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Exploring the influence of Retail Value Chain Support Activities on Shoppers Behaviour: Ordered Probit Model Approach
The support activities that make up the retail value chain also play a role in defining the in-store experiences and their contentment of the customers. The underlying aim of this investigation is thus to explain the impact of core support functions, here firm infrastructure, human resource management, technology management as well as procurement practices in the customer satisfaction within formally-organised retail outlets. A total of 500 consumers visiting hypermarkets and department stores in Visakhapatnam were used to gather primary data through a structured questionnaire that used a five-point Likert scale. Empirical evidence shows that a few activities of the retail value-chain support have a tremendous impact on customer satisfaction, and such activities as technology-enabling services, efficient procurement practices and infrastructure-related service attributes are particularly significant. These findings support the argument that optimisations on the functional aspects in the value chain generate a measurable increase in consumer satisfaction and thereby serve to support the strategic relevance of support activities in the retail sector. This study enhances the existing body of literature on retail-management by integrating the value-chain perspective and consumer-behavioural analysis to provide relevant empirical support on the strategic contribution of support functions in creating shopper-satisfaction. 2026, PT Mattawang Mediatama Solution. All rights reserved. -
A Novel Georouting Potency based Optimum Spider Monkey Approach for Avoiding Congestion in Energy Efficient Mobile Ad-hoc Network
Mobile Ad-hoc Network (MANET) is one of the recent fields in wireless communication that involves a large number of wireless nodes, which could be changed arbitrarily with the ability to link or exit the system anytime. Nevertheless, network congestion and energy management is a major problem in MANET. Consequently, the infrastructure of a network changes frequently which results in data loss and communication overheads. Therefore, in this paper, a novel Georouting Potency based Optimum Spider Monkey algorithm has been proposed for energy management and network congestion. The proposed technique in MANET is implemented using Network Simulator2 platform and the proposed outcomes show that the node energy, overload, and delay are minimized by increasing the quantity of packets transmitted through the network. Moreover, the delay in routing overhead and congestion is decreased by the proposed protocol. Consequently, the energy management is enhanced based on constraints of delay, energy consumption, and routing overhead of the nodes. Thus the effectiveness of the proposed protocol is enhanced by selecting the optimal path within the network, decreasing the consumption of energy, and congestion avoidance. Sequentially, the performance of the proposed routing algorithm is compared to existing protocols in terms of end-to-end delay, throughput, Packet Delivery Ratio, energy consumption, etc. Thus the result shows that the lifetime of the nodes have been enhanced by a high 98% of throughput ratio, less 0.01% of energy consumption, and congestion avoidance using the proposed network. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Excitation mechanism of Oi lines in Herbig Ae/Be stars /
The Astrophysical Journal, Vol.857, Issue 1, pp. 1-9, ISSN No. 1538-4357. -
Building Trustworthy 6G Networks with Generative Adversarial Learning
The imminent dawn of sixth-generation (6G) networks promises a future of unparalleled connectivity and communication speeds. However, this technological leap necessitates robust security measures to counter increasingly sophisticated cyberthreats targeting the intricate 6G infrastructure. This chapter investigates the potential of Generative Adversarial Learning (GALs) as a transformative tool for building trustworthy 6G networks. With the advent of 6G networks on the horizon, ensuring trustworthiness in communication systems becomes paramount. This chapter proposes a novel approach leveraging GAL to fortify the security and reliability of 6G networks. In traditional network security paradigms, adversaries exploit vulnerabilities, necessitating constant reactive measures. However, the proactive nature of GANs enables the creation of realistic synthetic data to train robust Intrusion Detection Systems (IDS). By simulating diverse attack scenarios, a GAN-based IDS can identify and adapt to emerging threats, mitigating potential risks in real time. Moreover, GANs facilitate the generation of synthetic network traffic, enabling thorough testing of network defenses without risking actual data. Taking a proactive stance enables network operators to predict and preempt potential vulnerabilities before they are exploited. Our solution involves harnessing the power of Generative Adversarial Networks (GANs) to address 6G network security comprehensively. GANs create authentic network traffic, allowing IDS to be trained effectively in identifying and mitigating actual cyberthreats. Moreover, GANs can learn to discern typical network patterns, thus alerting to potential anomalies that may signify ongoing or imminent attacks. This proactive strategy empowers security teams to maintain an edge in navigating the constantly evolving cyberthreat landscape. 2026 selection and editorial matter, E. Chandra Blessie, Pethuru Raj, and B. Sundaravadivazhagan; individual chapters, the contributors. -
How much can we trust high-resolution spectroscopic stellar chemical abundances?
To study stellar populations, it is common to combine chemical abundances from different spectroscopic surveys/studies where different setups were used. These inhomogeneities can lead us to inaccurate scientific conclusions. In this work, we studied one aspect of the problem: When deriving chemical abundances from high-resolution stellar spectra, what differences originate from the use of different radiative transfer codes? 2016 Proceedings of the 12th Scientific Meeting of the Spanish Astronomical Society - Highlights of Spanish Astrophysics IX, SEA 2016. All rights reserved. -
Internet of Things Security and Privacy Issues in Healthcare Industry
The Internet of Things (IoT) is an imagines unavoidable, associated, and hubs connecting independently while offering a wide range of administrations. Wide conveyance, receptiveness and moderately high handling intensity of IoT objects made them a perfect focus for digital assaults. Additionally, the same number of IoT center points is assembling and taking care of private data, they are changing into a goldmine of information for malignant on-screen characters. Subsequently, security and particularly the capacity to recognize traded off hubs, together with gathering and safeguarding confirmations of an assault or malignant exercises develop as a need in effective arrangement of IoT systems. This paper is deal with some major security problems and challenging factors of IoT. This IoT security issues on really challenging factor in current world. 2019, Springer Nature Switzerland AG. -
Deployment of Smart Surveillance System using Deep Learning to Recognize Cyber-criminals
This paper presents the development of the smart surveillance systems critical in identifying cybercriminals through the use of deep learning.The system utilizes deep learning algorithms for the identification of cybercriminals in physical and cyberspace.The systems apply neural networks to analyze images,video streams and cyber behavior for pattern recognition of suspicious activities and potential threats.Also the system analyze the online activities of users and flow of data within the network for signs of cybercriminals. Various technologies such as convolutional neural networks (CNN), and recurrent neural networks (RNN) are used to distinguish facial features, body language, and unusual online activities. This way, effective security measures are taken to prevent or reduce the impact of cybercriminals in various environments by combining intelligent monitoring systems with future threat prediction. The system is capable of evolving by identifying new criminal patterns to enhance its performance. This means the system is modified and updated as it receives more data, making it effective in multivariate settings such as any institution with financial activities, government networks, and high-security locations. 2025 IEEE. -
Isolation, Screening and Characterisation of Endophytes from Madiwala Lake for Biosurfactant, Bioremediation and Plant-Growth Promotion Properties
The significant surge in population, combined with the degradation of the environment, has imposed substantial stress on worldwide food newlinesecurity. The concerning pace of population growth, along with escalating environmental harm due to heightened industrialization, newlinehas indeed exerted considerable pressure on the global food provision. Considering the existing situation, the sustainable approach to enhance agricultural yield and facilitate environmental bioremediation entails utilizing endophytes that reside within plants. Endophytic microorganisms possessing the capacity to promote plant growth and exert biocontrol can significantly boost plant development amidst fluctuating environmental factors, both biotic and abiotic in nature. The current research aimed to extract bacterial and fungal endophytes from Alternanthera philoxeroides and newlineAlternanthera paranichoides and evaluate their potential for enhancing plant growth and controlling pests. Among the isolated newlineendophytic bacteria, Klebsiella pneumoniae exhibited various characteristics conducive to plant growth, leading to enhanced newlinegermination and vegetative growth in Vigna unguiculata plants. The isolate exhibited good Indoleacetic acid (IAA) production newline(48.752.95 g/mL) and potassium solubilization (2.130.07 ppm). The IAA production by K. pneumoniae was further enhanced by 4- fold using the RSM optimization to 195.662.51 g/mL. The newlineendophytic bacteria Bacillus amyloliquefaciens and Bacillus subtilis newlineshowed good extracellular enzyme production and antimicrobial activity along with plant growth promotion. The endophytic bacterium B. amyloliquefaciens showed good newlinebiosurfactant production and bioremediation efficiency. The strain displayed notable resistance to Cr and Pb concentrations upto 2000 mg/L. It was found to possess maximum metal removal efficiency for Pb, 92.3% at pH 9 and 86.2 at 25 oC. -
Understanding Nonsense Verse : A Study of Select Works of Sukumar Ray
Among all the literary genres created and cultivated over the ages, Nonsense verse newlineperhaps emerges as one of the most challenging to comprehend. Nonsense verse often employs subversion (language, syntax, logic, etc.) as its tool and usually leaves the readers in a state of confusion. A look into the limericks of Edward Lear would bear newlinetestimony to this fact. For readers and researchers, the quest for meaning has newlineunravelled many literary and philosophical pursuits. One such possibility, therefore, newlinecould be the attempt to comprehend and critically analyse the unique literary genre newlinetermed Nonsense verse. From the multiple understandings and debatable definitions newlineof verse forms, one striking and rare genre evolves into nonsense poetry. Following newlinethe cue, this thesis purports to seek sense and meaning from what is labelled newline nonsense . It depicts that the functionality of existing, creative stylistics in language newlineand understanding and the text s contextual placement bring out the sense in nonsense. As Edward Lear mastered this art form in the West, Sukumar Ray crafted this genre in India, though he was not the only one. The thesis traces the evolution of nonsense verse in India, literary and folk, to understand the possible functionality of this genre as it exists in India. As the study shows, the writer who made the most contributions to this evolution was Sukumar Ray. Therefore, understanding the evolution and function of Indian nonsense verse become the object of the study, and an in-depth, contextual study of the select poems of Sukumar Ray, the national pioneering writer of nonsense, becomes the subject. This research attempts to unearth a fresh approach to re-evaluating the function of nonsense verse and possibly confer upon it a more considerable eminence. The thesis aims to provide comprehension and newlinecredibility to the genre through the study of select works of Sukumar Ray. -
Unlocking the future: A new era of artificial intelligence in efficiency, security, and intelligence with smarter systems
This chapter explores the transformative role of AI in reshaping critical domains such as health records, legal records, library and information management, and media services including communication, publishing, and broadcasting. This chapter examines AI applications inclusive of electronic health records optimization, predictive analytics, automated legal document review, personalized resource recommendation, and content generation in the media. It also addresses ethical concerns such as data privacy algorithmic bias and the implications of workforce transformation to real-world examples and case studies. This chapter highlights the current impact and future potential in streamlining operations, reducing human error, and improving outcomes. 2025, IGI Global Scientific Publishing. -
Vitaware-culs 2020 vitamin awareness kit /
Patent Number: 202041005122, Applicant: Erumalla Venkatanagaraju.
Vitamins are available in abundant quantities in all natural resources. Inadequate intake of vitamins lead to severe abnormalities. Because of the rapid civilization, limited land resources, busy lifestyle and limited awareness, attention on the natural vitamin resources wafted towards Nutraceuticals that are supplemented with synthetic vitamin sources and preservatives. In order to bring awareness about the availability of bioactivevitamins in natural food sources, the current design, VITAWARE-CULS 2020 Kitwas developed. -
Method of computer added progressive die design with energy conversation /
Patent Number: 201941037095, Applicant: Dr. Debabrata Samanta.
The present invention is related to a method of computer added progressive die design with energy conservation. The computer implemented method is presented including the simulation of requirements of design with bending the blank sheet metal strip used as a simulation, boundary conditions and applying the constraint nodes motion on the object. -
Integrated synchronous buck converter emulation and method of design thereof /
Patent Number: 201941035816, Applicant: Jayanta Biswas.
The present invention is related to the Buck converter output ripple voltage analysis field, more particularly, the present invention is related to integrated synchronous buck converter emulation and method of design thereof. A DC-DC synchronous buck converter is emulated on FPGA based on geometric model of average inductor current. -
Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /
Patent Number: 201941023480, Applicant: Dr. Sachi Nandan Mohanty.
The system for intelligent control of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzy logic control unit. The present system and method disclosed novel & efficient control techniques with using PSO algorithm and fuzzy logic techniques for DC motor control using a PID controller with solving problems of efficient control the prior arts. -
Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /
Patent Number: 201941023480, Applicant: Dr. Sachi Nandan Mohanty.
The present invention present an intelligent PSO based DC motor control System and method thereof. The system for intelligent control of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzy logic control unit. -
Impacts of imprisonment of women on the rights of their children: An Indian perspective /
International Journal of Advanced Research, Vol.3, Issue 10, pp.1297-1303, ISSN No: 2320-5407. -
A Hybrid Genetic Algorithm and Large Language Model Approach for Agricultural Products Price Optimization
This paper introduces a hybrid approach, based on Genetic Algorithm (GA) and Large Language Models (LLMs), namely Mixtral 8x7B, to optimize pricing strategies for agricultural products. The method processes real-time market data, using Machine Learning (ML) techniques to generate competitive and profitable price recommendations. GAs allow for adaptive optimization, while LLMs capture complex trends in the market, making this approach more precise with respect to the pricing strategy. Case studies related to onions and tomatoes illustrate the efficiency of the optimization process. The outcome shows that the optimized prices achieve a fitness score of 0.915 (onions) and a competitive index of 0.89 (onions) compared to the market averages. Compared to traditional methods, the proposed hybrid model provides a better approach towards decision making through multi-objective optimization and real-time data analysis. This research contributes to improved profitability for farmers by adopting sustainable pricing strategies and agricultural market efficiency. 2025 IEEE. -
Gendered Informality: An Assessment of Operational Attributes and Entrepreneurial Performance of Female-Owned Enterprises in Jharkhand
The present study utilises the National Sample Survey Organization (NSSO)s 73rd round unincorporated non-agricultural enterprise data to analyse diverse operational and economic attributes of female-owned enterprises and their influence on enterprise performance with regard to enterprises gross value added (GVA) in the state of Jharkhand. The study additionally endeavours to ascertain the correlation amidst the operational attributes and the type of enterprise owned (established or own account) in the state. From a methodological standpoint, the current inquiry incorporates exploratory and regression analysis to give a comprehensive understanding of female entrepreneurship in Jharkhand and its gender differentials. The study findings indicate that specific attributes such as enterprise registration, account maintenance, enterprise locating outside the household premises, expanding and perennial status have a positive association with the GVA of the female-owned enterprise. It further highlights that female entrepreneurs, especially from marginalised backgrounds, view entrepreneurship as a necessity rather than a choice. There exists a notable gender disparity, with majority of enterprises owned by females predominantly operating within residential premises. Moreover, female involvement in a well-established enterprise is substantially lower compared to male workers, thus indicating an inverse correlation between the nature of the enterprise and its employment framework. 2024 Institute of Rural Management, Anand, Gujarat, India. -
Understanding the Role of Antimicrobial Peptides in Neutrophil Extracellular Traps Promoting Autoimmune Disorders
AMPs are small oligopeptides acting as integral elements of the innate immune system and are of tremendous potential in the medical field owing to their antimicrobial and immunomodulatory activities. They offer a multitude of immunomodulatory properties such as immune cell differentiation, inflammatory responses, cytokine production, and chemoattraction. Aberrancy in neutrophil or epithelial cell-producing AMPs leads to inflammation culminating in various autoimmune responses. In this review, we have tried to explore the role of prominent mammalian AMPsdefensins and cathelicidins, as immune regulators with special emphasis on their role in neutrophil extracellular traps which promotes autoimmune disorders. When complexed with self-DNA or self-RNA, AMPs act as autoantigens which activate plasmacytoid dendritic cells and myeloid dendritic cells leading to the production of interferons and cytokines. These trigger a series of self-directed inflammatory reactions, leading to the emergence of diverse autoimmune disorders. Since AMPs show both anti- and pro-inflammatory abilities in different ADs, there is a dire need for a complete understanding of their role before developing AMP-based therapy for autoimmune disorders. 2023 by the authors. -
Fungal endophytic species Fusarium annulatum and Fusarium solani : Identification, molecular characterization, and study of plant growth promotion properties
Research on endophytic fungi has gained significant interest due to their potential to enhance plant growth directly by producing phytohormones, solubilizing macronutrients, fixing nitrogen, or indirectly inhibiting phytopathogens growth by producing ammonia, siderophore, hydrogen cyanide, or extracellular enzymes, thereby acting as biocontrol agents. The present study aimed to isolate fungal endophytes from Alternanthera philoxeroides and evaluate their plant growth promotion and antimicrobial activity. In total, nine fungal endophytic strains were isolated from different parts of A. philoxeroides such as leaves, roots, and stems. The results demonstrate that the strains MEFAphS1 and MEFAphR3 exhibited positive plant growth promotion properties, including phosphate solubilization, and IAA (Indoleacetic acid) production, and ammonia production. The IAA production was highest for MEFAphS1, with a concentration of 46.6351.04 g/mL, while MEFAphR3 displayed the highest ammonia production (0.9030.01 g/ mL). The phosphate solubilization index (PSI) is the maximum for MEFAphS1 (1.50.10). MEFAphS1 also exhibited antibacterial activity against Vibrio vulnificus, Streptococcus pneumoniae, and V. parahaemolyticus, with the most substantial inhibition zone observed against V. vulnificus (281 mm). In contrast, MEFAphR3 showed an inhibition zone of 81.53 mm against V. parahaemolyticus. Molecular identification revealed the identity of the isolates MEFAphS1 and MEFAphR3 as Fusarium solani and F. annulatum. These results thus confirm the possible applications of the fungal endophytes as plant biofertilizers and bio-enhancers to increase crop productivity. Copyright: The Author(s).






