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Online Higher Education : A Mixed Method Study of Delhi NCR, India
The education system in the new era displays extensive adaptability, as proven by presentday realities. In ancient India, the Gurukul system prevailed during the Vedic period, where Gurus guided students in an ashram or hermitage. This is quite different from the contemporary education system we have today. The modern education system involves structured classrooms, where teachers guide students in an institutional setting. The COVID-19 pandemic has brought about significant changes in the contemporary education system worldwide. This and the emergence of Digital India and the internet led to a structural change in the modern education system, from physical classrooms to online and remote classrooms. That means a paradigm shift happened in the educational system where Gurus are replaced by e-gadgets, books are being replaced by eBooks and traditional classrooms are being replaced by smart classrooms and online classes. The shift to remote learning has brought forth several challenges to the educational system which includes lack of meaningful teacher-student interaction, lack of motivation and engagement and its impact on mental health. This opens the scope for understanding the pros and cons of different modes of educational practices followed in the Indian online higher education system. Therefore, newlinethe present research captured experiences of teachers and students from Delhi NCR region newlineabout online higher education and the learning environment to understand the effectiveness of online learning. This research also focuses on social and psychological behavior along with the perceptions of teachers and students about online learning. The study explored the newlinechallenges and problems faced by them in online learning. A mixed method approach was newlineused for understanding the changing structure of the digital classroom. Along with the newlinedigital participatory approach, structured interviewing was used to have a better and in-depth understanding of online learning. -
Distillery effluent valorization through cost effective production of polyhydroxyalkanoate: optimization and characterization
The devastating effect of fossil plastics in the biosphere has tuned the concern for bioplastic production in the last few decades. Polyhydroxyalkanoate, a biopolyester, has a wide range of applications as they impose positive societal impact by being biodegradable and void of any ill-effects when used in vivo. Despite their eco-friendly nature, the outreach of PHA is bounded in industrial scale as the overall expense is highly comparable to conventional plastics. Therefore, in an attempt to attain a feasible production, the present study aims at utilizing raw distillery effluent for PHA production using Bacillus subtilis NCDC 0671. Different dilutions of spent wash (5%, 10%, 15%, and 20%) were assessed for PHA production in the modified medium among which 10% showed maximum PHA accumulation. Furthermore, statistical optimization by response surface methodology enhanced PHA synthesis to 6.3g/L which is 3.3-fold increases. FTIR and NMR characterization of the biopolymer from the optimized medium was similar to the previous literature which provides a promising approach for cost effective production. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. -
Banana peels as a cost effective substrate for fungal chitosan synthesis: optimisation and characterisation
Massive accumulation of unprocessed banana peels enthralls sustainable issues as they are eventually dumped as landfills leading to emission of obnoxious gasses. To avoid these persisting challenges the present study shims lights on chitosan production from the characterised fungal strain using banana peel hydrolysate as an effective medium. Substantial amount of carbohydrate in banana peels serves as a potential solution for fungal chitosan production in a view to attain a circular bioeconomy and repurposed for synthesis of beneficial products in a cost effective manner. Presence of fermentable sugars in banana peels qualifies them as a feasible substrate which could be exploited for scaling up of fungal chitosan synthesis. Screened isolate was subjected to statistical optimisation using formulated medium to elucidate the influential factors that had significant effect on chitosan production. The harvested chitosan biomass was characterised through standardised techniques and evaluated for further studies. Statistical optimisation reveals that ammonium nitrate (5 g/L), pH (6) and incubation time (144 hrs) were the three PBD variables that had a greater influence on fungal chitosan yield. The validated developed model exhibited maximum yield of 200 mg/L, a 4.4 fold increase than unoptimised medium (45 mg/L). These findings emphasise the fermentative synthesis of chitosan through valorisation of banana peel prop up a complementary approach in concomitant with preserving renewable resources and bioproduct formation. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
USB and wireless mouse with left thumb scroll /
Patent Number: 350151-001, Applicant: Sanjay Rastogi. -
Holder for pens/visiting cards/paperclips /
Patent Number: 355121-001, Applicant: Dr.Priyanka. -
Holder for pens/visiting cards/paperclips /
Patent Number: 355121-001, Applicant: Dr.Priyanka. -
Holder for pens/visiting cards/paperclips /
Patent Number: 355121-001, Applicant: Dr.Priyanka. -
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Organic produce and millennials: Motives, attitudes and purchase intention
In this paper, we focus and discuss the factors, which motivates and influence consumer behavior towards organic produce. We extract findings from the Bengaluru city and target population of the study is the millennials i.epeople who belongs to the age group of 23-38. The shift in the attitude and preference of the modern consumers is greatly influenced by the proliferation of various health problems. This study provides a framework for organic industry to understand consumers demand and preferences and provides a perspective of Indian organic produce industry from consumers perspective which might serve as a basis for the future development of organic produce market. 2019 SERSC. -
Convergence of retail banking interest rates to households in euro area: Time-varying measurement and determinants /
International Economics and Economic Policy, Vol.17, Issue 1, pp.25-65 -
Asymmetric dynamic conditional copula correlation and fundamental determinants of interest rate comovement /
Journal of Economic Integration, Vol.34, Issue 4, pp.667-704, ISSN No: 1225-651X. -
Real-Time Stress Monitoring Using IoT Wearable Sensors and Machine Learning
This research explores the potential of Internet of Things (IoT)-enabled wearable sensors in conjunction with machine learning techniques for real-time, non-invasive stress monitoring in women, using physiological data indicative of stress states. An IoT Wearables Dataset for Womens Safety: Stress Detection and Analysis was sourced from IEEE Data port and was used to train four supervised machine learning models, namely, random forest, support vector machines (SVM), gradient boosting, and logistic regression to classify individuals into categories of stressed and unstressed based on a predefined threshold of 0.35. The random forest algorithm attained the highest accuracy of 88.5% in categorizing stress, demonstrating reliable capabilities in identifying stress indicators from wearable sensor data. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Real-Time Stress Monitoring Using IoT Wearable Sensors and Machine Learning
This research explores the potential of Internet of Things (IoT)-enabled wearable sensors in conjunction with machine learning techniques for real-time, non-invasive stress monitoring in women, using physiological data indicative of stress states. An IoT Wearables Dataset for Womens Safety: Stress Detection and Analysis was sourced from IEEE Data port and was used to train four supervised machine learning models, namely, random forest, support vector machines (SVM), gradient boosting, and logistic regression to classify individuals into categories of stressed and unstressed based on a predefined threshold of 0.35. The random forest algorithm attained the highest accuracy of 88.5% in categorizing stress, demonstrating reliable capabilities in identifying stress indicators from wearable sensor data. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Mushroom-Derived Carbon Nanosheets for Efficient Photothermal De-Icing Applications
The green synthesis of nanomaterials has emerged as a viable alternative to traditional techniques that reduce environmental risks and the production of harmful byproducts. In this work, biomaterial derived from wild mushrooms was used to synthesize psilocybin-derived carbon nanosheets (P-CNSs). The bioactive substance psilocybin serves as a sustainable precursor that ensures an environmentally friendly synthesis procedure. Spectroscopic measurements confirm the structural and functional properties of the P-CNSs. The naturally extracted P-CNSs demonstrated substantial photothermal conversion efficiency under both visible and infrared light. Their adaptability for thermal applications was shown by their medium-specific response. Furthermore, in photothermal de-icing, P-CNSs effectively melted ice under visible light exposure, making it a crucial application. Additionally, density functional theory (DFT) and time-dependent DFT calculations were performed to optimize the structures of psilocin, baeocystin, and norbaeocystin, which show the electronic transitions responsible for the appearance of absorption and fluorescence behavior. This work draws attention to the inclusion of psilocybin in green synthesis to produce an affordable and sustainable solution for environmental issues brought to the forefront by the advantages of environmentally benign manufacture and multipurpose use, especially in thermal control and environmental remediation. 2026 American Chemical Society -
Sridevi's Stardom as A Cultural Vehicle for Women Empowerment and Social Commentary: A Textual Analysis of English Vinglish (2012) and Mom (2017)
In the Indian film sector, stardom is more than mere performance; it operates as a cultural text that produces impacts and negotiates with social values, ideals, and contradictions. Female stardom, in this way, is particularly potent in generating discourses of gender and empowerment, both disrupting patriarchal norms while enacting socially accepted moral orders. Sridevi's stardom carries specific cultural resonance, as the films she stars in offer a blend of popular entertainment while carrying deeper social significance. This study seeks to understand Sridevi's stardom and the potential for her representation of women's empowerment, as well as social commentary by analysing the films English Vinglish (2012) and Mom (2017). The study explores the implications related to Sridevi's star persona as a cultural and ideological site for women's empowerment and social critique in contemporary Indian cinema. It applies a purposive sampling method, and utilises textual analysis to investigate performance style, narrative structures, visual framing and symbolic meaning signifying women's power and resilience. The textual analysis of English Vinglish finds empowerment framed through self-assertion and linguistic competence within familial and social spaces whereas in Mom empowerment emerges in the more ambiguous domain of maternal justice and moral authority. Taken collectively, these films showcase how Sridevi's stardom functioned as a cultural vehicle, entertaining audiences while provoking critical consideration of women's roles, autonomy, justice, and empowerment within contemporary Indian society. 2026, Iquz Galaxy Publisher. All rights reserved. -
Polyoxometalate/?-Fe2O3/polyaniline composite: Tailored approaches for high-performance supercapacitors
The need for portable, high-performance electronics that have high power or energy density has increased significantly in recent years. In this work, a composite material was coated on stainless steel that consists of polyoxometalate (POM)/?-Fe2O3/polyaniline (PANI) as an electrode material for a symmetric supercapacitor. ?-Fe2O3 was prepared using starch as a template while PANI was electrodeposited. The physical and chemical characteristics of the modified electrodes were investigated via Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy and electrochemical techniques such as cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and galvanostatic charge[sbnd]discharge (GCD) experiments. In 1 M H2SO4, the composite had a specific capacitance of 528 F/g at a current density of 0.2 A/g. In addition, the composite exhibited a high energy density of 73.4 Wh kg?1 at a high-power density of 7.14 kW kg?1 and 91.62 % capacity retention after 10 cycles. The results show that POM/?-Fe2O3/PANI is a promising composite electrode for use as a supercapacitor electrode material. 2024 The Authors -
Barriers hindering digital transformation in SMEs
The chapter aims to find interdependencies between barriers that hinder adoption of digital transformation technologies in small and medium firms. Barriers were identified using an extensive literature review and finalized after consulting an expert panel. Next, a pairwise questionnaire was developed, and responses from essential stakeholders working with small and medium firms were collected. Data were analyzed using the DEMATEL technique. Salient challenges for implementing digital transformation technologies were identified, and the cause-and-effect relationship between the barriers was established. Lack of proper digital vision and strategy was identified as the most critical barrier that hinders adoption of digital transformation technologies in small and medium firms. Digital technologies help to improve the efficiency of the firms and improve resource utilization by facilitating timely and accurate decision making. Hence, overcoming the identified challenges in transformation will improve the operations of the production system and organizational process. 2024, IGI Global. All rights reserved. -
Omnichannel supply chain in india: A study using sap-lap approach
Organizations are increasingly adding new service delivery channels to make their products and services readily available in such an environment. Omnichannel retailing will help organizations to provide better consumer service while making it easy for them to do business when appropriately implemented. By implementing omnichannel retailing, organizations will benefit from high operational efficiency, better financial performance, smoother communication, and a satisfied, loyal customer base. Therefore, this study tries to explore the current situation of the retail industry in India, the major actors or players of the business ecosystem, and processes adopted in organizations to provide products and services to their customers. The study will be qualitative in nature and is approached through an SAP (situation-actor-processes)-LAP (learnings-actions-performance) framework to synthesize learning from the current scenario to propose actions and set the performance measures. 2024, IGI Global. All rights reserved. -
Beyond Lexical Accuracy: AI's Catastrophic Loss of Political Blood in Translating Lorde's Revolutionary Vernacular
This chapter examines how generative AI systems (ChatGPT-4o, Gemini 2.5) process the revolutionary poetics of Audre Lorde, revealing systematic patterns of grammatical standardization, affective dilution, and political neutralization. Through comparative analysis of three poems (Power, A Litany for Survival, Who Said It Was Simple) under minimal and culturally contextual prompts, the study demonstrates AI's architectural inability to preserve African American Vernacular English (AAVE), embodied metaphor, or radical tonality. These distortions-rooted in training data biases and fluency optimization-constitute epistemic violence by sanitizing texts where form enacts resistance. Findings expose limitations in developer frameworks prioritizing "harmlessness" over linguistic justice. The chapter proposes pedagogical strategies for critical AI literacy and urges redesign of systems to honor marginalized epistemologies. Ultimately, it argues that tools shaped by dominant grammars cannot ethically translate insurgent voices. 2026, IGI Global Scientific Publishing. All rights reserved. -
Polyoxometalate/?-Fe2O3/polyaniline composite: Tailored approaches for high-performance supercapacitors
The need for portable, high-performance electronics that have high power or energy density has increased significantly in recent years. In this work, a composite material was coated on stainless steel that consists of polyoxometalate (POM)/?-Fe2O3/polyaniline (PANI) as an electrode material for a symmetric supercapacitor. ?-Fe2O3 was prepared using starch as a template while PANI was electrodeposited. The physical and chemical characteristics of the modified electrodes were investigated via Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy and electrochemical techniques such as cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and galvanostatic charge[sbnd]discharge (GCD) experiments. In 1 M H2SO4, the composite had a specific capacitance of 528 F/g at a current density of 0.2 A/g. In addition, the composite exhibited a high energy density of 73.4 Wh kg?1 at a high-power density of 7.14 kW kg?1 and 91.62 % capacity retention after 10 cycles. The results show that POM/?-Fe2O3/PANI is a promising composite electrode for use as a supercapacitor electrode material. 2024 The Authors