Volume 12 | Issue 5 |

 Abstract

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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 Keywords

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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 Keywords

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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 Abstract

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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 Keywords

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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 Keywords

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

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In spite of the protection guaranteed to women across the globe they are seen and treated as the second sex. This reality for women is perpetuated and propagated by the age-old traditions and practices. Thus, women empowerment is the need of the hour and entrepreneurship is the right tool to achieve it. However in recent years, there has been a noticeable shift towards fostering women's participation in entrepreneurship, driven by both societal changes and deliberate government initiatives aimed at promoting gender equality and economic development. This paper intends to highlight the factors that influence women to become entrepreneurs, the problems and challenges faced by women entrepreneurs in general, the nature of women entrepreneurs in Dhofar region and the challenges faced by women entrepreneurs, in dhofar region in particular.

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Entrepreneurship, challenges, work-life balance, business potential.

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Tankanadi Churna is a Herbo-mineral Formulation mentioned in the classical text called Siddha Bheshaja manimala. It is a Dadruhara Lepa which contains Tankana, Gandhaka, Navasadara and Mishri as ingredients. Tankanadi Churna is in Churna form(powder) which should be mixed with Nimbu swarasa(lemon juice) and applied on the affected area. Preparation of the Churna and Lepa are explained in the Sharangadhara samhitha. In the present study, Shuddha Tankana(Borax), Shuddha Gandhaka(Sulphur), Shuddha Navasadara (Ammonium Chloride) and Churna of Mishri (Rock sugar) were taken in a Khalwa yantra and properly mixed to prepare Tankanadi Churna. Step by step pharmaceutical procedures were carried out according to classical reference and SOP. Loss during the process, total yield is noted. Pharmacological action of the Tankanadi Churna is discussed in brief.

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Tankanadi Churna, Dadru Kushta, Churna nirmana, Pharmaceutical study.

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This research paper clarify about the integration of waste plastic into bituminous concrete mixes presents a promising solution to both environmental pollution and infrastructure durability challenges. This study explores the optimization of bituminous concrete mixes by incorporating various types and proportions of waste plastic, aiming to enhance pavement performance. Laboratory experiments were conducted to evaluate the mechanical properties, including tensile strength, rutting resistance, and durability, of bituminous concrete modified with waste plastic. The results demonstrated significant improvements in the performance characteristics of the modified concrete, with optimal plastic content enhancing the material's resistance to deformation and extending its lifespan. Additionally, the environmental impact assessment highlighted the potential of this approach in reducing plastic waste in landfills. This research underscores the dual benefits of incorporating waste plastic into bituminous concrete: promoting sustainable waste management and advancing the development of more resilient and long-lasting pavements. Further studies are recommended to refine the mix design and assess long-term field performance.

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Bituminous Concrete (BC), waste plastic, Flow value, environmental pollution, tensile strength

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