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Lie group analysis of flow and heat transfer of a nanofluid in conedisk systems with Hall current and radiative heat flux
A study of the rheological and heat transport characteristics in conedisk systems finds relevance in many applications such as viscometry, conical diffusers, and medical devices. Therefore, a three-dimensional axisymmetric flow with heat transport of a magnetized nanofluid in a conedisk system subjected to Hall current and thermal radiation effects is investigated. The simplified NavierStokes (NS) equations for the conedisk system given by Sdougos et al. [18] Journal of Fluid Mechanics, 138, 379404 are solved by using the asymptotic expansion method for the four different models, such as rotating cone with static disk (Model I), rotating disk with static cone (Model II), co-rotating cone and disk (Model III), and counter-rotating cone and disk (Model IV). The KhanaferVafaiLightstone (KVL) model along with experimental data-based properties of 37 nm Al2O3H2O nanofluid is considered. To obtain the transformations leading to self-similar equations from the NavierStokes (NS) and energy conservation equations, the Lie group technique is used. The self-similar nonlinear problem is solved numerically to examine the effects of physical parameters. There are critical values of the power exponent at which no heat transport from the disk surface occurs. Nanoparticles significantly enhance heat transport when both the cone and disk rotate in the same or opposite directions. The centrifugal force and thermal radiation improve the heat transport in conedisk systems. 2023 John Wiley & Sons Ltd. -
Nonlinear stability analysis of Rayleigh-Bard problem for a Navier-Stokes-Voigt fluid
The linear and nonlinear stability analyses of thermosolutal convection in a non-Newtonian Navier-Stokes-Voigt fluid, considering Soret and Ekman damping effects, are conducted analytically. Instability thresholds are determined for thermosolutal convection within a viscoelastic fluid of the Kelvin-Voigt type, wherein a dissolved salt field exists. Two scenarios are examined: one where the fluid layer is heated from the bottom and concurrently salted from the bottom, and the other where the fluid layer is heated from the bottom and concurrently salted from the top. The governing partial differential equations system includes conservation laws of mass, momentum, energy, and salt concentration. Using the energy method, the disturbances to the fluid system are shown to decay exponentially. Analytical expressions are developed for the eigenvalue as a function of Soret, Lewis, Prandtl, Kelvin-Voigt, and Rayleigh friction numbers. The study illustrates the shift from a stationary mode of convection to an oscillatory mode and provides thresholds that indicate these transitions. It is found that the viscoelastic property of the fluid acts as a stabilizing agent for oscillatory mode convection. Rayleigh friction substantially controls the convection threshold. Upon comparing threshold values between linear and nonlinear theories, a subcritical instability region is observed in the heating bottom-salting bottom case (case-1), whereas such a region is absent in the heating bottom-salting top case (case-2). 2024 Elsevier Ltd -
Nonlinear stability analysis of double-diffusive convection in KelvinVoigt fluid with chemical reaction
The influence of Rayleigh friction and chemical reaction on the onset of double-diffusive convection in a NavierStokesVoigt (NSV) fluid layer is investigatedby conducting linear instability and nonlinear stability analyses. The fluid layer is subjected to isothermal conditions and chemical equilibrium at the boundaries. The solubility of the dissolved component exhibits a linear dependency on temperature. The analysis is conducted for two distinct cases: the fluid layer is heated and salted from the bottom (case-1), and the fluid layer is heated from the bottom and salted from the top (case-2). Analytical expressions for the thermal Rayleigh number are obtained for both linear and nonlinear theories, and these expressions depend on KelvinVoigt, Rayleigh friction, solutal Rayleigh, Lewis, Prandtl, and Damkohler numbers. Including the Rayleigh friction term in the NSV fluid model improves the stability of the system and hence instabilityoccurs with less ease. For lower solutal Rayleigh numbers, convection commences in the stationary mode and subsequently transitions to the traveling wave mode occurred in case-1. The Damkohler number plays a significant role in the linear instability thresholds. It is also found that the KelvinVoigt number acts as a stabilizing factor for oscillatory mode convection. The comparison between linear and nonlinear thresholds unveils the region characterized by subcritical instability. 2024 John Wiley & Sons Ltd. -
Employer branding on the creation of anticipatory psychological contract
The process of the psychological contract (PC) starts before the employee joins the organisation. The brand of the company remains in the mind of candidates who apply for the job. Considering this relation, this research work is carried out to offer a detailed analysis of the position of employer branding (EB) in the formation of anticipatory psychological contracts (APCs) among millennials. The empirical study was carried out with a sample size of 330 respondents who are studying post-graduation management studies; these students are about to join the corporates. The outcomes of this study show that EB significantly impacts the PC. EB has a strong influence on relational expectations as compared to transactional expectations and employee obligations among potential employees. This paper helps recruitment managers to understand the expectations of potential employees and their beliefs towards their employers during the pre-employment phase. Copyright 2022 Inderscience Enterprises Ltd. -
Corporate Social Responsibility and Sustainability Development Mapping: Practical Application Beer and Nigel Roome Model
Toyota is one of the highly appreciated companies for CSR performance in India. The central theme of this research paper is to apply Beers and Nigel Roome model of sustainability to the Japanese automobile manufacturer operating in India. In the first part of analysis, we have discussed the relevance of Beers model to the Toyota CSR activity. In the second part of analysis, we make an effort to take forward the work of Basavaraj et al. (2018) who framed the questionnaire to map the Nigel Roome model to Toyota CSR case. The contribution of this case is to bring the new dimension in data presentation and analysis of Roome theoretical model on weak sustainability versus strong sustainability. The case analysis provides new insights for CSR managers to map their performance pictorially using Tableau software. Finally, we conclude, Toyota follows significant components of cybernetic model. Due to conscious effort of Toyota, India has positioned itself substantially well in the CSR ranking. 2022, Springer Nature Singapore Pte Ltd. -
Exploring the consequences of ethical leadership on CSR: a study on the Indian manufacturing industry
Human beings react to their perception, often thinking it is reality. The present study examines perceptions of employees on ethical leadership and its consequences on CSR effectiveness. This study showcases a few ethical behaviours of the leaders that positively persuade their employees to see organisational CSR effectiveness. The study is conducted in the Indian manufacturing sector by capturing the data from 285 employees of the 61 companies that responded. The study comes with significant practical and research implications. The analysis used statistical methods such as exploratory factor analysis and structural equation model (SEM) to test the hypothesis. The study showed that it is essential to hold a positive employer branding via CSR. Practically, this study informs you of the need of the leader to maintain a positive perception among the employees. Research-wise, the study extends the literature on CSR by linking it with employees' ethical leadership perception. Copyright 2022 Inderscience Enterprises Ltd. -
"Workplace ostracism, complacency and career plateau impediment in the career path of a dignified clerk"
Learning outcomes: The case study intends to depict the career plateau of an old committed and loyal employee of an organization. The deliberation on the case enables participants to understand the vitality of career planning for employees and organizations. The case helps to develop reflections on workplace ostracism, to arrive at the solutions to address the issues of career planning, to value the experience of the employee and give him a sense of satisfaction. Overall, to understand the importance of career planning for applying HR and OB concepts at the workplace. Case overview/synopsis: It is an account of a real scenario in the automation industry, with slight modifications to hide the identity. The essence of the case study is when a loyal employee is branded as a dignified clerk and gets a feeling of ostracism. The employees makes the organization, terminations because of outdated skills shall be a debatable topic. However, such practices have a profound impact on the other employees who stays in the organization and affect their productivity level. Career adaptability helps to overcome termination issues; adaptability is a psychological process of assisting an individual in coping with the challenges of automation technologies (Zhang Wenguang et al., 2019), it is a process of showing concerns, providing controls, solving curiosity and developing confidence during the transition process. When technologies are implemented the employer needs to address specific challenges access to technology, access to information, provide required skills and competencies to use technology, integrate people, these challenges support the successful implementation of technology (Kettunen and Sampson Jr., 2019). Career planning is a joint effort of employee and employer that sets the development target and path; the process sets demands for both the parties; it places an irreplaceable role for individual growth and corporate strategy (Zhai Meng et al., 2018). The Findings are the frequent review of job analysis and career planning that are critical for the organization's success; if done inappropriately, it would make one's roles obsolete. The critical implications of this case are the essence of career planning and the upskilling of employees. The case is useful for teaching job analysis, career planning concepts. The story is original and explains the transition of an automation industry from labor to capital intensive. The transition to automation makes a loyal employee feel ostracized due to a lack of skill sets. Complexity academic level: Post graduate students studying in business and management and working professional of human resources can use this case. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 6: Human resource management. 2021, Emerald Publishing Limited. -
Spiking neural network with blockchain for tampered image detection using forensic steganography images
Accurate tools are required to acknowledge misleading images in order to maintain image legitimacy, and these tools must allow for legal operations on images. Additionally, after posting their images to the Internet, image owners lose rights over the images because there are no measures in place to safeguard them from misuse. One of the most well-liked techniques for addressing copyright disputes is the use of steganography technologies. The embedded steganography images can, sadly, be easily altered or deleted. To address this problem, this work presents the spiking neural network (SNN) with blockchain for tampered image detection utilizing forensic steganography images. Forensic steganography images that have been altered can be found with this SNN. Using steganography images from the database, SNN is trained in this model. The blockchain stores the owners access policies. The Python platform is used to implement the proposed strategy. F-measure, specificity, accuracy, precision, recall false positive rate (FPR), and false negative rate (FNR) are used to gauge how well the proposed approach performs. When compared to state-of-the-art approaches, the proposed approach obtained an impressive rise of 98.65%, in classification accuracy. 2024 Institute of Advanced Engineering and Science. All rights reserved. -
Preparation, characterization, and electrochemical properties of PEO/PVDF blend films
This paper reports the electrochemical properties of PEO, PEO/PVDF10, and PEO/PVDF30 blend films, The XRD spectra reveal the structural properties of the blend and, FTIR spectra provide the chemical interaction between the blends, and observed FESEM images of PEO/PVDF blend film shows the porous with spherulite grain structure and AFM images gives the surface topology. The thermal stability, melting point, and decomposes of the polymer blend film were examined through TGA, DTA, and DSC. CV curve shows the proper oxidation and redox reaction involved in the blend film, these results provide the prepared polymer blend film is a good candidate for used to the separator in energy storage applications. 2022 Elsevier B.V. -
Impact of national income and public expenditure on employment and its public-private sector composition in indian economy
The paper focuses on the analysis of the impact of Gross National Income and Public Expenditure on total employment and its public and private sector components. It also examines the ratios of public and private sector employment to total employment and public sector to private sector employment. Results of summary statistics of employment, public and private sector employment, public expenditure, and gross national income are briefly discussed. Growth of total employment, public and private sector employment, gross national income and public expenditure is examined to determine the direction and magnitudes of inter-temporal changes. Growth trend of all three ratios is determined to detect and to anticipate the interrelations of change. Stationarity of time series of total employment, employment in public and private sectors, gross national income and public expenditure of Indian economy is evaluated by Random Walk Model and Dickey-Fuller test. Results show that the time series data of total, public and private sector employment approximate normal distribution with extremely low skewedness and concentration. The coefficients of variation of all 6 time series data are relatively very low. But the time series of GNI is non-stationary at 0.05 probability level, while time series of public expenditure displays negative trend. Negative change in private sector employment is determined by lagged private sector employment and private income/expenditure. Results of Engel-Granger test of co-integration show the variables to be well co-integrated in the chosen distributed lag models. 2021 DAV College. All rights reserved. -
A discourse analysis on spiritual text of the weekly supplement "The Speaking Tree" by the Times of India /
This research looks at the creative ways by the Times Group in reviving the dying medium ‘print’ through its weekly supplement ‘the speaking tree’. The goal is to show the relevance of spirituality in the modern society and to educate them on necessity of spirituality in the contemporary times. The researcher has analysed some articles by the spirituality experts published in the supplement vis-a-vis discourse analysis and symbols vis-a-vis semiotics. -
Analysis of the UAV Flight Logs in Order to Identify Information Security Incidents
The article discusses issues related to the analysis of the UAV flight logs to identify information security incidents that occurred during flights. Existing methods and tools for analyzing logs are described, and sources for obtaining logs are presented. In the main part of the article, first, the parameters important for the analysis are highlighted. The features of analyzing the values in the flight logs for the detection of two types of attacksGPS Spoofing and GPS Jamming are also given. For this purpose, the parameters that are most important for the detection of each of these attacks have been identified, systems of equations have been compiled to analyze these parameters, the calculations of which make it possible to detect the fact of attacks with high efficiency. The paper also presents the developed software that implements a number of functions that allow automating the analysis of flight logs, as well as determining the presence of information security incidents that occurred during the flight. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
UAV Security Analysis Framework
This study presents a framework that allows for various types of checks to detect weaknesses in UAV subsystems. The UAV testing process is automated and allows the operator only to select the types of checks or types of structural and functional characteristics that the operator wants to test. To ensure the possibility of automated verification, implemented databases are used, which include a catalog of structural characteristics, threats, vulnerabilities, and attacks. These catalogs are many-to-many related, and thanks to these links, it is possible to identify threats or vulnerabilities specific to a particular structural characteristic. In essence, such an architecture is a knowledge base based on an ontological model. Thanks to this architecture of the system, it is enough for the operator to determine what types of structural characteristics need to be checked and the system will give him information about the vulnerabilities of the UAV. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
OrthoTrace - Fracture Detection from X-Ray Images Using YOLOv5
Rapid and correct diagnosis of bone fractures is important for appropriate and efficient management in clinical practice; however, traditional X-ray interpretation frequently involves diagnostic error, particularly in low resource environments. This study presents OrthoTrace, a YOLOv5-based deep learning system designed for real-time and lightweight fracture detection. The model was trained on a curated set of annotated X-ray images from the publicly available YOLOv5 dataset, which includes a range of upper and lower limb fractures across diverse anatomical regions regions ( 3,500 - 4,000 images; 70:20:10 train/validation/test split) and evaluated using accuracy, mean Average Precision (mAP), precision, recall, and F1-score. On the held-out test set, OrthoTrace achieved 90% accuracy and an mAP of 0.91, outperforming standard CNN baselines and approaching YOLOv8 performance while requiring significantly fewer computational resources. YOLOv5 can also identify fractures in real time, and draw bounding boxes with confidence scores around the specific areas of the X-ray with fractures. OrthoTrace can also be deployed in local or cloud environments. The novelty of OrthoTrace lies in its incredibly rapid inference, while requiring very little computing power. Although promising, the system is limited by dataset size and lack of external validation. This system holds clinical significance as it can support rapid, reliable fracture detection in low-resource or emergency settings, making real-time deployment feasible on standard hospital hardware. Future work will focus on expanding datasets, and enhancing robustness across various medical scenarios. 2025 IEEE. -
Unlocking Access: Technology as a Tool for Transgender Economic Justice
The Transgender community across the world face discrimination from all walks of life. The transgender, even if educated and skilled, faces multiple hurdles during the employment process and within the workplace once employed. The challenges have even increased with COVID-19 and mass layoffs affecting employees across the globe. Transgender people have to be empowered to face the challenges of employment processes and workplace challenges as and when they arise. With the advancement of digital technologies, the Fourth Industrial Revolution can be leveraged for training, empowerment, awareness, network building, grievance redressal and sustainability for the transgender community. Digital technologies leverage the community to collaborate and be vocal about their needs and rights at a global level. Digital technology also helps the transgender community reach the proper forum to implement the required program for the benefit of the community. The decentralized and anonymous system for recording data and reporting incidents will also be a helpful, transparent process without being subject to unnecessary scrutiny. The technology-enabled system and practices will also help the companies and institutions to ascertain appropriate and efficient methods for creating gender gender-neutral environment devoid of any discrimination. Recently, there was a significant rise in concerns about employment practices for the LGBTQ community around the globe during the pandemic, such as lockdown protocols affecting employment conditions, vaccine access, support from employers, severance pay, mental health, etc. The International ecosystem has seen minimal regulatory discussion, and individual countries and companies are now implementing schemes to address the issue faced by transgender individuals in the employment and work ecosystem through the infusion of technologies. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
TECHNOLOGY-ENABLED SOLUTIONS FOR INCLUSIVE WORKPLACE DESIGN TO SUPPORT TRANSGENDER EMPLOYMENT RIGHTS
The study fills the gap in the current understanding of available legal safeguards and the actual inclusion of transgender workers that, despite constitutional and legislative requirements in India, there is still no equal access to work-related facilities, computerized systems, and company policies. In order to fill this gap, the research will use a User-Centered Design (UCD) methodology, which involves the active involvement of transgender employees in all the phases of requirement collection, co-design, prototyping, implementation, and testing. The model includes adaptive digital platforms, workspace redesign, smart engine, other policy-promoting, and promotes inclusivity with the help of data analytics and feedback loops. Pilot testing and simulated data evaluated parameters, including participation by the user, ergonomic inclusivity, policy-response intelligent, job satisfaction, mental wellbeing, retention, and team functioning. Findings show significant gains compared to conventional HR models with a 95% increment in user participation, 4% increment of ergonomic inclusiveness, 65% increment of policy-response acumen, 4.5-point increment of job satisfaction, 8 % increment of mental wellbeing, 41-point increment of team collaboration and improvement in retention by 20% in three-years. Overall, these results indicate that UCD-based technology-enhanced systems have the potential to decrease the level of exclusion, improve psychological safety, and performance of organizations. This paper finds that sustainable transgender workplace equity must incorporate participatory feedback, inclusive design and technology-based solutions into the system of the organizations, developing scalable and evidence-based programs to enhance inclusion, wellbeing, satisfaction, and retention and creating a supportive and equitable workplace environment. 2025, Technical institute of Bijeljina. All rights reserved. -
The role of family structure in shaping psychological experiences of emerging adults: A mixed methods study
Background: Family structure plays a pivotal role in shaping individuals psychological development, particularly during emerging adulthood. Aim: In India, where joint and nuclear family systems coexist, understanding how these structures influence psychological variables such as conformity, loneliness, perceived self-efficacy, psychological distancing, and the need for affiliation is critical. Method: This study employed a mixed-methods approach to examine these variables among 470 emerging adults (298 females, 172 males) aged 18 to 25?years, recruited from urban and semi-urban areas in India. Quantitative data were collected using standardized tools, while qualitative insights were gathered through semi-structured interviews with 20 participants. Results: Quantitative results revealed that emerging adults from joint families reported significantly higher levels of self-efficacy compared to those from nuclear families (U?=?18,945, p?=?.03), while no significant differences were found in loneliness (U?=?25,140, p?=?.73) or conformity (U?=?20,735, p?=?.57). A weak negative correlation was found between loneliness and self-efficacy (rs?=??.20, p?<?.05), indicating that higher loneliness is associated with lower self-efficacy. Qualitative findings highlighted the role of family as a source of emotional security, with technology bridging emotional gaps across family types. Participants exhibited a present-focused planning mindset, emphasizing adaptability over rigid long-term goals. Both joint and nuclear family participants relied on familial and peer networks to fulfill affiliative needs, though the nature of these networks varied by family structure. Conclusion: The study concludes that while joint families were associated with higher self-efficacy, both family types provided emotional security and fulfilled affiliative needs in distinct ways. These findings underscore the importance of considering both structural and relational aspects of family dynamics in understanding young adults psychological well-being. Future research should explore these dynamics across different cultural contexts and age groups to identify universal and culture-specific patterns. The Author(s) 2025 -
A Paradigmatic Shift: Telehealth Counselling's Expansion and Challenges in India
Background: This study provides a comprehensive analysis of the rapid expansion and transformative impact of telehealth counselling in India, a trend significantly propelled by the challenges posed by the COVID-19 pandemic. Methodology: This paper presents a perspective on the current telehealth landscape, synthesizing insights from an extensive literature review. The investigation integrates qualitative insights from health care practitioners and clients, allowing for a multifaceted understanding of the emerging obstacles linked to telehealth implementation. The synthesis is structured around several key concepts identified in the literature, including the efficacy of telehealth counselling services compared to traditional face-to-face interactions, the resilience of mental health services during crises, and the growing acceptance of digital modalities among patients. Additionally, it explores significant challenges such as disparities in technological access, the need for comprehensive regulatory frameworks, varying levels of patient receptivity, infrastructural limitations, and the readiness of health care professionals to adopt telehealth technologies. Results: By focusing on these areas, the paper elucidates the complex interplay of technical, regulatory, and cultural factors shaping the telehealth ecosystem in India. It advocates for urgent policy enhancements and the continuous integration of technology to effectively address these barriers. Discussion: This perspective underscores the potential for telehealth counselling to evolve into a permanent and essential component of India's mental health service delivery model, ultimately contributing to a more resilient and accessible health care system. Conclusion: The conclusions drawn emphasize the necessity for targeted policy interventions and the establishment of robust technological infrastructures to foster a more inclusive and effective telehealth environment, ensuring mental health services reach all segments of the population. 2025 John Wiley & Sons Ltd. -
The Impact of Computer-Mediated Communication on Relationships and Social Interactions
Computer-mediated communication (CMC) has profoundly changed how we express or connect in the modern world. Various virtual platforms, like Instagram, WhatsApp, and online games, have transformed how we communicate, and there is an overlap between the virtual and the physical world. This reflective study uses a comprehensive literature synthesis to examine the transforming nature of CMC on relationships and socialization patterns. The findings emphasize the importance of a holistic approach to understanding technology in interpersonal communication. Through this study, we attempt to mitigate the potential harms of excessive internet use through digital literacy, reflecting on online interactions and mindfulness in using the medium, especially for school-age children. The main takeaway from this reflective research is that when using technology for communication, one should practice equality and fairness across the board. Both the real and virtual worlds operate on the same principles of similarity and social exchange to create relationships, even though these theories are based on traditional offline relationships. 2024 Taylor & Francis Group, LLC. -
A Hybrid Stacked Ensemble Model for Heart Disease Prediction
Cardiovascular Diseases (CVDs), especially heart attacks, are resulting in high rates of death worldwide, which highlights the need for early prediction systems. This paper deals with advanced ML and DL methods to predict heart attacks with a pre-processed clinical dataset. 6 models were used: a Hybrid Stacked Model combined with Logistic Regression, Random Forest, and XGBoost using a neural meta-learner; CNN with LSTM, BiGRU, and dense layers; an RNN with BiLSTM; and an XGBoost method using deep feature representations. Data preprocessing involved feature scaling and class balancing with the help of SMOTE. Model performance is being measured by Accuracy, Precision, Recall, and F1-Score. Hybrid Stacked Model had the highest accuracy (94.24%) and F1-score (94.12%), while CNN + LSTM had the best recall (95.96%), to reduce false negatives. XGBoost with deep features demonstrated competitive accuracy (91.22%) and transparency. These results point to the efficiency of hybrid and sequential deep learning models in cardiovascular risk prediction. In the future, research will be focused on real-time patient data integration, federated learning for privacy, and personalized health promotion using IoT-based monitoring. 2025 IEEE.