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An eco-concerned development of a fast, precise and economical spectrophotometric assay for the antiviral drug simeprevir based on ion-pair formation

Simeprevir sodium (SMV) is one of the antiviral drugs used for the treatment of virus C. The current strategy develops and validates a new eco-concerned tool for its quantification in the pure and pharmaceutical formulations. Sulfonephthalein acid dyes were used for this purpose, applying visible analyses based on ion-pair formation. A linear relation between the absorbed signal and the drug

Healthcare
Innovation, Entrepreneurship and Competitiveness

Quad-Port UWB MIMO antenna based on LPF with vast rejection band

This manuscript introduces orthogonally polarized quad-element multi-input multi-output (MIMO) antenna with improved isolation. The proposed design of a miniaturized volume of 43 × 43 × 1.5 mm3 covers vast impedance bandwidth more than 17.85 GHz commences at 2.15 GHz to more than 20 GHz, corresponding to reflection coefficient below – 10 dB. A quad-port low-pass filter (LPF) with a very wide

Bivariate Double Density Discrete Wavelet for Enhanced Image Denoising

Image denoising is of paramount importance in image processing. In this paper, we propose a new design technique for the design of Double density Discrete Wavelet Transform (DD DWT) AND DD CWT filter bank structure. These filter banks satisfy the perfect reconstruction as well as alias free properties of the DWT. Next, we utilized this filter bank structure in image denoising. Our denoising scheme

Artificial Intelligence
Software and Communications

Vehicle Software Update over ICN Architectures

The Internet Protocol (IP) architecture could not fully satisfy Vehicular Ad-hoc Networks (VANETs) needed efficiency due to their dynamic topology and high mobility. This paper presents a technique to update the software of Electronic Control Units (ECUs) in vehicles using Information Centric Network (ICN) architecture. The proposed technique replaces Flashing Over The Air (FOTA) using IP with

Artificial Intelligence

Early breast cancer diagnostics based on hierarchical machine learning classification for mammography images

Breast cancer constitutes a significant threat to women’s health and is considered the second leading cause of their death. Breast cancer is a result of abnormal behavior in the functionality of the normal breast cells. Therefore, breast cells tend to grow uncontrollably, forming a tumor that can be felt like a breast lump. Early diagnosis of breast cancer is proved to reduce the risks of death by

Software and Communications

General Trans-Compiler based Mobile Applications Converter

Deployment on different platforms has been a great issue for mobile companies that aim to maximize the return on investments by making their mobile applications available on different mobile platforms. Consequently, the app may be developed several times to match different platforms. Therefore, there is a need to have solutions that enable the developers to develop the app once, and run it

Artificial Intelligence

Securing Hardware from Malicious Attacks

Hardware security is considered a major design and manufacturing target area with a broad range of research and development topics such as protection of intellectual property (IP), metering of hardware, detection of hardware Trojans, and a lot of other topics. This paper discusses Trojan realization in integrated circuits (ICs), as well as the possible security measures, also exploring the usage

Artificial Intelligence

Utilization of Machine Learning In RTL-GL Signals Correlation

Verification is an important part of the Electronic Design Automation (EDA) design flow which currently takes a considerable amount of time. During the synthesis process, Different optimizations are done to the Register-Transfer-Level (RTL) code to optimize the power, area, and speed of the circuit. These optimizations result in changes in the names of signals at the gate level. Automatic signal

Artificial Intelligence

Stochastic modeling of mushroom—waveguide photodetectors

Waveguide photodetectors (WGPDs) are one of the promising candidates to solve the tradeoff between the quantum efficiency and the transit time in the surface illuminated photodiodes where the lightwave is incident laterally perpendicular to the direction of the flow of generated carriers, enhancing both high speed and quantum efficiency. In Mushroom-WGPDs, the performance degradation due its

Circuit Theory and Applications
Innovation, Entrepreneurship and Competitiveness

Studying Genes Related to the Survival Rate of Pediatric Septic Shock

Pediatric septic shock is generally considered as a devastating clinical syndrome that can lead to tissue damage and organ failure due to the over exaggerated immune response to an infection. Therefore, in this paper, we attempted to early identify the clinical course of such disease with the aid of peripheral blood T-cells of 181 pediatric patients who admitted to Intensive Care Unit (ICU)

Artificial Intelligence
Healthcare
Innovation, Entrepreneurship and Competitiveness