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Filmography of social issues in Punjabi cinema /
Through this dissertation, the researcher aims to find out the various social issues reflected in the cinema of the Punjab. The main focus of the research is on three films. The first film is Maarhi Da Deeva which is based on a book by Punjabi writer Gurdial Singh and it talks about the trials and tribulations faced by the lower classes at the hands of the upper classes in a rural setup in the Punjab of 1980s. -
Analysing the impact of the taxation law amendment of 2019 on corporate taxation in India
The Taxation Law (Amendment) Act, 2019 in India has brought major changes in the taxation revenue as well as in legal provisions. The actual ground reality of the Amendment on a microeconomic level is unknown, but a correlation analysis on macroeconomic indicators show that there is a high positive correlation between the corporate tax revenue and the GDP growth. The author also interlinks the effects of tax cuts on the economy with privatization and how it can mitigate the risks of tax evasion. There is a generalized misconception with privatization that it leads to a significant loss in taxation revenue. The study shows that in fact, privatization helps to expand the earnings of the Government by widening the taxation structure and slab, which the author has found through statistics. It is high time to have strong regulatory measures to prevent tax evasion by encouraging more corporate entities to become a part of the tax base. Indian Institute of Finance. -
k-Domination Connectivity in Graphs
The conditional connectivity of G with respect to a graph theoretic property P is the smallest cardinality of a set S of vertices (edges), if any, such that every component Hi of the disconnected graph G ? S has property P. Connectivity and domination are two major areas of graph theory having numerous applications in computer and information sciences. In this paper, we study a type of conditional connectivity that combines connectivity and domination, called k-domination connectivity. Further, we investigate the k-domination connectivity of some standard graph classes. 2025 World Scientific Publishing Company. -
k-Domination Vertex Connectivity in Internet of Things Networks
The Internet of Things refers to a collection of closely connected devices that form a network through wireless or wired communication technology that work together to achieve common goals for their users. The IoT devices that are distributed in nature may cause the system to suffer from server crashes, server omissions, incorrect responses, and arbitrary errors. In this paper, we present a method of fault tolerance in IoT networks using graph theory approach to ensure the robustness of the network in case of attacks or disconnections through the concept of domination vertex connectivity in graphs. We further study this parameter in case of the Tensor product and Lexicographic product of specific graph classes, which have major implications in IoT networks. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2026. -
Collaborative Processes in the Development of the International Competences for Undergraduate Psychology (ICUP) Model
Across all nations, undergraduate psychology programmes aim to promote the acquisition of foundational psychology competences. Yet, until recently, a universally recognised model outlining essential competences did not exist. The International Collaboration on Undergraduate Psychology Outcomes (ICUPO) addressed this gap by developing the International Competences for Undergraduate Psychology (ICUP) Model. The aim of this article is to provide guidance about how other groups might successfully approach similar efforts to delineate discipline-specific key competences. We describe the processes that led to the development of the ICUP Model, framed by group development theory (Preparing, Forming, Storming, Norming, and Performing Stages), with additional consideration of individual ICUPO Committee member psychological needs for competence, relatedness, and autonomy. Each group development Stage section (a) describes project activities relevant to the characteristics of that Stage, and (b) lists key strategies employed and lessons learned, as well as commentary on psychological needs. To further enhance the value of this endeavour, the Discussion includes (a) commentary on the strengths and limitations of these theories for understanding and enhancing the effectiveness of such project processes, and (b) actionable insights for educational leaders undertaking similar projects. 2025 The Author(s). International Journal of Psychology published by John Wiley & Sons Ltd on behalf of International Union of Psychological Science. -
Considering Cultural Responsiveness in the Creation of the International Competences for Undergraduate Psychology (ICUP) Model: What Can Psychology Learn?
This article aims to describe the development of foundational competencies relevant to cultural responsiveness (CR), within the context of the International Competences for Undergraduate Psychology (ICUP) model (Nolan et al., 2025). The underlying premise of the ICUP model is that the acquisition of undergraduate-level foundational psychology competences can and should have high value in personal, work, and community contextsregardless of graduate career destination. A targeted background on CR is given, followed by brief descriptions of the International Collaboration on Undergraduate Psychology Outcomes (ICUPO) project (which created the ICUP model; International Collaboration on Undergraduate Psychology Outcomes, n.d.) and of the CR competences themselves. Then, procedural aspects of the ICUPO project relevant to CR are described, followed by quantitative and qualitative approaches to exploring the CR of the diverse ICUPO Committee members. The findings are discussed in terms of implications for (a) psychology educatorsin particular, they need to possess the capacity to be culturally responsive in order to be able to support students in acquiring or improving their own CR; (b) psychology education leaders undertaking undergraduate curricular renewal; and (c) the sustainable future of the discipline of psychology. 2025 American Psychological Association -
Translation and Validation of the Malayalam Version of the Subjective Happiness Scale
The subjective happiness scale (SHS) is a brief instrument used to measure global subjective happiness that has been translated from its original English to many other languages. To date, there is no reported translation of this scale into Malayalam, a language spoken by over 32 million people especially in the southern state of Kerala, India. In the present study, 656 community-dwelling older adults participating in the Kerala Einstein study (KES) completed the Malayalam version of the SHS. The Malayalam version demonstrated high internal consistency and good convergent validity, as assessed by comparison to measures of depression and anxiety. We also used factor analysis to determine that the Malayalam version of the SHS has a unidimensional structure, akin to the original English as well as other language adaptations. Our study adds to the repertoire of tools to measure happiness in non-English-speaking populations, enabling future research to explore the foundations of well-being across diverse cultures. The Author(s) 2024. -
Translation and Validation of the Malayalam Version of the Subjective Happiness Scale
The subjective happiness scale (SHS) is a brief instrument used to measure global subjective happiness that has been translated from its original English to many other languages. To date, there is no reported translation of this scale into Malayalam, a language spoken by over 32 million people especially in the southern state of Kerala, India. In the present study, 656 community-dwelling older adults participating in the Kerala Einstein study (KES) completed the Malayalam version of the SHS. The Malayalam version demonstrated high internal consistency and good convergent validity, as assessed by comparison to measures of depression and anxiety. We also used factor analysis to determine that the Malayalam version of the SHS has a unidimensional structure, akin to the original English as well as other language adaptations. Our study adds to the repertoire of tools to measure happiness in non-English-speaking populations, enabling future research to explore the foundations of well-being across diverse cultures. The Author(s) 2024. -
Validity of a Short Version Scale of Knowledge, Attitudes and Practices of Sexual and Reproductive Health in Indigenous Women in Mexico
The study evaluated the validity and reliability of the Scale of Knowledge, Attitudes and Practices of Sexual and Reproductive Health (ECAPSSR) in indigenous women in Mexico. A total of 177 women aged 14 to 48 participated, and signed and authorized their participation. Three dimensions were evaluated: knowledge, attitudes and practices. A final version of 78 questions of the original scale was obtained with acceptable reliability. Confirmatory Factor Analysis suggests an acceptable fit in three subscales. A valid, reliable and structured version was obtained as a screening option that allowed the evaluation of sexual and reproductive health in indigenous women. 2025 Society for Menstrual Cycle Research. -
Psychosocial correlates of resilience among older adults in Mexico
There is a tremendousglobal increase in the older adultspopulation. Mental health in older age is as important in as it is for other age categories. Majority of older adults show healthy states, vitality, good humor and enthusiasm in performing various activities, interest in continuing to contribute to their family and society despite the difficulties of this stage of life due to large part to resilience they have. The aim of the study was to establish social and psychosocial factors associated with resilience.A cross-sectional and correlation study was conducted on older adults who were hospitalized in a public General Hospital of Mexico in 2013. Resilience, gender, occupation, family environment, self-esteem, presence of critical life events, and the presence of significant persons were assessed. 186 older adults participated. Higher levels of resilience were found in males and employed people. Participants with a functional family and high self-esteem had the highest levels of resilience. Besides, 15% of the variance of the total resilience score was explained by family environment, and 27% was explained by self-esteem (p<0.05).Although all participants were older adults, individual characteristics such as gender, occupation and self-esteem; besides family environment, were found to be associated to the levels of resilience in this population. Specific programs- -enhancing these factorsare needed to improve resilience. 2019 Oriental Scientific Publishing Company. All rights reserved. -
Quantum corrections in general relativity explored through a GUP-inspired maximal acceleration analysis
A maximun acceleration analysis by Pati dating back to 1992 is here improved by replacing the traditional Heisenberg Uncertainty Principle (HUP) with the Generalized Uncertainty Principle (GUP), which predicts the existence of a minimum length in Nature. This new approach allows one to find a numerical value for the maximum acceleration existing in Nature for a physical particle that turns out to be [Formula presented] that is, a function of two fundamental physical quantities such as the speed of light c and the Planck length lp. An application of this result to black hole (BH) physics allows one to estimate a new quantum limit to general relativity. It is indeed shown that, for every real Schwarzschild BH, the maximum gravitational acceleration occurs, without becoming infinite, when the Schwarzschild radial coordinate reaches the gravitational radius. This means that quantum corrections to general relativity become necessary not at the Planck scale, as the majority of researchers in the field think, but at the Schwarzschild scale, in agreement with recent interesting results in the literature. In other words, the quantum nature of physics, which in this case manifests itself through the GUP, appears to prohibit the existence of real singularities, in this current case forbiddiing the gravitational acceleration of a Schwarzschild BH from becoming infinite. 2025 The Authors -
Universality of black hole thermodynamics beyond the thermal approximation
Mathur and Mehta were awarded the third prize in the 2023 Gravity Research Foundation Essay Competition for their work demonstrating the universality of black hole (BH) thermodynamics. Their research established that any Extremely Compact Object (ECO) exhibits the same thermodynamic properties as a BH, irrespective of the presence of an event horizon. This significant finding was derived under the assumption that the BH emission spectrum behaves thermally. However, compelling arguments rooted in energy conservation and the BH back reaction indicate that the spectrum of Hawking radiation cannot be perfectly thermal. In this paper, we explore the extension of Mathur and Mehtas findings to scenarios where the radiation spectrum deviates from exact thermal behavior, utilizing the concept of the BH dynamical state. 2025 World Scientific Publishing Company. -
Diabe Maigre and Diabe Gras Revisited
[No abstract available] -
Analyzing Corporate Social Responsibility (CSR) Practices and Ethical Leadership in Promoting Sustainable Business: A Structured Equation Modelling Approach
This study investigates the pivotal role of Corporate Social Responsibility (CSR) practices and ethical leadership in promoting sustainable business development across diverse regions of India, specifically focusing on Goa, Kerala, and Gujarat. Employing a quantitative approach, data was collected from a sample of 300 respondents through a structured questionnaire using a five-point Likert scale. The survey assessed perceptions of CSR initiatives, the influence of ethical leadership, and their combined effect on sustainability outcomes within the regional business landscape. To analyze the data, Partial Least Squares Structural Equation Modeling (PLS-SEM) was conducted using Smart PLS software, enabling the evaluation of complex relationships and the validation of hypotheses. The findings reveal a strong, positive correlation between ethical leadership and CSR engagement, both of which significantly contribute to sustainable business practices. The study highlights that organizations adopting responsible and transparent business practices, guided by ethical leadership, are more likely to enhance their long-term sustainability and contribute to regional development. Furthermore, the research underscores the growing relevance of integrating CSR into core business strategies to align with sustainable development goals (SDGs). By incorporating a machine learning perspective, the study also suggests avenues for future research in predictive modeling and CSR impact assessment. This research adds value to the existing literature by contextualizing CSR within Indias varied socio-economic environments and offers practical insights for policymakers, business leaders, and sustainability advocates aiming to foster ethical and responsible business ecosystems across the country. The Author(s) 2025 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits the use, sharing, adaptation, distribution and reproduction in any medium or format, as long as appropriate credit to the original author(s) and the source is given by providing a link to the Creative Commons license and changes need to be indicated if there are any. The images or other third-party material in this article are included in the articles Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the articles Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. -
A review on feature selection algorithms
A large number of data are increasing in multiple fields such as social media, bioinformatics and health care. These data contain redundant, irrelevant or noisy data which causes high dimensionality. Feature selection is generally used in data mining to define the tools and techniques available for reducing inputs to a controllable size for processing and analysis. Feature selection is also used for dimension reduction, machine learning and other data mining applications. A survey of different feature selection methods are presented in this paper for obtaining relevant features. It also introduces feature selection algorithm called genetic algorithm for detection and diagnosis of biological problems. Genetic algorithm is mainly focused in the field of medicines which can be beneficial for physicians to solve complex problems. Finally, this paper concludes with various challenges and applications in feature selection. Springer Nature Singapore Pte Ltd 2019. -
Strategies to manage power outages and optimize energy cost for developing countries through supply and demand side management
Developing Countries like India, face huge amounts of power cuts starting from a few hours to few days. Some of the main reasons are transmission and distribution losses, theft, lack of smart infrastructure, poor newlinemaintenance of the existing systems, lack of smart algorithms etc., Due to this reason consumers have moved to back up systems to feed their loads. Tonnes of diesel has been consumed through generators, due to power cuts, because to this consumers are suffering to pay extra cost for electricity as their energy bills are an addition of grid cost as well as the back up cost.The load dispatch centers will implement load shedding leading to a compete outage in a few areas. As a result the consumers in these areas newlineimmediately turn on their back up sources leading to an increase in energy cost. There are no smart algorithms used either to distribute the power at the utility end or to manage the loads during an outage, especially when the loads are running on back-up supply. This report suggests some smart algorithms to provide partial power to consumers rather than a complete outage, load shifting techniques to the consumers at the time of an outage so that they can optimize their back up cost, last but not the least smart newlineintegration of solar power to the consumers to optimize the over all energy costs. newlineThe partial outage algorithm results, in supplying partial power to consumers rather than a complete outage condition this is achieved by implementing a simple unitary method based on the power consumption of the newlineconsumers. By supplying partial power, the consumers can save a certain amount of expenditure on back up cost especially from diesel generators and also utilize the on grid solar generation if the consumer is having a solar roof top installation. -
Strategies to manage power outages and optimize energy cost for developing countries through supply and demand side management
Developing Countries like India, face huge amounts of power cuts starting from a few hours to few days. Some of the main reasons are transmission and distribution losses, theft, lack of smart infrastructure, poor maintenance of the existing systems, lack of smart algorithms etc., Due to this reason consumers have moved to back up systems to feed their loads. Tonnes of diesel has been consumed through generators, due to power cuts, because to this consumers are suffering to pay extra cost for electricity as their energy bills are an addition of grid cost as well as the back up cost.The load dispatch centers will implement load shedding leading to a compete outage in a few areas. As a result the consumers in these areas immediately turn on their back up sources leading to an increase in energy cost. There are no smart algorithms used either to distribute the power at the utility end or to manage the loads during an outage, especially when the loads are running on back-up supply. This report suggests some smart algorithms to provide partial power to consumers rather than a complete outage, load shifting techniques to the consumers at the time of an outage so that they can optimize their back up cost, last but not the least smart integration of solar power to the consumers to optimize the over all energy costs. -
A Study on Influence of Celebrity Endorsement on Online Consumer Buying Behaviour with Special Reference to Food Products
Celebrity endorsements are now a common marketing tactic used by businesses in a wide range of sectors to increase brand awareness and sway customer behavior. Celebrity branding has been more prevalent in the food product industry, as businesses use the attraction and popularity of these individuals to influence customer choices. The purpose of this study is to examine the complex relationships that exist between consumer purchasing behavior and celebrity endorsement in the context of the food sector. The study takes a multipronged approach, fusing insights with quantitative data to explore the nuances of consumer reactions to celebrity endorsements in the food product space. Through the analysis of a wide variety of food goods, the study aims to clarify the varying effects of celebrity endorsements in different categories and customer groups. In addition, the initiative aims to investigate the psychological factors that underlie consumer perceptions and actions in reaction to food sector celebrity endorsements. To understand their complex impact on consumer decision-making processes, factors including consumer-brand connections, celebrity credibility, and congruence between the celebrity and the recommended product will be closely examined. By conducting a thorough analysis of empirical data and theoretical frameworks, this research project seeks to offer significant insights. A descriptive research methodology employing Quantitative analysis was considered for the study. A sample of 384 respondents from across Bangalore was chosen using the non-probability sampling method. A well-structured questionnaire was prepared, and the survey method of data collection was used. The questionnaires were collected using both online and offline methods. The data collected was analysed using the SPSS, AMOS and Andrew Hayes process macrosModel 1 with multi categorical variables. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Contextual Marketing Insights from Literature Review and Implications
The proliferation of new technologies, such as personal digital assistants, or PDAs, and interactive television, amongst other things, has opened a wealth of potential for effectively targeting customers in real time while they are present in a virtual environment. This opens a lot of opportunities for businesses. Customers have access to the World Wide Web and the Internet through their wireless devices, no matter where they are or when they want to use them. Contextual marketing, often referred to as CM and commonly abbreviated as CM, is a strategy that entails providing customers with information that is both individualized and pertinent to their present position at the precise moment when customers need such information. This strategy is essential for luring in new clients and keeping the ones you already have. Clients in an economy that is already oversaturated with information demand not only knowledge, but also products and services that are relevant, personalized, and contextual at the time of purchase. The purpose of this research is to conduct a comprehensive review of the existing literature on contextual marketing in the preceding 20 years, focusing on both the global and the Indian contexts. The development and expansion of contextual marketing, as well as its contemporary consequences regarding earlier published works, are investigated. In the study, the systematic literature review approach of searching for relevant material is used. This research was carried out with the intention of conducting a comprehensive assessment of the existing literature with the purpose of ensuring that the fullest possible list of relevant studies is taken into consideration. To compile the papers comprising the systematic review, an algorithmic search strategy was utilized. An analysis of the previous research was carried out with the use of online databases such as Elsevier, Routledge, Emerald Group, Springer Nature, Sage, Directory of Open Access Journals, Semantic Scholar, Wiley, Academia, JSTOR, and Guildford Press. The study reaches its conclusion by providing a tangible theoretical foundation for contextual marketing while also outlining the ramifications that contextual marketing has in the modern digital world. Authors. -
Effects of dark matter in red giants
Dark matter (DM) which constitutes five-sixths of all matter is hypothesized to be a weakly interacting non-baryonic particle, created in the early stages of cosmic evolution. It can affect various cosmic structures in the Universe via gravitational interactions. The effect of DM in main sequence stars and stellar remnants like neutron stars and white dwarfs has already been studied. Red giant phase is a late stage of the evolution of stars. In this work, we study, low-mass red giants stars with admixture of DM and how this can effectively change the intrinsic properties of red giants such as their luminosities, temperatures and lifetimes. 2020 Elsevier B.V.