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Impact of social-emotional learning intervention on emotional intelligence of adolescents
Adolescents face a variety of challenges, some of which include social, emotional, cognitive, and interpersonal. In order to help them with their emotions, adolescents should be taught a variety of skills to regulate and handle emotions better. With this intent in mind, a social-emotional learning (SEL) intervention module was developed by the researchers. This module covered aspects related to self-awareness, social awareness, responsibility, empathy and decision-making. These components also form the basis for emotional intelligence (EI) which is defined as the ability to perceive, understand, and regulate emotions of oneself and others. The present study aimed to understand if there arises any difference in scores of EI post the SEL intervention. Second, the gender differences with respect to EI were also be analyzed. The EI Scale (2014) was administered to 80 students between the age group of 13-14 years, from a CBSE school in Chennai. These adolescents were selected through the convenience sampling, and the four subscales were also analyzed. The findings from the study revealed a significant difference in scores from pretest to posttest (t = -4.66, P < 0.05). With respect to gender, no significant difference was found. On the subscales, two of four subscales showed significant difference in understanding emotions (Z = -4.63, P < 0.05) and handling emotions (Z = -4.023, P < 0.05). Indian Journal of Social Psychiatry. All Rights Reserved. -
Impact of Station Rotation Model in Enhancing Writing Skills and Academic Performance of Primary School Children
The core pursuit of the research is to evaluate the efficacy of technology-integrated English language instruction using one of the blended learning approaches. The intrusion of technology in education has increased rapidly ever since COVID-19, which altered the spheres of learning and teaching. The cross-section of education and technology has become higher and more robust than before because of the pandemic, which led to the exploration of varied dimensions in technologyintegrated teaching. The field of English language teaching has also undergone a significant transformation due to the advent of technology. The introduction of interactive multimedia tools, online platforms, and language learning applications has enabled educators to engage students newlinein more effective ways. Virtual classrooms have brought about a global connection, breaking geographical barriers and fostering cross-cultural communication. The use of adaptive learning systems and AI-driven newlinelanguage applications has personalised learning experiences, catering to individual needs and pace. Furthermore, technology has provided immersive experiences through virtual and augmented reality, which enhance language acquisition by providing real-life contexts for practice. Thus, technology has diversified teaching approaches and made English language learning more accessible, interactive, and tailored to the needs newlineof diverse learners. However, learners from socio-economically disadvantaged backgrounds are deprived of these advantages that could newlinehelp in improving their English language proficiency. The aim of the study is to evaluate the efficacy of technologybased English language instruction that integrates one of the blended learning approaches for improving the writing skills of primary school students from socio-economically deprived backgrounds who have little newlineor no exposure to English language learning outside of their classrooms. -
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Impact of Technology Readiness and Techno Stress on Teacher Engagement in Higher Secondary Schools
Rapid technology advancements resulted a fundamental shift in the education sector which redefined the teaching-learning process and teacher engagement. Based on numerous studies on work engagement models and technology readiness, this study explores, how the teachers' readiness to embrace educational technologies, impact on teacher engagement. With stratified cluster sampling model, data were collected from principals, managers, students and 122 teaching staff from the Higher Secondary Schools of Kerala participated in this quantitative study using standardized tools. The study affirmed that age has negative relation with technology readiness and teacher engagement shows an organic technology adoption trend than a disruptive style. Teachers were highly engaged with students-colleagues and varied across experience/age groups. Technology readiness factors positively impacted on social engagements with students-colleagues. As education technology usage is exponential, more future research is needed. 2021 Research Group Education and Virtual Learning (GREAV). All rights reserved. -
Impact of terminal group on azobenzene liquid crystal dimers for photo-responsive optical storage devices
Three new series of photo responsive dimers bearing different terminal functional groups (-CN, -COOEt, -OMe) and variable aliphatic spacers have been synthesized and investigated in detail. The molecular structures of the new materials were proved using different spectroscopic techniques and their liquid crystal self-assembly was characterized using differential scanning calorimetry (DSC), polarized light microscope (POM) and X-ray diffraction (XRD). Moreover, their photo switching behaviour was investigated in details in solution. The results revealed that, almost all members of the dimeric materials are mesomorphic exhibit either nematic or both smectic A and nematic phases. Under UV illumination the materials show interesting photo-switching properties, reaching a photo-stationary state in 40 s and a thermal back-relaxation time of approximately 35 h in solution. Finally, a fabricated device authenticates the potential of the reported materials for optical storage devices. 2023 Elsevier B.V. -
Impact of the COVID-19 outbreak on the currency exchanges of selected countries
The paper aims to analyse the impact of the COVID outbreak on the currency market. The study considers spot rates of seven major currencies (i.e., EUR/USD, USD/JPY, GBP/USD, AUD/USD, USD/CAD, USD/CHF, and CHF/JPY). To capture the impact of the outbreak on returns and the volatility of returns of seven currencies during pandemic, the study has segregated in two window periods (i.e., pre- [1st Jan 2019 to 31st Dec, 2019] and post-outbreak of COVID-19 [1st Jan, 2020 to 22nd Dec, 2020]). The study has applied various methods and models (i.e., econometric-based compounded annual growth rate [CAGR], dummy variable regression, and generalized autoregressive conditional heteroskedasticity [GARCH]). The result of the study captures the negative impact of the COVID-19 pandemic on three currencies-USD/JPY, AUD/USD, and USD/CHF-and positive significant impact on EUR/USD, GBP/USD, USD/CAD, and CHF/JPY. Investors can take short position in these while having long position in other currencies. The inferences drawn from the analysis are providing insight to investors and hedgers. Copyright 2022, IGI Global. -
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Impact of the operational parameters of a dual fuel engine operating on a blend of Water Hyacinth biodiesel and Mesua ferrea biodiesel with hydrogenA clean development mechanism
The study was conducted to uncover the emission, combustion, and performance features of the blend of Water Hyacinth biodiesel and Mesua Ferrea seed oil biodiesel with Hydrogen addition on a diesel engine in dual fuel. Pilot fuel is a blend of 50% Water Hyacinth biodiesel and 50% Mesua Ferrea seed oil biodiesel. A single-cylinder compression ignition engine was modified to operate on dual fuel mode with hydrogen. Variations of engine operating parameters such as injection timing, and engine load were performed. The study was conducted with three pilot fuel injection timings (23, 26, and 29bTDC) and variable engine loadings (20%100% with an increment of 20%) at an injection pressure of 200 bar and compression ratio of 18. The results indicated that the maximum brake thermal efficiency of 28.11% and a replacement of liquid fuel by 85% was obtained for the WHMF blend powered dual fuel diesel engine at pilot fuel injection timings of 26bTDC at 100% load. HC, CO, and smoke emissions are reduced with hydrogen due to faster combustion. On the other hand, there was a slight increase in NOx emissions noticed with hydrogen enrichment. 2024 Hydrogen Energy Publications LLC -
Impact of the Pandemic on Entrepreneurial Ecosystems
Entrepreneurship is crucial for the global economy, as it helps ideas develop from the drawing board to an executable stage. An excellent economic state of a country is the outcome of a well-designed system where the stakeholders interact with each other towards innovation and social development. This study is an empirical investigation into the COVID pandemic and its effects on the Indian entrepreneurial eco-system. Primary data was collected from 155 entrepreneurs of India, who were independent and first movers of entrepreneurs in their family during COVID times. Poor planning, exhausting resources, a slowdown in productivity, lower employment, and employee retention were the after-effects of the pandemic. It was found that the pandemic negatively affected the entrepreneurial ecosystem and its stakeholders. However, constant support by the government and well-designed policy measures would help assist existing businesses affected due to COVID-19 and encourage the entrepreneurial future in India. Copyright 2022, IGI Global. -
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Impact of Traditional Practices on Domestic Violence among the Women of the East Khasi Hills
Khasi hills is situated in the northern part of India. Many issues of domestic issues are reported in this area. The reasons, intensity or frequency of domestic violence varies according to the cultural background and socio-economic class. In many societies, women face a lot of issues associated with the culture and traditional practices of that community. According to certain traditional practices followed in societies, women are expected to conduct herself according to what has been taught and practice for generations. Violations of those norms lead to severe consequences. Domestic violence is also an outcome of such norms followed in the society. Therefore, the present study focuses on understanding the traditional practices followed in the Khasi community and its effect on domestic violence. For the study, the researcher selected 150 women from East Khasi Hills Districts. A descriptive research design is used for the study. Convenient sampling method was used along with a close-ended questionnaire for gathering information. Descriptive statistics, Man-Whitney test, Chi-Square, Spearman Correlation were used for analysis of the different traditional practices and type of domestic violence. The research finding indicates that women in the Khasi hills faced physical and psychological violence, in which psychological violence is found to be more prominent. Inheritance is one of the factors that have a significant impact on domestic violence. The traditional practices followed by the Khasi community is a reason for women being abused by their spouse. Effective intervention programme and Capacity Building for different Stakeholders on the different causes and preventive measures on incidence of domestic violence can bring about positive change in matters related to domestic violence towards women in the state of Meghalaya. -
Impact of transformational leadership on the affective commitment of employees in the service sector /
International Journal of Recent Technology And Engineering, Vol.8, issue 4, pp.1388-1393, ISSN No: 2277-3878. -
Impact of Urban Environmental Quality, Residential Satisfaction, and Personality on Quality of Life among Residents of Delhi/NCR
Environmental quality and Sustainability seek to preserve, enhance and protect our environmental resources that directly aim at providing an amicable quality of life and sustainable development for the upcoming generations. Considering the hazardous environmental urban quality in Delhi NCR, air pollution is the topmost factor deteriorating health of the population in general. The urban air database by WHO reports Delhi exceeding the maximum PM10 limit by almost 10-times at 292 ?g/m3. Noticing that an individual's surroundings have an enormous value in human lives, the study aimed at understanding the impact of urban environmental quality, residential satisfaction, and personality on the quality of life among residents of Delhi NCR. In addition, we also track the environmental worldviews to attitudes on pro-environmental behavior in understanding sustainability. The results from the SEM model indicated that one index rise in RESS lead to a fall in quality of life by 0.029-point value whereas one index rise in personality could enhance the quality of life by 0.15-point value. Pro-Environmental Behaviors and Urban Environmental factors did not showcase any significant impact on the quality of life. The Electrochemical Society. -
Impact of use of technology on student learning outcomes: Evidence from a large-scale experiment in India
One of the Sustainable Development Goals (SDG-4) adopted by the United Nations focuses on ensuring inclusive and equitable quality education for all. Most research on impact of technology on learning outcomes depends on designs that require low student-to-computer ratio and extensive retraining of teachers. These requirements make the designs difficult to implement on a large scale and hence are limited in terms of inclusivity and ability to provide equitable opportunity for all. Our paper is the first to evaluate an intervention design that is aimed at dealing with these concerns. We conduct a large-scale randomised field experiment in 1823 rural government schools in India that uses technology-aided teaching to replace one-third of traditional classroom teaching. Even with high student-to-computer ratios and minimal teacher training, we observe a positive impact on student learning outcomes. The study thus presents a low cost, resource-light design, which can be implemented in a developing country on a large scale to address the problem of poor learning outcomes, thereby making the intervention inclusive and equitable in line with the spirit of SDG-4. 2019 Elsevier Ltd -
Impact of User-Generated Content on Purchase Intension for Fashion Products : A Study on Women Customers in Bangalore
Indian Journal of Marketing, Vol. 46, Issue 7, pp. 23-35, ISSN No. 0973-8704 -
Impact of user-generated content on purchase intention for fashion products: A study on women consumers in Bangalore
The advent of online media has been instrumental in providing consumers with quick, relevant, and convenient information on products and services. The success of such media has been established for businesses such as tourism, automobile, and consumer electronics- wherein consumers tend to decide on final purchases based on user - generated content (UGC) such as customer reviews and feedback rather than on traditional advertising media. With short lead times, quick turnaround of products, and frequent changes in offerings, the fashion industry is also exploring the use of such user-generated content for marketing its products. This study sought to explore and understand the relevant factors that draw consumers towards the usage of user-generated content (UGC) in the online space for the fashion business, and its impact on the purchase intention for different categories of fashion products. The study focused on the cosmopolitan city of Bengaluru, known for its fashion centricity and brand awareness. It attempted to analyze the factors for reference to media content generated by co-consumers, especially amongst women, and inferred that content that provides them with gratifications relating to social acceptance are more liable to positively influence their intent to purchase. It also specifically identified product categories that are liable to benefit from such content. -
Impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis
Gait analysis is a behavioral biometric that classifies human, based on how they walk and other variables involved in the forward movement. In this study, we have attempted to comprehend the significance of the upper portion of the body in gait analysis for human recognition. The data for this study came from the CASIA dataset, which was donated by the Chinese Academy of Sciences Institute of Automation. We began by extracting the gait energy image (GEI) from the dataset and employing principal component analysis to minimize the dimensionality (PCA). For classification, random forest, support vector machine (SVM), and convolution neural network (CNN) algorithms are implemented to recognize the human subjects. This paper provides experimental results to show the accuracy attained when classification is done on GEI of full-body images is higher than the accuracy attained when classification is done on GEI of the lower portion of the body only. It also shows the significance of the GEI of the upper portion of the body. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Impact of values and psychographic traits on compulsive buying behaviour in fast fashion brands
The Fast Fashion is emerging as a rapidly growing category in the Indian garment retailsector. Fast Fashion provides the latest trendy fashionable affordable clothing to consumersmultiple times in a year. The pressure of fast fashion influences the buying behavior ofconsumers resulting in compulsive purchasing tendencies (Johnson & Attmann, 2009). Theresearch study focuses on the compulsive buying behavior of Fast Fashion brand consumers.In India, Fast Fashion is emerging as an important and growing category in the garment retail. Because of rapid fashion cycles, what is ???in??? is always changing, causing consumers to feel pressure to continually update their wardrobes (Cwerner, 2001).Compulsive buying consumers buy more frequrntly without controlling their the urge to purchase(Muller, et al., 2015). The significant percentage of fast fashion buyers qulify as ???excessive shoppers??? and this international phenomenon is spreading around the world. (Greenpeace International, 2017). Shopping for clothes reflect broader values (Tatzel, 1982) and for the retailers to be successful the knowledge of consumers about culturally-defined values is important (Hyllegard et al., 2005).The extensive review of literature shows that there is a lack of research both in academic and marketing aspects regarding Compulsive buying behaviours of Fast Fashion consumer with respect to value psychographic traits. The objective of the research study is to understand the effect of Values on Compulsive Buying Behaviour of Fast Fashion Brands and to analyse the mediating vi effect of Psychographic Traits (Fast Fashion involvement, Fashion???Consciousness and Innovativeness) on Compulsive Buying Behaviour.The study used List of value (LOV) Scale to find the impact of consumer values on compulsive buying behaviour. The psychographic traits are used as intervening variable. The survey is conducted for participants aged 18-25 yrs. Analysis of data is done using Factor analysis, Anova, Multiple Regression. The study will help marketer of Fast Fashion clothing to frame their product and communication strategy in such a way that it appeals to the consumers with required psychographic traits and values. -
Impact of Variable Distributed Generation on Distribution System Voltage Stability
With advances in renewable energy (RE)technologies and the promotion of restructuring, distributed energy (DG)sources play a vital role in today's power sector. From the technical and economic point of view, DG sources provide a no of benefits such as lesser system losses, better system voltage profile and lower line congestion. The aim of this work is to determine the voltage stability of a distribution system at different levels of DG compensation determined as a percentage of the total load on the system. The objective function is formulated to minimize the real power loss. At first, the locations are chosen based on strategy using Loss Sensitivity Factors (LSF)and the optimal sizing of multiple units of DG sources is optimized using Particle Swarm Optimization (PSO)algorithm. The simulations are performed on standard IEEE 33-bus and 69-bus test systems and the results validate the importance of placing appropriately sized DG sources at suitable locations to achieve improved voltage stability and reduced distribution losses. 2019 IEEE. -
Impact of Variable Viscosity and Gravity Variations on Rayleigh-Bard Instabilities of Viscoelastic Liquids in Energy Sustainable System
Energy sustainability systems are vital for transitioning to a low-carbon economy, addressing climate change, and ensuring a sustainable future for all. Rayleigh-Bard convection (RBC) in viscoelastic liquids is a crucial phenomenon in various industrial and environmental applications, including energy sustainability systems where fluid dynamics play a pivotal role in optimizing heat transfer and system efficiency. The study deals with the combined influence of variable viscosity and variable gravity on RBC in viscoelastic liquids. The influence of space-dependent gravity on the onset of convection is considered. The results are analyzed against the background of constant gravity RBC in viscoelastic/Newtonian liquids with constant/variable viscosity. The possibility of variable gravity accelerating/decelerating the onset of convective instability is examined in this paper. 2024 IEEE.