Browse Items (16481 total)
Sort by:
-
Application of Artificial Intelligence for Enhancement of Privacy and Security in Smart Environment
With the advancement of urbanization, city public privacy and security are growing increasingly crucial. City public privacy and security is not just the basis of environmental growth, but also the primary assurance for the long-term security of inhabitants existence. The idea of a smart environment is continually being explored in the present-day artificial intelligence (AI) setting. Urban public privacy and security have also introduced novel issues and difficulties. To objective of this paper is to employ AI innovation to create an effective public privacy and security data resources management platform in a smart environment. One of the main objectives of the study of AI was to allow systems to execute complicated activities that would ordinarily need human intellect. In this paper, the neural network (NN) data processing technique was used. As indication statistics, variables impacting urban public privacy and security were evaluated. The feed forward back-propagation NN (BPNN) was utilized in this study to anticipate indices statistics in real-time, which enabled the administration tasks of risk surveillance and initial alert of public privacy and security data indications to be accomplished. The outcomes indicated that the BPNN method had a mean prediction performance of roughly 89% for indication prediction, which was 16.1% points greater than the conventional NN method. The BPNN methods mean hazard alert accuracy pace was 90.3%, which was 16.5% greater than that of the typical NN method. This demonstrates that the BPNN method used in this study, which employs AI innovation, can perform advanced alerting of threats and administration of urban public privacy and security more effectively and precisely. 2025 Apple Academic Press, Inc. -
Does salesperson-brand personality congruence impact perceived service quality of the salesperson? A study of small retailers in emerging markets
Purpose: Based on the theoretical lenses of social identity theory (SIT), this research study analyses the dyadic relationship of congruence between salesperson and brand personality. By exploring the salesperson-brand personality congruence, this study proposes to measure the impact of this congruence on the retailers perception of salespersons perceived service quality performance (SalesPerf). Design/methodology/approach: The study is structured around collecting data from small retailers through an offline survey. In this study, linear associations between the various elements of the theoretical model are determined using covariance-based Structural Equation Modeling (CB-SEM). Findings: The analysis of results suggest that a retailer's perception of the salesperson's brand personality congruence positively influences the salesperson's perceived service quality. However, the retailer's satisfaction with the brand does not moderate the relationship between the retailer's perception of the salesperson's brand personality congruence and the salesperson's perceived service quality. Originality/value: This research fills the void in contemporary research by adopting a novel strategy to examine the perception of retailers toward the dyadic relationship between salesperson-brand congruence (SBPC) and salesperson's perceived service quality (PSQ). The study further enriches the existing literature by measuring the moderating role of retailer's satisfaction with the brand (SAT) on the retailer's perception of the salesperson's brand congruence (SBPC) and salesperson's perceived service quality (PSQ). 2025, Emerald Publishing Limited. -
Flowing Blood Analysis & Separation: Integrating Raman Spectroscopy & Acoustophoresis in a Microfluidic System
The proposed system combines Raman Spectroscopy and Acoustophoresis in a microfluidic environment to provide label-free analysis and separation of the cells present in the blood, including red blood cells, white blood cells and platelets. Based on the Raman Effect, Raman Spectroscopy captures crucial information about the structural and vibrational traits of the blood sample, exposing the molecules to monochromatic radiation and recording their Raman shift. This data is processed using LSTM recurrent neural networks, creating a deep-learning framework for species identification and quantification. The model can forecast the cell population in the blood sample and obtain information on the size and compressibility of individual cells due to the microfluidic nature of the data received by the Raman Spectroscope. Raman spectra allow estimation of the cell size and compressibility, guiding cell separation using acoustophoresis and allowing adjustments of the acoustic wave frequency based on the estimated size and compressibility of the cells. The targeted cells are directed toward a designated collection chamber within the microfluidic system by dynamically adjusting the acoustic wave frequency. Repeated application allows complete separation of the cells and pressure-driven delivery of the targeted cells to their respective collection reservoirs. 2025 IEEE. -
A Family of Mexican Hat Wavelet Stieltjes Transform for Unbounded Non-decreasing Functions
In the present article, we examine the characteristics of the Mexican hat wavelet Stieltjes transform (MHWST) for a specific set of functions belonging to one of the sub-class of bounded variation functions. The subset comprises functions that are unbounded and non-decreasing. Further, a unified approach is applied to establish a uniqueness theorem and subsequently derive a representation theorem for the MHWST. The Author(s), under exclusive licence to The National Academy of Sciences, India 2024. -
Integral Transforms andGeneralized Quotient Space ontheTorus
In this chapter, we discuss one of the recent generalization of Schwartz distributions that has significantly influenced the expansion of various mathematical disciplines. Here, we study the space of generalized quotient on the torus. Different integral transforms are investigated on the space of generalized quotients on the torus BS?(Td). The space BS?(Td) is made of both distributions as well as space of hyperfunctions on the torus. Further, by introducing the relation between the Fourier and other integral transforms, the conditional theorems are proved for generalized quotients on tours. Moreover, we study the convergence structure of delta-convergence on the generalized quotient space, and an inversion theorem is proved. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Impact of helpful reviews on customer purchase intention with special reference to mobile phone reviews
Technological advances in the digital space have provided renewed impetus to businesses. Costly, labor-intensive marketing campaigns have been replaced by digital marketing. However, along with benefits, the increasing sophistication and exponential growth of e-commerce businesses have also introduced new challenges. The large number of similar product offerings and the high volume of reviews have created a technology-induced hurdle for consumers that can impair their thought processes. Often, users will only scan the top few reviews to arrive at a decision. In the current setup, older reviews that accumulate votes over time are found at the top of the helpful review list, in contrast to fresh entrants. The current study proposes placing reviews in appropriate positions in the helpful review list using statistical and scientifically derived helpfulness scores. The study utilized a sample of consumer goods (specifically, mobile phones) and re-ranked reviews based on their expected score. Amazon.in provided the initial review dataset. Random Forest and gradient-boosting regression techniques were used to predict review helpfulness. An Elaboration Likelihood Model was used to explore the impact of central and peripheral cues on review helpfulness. The gradient-boosting regression was the best-performing method of predicting review helpfulness, and the reviews were re-ranked. The re-ranked reviews were tested for helpfulness vis-a-vis the initial ranking of reviews using the survey method. The result indicated that the proposed re-ranking of reviews was more helpful to end users and helped mitigate uncertainty in decisions. The study utilized the Information Acceptance Model to assess the influence of electronic word of mouth on purchase intention. 2023 Conscientia Beam. All Rights Reserved. -
A Meta-Analysis on the Determinants of Online Product Reviews with Moderating Effect of Product Type
The technological advances in digital space have provided a renewed impetus for business to expand their footprint across digital modes. The growth of the internet and the ease of its access to the masses has encouraged many businesses to go online. Online e-commerce platforms make it easy to search, locate and place orders. Technology-assisted supply chains and fast delivery mechanisms ensure that users don't have to go elsewhere to fulfill their needs. To earn loyalty and customer satisfaction, e-commerce platforms have evolved into a sophisticated recommender system. It has evolved from just an informational source to a participative mode where users can share their experiences about their purchases. Customer values other user experiences more than the information provided by the seller. The presence of many conflicting and contradicting reviews can make the task of making rational decisions difficult for many users. Many studies were performed to understand what constitutes a review helpful and came up with different or mixed outcomes. The present study reviews the factors that influence online customer reviews helpful. Meta-analysis was performed to reconcile the mixed findings of different factors of online review helpfulness. The meta-analysis found that with the moderating effect of product type, factors like review length, readability, rating, reputation, and expertise positively correlate with helpfulness. Further, the customer finds moderate reviews more helpful in terms of polarity. Meta-analysis has a mix of findings for the selected data points in the study. The mixed findings include product type (search, experience, or other) and helpfulness measurement criteria. 2022 Kavita Rawat and Sunita Kumar. This is an open access article licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. -
-
Quantum Computing: Navigating The Technological Landscape for Future Advancements
Quantum Computing represents a transformative paradigm in information processing, leveraging principles of quantum mechanics to enable computations that transcend the limitations of classical computing. This research paper explores the cutting-edge technologies employed in Quantum Computing, examining the key components that facilitate quantum information processing.The purpose of this study is to provide a comprehensive exploration of the state-of-the-art technologies in Quantum Computing, laying the groundwork for future advancements and applications in this rapidly evolving field.The methodology employed in this study integrates three analytical approaches: sentiment analysis, topic modeling, and thematic analysis. Sentiment analysis is utilized to discern and quantify emotional tones within the content. Topic modeling is applied to identify latent themes and patterns within the data, revealing underlying structures. Thematic analysis, on the other hand, involves a systematic identification and exploration of recurrent themes to provide a nuanced understanding of the subject matter. This tripartite methodology ensures a comprehensive examination of the data, facilitating a robust and multifaceted analysis of quantum computing technologies. 2024 IEEE. -
Abelian-Type Results for the Mexican Hat Wavelet Transform of Compactly Supported Distributions
In this paper, we introduce a distribution space that extends the framework of the Abelian theorems to the Mexican hat wavelet transform (MHWT) of distributions. We establish two Abelian theorems for the MHWT applied to compactly supported distributions and for locally integrable functions, providing new insights into their asymptotic behavior. 2025 John Wiley & Sons Ltd. -
A Family of Mexican Hat Wavelet Stieltjes Transform for Unbounded Non-decreasing Functions
In the present article, we examine the characteristics of the Mexican hat wavelet Stieltjes transform (MHWST) for a specific set of functions belonging to one of the sub-class of bounded variation functions. The subset comprises functions that are unbounded and non-decreasing. Further, a unified approach is applied to establish a uniqueness theorem and subsequently derive a representation theorem for the MHWST. The Author(s), under exclusive licence to The National Academy of Sciences, India 2024. -
A study on the coverage of Bhil community in mass media /
Bhils, India's second biggest tribal group, live in Madhya Pradesh, Gujarat, Rajasthan and Maharashtra. Bhils are popularly known as the bow men of Rajasthan. They are the most widely scattered tribal groups in India. They form the largest tribe of the whole South Asia. This Dissertation paper “A study on the coverage of Bhil Community in Mass Media” aims to study the Mass Media coverage of Bhil community with special reference to Print Media. -
Exploring Determinants of User Generated Context : A Consumer Behaviour Perspective
The advances in digital technology and the Internet have accelerated the growth of the online ecosystem. The ease of access to the Internet by the masses has ensured phenomenal expansion among online users. The past decade newlinewitnessed tremendous growth of online applications, platforms and apps that are newlinehelping to solve complex human needs. The online ecosystem itself witnessed newlinetremendous change, while static information sources have been replaced with dynamic ones that allow online users to participate in the system. The vast information society has transformed from being just the consumer of information to the participant in the generation of the information source. Business finds the exponential growth of online users and their active participation as an opportunity. Business benefits by sensing the market trends quickly in a better newlineway and take timely remedial actions. newlineDespite immense benefits offered by the online mode of business, many challenges have surfaced in recent times on account of ever-increasing technological sophistication and exponential growth of unique and similar newlineproduct offerings and associated reviews. The presence of many similar product offerings and associated reviews creates a technology-induced hurdle, with the potential to impair the rational thought process of consumers, who often search, scan and vote for only the top few reviews of selected products. This has the potential to make aged reviews continuously accumulate votes over time and newlineretain their near top position in the helpful review list, compared to recent quality newlinereviews. The current study applies statistically and scientifically derived newlinehelpfulness scores for ranking reviews and placing them at their appropriate positions. The study derived helpfulness scores enable re-ranking reviews of consumer products. The initial review dataset is constructed from publicly available reviews in Amazon.in. -
RESPONSIBLE AI-READINESS IN HIGHER EDUCATION: VALIDATING A DUAL-MODEL FRAMEWORK FOR FACULTY DEVELOPMENT
Aim/Purpose This study validates a responsible artificial intelligence (AI) framework designed to strengthen AI-readiness among higher education faculty in India. Background With the increasing use of AI in education, faculty require structured support; however, faculty development models for responsible AI integration remain limited. Methodology A mixed-methods pilot study with ten humanities and performing arts faculty used a dual-model evaluation approach. Three sessions from the framework were implemented, and data were collected through knowledge-attitude-practice (KAP) surveys, cognitive-affective-psychomotor (CAP) performance rubrics, and reflective responses. Contribution This study validates a dual-model framework for faculty development regarding responsible AI readiness. Findings The adapted KAP survey demonstrated strong reliability, with higher AI knowledge associated with more positive attitudes. However, knowledge did not consistently translate into practice, highlighting the need for structured hands-on learning. CAP-based performance assessments and reflections indicated improved ethical awareness, critical engagement, and foundational AI-integration skills. Recommendations for Practitioners Institutions should embed structured AI-training for faculty, with authentic instructional tasks. Recommendations for Researchers Future research should test this approach across larger and more diverse institutional contexts. Impact on Society Developing AI-ready faculty can foster ethical and future-focused learning environments. Future Research Future studies should expand across disciplines and examine longer-term outcomes. (2025), (Informing Science Institute). All rights reserved. -
The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations
The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has parallelly emerged as a by-product, posing significant concerns. While some recent endeavors have been made to identify and mitigate different types of hallucination, there has been a limited emphasis on the nuanced categorization of hallucination and associated mitigation methods. To address this gap, we offer a fine-grained discourse on profiling hallucination based on its degree, orientation, and category, along with offering strategies for alleviation. As such, we define two overarching orientations of hallucination: (i) factual mirage (FM) and (ii) silver lining (SL). To provide a more comprehensive understanding, both orientations are further sub-categorized into intrinsic and extrinsic, with three degrees of severity - (i) mild, (ii) moderate, and (iii) alarming. We also meticulously categorize hallucination into six types: (i) acronym ambiguity, (ii) numeric nuisance, (iii) generated golem, (iv) virtual voice, (v) geographic erratum, and (vi) time wrap. Furthermore, we curate HallucInation eLiciTation (), a publicly available dataset comprising of 75,000 samples generated using 15 contemporary LLMs along with human annotations for the aforementioned categories. Finally, to establish a method for quantifying and to offer a comparative spectrum that allows us to evaluate and rank LLMs based on their vulnerability to producing hallucinations, we propose Hallucination Vulnerability Index (HVI). Amidst the extensive deliberations on policy-making for regulating AI development, it is of utmost importance to assess and measure which LLM is more vulnerable towards hallucination. We firmly believe that HVI holds significant value as a tool for the wider NLP community, with the potential to serve as a rubric in AI-related policy-making. In conclusion, we propose two solution strategies for mitigating hallucinations. 2023 Association for Computational Linguistics. -
Fragile pillars of food security: exploring the challenges of availability, accessibility, and quality for global food regime; [Pilares freis da seguran alimentar: explorao dos desafios de disponibilidade, acessibilidade e qualidade para o regime alimentar global]
Hunger is a critical issue impacting a greater part of the world. Food distribution systems are failing millions of people, thereby leading to the crisis of food security. Various international declarations, like the UDHR and the ICESCR, have designated food and basic nutrition as integral elements of human rights. Therefore, provision for adequate and affordable food to all has become the dominant value for relevant regulatory and policy regimes. The problem is particularly sensitive to war-like events as is revealed by troubling statistics emerging against the backdrop of Covid-19, Russia-Ukraine War, and Israel-Hamas crisis. All these recent events have increased global food security concerns. This paper evaluates the fragile nature of food security in its multidisciplinary dimension. The methodology undertaken is a combination of quantitative and qualitative analytical mechanisms to explore the multidimensional issues of food insecurity. A systematic approach has been taken to identify food availability, food accessibility, food utilization, and environmental vulnerability as the intrinsic obstacles to any regulatory intervention. In this context, the paper analyses challenges to food accessibility as the core problem of right to food and food sovereignty regimes. It signifies the connection between the structural notion of accessibility and the legal concept of right to food through food sovereignty. It analyses the causal linkages between the problem of food security and other fundamental policy challenges, like poverty, unemployment, and social inequality. The international nature of the crisis is also manifested in the classic developed-developing nations divide. It, consequently, highlights the structural inefficiencies of the powerful international bodies, like the WTO, the World Bank, and the IMF. The comprehensive nature of the problem is explored through the idea of food sovereignty, which signifies the cultural sensitivity of food and nutrition. Food insecurity is not merely a productivity problem. The paper, therefore, suggests a consumer-centric model of food distribution and accessibility as an optimal and practical model for public policy and regulations. 2024 Centro Universitario de Brasilia. All rights reserved. -
Exploring the various methodologies of auditing the variables in a food supply chain and suggesting integrated audit framework
In recent years, the food supply chain has faced huge uncertainties, which has led to increasing interest in effective supply chain management in the industry. By considering the five key system inputs (purchasing, receiving, storing, processing, distributing) that are indispensable in the supply chain, the company can first take action to stabilize the supply chain performance, and secondly to improve its effectiveness by reducing uncertainty in the supply chain and operational capabilities. This paper outlines the key drivers and uncertainties in the food supply chain and describes a structured supply chain audit that can be used to measure the effectiveness of the supply chain. The purpose of this paper is to study the existing audit framework and regulations for food safety in the food supply chain and examine the flaws in the existing framework and build a consolidated single framework that incorporates the best practices and fills the gap of the existing audit frameworks for food security. 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Intellectual property rights vis-a-vis food security: A critical analysis
The Right to Food is undoubtedly a human right since it is one of the basic necessities without which it is impossible to sustain life. Food Security refers to the availability as well as accessibility to sufficient and quality food by all individuals. However, there persists a problem of food insecurity which is a major problem especially in the underdeveloped and, to a considerable extent, the developing countries. At an individual level, food security is limited to one's access to food but on a broader sense food security cannot be isolated from agricultural policies, crop technologies, economic and trade conditions. The intersection of crop technologies with economic factors is what links food security with Intellectual Property Rights (IPR). Over the recent past, IPR has gained immense importance in a number of fields including agriculture. It provides the incentive for the private sector development in advancement of plant science and crop technologies which helps in ensuring food security in the long term. This study aims at discussing the issues of food security with a specific focus on the developing nations, IPR regime, and its introduction into the agriculture sector. It intends to explore the connections and linkages between IPR and food security, especially how intellectual property can act as a medium to cover the path toward achieving global food security. The author aims to put forth the ability of IPR as a means to achieve food security by incentivising human creativity through a detailed study from an international as well as region-specific perspective. 2023 Apple Academic Press, Inc. All rights reserved. -
Exploring White Knight Syndrome in an Indian Setting: A Grounded Theory Approach
White knights are individuals who enter into romantic relationships with damaged and vulnerable partners, hoping that love will transform their partners behaviour or life. Existing literature on white knight is limited to a handful of studies, primarily based on Western population. The present research aimed at developing a substantive theory on white knight syndrome in an Indian setting. The study follows a qualitative paradigm and the research design is grounded theory approach to be specific. Participants for the study were screened using Lamias white knight checklist. Data has been collected from eighteen young adults aged 1825years through semi-structured interviews. The data was analyzed using Strauss and Corbin grounded theory analysis. The study identified six phasespre-relationship phase, needs exploration phase, shining white knight phase, drained white knight phase, golden realization phase, and finally delayed breakup. Along with the phases, the study identified factors, characteristics, and types of white knight. The study has implications in the clinical and counselling field in identifying and understanding white knight tendencies. Additionally, the theory is applicable in the Indian setting highlighting the intricate interaction between culture, norms, roles, and the recent social factors. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
Hubble Space Telescope Captures UGC 12591: Bulge/disc properties, star formation and 'missing baryons' census in a very massive and fast-spinning hybrid galaxy
We present Hubble Space Telescope ( HST ) observations of the nearby, massive, highly rotating hybrid galaxy UGC 12591, along with observations in the UV to FIR bands. HST data in V , I , and H bands is used to disentangle the structural components. Surface photometry shows a dominance of the bulge o v er the disc with an H-band B / D ratio of 69 per cent . The spectral energy distribution (SED) fitting reveals an extremely low global star formation rate (SFR) of 0 . 1-0 . 2 M yr-1 , exceptionally low for the galaxy's huge stellar mass of 1 . 6 0 11 M, implying a strong quenching of its SFR with a star formation efficiency of 3-5 per cent. For at least the past 10 8 yr, the galaxy has remained in a quiescent state as a sterile, 'red and dead' galaxy. UGC 12591 hosts a supermassive black hole (SMBH) of 6 . 18 0 8 M, which is possibly quiescent at present, i.e. we neither see large (1kpc) radio jets nor the SMBH contributing significantly to the mid-IR SED, ruling out strong radiative feedback of AGN. We obtained a detailed census of all observable baryons with a total mass of 6 . 46 0 11 M within the virial radius, amounting to a baryonic deficiency of 85 per cent relative to the cosmological mean. Only a small fraction of these baryons reside in a warm/hot circumgalactic X-ray halo, while the majority are still unobservable. We discussed various astrophysical scenarios to explain its unusual properties. Our work is a major step forward in understanding the assembly history of such e xtremely massiv e, isolated galaxies. 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.