe anaemia during pregnancy and post partum: a multilevel analysis

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Jahnavi Daru, MBBS

2018-05-01

Full Text Available Summary: Background: Anaemia affects as many as half of all pregnant women in low-income and middle-income countries, but the burden of disease and associated maternal mortality are not robustly quantified. We aimed to assess the association between severe anaemia and maternal death with data from the WHO Multicountry Survey on maternal and newborn health. Methods: We used multilevel and propensity score regression analyses to establish the relation between severe anaemia and maternal death in 359 health facilities in 29 countries across Latin America, Africa, the Western Pacific, eastern Mediterranean, and southeast Asia. Severe anaemia was defined as antenatal or postnatal haemoglobin concentrations of less than 70 g/L in a blood sample obtained before death. Maternal death was defined as death any time after admission until the seventh day post partum or discharge. In regression analyses, we adjusted for post-partum haemorrhage, general anaesthesia, admission to intensive care, sepsis, pre-eclampsia or eclampsia, thrombocytopenia, shock, massive transfusion, severe oliguria, failure to form clots, and severe acidosis as confounding variables. These variables were used to develop the propensity score. Findings: 312 281 women admitted in labour or with ectopic pregnancies were included in the adjusted multilevel logistic analysis, and 12 470 were included in the propensity score regression analysis. The adjusted odds ratio for maternal death in women with severe anaemia compared with those without severe anaemia was 2·36 (95% CI 1·60–3·48. In the propensity score analysis, severe anaemia was also associated with maternal death (adjusted odds ratio 1·86 [95% CI 1·39–2·49]. Interpretation: Prevention and treatment of anaemia during pregnancy and post partum should remain a global public health and research priority. Funding: Barts and the London Charity.

Relationship Between Green Logistics Tendency and Logistics Performance: A Comparative Case Study on Logistics Service Providers

OpenAIRE

Ayşenur DOĞRU; Cemile SOLAK FIŞKIN

2016-01-01

Increasing concerns related to environmental side effects of the logistics services and competition between the logistics service providers are two pressuring factors on logistics service providers. This study seeks to explore the relation between green logistics tendency and logistic performance from the perspective of logistics service providers. In order to reach this aim, two logistics service providers are investigated by comparative case study method. Findings showed the effects of g...

Logistics Performance of Actors in the Wine Supply Chain

OpenAIRE

Chandes , Jerôme; Estampe , Dominique

2003-01-01

International audience; In an environment marked by ever-greater international competition, wine sector companies have been seriously questioning the structure of their entire logistics chain. This is due to the emergence of new actors (i.e., large retailers); the diversification of service providers' product offers; and the different rapprochements between actors in this branch. These are all signals that have caused companies to question their logistics strategies as shown in the ISLI survey.

Diagnostical Procedure for Logistical Management in Turistical Entities

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Libia Arlen Fergusson-Álvarez

2016-06-01

Full Text Available This research aims to design a diagnostic procedure of the logistics management for turistical entities, they could be hotels or not. This procedure was validated in Commercial Branch Caracol Santiago de Cuba and finally, different actions for the detected problems were proposed with the objective of improving the logistics management of the organization. To develop this research various tools and techniques served as support, such as: surveys, SPSS software (Statistical Package for Social Sciences 15.0 version and Decision 1.0 version, exponential smoothing, Cronbach's Alpha, the coefficient of Kendall W, financial and logistical indicators, the ABC or Pareto Method, the matrices for the classification of stocks and suppliers, among others. This research made possible the design of a diagnostic procedure for logistical management for turistical entities. And it was validated in the Comercial Branch Caracol Santiago, which allowed the proposition of improvement actions for increasing customer satisfaction.

School Climate as a Predictor of Incivility and Bullying among Public School Employees: A Multilevel Analysis

Science.gov (United States)

Powell, Joshua E.; Powell, Anna L.; Petrosko, Joseph M.

2015-01-01

We surveyed public school educators on the workplace incivility and workplace bullying they experienced and obtained their ratings of the organizational climate of the school. We used multilevel modeling to determine the effects of individual-level and school-level predictors. Ratings of school climate were significantly related to incivility and…

Neighborhood Racial Diversity and Metabolic Syndrome: 2003-2008 National Health and Nutrition Examination Survey.

Science.gov (United States)

Li, Kelin; Wen, Ming; Fan, Jessie X

2018-03-30

This study investigated the independent association between neighborhood racial/ethnic diversity and metabolic syndrome among US adults, and focused on how this association differed across individual and neighborhood characteristics (i.e., race/ethnicity, sex, age, urbanity, neighborhood poverty). Objectively-measured biomarker data from 2003 to 2008 National Health and Nutrition Examination Survey were linked to census-tract profiles from 2000 decennial census (N = 10,122). Multilevel random intercept logistic regression models were estimated to examine the contextual effects of tract-level racial/ethnic diversity on individual risks of metabolic syndrome. Overall, more than 20% of the study population were identified as having metabolic syndrome, although the prevalence also varied across demographic subgroups and specific biomarkers. Multilevel analyses showed that increased racial/ethnic diversity within a census tract was associated with decreased likelihood of having metabolic syndrome (OR 0.71, 95% CI 0.52-0.96), particularly among female (OR 0.64; 95% CI 0.43-0.96), young adults (OR 0.60; 95% CI 0.39-0.93), and residents living in urban (OR 0.67; 95% CI 0.48-0.93) or poverty neighborhoods (OR 0.54; 95% CI 0.31-0.95). The findings point to the potential benefits of neighborhood racial/ethnic diversity on individual health risks.

Artificial intelligence applications in logistics information systems : final report

Science.gov (United States)

1990-04-01

This report is the principal deliverable from the LIMSS-AI project. It summarizes the results of a survey of existing applications and discusses the feasibility and benefits of specific candidate logistics applications.

Multilevel particle filter

KAUST Repository

Law, Kody

2016-01-06

This talk will pertain to the filtering of partially observed diffusions, with discrete-time observations. It is assumed that only biased approximations of the diffusion can be obtained, for choice of an accuracy parameter indexed by l. A multilevel estimator is proposed, consisting of a telescopic sum of increment estimators associated to the successive levels. The work associated to O( 2) mean-square error between the multilevel estimator and average with respect to the filtering distribution is shown to scale optimally, for example as O( 2) for optimal rates of convergence of the underlying diffusion approximation. The method is illustrated on some toy examples as well as estimation of interest rate based on real S&P 500 stock price data.

Predicting Social Trust with Binary Logistic Regression

Science.gov (United States)

Adwere-Boamah, Joseph; Hufstedler, Shirley

2015-01-01

This study used binary logistic regression to predict social trust with five demographic variables from a national sample of adult individuals who participated in The General Social Survey (GSS) in 2012. The five predictor variables were respondents' highest degree earned, race, sex, general happiness and the importance of personally assisting…

Perceived fairness of the division of household labor: A comparative study in 29 countries

NARCIS (Netherlands)

Jansen, L.; Weber, T.; Kraaykamp, G.L.M.; Verbakel, C.M.C.

2016-01-01

This study investigates the relationship between the division of household labor and individuals' perceived fairness concerning this division. We applied multilevel multinomial logistic regression to analyze data on both men and women across 29 countries using the International Social Survey

Logistics and logistics support in crisis management and citizen protection

OpenAIRE

HOLEJŠOVSKÝ, Jan

2010-01-01

ABSTRAKT LOGISTICS AND LOGISTICS SUPPORT IN CRISIS MANAGEMENT AND CITIZEN PROTECTION The graduation thesis on topic "Logistics and logistics support in crisis management and citizen protection" is divided into several chapters, which in summary are a material presenting information about logistics and logistics support in crisis management and citizen protection. This was one of the aims at this work. Chapters I., II., III., IV. describe logistics and logistics support, crisis management, cit...

A Multilevel Investigation of the Association between School Context and Adolescent Nonphysical Bullying

OpenAIRE

GREEN, JENNIFER GREIF; DUNN, ERIN C.; JOHNSON, RENEE M.; MOLNAR, BETH E.

2011-01-01

Although researchers have identified individual-level predictors of nonphysical bullying among children and youth, school-level predictors (i.e., characteristics of the school environment that influence bullying exposure) remain largely unstudied. Using data from a survey of 1,838 students in 21 Boston public high schools, we used multilevel modeling techniques to estimate the level of variation across schools in student reports of nonphysical bully victimization and identify school-level pre...

School Process and Teacher Job Satisfaction at Alternative Schools: A Multilevel Study Using SASS 2007-08 Data

Science.gov (United States)

Xia, Jiangang; Izumi, Masashi; Gao, Xingyuan

2015-01-01

This study examined the associations between public alternative schools' teacher job satisfaction and school processes. Based on a multilevel analysis of the national School and Staffing Survey 2007-08 data, we found that among the seven school processes, public alternative schools' administrative support, staff collegiality, career and working…

Does Social Context Matter? Income Inequality, Racialized Identity, and Health Among Canada's Aboriginal Peoples Using a Multilevel Approach.

Science.gov (United States)

Spence, Nicholas D

2016-03-01

Debates surrounding the importance of social context versus individual level processes have a long history in public health. Aboriginal peoples in Canada are very diverse, and the reserve communities in which they reside are complex mixes of various cultural and socioeconomic circumstances. The social forces of these communities are believed to affect health, in addition to individual level determinants, but no large scale work has ever probed their relative effects. One aspect of social context, relative deprivation, as indicated by income inequality, has greatly influenced the social determinants of health landscape. An investigation of relative deprivation in Canada's Aboriginal population has never been conducted. This paper proposes a new model of Aboriginal health, using a multidisciplinary theoretical approach that is multilevel. This study explored the self-rated health of respondents using two levels of determinants, contextual and individual. Data were from the 2001 Aboriginal Peoples Survey. There were 18,890 Registered First Nations (subgroup of Aboriginal peoples) on reserve nested within 134 communities. The model was assessed using a hierarchical generalized linear model. There was no significant variation at the contextual level. Subsequently, a sequential logistic regression analysis was run. With the sole exception culture, demographics, lifestyle factors, formal health services, and social support were significant in explaining self-rated health. The non-significant effect of social context, and by extension relative deprivation, as indicated by income inequality, is noteworthy, and the primary role of individual level processes, including the material conditions, social support, and lifestyle behaviors, on health outcomes is illustrated. It is proposed that social structure is best conceptualized as a dynamic determinant of health inequality and more multilevel theoretical models of Aboriginal health should be developed and tested.

BIM for Construction Site Logistics Management

Directory of Open Access Journals (Sweden)

K. Whitlock

2018-01-01

Full Text Available Emerging Building Information Modelling (BIM has been hailed as a revolutionary technology and information management process that facilitates collaboration and more efficient design and construction processes through innovative 3D modelling software, open access to information and multidisciplinary integration. The deadline of compliance to BIM level 2 on all public sector centrally procured construction projects has expired leaving many construction firms anxious to adopt BIM. Most common documented applications of BIM have been in the areas of architectural and structural design, quantity surveying, construction project management, and sustainability with very limited peer-reviewed studies on construction logistics management. The aim of this study is to investigate how BIM can be applied to construction logistics management. This study adopts a desk-top approach, with articles sources from renowned scientific databases such as ScienceDirect, Google Scholar and Emerald. The study culminated in the identification of benefits and barriers of adopting BIM for construction logistics management. Given only a desk-top approach has been used, the recommendation for future study is to build on this to conduct an empirical study using both qualitative and quantitative data. This will provide an in-depth understanding of the use of BIM for construction logistics management and open opportunities for further research.

Hospital organizational factors influence work-family conflict in registered nurses: Multilevel modeling of a nation-wide cross-sectional survey in Sweden.

Science.gov (United States)

Leineweber, C; Chungkham, H S; Westerlund, H; Tishelman, C; Lindqvist, R

2014-05-01

The present shortage of registered nurses (RNs) in many European countries is expected to continue and worsen, which poses a substantial threat to the maintenance of healthcare in this region. Work-family conflict is a known risk factor for turnover and sickness absence. This paper empirically examines whether the nurse practice environment is associated with experienced work-family conflict. A multilevel model was fit with the individual RN at the 1st, and the hospital department at the 2nd level using cross-sectional RN survey data from the Swedish part of RN4CAST, an EU 7th framework project. The data analyzed here is based on a national sample of 8356 female and 592 male RNs from 369 hospital departments. We found that 6% of the variability in work-family conflict experienced by RNs was at the department level. Organizational level factors significantly accounted for most of the variability at this level with two of the work practice environment factors examined, staffing adequacy and nurse involvement in hospital affairs, significantly related to work-family conflict. Due to the design of the study, factors on ward and work group levels could not be analyzed, but are likely to account for additional variance which in the present analysis appears to be on the individual level, with private life factors likely explaining another major part. These results suggest that higher level organizational factors in health care have a significant impact on the risk of work-family conflict among RNs through their impact on the nurse practice environment. Lower level organizational factors should be investigated in future studies using hierarchical multilevel sampling. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

The multilevel governance of migration and integration

NARCIS (Netherlands)

Scholten, P.; Penninx, R.; Garcés–Mascareñas, B.; Penninx, R.

2016-01-01

This chapter focuses on migration and integration as multilevel policy issues and explores the consequences in terms of multilevel governance. Immigration policymaking has been characterized by continued struggle between national governments and the EU about the amount of discretion states have in

Warehouse Logistics

OpenAIRE

Panibratetc, Anastasiia

2015-01-01

This research is a review of warehouse logistics on the example of Kannustalo Oy, located in Kannus, Western region of Finland. Kannustalo is an international company of designing, manufacturing and assembling block and turn-key houses. The research subject is logistics process in warehouse system of industrial company. In my work I discussed about theoretical aspect of logistics, logistic functions and processes. Later I considered warehouse as a part of logistics system and provided inf...

Multilevel security for relational databases

CERN Document Server

Faragallah, Osama S; El-Samie, Fathi E Abd

2014-01-01

Concepts of Database Security Database Concepts Relational Database Security Concepts Access Control in Relational Databases      Discretionary Access Control      Mandatory Access Control      Role-Based Access Control Work Objectives Book Organization Basic Concept of Multilevel Database Security IntroductionMultilevel Database Relations Polyinstantiation      Invisible Polyinstantiation      Visible Polyinstantiation      Types of Polyinstantiation      Architectural Consideration

Logistic service providers and sustainable physical distribution

Directory of Open Access Journals (Sweden)

Stef Weijers

2012-06-01

Full Text Available Background: Logistic Service Providers main concern was to ensure reliability for a low price (Christopher, 2005. Dutch Logistic Service Providers still have these two aspects at the top of their list, but also have to take in a new aspect: sustainability. 88% Of the investigated Logistic Service Providers have included sustainability in the company's goals. These Logistic Service Providers have developed different strategies to achieve a higher level of sustainability. This paper presents the results of a study into what Logistic Service Providers say what they are doing, or intend to do, to improve sustainability for their transport services. In this way insight is given in the attitude of Dutch Logistic Service Providers towards sustainability and how they intend to translate this into business practise: internal solutions or new methods incorporating external partners. Methods: Various methods of the investigations were used, among which the analysis of the statements about the sustainabilityon the websites of various companies as well as the questionnaire per Internet. The research covered 50 largest logistics companies operating in the Netherlands and 60 companies that competed for the award "Lean and Green" advertised in the Netherlands. In addition, the Internet survey was answered by 41 companies that belong to the network of our university. Results: The investigation has shown that sustainability is handled by the logistics company as an integral part of the corporate strategy. In contrast, shippers depend in the choice of logistics services primarily on such classical aspects as the reliability or the price and the sustainability play a minor role. Conclusions: Trying to find methods to improve the sustainability, Dutch logistics service providers, in the first place, look for solutions that increase the efficiency and therefore the cost reduction potential. Solutions, which require the involvement of clients, were less often

Research on the Logistics Supply Chain in Port Logistics Transportation

OpenAIRE

Wang Yan-liang

2013-01-01

The aim of this study is to improve and increase the logistics system effectiveness and to solve the problem of optimal movement of different flows. Logistics transport carrying the world on material resources transfer exchange important mission and economic development and our lives are closely linked, logistics chain logistics transport occupies an important position and in the e logistics chain in port logistics has play a decisive role. For many coastal countries port logistics is the eco...

Multilevel optimization algorithms and applications

CERN Document Server

Pardalos, Panos; Värbrand, Peter

1998-01-01

Researchers working with nonlinear programming often claim "the word is non­ linear" indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer­ tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar­ chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar­ chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti­ mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have ...

Employees' Willingness to Participate in Work-Related Learning: A Multilevel Analysis of Employees' Learning Intentions

Science.gov (United States)

Kyndt, Eva; Onghena, Patrick; Smet, Kelly; Dochy, Filip

2014-01-01

The current study focuses on employees' learning intentions, or the willingness to undertake formal work-related learning. This cross-sectional survey study included a sample of 1,243 employees that are nested within 21 organisations. The results of the multilevel analysis show that self-directedness in career processes, time management,…

Improving the Reverse Logistics Respecting Principles of Sustainable Development in an Industrial Company

Science.gov (United States)

Fidlerová, Helena; Mĺkva, Miroslava

2016-06-01

Reverse logistics, the movement of materials back up the supply chain, is recognised by many organisations as an opportunity for adding value. The paper considers the theoretical framework and the conception of reverse logistics in literature and practice. The objective of the article is to propose tangible solutions which eliminate the imbalances in reverse logistics and improve the waste management in the company. The case study focuses on the improvement in the process of waste packaging in the context of sustainable development as a part of reverse logistics in the surveyed industrial company in Slovakia.

Exploring improvements in patient logistics in Dutch hospitals with a survey

NARCIS (Netherlands)

van Lent, W.A.M.; Sanders, E.M.; van Harten, Willem H.

2012-01-01

Background Research showed that promising approaches such as benchmarking, operations research, lean management and six sigma, could be adopted to improve patient logistics in healthcare. To our knowledge, little research has been conducted to obtain an overview on the use, combination and effects

Multilevel analysis of hepatitis A infection in children and adolescents: a household survey in the Northeast and Central-west regions of Brazil

Science.gov (United States)

de Alencar Ximenes, Ricardo Arraes; Martelli, Celina Maria Turchi; Merchán-Hamann, Edgar; Montarroyos, Ulisses Ramos; Braga, Maria Cynthia; de Lima, Maria Luíza Carvalho; Cardoso, Maria Regina Alves; Turchi, Marília Dalva; Costa, Marcelo Abrahão; de Alencar, Luiz Cláudio Arraes; Moreira, Regina Célia; Figueiredo, Gerusa Maria; Pereira, Leila Maria Moreira Beltrão

2008-01-01

Background The objectives were to estimate the prevalence of hepatitis A among children and adolescents from the Northeast and Midwest regions and the Federal District of Brazil and to identify individual-, household- and area-levels factors associated with hepatitis A infection. Methods This population-based survey was conducted in 2004–2005 and covered individuals aged between 5 and 19 years. A stratified multistage cluster sampling technique with probability proportional to size was used to select 1937 individuals aged between 5 and 19 years living in the Federal capital and in the State capitals of 12 states in the study regions. The sample was stratified according to age (5–9 and 10- to 19-years-old) and capital within each region. Individual- and household-level data were collected by interview at the home of the individual. Variables related to the area were retrieved from census tract data. The outcome was total antibodies to hepatitis A virus detected using commercial EIA. The age distribution of the susceptible population was estimated using a simple catalytic model. The associations between HAV infection and independent variables were assessed using the odds ratio and corrected for the random design effect and sampling weight. Multilevel analysis was performed by GLLAMM using Stata 9.2. Results The prevalence of hepatitis A infection in the 5–9 and 10–19 age-group was 41.5 and 57.4%, respectively for the Northeast, 32.3 and 56.0%, respectively for the Midwest and 33.8 and 65.1% for the Federal District. A trend for the prevalence of HAV infection to increase according to age was detected in all sites. By the age of 5, 31.5% of the children had already been infected with HAV in the Northeast region compared with 20.0% in the other sites. By the age of 19 years, seropositivity was ∼70% in all areas. The curves of susceptible populations differed from one area to another. Multilevel modeling showed that variables relating to different levels of

Is the "Glasgow effect" of cigarette smoking explained by socio-economic status?: A multilevel analysis

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Leyland Alastair H

2009-07-01

Full Text Available Abstract Background The Glasgow area has elevated levels of deprivation and is known for its poor health and associated negative health-related behaviours, which are socially patterned. Of interest is whether high smoking rates are explained by the area's socio-economic profile. Methods Data on age, sex, current/previous smoking status, area deprivation, social class, education, economic activity, postcode sector, and health board region were available from Scottish Health Surveys conducted in 1995, 1998 and 2003. Multilevel logistic regression models were applied by sex, unadjusted and adjusted for age, survey year, and socio-economic factors, accounting for geographical hierarchy and missing data. Results Compared with the rest of Scotland, men living in Greater Glasgow were 30% and women 43% more likely to smoke [odds ratio (OR = 1.30, (95% CI = 1.08–1.56 and (OR = 1.43, CI = 1.22–1.68, respectively] before adjustment. In adjusted results, the association between living in Greater Glasgow and current smoking was attenuated [OR = 0.92, CI = 0.78–1.09 for men, and OR = 1.08, CI = 0.94–1.23 for women; results based on multiply imputed data to account for missing values remained borderline significant for women]. Accounting for individuals who had been told to give up smoking by a medical person/excluding ex-smokers did not alter results. Conclusion High levels of smoking in Greater Glasgow were attributable to its poorer socio-economic position and the strong social patterning of smoking. Tackling Glasgow's, and indeed Scotland's, poor health must involve policies to alleviate problems associated with poverty.

Humanitarian response: improving logistics to save lives.

Science.gov (United States)

McCoy, Jessica

2008-01-01

Each year, millions of people worldwide are affected by disasters, underscoring the importance of effective relief efforts. Many highly visible disaster responses have been inefficient and ineffective. Humanitarian agencies typically play a key role in disaster response (eg, procuring and distributing relief items to an affected population, assisting with evacuation, providing healthcare, assisting in the development of long-term shelter), and thus their efficiency is critical for a successful disaster response. The field of disaster and emergency response modeling is well established, but the application of such techniques to humanitarian logistics is relatively recent. This article surveys models of humanitarian response logistics and identifies promising opportunities for future work. Existing models analyze a variety of preparation and response decisions (eg, warehouse location and the distribution of relief supplies), consider both natural and manmade disasters, and typically seek to minimize cost or unmet demand. Opportunities to enhance the logistics of humanitarian response include the adaptation of models developed for general disaster response; the use of existing models, techniques, and insights from the literature on commercial supply chain management; the development of working partnerships between humanitarian aid organizations and private companies with expertise in logistics; and the consideration of behavioral factors relevant to a response. Implementable, realistic models that support the logistics of humanitarian relief can improve the preparation for and the response to disasters, which in turn can save lives.

Scalable Adaptive Multilevel Solvers for Multiphysics Problems

Energy Technology Data Exchange (ETDEWEB)

Xu, Jinchao [Pennsylvania State Univ., University Park, PA (United States). Dept. of Mathematics

2014-11-26

In this project, we carried out many studies on adaptive and parallel multilevel methods for numerical modeling for various applications, including Magnetohydrodynamics (MHD) and complex fluids. We have made significant efforts and advances in adaptive multilevel methods of the multiphysics problems: multigrid methods, adaptive finite element methods, and applications.

Can Economic Deprivation Protect Health? Paradoxical Multilevel Effects of Poverty on Hispanic Children’s Wheezing

Science.gov (United States)

Collins, Timothy W.; Kim, Young-an; Grineski, Sara E.; Clark-Reyna, Stephanie

2014-01-01

Prior research suggests that economic deprivation has a generally negative influence on residents’ health. We employ hierarchical logistic regression modeling to test if economic deprivation presents respiratory health risks or benefits to Hispanic children living in the City of El Paso (Texas, USA) at neighborhood- and individual-levels, and whether individual-level health effects of economic deprivation vary based on neighborhood-level economic deprivation. Data come from the US Census Bureau and a population-based survey of El Paso schoolchildren. The dependent variable is children’s current wheezing, an established respiratory morbidity measure, which is appropriate for use with economically-deprived children with an increased likelihood of not receiving a doctor’s asthma diagnosis. Results reveal that economic deprivation (measured based on poverty status) at both neighborhood- and individual-levels is associated with reduced odds of wheezing for Hispanic children. A sensitivity analysis revealed similar significant effects of individual- and neighborhood-level poverty on the odds of doctor-diagnosed asthma. Neighborhood-level poverty did not significantly modify the observed association between individual-level poverty and Hispanic children’s wheezing; however, greater neighborhood poverty tends to be more protective for poor (as opposed to non-poor) Hispanic children. These findings support a novel, multilevel understanding of seemingly paradoxical effects of economic deprivation on Hispanic health. PMID:25101769

Can Economic Deprivation Protect Health? Paradoxical Multilevel Effects of Poverty on Hispanic Children’s Wheezing

Directory of Open Access Journals (Sweden)

Timothy W. Collins

2014-08-01

Full Text Available Prior research suggests that economic deprivation has a generally negative influence on residents’ health. We employ hierarchical logistic regression modeling to test if economic deprivation presents respiratory health risks or benefits to Hispanic children living in the City of El Paso (Texas, USA at neighborhood- and individual-levels, and whether individual-level health effects of economic deprivation vary based on neighborhood-level economic deprivation. Data come from the US Census Bureau and a population-based survey of El Paso schoolchildren. The dependent variable is children’s current wheezing, an established respiratory morbidity measure, which is appropriate for use with economically-deprived children with an increased likelihood of not receiving a doctor’s asthma diagnosis. Results reveal that economic deprivation (measured based on poverty status at both neighborhood- and individual-levels is associated with reduced odds of wheezing for Hispanic children. A sensitivity analysis revealed similar significant effects of individual- and neighborhood-level poverty on the odds of doctor-diagnosed asthma. Neighborhood-level poverty did not significantly modify the observed association between individual-level poverty and Hispanic children’s wheezing; however, greater neighborhood poverty tends to be more protective for poor (as opposed to non-poor Hispanic children. These findings support a novel, multilevel understanding of seemingly paradoxical effects of economic deprivation on Hispanic health.

Cross-national and multilevel correlates of partner violence: an analysis of data from population-based surveys.

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Heise, Lori L; Kotsadam, Andreas

2015-06-01

On average, intimate partner violence affects nearly one in three women worldwide within their lifetime. But the distribution of partner violence is highly uneven, with a prevalence of less than 4% in the past 12 months in many high-income countries compared with at least 40% in some low-income settings. Little is known about the factors that drive the geographical distribution of partner violence or how macro-level factors might combine with individual-level factors to affect individual women's risk of intimate partner violence. We aimed to assess the role that women's status and other gender-related factors might have in defining levels of partner violence among settings. We compiled data for the 12 month prevalence of partner violence from 66 surveys (88 survey years) from 44 countries, representing 481 205 women between Jan 1, 2000, and Apr 17, 2013. Only surveys with comparable questions and state-of-the-art methods to ensure safety and encourage violence disclosure were used. With linear and quantile regression, we examined associations between macro-level measures of socioeconomic development, women's status, gender inequality, and gender-related norms and the prevalence of current partner violence at a population level. Multilevel modelling and tests for interaction were used to explore whether and how macro-level factors affect individual-level risk. The outcome for this analysis was the population prevalence of current partner violence, defined as the percentage of ever-partnered women (excluding widows without a current partner), aged from 15 years to 49 years who were victims of at least one act of physical or sexual violence within the past 12 months. Gender-related factors at the national and subnational level help to predict the population prevalence of physical and sexual partner violence within the past 12 months. Especially predictive of the geographical distribution of partner violence are norms related to male authority over female behaviour

Civic Participation and Self-rated Health: A Cross-national Multi-level Analysis Using the World Value Survey

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Saerom Kim

2015-01-01

Full Text Available Objectives: Civic participation, that which directly influences important decisions in our personal lives, is considered necessary for developing a society. We hypothesized that civic participation might be related to self-rated health status. Methods: We constructed a multi-level analysis using data from the World Value Survey (44 countries, n=50 859. Results: People who participated in voting and voluntary social activities tended to report better subjective health than those who did not vote or participate in social activities, after controlling for socio-demographic factors at the individual level. A negative association with unconventional political activity and subjective health was found, but this effect disappeared in a subset analysis of only the 18 Organization for Economic Cooperation and Development (OECD countries. Moreover, social participation and unconventional political participation had a statistically significant contextual association with subjective health status, but this relationship was not consistent throughout the analysis. In the analysis of the 44 countries, social participation was of borderline significance, while in the subset analysis of the OECD countries unconventional political participation was a stronger determinant of subjective health. The democratic index was a significant factor in determining self-rated health in both analyses, while public health expenditure was a significant factor in only the subset analysis. Conclusions: Despite the uncertainty of its mechanism, civic participation might be a significant determinant of the health status of a country.

Empirical Study of E-logistics System Based on Tibet Logistics Industry

OpenAIRE

Liu, Yu

2013-01-01

With the rapid growth of E-logistics in the global logistics industry, it is important to get insight into E-logistics system in Chinese logistics industry. Regarding the current situation of E-logistics of Chinese logistics industry, there are still many problems to be concerned and resolved. This paper will review the concepts and theoretical background of E-logistics System from previous researches. After acknowledging the essential issues on E-logistics System, a research model is designe...

Is physician adherence to prescription guidelines a general trait of health care practices or dependent on drug type?--a multilevel logistic regression analysis in South Sweden.

Science.gov (United States)

Ohlsson, Henrik; Merlo, Juan

2009-08-01

Therapeutic traditions at health care practices (HCPs) influence physicians' adherence to prescription guidelines for specific drugs, however, it is not known if such traditions affect all kinds of prescriptions or only specific types of drug. Our goal was to determine whether adherence to prescription guidelines is a common trait of HCPs or dependent on drug type. We fitted separate multi-level logistic regression models to all patients in the Skåne region who received a prescription for a statin drug (ATC: C10AA, n = 6232), an agent acting on the renin-angiotensin system (ATC: C09, n = 7222) or a proton pump inhibitor (ATC: A02BC, n = 11 563) at 198 HCPs from July 2006 to December 2006. There was a high clustering of adherence to prescription guidelines at HCPs for the different drug types (MOR(agents acting on the renin-angiotensin system) = 4.72 [95% CI: 3.90-5.92], MOR(Statins) = 2.71 [95% CI: 2.23-3.39] and MOR(Proton pump inhibitors) = 2.16 [95% CI: 1.95-2.45]). Compared with HCPs with low adherence to guidelines in two drug types, those HCPs with the highest level of adherence for these two drug types also showed a higher probability of adherence for the third drug type. Physicians' decisions to follow prescription guidelines seem to be influenced by therapeutic traditions at the HCP. Moreover, these therapeutic traditions seem to affect all kinds of prescriptions. This information can be used as basis for interventions to support rational and cost-effective medication use. Copyright 2009 John Wiley & Sons, Ltd.

Individual and community level socioeconomic inequalities in contraceptive use in 10 Newly Independent States: a multilevel cross-sectional analysis.

Science.gov (United States)

Janevic, Teresa; Sarah, Pallas W; Leyla, Ismayilova; Elizabeth, Bradley H

2012-11-16

Little is known regarding the association between socioeconomic factors and contraceptive use in the Newly Independent States (NIS), countries that have experienced profound changes in reproductive health services during the transition from socialism to a market economy. Using 2005-2006 data from Demographic Health Surveys (Armenia, Azerbaijan, and Moldova) and Multiple Indicator Cluster Surveys (Belarus, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Ukraine, and Uzbekistan), we examined associations between individual and community socioeconomic status with current modern contraceptive use (MCU) among N = 55,204 women aged 15-49 married or in a union. Individual socioeconomic status was measured using quintiles of wealth index and education level (higher than secondary school, secondary school or less). Community socioeconomic status was measured as the percentage of households in the poorest quintile of the nationals household wealth index (0%, 0-25%, or greater than 25%). We used multilevel logistic regression to estimate associations adjusted for age, number of children, urban/rural, and socioeconomic variables. MCU varied by country from 14% (in Azerbaijan) to 62% (in Belarus). Overall, women living in the poorest communities were less likely than those in the richest to use modern contraceptives (adjusted odds ratio (aOR) = 0.82, 95% Confidence Interval = 0.76, 0.89). Similarly, there was an increasing odds of MCU with increasing individual-level wealth. Women with a lower level of education also had lower odds of MCU than those with a higher level of education (aOR = .75, 95%CI = 0.71, 0.79). In country-specific analyses, community-level socioeconomic inequalities were apparent in 4 of 10 countries; in contrast, inequalities by individual-level wealth were apparent in 7 countries and by education in 8 countries. All countries in which community-level socioeconomic status was associated with MCU were in Central Asia, whereas at the individual

Reverse logistics in the Czech Republic: Barriers to development

OpenAIRE

Radoslav Škapa

2011-01-01

The article presents empirical survey results concerning two objectives. The first objective was to describe barriers of reverse logistics (RL) development in Czech companies. The other one was to research whether there are different views of these barriers between company experts and top managers. The analyses are based on data obtained through a questionnaire survey of 102 representatives of companies operating in the Czech Republic. The study applied basic statistical methods used in quant...

Multilevel ensemble Kalman filtering

KAUST Repository

Hoel, Haakon

2016-01-08

The ensemble Kalman filter (EnKF) is a sequential filtering method that uses an ensemble of particle paths to estimate the means and covariances required by the Kalman filter by the use of sample moments, i.e., the Monte Carlo method. EnKF is often both robust and efficient, but its performance may suffer in settings where the computational cost of accurate simulations of particles is high. The multilevel Monte Carlo method (MLMC) is an extension of classical Monte Carlo methods which by sampling stochastic realizations on a hierarchy of resolutions may reduce the computational cost of moment approximations by orders of magnitude. In this work we have combined the ideas of MLMC and EnKF to construct the multilevel ensemble Kalman filter (MLEnKF) for the setting of finite dimensional state and observation spaces. The main ideas of this method is to compute particle paths on a hierarchy of resolutions and to apply multilevel estimators on the ensemble hierarchy of particles to compute Kalman filter means and covariances. Theoretical results and a numerical study of the performance gains of MLEnKF over EnKF will be presented. Some ideas on the extension of MLEnKF to settings with infinite dimensional state spaces will also be presented.

Multilevel ensemble Kalman filtering

KAUST Repository

Hoel, Haakon; Chernov, Alexey; Law, Kody; Nobile, Fabio; Tempone, Raul

2016-01-01

The ensemble Kalman filter (EnKF) is a sequential filtering method that uses an ensemble of particle paths to estimate the means and covariances required by the Kalman filter by the use of sample moments, i.e., the Monte Carlo method. EnKF is often both robust and efficient, but its performance may suffer in settings where the computational cost of accurate simulations of particles is high. The multilevel Monte Carlo method (MLMC) is an extension of classical Monte Carlo methods which by sampling stochastic realizations on a hierarchy of resolutions may reduce the computational cost of moment approximations by orders of magnitude. In this work we have combined the ideas of MLMC and EnKF to construct the multilevel ensemble Kalman filter (MLEnKF) for the setting of finite dimensional state and observation spaces. The main ideas of this method is to compute particle paths on a hierarchy of resolutions and to apply multilevel estimators on the ensemble hierarchy of particles to compute Kalman filter means and covariances. Theoretical results and a numerical study of the performance gains of MLEnKF over EnKF will be presented. Some ideas on the extension of MLEnKF to settings with infinite dimensional state spaces will also be presented.

Teaching Multilevel Adult ESL Classes. ERIC Digest.

Science.gov (United States)

Shank, Cathy C.; Terrill, Lynda R.

Teachers in multilevel adult English-as-a-Second-Language classes are challenged to use a variety of materials, activities, and techniques to engage the interest of the learners and assist them in their educational goals. This digest recommends ways to choose and organize content for multilevel classes, explains grouping strategies, discusses a…

Multilevel Higher-Order Item Response Theory Models

Science.gov (United States)

Huang, Hung-Yu; Wang, Wen-Chung

2014-01-01

In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…

A Survey of Coalition Logistics Issues, Options, and Opportunities for Research

Science.gov (United States)

1990-08-01

conduit for FMS logistics, the destinies of the two institutions arc intimately linked and ought to be investigated concurrently. "* Residing on the...8217rudiment’ awaiting nourishment and encouragement to blossom?" If an embryo , then judging from the gestation period, one speculates that NAMSA must be

Indices system design of distribution logistics, transport logistics and materials flow as parts of controlling in enterprise´s logistics

Directory of Open Access Journals (Sweden)

Andrea Rosová

2010-02-01

Full Text Available There is necessary to think about two aspects while applying controlling in logistics. The main aim of the logistics in relationto business economics is assessing support to the invested financial capital resources – it is the first aspect. The second one is basedon the target of controlling – continuous monitoring of company’s economy. In order to make a logistics controlling successful and withrequired results it is necessary to utilize any logistics controlling tools. One of the tools in logistics controlling is a set of indicators.Important part of controlling logistics system is monitoring and evaluation of logistics markers. Logistic markers representsynthetic view to logistic performance and logistic costs by the means of interaction rate so that it can evaluate logistic activities area,cost economy and final productivity of logistics activities in company.This contribution deals with markers system proposal of distribution logistics, transport logistics and materials flow control.System of markers is designed with regard to basic facilities and specifications, who has to copy character and disposition rememberedsubsystems enterprise’s logistics system.

Integrating biology, field logistics, and simulations to optimize parameter estimation for imperiled species

Science.gov (United States)

Lanier, Wendy E.; Bailey, Larissa L.; Muths, Erin L.

2016-01-01

Conservation of imperiled species often requires knowledge of vital rates and population dynamics. However, these can be difficult to estimate for rare species and small populations. This problem is further exacerbated when individuals are not available for detection during some surveys due to limited access, delaying surveys and creating mismatches between the breeding behavior and survey timing. Here we use simulations to explore the impacts of this issue using four hypothetical boreal toad (Anaxyrus boreas boreas) populations, representing combinations of logistical access (accessible, inaccessible) and breeding behavior (synchronous, asynchronous). We examine the bias and precision of survival and breeding probability estimates generated by survey designs that differ in effort and timing for these populations. Our findings indicate that the logistical access of a site and mismatch between the breeding behavior and survey design can greatly limit the ability to yield accurate and precise estimates of survival and breeding probabilities. Simulations similar to what we have performed can help researchers determine an optimal survey design(s) for their system before initiating sampling efforts.

Multilevel Cultural Issues

NARCIS (Netherlands)

van Herk, H.; Fischer, Ronald; van Herk, Hester; Torelli, Carlos J.

2017-01-01

Multi-level structures are omnipresent. Consumers live in geographical locations, shop in specific stores, or are members of clubs. Consumers who belong to the same group share characteristics and are expected to be more similar than consumers belonging to another group. In data analysis this

Reverse Logistics

OpenAIRE

Kulikova, Olga

2016-01-01

This thesis was focused on the analysis of the concept of reverse logistics and actual reverse processes which are implemented in mining industry and finding solutions for the optimization of reverse logistics in this sphere. The objective of this paper was the assessment of the development of reverse logistics in mining industry on the example of potash production. The theoretical part was based on reverse logistics and mining waste related literature and provided foundations for further...

The use of dental care facilities and oral health: a multilevel approach of schoolchildren in the Brazilian context.

Science.gov (United States)

Antunes, José Leopoldo; Peres, Marco Aurélio; Jahn, Graciela Medeiros Jabôr; Levy, Bárbara Bianca da Silva

2006-01-01

To appraise the association between dental care utilisation and gingival status in the Brazilian context, controlling for covariates on socio-demographic characteristics and dentofacial anomalies (12-year-old children). A survey of oral health comprising 5780 schoolchildren in 35 towns of the state of São Paulo, Brazil, provided primary information regarding the assessment of the community periodontal index. The survey also provided information on socio-demographic characteristics and the dental aesthetic index of participants. The utilization of dental services was measured at the town-level, in terms of the dental care index (F/DMFT ratio). Multilevel models of logistic regression fitted the adjustment of covariates for gingival bleeding on probing and calculus. Almost 32% of the children examined presented unhealthy gingival conditions, with a significantly poorer profile for boys, black children and those enrolled in public schools than for their counterparts. Several dentofacial anomalies associated with unhealthy gingival status: crowding of the incisal segments, maxillary and mandibular irregularity, antero posterior molar relation, maxillary overjet and vertical anterior openbite. Towns with a higher dental care index presented a lower proportion of children with gingival bleeding and calculus. This study confirmed previous observations of boys, blacks and children enrolled in public schools as presenting poorer oral health status than their counterparts in the Brazilian context. The utilization of dental services was significantly associated with improved profile of gingival status of participating towns, and this association is unlikely to be due to insufficient control of confounding on socio-demographic characteristics and dentofacial anomalies.

Community Influences on Married Women's Safer Sex Negotiation Attitudes in Bangladesh: A Multilevel Analysis.

Science.gov (United States)

Jesmin, Syeda S; Cready, Cynthia M

2016-02-01

The influence of disadvantaged or deprived community on individuals' health risk-behaviors is increasingly being documented in a growing body of literature. However, little is known about the effects of community characteristics on women's sexual attitudes and behaviors. To examine community effects on married women's safer sex negotiation attitudes, we analyzed cross-sectional data from the 2011 Bangladesh Demographic and Health Surveys on a sample of 15,134 married women in 600 communities. We estimated two multilevel logistic regression models. Model 1, which included only individual-level variables, showed that women's autonomy/empowerment, age, and HIV knowledge had significant associations with their safer sex negotiation attitudes. We did not find any socioeconomic status gradient in safer sex negotiation attitudes at the individual level. Adding community-level variables in Model 2 significantly improved the fit of the model. Strikingly, we found that higher community-level poverty was associated with greater positive safer sex negotiation attitudes. Prevailing gender norms and overall women's empowerment in the community also had significant effects. While research on community influences calls for focusing on disadvantaged communities, our research highlights the importance of not underestimating the challenges that married women in economically privileged communities may face in negotiating safer sex. To have sufficient and equitable impact on married women's sexual and reproductive health, sexual and reproductive health promotion policies and programs need to be directed to women in wealthier communities as well.

Migration, urbanization, and drug use and casual sex in China: a multilevel analysis

OpenAIRE

Xiushi Yang; Huasong Luo

2009-01-01

Using data from a survey conducted in 2003 and employing multilevel modeling, this paper examines the impact of migration and urbanization on drug abuse and casual sex in China. The results suggest that being a migrant predicts significantly higher odds of having casual sex but lower odds of drug abuse. Living in an urban place is a significant risk factor for both illicit drug use and casual sex. There are significant cross-community (primary sampling unit) variances in the random intercept ...

Multi-level converter with auxiliary resonant-commutated pole

NARCIS (Netherlands)

Dijkhuizen, F.R.; Duarte, J.L.; Groningen, van W.D.H.

1998-01-01

The family of multi-level power converters offers advantages for high-power, high-voltage systems. A multi-level nested-cell structure has the attractive feature of static and dynamic voltage sharing among the switches. This is achieved by using clamping capacitors (floating capacitors) rather than

Logistics Reduction: RFID Enabled Autonomous Logistics Management (REALM)

Data.gov (United States)

National Aeronautics and Space Administration — The Advanced Exploration Systems (AES) Logistics Reduction (LR) project Radio-frequency identification (RFID) Enabled Autonomous Logistics Management (REALM) task...

Assessment of progress towards universal health coverage for people with disabilities in Afghanistan: a multilevel analysis of repeated cross-sectional surveys.

Science.gov (United States)

Trani, Jean-Francois; Kumar, Praveen; Ballard, Ellis; Chandola, Tarani

2017-08-01

Since 2002, Afghanistan has made much effort to achieve universal health coverage. According to the UN Sustainable Development Goal 3, target eight, the provision of quality care to all must include usually underserved groups, including people with disabilities. We investigated whether a decade of international investment in the Afghan health system has brought quality health care to this group. We used data from two representative household surveys, one done in 2005 and one in 2013, in 13 provinces of Afghanistan, that included questions about activity limitations and functioning difficulties, socioeconomic factors, perceived availability of health care, and experience with coverage of health-care needs. We used multilevel modelling and tests for interaction to investigate factors associated with differences in perception between timepoints and whether village remoteness affected changes in perception. The 2005 survey included 334 people, and the 2013 survey included 961 people. Mean age, employment, and asset levels of participants with disabilities increased slightly between 2005 and 2013, but the level of education decreased. Formal education and higher asset level were associated with improved availability of health care and positive experience with coverage of health-care needs, whereas being employed was only associated with the latter. Perceived availability of health care and positive experience with coverage of health-care needs significantly worsened in 2013 compared with in 2005 (227 [69%] perceived that services were available in 2005 vs 405 [44%] in 2013, pAfghanistan, particularly in remote areas. Health policy in Afghanistan will need to address attitudinal, social, and accessibility barriers to health care. Swedish International Development Agency. Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

The Effects of Collaboration on Logistical Performance and Transaction Costs

Directory of Open Access Journals (Sweden)

Vieira, J.G.V.

2015-05-01

Full Text Available This paper assesses the effect of supplier-retailer collaboration on logistical performance and transaction costs from the viewpoint of retail sector suppliers. The methodology consists of an empirical study conducted over nine months in the logistics department of a large Brazilian supermarket retailer and a survey of 125 representatives of 90 manufacturers. The results show collaboration contributes to an improvement in logistical performance related to urgent deliveries and deliveries that occur during periods of high demand. Interpersonal collaboration and joint actions contribute to the reduction of uncertainties among the participants. These joint actions, together with strategic collaboration, contribute to an increase in investment in specific assets, such as dedicated production lines or specialised vehicle fleets to serve partners. The study provides an analysis of logistical performance and transaction cost elements not previously investigated, including urgent deliveries and deliveries during periods of high demand, contract negotiation and renegotiation, waiting time for agreements to be reached, contingency logistics planning, and various cultural, psychosocial and geographical aspects of the supplier-retailer relationship. Managerial implications, research limitation and future research are also discussed.

Social Inequalities in Self-Reported Health in Eastern European Countries: Findings from the European Social Survey

DEFF Research Database (Denmark)

Mazhak, Iryna

2017-01-01

rounds (from 2002 to 2012) were included in the research. The study is limited to the population from 18 to 65 years old. The multilevel binomial logistic regression analysis was conducted to investigate socio-economic differences in health. The data was analyzed using IBM SPSS 22. The results...

Green Logistic Practices: A Theoretical Approach of the Theme

Directory of Open Access Journals (Sweden)

Emanuele Engelage

2016-12-01

Full Text Available This study aims to identify the main practices of green logistic considered in national and international academic literature. Using standard techniques for selection of previous studies, this study firts presents the definition of green logistic term in order to differentiate it from other concepts commonly treated similarly, as circular economy, the green chain management (GSCM, the reverse logistics and the environmental certifications (ISO 14001, to obtain clarity about their delimitations, scopes and depth. The study also organizes a taxonomy that involves different functional areas of the company, giving direction to the sustainable conduct, resulting in nine components of green logistic that serve as subsidy for the classification of the identified practices. Based on this conceptual definition and taxonomy, lists 112 practices of green logistic, among which 85 are enterprise ambit, 24 governmental and 3 towards consumers. Regarding the quantity of identified practices and the number of citations, both in business sphere as well as in governmental, the most representative part is related to green  Among the most cited practices are the search by more efficient deliveries, using intermodal and multimodal transport that are less polluting and the programming and optimization of flows deliveries. The survey also revealed that although the concept of green logistics is consolidated in the literature, the majority of studies, especially the empirical, concentrates on some of its components, in particular transport and reverse logistic.

A multilevel evolutionary framework for sustainability analysis

Directory of Open Access Journals (Sweden)

Timothy M. Waring

2015-06-01

Full Text Available Sustainability theory can help achieve desirable social-ecological states by generalizing lessons across contexts and improving the design of sustainability interventions. To accomplish these goals, we argue that theory in sustainability science must (1 explain the emergence and persistence of social-ecological states, (2 account for endogenous cultural change, (3 incorporate cooperation dynamics, and (4 address the complexities of multilevel social-ecological interactions. We suggest that cultural evolutionary theory broadly, and cultural multilevel selection in particular, can improve on these fronts. We outline a multilevel evolutionary framework for describing social-ecological change and detail how multilevel cooperative dynamics can determine outcomes in environmental dilemmas. We show how this framework complements existing sustainability frameworks with a description of the emergence and persistence of sustainable institutions and behavior, a means to generalize causal patterns across social-ecological contexts, and a heuristic for designing and evaluating effective sustainability interventions. We support these assertions with case examples from developed and developing countries in which we track cooperative change at multiple levels of social organization as they impact social-ecological outcomes. Finally, we make suggestions for further theoretical development, empirical testing, and application.

Perceived and Objective Measures of Neighborhood Walkability and Physical Activity among Adults in Japan: A Multilevel Analysis of a Nationally Representative Sample.

Science.gov (United States)

Hanibuchi, Tomoya; Nakaya, Tomoki; Yonejima, Mayuko; Honjo, Kaori

2015-10-23

Although associations between a person's neighborhood and their health have been studied internationally, most studies have been limited to a few cities or towns. Therefore, we used a nationally representative sample to explore whether perceived and objective neighborhood walkability was associated with the physical activity of residents. Data were analyzed from the Japanese General Social Surveys of 2010 (n = 2395; 1114 men and 1281 women). Perceived walkability was scored using factor analysis for the respondents' perceptions of neighborhood conditions, while objective walkability was measured using the geographic information system approach. Finally, multilevel logistic regression analysis was performed to examine whether neighborhood walkability was associated with the frequency of leisure-time physical activity (LTPA) among respondents. We found that perceived walkability was positively associated with the frequency of LTPA (odds ratio of the highest quartile was 1.53 (1.14-2.05) compared with the lowest quartile); however, objective walkability showed no association. When stratified by gender, an association between perceived walkability and LTPA was observed among women, but only a marginally significant association was present between objective walkability and LTPA among men. We conclude that the association between neighborhood walkability and LTPA can be partially generalized across Japan.

Multilevel sparse functional principal component analysis.

Science.gov (United States)

Di, Chongzhi; Crainiceanu, Ciprian M; Jank, Wolfgang S

2014-01-29

We consider analysis of sparsely sampled multilevel functional data, where the basic observational unit is a function and data have a natural hierarchy of basic units. An example is when functions are recorded at multiple visits for each subject. Multilevel functional principal component analysis (MFPCA; Di et al. 2009) was proposed for such data when functions are densely recorded. Here we consider the case when functions are sparsely sampled and may contain only a few observations per function. We exploit the multilevel structure of covariance operators and achieve data reduction by principal component decompositions at both between and within subject levels. We address inherent methodological differences in the sparse sampling context to: 1) estimate the covariance operators; 2) estimate the functional principal component scores; 3) predict the underlying curves. Through simulations the proposed method is able to discover dominating modes of variations and reconstruct underlying curves well even in sparse settings. Our approach is illustrated by two applications, the Sleep Heart Health Study and eBay auctions.

Prevalence and Correlates of Cyberbullying Perpetration. Findings from a German Representative Student Survey.

Science.gov (United States)

Bergmann, Marie Christine; Baier, Dirk

2018-02-06

Based on a survey of 9512 ninth-grade students conducted in Lower Saxony in 2013, this paper examines the prevalence of cyberbullying perpetration and the correlates of this behavior. Binary logistic multilevel regression was used in order to analyze correlates of sexual and psychological cyberbully perpetration. In the preceding semester, 2.4% of the adolescents were perpetrators of psychological cyberbullying and 0.4% bullied someone online sexually. Low levels of empathy, frequent consumption of violent media, and being victims of aggressive online behaviors are correlated with the risk that a child will become a bully. Female adolescents are less likely than boys to engage in sexual cyberbullying perpetration, but they are more likely to engage in psychological cyberbullying perpetration. Only a small share of adolescents engage in sexual and psychological cyberbullying perpetration. Both behaviors differ in their correlates, however being a victim of aggressive online behaviors increase the risk for perpetration of both behaviors, respectively.

Prevalence and Correlates of Cyberbullying Perpetration. Findings from a German Representative Student Survey

Science.gov (United States)

Bergmann, Marie Christine; Baier, Dirk

2018-01-01

Based on a survey of 9512 ninth-grade students conducted in Lower Saxony in 2013, this paper examines the prevalence of cyberbullying perpetration and the correlates of this behavior. Binary logistic multilevel regression was used in order to analyze correlates of sexual and psychological cyberbully perpetration. In the preceding semester, 2.4% of the adolescents were perpetrators of psychological cyberbullying and 0.4% bullied someone online sexually. Low levels of empathy, frequent consumption of violent media, and being victims of aggressive online behaviors are correlated with the risk that a child will become a bully. Female adolescents are less likely than boys to engage in sexual cyberbullying perpetration, but they are more likely to engage in psychological cyberbullying perpetration. Only a small share of adolescents engage in sexual and psychological cyberbullying perpetration. Both behaviors differ in their correlates, however being a victim of aggressive online behaviors increase the risk for perpetration of both behaviors, respectively. PMID:29415426

Prevalence and Correlates of Cyberbullying Perpetration. Findings from a German Representative Student Survey

Directory of Open Access Journals (Sweden)

Marie Christine Bergmann

2018-02-01

Full Text Available Based on a survey of 9512 ninth-grade students conducted in Lower Saxony in 2013, this paper examines the prevalence of cyberbullying perpetration and the correlates of this behavior. Binary logistic multilevel regression was used in order to analyze correlates of sexual and psychological cyberbully perpetration. In the preceding semester, 2.4% of the adolescents were perpetrators of psychological cyberbullying and 0.4% bullied someone online sexually. Low levels of empathy, frequent consumption of violent media, and being victims of aggressive online behaviors are correlated with the risk that a child will become a bully. Female adolescents are less likely than boys to engage in sexual cyberbullying perpetration, but they are more likely to engage in psychological cyberbullying perpetration. Only a small share of adolescents engage in sexual and psychological cyberbullying perpetration. Both behaviors differ in their correlates, however being a victim of aggressive online behaviors increase the risk for perpetration of both behaviors, respectively.

The macro-level drivers of intimate partner violence: New evidence from a multilevel dataset.

Science.gov (United States)

Kovacs, Roxanne J

2017-05-04

This study uses multi-level regression analysis to determine the impact of macro-level drivers on intimate partner violence (IPV). It argues that we need to look beyond the usual, individual-level risk factors in order to understand why women experience abuse at the hands of their intimate partners. Using Demographic and Health Survey data from 40 developing countries, this paper demonstrates that socio-economic development, beliefs and laws play an important role in explaining IPV.

Authoritative School Climate and High School Student Risk Behavior: A Cross-sectional Multi-level Analysis of Student Self-Reports.

Science.gov (United States)

Cornell, Dewey; Huang, Francis

2016-11-01

Many adolescents engage in risk behaviors such as substance use and aggression that jeopardize their healthy development. This study tested the hypothesis that an authoritative school climate characterized by strict but fair discipline and supportive teacher-student relationships is conducive to lower risk behavior for high school students. Multilevel logistic regression models were used to analyze cross-sectional, student-report survey data from a statewide sample of 47,888 students (50.6 % female) in 319 high schools. The students included ninth (26.6 %), tenth (25.5 %), eleventh (24.1 %) and twelfth (23.8 %) grade with a racial/ethnic breakdown of 52.2 % White, 18.0 % Black, 13.1 % Hispanic, 5.9 % Asian, and 10.8 % reporting another or two or more race/ethnicities. Schools with an authoritative school climate had lower levels of student-reported alcohol and marijuana use; bullying, fighting, and weapon carrying at school; interest in gang membership; and suicidal thoughts and behavior. These results controlled for demographic variables of student gender, race, grade, and parent education level as well as school size, percentage of minority students, and percentage of low income students. Overall, these findings add new evidence that an authoritative school climate is associated with positive student outcomes.

Possibilities of the common research-development action in the field of automated logistical engines

Directory of Open Access Journals (Sweden)

Pap Lajos

2003-12-01

Full Text Available The paper briefly presents the R&D cooperation of the Department of Materials Handling and Logistics and Departments of Automation. The main fields of cooperation are introduced. Different kind of Linear Motor (hereafter LM drives are being developed and tested for warehouse and rolling conveyor systems. Modern control strategies using AI methods are being investigated and tested for Automated guide vehicle. Wireless communication methods are being searched and developed for mobile material handling devices. Application possibilities of voice recognition and image processing are being tested for control of material handling robots and devices. Application of process visualization programs are being developed and investigated. Multi-level industrial communication system is being developed for the laboratories of the cooperating departments.

Multi-level trellis coded modulation and multi-stage decoding

Science.gov (United States)

Costello, Daniel J., Jr.; Wu, Jiantian; Lin, Shu

1990-01-01

Several constructions for multi-level trellis codes are presented and many codes with better performance than previously known codes are found. These codes provide a flexible trade-off between coding gain, decoding complexity, and decoding delay. New multi-level trellis coded modulation schemes using generalized set partitioning methods are developed for Quadrature Amplitude Modulation (QAM) and Phase Shift Keying (PSK) signal sets. New rotationally invariant multi-level trellis codes which can be combined with differential encoding to resolve phase ambiguity are presented.

Logistic chain modelling

NARCIS (Netherlands)

Slats, P.A.; Bhola, B.; Evers, J.J.M.; Dijkhuizen, G.

1995-01-01

Logistic chain modelling is very important in improving the overall performance of the total logistic chain. Logistic models provide support for a large range of applications, such as analysing bottlenecks, improving customer service, configuring new logistic chains and adapting existing chains to

Proposed Novel Multiphase-Multilevel Inverter Configuration for Open-End Winding Loads

DEFF Research Database (Denmark)

Padamanaban, Sanjeevi Kumar; Wheeler, Patrick; Blaabjerg, Frede

2016-01-01

This paper presents a new multiphase-multilevel inverter configuration for open-winding loads and suitable for medium power (low-voltage/high-current) applications such as `More Electric Aircraft'. Modular structure comprised of standard dual three-phase voltage source inverter (VSI) along with one...... is developed in this work and overcomes the complexity of standard space vector modulations, easy for real implementation purposes in digital processors. Proposed six-phase multilevel inverter configuration generates multilevel outputs with benefit in comprises with standard multilevel inverter topologies...

An Impact of Reverse Logistics Activities on Marketing Communication

Directory of Open Access Journals (Sweden)

František Milichovský

2017-01-01

Full Text Available The topic of reverse logistics has become very actual due the requirements of highly competitive market. This importance is made by significance of condition for environment-friendly production and purchasing around the world. Individual activities, which are included in reverse logistics, support entrepreneurs in their competitiveness to other companies and to own customers. The objective of the paper is to find relationship between marketing communication tool and activities of reverse logistics on behaviour of final customers in Czech Republic. A theoretical background from the area of reverse logistics supports this approach with data from primary research collected by the author. A data from primary research was used. The entire primary research focused on the evaluation of customers’ perception in the area of reverse logistics in the Czech Republic by a questionnaire survey. Sample population was created by 1266 consumers’ respondents, which were chosen in random way. There were returned questionnaires from 332 respondents. Questionnaire itself was distributed by only platform, during June 2016. The research itself was aimed at a random chosen group of people in the Czech Republic. Findings of the research shows connection of individual activities of reverse logistics and individual communication tools, which are well-accepted on customer side. The result of the research can be used for the companies that operate in the Czech or Central European market.

Long bone reconstruction using multilevel lengthening of bone defect fragments.

Science.gov (United States)

Borzunov, Dmitry Y

2012-08-01

This paper presents experimental findings to substantiate the use of multilevel bone fragment lengthening for managing extensive long bone defects caused by diverse aetiologies and shows its clinical introduction which could provide a solution for the problem of reducing the total treatment time. Both experimental and clinical multilevel lengthening to bridge bone defect gaps was performed with the use of the Ilizarov method only. The experimental findings and clinical outcomes showed that multilevel defect fragment lengthening could provide sufficient bone formation and reduction of the total osteosynthesis time in one stage as compared to traditional Ilizarov bone transport. The method of multilevel regeneration enabled management of critical-size defects that measured on average 13.5 ± 0.7 cm in 78 patients. The experimental and clinical results proved the efficiency of the Ilizarov non-free multilevel bone plasty that can be recommended for practical use.

Synchronous Control of Modular Multilevel Converters

DEFF Research Database (Denmark)

Oleschuk, Valentin; Blaabjerg, Frede; Bose, Bimal K.

2002-01-01

A novel method of direct synchronous pulsewidth modulation (PWM) is applied for control of modular multilevel converters consisting from three standard triphase inverter modules along with an 0.33 p.u. output transformer. The proposed method provides synchronisation of the voltage waveforms...... for each module and the composed voltage at the output of the converter. Multilevel output voltage of the converter has quarter-wave symmetry during the whole range including the zone of overmodulation. Both continuous and discontinuous versions of synchronous PWM, based on vector approach...

Towards the development of multilevel-multiagent diagnostic aids

International Nuclear Information System (INIS)

Stratton, R.C.; Jarrell, D.B.

1991-10-01

Presented here is our methodology for developing automated aids for diagnosing faults in complex systems. We have designed these aids as multilevel-multiagent diagnostic aids based on principles that should be generally applicable to any complex system. In this methodology, ''multilevel'' refers to information models described at successful levels of abstraction that are tied together in such a way that reasoning is directed to the appropriate level as determined by the problem solving requirements. The concept of ''multiagent'' refers to the method of information processing within the multilevel model network; each model in the network is an independent information processor, i.e., an intelligent agent. 19 refs., 15 figs., 9 tabs

Managing Reverse Logistics or Reversing Logistics Management?

NARCIS (Netherlands)

M.P. de Brito (Marisa)

2004-01-01

textabstractIn the past, supply chains were busy fine-tuning the logistics from raw material to the end customer. Today an increasing flow of products is going back in the chain. Thus, companies have to manage reverse logistics as well.This thesis contributes to a better understanding of reverse

A multilevel cross-lagged structural equation analysis for reciprocal relationship between social capital and health

OpenAIRE

Sessions, John; Yu, Ge; Fu, Yu; Wall, Matin

2015-01-01

We investigated the reciprocal relationship between individual social capital and perceived mental and physical health in the UK. Using data from the British Household Panel Survey from 1991 to 2008, we fitted cross-lagged structural equation models that include three indicators of social capital vis. social participation, social network, and loneliness. Given that multiple measurement points (level 1) are nested within individuals (level 2), we also applied a multilevel model to allow for re...

Bayesian Optimal Experimental Design Using Multilevel Monte Carlo

KAUST Repository

Ben Issaid, Chaouki; Long, Quan; Scavino, Marco; Tempone, Raul

2015-01-01

Experimental design is very important since experiments are often resource-exhaustive and time-consuming. We carry out experimental design in the Bayesian framework. To measure the amount of information, which can be extracted from the data in an experiment, we use the expected information gain as the utility function, which specifically is the expected logarithmic ratio between the posterior and prior distributions. Optimizing this utility function enables us to design experiments that yield the most informative data for our purpose. One of the major difficulties in evaluating the expected information gain is that the integral is nested and can be high dimensional. We propose using Multilevel Monte Carlo techniques to accelerate the computation of the nested high dimensional integral. The advantages are twofold. First, the Multilevel Monte Carlo can significantly reduce the cost of the nested integral for a given tolerance, by using an optimal sample distribution among different sample averages of the inner integrals. Second, the Multilevel Monte Carlo method imposes less assumptions, such as the concentration of measures, required by Laplace method. We test our Multilevel Monte Carlo technique using a numerical example on the design of sensor deployment for a Darcy flow problem governed by one dimensional Laplace equation. We also compare the performance of the Multilevel Monte Carlo, Laplace approximation and direct double loop Monte Carlo.

Bayesian Optimal Experimental Design Using Multilevel Monte Carlo

KAUST Repository

Ben Issaid, Chaouki

2015-01-07

Experimental design is very important since experiments are often resource-exhaustive and time-consuming. We carry out experimental design in the Bayesian framework. To measure the amount of information, which can be extracted from the data in an experiment, we use the expected information gain as the utility function, which specifically is the expected logarithmic ratio between the posterior and prior distributions. Optimizing this utility function enables us to design experiments that yield the most informative data for our purpose. One of the major difficulties in evaluating the expected information gain is that the integral is nested and can be high dimensional. We propose using Multilevel Monte Carlo techniques to accelerate the computation of the nested high dimensional integral. The advantages are twofold. First, the Multilevel Monte Carlo can significantly reduce the cost of the nested integral for a given tolerance, by using an optimal sample distribution among different sample averages of the inner integrals. Second, the Multilevel Monte Carlo method imposes less assumptions, such as the concentration of measures, required by Laplace method. We test our Multilevel Monte Carlo technique using a numerical example on the design of sensor deployment for a Darcy flow problem governed by one dimensional Laplace equation. We also compare the performance of the Multilevel Monte Carlo, Laplace approximation and direct double loop Monte Carlo.

EFFECT OF INDIVIDUAL AND COMMUNITY FACTORS ON MATERNAL HEALTH CARE SERVICE USE IN INDIA: A MULTILEVEL APPROACH.

Science.gov (United States)

Yadav, Awdhesh; Kesarwani, Ranjana

2016-01-01

This study aimed to assess empirically the influence of individual and community (neighbourhood) factors on the use of maternal health care services in India through three outcomes: utilization of full antenatal care (ANC) services, safe delivery and utilization of postnatal care services. Data were from the third round of the National Family Health Survey (2005-06). The study sample constituted ever-married women aged 15-49 from 29 Indian states. Multilevel logistic regression analysis was performed for the three outcomes of interest accounting for individual- and community-level factors associated with the use of maternal health care services. A substantial amount of variation was observed at the community level. About 45%, 51% and 62% of the total variance in the use of full ANC, safe delivery and postnatal care, respectively, could be attributed to differences across the community. There was significant variation in the use of maternal health care services at the individual level, with socioeconomic status and mother's education being the most prominent factors associated with the use of maternal health care services. At the community level, urban residence and poverty concentration were found to be significantly associated with maternal health care service use. The results suggest that an increased focus on community-level interventions could lead to an increase in the utilization of maternal health care services in India.

Social disorganization and history of child sexual abuse against girls in sub-Saharan Africa: a multilevel analysis.

Science.gov (United States)

Yahaya, Ismail; Uthman, Olalekan A; Soares, Joaquim; Macassa, Gloria

2013-08-07

Child sexual abuse (CSA) is a considerable public health problem. Less focus has been paid to the role of community level factors associated with CSA. The aim of this study was to examine the association between neighbourhood-level measures of social disorganization and CSA. We applied multiple multilevel logistic regression analysis on Demographic and Health Survey data for 6,351 adolescents from six countries in sub-Saharan Africa between 2006 and 2008. The percentage of adolescents that had experienced CSA ranged from 1.04% to 5.84%. There was a significant variation in the odds of reporting CSA across the communities, suggesting 18% of the variation in CSA could be attributed to community level factors. Respondents currently employed were more likely to have reported CSA than those who were unemployed (odds ratio [OR]=2.05, 95% confidence interval [CI] 1.48 to 2.83). Respondents from communities with a high family disruption rate were 57% more likely to have reported CSA (OR=1.57, 95% CI 1.14 to 2.16). We found that exposure to CSA was associated with high community level of family disruption, thus suggesting that neighbourhoods may indeed have significant important effects on exposure to CSA. Further studies are needed to explore pathways that connect the individual and neighbourhood levels, that is, means through which deleterious neighbourhood effects are transmitted to individuals.

Federalism and multilevel governance

NARCIS (Netherlands)

van der Wusten, H.; Agnew, J.; Mamadouh, V.; Secor, A.J.; Sharp, J.

2015-01-01

Federalism and multilevel governance both emphasize polycentricity in governing arrangements. With their different intellectual pedigrees, these concepts are discussed in two separate sections. Fragments are now increasingly mixed up in hybrid forms of governance that also encompass originally

Evolution of competencies of logistics and supply chain managers

Directory of Open Access Journals (Sweden)

2010-09-01

Full Text Available One new concept emerging in current business reality is a virtual supply chain. This paper indicates in what way a virtual supply chain, that is subject to constant changes, influences the requirements for competencies of managerial staff in that specific business environment operating with discontinuities, temporary character, focus on customers, geographical dispersion, intensive support of IT systems, network structure and an extensive use of key competencies of their members. The paper presents the concept of virtual supply chain and results of research conducted in order to determine how current knowledge and skills of decision-makers fit into that concept. In that sense the quality of human resources, connected to logistics operations and management, has been examined from the point of view of the directions of required changes in the area of adequate qualifications and competencies for efficient management of virtual supply chains. Research was be based on a survey, conducted in 2010 and aiming at identification of skills and qualifications of logistics personnel in average Polish companies. Results of the study indicated that logistics qualifications of managerial personnel in Polish companies are constantly improving. Requirements of virtualisation of logistics and supply chain business result in a modified patterns of logistics professional carriers and new challenges for education and training systems.

Multilevel Image Segmentation Based on an Improved Firefly Algorithm

Directory of Open Access Journals (Sweden)

Kai Chen

2016-01-01

Full Text Available Multilevel image segmentation is time-consuming and involves large computation. The firefly algorithm has been applied to enhancing the efficiency of multilevel image segmentation. However, in some cases, firefly algorithm is easily trapped into local optima. In this paper, an improved firefly algorithm (IFA is proposed to search multilevel thresholds. In IFA, in order to help fireflies escape from local optima and accelerate the convergence, two strategies (i.e., diversity enhancing strategy with Cauchy mutation and neighborhood strategy are proposed and adaptively chosen according to different stagnation stations. The proposed IFA is compared with three benchmark optimal algorithms, that is, Darwinian particle swarm optimization, hybrid differential evolution optimization, and firefly algorithm. The experimental results show that the proposed method can efficiently segment multilevel images and obtain better performance than the other three methods.

Integrity Based Access Control Model for Multilevel XML Document

Institute of Scientific and Technical Information of China (English)

HONG Fan; FENG Xue-bin; HUANO Zhi; ZHENG Ming-hui

2008-01-01

XML's increasing popularity highlights the security demand for XML documents. A mandatory access control model for XML document is presented on the basis of investigation of the function dependency of XML documents and discussion of the integrity properties of multilevel XML document. Then, the algorithms for decomposition/recovery multilevel XML document into/from single level document are given, and the manipulation rules for typical operations of XQuery and XUpdate: QUERY, INSERT,UPDATE, and REMOVE, are elaborated. The multilevel XML document access model can meet the requirement of sensitive information processing application.

Multilevel- marketing v České republice

OpenAIRE

Prudičová, Petra

2009-01-01

Graduation Theses concerns an analysis and evaluation, of how a multi-level marketing, functions in the Czech Republic. Explaining its ideals and principals, while it theoretically applies on a specific company, which is involved with multi-level marketing. The target is to introduce such system in an objective way and evaluate it in practice.

Complex logistics audit system

Directory of Open Access Journals (Sweden)

Zuzana Marková

2010-02-01

Full Text Available Complex logistics audit system is a tool for realization of logistical audit in the company. The current methods for logistics auditare based on “ad hok” analysis of logisticsl system. This paper describes system for complex logistics audit. It is a global diagnosticsof logistics processes and functions of enterprise. The goal of logistics audit is to provide comparative documentation for managementabout state of logistics in company and to show the potential of logistics changes in order to achieve more effective companyperformance.

Race, Employment Disadvantages, and Heavy Drinking: A Multilevel Model.

Science.gov (United States)

Lo, Celia C; Cheng, Tyrone C

2015-01-01

We intended to determine (1) whether stress from employment disadvantages led to increased frequency of heavy drinking and (2) whether race had a role in the relationship between such disadvantages and heavy drinking. Study data came from the National Longitudinal Survey of Youth, a prospective study that has followed a representative sample of youth since 1979. Our study employed data from 11 particular years, during which the survey included items measuring respondents' heavy drinking. Our final sample numbered 10,171 respondents, which generated 75,394 person-waves for data analysis. Both of our hypotheses were supported by results from multilevel mixed-effects linear regression capturing the time-varying nature of three employment disadvantages and of the heavy-drinking outcome. Results show that more-frequent heavy drinking was associated with employment disadvantages, and that disadvantages' effects on drinking were stronger for Blacks and Hispanics than for Whites. That worsening employment disadvantages have worse effects on minority groups' heavy drinking (compared to Whites) probably contributes to the racial health disparities in our nation. Policies and programs addressing such disparities are especially important during economic downturns.

Analyzing the Efficient Execution of In-Store Logistics Processes in Grocery Retailing

DEFF Research Database (Denmark)

Reiner, Gerald; Teller, Christop; Kotzab, Herbert

2013-01-01

In this article, we examine in-store logistics processes for handling dairy products, from the incoming dock to the shelves of supermarkets and hypermarkets. The efficient execution of the in-store logistics related to such fast-moving, sensitive, and essential items is challenging and crucial...... for grocery retailers' sales, profits, and image. In our empirical study, we survey in-store logistics processes in 202 grocery supermarkets and hypermarkets belonging to a major retail chain in central Europe. Using a data envelopment analysis (DEA) and simulation, we facilitate process benchmarking....... In particular, we identify ways of improving in-store logistics processes by showing the performance impacts of different managerial strategies and tactics. The DEA results indicate different efficiency levels for different store formats; the hybrid store format of the small hypermarket exhibits a comparatively...

Multi-level functionality of social media in the aftermath of the Great East Japan Earthquake.

Science.gov (United States)

Jung, Joo-Young; Moro, Munehito

2014-07-01

This study examines the multi-level functionalities of social media in the aftermath of the Great East Japan Earthquake of 11 March 2011. Based on a conceptual model of multi-level story flows of social media (Jung and Moro, 2012), the study analyses the multiple functionalities that were ascribed to social media by individuals, organisations, and macro-level social systems (government and the mass media) after the earthquake. Based on survey data, a review of Twitter timelines and secondary sources, the authors derive five functionalities of social media: interpersonal communications with others (micro level); channels for local governments; organisations and local media (meso level); channels for mass media (macro level); information sharing and gathering (cross level); and direct channels between micro-/meso- and macro-level agents. The study sheds light on the future potential of social media in disaster situations and suggests how to design an effective communication network to prepare for emergency situations. © 2014 The Author(s). Disasters © Overseas Development Institute, 2014.

Self-balanced modulation and magnetic rebalancing method for parallel multilevel inverters

Science.gov (United States)

Li, Hui; Shi, Yanjun

2017-11-28

A self-balanced modulation method and a closed-loop magnetic flux rebalancing control method for parallel multilevel inverters. The combination of the two methods provides for balancing of the magnetic flux of the inter-cell transformers (ICTs) of the parallel multilevel inverters without deteriorating the quality of the output voltage. In various embodiments a parallel multi-level inverter modulator is provide including a multi-channel comparator to generate a multiplexed digitized ideal waveform for a parallel multi-level inverter and a finite state machine (FSM) module coupled to the parallel multi-channel comparator, the FSM module to receive the multiplexed digitized ideal waveform and to generate a pulse width modulated gate-drive signal for each switching device of the parallel multi-level inverter. The system and method provides for optimization of the output voltage spectrum without influence the magnetic balancing.

Benchmarking criteria for evaluating third-party logistics providers in South Africa

Directory of Open Access Journals (Sweden)

Claudia Karrapan

2017-07-01

Full Text Available Background: In South Africa, deemed the ‘gateway to Africa’, there is limited evidence of the existence of a survey ranking third-party logistics providers (3PLs. This lack of comparative information of the major 3PLs based on key outsourcing and ranking criteria complicates the selection process for companies that intend to contract 3PLs. Objective: The purpose of this article was to determine the critical selection and ranking criteria for the creation of an index to evaluate 3PLs in South Africa for developing a 3PL benchmarking index. Method: Survey data were collected from 103 of the Top 500 Companies in Africa that use 3PLs and operate within the sectors that mostly outsource logistics services in South Africa. A factor analysis method was employed. Results: Three factors for 3PLs selection converged: service quality, information management and compliance, and collaboration. The top three ranked categories for 3PLs selection are cost and price structure, service delivery and the relationship with the 3PL provider. Most respondents (90% confirmed a need for a 3PLs index in South Africa. Conclusion: The results help managers with the strategic selection of 3PLs as these critical logistics outsourcing selection criteria can be used to evaluate and rank 3PLs prior to contracting. Based on the selection criteria for logistics outsourcing identified and ranked in this article, a ranking index for 3PLs in South Africa can be developed.

Multiple imputation by chained equations for systematically and sporadically missing multilevel data.

Science.gov (United States)

Resche-Rigon, Matthieu; White, Ian R

2018-06-01

In multilevel settings such as individual participant data meta-analysis, a variable is 'systematically missing' if it is wholly missing in some clusters and 'sporadically missing' if it is partly missing in some clusters. Previously proposed methods to impute incomplete multilevel data handle either systematically or sporadically missing data, but frequently both patterns are observed. We describe a new multiple imputation by chained equations (MICE) algorithm for multilevel data with arbitrary patterns of systematically and sporadically missing variables. The algorithm is described for multilevel normal data but can easily be extended for other variable types. We first propose two methods for imputing a single incomplete variable: an extension of an existing method and a new two-stage method which conveniently allows for heteroscedastic data. We then discuss the difficulties of imputing missing values in several variables in multilevel data using MICE, and show that even the simplest joint multilevel model implies conditional models which involve cluster means and heteroscedasticity. However, a simulation study finds that the proposed methods can be successfully combined in a multilevel MICE procedure, even when cluster means are not included in the imputation models.

A note on Verhulst's logistic equation and related logistic maps

International Nuclear Information System (INIS)

Gutierrez, M Ranferi; Reyes, M A; Rosu, H C

2010-01-01

We consider the Verhulst logistic equation and a couple of forms of the corresponding logistic maps. For the case of the logistic equation we show that using the general Riccati solution only changes the initial conditions of the equation. Next, we consider two forms of corresponding logistic maps reporting the following results. For the map x n+1 = rx n (1 - x n ) we propose a new way to write the solution for r = -2 which allows better precision of the iterative terms, while for the map x n+1 - x n = rx n (1 - x n+1 ) we show that it behaves identically to the logistic equation from the standpoint of the general Riccati solution, which is also provided herein for any value of the parameter r.

Multilevel structural equation models for assessing moderation within and across levels of analysis.

Science.gov (United States)

Preacher, Kristopher J; Zhang, Zhen; Zyphur, Michael J

2016-06-01

Social scientists are increasingly interested in multilevel hypotheses, data, and statistical models as well as moderation or interactions among predictors. The result is a focus on hypotheses and tests of multilevel moderation within and across levels of analysis. Unfortunately, existing approaches to multilevel moderation have a variety of shortcomings, including conflated effects across levels of analysis and bias due to using observed cluster averages instead of latent variables (i.e., "random intercepts") to represent higher-level constructs. To overcome these problems and elucidate the nature of multilevel moderation effects, we introduce a multilevel structural equation modeling (MSEM) logic that clarifies the nature of the problems with existing practices and remedies them with latent variable interactions. This remedy uses random coefficients and/or latent moderated structural equations (LMS) for unbiased tests of multilevel moderation. We describe our approach and provide an example using the publicly available High School and Beyond data with Mplus syntax in Appendix. Our MSEM method eliminates problems of conflated multilevel effects and reduces bias in parameter estimates while offering a coherent framework for conceptualizing and testing multilevel moderation effects. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

LOGISTICS OPTIMIZATION USING ONTOLOGIES

OpenAIRE

Hendi , Hayder; Ahmad , Adeel; Bouneffa , Mourad; Fonlupt , Cyril

2014-01-01

International audience; Logistics processes involve complex physical flows and integration of different elements. It is widely observed that the uncontrolled processes can decline the state of logistics. The optimization of logistic processes can support the desired growth and consistent continuity of logistics. In this paper, we present a software framework for logistic processes optimization. It primarily defines logistic ontologies and then optimize them. It intends to assist the design of...

Individual and community level socioeconomic inequalities in contraceptive use in 10 Newly Independent States: a multilevel cross-sectional analysis

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Janevic Teresa

2012-11-01

Full Text Available Abstract Introduction Little is known regarding the association between socioeconomic factors and contraceptive use in the Newly Independent States (NIS, countries that have experienced profound changes in reproductive health services during the transition from socialism to a market economy. Methods Using 2005–2006 data from Demographic Health Surveys (Armenia, Azerbaijan, and Moldova and Multiple Indicator Cluster Surveys (Belarus, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Ukraine, and Uzbekistan, we examined associations between individual and community socioeconomic status with current modern contraceptive use (MCU among N = 55,204 women aged 15–49 married or in a union. Individual socioeconomic status was measured using quintiles of wealth index and education level (higher than secondary school, secondary school or less. Community socioeconomic status was measured as the percentage of households in the poorest quintile of the nationals household wealth index (0%, 0–25%, or greater than 25%. We used multilevel logistic regression to estimate associations adjusted for age, number of children, urban/rural, and socioeconomic variables. Results MCU varied by country from 14% (in Azerbaijan to 62% (in Belarus. Overall, women living in the poorest communities were less likely than those in the richest to use modern contraceptives (adjusted odds ratio (aOR = 0.82, 95% Confidence Interval = 0.76, 0.89. Similarly, there was an increasing odds of MCU with increasing individual-level wealth. Women with a lower level of education also had lower odds of MCU than those with a higher level of education (aOR = .75, 95%CI = 0.71, 0.79. In country-specific analyses, community-level socioeconomic inequalities were apparent in 4 of 10 countries; in contrast, inequalities by individual-level wealth were apparent in 7 countries and by education in 8 countries. All countries in which community-level socioeconomic status was associated with

Toward sustainable logistics

NARCIS (Netherlands)

Soysal, Mehmet; Bloemhof-Ruwaard, Jacqueline M.

2017-01-01

The fast evolution of sustainability leads to the development of a new fast-growing concept called sustainable logistics management. This research addresses recent business trends and challenges in logistics and their implications for sustainable logistics management. Additionally, we discuss policy

Toward sustainable logistics

NARCIS (Netherlands)

Soysal, Mehmet; Bloemhof-Ruwaard, Jacqueline M.

2018-01-01

The fast evolution of sustainability leads to the development of a new fast-growing concept called sustainable logistics management. This research addresses recent business trends and challenges in logistics and their implications for sustainable logistics management. Additionally, we discuss policy

Multilevel Hierarchy of Economic Space: Formation of Evolutionary Taxonomy

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Daniil Petrovich Frolov

2013-12-01

Full Text Available The article considers methodological problems of hierarchical structuring of economic space. The evolution survey of multilevel analysis concepts reveals a dominant role of two-level (micro- macro neoclassical models because of the path dependence effect. In institutional and evolutionary theories the application of mesoanalysis and three-level models gradually becomes more active, but conventions in the field of taxonomy are extremely inert. The main methodological problems of a hierarchical taksonomization of economic space include the problem of taxonomical «rupture» of a subject and a method of Economics, the problem of an identification of the level (rank and scale of economic phenomena, the problem of an identification of subjects and business location, the problem of terminological unification. The author›s hierarchical model of economic space is developed in a context of the generalized evolutionary theory on the basis of multilevel population thinking. The model offers differentiation of industrial and territorial (spatial division and cooperation of labour and, more widely, economic activity. Branches and generation are treated as objects of the industrial analysis, population and ecocenosis – objects of the spatial analysis that allows reintegration of spatial formations in the system of economic analysis. The study of mesolevels and interlevel relations is particularly important. Institutionalism can be considered as metanarrative, i.e. one of universal languages of Economics. Scales and ranks of the functions assigned to subjects and objects of transactions define level differentiation of institutions’ forms in economic space

South Africa’s rising logistics costs: An uncertain future

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Jan H. Havenga

2014-12-01

Full Text Available A country’s competitiveness can be severely hampered by an uncompetitive freight logistics system. During the first decade of the 21st century, two in-depth models were developed for South Africa which provide a framework for measuring and improving the country’s freight logistics system – the cost of logistics survey and the freight demand model. These models also allow for the development of scenarios for key identified risks. The objectives of this study were to provide an overview of South Africa’s surface freight transport industry,identify key risks to national competitiveness and suggest ways in which these risks could be mitigated. Freight flows were modelled by disaggregating the national input–output model into 372 origin–destination pairs and 71 commodity groups, followed by distance decay gravity-modelling. Logistics costs were calculated by relating commodity-level freight flows to the costs of fulfilling associated logistical functions. South Africa’s economy is highly transport intensive. Excessive dependence on road freight transport exacerbates this situation. Furthermore, the road freight transport’s key cost driver is fuel, driven in turn by the oil price. Scenario analysis indicated the risk posed by this rising and volatile input and should provide impetus for policy instruments to reduce transport intensity. As such, this study concluded that a reduction in freight transport intensity is required to reduce exposure to volatile international oil prices.

From the battlefield to the bedroom: a multilevel analysis of the links between political conflict and intimate partner violence in Liberia.

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Kelly, Jocelyn T D; Colantuoni, Elizabeth; Robinson, Courtland; Decker, Michele R

2018-01-01

Assess the link between levels of armed conflict and postconflict intimate partner violence (IPV) experienced by women in Liberia. Armed Conflict Location and Event Data Project data were used to measure conflict-related fatalities in districts in Liberia during the country's civil war from 1999 to 2003. These data were linked to individual-level data from the 2007 Demographic and Health Survey, including past-year IPV. Multilevel logistic models accounting for the clustering of women within districts evaluated the relationship of conflict fatalities with postconflict past-year IPV. Additional conflict measures, including conflict events and cumulative years of conflict, were assessed. After adjusting for individual-level characteristics correlated with IPV, residence in a conflict fatality-affected district was associated with a 50% increase in risk of IPV (adjusted OR (aOR): 1.55, 95% CI 1.26 to 1.92). Women living in a district that experienced 4-5 cumulative years of conflict were also more likely to experience IPV (aOR 1.88, 95% CI 1.29 to 2.75). Residing in a conflict-affected district even 5 years after conflict was associated with postconflict IPV. Recognising and preventing postconflict IPV violence is important to support long-term recovery in postconflict settings.

A multilevel analysis to explain self-reported adverse health effects and adaptation to urban heat: a cross-sectional survey in the deprived areas of 9 Canadian cities

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Diane Bélanger

2016-02-01

Full Text Available Abstract Background This study identifies the characteristics and perceptions related to the individual, the dwelling and the neighbourhood of residence associated with the prevalence of self-reported adverse health impacts and an adaptation index when it is very hot and humid in summer in the most disadvantaged sectors of the nine most populous cities of Québec, Canada, in 2011. Methods The study uses a cross-sectional design and a stratified representative sample; 3485 people (individual-level were interviewed in their residence. They lived in 1647 buildings (building-level in 87 most materially and socially disadvantaged census dissemination areas (DA-level. Multilevel analysis was used to perform 3-level models nested one in the other to examine individual impacts as well as the adaptation index. Results For the prevalence of impacts, which is 46 %, the logistic model includes 13 individual-level indicators (including air conditioning and the adaptation index and 1 building-level indicator. For the adaptation index, with values ranging from -3 to +3, the linear model has 10 individual-level indicators, 1 building-level indicator and 2 DA-level indicators. Of all these indicators, 9 were associated to the prevalence of impacts only and 8 to the adaptation index only. Conclusion This 3-level analysis shows the differential importance of the characteristics of residents, buildings and their surroundings on self-reported adverse health impacts and on adaptation (other than air conditioning under hot and humid summer conditions. It also identifies indicators specific to impacts or adaptation. People with negative health impacts from heat rely more on adaptation strategies while low physical activity and good dwelling/building insulation lead to lower adaptation. Better neighbourhood walkability favors adaptations other than air conditioning. Thus, adaptation to heat in these neighbourhoods seems reactive rather than preventive. These first multi-level

A multilevel analysis to explain self-reported adverse health effects and adaptation to urban heat: a cross-sectional survey in the deprived areas of 9 Canadian cities.

Science.gov (United States)

Bélanger, Diane; Abdous, Belkacem; Valois, Pierre; Gosselin, Pierre; Sidi, Elhadji A Laouan

2016-02-12

This study identifies the characteristics and perceptions related to the individual, the dwelling and the neighbourhood of residence associated with the prevalence of self-reported adverse health impacts and an adaptation index when it is very hot and humid in summer in the most disadvantaged sectors of the nine most populous cities of Québec, Canada, in 2011. The study uses a cross-sectional design and a stratified representative sample; 3485 people (individual-level) were interviewed in their residence. They lived in 1647 buildings (building-level) in 87 most materially and socially disadvantaged census dissemination areas (DA-level). Multilevel analysis was used to perform 3-level models nested one in the other to examine individual impacts as well as the adaptation index. For the prevalence of impacts, which is 46 %, the logistic model includes 13 individual-level indicators (including air conditioning and the adaptation index) and 1 building-level indicator. For the adaptation index, with values ranging from -3 to +3, the linear model has 10 individual-level indicators, 1 building-level indicator and 2 DA-level indicators. Of all these indicators, 9 were associated to the prevalence of impacts only and 8 to the adaptation index only. This 3-level analysis shows the differential importance of the characteristics of residents, buildings and their surroundings on self-reported adverse health impacts and on adaptation (other than air conditioning) under hot and humid summer conditions. It also identifies indicators specific to impacts or adaptation. People with negative health impacts from heat rely more on adaptation strategies while low physical activity and good dwelling/building insulation lead to lower adaptation. Better neighbourhood walkability favors adaptations other than air conditioning. Thus, adaptation to heat in these neighbourhoods seems reactive rather than preventive. These first multi-level insights pave the way for the development of a

The importance of intersectoral factors in promoting equity-oriented universal health coverage: a multilevel analysis of social determinants affecting neonatal infant and under-five mortality in Bangladesh.

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Huda, Tanvir M; Tahsina, Tazeen; El Arifeen, Shams; Dibley, Michael J

2016-01-01

Health is multidimensional and affected by a wide range of factors, many of which are outside the health sector. To improve population health and reduce health inequality, it is important that we take into account the complex interactions among social, environmental, behavioural, and biological factors and design our health interventions accordingly. This study examines mortality differentials in children of different age groups by key social determinants of health (SDH) including parental education and employment, mother's level of autonomy, age, asset index, living arrangements (utilities), and other geographical contextual factors (area of residence, road conditions). We used data from the two rounds of Bangladesh Health and Demographic Survey, a nationally representative sample survey of the population residing in Bangladesh. Multilevel logistic models were used to study the impact of SDH on child mortality. The study found that the mother's age, the education of both parents, the mother's autonomy to take decisions about matters linked to the health of her child, the household socio-economic conditions, the geographical region of residence, and the condition of the roads were significantly associated with higher risks of neonatal, infant, and under-five mortality in Bangladesh. The study findings suggest there are complex relationships among different SDH. Thus larger intersectoral actions will be needed to reduce disparities in child health and mortality and achieve meaningful progress towards equity-oriented universal health coverage.

Management of Logistics Planning

OpenAIRE

Bjørnar Aas; Stein W. Wallace

2010-01-01

Logistics problems are gradually becoming more complex and a better understanding of logistics management as a subject is a key to deal with the new challenges. A core element of logistics management is logistics planning, which substitutes for low customer service levels, high waste, and the use of buffers and slacks in the execution of logistic activities. Furthermore, the availability of information and problem-solving capabilities are established as the core parts of logistics planning. B...

On multi-level thinking and scientific understanding

Science.gov (United States)

McIntyre, Michael Edgeworth

2017-10-01

Professor Duzheng YE's name has been familiar to me ever since my postdoctoral years at MIT with Professors Jule CHARNEY and Norman PHILLIPS, back in the late 1960s. I had the enormous pleasure of meeting Professor YE personally in 1992 in Beijing. His concern to promote the very best science and to use it well, and his thinking on multi-level orderly human activities, reminds me not only of the communication skills we need as scientists but also of the multi-level nature of science itself. Here I want to say something (a) about what science is; (b) about why multi-level thinking—and taking more than one viewpoint—is so important for scientific as well as for other forms of understanding; and (c) about what is meant, at a deep level, by "scientific understanding" and trying to communicate it, not only with lay persons but also across professional disciplines. I hope that Professor YE would approve.

Logistics strategic decisions

NARCIS (Netherlands)

Steadie Seifi, M.; Farahani, R.Z.; Rezapour, S.; Kardar, L.

2011-01-01

Logistics has an important economic role because it swallows the biggest part of capital and supports the flow and movement of many economic transactions. Therefore, designing the best logistics strategies is vital. In this chapter, we take a look at different kinds of logistics decisions,

Logistical Worlds

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Ned Rossiter

2014-03-01

Full Text Available As the managerial art and science of coordinating the movement of people, finance and things, logistical operations are central to contemporary capital. Despite its materiality in the form of communications and transport infrastructure, logistics remains an abstract machine for many. This is largely due to the compartmental structure of global supply chains and the invisibility of code. In registering the mediating force of logistics, the essay considers parametric politics as an architecture of intervention for both game design and software development. There are implications here not only for gameplay, but also the invention of method and governance of labour. How, for instance, might game design facilitate the production of a political knowledge of logistics? This becomes a matter to address for labour power vis-à-vis collective research on infrastructure, software and global supply chains.

Space Vector Pulse Width Modulation of a Multi-Level Diode ...

African Journals Online (AJOL)

Space Vector Pulse Width Modulation of a Multi-Level Diode Clamped ... of MATLAB /SIMULINK modeling of the space vector pulse-width modulation and the ... two adjacent active vectors in determining the switching process of the multilevel ...

Global variations and time trends in the prevalence of childhood myopia, a systematic review and quantitative meta-analysis:implications for aetiology and early prevention

OpenAIRE

Rudnicka, Alicja R.; Kapetanakis, Venediktos V.; Wathern, Andrea K.; Logan, Nicola S.; Gilmartin, Bernard; Whincup, Peter H.; Cook, Derek G.; Owen, Christopher G.

2016-01-01

The aim of this review was to quantify the global variation in childhood myopia prevalence over time taking account of demographic and study design factors. A systematic review identified population-based surveys with estimates of childhood myopia prevalence published by February 2015. Multilevel binomial logistic regression of log odds of myopia was used to examine the association with age, gender, urban versus rural setting and survey year, among populations of different ethnic origins, adj...

An Exploration of Teacher Attrition and Mobility in High Poverty Racially Segregated Schools

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Djonko-Moore, Cara M.

2016-01-01

The purpose of this study was to examine the mobility (movement to a new school) and attrition (quitting teaching) patterns of teachers in high poverty, racially segregated (HPRS) schools in the US. Using 2007-9 survey data from the National Center for Education Statistics, a multi-level multinomial logistic regression was performed to examine the…

Regional logistics land allocation policies: stimulating spatial concentration of logistics firms

NARCIS (Netherlands)

Heuvel, van den F.P.; Langen, de P.W.; Donselaar, van K.H.; Fransoo, J.C.

2013-01-01

Although spatial concentration of logistics firms in logistics concentration areas can be beneficial for society at large, there is not much research on the relationship between land allocation policies and logistics concentration areas. This paper analyzes land allocation policies by means of a

Regional logistics land allocation policies : stimulating spatial concentration of logistics firms

NARCIS (Netherlands)

Heuvel, van den F.P.; Langen, de P.W.; Donselaar, van K.H.; Fransoo, J.C.

2013-01-01

Although spatial concentration of logistics firms in logistics concentration areas can be beneficial for society at large, there is not much research on the relationship between land allocation policies and logistics concentration areas. This paper analyzes land allocation policies by means of a

Estimating Contraceptive Prevalence Using Logistics Data for Short-Acting Methods: Analysis Across 30 Countries.

Science.gov (United States)

Cunningham, Marc; Bock, Ariella; Brown, Niquelle; Sacher, Suzy; Hatch, Benjamin; Inglis, Andrew; Aronovich, Dana

2015-09-01

Contraceptive prevalence rate (CPR) is a vital indicator used by country governments, international donors, and other stakeholders for measuring progress in family planning programs against country targets and global initiatives as well as for estimating health outcomes. Because of the need for more frequent CPR estimates than population-based surveys currently provide, alternative approaches for estimating CPRs are being explored, including using contraceptive logistics data. Using data from the Demographic and Health Surveys (DHS) in 30 countries, population data from the United States Census Bureau International Database, and logistics data from the Procurement Planning and Monitoring Report (PPMR) and the Pipeline Monitoring and Procurement Planning System (PipeLine), we developed and evaluated 3 models to generate country-level, public-sector contraceptive prevalence estimates for injectable contraceptives, oral contraceptives, and male condoms. Models included: direct estimation through existing couple-years of protection (CYP) conversion factors, bivariate linear regression, and multivariate linear regression. Model evaluation consisted of comparing the referent DHS prevalence rates for each short-acting method with the model-generated prevalence rate using multiple metrics, including mean absolute error and proportion of countries where the modeled prevalence rate for each method was within 1, 2, or 5 percentage points of the DHS referent value. For the methods studied, family planning use estimates from public-sector logistics data were correlated with those from the DHS, validating the quality and accuracy of current public-sector logistics data. Logistics data for oral and injectable contraceptives were significantly associated (Plogistics data are strongly correlated with public-sector prevalence rates for short-acting methods, demonstrating the quality of current logistics data and their ability to provide relatively accurate prevalence estimates. The

Multilevel techniques for Reservoir Simulation

DEFF Research Database (Denmark)

Christensen, Max la Cour

The subject of this thesis is the development, application and study of novel multilevel methods for the acceleration and improvement of reservoir simulation techniques. The motivation for addressing this topic is a need for more accurate predictions of porous media flow and the ability to carry...... Full Approximation Scheme) • Variational (Galerkin) upscaling • Linear solvers and preconditioners First, a nonlinear multigrid scheme in the form of the Full Approximation Scheme (FAS) is implemented and studied for a 3D three-phase compressible rock/fluids immiscible reservoir simulator...... is extended to include a hybrid strategy, where FAS is combined with Newton’s method to construct a multilevel nonlinear preconditioner. This method demonstrates high efficiency and robustness. Second, an improved IMPES formulated reservoir simulator is implemented using a novel variational upscaling approach...

Management and logistics

OpenAIRE

Jereb, Borut; Drašković, Mimo; Gorenak, Irena; Bauk, Sanja; Fošner, Maja; Rosi, Bojan; Pupavac, Drago; Topolšek, Darja; Dorokhov, Oleksandr; Kramar, Uroš; Ivanović, Željko; Sternad, Marjan; Knez, Matjaž; Mlaker Kač, Sonja; Malyaretz, Ludmila

2018-01-01

The scientific monograph titled Logistics and Management – selected topics is the result of a bilateral project, lasting from 2013 to 2015 and titled “Preparation of a joint scientific monograph in the field of logistics and management issued at the Faculty of Logistics in Celje and the Maritime Faculty of Kotor”. The project was managed by Professor Maja Fošner, PhD, from the Faculty of Logistics at the University of Maribor, and Professor Veselin Draskovic, PdD, from the Maritime Faculty of...

Risk factors for prelacteal feeding in sub-Saharan Africa: a multilevel analysis of population data from twenty-two countries.

Science.gov (United States)

Berde, Anselm S; Ozcebe, Hilal

2017-08-01

To examine the risk factors of prelacteal feeding (PLF) among mothers in sub-Saharan Africa (SSA). We pooled data from Demographic and Health Surveys in twenty-two SSA countries. The key outcome variable was PLF. A multilevel logistic regression model was used to explore factors associated with PLF. Demographic and Health Surveys in twenty-two SSA countries. Mother-baby pairs (n 95348). Prevalence of PLF in SSA was 32·2 %. Plain water (22·1 %), milk other than breast milk (5·0 %) and sugar or glucose water (4·1 %) were the predominant prelacteal feeds. In the multivariable analysis, mothers who had caesarean section delivery had 2·25 times the odds of giving prelacteal feeds compared with mothers who had spontaneous vaginal delivery (adjusted OR=2·25; 95 % CI 2·06, 2·46). Other factors that were significantly associated with increased likelihood of PLF were mother's lower educational status, first birth rank, fourth or above birth rank with preceding birth interval less than or equal to 24 months, lower number of antenatal care visits, home delivery, multiple birth, male infant, as well as having an average or small sized baby at birth. Mothers aged 20-34 years were less likely to give prelacteal feeds compared with mothers aged ≤19 years. Belonging to the second, middle or fourth wealth quintile was associated with lower likelihood of PLF compared with the highest quintile. To achieve optimal breast-feeding, there is a need to discourage breast-feeding practices such as PLF. Breast-feeding promotion programmes should target the at-risk sub-population groups discovered in our study.

Improving Healthcare Logistics Processes

DEFF Research Database (Denmark)

Feibert, Diana Cordes

logistics processes in hospitals and aims to provide theoretically and empirically based evidence for improving these processes to both expand the knowledge base of healthcare logistics and provide a decision tool for hospital logistics managers to improve their processes. Case studies were conducted...... processes. Furthermore, a method for benchmarking healthcare logistics processes was developed. Finally, a theoretically and empirically founded framework was developed to support managers in making an informed decision on how to improve healthcare logistics processes. This study contributes to the limited...... literature concerned with the improvement of logistics processes in hospitals. Furthermore, the developed framework provides guidance for logistics managers in hospitals on how to improve their processes given the circumstances in which they operate....

Smart logistics

NARCIS (Netherlands)

Woensel, van T.

2012-01-01

This lecture focuses on Smart Logistics referring to these intelligent managerial decisions related to the design, operations and control of the transportation chain processes in an efficient and cost-effective way. The starting point for Smart Logistics is the key observation that the real-life

Sustainable Logistics: A Literature Review and Exploratory Study of Irish Based Manufacturing Organizations

Directory of Open Access Journals (Sweden)

P.J. Byrne

2013-07-01

Full Text Available There is growing evidence that the influence of environmental performance as a decision criteria in the consumption of products/ services for consumers is growing. It’s in the logistic operations where most organizations can implement green supply chain strategies. This paper presents a comprehensive literature review charting the evolution of logistics operations as it increasingly includes modern environmental concerns. Building on this the paper also presents the results of an exploratory face to face survey that was conducted to analyse attitudes to, knowledge of and preparedness among sellers but more extensively buyers of logistics services to implement sustainable logistics in Ireland. The paper shows that there is a varying degree of willingness among logistic buying organizations to implement practices to address the environmental impact of their activities. The results show that although the majority of these organizations are willing to some extent, this is not universal, with a significant proportion of organizations believing that there are hidden costs and risks associated with the implementation of sustainable logistics.

A multilevel shape fit analysis of neutron transmission data

International Nuclear Information System (INIS)

Naguib, K.; Sallam, O.H.; Adib, M.

1989-01-01

A multilevel shape fit analysis of neutron transmission data is presented. A multilevel computer code SHAPE is used to analyse clean transmission data obtained from time-of-flight (TOF) measurements. The shape analysis deduces the parameters of the observed resonances in the energy region considered in the measurements. The shape code is based upon a least square fit of a multilevel Breit-Wigner formula and includes both instrumental resolution and Doppler broadenings. Operating the SHAPE code on a test example of a measured transmission data of 151 Eu, 153 Eu and natural Eu in the energy range 0.025-1 eV acquired a good result for the used technique of analysis. (author)

A multilevel approach to the relationship between birth order and intelligence.

Science.gov (United States)

Wichman, Aaron L; Rodgers, Joseph Lee; MacCallum, Robert C

2006-01-01

Many studies show relationships between birth order and intelligence but use cross-sectional designs or manifest other threats to internal validity. Multilevel analyses with a control variable show that when these threats are removed, two major results emerge: (a) birth order has no significant influence on children's intelligence and (b) earlier reported birth order effects on intelligence are attributable to factors that vary between, not within, families. Analyses on 7- to 8 - and 13- to 14-year-old children from the National Longitudinal Survey of Youth support these conclusions. When hierarchical data structures, age variance of children, and within-family versus between-family variance sources are taken into account, previous research is seen in a new light.

The Logistics Management Decision Support System (LMDSS) : an effective tool to reduce life cycle support costs of aviation systems

OpenAIRE

Moore, Ellen E.; Snyder, Carolynn M.

1998-01-01

Approved for public release; distribution is unlimited This thesis assesses the capability of the Logistics Management Decision Support System (LMDSS) to meet the information needs of Naval Air Systems Command (NAVAIR) logistics managers based on surveys of logistics managers and interviews with LMDSS program representatives. The LMDSS is being introduced as a tool to facilitate action by NAVAIR logistics managers to reduce the life cycle support costs of aviation systems while protecting ...

Design and Implementation of 13 Levels Multilevel Inverter for Photovoltaic System

Science.gov (United States)

Subramani, C.; Dhineshkumar, K.; Palanivel, P.

2018-04-01

This paper approaches the appearing and modernization of S-Type PV based 13- level multilevel inverter with less quantity of switch. The current S-Type Multi level inverter contains more number of switches and voltage sources. Multilevel level inverter is a be understandable among the most gainful power converters for high power application and present day applications with reduced switches. The fundamental good arrangement of the 13-level multilevel inverter is to get ventured voltage from a couple of levels of DC voltages.. The controller gives actual way day and age to switches through driver circuit using PWM methodology. The execution assessment of proposed multilevel inverter is checked using MATLAB/Simulink. This is the outstanding among other techniquem appeared differently in relation to all other existing system

Multinomial logistic regression in workers' health

Science.gov (United States)

Grilo, Luís M.; Grilo, Helena L.; Gonçalves, Sónia P.; Junça, Ana

2017-11-01

In European countries, namely in Portugal, it is common to hear some people mentioning that they are exposed to excessive and continuous psychosocial stressors at work. This is increasing in diverse activity sectors, such as, the Services sector. A representative sample was collected from a Portuguese Services' organization, by applying a survey (internationally validated), which variables were measured in five ordered categories in Likert-type scale. A multinomial logistic regression model is used to estimate the probability of each category of the dependent variable general health perception where, among other independent variables, burnout appear as statistically significant.

Logistics outsourcing and performance of manufacturing small and medium-sized enterprises in Nairobi

Directory of Open Access Journals (Sweden)

Joash Mageto

2018-06-01

Full Text Available Background: Logistics outsourcing has been accepted as a strategy through which small and medium-sized enterprises (SMEs can access the logistics capabilities they lack internally at a lower cost. However, the actual effect of logistics outsourcing on firm performance, especially among the SMEs in Nairobi, remains unknown.   Aim: The study aimed to investigate the relationship between logistics outsourcing and firm performance of manufacturing SMEs in Nairobi.   Setting: The study sampled manufacturing SMEs in Nairobi City County.   Method: In this study, a convergent parallel mixed methods design was applied. Survey data were collected from 163 manufacturing SMEs. The data were analysed using structural equation modelling to test the relationship between logistics outsourcing and firm performance. Additionally, in-depth interviews were conducted in five manufacturing SMEs. Thematic analysis was used to analyse interview data to provide more insight in the quantitative data.   Results: The anticipated direct link between logistics outsourcing and performance of manufacturing SMEs was not statistically significant. However, the study revealed a statistically significant indirect positive effect of logistics outsourcing on the performance of manufacturing SMEs through logistics outsourcing performance as a mediator variable. This article further highlights reasons and the process of logistics outsourcing and deduces a logistics outsourcing model for manufacturing SMEs to help improve their firm’s performance.   Conclusion: The established relationship and deduced logistics outsourcing model is likely to guide SME managers as to how to manage logistics outsourcing to improve performance. The finding that logistics outsourcing has a positive indirect effect on the performance of manufacturing SMEs through logistics outsourcing performance makes a significant contribution to theory.

Does social policy moderate the impact of unemployment on health? A multilevel analysis of 23 welfare states.

Science.gov (United States)

Vahid Shahidi, Faraz; Siddiqi, Arjumand; Muntaner, Carles

2016-12-01

The magnitude of observable health inequalities between the unemployed and their employed counterparts differs considerably across countries. Few attempts have been made to test theoretical explanations for this cross-national variation. Moreover, existing studies suffer from important theoretical and methodological limitations. This study addresses these limitations and investigates whether differences in the generosity of social protection policies and in public attitudes towards those policies explain why unemployment-related health inequalities are steeper in some societies than in others. Multilevel logistic modelling was used to link contextual-level variables on social protection policies and public attitudes in 23 European countries to individual-level data on self-rated health from the 2012 wave of the European Social Survey. The magnitude of inequalities in self-rated health between the unemployed and their employed counterparts varies significantly across countries as a function of cross-national differences in the level of social protection awarded to the unemployed and the level of public support for the welfare state. The results provide empirical support for the claim that governments can play a more active role in mitigating unemployment-related health inequalities by expanding the generosity and scope of social protection policies. Whether such an expansion of social protection will take place in the current climate of fiscal austerity is a political question whose implications merit the attention of population health scholars. © The Author 2016. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Fast Multilevel Panel Method for Wind Turbine Rotor Flow Simulations

NARCIS (Netherlands)

van Garrel, Arne; Venner, Cornelis H.; Hoeijmakers, Hendrik Willem Marie

2017-01-01

A fast multilevel integral transform method has been developed that enables the rapid analysis of unsteady inviscid flows around wind turbines rotors. A low order panel method is used and the new multi-level multi-integration cluster (MLMIC) method reduces the computational complexity for

Stability of Boolean multilevel networks.

Science.gov (United States)

Cozzo, Emanuele; Arenas, Alex; Moreno, Yamir

2012-09-01

The study of the interplay between the structure and dynamics of complex multilevel systems is a pressing challenge nowadays. In this paper, we use a semiannealed approximation to study the stability properties of random Boolean networks in multiplex (multilayered) graphs. Our main finding is that the multilevel structure provides a mechanism for the stabilization of the dynamics of the whole system even when individual layers work on the chaotic regime, therefore identifying new ways of feedback between the structure and the dynamics of these systems. Our results point out the need for a conceptual transition from the physics of single-layered networks to the physics of multiplex networks. Finally, the fact that the coupling modifies the phase diagram and the critical conditions of the isolated layers suggests that interdependency can be used as a control mechanism.

Correlates of Intra-Household ITN Use in Liberia: A Multilevel Analysis of Household Survey Data.

Science.gov (United States)

Babalola, Stella; Ricotta, Emily; Awantang, Grace; Lewicky, Nan; Koenker, Hannah; Toso, Michael

2016-01-01

Malaria is a major cause of morbidity and mortality in Liberia. At the same time, insecticide-treated net (ITN) ownership and use remain low. Access is a key determinant of ITN use but it is not the only one; prior studies have identified factors that affect the use of ITNs in households with at least one ITN. These factors operate at the individual, household, and community levels. However, studies have generally not assessed the psychosocial or ideational determinants of ITN use. Using 2014 household survey data, this manuscript examines the socio-demographic, ideational, household, and community factors associated with household member use of ITNs in Liberia. Multilevel modeling was used to assess fixed effects at the individual, household, and community levels, and random effects at the household and cluster levels. The data showed significant residual clustering at the household level, indicating that there were unmeasured factors operating at this level that are associated with ITN use. The association of age with ITN use was moderated by sex such that men, older children, and teenagers were less likely to sleep under an ITN compared to women and children under five years old. Female caregivers' perceived severity of malaria, perceived self-efficacy to detect a complicated case of malaria, and exposure to the "Take Cover" communication campaign were positively associated with ITN use by members of her household. The association with household size was negative, while the relationship with the number of ITNs was positive. Programs should seek to achieve universal coverage (that is, one ITN for every two household members) and promote the notion that everyone needs to sleep under an ITN every night. Programs should also seek to strengthen perceived severity of malaria and educate intended audience groups on the signs of malaria complications. Given the significance of residual clustering at the household level, interventions that engage men as heads of

Computational Logistics

DEFF Research Database (Denmark)

Pacino, Dario; Voss, Stefan; Jensen, Rune Møller

2013-01-01

This book constitutes the refereed proceedings of the 4th International Conference on Computational Logistics, ICCL 2013, held in Copenhagen, Denmark, in September 2013. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in to...... in topical sections named: maritime shipping, road transport, vehicle routing problems, aviation applications, and logistics and supply chain management.......This book constitutes the refereed proceedings of the 4th International Conference on Computational Logistics, ICCL 2013, held in Copenhagen, Denmark, in September 2013. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized...

Computational Logistics

DEFF Research Database (Denmark)

This book constitutes the refereed proceedings of the 4th International Conference on Computational Logistics, ICCL 2013, held in Copenhagen, Denmark, in September 2013. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in to...... in topical sections named: maritime shipping, road transport, vehicle routing problems, aviation applications, and logistics and supply chain management.......This book constitutes the refereed proceedings of the 4th International Conference on Computational Logistics, ICCL 2013, held in Copenhagen, Denmark, in September 2013. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized...

FBILI method for multi-level line transfer

Science.gov (United States)

Kuzmanovska, O.; Atanacković, O.; Faurobert, M.

2017-07-01

Efficient non-LTE multilevel radiative transfer calculations are needed for a proper interpretation of astrophysical spectra. In particular, realistic simulations of time-dependent processes or multi-dimensional phenomena require that the iterative method used to solve such non-linear and non-local problem is as fast as possible. There are several multilevel codes based on efficient iterative schemes that provide a very high convergence rate, especially when combined with mathematical acceleration techniques. The Forth-and-Back Implicit Lambda Iteration (FBILI) developed by Atanacković-Vukmanović et al. [1] is a Gauss-Seidel-type iterative scheme that is characterized by a very high convergence rate without the need of complementing it with additional acceleration techniques. In this paper we make the implementation of the FBILI method to the multilevel atom line transfer in 1D more explicit. We also consider some of its variants and investigate their convergence properties by solving the benchmark problem of CaII line formation in the solar atmosphere. Finally, we compare our solutions with results obtained with the well known code MULTI.

Identifying Multilevel Barriers to Tobacco Intervention in Postdoctoral Dental Education.

Science.gov (United States)

Albert, David A; Bruzelius, Emilie; Ward, Angela; Gordon, Judith S

2016-04-01

The aims of this mixed-methods study were to assess tobacco treatment behaviors among residents and faculty in dental specialty postdoctoral programs and to explore factors in training and practice related to tobacco treatment education. Surveys and focus groups were conducted with a convenience sample of participants at three postdoctoral residency programs in New York City. Surveys assessed tobacco cessation training and behaviors. Focus groups explored barriers to implementing tobacco cessation treatment in educational settings. Data were collected between May and December 2013. Among the 160 faculty and residents identified as potentially eligible for the study, 60 were invited by program directors to participate, and 50 subsequently completed the survey and participated in a focus group (response rate of 31.3%). Survey results indicated high levels of asking patients about tobacco use and advising patients to quit. In contrast, specific tobacco cessation assistance and follow-up care occurred less frequently. There were statistically significant differences in tobacco cessation intervention across the specialties surveyed, but not between residents and faculty. Focus group comments were grouped into three broad areas: clinician factors, organizational support, and structural and contextual factors. Focus group results indicated that participants experienced significant organizational and structural barriers to learning about and providing tobacco treatment. Participants from each specialty indicated that multi-level barriers impeded their provision of evidence-based tobacco cessation interventions in postdoctoral educational settings. They suggested that didactic education should be reinforced by organizational- and systems-level changes to facilitate comprehensive tobacco education and effective cessation treatment in future dental practice.

Multi-Level Wavelet Shannon Entropy-Based Method for Single-Sensor Fault Location

Directory of Open Access Journals (Sweden)

Qiaoning Yang

2015-10-01

Full Text Available In actual application, sensors are prone to failure because of harsh environments, battery drain, and sensor aging. Sensor fault location is an important step for follow-up sensor fault detection. In this paper, two new multi-level wavelet Shannon entropies (multi-level wavelet time Shannon entropy and multi-level wavelet time-energy Shannon entropy are defined. They take full advantage of sensor fault frequency distribution and energy distribution across multi-subband in wavelet domain. Based on the multi-level wavelet Shannon entropy, a method is proposed for single sensor fault location. The method firstly uses a criterion of maximum energy-to-Shannon entropy ratio to select the appropriate wavelet base for signal analysis. Then multi-level wavelet time Shannon entropy and multi-level wavelet time-energy Shannon entropy are used to locate the fault. The method is validated using practical chemical gas concentration data from a gas sensor array. Compared with wavelet time Shannon entropy and wavelet energy Shannon entropy, the experimental results demonstrate that the proposed method can achieve accurate location of a single sensor fault and has good anti-noise ability. The proposed method is feasible and effective for single-sensor fault location.

A regional multilevel analysis: can skilled birth attendants uniformly decrease neonatal mortality?

Science.gov (United States)

Singh, Kavita; Brodish, Paul; Suchindran, Chirayath

2014-01-01

Globally 40 % of deaths to children under-five occur in the very first month of life with three-quarters of these deaths occurring during the first week of life. The promotion of delivery with a skilled birth attendant (SBA) is being promoted as a strategy to reduce neonatal mortality. This study explored whether SBAs had a protective effect against neonatal mortality in three different regions of the world. The analysis pooled data from nine diverse countries for which recent Demographic and Health Survey data were available. Multilevel logistic regression was used to understand the influence of skilled delivery on two outcomes-neonatal mortality during the first week of life and during the first day of life. Control variables included age, parity, education, wealth, residence (urban/rural), geographic region (Africa, Asia and Latin America/Caribbean), antenatal care and tetanus immunization. The direction of the effect of skilled delivery on neonatal mortality was dependent on geographic region. While having a SBA at delivery was protective against neonatal mortality in Latin America/Caribbean, in Asia there was only a protective effect for births in the first week of life. In Africa SBAs were associated with higher neonatal mortality for both outcomes, and the same was true for deaths on the first day of life in Asia. Many women in Africa and Asia deliver at home unless a complication occurs, and thus skilled birth attendants may be seeing more women with complications than their unskilled counterparts. In addition there are issues with the definition of a SBA with many attendants in both Africa and Asia not actually having the needed training and equipment to prevent neonatal mortality. Considerable investment is needed in terms of training and health infrastructure to enable these providers to save the youngest lives.

Risk of maternal mortality in women with severe anaemia during pregnancy and post partum: a multilevel analysis.

Science.gov (United States)

Daru, Jahnavi; Zamora, Javier; Fernández-Félix, Borja M; Vogel, Joshua; Oladapo, Olufemi T; Morisaki, Naho; Tunçalp, Özge; Torloni, Maria Regina; Mittal, Suneeta; Jayaratne, Kapila; Lumbiganon, Pisake; Togoobaatar, Ganchimeg; Thangaratinam, Shakila; Khan, Khalid S

2018-05-01

Anaemia affects as many as half of all pregnant women in low-income and middle-income countries, but the burden of disease and associated maternal mortality are not robustly quantified. We aimed to assess the association between severe anaemia and maternal death with data from the WHO Multicountry Survey on maternal and newborn health. We used multilevel and propensity score regression analyses to establish the relation between severe anaemia and maternal death in 359 health facilities in 29 countries across Latin America, Africa, the Western Pacific, eastern Mediterranean, and southeast Asia. Severe anaemia was defined as antenatal or postnatal haemoglobin concentrations of less than 70 g/L in a blood sample obtained before death. Maternal death was defined as death any time after admission until the seventh day post partum or discharge. In regression analyses, we adjusted for post-partum haemorrhage, general anaesthesia, admission to intensive care, sepsis, pre-eclampsia or eclampsia, thrombocytopenia, shock, massive transfusion, severe oliguria, failure to form clots, and severe acidosis as confounding variables. These variables were used to develop the propensity score. 312 281 women admitted in labour or with ectopic pregnancies were included in the adjusted multilevel logistic analysis, and 12 470 were included in the propensity score regression analysis. The adjusted odds ratio for maternal death in women with severe anaemia compared with those without severe anaemia was 2·36 (95% CI 1·60-3·48). In the propensity score analysis, severe anaemia was also associated with maternal death (adjusted odds ratio 1·86 [95% CI 1·39-2·49]). Prevention and treatment of anaemia during pregnancy and post partum should remain a global public health and research priority. Barts and the London Charity. Copyright This is an Open Access article published under the CC BY 3.0 IGO license which permits unrestricted use, distribution, and reproduction in any medium

The importance of technological innovation in the logistics of ethanol exports

Directory of Open Access Journals (Sweden)

José Petraglia

2011-07-01

Full Text Available This paper analyzes the technological status of the bulk liquids logistical process at the port of Santos. The main objective is to identify problems encountered in port logistics for the export of ethanol and evaluate their respective technological innovation perspectives. Ethanol exports have increased given international environmental appeals. Within the complex and uncertain environments that contemporary corporations are experiencing, environmental issues have captured global attention. There is an awareness as to the relevance of reducing pollutant emissions to the atmosphere and one of the manners of so doing is by utilising ethanol as a source of propulsion energy fuelling automobile engines. Brazil is one of largest, high quality, ethanol producers in the world and a strong competitor to serve the global market given that the quality of the port logistic infrastructure poses significant impact on exports. Thus, this article proposes to further deepen the theory fundamentals alongside research conducted at companies of South-central Brazil´s sugar alcohol supply chain sector. The study´s analytical model is based on bibliographical research, monitoring and descriptive field surveys at companies within the segment. The article demonstrates that although the logistical process is evolving technologically, further investments in logistic infrastructure is required so as to obtain a sustainable competitive advantage and ensure the feasibility of exports of the Brazilian product.Key words: logistic process, technological innovation and ethanol.

Multi-level decision making models, methods and applications

CERN Document Server

Zhang, Guangquan; Gao, Ya

2015-01-01

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.  

Logistics costs of the enterprise

Directory of Open Access Journals (Sweden)

Andrea Rosová

2007-06-01

Full Text Available The article describe a problem of specification and systematization of enterprise’s logistics costs. With in a growing division of labour, also logistics costs increase their part in enterprises total costs.Almost all decisions about products and production in general, influence logistics processes even logistics costs and performances.In present is not clear enough, which of the cost-particles are relevant fot logistics costs, because some of logistics cost-particles accounts within overhead are charged together with costs of other sorts.Substantive step in the process of the monitoring and evidence of logistics costs is definition of this, that costs of enterprise´s processes will be inclusive in logistics costs and determining points of contact with the others departments (acquisition, production, sale etc.. After the specification of meditation processes, there is a need to choose applicable parameters for the expression of logistics performances. Besides logistics costs is needed to know logistics performances equivalent herewith at a cost of, therefore from the control side have for enterprise bigger value indices expressive correlation costs and performances(e.g. share of logistics unit costs performance.At the proposal and evidence of logistics costs and performances is needed consistently entertain an individual conditions of enterprise. Because the area of processes included strongly affects the size of account logistics costs and its share part in total costs of enterprise. Logistics costs are flow line between economy and logistics of the enterprise.

Thermo-mechanical analysis for multi-level HLW repository concept

International Nuclear Information System (INIS)

Kwon, Sang Ki; Choi, Jong Won

2004-01-01

This work aims to investigate the influence of design parameters for the underground high-level nuclear waste repository with multi-level concept. B. Necessity o In order to construct an HLW repository in deep underground, it is required to select a site, which is far from major discontinuities. To dispose the whole spent fuels generated from the Korean nuclear power plants in a repository, the underground area of about 4km 2 is required. This would be a constraints for selecting an adequate repository site. It is recommended to dispose the two different spent fuels, PWR and CANDU, in different areas at the operation efficiency point of view. It is necessary to investigate the influence of parameters, which can affect the stability of multi-level repository. It is also needed to consider the influence of heat generated from the HLW and the high in situ stress in deep location. Therefore, thermo-mechanical coupling analysis should be carried out and the results should be compared with the results from single-level repository concept. Three-dimensional analysis is required to model the disposal tunnel and deposition hole. It is recommended to use the Korean geological condition and actually measured rock properties in Korea in order to achieve reliable modeling results. A FISH routine developed for effective modeling of Thermal-Mechanical coupling was implemented in the modeling using FLAC3D, which is a commercial three-dimensional FDM code. The thermal and mechanical properties of rock and rock mass achieved from Yusung drilling site, were used for the computer modeling. Different parameters such as level distance, waste type disposed on different levels, and time interval between the operation on different levels, were considered in the three-dimensional analysis. From the analysis, it was possible to derive adequate multi-level repository concept. Results and recommendations for application From the thermal-mechanical analysis for the multi-level repository

Multi-level Bayesian analyses for single- and multi-vehicle freeway crashes.

Science.gov (United States)

Yu, Rongjie; Abdel-Aty, Mohamed

2013-09-01

This study presents multi-level analyses for single- and multi-vehicle crashes on a mountainous freeway. Data from a 15-mile mountainous freeway section on I-70 were investigated. Both aggregate and disaggregate models for the two crash conditions were developed. Five years of crash data were used in the aggregate investigation, while the disaggregate models utilized one year of crash data along with real-time traffic and weather data. For the aggregate analyses, safety performance functions were developed for the purpose of revealing the contributing factors for each crash type. Two methodologies, a Bayesian bivariate Poisson-lognormal model and a Bayesian hierarchical Poisson model with correlated random effects, were estimated to simultaneously analyze the two crash conditions with consideration of possible correlations. Except for the factors related to geometric characteristics, two exposure parameters (annual average daily traffic and segment length) were included. Two different sets of significant explanatory and exposure variables were identified for the single-vehicle (SV) and multi-vehicle (MV) crashes. It was found that the Bayesian bivariate Poisson-lognormal model is superior to the Bayesian hierarchical Poisson model, the former with a substantially lower DIC and more significant variables. In addition to the aggregate analyses, microscopic real-time crash risk evaluation models were developed for the two crash conditions. Multi-level Bayesian logistic regression models were estimated with the random parameters accounting for seasonal variations, crash-unit-level diversity and segment-level random effects capturing unobserved heterogeneity caused by the geometric characteristics. The model results indicate that the effects of the selected variables on crash occurrence vary across seasons and crash units; and that geometric characteristic variables contribute to the segment variations: the more unobserved heterogeneity have been accounted, the better

KSC ISS Logistics Support

Science.gov (United States)

Tellado, Joseph

2014-01-01

The presentation contains a status of KSC ISS Logistics Operations. It basically presents current top level ISS Logistics tasks being conducted at KSC, current International Partner activities, hardware processing flow focussing on late Stow operations, list of KSC Logistics POC's, and a backup list of Logistics launch site services. This presentation is being given at the annual International Space Station (ISS) Multi-lateral Logistics Maintenance Control Panel meeting to be held in Turin, Italy during the week of May 13-16. The presentatiuon content doesn't contain any potential lessons learned.

Handbook of multilevel analysis

National Research Council Canada - National Science Library

Leeuw, Jan de; Meijer, Erik

2008-01-01

... appropriate and efficient model-based methods have become available to deal with this issue, that we have come to appreciate the power that more complex models provide for describing the world and providing new insights. This book sets out to present some of the most recent developments in what has come to be known as multilevel modelling. An...

Three-phase multilevel inverter configuration for open-winding high power application

DEFF Research Database (Denmark)

Sanjeevikumar, Padmanaban; Blaabjerg, Frede; Wheeler, Patrick William

2015-01-01

This paper work exploits a new dual open-winding three-phase multilevel inverter configuration suitable for high power medium-voltage applications. Modular structure comprised of standard three-phase voltage source inverter (VSI) along with one additional bi-directional semiconductor device (MOSFET...... for implementation purpose. Proposed dual-inverter configuration generates multilevel outputs with benefit includes reduced THD and dv/dt in comparison to other dual-inverter topologies. Complete model of the multilevel ac drive is developed with simple MSCFM modulation in Matlab/PLECs numerical software...

Multiple Logistic Regression Analysis of Cigarette Use among High School Students

Science.gov (United States)

Adwere-Boamah, Joseph

2011-01-01

A binary logistic regression analysis was performed to predict high school students' cigarette smoking behavior from selected predictors from 2009 CDC Youth Risk Behavior Surveillance Survey. The specific target student behavior of interest was frequent cigarette use. Five predictor variables included in the model were: a) race, b) frequency of…

WAREOOUSE LOGISTICS MANAGEMENT

OpenAIRE

Drago Pupavac

2012-01-01

Warehouse Logistics Management involves the management of storage facilities and equipment, stock, employees and technology with the aim of efficient storage, accommodation, and distribution of goods and more importantly profitably. In conditions of economic crisis and lower inventory turns, logistics managers put emphasis on those measures as a function of storage logistics cost reductions that require minimal investment. Accordingly, the fundamental objective of this scientific paper is to ...

Variable-speed wind power system with improved energy capture via multilevel conversion

Science.gov (United States)

Erickson, Robert W.; Al-Naseem, Osama A.; Fingersh, Lee Jay

2005-05-31

A system and method for efficiently capturing electrical energy from a variable-speed generator are disclosed. The system includes a matrix converter using full-bridge, multilevel switch cells, in which semiconductor devices are clamped to a known constant DC voltage of a capacitor. The multilevel matrix converter is capable of generating multilevel voltage wave waveform of arbitrary magnitude and frequencies. The matrix converter can be controlled by using space vector modulation.

The application of supply chain management principles to emergency management logistics: An empirical study.

Science.gov (United States)

Peterson, Matthew R; Young, Richard R; Gordon, Gary A

2016-01-01

Key elements of supply chain theory remain relevant to emergency management (EM) logistics activities. The Supply Chain Operations Reference model can also serve as a useful template for the planning, organizing, and execution of EM logistics. Through a series of case studies (developed through intensive survey of organizations and individuals responsible for EM), the authors identified the extent supply chain theory is being adopted and whether the theory was useful for emergency logistics managers. The authors found several drivers that influence the likelihood of an organization to implement elements of supply chain management: the frequency of events, organizational resources, population density, range of events, and severity of the disaster or emergency.

Environmental radiation level, radiation anxiety, and psychological distress of non-evacuee residents in Fukushima five years after the Great East Japan Earthquake: Multilevel analyses

Directory of Open Access Journals (Sweden)

Maiko Fukasawa

2017-12-01

Full Text Available The present study aimed to clarify the associations among radiation exposure or psychological exposure to the Fukushima nuclear power plant accident (i.e., fear/anxiety immediately after the accident, current radiation anxiety, and psychological distress among non-evacuee community residents in Fukushima five years after the Great East Japan Earthquake, which occurred in March 2011. A questionnaire survey was administered to a random sample of non-evacuee community residents from 49 municipalities of Fukushima prefecture from February to April 2016, and data from 1684 respondents (34.4% were analyzed. Environmental radiation levels at the time of the accident were ascertained from survey meter data, while environmental radiation levels at the time of the survey were ascertained from monitoring post data. In the questionnaire, immediate fear/anxiety after the accident, current radiation anxiety, and psychological distress were measured using a single-item question, a 7-item scale, and K6, respectively. Multilevel linear or logistic regression models were applied to analyze the determinants of radiation anxiety and psychological distress. The findings showed that environmental radiation levels at the time of the survey were more strongly associated with radiation anxiety than radiation levels immediately after the accident. Disaster-related experiences, such as direct damage, disaster-related family stress, and fear/anxiety after the accident, and demographic characteristics (e.g., younger age, being married, low socioeconomic status were significantly associated with radiation anxiety. Environmental radiation levels at the time of the accident or survey were not significantly associated with psychological distress. Radiation anxiety largely mediated the association between fear/anxiety after the accident and psychological distress. In addition to environmental radiation levels, respondents’ radiation anxiety was affected by multiple factors

A Multilevel Secure Workflow Management System

National Research Council Canada - National Science Library

Kang, Myong H; Froscher, Judith N; Sheth, Amit P; Kochut, Krys J; Miller, John A

1999-01-01

The Department of Defense (DoD) needs multilevel secure (MLS) workflow management systems to enable globally distributed users and applications to cooperate across classification levels to achieve mission critical goals...

How few countries will do? Comparative survey analysis from a Bayesian perspective

Directory of Open Access Journals (Sweden)

Joop J.C.M. Hox

2012-07-01

Full Text Available Meuleman and Billiet (2009 have carried out a simulation study aimed at the question how many countries are needed for accurate multilevel SEM estimation in comparative studies. The authors concluded that a sample of 50 to 100 countries is needed for accurate estimation. Recently, Bayesian estimation methods have been introduced in structural equation modeling which should work well with much lower sample sizes. The current study reanalyzes the simulation of Meuleman and Billiet using Bayesian estimation to find the lowest number of countries needed when conducting multilevel SEM. The main result of our simulations is that a sample of about 20 countries is sufficient for accurate Bayesian estimation, which makes multilevel SEM practicable for the number of countries commonly available in large scale comparative surveys.

The Relevance of Shopper Logistics for Consumers of Store-Based Retail Formats

DEFF Research Database (Denmark)

Teller, Christoph; Kotzab, Herbert; Grant, David B.

2012-01-01

influence consumers' perceptions of shopping related costs. Nevertheless, shopper logistics does not affect consumer behaviour in terms of the share of visits of a store. These results are moderated by age, hedonic shopping orientation, shopping frequency, average spending per trip and store format......This paper discusses and empirically evaluates the relevance of shopping-related logistics for consumers of store-based retail formats. Based on a literature review a conceptual model was developed and subsequently tested using a survey of more than six hundred consumers in the grocery retail...... sector. Respondents were those primarily responsible for grocery shopping in their households located in a highly concentrated European urban retail market. Variance based structural equation modelling reveals that shopper logistics has a major impact on the convenience of store-based shopping and partly...

Multilevel analysis of school anti-smoking education and current cigarette use among South African students.

Science.gov (United States)

Talley, Brandon; Masyn, Katherine; Chandora, Rachna; Vivolo-Kantor, Alana

2017-01-01

South Africa (SA) implemented the Global Youth Tobacco Survey (GYTS) four times between 1999 and 2011. Data from the four surveys indicated that downward trends in cigarette use among students may have stalled. Understanding the effect of school anti-smoking education on current smoking among students within schools and variability across schools may provide important insights into policies aimed at preventing or reducing tobacco use among students. The objective was to assess the student- and school-level effects of students' exposure to school anti-smoking education on current cigarette use among the study population using the most recent wave of GYTS data in SA (2011). An analytic sample of students 13-15 years of age was selected (n=3,068) from the SA GYTS 2011. A taxonomy of two-level logistic regression models was fit to assess the relationship of various tobacco use, control, and exposure predictor variables on current cigarette smoking among the study population. At the student-level in the full model, secondhand smoke (SHS) exposure, peer smoking, and ownership of a promotional item were significantly associated with higher risk of current smoking. At the school-level in the full model, average exposure to peer smoking was associated with significant increases in the prevalence of current cigarette use, while average family anti-smoking education was significantly associated with decreases in the outcome variable. School anti-smoking education was not a statistically significant predictor at the student- or school-levels. in this study, exposure to school anti-smoking education had no association with current cigarette smoking among the study population. Consistent with previous studies, having peers that smoked was highly associated with a student being a current smoker. Interestingly, at the school-level in the multilevel analysis, schools with higher rates of average family anti-smoking education had lower prevalence of current smoking. This finding has

Workplace Social Capital and Mental Health among Chinese Employees: A Multi-Level, Cross-Sectional Study

Science.gov (United States)

Gao, Junling; Weaver, Scott R.; Dai, Junming; Jia, Yingnan; Liu, Xingdi; Jin, Kezhi; Fu, Hua

2014-01-01

Background Whereas the majority of previous research on social capital and health has been on residential neighborhoods and communities, the evidence remains sparse on workplace social capital. To address this gap in the literature, we examined the association between workplace social capital and health status among Chinese employees in a large, multi-level, cross-sectional study. Methods By employing a two-stage stratified random sampling procedure, 2,796 employees were identified from 35 workplaces in Shanghai during March to November 2012. Workplace social capital was assessed using a validated and psychometrically tested eight-item measure, and the Chinese language version of the WHO-Five Well-Being Index (WHO-5) was used to assess mental health. Control variables included sex, age, marital status, education level, occupation status, smoking status, physical activity, and job stress. Multilevel logistic regression analysis was conducted to explore whether individual- and workplace-level social capital was associated with mental health status. Results In total, 34.9% of workers reported poor mental health (WHO-5workplace-level social capital were 0.95 (95% CI: 0.61–1.49), 1.14 (95% CI: 0.72–1.81) and 1.63 (95% CI: 1.05–2.53) for the third, second, and lowest quartiles, respectively. Conclusions Higher workplace social capital is associated with lower odds of poor mental health among Chinese employees. Promoting social capital at the workplace may contribute to enhancing employees’ mental health in China. PMID:24404199

LOGISTICS - EVOLUTION THROUGH INNOVATION

Directory of Open Access Journals (Sweden)

Petrache Alexandru Constantin

2015-07-01

Full Text Available The current economic conditions, the rapidity with which the exchange of information, resources and products in the market takes place makes the logistics seem appreciably less significant. However, the importance of logistics has been presented in the military field, through strategies that have led to wining of the great wars that mankind has seen, through the supply of troops with food or moving military equipment. The literature in the field of logistics has numerous works on this topic. But while most focuses on efficient ways of carrying out the component activities of logistics or the strategies of organizations with regard to logistics or its functions, research on dynamics of logistics is underdeveloped. To be able to propose new methods or strategies of logistic activities is necessary to understand the development of this concept, determinant factors and economic and social conditions that gave rise to such developments. Thus, after a presentation of the main landmarks of the historical development of logistics we highlight the importance of the innovation within an organization's value chain innovation, in particular, and how to conduct the business in general. Using generations of innovation identified in the literature, we determine the generation of logistics development, taking into account innovation and how to conduct business. In addition for a better highlight of the own vision over the logistics generations identified, we will present the graphical concept for each generation in part. Last but not least, for each generation identified we try to allocate the chronological landmarks featured in order to reinforce the importance played by innovation in the development of the logistics industry and to give future directions of research within this topic. The study took into account the information presented in articles, books and websites of the relevant specialty in logistics and innovation to be able to build and expose a

The Analysis of the Use of Outsourcing Services in Logistics by Czech Manufacturing Companies

Directory of Open Access Journals (Sweden)

Hrusecka Denisa

2015-09-01

Full Text Available This research analyses logistics outsourcing services from the viewpoint of client companies (manufacturing companies. The main goal is to show how intensively various logistics outsourcing services are used by Czech manufacturing companies in comparison with other world regions, and which areas of logistics outsourcing should be considered more seriously in order to increase logistic efficiency. The study is based on a quantitative and qualitative investigation of Czech manufacturing companies. Firstly, the brief overview of the present situation in the Czech market is presented. It is based on survey data. The results of this quantitative study are compared with global research activities, especially with the 2013 Third-Party Logistics Study carried out by Capgemini Consulting Company. Next, results of the qualitative investigation are discussed. This part describes the experience of four selected Czech manufacturing companies with logistics outsourcing, the main problems they face in this area and their future plans and expectations. The present study is part of a more complex research currently being carried out by the authors.

Analysis of Harmonic Injection to the Modulation of Multi-Level ...

African Journals Online (AJOL)

This paper explores the analysis of third and ninth harmonic injection to the modulation of a multilevel diode clamped converter (DCC) at a varying modulation index. The spectral distributions of the various multi-level waveforms obtained under normal modulation index of 0.8 and over modulation index of 1.15 were ...

Minimum Wage and Overweight and Obesity in Adult Women: A Multilevel Analysis of Low and Middle Income Countries.

Science.gov (United States)

Conklin, Annalijn I; Ponce, Ninez A; Frank, John; Nandi, Arijit; Heymann, Jody

2016-01-01

To describe the relationship between minimum wage and overweight and obesity across countries at different levels of development. A cross-sectional analysis of 27 countries with data on the legislated minimum wage level linked to socio-demographic and anthropometry data of non-pregnant 190,892 adult women (24-49 y) from the Demographic and Health Survey. We used multilevel logistic regression models to condition on country- and individual-level potential confounders, and post-estimation of average marginal effects to calculate the adjusted prevalence difference. We found the association between minimum wage and overweight/obesity was independent of individual-level SES and confounders, and showed a reversed pattern by country development stage. The adjusted overweight/obesity prevalence difference in low-income countries was an average increase of about 0.1 percentage points (PD 0.075 [0.065, 0.084]), and an average decrease of 0.01 percentage points in middle-income countries (PD -0.014 [-0.019, -0.009]). The adjusted obesity prevalence difference in low-income countries was an average increase of 0.03 percentage points (PD 0.032 [0.021, 0.042]) and an average decrease of 0.03 percentage points in middle-income countries (PD -0.032 [-0.036, -0.027]). This is among the first studies to examine the potential impact of improved wages on an important precursor of non-communicable diseases globally. Among countries with a modest level of economic development, higher minimum wage was associated with lower levels of obesity.

Political regimes, political ideology, and self-rated health in Europe: a multilevel analysis.

Science.gov (United States)

Huijts, Tim; Perkins, Jessica M; Subramanian, S V

2010-07-22

Studies on political ideology and health have found associations between individual ideology and health as well as between ecological measures of political ideology and health. Individual ideology and aggregate measures such as political regimes, however, were never examined simultaneously. Using adjusted logistic multilevel models to analyze data on individuals from 29 European countries and Israel, we found that individual ideology and political regime are independently associated with self-rated health. Individuals with rightwing ideologies report better health than leftwing individuals. Respondents from Eastern Europe and former Soviet republics report poorer health than individuals from social democratic, liberal, Christian conservative, and former Mediterranean dictatorship countries. In contrast to individual ideology and political regimes, country level aggregations of individual ideology are not related to reporting poor health. This study shows that although both individual political ideology and contextual political regime are independently associated with individuals' self-rated health, individual political ideology appears to be more strongly associated with self-rated health than political regime.

Perceptions of neighborhood safety and asthma among children and adolescents in Los Angeles: a multilevel analysis.

Directory of Open Access Journals (Sweden)

Marlene Camacho-Rivera

Full Text Available Research examining the impact of neighborhoods on asthma has shown an increased interest in the role of the psychosocial environment. We examined the associations between various measures of neighborhood safety, individual and family characteristics, and asthma outcomes among children in Los Angeles.Multilevel logistic regression models were used to analyze data on 3,114 children across 65 neighborhoods from Wave 1 of the Los Angeles Family and Neighborhood Survey (2000 to 2002. Primary caregivers reported asthma outcome and all individual covariates; home environmental characteristics were observed by the interviewer.In fully adjusted models, parents who reported their neighborhood fairly safe or somewhat dangerous had lower odds of reported lifetime asthma compared to those who reported their neighborhood completely safe (OR 0.71; 95% CI 0.52-0.96 and OR 0.60; 95% CI 0.42-0.88 respectively. Conversely, parents who reported they could not trust their neighbors to keep their children safe had a nearly 40% increase in lifetime asthma compared to those who reported they could trust their neighbors to keep their children safe (OR 1.39; 95% CI 1.07-1.81.The study demonstrates a complex pattern between various measures of neighborhood safety and asthma and suggests that these relationships may operate differently in Los Angeles. As an increasing proportion of children are growing up in newer Western and Southwestern cities, which have different physical layouts and residential segregation patterns compared to Northeast and Midwestern cities, future studies should continue to examine neighborhood psychosocial stressors and asthma in diverse contexts.

Ethnic Disparities in Contraceptive Use and Its Impact on Family Planning Program in Nepal

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Mukesh Mishra

2010-09-01

Full Text Available Objective: Regardless of three decades of implementation of family planning program in Nepal, need offamily planning services is largely unmet. Systematic studies, evaluating the impact of family program onseveral ethnic groups of Nepal has not been carried out in large scale. This study sheds light on theinvestigation of, whether the use of contraceptives varies among different ethnic groups in Nepal andwhat are the predictors of contraceptive variance in ethnic groups in Nepal.Materials and methods: The study is based on data collected from Nepal Demographic Health Survey(NDHS 2006. Multilevel logistic regression analyses of 10793 married women of reproductive agenested within 264 clusters from the surveys were considered as the sample size. Individual, household,and program variables were set and a multilevel logistic regression model was fitted to analyze thevariables, using GLLAMM command in STATA-9.Results: Multilevel logistic regression analysis indicated that Muslims, Dalits and Terai madheshi womenwere significantly less likely to use modern contraceptives compared to the Brahmins and Chhetries(Higher Castes. Women who were exposed to family planning information in radio were more likely touse modern contraceptives than women not exposed to radio information (OR=1.22, P> 0.01. An odd ofusing contraceptives by Newar was (OR 1.09, P>0.05, the highest among all ethnic groups. Exposure ofwomen to family planning messages through health facilities, family planning workers, and means ofcommunication, increased the odds of using modern contraceptives. However, impact of the familyplanning information on contraceptive use varied among ethnicity.Conclusion: Special attention need to be paid, in particular to the ethnicity, while formulating familyplanning policies in Nepal, for better success rate of family planning intervention programs.

Analyzing chromatographic data using multilevel modeling.

Science.gov (United States)

Wiczling, Paweł

2018-06-01

It is relatively easy to collect chromatographic measurements for a large number of analytes, especially with gradient chromatographic methods coupled with mass spectrometry detection. Such data often have a hierarchical or clustered structure. For example, analytes with similar hydrophobicity and dissociation constant tend to be more alike in their retention than a randomly chosen set of analytes. Multilevel models recognize the existence of such data structures by assigning a model for each parameter, with its parameters also estimated from data. In this work, a multilevel model is proposed to describe retention time data obtained from a series of wide linear organic modifier gradients of different gradient duration and different mobile phase pH for a large set of acids and bases. The multilevel model consists of (1) the same deterministic equation describing the relationship between retention time and analyte-specific and instrument-specific parameters, (2) covariance relationships relating various physicochemical properties of the analyte to chromatographically specific parameters through quantitative structure-retention relationship based equations, and (3) stochastic components of intra-analyte and interanalyte variability. The model was implemented in Stan, which provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods. Graphical abstract Relationships between log k and MeOH content for acidic, basic, and neutral compounds with different log P. CI credible interval, PSA polar surface area.

Logistics Innovation Process Revisited

DEFF Research Database (Denmark)

Gammelgaard, Britta; Su, Shong-Iee Ivan; Yang, Su-Lan

2011-01-01

Purpose – The purpose of this paper is to learn more about logistics innovation processes and their implications for the focal organization as well as the supply chain, especially suppliers. Design/methodology/approach – The empirical basis of the study is a longitudinal action research project...... that was triggered by the practical needs of new ways of handling material flows of a hospital. This approach made it possible to revisit theory on logistics innovation process. Findings – Apart from the tangible benefits reported to the case hospital, five findings can be extracted from this study: the logistics...... innovation process model may include not just customers but also suppliers; logistics innovation in buyer-supplier relations may serve as an alternative to outsourcing; logistics innovation processes are dynamic and may improve supplier partnerships; logistics innovations in the supply chain are as dependent...

Application of Multilevel Models to Morphometric Data. Part 2. Correlations

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O. Tsybrovskyy

2003-01-01

Full Text Available Multilevel organization of morphometric data (cells are “nested” within patients requires special methods for studying correlations between karyometric features. The most distinct feature of these methods is that separate correlation (covariance matrices are produced for every level in the hierarchy. In karyometric research, the cell‐level (i.e., within‐tumor correlations seem to be of major interest. Beside their biological importance, these correlation coefficients (CC are compulsory when dimensionality reduction is required. Using MLwiN, a dedicated program for multilevel modeling, we show how to use multivariate multilevel models (MMM to obtain and interpret CC in each of the levels. A comparison with two usual, “single‐level” statistics shows that MMM represent the only way to obtain correct cell‐level correlation coefficients. The summary statistics method (take average values across each patient produces patient‐level CC only, and the “pooling” method (merge all cells together and ignore patients as units of analysis yields incorrect CC at all. We conclude that multilevel modeling is an indispensable tool for studying correlations between morphometric variables.

A note on Verhulst's logistic equation and related logistic maps

Energy Technology Data Exchange (ETDEWEB)

Gutierrez, M Ranferi; Reyes, M A [Depto de Fisica, Universidad de Guanajuato, Apdo. Postal E143, 37150 Leon, Gto. (Mexico); Rosu, H C, E-mail: hcr@ipicyt.edu.m [IPICyT, Instituto Potosino de Investigacion Cientifica y Tecnologica, Apdo Postal 3-74 Tangamanga, 78231 San Luis PotosI (Mexico)

2010-05-21

We consider the Verhulst logistic equation and a couple of forms of the corresponding logistic maps. For the case of the logistic equation we show that using the general Riccati solution only changes the initial conditions of the equation. Next, we consider two forms of corresponding logistic maps reporting the following results. For the map x{sub n+1} = rx{sub n}(1 - x{sub n}) we propose a new way to write the solution for r = -2 which allows better precision of the iterative terms, while for the map x{sub n+1} - x{sub n} = rx{sub n}(1 - x{sub n+1}) we show that it behaves identically to the logistic equation from the standpoint of the general Riccati solution, which is also provided herein for any value of the parameter r.

Multi-level analysis in information systems research: the case of enterprise resource planning system usage in China

Science.gov (United States)

Sun, Yuan; Bhattacherjee, Anol

2011-11-01

Information technology (IT) usage within organisations is a multi-level phenomenon that is influenced by individual-level and organisational-level variables. Yet, current theories, such as the unified theory of acceptance and use of technology, describe IT usage as solely an individual-level phenomenon. This article postulates a model of organisational IT usage that integrates salient organisational-level variables such as user training, top management support and technical support within an individual-level model to postulate a multi-level model of IT usage. The multi-level model was then empirically validated using multi-level data collected from 128 end users and 26 managers in 26 firms in China regarding their use of enterprise resource planning systems and analysed using the multi-level structural equation modelling (MSEM) technique. We demonstrate the utility of MSEM analysis of multi-level data relative to the more common structural equation modelling analysis of single-level data and show how single-level data can be aggregated to approximate multi-level analysis when multi-level data collection is not possible. We hope that this article will motivate future scholars to employ multi-level data and multi-level analysis for understanding organisational phenomena that are truly multi-level in nature.

The importance of intersectoral factors in promoting equity-oriented universal health coverage: a multilevel analysis of social determinants affecting neonatal infant and under-five mortality in Bangladesh

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Tanvir M. Huda

2016-02-01

Full Text Available Introduction: Health is multidimensional and affected by a wide range of factors, many of which are outside the health sector. To improve population health and reduce health inequality, it is important that we take into account the complex interactions among social, environmental, behavioural, and biological factors and design our health interventions accordingly. Objectives: This study examines mortality differentials in children of different age groups by key social determinants of health (SDH including parental education and employment, mother's level of autonomy, age, asset index, living arrangements (utilities, and other geographical contextual factors (area of residence, road conditions. Design: We used data from the two rounds of Bangladesh Health and Demographic Survey, a nationally representative sample survey of the population residing in Bangladesh. Multilevel logistic models were used to study the impact of SDH on child mortality. Results: The study found that the mother's age, the education of both parents, the mother's autonomy to take decisions about matters linked to the health of her child, the household socio-economic conditions, the geographical region of residence, and the condition of the roads were significantly associated with higher risks of neonatal, infant, and under-five mortality in Bangladesh. Conclusion: The study findings suggest there are complex relationships among different SDH. Thus larger intersectoral actions will be needed to reduce disparities in child health and mortality and achieve meaningful progress towards equity-oriented universal health coverage.

Who is left behind on the road to universal facility delivery? A cross-sectional multilevel analysis in rural Tanzania.

Science.gov (United States)

Kruk, Margaret E; Hermosilla, Sabrina; Larson, Elysia; Vail, Daniel; Chen, Qixuan; Mazuguni, Festo; Byalugaba, Beatrice; Mbaruku, Godfrey

2015-08-01

To examine factors associated with home delivery among women in Pwani Region, Tanzania, which has experienced a rapid rise in facility delivery coverage. Cross-sectional data from a population-based survey of women residing in rural areas of Pwani Region were linked to health facility locations. We fitted multilevel logistic models to examine individual and community factors associated with home delivery. A total of 752 (27.95%) of the 2691 women who completed the survey delivered their last child at home. Women were less likely to deliver at home if they had any primary education [odds ratio (OR) 0.62; 95% confidence interval (CI): 0.50, 0.79], were primiparous (OR: 0.52; 95% CI: 0.37, 0.73), had more exposure to media (OR: 0.80; 95% CI: 0.66, 0.96) or had received more (OR: 0.78; 95% CI: 0.63, 0.96) or better quality antenatal care (ANC) services (OR: 0.48; 95% CI: 0.34, 0.67). Increased wealth was strongly associated with lower odds of home delivery (OR: 0.27; 95% CI: 0.18, 0.39), as was living in a village that grew cash crops (OR: 0.56; 95% CI: 0.35, 0.88). Farther distance to hospital, but not to lower level facilities, was associated with higher likelihood of home delivery (OR 2.49; 95% CI: 1.60, 3.88). Poverty, multiparity, weak ANC and distance to hospital were associated with persistence of home delivery in a region with high coverage of facility delivery. A pro-poor path to universal coverage of safe delivery requires a greater focus on quality of care and more intensive outreach to poor and multiparous women. © 2015 John Wiley & Sons Ltd.

Space Station fluid management logistics

Science.gov (United States)

Dominick, Sam M.

1990-01-01

Viewgraphs and discussion on space station fluid management logistics are presented. Topics covered include: fluid management logistics - issues for Space Station Freedom evolution; current fluid logistics approach; evolution of Space Station Freedom fluid resupply; launch vehicle evolution; ELV logistics system approach; logistics carrier configuration; expendable fluid/propellant carrier description; fluid carrier design concept; logistics carrier orbital operations; carrier operations at space station; summary/status of orbital fluid transfer techniques; Soviet progress tanker system; and Soviet propellant resupply system observations.

Individual- and community-level determinants of social acceptance of people living with HIV in Kenya: results from a national population-based survey.

Science.gov (United States)

Chiao, Chi; Mishra, Vinod; Sambisa, William

2009-09-01

Using the 2003 Kenya Demographic and Health Survey, we investigated the influence of individual- and community-level factors on accepting attitudes toward people living with HIV (PLHIV) using three outcomes: (1) willingness to care for an infected household member, (2) willingness to buy vegetables from an infected vendor, and (3) willingness to allow an infected female teacher to continue teaching. In multilevel logistic regression models, we found that individuals who expressed greater acceptance of PLHIV were more likely to be male, older, more educated, high AIDS knowledge, and exposed to mass media. At the community level, differences in accepting attitudes were associated with community AIDS knowledge, community education, and community AIDS experience, but not for region, or place of residence. The findings suggest the important role of community factors in determining social acceptance of PLHIV. Programmatic strategies aimed at increasing these accepting attitudes should consider both individual- and community-level factors.

Comparison of particular logistic models' adoption in the Czech Republic

Science.gov (United States)

Vrbová, Petra; Cempírek, Václav

2016-12-01

Managing inventory is considered as one of the most challenging tasks facing supply chain managers and specialists. Decisions related to inventory locations along with level of inventory kept throughout the supply chain have a fundamental impact on the response time, service level, delivery lead-time and the total cost of the supply chain. The main objective of this paper is to identify and analyse the share of a particular logistic model adopted in the Czech Republic (Consignment stock, Buffer stock, Safety stock) and also compare their usage and adoption according to different industries. This paper also aims to specify possible reasons of particular logistic model preferences in comparison to the others. The analysis is based on quantitative survey held in the Czech Republic.

Designing of vague logic based multilevel feedback queue scheduler

Directory of Open Access Journals (Sweden)

Supriya Raheja

2016-03-01

Full Text Available Multilevel feedback queue scheduler suffers from major issues of scheduling such as starvation for long tasks, fixed number of queues, and static length of time quantum in each queue. These factors directly affect the performance of the scheduler. At many times impreciseness exists in attributes of tasks which make the performance even worse. In this paper, our intent is to improve the performance by providing a solution to these issues. We design a multilevel feedback queue scheduler using a vague set which we call as VMLFQ scheduler. VMLFQ scheduler intelligently handles the impreciseness and defines the optimum number of queues as well as the optimal size of time quantum for each queue. It also resolves the problem of starvation. This paper simulates and analyzes the performance of VMLFQ scheduler with the other multilevel feedback queue techniques using MatLab.

Health at the borders: Bayesian multilevel analysis of women's malnutrition determinants in Ethiopia.

Science.gov (United States)

Delbiso, Tefera Darge; Rodriguez-Llanes, Jose Manuel; Altare, Chiara; Masquelier, Bruno; Guha-Sapir, Debarati

2016-01-01

Women's malnutrition, particularly undernutrition, remains an important public health challenge in Ethiopia. Although various studies examined the levels and determinants of women's nutritional status, the influence of living close to an international border on women's nutrition has not been investigated. Yet, Ethiopian borders are regularly affected by conflict and refugee flows, which might ultimately impact health. To investigate the impact of living close to borders in the nutritional status of women in Ethiopia, while considering other important covariates. Our analysis was based on the body mass index (BMI) of 6,334 adult women aged 20-49 years, obtained from the 2011 Ethiopian Demographic and Health Survey (EDHS). A Bayesian multilevel multinomial logistic regression analysis was used to capture the clustered structure of the data and the possible correlation that may exist within and between clusters. After controlling for potential confounders, women living close to borders (i.e. ≤100 km) in Ethiopia were 59% more likely to be underweight (posterior odds ratio [OR]=1.59; 95% credible interval [CrI]: 1.32-1.90) than their counterparts living far from the borders. This result was robust to different choices of border delineation (i.e. ≤50, ≤75, ≤125, and ≤150 km). Women from poor families, those who have no access to improved toilets, reside in lowland areas, and are Muslim, were independently associated with underweight. In contrast, more wealth, higher education, older age, access to improved toilets, being married, and living in urban or lowlands were independently associated with overweight. The problem of undernutrition among women in Ethiopia is most worrisome in the border areas. Targeted interventions to improve nutritional status in these areas, such as improved access to sanitation, economic and livelihood support, are recommended.

Optimized Thermal Management System of Modular Multilevel Converter for HVDC applications

DEFF Research Database (Denmark)

Hajizadeh, Amin

2017-01-01

The dynamical behavior of temperature is becoming a critical design consideration for the Modular Multilevel Converter (MMC). Investigation of an advanced control structure for Grid Connected-Modular Multilevel Converter (GC-MMC) is proposed in this paper. To achieve this goal, an non-linear mode...

The Sage handbook of multilevel modeling

CERN Document Server

Scott, Marc A; Marx, Brian D

2013-01-01

Leading contributors combine practical pieces with overviews of the state of the art in the field, making this handbook essential reading for any student or researcher looking to apply multilevel techniques in their own research

Optimal Multi-Level Lot Sizing for Requirements Planning Systems

OpenAIRE

Earle Steinberg; H. Albert Napier

1980-01-01

The wide spread use of advanced information systems such as Material Requirements Planning (MRP) has significantly altered the practice of dependent demand inventory management. Recent research has focused on development of multi-level lot sizing heuristics for such systems. In this paper, we develop an optimal procedure for the multi-period, multi-product, multi-level lot sizing problem by modeling the system as a constrained generalized network with fixed charge arcs and side constraints. T...

Applied logistic regression

CERN Document Server

Hosmer, David W; Sturdivant, Rodney X

2013-01-01

 A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-

Logistics planning and logistics planning factors for humanitarian operations

OpenAIRE

Sullivan, Donna Marie.

1995-01-01

Due to the increasing demand on the military to conduct humanitarian operations, the need for logistics planning factors that are applicable to these operations has arisen. This thesis develops a model for humanitarian operations and employs the model to develop logistics planning factors for material consumption and a computer-assisted planning aid relating to the support of the victim population. U.S. Navy (U.S.N.) author.

In-plant logistics optimalization

OpenAIRE

Maroušek, Jan

2008-01-01

In a theoretical part of this work there is introduced a general view on logistics and its development, than a view on creating value for customer, basics of lean production, lean thinking and following methods as Six Sigma and Value Stream Mapping. At the end of the theoretical part there is mentioned outsourcing of logistics services and view on relationship between logistics provider and a client. In a practical part there is introduced a project of in-plant logistics optimalization in a f...

A measure of emergence of a logistic group interaction

Directory of Open Access Journals (Sweden)

V. Novikov

2012-06-01

Full Text Available Background: The nature of the relations between group members is a very important part of the integrity of the logistics process. The identification of rating among the participants is certainly the most necessary condition for the quality of the logistics process. It can distinguished four types of emergence rating: direct participation rating, direct impact rating, participation rating and impact rating. The aim of this paper was to create the method to determine the mutual relationships among various elements of logistic group. Methods: The technique is based on the processing of the matrix of pairwise interactions obtained on the basis of a questionnaire survey of all members of the group and expressed as a score on the selected scale of assessments. The computation algorithm is based in particular on the traveling salesman problem using an original method of optimization and is implemented in Visual Studio C #. Results: 16 types of leaderships were distinguished and described by the use of statistical methods. Conclusions: The developed method of calculating the measure of emergence can be used not only for a group of students, but also for the definition of the rate of emergence in any collective system.

FEEDBACK AND LOGISTICS CONTROLLING

Directory of Open Access Journals (Sweden)

Mehesne Berek Szilvia

2015-07-01

Full Text Available The following things led to that the feedback, the supervision and improvement of the processes have become more pronounced: continuous rise in the importance of logistics; increase in complexity of its content; its activity becoming more complex. These activities are necessary for the optimum information supply. The intensification of market competition requires the corporations to possess exact and up-to-date information about their activities. Complexity of the logistics system presumes a parallel application of an effective feedback, supervision and management system simultaneously with the given logistics system. The indispensability of logistics is also proved by the fact that it can be found sporadically (in the form of logistics departments or in a complex way in case of each organization. The logistical approach means a huge support in the management since it contains the complexity, the handling as a unit in order to ensure a harmony of the different corporate departments and part activities. In addition to the professional application of a logistics system, there is an opportunity to coordinate the relations inside an organization as well as between the organizations and to handle them as a unit. The sine qua non of the success of logistical processes is a harmony of the devices applied. The controlling system is a device for feeding back the processes of a corporate system. By means of the checkpoints intercalated into the processes, the logistics controlling provides information for the leadership which contributes even more to the complex approach of logistics system. By dint of the logistics controlling, the monitoring and coordination of every logistical part activity become possible with the help of information supply ensured by the logistics controlling. The logistics controlling reviews, assesses and coordinates; these activities have an effect on the cost and income management. Its reason is to be searched in the built

Reverse logistics - a framework

NARCIS (Netherlands)

M.P. de Brito (Marisa); R. Dekker (Rommert)

2002-01-01

textabstractIn this paper we define and compare Reverse Logistics definitions. We start by giving an understanding framework of Reverse Logistics: the why-what-how. By this means, we put in context the driving forces for Reverse Logistics, a typology of return reasons, a classification of

Logistics centres development in Latvia

Directory of Open Access Journals (Sweden)

I. Kabashkin

2007-12-01

Full Text Available In the situation where a large increase in trade and freight transport volumes in the Baltic Sea region (BSR is expected and in which the BSR is facing a major economic restructuring, eff orts to achieve more integrated and sustainable transport and communication links within the BSR are needed. One of these eff orts is the development of logistics centres (LCs and their networking, which will continue to have an impact on improving communication links, spatial planning practices and approaches, logistics chain development and the promotion of sustainable transport modes. These factors will refl ect on logistics processes both in major gateway cities and in remote BSR areas. The importance of logistics systems as a whole is not seen clearly enough. Logistics actors see that logistics operations are not appreciated as much as other fi elds of activity. In addition, logistics centres and the importance of logistics activities to the business life of areas and the employment rate should be brought up better. In the paper main goal and tasks of national approach to LCs development are discussed. Strategic focus of new activities in this area is on the integration of various networks within and between logistics centres in order to improve and develop the quality of logistics networks as well as to spatially widen the networking activities. The key objectives are to integrate the links between logistics centres, ports and other logistics operators in a functional and sustainable way, to promote spatial integration by creating sustainable and integrated approaches to spatial planning of logistics centres and transport infrastructure, to improve ICT-based networking and communication practices of the fi elds of transport and logistics and to increase the competence of logistics centres and associated actors by organising educational and training events. The current activities include, for example, the creation of measures for transport networking and

School Collective Efficacy and Bullying Behaviour: A Multilevel Study

Science.gov (United States)

Olsson, Gabriella; Låftman, Sara Brolin; Modin, Bitte

2017-01-01

As with other forms of violent behaviour, bullying is the result of multiple influences acting on different societal levels. Yet the majority of studies on bullying focus primarily on the characteristics of individual bullies and bullied. Fewer studies have explored how the characteristics of central contexts in young people’s lives are related to bullying behaviour over and above the influence of individual-level characteristics. This study explores how teacher-rated school collective efficacy is related to student-reported bullying behaviour (traditional and cyberbullying victimization and perpetration). A central focus is to explore if school collective efficacy is related similarly to both traditional bullying and cyberbullying. Analyses are based on combined information from two independent data collections conducted in 2016 among 11th grade students (n = 6067) and teachers (n = 1251) in 58 upper secondary schools in Stockholm. The statistical method used is multilevel modelling, estimating two-level binary logistic regression models. The results demonstrate statistically significant between-school differences in all outcomes, except traditional bullying perpetration. Strong school collective efficacy is related to less traditional bullying perpetration and less cyberbullying victimization and perpetration, indicating that collective norm regulation and school social cohesion may contribute to reducing the occurrence of bullying. PMID:29261114

School Collective Efficacy and Bullying Behaviour: A Multilevel Study

Directory of Open Access Journals (Sweden)

Gabriella Olsson

2017-12-01

Full Text Available As with other forms of violent behaviour, bullying is the result of multiple influences acting on different societal levels. Yet the majority of studies on bullying focus primarily on the characteristics of individual bullies and bullied. Fewer studies have explored how the characteristics of central contexts in young people’s lives are related to bullying behaviour over and above the influence of individual-level characteristics. This study explores how teacher-rated school collective efficacy is related to student-reported bullying behaviour (traditional and cyberbullying victimization and perpetration. A central focus is to explore if school collective efficacy is related similarly to both traditional bullying and cyberbullying. Analyses are based on combined information from two independent data collections conducted in 2016 among 11th grade students (n = 6067 and teachers (n = 1251 in 58 upper secondary schools in Stockholm. The statistical method used is multilevel modelling, estimating two-level binary logistic regression models. The results demonstrate statistically significant between-school differences in all outcomes, except traditional bullying perpetration. Strong school collective efficacy is related to less traditional bullying perpetration and less cyberbullying victimization and perpetration, indicating that collective norm regulation and school social cohesion may contribute to reducing the occurrence of bullying.

School Collective Efficacy and Bullying Behaviour: A Multilevel Study.

Science.gov (United States)

Olsson, Gabriella; Låftman, Sara Brolin; Modin, Bitte

2017-12-20

As with other forms of violent behaviour, bullying is the result of multiple influences acting on different societal levels. Yet the majority of studies on bullying focus primarily on the characteristics of individual bullies and bullied. Fewer studies have explored how the characteristics of central contexts in young people's lives are related to bullying behaviour over and above the influence of individual-level characteristics. This study explores how teacher-rated school collective efficacy is related to student-reported bullying behaviour (traditional and cyberbullying victimization and perpetration). A central focus is to explore if school collective efficacy is related similarly to both traditional bullying and cyberbullying. Analyses are based on combined information from two independent data collections conducted in 2016 among 11th grade students ( n = 6067) and teachers ( n = 1251) in 58 upper secondary schools in Stockholm. The statistical method used is multilevel modelling, estimating two-level binary logistic regression models. The results demonstrate statistically significant between-school differences in all outcomes, except traditional bullying perpetration. Strong school collective efficacy is related to less traditional bullying perpetration and less cyberbullying victimization and perpetration, indicating that collective norm regulation and school social cohesion may contribute to reducing the occurrence of bullying.

SIMULATION OF LOGISTICS PROCESSES

Directory of Open Access Journals (Sweden)

Yu. Taranenko

2016-08-01

Full Text Available The article deals with the theoretical basis of the simulation. The study shows the simulation of logistic processes in industrial countries is an integral part of many economic projects aimed at the creation or improvement of logistics systems. The paper was used model Beer Game for management of logistics processes in the enterprise. The simulation model implements in AnyLogic package. AnyLogic product allows us to consider the logistics processes as an integrated system, which allows reaching better solutions. Logistics process management involves pooling the sales market, production and distribution to ensure the temporal level of customer service at the lowest cost overall. This made it possible to conduct experiments and to determine the optimal size of the warehouse at the lowest cost.

The relationship between neighborhood empowerment and dental caries experience: a multilevel study in adolescents and adults

Directory of Open Access Journals (Sweden)

Bianca Marques Santiago

2014-01-01

Full Text Available OBJECTIVE: To investigate the relationship of contextual social capital (neighborhood empowerment and individual social capital (social support and social network with dental caries experience in adolescents and adults. METHODS: A population-based multilevel study was conducted involving 573 subjects, 15-19 and 35-44 years of age, from 30 census tracts in three cities of Paraíba, Brazil. A two-stage cluster sampling was used considering census tracts and households as sampling units. Caries experience was assessed using the DMFT index (decayed, missing and filled teeth and participants were divided into two groups according to the median of the DMFT index in low and high caries experience. Demographic, socioeconomic, behaviors, use of dental services and social capital measures were collected through interviews. Neighborhood empowerment was obtained from the mean scores of the residents in each census tract. Multilevel multivariate logistic regression was used to test the relationship between neighborhood empowerment and caries experience. RESULTS: High caries experience was inversely associated with neighborhood empowerment (OR = 0.58; 95%CI 0.33 - 0.99. Individual social capital was not associated with caries experience. Other associated factors with caries experience were age (OR = 1.15; 95%CI 1.12 - 1.18 and being a female (OR = 1.72; 95%CI 1.08 - 2.73. CONCLUSION: The association between neighborhood empowerment and caries experience suggests that the perception of features of the place of residence should be taken into account in actions of oral health promotion.

COORDINATION IN MULTILEVEL NETWORK-CENTRIC CONTROL SYSTEMS OF REGIONAL SECURITY: APPROACH AND FORMAL MODEL

Directory of Open Access Journals (Sweden)

A. V. Masloboev

2015-01-01

Full Text Available The paper deals with development of methods and tools for mathematical and computer modeling of the multilevel network-centric control systems of regional security. This research is carried out under development strategy implementation of the Arctic zone of the Russian Federation and national safeguarding for the period before 2020 in the Murmansk region territory. Creation of unified interdepartmental multilevel computer-aided system is proposed intended for decision-making information support and socio-economic security monitoring of the Arctic regions of Russia. The distinctive features of the investigated system class are openness, self-organization, decentralization of management functions and decision-making, weak hierarchy in the decision-making circuit and goal generation capability inside itself. Research techniques include functional-target approach, mathematical apparatus of multilevel hierarchical system theory and principles of network-centric control of distributed systems with pro-active components and variable structure. The work considers network-centric management local decisions coordination problem-solving within the multilevel distributed systems intended for information support of regional security. The coordination problem-solving approach and problem formalization in the multilevel network-centric control systems of regional security have been proposed based on developed multilevel recurrent hierarchical model of regional socio-economic system complex security. The model provides coordination of regional security indexes, optimized by the different elements of multilevel control systems, subject to decentralized decision-making. The model specificity consists in application of functional-target technology and mathematical apparatus of multilevel hierarchical system theory for coordination procedures implementation of the network-centric management local decisions. The work-out and research results can find further

Macro-level gender equality and alcohol consumption: a multi-level analysis across U.S. States.

Science.gov (United States)

Roberts, Sarah C M

2012-07-01

Higher levels of women's alcohol consumption have long been attributed to increases in gender equality. However, only limited research examines the relationship between gender equality and alcohol consumption. This study examined associations between five measures of state-level gender equality and five alcohol consumption measures in the United States. Survey data regarding men's and women's alcohol consumption from the 2005 Behavioral Risk Factor Surveillance System were linked to state-level indicators of gender equality. Gender equality indicators included state-level women's socioeconomic status, gender equality in socioeconomic status, reproductive rights, policies relating to violence against women, and women's political participation. Alcohol consumption measures included past 30-day drinker status, drinking frequency, binge drinking, volume, and risky drinking. Other than drinker status, consumption is measured for drinkers only. Multi-level linear and logistic regression models adjusted for individual demographics as well as state-level income inequality, median income, and % Evangelical Protestant/Mormon. All gender equality indicators were positively associated with both women's and men's drinker status in models adjusting only for individual-level covariates; associations were not significant in models adjusting for other state-level characteristics. All other associations between gender equality and alcohol consumption were either negative or non-significant for both women and men in models adjusting for other state-level factors. Findings do not support the hypothesis that higher levels of gender equality are associated with higher levels of alcohol consumption by women or by men. In fact, most significant findings suggest that higher levels of equality are associated with less alcohol consumption overall. Copyright © 2012 Elsevier Ltd. All rights reserved.

Analog Filter Design Rules for Multilevel Polybinary Signaling Generation

DEFF Research Database (Denmark)

Vegas Olmos, Juan José; Cavallero, Francisco javier Vaquero; Tafur Monroy, Idelfonso

2014-01-01

Polybinary signaling has gained attention lately due to its generation simplicity and reduced spectral usage. This paper presents a study on the requirements for analog filters for the generation of multilevel polybinary signals with three to nine levels.......Polybinary signaling has gained attention lately due to its generation simplicity and reduced spectral usage. This paper presents a study on the requirements for analog filters for the generation of multilevel polybinary signals with three to nine levels....

Domain decomposition and multilevel integration for fermions

International Nuclear Information System (INIS)

Ce, Marco; Giusti, Leonardo; Schaefer, Stefan

2016-01-01

The numerical computation of many hadronic correlation functions is exceedingly difficult due to the exponentially decreasing signal-to-noise ratio with the distance between source and sink. Multilevel integration methods, using independent updates of separate regions in space-time, are known to be able to solve such problems but have so far been available only for pure gauge theory. We present first steps into the direction of making such integration schemes amenable to theories with fermions, by factorizing a given observable via an approximated domain decomposition of the quark propagator. This allows for multilevel integration of the (large) factorized contribution to the observable, while its (small) correction can be computed in the standard way.

A multilevel analysis of long-term psychological distress among Belarusians affected by the Chernobyl disaster.

Science.gov (United States)

Beehler, G P; Baker, J A; Falkner, K; Chegerova, T; Pryshchepava, A; Chegerov, V; Zevon, M; Bromet, E; Havenaar, J; Valdismarsdottir, H; Moysich, K B

2008-11-01

Radiation contamination and sociopolitical instability following the Chernobyl nuclear power plant disaster have had a profound impact on Belarus. To investigate the factors that impact long-term mental health outcomes of this population almost 20 years after the disaster. Cross-sectional study. In-person interviews were conducted with 381 men and women from two geographic areas of differing radiation contamination within Belarus. Participants completed surveys of demographics, psychosocial factors and psychological distress. Individual-level characteristics were combined with household-level measures of radiation contamination exposure and family characteristics to create multilevel predictive models of psychological distress. Between-household effects accounted for 20% of variability in depression and anxiety scores, but only 8% of variability in somatization scores. Degree of chronic daily stressors showed a significant positive relationship with psychological distress, whereas mastery/controllability showed a significant inverse relationship with distress. At household level, perceived family problems, but not level of residential radiation contamination, was the best predictor of distress. Multilevel modelling indicates that long-term psychological distress among Belarusians affected by the Chernobyl disaster is better predicted by stress-moderating psychosocial factors present in one's daily life than by level of residential radiation contamination.

State of Logistics in South Africa: A review of the past five years

CSIR Research Space (South Africa)

King, DJ

2008-11-01

Full Text Available has a specific theme around which the content is structured and provides insight into the logistics and supply chain issues on a macro and micro-economic level. The first survey released in 2004 was aptly titled “The case for measurement...

Associations of neighborhood-level workplace violence with workers' mental distress problems: a multilevel analysis of Taiwanese employees.

Science.gov (United States)

Pien, Li-Chung; Chen, Duan-Rung; Chen, Chiou-Jong; Liang, Kuei-Min; Cheng, Yawen

2015-01-01

Workplace violence is known to pose mental health risks. However, whether or not workplace violence in a surrounding area might further increase the risk of mental distress in workers has rarely been examined. The study subjects were 9,393 male and 7,716 female employees who participated in a nationwide survey in 2010. Their personal experiences of workplace violence over the past 1 year were ascertained by a standardized questionnaire. Also assessed were their psychosocial work characteristics and mental distress problems. Neighborhood-level workplace violence was computed based on aggregated data at the county level and was categorized into low-, medium-, and high-level categories. Multilevel logistic regression models were constructed to examine the associations between neighborhood-level workplace violence and individual-level mental distress problems, with adjustment of individual-level experience of workplace violence. The neighborhood-level prevalence of workplace violence ranged from 4.7 to 14.7% in men and from 6.4 to 14.8% in women across 22 counties. As compared with those who live in counties of the lowest tertile of workplace violence, female workers who lived in counties of the highest tertile of workplace violence had a 1.72-fold increased risk for mental distress problems after controlling for individual experience of workplace violence and other psychosocial work characteristics. Neighborhood-level workplace violence was associated with poor mental health in female workers. Preventative strategies targeting workplace violence should pay attention to neighborhood factors and gender-specific effects that might influence societal tolerance of abusive work practices and workers' vulnerability to mental health impacts of workplace violence.

Utilization of focused antenatal care in Zambia: examining individual- and community-level factors using a multilevel analysis.

Science.gov (United States)

Chama-Chiliba, Chitalu M; Koch, Steven F

2015-02-01

We examine the individual- and community-level factors associated with the utilization of antenatal care, following the adoption of the focused antenatal care (FANC) approach in Zambia. Using the 2007 Zambia Demographic and Health Survey, linked with administrative and health facility census data, we specify two multilevel logistic models to assess the factors associated with (1) the inadequate use of antenatal care (ANC) (defined as three or fewer visits) and (2) the non-use of ANC in the first trimester of pregnancy. Although all women in the selected sample had at least one ANC visit, 40% did not have the minimum number required (four), whereas more than 80% of the initial check-ups did not occur in the first trimester. At the individual level, the woman's employment status, quality of ANC received and the husband's educational attainment are negatively associated, while parity, the household childcare burden and wealth are positively associated with inadequate utilization of ANC. Both individual- and community-level characteristics influence inadequate use and non-use of ANC in the first trimester; however, community-level factors are relatively stronger in rural areas. The results suggest that improving the content of care during ANC visits may foster adequate use of ANC and encourage early initiation of ANC visits. Furthermore, health promotion programmes need to further encourage male involvement in pregnant women's decision to seek ANC to encourage adequate use of services. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2013; all rights reserved.

Green Maritime Logistics

DEFF Research Database (Denmark)

Psaraftis, Harilaos N.

2016-01-01

By green maritime logistics we mean achieving an acceptable environmental performance of the maritime transport logistical supply chain while at the same time respecting traditional economic criteria. In this paper the environmental focus is on maritime emissions. Achieving such goal may involve ...

Social Capital and Health: A Review of Prospective Multilevel Studies

Science.gov (United States)

Murayama, Hiroshi; Fujiwara, Yoshinori; Kawachi, Ichiro

2012-01-01

Background This article presents an overview of the concept of social capital, reviews prospective multilevel analytic studies of the association between social capital and health, and discusses intervention strategies that enhance social capital. Methods We conducted a systematic search of published peer-reviewed literature on the PubMed database and categorized studies according to health outcome. Results We identified 13 articles that satisfied the inclusion criteria for the review. In general, both individual social capital and area/workplace social capital had positive effects on health outcomes, regardless of study design, setting, follow-up period, or type of health outcome. Prospective studies that used a multilevel approach were mainly conducted in Western countries. Although we identified some cross-sectional multilevel studies that were conducted in Asian countries, including Japan, no prospective studies have been conducted in Asia. Conclusions Prospective evidence from multilevel analytic studies of the effect of social capital on health is very limited at present. If epidemiologic findings on the association between social capital and health are to be put to practical use, we must gather additional evidence and explore the feasibility of interventions that build social capital as a means of promoting health. PMID:22447212

Green Logistics Management

Science.gov (United States)

Chang, Yoon S.; Oh, Chang H.

Nowadays, environmental management becomes a critical business consideration for companies to survive from many regulations and tough business requirements. Most of world-leading companies are now aware that environment friendly technology and management are critical to the sustainable growth of the company. The environment market has seen continuous growth marking 532B in 2000, and 590B in 2004. This growth rate is expected to grow to 700B in 2010. It is not hard to see the environment-friendly efforts in almost all aspects of business operations. Such trends can be easily found in logistics area. Green logistics aims to make environmental friendly decisions throughout a product lifecycle. Therefore for the success of green logistics, it is critical to have real time tracking capability on the product throughout the product lifecycle and smart solution service architecture. In this chapter, we introduce an RFID based green logistics solution and service.

Transferring skills in quality collaboratives focused on improving patient logistics.

Science.gov (United States)

Weggelaar-Jansen, Anne Marie; van Wijngaarden, Jeroen

2018-04-02

A quality improvement collaborative, often used by the Institute for Healthcare Improvement, is used to educate healthcare professionals and improve healthcare at the same time. However, no prior research has been done on the knowledge and skills healthcare professionals need to achieve improvements or the extent to which quality improvement collaboratives help enhance both knowledge and skills. Our research focused on quality improvement collaboratives aiming to improve patient logistics and tried to identify which knowledge and skills are required and to what extent these were enhanced during the QIC. We defined skills important for logistic improvements in a three-phase Delphi study. Based on the Delphi results we made a questionnaire. We surveyed participants in a national quality improvement collaborative to assess the skills rated as 1) important, 2) available and 3) improved during the collaborative. At two sense-making meetings, experts reflected on our findings and hypothesized on how to improve (logistics) collaboratives. The Delphi study found 18 skills relevant for reducing patient access time and 21 for reducing throughput time. All skills retrieved from the Delphi study were scored as 'important' in the survey. Teams especially lacked soft skills connected to project and change management. Analytical skills increased the most, while more reflexive skills needed for the primary goal of the collaborative (reduce access and throughput times) increased modestly. At two sense-making meetings, attendees suggested four improvements for a quality improvement collaborative: 1) shift the focus to project- and change management skills; 2) focus more on knowledge transfer to colleagues; 3) teach participants to adapt the taught principles to their own situations; and 4) foster intra-project reflexive learning to translate gained insights to other projects (inter-project learning). Our findings seem to suggest that Quality collaboratives could benefit if more

Governance and the Commons in a Multi-Level World

Directory of Open Access Journals (Sweden)

Derek Armitage

2007-11-01

Full Text Available Multi-level governance may facilitate learning and adaptation in complex social-ecological circumstances. Such arrangements should connect community-based management with regional/national government-level management, link scientific management and traditional management systems, encourage the sharing of knowledge and information, and promote collaboration and dialogue around goals and outcomes. Governance innovations of this type can thus build capacity to adapt to change and manage for resilience. However, critical reflection on the emergence of adaptive, multi-level governance for the commons is warranted. Drawing on examples from the North and South, the purpose of this review is to connect three complementary bodies of scholarship with insights for commons governance in a multi-level world: common property theory, resilience thinking and political ecology. From the commons and resilience literature, normative principles of adaptive, multi-level governance are synthesized (e.g., participation, accountability, leadership, knowledge pluralism, learning and trust. Political ecological interpretations, however, help to reveal the challenge of actualizing these principles and the contextual forces that make entrenched, top-down management systems resilient to change. These forces include the role of power, scale and levels of organization, knowledge valuation, the positioning of social actors and social constructions of nature. Also addressed are the policy narratives that shape governance, and the dialectic relationship among ecological systems and social change. tekst

The determinants of logistics cooperation in the supply chain - selected results of the opinion poll within logistics service providers and their customers

Directory of Open Access Journals (Sweden)

Marcin Świtała

2015-12-01

Full Text Available Introduction: The paper is focused on some selected aspects of the cooperation between logistics service providers and their customers and considers the results of comparative analysis of importance assessment of the variables determining: the scope and nature of that cooperation, quality of providers' sales offer as well as changes in their customer service policy. Methods: To analyze the underlying problem direct research was conducted, i.e. a survey based on a questionnaire among 50 logistics service providers and 50 shippers. The sample was determined on special purpose. In the statistical analysis chi-square independence test, U Mann-Whitney's test as well as Cramer's V and Spearman's rho correlation ratios were used. Results: There were observed significant statistical differences between analyzed groups in the way the cooperation is perceived. The most vital discrepancies are related to customers' satisfaction degree and the assessment of the influence the providers' prices and competencies have on the cooperation. For the customers, declaring higher degree of the satisfaction from the cooperation, service quality was the most important factor. However, for the service providers, price factor was the most important one. Moreover, some differences in the answers related to changes in the service were observed, mainly with reference to: logistics capacity, out-of-loss shipments and communication. Conclusions: The group of customers revealed to be little demanding about logistics service. They tended to order mainly routine services, not demanding special skills from the service providers. This is the most probable reason why customers/providers preferred cooperation with greater number of entities. The customers, unlike service providers, also didn't have the need to develop more advanced forms of cooperation. Moreover, the observed differences related to the importance hierarchy of the cooperation determinants as well as service standards

The logic of logistics: theory, algorithms and applications for logistics management

Directory of Open Access Journals (Sweden)

Claudio Barbieri da Cunha

2010-04-01

Full Text Available

Nesse texto o autor apresenta uma resenha acerca do livro "The logic of logistics: theory, algorithms and applications for logistics management", de autoria de Julien Bramel e David Simchi-Levi, publicado pela Springer-Verlag, em 1997.

Asynchronous monitoring of the quality of multilevel optical PAM signals

Science.gov (United States)

Siuzdak, J.

2017-08-01

In the paper, there is analyzed the signal quality assessment method based on delay tap asynchronous sampling, both for binary and multilevel PAM signals. The obtained multilevel phase diagrams are far more complicated than binary ones. The phase diagrams are affected by the signal distortions but it is difficult to relate reliably the phase diagram form to the distortion type and its influence on the signal quality.

Security in Logistics

Science.gov (United States)

Cempírek, Václav; Nachtigall, Petr; Široký, Jaromír

2016-12-01

This paper deals with security of logistic chains according to incorrect declaration of transported goods, fraudulent transport and forwarding companies and possible threats caused by political influences. The main goal of this paper is to highlight possible logistic costs increase due to these fraudulent threats. An analysis of technological processes will beis provided, and an increase of these transport times considering the possible threatswhich will beis evaluated economic costs-wise. In the conclusion, possible threat of companies'` efficiency in logistics due to the costs`, means of transport and increase in human resources` increase will beare pointed out.

DC-DC Type High-Frequency Link DC for Improved Power Quality of Cascaded Multilevel Inverter

Science.gov (United States)

Sadikin, Muhammad; Senjyu, Tomonobu; Yona, Atsushi

2013-06-01

Multilevel inverters are emerging as a new breed of power converter options for power system applications. Recent advances in power switching devices enabled the suitability of multilevel inverters for high voltage and high power applications because they are connecting several devices in series without the need of component matching. Usually, a transformerless battery energy storage system, based on a cascaded multilevel inverter, is used as a measure for voltage and frequency deviations. System can be reduced in size, weight, and cost of energy storage system. High-frequency link circuit topology is advantageous in realizing compact and light-weight power converters for uninterruptible power supply systems, new energy systems using photovoltaic-cells, fuel-cells and so on. This paper presents a DC-DC type high-frequency link DC (HFLDC) cascaded multilevel inverter. Each converter cell is implemented a control strategy for two H-bridge inverters that are controlled with the same multicarrier pulse width modulation (PWM) technique. The proposed cascaded multilevel inverter generates lower voltage total harmonic distortion (THD) in comparison with conventional cascaded multilevel inverter. Digital simulations are carried out using PSCAD/EMTDC to validate the performance of the proposed cascaded multilevel inverter.

Mathematical model comparing of the multi-level economics systems

Science.gov (United States)

Brykalov, S. M.; Kryanev, A. V.

2017-12-01

The mathematical model (scheme) of a multi-level comparison of the economic system, characterized by the system of indices, is worked out. In the mathematical model of the multi-level comparison of the economic systems, the indicators of peer review and forecasting of the economic system under consideration can be used. The model can take into account the uncertainty in the estimated values of the parameters or expert estimations. The model uses the multi-criteria approach based on the Pareto solutions.

Quality control using a multilevel logistic model for the Danish pig Salmonella surveillance antibody-ELISA programme

DEFF Research Database (Denmark)

Bak, Hanne; Ekeroth, Lars; Houe, Hans

2007-01-01

In Denmark, the level of Salmonella infection in pig herds is monitored with a surveillance programme using an indirect antibody ELISA. Our purpose with the present study was to determine whether sample results from the programme were useful in the quality control of this ELISA. Test results from...... throughout. Analysis of the test results from the wells with test samples gave good information on systematic errors across the microtitre plates, and severe errors appeared significant even when data from short time periods were used....... the year 2003, in which the laboratory experienced a technical problem with an automatic microtitre-plate washing machine, were examined statistically. We chose 3 months for the analysis: January, where the problem was moderate, June with the problem more serious, and November, where the problem had been...... solved. A logistic analysis was carried out with outcome 0 for a negative test result and I for a positive test result. Row and column on the microtitre plates, multiprobe robot, and their interactions were included as fixed effects, and date, plate, and slaughterhouse were included as random effects...

A robust optimization model for green regional logistics network design with uncertainty in future logistics demand

Directory of Open Access Journals (Sweden)

Dezhi Zhang

2015-12-01

Full Text Available This article proposes a new model to address the design problem of a sustainable regional logistics network with uncertainty in future logistics demand. In the proposed model, the future logistics demand is assumed to be a random variable with a given probability distribution. A set of chance constraints with regard to logistics service capacity and environmental impacts is incorporated to consider the sustainability of logistics network design. The proposed model is formulated as a two-stage robust optimization problem. The first-stage problem before the realization of future logistics demand aims to minimize a risk-averse objective by determining the optimal location and size of logistics parks with CO2 emission taxes consideration. The second stage after the uncertain logistics demand has been determined is a scenario-based stochastic logistics service route choices equilibrium problem. A heuristic solution algorithm, which is a combination of penalty function method, genetic algorithm, and Gauss–Seidel decomposition approach, is developed to solve the proposed model. An illustrative example is given to show the application of the proposed model and solution algorithm. The findings show that total social welfare of the logistics system depends very much on the level of uncertainty in future logistics demand, capital budget for logistics parks, and confidence levels of the chance constraints.

A Multilevel Study of Students' Motivations of Studying Accounting: Implications for Employers

Science.gov (United States)

Law, Philip; Yuen, Desmond

2012-01-01

Purpose: The purpose of this study is to examine the influence of factors affecting students' choice of accounting as a study major in Hong Kong. Design/methodology/approach: Multinomial logistic regression and Hierarchical Generalized Linear Modeling (HGLM) are used to analyze the survey data for the level one and level two data, which is the…

Socioeconomic Position, Rural Residence, and Marginality Influences on Obesity Status in the Adult Mexican Population

OpenAIRE

Sparks, P. Johnelle; Sparks, Corey S.

2012-01-01

This paper assesses individual and social environment determinants of obesity in the adult Mexican population based on socioeconomic position, rural residence, and areal deprivation. Using a nationally representative health and nutrition survey, this analysis considers individual and structural determinants of obesity from a socioeconomic position and health disparities conceptual framework using multilevel logistic regression models. We find that more than thirty percent of Mexican adults we...

Multi-level governance in EU climate law

NARCIS (Netherlands)

Vedder, Hans; Woerdman, Edwin; Roggenkamp, Martha; Holwerda, Marijn

2015-01-01

This chapter analyses the multi-level governance in EU climate law; it connects the international arena, with EU and national decision-making and relates climate change considerations to competitiveness concerns.

A New Advanced Logistics Supply Chain for Food Management Based on Green Logistics Theory

OpenAIRE

Lanqing Liu

2013-01-01

The study aims to investigate the advanced logistics supply chain for food management using green logistics. To protect the food logistics environment and prevent the environmental pollution, it is crucial to establish powerful modern supply chains to support the food management in transportation. The construction speed of the food companies is very fast; however, the food supply lags behind the food companies. As a result, the environmental pollution caused in the food logistics becomes seve...

CoR's White Paper on Multilevel Governance - Advantages and Disadvantages

OpenAIRE

Gal, Diana; Brie, Mircea

2011-01-01

By the multilevel governance concept we can see the European Union as a political system with interconnected institutions that exist at multiple levels with unique policy features. The White Paper on Multilevel Governance reflects the determination to "Build Europe in partnership" and sets two main strategic objectives: encouraging participation in the European process and reinforcing the efficiency of Community action. The fact that public interest in European elections is decreasing, whils...

Multilevel models in international business research

NARCIS (Netherlands)

Peterson, M.F.; Arregle, J-L.; Martin, Xavier

2012-01-01

Multiple-level (or mixed linear) modeling (MLM) can simultaneously test hypotheses at several levels of analysis (usually two or three), or control for confounding effects at one level while testing hypotheses at others. Advances in multi-level modeling allow increased precision in quantitative

International Logistics Science Conference

CERN Document Server

Hompel, Michael; Meier, J

2014-01-01

The importance of logistics in all its variations is still increasing. New technologies emerge, new planning methods and algorithms are developed, only to face a market with a growing complexity and the need of weighting monetary costs against ecological impact. Mastering these challenges requires a scientific viewpoint on logistics, but always with applications in mind. This volume presents up-to-date logistics research in all its diversity and interconnectedness. It grew out of the “International Logistics Science Conference” (ILSC) held in Dortmund in September 2013, bringing together leading scientists and young academics from nine different countries. The conference was jointly organized by the “Efficiency Cluster Logistics” and the “Fraunhofer Institute for Material Flow and Logistics”. The Program Committee used a double blind review process to choose the 12 strongest contributions, which were then grouped in four areas: - Sustainability logistics, including electric mobility, smart inform...

Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel

Science.gov (United States)

Garcia-Garzon, Eduardo; Zhukovsky, Peter; Haller, Elisa; Plakolm, Sara; Fink, David; Petrova, Dafina; Mahalingam, Vaishali; Menezes, Igor G.; Ruggeri, Kai

2016-01-01

Medical travel has expanded rapidly in recent years, resulting in new markets and increased access to medical care. Whereas several studies investigated the motives of individuals seeking healthcare abroad, the conventional analytical approach is limited by substantial caveats. Classical techniques as found in the literature cannot provide sufficient insight due to the nested nature of data generated. The application of adequate analytical techniques, specifically multilevel modeling, is scarce to non-existent in the context of medical travel. This study introduces the guidelines for application of multilevel techniques in public health research by presenting an application of multilevel modeling in analyzing the decision-making patterns of potential medical travelers. Benefits and potential limitations are discussed. PMID:27252672

Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel.

Science.gov (United States)

Garcia-Garzon, Eduardo; Zhukovsky, Peter; Haller, Elisa; Plakolm, Sara; Fink, David; Petrova, Dafina; Mahalingam, Vaishali; Menezes, Igor G; Ruggeri, Kai

2016-01-01

Medical travel has expanded rapidly in recent years, resulting in new markets and increased access to medical care. Whereas several studies investigated the motives of individuals seeking healthcare abroad, the conventional analytical approach is limited by substantial caveats. Classical techniques as found in the literature cannot provide sufficient insight due to the nested nature of data generated. The application of adequate analytical techniques, specifically multilevel modeling, is scarce to non-existent in the context of medical travel. This study introduces the guidelines for application of multilevel techniques in public health research by presenting an application of multilevel modeling in analyzing the decision-making patterns of potential medical travelers. Benefits and potential limitations are discussed.

Multilevel evaluation of 'China Healthy Lifestyles for All', a nationwide initiative to promote lower intakes of salt and edible oil.

Science.gov (United States)

Zhang, Juan; Astell-Burt, Thomas; Seo, Dong-Chul; Feng, Xiaoqi; Kong, Lingzhi; Zhao, Wenhua; Li, Nicole; Li, Yuan; Yu, Shicheng; Feng, Guoshuang; Ren, Duofu; Lv, Yuebin; Wang, Jinglei; Shi, Xiaoming; Liang, Xiaofeng; Chen, Chunming

2014-10-01

To evaluate the impact of 'China Healthy Lifestyle for All' on levels of knowledge, taste and intentions to modify future consumption of salt and edible oil. Between May and August 2012, a face-to-face survey carried out in all 31 provinces, autonomous regions, and municipalities in mainland China, achieved a 98.1% response. Intention-To-Treat analysis via multilevel logistic regression was used to examine differences in outcomes between 31,396 non-institutionalised individuals aged > 18 years from 31 'intervention' (i.e. participating) and 26 'control' (i.e. non-participating) counties respectively. Adjusting for socioeconomic confounders, participants in 'intervention' counties were more likely to know the limit of salt (Odds Ratio 3.14, 95% Confidence Interval (95% CI) 1.98, 4.96) and oil consumption (3.67, 95% CI 2.31, 5.82), and were more intent to modify their consumption (salt 1.98, 95% CI 1.41, 2.76; oil OR 1.99, 95% CI 1.41, 2.81) and to report a change in taste (salt 1.90, 95% CI 1.31, 2.75; oil 2.07, 95% CI 1.38, 3.10). 'Intervention' effects were consistent regardless of income or education, but women and older participants benefited disproportionately. Outcomes were 2.8 and 4.7 times more likely among those with better recall. Place-based health promotion interventions have an important role to play in addressing non-communicable disease in China. Copyright © 2014 Elsevier Inc. All rights reserved.

Logistički informacioni sistem / Logistics information system

Directory of Open Access Journals (Sweden)

Marko D. Andrejić

2010-01-01

creating, gathering, processing and distribution of data and information are implemented in the given conditions. LOGISTICS SUPPORT INFORMATION Timely disposal of information is a prerequisite for effective command and control in general, and particularly in the areas of logistics support. Considering that modern conditions do not see any decision making regarding the use of armed forces without adequate logistical support, it is of crucial importance for command authorities at all levels to have necessary information on the status of weapons and military equipment and available logistical resources. DOCTRINAL REQUIREMENTS FOR LOGISTICS INFORMATION SYSTEM A logistics support system is a complex military, economic and organizational multilevel system. The mission of logistics, in the sphere of defense, is reflected in planning, creating, developing, launching, supporting and maintaining efficient and effective defense forces. Its task is to provide maneuver, precise effects (fire, comprehensive protection and rational and focused support 'top down' to the Army, at requested location, time, extent and manner, as close as possible to the source of logistic demands and with optimum use of resources. The logistics support system comprises a man, a weapon, an integrated combat system (technical system and the man with all support and an organizational system (units and institutions, as a whole. LOGISTICS INFORMATION NEEDS A logistics information system needs to process data and provide information relevant to decision makers about logistic objects, i.e. a man, weapons or equipment, animals, integrated combat systems, organizations, infrastructure facilities and installations in order to ensure high-quality execution of all logistic tasks within defined missions, through the entire life cycle of a system (peacetime, crisis situation, state of emergency, mobilization, war. Automated LOGISTICS INFORMATION SYSTEM LOGISTICS (background automated information system (LAIS is one of the

Development of logistics information systems

Directory of Open Access Journals (Sweden)

Milan Ž. Dronjak

2012-10-01

Full Text Available An adequate logistics information system provides real time automated data processing, distribution and of information according to Terrain Commander's requirements, which leads to timely fulfillment of logistic demands of units. SAP ERP The SAP ERP application is the integrated (ERP software capable of working with complex organisational structures, personnel, equipment, and finance. It enables planning and combining forces for every type of operations. The system also enables the determination of the readiness status of modelled forces. ISL The Information System for Logistics (ISL is a comprehensive information system of the Ministry of Defence (MoD and the Army of the Czech Republic that covers many areas: acquisition, supply, ammunition and equipment maintenance, logistics, etc. The ISL provides support for military logistics in all important areas of consumer and acquisition logistics, satisfaying all kinds of Defence Forces needs in the country and abroad. LOGFAS The information system LOGFAS comprises Logistics Database (LOGBASE, Movement and Transportation software (M&T, Allied Command Europe Resource Optimisation Software System (ACROSS and Logistic Reporting System (LOGREP. The Logistics Database LOGBASE represents a logistics information source and also a database related to assets, forces, geography, infrastructure, targets, supplies, movements and medical data. The main software tools which rely on the LOGBASE are M&T, ACROSS and LOGREP. GCSS-Army The original impetus to create the SALE came in the mid-90s when the United States Department of Defense (DoD started a logistics modernisation programme. One of tasks was to build The Single Army Logistics Enterprise (SALE for the purpose of covering the whole organisational structure of the DoD. There are three components of the SALE: GCSS-Army, PLM+ and LMP. Each of them uses the commercial Enterprise Resource Planning SAP Software with a Web access. The main component, GCSS

Income inequality and high blood pressure in Colombia: a multilevel analysis.

Science.gov (United States)

Lucumi, Diego I; Schulz, Amy J; Roux, Ana V Diez; Grogan-Kaylor, Andrew

2017-11-21

The objective of this research was to examine the association between income inequality and high blood pressure in Colombia. Using a nationally representative Colombian sample of adults, and data from departments and municipalities, we fit sex-stratified linear and logistic multilevel models with blood pressure as a continuous and binary variable, respectively. In adjusted models, women living in departments with the highest quintile of income inequality in 1997 had higher systolic blood pressure than their counterparts living in the lowest quintile of income inequality (mean difference 4.42mmHg; 95%CI: 1.46, 7.39). Women living in departments that were at the fourth and fifth quintile of income inequality in 1994 were more likely to have hypertension than those living in departments at the first quintile in the same year (OR: 1.56 and 1.48, respectively). For men, no associations of income inequality with either systolic blood pressure or hypertension were observed. Our findings are consistent with the hypothesis that income inequality is associated with increased risk of high blood pressure for women. Future studies to analyze pathways linking income inequality to high blood pressure in Colombia are needed.

Pulse design for multilevel systems by utilizing Lie transforms

Science.gov (United States)

Kang, Yi-Hao; Chen, Ye-Hong; Shi, Zhi-Cheng; Huang, Bi-Hua; Song, Jie; Xia, Yan

2018-03-01

We put forward a scheme to design pulses to manipulate multilevel systems with Lie transforms. A formula to reverse construct a control Hamiltonian is given and is applied in pulse design in the three- and four-level systems as examples. To demonstrate the validity of the scheme, we perform numerical simulations, which show the population transfers for cascaded three-level and N -type four-level Rydberg atoms can be completed successfully with high fidelities. Therefore, the scheme may benefit quantum information tasks based on multilevel systems.

Harmonic elimination technique for a single-phase multilevel converter with unequal DC link voltage levels

DEFF Research Database (Denmark)

Ghasemi, N.; Zare, F.; Boora, A.A.

2012-01-01

Multilevel converters, because of the benefits they attract in generating high quality output voltage, are used in several applications. Various modulation and control techniques are introduced by several researchers to control the output voltage of the multilevel converters like space vector...... modulation and harmonic elimination (HE) methods. Multilevel converters may have a DC link with equal or unequal DC voltages. In this study a new HE technique based on the HE method is proposed for multilevel converters with unequal DC link voltage. The DC link voltage levels are considered as additional...

The Emergence of City Logistics

DEFF Research Database (Denmark)

Gammelgaard, Britta

2015-01-01

is therefore to increase understanding of how city logistics emerge, and secondarily, to investigate whether such processes can be managed at all. Design/methodology/approach: – A paradigm shift in urban planning creates new ways of involving stakeholders in new sustainability measures such as city logistics...... dialectic forces were at play. City logistics schemes are still in an innovation phase. The biggest challenge in managing a process toward city logistics is to convince the many public and private stakeholders of their mutual interest and goals. Research limitations/implications: – Urban goods transport...... city logistics projects may fail. Thereby, cities become more environmentally and socially sustainable. Originality/value: – Insights into a city logistics project from a change management perspective has not previously been reported in literature....

Multilevel (mental) health promotion as social innovation in peripheral areas of Denmark

DEFF Research Database (Denmark)

Delica, Kristian Nagel

, bureaucratic level over the front line welfare professionals’ practices to the young mother’s experiences. The paper aligns a multilevel approach to theories of social innovation. This forms a fundament for discussing ‘horizontal’ and ‘vertical’ multilevel health promotion and analysing the interwoven...

Cost-utility analysis of minimally invasive versus open multilevel hemilaminectomy for lumbar stenosis.

Science.gov (United States)

Parker, Scott L; Adogwa, Owoicho; Davis, Brandon J; Fulchiero, Erin; Aaronson, Oran; Cheng, Joseph; Devin, Clinton J; McGirt, Matthew J

2013-02-01

Two-year cost-utility study comparing minimally invasive (MIS) versus open multilevel hemilaminectomy in patients with degenerative lumbar spinal stenosis. The objective of the study was to determine whether MIS versus open multilevel hemilaminectomy for degenerative lumbar spinal stenosis is a cost-effective advancement in lumbar decompression surgery. MIS-multilevel hemilaminectomy for degenerative lumbar spinal stenosis allows for effective treatment of back and leg pain while theoretically minimizing blood loss, tissue injury, and postoperative recovery. No studies have evaluated comprehensive healthcare costs associated with multilevel hemilaminectomy procedures, nor assessed cost-effectiveness of MIS versus open multilevel hemilaminectomy. Fifty-four consecutive patients with lumbar stenosis undergoing multilevel hemilaminectomy through an MIS paramedian tubular approach (n=27) versus midline open approach (n=27) were included. Total back-related medical resource utilization, missed work, and health state values [quality adjusted life years (QALYs), calculated from EuroQuol-5D with US valuation] were assessed after 2-year follow-up. Two-year resource use was multiplied by unit costs based on Medicare national allowable payment amounts (direct cost) and work-day losses were multiplied by the self-reported gross-of-tax wage rate (indirect cost). Difference in mean total cost per QALY gained for MIS versus open hemilaminectomy was assessed as incremental cost-effectiveness ratio (ICER: COST(MIS)-COST(OPEN)/QALY(MIS)-QALY(OPEN)). MIS versus open cohorts were similar at baseline. MIS and open hemilaminectomy were associated with an equivalent cumulative gain of 0.72 QALYs 2 years after surgery. Mean direct medical costs, indirect societal costs, and total 2-year cost ($23,109 vs. $25,420; P=0.21) were similar between MIS and open hemilaminectomy. MIS versus open approach was associated with similar total costs and utility, making it a cost equivalent technology

On the Multilevel Nature of Meta-Analysis: A Tutorial, Comparison of Software Programs, and Discussion of Analytic Choices.

Science.gov (United States)

Pastor, Dena A; Lazowski, Rory A

2018-01-01

The term "multilevel meta-analysis" is encountered not only in applied research studies, but in multilevel resources comparing traditional meta-analysis to multilevel meta-analysis. In this tutorial, we argue that the term "multilevel meta-analysis" is redundant since all meta-analysis can be formulated as a special kind of multilevel model. To clarify the multilevel nature of meta-analysis the four standard meta-analytic models are presented using multilevel equations and fit to an example data set using four software programs: two specific to meta-analysis (metafor in R and SPSS macros) and two specific to multilevel modeling (PROC MIXED in SAS and HLM). The same parameter estimates are obtained across programs underscoring that all meta-analyses are multilevel in nature. Despite the equivalent results, not all software programs are alike and differences are noted in the output provided and estimators available. This tutorial also recasts distinctions made in the literature between traditional and multilevel meta-analysis as differences between meta-analytic choices, not between meta-analytic models, and provides guidance to inform choices in estimators, significance tests, moderator analyses, and modeling sequence. The extent to which the software programs allow flexibility with respect to these decisions is noted, with metafor emerging as the most favorable program reviewed.

The effect of source herd and abattoir factors on pig carcass Salmonella contamination evaluated by multilevel modelling

DEFF Research Database (Denmark)

Baptista, Filipa Matos; Dahl, Jan; Nielsen, Liza Rosenbaum

2010-01-01

In Denmark, a Surveillance-and-Control Programme for Salmonella in pigs has been in place for several years. This study investigated factors associated with Salmonella pig carcass contamination, namely estimated daily number of Salmonella seropositive pigs delivered to slaughter, average Salmonella...... seroprevalence of the source herds that delivered each of five pigs contributing to the pool, weekday, year, season and abattoir size. A total of 20128 pooled carcass swabs collected in 22 Danish abattoirs, from 2002 to 2008, were included in a multilevel logistic regression model. Study results indicate...... that the probability of Salmonella positive carcasses is mainly influenced by the Salmonella herd seroprevalence of the swabbed pigs, the number of seropositive pigs delivered to the abattoir on the same day and weekday. Further reduction in carcass pool Salmonella prevalence may require new or improved methods...

The use of instruments of logistics and marketing in transport enterprises in lubuskie voivodeship

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Agnieszka Perzyńska

2016-09-01

Full Text Available Background: The aim of the article is to verify the logistics and marketing instruments used in transport enterprises in Lubuskie voivodeship. The article presents the results of surveys of transport companies. Based on these studies in transport enterprises in Lubuskie, the current level of the use of logistics and marketing instruments was determined. Logistics and marketing instruments were separated to study the needs of transport companies in Lubuskie voivodeship. The choice of these instruments gave rise to a study f the possibility of using them in the implementation of business operations. From the findings it can be inferred that they are useful for the voivodeship, and that such a system can be implemented in the whole country. Methods: The study was conducted in the second half of 2014 and 140 transport enterprises in Lubuskie. Based on the research results, classifications of instruments were developed using logistics and marketing division at their levels. Results: On the basis of these findings and observations, the authors have analysed the levels of identification instruments, logistics and marketing. On this basis, it was possible to identify the instruments used by logistics and marketing in these companies. Conclusions: Based on the study of transport companies in Lubuskie voivodeship, a selection of logistics and marketing instruments were identified, along with a classification of the logistics and marketing instruments used. With the implementation of the above steps to classify the usage level of logistics and marketing instruments, the ability to match these levels to data transport companies was established.

The multi-level perspective analysis: Indonesia geothermal energy transition study

Science.gov (United States)

Wisaksono, A.; Murphy, J.; Sharp, J. H.; Younger, P. L.

2018-01-01

The study adopts a multi-level perspective in technology transition to analyse how the transition process in the development of geothermal energy in Indonesia is able to compete against the incumbent fossil-fuelled energy sources. Three levels of multi-level perspective are socio-technical landscape (ST-landscape), socio-technical regime (ST-regime) and niche innovations in Indonesia geothermal development. The identification, mapping and analysis of the dynamic relationship between each level are the important pillars of the multi-level perspective framework. The analysis considers the set of rules, actors and controversies that may arise in the technological transition process. The identified geothermal resource risks are the basis of the emerging geothermal technological innovations in Indonesian geothermal. The analysis of this study reveals the transition pathway, which yields a forecast for the Indonesian geothermal technology transition in the form of scenarios and probable impacts.

Multi-stage decoding of multi-level modulation codes

Science.gov (United States)

Lin, Shu; Kasami, Tadao; Costello, Daniel J., Jr.

1991-01-01

Various types of multi-stage decoding for multi-level modulation codes are investigated. It is shown that if the component codes of a multi-level modulation code and types of decoding at various stages are chosen properly, high spectral efficiency and large coding gain can be achieved with reduced decoding complexity. Particularly, it is shown that the difference in performance between the suboptimum multi-stage soft-decision maximum likelihood decoding of a modulation code and the single-stage optimum soft-decision decoding of the code is very small, only a fraction of dB loss in signal to noise ratio at a bit error rate (BER) of 10(exp -6).

Minimum Wage and Overweight and Obesity in Adult Women: A Multilevel Analysis of Low and Middle Income Countries.

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Annalijn I Conklin

Full Text Available To describe the relationship between minimum wage and overweight and obesity across countries at different levels of development.A cross-sectional analysis of 27 countries with data on the legislated minimum wage level linked to socio-demographic and anthropometry data of non-pregnant 190,892 adult women (24-49 y from the Demographic and Health Survey. We used multilevel logistic regression models to condition on country- and individual-level potential confounders, and post-estimation of average marginal effects to calculate the adjusted prevalence difference.We found the association between minimum wage and overweight/obesity was independent of individual-level SES and confounders, and showed a reversed pattern by country development stage. The adjusted overweight/obesity prevalence difference in low-income countries was an average increase of about 0.1 percentage points (PD 0.075 [0.065, 0.084], and an average decrease of 0.01 percentage points in middle-income countries (PD -0.014 [-0.019, -0.009]. The adjusted obesity prevalence difference in low-income countries was an average increase of 0.03 percentage points (PD 0.032 [0.021, 0.042] and an average decrease of 0.03 percentage points in middle-income countries (PD -0.032 [-0.036, -0.027].This is among the first studies to examine the potential impact of improved wages on an important precursor of non-communicable diseases globally. Among countries with a modest level of economic development, higher minimum wage was associated with lower levels of obesity.

Urban-rural differences in adolescent eating behaviour: a multilevel cross-sectional study of 15-year-olds in Scotland.

Science.gov (United States)

Levin, Kate A

2014-08-01

Improving the diet of the Scottish population has been a government focus in recent years. Population health is known to vary between geographies; therefore alongside trends and socio-economic inequalities in eating behaviour, geographic differences should also be monitored. Eating behaviour data from the 2010 Scotland Health Behaviour in School-aged Children survey were modelled using multilevel linear and logistic modelling. Data were collected in schools across urban and rural Scotland. Schoolchildren aged 15 years. Adolescents living in remote rural Scotland had the highest consumption frequency of vegetables (on average consumed on 6·68 d/week) and the lowest consumption frequency of sweets and crisps (on 4·27 and 3·02 d/week, respectively). However, it was not in the major four cities of Scotland (Glasgow, Edinburgh, Dundee and Aberdeen) but in the geography described by the classification 'other urban' areas (large towns of between 10 000 and 125 000 residents) that adolescents had the poorest diet. Deprivation and rurality were independently associated with food consumption for all but fruit consumption. Sharing a family meal, dieting behaviour, food poverty and breakfast consumption did not differ by rurality. Variance at the school level was significant for fruit and vegetable consumption frequencies and for irregular breakfast consumption, regardless of rurality. Young people from rural areas have a healthier diet than those living in urban areas. The eating behaviours examined did not explain these differences. Future research should investigate why urban-rural differences exist for consumption frequencies of 'healthy' and 'unhealthy' foods.

The Logistics Knowledge Portal: Gateway to More Individualized Learning in Logistics.

Science.gov (United States)

Neumann, Gaby; Krzyzaniak, Stanislaw; Lassen, Carl Christian

This paper describes a research and development project initiated by a network of European logistics educators to promote all types, forms, and levels of logistics education by benefiting from the educational potential of multimedia/hypermedia as well as information technology and telecommunications. The main outcome of this project will be a…

IMPROVING MARKETING LOGISTICS MANAGEMENT OF ENTERPRISES OF AGRO-INDUSTRIAL COMPLEX

OpenAIRE

Raisa Bilovol; Alina Chaikina

2016-01-01

The Purpose of the paper is to prove the need of improving marketing logistics management at enterprises of agro-industrial complex with the use of balanced scorecard method that will allow objectively evaluate its effectiveness. Methodology. The survey is based on the use of general scientific research methods, methods of analysis and synthesis, method of abstraction. Results. Research of state sales of agricultural products in agrarian enterprises helped us to identify and organize the foll...

Social capital and dental pain in Brazilian northeast: a multilevel cross-sectional study

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Santiago Bianca Marques

2013-01-01

Full Text Available Abstract Background There is limited evidence on possible associations between social determinants and dental pain. This study investigated the relationship of neighborhood and individual social capital with dental pain in adolescents, adults and the elderly. Methods A population-based multilevel study was conducted involving 624 subjects from 3 age groups: 15–19, 35–44 and 65–74 years. They were randomly selected from 30 census tracts in three cities in the State of Paraíba, Brazil. A two-stage cluster sampling was used considering census tracts and households as sampling units. The outcome of study was the presence of dental pain in the last 6 months. Information on dental pain, demographic, socio-economic, health-related behaviors, use of dental services, self-perceived oral health and social capital measures was collected through interviews. Participants underwent a clinical examination for assessment of dental caries. Neighborhood social capital was evaluated using aggregated measures of social trust, social control, empowerment, political efficacy and neighborhood safety. Individual social capital assessment included bonding and bridging social capital. Multilevel logistic regression was used to test the relationship of neighborhood and individual social capital with dental pain after sequential adjustment for covariates. Results Individuals living in neighborhoods with high social capital were 52% less likely to report dental pain than those living in neighborhoods with low social capital (OR = 0.48, 95% CI = 0.27-0.85. Bonding social capital (positive interaction was independently associated with dental pain (OR = 0.88, 95% CI = 0.80-0.91. Last dental visit, self-perceived oral health and number of decayed teeth were also significantly associated with dental pain. Conclusions Our findings suggest that contextual and individual social capital are independently associated with dental pain.

Adolescents' utilisation of psychiatric care, neighbourhoods and neighbourhood socioeconomic deprivation: a multilevel analysis.

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Anna-Karin Ivert

Full Text Available Mental health problems among adolescents have become a major public health issue, and it is therefore important to increase knowledge on the contextual determinants of adolescent mental health. One such determinant is the socioeconomic structure of the neighbourhood. The present study has two central objectives, (i to examine if neighbourhood socioeconomic deprivation is associated to individual variations in utilisation of psychiatric care in a Swedish context, and (ii to investigate if neighbourhood boundaries are a valid construct for identifying contexts that influence individual variations in psychiatric care utilization. Data were obtained from the Longitudinal Multilevel Analysis in Scania (LOMAS database. The study population consists of all boys and girls aged 13-18 years (N=18,417, who were living in the city of Malmö, Sweden, in 2005. Multilevel logistic regression analysis was applied to estimate the probability of psychiatric care utilisation. The results from the study indicate that the neighbourhood of residence had little influence on psychiatric care utilisation. Although we initially found a variation between neighbourhoods, this general contextual effect was very small (i.e. 1.6%. The initial conclusive association between the neighbourhood level of disadvantage and psychiatric care utilisation (specific contextual effect disappeared following adjustment for individual and family level variables. Our results suggest the neighbourhoods in Malmö (at least measured in terms of SAMS-areas, do not provide accurate information for discriminating adolescents utilisation of psychiatric care. The SAMS-areas appears to be an inappropriate construct of the social environment that influences adolescent utilisation of psychiatric care. Therefore, public health interventions should be directed to the whole city rather than to specific neighbourhoods. However, since geographical, social or cultural contexts may be important for our

Logistics Management: New trends in the Reverse Logistics

Science.gov (United States)

Antonyová, A.; Antony, P.; Soewito, B.

2016-04-01

Present level and quality of the environment are directly dependent on our access to natural resources, as well as their sustainability. In particular production activities and phenomena associated with it have a direct impact on the future of our planet. Recycling process, which in large enterprises often becomes an important and integral part of the production program, is usually in small and medium-sized enterprises problematic. We can specify a few factors, which have direct impact on the development and successful application of the effective reverse logistics system. Find the ways to economically acceptable model of reverse logistics, focusing on converting waste materials for renewable energy, is the task in progress.

REGIONAL LOGISTICS CENTER: FORMATION AND FUNCTIONING SPESIFIC

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Oleg Tkach

2017-08-01

Full Text Available In this article the essence of the definition of logistics centers is defined, the main provisions concerning the formation of the logistics center are defined. The formation of a logistic hub is analyzed. The structure of the transport-logistic center is proposed. The basic requirements for the location of the regional logistics center and the principles of its operation are determined. The financial and financial mechanism of a typical logistics center and their effective functioning are presented. It is proved that the most important component of the logistics center is transport. Key words: logistics centers, logistics, hub, distribution centers, transport and logistics centers, regional logistic centers, logistics complex, transport, transport-logistic system.

Logistics innovation development

DEFF Research Database (Denmark)

Pedrosa, Alex; Blazevic, Vera; Jasmand, Claudia

2014-01-01

to investigate the role of boundary-spanning employees in deepening and broadening customer knowledge while developing logistics service innovations. Findings The results show that boundary-spanning employees’ engage sequentially in deepening and broadening customer knowledge throughout the logistics innovation...... development process. In particular it shows that deepening customer knowledge tends to occur in one-to-one interactions. When boundary-spanning employees engage in broadening customer knowledge, they develop a rich understanding of current customer. Research limitations/implications (if applicable) In general......Purpose This paper aims to investigate the microfoundations—boundary-spanning employees activities and behaviors—of deepening and broadening customer knowledge during logistics innovation development. Design/methodology/approach A multiple case study approach (six case studies) was adopted...

Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

NARCIS (Netherlands)

N.A. Lang (Niels); J.M. Moonen (Hans); F.J. Srour (Jordan); R.A. Zuidwijk (Rob)

2008-01-01

textabstractBased on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?” Today’s requirements in supply chains include

Political Regimes, Political Ideology, and Self-Rated Health in Europe: A Multilevel Analysis

Science.gov (United States)

Huijts, Tim; Perkins, Jessica M.; Subramanian, S. V.

2010-01-01

Background Studies on political ideology and health have found associations between individual ideology and health as well as between ecological measures of political ideology and health. Individual ideology and aggregate measures such as political regimes, however, were never examined simultaneously. Methodology/Principal Findings Using adjusted logistic multilevel models to analyze data on individuals from 29 European countries and Israel, we found that individual ideology and political regime are independently associated with self-rated health. Individuals with rightwing ideologies report better health than leftwing individuals. Respondents from Eastern Europe and former Soviet republics report poorer health than individuals from social democratic, liberal, Christian conservative, and former Mediterranean dictatorship countries. In contrast to individual ideology and political regimes, country level aggregations of individual ideology are not related to reporting poor health. Conclusions/Significance This study shows that although both individual political ideology and contextual political regime are independently associated with individuals' self-rated health, individual political ideology appears to be more strongly associated with self-rated health than political regime. PMID:20661433

Validation of Multilevel Constructs: Validation Methods and Empirical Findings for the EDI

Science.gov (United States)

Forer, Barry; Zumbo, Bruno D.

2011-01-01

The purposes of this paper are to highlight the foundations of multilevel construct validation, describe two methodological approaches and associated analytic techniques, and then apply these approaches and techniques to the multilevel construct validation of a widely-used school readiness measure called the Early Development Instrument (EDI;…

Koncept razvoja službi logistike / Concept development of logistic services

Directory of Open Access Journals (Sweden)

Marko D. Andrejić

2010-10-01

recommendations for intellectual thinking, development and operational activities and contributing to the gradual formation of a unified understanding of the logistic system of defense. When considering the directions of the development of logistics services, certain analogy will be applied as in other successful, complex multilevel, organizational and economic systems. The existence of long-term concepts of development, with a built-in organizational aspect, is something that will be asked from competent control and decision-makers. In this paper, certain aspects and segments of the development of the logistics process will be discussed with a high degree of generalization, by relying on authors' experience and research as well as on available sources of knowledge. The aforementioned approach allows for a greater generalalisation of the given views; on the other hand, it can get in strength (the depth and accuracy if validly operationalised in each logistic service, in each particular element or case. Defense as a function of the state Each and every state has an undisputable right on individual and collective defense. Defense is an important state function for the realization of which the government (legislative, executive and judicial is responsible. The defense of the state is the general necessity, right and obligation of all defense and security subjects. No one can be exempt from the efforts necessary for successful defense; therefore, all resources (regardless of property within the state's territory, under certain conditions, become defensive potential and the defense function of the country, according to their nature and needs of the country's defense. Defense logistics Besides the well-trained personnel, the logistic system of a country comprises appropriate legislation, appropriate production and services, equipment, raw materials, energy sources, infrastructure and all other necessary support for the realization of corresponding production, service, social

Multilevel Multi-Informant Structure of the Authoritative School Climate Survey

Science.gov (United States)

Konold, Timothy; Cornell, Dewey; Huang, Francis; Meyer, Patrick; Lacey, Anna; Nekvasil, Erin; Heilbrun, Anna; Shukla, Kathan

2014-01-01

The Authoritative School Climate Survey was designed to provide schools with a brief assessment of 2 key characteristics of school climate--disciplinary structure and student support--that are hypothesized to influence 2 important school climate outcomes--student engagement and prevalence of teasing and bullying in school. The factor structure of…

Measuring efficiency in logistics

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Milan Milovan Andrejić

2013-06-01

Full Text Available Dynamic market and environmental changes greatly affect operating of logistics systems. Logistics systems have to realize their activities and processes in an efficient way. The main objective of this paper is to analyze different aspects of efficiency measurement in logistics and to propose appropriate models of measurement. Measuring efficiency in logistics is a complex process that requires consideration of all subsystems, processes and activities as well as the impact of various financial, operational, environmental, quality and other factors. The proposed models have a basis in the Data Envelopment Analysis method. They could help managers in decision making and corrective actions processes. The tests and results of the model show the importance of input and output variables selection.

Analysing the effect of area of residence over the life course in multilevel epidemiology.

Science.gov (United States)

Naess, Oyvind; Leyland, Alastair H

2010-11-01

In this paper we present multilevel models of individuals' residential history at multiple time points through the life course and their application and discuss some advantages and disadvantages for their use in epidemiological studies. Literature review of research using longitudinal multilevel models in studies of neighbourhood effects, statistical multilevel models that take individuals' residential history into account, and the application of these models in the Oslo mortality study. Measures of variance have been used to investigate the contextual impact of membership to collectives, such as area of residence, at several time points. The few longitudinal multilevel models that have been used suggest that early life area of residence may have an effect on mortality independently of residence later in life although the proportion of variation attributable to area level is small compared to individual level. The following multilevel models have been developed: simple multilevel models for each year separately, a multiple membership model, a cross-classified model, and finally a correlated cross-classified model. These models have different assumptions regarding the timing of influence through the life course. To fully recognise the origin of adult chronic diseases, factors at all stages of the life course at both individual and area level needs to be considered in order to avoid biased estimates. Important challenges in making life course residential data available for research and assessing how changing administrative coding over time reflect contextual impact need to be overcome before these models can be implemented as normal practice in multilevel epidemiology.

International Production and Global Logistics Operations : Management Issues in Global Logistics with Offshored Production Systems

OpenAIRE

Korrmann, Franziska

2011-01-01

This paper is directed at discussing some of the management issues, problems and solutions of logistics in the context of offshored productive activities The introduction includes a discussion of the logistics topics and an introduction of the economic logic of offshoring. The main part analyses the logistics topics with regard to the internationally fragmented production. The topics of logistics include: Information flow and integration, transportation, inventory management, warehousing and ...

Opportunities and Threats for City Logistics Development from a Local Authority Perspective

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Maja Kiba-Janiak

2017-04-01

Full Text Available Aim/purpose - The main purpose of the paper is the identification of opportunities and threats for city logistics development from a local authority perspective. Design/methodology/approach - The paper presents the original results of surveys conducted among city logistics experts from all over the world and among representa- tives of twelve EU capital cities. Findings - According to the study the most important opportunities for cities are stakeholders' willingness for cooperation, as well as a good and long cooperation with them. It shows that a local authority cannot introduce any solutions in the field of city logistics without cooperating with other stakeholders. Therefore, the lack of cooperation can be a threat. The other threat highlighted by the majority of studied cities is the lack of standards on data collections. Without information in real time on problems and activities undertaken by various stakeholders in the field of city logistics it is very difficult for strategic and tactical decisions to be made by a local authority. Research implications/limitations - The most significant limitation of the research was the sample of respondents. Despite the fact that the questionnaire was sent to 28 EU capital cites only 12 out of them have completed and returned the questionnaire. A further problem arises from the lack of standards on collecting information on city logistics by cities. As a result of it many European cities do not collect this information or do it in a fragmentary way. Originality/value/contribution - The research results introduced in the paper make a contribution to the theoretical and practical knowledge on city logistics development. It fills the gap related to the external factors affecting the development of city logistics. The author's concept of the framework for city logistics development with the inclusion of threats and opportunities and the set of questions can be a useful tool for local authorities as well as

Passive Suicide Ideation Among Older Adults in Europe: A Multilevel Regression Analysis of Individual and Societal Determinants in 12 Countries (SHARE).

Science.gov (United States)

Stolz, Erwin; Fux, Beat; Mayerl, Hannes; Rásky, Éva; Freidl, Wolfgang

2016-09-01

Passive suicide ideation (PSI) is common among older adults, but prevalences have been reported to vary considerably across European countries. The goal of this study was to assess the role of individual-level risk factors and societal contextual factors associated with PSI in old age. We analyzed longitudinal data from the Survey of Health, Ageing, and Retirement in Europe (SHARE) on 6,791 community-dwelling respondents (75+) from 12 countries. Bayesian logistic multilevel regression models were used to assess variance components, individual-level and country-level risk factors. About 4% of the total variance of PSI was located at the country level, a third of which was attributable to compositional effects of individual-level predictors. Predictors for the development of PSI at the individual level were female gender, depression, older age, poor health, smaller social network size, loneliness, nonreligiosity, and low perceived control (R (2) = 25.8%). At the country level, cultural acceptance of suicide, religiosity, and intergenerational cohabitation were associated with the rates of PSI. Cross-national variation in old-age PSI is mostly attributable to individual-level determinants and compositional differences, but there is also evidence for contextual effects of country-level characteristics. Suicide prevention programs should be intensified in high-risk countries and attitudes toward suicide should be addressed in information campaigns. © The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Reciprocity and depressive symptoms in Belgian workers: a cross-sectional multilevel analysis.

Science.gov (United States)

De Clercq, Bart; Clays, Els; Janssens, Heidi; De Bacquer, Dirk; Casini, Annalisa; Kittel, France; Braeckman, Lutgart

2013-07-01

This study examines the multidimensional association between reciprocity at work and depressive symptoms. Data from the Belgian BELSTRESS survey (32 companies; N = 24,402) were analyzed. Multilevel statistical procedures were used to account for company-level associations while controlling for individual-level associations. Different dimensions of individual reciprocity were negatively associated with depressive symptoms. On the company level, only vertical emotional reciprocity was negatively associated (β = -4.660; SE = 1.117) independently from individual reciprocity (β = -0.557; SE = 0.042). Complex interactions were found such that workplace reciprocity (1) may not uniformly benefit individuals and (2) related differently to depressive symptoms, depending on occupational group. This study extends the existing literature with evidence on the multidimensional, contextual, and cross-level interaction associations of reciprocity as a key aspect of social capital on depressive symptoms.

Logistic Fuel Processor Development

National Research Council Canada - National Science Library

Salavani, Reza

2004-01-01

The Air Base Technologies Division of the Air Force Research Laboratory has developed a logistic fuel processor that removes the sulfur content of the fuel and in the process converts logistic fuel...

MULTILEVEL SYNCRETISM AND THE EVOLUTION OF ...

African Journals Online (AJOL)

MULTILEVEL SYNCRETISM AND THE EVOLUTION OF AFRIKAANS. PERIPHRASTIC POSSESSIVES WITH SE. Paul T. Roberge. University or North Carolina, Chapel ..... van hem ook een bees gestoole ben ook drie volk !lli!. spoor en ook ben daar bij Bester een velds waage uijt gespanne gewees heef zulle de man zijn ...

Adjusting to Social Change - A Multi-Level Analysis in Three Cultures

Science.gov (United States)

2013-08-01

example, coping may be more collective in collectivist , compared to individualist , societies (Chang & Sivam, 2004). Some cultures have a greater sense...AFRL-AFOSR-UK-TR-2013-0041 Adjusting to Social Change - A multi-level Analysis in three cultures Prof Robin Goodwin...COVERED (From – To) 23 May 2012 – 22 May 2013 4. TITLE AND SUBTITLE Adjusting to Social Change - A multi-level Analysis in three cultures

Space vector-based modeling and control of a modular multilevel converter in HVDC applications

DEFF Research Database (Denmark)

Bonavoglia, M.; Casadei, G.; Zarri, L.

2013-01-01

Modular multilevel converter (MMC) is an emerging multilevel topology for high-voltage applications that has been developed in recent years. In this paper, the modeling and the control of MMCs are restated in terms of space vectors, which may allow a deeper understanding of the converter behavior....... As a result, a control scheme for three-phase MMCs based on the previous theoretical analysis is presented. Numerical simulations are used to test its feasibility.......Modular multilevel converter (MMC) is an emerging multilevel topology for high-voltage applications that has been developed in recent years. In this paper, the modeling and the control of MMCs are restated in terms of space vectors, which may allow a deeper understanding of the converter behavior...

The Importance of Systems for Controlling Logistics Costs in the Supply Chain: A Case Study from the Slovenian Automotive Industry

Directory of Open Access Journals (Sweden)

Sebastjan Škerlič

2016-06-01

Full Text Available Participating in the automotive industry brings new responsibilities for suppliers who, in order to meet customer demands, must strive towards improving business processes, while at the same time reducing costs. These demands can disrupt the operations of companies that do not have a system for controlling logistics costs. On the other hand, customer demands can be the cause of other types of disruptions in companies that have such a system in place, stemming from an excessive focus on cost reduction. To tackle this problem, a survey was conducted on a sample of 30 Slovenian companies that operate as suppliers in the automotive industry. Its objective was to determine how different customer demands along the supply chain can affect the business processes of suppliers and the level of logistics costs. The survey revealed that companies that use a system for controlling logistics costs experience fewer disruptions in their business processes in their efforts to satisfy customer demands. These companies also display a higher level of integration of business processes and use a different approach when dealing with the various participants of the supply chain. The survey also sets clear participation guidelines for suppliers in the supply chain of the automotive industry and points out how companies can benefit from using a system for controlling logistics costs in other ways, aside from the cost controlling aspect.

The Emergence of City Logistics

DEFF Research Database (Denmark)

Gammelgaard, Britta; Aastrup, Jesper

2014-01-01

Purpose: Many city logistics projects in Europe have failed. The purpose of this article is to increase understanding of how city logistics emerge. A better understanding of the complex organizational processes with many actors and stakeholders in city logistics projects may prevent further failu...

Logistics, electronic commerce, and the environment

Science.gov (United States)

Sarkis, Joseph; Meade, Laura; Talluri, Srinivas

2002-02-01

Organizations realize that a strong supporting logistics or electronic logistics (e-logistics) function is important from both commercial and consumer perspectives. The implications of e-logistics models and practices cover the forward and reverse logistics functions of organizations. They also have direct and profound impact on the natural environment. This paper will focus on a discussion of forward and reverse e-logistics and their relationship to the natural environment. After discussion of the many pertinent issues in these areas, directions of practice and implications for study and research are then described.

Contextual and individual factors associated with dental services utilisation by Brazilian adults: A multilevel analysis.

Science.gov (United States)

Herkrath, Fernando José; Vettore, Mario Vianna; Werneck, Guilherme Loureiro

2018-01-01

Inequalities in the utilisation of dental services in Brazil are remarkable. The aim of this study was to evaluate the association of contextual and individual factors with the utilisation of dental services by Brazilian adults using the Andersen's behavioural model. Individual-level data from 27,017 adults residents in the State capitals who were interviewed in the 2013 Brazilian National Health Survey were pooled with contextual city-level data. The outcomes were non-utilisation of dental services and last dental visit over 12 months ago. Individual predisposing variables were age, sex, race/skin colour, schooling and social network. Individual enabling variables included income, health insurance and registration in primary health care. Individual need variables were self-perceived dental health and self-reported missing teeth. Multilevel logistic regression models were performed to estimate odds ratio (OR) and 95% confidence intervals (95% CIs) of the association of contextual and individual predisposing, enabling and need-related variables with dental services outcomes. Predisposing (OR = 0.89; 95% CI 0.81-0.97) and enabling (OR = 0.90; 95% CI 0.85-0.96) contextual factors were associated with non-utilisation of dental services. Individual predisposing (sex, race/skin colour, schooling), enabling (income, health insurance) and need (self-perceived oral health, missing teeth) were associated with non-utilisation of dental services and last dental visit over 12 months ago. The latter was also associated with other individual predisposing (age, social network) and need (eating difficulties due to oral problems) characteristics. Individual and contextual determinants influenced dental services utilisation in Brazilian adults. These factors should be on the policy agenda and considered in the organisation of health services aiming to reduce oral health inequalities related to access and utilisation of dental services.

Area-level income inequality and oral health among Australian adults-A population-based multilevel study.

Science.gov (United States)

Singh, Ankur; Harford, Jane; Antunes, José Leopoldo Ferreira; Peres, Marco A

2018-01-01

A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and inadequate dentition is likely due to the contextual differences between Australia and other high-income countries.

Area-level income inequality and oral health among Australian adults—A population-based multilevel study

Science.gov (United States)

2018-01-01

Background A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. Methods For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. Results LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Conclusion Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and inadequate dentition is likely due to the contextual differences between Australia

Area-level income inequality and oral health among Australian adults-A population-based multilevel study.

Directory of Open Access Journals (Sweden)

Ankur Singh

Full Text Available A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (<21 teeth and poor self-rated oral health among Australian adults. Variations in the association between area-level income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared.For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income.LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87 after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality.Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income

A Study on Reverse Logistics

OpenAIRE

Reddy, Dhananjaya

2011-01-01

In the competitive world of manufacturing, companies are often searching for new ways to improve their process, customer satisfaction and stay ahead in the game with their competitors. Reverse logistics has been considered a strategy to bring these things to life for the past decade or so. This thesis work tries to shed some light on the basics of reverse logistics and how reverse logistics can be used as a management strategy. This paper points out the fundamentals of reverse logistics and l...

A multilevel model of organizational health culture and the effectiveness of health promotion.

Science.gov (United States)

Lin, Yea-Wen; Lin, Yueh-Ysen

2014-01-01

Organizational health culture is a health-oriented core characteristic of the organization that is shared by all members. It is effective in regulating health-related behavior for employees and could therefore influence the effectiveness of health promotion efforts among organizations and employees. This study applied a multilevel analysis to verify the effects of organizational health culture on the organizational and individual effectiveness of health promotion. At the organizational level, we investigated the effect of organizational health culture on the organizational effectiveness of health promotion. At the individual level, we adopted a cross-level analysis to determine if organizational health culture affects employee effectiveness through the mediating effect of employee health behavior. The study setting consisted of the workplaces of various enterprises. We selected 54 enterprises in Taiwan and surveyed 20 full-time employees from each organization, for a total sample of 1011 employees. We developed the Organizational Health Culture Scale to measure employee perceptions and aggregated the individual data to formulate organization-level data. Organizational effectiveness of health promotion included four dimensions: planning effectiveness, production, outcome, and quality, which were measured by scale or objective indicators. The Health Promotion Lifestyle Scale was adopted for the measurement of health behavior. Employee effectiveness was measured subjectively in three dimensions: self-evaluated performance, altruism, and happiness. Following the calculation of descriptive statistics, hierarchical linear modeling (HLM) was used to test the multilevel hypotheses. Organizational health culture had a significant effect on the planning effectiveness (β = .356, p production (β = .359, p promotion. In addition, results of cross-level moderating effect analysis by HLM demonstrated that the effects of organizational health culture on three dimensions of

Logistics-production, logistics-marketing and external integration: Their impact on performance

OpenAIRE

Giménez, Cristina; Ventura, Eva

2003-01-01

Highly competitive environments are leading companies to implement Supply Chain Management (SCM) to improve performance and gain a competitive advantage. SCM involves integration, co-ordination and collaboration across organisations and throughout the supply chain. It means that SCM requires internal (intraorganisational) and external (interorganisational) integration. This paper examines the Logistics-Production and Logistics- Marketing interfaces and their relation with the external integra...

REVERSE LOGISTICS OF PACKAGING AS A SUSTAINABLE STRATEGY FOR COST REDUCTION: A STUDY IN A BOTTLER BEVERAGES

Directory of Open Access Journals (Sweden)

Laryssa Guedes de Oliveira

2013-09-01

Full Text Available This paper aims to examine the possibility of reducing production costs with the implementation of a program of reverse logistics packaging. Therefore we conducted a literature review focusing on reverse logistics, sustainability, packaging and glass recycling. The research was conducted through a descriptive case study, conducted from a survey and a semi structured interview. The study was developed in a beverage bottler, the Engarrafamento Coroa, a company that adopts in its bottling system using bottles purchased from recycling cooperatives. The results indicate that by reverse logistics is possible to reduce costs and environmental impact associated with the pollution and waste of materials, and provides revenue generation.

Multilevel model of safety climate for furniture industries.

Science.gov (United States)

Rodrigues, Matilde A; Arezes, Pedro M; Leão, Celina P

2015-01-01

Furniture companies can analyze their safety status using quantitative measures. However, the data needed are not always available and the number of accidents is under-reported. Safety climate scales may be an alternative. However, there are no validated Portuguese scales that account for the specific attributes of the furniture sector. The current study aims to develop and validate an instrument that uses a multilevel structure to measure the safety climate of the Portuguese furniture industry. The Safety Climate in Wood Industries (SCWI) model was developed and applied to the safety climate analysis using three different scales: organizational, group and individual. A multilevel exploratory factor analysis was performed to analyze the factorial structure. The studied companies' safety conditions were also analyzed. Different factorial structures were found between and within levels. In general, the results show the presence of a group-level safety climate. The scores of safety climates are directly and positively related to companies' safety conditions; the organizational scale is the one that best reflects the actual safety conditions. The SCWI instrument allows for the identification of different safety climates in groups that comprise the same furniture company and it seems to reflect those groups' safety conditions. The study also demonstrates the need for a multilevel analysis of the studied instrument.

Cities, Europeanization and Multi-level Governance: Governing Climate Change through Transnational Municipal Networks

NARCIS (Netherlands)

Kern, K.; Bulkeley, H.

2009-01-01

This article focuses on a variant of multi-level governance and Europeanization, i.e. the transnational networking of local authorities. Focusing on local climate change policy, the article examines how transnational municipal networks (TMNs) govern in the context of multi-level European governance.

The Challenge of Moving from Performance Based Logistics to an Operational Logistics Framework

National Research Council Canada - National Science Library

Bryant, Russell E

2005-01-01

... and qualified forces for the combatant commanders of the 21st century. One focal area is within the logistics area of overall warfighter support, commonly referred to as performance based logistics (PBL...

The Extrapolation-Accelerated Multilevel Aggregation Method in PageRank Computation

Directory of Open Access Journals (Sweden)

Bing-Yuan Pu

2013-01-01

Full Text Available An accelerated multilevel aggregation method is presented for calculating the stationary probability vector of an irreducible stochastic matrix in PageRank computation, where the vector extrapolation method is its accelerator. We show how to periodically combine the extrapolation method together with the multilevel aggregation method on the finest level for speeding up the PageRank computation. Detailed numerical results are given to illustrate the behavior of this method, and comparisons with the typical methods are also made.

Multi-level methods and approximating distribution functions

International Nuclear Information System (INIS)

Wilson, D.; Baker, R. E.

2016-01-01

Biochemical reaction networks are often modelled using discrete-state, continuous-time Markov chains. System statistics of these Markov chains usually cannot be calculated analytically and therefore estimates must be generated via simulation techniques. There is a well documented class of simulation techniques known as exact stochastic simulation algorithms, an example of which is Gillespie’s direct method. These algorithms often come with high computational costs, therefore approximate stochastic simulation algorithms such as the tau-leap method are used. However, in order to minimise the bias in the estimates generated using them, a relatively small value of tau is needed, rendering the computational costs comparable to Gillespie’s direct method. The multi-level Monte Carlo method (Anderson and Higham, Multiscale Model. Simul. 10:146–179, 2012) provides a reduction in computational costs whilst minimising or even eliminating the bias in the estimates of system statistics. This is achieved by first crudely approximating required statistics with many sample paths of low accuracy. Then correction terms are added until a required level of accuracy is reached. Recent literature has primarily focussed on implementing the multi-level method efficiently to estimate a single system statistic. However, it is clearly also of interest to be able to approximate entire probability distributions of species counts. We present two novel methods that combine known techniques for distribution reconstruction with the multi-level method. We demonstrate the potential of our methods using a number of examples.

Multi-level methods and approximating distribution functions

Energy Technology Data Exchange (ETDEWEB)

Wilson, D., E-mail: daniel.wilson@dtc.ox.ac.uk; Baker, R. E. [Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG (United Kingdom)

2016-07-15

Biochemical reaction networks are often modelled using discrete-state, continuous-time Markov chains. System statistics of these Markov chains usually cannot be calculated analytically and therefore estimates must be generated via simulation techniques. There is a well documented class of simulation techniques known as exact stochastic simulation algorithms, an example of which is Gillespie’s direct method. These algorithms often come with high computational costs, therefore approximate stochastic simulation algorithms such as the tau-leap method are used. However, in order to minimise the bias in the estimates generated using them, a relatively small value of tau is needed, rendering the computational costs comparable to Gillespie’s direct method. The multi-level Monte Carlo method (Anderson and Higham, Multiscale Model. Simul. 10:146–179, 2012) provides a reduction in computational costs whilst minimising or even eliminating the bias in the estimates of system statistics. This is achieved by first crudely approximating required statistics with many sample paths of low accuracy. Then correction terms are added until a required level of accuracy is reached. Recent literature has primarily focussed on implementing the multi-level method efficiently to estimate a single system statistic. However, it is clearly also of interest to be able to approximate entire probability distributions of species counts. We present two novel methods that combine known techniques for distribution reconstruction with the multi-level method. We demonstrate the potential of our methods using a number of examples.

Single-Level and Multilevel Mediation Analysis

Science.gov (United States)

Tofighi, Davood; Thoemmes, Felix

2014-01-01

Mediation analysis is a statistical approach used to examine how the effect of an independent variable on an outcome is transmitted through an intervening variable (mediator). In this article, we provide a gentle introduction to single-level and multilevel mediation analyses. Using single-level data, we demonstrate an application of structural…

Workplace social capital and mental health among Chinese employees: a multi-level, cross-sectional study.

Science.gov (United States)

Gao, Junling; Weaver, Scott R; Dai, Junming; Jia, Yingnan; Liu, Xingdi; Jin, Kezhi; Fu, Hua

2014-01-01

Whereas the majority of previous research on social capital and health has been on residential neighborhoods and communities, the evidence remains sparse on workplace social capital. To address this gap in the literature, we examined the association between workplace social capital and health status among Chinese employees in a large, multi-level, cross-sectional study. By employing a two-stage stratified random sampling procedure, 2,796 employees were identified from 35 workplaces in Shanghai during March to November 2012. Workplace social capital was assessed using a validated and psychometrically tested eight-item measure, and the Chinese language version of the WHO-Five Well-Being Index (WHO-5) was used to assess mental health. Control variables included sex, age, marital status, education level, occupation status, smoking status, physical activity, and job stress. Multilevel logistic regression analysis was conducted to explore whether individual- and workplace-level social capital was associated with mental health status. In total, 34.9% of workers reported poor mental health (WHO-5health, 1.39 (95% CI: 1.10-1.75), 1.85 (95% CI: 1.38-2.46) and 3.54 (95% CI: 2.73-4.59), respectively. Corresponding odds ratios for workplace-level social capital were 0.95 (95% CI: 0.61-1.49), 1.14 (95% CI: 0.72-1.81) and 1.63 (95% CI: 1.05-2.53) for the third, second, and lowest quartiles, respectively. Higher workplace social capital is associated with lower odds of poor mental health among Chinese employees. Promoting social capital at the workplace may contribute to enhancing employees' mental health in China.

Green Maritime Logistics

DEFF Research Database (Denmark)

Psaraftis, Harilaos N.

2014-01-01

Typical problems in maritime logistics include, among others, optimal ship speed, ship routing and scheduling, fleet deployment, fleet size and mix, weather routing, intermodal network design, modal split, transshipment, queuing at ports, terminal management, berth allocation, and total supply...... chain management. The traditional analysis of these problems has been in terms of cost- benefit and other optimization criteria from the point of view of the logistics provider, carrier, shipper, or other end-user. Such traditional analysis by and large either ignores environmental issues, or considers...... them of secondary importance. Green maritime logistics tries to bring the environmental dimension into the problem, and specifically the dimension of emissions reduction, by analyzing various trade-offs and exploring ‘win-win’ solutions. This talk takes a look at the trade-offs that are at stake...

Multi-Level Formation of Complex Software Systems

Directory of Open Access Journals (Sweden)

Hui Li

2016-05-01

Full Text Available We present a multi-level formation model for complex software systems. The previous works extract the software systems to software networks for further studies, but usually investigate the software networks at the class level. In contrast to these works, our treatment of software systems as multi-level networks is more realistic. In particular, the software networks are organized by three levels of granularity, which represents the modularity and hierarchy in the formation process of real-world software systems. More importantly, simulations based on this model have generated more realistic structural properties of software networks, such as power-law, clustering and modularization. On the basis of this model, how the structure of software systems effects software design principles is then explored, and it could be helpful for understanding software evolution and software engineering practices.

77 FR 7244 - Agency Information Collection (Supplier Perception Survey) Activity Under OMB Review

Science.gov (United States)

2012-02-10

... Perception Survey) Activity Under OMB Review AGENCY: Office of Acquisition, Logistics and Construction... Veterans Affairs Supplier Perception Survey. OMB Control Number: 2900-2900-0751. Type of Review: Extension... and logistics operations across VA enterprise. An agency may not conduct or sponsor, and a person is...

Health reforms as examples of multilevel interventions in cancer care.

Science.gov (United States)

Flood, Ann B; Fennell, Mary L; Devers, Kelly J

2012-05-01

To increase access and improve system quality and efficiency, President Obama signed the Patient Protection and Affordable Care Act with sweeping changes to the nation's health-care system. Although not intended to be specific to cancer, the act's implementation will profoundly impact cancer care. Its components will influence multiple levels of the health-care environment including states, communities, health-care organizations, and individuals seeking care. To illustrate these influences, two reforms are considered: 1) accountable care organizations and 2) insurance-based reforms to gather evidence about effectiveness. We discuss these reforms using three facets of multilevel interventions: 1) their intended and unintended consequences, 2) the importance of timing, and 3) their implications for cancer. The success of complex health reforms requires understanding the scientific basis and evidence for carrying out such multilevel interventions. Conversely and equally important, successful implementation of multilevel interventions depends on understanding the political setting and goals of health-care reform.

Phase reconstruction by a multilevel iteratively regularized Gauss–Newton method

International Nuclear Information System (INIS)

Langemann, Dirk; Tasche, Manfred

2008-01-01

In this paper we consider the numerical solution of a phase retrieval problem for a compactly supported, linear spline f : R → C with the Fourier transform f-circumflex, where values of |f| and |f-circumflex| at finitely many equispaced nodes are given. The unknown phases of complex spline coefficients fulfil a well-structured system of nonlinear equations. Thus the phase reconstruction leads to a nonlinear inverse problem, which is solved by a multilevel strategy and iterative Tikhonov regularization. The multilevel strategy concentrates the main effort of the solution of the phase retrieval problem in the coarse, less expensive levels and provides convenient initial guesses at the next finer level. On each level, the corresponding nonlinear system is solved by an iteratively regularized Gauss–Newton method. The multilevel strategy is motivated by convergence results of IRGN. This method is applicable to a wide range of examples as shown in several numerical tests for noiseless and noisy data

Effect of a Multi-Level Education Intervention Model on Knowledge and Attitudes of Accidental Injuries in Rural Children in Zunyi, Southwest China

Directory of Open Access Journals (Sweden)

Bo-Ling Cao

2015-04-01

Full Text Available Objective: To explore the effect of a school-family-individual (SFI multi-level education intervention model on knowledge and attitudes about accidental injuries among school-aged children to improve injury prevention strategies and reduce the incidence of pediatric injuries. Methods: The random sample of rural school-aged children were recruited by using a multistage, stratified, cluster sampling method in Zunyi, Southwest China from 2012 to 2014, and 2342 children were randomly divided into intervention and control groups. Then children answered a baseline survey to collect knowledge and attitude scores (KAS of accidental injuries. In the intervention group, children, their parents/guardians and the school received a SFI multi-level education intervention, which included a children’s injury-prevention poster at schools, an open letter about security instruction for parents/guardians and multiple-media health education (Microsoft PowerPoint lectures, videos, handbooks, etc. to children. Children in the control group were given only handbook education. After 16 months, children answered a follow-up survey to collect data on accidental injury types and accidental injury-related KAS for comparing the intervention and control groups and baseline and follow-up data. Results: The distribution of gender was not significantly different while age was different between the baseline and follow-up survey. At baseline, the mean KAS was lower for the intervention than control group (15.37 ± 3.40 and 18.35 ± 5.01; p < 0.001. At follow-up, the mean KAS was higher for the intervention than control group (21.16 ± 3.05 and 20.02 ± 3.40; p < 0.001. The increase in KAS in the intervention and control groups was significant (p < 0.001; KAS: 5.79 vs. 1.67 and suggested that children’s injury-related KAS improved in the intervention group. Moreover, the KAS between the groups differed for most subtypes of incidental injuries (based on International

Contextual influences on environmental concerns cross-nationally: A multilevel investigation.

Science.gov (United States)

Marquart-Pyatt, Sandra T

2012-09-01

Environmental issues continue to grow in international prominence, as environmental conditions are recognized as some of the most important problems facing the world. Research examining this globalization of environmental concern shown in public opinion surveys emphasizes the importance of context yet is currently underspecified. To address this gap, this research uses a multi-level, cross-national study to examine individual-level and country-level influences on three measures of environmental concern: environmental threat awareness, environmental efficacy, and willingness to pay. At the individual level, education, age, and gender affect environmental concerns. At the national level, economic, political, and environmental factors affect environmental concerns. Importantly, contextual factors differ in their effects depending on the dimension of environmental concern measured. Results from cross-level interactions for education confirm these complexities across these measures, supporting a dimensionality argument. The importance of the measurement of environmental concern shown in this research is emphasized for future cross-national scholarship. Copyright © 2012 Elsevier Inc. All rights reserved.

Addictive internet use among Korean adolescents: a national survey.

Directory of Open Access Journals (Sweden)

Jongho Heo

Full Text Available BACKGROUND: A psychological disorder called 'Internet addiction' has newly emerged along with a dramatic increase of worldwide Internet use. However, few studies have used population-level samples nor taken into account contextual factors on Internet addiction. METHODS AND FINDINGS: We identified 57,857 middle and high school students (13-18 year olds from a Korean nationally representative survey, which was surveyed in 2009. To identify associated factors with addictive Internet use, two-level multilevel regression models were fitted with individual-level responses (1st level nested within schools (2nd level to estimate associations of individual and school characteristics simultaneously. Gender differences of addictive Internet use were estimated with the regression model stratified by gender. Significant associations were found between addictive Internet use and school grade, parental education, alcohol use, tobacco use, and substance use. Female students in girls' schools were more likely to use Internet addictively than those in coeducational schools. Our results also revealed significant gender differences of addictive Internet use in its associated individual- and school-level factors. CONCLUSIONS: Our results suggest that multilevel risk factors along with gender differences should be considered to protect adolescents from addictive Internet use.

Addictive internet use among Korean adolescents: a national survey.

Science.gov (United States)

Heo, Jongho; Oh, Juhwan; Subramanian, S V; Kim, Yoon; Kawachi, Ichiro

2014-01-01

A psychological disorder called 'Internet addiction' has newly emerged along with a dramatic increase of worldwide Internet use. However, few studies have used population-level samples nor taken into account contextual factors on Internet addiction. We identified 57,857 middle and high school students (13-18 year olds) from a Korean nationally representative survey, which was surveyed in 2009. To identify associated factors with addictive Internet use, two-level multilevel regression models were fitted with individual-level responses (1st level) nested within schools (2nd level) to estimate associations of individual and school characteristics simultaneously. Gender differences of addictive Internet use were estimated with the regression model stratified by gender. Significant associations were found between addictive Internet use and school grade, parental education, alcohol use, tobacco use, and substance use. Female students in girls' schools were more likely to use Internet addictively than those in coeducational schools. Our results also revealed significant gender differences of addictive Internet use in its associated individual- and school-level factors. Our results suggest that multilevel risk factors along with gender differences should be considered to protect adolescents from addictive Internet use.

Subset selection from generalized logistic populations

NARCIS (Netherlands)

Laan, van der M.J.; Laan, van der P.

1997-01-01

We give an introduction to the logistic and generalized logistic distributions. These generalized logistic distributions Type-I, Type-II and Type-III are indexed by a real valued parameter. They have been derived as mixtures with the standard logistic distribution and for discrete values of the

Selected aspects of the logistics network of public hospitals in the competitive market of health services

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Justyna Majchrzak-Lepczyk

2016-12-01

Full Text Available Background: The below considerations provide an overview of the issues of sustainable development, logistics, to financial engineering instruments and the role of intellectual capital in the process of transformation of public hospitals. The aim of this research was to assess the competitiveness of the network of public hospitals in the market of health services based on literature studies, as well as empirical research. Methods: Empirical study using a questionnaire survey was conducted in the period from January 2007 to December 2011, in the area of Warmia and Mazury, Pomerania and Wielkopolska. The goal of this questionnaire survey was to know the medical staff reviews issues related to adaptation to the nature of the network of public hospitals methods and logistics tools, sustainable development, corporate social responsibility - CSR. The study was carried out in 104 public hospitals, on a sample of 8975 respondents. Results and conclusions: Analysis of the completed study showed that the logistic processes and their improvement in the health sector play a significant role. The surveyed entities explicitly draw attention to the need for information systems,  pro-environment activities, access to information, or the use of GS1 global standards. These tools allow you to increase the efficiency of supply chains, ensuring not only tracking and tracing of products from the manufacturer to the patient, but also enabling better protection against making a mistake or counterfeit products.

Multilevel analysis of the individual and contextual factors of tobacco use among Mexican adolescents using the National Addiction Survey (NAS, 2011

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Luis Zavala Arciniega

2018-03-01

Full Text Available Background The tobacco industry has targeted low and middle-income countries and vulnerable groups such as women and young people. In Mexico we observe a slow decrease in tobacco consumption among adults, while in adolescents the trend in tobacco use shows an increase. Previous research in Mexico do not measure determinants at neighborhood level. The aim of the study is evaluate whether the contextual and individual factors are associated with tobacco use among Mexican adolescents. Methods Data from this study came from NAS 2011 and National Census 2010. Descriptive statistics were estimated after adjusting for sampling weights. The study had two levels: individual (adolescents between 12-17 years and contextual (neighborhoods. Multilevel logistic regression stratified by sex was conducted. Results The final sample includes 2785 adolescents from 364 neighborhoods. Prevalence of 30 days smoking in women adolescents was 3.8% and in male adolescents was 10.3%. Female adolescents exposed to second hand smoke at home were more likely to be a current smoker (OR 2.87 CI: 1.37,6.04 and in those who have an employment (OR 4.35 CI: 1.03,18.3. School attendance was inversely associated with tobacco use (OR 0.38 CI: 0.16,0.89. In Male adolescents the likelihood of being a current smoker increase according to age (OR 4.35 CI: 1.51,12.4 for 15-17 vs 12-14 and in those exposed to second hand smoke at home (OR 5.03 CI 2.38,10.6, while school attendance decrease the likelihood of being a current smoker (OR 0.14 CI: 0.05,0.39. Conclusions This study suggest that school attendance is a protective factor for smoking. Second hand smoke at home is an important factor of tobacco use. Have an employment increase the likelihood of being a current smoker only in female adolescents. Implement a successful tobacco control policy in Mexico needs to take into account educational, economics, social and gender determinants.

Challenges of Green Logistics in Southeast Europe

OpenAIRE

Beškovnik, Bojan; Jakomin, Livio

2010-01-01

This paper describes the trends towards green logistics in global aspect and challenges of adopting green logistics in the region of Southeast Europe. Modern logistics with supply chain management is experiencing a period of important evolution. From reversible logistics, we came to green logistics, which is a wider concept of environmentally friendly thinking. Reverse logistics includes processes of movements and transportation of waste from users to recycling plants; meanwhile, green logist...

New multilevel inverter with reduction of switches and gate driver

Energy Technology Data Exchange (ETDEWEB)

Banaei, M.R., E-mail: m.banaei@azaruniv.ed [Electrical Engineering Department, Faculty of Engineering, Azarbaijan University of Tarbiat Moallem, Tabriz (Iran, Islamic Republic of); Salary, E. [Electrical Engineering Department, Faculty of Engineering, Azarbaijan University of Tarbiat Moallem, Tabriz (Iran, Islamic Republic of)

2011-02-15

This paper presents a novel topology for symmetrical cascade multilevel converter. The proposed circuit consists of series connected sub multilevel converters units and it can generate DC voltage levels similar to other topologies. The proposed topology results in reduction of switches number, losses, installation area and converter cost. This converter has been used in a Dynamic Voltage Restorer (DVR). Simulation results carried out by MATLAB/SIMULINK show the voltage injection capability of converter and the efficiency of its controller in compensating voltage sag and swell.

A multilevel control approach for a modular structured space platform

Science.gov (United States)

Chichester, F. D.; Borelli, M. T.

1981-01-01

A three axis mathematical representation of a modular assembled space platform consisting of interconnected discrete masses, including a deployable truss module, was derived for digital computer simulation. The platform attitude control system as developed to provide multilevel control utilizing the Gauss-Seidel second level formulation along with an extended form of linear quadratic regulator techniques. The objectives of the multilevel control are to decouple the space platform's spatial axes and to accommodate the modification of the platform's configuration for each of the decoupled axes.

Logistics service management; differentiating the logistics service

NARCIS (Netherlands)

Veeken, van der D.J.M.; Rutten, W.G.M.M.

1998-01-01

In this article a model is described, which enables differentiation of the logistics service that a company offers to its customers. Differentiating this service is essential for businesses with a large variation within their customer and/or products portfolio. The model consists of four phases:

Going Mobile: An Empirical Model for Explaining Successful Information Logistics in Ward Rounds.

Science.gov (United States)

Esdar, Moritz; Liebe, Jan-David; Babitsch, Birgit; Hübner, Ursula

2018-01-01

Medical ward rounds are critical focal points of inpatient care that call for uniquely flexible solutions to provide clinical information at the bedside. While this fact is undoubted, adoption rates of mobile IT solutions remain rather low. Our goal was to investigate if and how mobile IT solutions influence successful information provision at the bedside, i.e. clinical information logistics, as well as to shed light at socio-organizational factors that facilitate adoption rates from a user-centered perspective. Survey data were collected from 373 medical and nursing directors of German, Austrian and Swiss hospitals and analyzed using variance-based Structural Equation Modelling (SEM). The adoption of mobile IT solutions explains large portions of clinical information logistics and is in itself associated with an organizational culture of innovation and end user participation. Results should encourage decision makers to understand mobility as a core constituent of information logistics and thus to promote close end-user participation as well as to work towards building a culture of innovation.

Risk factors for the incidence of dengue virus infection in preschool children.

Science.gov (United States)

Teixeira, Maria G; Morato, Vanessa; Barreto, Florisneide R; Mendes, Carlos M C; Barreto, Maurício L; Costa, Maria da Conceição N

2012-11-01

To estimate the seroincidence of dengue in children living in Salvador, Bahia, Brazil and to evaluate the factors associated.   A prospective serological survey was carried out in a sample of children 0-3 years of age. A multilevel logistic model was used to identify the determinants of seroincidence. The seroprevalence of dengue was 26.6% in the 625 children evaluated. A second survey detected an incidence of 33.2%. Multilevel logistic regression showed a statistically significant association between the seroincidence of dengue and age and the premises index. In Salvador, the dengue virus is in active circulation during early childhood; consequently, children have heterotypic antibodies and run a high risk of developing dengue haemorrhagic fever, because the sequence and intensity of the three dengue virus serotypes currently circulating in this city are very similar to those that were circulating in Rio de Janeiro, Brazil, in 2008. Therefore, the authors strongly recommend that the health authorities in cities with a similar epidemiological scenario be aware of this risk and implement improvements in health care, particularly targeting the paediatric age groups. In addition, information should be provided to the population and actions should be implemented to combat this vector. © 2012 Blackwell Publishing Ltd.

Analyzing the Dependency Between National Logistics Performance and Competitiveness: Which Logistics Competence is Core for National Strategy?

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Burmaoglu Serhat

2011-12-01

Full Text Available With the advancements in the strategic management field, logistics management has changed considerably and logistics competency has emerged as a new and important area of research. In this regard, the purpose of this study is to find the core logistics abilities, which enable nations to achieve a competitive advantage in the logistics market. Two different data sets, one from World Economic Forum and the other from the World Bank were used. Cluster and discriminant analysis were used to answer the research questions. The results indicated that while the logistics infrastructure and the customs were absolute in determining a high-competitive country, the logistics competence and the tracking & tracing were the core logistics abilities needed to sustain the competitive advantage in long term. The implications of these results are also discussed.

Do places matter? A multi-level analysis of regional variations in health-related behaviour in Britain.

Science.gov (United States)

Duncan, C; Jones, K; Moon, G

1993-09-01

A number of commentators have argued that there is a distinctive geography of health-related behaviour. Behaviour has to be understood not only in terms of individual characteristics, but also in relation to local cultures. Places matter, and the context in which behaviour takes place is crucial for understanding and policy. Previous empirical research has been unable to operationalize these ideas and take simultaneous account of both individual compositional and aggregate contextual factors. The present paper addresses this shortcoming through a multi-level analysis of smoking and drinking behaviours recorded in a large-scale national survey. It suggests that place, expressed as regional differences, may be less important than previously implied.

First state of logistics survey for South Africa 2004: The case for measurement and revitalisation of basic logistics infrastructure in our dual economy

CSIR Research Space (South Africa)

Van Dyk, FE

2005-02-01

Full Text Available the cost of logistics from that of communications in their official publications. Transport and storage costs are aggregated with that of communications under the tertiary sector in the Bank’s Quarterly Report. The combined Transport, Storage... policy to not divulge detail information on the compilation of the national accounts. However, sources in the Bank revealed that transport and storage combined accounts for 53% (R 59bn) of the total cost of the sub- sector and that storage alone...

dLOGIS: Disaster Logistics Information System

Science.gov (United States)

Koesuma, Sorja; Riantana, Rio; Siswanto, Budi; Aji Purnomo, Fendi; Lelono, Sarjoko

2017-11-01

There are three timing of disaster mitigation which is pre-disaster, emergency response and post-disaster. All of those is important in disaster mitigation, but emergency response is important when we are talking about time. Emergency response has limited time when we should give help. Rapid assessment of kind of logistic, the number of survivors, number children and old people, their gender and also for difable person. It should be done in emergency response time. Therefore we make a mobile application for logistics management system. The name of application is dLOGIS, i.e. Disaster Logistics Information System. The application is based on Android system for mobile phone. Otherwise there is also website version. The website version is for maintenance, data input and registration. So the people or government can use it directly when there is a disaster. After login in dLOGIS, there is five main menus. The first main menu shows disaster information, refugees conditions, logistics needed, available logistics stock and already accepted logistics. In the second menu is used for entering survivors data. The field coordinator can enter survivors data based on the rapid assessment in disaster location. The third menu is used for entering kind of logistic. Number and kind of logistics are based on the BNPB needed standard for the survivor. The fourth menu displays the logistics stock available in field coordinator. And the last menu displays the logistics help that already accepted and sent by donation. By using this application when a disaster happened, field coordinator or local government can use maintenance distribution of logistics base on their needs. Also for donor people who will give help to survivor, they can give logistics with the corresponding of survivor needs.

Toward A Multilevel Theory of Career Development: Advancing Human Resource Development Theory Building

Science.gov (United States)

Upton, Matthew G.; Egan, Toby Marshall

2007-01-01

The established limitations of career development (CD) theory and human resource development (HRD) theory building are addressed by expanding the framing of these issues to multilevel contexts. Multilevel theory building is an approach most effectively aligned with HRD literature and CD and HRD practice realities. An innovative approach multilevel…

An adaptive large neighborhood search heuristic for Two-Echelon Vehicle Routing Problems arising in city logistics

Science.gov (United States)

Hemmelmayr, Vera C.; Cordeau, Jean-François; Crainic, Teodor Gabriel

2012-01-01

In this paper, we propose an adaptive large neighborhood search heuristic for the Two-Echelon Vehicle Routing Problem (2E-VRP) and the Location Routing Problem (LRP). The 2E-VRP arises in two-level transportation systems such as those encountered in the context of city logistics. In such systems, freight arrives at a major terminal and is shipped through intermediate satellite facilities to the final customers. The LRP can be seen as a special case of the 2E-VRP in which vehicle routing is performed only at the second level. We have developed new neighborhood search operators by exploiting the structure of the two problem classes considered and have also adapted existing operators from the literature. The operators are used in a hierarchical scheme reflecting the multi-level nature of the problem. Computational experiments conducted on several sets of instances from the literature show that our algorithm outperforms existing solution methods for the 2E-VRP and achieves excellent results on the LRP. PMID:23483764

An adaptive large neighborhood search heuristic for Two-Echelon Vehicle Routing Problems arising in city logistics.

Science.gov (United States)

Hemmelmayr, Vera C; Cordeau, Jean-François; Crainic, Teodor Gabriel

2012-12-01

In this paper, we propose an adaptive large neighborhood search heuristic for the Two-Echelon Vehicle Routing Problem (2E-VRP) and the Location Routing Problem (LRP). The 2E-VRP arises in two-level transportation systems such as those encountered in the context of city logistics. In such systems, freight arrives at a major terminal and is shipped through intermediate satellite facilities to the final customers. The LRP can be seen as a special case of the 2E-VRP in which vehicle routing is performed only at the second level. We have developed new neighborhood search operators by exploiting the structure of the two problem classes considered and have also adapted existing operators from the literature. The operators are used in a hierarchical scheme reflecting the multi-level nature of the problem. Computational experiments conducted on several sets of instances from the literature show that our algorithm outperforms existing solution methods for the 2E-VRP and achieves excellent results on the LRP.

THE MODEL OF LIFELONG EDUCATION IN A TECHNICAL UNIVERSITY AS A MULTILEVEL EDUCATIONAL COMPLEX

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Svetlana V. Sergeyeva

2016-06-01

Full Text Available Introduction: the current leading trend of the educational development is characterised by its continuity. Institutions of higher education as multi-level educational complexes nurture favourable conditions for realisation of the strategy of lifelong education. Today a technical university offering training of future engineers is facing a topic issue of creating a multilevel educational complex. Materials and Methods: this paper is put together on the basis of modern Russian and foreign scientific literature about lifelong education. The authors used theoretical methods of scientific research: systemstructural analysis, synthesis, modeling, analysis and generalisations of concepts. Results: the paper presents a model of lifelong education developed by authors for a technical university as a multilevel educational complex. It is realised through a set of principles: multi-level and continuity, integration, conformity and quality, mobility, anticipation, openness, social partnership and feedback. In accordance with the purpose, objectives and principles, the content part of the model is formed. The syllabi following the described model are run in accordance with the training levels undertaken by a technical university as a multilevel educational complex. All syllabi are based on the gradual nature of their implementation. In this regard, the authors highlight three phases: diagnostic, constructive and transformative, assessing. Discussion and Conclusions: the expected result of the created model of lifelong education development in a technical university as a multilevel educational complex is presented by a graduate trained for effective professional activity, competitive, prepared and sought-after at the regional labour market.

Multilevel Modeling of the Performance Variance

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Alexandre Teixeira Dias

2012-12-01

Full Text Available Focusing on the identification of the role played by Industry on the relations between Corporate Strategic Factors and Performance, the hierarchical multilevel modeling method was adopted when measuring and analyzing the relations between the variables that comprise each level of analysis. The adequacy of the multilevel perspective to the study of the proposed relations was identified and the relative importance analysis point out to the lower relevance of industry as a moderator of the effects of corporate strategic factors on performance, when the latter was measured by means of return on assets, and that industry don‟t moderates the relations between corporate strategic factors and Tobin‟s Q. The main conclusions of the research are that the organizations choices in terms of corporate strategy presents a considerable influence and plays a key role on the determination of performance level, but that industry should be considered when analyzing the performance variation despite its role as a moderator or not of the relations between corporate strategic factors and performance.

Behavioral Operations in Logistics

NARCIS (Netherlands)

J. de Vries (Jelle)

2016-01-01

markdownabstractIn the world of logistics, a considerable share of all work is automated and performed by machines or robots. An examination of the existing logistics research reflects this image, since a substantial share of the studies focus on automated processes, and perfectly predictable

Multilevel quadrature of elliptic PDEs with log-normal diffusion

KAUST Repository

Harbrecht, Helmut

2015-01-07

We apply multilevel quadrature methods for the moment computation of the solution of elliptic PDEs with lognormally distributed diffusion coefficients. The computation of the moments is a difficult task since they appear as high dimensional Bochner integrals over an unbounded domain. Each function evaluation corresponds to a deterministic elliptic boundary value problem which can be solved by finite elements on an appropriate level of refinement. The complexity is thus given by the number of quadrature points times the complexity for a single elliptic PDE solve. The multilevel idea is to reduce this complexity by combining quadrature methods with different accuracies with several spatial discretization levels in a sparse grid like fashion.

3PL, 4PL and insourcing logistics

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Mauro Vivaldini

2015-12-01

Full Text Available Logistics services have evolved and changed over time, especially in the hiring of them according to the concepts of 3PL (third party logistics, 4PL (fourth party logistics or insourcing logistics. 3PL service is a consolidated business, 4PL is an option for outsourcing logistics and has already been adopted by some organizations, and insourcing logistics suggests the return of these activities being internalized by companies, which is still a relatively unexplored subject in logistics literature. Analyzing these themes in the literature, this study updates the view on them and proposes a conceptual framework that classifies the different models of logistics services, showing the different options that can be adopted to help the company decide how to run their logistics services.

IMPROVING MARKETING LOGISTICS MANAGEMENT OF ENTERPRISES OF AGRO-INDUSTRIAL COMPLEX

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Raisa Bilovol

2016-11-01

Full Text Available The Purpose of the paper is to prove the need of improving marketing logistics management at enterprises of agro-industrial complex with the use of balanced scorecard method that will allow objectively evaluate its effectiveness. Methodology. The survey is based on the use of general scientific research methods, methods of analysis and synthesis, method of abstraction. Results. Research of state sales of agricultural products in agrarian enterprises helped us to identify and organize the following disadvantages: intermediary structures that are engaged in marketing of agricultural products significantly increase their costs that excess in 2-4 times the original price of agricultural products; inadequacy of agricultural market infrastructure and lack of wholesale and retail markets for agricultural products; low level of development of information electronic communications; backwardness of transport infrastructure and poor quality of roads, particularly in rural areas; high level of physical and moral deterioration of transport; low level of development of industrial and technological base of agricultural enterprises warehousing. Practical implications. We systemized and proposed indicators of evaluation of marketing logistics at enterprises of the agro-industrial complex based on the Balanced Scorecard in key areas: financial and cost-effectiveness indicators; indicators of internal logistics business processes; quality and development staff; indicators in the direction of working with clients. To the financial indicators and indicators of economic efficiency we included such as sales per 1 employer at marketing department (Qs/employer, proportion of logistics cost of marketing in the total cost of the enterprise (%, coefficient of the implementation of marketing plan (Cm, ROI in logistics marketing (%, profitability of marketing channels (%. Internal logistics business processes in enterprises of the agro-industrial complex represented by such

A new configuration for multilevel converters with diode clamped topology

DEFF Research Database (Denmark)

Nami, A.; Zare, F.; Ledwich, G.

2008-01-01

Due to the increased use of renewable energy and power elctronic applications, more multilevel converters (MLC) are developed. A Neutral Point Clamped (NPC) inverter is one of the most used multilevel topologies for wind turbine (WT) and photovoltaic (PV) applications. One of the most crucial...... of load changes which can avoid neutral point balancing problem in such converters. In addition, the presented topology is suitable for renewable energy systems to boost the low rectified output-voltage. In order to verify the proposed topology, steady state analysis, modelling and simulations are carried...

Converter DC/AC Multilevel of Three Cells: Modeling and Simulation

Directory of Open Access Journals (Sweden)

Julián Peláez-Restrepo

2013-11-01

Full Text Available This paper presents a three-cell converter DC / AC. Multilevel topologies are attracting attention in the industry, obtained as a ripple on the state variables much smaller, and reduces stress on the switching devices. The topology used in this work is known in the technical literature as floating capacitor multilevel inverter, which imposes the challenge of balancing the voltage across each cell switching using floating capacitors, besides obtaining a sinusoidal signal regulated. The paper presents the averaged model of the inverter, and results obtained through simulation.

Country logistics performance and disaster impact.

Science.gov (United States)

Vaillancourt, Alain; Haavisto, Ira

2016-04-01

The aim of this paper is to deepen the understanding of the relationship between country logistics performance and disaster impact. The relationship is analysed through correlation analysis and regression models for 117 countries for the years 2007 to 2012 with disaster impact variables from the International Disaster Database (EM-DAT) and logistics performance indicators from the World Bank. The results show a significant relationship between country logistics performance and disaster impact overall and for five out of six specific logistic performance indicators. These specific indicators were further used to explore the relationship between country logistic performance and disaster impact for three specific disaster types (epidemic, flood and storm). The findings enhance the understanding of the role of logistics in a humanitarian context with empirical evidence of the importance of country logistics performance in disaster response operations. © 2016 The Author(s). Disasters © Overseas Development Institute, 2016.

Logistics Collaboration between Shippers and Logistics Service Providers. Observations in the chemical industry

NARCIS (Netherlands)

Drs. Lenny Visser

2007-01-01

Summary Project objectives This study fits into a larger research project on logistics collaboration and outsourcing decisions. The final objective of this larger project is to analyze the logistics collaboration decision in more detail to identify thresholds in these decisions. To reach the

Efficiency and Logistics

CERN Document Server

Hompel, Michael; Klumpp, Matthias

2013-01-01

The „EffizienzCluster LogistikRuhr“ was a winner in the Leading Edge Science Cluster competition run by the German federal Ministry of Education and Research. The mission and aim of the „EffizienzCluster LogistikRuhr“ is to facilitate tomorrow’s individuality – in the sense of individual goods supply, mobility, and production – using 75 percent of today’s resources. Efficiency – both in economical and ecological terms – is enabled by state-of-the-art and innovative logistical solutions including transportation, production and intralogistics. These proceedings “Efficiency and Logistics” give first answers from 27 research projects as an insight into the current state of research of Europe’s leading research and development cluster in logistics and as a contribution to the discussion on how logistics as a science can help to cope with foreseeable resource shortage and sustainability as global challenges.

Logistic management materials-technical support railway enterprises

OpenAIRE

Dykan, V.; Borozenetc, T.

2014-01-01

The essence of logistics management. Determine the feasibility of applying the principles of logistics management in organizing the logistics of railway transport. Discussed measures to develop suppliers in the implementation of logistics management logistics. Identified the need to develop and implement regulatory and methodical system to improve materials-technical support through the introduction of modern logistics principles. Applied systemic campaign to organize the materials-technical ...

Robust Algebraic Multilevel Methods and Algorithms

CERN Document Server

Kraus, Johannes

2009-01-01

This book deals with algorithms for the solution of linear systems of algebraic equations with large-scale sparse matrices, with a focus on problems that are obtained after discretization of partial differential equations using finite element methods. Provides a systematic presentation of the recent advances in robust algebraic multilevel methods. Can be used for advanced courses on the topic.

The influence of the macro-environment on physical activity: a multilevel analysis of 38 countries worldwide.

Science.gov (United States)

Bosdriesz, Jizzo R; Witvliet, Margot I; Visscher, Tommy L S; Kunst, Anton E

2012-09-11

As indicated by the ANGELO framework and similar models, various environmental factors influence population levels of physical activity (PA). To date attention has focused on the micro-level environment, while evidence on the macro-level environment remains scarce and mostly limited to high-income countries. This study aims to investigate whether environmental factors at macro-level are associated with PA among a broader range of countries. Data from the World Health Survey (WHS) was used to analyze 177,035 adults from 38 (mostly low and middle income) countries. The International Physical Activity Questionnaire-Short Form (IPAQ-S) was used to measure PA. Respondents were classified as active or inactive for vigorous PA, moderate PA and walking. Multilevel logistic regression was performed to assess associations between macro-level environmental factors and the prevalence of PA, with control for individual-level socioeconomic factors. The prevalence of PA varied widely between countries and types of PA (5.0%-93.8%). A negative association was found between gross domestic product and PA, odds ratios for men were 0.76 (95% CI: 0.65-0.89) for moderate PA and 0.79 (95% CI: 0.63-0.98) for walking. A higher temperature was associated with less PA (all types) and higher urbanization was associated with less vigorous and moderate PA. More gender equality was also associated with more walking for women. Governmental functioning and literacy rate were not found to be associated with any type of PA. This exploratory study indicates that factors such as climate, economic development and cultural factors are determinants of the level of overall PA at national levels. This underlines the suggestion that the macro-environment should be regarded as an important influence on PA.

Non-medical use of prescription pain relievers among high school students in China: a multilevel analysis.

Science.gov (United States)

Guo, Lan; Xu, Yan; Deng, Jianxiong; He, Yuan; Gao, Xue; Li, Pengsheng; Wu, Hong; Zhou, Jinhua; Lu, Ciyong

2015-07-13

Given the differences between general high school (GHS) and vocational high school (VHS) students, this study aimed to investigate the lifetime prevalence of non-medical use of prescription pain relievers (NMUPPR) among high school students as well as the associations between NMUPPR and individual-level factors and school category. A cross-sectional study was conducted in GHS and VHS students in 2012 in Chongqing, and 11 906 students' questionnaires were completed and qualified for the survey. Self-reported NMUPPR and information regarding individual-level determinants and school category were collected. A multilevel multivariate logistic regression model was fitted to explore independent predictors of NMUPPR. The total lifetime prevalence of NMUPPR was 11.3%, and NMUPPR was more prevalent among VHS students (15.8%) compared with GHS students (9.8%). Overall, the results indicated that VHS students were more likely to be involved in NMUPPR (adjusted OR (AOR)=1.64, 95% CI 1.42 to 1.89). Regarding the individual-level predictors of NMUPPR, below-average family economic status was negatively correlated with NMUPPR (AOR=0.77, 95% CI 0.60 to 0.98), and students with more pocket money were more likely to be engaged in NMUPPR. Students who had difficult family relationships, had poor relationships with teachers, had parents or friends who engaged in non-medical prescription drug use, and considered or attempted suicide were more likely to be engaged in NMUPPR. NMUPPR among high school students is a multidetermined phenomenon. The current findings indicate that VHS students are an important subgroup of adolescents and highlight the need for additional research as well as targeted prevention and intervention programmes for NMUPPR. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

The influence of the macro-environment on physical activity: a multilevel analysis of 38 countries worldwide

Directory of Open Access Journals (Sweden)

Bosdriesz Jizzo R

2012-09-01

Full Text Available Abstract Background As indicated by the ANGELO framework and similar models, various environmental factors influence population levels of physical activity (PA. To date attention has focused on the micro-level environment, while evidence on the macro-level environment remains scarce and mostly limited to high-income countries. This study aims to investigate whether environmental factors at macro-level are associated with PA among a broader range of countries. Methods Data from the World Health Survey (WHS was used to analyze 177,035 adults from 38 (mostly low and middle income countries. The International Physical Activity Questionnaire-Short Form (IPAQ-S was used to measure PA. Respondents were classified as active or inactive for vigorous PA, moderate PA and walking. Multilevel logistic regression was performed to assess associations between macro-level environmental factors and the prevalence of PA, with control for individual-level socioeconomic factors. Results The prevalence of PA varied widely between countries and types of PA (5.0%-93.8%. A negative association was found between gross domestic product and PA, odds ratios for men were 0.76 (95% CI: 0.65-0.89 for moderate PA and 0.79 (95% CI: 0.63-0.98 for walking. A higher temperature was associated with less PA (all types and higher urbanization was associated with less vigorous and moderate PA. More gender equality was also associated with more walking for women. Governmental functioning and literacy rate were not found to be associated with any type of PA. Conclusions This exploratory study indicates that factors such as climate, economic development and cultural factors are determinants of the level of overall PA at national levels. This underlines the suggestion that the macro-environment should be regarded as an important influence on PA.

Information Technology in Small Medium Enterprise: Logistic and Production Processes

Directory of Open Access Journals (Sweden)

Maurizio Pighin

2017-01-01

Full Text Available This paper presents and discuss a survey which describes how small-medium enterprises (SMEs implement and use their information system with respect to their logistic and production processes. The study first describes the rationale of the research, then it identifies the characteristics of the companies and detects their general attitude towards information technology (IT. In the following section the paper presents a set of detailed processes to verify the structure and workflow of companies and how IT supports their processes. In the last part we study the influence of some company characteristics to effective use of processes and to different technological approaches, to support defined logistic and production processes. The novelty of the study and its interest, both in academic and institutional context as in the real world, resides in the opportunity to verify and understand the different attitudes of SMEs towards information technology in defining, organizing, planning and control their processes.

Finite Volume Element (FVE) discretization and multilevel solution of the axisymmetric heat equation

Science.gov (United States)

Litaker, Eric T.

1994-12-01

The axisymmetric heat equation, resulting from a point-source of heat applied to a metal block, is solved numerically; both iterative and multilevel solutions are computed in order to compare the two processes. The continuum problem is discretized in two stages: finite differences are used to discretize the time derivatives, resulting is a fully implicit backward time-stepping scheme, and the Finite Volume Element (FVE) method is used to discretize the spatial derivatives. The application of the FVE method to a problem in cylindrical coordinates is new, and results in stencils which are analyzed extensively. Several iteration schemes are considered, including both Jacobi and Gauss-Seidel; a thorough analysis of these schemes is done, using both the spectral radii of the iteration matrices and local mode analysis. Using this discretization, a Gauss-Seidel relaxation scheme is used to solve the heat equation iteratively. A multilevel solution process is then constructed, including the development of intergrid transfer and coarse grid operators. Local mode analysis is performed on the components of the amplification matrix, resulting in the two-level convergence factors for various combinations of the operators. A multilevel solution process is implemented by using multigrid V-cycles; the iterative and multilevel results are compared and discussed in detail. The computational savings resulting from the multilevel process are then discussed.

Loading Analysis of Modular Multi-level Converter for Offshore High-voltage DC Application under Various Grid Faults

DEFF Research Database (Denmark)

Liu, Hui; Ma, Ke; Loh, Poh Chiang

2016-01-01

challenges but may also result in overstressed components for the modular multi-level converter. However, the thermal loading of the modular multi-level converter under various grid faults has not yet been clarified. In this article, the power loss and thermal performance of the modular multi-level converter...... low-voltage ride-through strongly depend on the types and severity values of grid voltage dips. The thermal distribution among the three phases of the modular multi-level converter may be quite uneven, and some devices are much more stressed than the normal operating condition, which may...

Quality of investments in logistics

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Borut Jereb

2014-06-01

Full Text Available The issue problem of paper is that base on researches connected with analysis of investments in logistics based on the review of 100 pooled manuscripts from different sources (scientific journals and online magazines from 1996 to 2012 it was showed that there don't exist quality as well as leadership has no a good overview of the investment in logistics. It was claimed that the quality point of view should be demanding part of investments in logistics. Val Log was proposed as an answer to the issues of managing quality of investments in logistics at the tactical level in organizations. By Val Log it is possible to overcome the myth that logistics projects cost money while business projects bring money. Val Log also provides detailed instructions for goals and metrics for each process. By doing changes the quality should be the obvious pillar of our affords doing it.

Behavioral spillovers from freeriding in multilevel interactions.

NARCIS (Netherlands)

Thommes, K; Vyrastekova, J.; Akkerman, A.

2015-01-01

We study multilevel interactions using experimental methods. Does the efficiency of a production team suffer from the freeriding behavior of some team members at the firm level? Can we identify behavioral spillovers affecting teams? We isolate common tasks that teams must complete - coordination and

The relationship between multilevel models and non-parametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity.

Science.gov (United States)

Rights, Jason D; Sterba, Sonya K

2016-11-01

Multilevel data structures are common in the social sciences. Often, such nested data are analysed with multilevel models (MLMs) in which heterogeneity between clusters is modelled by continuously distributed random intercepts and/or slopes. Alternatively, the non-parametric multilevel regression mixture model (NPMM) can accommodate the same nested data structures through discrete latent class variation. The purpose of this article is to delineate analytic relationships between NPMM and MLM parameters that are useful for understanding the indirect interpretation of the NPMM as a non-parametric approximation of the MLM, with relaxed distributional assumptions. We define how seven standard and non-standard MLM specifications can be indirectly approximated by particular NPMM specifications. We provide formulas showing how the NPMM can serve as an approximation of the MLM in terms of intraclass correlation, random coefficient means and (co)variances, heteroscedasticity of residuals at level 1, and heteroscedasticity of residuals at level 2. Further, we discuss how these relationships can be useful in practice. The specific relationships are illustrated with simulated graphical demonstrations, and direct and indirect interpretations of NPMM classes are contrasted. We provide an R function to aid in implementing and visualizing an indirect interpretation of NPMM classes. An empirical example is presented and future directions are discussed. © 2016 The British Psychological Society.

Mining Branching Rules from Past Survey Data with an Illustration Using a Geriatric Assessment Survey for Older Adults with Cancer

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Daniel R. Jeske

2016-05-01

Full Text Available We construct a fast data mining algorithm that can be used to identify high-frequency response patterns in historical surveys. Identification of these patterns leads to the derivation of question branching rules that shorten the time required to complete a survey. The data mining algorithm allows the user to control the error rate that is incurred through the use of implied answers that go along with each branching rule. The context considered is binary response questions, which can be obtained from multi-level response questions through dichotomization. The algorithm is illustrated by the analysis of four sections of a geriatric assessment survey used by oncologists. Reductions in the number of questions that need to be asked in these four sections range from 33% to 54%.

The Logistics Performance Effect in International Trade

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Azmat Gani

2017-12-01

Full Text Available The continuous growth in world trade depends on the efficiency of trade support structures such as the logistics services. Despite logistics integral role in supporting commercial activities, there has generally been a low level of analysis and trade policy research focus from trade practitioners. This paper explores the effect of logistics performance in international trade. The analysis draws on overall logistics performance as well as disaggregated measures of logistics specificities data for a large sample of countries. The empirical analysis involved the estimation of standard export and import equations incorporating measures of logistics performance. The findings show that the overall logistics performance is positively and statistically significantly correlated with exports and imports. The analysis is also extended by investigating if logistics specificities mattered for international trade. The findings reveal that several dimensions capturing logistics performance have statistically significant and positive effect, mostly on exports. The main policy implication is that continuous investment in logistics infrastructure and services can positively impact international trade.

An appraisal of convergence failures in the application of logistic regression model in published manuscripts.

Science.gov (United States)

Yusuf, O B; Bamgboye, E A; Afolabi, R F; Shodimu, M A

2014-09-01

Logistic regression model is widely used in health research for description and predictive purposes. Unfortunately, most researchers are sometimes not aware that the underlying principles of the techniques have failed when the algorithm for maximum likelihood does not converge. Young researchers particularly postgraduate students may not know why separation problem whether quasi or complete occurs, how to identify it and how to fix it. This study was designed to critically evaluate convergence issues in articles that employed logistic regression analysis published in an African Journal of Medicine and medical sciences between 2004 and 2013. Problems of quasi or complete separation were described and were illustrated with the National Demographic and Health Survey dataset. A critical evaluation of articles that employed logistic regression was conducted. A total of 581 articles was reviewed, of which 40 (6.9%) used binary logistic regression. Twenty-four (60.0%) stated the use of logistic regression model in the methodology while none of the articles assessed model fit. Only 3 (12.5%) properly described the procedures. Of the 40 that used the logistic regression model, the problem of convergence occurred in 6 (15.0%) of the articles. Logistic regression tends to be poorly reported in studies published between 2004 and 2013. Our findings showed that the procedure may not be well understood by researchers since very few described the process in their reports and may be totally unaware of the problem of convergence or how to deal with it.

LOGISTICS MANAGEMENT IN THE CONTEMPORARY ECONOMY

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Ion SARBU

2014-03-01

Full Text Available The evolution of logistics management as a system in the recent decades can be characterized by the influence of the globalization processes and the economic integration in the European Union. Systemic logistic approach ensured revolutionizing the optimization of the logistics chain. Logistics management must be given to permanent forms of the new legal and organizational structure appropriate to the contemporary economy.

LOGISTICS MANAGEMENT IN THE CONTEMPORARY ECONOMY

Directory of Open Access Journals (Sweden)

Ion SARBU

2014-01-01

Full Text Available The evolution of logistics management as a system in the recent decades can be characterized by the influence of the globalization processes and the economic integration in the European Union. Systemic logistic approach ensured revolutionizing the optimization of the logistics chain. Logistics management must be given to permanent forms of the new legal and organizational structure appropriate to the contemporary economy.

Exploratory study of logistics service quality scale based on online shopping malls

Institute of Scientific and Technical Information of China (English)

FENG Yi-xiong; ZHENG Bing; TAN Jian-rong

2007-01-01

Online shopping has already become the new mode that a lot of customers try to adopt. At the same time, the online shopping could not be successfully completed without logistics service. Logistics service quality (LSQ) has significant impact on revenue and profitability. This paper presents the issue from the perspective of the customer, and explores the initial factors of LSQ based on the online shopping through in-depth interview and the Delphi method. The survey uses a standard 7-point Likert-type scale to measure the LSQ. Empirical research results are shown in detail to confirm seven LSQ dimensions with Chinese characteristics, including timeliness quality, personal contact quality, order quality, order discrepancy handling, order condition and convenience. Statistical analyses of the investigation were conducted to test the reliability and validity of the LSQ evaluation model.

Logistic regression applied to natural hazards: rare event logistic regression with replications

Science.gov (United States)

Guns, M.; Vanacker, V.

2012-06-01

Statistical analysis of natural hazards needs particular attention, as most of these phenomena are rare events. This study shows that the ordinary rare event logistic regression, as it is now commonly used in geomorphologic studies, does not always lead to a robust detection of controlling factors, as the results can be strongly sample-dependent. In this paper, we introduce some concepts of Monte Carlo simulations in rare event logistic regression. This technique, so-called rare event logistic regression with replications, combines the strength of probabilistic and statistical methods, and allows overcoming some of the limitations of previous developments through robust variable selection. This technique was here developed for the analyses of landslide controlling factors, but the concept is widely applicable for statistical analyses of natural hazards.

New Approaches to Circulating Current Controllers for Modular Multilevel Converters

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