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Women influencers in e-commerce: Shaping the future for high-end products
Industry 5.0 represents a transformative shift in industrial practices, merging advanced technologies with human-centered approaches. This evolution emphasizes personalization, ethical considerations, and enhanced consumer experiences in e-commerce. Social media platforms, such as Instagram, TikTok, and Facebook, have revolutionized brand engagement by enabling targeted advertising, community building, and real-time interaction. Women influencers play a crucial role in this new landscape, using their personal brands to drive consumer trust and loyalty. They create authentic content and promote diverse, inclusive narratives. As e-commerce adapts to Industry 5.0, integrating technological advancements with a focus on human values and ethical practices becomes essential for business success and consumer satisfaction. 2025, IGI Global Scientific Publishing. All rights reserved. -
Hierarchically porous RhB-encapsulated ZIF-7 as a dual-emission fluorescence probe for ultrasensitive detection of melamine in infant formulations
Melamine is an unauthorized food additive and a highly concerning adulterant in foods that can occur either accidently or intentionally in dairy products, with potential health risks upon exposure to higher concentrations. An ultrasensitive fluorescent probe based on dual emissive RhBx@ZIF-7 was developed to detect melamine. In this study, a fluorescent dye, Rhodamine B (RhB), was successfully encapsulated into the metal-organic framework (MOF) pores of ZIF-7 to form a fluorescent probe (RhB30@ZIF-7), with dual emission properties to enable the detection of melamine at low concentrations. RhB30@ZIF-7 was optimized by varying experimental parameters, including temperature (25 C), pH (7.0), incubation time (10 min), and probe concentration (1 mg mL?1), to enhance its sensitivity and selectivity. The observed fluorescent quenching towards melamine was primarily attributed to the mechanisms of the internal filtering effect (IFE), due to absorption of the excitation wavelength by melamine, causing a turn-off response in the system. The limit of detection (LOD) and limit of quantification (LOQ) were found to be 0.47 ?M and 1.4 ?M, respectively, with an R2 of 0.99. This study reveals the previously unexplored enhanced fluorescence of RhB30@ZIF-7 and elucidates the contribution of the intermolecular interaction between RhB and ZIF-7 to fluorescence sensing, paving the way for food safety monitoring. 2025 RSC. -
K shell X-ray intensity ratios, K-Li, K-L, and K-M vacancy transfer probabilities of Ba and Tl following internal conversion process
K shell X-rays of barium and thallium following internal conversion decay in Cs137 and Hg203, respectively, were detected using a Si(Li) X-ray detector coupled to PC-based 8k multichannel analyser employing the method suggested earlier by our group. The K shell X-ray intensity ratios and vacancy transfer probabilities for thallium and barium were calculated. The obtained results are compared with theoretical, semiempirical, and others' experimental results obtained via photoionization as well as decay processes. The effects of beta decay and internal conversion on X-ray emission probabilities are discussed. 2014 Published by NRC Research Press. -
Indian Stock Market Prediction Using Neural Networks: A Comparative Analysis
Predicting stock prices remains a challenging problem due to the highly dynamic and nonlinear nature of financial markets. Traditional statistical models like ARIMA and GARCH often fail to capture the complexities inherent in stock market data. This paper investigates the use of deep learning techniques, focusing on Convolutional Neural Networks (CNNs) and a hybrid CNN-LSTM ensemble model for stock price prediction in the Indian stock market. The CNN model efficiently extracts temporal patterns from sequential data, while the CNN-LSTM ensemble leverages temporal dependencies for improved long-term prediction accuracy. Historical data from Tata motors, spanning over two decades, was used to train and evaluate the models. Experimental results highlight the CNN-LSTM ensemble's superior performance in capturing volatile trends and long-term dependencies, with a notable decrease in test loss compared to standalone CNN. This study underscores the effectiveness of hybrid deep learning architectures in enhancing prediction reliability, paving the way for more adaptive and robust financial forecasting systems. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Internet of Things and Cloud Computing Involvement Microsoft Azure Platform
The rapid advancement of cloud technology has resulted in the emergence of many cloud service providers. Microsoft Azure is one among them to provide a flexible cloud computing platform that can scale business to exceptional heights. It offers extensive cloud services and is compatible with a wide range of developer tools, databases, and operating systems. In this paper, a detailed analysis of Microsoft Azure in the cloud computing era is performed. For this reason, the three significant Azure services, namely, the Azure AI (Artificial Intelligence) and Machine Learning (ML) Service, Azure Analytics Service and Internet of Things (Io T) are investigated. The paper briefs on the Azure Cognitive Search and Face Service under AI and ML service and explores this service's architecture and security measures. The proposed study also surveys the Data Lake and Data factory Services under Azure Analytics Service. Subsequently, an overview of Azure Io Tservice, mainly Io THub and Io TCentral, is discussed. Along with Microsoft Azure, other providers in the market are Google Compute Engine and Amazon Web Service. The paper compares and contrasts each cloud service provider based on their computing capability. 2022 IEEE. -
Adoption of digital technologies in the procurement process to improve supplier lead time
Supply chain is a complicated process involving a number of stakeholders. A proper integration of all the stakeholders helps to improve the efficiency of the system in terms of time, money and effort. Adoption of digital technology has been a hindrance in many industries, thereby affecting their business processes. The study aims to throw light on the adoption of digital technologies in procurement process to improve supplier lead time in the automotive industry. An observational study was conducted in a major automotive supply chain company in South India. Researchers tried to identify the possible contributing factors to improve supplier lead time and derive the root cause of the issue. A framework for an advanced shipping notice portal was created which can help both the supplier and recipient. Digital technology adoption can increase supply chain efficiency, decrease manual error rates, and streamline communication. Additionally, the portal can serve as a centralized hub for data sharing, promoting improved teamwork and real-time information sharing. 2024 by IGI Global. -
Life Cycle Assessment of Battery Energy Storage Technologies for Vehicular Applications
The necessity of sustainable energy sources and storage technologies is emerging due to growing energy demands. Thus, it encourages the need to perform sustainability analysis in terms of energy efficiency. For battery technologies, energy production and recycling holds a significance. In this study, the direct and indirect requirements of various battery technologies including production to transportation. The five battery technologies taken into account for the analysis are Lithium ion, Nickel Metal Hydride, Lead acid, Valve Regulated lead Acid, and Nickel Cadmium. The characteristics analyzed here are cycle life, energy density and energy efficiency. The study also covers the life cycle assessment in an structured way from raw to evaluation of materials, energy flow, installation, usage to end of life. The Authors, published by EDP Sciences, 2024. -
NEUROSYMBOLIC AI FOR CONTEXT-AWARE RESOURCE MANAGEMENT IN 5G SMART HEALTHCARE NETWORKS
Context-aware resource management in 5G Utilising neurosymbolic AI has growing impacts in the next-generation healthcare systems as smart healthcare networks to overcome the crucial issues of optimal service delivery and dynamic resource allocation. The 5G technology is adopted in healthcare networks for real-time processing, low latency, and high reliability that supports a vital application as telemedicine and remote patient monitoring. The resource management process of existing model rapidly fails in complicated, context-dependent situation with dynamic demands. To overcome these limitations, we proposed improved framework that combines a deep learning (DL) models for context extraction and symbolic reasoning process for decision-making. To determine the contextual patterns, the DL component analyses the multi-source data, as patient vitals, network conditions, and device status by utilising Transformer and Graph Neural Networks (GNNs). These data fed into symbolic reasoning module employ a knowledge graph and a rule-based system to dynamically allocate and distribute the resources based on the predetermined healthcare policies and requirements. Experimental results of this study showcase the improvements by attaining a reduction in latency, enhances in resource utilisation efficiency, and improved Quality of Service (QoS) for essential healthcare applications. In 5G-enabled smart healthcare systems, the results ensure a proposed model potential to transforms a resource management and ensure context-aware, versatile, and dependable service delivery for enhanced patient outcomes. 2025, Scibulcom Ltd.. All rights reserved. -
Role of psychological well-being, quality of life and distress tolerance in caregivers of geriatric population: an Indian exploratory study
Purpose: This study aims to gain an understanding of how caring for an ageing population affects caregivers psychological well-being, quality of life and ability to tolerate distress. This study provides valuable insights into the challenges faced by family caregivers and underscores the critical need for comprehensive support systems. Design/methodology/approach: A correlational method and cross-sectional research design was used for the study. For this, a sample of 200 caregivers in the age range of 2560 years who were taking care of the geriatric population above the age of 70 years for a minimum of one year were chosen. Four questionnaires ? Burden Scale for Family Caregivers, Psychological Well-Being Scale, World Health Organizations Quality of Life Scale-BRIEF version and Distress Tolerance Scale were chosen. Correlation and multivariate regression were calculated using statistical package for social sciences (SPSS) 21 and Jamovi 3.4.1. Findings: This study found that there is a negative correlation of caregiver burden with psychological well-being, quality of life and distress tolerance. The sub-domains of self-acceptance, psychological health and tolerance levels were most impacted for the caregivers. Through multivariate regression, it was found that the caregiver burden significantly predicted psychological well-being and quality of life. Research limitations/implications: This study focuses on the English-speaking caregivers which may overlook the diverse linguistic and cultural variations within the broader caregiver community in India and the data collection exclusively targeted family caregivers providing support to geriatric population without chronic illnesses. This restriction could potentially limit the generalizability of the findings to the broader caregiving context. Practical implications: The implications of this research are that for caregivers, this study underscores the importance of tailored support programmes that address the negative impact of caregiver burden on psychological well-being and quality of life. Health-care professionals can use the findings to incorporate mental health assessments and interventions within caregiving contexts, recognizing the interconnected nature of these variables. Policymakers can use the findings to inform policies related to caregiver support and health-care resource allocation. Originality/value: In India, the social norm is that children are expected to take care of their parents when they become old. Taking care of elderly parents can be challenging, even emotionally. As a result, this study will focus on how caregivers psychological well-being, quality of life and ability to tolerate distress are affected. Consequently, promoting the creation of community support groups and workplace mental health programmes which could give caregivers a forum to voice their concerns. 2024, Emerald Publishing Limited. -
Improvement in food preservation with nanozymes
To ensure safety, quality, and extended shelf life of perishable food products, food preservation is a critical aspect of food industries. Concerns regarding the potential health risks and loss of nutritional value of food because of traditional methods of preservation such as using chemical additives and high temperatures have set the need for finding alternative methods of preservation, for the betterment of health and the environment. Enzymes have the potential to kill microorganisms. Enzymes such as oxidases, peroxidases, hydrolases, catalases, and others have been extensively studied for their microbicidal activities. However, natural enzymes have shortfalls as they can be easily denatured and cannot be recycled. Nanozymes have gained the limelight in recent years as they can be applied in food industries to overcome the shortfalls of natural enzymes. They embody the highly beneficial properties of both enzymes and nanoparticles at the same time. Due to their enzyme-mimicking properties and versatile applications, nanozymes have become more popular in the last few years. Nanozymes have evolved as a promising alternative for food preservation and the detection of various contaminants in food. However, before the integration of nanozymes into the food industry, several factors such as their stability, biocompatibility, longevity, toxicity, cost-effectiveness, scalability, and regulatory approval need to be addressed. This chapter discusses the concept of nanozymes, its classification, and various applications in food industries specially designed for preservation of food products. 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
Greener Assembly of Nano Catalysts and Sustainable Applications of Magnetically Retrievable and Plasmonic Nano Catalysts
Since ages, catalysts have played a pivotal role in accelerating the production and lowering the cost of a plethora of industrially important commodities. The latest in the scenario are nanocatalysts, which offer a wide array of advantages ranging from improved reaction rates to higher rates of recyclability. However, factors such as stability and support systems must be fine-tuned to achieve maximum efficiency. In accordance with the principle of sustainability, green synthesis methods have propelled the development of a range of nanocatalysts that can be applied in various domains, such as the food industry and biofuel production. Simultaneously, heterogeneous catalysis is gaining more attention globally, primarily due to the ease of recoverability of the nanocatalysts and in this context, magnetically retrievable nanocatalysts are indeed a boon for the green synthesis and sustainable production. Nanocomposites combining plasmonic and catalytic components with noble metal nanoparticles (Au and Ag) and doped semiconductor nanostructures have gained interest in recent years owing to their utility in multiple sectors by virtue of their ability to convert sunlight to chemical energy. The current review describes some methods for the synthesis of such nanocatalysts and their applications in diverse domains. Graphical Abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. -
Data science: simulating and development of outcome based teaching method
The educational researcher has a wealth of options to apply analytics to extract meaningful insights to improve teaching and learning due to the growing availability of educational data. Teaching analytics, in contrast to learning analytics, examines the quality of the classroom environment and the efficacy of the instructional methods used to improve student learning. To investigate the potential of analytics in the classroom without jeopardizing students' privacy, we suggest a data science strategy that uses simulated data using pseudocode to build test cases for educational endeavors. Hopefully, this method's findings will contribute to creating a teaching outcome model (TOM) that can be used to motivate and evaluate educator performance. In Splunk, the study's simulated methodology was carried out. Splunk is a real-time Big Data dashboard that can gather and analyze massive amounts of machine-generated data. We provide the findings as a set of visual dashboards depicting recurring themes and developments in classroom effectiveness. Our study's overarching goal is to help bolster a culture of data-informed decision-making at academic institutions by applying a scientific method to educational data. 2023 IEEE. -
State of local governance and urban development problems: A study of Bengaluru
[No abstract available] -
Role of psychological well-being, quality of life and distress tolerance in caregivers of geriatric population: an Indian exploratory study
Purpose: This study aims to gain an understanding of how caring for an ageing population affects caregivers psychological well-being, quality of life and ability to tolerate distress. This study provides valuable insights into the challenges faced by family caregivers and underscores the critical need for comprehensive support systems. Design/methodology/approach: A correlational method and cross-sectional research design was used for the study. For this, a sample of 200 caregivers in the age range of 2560 years who were taking care of the geriatric population above the age of 70 years for a minimum of one year were chosen. Four questionnaires ? Burden Scale for Family Caregivers, Psychological Well-Being Scale, World Health Organizations Quality of Life Scale-BRIEF version and Distress Tolerance Scale were chosen. Correlation and multivariate regression were calculated using statistical package for social sciences (SPSS) 21 and Jamovi 3.4.1. Findings: This study found that there is a negative correlation of caregiver burden with psychological well-being, quality of life and distress tolerance. The sub-domains of self-acceptance, psychological health and tolerance levels were most impacted for the caregivers. Through multivariate regression, it was found that the caregiver burden significantly predicted psychological well-being and quality of life. Research limitations/implications: This study focuses on the English-speaking caregivers which may overlook the diverse linguistic and cultural variations within the broader caregiver community in India and the data collection exclusively targeted family caregivers providing support to geriatric population without chronic illnesses. This restriction could potentially limit the generalizability of the findings to the broader caregiving context. Practical implications: The implications of this research are that for caregivers, this study underscores the importance of tailored support programmes that address the negative impact of caregiver burden on psychological well-being and quality of life. Health-care professionals can use the findings to incorporate mental health assessments and interventions within caregiving contexts, recognizing the interconnected nature of these variables. Policymakers can use the findings to inform policies related to caregiver support and health-care resource allocation. Originality/value: In India, the social norm is that children are expected to take care of their parents when they become old. Taking care of elderly parents can be challenging, even emotionally. As a result, this study will focus on how caregivers psychological well-being, quality of life and ability to tolerate distress are affected. Consequently, promoting the creation of community support groups and workplace mental health programmes which could give caregivers a forum to voice their concerns. 2024, Emerald Publishing Limited. -
Stress-Driven Changes in Ascorbic Acid Levels in Raphanus Sativus: A Comparative Study
Abiotic stresses such as extreme temperatures and salinity are known to significantly influence the nutritional quality of vegetables during cultivation and postharvest handling. However comparative study on how different abiotic stresses alter ascorbic acid stability in root vegetables like red radish is understudied. Thus, the present study was conducted to evaluate the effect of various abiotic stresses (heat, cold and salinity) on ascorbic acid (AA) levels and antioxidant activity in red radish (Raphanus sativus L.). DCPIP titration and DNPH UV-Vis spectrophotometric techniques were used to analyse the ascorbic acid content, and the DPPH radical scavenging assay was used to measure antioxidant capacity. The findings showed that as stress duration and intensity increased, the total AA content decreased significantly (p < 0.05). At high temperature (90 C), heat treatment resulted in a progressive decrease from 27.7 mg/100g to 20.8 mg/100g. Under cold stress, AA content increased slightly initially and then dropped by 22% on day 8. A two-phase response to salt stress was seen mild salt concentration leading to a moderately increased AA content, while severe salt concentration caused a 55% reduction after 72 hours. With an IC50 value of 8.27mg/mL, the antioxidant activity increased as extract concentration increased from 3.8% to 62.1% inhibition. According to these findings, red radish exhibits a short-term adaptive defence in mild stress situations but a significant decrease in AA in severe stress situations. These findings are consistent with previous reports in other related vegetables such as tomato, broccoli and spinach, where moderate abiotic stress increases antioxidant defences before degradation occurs. These results suggest the need for efficient postharvest management and stress-aware storage techniques to preserve the functional and health-promoting qualities of red radish. 2026 The Author(s). -
Study of State-of-the-Art Performance Metrics in NLP: Specifically for Text Summarization in the Medical Domain Using the SumPubMed Dataset
Text summarization is becoming very important given the number of documents produced each year across domains. In this paper we explore the various traditional metrics for text summarization, such as ROUGE, BLEU, METEOR, etc., and look at improving the performance of the existing metric by taking the stateof-the-art untrained metric SUPERT, and clubbing it with a readability score and a penalty for long summaries. The SUMPUBMED dataset was used for this research and a BERT extractive summarizer was used for generating the summaries. It was found that using a readability score with an unsupervised metric such as SUPERT helped in assessing the quality of the summary more accurately than earlier metrics. We compared the metrics such as SUPERT scores and BERT scores with and without involving the human annotated summaries in the SUMPUBMED dataset and found that untrained metrics perform better than when involving a reference annotated summary. 2025 Scrivener Publishing LLC. -
Ultrasound assisted Friedel-Crafts acylation of aromatics using ferric sulphate as catalyst
The use of ultrasound in the acylation reactions of various aromatics and polyaromatics with different acyl chlorides, in the presence of catalytic amount of ferric sulphate at room temperature, gives good yields of the respective ketones with a short reaction time. A facile and simple synthesis of various aromatic ketones using Friedel-Crafts acylation has been established from the corresponding acid chlorides and aromatic or polyaromatic compounds, respectively under mild reaction conditions with shorter reaction times (30-45 min) and in reasonable yields. This method offers the advantage of low cost and ease of purification of the products because of the small amount of ferric sulphate used in these reactions. -
Corporate governance for sustainable development
Governance relates to structures and processes within an organisation to ensure greater accountability, a higher sense of responsiveness, transparency, and rule of law. Corporate governance balances the interests of a company's many stakeholders, such as shareholders, customers, vendors, financiers, the government, the community, and, very importantly, its own employees. While traditionally corporates had one clear agenda-i.e., make more profits and increase the shareholders' wealth-the 21st century saw the corporates turning a new leaf and looking at their growth from a societal perspective, specifically those relating to sustainable development like environmental protection. In the classical case of poor corporate governance, in the year 1984, the city Bhopal in India witnessed the most nightmarish experience, with the death of 16,000 people due to the leakage of a poisonous gas. 2024, IGI Global. All rights reserved. -
Strengthening Supply Chain Management Through Technology
The removal of trade barriers with the advent of WTO and which led to LPG (liberalization, privatization, and globalization) across the universe increased choices of brands for consumers and even the complexity of products within organization and the expectations of consumers rising daily. Organizations look for better management of their supply chain from end to end, i.e., sourcing of raw materials from vendors to delivering finished products at the doorstep of consumers. This means businesses that used to be operations hubs within the company have moved into the epicenter of business innovation, and this process can not be done manually or by few people within organizations, thus the need to back up business innovations and product complexities through advanced technologies. Using sensors like RFID, CRM, AI, and ML, organizations today collect information at every checkpoint from status of raw materials flow to the location of finished goods. Supply chain management is the process of planning and implementing the operations of the sourcing of quality materials at competitive cost. This chapter explores strengthening supply chain management through technology. 2023 by IGI Global. -
A Study on Motivating Factors Determining the Reasons for Entering into Poultry Farming by Farmers with Special Reference to Suguna Broiler Contract Farms in Coimbatore District
The International Journal's Research Journal of Economics & Business Studies, Vol-3 (5), pp. 61-68. ISSN-2251-1555