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Development of low-density AlNbTaTiZr refractory high-entropy-intermetallic-alloy: Microstructural evolution, mechanical properties, and high-temperature deformation

This study investigates the structural evolution, mechanical properties and high-temperature performance of a novel low-density refractory high entropy intermetallic alloy (RHEIA); Al12Nb25.5Ta8.5Ti27.5Zr26.5. The alloy was prepared by vacuum arc melting, homogenized and subjected to various heat treatments at 600°C, 800°C and 1000°C. The resulting microstructure was revealed using scanning

Circuit Theory and Applications
Mechanical Design

Innovative approaches to metabolic dysfunction-associated steatohepatitis diagnosis and stratification

The global rise in Metabolic dysfunction-associated steatotic liver disease (MASLD)/Metabolic dysfunction-associated steatohepatitis (MASH) highlights the urgent necessity for noninvasive biomarkers to detect these conditions early. To address this, we endeavored to construct a diagnostic model for MASLD/MASH using a combination of bioinformatics, molecular/biochemical data, and machine learning

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications

Analysis of plasmonic nanoparticles effects on the performance of perovskite solar cells through surface recombination and short-circuiting behaviors

Plasmonic photovoltaics integrate nanoparticles into the active layer to enhance power absorption. However a gap exists between simulated and experimental IV characteristics. Fabrication studies have attributed the issues to fabrication resolution, and recombination with no detailed step-by-step characterization. To address this issue, the paper presents a comprehensive optical and electrical

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Mechanical Design

Hands-on analysis of using large language models for the auto evaluation of programming assignments

The increasing adoption of programming education necessitates efficient and accurate methods for evaluating students’ coding assignments. Traditional manual grading is time-consuming, often inconsistent, and prone to subjective biases. This paper explores the application of large language models (LLMs) for the automated evaluation of programming assignments. LLMs can use advanced natural language

Artificial Intelligence
Circuit Theory and Applications

Development of hepatocellular carcinoma organoid model recapitulating HIF-1A metabolic signature

Hypoxia is one of the main hallmarks of hepatocellular carcinoma (HCC) resulting from improper oxygenation and insufficient nourishment of the HCC microenvironment. The effect of hypoxia is mediated by hypoxia-inducible factor-1A (HIF-1A) via targeting various downstream pathways, including glycolysis, angiogenesis, and survival signaling. However, HCC cell lines in a 2-dimensional (2D) setting do

Circuit Theory and Applications

Review and novel contributions to amplifier-based oscillator design

This paper reviews amplifier-based oscillator topologies and introduces new ones while reporting all possible circuits that can be obtained from some of them using exhaustive searching. Second-order as well as third-order RC and RLC oscillators are reported and selected circuits are designed and experimentally verified. Incorporating non-ideal and nonlinear effects into the modeling of these

Circuit Theory and Applications
Mechanical Design

Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing

Background: Hepatocellular carcinoma (HCC) is the most common primary liver cancer. Chronic hepatitis and liver cirrhosis lead to accumulation of genetic alterations driving HCC pathogenesis. This study is designed to explore genomic landscape of HCC in Egyptian patients by whole exome sequencing. Methods: Whole exome sequencing using Ion Torrent was done on 13 HCC patients, who underwent surgical

Healthcare
Circuit Theory and Applications
Software and Communications
Agriculture and Crops
Mechanical Design

Robust data-driven dynamic model discovery of industrial robots with spatial manipulation capability using simple trajectory

Industrial standard model-based controllers need an accurate dynamic model to perform reliably. The classical technique for dynamics modeling of industrial robots relies on deriving the closed-form dynamic equations and then identifying the inertial parameters on the assumption that all the kinematic and geometric details of the robot are known. This study extends the recently developed data

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Investigation on microstructures, mechanical properties, and corrosion behavior of novel biodegradable Zn-xCu-xTi alloys after hot rolling fabricated by self-developed newly gradient continuous casting

The poor mechanical properties exhibited by pure Zn effectively prohibit its utilization as a viable material for biodegradable implants. Hence, the primary area of interest has been directed towards alloy design and process strategies of biodegradable Zn alloys. To this end, novel biodegradable Zn-xCu-xTi (Cu: x = 0.001–2.72 and Ti: x = 0.03–1.21) alloys were designed and fabricated using a

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Agriculture and Crops
Mechanical Design

Correction to: Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing (BMC Medical Genomics, (2024), 17, 1, (202), 10.1186/s12920-024-01965-w)

Tables 2, 3, and 6, as shown in the original publication, were modified to black and white during the typesetting process. Following the publication, the authors requested that the tables be reverted to their original-colored versions, as the colors in the heatmap indicate the number of pathogenic variants present in genes. Green indicates the smallest number, and red indicates the highest number

Healthcare
Circuit Theory and Applications