Volume 11 | Issue 7 |

 Abstract

The present study examines the relationship between birth order and prosocial behaviour and life satisfaction. A total of 174 participants aged between 20 to 39 years completed the Prosocialness Scale for Adults (PSA) and the Satisfaction With Life Scale (SWLS). The participants were recruited via Snowball sampling from India, South Korea, Canada, UAE, and Japan. The results were assessed using t-test analyses, which found no significant difference between first-born and later-born individuals in terms of prosocialness and life satisfaction. Therefore, birth order does not have a significant influence on an individual's prosocial behaviour and satisfaction with their lives. These findings suggest that there may be other determinants that play a more significant role in shaping an individual's personality, behaviour, and satisfaction with life.

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Birth order, Prosocial behaviour, Life satisfaction, First-born, Later-born

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The importance of an investment decision can't be overstated because it entails accepting a risk in exchange for a potential reward. Because the stock market is so unpredictable and volatile, investors must be cautious when making decisions and carefully consider the market trend. Investors become enraged as a result of their own evaluation of the stock market and the specific business whose shares are quoted on the stock market. The three sources of guidance for investors in making their investment decision are self analysis based on own judgement and experience, brokers or friends who are involved in the investment, media reports and reviews of stock market trends, and experts who have special knowledge about the stock market. Investors with degree and post-graduate levels of education have shown a preference for making their own decisions rather than following the advise of brokers. However, investors with a background in agriculture have tended to rely more on brokers, media analysis, and professional advice. Business and employee investors favored making their own decisions and following friends' and brokers' recommendations. _____________________________________________________________________________________________

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stock market investment

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The mechanical properties of carbon fiber-reinforced polypropylene composites were identified by conducting suitable experiments. The main focus of this study the tensile strength, flexural strength, Hardness and Impact Strength as per ASTM standards. Specimens were prepared by injection molding process. The Results reveled that ultimate tensile strength, flexural strength, Hardness and Impact Strength of 20wt% of carbon fibers higher than the remaining compositers.

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Polypropylene, Carbon Fiber, Injection molding.

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This study tries to analyse maternal health as a human security issue. Maternal health has been an issue of serious concern since decades. Human security ,health security ,maternal health and human rights are closely interlinked. Human security refers to the security of the people and communities as opposed to the security of the states. Health security, as identified by UNDP's Human Development Report 1994 , is one of the component of human security. Health is the determinant of human well being and economic growth. Without good health , progress of a nation is not possible. Maternal health is a component of health so security relating to maternal health is a human right . To safeguard maternal health as a human right, state and non state actors at global and national level have taken initiatives in the form of policies ,laws and strategies. This study makes an attempt to study those policies and schemes with special reference to India.

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Maternal health ,human security, health security human rights

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The current state of the global energy landscape is experiencing a notable paradigm shift, characterized by an increasing focus on the principles of sustainability and the imperative to mitigate greenhouse gas emissions. Within the present context, the incorporation of renewable energy sources by corporate entities has garnered escalating significance. The present study endeavors to delve into the multifaceted role and myriad benefits associated with the assimilation of renewable energy sources within the operational framework of contemporary corporate entities. The present scholarly article delves into the multifaceted dimensions of renewable energy adoption, encompassing its environmental, economic, and social ramifications. It meticulously examines notable instances of triumph in this domain, shedding light on exemplary case studies. Furthermore, it conscientiously tackles the obstacles encountered by corporate entities when endeavoring to implement renewable energy initiatives. Through a comprehensive analysis of the multifaceted dimensions surrounding the adoption of renewable energy, the primary objective of this scholarly article is to elucidate its inherent capacity to propel sustainable development and make a substantial contribution towards the realization of an environmentally conscious future.

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Renewable Energy, Sustainable Future

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Concrete is a versatile widely used construction material. Ever since concrete has been accepted as a material for construction, researchers have been trying to improve its quality and enhance its performance. Recent changes in construction industry demand improved durability of structures. There is a methodological shift in the concrete design from a strength based concept to a performance based design. At present there is a large emphasis on performance aspect of concrete. One such thought has lead to the development of Self Compacting Concrete (SCC). It is considered as "the most revolutionary development in concrete construction". SCC is a new kind of High Performance Concrete (HPC) with excellent deformability and segregation resistance. It can flow through and fill the gaps of reinforcement and corners of moulds without any need for vibration and compaction during the placing process. The guiding principle behind self-compaction is that "the sedimentation velocity of a particle is inversely proportional to the viscosity of the floating medium in which the particle exists". The other features of mix proportion of SCC include low water to cementitious material ratio, high volume of powder, high paste to aggregate ratio and less amount of coarse aggregate. One of the popularly employed techniques to produce Self Compacting Concrete is to use fine materials like Fly Ash, GGBFS etc; in concrete, besides cement, the idea being to increase powder content or fines in concrete. The European Federation of Producers and Applicators of Specialist Products for Structures (EFNARC) [2005] have also laid down certain guidelines for fresh properties of SCC. The present investigation is aimed at developing high strength Self Compacting Concrete. The parameters of study include grade of concrete and effect of size of aggregate. The existing IS [10262-1989] method of mix design was based the basis of experimental investigation. SCC characteristics such as flowability, passing ability and segregation resistance have been verified using slump flow, L box and V funnel tests.

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PUBLICATION

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AI has now been around for over half a century. The term AI was officially coined in 1956, courtesy of Dr. John McCarthy, and has undeniably evolved since. India is the 3rd largest country in terms of AI research and development, following China and the USA. We as a workforce have recently experienced layoffs due to AI taking over various roles in companies and corporations. While AI didn't significantly affect jobs over the past years, work demand is and will continue changing. This spells a threat to us all as the usability of AI spreads over multiple sectors such as Engineering, Healthcare, Finance, Defense, Manufacturing, Aviation, Transportation and even Entertainment! Our study aims to interpret and analyze how AI has affected employment, try to provide solutions to alleviate the threat to employment and determine whether the switch to AI will be for the better or worse.

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AI, Artificial Intelligence, Computational intelligence

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ABSTRACT Background of the study: Mind Mapping is a newer method of teaching, in which a main idea will be in the centre from which sub branches arise. Lecture method is a traditional method of teaching. The purpose of the study was to find out the effective method of teaching to improve the learning ability of nursing students. A mood disorder was the topic selected to assess the knowledge because it is an important and vast topic in mental health nursing. The aim of the study was to compare the effectiveness of mind mapping and lecture method on knowledge regarding mood disorder. Method: A quantitative approach with quasi experimental, two group pre-test post-test design was used for the study. The subjects consisted of 60 nursing student selected using Non-Probability purposive sampling technique. The data was collected by administering a self-structured questionnaire. The researcher gave teaching to group one using mind mapping and group two using lecture method. A post test was conducted on the seventh day. Result: mean pre and post-test knowledge score for group 1 were 8.53+1.83 and 11.60 +2.60 respectively, whereas in group 2 it was 7.17+1.63and 11.37+2.20 respectively. The calculated Paired't' value if group 1 and group 2 were 7.54 And 8.76 respectively (t29=1.69, p<0.05). The comparison of effectiveness between mind mapping and lecture method were done using independent't'test. The computed't' Value of lecture method was 8.76 and for mind mapping was 7.54 and the mean difference of lecture method was 4.21 which is higher than mind mapping method i.e. 3.07, which indicated that lecture method is more significant in increasing the knowledge of nursing students comparing to mind mapping. There was no any association between pre-test knowledge scores and selected demographic variable which is calculated by fisher exact test. Conclusion: The study findings showed that lecture method is more significant increasing the knowledge on mood disorder among nursing student comparing to mind mapping. No significant association was found between the pre-test knowledge and selected demographic variables.

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Mind Mapping, Lecture Method, Mood Disorder, Nursing students

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The virus causing corona disease is transmitted through droplets that are released by an infected person when he/she coughs, sneezes, or exhales. People get infected by either breathing in the droplets through atmosphere if they are released by an infected person nearby or by touching a surface which has been contaminated by the virus. Most of the people who get infected suffer mild to moderate symptoms. However, people with severe symptoms develop Acute Respiratory Distress Syndrome (ARSD) characterized by rapid onset of inflammation in the lungs. It can cause serious conditions such as blood clots, multi-organ failures etc. to happen suddenly sometimes even leading to death of the patient. In other words, COVID-19 affects our lungs with adverse infection due to which a person is unable to breathe with decorum. The broad aim of this research paper is to study the CT scan images of patients infected from coronavirus and compare them to the CT scan images of patients which may be not be infected or may have normal pneumonia (i.e. not due to coronavirus) using the classifier as Convolutional Neural Network.

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COVID-19, Convolutional Neural Network, CT scan images, Pooling Layer, Fully connected layer

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Abstract: This paper delves into the pivotal role of media literacy in nurturing a comprehensive comprehension and critical assessment of synthetic media. Synthetic media encompasses digitally manipulated or generated content, such as deep fakes, virtual influencers, and AI-produced text, audio, or video. The exponential surge in synthetic media has raised concerns regarding its potential societal impact, thus underscoring the pressing need for effective media literacy interventions. To probe the influence of media literacy on the navigation and evaluation of synthetic media, we adopted a secondary research methodology. This involved an extensive examination of existing academic literature, reports, and industry publications. By analyzing and synthesizing these sources, our objective was to identify key themes, trends, and optimal practices relating to media literacy and its correlation with synthetic media. Our research explores various facets of media literacy, including the cultivation of critical thinking skills, digital literacy, and visual literacy. We investigate the efficacy of diverse educational approaches, such as formal education, media literacy programs, and online resources, in augmenting individuals' capacity to differentiate between authentic and synthetic media content. Additionally, we scrutinize the role of media literacy in mitigating potential risks associated with the proliferation of misinformation, propaganda, and nefarious applications of synthetic media. The findings from our secondary research shed illumination on the vital significance of media literacy as an essential skill set for individuals to navigate the intricate landscape of synthetic media. We identify key challenges and prospects for media literacy education, encompassing the necessity for updated curricula, a collaboration between educators and technology experts, and the integration of ethical considerations. By amalgamating existing research, this paper contributes to the burgeoning body of knowledge on media literacy and its pertinence within the realm of synthetic media. The insights provided can guide the development of evidence-based strategies and interventions designed to equip individuals with the indispensable skills required for critically engaging with synthetic media and making informed decisions.

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Keywords: Media literacy, synthetic media, deepfakes, critical thinking, digital literacy, visual literacy, misinformation, education.

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