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Background: Infectious diseases are now the world’s biggest killer of children and young adults. Over the last three decades a lot of progress has been made globally as far as protection against six important vaccine preventable diseases is concerned. The major cause of non-immunization and partial immunization in most of the studies conducted in India and abroad suggest lack of knowledge and awareness about vaccination in the community.Methods: 400 children aged 12-24 months from urban and rural areas (200 each) of Udaipur in a randomized manner were included in this study. For coverage and evaluation of vaccination in this study, informants preferably mothers were interviewed using pre-coded and pretested questionnaire by door to door visit from 1st April 2017 to 31st March 2018, in urban and rural areas of Udaipur and if mother was not available then father or any other person >18 years belonging to the household was asked to respond to questionnaire.Results: The present study was undertaken to find out the vaccination coverage in eligible population in rural and urban blocks of Udaipur. Out of 400 children evaluated. More than half (60.25%) of children were completely immunized. 29.5% children were partially immunized and 10.25% were not immunized at all.Conclusions: Lack of knowledge and awareness were the main reason for non-immunization (44.4%) and partial immunization (29.4%) respectively.

dults and children commonly present with acute diarrhea due to various etiologies. Depending on the duration, acute diarrhea is defined as, the passage of three or more loose or liquid stools per day lasting for <14 days (<2 weeks) in duration [1]. It is of concern since acute diarrhea in children is one of the biggest public health problems related to higher morbidity and mortality rates. It is also the second leading cause of death in children under 5 years worldwide [1,2].To combat diarrheal diseases, many treatment options have been made available.Recently, probiotics are one of the most researched subjects in the pediatric discipline. Probiotics are defined as, non-pathogenic live microorganism which, when administered in adequate amounts, confer a health benefit to the host [3]. They basically affect the intestinal microbial balance of the host and improve his/her immunity, thus showing preventive as well as curative effects on diarrhea of different etiologies [4,5]. This study was carried out with an aim to compare the effectiveness of two different species of probiotic bacteria, Bacillus clausii and Lactic acid bacillus, in acute diarrhea. MATERIALS AND METHODSThis prospective, single centric, parallel group, single blind, and randomized clinical study commenced after obtaining approval from Institutional Ethics Committee. It was conducted from January 2018 to June 2019 at the Department of Pediatrics of a Tertiary Care Teaching Hospital. The sample size was 150 patients which were calculated using Cochran's formula. Among these, 75 patients each were included in two Groups A and B. This randomization was carried out through a lottery method by a random allocator who was not associated with the study.The data were collected on a case record form after the informed written consent was obtained from parent or guardian. Infants and children between 6 months and 5 years, suffering from acute diarrhea and seeking treatment at this set-up, were included in the study. Infants and children whose parents or guardian were not willing to give their written informed consent, those with other co-morbid conditions such as the presence of blood/mucus in stool, co-existing acute systemic illness, shock, any infection, immune-deficiency states, severe dehydration, lactose intolerance, severe acute malnutrition or those who were already on probiotic before the hospital visit were excluded from the study.Groups A and B patients were administered probiotics -Bacillus clausii (2 billion spores) and Lactic acid bacillus (1.5 billion spores), respectively, along with ORS+Zinc orally twice a day. They were followed-up until they passed three consecutive stools with normal consistency and/or frequency to calculate the effectiveness of probiotics in acute diarrhea with respect

We present a convolutional-recurrent neural network architecture with long short-term memory for real-time processing and classi cation of digital sensor data. The network implicitly performs typical signal processing tasks such as ltering and peak detection, and learns time-resolved embeddings of the input signal.We use a prototype multi-sensor wearable device to collect over 180 h of photoplethysmography (PPG) data sampled at 20 Hz, of which 36 h are during atrial brillation (AFib).We use end-to-end learning to achieve state-of-the-art results in detecting AFib from raw PPG data. For classi cation labels output every 0.8 s, we demonstrate an area under ROC curve of 0.9999, with false positive and false negative rates both below 2 × 10 −3 . This constitutes a signi cant improvement on previous results utilising domain-speci c feature engineering, such as heart rate extraction, and brings large-scale atrial brillation screenings within imminent reach.