Properties of Human Perforated Demineralized Dentin Matrix and its Efficacy for Bone Regeneration In Tri-Cortical Critical Defect of Sheep Iliac Bone

北海道医療大学平成26年

Design, Extraction, and Optimization Tool Flows and Methodologies for Homogeneous and Heterogeneous Multi-Chip 2.5D Systems

Chip and packaging industries are making significant progress in 2.5D design as a result of increasing popularity of their application. In advanced high-density 2.5D packages, package redistribution layers become similar to chip Back-End-of-Line routing layers, and the gap between them scales down with pin density improvement. Chiplet-package interactions become significant and severely affect system performance and reliability. Moreover, 2.5D integration offers opportunities to apply novel design techniques. The traditional die-by-die design approach neither carefully considers these interactions nor fully exploits the cross-boundary design opportunities. This thesis presents chiplet-package cross-boundary design, extraction, analysis, and optimization tool flows and methodologies for high-density 2.5D packaging technologies. A holistic flow is presented that can capture all parasitics from chiplets and the package and improve system performance through iterative optimizations. Several design techniques are demonstrated for agile development and quick turn-around time. To validate the flow in silicon, a chip was taped out and studied in TSMC 65nm technology. As the holistic flow cannot handle heterogeneous technologies, in-context flows are presented. Three different flavors of the in-context flow are presented, which offer trade-offs between scalability and accuracy in heterogeneous 2.5D system designs. Inductance is an inseparable part of a package design. A holistic flow is presented that takes package inductance into account in timing analysis and optimization steps. Custom CAD tools are developed to make these flows compatible with the industry standard tools and the foundry model. To prove the effectiveness of the flows several design cases of an ARM Cortex-M0 are implemented for comparitive study

FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul ?

The dominance of machine learning and the ending of Moore's law have renewed interests in Processor in Memory (PIM) architectures. This interest has produced several recent proposals to modify an FPGA's BRAM architecture to form a next-generation PIM reconfigurable fabric. PIM architectures can also be realized within today's FPGAs as overlays without the need to modify the underlying FPGA architecture. To date, there has been no study to understand the comparative advantages of the two approaches. In this paper, we present a study that explores the comparative advantages between two proposed custom architectures and a PIM overlay running on a commodity FPGA. We created PiCaSO, a Processor in/near Memory Scalable and Fast Overlay architecture as a representative PIM overlay. The results of this study show that the PiCaSO overlay achieves up to 80% of the peak throughput of the custom designs with 2.56x shorter latency and 25% - 43% better BRAM memory utilization efficiency. We then show how several key features of the PiCaSO overlay can be integrated into the custom PIM designs to further improve their throughput by 18%, latency by 19.5%, and memory efficiency by 6.2%.Comment: Accepted in 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL

Health Problems and Health Care Seeking Behaviour of Rohingya Refugees

Background: Rohingya refugees are one of the most vulnerable group due to lack of health care system, personal hygiene, shelter, sanitation and violence. Aim: The present study aims to find out the health problems and health care seeking behavior of rohingya refugees, to identify the socio-demographic information for such exposure group in relation to age, sex, occupation, living areas, to explore the patient’s physical, emotional, perceptions, attitudes and environmental health problems and to bring out health care seeking behavior of refugees. Methodology: A cross-sectional study was conducted. A total of 149 samples were selected conveniently for this study from the refugee camps. Data was collected by using mixed type of questionnaire. Descriptive statistic was used for data analysis which has depicted through tables, pie chart and bar chart. Results: The finding of the study showed that 45.6% participants had multiple problems, followed by 16.8% participants who had other specific problems like musculoskeletal pain, visual problems and peptic ulcer. Urinary tract infection was the leading individual health problem with 11.4% of the sample group having it. 10.7% participants had hypertension, 6% had respiratory tract infection, 3.4% had nutrition deficiency, 4.75% had diabetes mellitus and 1.3% had sanitation & hygiene problems. Among the participants, 68.4% age ranged between 15-59 years. The study showed that, only 16.1% participants were satisfied with the quality of service they received while 37.6% participants said that they needed better services such as more laboratory test, radiological imaging, more medicine and more doctors. Conclusion: It is clear that refugees suffered from a variety of health problems, because their living condition and environmental situation were not similar like an independent nation. Further, basic amenities like medicines and other services were not available

Dentin Materials as Biological Scaffolds for Tissue Engineering

Vital tooth-derived demineralized dentin matrix (DDM) has a bone-inductive ability, while non-vital tooth-derived DDM lost it. Acid treatment for dentin provides the increase of surface area, the release of matrix-binding growth factors such as BMPs, and the decrease of the infection risk. Human autograft of vital tooth-derived DDM was achieved first in Japan 2002, while first bone autograft was noted in Italy 1820. This paper introduced dentin/bone biology and a unique clinical case, combined with two types of non-vital tooth-derived DDM (roots, granules) for lateral bone augmentation. A 63-year-old woman revealed highly atrophic mandible in 2015. Three non-vital teeth were extracted, changed in shape, demineralized in 2% HNO3, were rinsed, and were grafted immediately. The CT images at 3 months after the graft showed remarkable lateral augmentation. DDM scaffolds were received to host, and two fixtures were placed into the DDM-augmented bone. The patient was successfully restored with their own DDM scaffolds and implant surgery

Cardiovascular Disease and Diabetes: Two Sides of the Same Coin!

Cardiovascular disease (CVD) and type 2 diabetes (T2DM) are rapidly rising around the globe. Empirical researches demonstrated rapid increase in mortality and morbidity related to CVD and T2DM. Much of the diabetes-associated morbidity and mortality predominantly reflects its deleterious effect on macrovascular and microvascular diseases. The microvascular complications of T2DM include retinopathy, neuropathy and nephropathy and the macrovascular complications include ischemic heart disease, cerebrovascular disease and peripheral vascular diseases. Research indicates that coronary heart disease (CHD) is the major cause of mortality in people with T2DM. Herein, this chapter reviews relationship between CVD and T2DM, associated complications and effectiveness of relevant treatment modalities to treat/prevent diabetic macrovasculopthy. Macrovascular disease occur due to underlying obstructive atherosclerotic changes of major arteries which cause functional and structural abnormalities of blood vessels. The long-term complications can be controlled and prevented by controlling glycemia, maintaining normal lipid profiles, adopting a healthy lifestyle and using pharmacological interventions. Clinical trials have shown that lifestyle interventions help in prevention and reduction of CVD risk, but evidence for long-term CVD outcomes is lacking. A multidisciplinary approach involving patients, health professionals and researchers and governments should be undertaken to reduce the incidence and prevalence of diabetes-related cardiovascular complications

Patient Satisfaction in Chamber Setting in Bangladesh measured by Patient-Doctor Relationship Questionnaire (PDRQ-9 Bangla)

Background: Assessment of patient satisfaction is crucial but there is significant lagging in this sector. Patient satisfaction is an important indicator of health care quality as well as a predictor of treatment adherence. The Good patient-doctor relationship is considered as an integral part of the patient satisfaction. In Bangladesh, this domain is yet to be explored in a large scale. Aim: It was aimed to look into the patient satisfaction level in chamber setting in Bangladesh measured using the patient-doctor relationship questionnaire (PDRQ-9 Bangla). Methods: PDRQ-9 is a short yet excellent tool for assessing the patient-doctor relationship. The data collection was done in private chamber setting by the PDRQ-9 and analyzed. Results: Though the result was not completely in line with the existing literature, the PDRQ-9 was found to be a useful and brief measurement tool in the context of the patient-doctor relationship. Conclusion: Large-scale research in this particular aspect of patient satisfaction in future may provide a more succinct resul

Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

The prevalence and mobility of smartphones make these a widely used tool for environmental health research. However, their potential for determining aggregated air quality index (AQI) based on PM2.5 concentration in specific locations remains largely unexplored in the existing literature. In this paper, we thoroughly examine the challenges associated with predicting location-specific PM2.5 concentration using images taken with smartphone cameras. The focus of our study is on Dhaka, the capital of Bangladesh, due to its significant air pollution levels and the large population exposed to it. Our research involves the development of a Deep Convolutional Neural Network (DCNN), which we train using over a thousand outdoor images taken and annotated. These photos are captured at various locations in Dhaka, and their labels are based on PM2.5 concentration data obtained from the local US consulate, calculated using the NowCast algorithm. Through supervised learning, our model establishes a correlation index during training, enhancing its ability to function as a Picture-based Predictor of PM2.5 Concentration (PPPC). This enables the algorithm to calculate an equivalent daily averaged AQI index from a smartphone image. Unlike, popular overly parameterized models, our model shows resource efficiency since it uses fewer parameters. Furthermore, test results indicate that our model outperforms popular models like ViT and INN, as well as popular CNN-based models such as VGG19, ResNet50, and MobileNetV2, in predicting location-specific PM2.5 concentration. Our dataset is the first publicly available collection that includes atmospheric images and corresponding PM2.5 measurements from Dhaka. Our code and dataset will be made public when publishing the paper.Comment: 18 pages, 7 figures, submitted to Nature Scientific Report

Perceptions of medical students regarding community-based teaching experiences: an observation from Bangladesh

Introduction: Community orientation in medical education, which prepares medical students to become more effective practitioners, is now a global movement. Many medical schools around the world have adopted the concept as the main curricular framework in order to align learning programs with the needs of the community and the learner. Despite many changes over the past few decades, many improvements are still needed in medical education in Bangladesh. This study investigated medical students’ perceptions of the community-based learning experiences incorporated into the Bachelor of Medicine, Bachelor of Surgery (MBBS) degree at Uttara Adhunik Medical College, Dhaka (UAMC), Bangladesh. Methods: A total of 135 students from three undergraduate year levels of the MBBS degree at UAMC, Dhaka, Bangladesh, undertook study tours (community-based teaching, CBT) as a part of a community medicine course and visited a medical college, two rural health centres and a meteorology centre in the Cox’s Bazar district, 400 km from Dhaka city. A questionnaire was used to assess the perceptions of students regarding the administration, organisation and learning experiences of the study tours. Students were required to write reports, present their findings and answer questions in their examinations related to the study tours and CBT. Results: The majority of the students agreed or strongly agreed that the tour was a worthwhile (93%) and enjoyable (95%) learning experience that helped them to understand rural health issues (91%). More than half of the students reported that the study tours increased their awareness about common rural health problems (54%) and provided a wider exposure to medicine (61%). Only 41% of students reported that the study tour increased their interest in undertake training in a rural area. A substantial number of students also expressed their concerns about the planning, length, resources, finance and organisation of the study tours. Conclusions: Overall, the study tours had a positive effect, enhancing students’ awareness and understanding of common rural health problems. As study tours failed to increase the motivation of the students (approximately 60%) to work in rural areas, CBT in the medical curriculum should be reviewed and implemented using effective and evidence-based models to promote interest among medical students to work in rural and underserved or unserved areas