Volume 12 | Issue 4 |

 Abstract

The current study's findings show that many phytochemicals, including polyphenolic components such alkaloids, flavonoids, tannins, steroids, and phenols, resins, and carbohydrates, are present in the ethanolic extract of Trachysprmum ammi bark. Ethnobotanical and traditional uses of natural substances, particularly those derived from plants, have drawn a lot of attention recently as they have been scientifically proven to be safe for human use and to be beneficial. When looking for novel compounds to treat a variety of illnesses, this traditional method works the best. A thorough review of the literature on Trachyspermum ammi revealed that traditional healers and members of different ethnic groups frequently use it as a therapy for a variety of illnesses. Based on the results, we can conclude that the ethanolic extract of Trachyspermum ammi bark can be attributed to Anti-oxidant activity and Anti-ulcer activity. However, the isolation of active constituents from the ethanolic extract of Trachyspermum ammi bark species and its action responsible for its Anti-oxidant activity and Anti-ulcer activity effect can be useful for the treatment of the same in future.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trachyspermum ammi, Anti-oxidant activity and Anti-ulcer activity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The IoT (Internet of Things) based smart parking system is a modern solution designed to address the challenges of urban parking management. Leveraging the power of interconnected sensors, communication technologies, and data analytics, this system offers real-time monitoring and optimization of parking spaces, enhancing efficiency, convenience, and user experience. The IoT based smart parking system is a comprehensive solution aimed at revolutionizing urban parking management. Traditional parking systems often suffer from inefficiencies, such as limited visibility into parking space availability, long search times for drivers, and inefficient space utilization. To address these challenges, the smart parking system integrates various IoT technologies to provide real-time monitoring, analysis, and optimization of parking spaces. Overall, the IoT based smart parking system represents a paradigm shift in urban parking management, offering a scalable, efficient, and user-centric solution to address the challenges of modern parking infrastructure. By harnessing the power of IoT technologies, data analytics, and seamless connectivity, this system aims to create smarter, more sustainable cities for the future. At the core of the system are IoT sensors deployed in parking spaces, capable of detecting the presence or absence of vehicles. These sensors communicate wirelessly with a centralized control system, which aggregates the data and provides actionable insights. Through web or mobile applications, drivers can access real-time information about available parking spaces, navigate to the nearest available spot, and even reserve parking in advance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parking Slot, Arduino UNO, NodeMCU, Blynk application, SPS - Smart Parking System

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The AR-based interior designing and shopping app represents a solution that utilizes augmented reality (AR) to revolutionize the world of interior design and home decor. This innovative mobile application provides users with a dynamic and immersive experience, empowering them to effortlessly visualize, customize, and purchase furniture and decor items with ease and confidence.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

3D visualizations, DIY decorators, AR, personalize

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

- Steganography is the process of hiding secret information, be it text, images, or videos, within digital media in a manner imperceptible to human eyes. The rise of deep learning technology has marked a powerful advancement in various applications, including steganography, attracting significant attention and fostering extensive research. This paper presents a concise review of diverse steganography technologies, encompassing both traditional methods and the latest emerging deep learning techniques. Spatial domain technologies like Least Significant Bit (LSB), and transform domain technologies such as Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT), are explored alongside deep learning technologies like Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) in the context of steganography. The discussion extends to various datasets used in steganography research, including BossBase, ImageNet, and MNIST. This paper aims to provide valuable insights for fellow researchers by reviewing contemporary trends and offering potential directions for the future of steganography research.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Steganography, GAN steganography, CNN steganography, Data hiding, Spatial-domain steganography, Transform-domain steganography.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Problem statement: "A study to assess the effectiveness of Information Booklet on knowledge among caretakers regarding the care of patient receiving antipsychotic drugs in tertiary care hospital of the city." Material and Method: Quantitative research approach, 100 samples were collected by using non-probability convenience sampling technique. A study conducted on caretakers of patient receiving antipsychotic drugs in tertiary care hospital of the city. Demographic variables collected as age, gender, educational level, occupation, type of family, relationship with patient, duration of taking antipsychotic drugs and whether the caretakers cared for patient with psychiatric illness before. By using the self-structured questionnaire on caretakers of patient receiving antipsychotic drugs, pre-test and post-test conducted. Result: The mean post test score 20.24 (1.670) was higher than the mean pre-test score 12.21 (3.331). These scores indicates that the Information Booklet was effective. The significant difference between two tests were tested by using paired 't test'. The level of significance was set at the computed 't' value (p< 0.05), indicated that there was a significant difference in the knowledge among caretakers of patient receiving antipsychotic drugs. The mean difference 21.548 between pre-test and post-test knowledge score among the caretakers of patient receiving antipsychotic drugs was found to be significant. Means Information Booklet is effective to increase knowledge among caretakers of patient receiving antipsychotic drugs. Majority 30% were in the age group 31-40 years, 26% in the age group of 51-60 years, 22% in 18-30 years and 41-50 years respectively. Majority caretakers were males 51% and females were 49% and no transgender. Majority of caretakers 44% completed their secondary education, 24% completed higher secondary education, 18% completed graduate / professional / diploma, 11% completed their primary education and only 3% were postgraduate and above. Majority of the caretakers 48% were unemployed, 28% were doing service and 24% were self-employed. Majority of them were living in nuclear family (71%), 28% living in joint family and only 1% in separated family. Highest percentage (30%) of the caretakers were spouse, 16% caretakers were father and children respectively, 15% caretakers were mothers, 12% caretakers were in other category (friend etc.), and 11% were siblings. Majority 35% psychiatric patients were receiving antipsychotic drugs for 10 years and above, 27% psychiatric patients were receiving antipsychotic drugs since less than one year and 19% were receiving since 1-5 years & 5-10 years respectively. Conclusion: This study concluded that there is improvement in the level of knowledge among caretakers of patient receiving antipsychotic drugs which indicates that the Information Booklet is effective. The development of Information Booklet will help the caretakers of patient receiving antipsychotic drugs to enhance their knowledge regarding antipsychotic drugs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Assess, Information Booklet, caretaker, antipsychotic drugs

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In regions like India, where road maintenance is a significant challenge and potholes pose a severe threat to drivers, the need for automated detection solutions is paramount. This paper addresses this challenge by creating a new dataset comprising 1500 images of Indian roads and annotating it for training a deep learning model using YOLO v7. Despite the lack of existing pothole datasets specific to India, leveraging convolutional neural networks (CNNs) proves effective in detecting these hazards. By harnessing the power of deep learning, this approach offers a cost-effective and efficient solution for identifying potholes and road traffic signs which contributing to improved road safety and accident prevention in high-risk areas like India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pothole, deep learning, Convolutional neural network

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project's goal is to create a productive web-based application for tracking expenses that classifies expenses using a BERT model. With the help of this application, users can effortlessly track, organise, and evaluate their spending. The intuitive interface facilitates effortless data entry and expense management, and private is protected by safe authentication procedures. Insights into spending trends and budget allocations are provided by advanced features like summaries of expenses, data visualization, and customizable categories. With an emphasis on integrating the BERT model for expense categorization, the report goes into detail about the development process, covering system architecture, design methodologies, implementation strategies, and technology utilization. It places a strong emphasis on responsiveness across various devices, usability, and accessibility. The report also looks at future prospects and possible improvements, with the goal of leveraging the BERT model to further enhance the application's features and capabilities. By effectively classifying and analyzing expenses, the expense tracker web application not only helps with expense management but also encourages responsible financial behaviour and financial literacy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Finance, Transaction, Budget Tracking & Analysis, BERT model, Holt-Winters model, react.js, node.js

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Most of the marketed cosmetics when applied on the skin cause dryness of skin after its long term use which results less life of skin problems of acne and redness. Solution for this problem is use of scrub gel once or twice in week which consist all herbal ingredients which increases cleansing, softening, moisturizing, fairness of skin. In the present work we have formulated the herbal facial scrub by using a different herbal powders and it was evaluated by using the parameters like smoothness, appearance, spreadibility, irritation etc. Thus, in the present work, we formulated a herbal scrub gel which can be easily made with the easily available ingredients. After evaluation, we found good properties for the free from skin irritation and maintained its consistency even after stability storage conditions. Results of the study scientifically verified that herbal scrub gel having enough potential to give efficient glowing effect on skin. The overall study is useful to substantiate product claims due its useful benefits on the human beings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words :- Scrub gel, herbal, softening, and cleansing, moisturizing, fairness.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Gridhrasi is one of the vatavyadhi according to Ayurveda. It is a ruja pradhana vyadhi.On the basis of the symptoms Gridhrasi can be correlated with Sciatica. It is a crippling disease,causing throbbing pain in hip and radiating downwards,with the sciatic nerve.Trauma, overloading, prolonged standing, sedentary lifestyle and neurological factors are said to be the causative factors.About 60-80% of people get affected by low back pain and amongst which 6 percent⁴ are reported to have radiating type of pain.It disturbs daily routine of the patients because of continuous and stretching type of pain.Despite of all advances in modern medicine ,Sciatica merely managed with Analgesics,NSAIDs, Muscle relaxants which have long term severe side effects .In Ayurveda ,various methods used in the treatment of Gridhrasi are Bheshaja ,Basti,Siravyadana and Agnikarma. The common indications of Agnikarma⁶ include pain, stiffness, muscle spasm and inflammatory conditions ,these symptoms are observed in the Gridhrasi. The disease treated with Agnikarma do not recur and there is no fear of putrefaction and bleeding, and ultimately it produces balancing effect on vitiated vatadosha. Agni karma done by using Panchaloha Shalaka,which does vata kapha shamka. Agnikarma done by using lohashalaka which works as a Rejuvenator,health promoter, and it balances all the tridoshas.Hence considering above facts this study has been planned as“A RANDOMIZED COMPARATIVE CLINICAL STUDY TO EVALUATE THE EFFICACY OF AGNI KARMA WITH PANCHALOHA SHALAKA AND LOHA SHALAKA IN GRIDHRASI VIS-À-VIS SCIATICA”.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agnikarma, Sciatica, Panchalohashalaka, lohashalaka .

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Colorectal cancer is still a major global public health concern that requires accurate and timely identification to intervene effectively. This study uses a large dataset with clinical and pathological variables to investigate the use of logistic regression for colon cancer identification. The dataset includes demographic information, lesion characteristics, and histological results obtained from colonoscopy tests. The dataset was preprocessed using feature engineering approaches, which included fixing missing values and normalizing variables to ensure the best possible model performance. Known for its effectiveness in binary classification tasks, logistic regression was the main predictive model. After thorough training and assessment, the logistic regression model showed encouraging results in differentiating between benign and malignant colon tumors. Evaluation metrics included the receiver operating characteristic (ROC) curve, recall, accuracy, and precision.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CRC, AUC, ROC, F1 Score

  License

Creative Commons Attribution 4.0 and The Open Definition