The task of detection of floor area for mobile robot navigation has received immense importance over the years. The main challenging problem as long as the path planning of robots is concerned, is the obstacle avoidance. Obstacle detection and avoidance in real time is a complex and computationally expensive process as a result of which the robotics researchers opted to segment out floors, which is comparatively easier process and at the same time very much feasible in real time applications. The proposed floor segmentation algorithm detects floor from a scene irrespective of the change of illumination as well as shadows. A conventional breadth first search based region growing technique has been used with histogram based features in YCbCr color space and floor junction masking to detect the floor pixels from the scene. The algorithm has been compared with various other existing techniques to showcase the improved results of the proposed one.

Introduction: Chronic Kidney Disease is an independent risk factor for pneumonia. The risk of hospitalization, Intensive Care Unit and ventilator requirement, in-hospital death is high in pneumonia patients with chronic kidney disease. This study aims to find the prevalence of pneumonia in patients with chronic kidney disease admitted to nephrology department of a tertiary care center. Methods: A descriptive cross-sectional study was conducted among all the hospital records of pneumonia patients with Chronic Kidney Disease admitted to the Nephrology department between April 2019 and April 2021. Ethical clearance was obtained from the Institutional Review Committee of same institute (Reference number: 0505202106). Statistical Package for the Social Sciences version 20 was used for analysis. Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. Results: Of the total 407 patients with Chronic Kidney Disease, 78 (19.1%) (95% Confidence Interval= 15.28-22.92) had pneumonia. Among the 78 pneumonia patients, 17 (21.8%) were Stage 3, 13 (16.7%) Stage 4 and 48 (61.5%) Stage 5 of chronic kidney disease. Forty Seven (60.3%) required Intensive Care Unit (ICU), 19 (24.4%) required ventilator and 22 (28.2%) of the patient expired in hospital. The most commonly isolated organisms were Severe Acute Respiratory Syndrome Coronavirus 2 which was 13 (16.6%) followed by Strepotococcus pneumoniae which was 8 (10.2%). Conclusions: The prevalence of pneumonia in Chronic Kidney Disease was observed higher in our study compared to other studies.

Introduction: Increasing antibiotic resistance has created a global public health threat worldwide. Acinetobacter species is one of the important pathogenic organisms in the hospital setting due to its ability to persist in the hospital environment for long. Its resistance to commonly used antibiotics can prolong hospital stay, increase financial burden, and increase morbidity and mortality. This study aims to find the prevalence of extensive drug resistant Acinetobacter species in the sputum sample of Intensive Care Unit patients admitted in a tertiary care center. Methods: A descriptive cross-sectional study was conducted in a tertiary care center among the hospital records from May 2017 to May 2021, after ethical approval (Reference number: 2104202101). All the Intensive Care Unit patients with isolated acinetobacter species in their sputum samples within the past four years were collected and Statistical Package for Social Sciences version 25 was used for analysis. Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. Results: Of the total 409, 196 (47.9%) (95% Confidence Interval= 43.06-52.74) of Acinetobacter species in the sputum sample had extensive drug resistance. Of these, 193 (98.5%) and 1 (0.5%) of the extensive drug resistant Acinetobacter species were resistant to carbapenem and polymyxin respectively. Conclusions: Prevalence of extensive drug resistant acinetobacter was found higher compared to other studies.

Background: The intensity of aggression present in any person determines his/her threat to conduct violent and impulsive act against members of the society or else family, friends or foes, which necessitates a crucial analytical instrument for identification of such behaviour in smaller groups of societies. Objectives: To assess a group of medical students from Kathmandu, Nepal for potential risk they bear to conduct violence in future medical practice. Methodology: A self-administered pre-validated Bush and Perry Aggression Questionnaire was used in this descriptive cross-sectional study to analyse emotional and cognitive component among 235 medical students of Nepal between February and May 2019. A Likert-type bipolar scale was used for response format ranging from one (extremely uncharacteristic) to five (extremely characteristic). Questionnaire explored four factors: physical aggression, verbal aggression, anger and hostility. Mean scores of aggression were computed and compared with gender and level of education by conducting independent t-test with level of significance at 0.05. Results: The mean scores were 20.73± 6.33, 13.97± 3.87, 18.79± 5.20 and 20.17±6.68, for physical aggression, verbal aggression, anger and hostility respectively. Males had higher score of physical aggression statistically significant at p<0.05. The mean Bush and Aggression Perry Questionnaire score was calculated to be 71.66± 15.71, but insignificant (p>0.05) when compared between sexes, and level of education (second semester and seventh semester students). Conclusion: Male medical students were more prone to hostility and physical aggression than female students who were more liable (statistically insignificant) to verbal aggression and anger.

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