This paper concerns the design space exploration (DSE) of Reconfigurable Multi- Processor System-on- Chip (MPSoC) architectures. Reconfiguration allows users to allocate optimum system resources for a specific application in such a way to improve the energy and throughput balance. To achieve the best balance between power consumption and throughput performance for a particular application domain, typical design space parameters for a multi-processor architecture comprise the cache size, the number of processor cores and the operating frequency. The exploration of the design space has always been an offline technique, consuming a large amount of time. Hence, the exploration has been unsuitable for reconfigurable architectures, which require an early runtime decision. This paper presents Approximate Computing DSE (AC-DSE), an online technique for the DSE of MPSoCs by means of approximate computing. In AC-DSE, design space solutions are first obtained from a set of optimization algorithms, which in turn are used to train a neural network (NN). From then on, the NN can be used to rapidly return its own solutions in the form of design space parameters for a desired energy and throughput performance, without any further training.
<i>Background</i>: In recent years, psychological stress has lead to increase in suicide cases readily among medical students of many countries. This study aims determine the prevalence of psychological stress, major depressive disorder, and suicidal ideation in Bachelor of Medicine and Bachelor of Surgery (MBBS) students of a government setup medical university in Pakistan. <i>Methods</i>: The data was gathered using a valid questionnaire containing 10 items Kessler psychological distress scale. The scale consists of the severity of the psychological distress from well, mild, moderate, and severe. Physical health questionnaire 2(PHQ2) was used for identifying the students with major depressive illness. Suicidal ideation was assessed using item no. 9 from PHQ9 questionnaire. <i>Results</i>: The overall prevalence of suicidal ideation, distress and major depression among 353 students of MBBS was 22.9%, 63.1%, 27.8% respectively. The students with major depression and moderate/severe distress are more probable to think about suicide. Moreover, Students who choose medicine under the family influence are more likely to have suicidal ideation. Besides this, we found that particularly females experience higher psychological distress as compared to males. <i>Conclusion</i>: In the overall study, it is identified that suicidal ideation is strongly correlated to depression and distress. However, controlling these factors at an early stage can prevent the suicidal thoughts, which inevitably can reduce the suicide attempts not only in medical students but could also be valuable for students of different fields.
Abstract Background: In recent years, psychological stress has lead to increase in suicide cases readily among medical students of many countries. This study aims determine the prevalence of psychological stress, major depressive disorder, and suicidal ideation in Bachelor of Medicine and Bachelor of Surgery (MBBS) students of a government setup medical university in Pakistan. Methods: The data was gathered using a valid questionnaire containing 10 items Kessler psychological distress scale. The scale consists of the severity of the psychological distress from well, mild, moderate, and severe. Physical health questionnaire 2(PHQ2) was used for identifying the students with major depressive illness. Suicidal ideation was assessed using item no. 9 from PHQ9 questionnaire.11,17 Results: The overall prevalence of suicidal ideation, distress and major depression among 353 students of MBBS was 22.9%, 63.1%, 27.8% respectively. The students with major depression and moderate/severe distress are more probable to think about suicide. Moreover, Students who choose medicine under the family influence are more likely to have suicidal ideation. Besides this, we found that particularly females experience higher psychological distress as compared to males. Conclusion: In the overall study, it is identified that suicidal ideation is strongly correlated to depression and distress. However, controlling these factors at an early stage can prevent the suicidal thoughts, which inevitably can reduce the suicide attempts not only in medical students but could also be valuable for students of different fields.
Emergence of modern multicore architectures has made runtime reconfiguration of system resources possible. All reconfigurable system resources constitute a design space and the proper selection of configuration of these resources to improve the system performance is known as Design Space Exploration (DSE). This reconfiguration feature helps in appropriate allocation of system resources to improve the efficiency in terms of performance, energy consumption, throughput, etc. Different techniques like exhaustive search of design space, architect’s experience, etc. are used for optimization of system resources to achieve desired goals. In this work, we hybridized two optimization algorithms, i.e., Genetic Algorithm (GA) and Estimation of Distribution Algorithm (EDA) for DSE of computer architecture. This hybrid algorithm achieved optimal balance between two objectives (minimal energy consumption and maximal throughput) by using decision variables such as number of cores, cache size and operating frequency. The final set of optimal solutions proposed by this GA–EDA hybrid algorithm is explored and verified by running different benchmark applications derived from SPLASH-2 benchmark suite on a cycle level simulator. The significant reduction in energy consumption without extensive impact on throughput in simulation results validate the use of this GA–EDA hybrid algorithm for DSE of multicore architecture. Moreover, the simulation results are compared with that of standalone GA, EDA and fuzzy logic to show the efficiency of GA–EDA hybrid algorithm.
Health systems are expected to serve the population needs in an effective, efficient and equitable manner. The factors determining the health behaviors may be seen in various contexts physical, socio-economic, cultural and political. Therefore, the utilization of a health care system, public or private, formal or non-formal, may depend on socio-demographic factors, social structures, level of education, cultural beliefs and practices, gender discrimination, status of women, economic and political systems environmental conditions, and the disease pattern and health care system itself. Policy makers need to understand the drivers of health seeking behavior of the population in an increasingly pluralistic health care system. Also a more concerted effort is required for designing behavioral health promotion campaigns through inter-sectoral collaboration focusing more on disadvantaged segments of the population. The paper reviews the health care providers, the national policies emphasizing health services as well as health care systems in Pakistan and the role of the pharmacist in health care system of Pakistan, health and economics of Pakistan and current budgeting policies and the importance of non government organizations in health care system of Pakistan.
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