Volume 10 | Issue 12

 Abstract

The sex ratio is the vital standard for the population and it is register for the socio-economic and physical factor of the area. Socio-economic status is important for estimating sex ratio of a geographical area and it is useful for the local and regional analysis. There is a large variation in the sex ratio in Maharashtra as district wise. The present study has considered 9 tehsil and 8 towns from Parbhani district during 1991 to 2011. The aim of the study is to determine sex ratio with spatial temporal variation of Parbhani district, data is collected from the census report of Government of India from 1991 to 2011and the type of data which has been used is secondary data. The sex ratio of urban area of the district is 924 in 1991, 926 in 2001, and 958 in 2011 per thousand males respectively. A trend indicates the change in the sex ratio from 1901 to 2011and also shows us the decadal variation in the sex ratio. Decadal female sex ratio from 1901 to 2011 shows us gradual increasing and decreasing order. The decadal sex ratio variation of the town and city from 1981 to 2011 also provides the data which shows increasing and decreasing order. There is gradual increase in sex ratio trends in tehsil and towns of Parbhani district from 1981 to 2011 and after wards increasing trends has been recorded. The data of sex ratio has been related with the Maharashtra and India.

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Urban, Sex Ratio, Female, Male, Trends of Sex Ratio, Variation, Parbhani

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Brandimage is the key factor in consumer purchase of a product. Because branded product provides them satisfaction to their mind, status, specified quality and long lasting. The presentstudy analysis the Effect of Brand Image on Consumer Preference with Reference to Youth in Villupuram. Simple random sampling method was used to collect data from a sample size of 50 consumers belonging to different categories. A well-structured questionnaire, developed in Liker scale was administered among the selected consumers. Statistical Packagefor the Social Science (SPSS) was used for conducting various parametric tests such as Frequency analysis, Cross Table analysis and one way Enova test for data analysis andinterpretation. Secondary data was collected from books, journals, and website. With regard to the frequency of buying the branded products, 52.8% of the respondents buy the branded product only when quality is important as against 21.8% who always buys the branded products. With regard to the use of branded and unbranded products, 35.8% of the respondents have an equal proportion of 50:50.

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Active Teaching Strategies, Cognitive Activation Strategies, Teacher Directed Strategies, Social Science,

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Stress relieving, Helical Compression spring, Stainless-steel, Spring index.

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The study of joints with ANSYS can help in fast and accurate simulations to adjoin experimental results. This helps to fine-tune the analytical model and the experimental setup as per previous results. In this work, we will analyze the relationships between steel beams and columns. When this is overloaded, the connections bear the majority of the damage. Four different types of specimens with simple and stiff connections will be used. This investigation will examine how beams and columns are connected by utilizing a flange cleat, Seat angle, Stiffener angle, and Clip angle. An analytical study will be conducted on typical beam-column joints subjected to an eccentric load. The ultimate load-carrying capacity, peak displacement, crack propagation, and energy dissipation capacity will be studied.

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ANSYS, Eccentric loading; Beam-column joint; flange cleat; Seat angle; Stiffener angle; Clip angle

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 Abstract

Psalms of the Nazi Angel and the Fallen Jew: Notes of the Predator and the Prey examines a parallel reading between the two autobiographies of Hitler and Anne Frank, The Mein Kampf, The Diary of a Young Girl respectively.

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Holocaust, fascism, nationalism

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A database that encompasses all potential combinations of suspects' external variables is only available to the government's upper echelons, putting more pressure on researchers to collect their own data or compile groups of datasets. To fix this flaw, we suggest a system for acquiring facial and behavioural data in unregulated and real-life scenarios. For the government and private organizations to maintain security, this project would be beneficial. We intend to observe and analyse a fully computerize process of crime registration, investigation, prosecution etc. and to build a central database along with time and location stamps that will serve as a national search engine as well as crime analytics for police and other government agencies. The database that has been created will be utilised to identify suspects from CCTV footage of crimes that has been recorded by a number of systems that are situated near crime scenes and on major thoroughfares. We also make some attempts to electronically share data/information among Police Stations & Police Higher Offices.

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MTCNN, CNN-LSTM, Face Detection & Recognition, Pose estimation, Hand Gesture Recognition, Weapon Detection, Facial Expressions Recognition

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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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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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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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