Volume 8 | Issue 8 |

 Abstract

clove (syzygium aromaticum) is one of the most valuable species that has been used for centuries as food preservative and many medicinal purpose . clove may be looked upon as a champion of all antioxidants known till date

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syzygium aromaticum,volatiles,spices,lavang,

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As the population keeps on increasing, so does the demand of vehicles for easy transportation. But unfortunately this has also resulted in an increase in vehicle thefts as well as DUI related accidents. This report proposes a system made to ensure less vehicle thefts and accident cases resulting in a safe environment. The system consists of components like: Raspberry Pi, Arduino Uno, an Alcohol Sensor, a Pi Camera and a microphone. The features of this system include Voice Recognition, Face Authentication, Alcohol Detection and Drowsiness Detection. Face authentication is done using the Pi Camera with the help of OpenCV libraries. These libraries create and train datasets of the users face and the authentication is done using this trained data set. Pi AUI Suite is used for implementing the voice commanding. An Android App is also developed and connected to the system which will automatically display the data to the owner.

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 Keywords

Raspberry Pi, Arduino, OpenCV, Security

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Mobile banking is very convenient in today�s age with many banks offering impressive apps. Recently, the demands and requirements of banking consumers are altering quickly with the rise in the technological avenues made available in the banking world. Banking customers have started demanding flawless, multi-channel service experiences. And current generation is using mobile banking in a very effective way. Due to advancement of technical world now mobile banking drastically changes the life of every individual. Government and banks are requesting the customers to use mobile banking instead of going to banks as well as for purchasing. The present study on various issues likewise, Customers feel that banking transactions are safe through mobile banking. It can be observed that customers feel that it�s not too difficult to use. As per the study Balance enquiry and account information are the most commonly used service in mobile banking. Majority of customer feel that service charges on mobile banking are reasonable. As the study suggest that most of the bank needs to improve on mobile banking. Mobile banking is most commonly adopted by professionals. Most of them are satisfied with mobile banking application. Among the different service provided by the bank, ATM, e-banking and mobile banking are the most commonly used service compared to others. Even lots of people do not prefer mobile banking because of security reasons, and lack of technical know-how. But the advancement of mobile banking makes life easier mainly for financial matters, due to which the customer is now saving his time.

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 Keywords

Advancement, mobile banking, ATM.

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 Abstract

In construction projects, the most vital aspects considered during planning of every project is cost and time. Each project aims to complete, along with assured quality, within specified time, cost, and scope. But in modern methods, project managers have trouble continuously monitoring work progress, reviewing strategies, tracking costs and resources, and taking corrective measures where appropriate. In the present work, efforts are being made to equate total cost and time savings using construction management methods for multi-storey residential buildings. Later, In the same case study, the principle of value engineering is used to indicate cost and construction time savings. Pereto law, which specifies that 30 percent of a project's activities must bear 70 percent of the construction expense, is used to define the activities that can be changed to achieve economy. Lean techniques were applied to activities contributing 70 percent of the cost, to improve the efficiency of construction processes by reducing waste and maximizing resources.

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 Keywords

Value engineering, Lean techniques, Resources, Construction management

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The outbreak of viral pneumonia in the city of Wuhan, China, in Dec, 2019 was caused by a novel coronavirus designated 2019-nCoV, as determined by sequencing the viral RNA genome. It was thought that SARS-related coronaviruses (SARSr-CoV) is mainly found in bats. Previous studies have shown that some bat SARSr-CoVs have the potential to infect humans. Among its genome S protein is surface-exposed and mediates entry into host cells. Currently it is one of the main targets for designing antibodies (Abs), therapeutic and vaccine. Earlier studies stated that ACE2 (angiotensin converting enzyme 2) could facilitate S protein mediated entry for this newly emerged coronavirus. Here we have taken an attempt to compare the genetic structure of receptor binding domain within S protein of highly pathogenic human coronaviruses (special reference to 2019-nCoV) with Bat coronavirus RaTG13. We have compared 2019-nCov receptor binding domain (RBD) with other pathogenic human coronaviruses (MERS and SARSr-CoV) and Bat coronavirus RaTG13. We found that it is closest to RaTG13 RBD than MERS and SARSr-CoV. Our study shows that 2019-nCov RBD also has significant identity with pangolin S protein RBD. We have also predicted the amino acid residues within RDB those may play important role for ACE2 receptor interaction. We identified unique signature for furin cleavage in 2019-nCov S protein but not in of other pathogenic human coronaviruses (tested here), bat coronavirus RaTG13 or pangolin.

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 Keywords

Coronavirus, sequence alignment, S protein, receptor binding domain, RBD, Covid-19

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This paper describes approach towards development of Electronic Nose device. Electronic Nose is smart instrument that is designed to detect various gases by metal oxide sensors (MOS) array. This system have successfully classified various volatile organic compounds such as methanol, ethanol, propane, toluene, benzene, alcohol, and evaluated the resolution among them. To achieve a portable Electronic nose with sample delivery system. The E-Nose system demonstrated the identification of gases from perfume and wine

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Electronic nose, Metal oxide, Gas sensor

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Documentation is one of the key tools in present era especially in the field of medicine. Lack of technical advancements forced the ancient seers to record and document their preaching on surfaces such as inscriptions over stone, talapatra, bhurjapatra, etc. Since the materials would deteriorate and lose the writings over a period of time, it was necessary to constantly make copies of the same. A group of people made this as a profession and called as scribe. Sometimes on account of lesser subject expertise along with other manual limitations, original manuscripts were slightly altered during the process of copying. These are called as scribal errors. Thus, the reader may not be able to connect with the ideas of the original author. Ayurveda is one such field where the available manuscripts are old and scribal errors is inevitable. Knowledge of scribal errors helps the reader to differentiate the original and distorted content in a manuscript which indirectly helps in the application of principles of Ayurveda known as siddhanta. An overview of scribal error and its relevance in present era is presented in this work.

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 Keywords

LEKHAKA, MANUSCRIPT, TEXTUAL CRITICISM, EDITING, REDACTION

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Pomegranate is one of the oldest known edible fruit which is predominant member of Punicaceae family. It is a large deciduous shrub or small tree native to Asia. The present study focus on the quantitative estimation and comparison of the total phenol content (TPC) of different peel extracts of Punica granatum L. peel during two different seasons of Saurashtra and Ahmedabad region of Gujarat state. Quantitative eastimation of Punica granatum L.peel was performed using two solvents (1) Methanol and (2) acetone. This study was conducted during two different seasons of Saurashtra and Ahmedabad region of Gujarat (1) Ambe bahar (Fruit harvest in June- August) and (2) Hasta bahar (Fruit harvest in February-April). The present study indicated that methanolic extract of Pomegranate peels have more total phenol content(TPC) as comapare to the acetonic extract in both seasons Ambe bahar and Hasta bahar of Saurashtra and Ahmedabad regions of Gujarat. Here, we also reported that Saurashtra region contains more total phenol content than Ahmedabad region. The variations in the quantity of total phenol content (TPC) of pomegranate peels are due to the various environmental factors and geographical distribution of plant in Gujarat. Comparison of Total phenol content for Acetone and Methanol extract of Punica granatum L. Peels during two different seasons of Saurashtra and Ahmedabad regions were firstly reported in Gujarat during this study.

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 Keywords

Pomegranate, Quantitative analysis, Total phenol content(TPC), Seasons, Saurashtra, Ahmedabad

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Coronary Artery disease is a leading cause of death worldwide and one of the commonest interventional surgeries for that is Coronary artery Bypass Angioplasty (CABG). The aim of the study was to check for the prevalence of anxiety and depression in patients undergoing CABG, pre and post surgery . The inclusion and exclusion criteria were stated and 50 studies were screened. Out of these, 2 studies fulfilled the inclusion criteria and were chosen to be.a part of the review. On reviewing the studies it was found that 30% and 40% of CABG surgery patients experience depression and anxiety disorders at rates significantly higher than prevalent in community samples. Anxiety and depression directly affect the quality of life of the patients and cause worsening of outcomes. Even pre operative anxiety is shown to affect the post surgical outcomes in such patients. Thus, it is seen that anxiety and depression are very much prevalent pre and post surgery, the post surgical outcomes are affected by anxiety and depression, anxiety and depression are also affecting the patient�s quality of life, which can be mitigated by proper intervention.

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TOPIC: PREVALENCE OF DEPRESSION AND ANXIETY IN CORONARY ARTERY BYPASS GRAFTING PATIENTS: A SYSTEMATIC REVIEW.

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Image compression aims at reducing the number of bits required to represent an image by removing the spatial and spectral redundancies as much as possible. The focus of the research work is only on still image compression. The lossy compression methods which give higher compression ratio are considered in the research work. Inter-pixel relationship is highly non-linear and unpredicted in the absence of a prior knowledge of the image itself. Thus Artificial Neural Networks (ANN) has been used here for image compression by training the network using the image to be compressed. The ANN takes into account the psycho-visual features, dependent mostly on the information contained in images. The algorithms, on application on the image data while working in a lossy manner and maximize the compression performance. The ANN algorithm used here is the �Error Back -propagation algorithm�.

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 Keywords

Artificial Neural Network, compression ratio, Back propagation, learning algorithm, Training

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