ABSTRACT
This paper presents a novel unique single-layer dual-polarized microstrip patch antenna array with a COVID-19 shape designed for building a Base Station (BS) for sub-6 GHz applications at the resonant frequency 3.16 GHz. Furthermore, it is easy to fabricate and compact, which makes it suitable for 5G applications. Firstly, a single-element fractal shape antenna with a gain of 3 dB is discussed. Secondly, an 8-element 2x4 antenna array is designed with a gain of 8 dB. The antenna is fabricated using an FR4-epoxy double-sided copper board with a thickness of 1.6 mm. It is optimized by performing parametric studies of the dimensions using the finite element method (FEM) software program HFSS. The printed prototype measurements including S-parameters, polarization, and radiation pattern show a good agreement with simulation results. © 2022 IEEE.
ABSTRACT
The Dental education sector has witnessed a lot of innovations in the past decade. Technology has played an important role in achieving this revolution such that the student can pursue the learning process at any given time and place beyond the geographical limits. The most frequently used approach is the concept of blended learning, which is an amalgamation of face-to-face and online modes of education. Thus, its role in ensuring the learning process to students all over the world despite the COVID 19 pandemic is innumerable. Hence, this review was conducted to explore how different dentistry fields have adopted this approach as a useful tool to impart dental education. The PUBMED database was used to retrieve the articles about the same using the search terms “Blended Learning” AND “dental education”. The majority of the studies showed a positive response and a higher level of satisfaction in comparison to conventional teaching. However, certain studies also indicated no significant improvement in knowledge compared to conventional methods. Conventional methods will definitely continue to be the mainstay as certain themes cannot be dealt with otherwise. In such cases, blending online as well as traditional methods would give beneficial results while preserving the feel of the live personal interaction. © 2022. All Rights Reserved.
ABSTRACT
This paper presents a novel unique microstrip fractal patch antenna with a COVID-19 shape designed for wireless applications. The COVID-19 antenna is a compact, miniature size, multiband, low weight, and low-cost patch antenna;the demonstrated patch antenna, simulated using the HFSS software program, consists of a circular printed patch with a radius of 0.4 cm surrounded by 5 pairs of crowns. The antenna is implemented on a double-sided copper plate with an FR4-epoxy substrate of 1 × 1 cm2 area and 1.6 mm thickness. This small patch operates and resonates on two frequencies 7.5 GHz and 17 GHz within C and Ku bands, respectively. The simulated and measured gains were respectively 0.8 dB and 0.2 dB at the lower frequency and 2.21 dB and 2 dB at the higher frequency. A coaxial probe feeding method is used in the simulation, and printed prototypes showed excellent consistency between measured and simulated resonance frequencies. © 2022, Electromagnetics Academy. All rights reserved.
ABSTRACT
Recently, several types of research in Chatbot systems have been developed in the literature by their means of having a considerable number of languages such as English, French, and other languages, which serve in various fields of a number of real-life cases. Chatbots are considered unfamiliar besides their little usage. To the best knowledge of the research, no previous research has been conducted in improving an Arabic Chatbot in Jordanian universities. With the outbreak of the COVID-19 pandemic and its global effects, the need to reduce the load on the admissions director and possibly other users became critical. Hence, this paper aims to develop an Intelligent Arabic Chatbot System that can reduce such a load. In particular, this system supports an Arabic spoken by using a Jordanian dialect with students, particularly at the Al-Zaytoonah Private University of Jordan. Therefore, the proposed system represents a primary Jordan chatbot that uses a Jordanian dialect. © 2021 IEEE.
ABSTRACT
This short article focuses on the challenges of the COVID pandemic for colleges and universities in the USA. After framing one of the serious institutional and ethical problems brought on by the pandemic, the theoretical work of Karl Polanyi and the observations of Frank Bruni and Brian Rosenberg are considered to further analyse the relation between the provision of public goods, the dynamics of higher educational institutions, and the targets of instrumental rationality in society. © 2020 Inderscience Enterprises Ltd.
ABSTRACT
Abstract: Reviews at present, different machine learning techniques and algorithms have been applied for predicting significant factors of the Coronavirus Disease-2019 (COVID-19) such as the outbreak and diagnosis. In this study, the most accurate time series forecasting model, namely, the Autoregressive Integrated Moving Average (ARIMA) model is used to forecast the expected cumulative number of confirmed and critical cases in Saudi Arabia for the upcoming months. Additionally, the dataset is collected from the King Abdullah Petroleum Studies and Research Centre (KAPSARC). Acquiring the number of expected cases within a short period is considered crucial as it provides an important knowledge that can be applied by the health sector in containing the COVID-19 pandemic and forming the proper precautions and strategies that are concerned on the public health system. The main finding of this research is that the number of cumulative confirmed cases is expected to increase at a high rate in the upcoming two months, while the number of critical cases is forecasted to increase at a smaller rate compared to the total number of cases. To evaluate the performance of the adopted model, different statistical matrices as the R Squared, Mean Squarer Error, Root Mean Square Error and Mean Absolute Error are used in this research. It is found to be proven from the findings that the proposed model generates an accurate prediction of the expected number of cumulative confirmed and critical cases in the upcoming months. © 2020 Samer H. Atawneh, Osamah A.M. Ghaleb, Ahmad MohdAziz Hussein, Mohammad Al-Madi and Bilal Shehabat.