Volume 12 | Issue 3 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aloe vera, a succulent plant species renowned for its medicinal and skincare attributes, has a rich history spanning centuries, with origins believed to trace back to the dry regions of the Arabian Peninsula and North Africa. This wonder plant, scientifically known as Aloe barbadensis Miller, has garnered global attention for its therapeutic benefits, prominently featured in traditional medicine systems and modern research alike. Its gel-like substance, extracted from the fleshy leaves, contains a plethora of bioactive compounds, including polysaccharides, anthraquinones, enzymes, saponins, and sterols, alongside essential vitamins and minerals. These constituents confer upon aloe vera a wide array of pharmacological actions, such as anti-inflammatory, wound healing, antimicrobial, moisturizing, immunomodulatory, gastrointestinal, antioxidant, and potentially hypoglycemic effects. These properties have led to its extensive use in treating various ailments ranging from skin conditions and digestive issues to chronic diseases. However, caution is advised regarding the oral consumption of aloe vera products due to potential adverse effects. This review provides comprehensive insights into the historical significance, origin, distribution, species diversity, morphology, cultivation practices, phytochemical composition, and pharmacological actions of aloe vera, highlighting its remarkable contributions to traditional and modern medicine, as well as the cosmetic industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aloevera, Skincare, Anti-inflammatory, Aloe barbadensis, Immunomodulatory, Antioxidant

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Creative Commons Attribution 4.0 and The Open Definition

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Women empowerment is very essential for the development of our society. Empowerment means individuals acquiring the power to think and act freely, exercises choice and fulfill their potential as full and equal members of society. Various types of strategies can be applied for the empowerment of women. Now a day's our government implement various programmes to promote the women entrepreneurship as a part of women empowerment. The economic participation of women is improved from the period of independent India to now. But the rate of growth is slowly .majority of the women is literate but they face the problem of educated unemployment. Women to entrepreneurship are a better method to reduce this type of unemployment at certain level. But in the case of entrepreneurship among women face a lot of problems in their entrepreneurship carrier, especially in the initial face. A critical evaluation and solution is essential for these types of problems in our society. So this study analyzes the prospects and challenges among women entrepreneurship a case study of kodakara panchayath from Thrissur district in Kerala.

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Creative Commons Attribution 4.0 and The Open Definition

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women empowerment,Entrepreneurship

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Creative Commons Attribution 4.0 and The Open Definition

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This project aims to design a user-friendly composter for household wet waste, addressing the increasing need for efficient waste management. It will focus on developing a compact composter using aerobic composting techniques to produce nutrient-rich compost for gardening. Additionally, the project will provide education and resources on waste segregation and composting methods. Evaluation will consider waste diversion, compost quality, and user feedback to promote environmental stewardship and community sustainability.

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Creative Commons Attribution 4.0 and The Open Definition

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composter, household wet waste, nutrient-rich compost, waste segregation, composting methods, community sustainability

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Creative Commons Attribution 4.0 and The Open Definition

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Learning Prediction Technique and Data Science (LPT-DS) Is one of the way to simulate disease prediction technique. When we organize the data between method and machine will fetch the data from metadata. Machine always gives more accurate results based on the collected data from metadata. All metadata will follow to the linked and trained data. The dataset is a collection of metadata with the combination of dataset and trained data will gives more desirable results including learning techniques i.e. Regression, Clustering, Time-Series Forecasting, Sigmoid model, and Support Vector Machine. When past life stories appear, the metadata has been referred to as past life regression. However, regression technique does not try and prove the truth of these stories; rather, it uses the client's interpretation as a trained list, it means of providing a powerful transpersonal experience for execution. When traumatic memories, brain or mental health based on the source of the problem, regression technique includes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Prediction, Personalization, Participation, Database, Non-communicable chronic diseases, Proactive, Healthcare innovation and Prevention, Dataset. Linear, Non-Linear learning techniques, support vector machines, Sigmoid and Restricted Boltzmann Methods.

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Creative Commons Attribution 4.0 and The Open Definition

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Widespread use of herbal drugs because of their protective effects on different organs toxicity has been shown in many studies. These protective effects have been illustrated in the fields of nephrotoxicity, hepatotoxicity, viral hepatitis, cancer, in vitro fertilization, neurotoxicity, depression, lung diseases, prostate diseases etc. Silymarin has cytoprotection activities due to its antioxidant activity and radical scavenging. The possible known mechanisms of action of silymarin protection are blockade and adjustment of cell transporters, p-glycoprotein, estrogenic and nuclear receptors. Moreover, silymarin anti-inflammatory effects through reduction of TNF-?, protective effects on erythrocyte lysis and cisplatin-induced acute nephrotoxicity have been indicated in some studies. Silymarin has also inhibited apoptosis and follicular development in patients undergoing IVF. Basis on such data, silymarin can be served as a novel medication in complementary medicine

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Antioxidant, Cancer, Liver, Medicinal plant, Silymarin

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Creative Commons Attribution 4.0 and The Open Definition

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Sanjeevani, a mysterious character in Hindu mythology, continues to intrigue as it remains a prominent figure in ancient civilizations. Despite the passage of time, much of the vegetation associated with it persists and holds significance in modern times. Among the various therapeutic plants utilized by indigenous populations, Sanjeevani stands out as the most renowned. This revitalizing herb is believed to possess the power to restore life itself.In the epic Ramayana, Hanuman sought counsel from Sushena before embarking on a quest to locate the elusive plants on Dunagiri Hill. Throughout history, people have often recounted the paranormal effects attributed to such vegetation. Sanjeevani, with its extraordinary value to society, warrants careful exploration.A remarkable species known as Selaginella bryopteris (L.) Baker, locally referred to as Sanjeevani, holds a unique place in India. This pteridophytic plant belongs to the Selaginellaceae family and possesses exceptional resurrection abilities. Thriving in the steep tropical regions of the Himalayan Region, this lithophytic plant is commonly known as Sanjeevani booti in Sanskrit. To confirm its botanical identity, plant specimens were collected from the Chamoli valley in the Uttarakhand region.Selaginella has a long history of use in treating various ailments, including abnormal menstrual cycles, post-childbirth uterine pain, jaundice, heatstroke, wounds, and internal health issues, among others. Its chemical composition includes alkaloids, phenols, flavonoids, and numerous secondary metabolites, providing it with a broad spectrum of antimicrobial, antifungal, antibacterial, antiviral, and antioxidant properties. Additionally, it serves as a tonic for enhancing overall health and extending lifespan. Current investigations are centered on gaining specific insights into Selaginella bryopteris and its diverse pharmacological activities, which have the potential to enhance fitness and well-being.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sanjeevani, Bio Flavonoids, Mountains, Lithophytic Plant, Old Customs, Traditional Knowledge.

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Creative Commons Attribution 4.0 and The Open Definition

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The integration of Internet of Things (I0T) technology into ambulance services has ushered in a new era of emergency medical response, promising significant enhancements in both efficiency and patient care. This abstract explores the concept of IOT Smart Ambulances and their role in revolutionizing emergency response and patient care. By leveraging a myriad of advanced technologies and components, including real-time monitoring sensors, robust communication systems, and intelligent data processing platforms, IOT Smart Ambulances aim to optimize resource allocation, improve response times, and enhance patient outcomes. This paper delves into the key features, challenges, and future directions of IOT Smart Ambulances, providing valuable insights for researchers, practitioners, and policymakers in the field of emergency medical services. Through a comprehensive examination of the potential of IOT technology in ambulance services

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IOT Smart ambulance, Emergency Response, Patient Care, Internet of Things, Ambulance Services, Healthcare Innovation, Real Time Monitoring, Communication System, Data Processing, Resource optimization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The emergence and spread of infectious diseases often lead to widespread concern and discussion on social media platforms like Twitter. Understanding public sentiment during outbreaks is crucial for health authorities and policymakers to gauge public perception, address misinformation, and implement appropriate interventions. In the case of the Monkeypox outbreak, the analysis of Twitter data using machine learning techniques for sentiment analysis can provide valuable insights into public sentiment and opinions. This study aims to conduct sentiment analysis on a comprehensive dataset collected from Twitter during the Monkeypox outbreak. By leveraging machine learning algorithms, we seek to classify tweets into different sentiment categories, such as positive, negative, or neutral, to discern the general public opinion regarding the outbreak. The sentiment analysis will involve natural language processing (NLP) techniques to understand the sentiments expressed in tweets and quantify the overall polarity of opinions. The dataset comprises tweerts collected during the outbreak period, containing keywords related to Monkeypox. Leveraging machine learning models like Support Vector Machines (SVM), Naive Bayes, or Recurrent Neural Networks (RNNs), we will preprocess the text data, perform feature extraction, and train the models to classify tweets based on sentiment.Understanding the sentiment of the public towards the Monkeypox outbreak from Twitter data can provide valuable insights into community perceptions, concerns, and the overall impact of the outbreak on social media discourse. The findings of this analysis could assist health authorities in devising targeted communication strategies, addressing public concerns, and managing the outbreak more effectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

higher education, sentiment analysis, machine learning, big data, twitter

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition