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A Conception of Blockchain Platform for Milk and Dairy Products Supply Chain in an Indian Context
The potential for adulteration in the Indian dairy supply chain process is immense. The possibility of incorrect information recorded by middlemen cannot be ruled out and found to be rampant. The reality is that the data required to assess the safety and quality of milk produced is inadequate in the existing setup. The current set of checks and balances to fight adulteration of milk and dairy products in India is studied and articulated. An elaborate and daunting set of procedures marks these checks and is still significantly found wanting. To increase the product's safety and traceability of the product an alternate pathway to deploy Blockchain technology in the milk and dairy product supply chain has been proposed. Despite the proposal requiring drastic changes in the milk and dairy industry, the authors believe the benefits of implementing a Blockchain platform far outweigh the challenges involved. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
A Conceptual Framework for Agile as HR Operational Strategy
Purpose: This paper examined Agile human resource (HR) as an operational strategy, emphasizing the relationships between operational, HR, and organizational strategies. It develops a collaborative culture, establishes learning organizations, supports agile team design, and improves agile strategic behavior. Agile HR has been underutilized in academic literature despite its potential, highlighting the disconnect between practitioner objectives and HR research. Methodology: A conceptual framework for Agile HR was developed using qualitative secondary research methods. Secondary sources included books, journal articles, research papers, reports, and whitepapers. A thematic analysis was used to code the data and identify themes relevant to Agile HR, and concept mapping was used to illustrate the relationships between the key concepts. Findings: A conceptual framework for Agile HR strategies was developed to foster an agile organizational culture and equip employees with agile strategic behaviors. Organizations will be able to establish and preserve a durable competitive edge in quickly changing marketplaces by using these tactics. Practical Implications: This paper provided insights into implementing agile HR operational strategies. Continuous iteration was used to enhance processes, boost employee experiences, and improve organizational agility to implement these strategies. Originality: While existing literature explored the relationship between organizational agility and dynamic capabilities, it largely overlooked the concept of agile behavior. This research addressed this gap by proposing a framework for flexible adjustments to human and organizational capabilities. It was a targeted approach for agile management aligned with organizational, HR, and agile strategies, emphasizing scalability. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
A Conceptual Framework for AI Governance in Public Administration - A Smart Governance Perspective
With the public governance lagging behind the fast evolving of AI in their attempts to yield sufficient governance, corresponding principles are necessary to be in par with this dynamic advancement. As AI becomes more pervasive and integrated into various domains, there is a growing need for AI governance models that can ensure that the development and deployment of AI systems align with ethical, legal, and social standards. There are some answers that literature puts forward to the question onthe way the government and public administration has to react to the huge concerns related to AI and usage of policies to avoid the emerging challenges. In this survey, AI problems and the prior AI regulation techniques are analyzed. In this research study, a governance model for AI is proposed by combining all the facets and also implements a new procedure for governing AI. This study will help the decision makers to make smart government a reality by using AI governance framework. 2023 IEEE. -
A conceptual framework for consumer engagement in social media influencer posts
Influencer marketing has received significant attention and is considered as the best way to build consumer engagement with the brand. However, research on Influencer marketing is burgeoning, and it is important to study the consumer behaviour associated with influencer marketing. Therefore, this study proposes a logical conceptual framework by integrating various construct such as ad recognition, informativeness, deceptiveness, irritation, entertainment, ad content value, and consumer engagement from various theories and provides implications for marketers to frame an effective marketing campaign and policymakers to formulate policies to protect consumers from deceptive advertising practice. 2024, IGI Global. All rights reserved. -
A conceptual framework for the worklife balance of police officers: a post-COVID-19 perspective
This study has undertaken a comprehensive review of literature from 2019 to 2021, encompassing work/life balance review articles to identify the research gap in the work/life balance area. Employing the PRISMA framework for systematic literature review, the study identified prospective areas for future research on work/life balance and variables associated with work/life balance in the police sector. The articles published between 2013 and 2023 relating to the police force over the past decade were reviewed to frame a conceptual framework for the work/life balance of police officers. Further literature review attests that there is a research gap in the police sector. The primary goal is to identify the area (work/life balance in the police sector) that lacked research and establish a conceptual framework addressing the work/life balance of police officers, even in challenging situations like COVID-19. The articles related to police from 2013 to 2023 were scrutinised through the PRISMA framework to identify variables necessary for constructing the conceptual framework for police officers. This article, set in the post-COVID-19 era, delves into the factors influencing police officers capacity to uphold a healthy worklife balance. By pinpointing those research gaps, the article proposes a conceptual framework designed to help police officers balance their professional and personal lives. Such a framework can aid organisations in formulating effective strategies for employee well-being, facilitating worklife balance even in challenging circumstances, such as those imposed by the COVID-19 pandemic. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
A CONCEPTUAL MODEL FOR SKILL DEVELOPMENT: A KEY DRIVER FOR INCLUSIVE GROWTH AND SUSTAINABLE DEVELOPMENT
Purpose: This chapter explores the two major schemes applicable to skill development in India: Skill Acquisition and Knowledge Awareness for Livelihood Promotion (SANKALP) and Pradhan Mantri Kaushal Vikas Yojana (PMKVY). Need for the Study: The primary objective of this research is to check the role of these schemes in enhancing the skills of socio-economically stressed community members for their livelihoods. The secondary aim is to analyse the outcomes of these schemes through a qualitative inquiry. Methodology: A survey was conducted, and the data was collected from trainees of the skill development programmes. Based on the responses, a qualitative content analysis was performed, which showed that most trainees have the thirst and urge to enhance their life skills for a minimalistic livelihood. Findings: The study concluded that though there are many schemes, only PMKVY is active. They focus on more than just youth communities. Instead, they consider individuals in different age categories. Practical Implications: The Government of India (GOI) is progressing towards a healthy economy to compete with other countries. For this mission to be achieved, skill and labour development is paramount. Appropriate training must be provided and administrated through government schemes. 2024 by P. S. Anuradha, L. Mynavathi and M. Anand Shankar Raja Published under exclusive licence by Emerald Publishing Limited. -
A conceptual study on searching techniques used in ontology based search engines /
Search engines play a vital role in finding the relevant information across the web and make it available on the finger tips. But they seemed to be less efficient to understand the relationship between the keywords which had an adverse effect on the results it produced. Semantic search engines ?? only solution to this; is still an unrealized dream due to various underlying issues. Reducing the time taken to search the semantic annotated documents is a highly demanded solution for semantic search engines. This research focuses on a study and improvisation of searching techniques used in semantic search engines keeping time complexity as the major factor. Developing semantic search engines is considered to be a time consuming and tedious process. The reasons attributed to that are ?? It is a mightier task to semantically annotate each and every resource (text and multimedia files) available on the net as the number keeps on increasing in an exponential order per day. -
A conceptual study on the impact of COVID-19 awareness campaigns by social media influencers on brand awareness
Covid 19 has severally affected various people across the world. Undoubtedly, a campaign on forming awareness of the pandemic among people is very important in order to curb the transmission from individual to individual. In this regard, social media influencers have played a significant role in many awareness campaigns organized by companies and the World Health Organization (WHO) because of their popularity and influence among the audience. Social media influencer campaigns on awareness of the pandemic conducted during this period have generated audience engagement. Moreover, it is vital to study the crucial factors that determine the creation of brand awareness among consumers related to influencer marketing campaigns on covid 19 awareness. This study has proposed a conceptual framework by integrating the variables from various theories. This research has incorporated variables such as awareness of covid 19, consumer engagement, physical health, mental health, and brand awareness. This study provides both theoretical and managerial implications. 2024, IGI Global. -
A concise and effectual method for neutral pitch identification in stuttered speech
Researchers have studied that human-computer interactions (HCIs) can be more effective only when machines understand the emotions conveyed in speech. Speech emotion recognition has seen growing interest in research due to its usefulness in different applications. Building a neutral speech model becomes an important and challenging task as it can help in identifying different emotions from stuttered speech. This paper suggests two different approaches for identifying neutral pitch from stuttered speech. The implementation has proved through its accuracy the best model that can be adopted for neutral speech pitch identification. 2017 Walter de Gruyter GmbH, Berlin/Boston. -
A concise route to fused tetrazolo scaffolds through 10-camphor sulfonic acid auto-tandem homogeneous catalysis and mechanistic investigation
10-Camphor sulfonic acid (10-CSA) as an organo-catalyst has gained interest due to its versatile solubility and easiness of handling. This work reports a simple synthetic method through non-classical Biginelli for the construction of tetrazolo pyrimidine (4a-m) and quinazolines (4a?-o?). Azolopyrimidines and quinazolines are of great pharmaceutical importance. Numerous compounds are currently in use for the treatment of different diseases. Therefore their synthesis is industrially inevitable. Employing aldehydes, 1,3-dicarbonyls, and 5-Aminotetrazole, we report eco-friendly, cost-effective catalysis through a tandem reaction catalyzed by the 10-CSA that gave excellent yields, 7095 % for tetrazolo quinazoline and 4576 % tetrazolo pyrimidines respectively. The homonuclear NOESY analysis confirms the selective formation of one isomer. All the compounds are characterised by 1H NMR, 13C NMR, and MS. Investigation of the reaction mechanism by both experimental and theoretical studies provides evidence. Mechanism of the reaction was also explained utilizing the information from mass spectrometry monitoring. DFT calculation carried out at PBEPBE (Perdew-Burke-Ernzerhof) functional and 6-31G (d,p) basis set level of theory of the various intermediates observed supports the experimental evidence. 2023 Elsevier B.V. -
A concise study on the phytochemistry and antimicrobial efficiency of Artemisia absinthium L.: Phytochemical analysis of plant
This study is meant to elucidate the phytochemical and antibacterial characteristics of wormwood Artemisia absinthium L, a perennial herb from Asteraceae family that has been used extensively in traditional medicine. It has diverse phytochemical composition, including bitter sesquiterpenoid lactones like absinthin, as well as essential oil constituents including camphene, ?-cadinene, guaiazulene, ?-thujone, ?-thujone, and thujyl alcohol esters. Applications of A. absinthium in the past include its ability to treat a wide range of illnesses, from fever to gastrointestinal problems. This study highlights the presence of various phytochemical compounds in plant extract of A. absinthium, such as tannins, saponins, and terpenoids through standardised protocols. Remarkably, this study also reveals its antibacterial capabilities using agar well diffusion method against five different pathogenic bacterial strains, including Escherichia coli (MTCC 443), Salmonella typhi (not sequenced, procured from Chettinad Hospital, Chennai), Staphylococcus aureus (MTCC 3160), Enterococcus faecalis (MTCC 439), and Klebsiella pneumonia (MTCC 109). Testing it against these strains of bacteria highlighted its effectiveness in this area. A. absinthium presents a compelling topic for continued scientific investigation due to its complex phytochemical composition and antimicrobial efficiency. 2026, ScienceIn Publishing. All rights reserved. -
A Congruent Approach to Normal Wiggly Interval-Valued Hesitant Pythagorean Fuzzy Set for Thermal Energy Storage Technique Selection Applications
Thermal energy is the energy from a substance in which molecules and atoms vibrate faster because of an increase in temperature. Thermal energy storage (TES) is an available energy resource for renewable energy platforms that enables them to meet sustainable technical requirements. The TES technique is divided into three categories; sensible TES, latent-heat TES, and thermo-chemical TES. The best of these techniques is selected in this research paper. Here the Interval-Valued Hesitant Pythagorean Fuzzy Set (IVPHFS) under the Normal Wiggly Mathematical Methodology is proposed and described for application to multi-criteria decision making (MCDM) technology. The MCDM methods, the Step-wise Weight Assessment Ratio Analysis (SWARA) method for determining weight values, and the Weighted Aggregated Sum Product Assessment (WASPAS) method for ranking alternative values are used employed here. The alternative values are selected based on the following criteria: capacity, efficiency, storage period, charging and discharging times, and cost 2021, Taiwan Fuzzy Systems Association. -
A constrained multi-period portfolio optimization model based on quantum-inspired optimization
Multi-period portfolio optimization (MPO) is one of the most important problems to be solved to help investors select optimal portfolios for investment plans. The portfolios are influenced by the risk factors in the market and it is important to select optimal portfolios that can maximize the returns with minimum risk values. Other than the risk factor, there are several other influential factors that reduce the optimality of the portfolios. Therefore, by considering all possible constraints, this study proposes a multi-constraint MPO model that selects the optimal portfolio based on the asset returns. To solve the multi-constrained problem, a novel quantum-inspired whale optimization algorithm (QWOA) is introduced in this paper. The proposed algorithm enhances the traditional optimization model to work in a multi-constrained scenario. Here, quantum entanglement is adapted to reduce the slow convergence issue of whale optimization. Apart from considering only the risk factors, this paper also considers certain higher-order moments (HOM), such as skewness, kurtosis, transaction cost, diversification, boundary and budget constraints. These factors affect the portfolios as the market is dynamic, and timely changes are always seen. Thus, optimizing the mentioned factors aids in attaining an optimal portfolio. Empirical evaluations are performed, and the results suggested that the proposed model provided beneficial outcomes as compared with other algorithms like whale optimization algorithm (WOA), gray wolf optimization (GWO), fruitfly optimization algorithm (FOA), particle swarm optimization (PSO) and fruitfly algorithm (FA). The overall net return rate of the proposed model is always above 0.85% for different values of upper bounds, and the obtained Sharpe ratio, Sortino ratio, STARR ratio, information ratio, Shannon entropy, and downside deviation values of the proposed algorithm are 5.016254, 0.89327, ? 0.01987, 0.103826, 3.04452 and 0.2854. Hence, the proposed approach is highly effective for optimizing the constrained MPO. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
A Context-Aware Finite State Machine for Gesture-Driven UAV Control
Gesture based Unmanned Aerial Vehicles (UAVs) is a very intuitive way to control drones (UAVs). Current methods tend to associate one gesture to one action, a practice which is rigid and inflexible. In this paper, we propose the Finite State Machine (FSM)-based gesture control framework, which allows triggering several actions of the UAV with a single gesture depending on the current state of the drone. MediaPipe hand gestures recognition and integration with ROS2 and PX4 allows the system to automatically takeoff, land, hover, automated ascents, and directional speed variation. Experiments in a ROS2 simulation environment test the system in terms of gesture-to-state latency, the rate of successful commands, the extent of the FSM that the system is capable of controlling, and the rate of false positives (spurious transitions). The results indicate that the suggested method has robust and responsive control of the UAV, which forms the basis to establish more intuitive and adaptive human-UAV interaction in limited spaces. 2025 IEEE. -
A continuous protocol for the epoxidation of olefins, monocyclic terpenes, and Alpha Beta Unsaturated Carbonyl Synthons using eco-friendly Flow Reactor Conditions
Herein, we report a simple synthetic protocol for selective epoxidation of olefins, monocyclic terpenes, and chalcones using a continuous semi-batch process in good to excellent yields. Mainly, industrial semi-batch epoxidation is an extremely risky process that includes very high safety measures to avoid the accumulation of peroxide species in the reactor during the process, which leads to accidents. To avoid the same, we have established a constant flow reactor protocol for the epoxidation of fore mentioned key synthons using a cyanamide-potassium carbonate catalytic system which helps to reduce the accumulation of the peroxide species, and also yields moderate to high yields of the desired products. The developed methodology was successfully utilized for the epoxidation of a range of aliphatic to aromatic olefins to generate corresponding epoxides. All the products and their structures were examined using 1HNMR, and 13NMR spectroscopy. More importantly, this proposed protocol is recyclable and reproducible where in using similar research conditions. 2022 The Authors -
A Cooperative Global Sequencing Algorithm for Distributed Wireless Sensor Networks
Data gathering is a very fundamental use for wireless sensor networks. The area to be monitored has sensor units distributed. They can tell how much demand there is. Temperature, pressure, humidity, sun rays, and other factors could be involved. The detected data is sent to a centralized device called a sink or just a base station. Networks are frequently distributed in character, meaning that more than one kind of instrument is placed in a particular area. There is only one kind of component in uniform networks. A tree is created and anchored at the sink after the nodes have been distributed. In distributed networks, flawless aggregation is challenging to accomplish. In contrast to uniform networks, nodes may receive and transmit multiple types of packets. Every message should be forwarded by the node to a parent so that it can be combined in order to increase the likelihood of aggregation. As a result, a node might need to choose more than one progenitor. This implies that various parameters should be taken into account while forming trees. We have improved the literature's suggested combined distributed scheduling and tree generation for distributed networks. We discover that the expanded method maximizes aggregation, schedules the network with fewer time slots, and uses less energy. Additionally, it is discovered that distributed networks require more management costs to schedule than uniform networks do. 2023 IEEE. -
A Cost-Effective NFC-Based Tap-and-Pay Payment System
Rapidly emerging contactless payment methods have totally transformed the economic landscape by ensuring a convenient and efficient means to standardize price structures. Presented in this work is a Tap-and-Pay Payment System which is based on Near Field Communication (NFC) that would substitute the traditional Point-of-Sale (POS) terminals. This device utilizes NFC technology to allow merchants to take payments with only a smartphone, eliminating costly hardware. We provide a comprehensive discussion on the system's architecture, its security properties, the implementation issues faced, and performance evaluations thereof, as well as an investigation into serving SMEs by enhancing the access of digital payments and propagating inclusive finance. Future enhancements include enriching functionalities such as multi-currency support and offline transaction capabilities. 2025 IEEE. -
A critical analysis of artificial intelligence and the Indian legal framework with special reference to health data protection /
India is one of the largest and fastest-growing markets for Artificial Intelligence technology, with a significant number of startups and established companies developing AI-driven solutions across various industries. However, the legal framework for AI in India is still evolving, and there is currently no specific law or regulation governing the development and use of AI. This lack of regulation creates significant challenges for businesses and policymakers, as it leaves many critical legal and ethical questions unanswered. Artificial Intelligence is rapidly transforming various industries, including healthcare, by providing tools that can help in the analysis and interpretation of medical data. However, the use of AI in the healthcare industry has raised concerns about the privacy and security of personal health information. This research provides a critical analysis of AI and the Indian legal system with special reference to health data protection. -
A critical analysis of the complexity of leadership in zimbabwean anglican churches
This study examines the leadership controversy in the Anglican Churches of newlineZimbabwe and evaluates the extent to which the exigencies of power impacted upon this newlineconflict. This study is necessitated by the fact that the Anglican Church Province of Central Africa has been affected by an unprecedented conflict hinged on leadership wrangle and a crisis of legitimacy. This has resulted in the excommunication of Bishop of the diocese of Harare who had deliberately withdrawn from the Anglican international communion to form the province of Zimbabwe. Key to this dispute was the allegation of gay marriages presumably blessed by the Church of the Province of Central Africa (CPCA) although it appears that there were other multifarious factors behind the controversy. Given this background, this study seeks to present a critical exploration of the cardinal factors at play within the context of the Episcopalian polity and try to link church governance and ecclesiology to the context of the Anglican conflict in Zimbabwe. It should be appreciated that, as the world is setting into the 21st Century and Globalization becomes inescapable, a new breed of leaders and leadership paradigm is needed in Christian organizations. There is newlinea general consensus among scholars that the term leadership can be defined from various newlinevantage points. But for the purposes of this study, the term leadership designates the art of inducing competence, an instrument of goal achievement, a form of persuasion. Leadership newlineis the most important factor determining the future of any organization. The style of newlineleadership in a religious organization is a critical determinant in enhancing the stability and growth of the church. To this end, leadership has to do with the manner and approach of providing direction, implementing plans for institutional development, staff development progress in pursuit of organizational excellence. -
