Publications by authors named "A Zaoui"

Background: Early detection of cancerous tumors is a critical factor in improving treatment outcomes. To address this need, this study explores a simple, effective, and cost-efficient method for early cancer detection by measuring the bioimpedance of living tissues. Bioimpedance-based methods hold significant promise for the early detection of cancerous tumors.

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Article Synopsis
  • Efficient removal of heavy metals from wastewater is crucial for protecting human health and ecosystems, leading to the development of high-performance adsorbents like graphene-based aerogels (GBAs).
  • GBAs are recognized for their unique properties, including a 3D porous structure, high porosity, and exceptional stability, which enhance their ability to remove both harmful and valuable metals from water.
  • The review delves into various synthesis methods for GBAs, their mechanisms for metal removal, and their potential for reuse, emphasizing both traditional adsorption and innovative electrochemical techniques for metal detoxification.
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Cancer remains a global health challenge, necessitating effective treatments with fewer side effects. Traditional methods such as chemotherapy and surgery often have complications. Pulsed electric fields and electroporation have emerged as promising approaches to mitigate these challenges.

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To enhance our understanding of electroporation and optimize the pulses used within the frequency range of 1 kHz to 100 MHz, with the aim of minimizing side effects such as muscle contraction, we introduce a novel electrical model, structured as a 2D representation employing exclusively lumped elements. This model adeptly encapsulates the intricate dynamics of living cells' impedance variation. A distinguishing attribute of the proposed model lies in its capacity to decipher the distribution of transmembrane potential across various orientations within living cells.

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Despite III-nitride and silicon carbide being the materials of choice for a wide range of applications, theoretical studies on their quaternary alloys are limited. Here, we report a systematic computational study on the electronic structural properties of (SiC) (AlN) and (SiC) (AlN) quaternary alloys, based on state-of-the-art first-principles evolutionary algorithms. Trigonal (SiCAlN, space group 3m1) and orthorhombic (SiCGaN, space group mn2) crystal phases were as predicted for = 0.

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