Prospects for Rare Decays at Belle II

Belle II is an upcoming experiment at the next generation SuperKEKB e+e- collider. It will record about 50 ab-1 of data mostly at the Y(4S) resonance. The high statistics will allow precision measurements for rare decays, which can be then compared with the Standard Model predictions in order to search indirectly for new physics. We present the prospects for rare decay studies at Belle II.Comment: 6 pages, 5 figures, CKM 2016 Conferenc

Detection of postural transitions using machine learning

The purpose of this project is to study the nature of human activity recognition and prepare a dataset from volunteers doing various activities which can be used for constructing the various parts of a machine learning model which is used to identify each volunteers posture transitions accurately. This report presents the problem definition, equipment used, previous work in this area of human activity recognition and the resolution of the problem along with results. Also this report sheds light on the process and the steps taken to undertake this endeavour of human activity recognition such as building of a dataset, pre-processing the data by applying filters and various windowing length techniques, splitting the data into training and testing data, performance of feature selection and feature extraction and finally selecting the model for training and testing which provides maximum accuracy and least misclassification rates. The tools used for this project includes a laptop equipped with MATLAB and EXCEL and MEDIA PLAYER CLASSIC respectively which have been used for data processing, model training and feature selection and Labelling respectively. The data has been collected using an Inertial Measurement Unit contains 3 tri-axial Accelerometers, 1 Gyroscope, 1 Magnetometer and 1 Pressure sensor. For this project only the Accelerometers, Gyroscope and the Pressure sensor is used. The sensor is made by the members of the lab named ‘The Technical Research Centre for Dependency Care and Autonomous Living (CETpD) at the UPC-ETSEIB campus. The results obtained have been satisfactory, and the objectives set have been fulfilled. There is room for possible improvements through expanding the scope of the project such as detection of chronic disorders or providing posture based statistics to the end user or even just achieving a higher rate of sensitivity of transitions of posture by using better features and increasing the dataset size by increasing the number of volunteers.Incomin

A demographic study of urolithiasis in patients attending tertiary urological hospital in Dibrugarh, Assam, India

Background: Urolithiasis is a common disease entity seen in medical practice. Various studies from different areas of the world indicates higher male preponderance. Our study was done to find out the gender, age and area of distribution of Urolithiasis in a tertiary urology centre in upper Assam.Methods: Our study was a retrospective study done between January 2018 to June 2018. Data was collected from the records. A total of 1041 patients were examined during this period, out of which 307 patients were diagnosed and treated for urolithiasis.Results: Out of 307 patients, 228 were males and 79 were females. Male to female ratio was 2.9:1. The maximum number of patients in the age group was between 30-39 years. Majority of the patients were from the Dibrugarh district of upper Assam. Most of the positive urolithiasis cases was fund in patients consuming a non-vegetarian diet.Conclusions: Urolithiasis is a disease with preponderance in adult males. Geographical distribution, age and diet are factors that affect the occurrence of the disease