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    Agent-Based Reactive Geographic Routing Protocol for Internet of Vehicles by Mazouzi, Mohamed

    Published 2023
    “…In this paper, we first propose a novel lightweight location service that permits to discover all the geographical paths between two vehicles based on smart mobile agents. Second, we proposed ARGENT an Agent-Based Reactive Geographic Routing Protocol that couples the routing process with the novel lightweight location service. …”
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    Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

    Published 2022
    “…</p><p dir="ltr">Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex: Frontiers in Molecular Biosciences: <a href="https://dx.doi.org/10.3389/fmolb.2022.1018464" rel="noreferrer" target="_blank">https://dx.doi.org/10.3389/fmolb.2022.1018464</a>, published online 19 October 2022.…”
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    ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles by Mazouzi, Mohamed

    Published 2023
    “…Then, we present an Agent-Based Proactive Geographic Routing Protocol called ARDENT to route data packets with reduced delay and higher delivery ratio. …”
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    Competition vs cooperation: An agent based model for sustainable tomatoes’ import system by Sarah Namany (17268922)

    Published 2024
    “…Interactions between trade partners are modeled using two game theoretic approaches counting<u> Cournot</u><u> competition</u> and <u>Cartel</u> collusion. Based on the research findings, a competitive global market can bring economic benefits to Qatar as an importing nation, but this approach also entails substantial <u>water consumption</u> and results in significant environmental emissions. …”
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    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

    Published 2024
    “…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. …”
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    Studying Dynamics of Multi-Agent Learning in Networks by SADLAH, SIMA IBRAHIM ABDEL KARIM

    Published 2012
    “…Observations post to each case study have been made and key results have been formulated based on them. The result of the study showed that different parameters used in a network for example, (size of the network, time and interaction period between agents) have significant effect on the behavior of the artificial network. …”
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    Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

    Published 2019
    “…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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    Dual-labeled trastuzumab-based imaging agent for the detection of human epidermal growth factor receptor 2 overexpression in breast cancer by Sampath, Lakshmi

    Published 2007
    “…In this work, we exploited the extracellular binding property of trastuzumab, a clinically therapeutic monoclonal antibody to the second member of the HER family (HER2), to design a diagnostic imaging agent, (111In-DTPA)n-trastuzumab-(IRDye 800CW)m, that is dual labeled with 111In, a γ-emitter, and a near-infrared (NIR) fluorescent dye, IRDye 800CW, to detect HER2 overexpression in breast cancer cells. …”
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    Evaluation of light-activated Ru(II) prodrugs and their photoproducts as potential anti-cancer agents by Elias, Maria

    Published 2020
    “…The current study evaluates light-activated ruthenium prodrugs and their photoproducts as potential anti-cancer agents. The complexes being investigated are: [Ru(bpy)2phen]Cl2 (unstrained), [Ru(bpy)2BC]Cl2, [Ru(bpy)2dpphen]Cl2. …”
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    Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks by Ahmed , Abdelrahman

    Published 2020
    “…In this paper, we propose an objective framework for modeling agent productivity for real estate call centers based on speech signal processing. …”
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    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

    Published 2025
    “…<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable support to situation-awareness IoT applications, such as surveillance, traffic management, and emergency response. …”
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    A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications by Ameni Boumaiza (19160734)

    Published 2024
    “…This study suggests executing such a testing within a framework that integrates a Geographic Information System (GIS) environment with an Agent-Based Modeling (ABM) simulation platform. The application of this testing framework to a case study of solar Photovoltaic (PV) energy trade among household peers in in Doha, Qatar, shows how the integration of the GIS environment offers a detailed analysis of transactions in local housing community markets. …”
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    A Principal-Agent Approach for the Effective Design of a Renewable Energy Incentive for a Heavily Subsidized Residential Sector: The Case of Qatar by Sikandar Abdul Qadir (17947799)

    Published 2023
    “…The effectiveness of imposing regulatory measures that aim to reduce consumption, such as carbon pricing and rebates, depends on the design of the introduced policy, region dynamics, and population characteristics. Using principal-agent theory, this study addresses the agency problem between the government and households by proposing a policy that aims to incentivize households to shift towards renewable energy sources and reduce their overall energy demand. …”
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    Bond Strength Development of Ambient-Cured Sustainable Geopolymer Mortar to Concrete Substrate by Abdullah Y. Osman (22282813)

    Published 2025
    “…Nevertheless, the bond strength degraded dramatically when the bonding agent was applied to the concrete substrate. The SEM and roughness analyses were valuable techniques employed for interpreting the unexpected effect of the bonding agent on the bond strength between the FA/GGBS-based geopolymer mortar and concrete substrate.…”