Volume 9 | Issue 6

 Abstract

We have here studied some conventional and novel method approaches for extraction of Mangiferin from leaves of Mangifera Indica (Mango). The one of the common methods used for extraction of Mangiferin is three phase partitioning. The other methods such as Batch extraction, Soxhlet extraction were also studied to see which method gives the optimum yield of Mangiferin. Three phase partitioning (TPP) is the method of extraction in which two phases viz. organic phase and aqueous phase are formed by salt (mostly Ammonium sulphate) saturation, continuous addition of solvent (mostly t-butanol) and adjusting the pH respectively. TPP is the most simple, economical and quick method for recovering Mangiferin from Mangifera Indica leaves as it requires less amount of solvent for extraction and also takes less time. Various parameters which have effects on TPP extraction of Mangiferin such as right salt selection, extraction time, slurry to t-butanol ratio, solute to solvent ratio and right pH were tested to get the optimum yield of Mangiferin. In the study, it was observed that in Soxhlet extraction, the mangiferin content was found to be 57mg/g in 5 hr. time, while in TPP the mangiferin content was 28mg/g in 2 hr. time. Also, conventional batch extraction using water as solvent gave the total yield of 23 mg/g in 2 h 40 min.

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 Keywords

Three phase partitioning, extraction, mangiferin, Mangifera indica leaves, batch extraction, Soxhlet extraction

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 Abstract

Energy efficiency in building can be achieved through cutting down both consumption and embodied energy. Embodied energy can be reduced by the use of renewable and locally available materials. Consumption can be reduced through the redesign of appliances such as water heaters and lighting sources. The project focuses on the reduction of room temperature and for saving of the energy in the buildings. The proposed solution consist of adding paraffin wax in the form of liquid with the concrete and placing the mix in the form of encapsulation or cenospheres in the wall panels. The addition of phase change materials like paraffin wax or bees wax and polyethylene glycol (PEG) along with the titanium dioxide powder concrete mix and making the building an energy efficient building. The effect of each thermal behavior modification on the properties of concrete on addition of titanium dioxide powder to the partial replacement of cement the PCM reduces the heat transfer in the structure. This controls the temperature interval and gives the required result during addition of PCM materials. This project literally aims to achieve an efficient green building which reduces the heat transfer from external environment to internal structure. They provide an impact over the hollow blocks and it is found that CenoPCM capsules have great potential to be added into construction materials for reducing energy consumptions in buildings. The construction industry is striving to develop energy efficient buildings and materials, as economic and environmental constraints are bound to increase in the coming years.

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 Keywords

pcm , thermal resistance , compression strenght ,energy consumption

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Health insurance is insurance that covers the whole or a part of the risk of a person incurring medical expenses, spreading the risk over numerous persons. By estimating the overall risk of health care and health system expenses over the risk pool. Most health insurance plans encompass each inpatient and outpatient covers the grounds that injuries and extended infection while overseas may be extraordinarily highly-priced and very stressful. In this paper, we are Predicting the Insurance Claim of each user. This observes the cost of healthcare for a sample of the population given smoking habits, age, sex, body mass index, and region. The data features observations of statistical information and regression analysis of the dataset. The goal is to predict the best estimator of insurance charges using machine learning algorithms. Machine Learning algorithms for Regression analysis and Random Forest Regression analysis are used and Data Visualization is also performed to support Analysis.

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Insurance, Health System, Smoking Habits, Age, Sex, Body Mass Index, Random Forest Regression.

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Profitability, Selling & Marketing Expenses, Telecom companies

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Rural illnesses and bug vermin are quite possibly the main factors that genuinely compromise rural creation. Early discovery and ID of vermin can adequately lessen the monetary misfortunes brought about by bugs. In this paper, convolution neural organization is utilized to consequently recognize crop infections. The informational index comes from the public informational collection of the AI Challenger Competition in 2018, with 27 illness pictures of 10 yields. In this paper, the Inception-ResNet-v2 model is utilized for preparing. The cross-layer direct edge and multi-facet convolution in the leftover organization unit to the model. After the joined convolution activity is finished, it is actuated by the association into the ReLu work. The test results show that the general acknowledgment precision is 86.1% in this model, which confirms the viability. After the preparation of this model, we planned and executed the We chat applet of harvest sicknesses and bug bugs acknowledgment. At that point we completed the genuine test. The outcomes show that the framework can precisely distinguish crop infections, and give the relating direction.

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Recognition of Pests and Diseases, Deep Learning, Convolutional Neural Network, Harsh Environment.

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Arduino, Lidar, Colour Sensor, Self-Driving Car

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Reduction in size is one of the most important unit operation that is of great importance in the field of pharmacy. This helps to enhance stability and bioavailability, reduce toxicity, increase release and provide better product formulation opportunities. Now a days, Nanotechnology is gaining importance rapidly as a powerful technology. Recent developments in nanotechnology have permitted the development of elaborate Nano sized particles for different biomedical applications. The rapid development of nanotechnology has increased the possibility of using engineered nanoparticles that interact for disease treatment within biological environments. Nanoparticles change the kinetics, drug delivery, and subsequent drug release. Some effects include tissue or cell specific drug targeting, and a controlled release prevents unintended side effects. The present paper aims to review various applications of nanotechnology in the field of pharmaceuticals.

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Stability, Bioavailability, Nanotechnology, Nanoparticles, Drug Delivery

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Economic participation, Profile of women at workplace, Disparity, Afghanistan economy.

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Organic Soil, Vetiver Roots.

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Human Resource Department has the responsibility to ensure skilled and professional supply of workforce. But is it sufficient enough to invest in HR department and not take in account how well it is functioning? To have a sustainable growth in the ever changing dynamic business environment, it becomes all the more necessary to carefully examine, assess and evaluate the performance of HR department. This examination, assessment and evaluation of the effectiveness of HR department bevomes the core responsibility of HR Audit. HR audit is detailed analysis of HR standards to identify the gap in HR functions and modify the same. The present study explores the importance of HR audit and the methodology which can be practiced by the HR auditors to bring out the true and fair view of HR department. The paper also highlights examples of Indian organization which are practicing and hence benefitting by practicing HR Audit.

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HR Audit, HR professional, Sustainable Growth.

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Back in 2014, Ian Goodfellow dreamt up the idea of Generative Adversarial Net-works (GANs), since then a lot of work has been done in the field of Automatic facial image generation. There are already some papers regarding the anime character generation using different GAN algorithms with good results but not so efficient. In this work, we explored the StyleGAN2 for training our clean and well-suited data-set and obtained an efficient and promising result.For public convenience, we built a website that will allow users to obtain required anime character by giving few characteristics.

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Deep Learning, Generative Model, Anime

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The oral route is the most preferred drug administration path because to its ease of administration, convenience, high patient compliance, flexibility in dosage form design, fewer sterility constraints, and cost effectiveness. Lipid emulsions, lipid solutions, micro emulsions, and dry emulsions are examples of lipid drug delivery systems. Artemether (ARM), a poorly water soluble chemical, presents difficulties in developing pharmaceutical formulations with adequate bioavailability. Capmul MCM was used as the oil, Tween 80 as the surfactant, and PEG 400 as the co-surfactant in various ratios to create four self micro-emulsifying formulations. Using an adsorption method, optimised liquid SMEDDS formulations were converted into free-flowing powder and evaluated for drug content, FTIR, DSC, Globule size analysis, SEM, and in-vitro dissolution study. The results show that decreased crystallinity, altered surface morphology, and smaller globules were responsible for a significant increase in drug dissolving rate from the modified S-SMEDDS formulation.

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Artemether, Poor water solubility, Solid self micro-emulsifying Drug delivery system.

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This project aims to save energy which is wasted because of human irresponsibility and carelessness in using electricity and effectively control electronic devices using a micro controller (Raspberry Pi). The system here detects the presence of human. If any person found then the appliances will remain on and if no person is detected then the appliances gets turned off. This helps in saving electricity. For detecting humans, the camera will continuously capture the frames and then send these frames to the raspberry pi. From raspberry pi the signal will be sent to the appliances and the system will work accordingly. For detecting humans, the system uses haar cascade algorithm.

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 Keywords

Internet of Things, Image processing, Object detection, Haar cascade, Artificial intelligence, Computer vision.

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Nowadays plant disease is becoming more and more serious in the agriculture, farmers suffer a lot due to the infection, drastic climate changes and lack of immunity in crops and their yield is also affected due to the lack of detection. This causes large scale demolition of crops, decreases cultivation and eventually leads to financial loss of farmers. Due to rapid growth in variety of diseases and adequate knowledge of farmer, identification and treatment of the disease has become a major challenge. The leaves have texture and visual similarities which attributes for identification of disease type. Hence, computer vision employed with deep learning which provides the way to solve this problem. This paper proposes a deep learning-based CNN model which is trained using plant village dataset containing various images of healthy and diseased leaves. The performance of the proposed model is compared with the existing model and result is presented in the section

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Deep learning, Disease detection, Artificial Neural Network, Convolution Neural Network.

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Psychological status of the students is the topic of interest through the world. The whole performance of the student depends on his mental health. Till date there is no proven treatment to manage the Novel corona virus disease. As the rate of spread is increasing day by day, lockdown is the only option available to slowdown the rate of spreading the infection. The examinations were postponed due to the lockdown effect and the actual date of exam is awaited. In this context many students were undergoing mental stress and there is a strong need to consider their mental health status. From this study we found that the effect of lockdown very high on students mantle health . But there are less impact on those students who regular associated with online classes. The internet facility is very big problem in villages and few places. Students are unable to join online classes and their stress and depression level is very high.

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Image Deblurring, Non-uniform Motion Blur, Generative Adversarial Network, Keras

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CVD, Machine Learning, Deep Learning, ANN, CNN, RNN

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Handwritten Digit Recognition (HDR) is the process of converting images of handwritten digit into digital format. A lot of money is wasted on converting the information that is in paper to digital format. This problem can be solved by using HDR. The heart of our project lies within the ability to develop an efficient algorithm that can recognize the handwritten digits which are scanned and sent as input by the user. The goal of this paper is to observe the variation of different algorithms that can classify the handwritten digits using different hidden layers, various number of epochs and to make a comparison based on the accuracy. This experiment is performed using the Modified National Institute of Standards and Technology (MNIST) dataset.

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Handwritten Digit Recognition (HDR), Epochs, Hidden Layers, MNIST dataset

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Fly Ash, GGBS, Geopolymer concrete, Strength Parameters.

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Aggravated Penetrative Sexual Assault, Aggravated Sexual Assault, Sexual Exploitation, Perverse Mind, Gender Neutral, cataclysms

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