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Understanding feminism on online platforms: Exploration and analysis of two online platforms
This article explores how feminism is practised and communicated on digital plat-forms. Feminism in India and Khabar Lahariya are two online platforms studied with interviews of respondents to understand how the online spaces are used for knowledge sharing that take feminist perspective. New media opened up spaces for people to communicate from any part of the world, create media content and circulate it. Visibility, privacy, accessibility and risks are negotiated by the report-ers and content creators to produce alternative cultural production from an inter-sectional feminist standpoint. 2022 Intellect Ltd Article. -
Why learning space matters: a script approach to the phenomena of learning in the emergency remote learning scenario
The study focuses on how the notion of learning space is perceived and experienced by learners in the Emergency Remote Learning (ERL) scenario. In doing so, the lived experiences of remote learners who were abruptly shifted to a completely online learning space due to the pandemic COVID-19 in the Indian higher education system are documented. Online interviews were conducted with eight undergraduate and four postgraduate students of English and Cultural Studies, enrolled at a Southern Indian university, and their responses were explicated using the Interpretive Phenomenological Analysis (IPA) approach. The interviews revealed that the phenomenon of ERL is shaped by dissonance informed by the absence of a familiar learning space. Often the patterns of this dissonance were marked by (1) the perception of learning and learning space, (2) the lack of intimacy in learning and learning space, (3) the negotiations made for learning and the space of learning in ERL, and (4) the challenges to cope with the responsibilities of the ERL scenario. Further, the script approach was applied to analyse the data and the analysis revealed an expansion of the existing internal scripts that were based on previous learning experiences of the learners. The study thus establishes the centrality of space in the process of learning and points out how the lack of a familiar learning space is linked to the absence of internal scripts that considerably impact learning. The study concludes by discussing the possibilities of application of script approach to effectively incorporate the aspect of learning space in new pedagogies and learning models as Blended Learning (BL) and Online Learning (OL) become the new normal worldwide. 2021, Beijing Normal University. -
The mobility paradigm in higher education: a phenomenological study on the shift in learning space
The study, through the framework of mobility and space, explores the phenomenon of multiple shifts in learning spaces induced by COVID-19. The Interpretative Phenomenological Approach (IPA) is adopted to document the experiences and perceptions of learners caught within these spatial shiftsphysical, online, and hybrid. Online interviews were conducted with six first-year undergraduate and three first-year postgraduate students enrolled at the department of English and Cultural Studies in a Southern Indian University. Some of the dominant patterns emerging from the accounts of the participants are (1) the changing perception of conducive learning space, (2) the changing perceptions and roles of various classroom actors, and (3) the evolving nature of the learners and the learning process. The study utilizes the framework of mobility to locate the stage of embodied skill acquisition of the participants within the online learning space and illuminates the possibilities offered by this paradigm within the context of higher education. Some of the insights gained through the study include a changing perception of the conventional built classroom space, a notable preference towards a complete online or offline mode as opposed to the hybrid mode, and a transition towards self-directed learning. The study argues that these implications are highly pertinent and can significantly shape the way pedagogues and researchers engage with the various modes of learningphysical, online, and hybridand the future of higher education that is shaped by technology-enabled learning. 2021, The Author(s). -
Strategies for facilitating listening skills among foreign language learners in US Universities
Developing from the thesis that understanding is the key to any and all meaningful conversation/s, this study focuses on the facilitation of listening skills among foreign language learners. It is conducted with the objective to find out the most effective ways in which an instructor can enable the development of listening skills among the learners of a foreign language. This paper reports the findings of an empirical study which followed a cross-sectional research design and employed a survey method to elicit the data. Twenty-seven Foreign Language Instructors/ Associate Instructors teaching around thirteen different foreign languages across sixteen different universities in the United States of America participated and reported to a survey on effective pre-listening, listening, and post-listening tasks, activities, and strategies which they found to be the most powerful in their respective classrooms. Thirteen of the Seventeen strategies and or/ tasks which were provided in the Strategies for Facilitating Listening (SFL) questionnaire were rated to be highly effective in the facilitation of the development of listening skills among the learners. The paper after discussing the efficacies of the strategies and tasks at hand ends by analyzing the pedagogical implications of the findings. 2020 The authors and IJLTER.ORG. All rights reserved. -
Do social and environmental disclosures increase firm value evidence from indian companies
There is a clear shift in the way the companies report their performance through the communications with their stakeholders. Moving from mere profit, the companies are increasingly showing their non-financial performance in terms of sustainability and social responsibility. Companies not only want to just spend on sustainability, but also like to project their activities to gain image among the stakeholders; more often with a separate set of report called corporate sustainability report, which is based on the triple bottom-line (profit, people, and planet). This study focused on understanding the corporate social and environmental reporting trends of Indian non-financial companies and the impact on market valuation. The sample constituted of companies in the BSE-100 index and data for 5 financial years - from FY2010 to FY2014 - were used. This period was chosen as it witnessed several regulatory changes in the triple bottom line reporting in the form of new Companies Act, 2013 and Clause 55 of the listing agreement. Paired 'f' test and panel data regression model were used for analyzing the data. This study found that the level of social and environmental disclosures has significantly improved post business responsibility reporting and positively significantly influenced market valuation. -
Impact of Voluntary Disclosure on Valuation of Firms: Evidence from Indian Companies
This article investigates the effect of voluntary corporate disclosures on the firm value from the market value perspective. Financial reporting includes disclosures as prescribed by regulators, but few companies go beyond mandatory requirements and provide additional information voluntarily. This study empirically tests the extent of such voluntary disclosures using Corporate Voluntary Disclosure Index containing 81 items of both financial and non-financial information and panel data regression to test the hypotheses. The sample for this study is the non-financial companies in the BSE 100 Index and the period is five financial years from 20102011 to 20142015. This study finds a positive association between voluntary disclosures and firm value as measured by Tobins Q. Especially the market gives a higher valuation for companies disclosing optional information on social and environmental, corporate governance and financial information. This finding has a significant implication for emerging economies like India and it supports various disclosure theories such as agency, stakeholders and positive accounting theories. 2020 Management Development Institute. -
Understanding blame attributions in rape among legal professionals
Rape in the Indian context, is a prominent issue, greatly influenced by socio-cultural values and beliefs. Victim blaming and the concept of an ideal victim is a social evil that makes life difficult for rape survivors. What would happen if officials responsible for providing justice possess this tendency? The study aimed at understanding this question through a qualitative study on eight legal professionals including two magistrates and six advocates. The data obtained was analysed using thematic network analysis as well as content analysis. It was observed that victim blaming was present in the responses given, but blame was directed onto other factors as well. Victim blaming varied with victim characteristics and blame was greater in case of acquaintance rape rather than stranger rape. Culture based stereotypes, sex roles and rape myths were observed and seemed to affect the way they made decisions. A more extensive study in future including a broader sample and professionals from different administrative realms can help understand the issue better. 2019 International Journal of Criminal Justice Sciences (IJCJS). -
Parental Attachment, Perceived Parental-Partner Similarity, and Relationship Satisfaction among Indian Emerging Adults
Theories of mate selection debate about whether people tend to choose partners based on similarities to their parents. The present study aimed to address whether a similarity in how people perceive their parents and their partners is associated with the relationship between parental attachment and relationship satisfaction by adopting a template-matching framework. Participants were urban, emerging adults in India (n = 263, 137 male and 126 female) who were measured for how they perceive the traits of a parental figure, traits of a partner, attachment to the parent, and relationship satisfaction with the partner. Data analysis was conducted using correlations, linear regressions, and moderation analyses. Findings show that perceived neuroticism of parents was associated with perceived neuroticism of the partner. Additionally, perceptions of neuroticism of parents predicted neuroticism in partners. Perceived agreeableness, neuroticism, and openness to experience moderated the relationship between parental attachment and relationship satisfaction. A gender difference with a small effect size in perceptions of similarity was observed for openness to experience and agreeableness. Finally, perceived agreeableness also moderated the relationship between parental attachment and relationship satisfaction for men and women separately. However, for men, perceived neuroticism also significantly moderated this relationship. The findings imply that, to an extent, the more emerging adults perceive similarities of certain traits in their parents and partners, the higher likelihood that their attachment to their parent predicts relationship satisfaction with their partner. Limitations and future directions have been discussed. The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India 2024. -
East west interfaces in 20th century india:
In the twenty-first century, the Western world is seeking a greater understanding of the people and nations of Asia, India in particular. The thesis, East West Interface in 20th century India: Analysis of Western women s responses is an attempt to illuminate at least an aspect of that interface during a given period of the past, so as to help shed some light on the newlinepresent day Western approach to India. Throughout the colonial period, Western women got attracted to India. However, during the 20th century, arrival of four eminent Western women from diverse backgrounds, with different intentions had far-reaching impact for India. Katherine Mayo, Margaret Elizabeth Noble, Annie Besant and Madeline Slade, not only got actively involved with the Indian society but in their own ways contributed towards newlinetransforming the Indian society. newlineThey left an overwhelming impact on the Indian political fabric. The thesis aims to analyze the contribution of these four outstanding Western women and attempts to understand how Indian socio-political and cultural structure got influenced by and drew inspirations from them. This work also attempts to add to the process of evolution newlineof understanding the East by the West. newline -
Hybrid Deep Learning Framework for Continuous Blood Glucose Monitoring and Gestational Diabetes Risk Prediction
Gestational diabetes mellitus (GDM) affects almost 10%-12% of pregnancies worldwide, threatening maternal and fetal life. Continuous glucose monitoring (CGM) forms the backbone of managing GDM, and the current methodologies largely disregard physiological and behavioral factors, thereby greatly reducing accuracy and clinical interpretability. Methods: A hybrid deep learning framework was developed by fusing CGM with multi-sensing modality data, including heart rate, activity levels, sleep patterns, and dietary intake. For data preprocessing, Kalman filtering was applied for temporal alignment, adaptive normalization provided outlier handling and imputation, while the CNN-BiLSTM backbone with attention was harnessed for feature extraction. A Multi-Task Attention Fusion Network (MTAFN) was used to predict glucose values and classify GDM risk simultaneously, while SHAP and dynamic smoothing contributed to interpretability sets. Results: The framework was validated on an extended OhioT1DM dataset with adaptations for pregnancy. It reached a glucose prediction RMSE of 9.8 mg/dL and a GDM risk classification accuracy of 93%. Compared to competitive approaches, the present solution attained a 25% better accuracy on interpretability and an improvement in sensitivity and specificity of about 4-6% across various physiological conditions. Discussion: The use of multi-sensing data increased prediction robustness by capturing complex physiological dependencies. The SHAP-based interpretability justified the predictions through a physiological lens. With an attention mechanism for feature weighting, it was possible to identify crucial variables like meal intake and nighttime variability in the workflow sets. Conclusion: The hybrid framework proposed here is reliable for clinically interpretable continuous glucose monitoring and GDM risk predictions. Its application with high reliability can lead to integrating it within clinical protocols for real-time maternal care sets. 2026, The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. -
Detection and identification of un-uniformed shape text from blurred video frames
The identification and recognition of text from video frames have received a lot of attention recently, that makes many computer vision-based applications conceivable. In this study, we modify the picture mask and the original identification of the mask region convolution neural network and permit detection in three levels, including holistic, sequence, and at the level of pixels. To identify the texts and determine the text forms, semantics at the pixel and holistic levels can be used. With masking and detection, existences of the character and the word are separated and recognised. In addition, text detection using the results of 2-D feature space instance segmentation is done. Moreover, we explore text recognition using an attention-based optical character recognition (OCR) method with mask region convolution neural networks (R-CNN) to address and detect the problem of smaller and blurrier texts at the sequential level. Using attribute maps of the word occurrences in sequence to seq, the OCR method calculates the character sequence. At last, a fine-grained learning strategy is proposed to constructs models at word level using the annotated datasets, resulting in the training of a more precise and reliable model. The well-known benchmark datasets ICDAR 2013 and ICDAR 2015 are used to test our suggested methodology. 2024, Institute of Advanced Engineering and Science. All rights reserved. -
Customized mask region based convolutional neural networks for un-uniformed shape text detection and text recognition
In image scene, text contains high-level of important information that helps to analyze and consider the particular environment. In this paper, we adapt image mask and original identification of the mask region based convolutional neural networks (R-CNN) to allow recognition at 3 levels such as sequence, holistic and pixel-level semantics. Particularly, pixel and holistic level semantics can be utilized to recognize the texts and define the text shapes, respectively. Precisely, in mask and detection, we segment and recognize both character and word instances. Furthermore, we implement text detection through the outcome of instance segmentation on 2-D feature-space. Also, to tackle and identify the text issues of smaller and blurry texts, we consider text recognition by attention-based of optical character recognition (OCR) model with the mask R-CNN at sequential level. The OCR module is used to estimate character sequence through feature maps of the word instances in sequence to sequence. Finally, we proposed a fine-grained learning technique that trains a more accurate and robust model by learning models from the annotated datasets at the word level. Our proposed approach is evaluated on popular benchmark dataset ICDAR 2013 and ICDAR 2015. 2023 Institute of Advanced Engineering and Science. All rights reserved. -
Economic, Political, and Demographic Drivers of Social Isolation: Exploring the Role of Digital Literacy and Migration in Shaping Social Isolation - A Qualitative Study
This chapter examines the impact of migration and digital literacy on social isolation amongst workers. Migration can disrupt established social networks, making it challenging for an individual to establish and build new connections. The research employed a qualitative approach, and data were collected through semi-structured interviews with migrant workers residing in Bengaluru. The findings provide contextual information on the causes of social isolation and help acquire more knowledge on how migration and digital literacy relate and influence social isolation. It prioritises individual experience over statistical data, with an increased understanding of the drivers of social isolation. Advanced digital literacy, on the other hand, can reduce social isolation by enabling migrants to maintain connections with their immediate family, access information, and develop innovative social networks. The research study's findings had a significant impact on policies and employers, highlighting the importance of social integration and mental health. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. -
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Peristaltic mechanism of Ellis fluid with viscous dissipation and thermal radiation induced by cilia wave
Bioheat transfer analysis in tissue has attracted the attention of numerous researchers due to its widespread potential applications in the medical field, mainly in thermotherapy and the human thermoregulation system. Also, temperature regulation of the human body primarily occurs through bioheat transfer. Due to the widespread biomedical applications of bio-heat transfer, we aim to investigate the movement of biofluid and bioheat in human organs with the influences of thermal radiation and ciliary waves. The mathematical model for Ellis fluid flow through a tube includes the metachronal wave of cilia motion and convective conditions. The governing equations are created based on mass, momentum conservation, and energy. The current problem is displayed and exact solutions are managed under long wavelength (? ? 1) and low Reynolds number (Re ? 1) approximations. An analytical approach is employed to derive expressions for longitudinal velocity, temperature, pressure gradient, and stream function as a function of the parameters of the problem. The physical behavior of the peristaltic motion of the Ellis fluid is explained in detail and illustrated graphically for various parameter values. The results of the current study provide potential information for advancement in the biomedical industry, particularly in the development of biomedical devices and processes. 2025 World Scientific Publishing Europe Ltd. -
Electro-osmotically modulated viscoelastic SWCNT-blood flow in symmetric/nonsymmetric stenosed arteries with heat generation using a fractional second grade model
This study examines the electro-osmotically modulated viscoelastic blood flow in arteries with both symmetric and nonsymmetric stenosis, accounting for heat generation and thermal buoyancy effects. Blood is modeled as a fractional second-grade fluid to more accurately capture its viscoelastic and memory-dependent behavior. The DebyeHkel linearization is applied to analyze the electro-osmotic effects. The governing partial differential equations are reduced to a system of ordinary differential equations using appropriate scaling transformations. Analytical solutions are derived for the resulting nondimensional boundary value problem. Key flow characteristics, such as axial velocity, temperature distribution, electric potential, volumetric flow rate, and wall shear stress, are computed and illustrated graphically using the Mathematica software. The computations reveal that axial velocity decreases near the arterial walls but increases in the core region for both symmetric (n = 2) and nonsymmetric (n = 6) stenoses with rising HelmholtzSmoluchowski velocity (UHs), CNT volume fraction (?), Debye length parameter (m), and stenosis height (e). Heat generation (? > 0) further enhances both velocity and temperature. Increasing ? reduces temperature and wall shear stress (?w), while higher flow rate (Q) and stenosis height (e) are elevated (?w). Nonsymmetric stenoses yield higher temperatures than symmetric ones. Trapping boluses grow in size and number with increasing Q for both stenosis types. These findings underscore the significant role of electro-osmotic and viscoelastic effects in hemodynamic regulation, with potential biomedical applications. World Scientific Publishing Europe Ltd. -
Electro-osmotic peristaltic streaming of a fractional second-grade viscoelastic nanofluid with single and multi-walled carbon nanotubes in a ciliated tube
Mathematical modeling of carbon nanotubes (CNTs) in biological fluids is essential for drug delivery, biosensing, and targeted therapy. This study explores the transport dynamics of single-walled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) based nanofluids under electro-osmotic peristaltic flow influenced by ciliary motion. A microfluidic channel lined with cilia, hair-like structures found in human airways and reproductive tracts, is considered. The coordinated beating of cilia generates a wavelike motion that propels the surrounding biological fluid. When an electric field is applied across the channel, electro-osmotic forces further modify the flow, affecting velocity and temperature distribution. A nanofluid, consisting of CNTs suspended in a base fluid, flows through this cilia-driven microchannel. The transport process is governed by electro-osmosis, heat transfer, and thermal radiation effects, with simplifications based on long-wavelength and low Reynolds number assumptions. The Caputo fractional model and DebyeHkel linearization are used to analyze the interaction between electro-osmotic forces and thermal-mechanical effects. The results reveal that the negative Helmholtz-Smoluchowski parameter (Uhs) reduces the axial velocity in the core whereas it increases in the periphery of the channel, while the opposite trend is observed for positive Uhs. Longer cilia (?) and higher electro-osmotic parameter (m) slow the core flow while accelerating peripheral transport. Thermal effects indicate that an increased heat source (B) raises temperature and axial velocity, whereas a higher nanotube volume fraction (?) enhances axial velocity but reduces temperature. Notably, MWCNTsexhibit superior axial velocity and temperature enhancement compared to SWCNTs. These outcomes provide valuable insights into electro-osmotic cilia-driven nanofluid transport, offering a theoretical foundation for optimizing microfluidic and biomedical applications. 2025 -
Peristaltic mechanism of Ellis fluid with viscous dissipation and thermal radiation induced by cilia wave
Bioheat transfer analysis in tissue has attracted the attention of numerous researchers due to its widespread potential applications in the medical field, mainly in thermotherapy and the human thermoregulation system. Also, temperature regulation of the human body primarily occurs through bioheat transfer. Due to the widespread biomedical applications of bio-heat transfer, we aim to investigate the movement of biofluid and bioheat in human organs with the influences of thermal radiation and ciliary waves. The mathematical model for Ellis fluid flow through a tube includes the metachronal wave of cilia motion and convective conditions. The governing equations are created based on mass, momentum conservation, and energy. The current problem is displayed and exact solutions are managed under long wavelength (? < 1) and low Reynolds number (Re < 1) approximations. An analytical approach is employed to derive expressions for longitudinal velocity, temperature, pressure gradient, and stream function as a function of the parameters of the problem. The physical behavior of the peristaltic motion of the Ellis fluid is explained in detail and illustrated graphically for various parameter values. The results of the current study provide potential information for advancement in the biomedical industry, particularly in the development of biomedical devices and processes. World Scientific Publishing Europe Ltd. -
Enhancing Video Surveillance for Crime Detection Using Anomaly Detection Techniques
Security cameras are widely used to detect and prevent crimes, but the number of surveillance videos has increased due to this prevalence. The process of detecting similarities or data points that significantly depart from the norm or expected behavior of a given system is known as anomaly detection. Predictive maintenance, network intrusion detection, and fraud detection are just a few of the areas where anomaly detection is applied. By processing these videos with the help of a suitable machine learning algorithm, unfavorable events can be brought to the attention of experts to manually monitor. Since these unfavorable events are of various types and few in number, this problem can be addressed in the anomaly detection structure. An anomaly detection algorithm has been developed using the UCF-Crime dataset consisting of 1900 surveillance videos of various lengths. In this context, video surveillance refers to observing the scenes of improper human behaviors which are termed as real world anomalies. Depending on the availability of data sets, anomaly detection algorithms can be supervised, unsupervised, or semi- supervised. The quality of the data and the selection of the best algorithms determine how well anomaly detection techniques work. This paper proposes the use of anomaly detection techniques to enhance video surveillance systems for crime detection. By identifying unusual activities in surveillance footage, the system can alert authorities to potential criminal activity and improve overall security measures. The effectiveness of this approach is demonstrated through experiments and analysis of real-world surveillance data. 2025 Author(s). -
Effectiveness of films in propagating environmental issues - A comparison between live action and animation films /
The thesis aims at finding out which is a better medium to communicate environmental issues. For the purpose of the research, four films were selected, two live action films and two animation films. 2012 and 8 Below are the two live action films and Wall-E and Madagascar are the two animation films. The study had a sample of 86 people, 45 females and 41 males respectively between the age group of 18 to 28 years. A survey was conducted, consisting of four questions each for the four films. The questions were devised to find out the theme of the films, whether or not the film has scientific grounding and if yes as to the reason why. After tabulating and analysing the results it can be seen that animation films are more popular as 76% of the sample has seen the animation films and majority of the sample believes the films have scientific grounding and that the issues and rendered in a comic fashion. 2012 and Madagascar have been watched equally by the sample, both of them have 80 percent.