Volume 11 | Issue 12 |

 Abstract

The primary focus of this review is to address the challenges associated with the solubility and bioavailability of BCS Class-II drugs. These drugs are characterized by their low solubility and dissolution rates, making it essential to enhance their solubility to achieve the desired drug concentration in the systemic circulation and, subsequently, a pharmacological response. Class-II drugs, commonly formulated in solid dosage forms like tablets and capsules, necessitate improvements in their solubility and dissolution rates. To tackle these issues, various methods and emerging technologies have been developed. These innovative approaches aim to increase the solubility and bioavailability of BCS Class-II drugs. This article provides a comprehensive review of the current literature, focusing on the latest techniques and methods, as well as recent research in the development of formulations for Class-II drugs.

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 Keywords

Chemical electric magnetic field, Coamorphous, Ibuprofen, Optical response curve, Paracetamol, Saturation solubility.

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Abstract: North-East is a land of colourful tribe and their culture. The culture of north-eastern states is characterized by the diverse ethnic groups settled in the region. Each tribe has its own distinct custom, cuisine, attire and dialect. One of these tribes is the 'Sonowal Kacharies'. The Sonowal Kachari is indigenous and major Indo-Mongloid tribes of Assam. Therefore they are differentiated from others with their multicoloured traditions, social system, ritual, habits, economic and political life. The Sonowal Kacharis are resourceful in their Folklore and Folk life. With the tribal behaviour and immense love for their land, water, sky and above all the universe they deliver some performances during their working or in the leisure which are related to their life, activities and the universe. Hope, desire, happiness, sorrow, terror, adoration, social system, struggle, pleasure, tiredness, hunger of their life is reflected in these performances. Among the variety of Folk performances Bihuwa Nach, Baithow Puja, HaidangGeet, Huchari Geet, Gojai Sabah, Sarag dew Puja, Hogra Nach, Leseri, log Bihu, kulaburi nach etc. are unique habits to this tribe. The main aim of this research paper is to discuss Baithow Puja as a folk tradition of Sonowal Kachari Community and also to analyse the importance of Baithow on their tribal life. This paper is basically descriptive in nature. To prepare this research paper the investigator used both primary and secondary sources of data.

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Keywords: Sonowal Kacharies, Baithow Puja and Culture.

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This research explores the integration of empathy into machine learning models, aiming to enhance user experiences in diverse domains such as virtual assistants, healthcare, and recommendation systems. The study investigates technical methodologies, ethical considerations, and the impact of empathetic AI on user perceptions and satisfaction. By emphasizing a user-centric approach, this work contributes to the ongoing discourse on ethical AI development, envisioning a future where empathetic AI is a fundamental component, enriching interactions across various domains.

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 Keywords

Introduction, Review Of Literature, Methodology, Technological Advancements, Economic Implications, Social Implications, Potential Solutions, Cases Studies, Negative Impact, Future Implications, Conclusion, References

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As Internet usage is growing dramatically, there are tons of web content getting generated every day on social media, websites, etc. Over 90% of the data that is generated is unstructured. To make them structured, like making them categorize, summarize, and make some conclusions, we must read the entire data, which is really huge. So, to overcome this problem, this paper proposes a new text classification method using Natural Language Processing (NLP) techniques and Deep Learning algorithms. It also has Deep Learning algorithms such as CNN and Transformers, and Transformers + CNN for classifying the news text. To check the performance of the classification, the model accuracy metric was used, and the best model was integrated with the front end.

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NLP, CNN, News, LSTM, RNN, CUD toolkit, python, Deep Learning, Classification, Django.

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Covid-19 is considered to be one of the biggest threats to people's lives. A worldwide lockdown was imposed, and it affected many important sectors, one of them being the entertainment and media industries. People were stuck in their houses and had nothing to do but enjoy the 'new normal'. They switched to Ott platforms for entertainment and from digital to print media. They also switched from hard copies of books to e-books. Because of this flare-up of COVID-19, the entertainment and media industry saw some positive effects but many negative ones. The authors have tried to portray these statistics through the collection and representation of data, and also state reasons for the same.

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Entertainment, Media, Covid-19, Social-Media, Viewership, Unemployment, Print Media

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This research paper focuses on the fundamental ecological issues prevailing on the society and a need for ecological consciousness which is represented through the dystopian literature. Dystopian fiction raises the awareness and ecological consciousness in the readers by presenting the dangers and impediments which can occur in the near future due to the negligence of human actions towards ecology and also to the environmental well being. Dystopian literature portrays the serious environmental issues such as increase in global temperature, dangers of overuse of technology, harmful effects of radiation, pollution, water and food shortages, lack of organic agriculture, overpopulation, and extinction of wildlife species, deforestation and many other issues which could have a massive impact on the lives of both nature and human beings on earth. Many concepts and theories arose like ecocriticism to emphasis the harmony and relationship between human beings and nature. In turn human beings serves as a root cause for the imbalance in the ecosystem and the dystopian novels serves as tool to how humans should be responsible for their action of inaction towards the environment. Thus dystopian literature and writers aims to raise ecological consciousness by imagining the worst case scenarios where the prevailing anthropocentric and ecological unconsciousness could lead to the extinction of the human civilization in the near future.

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Ecology, ecological consciousness, dystopian literature, ecocriticism, ecological crises, dystopian fictions.

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Face recognition is one of the most useful technologies in Deep Learning which is a part of Machine Learning. The Haar- Cascade method is used to detect and recognize faces from images and videos by considering the features like size and shape of eyes, nose and mouth . The model captures live images , compares them to a database of pre-trained images , and upon a successful match logs the recognized persons details in Excel format . These details include the individual's name, id number , time and date of recognition . The admin has the authority to access these details and keeps track of who's around. So, in simple terms, face recognition systems are like super-smart detectives that help keep things safe by recognizing familiar faces

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Facial Recognition, Live Detection , Haar-Cascade, OpenCV-Python, Deep Learning, Data Management

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This study has been undertaken to investigate, the integration of drone technology in different sectors, including construction, has been a significant development. By harnessing the power of drones, project managers can greatly enhance communication and improve project efficiency. This study aims to thoroughly explore the potential of drones in construction and shed light on the numerous benefits and impacts of this emerging trend in construction management. Through the utilization of lidar technology, this review article carefully analyzes the existing knowledge in the field and examines the effects of drone usage in the construction industry. Furthermore, the article delves into the advantages of incorporating drones into construction projects, considering various dimensions of project management. To achieve the research objective, a comprehensive analysis is conducted to uncover the wide-ranging applications of drones throughout the construction project lifecycle. This analysis not only involves identifying the benefits, challenges, and costs associated with their usage but also delving into the considerations that require careful attention

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Drone technology, Unmanned Aerial Vehicle (UAV), lidar drone technology, Construction technology trends, and construction stages, project managment,3d modeling.

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The Internet of Things is a new communication paradigm that predicts a near future in which everyday objects will be fittedw ith microcontrollers, transmitters for protocol stacks, and thec orrectdigital communications that allow them to communicate with each other and with users, becoming an essential compone nt of the Internet.The concept of the Internet of Things aims to make the Internet more widespread and immersive.Furthermo re, by enabling simple access to and interaction with a wide ran ge of devices such as home appliances, surveillance cameras, tr acking sensors, displays, vehicles, and so on, the Internet of Thi ngs will encourage the development of a number of application s that use thepotentially enormous amount and variety of data collected by such objects to provide new services to organizatio ns, citizens, and government departments.

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Smart Web Services, Internet Technology, and Communication.

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Over the past decade, immunooncology (IO) has been developed as a new and important approach to cancer therapy by stimulating the body's own immune system to kill cancer cells. This newly recognised method of cancer treatment is rapidly developing, and many approvals from the Food and Drug Administration of the United States and the European Medicines Agency will be accelerated in 2019. In particular, immune control point inhibitors have been remarkably successful in multiple malignancies and are the most established treatment class of immunooncology agents to date.

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 Keywords

Neoantigen, biomarker, cancer, Immuno-Oncology.

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