Browse Items (16481 total)
Sort by:
-
Industry 5.0: HumanAI Symbiosis in Motion-Controlled Logistics and Management
Industry 5.0 is a paradigm shift in favors of resiliency, personalization, and sustainability in the logistics and management industry based on automation-driven efficiency and human-AI symbiosis. Beyond the Abstract: Human and Machine Performance with Motion Control Systems and Collaborative Interactive Spaces Based on resources that facilitate decision-making through predictive understanding to automation of movement control to coordinate transport and warehouse robots to be more versatile, AI does not only increase robot functions, but also far more efficiently increases the productivity of the warehouse. Together they are re-inventing logistics as smart and people FIRST ecosystems that can respond to volatility and disruption. The chapter highlights the conceptual foundations, theoretical foundations, empirical research and case studies as well as presents Industry 5.0 as a roadmap to next-generation and people-centred logistics and management systems. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Navigating network security: A study on contemporary anomaly detection technologies
In an era that has been overtaken by digital connectivity, the fact that networks are the center of modern commerce and the operation of life is more than ever evident. And it stands to reason that ensuring proper management of these networks is cardinal especially during the explosion of network attacks and cybersecurity incidents. Security of networks is a high priority, and system intrusion detection is one of the most important tools used for this purpose. The paper discusses various approaches that operate from the classical clustering techniques to the cutting-edge methods integrating blockchain, autoencoders, and graph neural networks. The advised technique supports a holistic and formative model that integrates the contributions of the already accumulated literature. The approach involves combining techniques from various domains such as cloud security, machine learning, and intrusion detection systems. Research is summed up by pinpointing the key emphasis taken to deal with the dynamic nature of network security through cross-functional thinking, offering the prospect of the future in the face of dynamic cyber threats. 2025 Scrivener Publishing LLC. All rights reserved. -
Role of Bacillus thuringiensis in development of transgenic plants
One of the most significant advancements in plant biotechnology has been the production of genetically engineered plants. Due to the effects of pests damaging the majority of crops, the development of pest immunity was necessary for crop preservation. Plants that have had their gene makeup altered in-utero, such as Bacillus thuringiensis, which has insecticidal properties and helps protect crops from pests, are referred to as "genetically modified plants." Cry proteins, which are poisonous proteins that exist in the state of crystals, are the major genes responsible for the development of transgenic plants. Based on the effect of different pest species, cry proteins are divided into many categories. Since they are extremely specific by nature and only affect the target proteins, they are considered environmentally beneficial pesticides since they have no impact on the physiologically significant soil bacteria or other bacterial flora. These cry proteins stay as dormant crystals, but when a pest consumes plants, the inactive form of the crystals becomes active in the alkaline stomach pH of the microorganism, aiding in the rupture of the gut epithelium and ultimately causing the microorganism to die. These days, transgenic plants have been created, including BT corn, BT rice, sugarcane, brinjal, potato, tomato, and many more, it was also discovered that using these transgenic plants increased crop productivity. Transgenic plants can prevent several ecological issues associated with traditional pesticides, including the emergence of resistance, their toxicity to non-target living things, and the buildup of toxic waste in the environment. 2023 Horizon e-Publishing Group. All rights reserved. -
Role of corporate innovation and uncertainty in determining corporate investment of the firm: does financial constraint, executive risk preference and firm risk-taking ability play any role
Purpose: This paper aims to investigate the relationship between corporate innovation and the firms corporate investment. Further, the authors begin with the assertion that the relationship between corporate innovation and corporate investment is impacted by significantly a) uncertain periods, b) financial constraint, c) executives risk preference and d) firm risk-taking ability. Design/methodology/approach: This study has considered non-financial listed companies (774 firms) for the period spanning from 20102022. The authors use a fixed effect regression model within a panel data framework to examine the relationship between corporate innovation and investment. For robustness, the authors use system generalised methods of moments to investigate the relationship between corporate investment and corporate innovation across all the samples. Findings: This study finds a positive relationship between corporate innovation and corporate investment, which means when the firm tries to make some innovation, it will increase its expenditure on fixed assets. However, the positive relationship between corporate innovation and corporate investment reduces with uncertainty. Additionally, financial constraint plays a significant role in determining this relationship. Executives and firms with high risk-taking ability tend to be more inclined to make investments. Originality/value: The study is unique because it determines the impact of corporate innovation on corporate investment. The current literature is focused on corporate innovation and uncertainties. However, no light has been shed on the relationship between corporate innovation and investment. At the same time, the authors have introduced three more variables which play a significant role in determining the corporate innovation-investment relationship. , Emerald Publishing Limited. -
Cattaneo-Christov Theory to model heat flux effect on nanoliquid slip flow over a spinning disk with nanoparticle aggregation and Hall current
The heat transport of a nanoliquid on a spinning disk with velocity slip and thermal jump boundary conditions is modeled. The effects of external magnetism and the aggregation of nanoparticles are analyzed. The Cattaneo-Christov heat flux model and the Joule heating phenomenon are incorporated in the thermal analysis. The central composite design (CCD) of the response surface methodology is implemented to optimize heat transfer in the nanoliquid. The sensitivity of the heat transport is analyzed. The partial differential governing model is converted into a system of ordinary differential equations using a novel von Karmans transformation, the consequent system is solved numerically. The significance of physical operating parameters is analyzed through a detailed parametric study. Optimal levels of Hall parameter, Hartmann number, and Eckert number, that optimize the heat transport are determined. The Lorentz force expands the structure of the thermal layer and subsequently reduces the heat transport of the system. The Hall current improves the thickness of the velocity layer in the radial direction, while the thickness of the thermal layer is reduced. Viscous dissipation improves the thickness of the thermal boundary layer. The isothermal boundary condition causes less heat transport in the system than the temperature jump condition. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Nanofluid flow past a vertical plate with nanoparticle aggregation kinematics, thermal slip and significant buoyancy force effects using modified Buongiorno model
The flow of ethylene glycol-based titania nanoliquid passing through a vertical plate induced by significant buoyancy forces (nonlinear convection) is analyzed with quadratic thermal radiation and considering the aggregation kinematics of the nanoparticles. The nanoliquid is modeled accounting for thermo-migration, Brownian motion, and the effectual thermophysical properties. The realistic zero mass flux and thermal slip conditions are considered on the surface of the plate. In addition, the mechanisms of exponential space-related heat source (ESHS) and thermal-based heat source (THS) are incorporated. The finite-difference technique-based bvp5c routine is used to obtain the numerical solution of thenonlinear system of equations. The effects of the parameters are examined on the dimensionless profiles of velocity, temperature, heat transport rate, the volume fraction of nanoparticles, and streamlines. It was found that the aggregation of nanoparticles significantly advances the temperature field while the velocity field is reduced. The ESHS and THS modulations improve the thickness of the thermal boundary layer. The quadratic thermal convection aspect improves the velocity of nanoliquid. Furthermore, the effects of quadratic thermal radiation assist the growth of the thermal boundary layer. The present results are relevant to various thermal systems including flat plate solar collectors, heat exchangers, and nuclear reactors. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Boundary layer flow of magneto-nanomicropolar liquid over an exponentially elongated porous plate with Joule heating and viscous heating: a numerical study
Micropolar fluids are used in lubrication theory, thrust bearing technologies, cervical flows, lubricants, paint rheology, and the polymer industry. This study develops the numerical simulation of the magneto-Darcy flow of a polarized nanoliquid with Joule heating and viscous heating mechanisms on an exponentially elongated surface. The effects of linearized Rosseland radiation and temperature-dependent heat generation are considered. The flow is generated by an exponential form of elongation of a flexible sheet. The porous matrix and nanoparticle effects are characterized by the Darcy expression and the two-component Buongiorno model correspondingly. The resulting partial differential systems are solved numerically using the RungeKutta-based shooting technique to interpret the importance of key parameters in physical quantities. A direct comparison is made to validate the results. Our results demonstrated that arbitrary movement of the nanoparticles significantly advances the temperature profile by reducing the concentration of nanoparticles. Both Joule heating and viscous heating mechanisms improve the structure of the thermal boundary layer. The porous matrix reduces the velocity of the nanoliquid and thus the width of the velocity boundary layer is reduced. 2021, King Fahd University of Petroleum & Minerals. -
Significance of aggregation of nanoparticles, activation energy, and Hall current to enhance the heat transfer phenomena in a nanofluid: a sensitivity analysis
The mechanisms involved in the heat transport enhancement due to suspended nanoparticles are still unclear. Many studies have shown that nanoparticle aggregation is a key aspect of increasing nanofluid thermal conductivity. Nevertheless, the fractal dimension of nanoparticle aggregation will have a substantial impact on the nanofluids thermal conductivity. Therefore, the present study examines the influence of nanoparticle aggregation and Hall current on the nanoliquid flow past a spinning disk. The importance of Arrhenius activation energy is also investigated. A revised correlation for the aggregation mechanism is attained using the modified Krieger-Dougherty model (KD-model) and the Maxwell-Bruggeman model (MB-model). A similarity technique and finite difference method are used to construct the numerical solutions for the boundary value problem. The 2D plots and 3D surface plots are shown to investigate how different key parameters impact the velocity, temperature, and concentration fields. The study highlights that the Hall current has a beneficial effect on the fluid flow field. Higher activation energy leads to a productive chemical reaction which, improves the concentration layer. The thermal boundary for NPs aggregationis superior than to that withoutNPs aggregation, and the suspension of nanoparticles will have a favorable impact on the thermal layer. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Multiple solutions and stability analysis in MHD non-Newtonian nanofluid slip flow with convective and passive boundary condition: Heat transfer optimization using RSM-CCD
This study explores the effect of Williamson nanofluid in the presence of radiation and chemical reaction caused by stretching or shrinking a surface with convective boundary conditions. After implementing two-component model and Lie group theory, the transformed ODEs are solved using the RungeKutta DormandPrince (RKDP) shooting approach technique. The dual solutions are predicted for certain range of physical nanofluid parameters, such as Williamson parameter ((Formula presented.)), stretching/shrinking parameter ((Formula presented.)), and suction parameter ((Formula presented.)) with different slip (Formula presented.) and magnetic M parameters. Contour plots are generated for the stable branch of the Nusselt number ((Formula presented.)) for different combinations, providing insights into the heat transfer characteristics. The eigenvalue problem is solved in order to predict flow stability. The optimization of heat transfer in nanoliquid is conducted by RSM-CCD. The resulting quadratic correlation enables the prediction of the optimal Nusselt number for (Formula presented.), (Formula presented.), and (Formula presented.). This investigation is motivated by various applications including manufacturing processes, thermal management systems, energy conversion devices, and other engineering systems where efficient heat transfer iscrucial. 2023 Wiley-VCH GmbH. -
Role of corporate innovation and uncertainty in determining corporate investment of the firm: does financial constraint, executive risk preference and firm risk-taking ability play any role
Purpose: This paper aims to investigate the relationship between corporate innovation and the firms corporate investment. Further, the authors begin with the assertion that the relationship between corporate innovation and corporate investment is impacted by significantly a) uncertain periods, b) financial constraint, c) executives risk preference and d) firm risk-taking ability. Design/methodology/approach: This study has considered non-financial listed companies (774 firms) for the period spanning from 20102022. The authors use a fixed effect regression model within a panel data framework to examine the relationship between corporate innovation and investment. For robustness, the authors use system generalised methods of moments to investigate the relationship between corporate investment and corporate innovation across all the samples. Findings: This study finds a positive relationship between corporate innovation and corporate investment, which means when the firm tries to make some innovation, it will increase its expenditure on fixed assets. However, the positive relationship between corporate innovation and corporate investment reduces with uncertainty. Additionally, financial constraint plays a significant role in determining this relationship. Executives and firms with high risk-taking ability tend to be more inclined to make investments. Originality/value: The study is unique because it determines the impact of corporate innovation on corporate investment. The current literature is focused on corporate innovation and uncertainties. However, no light has been shed on the relationship between corporate innovation and investment. At the same time, the authors have introduced three more variables which play a significant role in determining the corporate innovation-investment relationship. , Emerald Publishing Limited. -
The Impact of Corporate Governance Structures on Corporate Investment: Moderating Role of Institutional Quality and Firm Life Cycle
This study delves into the relationship between corporate governance and corporate investment, specifically examining how institutional quality and the different stages of a firms life cycle can influence this relationship. Utilising a panel data framework, the analysis focuses on a sample of 548 non-financial listed Indian companies over the time span from 20102011 to 20222023. An investigation into the relationship between governance and investment is conducted using a fixed-effect regression model. To ensure the reliability of the findings, additional analyses are performed on subsamples, alternative proxies for corporate governance are considered, and a two-step system generalised method of moments approach is utilised. The findings provide strong evidence of a positive correlation between corporate governance and corporate investment, with the quality of institutions further amplifying this impact. In addition, the study uncovers that the impact of governance on investment is more noticeable in the early, expansion and later phases of the companys life cycle. This study stands out for its analysis of the relationship between governance and investment in a developing market, considering the companys life cycle and the institutional quality. 2025 Institute of Public Enterprise -
Climate policy uncertainty and corporate investment: A governance and life cycle approach
This study investigates the relationship between Climate Policy Uncertainty (CPU) and Corporate Investment (CI). Further, assert that better corporate governance reduces the negative impact of climate policy uncertainty on corporate investment. Additionally, we evaluate that the negative impact of CPU on CI varies according to the different life cycle stages of the firm. We utilised the panel data of 548 Indian non- financial listed firms from 2010 to 2023. We use fixed effect regression to examine the relationship between CPU and CI. This paper has the following main conclusions: There is an inverse relationship between CPU and CI, suggesting that corporate investment declines as climate policy uncertainty increases. Furthermore, when considering the moderating effects of firm lifecycle and corporate governance, strong governance practices lessen the detrimental impact of CPU on investment. Additionally, firms react differently to CPU depending on the stage of their lifecycle. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Marketing Mental Wellness in Medical Tourism: A Cross- Cultural Digital Comparison Between Asia and Europe
This chapter explores how Asia and Europe utilize digital marketing to promote mental wellness tourism by blending cultural healing traditions, emotional storytelling, and therapeutic experience design. Through a comparative analysis of India, China, South Korea, Japan, and leading European destinations, it identifies key regional differences in communicating psychological restoration. Asian campaigns emphasize spiritual harmony, sensory immersion, and holistic cultural narratives, whereas European strategies focus on evidence- based wellness, structured therapeutic programs, and nature- assisted emotional recovery. Building on these insights, the chapter introduces the Digital Wellness Marketing Framework, which integrates cultural narrative design, digital storytelling optimization, emotional engagement metrics, and mental wellness ROI. The study contributes both theoretical and practical guidance for designing culturally sensitive, ethical, and emotionally resonant digital marketing strategies in global wellness tourism. 2026, IGI Global Scientific Publishing. -
The Indian Pulsar Timing Array data release 2: I. Dataset and timing analysis
The Indian Pulsar Timing Array (InPTA) employs unique features of the upgraded Giant Metrewave Radio Telescope (uGMRT) to monitor dozens of the International Pulsar Timing Array (IPTA) millisecond pulsars (MSPs), simultaneously in the 300500 MHz and the 12601460 MHz bands. This dual-band approach ensures that any frequency-dependent delays are accurately characterised, significantly improving the timing precision for pulsar observations, which is crucial for pulsar timing arrays. We present details of InPTAs second data release that involves 7 yr of data on 27 IPTA MSPs. This includes sub-banded times of arrival (ToAs), dispersion measures (DM), and initial timing ephemerides for our MSPs. A part of this dataset, originally released in InPTAs first data release, is being incorporated into IPTAs third data release, which is expected to detect and characterise nanohertz gravitational waves (GWs) in the coming years. The entire dataset is reprocessed in this second data release providing some of the highest precision DM estimates so far and interesting solar wind-related DM variations in some pulsars. This is likely to characterise the noise introduced by the dynamic inter-stellar ionised medium much better than the previous release thereby increasing sensitivity to any future GW search. The Author(s), 2025. Published by Cambridge University Press on behalf of Astronomical Society of Australia. -
Artificial Intelligence Driven Integrated Hydraulic and Pneumatic Pressure Control Systems for Advanced Regulation of Shut-off Valves
This study presents the design and implementation of an Integrated Hydraulic and Pneumatic Pressure Control System (IHPPCS), emphasizing the development of advanced regulating and shut-off valves (ARASVs) to improve precision, responsiveness, and operational safety across diverse industrial processes. By synergistically combining the strengths of hydraulic and pneumatic technologies, the proposed system addresses critical limitations of conventional fluid control methods, offering enhanced adaptability under dynamic load conditions. The Advanced Regulating and Shut-Off Valve (ARASV) serves as the system's core component, incorporating precision-engineered mechanismssuch as spring-loaded diaphragms and pistonsto regulate fluid pressure with high accuracy. Regulating valves ensure consistent pressure levels, while shutoff valves function as critical safety devices, instantly isolating flow during overpressure events. This dual-function architecture enhances both performance stability and system protection. Technical analysis of the ARASV design reveals significant advantages, including minimal response time lag, reduced hysteresis, and high repeatability under cyclic operation. The integrated approach enables real-time pressure modulation, improving energy efficiency and reducing mechanical wear. Practical evaluations conducted in simulated industrial environments confirm the superior control, fidelity and reliability of the IHPPCS. The findings underscore the transformative potential of hybrid fluid power systems in next-generation industrial automation. By merging the force density of hydraulic systems with the speed and flexibility of pneumatics, the IHPPCS represents a scalable, intelligent solution for complex pressure control requirements. This research contributes to the advancement of sustainable and intelligent control systems, paving the way for more efficient, safe, and adaptive industrial operations. The Author(s) 2025. -
Artificial Intelligence based Smart Pneumatic Tools for Industrial Applications
This study presents the development and evaluation of a next-generation pneumatic instrument integrated with intelligent technologies aimed at enhancing operational efficiency, adaptability, and sustainability in advanced manufacturing environments. The system features smart sensors, adaptive learning algorithms, and real-time adjustable control mechanisms, enabling it to function effectively under extreme operating conditions. It handles fluid velocities up to 15.2 m/s and pressures as high as 720 kPa, demonstrating robust structural integrity and reliability. Notably, the instrument maintains precise control over material deformation with an accuracy of 0.05 mm, even under mechanical stress levels reaching 180 MPa and at a Reynolds number of 350,000. The embedded smart sensors facilitate instantaneous responsiveness to fluctuations in material behavior, dynamically optimizing both force application and energy efficiency. This results in a significant 30% reduction in power consumption, with operational power decreasing from 280 W in high-pressure scenarios to just 150 W under standard conditions. Furthermore, the tool exhibits superior thermal management, maintaining operational temperatures below 65 C. Its self-calibrating functionality, driven by intelligent algorithms, ensures consistent output, minimized error margins, and enhanced safety over extended use. Compared to traditional electrically driven systems, this intelligent pneumatic tool offers a more sustainable and cost-effective solution by reducing energy demand and extending service life. The integration of advanced sensing and control systems transforms conventional pneumatic tools into adaptive, high-performance devices suitable for modern, eco-conscious manufacturing setups. This research highlights the transformative potential of intelligent pneumatic systems in driving productivity, reducing operational costs, and supporting the transition to greener, more sustainable industrial practices. The Author(s) 2025. -
Transformative Learning, Community and Leadership for Sustainability Action
[No abstract available] -
INVESTIGATION OF ANTECEDENTS AND CONSEQUENCES OF USEFULNESS IN ONLINE TRAVEL COMMUNITIES: THE MODERATING ROLE OF DECISION MAKING STAGE
This study examines the perceived usefulness (PU) of online discourse and the decision-making behavior of users in Online Travel Communities (OTCs). Partial least squares structural equation modeling (PLS-SEM) was used on secondary data available in OTCs in the form of 852 threads to empirically test the proposed integrated model. The antecedents of the perceived usefulness of online travel communities were found to be the argument quality and credibility. These influence the PU of user-generated content significantly and are helpful in information adoption in OTCs. The PU of OTC discourse positively impacts travelers' information adoption and decision-making. The current study offers implications for OTCs and online service providers for enhancing the usefulness of user-generated content in OTCs and social media sites, leading to online information use and travel decision-making. Prior literature has explored the nature and magnitude of the influence of electronic word-of-mouth (eWOM) on information adoption and intention to use information for travel purchases from users' perspectives and has investigated the PU of third-party travel sites. This paper is an effort to examine PU and decision-making by analyzing the User-Generated-Content (UGC) posted by the actual users. 2023 Akdeniz University Publishing House. All rights reserved. -
Adapting palates: A mapping of food neophobia and neophilia in the shift towards sustainable food consumption
This research explores how two different personality traits-neophilia and neophobia-affect people's eating habits and preferences in the context of sustainable gastronomy tourism. Neophilia, which indicates an openness to trying new culinary experiences, contrasts with neophobia, which is defined as a fear of new foods. Data was collected from 234 gastronomy tourists in Bangalore to examine these dynamics. Smart PLS-SEM 4 was utilized for data analysis. The survey investigated the attitudes and behaviours of participants regarding sustainable food practices that they encountered while engaging in gastronomy tourism. The results show that food neophobia significantly improves people's perceptions of food quality, which further had a statistically significant favourable influence on sustainable consumption; it had no significant effect on post-consumption behaviour. The study highlights how vital gastronomy is to improving experiences, preserving local identity, and drawing tourists-particularly in the rapidly growing category of culinary tourism. 2024, IGI Global. All rights reserved.