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Role of TGF-β1 and C-Kit Mutations in the Development of Hepatocellular Carcinoma in Hepatitis C Virus-Infected Patients: in vitro Study

Transforming growth factor beta (TGF-β) acts as a tumor-suppressing cytokine in healthy tissues and non-malignant tumors. Yet, in malignancy, TGF-β can exert the opposite effects that can promote proliferation of cancer cells. C-Kit plays a prominent role in stem cell activation and liver regeneration after injury. However, little is known about the cross-talk between TGF-β and C-Kit and its role

Artificial Intelligence

Memristor FPGA IP core implementation for analog and digital applications

Exploring the nonlinear dynamics of the memristors is essential to be adequately used in the applications. Realizing memristor on FPGAs as an intellectual property (IP) core offers a flexible platform to realize different models. In the literature, few implementations have been proposed for simple and limited memristor model. In this brief, two discrete and continuous versatile memristor models

Circuit Theory and Applications

Deep Ensemble Learning for Skin Lesion Classification from Dermoscopic Images

Skin cancer is one of the leading causes of death globally. Early diagnosis of skin lesion significantly increases the prevalence of recovery. Automatic classification of the skin lesion is a challenging task to provide clinicians with the ability to differentiate between different kind of lesion categories and recommend the suitable treatment. Recently, Deep Convolutional Neural Networks have

Artificial Intelligence

Deep convolutional encoder-decoders with aggregated multi-resolution skip connections for skin lesion segmentation

The prevalence of skin melanoma is rapidly increasing as well as the recorded death cases of its patients. Automatic image segmentation tools play an important role in providing standardized computer-assisted analysis for skin melanoma patients. Current state-of-the-art segmentation methods are based on fully convolutional neural networks, which utilize an encoder-decoder approach. However, these

Artificial Intelligence

Synthesis of a family of differential cross-coupled oscillators and design application

A new class of differential oscillators comprising ten possible circuits is introduced in this work. Half of the members of this family are LC-based oscillators and the other half are RC-based ones. While all oscillators are second-order, a maximum of four resistors was imposed as a restriction on possible oscillators that belong to the proposed architecture. Only two of the found oscillators are

Circuit Theory and Applications

Fractional Order Two Degree of Freedom PID Controller for a Robotic Manipulator with a Fuzzy Type-2 Compensator

In this paper a novel strategy for the position control and trajectory tracking of robotic manipulators is proposed. This strategy consists of an independent two degree of freedom PID controller for a two links robotic arm. Due to the capability of two degree of freedom PID controllers to deal with disturbances, each link is controlled independently considering that the disturbance does not affect

Artificial Intelligence
Circuit Theory and Applications
Mechanical Design

A Novel Vehicle Detection System

Histogram of oriented gradient (HOG) feature has been widely used in vehicle detection. In this paper, a modified version of HOG is proposed by introducing compass gradient into the HOG calculation. Three different versions of the modified HOG features are used as an input for linear and nonlinear support vector machine (SVM). The modified HOG variants proved to have better classification

Artificial Intelligence

Using Molecular Fingerprints as Descriptors in Toxicity Prediction: A Survey

During humans' lifetime, their bodies deal with different chemicals through various sources. Chemical toxicity is a challenging problem that needs rapid and efficient methods for evaluation of environmental chemicals, or medications development. Computer science helps in toxicity prediction through building models from pre-tested compounds by learning from data. These models raise a flag to avoid

Artificial Intelligence

Conical and cylindrical metallic nanoparticles design for plasmonic photovoltaics enhancement

Plasmonic Photovoltaics are considered as a promising candidate for enhancing the optical absorption by embedding metallic nanoparticles that confine the incident light in the cell. This results in thin-film PVs with improved efficiency. In this paper, the effects of embedding both conical and cylindrical metal nanoparticles in plasmonic PVs are investigated. The extinction cross sections for

Circuit Theory and Applications

Cyber Threats and Policies for Industrial Control Systems

Modern Industrial Control Systems (ICS) are very important in our life as we use information and communication technology (ICT) to manage, monitor and improve ICS usage. This continually exposes it to new threats due to the vulnerabilities and architectural weaknesses introduced by the extensive use of ICT. Different types of ICSs have common attacks in which these attacks are very sophisticated

Artificial Intelligence