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Linear and nonlinear triple diffusive convection in the presence of sinusoidal/non-sinusoidal gravity modulation: A comparative study
The non-uniform vertical vibrations (gravity modulation) or g-jitter or time-periodic body force, can be realized by oscillating the system vertically. The time periodic variations are considered to vary sinusoidally (trigonometric cosine) or non-sinusoidally (square, sawthooth and triangular) to study three-component convection in a Newtonian fluid using linear and non-linear analyses. In the linear theory, the expressions for the Rayleigh number and the correction Rayleigh number are obtained by using a regular perturbation method. The eigen value is obtained by adopting the classical Venezian approach. The generalized Lorenz model is derived using a Fourier series with additional modes and under the assumption of the Boussinesq approximation and small-scale convection motion. The resulting non-autonomous Lorenz model is solved numerically to quantify the heat and mass transports. The results are considered against the background of the results of no modulation. Study reveals that all the four types of gravity modulation delay the onset of convection and thereby lead to the diminished heat transfer situation. It is also found that in the case of trigonometric type of gravity modulation heat and mass transports are between those of the cases of triangular and square types. The results in respect of saw-tooth and triangular wave modulations are identical. 2021 Elsevier Ltd -
Linear and weakly non-linear analysis of gravity modulation and electric field on the onset of Rayleigh- Benard convection in a micropolar fluid /
Journal of Advances in Mathematics, Vol.9, Issue 3, pp.363-388, ISSN No: 2347-1921. -
Linear and weakly non-linear stability analyses of Rayleigh-Bard convection in a water-saturated porous medium with different shapes of copper nanoparticles
The Rayleigh-Bard convection of a nanoliquid-saturated porous medium confined in a very shallow enclosure is investigated theoretically using the modified Buongiorno - Brinkman model. In the study, the chosen nanoliquid-saturated porous medium is assumed to be made up of water well dispersed with copper(Cu) nanoparticles of five different shapes saturating in a 30% reinforced polycarbonate glass fiber(GF) porous material of high porosity and its effective thermophysical properties are calculated using the phenomenological laws or mixture theory. Two kinds of boundary conditions, viz., stress-free and rigid, are employed and the analytical solution is obtained in both cases. On the other hand, Rayleigh-Bard convection in a very shallow domain of height 5mm and width 5cm filled with water-liquid and bounded by the rigid boundaries is simulated. The simulation results are then compared with the analytical results in the case of rigid boundaries. We found that the analytical results are in good agreement with those of the simulation results and this validates results of the present study. Linear and weakly non-linear stability analyses are performed to find the onset and the heat transport of the system. The effects of various parameters on the onset and heat transport of the system are depicted graphically and the physical explanation is provided for all observed results in the study. We found that the addition of dilute concentration of nanoparticles advances the onset and thereby enhances the heat transport in the system. Among five different shapes of copper nanoparticles, maximum and minimum heat transports are observed in the cases of blade and spherical shaped nanoparticles, respectively. The porous medium parameters: Brinkman number and porous parameter, show a stabilizing effect in the system. The existence of subcritical motions is also predicted for the system. The results of the Khanafer-Vafai-Lightstone(KVL) single-phase model, nanoliquid, base liquid and base liquid-saturated porous medium are obtained as limiting cases of the present study. Since nanoparticles and porous medium, respectively, show a destabilizing and stabilizing nature of influence in the system, the present work has possible applications in both heat removal and heat retainment systems. 2022, The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature. -
Linear and weakly nonlinear stability analyses of Darcy Bard convection with feedback control
In this paper, the effect of feedback control on the criterion for the onset of DarcyBard convection in a horizontal Boussinesq Newtonian fluid is studied theoretically. The bounding isothermal lower and upper surfaces are considered to be rigid. The single term Galerkin method and the Maclaurin series expansion are combined with the Newton-Raphson method of three variables to perform a linear stability analysis in order to determine eigen value. To make a weakly nonlinear stability analysis of the system, a Vadasz Lorenz model is constructed. The models various properties are discovered to be identical to those of the standard Lorenz model. The exhibits both dissipative and conservative characteristics and the bounded nature of its solution is demonstrated by the trapping region, which takes the form of an ellipsoid. The Hopf-Rayleigh number determined from the autonomous dynamical system predicts the onset of chaos. The influence of the controller gain parameter and the Biot number on the onset of convection has been analyzed. Results from the study reveal that the controller gain parameter stabilizes the system and further delays the onset of chaos. Overall, the study establishes that an increase in the Biot number promotes long-term periodic motion over chaotic behavior, while an increase in the controller gain parameter enlarges the trapping region, thereby contributing to improved system stability. The Author(s) 2025. -
Linear Regression Tree and Homogenized Attention Recurrent Neural Network for Online Training Classification
Internet has become a vital part in people's life with the swift development of Information Technology (IT). Predominantly the customers share their opinions concerning numerous entities like, products, services on numerous platforms. These platforms comprises of valuable information concerning different types of domains ranging from commercial to political and social applications. Analysis of this immeasurable amount of data is both laborious and cumbersome to manipulate manually. In this work, a method called, Linear Regression Tree-based Homogenized Attention Recurrent Neural Network (LRT-HRNN) for online training is proposed. In the first step, a dataset consisting of student's reactions on E-learning is provided as input. A Linear Regression Decision Tree (LRT) - based feature (i.e., student's reactions and posts) selection model is applied in the second step. The feature selection model initially selects the commonly dispensed features. In the last step, HRNN sentiment analysis is employed for aggregating characterizations from prior and succeeding posts based on student's reactions for online training. During the experimentation process, LRT-HRNN method when compared with existing methods such as Attention Emotion-enhanced Convolutional Long Short Term Memory (AEC-LSTM) and Adaptive Particle Swarm Optimization based Long Short Term Memory (APSO-LSTM, performed better in terms of accuracy(increased by 6%), false positive rate (decreased by 22%), true positive rate (increased by 7%) and computational time (reduced by 21%). 2022 IEEE. -
Link stability - based optimal routing path for efficient data communication in MANET
The paper delves into the complexities of Mobile Ad hoc Networks (MANETs), which consist of a diverse array of wireless nodes. In such networks, routing packets poses a significant challenge due to their dynamic nature. Despite the variety of techniques available for optimizing routing in MANETs, persistent issues like packet loss, routing overhead, and End-to-End Delay (EED) remain prevalent. In response to these challenges, the paper proposes a novel approach for efficient Data Communication (DC) by introducing a Link Stability (LS)-based optimal routing path. This approach leverages several advanced techniques, including Pearson Correlation Coefficient SWIFFT (PCC-SWIFFT), Galois-based Digital Signature Algorithm (G-DSA), and Entropy-based Gannet Optimization Algorithm (E-GOA). The proposed methodology involves a systematic process. Initially, the nodes in the MANET are initialized to establish the network infrastructure. Subsequently, the Canberra-based K Means (C-K Means) algorithm is employed to identify Neighboring Nodes (NNs), which are pivotal for creating communication links within the network. To ensure secure communication, secret keys (SK) are generated for both the Sender Node (SN) and the Receiver Node (RN) using Galois Theory. Following this, PCC-SWIFFT methodologies are utilized to generate hash codes, serving as unique identifiers for data packets or routing information. Signatures are created and verified at the SN and RN using the G-DSA. Verified nodes are subsequently added to the routing entry table, facilitating the establishment of multiple paths within the network. The Optimal Path (OP) is selected using the E-GOA, considering factors such as link stability and network congestion. Finally, Data Communication (DC) is initiated, continuously monitoring LS to ensure optimal routing performance. Comparative analysis with existing methodologies demonstrates the superior performance of the proposed model. In summary, the proposed approach offers a comprehensive solution to enhance routing efficiency in MANETs by addressing critical issues and leveraging advanced algorithms for key generation, signature verification, and path optimization. 2024, Universitas Ahmad Dahlan. All rights reserved. -
Linkage Between Brand Value and Firm Performance: An Empirical Examination Using Fuzzy Set Qualitative Comparative Analysis
This study is designed with the data of Interbrand for ranking top 100 global brands. In this study, the linkage between brand values and financial performance was estimated using different performance measures that include both stock market and operating performance using Fuzzy Set Qualitative Comparative Analysis (fsQCA) technique. The study investigates the effect of brand value on profitability and shareholder. It is observed that the firms that have superior operating performance result in greater brand valuation. Performance of firms measured through profitability is found to be a significant factor in brand valuation. Brand valuation is also found to be significant determinant of profitability. Thus, higher brand quality improves the likelihood of repurchases and in turn improved cash flows. Firms with high agency conflicts tend to have lower brand value. Higher market valuation positively impacts brand valuation in the context of lower leverage and agency costs. The linkage of brand value to firm performance is the justification for marketers investments toward branding initiatives as a mechanism that creates value. This study is the first of its kind to examine the impact of agency costs on brand value using fsQCA technique to understand valuation impact of brands. To measure the effect of branding and marketing initiatives of the firms on financial performance, this study integrated both econometric and financial modeling. The Author(s) 2023. -
Linkage between enterpreneurial orientation and export performance of South Asian countries
Purpose: South Asian economies has witnessed export dependence over the past several years and the dependence has increased manifold. Export performance is the most preferred modes of internationalisation in developing economies as it is directly linked to getting access to international markets with limited resources and capabilities thereby contributing to the economic productivity of the country. This paper examines co-integration between the export performance and entrepreneurial orientation in South Asian nations explaining it as the main enabler of export. Entrepreneurial Orientation has been considered an important criterion for promoting export as EO requires innovation, proactiveness and risk taking which provides competitive advantage to enterprises. Design/Methodology/Approach: The research employed an econometric panel cointegration investigation to analyse the long run relationship of economic orientation and export performance among these nations. Findings: The research confirmed positive long run causality between the innovativeness, proactiveness and risk taking as three dimensions of entrepreneurial orientation and export concentration ratio as an indicator for export performance among South Asian nations. So, if these developing nations continue to diversify their product & market mix in exporting products and services the concentration ratio would improve that would result in growing further economic productivity. Practical implications: This research will serve as an aid to policy makers and entrepreneurs of South Asian nations to focus on the diverse mix of variety of products, services and markets to help South Asian nations prosper. Originality/Value: The policy makers and entrepreneurs of South Asian nations have accorded high priority to export performance. This research is one of the few studies that highlights access to EO as the basis for better export performance of South Asian nations. 2021, Allied Business Academies. All rights reserved. -
Linkages between Stock Market Development, Banks and Economic Growth in India: An ARDL Approach
The banking and stock market development was perceived to be an essential channel for economic growth through mobilisation and allocating productive investments. On the other hand, it was emphasised that economic growth would create demand for financial services and would lead to financial sector development. Existing literature attempts to investigate whether financial development is the primary driver of economic growth or vice versa. However, the issue remains unsolved and ambiguous. The present study investigated the causal relationship between stock markets, banks and economic growth in India using Autoregressive Distributed Lag (ARDL) bounds testing approach. The empirical result confirmed the long-run bidirectional relationship between financial development and economic growth in India. In the short-run, the empirical evidence showed that the market capitalisation of the Bombay Stock Exchange and IIP were unrelated and that a bidirectional relationship existed between the value of shares traded on the Bombay Stock Exchange and output. Furthermore, the findings supported unidirectional causality from the National Stock Exchange market capitalisation to output in the short-run. The value of shares traded on the National Stock Exchange and output had a feedback connection. 2022 The Society of Economics and Development, except certain content provided by third parties. -
Linkages between Sustainability, Trade, and Geopolitics: The Green Subsidies Dilemma
Sustainability has become deeply rooted due to the nexus between trade and sustainability however, green subsidies is one area wherein the linkages between trade, sustainability and geopolitics, manifests the most. The subsidy race between Global North and South can be trade distortive, this has resulted in numerous WTO disputes. The author intends to establish the relationship green subsidies and ecological goals, followed by assessment of competitive dynamics between different trading entities pertaining green subsidies and also, the WTO redressal of disputes arising out of green subsidies. Herein, the author will conduct a comparative analysis of Green Subsidies regime in India, United States and European Union to ascertain the geo-political framing of sustainable trade. The overarching objective of this chapter is to ascertain the disguised power-based system camouflaged in the advocated rule based system of WTO as well as to provide recommendations for greening the Global trading system. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Linking Metacognition, Workplace Cognitive Competencies and Performance: An Integrative Review-Based Conceptual Framework
A key driver of workplace cognitive competencies is metacognition which has been shown to impact performance among nurses, teachers and firefighters, however, it is scarcely studied among managerial employees. The research investigating this relationship is also scattered across multiple domains limiting its utility for researchers and practitioners. This paper, therefore, presents an integrative review of the existing empirical literature from the Web of Science and Scopus database to trace the linkages of metacognition, workplace cognitive competencies and performance at work. The identified linkages are then formulated into a conceptual framework clarifying how various workplace cognitive competencies and performance may be linked to metacognition. The findings indicate linkages between metacognition and various workplace cognitive competencies such as problem-solving, decision-making, innovation, creativity and knowledge acquisition. The present research also establishes the link of metacognition and cognitive competencies with learning, individual and firm performance. The review paves way for metacognition to be considered as a distinct construct in the workplace, identifies gaps and provides direction for future research. Copyright 2022 The Author(s). -
Linking non-financial motivators of women entrepreneurs with entrepreneurial satisfaction: A cluster analysis
Women entrepreneurs confronted with several obstacles while managing their business houses and dealt firmly developing successful ventures over time. The long term sustainability of their business reflects their entrepreneurial skills. The existence of certain forces empowered entrepreneurial drive of women entrepreneurs leading to their satisfaction and engagement in their ventures. The present investigation evaluated the antecedents of women's entrepreneurial satisfaction by examining 405 women entrepreneur participants using confirmatory factor analysis and cluster analysis techniques. This study comprises only micro and small businesses of women. The non-monetary determinants emerged out as the significant determinants of satisfaction of women entrepreneurs. The results revealed four clusters of women entrepreneurs based on motivational theory such as micro-achievers, entrepreneurial team, liberal and socialist feminism and optimism. The results also indicated that the clusters of women entrepreneurs' respond distinctively towards various dimensions of entrepreneurial satisfaction, i.e., quality of married life, overall venture satisfaction, achieved innovation, achieved freedom, team orientation, achieved recognition and identity and achieved employee trust. 2022 Inderscience Enterprises Ltd. -
Linking supply chain resilience with knowledge management for achieving supply chain performance
Purpose: Supply chain (SC) and knowledge management (KM) have been studied; still, there is a need to understand how KM can be used for SC resilience and improving the firms performance. The purpose of the paper is to study and analyze SC resilience strategies based on KM processes to enhance SC performance considering six SC strategies: SC reengineering, collaboration, SC innovation, SC integration, SC agility and SC risk management. Design/methodology/approach: By adopting the dynamic capability theory, the empirical research is conducted on a sample of 312 Indian micro, small to medium enterprises. To evaluate 312 samples, the structural equation modeling approach is adopted. Findings: The study found a is a positive relationship between SC reengineering, SC collaboration, SC integration, SC agility, SC risk management and KM. Nevertheless, the relationship between SC innovation and KM is not significant. This study also found the mediating effect of KM on SC performance, and the results shows that SC reengineering, SC collaboration, SC agility and SC risk management are having complementary mediation, while SC innovation and SC integration did not show any mediation. Originality/value: This is the only research that integrates resilience strategies and KM for improving SC performance. Using KM, SC reengineering will improve SC performance by enhancing readiness and recovery strategies to avoid SC disruption. KM will improve SC collaboration. It will enhance the SC process overall visibility, transparency and so on. Agility leads to increased speed, visibility and flexibility, which aids in dealing with uncertainty in the environment. SCRM entails investments and additional resources (such as equipment and labor) to navigate uncertainty and risks in the SC and improve SC performance. 2023, Emerald Publishing Limited. -
Linking the Path to Zero Hunger: Analysing Sustainable Development Goals Within the Context of Global Sustainability
A global framework, the Sustainable Development Goals of the United Nations, are designed to tackle the most urgent global issues. SDG 2, which stands for Zero Hunger, demonstrates a robust interconnection with the remaining seventeen goals since achieving food security and improved nutrition requires an all-encompassing approach that addresses the interconnected challenges presented by poverty, health, education, gender equality, climate change, and sustainable resource management. Within this framework, the research endeavors to ascertain the interrelationships among SDG 2 and other goals and analyze the critical goals that drive the achievement of SDG 2. Furthermore, the study provides an exhaustive analysis of the positions adopted by different nations concerning SDG 2. The results indicate that the SDGs are interconnected; while SDG 2 is closely linked to several other SDGs, their respective impacts differ. Furthermore, it has been determined that policies are crucial to attaining the SDGs. Without a transformation in agri-food systems that enhances resilience and facilitates the provision of affordable, nutritious foods and healthy diets, the current state of affairs will persist. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Linking the Path to Zero Hunger: Analysing Sustainable Development Goals Within the Context of Global Sustainability
A global framework, the Sustainable Development Goals of the United Nations, are designed to tackle the most urgent global issues. SDG 2, which stands for Zero Hunger, demonstrates a robust interconnection with the remaining seventeen goals since achieving food security and improved nutrition requires an all-encompassing approach that addresses the interconnected challenges presented by poverty, health, education, gender equality, climate change, and sustainable resource management. Within this framework, the research endeavors to ascertain the interrelationships among SDG 2 and other goals and analyze the critical goals that drive the achievement of SDG 2. Furthermore, the study provides an exhaustive analysis of the positions adopted by different nations concerning SDG 2. The results indicate that the SDGs are interconnected; while SDG 2 is closely linked to several other SDGs, their respective impacts differ. Furthermore, it has been determined that policies are crucial to attaining the SDGs. Without a transformation in agri-food systems that enhances resilience and facilitates the provision of affordable, nutritious foods and healthy diets, the current state of affairs will persist. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Lipase and lactic acid bacteria for biodegradation and bioremediation
Bioremediation is a biotechnological process in which environmental pollutants and solid wastes can be degraded using microbial action to provide a clean free environment without hazards. The process employs microorganisms such as bacteria and fungi for the degradation of wastes. The microbial activity in the bioremediation process degrades the environmental pollutants that are harmful to human health and converts them into less toxic or nontoxic forms. The process mainly focuses on the removal of many types of hazardous materials present in the soil, water, and atmosphere. Microorganisms, especially bacteria, receive great attention in bioremediation as they can mineralize the toxic wastes into other products, such as biomass and water, and make them nonhazardous at times. The activity is not limited only to the degradation of organic wastes, it also degrades crude oil spills in oceans, pesticides, and other industrial wastes. Lactic acid bacteria, Lactobacillus species are Gram-positive and occur mostly in milk and other such products that are highly useful for the human health. They also provide valuable products in the form of foodstuffs for human. Recent findings have shown that the lactic acid bacteria have a better capability to degrade most of the organic wastes and also other industrial contaminations such as dyes. Bioremediation process itself has different methods, such as biosparging and bioventing, grouped as ex situ methods, in which the degradation of wastes can be possible in bioreactors, while on the other hand, in situ methods take place at the site of the pollution or contamination by the microbial growth. 2022 Elsevier Inc. All rights reserved. -
Lipase-catalyzed resolution of 1-[4-(benzyloxy)phenyl]hex-5-en-3-ol: Synthesis of (-)-centrolobine
A practical and efficient method for the preparation of homoallylic alcohol and its successful enzymatic resolution has been developed. This lipase-catalyzed resolution process has been optimized with respect to different lipases and solvents. Moreover, Mitsunobu strategy has been applied to recover the unwanted isomer. Further optically enriched homoallylic alcohol has been employed for the synthesis of (-)-centrolobine. 2017, Chemical Publishing Co. All rights reserved. -
Lipase-Catalyzed Resolution Of 1-[4-(Benzyloxy)phenyl]hex-5-en-3-ol: Synthesis of (-)-Centrolobine /
Asian Journal Of Chemistry, Vol.29, Issue 10, pp.2321-2326, ISSN: 0975-427X (Online) 0970-7077 (Print). -
Liquid Crystal as a Potential Biosensing Material
Liquid crystal (LC) biosensors are based on the mechanism of ordering transformations of LC molecules. Because of the anisotropic nature of LC molecules, LC has an extraordinary response to external stimuli and has highly responsive optical properties. The elastic force between LC molecules helps them for their orderly arrangement, which changes in response to a multitude of external stimuli such as temperature, adding biomolecules, and applying electric and magnetic fields. LC biosensors can be classified into LC-solid, LC-aqueous, and LC-droplet interface biosensors based on the LC-interaction surfaces. LC biosensors can detect target molecules such as nucleic acid, proteins, amino acids, and glucose. Aptamer-based LC biosensors have also been developed because of their high sensitivity. The advantage of LC in making a label-free biosensor lies in the fact that it requires minimal instrumentation, which heavily reduces the expense. There, it is one of the most promising types of biosensing techniques that are being developed. 2025 Scrivener Publishing LLC. -
Liquid gold: assessing groundwater quality at the historic Kolar gold fields, Karnataka, India
To assess ecological sustainability and resilience, it is necessary to periodically examine various ecological properties in areas with high pollution and contaminant risks. Kolar Gold Fields (KGF) in Kolar, Karnataka, showcases one of India's most contaminated zones because of the extensive gold mining and its lingering effects. In KGF, the quality of groundwater has been severely reduced as there exist extensive mining tailings, locally referred to as cyanide dumps, which have been neglected for several preceding years without proper disposal strategies. The current approach focuses on the water pollution caused by heavy metal deposits in the KGF region. Groundwater samples were sampled from Oorgam, an abandoned region in KGF, and subsequently filtered for water quality examinations. The investigation documented concentrations of several metals, including cadmium (0.068 0.0024 ppm), lead (0.288 0.0016 ppm), nickel (0.058 0.0047 ppm), and chromium (0.23 0.0235 ppm) and have met the standard specifications in accordance with World Health Organization (WHO). Prominent pH disparity was documented amongst the experimental samples, with a detectable pH drop in the aqua-purified water in comparison to the positive control. The test results imply that the water samples collected from KGF remain unpotable for consumption or irrigation due to the persistence of high levels of heavy metal concentration. This study underscores the urgent requirement for a remedial approach to ensure water safety for drinking and irrigation in the area. 2025 Brawijaya University. All rights reserved.