Volume 11 | Issue 2 |

 Abstract

A descriptive study was conducted to assess the level of knowledge and attitude regarding the management of learning disabilities and its management in children among the primary school teachers and to find out the association between knowledge and attitude regarding learning disabilities and its management with sociodemographic variablesMethod: A descriptive study was conducted among 60 primary school teachers from selected school in Bangalore using purposive sampling technique. A self-structured questionnaire with socio demographic data, knowledge and attitude regarding the management of learning disabilities and its management in children was given. Data was collected, analyzed and interpreted using descriptive and inferential statistics. Results: The study results showed that majority 56.67% primary school teachers are having inadequate level of knowledge ,68.3% of primary school teachers are having moderately favourable attitude and there is an association between knowledge and attitude regarding learning disabilities and its management in children among primary school teachers with sociodemographic variables and is partially accepted at + 0.05 level Conclusion: Based on the study results on the knowledge and attitude regarding the management of learning disabilities and its management in children among the primary school teachers will be used as basic data to identify the learning disability in its early stage and give interventions to provide high quality education and care .

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 Keywords

Knowledge, Attitude, Primary School Teachers, Learning Disability.

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 Abstract

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Course evaluation, communicative english, pilot project, ECS

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 Abstract

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Women Entrepreneurs, Motivational factors, Flourishing, Challenges faced by women entrepreneur

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We developed a convolutional neural network (CNN) to convert front-facing camera data straight from raw pixels to steering commands. This end-to-end strategy turned out to be unexpectedly effective. The machine learns to drive in traffic on local roads with or without lane markings, on motorways, and with the least amount of training data from people. By using simply the human steering angle as the training signal, the system automatically picks up internal representations of the necessary processing stages, such as spotting useful road elements. For instance, we never expressly trained it to recognize the outline of a road. Our end-to-end approach simultaneously optimizes all processing steps in contrast to explicit decomposition of the problem, such as lane marking detection, path planning, and control. We contend that doing so will eventually result in bigger systems and better performance. The internal components will self-optimize to maximize system performance rather than improving intermediate criteria chosen by humans, such as lane detection, leading to better performance. It makes sense that these criteria be chosen for simplicity of human interpretation, but this does not imply that they will always result in the best system performance. Because the system learns to solve the problem with the fewest amount of processing steps possible, smaller networks are made possible. For training, we used an NVIDIA Dev Box and Torch 7, and for navigation, we used an NVIDIA DRIVETM PX self-driving car computer running Torch 7.

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 Keywords

Deep Learning, CNN, Computer Vision, Self Driving, Cameras, Autonomous Automobile

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The recent days, entrepreneurship is in limelight. As we know, entrepreneurship directly influences the economy, the standard of living as well as innovation, it is the core element of civilization. Entrepreneurship deals with the employment generation, so the growing economy gets boosted through entrepreneurship. But there are certain basic challenges occurred in the field of entrepreneurship. In this paper, we focused on these challenges and discussed, how moonlighting is effective to overcome these challenges.

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Entrepreneurship, Challenges of entrepreneurship, Moonlighting.

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 Abstract

In this report, the moving item is tracked using rotation angle readings from the servo motor and distance values from the ultrasonic distance sensor. You must forecast them in order to choose the right course or go the shortest distance, depending on the surroundings. Therefore, it is necessary to compare the two tracking methods in order to demonstrate that the proposed tracking method, which uses an ultrasonic distance sensor and servo motor as input elements, is more accurate and cost-effective than the tracking method, which uses vision, LRF, and multiple ultrasonic sensors as input elements. Furthermore, it has been demonstrated that using an intermediary filter improves tracking accuracy.

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Artificial intelligence, IR and ultrasonic sensors, Arduino microcontroller, and human tracking

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CORMAC Mc CARTHY VIEWS ON EXISTENTIALISM FROM THE NOVEL THE CROSSING

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CORMAC Mc CARTHY VIEWS ON EXISTENTIALISM FROM THE NOVEL THE CROSSING

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The therapy of essential hypertension is advised for telmisartan, a strong, long-acting, nonpeptide antagonist of the angiotensin II type-1 (AT1) receptor. The primary objective of this study was to develop, construct, and physico-chemically assess effervescent Telmisartan tablets as they are simple to deliver and oral dosage forms can be challenging for the elderly and young. Croscarmellose, sodium starch glycolate, and cross povidone are examples of superdisintegrants that are used to boost the effectiveness of solid dosage forms. The rapid disintegration may be caused by the rapid uptake of water from the medium, swelling, or burst effect, which increases bioavailability.

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Super dissolving agents, Fast absorption, Direct compression method, moist granulation process, effervescent tablets

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 Abstract

Ayurveda attempts to provide overall wellness rather than just treating our physical ailments. In order to be fully healthy, one must understand every aspect of himself, including his mind and soul. Ayurveda's two of primary objectives are maintaining good health in healthy people and treating diseases in sick people. Maintaining health is the primary focus of one aspect of Ayurveda. Here, the term "health" refers to physical and mental as well as spiritual health. Ayurveda mentions a wide approach for keeping the body healthy and free from any kind of ailment. The WHO definition from 1948 states that health is a complete condition of physical, mental, and social well-being and not just the absence of sickness or disability. It implies that being physically healthy also includes being intellectually and emotionally fit. Our lifestyles in general should include maintaining good health. Since leading a healthy lifestyle can help prevent chronic diseases. Because of their unhealthy lifestyles, people nowadays are dealing with several health issues. Examples of lifestyle disorders include diabetes, hypertension, excessive cholesterol, and joint pain etc. Similar to Vibandha as stated in Ayurveda, constipation is itself a diseased condition or a symptom of disease. In general, it refers to fewer or difficult-to-pass bowel motions, hardened, painful stools, painful defecation, and the sensation of bloating, abdominal discomfort, or incomplete elimination. Painful defecation is frequently caused by constipation. The most frequent causes are dietary or routine changes, a lack of appropriate fiber intake, or both. Fluid homeostasis in the body is maintained by hormones. Constipation can be a symptom of a number of diseases and disorders that disturb the hormone balance, such as diabetes, hypothyroidism, and others. Therefore, a survey study was conducted to evaluate the relationship between constipation and lifestyle diseases in particular.

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Keywords: Constipation, Health, Lifestyle disorder, Vibandha.

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 Abstract

Cryptanalysis is the process of key recovery, or plaintext recovery without the knowledge of the key in Cryptology. It helps us to improve the Cryptographic system by finding any weak point and thus work on the algorithm to create a more secure secret code. In the process of Automated Cryptanalysis we decrypt the cipher text with many possible keys to obtain candidate plaintexts. The basic type of algorithm suitable for this process is a Brute Force attack. This attack is only feasible when key-space is searchable on computational resources available to an attacker. On the other hand, only the most complex algorithms achieve really high accuracy of the plaintext recognition. Nature-inspired algorithms are a set of optimized problem-solving Metaheuristic derived from natural processes that can be used for Automated Cryptanalysis. Genetic algorithm use a stochastic approach to find the best solution in the large search space of the problem. In our research work, we use Genetic algorithm to Cryptanalyze Vigenere and Columnar Transposition Ciphers. A comparision study between those two ciphers is made by testing the algorithm with various file sizes of encrypted plaintexts with two encryption algorithms and analyze which is more efficacy to Genetic algorithm.

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 Keywords

Vigenere Cipher, Columnar Transposition Cipher, Genetic Algorithm, Cryptanalysis.

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Creative Commons Attribution 4.0 and The Open Definition