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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 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition