A clinical study of maternal outcome among pregnant mothers suffering from preeclampsia with thrombocytopenia

Background: The thrombocytopenia in preeclampsia is mild to moderate, but severe thrombocytopenia can occur. Patients with eclampsia were at even greater risk for developing severe thrombocytopenia. And more likely to have HELLP syndrome, which is a subset of preeclampsia. Thrombocytopenia is a key and necessary component of this syndrome. The objective of the present study was to observe a clinical study of maternal outcome among pregnant mothers suffering from preeclampsia with thrombocytopenia.Methods: A Hospital based Study was conducted at Mysore Medical College from January 2018 to December 20180 in the department of Obstetrics and gynecology. A total of 100 cases of Pregnancy from the records / case sheets of pregnant women with pregnancy induced hypertension admitted in the labor ward of the department of obstetrics and gynecology, Mysore Medical College, Mysore, Karnataka, India.Results: Majority of the study subjects in present study were aged between 21-25 years (42%) followed by <20 years (26%). Nearly 55% of the study group were prim parous. In the above table out of 100 cases included in the study, 28 and 40 cases presented with mild and severe pregnancy induced hypertension, 8 cases were diagnosed as eclampsia and 24 cases presented with HELLP syndrome. The association between the mode of delivery and the variants of PIH was found to be statistically not significant. The Association between Mode of delivery and gestation weeks among the eclampsia cases was found to be not significant.Conclusions: Thrombocytopenia in pregnancy induced hypertension carries a risk for both the mother and her fetus. The associated causes like abruption, retain dead fetus, septicemia and disseminated intravascular coagulation aggravates the complication for thrombocytopenia

A study on pregnancy outcome in patients with first trimester vaginal bleeding

Background: Vaginal bleeding is a common obstetric problem and a cause of anxiety and worry both to patients and the Obstetrician. The common cause of bleeding in 1st trimester include various types of abortion, ectopic pregnancy and molar pregnancy. This study was conducted to assess the maternal and perinatal outcome in pregnant women who present with first trimester vaginal bleeding.Methods: A Prospective study (Longitudinal study) among pregnant women presenting with First trimester bleeding was conducted for a period from November 2017 to Jan 2019 at Mysore Medical College and Hospital 200 subjects were included into the study by Multiphasic sampling method using a structured questionnaire to collect the data.Results: The study observed that among 200 subjects who were included in the study 123 (61.5%) were non-viable pregnancy and 67 (38.5%) were viable pregnancy. Among 67 viable pregnancy only 30 (47%) had no obstetrical complications, 11 (17.1%) aborted and others had problems of PROM, Preterm labour, Placenta previa, IUGR and IUD.Conclusions: It can be concluded that first trimester bleeding is a predicting factor for obstetric and perinatal complications during pregnancy. Hence it is necessary to increase the knowledge of pregnant women in this regard for closer care. It is also important factor for clinician to be attentive towards first trimester bleeding in providing clinical interventions for the continuation of pregnancy and also reducing the fetal complications in these high-risk pregnancies

Handwritten Text Recognition Using Convolutional Neural Network

OCR (Optical Character Recognition) is a technology that offers comprehensive alphanumeric recognition of handwritten and printed characters at electronic speed by merely scanning the document. Recently, the understanding of visual data has been termed Intelligent Character Recognition (ICR). Intelligent Character Recognition (ICR) is the OCR module that can convert scans of handwritten or printed characters into ASCII text. ASCII data is the standard format for data encoding in electronic communication. ASCII assigns standard numeric values to letters, numeral, symbols, white-spaces and other characters. In more technical terms, OCR is the process of using an electronic device to transform 2-Dimensional textual information into machine-encoded text. Anything that contains text both machine written or handwritten can be scanned either through a scanner or just simply a picture of the text is enough for the recognition system to distinguish the text. The goal of this papers is to show the results of a Convolutional Neural Network model which has been trained on National Institute of Science and Technology (NIST) dataset containing over a 100,000 images. The network learns from the features extracted from the images and use it to generate the probability of each class to which the picture belongs to. We have achieved an accuracy of 90.54% with a loss of 2.53%.Comment: 6 pages, 15 figure

Evaluation of perinatal outcome in twin pregnancy at tertiary care centre

Background: The objective of present study was to study the incidence of perinatal mortality and morbidity in twin pregnancy and to analyse the various factors influencing perinatal outcome in these cases.Methods: A total of 117 pregnant women with twin pregnancy were analyzed between the period of September 2010 to February 2012. After applying the inclusion and exclusion criteria these women were analyzed with respect to fetal presentation at the onset of delivery, mode of delivery, APGAR score at 1minute, incidence of perinatal mortality and morbidity rates. Also attempt has been made to define the factors which influence the perinatal mortality and morbidity in twins.Results: In this study it is observed that there is increased incidence of malpresentations 50 (42.7%), increased incidence of congenital malformations (2.6%), increased perinatal mortality (16.7%) and morbidity (21.8%). It is observed that prematurity, i.e. gestational age <37 weeks contributed to 69.9% of total perinatal loss. All perinatal losses except 2 occurred in infants <2 kg. Major factors causing perinatal morbidity were respiratory distress syndrome in (6.4%), transient tachypnoea of newborn (6.4%), septicemia (4.3%), jaundice (3.8%) and anemia (0.9%).  Conclusions: It is observed that in this study perinatal mortality and morbidity rates are increased in the event of a twin pregnancy more so for second twin. Early diagnosis of twin pregnancy, regular antenatal visits, identification and anticipation of complications, planned delivery and good NICU care will help to decrease the perinatal morbidity and mortality

Printing of Textiles Using Natural Dyes: A Global Sustainable Approach

Globalization has completely changed the fashion industry and its approach toward sustainability. Fast changing trends are majorly focused on synthetic dyes and fabrics. And these products have failed building the bridge between sustainability and environment-friendly designs. Therefore, this chapter is aimed at the approach toward design development and development of sustainable eco-friendly approach for screen printing by using natural dyes on fabrics like silk and cotton. The chapter is based on sustainable design approach which gives much provision for using natural dyes for everyday change in fashion. The chapter also focuses on color fastness properties of the used dyes. These results were evaluated by carrying out color fastness tests for light, wash, rubbing, and perspiration using standard testing methods. Design methodology used in the study also has the potential for skill development programs for entrepreneurs and also contributes to rural development programs by creating sustainable growth

IoT Security Adoption into Business Processes: A Socio-Technical View

Recently, the Internet of Things (IoT) has gained huge focus and has led to the generation of valuable data to create new value propositions for organisations. It is important to explore the impact these developments have on our society. IoT security is identified as the key issue amongst all the IoT applications and presents numerous social and technical challenges. We conducted interviews with IoT experts and the results illustrated how holistic security issues in IoT are undermined and to further emphasize the importance of addressing these issues by accommodating security into IoT business processes. This approach facilitated the assessment and identification of security threats from both social and technical perspectives. Our outcome highlights that IoT security must be implemented into IoT aware business processes to make the technology human centered, despite the challenges involved

A Critical Review on use of Gudodaka in Sutika Paricharya

A postnatal period is the period beginning immediately after the separation of placenta and extending up to six weeks, otherwise called as puerperium. Postnatal care is named as Sutika Paricharya in Ayurvedic classics. Garbhini and Sutika Paricharya are very-well described by ancient Ayurvedic scholars. Acharya Kashyapa narrated stage of Prasavaavastha is like a women with her one foot in this Loka and other in Yama Loka . The woman after such a difficulty stage of life needs special care. Classics have described special dietary regimen and life style for this period. Along with DeepanaPachana and Snehadravyas, usage of Gudodaka is advised in Sutikakala. To remove the Sheshadosha in the body Ushna Gudodaka with Panchakola Churna is advised. Guda has Madhura Rasa, Snigdha and Ksharaguna, acts as Raktashodhaka and Vatahara. Jaggery is source of carbohydrate and also has calcium, iron, magnesium, potassium and sodium. So Gudodaka as a part of Sutika diet helps in achieving restoration of health of mother by proper Vatanulomana, Garbhashaya Shodhana, Raktaprasadana Karma

Enhancement of Indian Software Quality Management Using Multi Criteria Objects and Six Sigma Methodology

The objective of this article is to classify the software serious success factors of six sigma execution, as well as the lean six sigma tools methods that it uses in all the phases of the DMAIC structured methodology.A literature survey of six sigma software serious success factor has been realized and also an attempt to connect them with the enablers of Indian software quality management. A literature survey of the lean six sigma tools and methods used to follows and a classify them according to the phase of the DMAIC.This article has to collect a list of 6 software serious factors which were classified according to the five Indian software quality management enablers and the IMF,EMF,ESF,ISF differentiation. A list of various methods utilized in the different phases of sixsigma and the ISO suggestions has also been referred.Finally the classification of software serious success factors and methods of six sigma technology could be a valuable lean six sigma tools for academics and professionals to understand and execute the methodology in the appropriate way

Compressed MobileNet V3: An efficient CNN for resource constrained platforms

Indiana University-Purdue University Indianapolis (IUPUI)Computer Vision is a mathematical tool formulated to extend human vision to machines. This tool can perform various tasks such as object classification, object tracking, motion estimation, and image segmentation. These tasks find their use in many applications, namely robotics, self-driving cars, augmented reality, and mobile applications. However, opposed to the traditional technique of incorporating handcrafted features to understand images, convolution neural networks are being used to perform the same function. Computer vision applications widely use CNNs due to their stellar performance in interpreting images. Over the years, there have been numerous advancements in machine learning, particularly to CNNs.However, the need to improve their accuracy, model size and complexity increased, making their deployment in restricted environments a challenge. Many researchers proposed techniques to reduce the size of CNN while still retaining its accuracy. Few of these include network quantization, pruning, low rank, and sparse decomposition and knowledge distillation. Some methods developed efficient models from scratch. This thesis achieves a similar goal using design space exploration techniques on the latest variant of MobileNets, MobileNet V3. Using DPD blocks, escalation in the number of expansion filters in some layers and mish activation function MobileNet V3 is reduced to 84.96% in size and made 0.2% more accurate. Furthermore, it is deployed in NXP i.MX RT1060 for image classification on CIFAR-10 dataset