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Observing social/physical distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present a novel method to automatically detect pairs of humans in a crowded scenario who are not maintaining social distancing, i.e. about 2 meters of space between them using an autonomous mobile robot and existing CCTV (Closed-Circuit TeleVision) cameras. The robot is equipped with commodity sensors, namely an RGB-D (Red Green Blue—Depth) camera and a 2-D lidar to detect social distancing breaches within their sensing range and navigate towards the location of the breach. Moreover, it discreetly alerts the relevant people to move apart by using a mounted display. In addition, we also equip the robot with a thermal camera that transmits thermal images to security/healthcare personnel who monitors COVID symptoms such as a fever. In indoor scenarios, we integrate the mobile robot setup with a static wall-mounted CCTV camera to further improve the number of social distancing breaches detected, accurately pursuing walking groups of people etc. We highlight the performance benefits of our robot + CCTV approach in different static and dynamic indoor scenarios.

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Background: Breast carcinoma is the most common malignant tumour and leading cause of cancer death among women worldwide. VEGF being a powerful mediator of angiogenesis, plays a major role in local growth as well as metastasis of many solid tumours including breast carcinoma. Objective: This study aimed to evaluate the significance of VEGF expression in breast cancer and its correlation with prognostic parameters. Materials and methods: This study was conducted over a period of one year (February 2015 to January 2016). VEGF expression was evaluated in 57 histologically diagnosed cases of breast carcinoma with known ER and HER-2/neu status. Result: Among 57 cases 52(91.2%) were positive for VEGF. Positive ER expression was seen in 39 cases which is 64.8% of total cases. 54% of the total cases were positive for HER-2/neu. VEGF expression was positively correlated (P value <0.05) with tumour grade, tumour size and negatively correlated with ER (p<0.005) and HER-2/neu (p<0.005). Significant correlation also found with tumour type (p<.005). Conclusion: Considering the observations of the current study, it can be concluded that VEGF may play a crucial role in the pathogenesis of breast carcinoma and has a positive correlation with biologically aggressive tumour. So consideration of this biomarker (VEGF) is to be regarded as a prognostic parameter and critical evaluator of targeted chemotherapy Bangladesh Journal of Medical Science Vol.18(3) 2019 p.513-518