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She Shores: A Study on the Lives, Challenges and Resilience of Women of the Koli Fishing Community in Mumbai
This study delves into the lives of women from the Koli fishing community in Mumbai, aiming to illuminate their unique life experiences and the daily struggles that often remain hidden beneath their prosperous facade. It endeavours to examine their agency and adaptive strategies employed to navigate these challenges. The research was conducted in Pachubandar, Vasai, located in the western suburbs of Mumbai, which stands as one of the prominent Koli settlements in the city. Employing a qualitative research approach coupled with an exploratory research design, the study engaged ten participants, comprising seven Koli women and three key informants from the community. Additionally, an observational analysis of four retail and wholesale fish markets in Mumbai was conducted to gain insight into the working conditions of Koli fisherwomen. This study adopts a gender-focused perspective to scrutinise the contextual vulnerabilities that shape the lives of Koli women. It underscores the paradox wherein, despite playing a pivotal role in sustaining both their families and the traditional fishing occupation, their contributions often go unnoticed. The Koli women face severe deprivation due to their limited access to property and decision-making authority. They find themselves entangled within traditional norms and patriarchal structures, which impede their access to essential assets and diverse livelihood resources. Although they significantly contribute to the fishery sector, their struggles, needs, and aspirations are frequently disregarded due to their lack of representation and involvement in decision-making bodies. The majority of these women work under precarious conditions, devoid of proper infrastructure, resources, and security. Furthermore, the evolving dynamics within the fishery sector, driven by rapid urbanisation and modernisation, have a profound impact on the lives and traditional livelihoods of Koli women. They now confront issues such as dwindling fish catches due to environmental degradation, heightened market competition, reduced livelihood spaces brought about by shifting urban and coastal landscapes, altered labour relations, and technological advancements. Consequently, they find themselves caught between the conflicting forces of tradition and modernity. The research also sheds light on the strategies devised by Koli women to resist and adapt to the uncertainties and challenges they encounter, ultimately safeguarding their livelihoods through self-organisation. The study emphasises the imperative to acknowledge their contributions as 'visible work' and advocates for the incorporation of gender considerations when formulating policies and development strategies within the fisheries sector. 2024 Meghna Roy. -
Shell script to clone AODV routing protocol in network Simulator-2
Background and Objective: Most of the research that are carried in ad hoc routing protocol is through simulation. While working with a simulator, the codes are enclosed in a component that is accessible to all the developers. The difficulty arises as there is no enough documentation and users find it difficult to modify different C++ and TCL files. Even if one component is modified then the entire Network Simulator-2 (NS-2) suite must be reconfigured. Cloning the protocol manually takes a lot of time and prone to error. Our objective is to ease the work of developers and researchers by showing the procedure to clone the AODV protocol automatically using a script. Methodology: In this study, a shell script is developed that will clone the AODV protocol by modifying 18 C++ and TCL files of the protocol and NS-2 suite by automatically inserting the code in exact files at exact position. It also configures the NS-2 and installs the entire NS-2 suite along with setting the path in .bash files. Results: In this research work, a comparison of cloned protocol with AODV protocol is done based on throughput time and packet loss metrics and the results generated are exactly same for both the protocols. The results of the study reveal that the proposed script clones the AODV protocol successfully. Conclusion: This work proves that the proposed script can clone the AODV protocol faster with just one execution of shell script. This methodology will save the time and help the developers or research to focus more on their study on the protocol. 2018 Authors. -
Shifting mold of media technology and content with main thrust on Pandora's Box /
Journal Of Media and Social Development, Vol.2, Issue 1, pp.528-539, ISSN No: 2320-8244. -
Shock advertising and its impact on the younger generation /
Advances In Economics And Business Management, Vol.3, Issue 6, pp.653-657, ISSN: 2394-1553 (Online), 2394-1545 (Print). -
Short term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia: A prospective controlled trial
Siblings of persons with schizophrenia are important in providing long-term social support to the patients. Interventions addressing their needs are very sparse. Hence, this study aimed at testing the short-term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia. In this prospective controlled open label trial, 80 siblings of persons with schizophrenia were allocated in equal numbers to the brief need based psychoeducation group and the treatment-as-usual group. The outcomes were measured at baseline, and after the first and third month post-intervention. RM-ANCOVA was conducted to test the effect of the brief psychoeducation on outcome scores. The groups were similar with respect to socio-demographic, clinical, and outcome scores at the baseline. There was a significant group time interaction effect on knowledge (F = 8.71; p < 0.01; ?p 2 = 0.14) and self-stigma scores (F = 14.47; p < 0.001; ?p 2 = 0.21), wherein the brief psychoeducation group showed a significant increase in knowledge and reduction in self-stigma with medium effect size through baseline to the third month follow-up as compared to the treatment as usual group. We also observed a significant main effect of time; irrespective of the group allocation, there was a significant increase in the knowledge through baseline to third month follow-up (F = 5.69; p = 0.02; ?p 2 = 0.09). No main or interaction effects of group and time were observed on burden. The findings suggest that brief need based psychoeducation may increase knowledge about the illness and reduce self-stigma. Further systematic studies are warranted to test this intervention for long-term effects. 2017 Elsevier B.V. -
Short term effects of brief need based psychoeducation on knowledge, self-stigma, and burden among siblings of persons with schizophrenia: A prospective controlled trial /
Asian Journal of Psychiatry, Vol.7, pp.59-66, ISSN: 2211-3797. -
Short-Term H ? Line Variations in Classical Be Stars: 59 Cyg and OT Gem
We present the optical spectroscopic study of two classical Be stars, 59 Cyg and OT Gem obtained over a period of few months in 2009. We detected a rare triple-peak H ? emission phase in 59 Cyg and a rapid decrease in the emission strength of H ? in OT Gem, which are used to understand their circumstellar disks. We find that 59 Cyg is likely to be rapid rotator, rotating at a fractional critical rotation of ?0.80. The radius of the H ? emission region for 59 Cyg is estimated to be Rd/R? ? 10.0, assuming a Keplerian disk, suggesting that it has a large disk. We classify stars which have shown triple-peaks into two groups and find that the triple-peak emission in 59 Cyg is similar to ? Tau. OT Gem is found to have a fractional critical rotation of ?0.30, suggesting that it is either a slow rotator or viewed in low inclination. In OT Gem, we observed a large reduction in the radius of the H ? emission region from ?6.9 to ?1.7 in a period of three months, along with the reduction in the emission strength. Our observations suggest that the disk is lost from outside to inside during this disk loss phase in OT Gem. 2017, Indian Academy of Sciences. -
Should we judge phcs by only iphs guidelines or probe further?
Background: Indian Public Health Standards (IPHS) evaluates supply side compliance of Primary Health Centers (PHCs). Patient Satisfaction (PS) on the other hand, assesses the demand side. Objective: Examining the supply side compliance and relating it to PS in the domain of Reproductive Health (RH). Methods: Using multistage stratified sampling, six rural and three urban PHCs in sub-districts, Ramanagara and Channapatna, in District Ramanagara, state of Karnataka, India, were chosen. Information collected using IPHS proforma for PHCs was compared with PS questionnaire (PSQ 18) data, collected from 398 patients visiting these facilities. Results: Using descriptive and inferential analysis, sub-optimal compliance levels in ease of access, physical & human infrastructure, patient data and usage of untied funds was found. Existing behavioral compliance was found to be optimal. These findings were in alignment with PS findings. Conclusion: Results call for PHC capacity building, incentivization and a crucial need to look into PS side, before passing judgement about performance standard. 2020, Indian Association of Preventive and Social Medicine. All rights reserved. -
Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English-Hindi Language Pairs
The cross-lingual plagiarism detection (CLPD) is a challenging problem in natural language processing. Cross-lingual plagiarism is when a text is translated from any other language and used as it is without proper acknowledgment. Most of the existing methods provide good results for monolingual plagiarism detection, whereas the performances of existing methods for the CLPD are very limited. The reason for this is that it is difficult to represent the text from two different languages in a common semantic space. In this article, a novel Siamese architecture-based model is proposed to detect the cross-lingual plagiarism in English-Hindi language pairs. The proposed model combines the convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) network to learn the semantic similarity among the cross-lingual sentences for the English-Hindi language pairs. In the proposed model, the CNN model learns the local context of words, whereas the Bi-LSTM model learns the global context of sentences in forward and backward directions. The performances of the proposed models are evaluated on the benchmark data set, that is, Microsoft paraphrase corpus, which is converted in the English-Hindi language pairs. The proposed model outperforms other models giving 67%, 72%, and 67% weighted average precision, recall, and F1-measure scores. The experimental results show the effectiveness of the proposed models over the baseline models because the proposed model is very efficient in representing the cross-lingual text very efficiently. Copyright 2023, Mary Ann Liebert, Inc., publishers 2023. -
Sibling Bereavement Among Young Indian Adults
This qualitative study explores the bereavement experiences of 12 surviving siblings in India, focusing on familial, societal, and cultural influences. Six themes emerged: The Demanding Familial Role, Isolation That Accompanies the Grief, Damaging Impact of Society, Positive Role of Friends and Family, Support Systems, and Continuing Bonds. Participants often felt the burden of supporting their parents, leading to personal grief suppression and isolation, exacerbated by societal stigmas. Conversely, empathetic friends, supportive extended family, and professional resources like therapy provided crucial coping mechanisms. Continuing bonds with the deceased offered comfort and connection. The study highlights the need for comprehensive support systems tailored to cultural and societal contexts. It emphasizes the importance of public awareness and education to foster a supportive response to bereavement. Further research with larger, more diverse samples is recommended. The Author(s) 2024. -
Sibling influence on musical identity in emerging adults
A key characteristic and an important task of emerging adulthood is identity development. Music provides an important context for identity development, especially in emerging adults, and siblings in turn play an important role in the process of identity development. Using a qualitative narrative approach, this study aims to understand the role of siblings in the musical identity development of emerging adults. Five emerging adults between the age range of 1825years were recruited and interviewed individually. Thematic narrative analysis of the transcripts gave rise to 3 themes: Sibling Relationships, Early Identity and Discrepancy, and The Growth Journey. Overall, it was evident that siblings played a crucial role and had a large impact on the identity development process of the participants. This study provided support for Arnett's theory of emerging adulthood, with identity exploration being a defining feature of this developmental period. Further, the study also supported the notion of important others impacting the identity verification process according to identity control theory. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. -
SIDNet: A SQL Injection Detection Network for Enhancing Cybersecurity
SQL (Structured Query Language) injection is one of the most prevalent and dangerous forms of cyber-attacks, posing significant threats to database management systems and the overall security of web applications. By exploiting vulnerabilities in web applications, attackers can execute malicious SQL statements, potentially compromising the integrity and confidentiality of critical data. To combat these threats, in this study, we introduce two novel CNN models, SIDNet-1 (SQL Injection-attack Detection Network-1) and SIDNet-2 (SQL Injection-attack Detection Network-2), specifically designed for the classification of SQL injection attacks to bolster web application security. Our comprehensive evaluation includes a comparison of the performance of these customized CNN models against traditional machine learning approaches, highlighting improvements in classification accuracy and reductions in false alarm rates. The proposed models have been experimented with two publicly available dataset SQLI (SQL-Injection) and SQLV2 (SQL-Injection version2). Specifically, SIDNet-1 achieves an impressive accuracy of 98.02% on the SQLI dataset, while SIDNet-2 closely follows with 97.54%. Furthermore, on the SQLIV2 dataset, SIDNet-1 attains 97.77%, and SIDNet-2 achieves 97.83% accuracy respectively. 2013 IEEE. -
Sigmoidal Particle Swarm Optimization for Twitter Sentiment Analysis
Social media, like Twitter, is a data repository, and people exchange views on global issues like the COVID-19 pandemic. Social media has been shown to influence the low acceptance of vaccines. This work aims to identify public sentiments concerning the COVID-19 vaccines and better understand the individuals sensitivities and feelings that lead to achievement. This work proposes a method to analyze the opinion of an individuals tweet about the COVID-19 vaccines. This paper introduces a sigmoidal particle swarm optimization (SPSO) algorithm. First, the performance of SPSO is measured on a set of 12 benchmark problems, and later it is deployed for selecting optimal text features and categorizing sentiment. The proposed method uses TextBlob and VADER for sentiment analysis, CountVectorizer, and term frequency-inverse document frequency (TF-IDF) vectorizer for feature extraction, followed by SPSO-based feature selection. The Covid-19 vaccination tweets dataset was created and used for training, validating, and testing. The proposed approach outperformed considered algorithms in terms of accuracy. Additionally, we augmented the newly created dataset to make it balanced to increase performance. A classical support vector machine (SVM) gives better accuracy for the augmented dataset without a feature selection algorithm. It shows that augmentation improves the overall accuracy of tweet analysis. After the augmentation performance of PSO and SPSO is improved by almost 7% and 5%, respectively, it is observed that simple SVM with 10-fold cross-validation significantly improved compared to the primary dataset. 2023 Tech Science Press. All rights reserved. -
Sign reversal of the spontaneous and induced polarisation in a mixture of achiral liquid crystal host and chiral azo dopant
Achiral liquid crystal, possessing orthogonal smectic A and tilted smectic C phases in its phase sequence, was doped with a chiral photochromic azo dopant. It was found that the spontaneous and induced polarisation in the tilted smectic C* phase and in the orthogonal smectic A phase, respectively, change their sign, as well as their magnitude, under illumination with UV light. The origin of this sign reversal effect is considered to be the different sign of the molecular net dipole moment component y of trans- and cis-isomers of the photochromic azo dopant, respectively. This light-induced sign reversal effect seems to have large potential for applications in the light-light controlled photonic liquid crystal devices, based on this effect. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Signature based key exchange for securing data and user from web data stealing attacks
Due to the immense technological growth, web and its related applications are becoming a major part of everyday life. The growth of the internet and technology not only increases the positive benefits but also increases negative activities such as data theft. As web applications are used frequently for many online services, it is the most common and valuable target for the adversary to host any web vulnerabilities. Data theft or data stealing attacks are quite common in the web and the internet with severe consequences. The private data are generally stored on the system which gives an opportunity for the attacker to steal the data from the storage or during transit. However, apart from stealing the critical data from the user, the attacker also steals the sensitive data from the web applications. This type of attack takes several forms for stealing perilous information from the user and web application. Unfortunately, these attacks are easy to execute as the attacker needs only the internet connection, a web server and technical knowledge which are readily available. Several prevention strategies exist to thwart the user and the application from the web attacks, however, they do not provide the complete solution. This paper presents the signature based key exchange to prevent the user as well as the web application from several variations of data stealing attacks through mutual attestation. The experimental results show that the proposed method prevents the user and application from data theft than any other existing methods. BEIESP. -
Significance of aggregation of nanoparticles, activation energy, and Hall current to enhance the heat transfer phenomena in a nanofluid: a sensitivity analysis
The mechanisms involved in the heat transport enhancement due to suspended nanoparticles are still unclear. Many studies have shown that nanoparticle aggregation is a key aspect of increasing nanofluid thermal conductivity. Nevertheless, the fractal dimension of nanoparticle aggregation will have a substantial impact on the nanofluids thermal conductivity. Therefore, the present study examines the influence of nanoparticle aggregation and Hall current on the nanoliquid flow past a spinning disk. The importance of Arrhenius activation energy is also investigated. A revised correlation for the aggregation mechanism is attained using the modified Krieger-Dougherty model (KD-model) and the Maxwell-Bruggeman model (MB-model). A similarity technique and finite difference method are used to construct the numerical solutions for the boundary value problem. The 2D plots and 3D surface plots are shown to investigate how different key parameters impact the velocity, temperature, and concentration fields. The study highlights that the Hall current has a beneficial effect on the fluid flow field. Higher activation energy leads to a productive chemical reaction which, improves the concentration layer. The thermal boundary for NPs aggregationis superior than to that withoutNPs aggregation, and the suspension of nanoparticles will have a favorable impact on the thermal layer. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Significance of bar quenching in the global quenching of star formation
The suppression of star formation in the inner kiloparsec regions of barred disk galaxies due to the action of bars is known as bar quenching. We investigate here the significance of bar quenching in the global quenching of star formation in the barred galaxies and their transformation to passive galaxies in the local Universe. We do this by measuring the offset of quenched barred galaxies from star-forming main sequence galaxies in the star formation rate-stellar mass plane and comparing it with the length of the bar, which is considered as a proxy of bar quenching. We constructed the star formation rate-stellar mass plane of 2885 local Universe face-on strong barred disk galaxies (z< 0.06) identified by Galaxy Zoo. The barred disk galaxies studied here fall on the star formation main sequence relation with a significant scatter for galaxies above stellar mass 1010.2M. We found that 34.97% galaxies are within the intrinsic scatter (0.3 dex) of the main sequence relation, with a starburst population of 10.78% (above the 0.3 dex) and a quenched population of 54.25% (below the-0.3 dex) of the total barred disk galaxies in our sample. Significant neutral hydrogen (MHI > 109Mwith log MHI/M?-1.0 to-0.5) is detected in the quenched barred galaxies with a similar gas content to that of the star-forming barred galaxies. We found that the offset of the quenched barred galaxies from the main sequence relation is not dependent on the length of the stellar bar. This implies that the bar quenching may not contribute significantly to the global quenching of star formation in barred galaxies. However, this observed result could also be due to other factors such as the dissolution of bars over time after star formation quenching, the effect of other quenching processes acting simultaneously, and/or the effects of environment. ESO 2019. -
Significance of Big Data and Analytics in Higher Education
International Journal of Computer Applications Vol. 68, Issue 14, pp. 21-23, ISSN No. 0975-8887 -
Significance of buoyancy, velocity index and thickness of an upper horizontal surface of a paraboloid of revolution: The case of non-Newtonian carreau fluid
The problem of fluid flow on air-jet weaving machine (i.e. mechanical engineering and chemical engineering) is deliberated upon in this report using the case of non-Newtonian Carreau fluid flow. In this report, the boundary layer flow of the fluid over an upper horizontal surface of a paraboloid of revolution is presented. The dimensional governing equations were nondimensionalized, parameterized, solved numerically and discussed. Maximum horizontal velocity is ascertained at smaller values of thickness parameter, a larger value of buoyancy related parameter and the flow is characterized as shear-thickening. Local skin friction coefficient is an increasing and a decreasing property of Deborah number for Shear thinning and Shear-thickening cases of the flow respectively. The velocity of the flow parallel to the surface (uhspr) is a decreasing property of thickness parameter and increasing function of velocity index parameter. 2018 Trans Tech Publications, Switzerland. -
Significance of Darcy-Forchheimer Porous Medium in Nanofluid Through Carbon Nanotubes
This article manages Darcy-Forchheimer 3D flow of water based carbon nanomaterial (CNTs). A bidirectional nonlinear stretchable surface has been utilized to make the flow. Disturbance in permeable space has been represented by Darcy Forchheimer (DF) expression. Heat transfer mechanism is explored through convective heating. Outcomes for SWCNT and MWCNT have been displayed and compared. The reduction of partial differential framework into nonlinear common differential framework is made through reasonable variables. Optimal series scheme is utilized for arrangements advancement of associated flow issue. Optimal homotopic solution expressions for velocities and temperature are studied through graphs by considering various estimations of physical variables. Moreover surface drag coefficients and heat transfer rate are analyzed through plots. 2018 Chinese Physical Society and IOP Publishing Ltd.