Volume 4 | Issue 3

 Abstract

High-energy physics is a branch of physics that explores the fundamental building blocks of the universe by studying the behavior of particles at extremely high energies. This paper provides an overview of the key concepts and experimental techniques used in high-energy physics research, and discusses some of the major discoveries and achievements in the field.

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High-energy physics, subatomic particles, particle accelerators, particle detectors, standard model of particle physics, Higgs boson, neutrino oscillations, dark matter, dark energy.

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Social Media have gained more attention nowadays. Public and confidential opinions about a huge variety of matters are expressed via countless social media. Twitter is one of the most popular social media that is growing exponentially. Twitter gives organizations a fast and efficient way to analyze customers� opinions toward critical success in the market. Constructing a program for sentiment analysis is an approach to be used to computationally estimate customers� opinions. This paper describes the design of sentiment analysis, extracting a large size of tweets. Prototyping has been used in this design. Results classify customers� opinions with the help of tweets into positive and negative, represented in the form of a pie chart and html page. However, the program has planned to construct on a web application system, but due to the restraint of Django which can be worked on a Linux server or LAMP, for further, this approach need to be done.

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Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques

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prises as a mother ensures her kids against the en

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prises as a mother ensures her kids against the en

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Abstract The studies of faunal diversity in Tal Chhapar wildlife sanctuary were undertaken from May 2013 to June 2016. During the study 82 species belonging to 42 families of insects, 65 species belonging to 31 families of birds, 9 species belonging to 6 families of reptiles and 14 species belonging to 10 families of mammals were identified in the Tal Chhapar sanctuary and surrounding area. The antelope species Black buck, Antelope cervicapra is very common and abundant in the area, whereas other mammalian species are occasionally seen. The reptile species were mostly seen during the summer and rainy seasons. The results indicates that insects and Aves diversity are enough here but other faunal species of mammals, reptiles are moderate. Blackbuck, Uromastix and Demoiselle Crane are found in large number and these species along with other desert adapted mammals and birds exhibits a vivid and spectacular biodiversity which attract to visitors here. Insect diversity reveals that Lepidopteran and Coleopteran species are abundant and dominant in this area. According to the avian diversity index, the Accipitridae were the dominant family in the study area, followed by the Columbidae, Alaudidae, and Phasianidae. There were 52 resident species, 4 winter visitors, and remaining are occasional and migratory species surviving here. Five Accipitridae species are listed as endangered Vultures (Gyps bengalensis and Neophron Pecopteris) and a few other bird species are among those at risk. The study provides basic information on faunal diversity in the Tal Chhapar wildlife sanctuary of Churu district in Thar Desert.

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Keywords: faunal diversity, assesment Tal, mothiya, insects, birds, reptiles, mammals, desert, endangered species.

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Bidarahalli Narasimhamurthy yavara Hemamunda Himalinga Pra

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prises as a mother ensures her kids against the en

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Cloth retrieval machine, LDR,

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As Sita lived and behaved in the ancient past on her own terms and according to her own norms, this research aims to describe her eco-friendly personality. In the Ramayana, Sita is portrayed as the personification of nature since she is born from the earth and returns there at the end of her life (most naturally, exactly like a plant), and she spends a significant portion of her life leading a wild, natural life in the forest. In this article, I focus on the unexpected and unmatched energy (Shakti) of nature which is expressed through Sita (prakriti). It is crucial to comprehend Sita's role as representing a woman going through culturally civilizing tendencies while still remaining true to nature and helping humanity as a whole. The paper will examine the three significant incidents in Sita's life and speculate on how they affected her relationship with Prakriti/nature.

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This paper represents unsupervised method of color based segmentation using clustering to classify agricultural and non-agricultural area in Satellite images. Texture segment-based image analysis for generating and updating geographical information are becoming more important because of progress in spatial resolution of satellite images. This work involves K-means clustering algorithm for Texture segmentation of satellite images with two approaches. First method proposes a segmentation of various clusters by Lab color space and Texture Features. The Second method proposes a texture segmentation of image by wavelet. K-means Algorithm is verified for simulated images and applied for a selected satellite image processing. The basic tool involved in this project is LabVIEW (Laboratory Virtual Instrument Engineering Workbench), which is a graphical programming language that uses icons instead of lines of text to create applications. LabVIEW is a graphical programming environment based on the G programming language for data acquisition, control, data analysis and data presentation.

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Texture Segmentation, Lab colour space, K-Means, Wavelet, LabVIEW

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A series of N-substituted imidazole derivatives was synthesized. Imidazole nucleus was reacted with ethylchloroacetate to form imidazole ester. Reaction of the imidazole ester (I) with different amines yields the desired products (1a- 1e). The compounds were characterized by FT-IR, 1H-NMR and mass spectra. The synthesized compounds were evaluated for the antimicrobial activity against Staphylococcus aureus, Bacillus subtilis, Escherichia coli, Pseudomonas aeruginosa, Candida albicans and Aspergillus niger by determination of MIC (minimum inhibitory concentration) using tube dilution method. Compound (1b) was found to be the most active antimicrobial compound amongst others in the series.

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1H-NMR, FT-IR, imidazole, minimum inhibitory concentration, tube dilution method

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Genetic Programming, soil-structure interaction, Artificial intelligence, Artificial Neural Network (ANN)

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Deadlock, Snapshot Algorithm,MANET, QoS.

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IMPACT OF PHYSICAL ACTIVITY ON OBESITY

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Slope, SRTM DEM, Classification,Satellite Image,Vena River

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A Methodology for Determination of Approximate Technically Recoverable Hydrokinetic Potential for Hydrokinetic Farming in River or Canal

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Preconceptions from Media Influenced Disaster Preparedness During Super Typhoon Haiyan

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Consumer satisfaction is the major objective of marketing. But in market different customers have different needs and it is difficult to satisfy the needs of all the customers by treating them in the same manner. Buyers in the market have different in their taste, preferences, purchasing power, income, sex, geographical location etc. In order to satisfy the needs of the customers should be aware about the behavior and requirements of the consumers. Business always starts and closes with customers and hence the customers must be treated as the King of the market. All the business enhancement, profit, status, image etc. of the organization depends on customers. Hence it is important for all the organizations to meet all the customers? expectations and identify that they are satisfied customers. The consumer behavior is a dynamic aspect which undergoes frequent changes. The feelings, thoughts, perception and actions of the consumers changes regularly. The consumers decide what, when, how and from whom to purchase the goods and services. Understanding consumer behavior is essential to the establishment of the marketing mix and the development of marketing strategies. To manage customers, organizations should follow some sort of approaches like segmentation or division of customers into groups because each customer has to be considered valuable and profitable. The brand is the identity proof of a manufacture or a service provider that enable consumers to recognize his product in the market. Brands have social and emotional value for the users. Brands have the ability to add or subtract the perceived value of a product, consumers expect to pay lower price for unbranded products or for those with low branded products and because of this attraction they are willing to pay a premium for their favorites or socially valued brands. A good brand normally assures quality and promotes repeat purchases.

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A STUDY ON BRAND SWITCHING OF CONSUMER PRODUCTS WITH SPECIAL REFERENCE TO PATANJALI PRODUCTS IN ERNAKULUM DISTRICT

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The main purpose of this paper is to review how AI-augmented Automation for DevOps is helping the modeling of Cyber-Physical Systems. The growing complexity in the creation and operation of Cyber-Physical Systems (CPS) necessitates a more effective engineering methodology. The main objective of the paper is to develop a better understanding of the model-based framework for more effectively supporting large and complex Cyber-Physical Systems (CPS) software and system engineering using AI augmentation. Recent years have seen a rise in the popularity of DevOps, a methodology that encourages developers and operations personnel to work together more closely on systems [1]. When it comes to system design and integration, using artificial intelligence (AI) is helpful, but it's still restricted due to its tremendous potential. AI technology is expected to play a significant role in the future automation of many major corporations [1]. While the number of organizations investing substantial money in software development is continually expanding, AI is still a developing technology. An integrated AI-augmented framework for the automatic continuous creation of CPSs is the goal of the project, which will use a model-based approach [1]. Model-Driven Engineering (MDE) ideas and methodologies will be covered thoroughly to give a model-based framework with appropriate approaches and associated technology.

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Machine learning, clinical research, clinical trials, biotechnology, Biomedical innovation

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