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Challenging the dichotomy: Examining parent socialization goals and behaviors regarding positive affect in Bengaluru, India
Parents' responses to youth positive affect (PA) have been dichotomized as enhancing and dampening. This dichotomy may not fit with cultural scripts about emotion in communities where a balance between positive and negative emotions is preferred. To assess parents' PA socialization in a culturally relevant manner for urban, middle-class families in India, we developed a new measure of parental goals about happiness and adapted the Responses to Adolescent Happy Affect Scale (RAHAS). We tested the psychometric properties of these measures and assessed relations among parental socialization goals and behaviors across 5 months. Our sample included 377 adolescent (84.4% girls; Mage = 14.47) and parent (63.9% mothers) dyads, primarily Hindu, in Bengaluru, India. Two parental goals factors emerged: Balancing and Controlling and Maximizing and Sharing happiness. Three factors emerged for the adapted RAHAS. Two factors were the same as the original RAHAS: (a) Enhancing strategies to upregulate PA and (b) Dampening strategies to downregulate PA. A third factor emerged: (c) Balancing strategies, which were culturally salient for families in India and aimed for moderation. Among socialization behaviors, Enhancing and Dampening were inversely related, while Balancing related positively to each. Balancing and Controlling goals were only correlated to Balancing behaviors. Maximizing and Sharing goals were correlated positively with Enhancing and inversely with Dampening. Longitudinally, Maximizing and Sharing and Balancing and Controlling goals were related to a significant increase and marginal decrease in Dampening, respectively. Challenging the dichotomy, our findings highlight the relevance of balancing to theories of PA socialization. 2024 The Author(s). Journal of Research on Adolescence published by Wiley Periodicals LLC on behalf of Society for Research on Adolescence. -
Interventions to help students find a deeper purpose during their academic journey
This comprehensive exploration delves deeply into academic interventions aimed at guiding students toward a more profound sense of purpose throughout their educational journeys. It emphasizes that education offers a unique opportunity for students to discover their passions, interests, and aspirations beyond textbooks and exams. The interventions discussed, including mentorship, career counseling, experiential learning, and self-discovery exercises, are meticulously designed to empower students to recognize their distinct strengths and interests. These interventions not only aim to facilitate academic excellence but also enable students to pursue careers aligned with their core values and aspirations. The exploration scrutinizes effective strategies, programs, and support mechanisms, addressing challenges students face when making career choices, and culminates in recommendations for educators, career counselors, and policymakers interested in enriching students' educational experiences and fostering purpose-driven learners. 2024, IGI Global. -
Effect of heavy metals on the pigmentation and photosynthetic capability in Jacobaea maritima (L.) Pelser & Meijden
Photosynthesis is a fundamental process in plants that enables them to produce their own food. However, this process can be influenced by multiple factors including external factors such as sunlight, nutrients availability and gas concentrations. The present study aimed to investigate the effects of heavy metal stress on the plant Jacobaea maritima (L.) Pelser & Meijden. Three different heavy metals, namely cadmium, chromium, and lead, were applied to the plants at five concentrations ranging from 50-250 ppm (50, 100, 150, 200, and 250). The growth of the plants was observed, and several parameters including net photosynthetic rate (Pn), transpiration rate (E), leaf stomatal conductance (C), and the photosynthetic active radiation (PAR) were measured. The results revealed that the chlorophyll content was higher in the Cr150 concentration (5.470.4). The chlorophyll values for Pb-100 (9.40.35) and Pb-250 (9.80.26) were in close proximity to each other. The Cd-100 concentration showed the highest chlorophyll content. The net photosynthetic rate was least affected in Pb-150 (30.980.75), while Cr-100 (4.050.09) exhibited the greatest impact. Transpiration rate increased slightly in plants treated with Pb, but significantly decreased in Cd-treated plants. The Cr-50 concentration (0.190.02) showed the lowest transpiration rate. Leaf stomatal conductance was reduced significantly in all treated plants, with Cr-100 showing the least variation (2298.251.85). The photosynthetic active radiation capability was reduced in all treated plants, with Pb-treated plants exhibiting nominal reduction and Cd- and Cr-treated plants experiencing substantial reduction. Statistical analysis confirmed significant variations in the measured parameters following heavy metal treatment. 2023 The Author(s) -
Production of bio-diesel from non-edible dried fruits of lagerstroemia speciosa
Rapi d urbani zat i on and i ncr ease i n population have evoked tremendous attention for biofuelsproduction to combatshortage of fuels, environmental concerns, foreign exchange savingsand socioeconomic issues.In recent years bi odi esel product i on f rom agro-i ndust ri al feedstocks such as waste vegetable oil, animal fat, grease, non-edible fruit oils etc.,acquired prominent place to fulfil the gap between production and demand. The present investigation has been undertaken to explore a noveland environmentally friendly process for developing biodiesel production t echnol ogy by subj ect i ng dr i ed f r ui t s of Lagerstroemia speciosa to mild ultrasonication at 33KHz for 20 min at 352Cfor obtaining high lipid yield, precursor for the production of biodiesel by transesterification.The biodiesel compounds 2,4-di-tert-butylphenol, hexadecanoic acid methyl ester, 9,12-octadecadienoic acid (Z, Z) methyl ester, 9-octadecenoic acid methyl ester, methyl stearate, cis-11,14-eicosadienoic acid methyl ester, 18-methylnonadecanoate were recognized as the main compounds in GC-MS analysis. 2020, Association of Biotechnology and Pharmacy. All rights reserved. -
Mediating role of self-concept on character strengths and well-being among adolescents with specific learning disorder in India
Background: Adolescents with Specific Learning Disorder (SLD) are at higher risk of academic underachievement, stigmatization, and mental health issues. However, the complete elimination of disorder-related deficits and external challenges is an impracticable solution for enhancing their well-being. Aim: The study adopts a strength-based approach to understand the role of an innate factor, i.e., self-concept, in the association between character strengths and well-being of adolescents with SLD. Methods: A correlational research design following a mediation analysis was adopted to examine the association between the study variables on a sample of 115 adolescents with SLD from India. Results: Self-concept functioned as a partial mediator between the life-satisfaction construct of well-being and six character strengths: Appreciation of beauty and excellence, Perseverance, Judgment, Leadership, Perspective, and Zest. Gender differences were identified with regard to the study variables. Conclusions and implications: Self-concept of adolescents with SLD could partly contribute to enhanced character strengths awareness to protect well-being. Further, the crucial role of internal factors like self-concept and character strengths in improving the well-being of this population was highlighted. Thereby encouraging future research on SLD to adopt approaches that focus on innate strengths rather than deficits and external sources of well-being. 2022 Elsevier Ltd -
Traffic Management in Forest and Ecosystem Conservation. A Study on NH 766 Through Bandipore National Park and Proposing a Traffic Management Plan with Alternate Route Consideration
Transportation network is inevitable in the developing world. In India where we have a rich forest cover, many of the roads are passing through eco-sensitive areas such as national parks and wildlife sanctuaries. There are issues being reported due to these roads passing through the eco-sensitive areas such as animal deaths due to road accidents, loss of habitats, fragmentation of ecosystems, and loss of forest cover. The CalicutKollegal national highway, NH766 is passing through Bandipore national park on the stretch which connects Sultan Bathery and Gundelpette. Recently, a conflict had risen between environmental activists and the public for imposing a complete traffic ban along the NH766 passing through the Bandipore NP. A baseline study had conducted on the NH766, and the impact of the same on the ecosystem existing is analyzed through the data collected. A network analysis is performed on the alternate route available for bypassing the traffic. Traffic management plan and policies are derived out of the analysis on the baseline data collected and the inferences drawn from the network analysis performed on the alternate routes. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Agile HR-Based Employee Management Practices for Improving Hospital Service Delivery
The effective management of the human resources of a hospital is essential for the delivery of high-quality healthcare services, a task that has become incredibly challenging in the wake of the COVID-19 pandemic in India. The efficient management of employees is a top priority in healthcare organisations, which is why human resources (HR) plays a pivotal role in their functioning. It includes strategies for improving employee engagement, productivity, motivation, adaptability to change, welfare, and overall health in addition to traditional HR concerns. As part of this process, conducive working conditions must be created, talent management practices must be implemented, and flexibility must be provided to meet the evolving needs of healthcare professionals. The adoption of Agile HR practices is gaining momentum among hospitals in response to the dynamic challenges they face. In the Agile approach, the development cycle of 'Plan, Do, Check, and Act (PDCA)' enables real-time responsiveness. Through a qualitative research design with in-depth interviews conducted through purposive sampling, this study explores the implementation of Agile HR practices in hospitals located in Kerala and Karnataka. The research presents a novel human resources operating model, termed the 'Agile HR Model,' which advocates the integration of Agile principles into the management of healthcare employees. A key objective of this model is to enhance hospital service delivery by embracing agility and adaptability. The study provides HR managers and healthcare professionals with insights into enhancing the delivery of healthcare services. 2024, Iquz Galaxy Publisher. All rights reserved. -
Agile HR "lite": Adapting agile principles to HR
This chapter explores how agile practices, called agile "Lite, " are evolving within human resources (HR) departments and how they may affect organizational agility. In addition to highlighting the benefits of agile HR principles, the study offers organizations self-assessment questions to gauge their readiness for implementing agile HR practices. The insights provided are designed to help leaders foster dialogue, address concerns, and facilitate a smooth transition to agile HR practices. The chapter examines gaps in the understanding of agile implementation in HR, raises critical questions, and provides organizations with a self-assessment tool to assist in the process. It emphasizes the importance of agile principles for transforming human resources and provides valuable insight for organizations grappling with agile approaches. Overall, it contributes to a better understanding of agile principles and offers a readiness assessment for implementing them in HR. 2024, IGI Global. -
A Conceptual Framework for Agile as HR Operational Strategy
Purpose: This paper examined Agile human resource (HR) as an operational strategy, emphasizing the relationships between operational, HR, and organizational strategies. It develops a collaborative culture, establishes learning organizations, supports agile team design, and improves agile strategic behavior. Agile HR has been underutilized in academic literature despite its potential, highlighting the disconnect between practitioner objectives and HR research. Methodology: A conceptual framework for Agile HR was developed using qualitative secondary research methods. Secondary sources included books, journal articles, research papers, reports, and whitepapers. A thematic analysis was used to code the data and identify themes relevant to Agile HR, and concept mapping was used to illustrate the relationships between the key concepts. Findings: A conceptual framework for Agile HR strategies was developed to foster an agile organizational culture and equip employees with agile strategic behaviors. Organizations will be able to establish and preserve a durable competitive edge in quickly changing marketplaces by using these tactics. Practical Implications: This paper provided insights into implementing agile HR operational strategies. Continuous iteration was used to enhance processes, boost employee experiences, and improve organizational agility to implement these strategies. Originality: While existing literature explored the relationship between organizational agility and dynamic capabilities, it largely overlooked the concept of agile behavior. This research addressed this gap by proposing a framework for flexible adjustments to human and organizational capabilities. It was a targeted approach for agile management aligned with organizational, HR, and agile strategies, emphasizing scalability. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
FIN2SUM: Advancing AI-Driven Financial Text Summarization with LLMs
In the modern financial sector, the rapid digitalization of financial reports necessitates efficient and reliable text summarization tools. This research introduces FIN2SUM, a novel framework designed for summarizing the managerial analysis and discussion sections of 10-K reports from top NASDAQ-listed companies. The study aims to evaluate Large Language Models (LLMs) in financial text summarization, highlighting LLAMA-2's adeptness in processing complex financial information, thus making FIN2SUM a vital tool for analysts and decision-makers. The methodology includes a thorough evaluation of three state-of-the-art LLMs - LLAMA-2, FLAN, and Claude 2 - using BERT and ROUGE scores. The research concludes that FIN2SUM, enhanced by LLAMA-2, significantly advances AI-driven financial text summarization. 2024 IEEE. -
TOWARDS A SUSTAINABLE FUTURE: Need for Posthuman Ethics in the Anthropocene Era
Ethics, which constitutes principles that guide human conduct, deserves particular attention in this era of the Anthropocene, when human actions greatly influence ecology. Renaissance humans have hegemonised humanistic ethics of living and interacting with the world since the Enlightenment. While exalting human exceptionalism, humanism has relegated all other forms of existence to a subservient taxonomy, categorising them as raw material for human empowerment. The self-exalted autonomous subject, homo sapiens, faces the threat of extinction in the wake of unprecedented and violent ecological reactions. The exponential growth of the agency of intelligent machines also calls to question the autonomous human agency propagated by humanism. A paradigm shift is the moments need; this paper suggests posthuman ethics as an alternative. The new worldview, post-humanism, places the homo sapiens in relation to the rest of the universe. Philosophical post-humanism, proposed by Francesca Ferrando, foregrounds posthuman ethics that are post-humanistic, post-anthropocentric, and post-dualistic. They form a roadmap towards a sustainable future. 2023 Journal of Dharma: Dharmaram Journal of Religions and Philosophies. -
PHILOSOPHICAL POSTHUMANISM: A RENEWED WORLDVIEW AND A METHODOLOGICAL FRAMEWORK FOR CRITICAL ANALYSIS
Exponential technological advances capture the zeitgeist of contemporary society. Machines are increasingly gaining agency, which helps in the deconstruction of the humanist notion of humans. Society takes a posthuman turn with large-scale humanmachine imbrication and nonhuman agency. The posthuman turn is also reflected in the academic world, which is seriously contemplating the integration of posthumanities. The philosophical posthumanism of Francisca Ferrando is a posthuman theory with three constituent elements: post-humanism, post-anthropocentrism, and post-dualism. Post-humanism revisits the definition of human that has given rise to marginalization within the human species. Post-anthropocentrism critiques the human superiority and exceptionalism that have led to the marginalization of other species. Post-dualism revisits the dualistic mindset that allows hierarchical sociopolitical constructions. Ferrando presents a vision of a posthuman utopian society that recognizes pluralistic voices within the human species on egalitarian terms, accepts and values the agency of nonhuman actors, and sheds the dualistic view of life that keeps humans and nonhumans on either side of the binary system. Philosophical posthumanism can be suitable as a methodological framework to analyze the posthuman discourses in literary works, specifically in science fiction. 2024 The Pennsylvania State University, University Park, PA. -
Smart pollution monitoring system
The world has travelled a long way through the industrial revolution. One of the consequences that the industries and its different forms gave to humanity is pollution. The environment that we live is being polluted in different ways. Different parts of the world are already experiencing air pollution as a matter of concern. The increasing amount of industries and the emission of gas by the vehicles cause much damage to the air. We are in a situation where we need to monitor the amount of pollution in our areas of living and working. In order to monitor pollution, the paper proposes an efficient and low-cost method with the help of the internet of things (IoT). The system is designed to monitor the levels of CO, CO2, smoke, alcohol, NH3, temperature and humidity. The various alarms and notification are arranged in such a way that the information is given when there is any sign of threat. The remote monitoring is made possible with dedicated website and mobile app. BEIESP. -
Twitter data analysis using hadoop ecosystems and apache zeppelin
The day-to-day life of the people doesn't depend only on what they think, but it is affected and influenced by what others think. The advertisements and campaigns of the favourite celebrities and mesmerizing personalities influence the way people think and see the world. People get the news and information at lightning speed than ever before. The growth of textual data on the internet is very fast. People express themselves in various ways on the web every minute. They make use of various platforms to share their views and opinions. A huge amount of data is being generated at every moment on this process. Being one of the most important and well-known social media of the present time, millions of tweets are posted on Twitter every day. These tweets are a source of very important information and it can be made use for business, small industries, creating government policies, and various studies can be performed by using it. This paper focuses on the location from where the tweets are posted and the language in which the tweets are written. These details can be effectively analysed by using Hadoop. Hadoop is a tool that is used to analyze distributed big data, streaming data, timestamp data and text data. With the help of Apache Flume, the tweets can be collected from Twitter and then sink in the HDFS (Hadoop Distributed File System). These raw data then analyzed using Apache Pig and the information available can be made use for social and commercial purposes. The result will be visualized using Apache Zeppelin. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Interactions between emotional and spiritual intelligence and their effects on employee performance
The association among worker behavior, spiritual intelligence, emotional intelligence, and system effectiveness is explained by this study. Understanding how others communicate and being aware of how one's own emotions affect others around you are all characteristics of emotional intelligence. Spiritual intelligence, which is a higher level of intelligence, reveals one's actual attributes and abilities. As company's most asset, the effectiveness of employee behavior has a significant impact on the company's ability to survive and thrive. In contrast to other facets of human conduct, employee conduct is distinguished by more formal behavior. This study aims to determine whether those with emotional and spiritual intelligence perform well at work. This research also aims to comprehend the behavior of emotionally intelligent and spiritually inclined people at work. Attempts are made in this study to ascertain whether higher levels of spiritual and emotional intelligence might boost the efficacy of these abilities. In this study, productivity at work is the dependent variable, whereas emotional intelligence and spiritual intelligence are independent variables. The parameters that can assess the variables were established using a literature review and a few common surveys. An organized survey that considers the variables is developed to gather information from the working class. To determine the link between the variables chosen for this study, the gathered data was analyzed using statistical approaches such as partial correlation and correlation. 2024 Author(s). -
Behavioral Time Management Analysis: Clustering Productivity Patterns using K-Means
This paper focuses on investigating the efficiency profile through the three-time management behaviors using the K-Means clustering method. In the case of the study, the data gathered from digital time management tools for 100 participants for one month was preprocessed to distil features surrounding productivity, including daily working hours, focus time, break duration and frequency, and task completion ratios. The four groups that were agreed upon through K-Means clustering differed in terms of time management behaviours and productivity. Insert table 6 IT cluster 1 worked long hours with high productivity owing to the fact that they are IT professionals but had a tendency of multitasking. Employment Cluster 2 (marketing and sales professionals) achieved both personal and work-related self-care but identified the need for more concentrated time per task. As for the differences in the breaks, it can be noted that cluster 3 (management and administration personnel) had significantly higher task completion times and focus times, but their break intervals needed to be optimized. Hypothesis 2 stated that there will be many hours of leisure for Cluster 4 (students and interns) imply that their work hours should be adjusted to several small tasks a day, and their rates of task completion should be increased. From the study, it is possible to stress that time management should be considered as an individual activity that requires specific approaches to the given subject area and to the learner in particular. Specifically, demographic profiling identified the roles that age and occupational status may play in averting or exacerbating productivity deficiencies: insights that could be actionable in specific scenarios. The implications of this research offer practical insights into individual and organizational time management, as the usability aspects of machine learning techniques were considered and their applicability established, which further extends the scope of time management by revealing patterns and improving time management plans and practices. 2024 IEEE. -
Optimal allocation algorithm of marketing resources based on improved random forest
Random Forest algorithm is an ensemble learning algorithm that classifies data by combining multiple decision trees. It has a wide range of applications and is not easy to overfit. It has a wide range of applications in medicine, bioinformatics, management and other fields. By studying the Cobb-Douglas sales function, it is found that it can only analyze the static allocation of marketing resources, but cannot describe the dynamic changes. Enterprise marketing resource management runs through the enterprise management from beginning to end. The research on marketing resource management is helpful for enterprises to grasp and control the whole process of marketing resource management from the overall and overall level, and has important theoretical value and reality for enterprise marketing management activities. significance. In the vast majority of enterprises in our country, the size of advertising promotion expenses and the number of salesmen is often determined based on the experience and subjective assumptions of decision makers, so it is difficult to say that they are optimized. This paper starts with determining the optimal advertising budget and the number of salespeople, and conducts applied research on the optimal allocation of marketing resources. 2023 IEEE. -
Machine Learning Integration for Enhanced Solar Power Generation Forecasting
This paper reviews the advancements in machine learning techniques for enhanced solar power generation forecasting. Solar energy, a potent alternative to traditional energy sources, is inherently intermittent due to its weather-dependent nature. Accurate forecasting of photovoltaic power generation (PVPG) is paramount for the stability and reliability of power systems. The review delves into a deep learning framework that leverages the long short-term memory (LSTM) network for precise PVPG forecasting. A novel approach, the physics-constrained LSTM (PCLSTM), is introduced, addressing the limitations of conventional machine learning algorithms that rely heavily on vast data. The PC-LSTM model showcases superior forecasting capabilities, especially with sparse data, outperforming standard LSTM and other traditional methods. Furthermore, the paper examines a comprehensive study from Morocco, comparing six machine learning algorithms for solar energy production forecasting. The study underscores the Artificial Neural Network (ANN) as the most effective predictive model, offering optimal parameters for real-world applications. Such advancements not only bolster the accuracy of solar energy forecasting but also pave the way for sustainable energy solutions, emphasizing the integration of these findings in practical applications like predictive maintenance of PV power plants. The Authors, published by EDP Sciences, 2024. -
Ethical Integrity and Performance in Isolation: An Intrinsic Motivation Mediated Focus
This research investigates the mediating influence of intrinsic motivation on employee isolation and job performance of work-from-anywhere Information Technology professionals in India. Intrinsic motivation and ethical integrity are fundamentally intertwined, each enhancing and reinforcing the other. The lenses of the self-determination theory underpin the study. The research questions covered in the study are: (a) Does employee isolation affect job performance? (b) Does intrinsic motivation during employee isolation affect job performance? (c) Does intrinsic motivation mediate the connection between employee isolation and job performance? The SEM based approach survey was conducted to collect data from 410 IT employees who work from anywhere for a minimum of one or more days per week. The findings indicate that (a) employee isolation has a negative influence on job performance, (b) intrinsic motivation significantly influences job performance during employee isolation, and (c) intrinsic motivation mediates indirect-only (full mediation) the link between employee isolation and job performance. The employers need to build upon intrinsic motivation tools for work-from-anywhere Information Technology professionals, which ensures employees relatedness by giving rewards, a sense of purpose towards assignments, autonomy through intrinsic motivation and ethical integrity, and developing IT expertise, which significantly increases performance among employees in work isolation situations. Through the lens of self-determination theory, the research contributes to the work-from-anywhere literature by exploring the relations between employee isolation, job performance, and the mediating influence of intrinsic motivation on IT professionals in India in the current scenario. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Sustainable human resource management and job satisfactionUnlocking the power of organizational identification: A cross-cultural perspective from 54 countries
Sustainable human resource management is gaining importance in organizations due to its role in developing a sustainable work environment and well-being. This paper discusses the relationship between employee perceptions of sustainable human resource management and job satisfaction in 54 countries. We propose that sustainable HRM is positively associated with job satisfaction but that this relationship is moderated by employees' identification with the organization and country-level individualismcollectivism. Thus, we suggest national culture functions as a second-level moderator of the relationship of sustainable HRM with organizational identification on job satisfaction. Findings from the multi-level analyses using data from 14,502 employees nested within 54 countries provided support for our hypotheses, namely that employee perceptions of sustainable HRM were positively associated with job satisfaction and that this relationship was more pronounced for employees with lower levels compared to higher levels of organizational identification in individualistic rather than collectivistic countries. These findings bear important implications for both theory and practice. 2024 ERP Environment and John Wiley & Sons Ltd.