A Sectoral Study on Family Friendly Policies for Women Employees

Improved education and employment opportunities for women coupled with rising costs of living have seen a steady rise in the number of working women in most fields. Pune is a growing hub for the different sectors and it is observed that there is a marked presence of women in all the sectors. Since a working woman shoulders more responsibility and needs to take initiatives both on family and job front, there is need for provision of family friendly policies for balancing both these responsibilities.  This paper attempts to throw light on the different family friendly policies provided for the women employees in different sectors, and explores the extent to which these policies are benefiting the women employees.  Lastly it brings out the expectations of the women employees regarding the different policies in place and also efforts needed further for maintaining work life balance. Keywords:  Family friendly policies, Work life balance, Equal opportunities

Ectopic pancreatic islets in Splenic hilum and peripancreatic fat

The presence of pancreatic islets alone in the peripancreatic region and splenic hilum is an uncommon occurrence. Herein, we describe their presence in this rare location

Assessment of patient satisfaction after levonorgestral containing intrauterine system insertion in women with abnormal uterine bleeding

Background: Abnormal uterine bleeding is a common gynecological complaint affecting 10-30% of reproductive-aged women and it can result from different causes which adversely affects the woman’s quality of life, necessitating its appropriate and adequate management. Among all the pharmacological and surgical management options of AUB. LNG-IUS is emerging as a safer and effective treatment option of AUB. However apprehension about discomfort associated with the use of intrauterine device leads to its untimely removal. Aim of current study was to conduct a prospective qualitative study to observe the level of patient satisfaction with the use of LNG-IUS in patients with abnormal uterine bleeding.Methods: This study was conducted in the department of obstetrics and gynecology, MGM medical college and M.Y. Group of Hospitals, Indore from March 2017- March 2018. Follow up was done at 1, 3, 6 months.Results: In our study, majority of the women (90%) had improvement in their abnormal uterine bleeding along with significant increase in mean hemoglobin level from7.30+1.29 gm%  to 8.71+1.27 gm% at the end of six months. 86.66% of these patients were very satisfied with the use of LNG IUS,Conclusions: LNG-IUS is an effective device for medical management of AUB and it should be used as the first line therapy for the same. It should always be considered before surgical interventions. It yields promising result in terms of patient satisfaction.

Monostotic craniofacial fibrous dysplasia: report of two cases with interesting histology

Fibrous dysplasia (FD) is a relatively rare osseous disease of unknown etiology, wherein the normal bone is replaced by collagen-rich tissue, comprising of fibroblasts and variably abundant immature woven bone. Clinically, it may involve a single bone or multiple bones. It commonly arises in the jaw bone, skull, rib, and proximal femur. Those arising in the skull and the jaw are together termed “craniofacial fibrous dysplasia.” The differential diagnosis at this location includes meningioma and metastatic carcinoma. In this report, we highlight two diagnostically challenging cases presenting with orbital swelling and headache as the main complaints. Our first case was misinterpreted as meningioma on intraoperative squash smear, and paraffin sections revealed characteristic features of FD. The second case highlights the morphological feature of non-specific cystic degeneration occurring in FD. Radiographs in such cases show cystic swelling, which is indicative of a secondary aneurysmal bone cyst

A Hybrid Model for Sentiment Analysis Based on Movie Review Datasets

The classification of sentiments, often known as sentiment analysis, is now widely recognized as an open field of research. Over the past few years, a huge amount of study work has been carried out in these disciplines by utilizing a wide variety of research approaches. Due to the possibility that the performance of sentiment analysis may be impacted by the high-dimensional feature set, text mining demands careful consideration during in the construction and selection of features.The process of recognising and extracting subjective information from written data is referred to as sentiment analysis. Sentiment analysis enables companies to understand the social sentiment around their brand, product, or service by monitoring the conversations that take place in internet chat rooms. In order to categorise people's attitudes or sentiments, this study provides a hybrid model (Support Vector Machine, Convolutional Neural Network, and Long Short-Term Memory). The findings of using the network model to sentiment analysis on the movie review or amazon review datasets reveal that it is possible to gain a good classification impact by using the model. The preprocessing is used for text mining, the removal of punctuation, and the generation of vocabulary, also uses GLOVE for vectorization and TF-IDF algorithms for better feature extraction.  The results that were proposed were compared with various base models such as KNN, and MNB, amongst others, which demonstrates that the hybrid model performs better than other models

The modern histopathologist: in the changing face of time

The molecular age histopathologist of today is practicing pathology in a totally different scenario than the preceding generations did. Histopathologists stand, as of now, on the cross roads of a traditional 'visible' morphological science and an 'invisible' molecular science. As molecular diagnosis finds more and more applicability in histopathological diagnosis, it is time for the policy makers to reframe the process of accreditation and re-accreditation of the modern histopathologist in context to the rapid changes taking place in this science. Incorporation of such 'molecular' training viv-a-vis information communication technology skills viz. telemedicine and telepathology, digital imaging techniques and photography and a sound knowledge of the economy that the fresh entrant would ultimately become a part of would go a long way to produce the Modern Histopathologist. This review attempts to look at some of these aspects of this rapidly advancing 'art of science.

Maternal Health: A Case Study of Rajasthan

This case study has used the results of a review of literature to understand the persistence of poor maternal health in Rajasthan, a large state of north India, and to make some conclusions on reasons for the same. The rate of reduction in Rajasthan's maternal mortality ratio (MMR) has been slow, and it has remained at 445 per 1000 livebirths in 2003. The government system provides the bulk of maternal health services. Although the service infrastructure has improved in stages, the availability of maternal health services in rural areas remains poor because of low availability of human resources, especially midwives and clinical specialists, and their non-residence in rural areas. Various national programmes, such as the Family Planning, Child Survival and Safe Motherhood and Reproductive and Child Health (phase 1 and 2), have attempted to improve maternal health; however, they have not made the desired impact either because of an earlier emphasis on ineffective strategies, slow implementation as reflected in the poor use of available resources, or lack of effective ground-level governance, as exemplified by the widespread practice of informally charging users for free services. Thirty-two percent of women delivered in institutions in 2005-2006. A 2006 government scheme to give financial incentives for delivering in government institutions has led to substantial increase in the proportion of institutional deliveries. The availability of safe abortion services is limited, resulting in a large number of informal abortion service providers and unsafe abortions, especially in rural areas. The recent scheme of Janani Suraksha Yojana provides an opportunity to improve maternal and neonatal health, provided the quality issues can be adequately addressed

Model-Agnostic Semantics in Shipboard Systems Against Data Availability Attacks

Data availability attacks, such as latency attacks, data dropouts and time synchronization attacks (TSAs) still remain a prime concern not only at the network level but also impair the control system performance & stability of the physical layer in medium voltage DC (MVDC) shipboard power systems (SPSs). To address its impact on the physical layer, we equip a model-agnostic semantic architecture that can compensate using process-aware delay compensation capabilities. Unlike traditional model predictive controllers (MPCs) with a limited prediction horizon, the proposed architecture offers long event-driven prediction even during large random delayed measurements. The semantic prediction policy is governed using the inner control loop dynamics of power generation modules (PGMs) to provide reconstructed signals for delay compensation. Its robustness has been extensively tested and validated on nominal 12 kV two-zone MVDC SPS, in an OPAL-RT environment for above-mentioned attacks. Overall, the proposed model-agnostic estimator (MAE) has the potential to significantly improve the resilience of SPSs against cyber-attacks without revealing any model information

Delay-Aware Semantic Sampling in Power Electronic Systems

In power electronic systems (PES), attacks on data availability such as latency attacks, data dropouts, and time-synchronization attacks (TSAs) continue to pose significant threats to both the communication network and the control system performance. As per the conventional norms of communication engineering, PES still rely on time synchronized sampling, which translates every received message with equal importance. In this paper, we go beyond event-triggered sampling/estimation to integrate semantic principles into the sampling process for each distributed energy resource (DER), which not only compensates for delayed communicated signals by reconstruction of a new signal from the inner control layer dynamics, but also evaluates the reconstruction stage using key semantic requirements, namely Freshness, Relevance and Priority for good dynamic performance. As a result, the sparsity provided by event-driven sampling of internal control loop dynamics translates as semantics in PES. The proposed scheme has been extensively tested and validated on a modified IEEE 37-bus AC distribution system, under many operating conditions and noisy environment in OPAL-RT environment to establish its robustness, model-free design ability and adaptive behavior to dynamic cyber graph topologies