Volume 12 | Issue 5 |

 Abstract

This dissertation explores the intricate relationship between self-esteem, hope, and social support among recent graduates, focusing on the influence of employment status on these psychological factors. Through quantitative analysis, data was collected from both employed and unemployed recent graduates to examine the associations between self-esteem, hope, and social support. The findings revealed significant differences between employed and unemployed recent graduates in terms of self-esteem and hope levels, with unemployed individuals exhibiting lower scores in both domains. Additionally, social support was found to moderate the relationship between employment status and psychological well-being, suggesting that highis levels of perceived support may mitigate the negative impact of unemployment on self-esteem and hope. These findings contribute to our understanding of the psychological challenges faced by recent graduates transitioning into the workforce and highlight the importance of addressing their psychological well-being. The implications of these findings extend to the development of interventions and support programs aimed at enhancing the successful integration of recent graduates into the professional sphere.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-Esteem, Hope, Social Support, Employment Status, Unemployment, Recent Graduates, Psychological Well-being

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In contemporary society, parenting is recognized as a critical determinant of children's well-being and development. Consequently, numerous parenting programs are established to support parents in nurturing their children effectively. However, amidst this plethora of programs, the efficacy of value-based parenting programs remains underexplored. This study aims to address this gap by conducting a comprehensive investigation into the effectiveness of value-based parenting interventions. The research adopts literature review method focused on exploring the efficacy of value-based parenting programs. The review encompasses peer-reviewed articles, books, and other scholarly sources related to parenting interventions, particularly those grounded in values-based approaches. A systematic search of electronic databases such as PubMed, PsycINFO, Google Scholar, and Scopus is conducted using keywords such as "value-based parenting programs," "parenting interventions," "parenting education," and related terms. The search is supplemented by manual searches of reference lists from relevant articles and books to ensure comprehensive coverage of the literature. Inclusion criteria for selecting studies involve focusing on empirical research studies that evaluate the effectiveness of value-based parenting programs in promoting positive parenting outcomes. Studies utilizing various research designs, including randomized controlled trials (RCTs), quasi-experimental designs, and longitudinal studies, are considered for inclusion. The review synthesizes findings from selected studies, examining key outcome variables such as parental stress, child behavior, family functioning, parent-child relationships, and adherence to core values. Additionally, the review explores the mechanisms underlying the effectiveness of value-based parenting programs, including program content, delivery format, and theoretical frameworks guiding the interventions. Quality assessment of included studies is conducted to evaluate the rigor and methodological soundness of the research. This involves assessing factors such as sample size, research design, measurement tools, statistical analyses, and potential sources of bias. Data extraction and synthesis involve systematically organizing and summarizing findings from selected studies, identifying common themes, patterns, and discrepancies across the literature. The review also identifies gaps and areas for future research, highlighting opportunities for advancing knowledge and practice in the field of parenting education. The study's findings hold significant implications for both research and practice in the field of parenting support. By elucidating the efficacy of value-based parenting programs, this research contributes to the evidence base for designing and implementing effective interventions aimed at promoting positive parenting outcomes. Moreover, insights from the qualitative component can inform program refinement and optimization, ensuring that value-based parenting programs are attuned to the needs and preferences of diverse parent populations. Ultimately, this study endeavors to advance knowledge and practice in the domain of parenting education, fostering the cultivation of nurturing and value-driven family environments for children's flourishing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Value-based parenting, Efficacy, Parenting programs, Exploration, Effectiveness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

After introducing the background of "Asymmetric Organocatalysis," this review delves into significant historical events and breakthroughs spanning from 1912 to 2021. It then shifts focus to the Nobel Prize-winning contributions of David MacMillan and Benjamin List, specifically their advancements in Amine-Catalyzed Asymmetric Diels-Alder Reaction (Iminium ion Activation) and Proline-Catalyzed Direct Asymmetric Aldol Reaction (Enamine Activation). These advancements hold significant importance in medicinal and pharmaceutical fields, offering a promising pathway for the enantioselective synthesis of new drugs. Moreover, by integrating organocatalysis with photoredox catalysis, electrocatalysis, and machine learning (A.I.), novel activation modes and catalytic methods are anticipated to emerge in the near future.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Asymmetric organocatalysis, enantioselective, catalyzed reactions.

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Creative Commons Attribution 4.0 and The Open Definition

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The role of a healthcare administrator is crucial in ensuring the efficient operation of healthcare organizations. With the ever-evolving and complex healthcare system, it is vital to have effective mentorship programs in place to support the professional development and retention of healthcare administrators. This paper aims to assess the effectiveness of mentorship programs in achieving these goals. Mentorship programs involve the pairing of a less experienced healthcare administrator with a more senior and experienced one. The mentor provides guidance, support, and advice to the mentee to help them develop and grow in their role. This model has been widely adopted in various industries, including healthcare, to promote professional growth and retention. A critical factor in assessing the effectiveness of mentorship programs is the mentee's perception of the mentor's support and guidance. Studies have shown that mentees who receive high levels of support and quality feedback from their mentors have higher job satisfaction and retention rates. These programs also provide networking opportunities, allowing mentees to gain exposure to different areas of the organization and build valuable relationships. These programs can also enhance leadership skills in healthcare administrators. By observing and learning from experienced mentors, mentees can develop essential skills such as communication, problem-solving, and decision-making. It can lead to improved job performance and career advancement opportunities. It has a significant impact on the professional development and retention of healthcare administrators. By providing support, guidance, and opportunities for growth, these programs can foster a positive work environment and contribute to the overall success of healthcare organizations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Healthcare, Administrator, Operations, Mentorship, Guidance, Support, Critical Factor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This system is bringing a user-friendly face between people and the computers. It exploits various image processing strategies including face detection, eye extraction, conversion of eyeballs movements in real time into an unobtrusive, human-machine interface. This piece of software utilizes a standard webcam for feeding with an image. Mouse cursor control can be done by facial movement by moving head to the left, up, down and to the right and through eye blinking eye control mouse events are achieved. The computer speaks directly to the parts of the brain responsible for visual and motor activities translating numbers, letter and speech sounds into the correct neural signals enabling a one to communicate, store, access and retrieve information, switch channels for various communication activities like sending or receiving messages, browsing internet, watch favourite TV shows or movies etc. The biggest part of the algorithm provides the best eye position result with the aid of decision tree so that eye motion is detected and mouse gesture is translated. Apart from that, it makes it possible to load and erase the apps by way of blinking eyes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IMouse; eyes gesture controlsystem; eye tracking systems; mouse cursor; eye mouse; webcam; eyemovement .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The agriculture sector plays a crucial role in the economic development of a nation, and technological advancements have the potential to enhance its productivity and sustainability. This project focuses on leveraging machine learning techniques to provide intelligent and data-driven recommendations for crop selection, aiming to optimize agricultural output. The proposed system utilizes historical and real-time data related to soil characteristics, climate conditions, and crop performance to make informed decisions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Random Forest, machine learning model, Nitrogen and pH level, temperature, and recommendation system, Naive bayes, factors.

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Creative Commons Attribution 4.0 and The Open Definition

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The Indian Premier League (IPL) is one of the most popular and widely watched cricket tournaments in the world. With the increasing popularity of live sports streaming and the demand for real-time updates, there is a need for innovative solutions that enhance the viewing experience. This research paper presents the development of a Chrome extension called "IPL Live Tracker," designed to provide an immersive and comprehensive experience for IPL fans. The extension leverages web technologies, including HTML, CSS, and JavaScript, to deliver real-time match scores, live commentary, player statistics, and match highlights directly within the user's browser. By integrating with third-party APIs and employing efficient data fetching techniques, the extension ensures seamless and up-to-date delivery of cricket data. Additionally, the paper discusses the user interface design considerations, data visualization techniques, and performance optimization strategies employed to create a responsive and engaging user experience

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chrome extension, Indian Premier League (IPL), live sports tracking, real-time data delivery, web development, data visualization, user experience, performance optimization, APIs, JSON.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the impact of social sector expenditure on health outcomes in Chhattisgarh, India. Using secondary data sources, including government reports and statistical databases, the research examines the intricate relationship between social sector spending and the health status of the population. The analysis identifies trends and correlations between social sector investments and key health indicators such as infant mortality rate (IMR), maternal mortality rate (MMR), life expectancy, and disease prevalence. Preliminary findings suggest a positive correlation between increased social sector funding and improved health outcomes, albeit with varying degrees of influence across different health parameters. Moreover, distinctive spending patterns emerge in sub-sectors like education, sanitation, and public health, each contributing uniquely to overall health improvement. These insights highlight the critical role of strategic social sector investment in fostering holistic health development in Chhattisgarh. Policy recommendations are provided to optimize resource allocation, maximize health benefits, and reduce disparities within the region.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Sector Expenditure, Health Outcomes, Public Health, Social Expenditure Patterns, Health Indicators, Infant Mortality Rate (IMR), Maternal Mortality Rate (MMR), Life Expectancy, Resource Allocation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes is a chronic illness that develops when the body either cannot use the insulin that the pancreas makes properly or does not create enough of it. One hormone that controls blood sugar is insulin. elevated blood sugar, is a frequent consequence of uncontrolled diabetes mellitus that eventually causes major harm to numerous bodily systems, particularly the blood vessels and neurons. 8.5% of persons who were 18 years of age or older had diabetes in 2014. 2019 had 1.5 million deaths directly related to diabetes, with 48% of these deaths happening before the age of 70. Diabetes contributed to an additional 460000 deaths from kidney disease, and elevated blood glucose accounts for 20% of fatalities from cardiovascular disease. One of the most important aspects of managing diabetes is nutrition therapy. In order to manage type 2 diabetes mellitus (T2DM), it is important to encourage a healthy lifestyle. Nutritional therapy (NT) can assist patients in reaching their blood pressure and glycemic control goals. The treatment of diabetes has advanced recently with an emphasis on developing artificial pancreas systems for automated insulin delivery, optimising insulin therapy, and investigating new oral drugs. Furthermore, SGLT-2 inhibitors and sophisticated GLP-1 receptor agonists are still being studied. Similarly, the recommended nutrition therapy for diabetes may change in near future. Such changes in nutrition therapy must be dynamic and based on not only scientific evidence but also each patient's narrative. The project's goal is to treat diabetes with a diet that is balanced in nutrients.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetes, Insulin, Nutrition, Nutrition Therapy, Type 2 diabetes mellitus (T2DM)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Farming is a major input sector for economic development of any country. Livelihood of majority of population of the country like India depends on agriculture. In this project, it is proposed to develop a Smart Farming System that uses advantages of cutting an edge technology such as IoT, Wireless Sensor Network and Cloud computing to help farmers enhance the way farming is done. Four IR sensors is placed in Four direction such as north, south, west and east in order to prevent animal entry. If any animal is detected then it alerts by buzzer and alert through IoT app. Using sensors like temperature, humidity, IR sensors are used to get information about the field and help farmers to take precise decisions on insights and recommendations based on the collected data. The device is IoT enabled by connecting to Wi-Fi using NodeMCU.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real time detection, IoT devices, Animal detection, NodeMCU

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Creative Commons Attribution 4.0 and The Open Definition