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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Asymmetric organocatalysis, enantioselective, catalyzed reactions.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

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.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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

Licence: creative commons attribution 4.0

  License

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.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

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.

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real time detection, IoT devices, Animal detection, NodeMCU

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In present world where there is an increasing number of vehicles, it has become more apparent that manual record-keeping is insufficient to manage the vast influx of vehicles. Having a continuous human presence to record license plate numbers is not only labour-intensive but also challenging. Additionally, there are concerns about the legibility of manually stored data. Instances of theft within residential societies are often linked to insufficient authentication procedures during exit, especially during nighttime hours. Authorization for exit is granted only if the information associated with the vehicle and the individual aligns with the database records. To enhance authentication, QR codes are employed. During the time of entry, the number plate recognition serves to be an exceptional solution. The user enters without any obstruction if found to be a resident, and if not, registers himself as one and moves ahead for his own business. At the time of exit, a protected QR code scanner is accomplished by the number plate recognition. This QR code scanner works in a protected manner where the individual consents to their identity. It will be used to match the encrypted key using the designated software or application and when found to be illicit, is denied the exit from the premises. Hence, a protected QR code scanner prioritizes user safety by inspecting content and employing encrypted measures to avoid risks and misleads that may occur. The combination of Python for development, Yolo V8 for real-time object detection, Easy OCR for precise character recognition, and a protected QR Code scanner for authentication reasons, propel this system to an unprecedented level of performance and reliability. This system has the potential to revolutionize security and management at various entry points, ensuring smoother operations and heightened security measures at all times.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: License Plate Detection, License plate Extraction, Character Segmentation, Character Recognition, Protected QR Code Scanner.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study aims to explore the clinical presentation, treatment efficacy, and management challenges of Obsessive-Compulsive Disorder (OCD) in a patient with predominant compulsions related to washing clothes and hands due to fear of contamination.One of the most widely recognized impulses saw in OCD is unnecessary hand washing, frequently determined by an extraordinary apprehension about pollution. This survey looks at the predominance, clinical highlights, hidden components, and treatment moves toward explicitly connected with impulsive hand washing in OCD.The pattern of fixations and impulses sustains tension and misery, prompting critical impedance in personal satisfaction.The case involves a 40-year-old lady diagnosed with OCD, focusing on her compulsive washing behaviours.Treatment approaches for impulsive hand washing in OCD commonly include a blend of pharmacotherapy and psychotherapy. Specific serotonin reuptake inhibitors (SSRIs), like fluoxetine and sertraline, are the first-line pharmacological treatment choices. Mental social treatment (CBT), especially openness and reaction counteraction (ERP), is viewed as the highest quality level psychotherapeutic medication for OCD and has exhibited viability in diminishing habitual hand washing ways of behaving.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Obsessive Compulsive Disorder, Washing hands and clothes, Recurring thoughts, Cognitive Behaviour Therapy,Exposure Response Prevention, Repetitive behaviours , Medication , Pharmacotherapy, specific serotonin reuptake inhibitors (SSRIs) .

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Locating large picture collections requires the use of content-based image retrieval systems. Convolutional Neural Networks (CNNs) are deep learning algorithms which have upgrade the CBIR with their immense picture feature extraction capabilities. The efficiency of CNNs, ResNet-50, and VGG16 three prominent CNN architectures--for image retrieval is studied in this work. This is investigating a transfer learning-based deep learning framework for CBIR. In this study pre trained models such as CNN, ResNet-50 and visual geometry group (VGG-16) are used to obtain properties from image. These models were trained using large Cifar-10 image datasets. These attributes allow for efficient retrieval based on similarity by capturing the visual properties and semantic content of the images. The study evaluates how effectively these CNN architectures perform in terms of retrieval accuracy. A versatile framework for modifying feature extraction layers is provided by standard CNNs. With its residual connections, ResNet-50 enables deeper structures and better learning. VGG-16's depth can cause overfitting on smaller datasets. The results of this study can help in the development of reliable and effective Content based image retrieval systems. For researchers and practitioners looking to use deep learning for image retrieval applications, the comparison offers valuable insight.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CBIR, CNN, Pretrained RESNET-50 model, Pretrained VGG16 model, Cifar-10 dataset.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The nationalist movement that gave the freedom of the country through the leadership of Gandhi. With the participation of many people from different places irrespective of the caste, class, gender etc. Gandhi roles in the organising of national movement from 1919 to 1947. Gandhi weapon of Satyagraha, as a form of struggle, was based on the active participation of the people and on the sympathy and support of the non- participating millions. This paper focused on the various Movements during the Gandhian era and also the participation of women during that period. Additionally it also focuses little on the media influences or the participation of media that give a changes or give a way of communicating tools in the movement to the people's of the country.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Satyagraha, Nationalism, National Movement,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research work introduces a new system for cars that can understand how the driver feels using facial recognition technology. It combines this with picking music from Spotify to match the driver's mood. The system watches the driver's face with a camera and uses a smart program to figure out if they're happy, sad, or other emotions. It then picks songs that match how they feel. Additionally, the system can suggest things like rest stops or calming exercises based on the driver's emotions. This new way of using technology in cars aims to make driving safer and more enjoyable. A camera in the car watches the driver's face as they drive. A computer program quickly looks at the video and figures out the driver's emotions by recognizing facial expressions like smiles or frowns. It can tell if the driver feels happy, sad, angry, surprised, or just neutral. Once it knows how the driver feels, it talks to Spotify or a similar music service to choose songs that fit the mood. This makes sure the music matches the driver's emotions, making driving more personal and enjoyable.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recognition System, Intelligent Systems, Smart Vehicle, Road Safety, Emotion Identification, Music

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Its farmers selling application

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

work

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To keep pace with the updates in obliging informatics, thriving recuperating data is being amassed unendingly. Regardless, inferable from the not too appalling gathering of its classes and sources, therapeutic data has ended up being particularly jumbled in various specialist's work environments that it now needs Clinical Decision Support (CDS) system for its affiliation. To sensibly utilize the party flourishing data, we propose a CDS structure that can interweave mixed thriving data from different sources, for instance, take a gander at office test works out as planned, critical information of patients, and achievement records into a joined depiction of features everything considered. Using the electronic prospering healing data so made, multi-name delineation was used to endorse a layout of afflictions and thusly help experts in diagnosing or treating their patients' therapeutic issues more capably. Once the ace sees the contamination of a patient, the running with organize is to consider the conceivable complexities of that perplexity, which can impel more infections.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Clinical Decision Support, analysing and file.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dihydropyridine derivatives were synthesized via a unique, environment friendly, and highly effective one-pot multicomponent process, which produced a good to wonderful yield. An important class of low molecular weight heterocyclic scaffolds is represented by 1, 4-dihydropyridines and their derivatives. The Hantzsch pyridine synthesis was completed quickly at room temperature in solvent-free condition using various 1,3-diones and the same starting ingredient aldehyde derivatives such as 5-bromothiophene-2-carboxaldehyde and ammonium acetate in the presence of the catalyst ceric ammonium nitrate (CAN). Interestingly, we discovered that just one of the compounds had excellent antifungal activity against Candida albicans when compared to griseofulvin, while all the compounds were assessed for their in vitro antibacterial and antifungal activities. Every chemical has had its cytotoxicity evaluated using cell lines from breast tumours.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

one-pot multicomponent, Heterocyclic scaffolds, 1, 4-dihydropyridines, ceric ammonium nitrate, Hantzsch reaction.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Techniques for Preventing Crime Numerous factors, including social, political, and economic ones in addition to environmental ones, have an impact on crime. Humans have a basic need for security and safety. The rate of crime in India's cities has been steadily rising, and efforts to lower it are working. People are drawn to dwell in this neighborhood by its cosmopolitan lifestyle, spacious roadways, cutting-edge amenities, and serene surroundings, yet these same attributes also make it susceptible to criminal activity. Because the police do not respond to crimes in a timely manner, many of them go unreported and ignored. Criminologist C. Ray Jeffery developed the idea of crime prevention through environmental design (CPTED) in 1971. Other notable criminologists who supported the idea included Timothy D. Crow, C. Ray Jeffery, architect Oscar Newman, Jane Jacobs, and Schlomo Angel. First proposed by criminologist C. Ray Jeffery in 1971, the idea of crime prevention through environmental design (CPTED) was further developed by renowned criminologists Timothy D. Crow, C. Ray Jeffery, architect Oscar Newman, Jane Jacobs, and Schlomo Angel. The main factors that determine safety and security in an urban setting are (i) surveillance will someone committing a crime be seen by anyone? (ii) access how easy is it to enter and exit a place? and (iii) territoriality does anyone care about what goes on around them, or is there a sense of belonging to the space among the users? Building layouts, street designs, public spaces, and public facilities can all be addressed at the urban design level to influence both the likelihood of crime and the fear of it. The authors do, however, recognize several commendable initiatives in Indian places such as Ahmedabad, Bangalore, and Surat, where improved surveillance techniques combined with community involvement have transformed the urban landscape and significantly increased public safety. In order to address security concerns in Indian cities, this paper aims to identify the factors that lead to criminal activity within an urban area. It also emphasizes the importance of crime prevention strategies and the applicability of environmental criminology to Pandesara city planning and management practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Environmental Criminology, Crime Prevention Strategies, Urban Design, Pandesara

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The efficient operation of three-phase induction motors is crucial for various industrial applications. However, the occurrence of faults can lead to unexpected downtime and costly repairs. This project proposes a novel approach for fault diagnosis in three-phase induction motors by integrating wavelet analysis and artificial neural networks (ANN). Wavelet analysis is employed for feature extraction from motor current signals, allowing for the detection of subtle changes indicative of different fault types. The extracted features are then fed into an ANN model, trained to classify various fault conditions accurately. The effectiveness of the proposed methodology is demonstrated through simulation data of three phase induction motor under different fault scenarios. Results indicate that the combined approach of wavelet analysis and ANN yields high accuracy in fault detection and classification, enabling proactive maintenance and minimizing downtime in industrial systems. This project contributes to advancing the field of condition monitoring and predictive maintenance for three-phase induction motors, offering a robust solution for early fault detection and diagnosis, thereby enhancing reliability and efficiency in industrial operations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ANN, Three phase Induction Motor, Quality Disturbances, Wavelet Transform ,Faults etc.

  License

Creative Commons Attribution 4.0 and The Open Definition