Volume 12 | Issue 6 |

 Abstract

Gymnanthemum amygdalinum (Delile) Sch.Bip. ex Walp. (Asteraceae), better known by its former name Vernonia amygdalina Delile, is a small shrub with wide medicinal properties. The aim of this work is to screen the extracts of Gymnanthemum amygdalinum leaves for phytochemical and physiochemical composition mainly to establish its earlier claimed usage as traditional and modern medicine. The preliminary phytochemical analysis of ethanol and petroleum ether extracts showed the presence of tannins, flavonoids, alkaloids, terpenoids, and carbohydrates. The phytochemical compounds especially alkaloids, flavonoids, tannins, saponins, glycosides and carbohydrates were detected in both pet ether and ethanol extracts of leaves. Quantitative determination of the phytochemical compounds found in the barks and leaves of the tree revealed that the extracts had significantly higher values of alkaloids, flavonoids and glycosides than barks. Saponins and anthraquinnes were found to be significantly more in barks than in leaves. The total ash, water soluble, acid insoluble and sulphated ash in leaves were measured to be 12.14%, 5.53%, 2.04% and 14.02% respectively. The results obtained were remarkable and the plant can be further explored in the treatment of oxidative stress and other related disorders.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gymnanthemum amygdalinum, phytochemical composition, physiochemical composition, quantitative analysis, Alkaloids, Terpenoids and Flavonoids

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study has been undertaken to investigate the system on developing an AI-powered exam proctoring system designed to ensure the integrity of online exams. The system uses artificial intelligence to monitor students during their tests, detecting any signs of cheating or suspicious behavior. It employs facial recognition to confirm student identities, tracks eye movements, and analyzes background noise and movements. It can recognize suspicious behaviors, such as looking away from the screen frequently, talking, or having other people in the background. By using AI, the system provides a reliable and scalable way to ensure exam integrity. This automated approach aims to provide a secure and fair testing environment, reducing the need for human proctors and making online exams more reliable and accessible. The project also takes privacy concerns very seriously by implementing strong data security measures and strictly following all relevant laws and regulations. It ensures that personal information is protected at all times, giving both students and institutions peace of mind that their data is safe and secure. This approach can enhance the credibility of online assessments and support the growing trend of remote learning.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

object detection, face recognition, voice detection, head pose model

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project delves into the innovative domain of image synthesis using state-of-the-art techniques in artificial intelligence. By harnessing the power of the Diffusers library, we embark on a journey to create vivid and lifelike images from textual descriptions. Through the utilization of DiffusionPipeline, a pre-trained model adept at understanding and generating images, we explore the seamless integration of natural language prompts with image synthesis algorithms. Leveraging cutting-edge technologies such as transformers and accelerated computing, our project aims to push the boundaries of creativity and realism in AI-generated imagery. The project methodology involves initializing the DiffusionPipeline with specific parameters, including the choice of model variant and computational precision, to optimize image generation performance. We meticulously craft textual prompts, providing detailed descriptions that serve as the creative blueprint for the generated images. Employing advanced techniques in machine learning, our model learns to interpret and translate these prompts into visually captivating representations. Through iterative experimentation and fine-tuning, we strive to achieve a balance between coherence to the prompt and artistic diversity in the generated images. Evaluation metrics such as image quality, diversity, and adherence to the prompt guide our optimization process, ensuring the production of visually appealing and conceptually faithful results. Beyond its technical intricacies, this project explores the broader implications of AI-generated imagery in various domains, including digital art, visual storytelling, and content creation. By showcasing the potential of AI as a tool for creative expression and innovation, we seek to inspire dialogue and collaboration at the intersection of technology and the arts.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords for your project abstract could include: 1. Image synthesis 2. Artificial intelligence 3. Diffusers library 4. Text-to-image generation 5. DiffusionPipeline 6. Transformers 7. Accelerated computing 8. Creativity 9. Realism 10. Computational precision 11. Machine learning 12. Coherence 13. Artistic diversity 14. Evaluation metrics 15. Image quality 16. Visual storytelling 17. Content creation 18. Digital art 19. Creative expression 20. Innovation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Soil is a vital substance for all creatures in the world, soil has vast usage in different parts such as agriculture, civil work, foundation, bridges, embankment, buildings, canals, tunneling etc. Soil has different types and all the types of soil cannot fulfill all requirements of engineering properties and cannot stand against the properties such as mechanical strength, permeability, compressibility etc. among the different types of soils expansive soil is a weak soil which has less shear strength and should be stabilized for various construction purposes. Stabilization is the process of blending materials with soil in order to improve certain properties of soil like plasticity index, gradation, texture or act as a binder for the cementation of soil. Normally stabilization of soil is done by adding additives like lime, cement, etc. Cement stabilization is one of the effective stabilization processes but proves to be very costly in a long run. So, it needs an economic replacement by such materials which possess the same properties as that possessed by cement. It is being found that Pond ash possesses pozzolanic properties having silica as main component and Egg shell powder is having calcium oxide as its main component both being the main constituents of cement. Therefore, cement can be replaced partially or fully by these two waste materials in soil stabilization. A huge amount of eggshell and pond ash wastes is produced every year and there is an absence of effective waste disposal. Hence it is proposed to utilize ESP and pond ash for soil improvement which serves two purposes like waste utilization and also soil stabilization. In this present study, the two waste materials used are PA and ESP in different proportions. PA is first added in natural soil in different proportions like 3%, 5%, 7%, 9%and 11% by weight of soil and 5% PA was found an optimum proportion based on UCS values. After finding the optimum proportion of PA-soil mix i.e., 5% Then ESP was added in different proportions like 2%, 4%, 6%, 8% and 10% to the Soil-PA mix. From test results it was found that the UCS got a maximum value of 271.24 KN/m2 at 6% ESP.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pond Ash, Egg Shell Powder, maximum dry density, unconfined compressive strength

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Child sexual abuse is the involvement of a child in sexual activity that he or she does not fully comprehend, is unable to give informed consent to, or for which the child is not developmentally prepared and cannot give consent, or violates the laws or social taboos of society.1 Worldwide it is estimated that at least 1 in 10 girls and 1 in 20 boys experience some form of sexual abuse in childhood.2 The ultimate goal is to stop child sexual abuse before it starts. Strategies that support parents and teach positive parenting skills are very important. It is the need of time to understand and improve public awareness of child sexual abuse prevention, especially for the parents. Objectives: The study has been undertaken with the objectives to assess the level of knowledge regarding child sexual abuse and its prevention among the mothers of school going children, to evaluate the effect of an information booklet on child sexual abuse and its prevention among the mothers of school going children, to find out the association between the pre-test knowledge scores and selected demographic variables such as age, religion, education, occupation, number of the children and types of family.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

child sexual abuse, mothers, information booklet

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Internet is the global system of interconnected computer networks. It is the work of dozens of pioneering, scientist, programmers and researchers. On 6, August 1991, the World Wide Web became publicly available. Today the internet is a public, cooperative and self sustaining facility accessible to hundreds of millions of people worldwide. Internet addiction has been called internet dependency, and internet compulsivity .It causes severe stress on family, friend, loved ones, and one's work environment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

EFFECTS OF INTERNET ADDICTION ON PSYCHOLOGICAL HEALTH OF COLLEGE STUDENTS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An evaluation of Hindustan Zinc's free cash flow status is made in this study. This study aids in illuminating the reasons behind the company's cash inflows and outflows and provides an in-depth examination of the influence these factors have on the business's performance, enabling insightful recommendations to be made to enhance it going forward. The essential resource required to maintain a business's continuing operation is cash. Cash management entails organizing cash inputs and outflows, evaluating the benefits of cash, establishing effective systems and practices, and planning cash movements. The current research study has employed free cash flow as a technique for the scientific assessment of any business concern's performance. This research aims to investigate how the performance of the company is affected by free cash flow and its varying characteristics. The information is gathered from Hindustan Zinc's electronic annual reports, which span five years, from 2018-19 to 2022-2023; a single sample T-test is used for data analysis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Free Cash Flow, Free Cash Flow to Equity and to the Firm, Performance Appraisal

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the era of e-commerce, business enterprises have quite different features. In order to take full advantage of ecommerce, enterprises should carry out corresponding management innovations. Enterprise innovation management can help enterprises to achieve rapid development so as to win business opportunities, to get access to markets and obtain maximized profits. This study examines the new requirements on enterprise management in e-commerce era, including constantly updating thoughts of business management, flat organizational structure, management epitaxial expansion, Informa ionization of means of production and marketing, flexible production management. Evidence indicates that business process reengineering, organizational change, cultural transformation, knowledge management, creativity and communication management have strong influences on the enterprise development in terms of management and innovation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

e-business; enterprise management; innovation, Electronic Commerce

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vehicle accidents often occur due to the sudden appearance of obstacles while driving. The varying response times of drivers can result in delayed braking or an inability to stop in time, leading to collisions. To address this issue, we propose an Autonomous Braking System (ABS) that utilizes advanced mechatronic technology The system uses an Ultrasonic wave emitter at the front of the vehicle to send out Ultrasonic waves. When these waves hit an obstacle, they bounce back and are detected by an Ultrasonic receiver. By analyzing these reflected signals, the system calculates the distance to the obstacle and adjusts the vehicle's speed accordingly through a microprocessor. In emergency situations, the microcontroller takes control and activates the braking system to apply the brakes quickly and effectively, enhancing safety. An important enhancement to this system is the integration of a Python-based application using Flask. This application can dynamically determine the location of an incident and communicate it to the nearest emergency services using real-time geographical data. This communication is facilitated through GSM technology, which sends alarm signals and the vehicle's GPS location to the appropriate authorities, ensuring a prompt response and assistance Additionally, the system can be expanded to include inter-vehicle communication capabilities. This feature allows cars to share information about their locations and speeds, improving road cooperation and awareness. This not only reduces collisions but also helps in creating smoother traffic flow. Overall, the Autonomous Braking System aims to improve road safety by reducing response times and stopping distances, thereby preventing accidents and significantly enhancing emergency response capabilities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Autonomous Braking System, Emergency Braking, GSM Technology, GPS Location Tracking Ultrasonic Technology, Obstacle Detection

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Neurological and behavioral symptoms arising from medical conditions can significantly impact daily life due to their influence on brain structure and function. Early and accurate detection of these conditions is crucial, prompting significant interest in the application of computer-aided algorithms for diagnosis. Recent advancements in artificial intelligence (AI), particularly deep learning, offer novel solutions. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are being explored for their potential to analyze medical imaging data, such as Magnetic Resonance Imaging (MRI) scans, in the identification of these conditions. Deep learning algorithms demonstrate promising results with high accuracy. The accuracy rates for certain architectures, such as 18-layer CNN models, have been reported to exceed 98% in studies utilizing the powerful computer systems equipped with CUDA-enabled GPUs and large data sets of MRI scans from initiatives like Alzheimer's Disease Neuroimaging Initiative (ADNI). These results indicate that deep learning-based methods have the potential to improve and expedite medical diagnoses, paving the way for advancements in patient care.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Magnetic resonance imaging (MRI), Deep learning, Neurological disorder, ADNI, Artificial Intelligence

  License

Creative Commons Attribution 4.0 and The Open Definition