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Item Perceived Information Assurance in Conversational Systems(Institute of Electrical and Electronics Engineers Inc., 2026-03-25)Information assurance (IA) in AI-driven conversational systems like ChatGPT remains understudied from a user perception perspective. This study develops and validates a perception-based IA model grounded in key IA pillars - confidentiality, integrity, availability, authenticity, and non-repudiation - and examines the role of digital literacy as an antecedent within an AI conversational context. Using data from 924 participants, we employed a dual-method analytical approach: 1) Partial Least Squares Structural Equation Modeling (PLS-SEM) to test hypothesized relationships;Item Evaluation of Parental Awareness, Attitudes, and Perceptions Regarding Autism Spectrum Disorders in Kuwait(Springer, 2026-03-26)Purpose: This cross-sectional study in Kuwait aims to evaluate parents’ knowledge, attitudes, and beliefs regarding autism spectrum disorders (ASD), with a specific focus on the mediating influence of expertise. Autism spectrum disorder (ASD) it’s a multifaceted neurodevelopmental disease that impacts communication and social interaction. Timely diagnosis and management are essential for enhancing outcomes. Nevertheless, numerous regions, including Kuwait, experience a deficiency in parental knowledge, potentially obstructing early intervention. This study examines the impact of stigma and social awareness activities on parental comprehension, analyzing how these elements influence attitudes and views regarding ASD. Methods: The study employs a structured questionnaire distributed to 500 parents to assess their understanding of autism, exposure to awareness initiatives, and views of stigma. The study was utilizing mediation analysis to investigate how knowledge and perception mediate the interactions among stigma, social awareness initiatives, and parental attitudes. Results: Social awareness initiatives significantly influenced perception (β = 0.684, p < 0.001) and attitude (β = 0.218, p = 0.002), underscoring their role in shaping positive parental views toward ASD. Stigma had a substantial negative impact on attitude (β = -0.459, p < 0.001). However, stigma did not significantly affect perception (β = -0.037, p = 0.338), and the relationship between perception and attitude (β = 0.100, p = 0.132). These findings highlight the critical role of awareness campaigns in reducing stigma and fostering positive attitudes. Conclusion: This study seeks to enhance the understanding and assistance for individuals with autism and Kuwait.Item Quantum-Integrated Deep Learning Framework for Large-Scale Gene Expression Analysis and Predictive Modeling of Parkinson’s and Alzheimer’s disease(Fundacao de Pesquisas Cientificas de Ribeirao Preto, 2026-01-05)Parkinson disease (PD) and Alzheimer disease (AD) are progressive neurodegenerative diseases that are marked by complicated molecular changes and shared pathogenesis. Due to its significant role in the appearance and further evolution of disease, transcriptomic deregulation is quite difficult to measure; the key issue is finding solid molecular signatures among hundreds of gene activity profiles. The objectives of the current research were to isolate differentially expressed genes (DEGs) that are related to PD and AD, as well as to determine their applicability in the classification of the disease with the help of integrative computational methods. Available transcriptomic data in the general population were subjected to the analysis in order to identify important DEGs at the level of statistical providers such as false discovery rate (FDR) adjusted values. The functional enrichment analysis, which consists of Gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis was conducted to determine the biological processes and signalling pathways involved in neurodegeneration. Predictive modelling methods, such as L1/L2-regularised Logistic Regression, Random Forest, XGBoost, Support Vector Machine radial basis function kernel and a hybrid quantum-deep learning model, were then used to analyse the identified gene signatures. Notable DEGs were highly enriched with pathways, which dealt with neuroinflammation, synaptic transmission, mitochondrial dysfunction, and dopaminergic signalling. Analysis of comparative classification revealed that models had strong predictive performances, with the integrative hybrid structure having a better discriminative capacity in the form of better accuracy and area under ROC curve (AUC) than baseline strategies. These results should put into the limelight important transcriptomic phenotypes underlying PD and AD and show how integrative modelling schemes could further improve molecular-based disease prediction. The readings of the identified biomarkers and enriched pathways can help in better early diagnosis and give ideas on the targeted therapeutic strategy in neurodegenerative disorders.Item Dual Function Metasurface(Institute of Electrical and Electronics Engineers Inc., 2026-03-04)With the advent of 6G, Antenna-on-Chip (AoC) is becoming more relevant than ever. However, due to the lossy nature of silicon (Si) in standard chip fabrication processes, these antennas suffer from poor gains and radiation efficiencies. An elegant solution is to incorporate an Artificial Magnetic Conductor (AMC) structure beneath the AoC to isolate the Si substrate. This solution works well for mm-Wave frequencies, however, the AMC is typically a large structure, as compared to the AoC, and is limited to a single function of isolating the Si substrate. Enhancing the functionality of the AMC can optimize the performance of such compact designs, where efficient use of space as well as integration of multiple functionalities is of paramount importance. Therefore, this work explores the potential of employing the AMC as a metasurface (MTS) antenna within the framework of AoC systems. The key focus of this work is to design a dual-functional MTS, which works as an AMC to enhance the gain and radiation efficiency of an AoC at one frequency, and as an independent radiator at another frequency. As a proof of concept, we have shown that an on-chip monopole antenna’s gain and radiation efficiency is enhanced by 5.5 dBi and 20% respectively at 79 GHz through an integrated AMC structure. It is shown that this AMC can be optimized to radiate as an independent MTS antenna through Characteristic Mode Analysis (CMA) with a variety of radiation patterns for various modes. The fabricated prototype demonstrates one of these modes, where the MTS antenna shows a measured peak gain of 4.0 dBi at 94 GHz with a broad boresight radiation pattern.Item Dual-Wideband Metasurface for Polarization Conversion Targetting Integrated 5G and 6G MIMO Communication(2026-02-18)This paper presents the concept of polarization conversion for an integrated 5G and 6G Multiple-Input Multiple-Output (MIMO) antenna system. The design consists of a compact high-gain shared-aperture Vivaldi antenna with a meta-surface for linear-to-circular polarization (LP-to-CP) conversion, enabling operation at 40 GHz (5G) and 105 GHz (6G) bands. The metasurface supports both left-hand circular polarization (LHCP) and right-hand circular polarization (RHCP), achieving AR < 3 dB in the ranges of 38.8-44 (GHz) and 93-107 (GHz), respectively. The proposed configuration provides both dual wideband polarization conversion and spatial diversity (30° incidence angle) in a compact form factor. The initial results show satisfactory performance, making it a strong candidate for future integrated mm-Wave (5G) and sub-THz (6G) communication systems.
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