Browse Items (16481 total)
Sort by:
-
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. -
-
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 -
Impact of dynamic pricing and driver behavior on service quality in ride-hailing operations: a study of Bangalores urban dynamics
Purpose The study evaluates the influence of the dynamic pricing factors, price transparency, seasonality and driver behavior on the ride-hailing services perceived quality. While many technological changes are detected in the service, dissatisfaction continues to persist between customers about prices surging higher and dangerous practices of driving in the service. Design/methodology/approach In the context of an urban area such as Bangalore, service quality and customer satisfaction are mostly a result of dynamic pricing and driver behavior. In order to better understand the associations in these relations, the study utilizes PLS-SEM in quantitative. Findings The study identifies the user-ride-hailing survey key service quality drivers reliability, comfort, responsiveness and safety. Although the results indicate that dynamic pricing can successfully manage demand, this is contingent on whether it is implemented in a transparent manner and with a sense of equity perceived by customers. Driver professionalism is the important variable that strengthens or weakens the effect of pricing policies on customer satisfaction. Research limitations/implications This study contributes to the expanding body of knowledge on urban mobility and provides actionable insights for improving ride-hailing operations in developing economies. Practical implications Implications to industrial stakeholders entail reorienting in driver training and refining algorithms and strategies about dynamic pricing that boost customer trust and loyalty. Originality/value This is one of the few studies that explore the dynamics of urban mobility from developing countries perspective like India. 2025 Emerald Publishing Limited -
Adoption barriers of blockchain technology in Indian automotive supply chain: an MCDM approach
The Indian automobile industry faces intense competition from international firms, making technological upgrades essential. Blockchain, known for powering cryptocurrencies, offers a transparent, immutable, and decentralised database beneficial for supply chains. Despite its potential and widespread use in other sectors, the Indian automobile industry has been slow to adopt it. This paper examines the barriers to blockchain adoption in this sector using Delphi and DEMATEL techniques. The study reveals that trust-building among partners and collaboration challenges due to blockchains complexity are the primary obstacles hindering adoption. These barriers make it difficult for firms to decide on implementing blockchain technology in their supply chains, with other obstacles being secondary but interconnected. Overcoming these obstacles requires transforming company cultures, establishing efficient governance systems, and ensuring transparent data disclosure. Governments can support this by stimulating innovation through legislation and creating blockchain sandboxes for safe testing, helping to develop standards with organisations like ISO and IEEE. 2025 Inderscience Publishers. All rights reserved. -
Competitive and contagion effect of initial public offerings in India: An empirical study
This study aims to empirically examine the impact of initial public offerings (IPOs) on the equity share prices of industry rivals. The cross-industry sample comprises 13 companies across six different industries in the Indian market. The study investigates four key variables: the stock returns of industry rivals before and after the IPO of a new market entrant, as well as the daily traded volume of both the market entrant and industry rivals in the days following the IPO. The analysis reveals a significant association between the stock prices of industry rivals before and after the listing date of a market entrant, as evidenced by the adoption of three distinct time windows. However, no significant relationship is observed between the daily traded volume of market entrants and industry rivals. The results reveal the presence of the competitive and contagion effect and the lack of active capitalisation of this short-term phenomenon by investors. 2023 The Author -
A Study on Crude Oil Price Forecasting Using RNN Model
Crude oil forecasting plays an important role in every countrys economic progress. Inflation is likely to rise as oil prices rise, delaying economic progress. In terms of inflation, oil prices directly affect the expense of commodities produced using petroleum products. Not only crude, this paper provides the idea of best prediction models that could be used for easy prediction in stocks. It provides an overview of the data and methodology. As a result, we have compiled a list of articles that discuss the impact of crude oil on various stock markets and how it affects different countries. And in general, we were looking for the optimal price prediction model between gated recurrent units (GRUs) and long short-term memory (LSTM). 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.