Volume 12 | Issue 4

 Abstract

Mugilai Rasapandian has recorded the conversions that took place after 1956 in Kanyakumari district and the religious riots that took place due to the fear of religion in the novel 'The Way'. It is a rare news that everyone is surprised that religious riots have taken place in Kumari district where everyone lived together as one family.The religious riots in Kumari district show that religion has the power to transform human feelings. Religion teaches virtues by refining man so that man should do good deeds and acquire good qualities and live in this world.But because of these religions, divisions and divisions have been created among the people, man has turned into an animal and caused religious riots, the land of Kumari, which lived in social harmony, has been turned into a land of riots. This review article records the religious turmoil shown by this novel.

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The way the novel shows conversions and religious riots

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Graphology is the study of handwriting to draw inference of an individual's character, disposition and attitude. The graphology studies three dominant sections viz; General Signs, Particular Signs and Resultant. The study of various aspects of graphology is needed before drawing any inferences such as size of handwriting, shapes of alphabets, spacing in writing, strokes, width of handwriting, etc. Further, it varies in different situations, age groups, and mental condition of oneself. Hence, a thorough study is required to draw accurate inferences. Graphology can be used in institutes to know students as well as teachers' personality and accordingly take/give suggestive measures to help them improve their overall personality and behaviour.

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Graphology, Size of handwriting, Attitude, Shapes of alphabets, Personality

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Drug allergies, including eosinophilia and systemic symptom syndrome, are acute, delayed-acting reactions to specific drugs. It is described in many words; however, burns with eosinophilia and systemic disease seem more appropriate. This infection causes clinical symptoms anywhere from 2 to 8 weeks after starting the offending drug. Standardized diagnostic criteria have been developed; However, its benefits have been demonstrated. Unfortunately, strong evidence-based statements do not adequately control the management of burn medications for eosinophilia and systemic disorders.

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Drug hypersensitivity, Anticonvulsants, Drug reaction, DRESS, DIHS, Eosinophilia.

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rimary dysmenorrhea (PD), or painful menstruation, is a common gynecological condition that can cause intense pain and functional disability in women of reproductive age. As a nonmalignant condition, PD is relatively understudied and poorly managed. The study aims to evaluate the prevalence of primary dysmenorrhea in young adult women. 160 women aged 18-25 were recruited, based on inclusion and exclusion criteria. Participants provided consent and completed the Menstrual Symptom Questionnaire (MSQ). Visnagar City has a significant prevalence of PD among young women aged 18-25, with 65.1% affected.

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Primary Dysmenorrhea, Menstrual Symptom Questionnaire, Prevalence.

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Abstract:The study aims to assess awareness, knowledge, and attitudes regarding physiotherapy among pregnant women in Gujarat's Mehsana District. It includes 60 educated pregnant women aged 18-35, excluding those with major neurological issues. Results show most respondents were graduates (58.3%) and unemployed (76.7%). Only 33.3% had sufficient physiotherapy knowledge. Attitudes varied, with 38.6% positive, 49.8% unsure, and 11.7% negative. While 93% were aware of physiotherapy, only 21% knew about antenatal exercises. Understanding of physiotherapy's significance for antenatal care was low, with only 36.7% believing they understood it

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Physiotherapy, antenatal care, knowledge, awareness, attitude.

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Dantrolene sodium, Forced degradation, RP-HPLC, method validation.

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For the purpose of early diagnosis and treatment planning, medical imaging plays a critical role in the detection of pneumonia. While convolutional neural networks (CNNs) and many deep learning algorithms have shown impressive results in medical image processing applications, there are still major hurdles associated with the computational load of training large-scale CNN models on big datasets. In this paper, we use the distributed computing framework PySpark to offer a unique method for CNN models' distributed training for pneumonia diagnosis. By distributing the training process across several nodes in a Spark cluster and utilizing PySpark's parallel processing capabilities, we can effectively utilize computing resources and handle big datasets thanks to its scalability. Our approach entails preprocessing the data, developing the CNN model using deep learning frameworks like TensorFlow and training the CNN model across a distributed system using Pyspark. This paper contributes to the growing body of research on distributed deep learning and its applications in medical image analysis, providing insights and guidelines for leveraging PySpark for large-scale CNN training tasks.

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Convolution Neural Networks, Pneumonia, Distributed deep learning,TensorFlow, X-ray Image, PySpark

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This study examined the relationship between interpersonal intelligence and mental health among prospective teachers. A survey was conducted with a sample of 250 student teachers selected through simple random sampling from various teacher education institutions. The Interpersonal Intelligence Scale and Mental Health Inventory were used to measure the variables. Multiple regression analysis was performed to test the hypotheses based on gender, locality, pedagogy subject, age, and type of institution. The findings revealed a significant positive correlation between interpersonal intelligence and mental health. Gender, locality, and pedagogy subject were found to moderate the relationship, while age and institution type did not have a significant effect. The study highlights the importance of developing interpersonal skills to promote mental well-being among future teachers.

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Interpersonal Intelligence, Mental Health, Prospective Teachers.

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Compliance with Tax Deducted at Source (TDS) offers taxpayers a complex environment that includes both opportunities and challenges related to tax administration. The complexities of TDS compliance are explored in this abstract, along with the opportunities and challenges that taxpayers must overcome. Overcoming complicated tax legislation, carrying administrative responsibilities, guaranteeing correctness in deduction and remittance, and adjusting to regular regulatory changes are among the difficulties. On the other hand, there are opportunities for taxpayers within these issues, like encouraging tax compliance, giving governments a reliable source of funding, streamlining the tax collecting process, and improving financial transactions' transparency and accountability. Taxpayers may help create a more just and efficient tax system that promotes economic growth by addressing these issues and taking use of the opportunities provided by TDS compliance.

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Complexities, Regulatory changes, Government

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Smart Crop System is web application that integrates several machine learning algorithms with recommendation systems. It mainly includes two main modules Crop Data Analytics [CDA] and Crop Recommendation System [CDS]. It seeks to offer a range of solutions to the issues the agriculture sector faces. The web application provides a number of options, such as Crop seasonal analytics, crop detection, and disease detection. Recommendation solutions include techniques such as regression, whereas detection solutions involve image pre-processing stages including contour detection, Normalization, and CNN model. Using resources from OpenCV and Open AI, this system seeks to reduce the amount of time needed for crop diagnostics and crop recommendations for the upcoming seasons.

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CDA, CRS, OpenCV, Open AI, Normalization.

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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.

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

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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.

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

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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.

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3D visualizations, DIY decorators, AR, personalize

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- 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.

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

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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.

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Assess, Information Booklet, caretaker, antipsychotic drugs

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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.

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Pothole, deep learning, Convolutional neural network

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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.

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

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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.

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

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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”.

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Agnikarma, Sciatica, Panchalohashalaka, lohashalaka .

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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.

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CRC, AUC, ROC, F1 Score

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