A MOBILE PAYMENT SYSTEM THROUGH INDEPENDENT M-SIGNATURE SERVICE

Nowadays a great number of applications require the use of Electronic Signature (e-signature) and nonrepudiation services such as certified e-mail, contract signing, electronic payment system and etc... The authenticity and integrity generated by e-signature in electronic document is like a handwritten signature in the paper document. The mobile user would be able to use any application that requires an e-signature is called as Mobile Signature (m-signature). Msignature can be created by different ways, such as Server-based signatures, Mobile Signature Service (MSS), Mobile Signature Application Unit (MSAU). But those have several limitations. In this work, we present the implementation of mobile payment system using m- signature service to an insurance company and for a mobile shop

A study on outcomes and efficacy of managing acute pancreatitis based on guidelines given by American College of Gastroenterology

AIM OF THE STUDY: To study the outcomes and efficacy of managing Acute pancreatitis based on Guidelines by American College of Gastroenterology. STUDY DESIGN: Prospective study. MATERIALS AND METHODS: 50 patients who got admitted in our unit which characteristic abdominal pain of Acute Pancreatitis were included in the study over a period of 10 months. Confirmation done with Blood Investigations and Imaging studies. Aggressive fluid management along with analgesics were given and the symptomatic improvements (PR, RR, Temp., SpO2) and lab investigations (Hb, TC, PCV, S.amylase) monitored at the end of 6 hours, 12 hours, 24 hours and 48 hours. The etiology, duration of symptoms, co-morbidities were studied. The number of Patients with SIRS and organ failure recorded and their recovery from the illness monitored. Unnecessary use of Antibiotics avoided and given only to those patients who had Infected Pancreatic Necrosis. CECT Abdomen and Pelvis done only in those patients who failed to show signs of recovery at the end of 24 hours. The patients with SIRS and organ failure at the end of 24 hours monitored and managed in ICU setup. The duration of hospital stay recorded. All the patients were managed strictly following the guidelines given by American College of Gastroenterology. Severity of Pancreatitis applied based on Revised Atlanta Classification (2013) at the end of 48 hours. Organ Failure calculated using Modified Marshall Scoring using ABG Analysis. STATISTICAL ANALYSIS: To describe about the data descriptive statistics frequency analysis, percentage analysis were used for categorical variables and repeated measures ANOVA for continuous variables. Repeated measures ANOVA showed statistically significant variance for Pulse Rate, Respiratory Rate, Temperature and Total Count at the time of admission, at 6th hour, 12th hour, 24th hour and 48th hour. The probability value 0.05 is considered as significant level. RESULTS: Out of the 50 patients admitted with Acute Pancreatitis, 32 patients were in SIRS and 4 patients were with Organ Failure. The patients were managed based on ACG Guidelines. At the end of 48 hours, 27/32 patients got completely recovered from SIRS and 3/ 4 patients completely recovered from organ failure. Only 11 patients required both USG and CECT Abdomen as they failed to show signs of recovery at the end of 24 hours. Antibiotics given only in 8 patients. Out of the 50 patients, 4 patients underwent Laparoscopic Cholecystectomy. 25 patients were diagnosed of mild pancreatitis, 24 as Moderately severe Acute Pancreatitis and 1 with severe pancreatitis. The duration of hospital stay varied from 6-25 days. No deaths occurred during the period of study. CONCLUSION: Guidelines based management give optimum results in patients with Acute pancreatitis. Initial 24- 48 hours is the crucial period in the management of Acute pancreatitis. Failure of Aggressive fluid challenge in the patients will lead to irreversible necrotic changes in the Pancreas. Further studies are required to test the universality, validity of adopting the ACG Guidelines as such in our setup

Emergency obstretic hysterectomy: a retrospective study in a tertiary care center

Background: Obstetric hysterectomy remains a necessity in preventing maternal mortality in catastrophic rupture of the uterus or intractable postpartum hemorrhage when all the conservative management options fail. Uterine atony followed by abnormal placentation remains the primary indication of emergency obstratic hysterectomy worldwide. In majority of cases, anticipation, prompt resuscitation and earlier surgical intervention by skilled operator will reduce patient’s morbidity and mortality. The first successful operation was performed in 1876. The main objective of the study was to study frequency, indications and fetomaternal outcome of emergency obstetric hysterectomy in tertiary care center.Methods: Observational, retrospective and analytical study was done over 2 years from January 2017 to January 2019. A total of 11 cases of emergency obstretic hysterectomy (EOH) were recorded.Results: The overall incidence was 1.47 per 1000 deliveries. Atonic postpartum hemorrhage (54%) was the most common indication followed by placenta previa (18%) and placenta accreta (9%). Second gravida were mostly involved (45%) with previous LSCS (45%) as a common risk factor in commonest age group of 20-25 years (46%) amongst them. The most frequent squeal was disseminated intravascular coagulation (45%). Maternal mortality was nil while neonatal mortality being 9%. The decision of performing total or subtotal hysterectomy along with bilateral internal iliac ligation was influenced by patient’s condition.Conclusions: Emergency obstretic hysterectomy is the most demanding obstretic surgery performed in circumstances of life threatening hemorrhages where conservative surgical modalities fail and interventional radiology is not immediately available. Antenatal anticipation of the risk factors, involvement of experienced obstetrician at the early stage of management and prompt hystrectomy after adequate rescuitation will reduce fetomaternal mortality and morbidity

Study of maternal near miss cases in a tertiary care hospital

In the Millennium Developmental Goals, 2000 Goal Number 5 was to improve the maternal health. In order to approach the problems of maternal morbidity rate, it is more prudent to use the resources to tackle the issues that put maternal health in grave danger. Thus the concept of near miss cases was established in order to identify the potential contributors to the maternal morbidity and mortality. A Maternal near miss is defined as a woman who nearly died but survived a complication that occurred during childbirth or within 42 days of termination of pregnancy. This study thus aims to identify the most common causes and trends of maternal near miss cases and the potential solutions to ensure better quality of health care delivery

IOT Cloud Based Real Time Automobile Monitoring System

Smart sensing has had a significant impact on defining our future in recent years. The field of IOT is a recent technical innovation that has caused a change in lifestyle (Internet of things). IoT refers to the internetworking of physical equipment and other items that are equipped with electronics, software, sensors, and network connectivity to allow data to be collected from them. Transportation is a booming industry in India, with the number of vehicles on the road increasing by the day. Monitoring vehicle metrics such as gasoline, temperature, and battery level without having to touch the car is perfect. In this digital age, a digital locking mechanism is desperately needed. When your vehicle is not with you, vehicle tracking is also essential. Here, car tracking is designed using GPS to conveniently locate the user's vehicle. The IoT cloud-based real-time automotive monitoring system is capable of monitoring our vehicle's metrics such as fuel level, battery level, engine temperature, and speed, as well as tracking the driver's alcohol percentage via an Android application. We receive an alert when one of these metrics crosses a certain threshold. Its Smart RFID digital key secures your vehicle even more than keys do. We may save our vehicle documents, driver's licences, insurance copies, and other documents in this project's Android application. Whenever an accident occurs, send a message to trusted people with the location

Study of prevalence and determinants of polycystic ovarian syndrome among adolescent girls in rural area: a prospective study

Background: Polycystic ovarian syndrome (PCOS) is the most frequent endocrinological disorder affecting 5-10% of women in the reproductive age. This prevalence ranging from 2.2% to 26% in adult women from 18-45 year. In a recent study the prevalence of a confirmed diagnosis of PCOS in adolescents aged 10 to 19 years was 5-15%, which increased to 10-22%. When undiagnosed cases with documented symptoms qualifying for PCOS according to NIH (National institute of Health) criteria were included. PCOS is a complex endocrine disorder which is most common in women of reproductive age. PCOS may first present in adolescence, but the incidence of PCOS in adolescence is not known, as diagnostic criteria for PCOS in the adolescent age-group is still not defined, PCOS symptoms tend to overlap with normal pubertal changes making the diagnosis even more challenging. The objective is to study prevalence and symptomatology of polycystic ovary syndrome (PCOS) in adolescent girls.Methods: Prospective Cross sectional study between April 2018 and March 2019. 150 adolescent girls aged 10 to 19 years attending OPD with oligomenorrhea, irregular menstrual cycle, obesity and/or hirsutism were advised for biochemical, hormonal, and ultrasonographic evaluation for diagnosis of PCOS on the basis of Rotterdam's criteria at the Department of Obstetrics and Gynaecology, Krishna Institute of Medical Sciences, Deemed University, Karad, Maharashtra, India.Results: Prevalence of PCOS in the study was 17.33% in the study group.Conclusions: PCOS is increasingly encountered during adolescence, although the overall prevalence is low and evaluation of PCOS in adolescents is challenging. At this age, lifestyle modification is imperative to prevent long-term metabolic and reproductive complications

A divide and conquer strategy for the maximum likelihood localization of low intensity objects

In cell biology and other fields the automatic accurate localization of sub-resolution objects in images is an important tool. The signal is often corrupted by multiple forms of noise, including excess noise resulting from the amplification by an electron multiplying charge-coupled device (EMCCD). Here we present our novel Nested Maximum Likelihood Algorithm (NMLA), which solves the problem of localizing multiple overlapping emitters in a setting affected by excess noise, by repeatedly solving the task of independent localization for single emitters in an excess noise-free system. NMLA dramatically improves scalability and robustness, when compared to a general purpose optimization technique. Our method was successfully applied for in vivo localization of fluorescent proteins

Enhanced Relative Comparison of Traditional Sorting Approaches towards Optimization of New Hybrid Two-in-One (OHTO) Novel Sorting Technique

In the world of computer technology, sorting is an operation on a data set that involves ordering it in an increasing or decreasing fashion according to some linear relationship among the data items. With the rise in the generation of big data, the concept of big numbers has come into existence. When the number of records to be sorted is limited to thousands, traditional sorting approaches can be used; in such cases, complexities in their execution time can be ignored. However, in the case of big data, where processing times for billions or trillions of records are very long, time complexity is very significant. Therefore, an optimized sorting technique with efficient time complexity is very much required. Hence, in this paper an optimized sorting technique is proposed, named Optimized Hybrid Two-in-One Novel Sorting Technique (OHTO, a mixed approach of the Insertion Sort technique and the Bubble Sort technique. The proposed sorting technique uses the procedure of both Bubble Sort and Insertion Sort, resulting in fewer comparisons, fewer data movements, fewer data insertions, and less time complexity for any given input data set compared to existing sorting techniques

WEARS: Wearable Emotion AI with Real-time Sensor data

Emotion prediction is the field of study to understand human emotions. Existing methods focus on modalities like text, audio, facial expressions, etc., which could be private to the user. Emotion can be derived from the subject's psychological data as well. Various approaches that employ combinations of physiological sensors for emotion recognition have been proposed. Yet, not all sensors are simple to use and handy for individuals in their daily lives. Thus, we propose a system to predict user emotion using smartwatch sensors. We design a framework to collect ground truth in real-time utilizing a mix of English and regional language-based videos to invoke emotions in participants and collect the data. Further, we modeled the problem as binary classification due to the limited dataset size and experimented with multiple machine-learning models. We also did an ablation study to understand the impact of features including Heart Rate, Accelerometer, and Gyroscope sensor data on mood. From the experimental results, Multi-Layer Perceptron has shown a maximum accuracy of 93.75 percent for pleasant-unpleasant (high/low valence classification) moods