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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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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 Keywords

corporate tax, revenue, tax payers, tax collection

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 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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composting, environmental sustainability, degradation, food waste

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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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 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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Salaried women, PPF

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 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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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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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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 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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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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bhartiya kala ka aadhunik parivesh aure smaj

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Abstract: This research paper delves into the intricate language experiences encountered by migrant populations, emphasizing the multifaceted challenges of language barriers, adaptive strategies, and the preservation of heritage languages. As globalization continues to facilitate increased migration, the linguistic dynamics within migrant communities become pivotal aspects of their integration and cultural identity. The primary focus lies in dissecting the obstacles presented by language barriers that hinder effective communication and societal participation. This investigation encompasses an exploration of the psychological and socio-cultural impacts of such barriers on migrants, examining the struggles they face in accessing education, employment, healthcare, and social integration due to linguistic disparities. Furthermore, the study investigates adaptive mechanisms employed by migrant populations to navigate these linguistic challenges. It delves into the strategies individuals and communities adopt to learn the dominant language of the host country, analysing factors such as language learning methods, acculturation processes, and the role of social networks in facilitating linguistic adaptation. A crucial aspect of this research involves examining the preservation and maintenance of heritage languages among migrant communities. It scrutinizes the significance of heritage languages as a means of cultural preservation and identity maintenance, exploring the factors influencing language retention, language shift, and the intergenerational transmission of languages within migrant families. Employing a mixed-methods approach encompassing qualitative interviews, surveys, and linguistic analysis, this study aims to provide a comprehensive understanding of the intricate linguistic experiences of migrant populations. The findings aim to shed light on effective policies and interventions that can support language diversity, facilitate smoother integration, and foster inclusive societies for migrant communities in diverse socio-cultural contexts.

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Language experiences, Heritage languages, Migrant population, cultural preservation, significance of heritage language, identity maintenance

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: "Illegal Migrants" the term is used as a code to mean 'Bangladeshi' in Assam and the words are used interchangeably. The influx of illegal migrants from Bangladesh into Assam is so high that changes demographic pattern of the State, which threatens to reduce the Assamese people to a minority in our own State, as happened in Tripura and Sikkim. Illegal migration from Bangladesh into Assam should be viewed against the backdrop of past history, present realities and future designs. Migration into Assam has been taking place from the dawn of history. Numbers of causes are there which are responsible for the migration of Assam. In this paper an attempt has been made to examine various aspects of illegal migration into Assam from various countries especially from Bangladesh. In this study we find that mainly environmental crisis caused by population pressure in Bangladesh and relatively greater economic opportunities in terms of higher lifetime income, acquisition of land and assets in Assam, have been the primary motivations behind large scale migration. There are some beneficial effects, such as the immigrants have contributed to the rise of agricultural productivity by introducing better techniques, crop diversity, and multiple cropping and also the immigrants causes the supply of cheap labor in the informal labor market have benefitted the consumers and producers alike. However, they have put tremendous pressure on land, creating socio-political and environmental problems that have indirect adverse effects on the economy. Finally, the immigrants hardly contribute to the government revenue while the government spends a substantial amount to maintain this significantly large fraction of the population.

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 Keywords

Key words- Illegal Migrants, Influx, Environment, Immigrants, Socio-political

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 Abstract

The Indian textile industry stands out on a global scale due to its abundant raw material resources and extensive manufacturing capabilities. Apart from being a cornerstone of the economy, the textile sector, in conjunction with other major industries, makes noteworthy contributions. Notably, the exports of textiles and apparel alone constitute approximately 27% of the nation's total foreign exchange earnings. This study focuses on the socio-economic status of textile employees with the overarching objectives of identifying measures to improve health and productivity, ultimately contributing to increased job satisfaction. The research emphasizes the critical need for proactive interventions to enhance the overall well-being of workers in the textile industry. The findings highlight the significance of adopting a holistic approach that addresses both physical and mental health aspects. Key measures include the implementation of wellness programs, ergonomic improvements, and health education initiatives, which emerged as crucial factors in fostering a healthier work environment. Prioritizing employee health not only leads to a reduction in absenteeism and healthcare costs but also contributes to cultivating a positive organizational culture.

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Manufacturing, Industries, Health, Productivity, Measures.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cyperus rotundus Linn belong to the family cyperaceae.It is the world Worst weed native to India.It grow in small clump up to 100cm high.It has wide range of medicinal and pharmacological application. According to Ayurveda C.rotundus rhizome are considered astringent,diaphoretic, analgesic,aromatic, antispasmodic, carminatives, antibacterial, antimalarial,antioxidant,antiplatelet, Hepatoprotective, diuretic.Many previous studies showed Cyperus rotundus contained Flavonoids, tannins, glycoside,furochromones,alkaloids, saponins,monoterpenes, terpenoids, essential oils,starch, carbohydrate, proteins,separated amino acid and many other secondary metabolite.This review was designed to high light the chemical constituents and pharmacological effect of rotundus. This paper provide review on medicinal and various pharmacological properties of C.rotundus rhizome. Since time immemorial, human have identified several herbs to treat various ailments. With the advancement of science and state-of the-art technologies, different herbal extract and chemical constituents of herb identified a therapeutic target. Cyperus rotundus,also called Mustafa, Is one of the most ancient herbs widely distributed in tropical and subtropical regions across the globes.The tuberose and aerial part of the herb were identified possess various pharmacological properties. The nut-grass in an erect, perennial glamorous herb 10-75cm long, distributed throughout the plant if India, as a weed in waste lands, gardens and roadsides and sea level 1,800cm elevation.Musta is composed of various chemical constituents mainly cyperene-1, cyperene-2,Beta-selinine,cyperenone,Alpha-cyperone, Rotudome etc.

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Cyperus linn, nut-grass, mustafa,ancient,etc.

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A pattern of industry development with cumulative increase year over year is necessary for any developing nation. Governments attempt to construct industries for the nation's development, but this takes a lot of initiative and work, which calls for an entrepreneurial mindset. Indian conditions are ideal for start-ups due to a number of variables, including the country's large consumer market and significant industry development potential. The Indian start-up industry has demonstrated a significant impact on the nation's economic growth in recent years, and this contribution to the Indian economy is still present today. The Indian economy is growing, and the government is aiming for a 3 trillion dollar economy in the near future, but what about the financial stability of startups following the COVID-19 pandemic? Is it still promising, and does it have any impact? The start-ups financial health before and after COVID 19 is the main focus of this research. The objective of research is to determine the state of currently operating start-ups and the beginning of new projects . For in-depth investigation of the aforementioned goals, the exploratory research method is employed.

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Start-ups, COVID 19, GDP, job opportunity, market growth , NNI

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Abstract: Water is an essential resource for human survival. With the increase of water consumption, water quality is facing severe challenges. Industrialization, agricultural production, and urban life have resulted in the degradation and pollution of the environment, adversely affecting the water bodies necessary for life, ultimately affecting human health and sustainable social development. Globally, an estimated 80% of industrial and municipal wastewater is discharged into the environment without any prior treatment, with adverse effects on human health and ecosystems. This proportion is higher in the least developed countries, where sanitation and wastewater treatment facilities are severely lacking.

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Industrialization, agricultural, pollution, environment, wastewater treatment

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 Abstract

Nigerians are known to contribute greatly across various disciplines and continents in the globe with prominent contributions in the provision of skilled healthcare services in the United Kingdom and United States of America. Despite this exploit abroad, the medical industry in Nigeria which was at the transition stage is currently becoming comatose and therefore needs immediate transformation to meet up with the rising population who struggle to access quality healthcare services in the nation. This review provides pertinent information on medical industrialization with emphasis on the successes made, challenges encountered, and solutions needed to improve various specialties in nephrology, cardiology and surgery in the area of renal replacement therapy, open heart surgery, organ transplant, myomectomy, hip and knee replacement and plastic surgery in Nigeria. A review of several articles was done, and findings articulated into major thematic areas. The review showed various successes which include successful conduct of renal transplant in St. Nicholas Hospital, Lagos in 2000 with several government and private renal centres springing up, successful conduct of open heart surgery as far back as 1974 in University of Nigeria Teaching Hospital Enugu with new centres also springing up, routine and successful conduct of myomectomy for fibroid in several teaching hospitals and private health centres across the nation. The challenges encountered include the ongoing brain drain, high cost and lack of some modern medicine for management of transplants, lack of state of art medical equipment, high cost of treatment and care for most Nigerians with diverse conditions and a preference for medical care and treatment abroad by the elites. There is urgent need for government to partner with private individuals including the diaspora community and foreign nationals who are willing to invest into healthcare in Nigeria to scale up efforts needed for medical industrialization in the country. The government need to take proactive measures to convert brain drain to brain gain through appropriate policies, stakeholder engagement, incentives and strong marketing of the successes made in the country which is aimed to promote local contents in the country. A strong political will expressed as government adequate investment into health and subsidy of these procedures for indigent Nigerians will help to bring about the desired medical industrialization in the country.

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 Keywords

Medical Industrialization, Government, Private Sector, Medical Equipment, Brain Drain, Brain Gain, Diaspora

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The contaminated soil with heavy metals has become concern for agricultural scientists because of the progress made in agricultural product safety. Heavy metals are metalloids with the biological toxicity. The most common are arsenic, cadmium, chromium, copper, mercury, lead and zinc. These metals exist throughout the terrestrial environment and produced from the anthropogenic and natural activities. Recently, landfills have been reported as persecutor to soil contamination, but still, there is not promising way proposed for the waste disposal management in some developing countries. This is a biggest threat to the soil, crops, and the communities living around the dumpsites. Soil polluted with heavy metals result in the human health risks, groundwater pollution, plant phytotoxicity and decline in crop and soil production. The absorption of heavy metals through plant roots is major pathway in which heavy metals penetrate the food chain and their successive crowding along the food chain is a critical threat to the animal and human health. The previous findings reported that soil, vegetables, and other food crops around dumpsites are contaminated with the heavy metals. Therefore, there is an urgent need for continuous monitoring of the heavy metals in different open dumpsites. The necessary measures to reduce the high concentration of the heavy metals in the soil and crops should be put in place. This paper aimed to review harmful impacts of heavy metals contamination to soil and crops grown in vicinity of the dumpsites, but also several techniques treating heavy metals pollution in the soil were discussed in this review.

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Heavy Metals, Soil contamination, Disposal site

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Creative Commons Attribution 4.0 and The Open Definition

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Microwave synthesis is a branch of green chemistry. Microwave synthesis has gaind much attention in recent years. The applications of microwave irradiation are used for carrying out chemical transformations, which are pollution free, eco-friendly, low cost and offer high yields together with simplicity in processing and handling. Some new schiff base metal complexes of Co(II), Ni(II) and Cu(II) derived from 2 Acetyl naphthalene with 2-amino phenol (ANAP) and 2-aminothiazole (ANAT) have been synthesized and characterized by various physicochemical methods viz. micro-analytical data, UV-VIS, FT-IR, ESR Spectroscopy molar conductance and magnetic susceptibility measurements. The complexes are colored and stable in air.

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 Keywords

Microwave Synthesis, IR, UV-Vis, ESR and Acoustical studies.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the discipline of Natural Language Processing (NLP), sentiment analysis is an essential task that involves evaluating and analysing user opinion data on a given subject. Many deep learning models, including the recently announced Bidirectional Encoder Representations from Transformers (BERT) model, have been created to tacklethis difficulty. For the sentiment analysis task, we use datasets of Vietnamese reviews to test two BERT fine-tuning strategies in this study: Two methods are available: 1) one that feeds the [CLS] token alone into an associated feed-forward neural network; 2) another that uses all BERT output vectors as the input for classification. Experimental results on two datasets show that models utilising BERT perform models utilising Glove and Fast Text by a small margin

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Creative Commons Attribution 4.0 and The Open Definition

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Sentiment Analysis, Deep Learning, Pre-trained Language Model, BERT.

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Creative Commons Attribution 4.0 and The Open Definition