Volume 12 | Issue 5 |

 Abstract

Crimes against Muslims, characterized by discrimination, violence, and systemic oppression, are a serious concern in many parts of the world. These crimes range from hate speech and social discrimination to violent attacks and genocide. This paper examines the nature, causes, and consequences of crimes against Muslims in India and globally, highlighting key incidents, patterns, and the responses from governments and international organizations. The paper aims to provide a comprehensive understanding of the issue, emphasizing the urgent need for effective measures to address and prevent such crimes.

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LAW OF SEDITION IN INDIA: WITH SPECIAL REFERENCE TO ROLE PLAYED BY SUPREME COURT OF INDIA"

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This paper presents a comprehensive exploration of a highly advanced remote switch control system powered by LoRa (Long Range) technology, boasting an impressive operational range of up to 5 kilometers. The system architecture is meticulously engineered, featuring a constellation of cutting-edge hardware components meticulously integrated to optimize performance and reliability. Central to its design is the transmitter unit, equipped with four tactile push buttons, facilitating seamless user interaction for remote switch activation. Intricate firmware logic and communication protocols govern the transmitter's operation, ensuring robust signal transmission and data integrity preservation. Leveraging state-of-the-art LoRa transceiver modules and highfidelity microcontrollers, the system orchestrates precise command dissemination to the receiver unit, thus enabling unparalleled control over relay switches across vast distances. A focal point of this advanced remote switch control system is its receiver unit, which serves as the nexus for decoding incoming signals and executing precise switch actuation sequences. Delving into the intricacies of firmware implementation, this paper elucidates the receiver's role in processing command data with utmost accuracy and efficiency. Real-time feedback mechanisms, facilitated by an integrated OLED display unit, empower users with instantaneous insights into the operational status of the switches. As a testament to its adaptability and foresight, this project anticipates future research trajectories aimed at enhancing network scalability, refining signal modulation strategies, and integrating with emerging IoT paradigms. By embracing a forward-thinking approach, this advanced LoRa-enabled remote switch control system heralds a new era of connectivity and automation, with transformative implications spanning smart homes, industrial automation, and smart city infrastructure

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LoRaWAN, Wireless communication, NodeMCU, User-friendly

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Background: Ashwagandha, also known as WithaniaSomnifera, is a popular herb in Ayurveda, an ancient Indian medicine. It has been used for centuries to treat many ailments and is considered an adaptogen, meaning it helps the body to manage stress. In recent years, ashwagandha has gained attention in the western world for its health benefits. Its extracts are now available in many forms, including capsules, powders, teas, and tinctures. In this review article, we will take a closer look at ashwagandha's properties, benefits, safety and the latest scientific results. We will also discuss its traditional uses and how you can incorporate it into your daily life. If you are interested in using ashwagandha for stress management, immunity, energy, or other benefits, this review article will provide a complete overview of ashwagandha and its ability to improve health and well-being. Objective: This review article aims to provide complete summary of Ashwagandha Herbal plant. Provide an introduction to ashwagandha and its historical uses, also benefits of ashwagandha, such as reducing stress and anxiety and enhancing physical performance.

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Ashwagandha, Withaniasomnifera, Withanin

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MDF attracted great attention in the pharmaceutical and healthcare industries due to their potential as a patient-friendly dosage form. These thin, flexible The film is designed to dissolve rapidly upon contact with saliva, offering convenient administration, improved patient compliance, and enhanced bioavailability. This review provides an overview of the formulation strategies employed in the development of MDFs, including choice of polymers, plasticizers, and taste-masking agents. Evaluation parameters such as disintegration time, mechanical properties, drug release kinetics, and stability are discussed in detail, highlighting the importance of optimizing these parameters to achieve desired product performance. Additionally, the diverse applications of MDFs across various therapeutic area, including analgesics, antiemetic, antihistamines, and vitamins, explored. Future perspectives on the advancement of MDF technology, including novel formulation approaches and emerging applications, are also presented. Overall, mouth dissolving films represent a promising dosage form with the potential to revolutionize drug delivery and improve patient outcomes.1 Mouth dissolving films (MDFs) have emerged as a novel drug delivery system offering numerous advantages over traditional dosage forms. This article provides details of mouth dissolving films, their composition, manufacturing methods, and applications in the pharmaceutical and nutraceutical industries. Additionally, it discusses the formulation considerations, advantages, challenges, and future prospects of MDFs.

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Amla, Ginger, Coriander Seeds, Mint, Lemon

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E-Democracy is a blend of the terms electronic and democracy also known as Digital or Internet democracy which bolsters political self-determination as it facilitates unceasing engagement with the target voters. India had witnessed a biggest challenge in the political sphere with the unprecedented transition from conventional mode to internet trend. Social Media Analytics in the political context contributes deeper insight about the emotional state of voters based on every mention and conversation made by the general election competitors. This paper analyzes the Indian Election System with social networking sites such as Instagram,Facebook and Twitter. Techniques of social media analytics like Sentiment Analysis, Machine Learning, influencer analysis approaches which are often cited in the research literature are discussed to measure the polarity of sentiments. The paper concludes with future potential research directions.

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Sentiment Analysis,Political Communication,Political Campaigning,Political Marketing,Trend Analysis,Voter Behavior Analysis, Influencer Identification

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Medicines and vaccines have transform the prevention and treatment of disease. In addition of the benefits, medicinal product may also have side effects, some of which may be undesirable or unexpected. Pharmacovigilance is the science and activity relating to the detection, assessment, understanding and prevention of adverse effect of any medicine/vaccine related problem. All medicines and vaccines undergo rigors testing for safety and efficacy through clinical trials before they are authorized for use. However, the clinical trial process involves studying these products in a relatively small number of selected individuals for a short period of time. Pharmacovigilance is defined as "the science and activities relating to the detection, assessment, understanding, and prevention of adverse effects or any other possible drug-related problems." The objective is to extend safety monitoring and detect ADRs that have previously been unrecognized despite evaluation in clinical trials. Although these methods were developed for monitoring of pharmaceutical medicines, they are also used for additional evaluation of safety of other medicinal products, including herbals, blood products, vaccines, and even medical devices.Some of the challenges and future opportunities in this field are briefly discussed below.

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Pharmacovigilance, Adverse effect, Artificial intelligence, Post-surveillance marketing, Emergency Healthcare.

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Sanjeevini System represents a pioneering approach to drug operation, exercising machine literacy to streamline processes and ameliorate patient issues. By integrating advanced algorithms similar as natural language processing, pattern recognition, and prophetic modeling, Vaidyah assists healthcare professionals, cases, and watch givers in making informed opinions regarding drug operation. This innovative system aims to enhance patient safety, drug adherence, and healthcare provider effectiveness. Sanjeevini application of machine literacy ways enables it to effectively manage drug- related tasks, including decision-timber, dataset analysis, and vaticination systems. By using these capabilities, Sanjeevini demonstrates its implicit to revise drug operation in healthcare settings. One of the crucial features of Sanjeevini is its flawless integration into being healthcare systems, furnishing a stoner-friendly interface for healthcare professionals to pierce patient biographies and applicable medical information. This integration ensures that can fluently acclimatize to different healthcare surroundings, easing its wide relinquishment. also, Sanjeevini's capability to incorporate traditional Ayurveda drugs underscores its comprehensive approach to drug operation. By encompassing both conventional and indispensable curatives, Sanjeevini aims to feed to a different range of case requirements, further enhancing its effectiveness and applicability in clinical practice. In summary, Sanjeevini represents a scalable and adaptable result that has the implicit to transfigure healthcare delivery worldwide. By employing the power of machine literacy, Sanjeevini enhances patient safety, improves drug adherence, and empowers healthcare professionals to deliver high-quality care. As the field of machine literacy continues to evolve, Vaidyah paves the way for the future of drug systems, offering a promising path towards more effective and individualized healthcare results.

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Sanjeevini System, Machine Learning, Drug Management, Patient Safety, Healthcare Integration Predictive Modelling, Natural Language Processing, Pattern Recognition, Drug Adherence, Traditional Ayurveda.

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In recent years, humanity has witnessed several significant catastrophic disasters, including pandemics, wars, and earthquakes, in which millions of people required both emotional and mental support. Chatbots have been made use of for the past decade or so to improve delivery of mental health care services. Patients' perceptions and views impact the widespread use of chatbots in healthcare. Several studies have been carried out to evaluate patients' views and experiences on mental health chatbots. Our project focuses on finding a solution to this issue by building a chatbot which provides mental health-based support. The chatbot understands and responds to people's emotions through Natural Language Processing (NLP) and Long Short Term Memory (LSTM). It offers helpful advice for managing common mental health issues like stress and anxiety. It will also cover the benefits as well as the limitations of using chatbot for therapy as well as some suggestions as to how it can be enhanced in the future.

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Chatbot, Mental health support, Natural Language Processing (NLP), Long Short Term Memory (LSTM), AI therapist

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This study aims to investigate the interplay between mindfulness, mental well-being, and perceived stress among working adults. Using a sample of 150 adults aged 25-50, data is collected through both offline and online questionnaires, employing simple random sampling. Hypotheses predict a significant relationship between mindfulness and mental well-being (H1), an insignificant relationship between mindfulness and perceived stress (H2), and a significant relationship between mental well-being and perceived stress (H3). Analysis includes correlation design. The findings are anticipated to offer insights into workplace mental health and inform potential interventions.

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Mindfulness, Perceived Stress, Mental Well-being, Working Adults, Quantitative Analysis

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Abstract- This review explores the field of Internet of Things (loT)-enabled agricutural robots, looking at various applications and implementations in the agricultural industry. The study looks at how cutting-edge loT technology and agricultural methods are combining, illuminating how agricutural robots are revolutionizing resource optimization, crop monitoring, and precision farming. Three different paradigms are examined: the use of edge computing for accurate data analysis, the coordination of agricutural robots with conventional sensor networks, and the application of machine learning techniques for intelligent decision making. The benefits and drawbacks of each strategy are carefully evaluated, taking into account variables like data quality, cost-effectiveness, scalability, and ability to adapt to various agricultural situations.

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Precision farming, Internet of Things (loT), Agribot, and agricultural automation

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