The Manifestation of Anxiety as Repercussion of COVID-19: A Survey of Medical Practitioner's Opinion [0.03%]
新冠肺炎的后遗症焦虑状况——对医务人员意见的调查研究
Dinesh Kumar,Goma Bajaj,Savarna et al.
Dinesh Kumar et al.
Anxiety is usually transient in nature, but if the symptoms are severe and persistent in the absence of stressor, then it is considered as anxiety disorder. Corona virus disease 2019 (COVID-19) which was declared as pandemic by World Health...
Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings [0.03%]
基于生物纳米物联的靶向药物传输高效框架分析
Aya El-Fatyany,Hongzhi Wang,Saied M Abd El-Atty
Aya El-Fatyany
The Internet of Bio-NanoThings (IoBNTs) is a novel paradigm that derives from synthetic biology and advances in nanotechnology for controlling the embedded nanodevices in various medical applications. However, numerous studies have focused ...
Herbal Medicine Used in the Treatment of Human Diseases in the Rif, Northern Morocco [0.03%]
摩洛哥北部里夫地区用于人类疾病治疗的草药
Noureddine Chaachouay,Allal Douira,Lahcen Zidane
Noureddine Chaachouay
Since the beginning of time, the Moroccan people have used many medicinal plants as a popular medicine to cure many human and livestock health problems. Yet, few studies have been carried in the past to properly document and promote traditi...
Accurate Classification of COVID-19 Based on Incomplete Heterogeneous Data using a K NN Variant Algorithm [0.03%]
基于不完整异构数据使用K近邻变体算法准确分类COVID-19
Ahmed Hamed,Ahmed Sobhy,Hamed Nassar
Ahmed Hamed
Great efforts are now underway to control the coronavirus 2019 disease (COVID-19). Millions of people are medically examined, and their data keep piling up awaiting classification. The data are typically both incomplete and heterogeneous wh...
An Intelligent and Energy-Efficient Wireless Body Area Network to Control Coronavirus Outbreak [0.03%]
一种智能且节能的无线身体区域网络以控制新型冠状病毒肺炎疫情扩散
Naveen Bilandi,Harsh K Verma,Renu Dhir
Naveen Bilandi
The coronaviruses are a deadly family of epidemic viruses that can spread from one individual to another very quickly, infecting masses. The literature on epidemics indicates that the early diagnosis of a coronavirus infection can lead to a...
Abeer S Desuky,Sadiq Hussain
Abeer S Desuky
Class imbalance issue that presents in many real-world datasets exhibit favouritism toward the majority class and showcases poor performance for the minority class. Such misclassifications may incur dubious outcome in case of disease diagno...
Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification [0.03%]
基于增强黑洞算法训练前馈神经网络在与COVID-19相关的ACE2基因表达分类中的案例研究
Elham Pashaei,Elnaz Pashaei
Elham Pashaei
The aim of this paper is twofold. First, black hole algorithm (BHA) is proposed as a new training algorithm for feedforward neural networks (FNNs), since most traditional and metaheuristic algorithms for training FNNs suffer from the proble...
Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn [0.03%]
基于讨论的未来学习者语言分组的MOOC跨领域深度学习性能预测研究
Ismail Duru,Ayse Saliha Sunar,Su White et al.
Ismail Duru et al.
Analysing learners' behaviours in MOOCs has been used to identify predictive features associated with positive outcomes in engagement and learning success. Early methods predominantly analysed numerical features of behaviours such as the pa...
Secure CT-Image Encryption for COVID-19 Infections Using HBBS-Based Multiple Key-Streams [0.03%]
基于HBBS的多重密钥流的COVID-19感染安全CT图像加密方法
Omar Reyad,Mohamed Esmail Karar
Omar Reyad
The task of preserving patient data is becoming more sophisticated with the evolution of technology and its integration with the medical sector in the form of telemedicine and electronic health (e-health). Secured medical image transmission...
Neural Synchronization-Guided Concatenation of Header and Secret Shares for Secure Transmission of Patients' Electronic Medical Record: Enhancing Telehealth Security for COVID-19 [0.03%]
基于神经同步的患者电子健康记录安全传输头部信息与秘密份额连接方案：增强新冠肺炎远程医疗安全
Arindam Sarkar,Moirangthem Marjit Singh,Jyotsna Kumar Mandal
Arindam Sarkar
This paper deals with one of the key problems of e-healthcare which is the security. Patients are worried about the confidentiality of their electronic medical record (EMR) which could be used to expose their identities. It is high time to ...