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Heat transport of hybrid nanomaterial in an annulus with quadratic Boussinesq approximation
The convective heat transfer of hybrid nanoliquids within a concentric annulus has wide engineering applications such as chemical industries, solar collectors, gas turbines, heat exchangers, nuclear reactors, and electronic component cooling due to their high heat transport rate. Hence, in this study, the characteristics of the heat transport mechanism in an annulus filled with the Ag-MgO/H2O hybrid nanoliquid under the influence of quadratic thermal radiation and quadratic convection are analyzed. The non-uniform heat source/sink and induced magnetic field mechanisms are used to govern the basic equations concerning the transport of the composite nanoliquid. The dependency of the Nusselt number on the effective parameters (thermal radiation, nonlinear convection, and temperature-dependent heat source/sink parameter) is examined through sensitivity analyses based on the response surface methodology (RSM) and the face-centered central composite design (CCD). The heat transport of the composite nanoliquid for the space-related heat source/sink is observed to be higher than that for the temperature-related heat source/sink. The mechanisms of quadratic convection and quadratic thermal radiation are favorable for the momentum of the nanoliquid. The heat transport rate is more sensitive towards quadratic thermal radiation. 2021, Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature. -
Significance of variable fluid properties on hybrid nanoliquid flow in a micro-annulus with quadratic convection and quadratic thermal radiation: Response surface methodology
Many engineering and manufacturing processes such as heat storage systems, nuclear power plants, and heat exchangers operate at high temperatures. The temperature gradient in these systems is significantly large so that the transport properties of the fluid are significantly influenced. In such cases considering the constant thermophysical properties for ambient liquid and adopting linear Boussinesq approximation become insignificant. Therefore, in this study, the quadratic convective flow of water-based Ag-MgO hybrid nanoliquid in a micro-annulus with variable viscosity and thermal conductivity is investigated under the temperature jump and velocity slip auxiliary conditions. The effects of quadratic Boussinesq approximation and quadratic Rosseland radiative heat are also addressed. The correlation for effective viscosity and thermal conductivity are modeled by employing the experimental work of Esfe and his collaborators (so-called Esfe Model). The nonlinear dimensionless governing equations are solved numerically using the finite difference method. Further, the sensitivity analysis using response surface methodology (RSM) is performed to enhance the understanding of heat transport behavior. The significance of various flow parameters involving in the current problem is analyzed through 2D and 3D-surface plots. This study portrays that the consequence of quadratic convection, velocity slip, and variable viscosity aspects are positively related to the growth of the momentum layer structure. The heat transport rate is found to be more dominated by quadratic radiation compared to the addition of nanoparticles and temperature variation aspect. The variable viscosity, quadratic convection, and quadratic thermal radiation mechanisms lead to higher skin friction. The thermal layer structure augments with the temperature variation aspect. Furthermore, the sensitivity of the Nusselt number to the addition of nanoparticles and quadratic radiation is always positive. 2021 Elsevier Ltd -
Sensitivity analysis of nonlinear radiated heat transport of hybrid nanoliquid in an annulus subjected to the nonlinear Boussinesq approximation
The main emphasis of the current study is to analyze the novel feature of the quadratic convective and nonlinear radiative flow of MHD hybrid nanoliquid (CuAl2O3H2O) in an annulus with sensitivity analysis. The significance of exponential space-related heat source, movement of annuli and a new radiation parameter corresponding to an asymptotic nature are also comprehended in the existing study. The dimensionless governing nonlinear equations are treated numerically by employing shooting technique. Impact of effective parameters on the flow and heat transport features has been scrutinized. The optimization procedure is implemented to analyze the influence of three effective parameters (1.5?Rf?5.5,1?QE?3and1%??Cu?3%) on skin friction and Nusselt number by utilizing response surface methodology and sensitivity analysis. The obtained results portray that the nonlinear convection parameter is more favorable for the skin friction coefficient. Further, a comparison of sensitivity depicts that the skin friction coefficient is more sensitive to Rf and QE, whereas Nusselt number is more sensitive to ?Cu. 2020, Akadiai Kiad Budapest, Hungary. -
Optimization and sensitivity analysis of heat transport of hybrid nanoliquid in an annulus with quadratic Boussinesq approximation and quadratic thermal radiation
The quadratic convective flow of hybrid nanoliquid in an annulus subjected to quadratic thermal radiation is studied for the first time. The impact of suction/injection and the uniform movement of the rings are considered. Nonlinear equations are handled numerically by adopting the shooting technique. An optimization procedure is performed by using response surface methodology. The maximum heat transport is observed for chosen values of effective parameters (thermal radiation parameter (5 ? Rt? 15) , temperature ratio parameter (1.1 ? ?w? 5.1) and nanoparticle volume fraction of copper (1 % ? ?Cu? 3 %)) at three different levels (low(? 1), middle(0) and high(+ 1)). In addition, a slope of the data point is evaluated for the friction coefficient and the Nusselt number. The results showed that the impact of quadratic thermal radiation on velocity and temperature distributions is more significant than linear thermal radiation. Further, an increase in quadratic convection and quadratic thermal radiation leads to an improvement in the friction coefficient of the skin on the inner surface of the outer annulus. Furthermore, the sensitivity of the friction coefficient is positive for the appearance of quadratic thermal radiation. 2020, SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature. -
Nonlinear Boussinesq buoyancy driven flow and radiative heat transport of magnetohybrid nanoliquid in an annulus: A statistical framework
The effect of nonlinear Boussinesq buoyancy force on the flow of Cu-Al2O3-H2O hybrid nanoliquid in a vertical annulus, which is adjacent to the radial magnetic field and thermal radiation, is analyzed through a statistical approach. The phenomena of movement of annuli are taken into account. The aspect of nonlinear density temperature is also accounted based on nonlinear Boussinesq approximation (NBA). The exact solution is obtained for the two-point boundary value problem comprised dimensionless governing equations. The skin friction coefficient and Nusselt number expressions are also estimated. The impacts of various physical parameters on the velocity, temperature, skin friction coefficient, and Nusselt number distributions are analyzed. The statistical techniques, such as correlation coefficient, probable error, and a multivariate regression model, are employed for the detailed analysis. It is found that the NBA is favorable for the skin friction coefficient and the rate of heat transfer. The maximum heat transfer is found on the wall of the internal annuli. 2020 Wiley Periodicals LLC -
Universal vortex statistics and stochastic geometry of Bose-Einstein condensation
The cooling of a Bose gas in finite time results in the formation of a Bose-Einstein condensate that is spontaneously proliferated with vortices. We propose that the vortex spatial statistics is described by a homogeneous Poisson point process (PPP) with a density dictated by the Kibble-Zurek mechanism (KZM). We validate this model using numerical simulations of the two-dimensional stochastic Gross-Pitaevskii equation (SGPE) for both a homogeneous and a hard-wall trapped condensate. The KZM scaling of the average vortex number with the cooling rate is established along with the universal character of the vortex number distribution. The spatial statistics between vortices is characterized by analyzing the two-point defect-defect correlation function, the corresponding spacing distributions, and the random tessellation of the vortex pattern using the Voronoi cell area statistics. Combining the PPP description with the KZM, we derive universal theoretical predictions for each of these quantities and find them in agreement with the SGPE simulations. Our results establish the universal character of the spatial statistics of point-like topological defects generated during a continuous phase transition and the associated stochastic geometry. 2024 authors. Published by the American Physical Society. -
The impact of entrepreneurship on the resilience of remote rural communities: Transforming challenges into opportunities
Entrepreneurship has a long history associated with economic development, innovation, and social transformation. Its value is more heightened in remote rural communities where some traditional economic sectors like agriculture, forestry, or fishing are primarily practiced but insufficient to ensure continued sustainable development in such areas. This chapter discusses how entrepreneurship is very crucial in ensuring the resilience of remote rural areas. It utilizes a comprehensive review of academic literature, journals, and research papers. Entrepreneurship is a crucial motor for strengthening the resilience of remote rural populations. Through the stimulation of economic stability, the creation of social cohesion, and the fostering of adaptive capacity, it provides an entry road to sustainable development. However, there is a strong need to resolve the unique problems that rural entrepreneurs face and have an ecosystem to foster innovation and growth. 2025, IGI Global Scientific Publishing. -
Exploratory Analysis of Anthropometric and Demographic Factors Influencing PCOS: A Study on BMI, Weight, and Waist Ratio
Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive age, often leading to hormonal imbalances, obesity, and an increased risk of metabolic and cardiovascular diseases. This study examines the impact of PCOS on anthropometric and demographic variables such as Body Mass Index (BMI), weight, height, and waist ratio, using a comprehensive dataset. By comparing these factors between individuals with and without PCOS, the study aims to identify significant differences and correlations, thereby contributing to a deeper understanding of PCOS and informing clinical management strategies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Human Resource (HR) Analytics and Its Modus OperandiAn Explorative Study
People management immensely benefited from predictive HR analytics that provide deeper insight into employee data for effective decision-making. HR analytics has contributed to formulating and implementing data-driven strategies across various industries and organizations. The main objective of this conceptual paper is to explain the concept of HR analytics and describe its modus operandi. We reviewed the literature on various facets of HR analytics from 2016 to 2024. We have explained the modus operandi of HR analytics through the key aspects of strategic HRM. This paper is significant because HR analytics is evolving as a more technical discipline with modern technologies such as machine learning and artificial intelligence. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Microstructural evolution and wear characteristics of equal channel angular pressing processed semi-solid-cast hypoeutectic aluminum alloys
This work investigated the microstructural evolution of Al-7Si-Mg alloy cast semi-solid using a cooling slope as well as conventional casting followed by equal channel angular pressing (ECAP) in a 120 die. Feed materials were prepared for ECAP by cooling slope casting and by conventional casting. The microstructure of the processed alloys extruded was observed by optical microscope and by transmission electron microscope, and their hardness and wear resistance were evaluated. After ECAP processing, the primary ?-Al phase tended to be elongated while the Si particles became fragmented and more nearly globular in shape and uniform in size than in the as-cast sample. The microstructure of the cooling slope-cast ECAPed samples was more homogenous than that of the conventionally cast ECAPed sample. The ?-Al phase sub-grains were refined to sub-micrometer sizes for samples cast by both methods after ECAP. The hardness of the cooling slope-cast ECAPed sample was also higher than that of the conventionally cast ECAPed sample. The wear resistance of the alloy improved after cooling slope casting and ECAP processing. 2014 The Authors. -
Digital sustainability models integrating AI for enhanced business and environmental performance
In digital sustainability, it explores AI's transformative role with economic growth coming hand in hand with stewardship of the environment. Industry-specific case studies have been covered within energy, manufacturing, and logistics, covering issues of resource optimization, emission reductions, and circular economy practices-all factored into here. Covered are challenges along data privacy lines, AI bias, and ethics trade-offs plus scalable frameworks, public-private partnerships, and policy recommendations. Potential AI support for SDGs helps envision the potential of such systems in helping sustain resilient, sustainable businesses. Introducing AI helps organizations innovate toward environmental responsibility and work toward a sustainable future by global collective efforts. 2025 by IGI Global Scientific Publishing. All rights reserved. -
The effect of celebrity trustworthiness on endorsement effectiveness: A comparison of congruence and hybrid model /
Vision, Vol.23, Issue 3, pp.275-286 -
Effect of ethnocentrism and attitude towards foreign brands in purchase decision /
Vision, Vol.24, Issue 3, pp. 1-10 -
Quantum tunneling rotor as a sensitive atomistic probe of guests in a metal-organic framework
Quantum tunneling rotors in a zeolitic imidazolate framework ZIF-8 can provide insights into local gas adsorption sites and local dynamics of porous structure, which are inaccessible to standard physisorption or x-ray diffraction sensitive primarily to long-range order. Using in situ high-resolution inelastic neutron scattering at 3 K, we follow the evolution of methyl tunneling with respect to the number of dosed gas molecules. While nitrogen adsorption decreases the energy of the tunneling peak, and ultimately hinders it completely (0.33 meV to zero), argon substantially increases the energy to 0.42 meV. Ab initio calculations of the rotational barrier of ZIF-8 show an exception to the reported adsorption sites hierarchy, resulting in anomalous adsorption behavior and linker dynamics at subatmospheric pressure. The findings reveal quantum tunneling rotors in metal-organic frameworks as a sensitive atomistic probe of local physicochemical phenomena. 2023 authors. Published by the American Physical Society. -
Reflective thinking in school: a systematic review
Everything around us changes rapidly and to adapt to these constantly changing conditions and to understand the meaning of our life in the society in which we live, we must reflectively and consciously think about our actions in each given scenario. A school is a miniature form of society where learners are exposed to situations where they need to find solutions for every problem faced. No faultless solution and conclusions can be arrived at without a carefully employed reflective thinking process. In this context, the present study reviewed 19 intervention studies on reflective thinking in schools published between 2010 and 2021 and presents a brief summary. Various theories on reflective thinking, approach of educationists on reflective thinking of students and the relation between reflective thinking and students academic performance, are extensively analyzed. The findings of the study reveal that there are a few generally accepted theories of reflective thinking; reflection is a useful learning strategy and reflective thinking is an essential characteristic of academic excellence. This study recommends future research with a wider scope to accommodate more theoretical perspectives and wide-ranging databases. 2024, Institute of Advanced Engineering and Science. All rights reserved. -
Empowered learning in school: A scoping review
A high degree of motivation, a sense of commitment, self-efficacy and the ability to make the right choices are the characteristics of empowered learners. With education being seen as preparation for life, educators are increasingly pressured to develop curriculum and pedagogy that assist learners to become empowered. Based on the theoretical framework developed by Arksey and OMalley, the present study reviewed 16 empowered learning intervention studies at the school level published between the years 1995 and 2021 as well as provides an extensive summary of empowered learning enhancing interventions conducted in schools. This study highlights the concept of empowered learning, features and scope of interventions directed towards empowered learning of students at schools and the role of empowered learning in schools. Notwithstanding varied intervention results, the findings of this study indicate that empowered learning interventions produce highly motivated students with a sense of commitment and self-efficacy. This review also identifies the need for more pure experimental studies and a commonly accepted theory on empowered learning as a single concept. 2023, Institute of Advanced Engineering and Science. All rights reserved. -
An AI-enabled research support tool for the classification system of COVID-19
The outbreak of COVID-19, a little more than 2 years ago, drastically affected all segments of society throughout the world. While at one end, the microbiologists, virologists, and medical practitioners were trying to find the cure for the infection; the Governments were laying emphasis on precautionary measures like lockdowns to lower the spread of the virus. This pandemic is perhaps also the first one of its kind in history that has research articles in all possible areas as like: medicine, sociology, psychology, supply chain management, mathematical modeling, etc. A lot of work is still continuing in this area, which is very important also for better preparedness if such a situation arises in future. The objective of the present study is to build a research support tool that will help the researchers swiftly identify the relevant literature on a specific field or topic regarding COVID-19 through a hierarchical classification system. The three main tasks done during this study are data preparation, data annotation and text data classification through bi-directional long short-term memory (bi-LSTM). Copyright 2023 Tiwari, Bhattacharjee, Pant, Srivastava and Snasel. -
Technologies in Transportation Engineering
Deteriorating quality of the air, traffic congestions, and rising accident rates have all resulted from an ever-increasing number of vehicles in Indian cities. As a result of a variety of issues, current public transit systems often fall short or are considered unreliable. The present paper deals with multiple ITS architecture and to be specific four major parts of the ITS. These four major parts are Advanced Public Transportation System (APTS), Advanced Traveler Information System (ATIS), Advanced Traffic Management System (ATMS), and Emergency Management System (EMS). Thus, the framework and produced models of four key divisions of ITS have been evaluated in order to conduct a comparative study of the many models currently being developed in respective investigations. 2022 IEEE. -
A framework for natural resource management with geospatial machine learning: a case study of the 2021 Almora forest fires
Background: Wildfires have a substantial impact on air quality and ecosystems by releasing greenhouse gases (GHGs), trace gases, and aerosols into the atmosphere. These wildfires produce both light-absorbing and merely scattering aerosols that can act as cloud condensation nuclei, altering cloud reflectivity, cloud lifetime, and precipitation frequency. Uttarakhand province in India experiences frequent wildfires that affect its protected ecosystems. Thus, a natural resource management system is needed in this region to assess the impact of wildfire hazards on land and atmosphere. We conducted an analysis of a severe fire event that occurred between January and April 2021 in the Kumaun region of Uttarakhand, by utilizing open-source geospatial data. Near-real-time satellite observations of pre- and post-fire conditions within the study area were used to detect changes in land and atmosphere. Supervised machine learning algorithm was also implemented to estimate burned above ground biomass (AGB) to monitor biomass stock. Results: The study found that 21.75% of the total burned area burned with moderate to high severity, resulting in a decreased Soil Adjusted Vegetation Index value (> 0.3), a reduced Normalized Differential Moisture Index value (> 0.4), and a lowered Normalized Differential Vegetation Index (> 0.5). The AGB estimate demonstrated a significant simple determination (r2 = 0.001702) and probability (P < 2.2 10?16), along with a positive correlation (r ? 0.24) with vegetation and soil indices. The algorithm predicted that 17.56 tonnes of biomass per hectare burned in the Kumaun forests. This fire incident resulted in increased emissions of carbon dioxide (CO2; ~ 0.8 10?4kgcarbonh?1), methane (CH4; ~ 200 10?9mol fraction in dry air), carbon monoxide (CO; 2000 1015moleculescm?2 total column), and formaldehyde (HCHO; 3500 1013moleculescm?2 total column), along with increased aerosol optical thickness (varying from 0.2 to 0.5). Conclusions: We believe that our proposed operational framework for managing natural resources and assessing the impact of natural hazards can be used to efficiently monitor near-real-time forest-fire-caused changes in land and atmosphere. This method makes use of openly accessible geospatial data that can be employed for several objectives, including monitoring carbon stocks, greenhouse gas emissions, criterion air pollution, and radiative forcing of the climate, among many others. Our proposed framework will assist policymakers and the scientific community in mitigating climate change problems and in developing adaptation policies. The Author(s) 2024. -
E-service quality-impact on customer satisfaction
The paper aims to determine the impact of e-service quality on customer satisfaction. The study utilised data from 252 customers of private and public banks in India through questionnaires. It was found that the e-service quality has significant impact on customer satisfaction in public sector banks as well as private sector banks. 2019 SERSC.