Volume 9 | Issue 7 |

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Creative Commons Attribution 4.0 and The Open Definition

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Feature Extraction,Random Forest Algorithm,Ada Boost Classifier,Decision Tree Algorithm, Gradient Boosting Algorithm, Decision Fusion

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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Stage Performance, Playback Singing, Drama, Music Therapist

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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Sunscreen, SPF, Skin.

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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition