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Influence of Psychosocial Factors on Online Learning During Humanitarian Emergencies
This chapter attempts to understand the influence of psychosocial factors on online learning during humanitarian emergencies. In recent times, online pedagogy has proved to be the need of the hour during humanitarian emergencies for undisrupted human learning of all ages. However, the role of psychosocial factors in learning is not explored in depth. This chapter explores the influence of uncertainty and change, the role of technological efficacy, motivation, and learning, the importance of cognitive factors and learning environment, and the effect of socialisation on learning. It also highlights the differences in the pedagogical experiences in online technology-based learning from ones natural setting from the institutionalised framework of face-to-face traditional formats of learning. The present chapters findings will help to comprehend the differences between the two formats and incorporate the flexible use of traditional and online formats in mainstream education. The understanding and insights gained from this will further make the transition from traditional to online more effective and efficient now and in the future. 2025 selection and editorial matter, Kennedy Andrew Thomas and Joseph Varghese Kureethara; individuals, the contributors. -
Unveiling the bulge-disc structure, AGN feedback, and baryon landscape in a massive spiral galaxy with Mpc-scale radio jets
We study the bulge-disc components and stellar mass distribution in the fast-rotating, highly massive spiral galaxy 2MASX J23453268-0449256, which is distinguished by extraordinary radio jets extending to Mpc scales. Using high-resolution multiwavelength Hubble Space Telescope (HST) observations and multiparameter panchromatic spectral energy distribution (SED) fitting, we derive estimates of key properties, such as the star formation rate, total baryonic mass in stars, and the characteristics of warm dust. Our findings, validated at a spatial resolution of approximately 100 pc, reveal a pseudo-bulge rather than a classical bulge, as well as a small nuclear bar and resonant ring, challenging traditional models of galaxy formation. Furthermore, the absence of tidal debris and the highly symmetric spiral arms within a rotationally supported stellar disc suggest a peaceful co-evolution of the galactic disc and its central supermassive black hole (SMBH). Notably, the galaxy exhibits suppressed star formation in its central region, which may be influenced by feedback from the central accreting SMBH, producing powerful radio jets. Detailed multiwavelength studies of potential star-forming gas show that while hot X-ray gas cools in the galaxy's halo, new stars do not form in the centre, likely due to this feedback. This study raises important questions about the efficient fuelling and sustained collimated jet activity in J2345-0449, highlighting the need for a better understanding of the central black hole's properties. The exceptional rarity of galaxies like 2MASX J23453268-0449256 presents intriguing challenges in uncovering the physical processes behind their unique characteristics. 2025 The Author(s). -
Current Trends in Career Decision in Youth: Opportunities and Challenges
In todays times, career is a crucial life decision. Due to its paramount importance in our lives, the youth experience diverse kinds of stresses and pressures while choosing their career in life. Contrary to earlier handful career options, current trends offer an unlimited mix of traditional as well as unconventional career roles which further create confusion and anxiety while making the final decision. Newer factors, challenges and opportunities have forced a change of frameworks and perspectives to career decision-making. In career counselling, current trends are shifting away from the traditional practice of matching skill-sets to the job. Todays career decision-making takes an inclusive approach by discussing the various internal influences, emotional management, cognitive thinking styles, coping strategies, adaptability, etc. as well as external influences of uncertainty, evolving lifestyle demands, changing economic tapestry, etc. In addition, the influences of gender, family and culture affect the nature of the goals and their acceptability. The current chapter throws light on the evolving scenario in the field of career decision-making among the youth and attempts to offer solutions to the challenges being faced by the youth. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Therapists Issues in Understanding Stuttering
[No abstract available] -
Challenges of Treating Bilingual and Multilingual Stuttering
[No abstract available] -
Deciphering the global research trends and significance of moral intelligence via bibliometric analysis
Introduction: Moral Intelligence (MI) as a concept has gained importance in recent years due to its wide applicability in individual, organizational, and clinical settings or even policy making. The present study employed Bibliometric analysis to understand the emerging topics associated with MI and its global research trend. This papers primary aim was (i) to explore the temporal and geographic growth trends of the research publication on MI. (ii) to identify the most prolific countries, institutions, and authors, working on MI, (iii) to identify the most frequent terminologies, (iv) to explore research topics and to provide insight into potential collaborations and future directions, and (v) to explore the significance of the concept of moral intelligence. Method: Bibliometric analysis was used to understand the emerging topics associated with MI and its global research trend using the SCOPUS database. VOS viewer and R were employed to analyze the result. Through the analysis conducted, the development of the construct over time was analyzed. Results: Results have shown that Iran and the United States and these two combined account for 53.16% of the total country-wise publications. Switzerland has the highest number of Multi-county publications. Authors from Iran and Switzerland have the most number of publications. Emerging topics like decision-making, machine ethics, moral agents, artificial ethics, co-evolution of human and artificial moral agents, green purchase intention etc were identified. Discussion: The application of MI in organisational decision-making, education policy, artificial intelligence and measurement of moral intelligence are important areas of application as per the results. Research interest in MI is projected to increase according to the results delineated in this article. Copyright 2024 Bagchi, Srivastava and Tushir. -
Harnessing the Power of Climate Activism: Insights from Psychological Perspectives on Climate Change EngagementA Systematic Review
Scientific evidence has validated the inevitability of global warming and its effect in the form of climate change. There has been an increase in climate strikes and other forms of climate activism in recent years. It is important to understand the research landscape in psychological literature with regards to climate change and climate activism, to help guide future researchers. The databases of PubMed (Keywords: climate activism, climate change, psychology, n?=?1), Google Scholar (Keywords?=?climate activism, climate change, psychology, n?=?200) and Scopus database (Keywords: climate activism AND climate change AND psychology, n?=?160) were searched to create the pool of research documents. This was further filtered according to the inclusion and exclusion criteria. In the first section of this article, we have tried to explore the temporal and geographic growth trends of climate change research and collaborations using R (Bibliometric package). In the second section, we have used a text-mining approach to identify the research topics being explored in the climate change literature. R package tm along with associated packages were used to do the processing and subsequent grouping of the themes. In order to refine the classification the identified groupings were supervised by the authors. The final documents have been scoured to extract an overall understanding of the existing concepts explored so far and gauge their impact in the realm of climate change research. This systematic study casts light on the psychological views on climate activism and offers insightful information about the underlying causes that affect peoples involvement in the fight and struggle against climate change. The creation of more effective techniques for encouraging climate activism and utilizing its capacity to inspire significant action to address climate change can be influenced by an understanding of these elements. In order to address the complex issues of climate change, this chapter emphasizes the value of multidisciplinary collaboration amongst psychologists, policymakers, educators, and activists. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Semilinear fractional elliptic equations with combined nonlinearities and measure data
This study focuses on semilinear fractional elliptic problems with concave-convex type nonlinearities and measures as data. Suitable iteration techniques and embedding results are employed to ensure the existence and multiplicity of solutions. 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
Navigating leadership and technology integration in the digital age: Success factors and determinants
This chapter explores the importance of leadership in building an environment that encourages technological innovations and developments, the role of organizational leaders in inspiring employees to accept and use new technologies and the future for business organizations concerning technological advancements. Through a comprehensive literature review analysis, the need for technology embracing leaders who can adopt and help adapting to intelligent communication technologies for facilitated communication, manage the new change and implement strategic solutions have been emphasized. The chapter also includes two case analysis of Cleveland Clinic and Arizona State University demonstrating successful leadership and technology integration and a machine learning approach based on correlation matrix using SUV to assess the relationship between transformational leadership, knowledge-based work passion and organizational citizenship behaviour. The implications of this study are beneficial as it explores the multi-facets of successful technology-integrated leadership in the digital age. 2025, IGI Global Scientific Publishing. All rights reserved. -
Charting the Course of Leadership Through the Digital Era: A Synergy of Leadership Styles, Technology Integration, and Deep Learning
This chapter aims to provide actionable strategies for empowering leaders in leveraging technology to amplify their leadership efficacy in contemporary business environments by employing extensive literature review and deep learning models, a method in Artificial Intelligence (AI). It investigates the effectiveness of three leadership approachesTransformational, Transactional, and Servant Leadershipin meeting high-performance expectations within organizational contexts. The performance of these leadership styles based on their effectiveness scores have been analyzed using data analysis techniques and neural network models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Furthermore, Deep Convolutional Generative Adversarial Networks (DCGANs), have been utilized to visualize complex leadership dynamics. The findings from this comprehensive analysis provide valuable insights into the strengths and limitations of each leadership approach, guiding strategic leadership development initiatives and organizational decision-making processes. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Application of XAI in Integrating Democratic and Servant Leadership to Enhance the Performance of Manufacturing Industries in Ethiopia
This study tests the conceptual model theorizing democratic leadership, servant leadership, learning organization, and performance of manufacturing industries using Structural Equation Modeling (SEM). The impact of democratic and servant leadership on learning organizations and the performance of manufacturing industries in Ethiopia is analyzed, and the role of learning organizations as a mediating variable is examined. Confirmatory Factor Analysis was performed, which includes a well-established Chi-square test, the Chi-square ratio to degrees of freedom, the goodness-of-fit index, the TuckerLewis index, the comparative fit index, the adjusted goodness-of-fit, and the root mean square error of approximation. Further, the performance of manufacturing industries has been assessed using XAI which helps in having a higher clarity on understanding the complexities in production. Based on linear regression, two methods SHAP and LIME have been used for precise predictions and forecast for future production plans in the manufacturing industry. This research contributes to the existing body of knowledge by dissecting the nuanced relationships between the two leadership styles and learning organization and further, their implications for an organizations performance. The findings of the study would provide insights for policymakers and practitioners to improve the performance of manufacturing industries. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Training multi-layer perceptron with enhanced brain storm optimization metaheuristics
In the domain of artificial neural networks, the learning process represents one of the most challenging tasks. Since the classification accuracy highly depends on the weights and biases, it is crucial to find its optimal or suboptimal values for the problem at hand. However, to a very large search space, it is very difficult to find the proper values of connection weights and biases. Employing traditional optimization algorithms for this issue leads to slow convergence and it is prone to get stuck in the local optima. Most commonly, back-propagation is used for multi-layer-perceptron training and it can lead to vanishing gradient issue. As an alternative approach, stochastic optimization algorithms, such as nature-inspired metaheuristics are more reliable for complex optimization tax, such as finding the proper values of weights and biases for neural network training. In this work, we propose an enhanced brain storm optimization-based algorithm for training neural networks. In the simulations, ten binary classification benchmark datasets with different difficulty levels are used to evaluate the efficiency of the proposed enhanced brain storm optimization algorithm. The results show that the proposed approach is very promising in this domain and it achieved better results than other state-of-the-art approaches on the majority of datasets in terms of classification accuracy and convergence speed, due to the capability of balancing the intensification and diversification and avoiding the local minima. The proposed approach obtained the best accuracy on eight out of ten observed dataset, outperforming all other algorithms by 1-2% on average. When mean accuracy is observed, the proposed algorithm dominated on nine out of ten datasets. 2022 Tech Science Press. All rights reserved. -
Determinants and Impacts of Mergers and Acquisitions in the Drugs and Pharmaceutical Industry in India
Mergers and Acquisitions (MandAs) are inorganic growth strategies adopted by firms for achieving the objective of long-term growth maximization. Compared to other inorganic growth strategies like joint ventures and strategic alliances, MandAs offer deeper restructuring opportunities and better control over business over a long-term newlinebasis. During the third wave of globalization which started in early 1990s, MandAs became a popular strategy for firms to expand their businesses beyond the national boundaries. newlineIndian economy has been witnessing buzzling activity in the MandA landscape. A sectoral analysis of MandA trends identifies pharmaceutical sector as one of the top 5 newlinesectors with the highest MandA deal values during the period 2013-2016. Though Pharma sector has witnessed a decline in deal values during few years in the recent past, the resilience of the sector is visible through its ability to bounce back with record newlinebreaking deal values. Due to the continuous regulatory changes occurring in the domestic and foreign markets, pharma companies have to constantly change their strategies to survive and grow in the industry. MandAs enable pharma companies to adapt to these changes quickly. This study explores how the firms in the pharmaceutical sector use MandA as a strategy to navigate through the dynamic competitive landscape. The objectives of this research are threefold developing an understanding of the motives behind MandA decisions of the pharma firms, identification of the firm level determinants of acquisition probability and assessment of impact of MandAs. This study newlineuses qualitative content analysis for identification of MandA motives. The firm level newlinedeterminants of acquisition probability have been explored using Random Effect Logistic (REL) regression using panel data. Case study approach has been employed to assess the MandA impact by comparing the MandA motives with the post MandA outcomes. -
Examining the Impact of TRIPS Agreement on Innovation: A Review and Research Agenda
[No abstract available] -
Rayleigh-Benard-Marangoni electro-convection in a dielectic micropolar fluid /
The linear analysis of Rayleigh-B??nard-Marangoni convection in dielectric micropolar fluid is studied using the Galerkin technique. In the case of Rayleigh ?? B??nard convection, the eigenvalue is obtained for free - free, rigid ?? free and rigid ?? rigid velocity boundary combinations with isothermal and adiabatic on the spin-vanishing boundaries. A linear stability analysis is performed. The influence of various parameters on the onset of convection has been analyzed. In the case of Marangoni and Rayleigh-B??nard-Marangoni convection the eigenvalues are obtained for an upper free / adiabatic and lower rigid / isothermal boundaries. The microrotation is assumed to vanish at the boundaries. The influence of various parameters on the onset of convection has been analyzed and their comparative influence on onset is discussed. -
Rayleigh-benard and benard-marangoni convection in micropolar fluid
We study in this thesis, Rayleigh-Bard and Bard-Marangoni convection in a micropolar fluid. We study the effects of temperature modulation at the boundary and gravity modulation in the presence of porous medium. The effects of rotation and internal heat generation are also investigated and results are presented graphically and discussed qualitatively. The problem presented in this thesis throws light on externally controlled internal convection in a micropolar fluid. These problems have many possible applications in geophysics, astrophysics, oceanography engineering and in space situations with g-jitter connected with gravity stimulation study. With this motivation, we examine in this thesis five problems and their summary is given below one by one. (i) THE EFFECT OF IMPOSED TIME-PERIODIC BOUNDARY TEMPERATURE AND POROUS MEDIUM ON THE ONSET OF RAYLEIGH-BARD CONVECTION IN A MICROPOLAR FLUID The analysis of buoyancy driven convection in a micropolar fluid saturated porous layer heated from below and subject to temperature modulation is presented. In addition to a steady temperature difference between the walls of the porous layer, a time-dependent periodic perturbation is applied to the wall temperatures. The small amplitude of the modulation is used to compute the critical Rayleigh number and critical wave number. Three cases of the oscillating temperature field are examined: (a) symmetric, so that the wall temperatures are modulated in phase, (b) asymmetric, corresponding to out-of-phase modulation, and (c) only the bottom wall is modulated. Possibilities of the occurrence of subcritical instabilities are also discussed. The shift in the critical Rayleigh number is calculated as a function of frequency and it is found that it is possible to advance or delay the onset of convection by time modulation of the wall temperatures. (ii)LINEAR AND NON-LINEAR ANALYSES OF GRAVITY MODULATION ON THE ONSET OF RAYLEIGH-BARD CONVECTION IN A MICROPOLAR FLUID WITH POROUS MEDIUM. -
Rayleigh-Benard and Benard-Marangoni convection in micropolar fluid
We study in this thesis, Rayleigh-Bernard and Bernard-Marangoni convection in a micropolar fluid. We study the effects of temperature modulation at the boundary and gravity modulation in the presence of porous medium. The effects of rotation and internal heat generation are also investigated and results are presented graphically and discussed qualitatively. -
Psychosocial Group Interventions for Older Adults: A Systematic Review
Older adults are facing complex, multifaceted psychosocial issues, such as loneliness, social isolation, financial stress, and cognitive decline, which crucially impact their mental health and quality of life. Group-based psychosocial interventions have gained recognition as valuable tools for strengthening peer interaction and collective healing. The review aims to map the important literature on psychosocial group interventions for older adults. Six electronic databases were searched from March to June 2025. Inclusion criteria are: psychosocial interventions within the last 10 years and group interventions in English research papers only. Review papers, conference proceedings, medical interventions, and individual interventions have been excluded. After the screening process, eight articles were identified as psychosocial group interventions for older adults from eight different countries. Each intervention is unique, and 90% of them effectively address the psychosocial needs of older people. The results are explained and grouped under three themes that have emerged from the research questions underlying the review. They are: (a) the efficacy of psychosocial group interventions on cognitive and mental well-being; (b) addressing social isolation, loneliness, and enhancing social connection; and (c) impact of environmental and socio-cultural contexts on older adults psychosocial interventions. A significant observation is the need for a structured intervention model to promote the well-being of older adults. This review provides a foundation for developing new insights into psychosocial interventions for older adults. The Author(s) 2026 -
Human factors and social engineering in IoT attacks
This chapter explores how social engineering and human factors contribute to IoT assaults, emphasizing how human mistake and psychological manipulation weaken linked systems. Cybercriminals are increasingly using social engineering techniques to trick people into disclosing private information or jeopardizing security measures as IoT devices become more and more integrated into everyday life and vital infrastructure. This study examines important strategies like baiting, pretexting, and phishing, highlighting their unique uses in Internet of Things settings. It also looks into how human behavior affects security procedures, showing how dangers are increased by insufficient awareness and training. The chapter offers important insights into how human factors and IoT security interact by examining current case studies and actual attack scenarios. It ends with tactical suggestions for enhancing security awareness, fortifying authentication procedures, and putting in place efficient defenses against social engineering risks in IoT ecosystems. Future research should focus on developing AI-driven security measures, flexible defense strategies, and strong policy frameworks to strengthen IoT security. Tackling these human-related vulnerabilities is essential to building a safer and more reliable IoT ecosystem. 2026 Elsevier Inc. All rights reserved.. -
