Volume 10 | Issue 12

 Abstract

Actually norms can be regarded as generalization of the absolute value function of numbers.In this paper we discuss about the characterization of M-matrices and H-matrices,With positive diagonal elements.Also we explain about the different types of norms of matrices and relation between the matrix norms and spectral radius.The analysis of matrix based algorithms often requires use of matrix norms.These algorithms needs a way to quantify the size of matrix.It is our interesting fact to see how this study culverted the properties of matrix norms specialy H-matrix and M-matrix which gives a new concept on linear algebra.In this ellustrative article we demonstrate why one would want to study different type of matrix norms.

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 Keywords

H-matrix,M-matrix,notation of norm,spectral radius,matrix norms computation,Conditioning number,Frobenius norm,Submultiplicative norms.

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Liquidity Ratio, Solvency Ratio, Profit and Loss Account Ratio and Balance Sheet Ratio.

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Aluminum alloy, Gravity dies casting, Degasification, Pouring temperature, Humidity

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KEYWORDS: Packaging, convenience, tampering, counterfeiting, drug regimens, etc.

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 Abstract

Elora ki pratimao me bahuparivartinshil drushtikon

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Elora ki pratimao me bahuparivartinshil drushtikon

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Vartman krishi me ekikrut krishi pranali: aavshaykata ev mahatav

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Vartman krishi me ekikrut krishi pranali: aavshaykata ev mahatav

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Breast cancer is a type of tumour that occurs in the tissues of the breast. It is most common type of cancer found in women around the world and it is among the leading causes of deaths in women. This work presents the comparative analysis of machine learning, deep learning and data mining techniques being used for the prediction of breast cancer. Two algorithm KMEANS, PCA (Principal Component Analysis) which predict the breast cancer outcome have been compared in the paper using Kaggle machine learning repository dataset. The datasets consist 598 rows and 30 columns. All experiments are executed within a simulation environment and conducted in R studio platform. Many researchers have put their efforts on breast cancer diagnoses and prognoses, every technique has different accuracy rate and it varies for different situations, tools and datasets being used. Our main focus is to comparatively analyse different existing Machine Learning (ML) and Data Mining (DM) techniques in order to find out the most appropriate method that will support the large dataset with good accuracy of prediction. The main purpose of this research is to highlight all the previous studies of machine learning algorithms that are being used for breast cancer prediction and this project provides the all-necessary information to the beginners who want to analyse the machine learning.

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Breast Cancer, Machine Learning, Classification, Prediction, Comparative, Performance Evaluation.

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In India, diabetes affects approximately 30 million people around the world, and many more are at risk. In order to prevent diabetes and the health issues it is associated with, timely diagnosis and treatment is essential. This study tries to evaluate a person's risk of developing diabetes depends on their lifestyles and family history. In 2021, there are 7 million people died, according to the International Diabetes Federation (IDF). Through a change in lifestyle, nutrition, or medicine, early identification of patients with a high chance of developing T2D can lower the incidence of the illness. The diabetes dataset from the UCI machine learning repository is used in this analysis. C50 and GLM algorithms are used to do binary classification, and performance measures are used to assess the efficiency.

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Binary Classification, Comparison, Diabetes, Machine Learning, Supervised Learning

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???? ????????????? ??????????????? ???????????? ????????? ????????? ??????????????? ?????. ??????????????? ???? ???????? ?????? ?????? ???? ???????? ?????????????? ??????? ?????????????? ??????????? ????????????? ???????????? ???????????????

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????, ????, ???

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A study of the life and contributions of great masters of Carnatic music is very informative. The following article discusses brief biography of Ariyakkudi Ramanuja Iyengar and unique features Ariyakkudi bani. Ariyakudi is a great maestro noted for his distinct way of singing. His alapanas were short and crisp, and they revealed the essence of raga bhava. Modernizing the concert format may be considered as the greatest contribution of AriyakkudiRamanuja Iyengar

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Ariyakkudi, Ariyakkudi Ramanuja Iyengar, Ariyakkudi bani, Concert format

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This paper presents a prototype of digital safety helmet equipped with environmental sensors and voltage sensor that helps to measure environmental conditions and display it real time on the display attached within the helmet. This gives workers real time information about the any environmental situation they are in. This will not only improve the safety of the workers but also helps to improve work ethics thereby improving overall productivity.

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Helmet, Sensors.

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In this article, a new algorithm for searching Mann-Whitney minimum spanning tree in a critical path network having fermeatean pentagonal fuzzy soft edge length is presented. The proposed algorithm is based on matrix approach to design un-directed fermeatean fuzzy weighted connected graph. Also, we provide numerical example to check the validity of the proposed algorithm using score function and accuracy function.

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fuzzy set,fuzzy number, validity, defuzzification, fermeatean fuzzy soft set, minimal spanning tree, pentagonal matrix, connected graph, algorithm, score function, accuracy function.

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Creative Commons Attribution 4.0 and The Open Definition

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Myocardial Infarction, Electrocardiogram, Internet of Things

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Humans are modifying the environment in the name of development. Development which started with making of tools and stabilized agriculture gave way to industrialization and automobolisation. With the help of scientific and technological development man has achieved new dimensions and has enhanced his quality of life by adding several facilities and amenities. The automobiles are considered as one of the major causes which contribute much to the air pollution. According to the study carried out by the Pollution Control Board Ludhiana in 2009, there were more than 7 lakhs of vehicles within the city and till date they have increased many folds. The main constituent of the emissions of the vehicles are carbon mono-oxide, sulphur dioxide, hydro carbons, lead salts etc. Growing industrialization and automobolisation has rendered the whole atmosphere polluted and its impact is very dangerous not only for man but also to the environment itself. About half of the vehicular air pollution is due to increased number of the auto-rickshaws. In the city 83% of auto-rickshaws are diesel driven which is the cause of spread of unburnt hydro carbons. Effects of air pollution are the most prominent in causing pulmonary diseases, continued exposure to sub-lethal concentration leads to physiological effects. The fine particles in particular those with the fibrous structure e.g. asbestos might cause lung impairment.

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Environment, Air pollution, industrialization and Automobilization

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Nowadays the customer segmentation became a very popular method. The method of breaking up consumers into smaller groups is known as customer segmentation, often referred to as market segmentation. This makes it simpler to tailor your messaging to the demands of your audience. Behavioural customer segmentation is The process of separating customers into groups based on any of the following qualities is known as behavioural segmentation. {Utilization, fidelity, mindfulness, occasions, education, and purchase intentions}. Customers are identified using a computer technique called the k-means clustering algorithm based on their behavioural characteristics. Developed clusters assist the business in identifying certain clients and selling its content to them through social websites with media in which they are genuinely interested. different clustering algorithms (k-Means, Agglomerative, and Mean shift) are been implemented to segment the customers and finally compare the results of clusters obtained from the algorithms.

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Oral fast dissolving films are an advanced technique that has a quick onset of action and improves patient compliance. Many patients, particularly pediatric and geriatric patients, have difficulties swallowing tablets and hard gelatin capsules and do not take their medications as prescribed. Approximately 35% of the general population suffers from swallowing difficulties or dysphasia. It enhances the efficacy of APIs and promotes medication use. These formulations are effective for colds, allergic rhinitis, asthma attacks, and CNS problems that require rapid onset of action for faster relief. The sublingual path of drug administration is very effective because the drug is absorbed through the sublingual blood vessels without passing through the hepatic first pass metabolism, resulting in improved bioavailability. The current article provides a summary of the formulation aspects, manufacturing methods such as solvent casting, assessment parameters, and sublingual uses of fast dissolving films.

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: Fast dissolving sublingual film, disintegration time, film-casting, oral films, the onset of action.

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Consumer society is an unquestionably complex social construct. Although after decades of continual dominance, there are signs emerging that it is starting to falter, both as a durable and rational system of social organization and as a strategy for societal advancement. This article reviews the growth of the consumer-oriented society along the social change. Bringing together leading theories on social change, the article identifies and analyzes the change that have occurred in the contemporary society.

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Social Change, Consumption, Consumer, Malls, Society.

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 Abstract

QUEST FOR FEMALE IDENTITY IN MARILYNNE ROBINSON’S NOVEL HOUSEKEEPING

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Identity, Housekeeping, Self-discovery, Freedom, Subjectivity, Norms

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IOT, Nutrients.

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