Results 51 to 60 of about 12,594 (165)
Proteins: Structure, Function, and Bioinformatics, EarlyView.ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.An energy‐conserving discrete framework for the vertical discretisation of stratified ocean models is developed using internal gravity‐wave theory. A β$$ \beta $$‐indexed family of schemes is analysed through perturbation theory, revealing optimal parameter choices and grid designs that reduce truncation errors significantly.
Gabriel Derrida +3 more
wiley +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This article proposes a distributed resilient control framework to ensure consensus tracking for nonlinear heterogeneous multi‐agent systems (NHMAS) under aperiodic denial‐of‐service (DoS) attacks. First, a resilient observer is introduced to estimate the leader's state considering that not all agents have direct access to the leader's ...
Li Liu, Bing Yan, Junkang Ni, Peng Shi
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International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe +3 more
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Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
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Alkali Chalcogenido Dialuminates A 6[Al2 Q 6] (A = K, Rb, Cs; Q = S, Se, Te)
Zeitschrift für anorganische und allgemeine Chemie, EarlyView.Seven new alkali chalcogenido aluminates A6[Al2Q6] (A = K‐Cs, Q = S‐Te) complement the family of simple metallates(III) A6[M2Q6] (M = Al‐In, FeIII) with dinuclear anions of two edge sharing [AlQ4] tetrahedra. Despite the similar anions, straightforward bonding situation and physical properties, these metallates crystallize in seven different structure ...
Michael Schwarz +2 more
wiley +1 more source
Dy2 Schiff Base Single Molecule Magnet Forming a Halogen Bonding Network: Experiment and Theory
Zeitschrift für anorganische und allgemeine Chemie, EarlyView.A major challenge to improve SMMs is control over phonon‐based relaxation mechanisms, such as the Raman process. We approach this challenge through the incorporation of intermolecular interactions, which can restrict acoustic phonon modes. For this, we engineer the crystal lattice of a Dy2 SMM using halogen bonding and investigate its properties using ...
Jonas Braun +7 more
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Zeitschrift für anorganische und allgemeine Chemie, EarlyView.The isolation and solid‐state structures of the two disulfate‐containing pnictogenates [SeCl3][Pn(S2O7)2] (Pn = Sb, Bi), as well as the mixed‐anionic As2[S2O7]2[S3O10] are presented. The former two consist of complex ∞1{[Pn(S2O7)1/1t(S2O7)2/2e]‐}$$ {\infty }^{1}\left\{{\left[\mathrm{Pn}{\left({\mathrm{S}}_{2}{\mathrm{O}}_{7}\right)}_{1/1}^{\mathrm{t}}{\
Jan Langwald +5 more
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source