Volume 9 | Issue 7

 Abstract

Music is the best gifted art of nature. The character of music is pervasive in every particle of nature, which is experienced continuously through life. It is an integral part of human life. Even, every person in the society is associated with music in some way or the other. In ancient times, the main purpose of performing music was to worship God and to entertain the general public. In the present time, many changes are seen in the field of music, as a result of which music has emerged as a major role in various other financial dimensions, not being limited to entertainment and God worship. Since, the scope of our Indian Music is very wide, it also creates different dimensions of employment. In this article, we will discuss how many such dimensions of music are there, which help an artist to earn money.

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Stage Performance, Playback Singing, Drama, Music Therapist

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Blasting is a critical part of the mining process, and it necessitates the use of a lot of explosives. However, the blasting process and the use of explosives continue to pose a risk to both humans and the environment. According to various research, fragmentation contributes for only 20-30% of the overall kinetic force used. Ground vibration, fly rock, air overpressure, and noise are all ways that energy is lost. The human reaction to ground vibrations is the special difficulty linked with them. Vibrations from the blast may cause substantial damage to neighboring buildings or structures. This project involves conducting a blast vibration research and interpreting the results in light of the DGMS criteria. Geophones and the Blastmate8.0 programme were used in the research. First and foremost, blasting operations were observed using geophones placed at 100, 200, and 300 metres. The data from the instrument was analyzed by the Blastmate software, which produced a graphical representation. For each explosion, the maximum charge per delay, peak particle velocity (PPV), and air overpressure were measured. The numerous observations were then compared to the standards in order to arrive at a conclusion. When the appropriate quantity of charge per delay or safe charge per delay was utilized, the vibration level for the blasts was less than 5 mm/sec, according to the analysis of blast vibration at the mines. The measured air overpressure was between 114 and 127.6 decibels (L). The results determined from the project indicates that the peak particle velocity, air overpressure generated due to blasting were within the limits. The safe charge per delay for the blasting operation was determined from the study. The project's findings show that the peak particle velocity and air overpressure created by blasting were both within acceptable limits. The analysis found the safe charge per delay for the blasting operation

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Explosives, Blasting, Peak Particle, velocity, Vibrations, Fly rocks

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 Abstract

A modest investment in bar created substantial savings in illness-related prices. The agency recently free its final orders regarding the labeling of sun blocker. the ultimate treatise updates the tentative final treatise regarding over the counter (OTC) sun blocker merchandise. Among the labeling standards square measure removals of the term "sun block" inclusion of an announcement particularization the importance of sun blocker to stop harmful effects of the sun, three sun protection categories: minimum, moderate, high, a brand-new SPF class of 30+ for merchandise with SPF values larger than 30, uniform, and efficient labeling for all sunscreens.

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Sunscreen, SPF, Skin.

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KEYWORDS: Occupational Stress, Adapted Coping Strategies, Nursing Personnel, Shree Krishna Hospital.

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An exploratory study was conducted among 120 bakery workers working across various bakeries to evaluate the prevalence rate and potential risk factors associated with work-related musculoskeletal disorders and the discomfort they face. The specific objectives were to evaluate the risk factors to musculoskeletal discomfort experienced by the bakery workers. It was reported that the neck, upper back, lower back, right forearm, right wrist, hip, and lower legs were the places where the bakery workers reported of pains, aches, or discomforts. 97.5(81.2%) bakery workers reported of having pain in their neck, 96.6(80.5%) had pain in their upper back, 99.2(82.6%) had pain in their right forearm and right wrist, which was due to continuous movement while kneading and rolling dough, cleaning pans/trays, or working above their shoulder level. Almost, 99.2(82.6%) of the workers had pain in their lower back and hip region, which was due to lifting heavy loads and equipment repeatedly, bending and twisting while picking or placing loaded trays on the ground. Whereas, 99.2(82.6%) reported having pain in both of their lower legs due to standing for long working hours. Early detection and appropriate management such as consulting a doctor help in reducing the long-term discomfort, thus preventing the onset of a musculoskeletal disorder in the future. Muscles and tendons should be allowed to rest and recover at the first sign of pain; otherwise, the injury will become long-term and, in some cases, irreparable (https://www.ccohs.ca/oshanswers/diseases/rmirsi.html, n.d.). This paper focuses on and emphasizes the work-related musculoskeletal discomfort faced by bakery workers in their workplace, i.e., bakeries.

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Bakery Workers, Ergonomics, Work-related, Musculoskeletal Discomfort, Postures.

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 Abstract

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Recent developments in cardiac simulation have presented the heart as the most highly integrated example of a virtual organ. Computational modeling of tissue, organ, cells allow to link genomic and periodic information to the integrated organ behavior. This helps to better understand the functioning of heart in both diseased and healthy conditions. Patient-specific modeling (PSM) is the development of computational models of human pathophysiology that are individualized to patient-specific data. PSM has its potential to improve diagnosis, optimize clinical treatment by predicting outcomes of therapies and surgical interventions, and inform the design of surgical training platforms. The goal of this paper is to more broadly illuminate recent work in PSM by providing a survey of current publications in the field and also on computational optimization techniques used in the field of cardiac electrophysiology.

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Computational Modeling, Patient-Specific Modeling, Pathophysiology, Computational Optimization, Cardiac Electrophysiology

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One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems that can recognize and understand images and scenes. Computer Vision is also composed of various aspects such as image recognition, object detection, image generation, image super-resolution and more. Object detection is probably the most profound aspect of computer vision due the number practical use cases. Object detection refers to the capability of computer and software systems to locate objects in an image/scene and identify each object. Object detection has been widely used for face detection, vehicle detection, pedestrian counting, web images, security systems and driverless cars. There are many ways object detection can be used as well in many fields of practice. Like every other computer technology, a wide range of creative and amazing uses of object detection will definitely come from the efforts of computer programmers and software developers. Traffic sign recognition system (TSRS) is a significant portion of intelligent transportation system (ITS). Being able to identify traffic signs accurately and effectively can improve the driving safety. This project brings forward a traffic sign recognition technique on the strength of deep learning, which mainly aims at the recognition of circular signs. The detected road traffic signs are classified based on deep learning. In this project, a traffic sign detection and identification method on account of the image processing is proposed, which is combined with convolutional neural network (CNN) to sort traffic signs. On account of its high recognition rate, CNN can be used to realize various computer vision tasks. TensorFlow is used to implement CNN. In the German data sets, we are able to identify the circular symbol with more than 95% accuracy.

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Keras, OpenCV, Convolutional Neural Networks(CNN), Deep Learning, Traffic sign recognition

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Eco-friendly, Copper oxide nanoparticles, Phenols, bio-reduction, Cytotoxicity, HeLa.

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AUTOMATIC HAND SANITIZER PRODUCTION USING PLC

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Customer churn is one of the main problems in the telecommunications industry. Several studies have shown that attracting new customers is much more expensive than retaining existing ones. Therefore, companies are focusing on developing accurate and reliable predictive models to identify potential customers that will churn shortly. The telecommunication industry in recent years is a subject of major changes and from a fast-growing industry has come to a state of saturation accompanied by a strong appetitive market. Customers starve for better services and prices, while their requirements are extremely complex and difficult to understand. Customers starve for better services and prices, while their requirements are extremely complex and difficult to understand. This project aims to investigate the main reasons for churn in the telecommunication sector. This project aims to investigate the main reasons for churn in the telecommunication sector. The proposed methodology for analysis of churn prediction covers several phases: understanding the business, selection, analysis, and data processing; implementing various algorithms for classification; evaluation of the classifiers and choosing the best one for prediction

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Churn Prediction,machine learning.

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India was exposed to modern day tax structured Sir James Wilson in 1860 so that British Indian Government of that time can recover the losses incurred during the revolt of 1857. Since then various reforms were introduced to manage the pace of development and increase the horizon of government revenue through taxes. Most recently Goods and service taxes were introduced in India which has subsume more than 15 indirect taxes in it and becomes the most dynamic and celebrated tax reforms of the recent time. GST is an promising tax regime which was introduced with the motive make Indian businesses globally competitive by removing cascading effect, Easy inter-state movement of goods, inclusion of small business in the formal economy, reduction of tax terrorism etc. It is claimed to be one of the best measure to reduce tax evasion both direct and indirect. It was France which has introduced the GST for the first time in the world in 1954. But as world trade progresses today more that 160 countries of the world has adopted this system of taxation. It has been claimed that the GST model that India has adopted is very similar to Canadian Model of VAT. Both India and Canada are Common Law countries having very similar federal structure so it was advisable to look forward to Canadian Model of GST. Canada has adopted this system of taxation for the first time in 1991. Initially the government has faced many backlashes for the new change but today it is one of the country with smoothest Indirect tax structure. The present paper analyse the indirect tax regime in both the countries and tries to evaluate the similarities and dissimilarities of the law in both the jurisdiction.

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GST, ITC, HST, VAT, RST, QST,PST, MST, indirect tax, etc.

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Abnormal development of cells in human body contributes to the formation of cancer or tumor. The uncontrolled expansion of cells in human brain leads to the formation of brain tumors. These brain tumors are classified into two types, benign and malignant. This project presents an automatic segmentation method based on fuzzy corner metric markers and classification method using Convolutional Neural Network. The segmentation method uses a fuzzified corner metric, in view of image intensity, is proposed to recognize the component markers to be enclosed by the contour. In order to improve the accuracy level, Whale Optimization Algorithm (WOA) is used. The WOA is used to tune the hyper parameters of hybrid CNN. These parameters include the number of convolution kernels, the size of convolution kernels, activation function, batch size and learning rate. CNN models, one of the deep learning networks, are utilized for the diagnosis process. The proposed work is implemented and simulated in MATLAB. The proposed work gives exceptionally good results, when compared to recently proposed techniques and this work provide better accuracy of 98.92%, specificity of 97%, and sensitivity of 97%.

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Brain Tumor, Classification, Image Segmentation, GLCM

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zafirlukast, fexofenadine, rheumatoid arthritis, leukotriene, histamine.

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There is significant climb in cyber attacks, a numerous organizational entities are presently making progress toward better information mining strategies to examine security logs that has acquired from the various software framework to guarantee avoiding the bot attacks based on the location. Machine Learning approach based security frameworks are evolving to detect the patterns of attack by extracting the payload data from the network resources. These uncover the threats that are targeted towards the operational infrastructure with minimizing the cost for detection of these attacks. This paper introduces PSO Algorithm for detecting bot attacks on a network infrastructure. PSO Particle swarm optimization is a rudimentary variant which operates by consuming a populace of network infrastructure (assumed as a swarm) of network data (assumed as particles). These network particles are simulated and propagated in the investigation computational coordinates of the network infrastructure domain. The movements of the network particles result in a upward trajectory pattern of upper boundary and its consequent downward pattern lower trajectory of lower boundary. These boundaries constitute of the network traffic movements and each packet movement in the network space, when the data of each packet crosses upward trajectory pattern which will constitute of the traffic deviations generally a bot attack. These patterns are trained and tested on the network infrastructure to efficient detection of the attack.

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PSO Particle swarm optimization, Network Infrastructure , Cyber Attacks , Machine Learning

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The gearbox is a device which is used to transmit the power from one shaft to the other shaft within the required gear ratio. But, most of the times space limitation becomes the major problem of system. Also efficiency of the device is one of the important parameter. The device should have maximum efficiency. The conventional gear box gives us the required power and speed ratio but, they require the larger space for their working. Also they possess large number of parts and become bulky. In some applications, the space limitation is the important factor while designing the device. The aim of this project is to design a shaft mounted speed reducer which requires the less space and gives required speed ratio. In this thesis the analytical and numerical methods are used to design the parts of shaft mounted speed reducer. Also the experimentation is done to check validation of the work. The advantage of this project is, it requires less space and gives high efficiency. The maximum efficiency obtained by this speed reducer is 93.28%.

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Timer Pulley, RH Sleeve, Internal Gear Ring

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Maximum of the humans now are dealing with weight problems as their foremost issues. It may motive because of calorie intake, non-stop paintings without workout and modifications in meals behaviour this is intake of junks and etc., Mushroom is one of the tastiest snack that everybody likes to have it. In the growing present day drug treatments the position of our herbs and conventional meals behaviour like mushroom and others are gambling very crucial position in our health. In this overview article we're going to see the useful position of oyster mushroom in weight problems problem.

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REVIEW ON EXPLORING THE ROLE OF OYSTER MUSHROOMS IN OBESITY

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To Study About The Efficacy Of Stretching Exercises And Stretching With Cold Pack On Hamstring Pull. - For Reducing The Pain - For Increasing The Range Of Motion

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Stretching Exercise, Cold Packs, Hamstring Pull, Reduction Of Pain, Significant Improvement

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The world is developing rapidly due to the construction of buildings for commercial and residential. Due to the usage of concrete it leads to the shortage of the natural resources. Silica fume is added as admixture to partial replacement of cement with different percentages of 0, 5, 7.5 and 12.5. AR glass fibers are used to increase the mechanical properties of concrete. The test results were obtained with reference to compressive and split tensile strength at 28days. A constant percentage of 0.03% of glass fibers is added to the concrete.

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Alkaline glass fiber, silica fume, compressive strength, split tensile.

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The soft drinks sector is one among the fastest-growing, most innovative, and fast changing areas of the food and drink industry. The aim of present work was isolation and identification of micro-organisms and chemicals which may lead to various health problems from soft drink and fruit juice. Samples was collected from different location of Nanded which contains 4 carbonated soft drinks of different brands. And, Apple Juice, Orange Juice and fruit beer from local market. We collected different samples of soft drinks and fruit juices with a specific dilution for testing. After testing us observed different types of micro-organisms such as-Staphylococcus aureus, cocci shaped bacteria, Bacillus etc. The most prevailing bacterial isolates were glucanobacter sp., Lactobacillus sp. And next prevalent bacterium was leuconostoc sp. Some fungi were also observed in the sample such as Penicillium Expansum, Penicillium roquefori, Penicillium Glabrum.

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Carbonated Soft drinks, microorganisms, fruit juices, contamination

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