3,810 research outputs found

    The relationship of Self-care and Health Literacy with Mental Health among Citizens of Tabriz City

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    Background & Objectives: The importance of mental health in personal and social life of people as well as the high cost of health services in today's world necessitates people to attempt for acquiring personal skills for maintaining and improving their health. In this regard, self-care and health literacy, as dynamic and available tools for individuals, can play a decisive role in promoting equity in mental health. Methods: This study was a descriptive-analytic study performed on 414 citizens over 15 years of age in Tabriz, Iran who were selected through multi-stage cluster sampling. Data gathering was done using general health questionnaire with three dimensions, literacy questionnaire consisted of five dimensions of reading comprehension, access, understanding, evaluation and decision making and a researcher-made questionnaire about self-care. Data analysis was performed using t-test, Fisher test, Pearson correlation coefficient and multivariate linear regression and through SPSS22 software. Results: Mean score of mental health was 58.38, mean score of self-care was 54.46 and mean score of health literacy was 77.20. There was a significant and direct relationship between mental health and variables of age, marital status, education level, and self-care. Conclusion: The present study emphasizes on the importance of training on and accepting responsibility for mental health. People can maintain and improve their health and accept responsibility in this regard through acquiring sufficient knowledge on health aspects. Key¬words: Health literacy, Self-care, Mental health, Citizens ¬Citation: Alizadeh Aghdam MB, Koohi K, Gholizadeh M. The relationship of Self-care and Health Literacy with Mental Health among Citizens of Tabriz City. Journal of Health Based Research 2017; 2(4): 381-394

    The effect of constraints on bi-objective optimisation of geodetic networks

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    One of the problems in the single-objective optimisation models (SOOMs) foroptimising geodetic networks is the contradiction of the controlling constraints, which maylead to their violation or infeasibility in the optimisation process. One way to solve thisproblem is to use a bi-objective optimisation model (BOOM) instead of SOOMs. In thispaper, we will use the BOOM of precision and reliability and investigate the influence ofthe controlling constraints in a two-dimensional simulated network. Our studies show thatthe unconstrained BOOM is a good model, which almost fulfils our precision and reliabilitydemands of the network. This model is also economical as more observables are removedfrom the plan whilst adding the controlling constraints leads to including more observables,which have no significant role.</p

    ABC: A Simple Explicit Congestion Controller for Wireless Networks

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    We propose Accel-Brake Control (ABC), a simple and deployable explicit congestion control protocol for network paths with time-varying wireless links. ABC routers mark each packet with an "accelerate" or "brake", which causes senders to slightly increase or decrease their congestion windows. Routers use this feedback to quickly guide senders towards a desired target rate. ABC requires no changes to header formats or user devices, but achieves better performance than XCP. ABC is also incrementally deployable; it operates correctly when the bottleneck is a non-ABC router, and can coexist with non-ABC traffic sharing the same bottleneck link. We evaluate ABC using a Wi-Fi implementation and trace-driven emulation of cellular links. ABC achieves 30-40% higher throughput than Cubic+Codel for similar delays, and 2.2X lower delays than BBR on a Wi-Fi path. On cellular network paths, ABC achieves 50% higher throughput than Cubic+Codel
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