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Non-linear Dynamics of CuO?MgO?TiO2 ?H2O Ternary Nanofluid Flowing Past a Rotating Cone in the Presence of Thermal Radiation
The flow of ternary nanofluid past a rotating cone has been analysed using the Ternary nanofluid model. The ternary nanofluid is formed by suspending CuO, MgO and TiO2 nanoparticles into water. The nanoparticles that are suspended in the base fluid are assumed to be in the shape of a sphere so that there will be minimum friction between the nanoparticles and the surface as a result this will allow the fluid to flow with less frictional force. Such a characteristic flow finds application in automobiles, production industries, metallurgical process, solar appliances etc. Hence, in order to analyse the heat transfer characteristics of ternary nanofluid, a mathematical model is framed with the help of partial differential equations considering thermal radiation and heat source/sink to achieve realistic results. These equations are further transformed to non-linear differential equations that are solved using RKF-45 technique. The results of this study are interpreted graphically for various parameters corresponding to the fluid flow. The outcomes of this study indicated that the increase in convection enhanced the tangential velocity of the flow and the nanofluid temperature. Whereas, the increase in the thermal slip reduced the tangential flow velocity as well as the temperature of the nanofluid. 2023 L&H Scientific Publishing, LLC. All rights reserved -
Analysis of multilayer convective flow of a hybrid nanofluid in porous medium sandwiched between the layers of nanofluid
AgBr acts as a good sensitizer for titanium oxide, hence TiO2AgBr nanoparticles exhibit high photocatalytic activity which helps decompose methyl orange under visible light irradiation. Methyl orange is a chemical compound that is hard to degrade and has high stability. It is photoreactive and can capture photons from the sun and is highly used as a light harvester in solar cells, hence, it is used in solar applications. In view of this, the present article deals with the analysis of heat transfer in a multilayer flow of two immiscible nanofluids in a vertical channel that finds application in the fields of solar reactors, electronic cooling, and so on. The mathematical model involving the effect of thermal radiation and the presence of heat source is in the form of a system of ordinary differential equations. This system of equations is simplified using the differential transform method-Padapproximant and the resulting equations are solved algebraically. It is observed that the temperature of the coolant does not reach its saturation point faster due to the presence of different base fluids that differ in their thermal conductivity. This helps in maintaining theoptimum temperature of the system. 2021 Wiley Periodicals LLC -
Examination of thermal and velocity slip effects on the flow of blood suspended with aluminum alloys over a bi-directional stretching sheet: the ternary nanofluid model
The flow of a ternary nanofluid through a bi-directionally distending sheet has been analyzed by employing the Casson model. The ternary nanofluid is formed by suspending the aluminum alloys namely (Formula presented.) and (Formula presented.) along with the oxide (Formula presented.) into blood. The nanoparticles that are suspended in the base fluid are assumed to be in the shape of a blade so that the maximum surface of the nanoparticle will be intact with the base fluid and thus will absorb more heat from the surface. Also, the shape of the nanoparticle helps in faster movement within the nanofluid. The flow is further subjected to velocity and thermal slips. With these assumptions, the mathematical model is framed with the help of partial differential equations considering thermal radiation and heat source/sink to achieve realistic results. These equations are further transformed into non-linear differential equations that are solved using the (Formula presented.) technique. The results of this study are interpreted graphically for various parameters concerning fluid flow. It is observed that the fluid flow velocity is ebbed considerably with the increase in Casson parameter and the slips at the boundary have enhanced the corresponding fluid profiles. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Theoretical Study of Convective Heat Transfer in Ternary Nanofluid Flowing past a Stretching Sheet
A new theoretical tri-hybrid nanofluid model for enhancing the heat transfer is presented in this article. This model explains the method to obtain a better heat conductor than the hybrid nanofluid. The tri-hybrid nanofluid is formed by suspending three types of nanoparticles with different physical and chemical bonds into a base fluid. In this study, the nanoparticles TiO2, Al2O3 and SiO2 are suspended into water thus forming the combination TiO2-SiO2-Al2O3-H2O. This combination helps in decomposing harmful substances, environmental purification and other appliances that requires cooling. The properties of tri-hybrid nanofluid such as Density, Viscosity, Thermal Conductivity, Electrical Conductivity and Specific Heat capacitance are defined mathematically in this article. The system of equations that governs the flow and temperature of the fluid are converted to ordinary differential equations and are solved using RKF-45 method. The results are discussed through graphs and it is observed that the tri-hybrid nanofluid has a better thermal conductivity than the hybrid nanofluid. 2022. Shahid Chamran University of Ahvaz, Ahvaz, Iran. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0 license) (http://creativecommons.org/licenses/by-nc/4.0/). -
Influence of non-linear thermal radiation on the dynamics of homogeneous and heterogeneous chemical reactions between the cone and the disk
Purpose: The current work presents a theoretical framework to boost heat transmission in a ternary hybrid nanofluid with homogeneous and heterogeneous reactions in the conical gap between the cone and disk apparatus. Furthermore, the impacts of non-linear thermal radiation on the ternary hybrid nanofluid composed of white graphene, diamond, and titanium dioxide dispersed in water are analyzed. Originality/value: The combination of cone and disk systems is crucial for designing efficient heat exchange devices in the field of biomedical science for various purposes. For instance, in medical devices, the cone-disk apparatus is used to study the flow and heat transfer characteristics for better design and functionality. Hence, a sincere attempt has been made to study the impact of homogeneous and heterogeneous reactions on the nanofluid flow between the cone and disk in the presence of non-linear thermal radiation. Design/methodology/approach: The mathematical model's governing equations are partial differential equations (PDEs) which are then transformed into non-linear ordinary differential equations through appropriate similarity transformations. These transformed resultant equations are approximated by the Runge-Kutta-Fehlberg fourth/fifth order (RKF45) technique. The influence of essential aspects on the flow field, heat, and mass transfer rates was analyzed using a graphical representation. Findings: The interesting part of this research is to discuss the power of parameters in three cases, namely, (1) rotating cone/disk, (2) rotating cone/stationary disk, and (3) stationary cone/rotating disk. Furthermore, the thermal variation of the fluid is analyzed by an artificial neural network with the help of the Levenberg-Marquardt backpropagation algorithm. The regression analysis, mean square error, and error histogram of the neural network are analyzed using this algorithm. From the graph, it is perceived that the flow field climbed up significantly with an increase in the values of radiation parameters in all cases. Also, it is noticed that temperature upsurges significantly by upward values of solid volume fraction of the nanoparticles (?). 2024 the author(s), published by De Gruyter. -
Visual Symphony for Swift and Accurate Object Detection in Choreographed Deck of Cards
The Convolutional Neural Network model used for playing card recognition and categorization, offering trustworthy data regarding the suits of playing cards hearts, diamonds, clubs and spades as well as the corresponding numerical or alphabetical values. The model is built on a sophisticated dataset that guarantees high levels of precision for nearly all sorts of graphical representations and playing card scenarios. A wide range of entertainment andgames bands canuse the CNN idea. As aresult, the CNN-trained model is an excellent alternative for many different kinds of applications, including virtual reality games and card game automation, due to its capacity to extract and retain complex features from card pictures for accurate object identification. As a result, this research has shown how crucial deep learning models like CNNs are for enhancing computervision systems' suitability for real-world scenarios requiring precise and quick identification of objects. As a result, the suggested CNN-based approach offers a great chance to enhance cardidentification system performance and promoteadvancements in memory and gaming technology. 2024 IEEE. -
Automation of Breast Cancer Diagnosis and Treatment Using Machine Learning
Breast cancer remains a major global health challenge, with the complexity of managing diverse diagnostic tests often hindering timely and accurate detection. This system proposes a solution by unifying various test results, such as imaging, biopsy and genetic data, into a single platform that leverages machine learning (ML) to predict the likelihood of breast cancer. The platform features an intuitive dashboard that visually represents deviations from normal values, enabling healthcare providers to make informed decisions for early detection and treatment planning. In addition, the system includes an interactive chatbot powered by natural language processing, which assists both doctors and patients by interpreting test results, explaining predictions and offering real-time suggestions for treatment options. This comprehensive approach not only integrates ML models to enhance diagnostic accuracy but also provides real-time updates and alerts for critical changes in patient data. By consolidating fragmented information and incorporating predictive analytics, the system aims to improve the precision of cancer monitoring and offer personalized treatment guidance. About 98% early detection accuracy is achieved to do decision-making processes better which leads to efficient treatment planning. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Corporate Credit Rating Assessment for Financial Risk and Regulatory Compliance
Accurate corporate credit rating is crucial to financial risk management and regulation but the current models tend to use narrow data modalities, fail to consider time and relational relationships and have weak probabilistic calibration. These constraints make them less effective in detecting the risk of default and under pinning decision-making that is in line with the regulator. The objective of this study was to formulate and test a multimodal model with a time-dependent credit rating system to incorporate financial, textual, market and relational information. The publicly available corporate financial statements, market time series data, text disclosures and inter-firm relational information were used to conduct an experimental study. Baseline logistic regression, a hybrid XGBoost with FinBERT embeddings model, and a proposed Temporal Heterogeneous Graph Transformer with cross-modal fusion were implemented and compared using discrimination, calibration, and computational efficiency metrics. The model proposed had the best predictive performance up to a ROC-AUC of 0.903 and PR-AUC of 0.482 which is better than the baseline (0.761) and hybrid (0.842) models. Calibration analysis revealed more correspondence with observed default frequencies, and confusion matrices revealed that the number of true default detection improved as 64 (baseline) to 158. Ablation and Pareto analysis was used to verify that multimodal fusion and temporal graph modelling were the major sources of performance improvements. These findings indicate that the combination of multimodal, temporal, and relational data has a significant positive effect on the accuracy and reliability of credit ratings and provides an institutional and supervisory-appropriate credit risk evaluation framework to the regulator. 2026 IEEE. -
Ramifications of thermal slip on ternary nanofluids flow over an incurvate stretching sheet: A sensitivity analysis
The effects of thermal slip on the flow and heat mass transfer properties of ternary nanofluids over an incurvate stretched sheet are explored in this research article. The ternary nanofluid is colloidal mixture of three nanoparticles namely reduced graphene oxide, titanium oxide and silver suspended in a base fluid water. The relevant theoretical mathematical model is transformed into dimensionless equations by applying the proper similarity transformations and the dimensionless equations are then solved using RungeKuttaFehlberg 45 order method (RKF-45). The importance of clearly researched restrictions on the profiles of concentration, temperature and velocity are analysed through plotted graphs. The findings show that, while the temperature jump parameter affects the thermal properties, raising the curvature parameter increases fluid velocity close to the surface. Using response surface methodology, the sensitivity analysis is carried out to investigate the characteristics of skin friction coefficient and Nusselt number. The model's accuracy for the rate of heat transfer is (Formula presented.) and for skin friction is (Formula presented.). It is observed that the sensitivity of the Nusselt number towards radiation ((Formula presented.)) is more for all the values of thermal conductivity ((Formula presented.)) and for middle level of (Formula presented.) and sensitivity of skin friction (Formula presented.) is more for Schmidt number ((Formula presented.)) and independent of (Formula presented.). 2025 Wiley-VCH GmbH. -
Sensitivity analysis of thermal optimisation within conical gap between the cone and the surface of disk with particle deposition
This work examines the thermal and flow characteristics of TiO2+AgBr+GO/EG trihybrid nanofluid in the conical gap that exists between a disc and a cone. Effect of thermophoresis and particle deposition are examined to perceive the mass dissipation change on the surface. The governing equations of the problem are in the form of partial differential equations which are converted to nonlinear ordinary differential equations by applying proper scaling similarity transformations, and then the resultant equations are approximated numerically by using RKF45 technique. The interesting part of this research is to discuss the impact of various pertinent parameters on three cases namely: (1) rotating cone/disk (2) rotating cone/stationary disk and (3) stationary cone/rotating disk. The flow field, heat and mass transfer rates were analysed using graphical representations. Additionally, sensitivity analysis is performed on derived rate of heat transfer as a response function for input factors for different parameters. From the graph, it is perceived that flow field increases significantly with increase in the values of Reynolds numbers for both cone and disk rotations. Also, it is seen that temperature upsurges significantly for ascendent values of solid volume fraction of nanoparticles. It is also noticed that the sensitivity of the Nusselt number towards n is more for all the values of source/sink and for middle level values of n. Akadiai KiadZrt 2024. -
Flow and heat transfer of penta-hybrid nanofluid at stagnation point over a stretching/shrinking sheet
This research investigates the influence of penta-hybrid nanofluid on the flow and heat-mass transfer at a stagnation point over a stretching/shrinking sheet. The Penta hybrid nanofluid has been effectively synthesized by assimilation of Silver Ag, Gold Au, Magnesium oxide Mgo, Copper Cu, Titanium oxide TiO2 as a nanoparticle with a convectional fluid water H2O. Additionally, microorganisms are added to the fluid to improve the stability of nanoparticles by preventing aggregation, ensuring uniform dispersion. The governing nonlinear system of partial differential equations describing the problem are developed and converted into dimensionless form using proper similarity transformation. The obtained resultant equations are solved numerically by employing the Runge-Kutta-Fehlberg (RKF45) method. The results are confirmed by cross-referencing them with findings from established literature to assure consistency and precision. Further, the effect of dimensionless parameter on velocity, temperature, and concentration profiles are interpreted through the help of graphs. This research explores how stretching and shrinking conditions affect temperature distribution. It is found that the stretching surface shows enhanced thermal and mass transfer efficiency, due to a better distribution of nanoparticles and a reduction in boundary layer thickness. Also, it is seen that Penta-hybrid nanofluid increased the heat transfer rate by 5.71% as compared to tetra-hybrid nanofluids. Hence, these results support the penta-hybrid nanofluids for practical applications in fields such as photocatalysis, biomedical, and other energy storage systems. Further, the efficiency of Artificial Neural Network (ANN) model used to forecast flow behavior and heat transfer rate is assessed and supported by the regression coefficient R=1. 2025 Elsevier Ltd -
Relative thermal distribution between rectangular and convex parabolic fin in local thermal non-equilibrium model: a statistical analysis
This research investigates the numerical study of heat transfer between a fluid phase and the solid surface of a rectangular and convex parabolic fin, considering radiation and natural convection. This work helps to understand the design of advanced thermal devices employing fin systems under LTNE conditions. A mathematical model consisting of equations of solid and fluid phases is assumed to be distinct and coupled through local convective heat transfer. The governing equations of the mathematical model are non-linear ordinary differential equations reduced to dimensionless forms by applying suitable non-dimensional variables. The resultant set of equations, along with the boundary conditions are resolved using Runge-Kutta Fehlberg (RKF 45) method, and the obtained solution is validated with pre-existing results. The primacy of crucial aspects of the temperature profile and average Nusselt number is demonstrated through graphs. From the graphs, it is found that both solid and fluid phase temperature is more in the rectangular profile when compared to the convex parabolic profile. Further, the rate of heat transfer is analysed for both the profiles using response surface methodology (RSM). The response surface methodology is performed on derived rate of heat transfer as a response function for input factors for different parameters. Additionally, the accuracy of the model for rectangular and convex parabolic fin are found to be 97.47% and 96.36%, respectively. 2026 The Authors. -
Statistical thermal study of ternary hybrid nanofluid flow in coaxial cylinder: artificial neural network approach
The objective of this study is to examine heat and mass transfer aspects of ternary nanofluid flow in coaxial cylinder under the influence of Arrhenius activation energy, microorganisms concentration and bioconvection Peclet number, which a pivotal rolet in various scientific and engineering applications. The flow of ternary nanofluid is caused due to stretching inner cylinder with stationary outer cylinder. The nonlinear partial equations are derived for the flow model and reduced to non-linear ordinary differential equation by applying suitable similarity transformation. The resultant equations are resolved mathematically using Runge Kutta Fehlberg (RKF45) technique. The obtained numerical results are validated with the published work to check the exactness of the solution methodology and it is noticed that the present outcomes are on par with published work. The physical behaviour of the pertinent parameters is analysed through graphical depiction. The derived quantities like drag force and Sherwood number are studied through tabular column. Additionally, the heat transfer rate is analysed by using backpropagated Levenberg-Marquardt Machine learning algorithm. Further, the correlation between the parameter on the rate of heat transfer is analysed by using Mean square error and regression graphs. The key outcome of this research is that, the temperature upsurges by increasing the solid volume of nanoparticle due to higher thermal conductivity of the nanoparticles. Further, it is perceived from the artificial neural network model that, the correlation between the input parameters and output data are strongly correlated (R = 1). 2025 -
Mapping the Landscape of Financial Mindfulness Research: A Bibliometric Study
Financial mindfulness is an emerging concept in personal finance that promotes a transformative mindset to encourage rational decision-making and mitigate emotional biases. This study explores the evolution of research on financial mindfulness through a systematic literature review and bibliometric analysis of 58 relevant articles. The bibliometric analysis reveals the developmental trajectory of this literature, identifying notable authors, journals, countries involved, and international collaborations. Financial mindfulness originated from integrating finance with mindfulness principles, building on earlier concepts like money attitudes and behavioural finance. The study highlights the interdisciplinary nature of financial mindfulness, with significant contributions from finance, economics, and psychology. This research is novel in that it is the first attempt to systematically analyse the literature on financial mindfulness in this comprehensive manner. It establishes a foundational understanding for future researchers in the field, mapping out the existing landscape and highlighting the interdisciplinary collaboration that characterizes this area of study. By charting the developmental path and identifying key contributors and trends, this research sets the stage for continued exploration and a deeper understanding of financial mindfulness. Ultimately, it encourages further interdisciplinary research and practical applications in personal finance management, ensuring that future studies build on a robust framework of existing knowledge. This research not only explores past developments but also provides a clear direction for future inquiries and innovations in the field. 2024, Iquz Galaxy Publisher. All rights reserved. -
Hegemony of the Visual Question of Disability, Inclusivity, and Justice in Neru
[No abstract available] -
Dalit Historiography
Dalit historiography positions itself as a direct challenge to the casteist narratives of Brahmanical historiography, which have long dominated historical accounts of India. It critiques mainstream historiographies for being casteist, for excluding Dalit voices, and for misrepresenting Dalit experiences within societal and institutional frameworks. Grounded in the experiences of oppression faced by Dalits, the Dalit historiographic approach seeks to expose the biases of Brahmanical knowledge systems and the exclusionary practices embedded within colonial and nationalist histories. Drawing from Ambedkars critique of positivist history and his call for a history that addresses caste-based inequalities, Dalit historiography emphasises the need for alternative narratives. It underscores the active role of Dalits as key participants in shaping history. Through life narratives, folklore, and oral traditions, it highlights the contributions and experiences of Dalit communities that have long been overlooked. By confronting caste discrimination and advocating for social justice, Dalit historiography aims to dismantle the hegemonic Brahmanical structures and offer a more inclusive and intersectional understanding of history. 2026 selection and editorial matter, Mahitosh Mandal and Sanjiv Kondekar; individual chapters, the contributors. -
Debrahmanization
This chapter explores the concept of Brahmanism and its pervasive influence on the caste system in India, emphasizing the need for debrahmanization as a means to dismantle caste-based oppression. Historically rooted in the priestly castes dominance, Brahmanism has shaped societal structures by perpetuating inequality, while debrahmanization seeks to challenge this hierarchical order. This chapter examines the theoretical underpinnings of Brahmanism, including its socio-political ideology, and contrasts it with alternative movements, such as Buddhism, which aim to disrupt Brahmanical supremacy. The process of debrahmanization is positioned as a critical act to create an egalitarian society, advocating for political and intellectual engagement with anti-caste movements. Scholars like Ambedkar, Phule, and contemporary thinkers have advanced this discourse, emphasizing the need to address caste discrimination in all areas of life, including education, literature, and politics. Ultimately, this chapter argues that debrahmanization is a necessary step towards achieving social justice and creating a more inclusive and democratic India. 2026 selection and editorial matter, Mahitosh Mandal and Sanjiv Kondekar; individual chapters, the contributors. -
The Production Paradox A Marxist Reading of the Publishing Industry in the Late Capitalist Era
[No abstract available] -
Self-silencing and Attitude Towards Women in the Contemporary World: A Millennial Generation Perspective
Society, including governments and other social agents, advocates for gender equality professionally and personally. Social media, online trends, music, the manufacturing industry, and many more such agencies create inequality in various unorganized forms. Inequality is experienced by people globally, irrespective of their gender, religion, caste, color, socio-economic status, culture, country of origin, sexual preferences, language, food preferences, political ideologies, and so on. By and large, women, irrespective of their gender roles, become the victims, and society develops a stereotype about them, but they keep themselves silent. From developmental aspects, mankind is a part of modern society but still holds a more traditional and conservative attitude towards women. The matter of surprise is the woman herself finds own self trapped in those conventional social norms and chooses to be silent. Being into multiple gender roles, she never externalizes self-perception (as she tends to judge herself by how she thinks other people see her); perceives care as self-sacrifice (putting the other persons needs in front of her own); silences the self (dont speak about own feelings in an intimate relationship when she knows they will cause disagreement) and has divided self (as she finds it harder to be herself when she is in a close relationship than when she is on her own). Considering the same, the current study focuses on understanding the association between self-silencing and attitudes toward women in contemporary society. For this purpose, correlational design was followed, and standardized tools about self-silencing and attitudes towards women were administered to a sample of 101 emerging adults. The present statistical outcomes revealed that younger millennials (born between 1991 and 96) hold a more pro-feminist attitude, whereas older millennials (born between 1981 to 85) still hold more conventional attitudes towards women (t = -3.58; p <.001). It was also found that older millennials were more likely to self-express than younger ones, who prefer to hide their feelings (t = -1.94; <.05). 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
Rationally engineered PEGylatedl-citrulline functionalized baicalein encapsulated HSA nanopolymer guided by molecular docking for tumor microenvironment responsive and redox modulated colon cancer therapy
Colon cancer remains a major global health burden characterized by uncontrolled proliferation, oxidative stress, and poor responsiveness to conventional therapies, underscoring the need for biocompatible and targeted nanotherapeutic interventions. In this study, a novel pH-responsive human serum albumin-based nanocarrier, HSA-BA@PEG-LC NPs, was designed for the efficient and selective delivery of baicalein (BA) to colon cancer cells. Molecular docking analysis demonstrated strong binding affinities of BA with Hsp90 inhibitors and with human serum albumin (HSA), as well as a notable interaction between l-citrulline (LC) and the cationic amino acid transporter 1 (CAT-1), highlighting their potential roles in anticancer modulation. The engineered nanoparticles exhibited a uniform spherical morphology (232 nm), low polydispersity index (PDI < 0.3), and high colloidal stability (?27.21 mV). Spectroscopic analyses (FTIR and 1H NMR) confirmed successful encapsulation of BA and PEG-LC surface conjugation, with an encapsulation efficiency of 86.62% and pH-dependent sustained release favoring acidic tumor conditions. In HCT-116 cells, HSA-BA@PEG-LC NPs demonstrated enhanced internalization, strong cytoplasmic accumulation, and pronounced cytotoxicity (IC50 = 5.42 g mL?1), while maintaining safety toward normal lymphocytes. Mechanistically, treatment induced elevated ROS levels, GSH depletion, mitochondrial depolarization, nuclear condensation, cytoskeletal collapse, and G0/G1 cell-cycle arrest. Furthermore, the formulation displayed potent antioxidant activity across DPPH, NO, SOD, and lipid peroxidation assays, with IC50 values approaching ascorbic acid, validating synergistic PEG-LC functionalization and HSA-mediated stabilization as a promising redox-driven nanoplatform for targeted colon cancer therapy. This journal is The Royal Society of Chemistry, 2026