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    PublicationMetadata only
    Reconfigurable intelligent surface enabled over-the-air uplink NOMA
    (IEEE, 2023) Çelik, Abdülkadir; Arzykulov, Sultangali; Eltawil, Ahmed M.; Department of Electrical and Electronics Engineering; (TBD); N/A; N/A; Başar, Ertuğrul; Kılınç, Fatih; Doğukan, Ali Tuğberk; Arslan, Emre; Faculty Member; Researcher; PhD Student; PhD Student; Department of Electrical and Electronics Engineering; (TBD); College of Engineering; N/A; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; 149116; N/A; N/A; N/A
    Innovative reconfigurable intelligent surface (RIS) technologies are rising and recognized as promising candidates to enhance 6G and beyond wireless communication systems. RISs acquire the ability to manipulate electromagnetic signals, thus, offering a degree of control over the wireless channel and the potential for many more benefits. Furthermore, active RIS designs have recently been introduced to combat the critical double fading problem and other impairments passive RIS designs may possess. In this paper, the potential and flexibility of active RIS technology are exploited for uplink systems to achieve virtual non-orthogonal multiple access (NOMA) through power disparity over-the-air rather than controlling transmit powers at the user side. Specifically, users with identical transmit power, path loss, and distance can communicate with a base station sharing time and frequency resources in a NOMA fashion with the aid of the proposed hybrid RIS system. Here, the RIS is partitioned into active and passive parts and the distinctive partitions serve different users aligning their phases accordingly while introducing a power difference to the users’ signals to enable NOMA. First, the end-to-end system model is presented considering two users. Furthermore, outage probability calculations and theoretical error probability analysis are discussed and reinforced with computer simulation results.
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    PublicationOpen Access
    The structural pathway of interleukin 1 (IL-1) initiated signaling reveals mechanisms of oncogenic mutations and SNPs in inflammation and cancer
    (Public Library of Science, 2014) Nussinov, Ruth; (TBD); Gürsoy, Attila; Özbabacan, Saliha Ece Acuner; Keskin, Özlem; Faculty Member; (TBD); The Center for Computational Biology and Bioinformatics (CCBB); College of Engineering; 8745; N/A; 26605
    Structural pathways are important because they provide insight into signaling mechanisms; help understand the mechanism of disease-related mutations; and help in drug discovery. While extremely useful, common pathway diagrams lacking structural data are unable to provide mechanistic insight to explain oncogenic mutations or SNPs. Here we focus on the construction of the IL-1 structural pathway and map oncogenic mutations and SNPs to complexes in this pathway. Our results indicate that computational modeling of protein-protein interactions on a large scale can provide accurate, structural atom-level detail of signaling pathways in the human cell and help delineate the mechanism through which a mutation leads to disease. We show that the mutations either thwart the interactions, activating the proteins even in their absence or stabilize them, leading to the same uncontrolled outcome. Computational mapping of mutations on the interface of the predicted complexes may constitute an effective strategy to explain the mechanisms of mutations- constitutive activation or deactivation.