Volume 11 | Issue 12 |

 Abstract

The study looked at various Scientometrics parameters in brain tumor research from 2012 to 2021. The number of brain tumor research papers published each year is increasing, with a peak of 8347 (15.21%) published in 2021. The RGR of the article gradually decreased in the source type distribution of Brain Tumour research output, in which a maximum of 50128(91.34%) of research papers were published in Journals. On the other hand, the articles' doubling time gradually increased. The document-type distribution of brain tumor research output for the article accounts for 39158 (71.35%) of total publications, with the author contributing a maximum of 218 (14.23%) publications. Single authors contribute to the authorship pattern of 3090 research publications, and the average level of degree of collaboration is 0.94. The median CC is 0.72, the median CI is 4.60, and the median MCC is 4.60. According to the institution analysis, the majority of the articles are in the Harvard Medical School, with 1450 (15.89%) publications. The United States contributed the most articles, accounting for more than 17921 (35.81%) of the total publications. With 9095 citations, the most cited work is Louis, D.N., et al., (2016) The 2016 World Health Organisation Classification of Tumours of the Central Nervous System. Acta Neuropathologica, vol. 131(6), 803-820.

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 Keywords

Scientometrics, Bibliometric, Related Citation Index, Degree of collaboration, Collaborative index measure, RGR, and doubling time, Time series analysis, highly cited papers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The most important revenue for the country is taxes. It plays the crucial role for most of the country's economy in the world, therefore corporate companies are the cornerstone for India. This paper based on secondary data and examined top corporate tax payers from F.Y in 2022-2023 and past 4 years tax performance, Also the past 5 years revenue collected from corporate companies in India .

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

corporate tax, revenue, tax payers, tax collection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Composting is the biological degradation of protein, amino acid, lipids, carbohydrates, cellulose, and lignin through the presence of oxygen and an adequate supply of nutrients (N.P.K) for a microorganism that produces heat, CO2, H2O, NO3, SO4 as a byproduct of the exothermic reaction and having a final product of new cells generation and a stable soil-like substance called compost. New cells that are produced become part of the active biomass involved in the conversion of the organic matter, and when they die, they become part of the compost. This comprehensive look into the historical evolution of the composting process underlines the challenges in technology development and process modification. Market analysis and the challenges in developing nations cannot also be underestimated as they provide adequate motivation for functional industries and business expansion. The prospects and the demand for compost as the world moves toward sustainable development through greener activities that reduce the global footprint and environmental impact of agriculture activities and the lifestyle of the individual. As composting requires monitored stages, the necessary parameter and their challenges are further investigated and analyzed in this review.

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 Keywords

composting, environmental sustainability, degradation, food waste

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A virtual mouse is a software-based emulation of a physical mouse, designed to replicate its functionalities through alternative input methods. This abstract representation facilitates a range of applications, including accessibility enhancements for users with mobility impairments, remote desktop interactions, virtual machine management, and touchscreen device navigation. Embodying the core actions of a physical mouse, such as cursor movement, clicking, dragging, and scrolling, the virtual mouse serves as a versatile interface element in various computing environments. Its abstraction allows for flexible and adaptive control mechanisms, enabling users to interact with digital interfaces seamlessly and providing a fundamental tool for simulations, testing, and diverse forms of user interaction within the digital realm.

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 Keywords

Physical Mouse , Cursor Movement , Clicking , Dragging , User Interaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An investment is commitment of funds made in the expectation of some positive rate of return. Tax-saving is an important part of financial planning. It is an important concept as it helps in gaining deductions available from 80 C and other deductions. The present paper focuses on the role of PPF in generating profitable return as well as a tax saving avenue for the investors. This study confined to analyse the perception of salaried women towards PPF as a tax saving scheme in Thane District only. The study attempts to provide insight to the understanding of tax saving instrument that suits the needs and goals of salaried women, especially towards PPF account. The present study selects 100 respondents as sample by using random sampling technique. The convenient random sampling method was used for data design and Percentage Analysis were the statistical tools used. Most of the respondents are having the positive perception towards PPF as tax savings scheme for the purpose of more tax benefits. Government should encourage small saving schemes which helps to increase the Government fund and Government should use that fund for further investment. It leads to fund generation in the economy. This fund will be used for economic development of a country. Through this, over all development of a country is possible. It is concluded that Investors (Salaried Women) are interested or hope to achieve higher reward. So, they carefully plan, evaluate and allocate funds in various investment avenues, which offer safety of principal and continued return.

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 Keywords

Salaried women, PPF

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: More than 1/3rd of older adults fall each year and 10-20% of falls cause serious injuries. Vast majority of these falls (>99.9%) are unintentional. This research is focused to identify prevalence of the risk of fall among elderly and associated factors were assessed in the present study. We are going assess the risk of falls and associated factors among elderly. Methods: A descriptive study conducted in community area by Department of Nursing School of Health Sciences, RIMT University among people of age >60 years during August 2023. A sample size of 100 is obtained by standardized fall risk assessment tool in community setup for assessing incidence of fall risk among elderly people. Results: The majority of elderly people i.e. 41.0% had moderate concern, 33% had low concern and 26.0% had high concern of fall risk among elderly people. The result showed that 32% of the elderly people were in the age group of 60- 65 years, 30% were in the age group of 66-71 years, 24% were in the age group of 72-77 years and 14 % were in the age of above 78 years. Majority i.e.59 % were males and 41% were the female. Maximum i.e. 45% were 10th passed, 33% were 5th passed, 12% were the 8th passed and rest of 10% were the graduated or above. 36% were working part time job, 27% were the full time job, 34% were not working and 3% were on the temporary job. Majority of elderly people 47% lived in nuclear family, 35% lived in the joint family, 15% lived single and least of elderly people i.e. 3% living with care taker. Conclusions: From the findings, present study concluded that 41.0% elderly people had moderate concern of fall risk out of 100. There was no significant association of fall risk with gender, educational status, type of family. Moreover, there was a significant association of fall risk with age and work status at p-value<0.05.

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 Keywords

Elderly people, Risk of fall, Fall risk assessment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As we all know that to keep this mother earth alive, it is necessary to maintain a pollution free environment so as to keep the nature sustained followed by the other living beings which help us indirectly in various aspects like farming, milk, etc. Total 1,00,000 living beings including trees, animals, etc get infected through wide spread of diseases every year out of which some of them survive whereas the remaining ones die. There have been several reports and analysis of the real life data which was stored by capturing various real life events in the form of records, tables, models, images, etc. With the help of technology and devices, it has become quite easy to store and retrieve such large amount of data for various purposes like education, development, etc. The following project analyzes the data of trees and identifies the condition of them using CNN algorithm which is nothing but a deep learning algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

plant disease identification, datasets, cnn working, prototype, advantages, disadvantages, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

People from various psychological and cultural backgrounds began communicating more directly with one another as social networks and microblogging websites grew quickly. This led to an increase in "cyber" conflicts between these individuals. As a result, hate speech is used more and more, to the point where it is starting to seriously affect these public areas. The term "hate speech" describes the use of harsh, violent, or offensive language directed towards a particular group of people who have something in common, such as their gender (sexism), race or ethnicity (racism), belief and religion, etc. Although the majority of online social networks and microblogging platforms prohibit the use of hate speech, dur to their massive scale, it is nearly impossible to master all of their material. As a result, it becomes necessary to automatically gathered from the foundation of the methodology. A machine learning algorithm is later trained using these patterns and unigrams among other features. Our tests on a test set of 2,010- tweets demonstrate that our method achieves an accuracy of 87.4 classification and 78.4 classification respectively.

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 Keywords

- Hate speech recognition, machine learning, Classification, NLP, Sentiment Analysis, Deep Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An image can be defined as a matrix of square pixels arranged in rows and columns. Image processing is a leading technology which enhances raw images received from gadgets such as camera or a mobile phone in normal day-to-day life for various applications. An image to text and speech conversion system can be useful for blind as well as physically challenging people to understand the scenario from the images. Core idea for image to text and speech conversion is to overcome the challenges faced by a blind person in real life. The techniques of image segmentation and edge detection play an important role in implementing this system. We formulate the interaction between image segmentation and object recognition in the framework of Canny algorithm. The system goes through various phases such as pre-processing, feature extraction, object recognition, edge detection, image segmentation and text-tospeech (TTS) conversion. The database of this system consists of huge set of sample images which help to identify similar kind of objects in every different image. The system mainly consists of two main modules such as image-to-text and text-to-speech. An image-to-text module generates text descriptions in natural language based on understanding of image while text-to-speech module converts natural language into speech synthesis.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

image-to-text, text-to-speech, image segmentation, edge detection, Canny algorithm,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

bhartiya kala ka aadhunik parivesh aure smaj

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Creative Commons Attribution 4.0 and The Open Definition

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bhartiya kala ka aadhunik parivesh aure smaj

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Creative Commons Attribution 4.0 and The Open Definition