Modelling and Analysis of CdS/CZTSSe Based Thin Film Solar Cell

Solar cells with a High efficiency and desire characteristics are modelled by considering the characteristics of the materials. An earth-abundant material Cu2ZnSn2(S, Se)4 (CZTSSe) could be a wise choice for the solar cell material with a band gap of 1.24ev. In this paper, we made a model and try to represent an analysis of effect on J-V characteristics and quantum efficiency of CdS/CZTSSe based solar cell during varying material and optical properties includes emitter width, carrier life time and resistances. From this model we can easily understand the effect of material and optical properties and graphical analysis of proposed solar cell

A Comparative Study on the Properties of Natural, Synthetic and Steel Fibre Reinforced Concrete

The use of fibers in concrete at relatively low volume fraction has been gaining rising popularity among researchers for the recent years due to its availability, ability to enhance overall performance and cost effectiveness. Fibers are mainly classified according to their origin. Numerous researches have been carried out with natural and artificial fibers separately to elucidate its effect on the various parameters of concrete. However, a little finding is available about the comparative study among these three distinct types of fibers affecting concrete properties. In this study coconut coir, nylon thread and low-cost galvanized iron wire have been selected as natural, synthetic and steel fibers respectively. Coconut coir and nylon thread were mixed at three different percentage of 1.5%, 2.5% and 3.5% respectively by weight of cement. Steel fibre contents 1.5%, 2.5% and 3.5% respectively by weight of concrete. The results were obtained through an experimental investigation that shows the influence of natural, synthetic and steel fibers on rheological and mechanical properties of concrete. Optimum fibre content was 2.5% where steel fibre shows a maximum 17% and 30% rise in compressive and flexure strength respectively. On the other hand, fibres play a great role with its combining effect on the post cracking ductility and energy absorption of concrete

Atmospheric Influence on the Path Loss at High Frequencies for Deployment of 5G Cellular Communication Networks

Over the past few decades, the development of cellular communication technology has spanned several generations in order to add sophisticated features in the updated versions. Moreover, different high-frequency bands are considered for advanced cellular generations. The presence of updated generations like 4G and 5G is driven by the rising demand for a greater data rate and a better experience for end users. However, because 5G-NR operates at a high frequency and has significant propagation, atmospheric fluctuations like temperature, humidity, and rain rate might result in poorer signal reception, and higher path loss effects unlike the prior generation, which employed frequencies below 6 GHz. This paper makes an attempt to provide a comparative analysis about the influence of different relative atmospheric conditions on 5G cellular communication for various operating frequencies in any urban microcell (UMi) environment maintaining the real outdoor propagation conditions. In addition, the simulation dataset based on environmental factors has been validated by the prediction of path loss using multiple regression techniques. Consequently, this study also aims to address the performance analysis of regression techniques for stable estimations of path loss at high frequencies for different atmospheric conditions for 5G mobile generations due to various possible radio link quality issues and fluctuations in different seasons in South Asia. Furthermore, in comparison to contemporary studies, the Machine Learning models have outperformed in predicting the path loss for the four seasons in South Asian regions.Comment: Accepted for presentation at THE 14th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT

Change of lipid profile in children with acute lymphoblastic leukemia due to induction chemotherapy in a tertiary care hospital of Bangladesh

Background: Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy. In the Department of Paediatric Haematology and Oncology of Bangabandhu Sheikh Mujib Medical University (BSMMU), 58% of ALL cases were recorded among 455 newly diagnosed malignancy patients in a single year. Studies found that remarkable hypertriglyceridemia occurs with L-asparaginase therapy and steroid. This study was done to evaluate the changes of serum total cholesterol, triglycerides (TG), high density lipoprotein (HDL), and low-density lipoprotein (LDL) during and after induction chemotherapy in children with ALL. Methods: This prospective observational study was performed in the Department of Pediatric Hematology and Oncology of BSMMU from March-November 2013. Newly diagnosed acute lymphoblastic leukemia patients aged 3-15 years were included in this study after having written consent from the parents of the participants to participate in the study and enrolled for the treatment of ALL (according to modified UKALL 2003 protocol). Results: Total cholesterol, TG, HDL, and LDL changed significantly due to induction therapy. Serum total cholesterol and LDL decreased after completion of L-asparaginse in comparison to before induction, increased significantly after completion of induction in comparison to after completion of L-asparaginase (P=0.001), and increased significantly after induction in relation to before induction therapy (P=0.003). TG decreased significantly (P=0.033) after completion of L-asparaginase than before induction but increased after completion of induction. HDL increased after completion of L-asparaginase and after induction significantly (P=0.001). LDL decreased after completion of L asparaginase which was significant (P=0.005). Conclusion: After induction chemotherapy, total cholesterol, HDL and LDL level increased and TG level decreased among ALL patients. Bangabandhu Sheikh Mujib Medical University Journal 2023;16(1): 35-40

Change of lipid profile in children with acute lymphoblastic leukemia due to induction chemotherapy in a tertiary care hospital of Bangladesh

Background: Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy. In the Department of Paediatric Haematology and Oncology of Bangabandhu Sheikh Mujib Medical University (BSMMU), 58% of ALL cases were recorded among 455 newly diagnosed malignancy patients in a single year. Studies found that remarkable hypertriglyceridemia occurs with L-asparaginase therapy and steroid. This study was done to evaluate the changes of serum total cholesterol, triglycerides (TG), high density lipoprotein (HDL), and low-density lipoprotein (LDL) during and after induction chemotherapy in children with ALL. Methods: This prospective observational study was performed in the Department of Pediatric Hematology and Oncology of BSMMU from March-November 2013. Newly diagnosed acute lymphoblastic leukemia patients aged 3-15 years were included in this study after having written consent from the parents of the participants to participate in the study and enrolled for the treatment of ALL (according to modified UKALL 2003 protocol). Results: Total cholesterol, TG, HDL, and LDL changed significantly due to induction therapy. Serum total cholesterol and LDL decreased after completion of L-asparaginse in comparison to before induction, increased significantly after completion of induction in comparison to after completion of L-asparaginase (P=0.001), and increased significantly after induction in relation to before induction therapy (P=0.003). TG decreased significantly (P=0.033) after completion of L-asparaginase than before induction but increased after completion of induction. HDL increased after completion of L-asparaginase and after induction significantly (P=0.001). LDL decreased after completion of L asparaginase which was significant (P=0.005). Conclusion: After induction chemotherapy, total cholesterol, HDL and LDL level increased and TG level decreased among ALL patients. Bangabandhu Sheikh Mujib Medical University Journal 2023;16(1): 35-40

A Survey on Virtualization of Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are gaining tremendous importance thanks to their broad range of commercial applications such as in smart home automation, health-care and industrial automation. In these applications multi-vendor and heterogeneous sensor nodes are deployed. Due to strict administrative control over the specific WSN domains, communication barriers, conflicting goals and the economic interests of different WSN sensor node vendors, it is difficult to introduce a large scale federated WSN. By allowing heterogeneous sensor nodes in WSNs to coexist on a shared physical sensor substrate, virtualization in sensor network may provide flexibility, cost effective solutions, promote diversity, ensure security and increase manageability. This paper surveys the novel approach of using the large scale federated WSN resources in a sensor virtualization environment. Our focus in this paper is to introduce a few design goals, the challenges and opportunities of research in the field of sensor network virtualization as well as to illustrate a current status of research in this field. This paper also presents a wide array of state-of-the art projects related to sensor network virtualization

Prevalence and Risk Factors of Postpartum Depression Within One Year After Birth in Urban Slums of Dhaka, Bangladesh

Postpartum depression (PPD) is a serious pubic health concern and known to have the adverse effects on mother’s perinatal wellbeing; and child’s physical and cognitive development. There were limited literatures on PPD in Bangladesh, especially in urban slum context. The aim of this study was to assess the burden and risk factors of PPD among the urban slum women. A cross-sectional study was conducted between November-December 2017 in three urban slums on 376 women within first 12 months of postpartum. A validated Bangla version of Edinburgh Postnatal Depression Scale was used to measure the depression status. Respondent’s socio-economic characteristics and other risk factors were collected with structured validated questionaire by trained interviewers. Unadjusted Prevalence Ratio (PR) and Adjusted Prevalence Ratio (APR) were estimated with Generalized Linear Model (GLM) and Generalized Estimating Equation (GEE) respectively to identify the risk factors of PPD. The prevalence of PPD was 39.4% within first 12 months following the child birth. Job involvement after child delivery (APR = 1.9, 95% CI = 1.1, 3.3), job loss due to pregnancy (APR = 1.5, 95% CI = 1.0, 2.1), history of miscarriage or still birth or child death (APR = 1.4, 95% CI = 1.0, 2.0), unintended pregnancy (APR = 1.8, 95% CI = 1.3, 2.5), management of delivery cost by borrowing, selling or mortgaging assets (APR = 1.3, 95% CI = 0.9, 1.9), depressive symptom during pregnancy (APR = 2.5, 95% CI = 1.7, 3.8) and intimate partner violence (APR = 2.0, 95% CI = 1.2, 3.3), were identified as risk factors. PPD was not associated with poverty, mother in law and any child related factors. The burden of postpartum depression was high in the urban slum of Bangladesh. Maternal mental health services should be integrated with existing maternal health services. Research is required for the innovation of effective, low cost and culturally appropriate PPD case management and preventive intervention in urban slum of Bangladesh

Impact of Sensor Networks on Aquatic Biodiversity in Wetland: An Innovative Approach

Aquatic biodiversity is in the central field of environmental conservation issues in a wetland. Yet it determinately faced aquatic conservation authorities the loss of biodiversity as a very important global issue for several years due to misuse wireless sensor technology. The study attempts to re-look at the sensor networks that affect the aquatic biodiversity within and around the Tanguar Haor- wetland study at Sunamganj district in Bangladesh. Key aquatic conservation tools provided at the Tanguar Haor and its challenges with gaps in policies for wetland management practices are highlighted. The study shows the aquatic biodiversity-related rules and regulations amended were apex in Bangladesh from 2010 to 2018. The study represents the impact of processed sensor networks on aquatic biodiversity in a wetland to be compared to larger, medium, and smaller animals in a bright, dark and optimum environment, facilitating the design and misuse of wireless sensor networks within GPS locations. Approximately 64% of the respondents agreed on the development of aquatic biodiversity for managing the wetland at Sunamganj with secure peripheral sensor networks. The research also found that the Tanguar Haor is at risk due to misuse of wireless sensor networks compared to other wetlands in the Sylhet Division. Scientific knowledge is indispensable in wetland resource management but it poorly identified such knowledge while various performances are still below par. The research is unique and represents the innovative idea to improve the existing wetland policy linking with the appropriateness for the Ramsar Wetland Conservation Strateg