BURA Collection:

A comprehensive review on relay-assisted state estimation in networked systems: architectures, algorithms, and challenges

Tue, 17 Mar 2026 00:00:00 GMT

Title: A comprehensive review on relay-assisted state estimation in networked systems: architectures, algorithms, and challenges Authors: Wang, Z; Wang, Z; Liu, Q; Yang, S-H; He, X Abstract: Relay-assisted transmission has emerged as an effective means to enhance communication reliability and extend transmission range in networked systems. Integrating relay mechanisms into state estimation architectures can significantly enhance both accuracy and stability in remote and resource-constrained environments. This paper provides a comprehensive review of relay-assisted state estimation (RASE) for networked systems. First, the fundamental architectures of relay-assisted networks are formalised, and commonly used relay protocols are introduced including their mathematical models, engineering insights and multi-dimensional comparison. Then, the influence of relays on system performance is analysed and mainstream filtering algorithms in the relay-assisted context are compared, followed by a general workflow of RASE. Subsequently, state estimation algorithms developed for relay-assisted systems are systematically surveyed, covering nonlinear systems, complex dynamical networks, and several representative special system classes. Furthermore, the paper reviews RASE methods addressing key network-induced phenomena. They typically include fading channels, communication delays, and packet losses. Issues related to energy management and security are also discussed, such as energy harvesting, power scheduling, eavesdropping, and denial-of-service attacks. Finally, the paper summarises current research progress and highlights several open problems and promising directions for future investigation. The review aims to provide a structured reference and insights for researchers working on relay-assisted estimation in large-scale cyber-physical systems. Description: Data availability statement: Data will be made available on reasonable request.

Domain-Level Interaction of FAP174 (MYCBP-1) and FAP147 (MYCBPAP) Proteins of the C2a Projection of Chlamydomonas Cilia

Sun, 22 Feb 2026 00:00:00 GMT

Title: Domain-Level Interaction of FAP174 (MYCBP-1) and FAP147 (MYCBPAP) Proteins of the C2a Projection of Chlamydomonas Cilia Authors: Desai, S; Pal, A; Nair, H; Dantu, SC; D’Souza, JS Abstract: The C2a projection of the central pair of flagella in Chlamydomonas reinhardtii harbours the A-kinase anchoring protein FAP65, FAP174, FAP147 and FAP70. FAP174, an RII-like protein with its N-terminal dimerization and docking domain, binds to the amphipathic helices of FAP65. Cryo-EM data do not reveal the entire sequences for FAP174 and FAP147. Hence, the interacting domains within this scaffold remain elusive. This study has identified the interacting domains of FAP174 with FAP147. The FAP147 protein and its MYCBPAP domain (129–639 a.a.) bind to the C-terminus of FAP174 (47–92 a.a.). In silico docking analyses using CABS-Dock to delineate the interaction identified several MYCBPAP-derived peptides, such as p3 (310–339), p4 (319–348), p9 (547–576), p13 (528–557) and p15 (350–379), to form stable interacting complexes with RMSD < 3 Å 2–3 times, and are potentially amphipathic. To gain atomistic details of the interaction, molecular dynamics (MD) simulations of the FAP147 MYCBPAP domain in complex with the FAP174 C-terminus were performed. It revealed stable interfacial contacts, a subset of which overlap with residues within the p15 peptide region of the MYCBPAP domain, while identifying G48, S49, P52, Y55, L79, Q80 and V83 as key interacting residues within the C-terminus of FAP174. Individual alanine substitution of the FAP174 residues, followed by overlay assay with FAP147, retained the interaction, indicating that the interaction does not depend solely on discrete amino acids but on broader interface interactions.

VR-Deform: Real-Time Visual and Haptic Interaction with Deformable Bodies using XPBD in Virtual Reality

Thu, 01 Jan 2026 00:00:00 GMT

Title: VR-Deform: Real-Time Visual and Haptic Interaction with Deformable Bodies using XPBD in Virtual Reality Authors: Zhou, M; Aburumman, N; Li, Z; Raisamo, R Abstract: ... Description: ...

Exploring Student Anxiety and Experience in Performance-Based Assessments using AIvaluate: An LLM-Augmented Emotionally Intelligent Pedagogical AI Conversational Agent

Thu, 01 Jan 2026 00:00:00 GMT

Title: Exploring Student Anxiety and Experience in Performance-Based Assessments using AIvaluate: An LLM-Augmented Emotionally Intelligent Pedagogical AI Conversational Agent Authors: Yusuf, H; Money, A; Daylamani-Zad, D Abstract: ... Description: ...