Volume 10 | Issue 12 |

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Creative Commons Attribution 4.0 and The Open Definition

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Butterfly Diversity, Harkul-khurd village, Species Composition, Sindhudurg District, Sustainable Development, Western Ghats, Wetland.

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Creative Commons Attribution 4.0 and The Open Definition

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Higher education is integral to fostering the personal and welfare of society and creating as stated in its Constitution, India is to be a democratic, socially responsible, culturally advanced, and compassionate nation that upholds sovereignty, equality, brotherhood, and justice for all. More and more young Indians will pursue higher education as their country moves closer to becoming a knowledge economy and culture. After a 34-year hiatus, the nation has received another National Education Policy (NEP-2020) that takes into account neo-normative viewpoints, the demands of 21st-century society, and the new millennium milieu. The Union Cabinet of India passed the National Policy on Education 2020 on July 29, 2020. lays out the objectives of the country's future educational system and also provides a framework for elementary, secondary, postsecondary, and occupational training and education across urban and rural settings. The long-term goal of this approach was to bring transformational reforms to India's existing educational system, but the road to implementation is littered with potholes. This article attempts to review the concerning higher education and lay forth the benefits and drawbacks of its implementation

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Creative Commons Attribution 4.0 and The Open Definition

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Impact of NEP on Higher Education, Opportunities and Difficulties in NEP Implementation, National Education Policy 2020, and Higher Education

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: A primary goal of this study is to manufacture and assess an herbal shampoo and identify its physiochemical function, with an emphasis on the product's safety, efficacy, and quality. Herbal shampoo is a natural product. The most popular hair treatment is shampoo. Shampoo is essentially a product used to remove dirt, dandruff, and other impurities from the hair. It also works to strengthen, darken, and encourage hair growth. Shampoo is a liquid, cream, or cream-based soap or detergent mixture used to wash hair. One cosmetic item that people use on a regular basis to care for and enhance their hair is shampoo. The majority of shampoo's ingredients are chemical, and as a result, they have come under intense criticism for the possibility that using them could have negative side effects like hair loss, increased scaling and itching, discomfort, nausea, and headaches. Hibiscus rosa-sinensis (hibiscus), Embolic officinalis (amla), Acacia concinna (shikakai), Sapindus indica (soapnut), Cassia auriculata (cassia), Eclipta prostrata (bhringraj), and Aloe barbadensis are the herbal extracts employed in the composition (Aloe vera). It gives the hair softness, smoothness, and lustre. Consequently, an effort is made to create herbal shampoo that has no negative effects.

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Creative Commons Attribution 4.0 and The Open Definition

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: Herbal Shampoo, Natural and Healthy, Eclipta Prostrata,Sapindus Indica, Evaluation of Shampoo

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Education, Homeless, Street Children, and social reintegration.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Butea monosperma, UV-visible spectroscopy, Fourier-transform infrared (FTIR) spectroscopy and Scanning Electron Microscopy (SEM),Silver nanoparticles, Anticancer activities, MCF 7 human breast cancer cell line,MTT assay.

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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

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Marital preparedness, Age, Gender, Young Adults

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Creative Commons Attribution 4.0 and The Open Definition

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The process of categorising facial photos or videos into specified age groups is known as age group classification. Due of its many applications, including in recruitment, security, health, and social robots with intelligence, it is a crucial task. Recently, Convolutional Neural Network (CNN) has demonstrated exceptional performance in interpreting photos and videos of human faces. This study suggested an All-Age Face (AAF) dataset-trained and evaluated age group classification task using CNN. In this study, a 128-d embedding that quantifies the face of the age group was computed using the FaceNet deep learning model, which makes use of CNN. Adolescence and Mature Adulthood were the two age ranges represented in the experiment. For the training photos, the proposed age group classification model had an accuracy of 84.90%, and for the test images, it had an accuracy of 85.12%. The experimental findings demonstrated that CNN can, even with an imbalanced data distribution, achieve competitive classification accuracy across two age groups in the AAF dataset.

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Creative Commons Attribution 4.0 and The Open Definition

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Convolutional Neural Network (CNN), imbalanced Data, All-Age-Face Dataset, Deembedding

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Creative Commons Attribution 4.0 and The Open Definition

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In order to predict rating value, a variety of supervised and unsupervised machine learning models are used to a dataset of Amazon product reviews in the following article. A "star" rating on a scale of 1 to 5 is the intended response to the input of a text review. This project might be characterised as a regression variation of sentiment analysis because we want to construct a continuum of sentiment rather than just polarity. Our objective is to create the most adaptable and precise model that can manage the broadest range of conflicting and polarising opinions presented in reviews .In addition to experimenting with various model types, we looked at the effects of seven distinct embeddings, each of which had unique built-in considerations for information like word index, directional significance, context, and frequency. These embeddings included simpler encoding alternatives like Bag of Words and TF-IDF, as well as pre-trained word embedding models like Naive Bayes and LSTM and embedding schemes generated from scratch. We trained three distinct deep learning networks that were more effective as well as supervised boosting models from Light GBM and CatBoost.

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Creative Commons Attribution 4.0 and The Open Definition

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Naive Bayes,CatBoost,LSTM,Bag of Words, Unsupervised Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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The movies in this recommendation are chosen using a content-based recommendation system. We have a dataset of the movies in the project. There are director, keyword, genres, cast, etc. in that dataset. A content-based recommendation engine will consider how much the user enjoyed the film. The next step is to analyse the input movie's content (a dataset), including its genres, director, keywords, and cast, to identify additional films with comparable results. It then evaluates comparable films according to its similarity score and suggests the film to consumers.

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Creative Commons Attribution 4.0 and The Open Definition

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Movie Recommendation, Similarity Score, Movies Dataset, Content-Based Search

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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