Volume 10 | Issue 3 |

 Abstract

Data is one of the most powerful and influential forces of our day. Data is important in practically every industry, from journalism to business to medical to politics. Predictive analysis has evolved from what was originally known as business intelligence. While business intelligence and predictive analytics both use similar concepts, business intelligence focuses on the past, and predictive analysis, as the name implies, focuses on the future. To make the marketing process more efficient, web scraping and predictive analytics can be combined. This can be accomplished through the use of a variety of techniques, such as business intelligence. Primary goal will be to make money for any business. In this paper, we'll look at how to use web scraping and predictive analytics to promote business products. Integrating the two processes is extremely advantageous to the company. Web scraping is utilized to collect data and predictive analytics is used to determine the most effective marketing approaches.

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Creative Commons Attribution 4.0 and The Open Definition

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Data scraping, predictive analysis, business intelligence

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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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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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Affordable, Rental housing, Migrant population

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Creative Commons Attribution 4.0 and The Open Definition

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Food, clothing, and education are the three most fundamental and vital items for humans. These three must be the most basic needs of humanity, which must be met as soon as possible. Although, in today's society, we see many people who cannot afford or take advantage of these fundamental necessities for survival. On the other side, we witness many rich and educated people waste a significant quantity of things such as food, clothing, and literature. Our approach provides a positive solution to this dilemma. The main goal of the application is to bring together people who have extra assets and liabilities and are eager to give back to the community. people who are needy and ready to accept. Our application allows users to contribute food, clothing, and books for free, and other users to freely collect the donations when they are needed. Our application's key feature is that it connects users who have accepted a donation with those who have put that same donation up for consideration.

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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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In this paper, we studied about the salivary glands and its classifications.

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Creative Commons Attribution 4.0 and The Open Definition

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Salivary Glands, Aspiration Cytology, FNAC

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ye

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Creative Commons Attribution 4.0 and The Open Definition

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Commerce

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Creative Commons Attribution 4.0 and The Open Definition

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Down Syndrome is the most common generic cause for intellectual disability. This paper reviews different medical issues faced by individuals with Down Syndrome and goals for improvement. Based on the goals a study is conducted to review functionality and how Bharatanatyam can help improve. There have been vast improvements in managing medical conditions with Dance leading to high rate of survival. These improvements impact on quality of life for individuals with Down Syndrome. Study of how Bharatanatyam can provide benefits to individuals with Down Syndrome is covered in this paper.

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Creative Commons Attribution 4.0 and The Open Definition

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Down Syndrome, Bharatanatyam

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Creative Commons Attribution 4.0 and The Open Definition

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The aim of this paper is to introduce and study a new class of sets called etag-closed sets and a new class of spaces called etanormal spaces. The relationships among beeta*g-normal, alpha-normal, s-normal and eta-normal spaces are investigated. Moreover, we introduce the concept of eta-generalized closed functions. We also obtain some characterizations and preservation theorems of eta-normal spaces, in the forms of generalized eta-closed and eta-generalized closed functions.

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Creative Commons Attribution 4.0 and The Open Definition

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eta-open, geta-closed, and etag-closed sets; eta-normal spaces; eta-closed and eta-etag-closed functions

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Bread Wheat (Triticum aestivum L.) is an annual cereal crops belonging to the family Poaceae Sixteen bread wheat varieties (8 of them farmers varieties and 8 of them improved varieties) were tested to compare yield performance, genetic variability, association among the traits on the grain yield. The genotypes were grown in Randomized complete block design at Goro and Agarfa community seed bank in 2017/18. Analysis of variance revealed that there were highly significant differences among the genotypes for most of the traits at individual and across locations. From the combined analysis of variance, significant (p?0.05) effect due to location, varieties and G�E was observed for most of the traits. The varieties showed wider variability in mean grain yield of 666.67--4000 kg ha-1, 1333.33--8333.33 kg ha-1 and 666.67 � 8333.33 at Goro, Agarfa and across location, respectively. PCV was higher than the genotypic coefficients of variation (GCV) in most of the traits. At Agarfa GCV ranged from 0.34% (aboveground biomass) to 689% (kernel number per spike), whereas PCV ranged from 0.4% (days to tillering) to 790% (kernel number per spike).At Goro GCV ranged from 2.23% (kernel number per spike) to 29.9% (grain yield), whereas PCV ranged from 2.6% (kernel number per spike) to 36.2% (grain yield). Phenotypic coefficient of variability ranged from 11.54% (day to emergence) to 70.28% (grain yield). Genotypic coefficient of variability ranged from 7.4% (days to emergence) to 46.13% (plant height).Highest heritability estimates were recorded (>80%) for the characters; days to heading (89.8%) and spikes length (82.9%),kernel per spike (87.2%),1000 seed weight(83.8%) and harvest index(348.9%) at Agarfa and plant height(95.7%), and spikes length (91.1%),at Goro. Similarly, the result from combined analysis indicated that Phenotypic coefficient of variability ranged from 11.54% (day to emergence) to 70.28% (grain yield). Genotypic coefficient t of variability ranged from 7.4% (days to emergence) to 46.13% (plant height). The expected genetic advance as the percent of means expressed as a percentage of the mean ranged from 0.72% for above ground biomass to 264.8% for 1000 kernel weight at Agarfa and at Goro the expected genetic advance expressed as a percentage of the mean ranged from 0.95% for spike length to 49.14% for grain yield. Grain yield showed significant (p?0.01) positive phenotypic correlations with thousand kernels weight, above ground biomass, harvest index and plant height at each location. Similarly, significant (p?0.01) positive and negative phenotypic and genotypic correlations between the yield components were observed at each location. The highest grain yield was recorded in Bokate variety (80.01kunt/hect and the lowest grain yield was recorded in Ayuba variety (16.67kunt/hect) from farmers varieties, while Hidase variety (61.67 kunt/hect) and Ejerso variety (35.01 kunt/hect) the highest and lowest grain yield from improved varieties at Agarfa location. In Goro the highest grain yield was recorded in Tikur goshmber variety (33.34kunt/hect and the lowest grain yield was recorded in Tate variety (11.67kunt/hect) from farmer�s varieties, while Kekeba variety (39.01kunt/hect) and Digalu variety (10.01 kunt/hect) the highest and lowest grain yield from improved varieties. Generally, it has been observed the presence of variability among the genotypes, heritability and relationships in the tested traits of the genotypes studied. Hence, Selection and hybridization on farmers and released varieties based on the trait with high GCV, heritability, genetic advance, positive correlation coefficient and high grain yield can be recommended for farther yield improvement of bread wheat at respective location.

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Key words: Heritability, Genetic Advance, correlation, Grain yield, farmers� varieties, improved varieties

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Creative Commons Attribution 4.0 and The Open Definition

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A descriptive study to assess the prevalence of nomophobia and knowledge and effect of using smartphone among college students in Mandi Gobindgarh, Punjab, with a View to develop an information booklet was conducted with the objectives: To assess the prevalence of nomophobia among college students, to assess the knowledge level regarding smartphone use among college students, to assess effect of using smartphones among college students, to find the association between level of Nomophobia among college students with their selected demographic variables, to find the association between level of knowledge regarding smartphone among college students with their selected demographic variables, to find out the correlation between level of nomophobia and effect of using mobile phone among college students, to find out the correlation between level of knowledge and effect of using mobile phone among college students.

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A DESCRIPTIVE STUDY TO ASSESS THE PREVALENCE OF NOMOPHOBIA AND KNOWLEDGE AND EFFECT OF USING SMARTPHONE AMONG COLLEGE STUDENTS OF DESH BHAGAT UNIVERSITY MANDI GOBINDGARH, FATEHGARH SAHIB, PUNJAB WITH A VIEW TO DEVELOP AN INFORMATION BOOKLET

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Creative Commons Attribution 4.0 and The Open Definition