Volume 10 | Issue 6 |

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Yogic exercises and aerobic exercises an anxiety, athletes.

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 Abstract

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Developmental Coordination Disorder, DCDQ?07, Prevalence

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, Cognition, Post-menopause, Quality of life, Sleep quality

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Face Recognition, Python, Opencv, Face Detection

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Background: The rate of falls and severity of the resulting complications increases dramatically with age. When it comes to fall prevention in elderly population, it is very important to collectively work on postural control, Lower limb strength along with balance training. When all this training is given in group and under observation, it helps to improve performance, willingness and promotes motivation to complete the exercise protocol. Hence the need of the study is to find the effect of a multimodal group balance enhancing exercise program on elderly. Aim: To find the effect of a multimodal group balance enhancing exercise program on elderly. Methodology: It is an experimental study, having sample size of 20 of age between 65-75 years. The data was collected from the locality and the training took place under supervision. TUG, BBS, One Leg Standing Time were assessed. After exercise protocol, statistical analysis was done, and the result were obtained. Result: Significant improvements were observed by paired T-test after multimodal balance enhancing group exercises with p-value less than 0.0001. Conclusion: Study concludes that this multimodal group balance exercise protocol can significantly improve balance in elderly.

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Balance, multimodal, stability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Employee Engagement, Leadership Styles and Productivity

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Composite materials outperform conventional materials due to their superior mechanical properties, according to numerous studies in the field of materials. According to modern manufacturing trends, aluminum-based composite materials are used in a number of applications. In the aerospace and electronics industries, carbon fiber reinforced aluminum metal matrix composites offer a lot of potential. In this study, an open die casting procedure is used to create the AA6063-based composite material. The reinforcement is uncoated continuous long spool-type pitch-based carbon fibers, and the base metal is AA6063. The carbon fibers were laid out in a grid with eleven weight percentage levels ranging from 1% to 6% in 0.5 percent increments. A range of mechanical experiments were used to study the composite's mechanical properties. To forecast mechanical properties, the Levenberg-Marquardt algorithm of single-input multiple-output artificial neural networks is utilized. The output characteristics of the composite are shear strength, hardness, impact strength, and tensile strength. The performance of the Artificial Neural Network (ANN) prediction was evaluated using the determination coefficient (R2) and mean square error (MSE). The average R2 and MSE are 0.9937 and 14.5623, respectively, indicating that the ANN effectively fitted the experimental response variable values. The findings are further supported by the correlation coefficient (R) of 0.99689

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AA6063 Aluminum alloy, Carbon ?ber reinforced aluminum metal matrix composites, Open Die Casting, Artificial neural network, Levenberg-Marquardt algorithm

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Abstract-Internet is experiencing a completely explosive boom these days with the quantity of the gadgets connecting to it. Earlier we had the simplest non-public computers (PCs) and Mobile handsets linked to the internet however now with the Internet of Things i.e. IoT concept of connecting matters with the internet; hundreds of thousands of devices are connecting with it. This improvement of IoT results in the concept of device-to-device communication this means that machines can talk to every different and additionally all of the statistics which changed formerly with personal servers can now be had on the net so the person can get right of entry to it remotely. Application of IoT is possible in nearly all industries especially wherein the velocity of communication isn't always an issue. Precision agriculture is essentially an idea that insists to offer a proper quantity of assets at and for a specific period. These assets may be any matters which include water, light, and insecticides. To put into effect precision agriculture the advantages of IoT have been applied inside the proposed paper. The essential concept is to feel all of the required parameters from the agriculture area and take the required choice to govern the actuator. These agriculture parameters are Soil Moisture, Temperature & Relative Humidity around the plant, and rain sensor. Based on the analysis sensed through the sensor appropriate motion is taken irrigation valve is actuated primarily based totally on soil moisture readings, the valve for fog is actuated primarily based totally on the Relative humidity(RH) readings, etc. At the pinnacle of that sensor nodes also can send these statistics to the cloud.

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precision agriculture, IOT, Rain sensor, Soil moisture sensor.

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A bridge is a construction built to span physical obstacles such as a body of water, valley, or road, for providing passage over the obstacle. In the present work, the analysis and results have been compared for a two-lane simply supported RC T-frame concrete plate girder bridge deck. This analysis according to IRC Chapter-3 is carried out and structural modeling, load and load combinations is applied according to the conditions in the STAAD.Pro software with considering various vehicle databases i.e. Class AA and 70R loading. A dynamic analysis has been performed at different lengths of span to evaluate the effect of the structure length. Additionally, the effect of girder thickness has also been studied. The effective height of the bridge cross-section is kept 2 meters for all cases. In this work, maximum deformation, von-mises stress, shear stress, in- plane shear stress, membrane stress, bending and twisting moment is achieved and compared with each other.

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Dynamic Analysis of Four-Lane Bridge Deck with Variation of Span Length and Girder Thickness under Different Loading Condition

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 Abstract

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Steviol Glycoside, low calorie sweetener, Elution & BV(Bed Volume)

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Creative Commons Attribution 4.0 and The Open Definition