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A feature selection-based framework to identify biomarkers for cancer diagnosis: A focus on lung adenocarcinoma

Lung cancer (LC) represents most of the cancer incidences in the world. There are many types of LC, but Lung Adenocarcinoma (LUAD) is the most common type. Although RNA-seq and microarray data provide a vast amount of gene expression data, most of the genes are insignificant to clinical diagnosis. Feature selection (FS) techniques overcome the high dimensionality and sparsity issues of the large

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications

Identifying Immunological and Clinical Predictors of COVID-19 Severity and Sequelae by Mathematical Modeling

Since its emergence as a pandemic in March 2020, coronavirus disease (COVID-19) outcome has been explored via several predictive models, using specific clinical or biochemical parameters. In the current study, we developed an integrative non-linear predictive model of COVID-19 outcome, using clinical, biochemical, immunological, and radiological data of patients with different disease severities

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications

Vehicle to Pedestrian Systems: Survey, Challenges and Recent Trends

The accelerated rise of new technologies has reshaped the manufacturing industry of contemporary vehicles. Numerous technologies and applications have completely revolutionized the driving experience in terms of both safety and convenience. Although vehicles are now connected and equipped with a multitude of sensors and radars for collision avoidance, millions of people suffer serious accidents on

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

Deep learning models for predicting RNA degradation via dual crowdsourcing

Medicines based on messenger RNA (mRNA) hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intrinsic instability of RNA molecules to a chemical degradation reaction called in-line hydrolysis. Predicting the degradation of an RNA

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Mechanical Design

Organizational learning via gamification for employer brand management

Purpose: This paper aims to deepen our understanding of how serious games could be used for learning in organizations to empower brand performance and image sustaining competitive advantage from a Resource Based View (RBV) perspective and to examine the practical implications of the evolving technologies for employers. Design/methodology/approach: The research methodology is based on a qualitative

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

A Reliable Secure Architecture for Remote Wireless Controlling of Vehicle's Internal Systems based on Internet of Vehicles using RF and Wi-Fi

Internet of Vehicles is considered one of the most unprecedented outputs of the Internet of Things. No one has realized or even expected the rapidly-growing revolution regarding autonomous connected vehicles. Nowadays, Internet of Vehicles is massively progressing from Vehicular Ad-Hoc Networks as a huge futuristic research and development discipline. This paper proposes a novel reliable and

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications
Mechanical Design

The effects of a negative economic shock on male marriage in the West Bank

This study examines how a large negative economic shock impacts marriage rates for young men in the West Bank. Utilizing data from before and after the sudden and abrupt closure of the Israeli labor market for Palestinian commuters from the West Bank in 2001, our empirical design employs a difference-in-difference strategy and uses the variations in localities’ exposure to the Israeli labor market

Circuit Theory and Applications
Software and Communications
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

Review of activated carbon adsorbent material for textile dyes removal: Preparation, and modelling

Water contamination with colours and heavy metals from textile effluents has harmed the ecology and food chain, with mutagenic and carcinogenic effects on human health. As a result, removing these harmful chemicals is critical for the environment and human health. Various standard physicochemical and biological treatment technologies are used; however, there are still some difficulties. Adsorption

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications

A Fractional Variable Order Model of COVID-19 Pandemic

2020 has witnessed a rapidly spread pandemic COVID-19 which is one of the worst in the history of mankind. Scientists believe that COVID-19 spreads mainly from a person to another. Recent researches consider bats as a vector for COVID-19. This paper suggests a variable fractional order model for COVID-19 to figure out how bats and hosts interact, and how the seafood market affect people. The

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications
Innovation, Entrepreneurship and Competitiveness

Can Micro RNA-24 Affect the Cardiovascular Morbidity in Systemic Lupus Erythematosus by Targeting YKL-40?

Background: Systemic lupus erythematosus (SLE) is an autoimmune disease with inflammatory nature. One of the leading causes of death in SLE patients is cardiovascular (CVS) morbidity. MiRNA-24 is highly expressed in vascular endothelial cells (VECs). This dysregulated expression pattern is associated with dysfunction or even damage of VECs and leads to the occurrence of cardiovascular diseases

Artificial Intelligence
Healthcare
Circuit Theory and Applications