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Exploring the role of plant oils in aquaculture practices: an overview
As the global demand for seafood surges, the expanding aquaculture industry faces a pressing need for viable aquafeed ingredients. The raw material for fish oil is limited and expensive due to unpredictable fishery resources in the fishing zones and the overexploitation of wild fisheries, underscoring the urgency of finding alternatives. This review explores diverse plant oil sources, including soybean, rapeseed, linseed, and algal oils, emphasizing their crucial role in nutritionally balanced aquafeeds. These oils support aquatic animals growth, health, and development, influencing membrane structure, energy storage, and hormone production. Genetically modified oilseeds (GM), such as camelina and canola, offer a controlled nutrient content, enabling customized nutrient profiles. This comprehensive review provides an overview of different plant oil sources, elucidates their nutrient profiles, and assesses their potential applications in aquaculture. The discussion encompasses their impact on growth, feed efficiency, lipid profile, health, immunological status, disease resistance, and overall performance of both freshwater and marine fish. Furthermore, the review compiles relevant data on the current status of genetically modified plant oils and explores their potential integration into aquaculture practices. In summary, substituting plant oils for fish oil in aquafeed presents a promising solution to aquaculture industry challenges to meet nutritional requirements for fish. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
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Hermeneutic keys and pedagogic tips: Enrich case research
Pedagogy sharpens and complements hermeneutics to form the prolegomena statement for this chapter. The chapter undertakes two approaches: It deals with closer understanding of the text in depth and also explains the findings of the text for pedagogical applications. The science of interpretations will provide a proliferation of meanings and interpretations. The lessons from pedagogy will facilitate a lot of assistance for academic and teaching purposes. Radhakrishnan Nair's hermeneutic keys and Justin Joy's pedagogic tips form the crux of the matter in the research paper. Here, research in case studies culminate in some useful findings related to comprehension and conception of case as text. However, quite legitimately the research demands a specialist partner in complementary pedagogical research, which compels to find a research association from the management faculty, at once competent in pedagogy. Justin Joy shares and resolves the problems Nair has confronted with. 2023 by IGI Global. All rights reserved. -
Dharma in Manusmrti: Agent of social cohesion and equilibrium
Dharma, through its role as a moral ideal and through its manifestations that permeate every part of the society, binds all the individuals in Manu's society as envisaged in Manusmrti. It serves as a common value and dictates common goals for the people that could be attained by functioning for the good of the institutions they belong to and, ultimately, for the survival of the society. Social institutions like marriage, family, varna system, as?rama system, political system and legal system were structured with accurate positions and roles for their efficient and smooth functioning. They were made to function compatibly with each other to ensure the survival of the society. Manu carefully avoided conflicts and competitions in the society. Thus, by acting as a cohesive agent, Dharma, as a foundational moral principle, integrates both individuals and the institutions to maintain the equilibrium of Manu's state. 2013 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (Dharmaram Vidya Kshetram, Bangalore), ISSN: 0253-7222. -
Representation of women in fairytales: A comparison between three literary texts and their movie adaptations /
Fairytales have been known to create a beautiful world around us. Children have read it or heard it as bed time stories which lead them to dream, create their own fantasies or become a princess who waits for her Prince Charming. Through the passage of time these fairytales have undergone numerous changes with each being of them being of great significance to the norms and culture in place for the society that was in place at the time. -
Transforming sectors: VR and AR applications in healthcare, education, and social roboticsA case study
Virtual reality (VR) and augmented reality (AR) are transforming multiple fields, including healthcare, education, social robotics, and mental health. In medicine, they enhance surgical precision, medical training, rehabilitation, and remote consultations by providing immersive and real-time data-driven environments. Education benefits from interactive and skill-based learning, making complex subjects more engaging and accessible. In social robotics, AR/VR improves human-robot interactions, emotional intelligence in AI assistants, and robotic telepresence. Mental health applications include VR-based exposure therapy, stress management, and PTSD treatment through controlled, immersive simulations. Industrial training leverages VR for hazardous work simulations and AR for real-time assistance, increasing workplace safety and efficiency. In addition, AR supports precision medicine by overlaying real-time visuals during surgeries for improved accuracy. The integration of AI, haptic feedback, and 5G is expected to further advance these technologies. However, ethical concerns regarding data privacy and prolonged VR exposure require careful regulation. Overall, VR and AR continue to revolutionize various sectors, enhancing engagement, efficiency, and personalization in professional and therapeutic settings. 2026 Elsevier Inc. All rights reserved. -
A statistically guided hybrid machine learning framework for predicting supply chain resilience in complex operational environments
This study proposes a hybrid machine learning framework to predict supply chain resilience by integrating principal component analysis, K-Means clustering, and ensemble learning models. The approach captures firm-level heterogeneity, enabling context-specific resilience prediction and interpretability using SHAP values. The findings demonstrate that ensemble models, particularly XGBoost, outperform traditional regression models, and reveal distinct resilience drivers across operational clusters. The framework offers actionable insights for improving resilience strategies and contributes a scalable, explainable approach for data-driven supply chain risk management. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. -
Edge Computing and Real-Time Analytics as the Next Frontier for Big Data in IT Companies
Edge computing combined with real-Time analytics is rapidly transforming the way the IT companies can use big data to make smarter and quicker decisions. Centralized model of clouds traditional clouds are being put under stress owing to an explosive increase in data volume, latency sensitive applications as well as bandwidth limitations. Edge computing also makes computation much closer to data sources and allows real-Time analytics that can mitigate latency by orders of magnitude, increase data security and achieve instant insights at a scale. This paradigm shift gives power to IT firms to maximize operations, individualize services and allow agile reactions in a dynamic scenario like smart infrastructure, IoT implementations, and AI-based systems. Edge computing can also be used to offload processing to the edge thus reducing traffic in the core network as well as enabling distributed intelligence. Moreover, edge systems, coupled with AI models, make IT infrastructures perform predictive analytics at the source and become less dependent on backhaul links. This hybridizing process is a paradigm shift in the serious research of big data strategies, and in a future where competitive advantage will rest on latency, context-sensitivity, and localized smarts. 2025 IEEE. -
Biological and Environmental Applications of Myco-synthesized Titanium Dioxide Nanoparticles
In the present investigation, TiO2NPs were myco-synthesized through the extracellular enzymes of endophytic fungi, Aspergillus versicolor FCPRS11 isolated from stem of Azadirachta indica. The synthesized TiO2NPs was characterized using UV- Vis, FT-IR, SEM, XRD, EDX, DLS and Zeta Potential. The synthesized TiO2NPs were analyzed for their antimicrobicidal properties against five clinical pathogens with two fungal pathogens and were exhibiting significant inhibition towards the bacteria at minimum concentration of 50g/ml of TiO2NPs. The free radical scavenging mechanism of the synthesized TiO2NPs was monitored through various assessment to understand about NPs antioxidant properties and the IC50 values were compared with the IC50 value of standard ascorbic acid (91g/ml). Further the NPs were analyzed for in vitro anti- inflammatory property exhibiting 73.87% inhibition and anti- diabetic properties (62.18% inhibition) proving that TiO2NPs evinced a promising biomedical activity. The larger surface area of the synthesized TiO2NPs as per the SEM analysis, allowed evaluation of their adsorption capacity on soil collected from metallurgical site containing combination of heavy metals and contaminants. The results of adsorption studies demonstrated that the adsorption increases with increase in time of exposure of TiO2NPs and adsorption capacity was determined by employing Langmuir model. The % dye degradation was evaluated by photocatalytic dye degradation studies where at 100mg/L of TiO2NPs, over 91% dye was found to be degraded within 240mins.These findings highlight the potential of myco-synthesized TiO?NPs as effective agents for biomedical applications and environmental nanoremediation. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Solar radiative heat-driven Sakiadis flow of a dusty nanoliquid with Brownian motion and an exponential space-based heat source: KooKleinstreuerLi (KKL) model
The advancement of heat transportation is a significant phenomenon in nuclear reactors, solar collectors, heat exchangers, and electronic coolers; and it can be accomplished by choosing ananofluid as the functional fluid. Nanofluids haveimproved thermophysical properties, dueto theirgreat progress in engineering and industrial applications. Therefore here, the significance of exponential space-related heat source (ESHS) on radiative heat motivated Sakiadis two-phase flow over a moving plate is analyzed for a particulate nanoliquid (CuOH2O). The impact of the haphazard motion of nanoparticles is analyzed through the KooKleinstreuerLi model. On applying a similarity transformation to the governing equations, a set of ordinary differential equations is obtained and numerically solved. Through the perception of graphs, the behavior of the velocity and temperature constraints for diverse values of effective parameters is decoded. The results showthat the temperature of both phases (dust and fluid) improves with the ESHS aspect. Also, the heat transport rate/friction factor enhances/declines with the concentration of dust particles. 2020 Wiley Periodicals LLC -
Soft Computing Approaches for Maximum Power Point Tracking of Solar PV System
Solar power changes according to irradiance and temperature in a day. A Maximum Power Point Tracking (MPPT) algorithm is actually necessary to obtain the maximum power from the photovoltaic (PV) arrangement. In this paper, in order to optimize power and improve the efficiency of PV module with regulated output voltage, soft computing MPPT techniques, flying squirrel search optimization and artificial bee colony methods are implemented on cascaded double voltage lift boost converter. The PV module is subjected to both with and without constraints to analyze the performance of the DC/DC converter, and the comparative outcomes are evaluated for resistive and different types of battery loads at various temperature conditions in MATLAB/Simulink platform. The optimized power is achieved by using artificial bee colony technique with less ripple in the output waveforms at constant 25 C temperature irrespective of the changes in irradiation with the battery load and this can be used for charging of the battery system. 2023 Praise Worthy Prize S.r.l.-All rights reserved. -
A Review on DC-DC Converters with Photovoltaic System in DC Micro Grid
Photovoltaic system is the low-cost source of electrical power in high solar energy regions. The benefits of PV system are like nonpolluting and minimum maintenance. Solar energy changes as per irradiance and temperature and also one factor which reduces the power output is the partial shading in the cells. Hence f o r th, various algo rith ms a r e p u t fo rth to obta in t h e maximum power f r o m t h e PV arrangement and dc-dc converters intend to regulate the supply. The concept of micro grid is emerging as an excellent solution for inter connecting renewable energy sources and loads. DC micro grid is a necessity in today's world. There is wide increase in usage of DC systems in commercial, residential and industrial systems. DC micro grids are dominant in reliability, control and efficiency. Direct current architectures will be used in demand in the future electrical distribution systems. This paper reviews on all above concepts to be used in DC micro grid for future DC applications. Published under licence by IOP Publishing Ltd. -
A Comparative Assessment of Cascaded Double Voltage Lift Boost Converter
In several power conversion applications, dc-dc boost converters with voltage boost techniques are extensively used in order to meet the growing power demand. The main drawback of conventional dc-dc boost converter is obtaining high DC voltages, when operated at high duty ratio which causes switching losses and decreases overall efficiency because of the switch being used to be in 'ON' state for long time and voltage stresses across switch increases. The main objective of proposed converter is to obtain high voltage without extreme duty ratio. When input voltage of 15V DC is given, 201.1V DC output voltage is attained at duty ratio of 0.4 by the cascaded double voltage lift boost converter. To validate the performance of proposed converter, simulation is carried out in LTspice XVII and a comparative assessment of proposed converter with other converters at different duty ratio are realized. 2020 IEEE. -
Trends and Direction of Land Use Change in the Perspective of Urbanization in Karnataka: A District Level Study
Background: Urbanization and industrialization are mainly responsible for the conversion of large tract of agricultural lands and other vegetation-rich lands to non-agricultural purposes. Land and its utilization across various activities must be analysed to frame suitable policies for optimum land use. In Karnataka, the share of the net sown and non-agricultural areas increased. However, the share of permanent pasture and other grazing lands, barren and unculturable land, current and other fallow lands, culturable wasteland and land under miscellaneous tree crops and groves decreased compared to their share in 2000-01. The goal is to explore the direction of land use change between these land use categories in the context of urbanization. Methods: We utilized the district-level data sourced from reports of the Directorate of Economics and Statistics of the Government of Karnataka, enabling us to conduct a robust panel data regression using fixed effects model that empirically establishes the relationships between different land use categories, particularly non-agricultural land, barren land and arable land, from 2000-01 to 2020-21. We recorded the land use changes in the major land use classes at the district level by comparing the temporal dynamics for 2000-01 to 2020-21 and also studied the dynamics of each categorys land use outcomes and the changes in urbanization status at the district level. Result: This study provides a detailed insight into the trends and direction of land use changes in Karnataka from the perspective of urbanization, which has been getting a significant focus in the countrys development. The studys findings have significant policy implications, as they underscore how rapid population growth and the expansion of non-agricultural areas at the district level negatively impact arable and barren land. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Diversification towards horticulture crops: District level evidence from Indian state of Karnataka - A panel regression approach
A growing strand of literature has highlighted a positive association between diversification towards high-value crops and poverty reduction in developing countries, largely drawing on household-level data. However, many socio-economic and biophysical factors operate at the meso (district) level, and their role in diversification towards high-value crops is not well understood. Against this backdrop, the present paper examines the case of the Indian state of Karnataka by drawing upon the panel data from 2001 to 2021 to study the determinants of diversification towards horticulture crops and their sub-sector at the district level. The results of a fixed-effects panel regression model show that increasing the share of horticulture does not necessarily promote diversification. The finding further revealed that factors driving the increasing share of horticulture crops vary in importance across different sub-sectors. Government and donor agencies would do well to note that a one-size-fit-all approach does not work form promoting diversification. It is imperative to develop tailored strategies that address the specific needs and conditions of diverse regions to effectively promote sustainable land-use practices. The studys findings reveals that demand-side factors like gross GDP (gross domestic product) per capita of the district and the degree of urbanization affect horticulture diversification positively. Furthermore, the study provides crucial insights into the impact of increasing population pressure, which is largely associated with rapid expansion of nonagricultural land. This trend negatively affects the availability of land allocated to horticulture and its sub-categories at the district level. The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/) -
Stakeholder Engagement Strategies and Sustainable Change: A Study of Indian Companies
Sustainability is the pathway to prosperity for humanity and businesses alike. It offers the best chance to adjust our course.Paul Polman. Sustainable business practices have become crucial for Indian companies aiming to balance profitability with social and environmental responsibility. These practices involve integrating sustainability into core business strategies, ensuring that operations are environmentally friendly, socially equitable, and economically viable. The dynamic business environment in India necessitates robust stakeholder engagement strategies for sustainable organizational success. Indian companies, operating within a complex socio-economic landscape, must prioritize effective stakeholder communication and collaboration to achieve long-term sustainability. This study explores various stakeholder engagement strategies implemented by Indian companies, using an assessment instrument called Management and Organizational Sustainability Tool (MOST), examining their impact on fostering sustainable change. By analyzing case studies and best practices, the study aims to highlight how Indian businesses can integrate stakeholder perspectives into their strategic planning, thereby enhancing resilience, trust, and overall performance in an increasingly interconnected world. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Sustainable development and catalysts for inclusive start-up growth in corporate management: Using machine learning
This chapter explores the role of machine learning in enhancing corporate sustainability, governance, and performance, and its connection to social impacts. Incorporating machine learning algorithms into companies' processes can enhance resource utilization and reduce their environmental footprint. Combining machine learning algorithms can offer valuable insights into stakeholder engagement, such as customer preferences, employee satisfaction, and community expectations, enabling responsible decision-making and advancing social responsibility goals through responsible decision-making. In addition, machine learning in corporate governance has been used in monitoring compliance, detection of fraud, and enhancement of transparency. The technologies mentioned enhanced operations performance, fostered trust and accountability, and enhanced a firm's social image. The chapter presents case studies demonstrating how machine learning can foster socially responsible, sustainable, and performance-oriented businesses, emphasizing ethical considerations in data privacy. 2025, IGI Global Scientific Publishing. All rights reserved. -
Enhancing rainwater harvesting and groundwater recharge efficiency with multi-dimensional LSTM and clonal selection algorithm
Rainwater harvesting stands out as a promising solution to alleviate water scarcity and alleviate pressure on conventional water reservoirs. This work introduces a pioneering strategy to elevate the efficiency of rainwater harvesting systems through the fusion of Multi-Dimensional Long Short-Term Memory (LSTM) networks and the Clonal Selection Algorithm (CSA). The Multi-Dimensional LSTM networks serve to model intricate temporal and spatial rainfall patterns, enabling precise predictions regarding the optimal times and locations for rainwater abundance. This insight is pivotal in refining the design and operation of rainwater harvesting setups. Drawing inspiration from the immune system, the Clonal Selection Algorithm is employed to optimize site selection and resource allocation, ensuring the maximal utilization of harvested rainwater. The adaptability and robustness of CSA prove invaluable in tackling the dynamic nature of rainfall patterns. This research endeavor is dedicated to enhancing groundwater levels and optimizing its sources through the implementation of efficient harvesting techniques. By delving into innovative methodologies, it aims to contribute significantly to sustainable water management practices and ensure a reliable supply of groundwater for various societal needs. The experiments are conducted to study the effectiveness of rainwater harvesting systems, where the proposed method achieves increased efficiency, thereby reducing dependence on conventional water sources and contributing to sustainable water management practices. The proposed CSA-LSTM model demonstrates superior performance compared to ACO-ANN and PSO-BPNN, achieving higher training, testing, and validation accuracies while exhibiting lower training, testing, and validation losses. Additionally, CSA-LSTM showcases excellent site suitability, high resource utilization, and robustness to changes, with a fast response time, emphasizing its potential for efficient and effective applications. 2024 Elsevier B.V. -
Implementation challenges of Total Quality Management (TQM) in dairy sector /
Smart Journal of Business Management Studies, Vol.15, Issue 1, pp.1-9, ISSN No: 2321-2012. -
Riding the waves of culture: An empirical study on acclimatization of expatriates in IT industry /
Problems And Perspectives In Management, Vol.16, Issue 3, pp.432-442