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Keyword: ROPrimary Healthcare Response to COVID 19 in a District of Callao, Peru
Objectives: Describe the clinical characteristics and home care of patients diagnosed with COVID-19 in a Primary Healthcare Facility of the “Mi Peru” district, in the Callao Region, Peru. Materials and methods: Observational and descriptive cross-sectional study. A total of 84 subjects with positive results for Rapid Test IgM / IgG or molecular test (RT-PCR) participated.…
Read MoreDesign of High Output Impedance, Large Voltage Compliance Output Stage of Implantable Hypoglossal Nerve Stimulator (HGNS) for OSA Treatment
Obstructive Sleep Apnea (OSA) is a potentially common sleep disorder manifested in upper airways’ collapse, either partially or completely. If diagnosed late and untreated, it may result in serious complications. The standard golden method, useful for treating OSA, remains the full night Continuous Positive Airway Pressure (CPAP). Yet, due to the ensuing discomfort it incurs…
Read MoreThe Curriculum Developer Team Assignment Analysis Using Ones Assignment Method
This examination plans to investigate the task issue in the educational program designer group utilizing the Ones Assignment Method. The calculation of this technique as follows. At first characterized the task grid, at that point by utilizing determinant portrayal acquired a diminished framework which has in any event one in each line and segments. At…
Read MoreInnovative Solution for Parking-Sharing of Private Institutions Using Various Occupancy Tracking Methods
This work presents an innovative solution for parking-sharing of private institutions based on daily occupancy patterns and using different real time tracking methods of vacant parking slots. The research objective consists in finding the most accurate cars detection method, for determining of vacant parking slots and updating them on application web page. Beside the technical…
Read MoreDesign and Implementation of Quad-Site Testing on FPGA Platform
As manufacturing efficiency has become a main focus of today’s business, it is very critical to surge the throughput by developing different test strategies. With throughput, testing cost also has been recognized as the major challenge in the future of leading semiconductors. Reducing test time is a significant effort to maximize throughput as the complexity…
Read MoreDevelopment of a Wireless Displacement Estimation System Using IMU-based Device
Estimation of displacement is an information required for daily operation monitoring systems to monitor human health or to locate users in buildings, basements, tunnels and similar places which under the same conditions that the global positioning signal (GPS) level is from very weak to completely absent; and is the measurement technique by using multimetric data…
Read MoreBrain Tumor Classification Using Deep Neural Network
Brain tumors are a type of tumor with a high mortality rate. Since multifocal-looking tumors in the brain can resemble multicentric gliomas or gliomatosis, accurate detection of the tumor is required during the treatment process. The similarity of neurological and radiological findings also complicates the classification of these tumors. Fast and accurate classification is important…
Read MoreJohnson Noise and Optical Characteristics of Polymer Nanocomposites Based on Colloidal Quantum Dots and In-Situ Nanoparticles Formation
Electrical and optical properties of polymer nanocomposite thin films have been analyzed to study their reliability and competency as a component for optoelectronic devices such as LED and solar cells. Polymer nanocomposite encounters various challenges, such as the dispersion of nanoparticles in the matrix that hinders their efficiency for potential devices. In this paper, two…
Read MoreStudent’s Belief Detection and Segmentation for Real-Time: A Case Study of Indian University
This paper has explored the technology beliefs of university students considering four parameters. We have proposed an automatic belief identification system for academic institutions. For this, we used two different clustering algorithms to segment the student group with different beliefs about the technology. In the Hierarchical Clustering (HC), the Agglomerative approach was followed. The beliefs…
Read MoreAn Empirical Comparison of Different Two-Factor Models in the Context of Portfolio Optimisation
The crisis linked to the COVID-19 and the uncertainty it generates in the unprecedented health, societal, economic and financial fields have had a strong impact on the stock markets. Indeed, in such a climate of very high uncertainty, it is to be expected that the excessive stock market price movements will continue, with both declines…
Read MoreSmartphone Influence Factor of University Student’s Academic Achievement
The smartphone is a phenomenal device or tool that recently transform the habit of people. In this part, the smartphone serves not only as a communication device but also more complex functionality. The early research reported that smartphones are used by university students to support their social and academic activities. However, the research report that…
Read MoreEnterprise Architecture Institutionalization for Health Information Exchange (HIE) Cloud Migration
The functional priority of Health Information Exchanges (HIEs) is to ensure a timely transference of health data. Because of the frequency at which health records are transferred and the variety of health data HIEs receive, there are major challenges in efficiently accomplishing this. Cloud technology has become a generally accepted solution to remediate data transference…
Read MoreMulti-layered Security Design and Evaluation for Cloud-based Web Application: Case Study of Human Resource Management System
Cloud computing is the development of information technology to provides resources that can be accessed through network. Security and privacy in cloud computing are major concern for companies. Therefore, cloud computing architecture strategy and design are needed to reduce costs and ensure the security of company assets in cloud computing. In this study, we are…
Read MoreIssues in File Caching and Virtual Memory Paging with Fast SCM Storage
Storage-Class Memory (SCM) like OptaneTM has advanced as a fast storage medium, and conventional memory management systems designed for the hard disk storage need to be reconsidered. In this article, we revisit the memory management system that adopts SCM as the underlying storage medium and discuss the issues in two layers: file caching and virtual…
Read MoreInvestment of Classic Deep CNNs and SVM for Classifying Remote Sensing Images
Feature extraction is an important process in image classification for achieving an efficient accuracy for the classification learning models. One of these methods is using the convolution neural networks. The use of the trained classic deep convolution neural networks as features extraction gives a considerable results in the remote sensing images classification models. So, this…
Read MoreFinding Association Patterns of Disease Co-occurrence by using Closed Association Rule Generation
This paper proposes a closed association rule generation technique to investigate the association patterns of diseases that are frequent co-occurrence. Diseases records of 5,000 patients are studied to find the association patterns of disease co-occurrence. The CHARM algorithm is adapted to find frequent diseases that can cover all-important patterns with a small number. Then the…
Read MoreOvercome Discrimination: A Logistic Regression with 10-year Longitudinal Investigation of Emo Kids’ Facebook Posts
This study primarily aims to identify the factors that helped emo kids in 2010 move through the emo-identity discrimination and be able to obtain a certain level of achievement. Facebook is the social network that allows users to track friends’ posts back over 10 years. Content analysis was conducted by using two coders to rate…
Read MoreExperimental and Numerical Study of the Mechanical Behavior of Bio-Loaded PVC Subjected to Aging
Increased recycling of PVC has become a requirement in industrial and scientific research level. Several studies will be realized. To confirm and check the recycled materials performance, it will be important to go through numerical modeling, which consists not only in validating the results of the experiments, but also in predicting what happens when the…
Read MoreCNN-LSTM Based Model for ECG Arrhythmias and Myocardial Infarction Classification
ECG analysis is commonly used by medical practitioners and cardiologists for monitoring cardiac health. A high-performance automatic ECG classification system is a challenging area because there is difficulty in detecting and clustering various waveforms in the signal, especially in the manual analysis of electrocardiogram (ECG) signals. In this paper, an accurate (ECG) classification and monitoring…
Read MoreAdvances in Optimisation Algorithms and Techniques for Deep Learning
In the last decade, deep learning(DL) has witnessed excellent performances on a variety of problems, including speech recognition, object recognition, detection, and natural language processing (NLP) among many others. Of these applications, one common challenge is to obtain ideal parameters during the training of the deep neural networks (DNN). These typical parameters are obtained by…
Read MoreWideband and High-Gain Aperture Coupled Feed Patch Array Antenna for Millimeter-Wave Application
Millimeter-wave (mmW) antenna is one of the most important parts of the fifth-generation (5G) systems because of its advanced characteristics, for example, wideband and high transmission rate. In this paper, an mmW 4×1 array antenna with high gain and wideband based on an aperture coupled feeding patch (ACFP) antenna is presented. The proposed array antenna…
Read MoreKnowledge Mapping of Virtual Academic Communities: A Bibliometric Study Using Visual Analysis
This study aims to provide a systematic and complete knowledge map for researchers in the field of virtual academic communities (VACs) and to help them quickly understand the key knowledge, evolution trends and research frontiers. This paper adopts the bibliometric method, with the help of bibliometric analysis software Citespace and VOSviewer quantitative analyze the retrieved…
Read MoreMalware Classification Using XGboost-Gradient Boosted Decision Tree
In this industry 4.0 and digital era, we are more dependent on the use of communication and various transaction such as financial, exchange of information by various means. These transaction needs to be secure. Differentiation between the use of benign and malware is one way to make these transactions secure. We propose in this work…
Read MoreReview of Orange Juice Extractor Machines
There is some agricultural equipment for post harvesting of Orange fruit Juice, all the machine is geared towards extraction of the fruit juice. Fruit juice extraction is the act of wringing out the juice content of fruits by way of an effective processing and storage which enhance reduction in wastage. Fruit juices which literally have…
Read MoreContextual Word Representation and Deep Neural Networks-based Method for Arabic Question Classification
Contextual continuous word representation showed promising performances in different natural language processing tasks. It stems from the fact that these word representations consider the context in which a word appears. But until recently, very little attention was paid to the contextual representations in Arabic question classification task. In the present study, we employed a contextual…
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