Volume 9 | Issue 6 |

 Abstract

Human coronaviruses (HCoVs) have long been considered as no significant pathogens causing common cold in healthy people. But in the 21st century, 2 highly pathogenic HcoVs which are Severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from animal reservoirs to cause global epidemics with alarming morbidity and mortality. An other pathogenic HcoV ,2019 novel coronavirus (2019-nCoV) was discovered was seen at Wuhan, China in December 2019 and this pathogenic HcoV has caused serious illness and death. The proposed work discusses about the detailed literature review of the contribution made by different authors.

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 Keywords

Covid, Corona Virus, Drug, repurposing

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The conventional method for classification and tumor detection of medical resonance brain tumor images is by human inspection, where in a lot of time and effort is put in by the specialists to analyze the problem area and to come up with a conclusion regarding the spread of the tumor region and its current stage. This paper proposes a fast and robust practical tool for segmentation of solid tumors with minimal user interaction to assist clinicians and researchers in radio surgery planning and assessment of the response to the therapy and classification of tumors using probabilistic neural network. Particularly, cellular automata (CA) based seeded tumor segmentation method on magnetic resonance (MR) images, and a standardized process called seed selection, is proposed. ANN with image and data processing techniques were employed to implement an automated brain tumor classification. Decision making was performed in two stages: feature extraction using the principal component analysis and the classification using Probabilistic Neural Network (PNN). The performance of the PNN classifier was evaluated in terms of training performance and classification accuracies.

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Keywords: Cellular Automata, Magnetic Resonance, Probabilistic Neural Network (PNN)

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Video Processing, Video Coding, H.264, Decoder

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ABSTRACT: INTRODUCTION: Anaemia is a condition in which the number of RBC OR OXYGEN CARRYING CAPACITY is insufficient to meet the physiological needs of the individual .It is a commonest medical disorder in pregnancy & responsible for significant high maternal and fetal mortality rate worldwide. AIM: To study socio demographic factors , maternal and fetal outcome. MATERIALS AND METHODS: This study included all antenatal women presenting in third trimester of pregnancy with Hb<7 gm/dl over a period of 2 year in the department of OBGY ,GMCH AURANGABAD.Gestational age more than 28 wks and haemoglobin less than 7 g/dl included in this study. RESULTS: A total of 200 women were studied .All women were investigated and treated with Injectable iron sucrose and adequate blood transfusion. Maternal complication in terms of CCF ,PPH,Sepsis,Lactational failure ,Surgical site infection were studied. Fetal complication in terms of LBW ,Prematurity,Neonatal sepsis were studied. CONCLUSION: The prevalence of IDA and amount of information available regarding the condition is substantial. Iron deficiency anaemia (IDA) is not a disease,but a collection of signs and symptoms that are displayed according to an insufficient amount of iron in the body.IDA prevention is dependant on the early and successful utilization of diagnostic tools and treatment options.

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Pregnancy, Iron deficiency anaemia, Blood transfusion, PPH

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 Abstract

Microstrip antennas have found their place in the research areas over the past few decades. The main reason for the popularity of these types of antennas is their small size and ease of fabrication. The size of these antennas depends on the frequency of operation. Therefore, as the frequency of operation increases the size of these antennas decreases significantly. This paper summarises the different types of microstrip antennas, the feeding techniques that can be used to feed the radiating element with the input electrical signal, and the various miniaturization techniques that can be implemented to make these antennas more compact.

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Antennas, Microstrip, miniaturization, patch antenna, feeding mechanisms, microstrip antenna types.

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Citrus are one in every of the foremost wide cultivated fruit crops. Citrus fruits are made supply of essential vitamins, minerals, ?bers and bioactive phytochemicals, like alkaloids, carotenoids, gas compounds and polyphenolics. The by-products derived from citrus wastes ar thought of to be associate degree economic and renewable supply for valuable compounds which might be utilized in pharmaceutical, neutraceutical, food and cosmetic industries. The review presents an in depth description on the recent advances with stress on the citrus derived neutraceuticals as potential supply for numerous biological properties and physiological roles, like anti-carcinogenicity, anti-mutagenicity, anti-allergenicity, anti-ageing activitiy, and natural moreover as vital constituent in artificial antioxidants. A comprehensive description on the citrus derived food and drinks more over as alimentary feed for animals has additionally been enclosed.

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Neutraceuticals, Citrus fruits, Citrus Waste, Phytochemicals, Anti-oxidants, Supplements.

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Many working families locate far away from their place of work because of the low or affordable housing but this also results in increasing transportation cost and also increase in the commute time. However, for such families the transportation cost is sometimes equal to their housing cost or sometimes it is even greater. But affordability for these people is not just about transportation cost. Households of limited resources have fewer choices in both where they can travel to and where they can actually afford to live and survive. Key words: Affordability, Transportation, Survival.

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Key words: Affordability, Transportation, Survival.

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Multiple-Input and Multiple-Output or MIMO has become an essential element of wireless communication standards including the use of multiple antennas at the transmitter and the receiver. In modern usage, MIMO refers to a practical technique for sending and receiving more than one data signal simultaneously over the same radio channel by exploiting multipath propagation. the use of orthogonal frequency division multiplexing to encode the channels that's responsible for the increase in data capacity.The narrowband MIMO performance is used to enhancechannelestimation in wireless MIMO ad hoc systems. In this paper we develop a model of MIMO ad hoc and measure the performance the network using the maximum likelihood (ML) estimator to formulate the channel model and measures the bit error rate (BER) in terms of signal to noise ratio (SNR) considering the Rayleigh fading channel with different number of receiver combination. Finally, we simulate a network implementing the Alamouti coding scheme and results are shown for the channel estimation.

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MIMO,Maximum Likelihood Channel Estimation,Alamouti Coding,fading channel.

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recent years, various methods for source code classification using deep learning have been proposed. In these methods, the source code classification is performed by letting the neural network learn the source code's token sequence, etc. In that case, it is necessary to select the appropriate neural network or source code representation because the learning efficiency decreases when neural networks and source code representations that are not effective for source code classification are used for learning. However, it is not clear which neural networks or combinations of source code representations are effective for realizing high-precision source code classification methods. In this study, we compare the source code classification method using deep learning. First, we selected 3 neural networks that are widely used in existing research. Next, we compared the accuracy of a total of 6 source code classification methods in which the neural network trained the token sequence or abstract syntax tree of the source code. As a result, it was confirmed that the recursive neural network which learned the token sequence of the source code has the highest accuracy. In addition; we compared the source code classification accuracy of deep learning and non-deep learning methods, and confirmed that the classification accuracy of deep learning methods is high.

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Deep learning, Source code classification, Forward propagation Neural network, Recursive Neural network, Graph Convolution network, BoW.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Deep Learning, Natural Language, Detection Models, predict, binary

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Creative Commons Attribution 4.0 and The Open Definition