scholarly journals COVID-19: Role of Deep Learning and Cloud Through Identification of Kidney, Pancreas and Intestine

2021 ◽  
Author(s):  
Arulmozhiselvan L ◽  
Uma E ◽  
Jayasri R
Keyword(s):  
Neural Network ◽  
Cloud Computing ◽  
Acute Pancreatitis ◽  
Vital Role ◽  
Patient Records ◽  
Smart System ◽  
Warning Message ◽  
User Data ◽  
Post Infectious

Worldwide human health and economic has been affected due to the ongoing pandemic of corona virus (COVID-19). The major COVID-19 challenges are prevention, monitoring and FDA approved vaccines. IOT and cloud computing play vital role in epidemic prevention and blocking COVID-19 transmission. Mostly lungs and hearts are affected. Other than lungs many parts are affected which are not considered as prominent conversational cue. In this paper, we have proposed smart system that is effective through detection of pancreas, kidney and intestine. It detects acute pancreatitis, protein leak, microscopic blood leak, post infectious dysmotility and gastrointestinal bleeding. The data from the edge devices are collected and mapped into the cloud layer. The cloud consists of COVID-19 patients medical records which compare the user data with the existing patient records. Once the data matches it sends warning message to the user regarding the result of affected parts. Based on the result from KPI system, it analyzes with all data and using deep Convolutional Neural Network (CNN) it classifies whether the pancreas, kidney and intestine are affected or not due to COVID-19.

scholarly journals Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering

Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1832
Author(s):  
Wojciech Sitek ◽  
Jacek Trzaska
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Vital Role ◽  
Materials Engineering ◽  
The Neural Network ◽  
Critical Issues ◽  
Artificial Neural ◽  
The Individual

Artificial neural networks are an effective and frequently used modelling method in regression and classification tasks in the area of steels and metal alloys. New publications show examples of the use of artificial neural networks in this area, which appear regularly. The paper presents an overview of these publications. Attention was paid to critical issues related to the design of artificial neural networks. There have been presented our suggestions regarding the individual stages of creating and evaluating neural models. Among other things, attention was paid to the vital role of the dataset, which is used to train and test the neural network and its relationship to the artificial neural network topology. Examples of approaches to designing neural networks by other researchers in this area are presented.

scholarly journals OCC

2021 ◽  
Vol 16 (4) ◽  
pp. 96-116
Author(s):  
Ashish Tiwari ◽  
Rajeev Mohan Sharma
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Computing System ◽  
Vital Role ◽  
Service Users ◽  
Time Cost ◽  
Cloud Computing Service ◽  
Recent Trends ◽  
And Mathematics

In the recent trends, cloud computing service users agreed on the concept of pay and use model by accessing all the best services provided by the providers. The major problem here is that there is no standardization so that not everyone coming into the same platform. Now cloud computing efficiently uses time, cost, and effort. In this internet, speed is playing an important role. With the development of each and every field with its proper limitations, the researchers come into the picture that the ontology concept is playing a vital role in the field of computing. The key role of ontology is supporting the knowledge sharing activities. It is giving the set of criteria to prove the use of ontology in the computing world. In the design and development of ontology for computing and mathematics, the information from data centers is very important. The selected design and decisions give efficient and effective results to prove how ontology is playing a vital role in the computing system.

scholarly journals A Neural Model of Schemas and Memory Consolidation

2018 ◽  
Author(s):  
Tiffany Hwu ◽  
Jeffrey L. Krichmar
Keyword(s):  
Neural Network ◽  
Memory Consolidation ◽  
Hebbian Learning ◽  
Dynamic Environment ◽  
Neural Model ◽  
Vital Role ◽  
Learning To Learn ◽  
New Information ◽  
Context Dependent

AbstractThe ability to behave differently according to the situation is essential for survival in a dynamic environment. This requires past experiences to be encoded and retrieved alongside the contextual schemas in which they occurred. The complementary learning systems theory suggests that these schemas are acquired through gradual learning via the neocortex and rapid learning via the hippocampus. However, it has also been shown that new information matching a preexisting schema can bypass the gradual learning process and be acquired rapidly, suggesting that the separation of memories into schemas is useful for flexible learning. While there are theories of the role of schemas in memory consolidation, we lack a full understanding of the mechanisms underlying this function. For this reason, we created a biologically plausible neural network model of schema consolidation that studies several brain areas and their interactions. The model uses a rate-coded multilayer neural network with contrastive Hebbian learning to learn context-specific tasks. Our model suggests that the medial prefrontal cortex supports context-dependent behaviors by learning representations of schemas. Additionally, sparse random connections in the model from the ventral hippocampus to the hidden layers of the network gate neuronal activity depending on their involvement within the current schema, thus separating the representations of new and prior schemas. Contrastive Hebbian learning may function similarly to oscillations in the hippocampus, alternating between clamping and unclamping the output layer of the network to drive learning. Lastly, the model shows the vital role of neuromodulation, as a neuromodulatory area detects the certainty of whether new information is consistent with prior schemas and modulates the speed of memory encoding accordingly. Along with the insights that this model brings to the neurobiology of memory, it further provides a basis for creating context-dependent memories while preventing catastrophic forgetting in artificial neural networks.

scholarly journals Role of Interleukin-17 in Acute Pancreatitis

2021 ◽  
Vol 12 ◽  
Author(s):  
Guanqun Li ◽  
Hongze Chen ◽  
Liwei Liu ◽  
Peng Xiao ◽  
Yu Xie ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Poor Prognosis ◽  
Acinar Cells ◽  
Therapeutic Strategies ◽  
Pancreatic Tissue ◽  
Vital Role ◽  
Interleukin 17 ◽  
Systemic Manifestations ◽  
Pathogenic Process

Acute pancreatitis (AP) is a leading cause of death and is commonly accompanied by systemic manifestations that are generally associated with a poor prognosis. Many cytokines contribute to pancreatic tissue damage and cause systemic injury. Interleukin-17 (IL-17) is a cytokine that may play a vital role in AP. Specifically, IL-17 has important effects on the immune response and causes interactions between different inflammatory mediators in the AP-related microenvironment. In this literature review, we will discuss the existing academic understanding of IL-17 and the impacts of IL-17 in different cells (especially in acinar cells and immune system cells) in AP pathogenesis. The clinical significance and potential mechanisms of IL-17 on AP deterioration are emphasized. The evidence suggests that inhibiting the IL-17 cytokine family could alleviate the pathogenic process of AP, and we highlight therapeutic strategies that directly or indirectly target IL-17 cytokines in acute pancreatitis.

scholarly journals WAVELET BASED FEATURE EXTRACTOR AND ANN BASED CLASSIFIER FOR OPTIMAL ECG INTERPRETATION

2014 ◽  
pp. 62-65
Author(s):  
RITU NAZNEEN ARA BEGUM ◽  
AMBALIKA SHARMA
Keyword(s):  
Neural Network ◽  
Automatic Detection ◽  
Vital Role ◽  
The Body ◽  
Cardiac Abnormality ◽  
Qrs Complex ◽  
Feature Extractor ◽  
Ecg Interpretation ◽  
Wave Shapes

The heart plays the most vital role of supplying nutrients and oxygen in any organism. Any abnormality in its function renders the body to many complications which may sometimes even lead to death. Hence, timely and early diagnosis of any abnormality is extremely important. Another requirement of the hour is the Automatic detection. Several techniques have been developed till date, but efficiency achieved so far leaves room for improvement. This paper also, presents a technique that aims at automatic detection of cardiac abnormality using an Artificial Neural Network. The detection is done on the basis of the wave shapes of different QRS complexes for different arrhythmias which are extracted from the ECG beats using Wavelet Transform. As the Daubechies wavelets are similar in shape to the QRS complex of the ECG, db4 has been used in the above context. The performance accuracies achieved for training, testing known data and unknown data have been found to be 99.7%, 99.2% and 96.2% respectively. The MIT-BIH database has been used for the present study and an altogether of seven different beats have been used for classification.

scholarly journals A Study to Assess a correlation between serum amylase, lipase and Radiological imaging in patients with Acute Pancreatitis in a Tertiary care Hospital

2020 ◽  
Vol 11 (SPL4) ◽  
pp. 1709-1713
Author(s):  
Guhan K A ◽  
Naveen Nagendran M D R D
Keyword(s):  
Acute Pancreatitis ◽  
Serum Amylase ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Vital Role ◽  
Care Hospital ◽  
Serum Lipase ◽  
Male Predominance ◽  
The Many

Acute pancreatitis is one of the many complex conditions causing significant morbidity and mortality in patients. CT imaging, along with Serum Lipase and Amylase plays a vital role in the diagnosis and staging of acute pancreatitis. The purpose of this study is to compare the role of CECT and Serum Lipase and Amylase in the diagnosis of acute pancreatitis. The study was done in a span of 3 months (January 2020 to March 2020) on all clinically and biochemically suspected cases of acute pancreatitis (study sample = 120). All these patients were subjected to CECT, and their serum Amylase, Lipase levels were checked. The most commonly affected age group in this study was 41-50 years (45.83%) with a male predominance (59.1%). Alcoholism (49.5%), Cholelithiasis (25.5%) were observed to be the most common aetiology. In conclusion, CECT plays a much better role in the identification and characterisation of acute pancreatitis than Serum Lipase and Amylase.

Asiana Airlines Flight 214

2014 ◽  
Vol 4 (2) ◽  
pp. 113-121 ◽  
Author(s):  
Stephanie Chow ◽  
Stephen Yortsos ◽  
Najmedin Meshkati
Keyword(s):  
Human Factors ◽  
Aviation Safety ◽  
Cultural Factors ◽  
Vital Role ◽  
Cultural Issues ◽  
Flight Crew ◽  
Pilot Performance ◽  
Engineering Designs ◽  
Flight Deck

This article focuses on a major human factors–related issue that includes the undeniable role of cultural factors and cockpit automation and their serious impact on flight crew performance, communication, and aviation safety. The report concentrates on the flight crew performance of the Boeing 777–Asiana Airlines Flight 214 accident, by exploring issues concerning mode confusion and autothrottle systems. It also further reviews the vital role of cultural factors in aviation safety and provides a brief overview of past, related accidents. Automation progressions have been created in an attempt to design an error-free flight deck. However, to do that, the pilot must still thoroughly understand every component of the flight deck – most importantly, the automation. Otherwise, if pilots are not completely competent in terms of their automation, the slightest errors can lead to fatal accidents. As seen in the case of Asiana Flight 214, even though engineering designs and pilot training have greatly evolved over the years, there are many cultural, design, and communication factors that affect pilot performance. It is concluded that aviation systems designers, in cooperation with pilots and regulatory bodies, should lead the strategic effort of systematically addressing the serious issues of cockpit automation, human factors, and cultural issues, including their interactions, which will certainly lead to better solutions for safer flights.

Energy Efficiency Analysis in ERA using NFL-BA Algorithm

2020 ◽  
pp. 340-348
Author(s):  
Palky Mehta ◽  
H. L. Sharma
Keyword(s):  
Cluster Head ◽  
Vital Role ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Cluster Heads ◽  
Comparison Results ◽  
Current Scenario ◽  
Energy Efficiency Analysis ◽  
Selection Of

In the current scenario of Wireless Sensor Network (WSN), power consumption is the major issue associated with nodes in WSN. LEACH technique plays a vital role of clustering in WSN and reduces the energy usage effectively. But LEACH has its own limitation in order to search cluster head nodes which are randomly distributed over the network. In this paper, ERA-NFL- BA algorithm is being proposed for selects the cluster heads in WSN. This algorithm help in selection of cluster heads can freely transform from global search to local search. At the end, a comparison has been done with earlier researcher using protocol ERA-NFL, which clearly shown that proposed Algorithm is best suited and from comparison results that ERA-NFL-BA has given better performance.

Tertiary English-majored Students’ Perceptions toward the Role of Pronunciation in English Language Learning and their Practicing Strategies

2020 ◽  
Vol 6 (2) ◽  
pp. 264-279
Keyword(s):  
Language Learning ◽  
English Language ◽  
Vital Role ◽  
English Language Learning ◽  
Structured Interviews ◽  
Efl Learners ◽  
The University

Accurate pronunciation has a vital role in English language learning as it can help learners to avoid misunderstanding in communication. However, EFL learners in many contexts, especially at the University of Phan Thiet, still encounter many difficulties in pronouncing English correctly. Therefore, this study endeavors to explore English-majored students’ perceptions towards the role of pronunciation in English language learning and examine their pronunciation practicing strategies (PPS). It involved 155 English-majored students at the University of Phan Thiet who answered closed-ended questionnaires and 18 English-majored students who participated in semi-structured interviews. The findings revealed that students strongly believed in the important role of pronunciation in English language learning; however, they sometimes employed PPS for their pronunciation improvement. Furthermore, the results showed that participants tended to use naturalistic practicing strategies and formal practicing strategies with sounds, but they overlooked strategies such as asking for help and cooperating with peers. Such findings could contribute further to the understanding of how students perceive the role of pronunciation and their PPS use in the research’s context and other similar ones. Received 10th June 2019; Revised 12th March 2020; Accepted 12th April 2020

The role of Record of Rights (Khatian) in determining title or possession: An overview

IIUC Studies ◽  
2020 ◽  
Vol 15 ◽  
pp. 33-46
Author(s):  
Kalim Ullah
Keyword(s):  
Human Life ◽  
Vital Role ◽  
Critical Element ◽  
Human Beings ◽  
Supportive Evidence ◽  
Land Administration ◽  
Holy Quran ◽  
The Holy Quran ◽  
Religious Systems

Human beings are deeply related to land. Human beings take birth on land, live on land, die on land and mixes with land ultimately. As stated in the holy Quran: ‘We (Allah) created you (human beings) from the soil, we shall make you return to the soil and We shall call you back again from the soil’ (20:55). Human life is surrounded by soil i.e. land. So, land is a highly completed issue of human life involving economic, social, political, cultural and often religious systems. Land administration is thus a critical element and often a pre-condition for peaceful society and sustainable development. In administrating land, Khatian or record of rights plays a vital role to determine the rights and interests of the respective parties as supportive evidence. In this article, discussion is mainly made on the fact that Khatian or record of rights is not a document of title solely but it may be an evidence of title as well as possession. IIUC Studies Vol.15(0) December 2018: 33-46

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