Volume 12 | Issue 5 |

 Abstract

This story revolves around Sujata, a strong and modern mother, who grapples with the brutal loss of her son, Brati. Brati, a rebel, was killed by the state due to his ideology advocating the elimination of class enemies, collaborators, and counter-revolutionaries. His corpse is assigned the number 1084 in the morgue. The narrative unfolds as Sujata reflects on her son's life, from his birth to his revolutionary actions. She meets Brati's close accomplice, attempting to justify his actions and revolutionary mindset. Throughout the novel, Sujata emerges as a resilient woman who fights against the odds and her story vividly portrays the impact of political upheaval on families and the human stories that emerge from such turbulent times.

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 Keywords

Subalterneity, Revolution, Political upheaval, Patriarchy, Annihilation, Ideology

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 Abstract

Although the relative contributions of clinical, genetic, and environmental variables to this vulnerability vary depending on the medicine, adverse drug reaction, and ethnicity, all elements must be considered. Personalized pharmaceutical therapy is an intriguing way to reduce adverse drug reactions (ADRs) and increase efficacy since medication responses differ. With genetically driven medication and dose selection techniques, pharmacogenetics aims to make a difference. While ADR pharmacogenetics was initially brought to light in the 1950s, it has only recently experienced a sharp rise in popularity, partly due to enhanced genotyping tools and substantial advancements in our understanding of the human genome. ADRs are categorized based on whether immune- or nonimmune-mediated processes are the predominant mechanism Several ADRs have strong correlations with human leukocyte antigen, or HLA, alleles. The field of pharmacogenomics investigates the genetic differences in how individuals respond to various drugs, including differences in dosage needs, effectiveness, and the likelihood of adverse drug responses. With the potential to lower the frequency of ADRs and enhance patient outcomes, the use of genetic data to predict drug responses and adverse drug reactions (ADRs) is increasingly becoming used in clinical practice. Pharmacogenomic research has a lot of potential to improve medication safety and efficacy, which might eventually result in more individualized and successful therapeutic treatments.

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pharmacogenomics study, genetic related ADR

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Sinusitis poses a significant health burden globally, emphasizing the need for innovative diagnostic and therapeutic approaches. This paper presents a novel machine learning-based solution for sinusitis detection and personalized intervention. The system employs a robust machine learning model trained on a diverse dataset of facial images associated with sinusitis symptoms, utilizing advanced image classification techniques to discern patterns indicative of the condition. By distinguishing between sinusitis cases and healthy states, the system enables early detection and targeted intervention. Real-time insights into sinus health and personalized relief recommendations are provided to users based on classification outcomes. The study entails continuous model refinement through iterative learning and validation with expanded datasets, alongside collaboration with healthcare professionals for seamless integration into clinical practice. This research contributes to advancing sinusitis diagnosis and personalized care, promising improved outcomes and enhanced quality of life for affected individuals

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ML,ConvalutionalNeuralNetwork,Medical images,Sinus detection

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The empirical investigation of the mind and behaviour is known as psychology. Psychologists work hard to investigate and comprehend behaviour, the brain, and mental processes. Psychology is regarded as a "Hub Science" with close ties to education, the social sciences, and the medical sciences. In this project, we have aimed at understanding psychology as a broad discipline, and have tried to include the applicative aspects of it in our ecosystem as a graduate level student. Thereafter, pursuing our curious direction, we also tried to understand the criminal mind and the 'why's and how's' of how the mind of a serial killer works. Our findings are purely based on personal conduction of tests and inferences drawn from the limited access we had to tests and test clients/subjects.

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Psychology, Psychometric Analysis, Behavioural Analysis,Brief introduction to criminology, GAS, MPI, RORSCHACH INKBLOT TEST, SCQ,

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This abstract explores the intricate world of mutual funds, delving into the nuances of navigating familiarity and assessing the investment aspects associated with these financial instruments. Mutual funds have become a popular choice for investors seeking diversification and professional management of their portfolios. However, understanding the complexities and risks involved in mutual fund investments is crucial for making informed decisions. The abstract discusses the importance of familiarity with different types of mutual funds, including equity funds, bond funds, and hybrid funds, to align investment objectives with risk tolerance and return expectations. It highlights the need for investors to conduct thorough research and due diligence before selecting a mutual fund that suits their financial goals. Furthermore, the abstract delves into the critical aspects of assessing mutual fund investments, such as performance evaluation, expense ratios, fund manager expertise, and historical returns. It emphasizes the significance of Analyzing these factors to make sound investment choices and achieve long-term financial objectives. Overall, this abstract serves as a guide for investors looking to navigate the complex landscape of mutual funds, providing insights into how to leverage familiarity and assess key investment aspects to make informed and strategic investment decisions

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Mutual Funds, Gender Differences, Age Groups, Income Levels, Investment Weightage, Investment Perspectives, Investment Methods, Investment Duration, Mutual Fund Types, Investment Benefits

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The Unani System of Medicine traces its origins to Egypt and its sister civilization, Mesopotamia, with its earliest roots often attributed to Hermes (Idris A. S.). While it initially took on a more scientific form under the influence of Hippocrates in ancient Greece, it underwent further refinement and development by Arab physicians. Upon reaching Iran and other Persian countries, the Unani System experienced significant enhancement and improvement, thanks to the substantial contributions of Persian physicians. They played a crucial role in not only translating existing texts but also composing original works, which were subsequently translated into various languages and served as textbooks in European schools during the Dark Ages in Europe. Here, we explore the contributions of several physicians written in Persian language and provide brief accounts of their remarkable achievements in this article.

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Mesopotamia, Unani System of Medicine, Persian physicians

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The Permanent Magnetic Synchronous Motor (PMSM) has garnered increasing attention in various high-performance applications such as electric vehicles, owing to its advantageous features including high power density, power factor, and efficiency. This paper introduces a novel approach for speed control of Permanent Magnet Synchronous Machines (PMSM) drives, utilizing fuzzy logic-based control techniques. PMSM torque and speed control has relied on Field Oriented Control (FOC). However, advancements in vector control techniques have expanded the application of PMSM motors into domains where previously only DC drives were feasible. The proposed fuzzy logic-based speed controller is meticulously examined with MATLAB/SIMULINK under various operating conditions, including sudden changes in load demand and frequent alterations in speed, such as sudden speed reversals. Through rigorous analysis and simulation, this approach aims to demonstrate its effectiveness in maintaining precise speed control and robust performance in dynamic operating environments. By combining the advantages of PMSM technology with the adaptability and robustness of fuzzy logic control, this research seeks to contribute to the advancement of high-performance electric drive systems, particularly in applications requiring agile and responsive motor control.

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PMSM, PWM, Fuzzy Logic Controller, Vector Control

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Shingles caused by the reactivation of the varicella-zoster virus, often presents with painful skin rashes and blisters. While antiviral medications are commonly used for treatment, herbal remedies have gained attention for their potential to alleviate symptoms and promote healing. These study explores the development and efficacy of a novel herbal cream formulated specifically for shingles relief. The cream comprises a blend of natural ingredients known for their anti-inflammatory, analgesic, and antiviral properties, including extracts of licorice root, Neem,Tulsi, Turmeric, Aloevera gel , Rose oil, and St. John's worth.The research methodology involved a randomized controlled trial with participants diagnosed with shingles. The cream was applied topically to affected areas, and outcomes such as pain reduction, lesion healing, and overall symptom relief were assessed over a defined period..Preliminary results indicate promising outcomes, with a significant reduction in pain and faster healing observed among participants using the herbal cream compared to controls. The cream's tolerability and safety profile were also favorable, with no reported adverse effect. .In conclusion, this herbal cream shows potential as a complementary or alternative treatment for shingles, offering symptomatic relief and aiding in the recovery process. Further studies are recommended to validate these findings and explore the mechanisms underlying the cream's therapeutic effects.

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Key words: licorice, Shingles, varicella zoster virus.

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This survey investigates the growing imperative for effective abnormal event detection in video monitoring applications, propelled by the ubiquitous deployment of surveillance cameras in both public and private spaces. Recognizing the challenges posed by labour-intensive human-based surveillance, the study focuses on the current landscape of state-of-theart methodologies in machine learning and deep learning for abnormal event detection. By expanding on prior research, the survey meticulously assesses the techniques' applications within the context of surveillance videos, scrutinizing datasets utilized and providing a nuanced analysis of their strengths and limitations. Through an exhaustive literature review, the paper aims to shed light on the principal challenges inherent in abnormal event detection, distilling key insights to guide future research endeavours in this critical domain. Moreover, the survey contributes to the discourse on bolstering security through intelligent video surveillance systems by synthesizing existing knowledge. In a parallel exploration, the review delves into the realm of crime prediction employing machine learning and deep learning techniques. Examining over 150 articles, the paper elucidates the diverse algorithms applied in predicting crime occurrences, offering insights into patterns and trends. Access to datasets used by researchers is provided, along with an analysis of prevalent approaches and factors influencing criminal activities. The paper identifies potential gaps and proposes future directions to enhance prediction accuracy. As a comprehensive reference for researchers, this overview serves to consolidate the multifaceted landscape of crime prediction using machine learning and deep learning approaches, facilitating advancements in this field.

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 Keywords

Video Monitoring, Surveillance Cameras, Artificial Intelligence , Machine Learning, Deep Learning, Scrutinizing Datasets, Crime Prediction, Threat Detection, Crowd Surveillance.

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Six Sigma is a data-driven methodology aimed at improving processes by reducing variability and defects. This paper explores the origins, principles, methodologies, and applications of Six Sigma. It also examines the benefits, challenges, and future trends of Six Sigma in various industries.

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 Keywords

Six Sigma, DMAIC, DMADV, process improvement, variability reduction, quality management

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