Volume 9 | Issue 8 |

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Aim of this study is to determine the correlation of self-harm behavior and depression. This research used an observational analytic using the method of systematic review based on cross-sectional, longitudinal and cohort researches about depression and self-harm on teenagers. Four studies are included in this research and show that depression is correlated to self-harm behavior in teenagers. The severity of depression correlates with self-harm and the greater the depressive symptoms, the greater self-harm behavior outcome as well. Increased severity of self-harm is associated with higher levels of depression and also self-harm itself can act as a trigger for depression on teenagers. A study shows that there is an association between gender and self-harm. However, there is another study that stated there is no association between gender and self-harm in teenagers. In conclusion there is a correlation between depression self-harm behavior in teenagers.

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Correlation, Depression, Self-Harm Behavior, Teenagers, Systematic Review

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In an automobile the power developed basically depends upon the fuel used for combustion. Gasoline and Diesel are used in liquid form which is extensively used in the world from last century. These fuels are obtained from crude oil reserves, which is available in limited quantity in the world. This situation will create a problem for energy crises in the future. The fossil fuels are also the big source of air pollution which is having a negative impact on environment as well as on human health.In the present scenario, ethanol is being used as an additive with gasoline in many of the countries of the world. At present in India, 10 percent ethanol mixing with gasoline is mandatory by the Government of India and from the year of 2017, it will be 20 percent. From the past researches it has been found that ethanol is a good replacement of gasoline but is has many disadvantages like: - due to its hygroscopic nature, ethanol damages the internal part to the engine, it effects the metallic as well as non-metallic part of the engine. For overcoming the problems an effort has been made in this study by using butanol as an additive with ethanol gasoline blends because butanol is not hygroscopic in nature and does not rust the internal parts of the engines.In this report, performance analysis of multi cylinder spark ignition engine has been evaluated on ethanol gasoline blend with or without butanol addition. Ethanol was added with gasoline in three different volumetric ratio as 10,20 and 30 percent. Butanol was added in the volumetric ratios of 2.5,5,7.5 and 10 percent with ethanol gasoline and gasoline. Various performance parameters of the engine such as bsfc. BTE, BSEC and EGT have been observed. Exhaust emission such as carbon monoxide, hydrocarbon and oxides of nitrogen has also been observed. The results show that addition of butanol in ethanol gasoline blends had positive effect on the engine performance. Emissions of CO and HC founds to be lower compared to ethanol gasoline blends and gasoline. While NOX emission were on higher side. Overall, additive blends have been performed well and found suitable without any hardware modification of the engine.

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SI Engine, Butanol, Ethanol, Biofuel, Brake Horsepower, Gasoline, Brake Thermal Efficiency

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Employee engagement is the buzz word in both corporate and academic circles in the recent years. Offshoot of economic crises across the world is cost cutting exercise across industry and mass retrenchment is often the primary action. At this juncture there is pressure for human resource management to focus extra effort on not only retaining a large work force, but also keeping them actively engaged. Employee engagement model is fundamentally a scheme for understanding the activities that make employees happy in the workplace. Each model draws on theatrical framework of organizational behaviour and human resource management to facilitate organisations to develop their own system of employee engagement.

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Employee engagement, employee engagement models

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A REVIEW ON MUCOADHESIVE STRENGTH ANALYSIS BY USING DIFFERENT TECHNIQUES

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A REVIEW ON MUCOADHESIVE STRENGTH ANALYSIS BY USING DIFFERENT TECHNIQUES

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Abstract: Recent advances in the fields of image processing and natural language processing are aimed at creating smart systems that will improve people's quality of life. In this paper, an effective method for text detection and extraction from photographs, as well as text to audio conversion, is proposed. Gray scale conversion is used to improve the incoming image first. Following that, the improved image's text sections are discovered using the Maximally Stable External Regions (MSER) feature detector. To efficiently gather and filter text sections in a picture, use geometric filtering in conjunction with the stroke width transform (SWT). Geometric attributes and the stroke width transform are used to remove non-text MSERs. Individual letters/alphabets are then combined together to identify text sequences, which are ultimately fractured into words. Finally, the words are digitised using Optical Character Recognition (OCR). In the final stage, we convert the identified text to speech using our text-to-speech synthesiser (TTS). The suggested algorithm is put to the test on a variety of images, ranging from documents to nature settings. Promising findings have been presented, demonstrating the suggested framework's accuracy and robustness and encouraging its use..

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Maximally Stable External Regions (MSER), the stroke width transform (SWT), Optical Character Recognition (OCR), text-to-speech synthesiser (TTS).

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Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented reality. Following the success of deep learning methods in several computer vision tasks, recent work has focused on using deep recurrent neural networks (RNNs) to model human motion, with the goal of learning time-dependent representations that perform tasks such as short-term motion prediction and long-term human motion synthesis. In this project LSTM algorithm is used to train user activity like sitting, standing, dancing and based on live input video file motion prediction of user is done and lines are drawn on person based on his position of activity.

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Human Activity Recognition, Convolution, Long Short-term Memory, Mobile Sensors.

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Idea of visualizing the medical data by applying machine learning and pandas in python. Taking dataset from medical background of different people (prime Indians dataset from UCI repository). This data set consists of information of user who age, gender type of symptoms related to diabetes. Design a testing and training set and predict what are chances of patients having diabetes in coming five years. Data is classified and shown in the form of different graphs. The Pima Indians of Arizona and Mexico have the highest reported prevalence of diabetes of any population in the world. A small study has been conducted to analyse their medical records to assess if it is possible to predict the onset of diabetes based on diagnostic measures.

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MEDICAL DATA ANALYSIS AND PREDICTION

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Impact of Buddhism in kerala culture can be seen in every parts of our life. The customs and traditions that we are following today are the parts and parcel of buddhist culture.Buddhism which prevalent in kerala was entirely different from what budha exactly preached.The buddhist influence we find in our culture is Mahayana buddhism.Buddhism in kerala is entirely from what Budha exactly preached.The proposed study is an attempt to analyse whether Buddhism in kerala contradicts from Buddhist ideology and if yes, how far both contradict each other? It further analyses the cultural influences of buddhism that can be seen in our culture.

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Buddhism, Diversity, Culture

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Creative Commons Attribution 4.0 and The Open Definition