Linking Scheme code to data-parallel CUDA-C code

In Compute Unified Device Architecture (CUDA), programmers must manage memory operations, synchronization, and utility functions of Central Processing Unit programs that control and issue data-parallel general purpose programs running on a Graphics Processing Unit (GPU). NVIDIA Corporation developed the CUDA framework to enable and develop data-parallel programs for GPUs to accelerate scientific and engineering applications by providing a language extension of C called CUDA-C. A foreign-function interface comprised of Scheme and CUDA-C constructs extends the Gambit Scheme compiler and enables linking of Scheme and data-parallel CUDA-C code to support high-performance parallel computation with reasonably low overhead in runtime. We provide six test cases — implemented both in Scheme and CUDA-C — in order to evaluate performance of our implementation in Gambit and to show 0–35% overhead in the usual case. Our work enables Scheme programmers to develop expressive programs that control and issue data-parallel programs running on GPUs, while also reducing hands-on memory management

Artificial Intelligence Based Smart Waste Management—A Systematic Review

Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intelligence offers various approaches which can help to construct smart waste management systems. AI based systems are used to tackle complicated problems, handle uncertainty, and exhibit the efficiency of smart systems. This article aims to conduct systematic literature review on artificial intelligent-based smart waste management systems. In this study, we have identified and analyzed 40 research papers published between the years 2001 to 2021. These papers have proposed various frameworks and smart models for different types of waste management. The main goal of this study is to summarize the findings of selected research papers, provide comprehensive analysis and identify the future research avenues of waste management. This chapter has addressed various waste management domains like municipal solid waste management, smart bin management, domestic waste management, medical waste management, construction and industrial waste management, and so on. Furthermore, categorical representation of most extensively used machine learning and deep learning algorithms along with their contribution have been elaborately discussed as well.Post-print / Final draf

Expression of Heterosis for Productive Traits in Bottle Gourd Hybrids

A study was conducted in bottle gourd to estimate the magnitude of heterosis for yield and its thirteen yield related components. Twenty one bottle gourd hybrids generated from 7 × 7 diallel cross (excluding reciprocals) along with their seven parents evaluated in a Randomized Block Design with three replication at at the Olericulture Division of Horticulture Research Centre, Bangladesh Agricultural Research Institute (BARI), Gazipur, Bangladesh during 2018-19. Most of the crosses showed significant heterobeltiosis for earliness. The highest heterobeltiotic effect was observed in the cross P2XP7 and P4XP7. The best heterotic cross for fruit length was P4XP5. Maximum heterotic effect in respect of fruit number per plant was found in the cross P1XP6 and P4XP6. In terms of yield per plant the highest heterobeltiosis was shown by the crosses P3XP4, P3XP5, P4XP5 and P4XP7. In the overall analysis, both additive and non-additive gene actions were found important with predominance of the additive gene effects in the inheritance of bottle gourd

A Decision Support Model for Barriers and Optimal Strategy Design in Sustainable Humanitarian Supply Chain Management

Sustainable humanitarian supply chain (SHSC) management enables effective and efficient responses to natural and human-made disasters. Existing literature falls short of offering decision support (DS) models to address the barriers and strategies to designing SHSC. To this end, this study develops a DS model that identifies and prioritizes the barriers to SHSC and determines optimal strategies for mitigating those barriers. This study adopted both qualitative and quantitative approaches. As part of the qualitative approach, a field study was applied using in-depth interviews to determine the barriers and corresponding strategies, while under the quantitative approach, a quality function deployment (QFD) integrated optimization technique was used to prioritize barriers and determine optimal strategies to mitigate the SHSC barriers. The study found that a lack of contingency planning, the prevalence of corruption and political interference, and a lack of social and environmental awareness are the most important barriers, while logistics outsourcing, supply chain (SC) performance management, and SC flexibility are the most essential strategies. We also found that our DS model is highly flexible and can be adapted under different scenarios, which makes the model applicable to different contexts. This study has a significant contribution to literature and practice. We developed a novel decision model that captured cost savings and leveraged both cost and time savings from interrelated strategies to determine the best optimal strategy while applying QFD-integrated optimization modeling. The paper’s findings will assist humanitarian SC managers in designing an effective, efficient, and sustainable humanitarian SC

Beliefs related to the dying process and its impact on end-of-life care in the Marma community of Bangladesh: A qualitative study

Background: Marma indigenous community in Bangladesh has a unique culture with its religion, culture, language, and tradition. To provide appropriate healthcare and end-of-life support, healthcare providers must know their beliefs and customs near and after death. We explored the beliefs related to the dying process and its impact on end-of-life care in the Marma community of Bangladesh. Methods: This cross-sectional qualitative study used an open-ended interview schedule for in-depth interviews. Twenty-six interviewees were selected purposively from the Marma community of Bandarban district to represent a population of different ages with varied experiences and religious knowledge. After each in-depth interview, all field notes and audio records were transcribed verbatim, and qualitative content analysis was done to construct the themes. Results: After analysis, the generated theme indicated a ‘reflection of previous Karma (the sum of a person\u27s actions)’ within the Marma community. This theme is based on three categories: \u27state of the body and mind’, ‘care of a dying person’, and ‘beliefs on the dying process’. Conclusion: Death is inevitable for all of us, but suffering in death is not desired. Like other communities around the world, the Marma community also holds its own beliefs and practices regarding end-of-life care related to death. The death of a person in his own house is considered a good death within the Marma community. In the traditional death ritual practices of the Marma community, palliative care in the form of end-of-life care has the potential to enhance the quality of life, alleviate suffering, and enable a peaceful passing with dignity. angabandhu Sheikh Mujib Medical University Journal 2023;16(3): 144-15

Creating the conditions for scaling up the integration of reproductive health services for men in health and family welfare centers in Bangladesh

An operations research study, supported by the Population Council’s Frontiers in Reproductive Health (FRONTIERS) program, showed that reproductive health services for men could be feasibly and acceptably integrated within the Health and Family Welfare Centres in Bangladesh, which have been primarily women-centered health facilities. Given these findings, a follow-up study was implemented to create the conditions for scaling up the model through identifying and piloting the operational details to consider when taking the intervention to scale. The findings presented in this report suggest that this model of service delivery and training can be scaled up countrywide, preferably in stages. To ensure compliance with systematic screening by all providers, the report recommends instituting supportive supervision, especially during the early stages of expansion, and holding clinical training in a facility where many RTI/STI cases are treated (such as a district hospital)

Effect of an Enhanced Self-Care Protocol on Lymphedema Status among People affected by Moderate to Severe Lower-Limb Lymphedema in Bangladesh, a Cluster Randomized Controlled Trial

Background: Lymphatic filariasis (LF) is a major cause of lymphedema, affecting over 16 million people globally. A daily, hygiene-centered self-care protocol is recommended and effective in reducing acute attacks caused by secondary infections. It may also reverse lymphedema status in early stages, but less so as lymphedema advances. Lymphatic stimulating activities such as self-massage and deep-breathing have proven beneficial for cancer-related lymphedema, but have not been tested in LF-settings. Therefore, an enhanced self-care protocol was trialed among people affected by moderate to severe LF-related lymphedema in northern Bangladesh. Methods: Cluster randomization was used to allocate participants to either standard- or enhanced-self-care groups. Lymphedema status was determined by lymphedema stage, mid-calf circumference, and mid-calf tissue compressibility. Results: There were 71 patients in each group and at 24 weeks, both groups had experienced significant improvement in lymphedema status and reduction in acute attacks. There was a significant and clinically relevant between-group difference in mid-calf tissue compressibility with the biggest change observed on legs affected by severe lymphedema in the enhanced self-care group (∆ 21.5%, −0.68 (−0.91, −0.45), p < 0.001). Conclusion: This study offers the first evidence for including lymphatic stimulating activities in recommended self-care for people affected by moderate and severe LF-related lymphedem

Recent evolution in thermochemical transformation of municipal solid wastes to alternate fuels

The management of solid waste poses a worldwide obstacle in the pursuit of a sustainable society. This issue has intensified with the increase in waste production caused by rapid population expansion, industrialization, and urbanization. The continuously growing volume of municipal solid waste, particularly the substantial volume of organic waste, along with improper disposal practices, results in the release of greenhouse gases and other harmful airborne substances which simultaneously causes health risks and socioeconomic concerns. This article examines various waste-to-energy (energy production in the form of heat and electricity) concepts as well as waste-to-materials (various value-added materials including biofuel, biochemical, char, bio-oil, soil fertilizer, etc.) methods of converting municipal solid waste into environmentally friendly fuels, which appear to be economically feasible and attractive. It starts with a thorough analysis of the characteristics of municipal solid waste followed by the generation procedure. The study provides an overview of different thermochemical conversion methods including incineration, pyrolysis, co-pyrolysis, liquefaction, hydrothermal carbonization, gasification, combustion for transformation of municipal solid waste, and their recent advancement. The review comprehensively discussed the pros and cons of each method highlighting their strength, weakness, opportunities, and threats to transforming MSW. The current state of municipal solid waste management, including effective dumping and deviation, is comprehensively assessed, along with the prospects and challenges involved. Energy justice concepts and fuzzy logic tool is used to address the selection criteria for choosing the best waste treatment techniques. Moreover, several recommendations are offered to enhance the existing solid waste management system. This review could assist scholars, researchers, authorities, and stakeholders in making informed decisions regarding MSW management

Investigation on microstructure and hardness of aluminium-Aluminium oxide functionally graded material

This study investigated the microstructure and hardness of aluminium-aluminium oxide (Al-Al2O3) functionally graded material (FGM). Preparation of metal-ceramic functionally graded material was carried out following powder metallurgy (PM) route. Four-layered aluminium-aluminium oxide (Al-Al2O3) graded composite structure was processed using 0%, 5%, 10% and 15% (from first layer to fourth layer) aluminium oxide as ceramic concentration. A cylindrical steel die was used for the fabrication process of the FGM green compact. The green compact was prepared by applying cold pressing technique using a hydraulic press. The sintering process was implemented at 600 °C sintering temperature and 3 h sintering time using 2-step cycle. Microstructural characterization of the sample was conducted layer by layer using high resolution optical microscopy (OM). Hardness of the sample was also performed layer by layer using Vickers microhardness tester. The obtained results revealed that there is a uniform ceramic particle distribution within the metallic phase. From the microstructural observation it was clear that smooth transition occurred from one layer to next layer and each interface was distinct. It was also observed that there is a steady increase in layer hardness with the increase in ceramic concentration