The Experts below are selected from a list of 25119 Experts worldwide ranked by ideXlab platform
Shoichiro Tsugane - One of the best experts on this subject based on the ideXlab platform.
-
Soft Drink 100 fruit juice and vegetable juice intakes and risk of diabetes mellitus
Clinical Nutrition, 2013Co-Authors: Ehab S Eshak, Hiroyasu Iso, Tetsuya Mizoue, Manami Inoue, Mitsuhiko Noda, Shoichiro TsuganeAbstract:Summary Background & aims Japan has experienced a jump in the diabetes prevalence rates. We want to examine whether increased intake of Soft Drink and juices have contributed to this jump. Methods Participants were 27,585 Japanese men and women aged 40–59 years who had no prior history of diabetes. Intakes of Soft Drink, 100% fruit juice and vegetable juice were measured by a validated food frequency questionnaire. Odds ratios of type 2 diabetes over 5 and 10 years were estimated by using logistic regression. Results A total of 484 men and 340 women reported newly diagnosed diabetes during10 years. High Soft Drink intake was associated with increased risk of type 2 diabetes in women but not men; odds ratio (95% CI) for women with almost daily consumption versus non-consumers was 2.10 (1.23–3.59; P -trend = 0.004) and 1.79 (1.11–2.89; P -trend = 0.01) at 5 and 10 years, respectively. The association was evident in overweight, highly educated and premenopausal women, and women with blue collar job. Intakes of 100% fruit juice and vegetable juice were not associated with risk of type 2 diabetes for either gender ( P -trend >0.05). Conclusions Soft Drink but not pure juices consumption was associated with increased risk of type 2 diabetes in Japanese women.
-
Soft Drink intake in relation to incident ischemic heart disease stroke and stroke subtypes in japanese men and women the japan public health centre based study cohort i
The American Journal of Clinical Nutrition, 2012Co-Authors: Ehab S Eshak, Hiroyasu Iso, Manami Inoue, Yoshihiro Kokubo, Isao Saito, Kazumasa Yamagishi, Shoichiro TsuganeAbstract:Background Soft Drink intake has been associated with obesity and diabetes, but its relation with risk of cardiovascular disease (CVD) is limited. Objective We examined the association between Soft Drink intake and risk of CVD in a Japanese population. Design This was a prospective study in 39,786 Japanese men and women aged 40-59 y in which Soft Drink intake was determined by using a self-administered food-frequency questionnaire. Follow-up was from 1990 to 2008. HRs and 95% CIs of incidence were calculated according to categories of Soft Drink intake. Results During 18 y of follow-up, we ascertained 453 incident cases of ischemic heart disease (IHD) and 1922 cases of stroke, including 859 hemorrhagic and 1047 ischemic strokes. Soft Drink intake was positively associated with risk of total stroke and more specifically ischemic stroke for women; the multivariable HR (95% CI) in the highest Soft Drink intake (almost every day) category compared with the lowest intake (never or rarely) category was 1.21 (0.88, 1.68; P-trend = 0.02) for total stroke and 1.83 (1.22, 2.75; P-trend = 0.001) for ischemic stroke. That association did not change significantly after the exclusion of early incident cases within 3-9 y from baseline. A nonsignificant inverse trend for risks of total and ischemic strokes was shown for men, and it was weakened after the exclusion of early incident cases or after the exclusion of participants with baseline comorbidities. Soft Drink intake was not associated with risk of IHD or hemorrhagic stroke for either sex. Conclusion Soft Drink intake is associated with higher risk of ischemic stroke for women.
Ubaid Ullah - One of the best experts on this subject based on the ideXlab platform.
-
Pollution and energy reduction strategy in Soft Drink industries
Environmental Science and Pollution Research, 2018Co-Authors: Nisar Muhammad, Rahib Hussain, Muhammad Haya Khan, Shah Jehan, Mohammad Nafees, Ubaid UllahAbstract:The present study was conducted on Soft Drink industry with the objective to reduce wastewater pollution through end-of-pipe treatment and controlling energy loss through steam pipeline insulation approach. For this purpose, the main operation and manufacturing steps were examined. Wastewater was analyzed for 10 physicochemical parameters. Among these parameters, total dissolved solids (TDS), total suspended solids (TSS) and chemical oxygen demand (COD) were above their permissible level of Pakistan national environmental quality standards (Pak NEQS). For wastewater treatment, sedimentation, flocculation, coagulation and adsorption were tested. The active study reduces the pollution load up to 48%. After treatment, all the parameters were below the Pak NEQS level. To reduce the energy loss and economic benefits, the steam pipeline system was galvanized using glass wool, sheet and paper. Through galvanizing, 91.4% of energy was recovered and reduced an extra cost of 91.5%. The net saving of energy and cost are 312 GJ and114098 Rs/year, respectively. The study recommends end off pipe treatment and insulation of bare pipeline system for Soft Drink industries.
Reinaldo Morabito - One of the best experts on this subject based on the ideXlab platform.
-
a genetic algorithm mathematical programming approach to solve a two level Soft Drink production problem
Computers & Operations Research, 2014Co-Authors: Claudio Fabiano Motta Toledo, Lucas De Oliveira, Rodrigo Pereira, Paulo Morelato Franca, Reinaldo MorabitoAbstract:This study applies a genetic algorithm embedded with mathematical programming techniques to solve a synchronized and integrated two-level lot sizing and scheduling problem motivated by a real-world problem that arises in Soft Drink production. The problem considers a production process compounded by raw material preparation/storage and Soft Drink bottling. The lot sizing and scheduling decisions should be made simultaneously for raw material preparation/storage in tanks and Soft Drink bottling in several production lines minimizing inventory, shortage and setup costs. The literature provides mixed-integer programming models for this problem, as well as solution methods based on evolutionary algorithms and relax-and-fix approaches. The method applied by this paper uses a new approach which combines a genetic algorithm (GA) with mathematical programming techniques. The GA deals with sequencing decisions for production lots, so that an exact method can solve a simplified linear programming model, responsible for lot sizing decisions. The computational results show that this evolutionary/mathematical programming approach outperforms the literature methods in terms of production costs and run times when applied to a set of real-world problem instances provided by a Soft Drink company.
-
single stage formulations for synchronised two stage lot sizing and scheduling in Soft Drink production
International Journal of Production Economics, 2012Co-Authors: Deisemara Ferreira, Alistair Clark, Bernardo Almadalobo, Reinaldo MorabitoAbstract:This study deals with industrial processes that produce Soft Drink bottles in different flavours and sizes, carried out in two synchronised production stages: liquid preparation and bottling. Four single-stage formulations are proposed to solve the synchronised two-stage lot sizing and scheduling problem in Soft Drink production synchronising the first stage's syrup lots in tanks with the second stage's Soft Drink lots on bottling lines. The first two formulations are variants of the General Lot Sizing and Scheduling Problem (GLSP) with sequence-dependent setup times and costs, while the other two are based on the Asymmetric Travelling Salesman Problem (ATSP) with different subtour elimination constraints. All models are computationally tested and compared to the original two-stage formulation introduced in Ferreira et al. (2009), using data based on a real-world bottling plant. The results show not only the superiority of the single-stage models if compared to the two-stage formulation, but also the much faster solution times of the ATSP-based models.
-
solution approaches for the Soft Drink integrated production lot sizing and scheduling problem
European Journal of Operational Research, 2009Co-Authors: Deisemara Ferreira, Reinaldo Morabito, Socorro RangelAbstract:In this paper we present a mixed integer programming model that integrates production lot sizing and scheduling decisions of beverage plants with sequence-dependent setup costs and times. The model considers that the industrial process produces Soft Drink bottles in different flavours and sizes, and it is carried out in two production stages: liquid preparation (stage I) and bottling (stage II). The model also takes into account that the production bottleneck may alternate between stages I and II, and a synchronisation of the production between these stages is required. A relaxation approach and several strategies of the relax-and-fix heuristic are proposed to solve the model. Computational tests with instances generated based on real data from a Brazilian Soft Drink plant are also presented. The results show that the solution approaches are capable of producing better solutions than those used by the company.
Bettina Bringolfisler - One of the best experts on this subject based on the ideXlab platform.
-
screen based sedentary time association with Soft Drink consumption and the moderating effect of parental education in european children the energy study
PLOS ONE, 2017Co-Authors: Mekdes K Gebremariam, Elling Bere, Mai J M Chinapaw, Bettina Bringolfisler, Eva Kovacs, Maite Verloigne, Marijn F Stok, Yannis ManiosAbstract:AIM: The aim of the present study was to explore if children who spend more time on screen-based sedentary behaviors (i.e.TV viewing and computer use) Drink more sugar-sweetened Soft Drinks. The study also assessed whether these associations were independent of individual and home environmental correlates of Soft Drink consumption and whether they were moderated by parental education. METHODS: Data were collected from 7886 children participating in the EuropeaN Energy balance Research to prevent excessive weight Gain among Youth (ENERGY) survey conducted in eight European countries. Self-report questionnaires were used. Multilevel linear regression analyses with Soft Drink consumption as dependent variable, TV viewing and computer use as independent variables and age, gender, parental education, attitude towards Soft Drinks, self-efficacy, parental modelling, parental rules and home availability of Soft Drinks as covariates were conducted. Further interactions were tested to explore if these associations were moderated by parental education. Country-specific analyses were conducted. RESULTS: In six of the eight included countries, a significant positive association was observed between TV viewing (min/day) and Soft Drink consumption (ml/day), independent of individual and home environmental correlates of Soft Drink consumption (B = 0.46 (0.26-0.66) in Greece, B = 0.77 (0.36-1.17) in Norway, B = 0.82 (0.12-1.51) in Hungary, B = 1.06 (0.67-1.46) in Spain, B = 1.21 (0.67-1.74) in Belgium and B = 1.49 (0.72-2.27) in Switzerland). There was no significant association between computer use and Soft Drink consumption in six of the eight included countries in the final models. Moderation effects of parental education in the association between TV viewing and Soft Drink consumption were found in Norway and Hungary, the association being stronger among those with low parental education. CONCLUSIONS: TV viewing appears to be independently associated with Soft Drink consumption and this association was moderated by parental education in two countries only. Reducing TV time might therefore favorably impact Soft Drink consumption.
-
associations between home and family related factors and fruit juice and Soft Drink intake among 10 to 12 year old children the energy project
Appetite, 2013Co-Authors: Wendy Van Lippevelde, Elling Bere, Ilse De Bourdeaudhuij, Mai J M Chinapaw, Maite Verloigne, Yannis Manios, Saskia Te J Velde, Natasa Jan, Juan Miguel Fernandezalvira, Bettina BringolfislerAbstract:The aim of this study is to investigate associations of family-related factors with children's fruit Drink/juice and Soft Drink consumption. A cross-sectional survey among 10- to 12-year-old children and their parents in eight European countries was conducted to gather this data. Key variables of interest were children's self-reported fruit Drink/juice and Soft Drink intake per day (outcome) and family-related factors (based on parents' report) related to these two behaviors (modeling, automaticity, availability, monitoring, permissiveness, negotiating, communicating health beliefs, avoid negative modeling, self-efficacy, rewarding, and family consumption). 7915 Children (52% girls; mean age=11.7 ± 0.8 years) and 6512 parents (83% women; mean age=41.4 ± 5.3 years) completed the questionnaire. Multilevel regression analyses were used to examine the aforementioned associations. Three of the 11 family-related factors (modeling, availability, and family consumption) were positively associated with children's fruit Drink/juice and Soft Drink intake. Additionally, three family-related factors (permissiveness, monitoring, and self-efficacy) were solely associated with Soft Drink intake and one family-related factor (communicating health beliefs) was related to fruit Drink/juice intake. Future interventions targeting children's fruit Drink/juice and Soft Drink intake should focus on the home environment, parents and their practices, especially on parents' fruit Drink/juice and Soft Drink intake and availability of these beverages at home.
Deisemara Ferreira - One of the best experts on this subject based on the ideXlab platform.
-
single stage formulations for synchronised two stage lot sizing and scheduling in Soft Drink production
International Journal of Production Economics, 2012Co-Authors: Deisemara Ferreira, Alistair Clark, Bernardo Almadalobo, Reinaldo MorabitoAbstract:This study deals with industrial processes that produce Soft Drink bottles in different flavours and sizes, carried out in two synchronised production stages: liquid preparation and bottling. Four single-stage formulations are proposed to solve the synchronised two-stage lot sizing and scheduling problem in Soft Drink production synchronising the first stage's syrup lots in tanks with the second stage's Soft Drink lots on bottling lines. The first two formulations are variants of the General Lot Sizing and Scheduling Problem (GLSP) with sequence-dependent setup times and costs, while the other two are based on the Asymmetric Travelling Salesman Problem (ATSP) with different subtour elimination constraints. All models are computationally tested and compared to the original two-stage formulation introduced in Ferreira et al. (2009), using data based on a real-world bottling plant. The results show not only the superiority of the single-stage models if compared to the two-stage formulation, but also the much faster solution times of the ATSP-based models.
-
solution approaches for the Soft Drink integrated production lot sizing and scheduling problem
European Journal of Operational Research, 2009Co-Authors: Deisemara Ferreira, Reinaldo Morabito, Socorro RangelAbstract:In this paper we present a mixed integer programming model that integrates production lot sizing and scheduling decisions of beverage plants with sequence-dependent setup costs and times. The model considers that the industrial process produces Soft Drink bottles in different flavours and sizes, and it is carried out in two production stages: liquid preparation (stage I) and bottling (stage II). The model also takes into account that the production bottleneck may alternate between stages I and II, and a synchronisation of the production between these stages is required. A relaxation approach and several strategies of the relax-and-fix heuristic are proposed to solve the model. Computational tests with instances generated based on real data from a Brazilian Soft Drink plant are also presented. The results show that the solution approaches are capable of producing better solutions than those used by the company.
