Conventional fixed-universe fuzzy controllers suffer from an inherent resolution bottleneck. Large errors induce sluggish transient response, while small errors cause persistent steady-state oscillation. This trade-off has long hin dered high-precision industrial control. This paper proposes a variable-universe fuzzy PD-type integrated (VUFPD) controller that resolves this dilemma through error-and error-rate-driven adaptive contraction-expansion factors (CEFs). Unlike existing variable-universe architectures that rely on complex integral adaptation laws and numer ous tuning parameters, the proposed scheme eliminates all integral actions and reduces the controller to a single tunable gain, substantially simplifying practical deployment. Theoretically, we establish sufficient conditions for uniform ultimate boundedness of the tracking error and prove global asymptotic stability under mild assumptions. Furthermore, we extend the stability framework to systems subject to parametric uncertainties, Gaussian mea surement noise, and time-varying external disturbances, introducing a quantitative robust convergence radius as a tractable performance metric. Comprehensive simulations on linear, unstable, chaotic, non-smooth nonlinear, and heterogeneous multi-agent systems demonstrate that the VUFPD controller reduces settling time by 69%-99% while maintaining near-zero overshoot compared with state-of-the-art methods. Dedicated robustness tests under compounded disturbances, including parameter drift, sensor noise, and periodic loads-further confirm strong steady-state noise suppression and load-rejection capability without actuator saturation. The proposed controller establishes a unified, low-complexity intelligent control framework that simultaneously achieves high transient speed, high steady-state precision, and robust industrial applicability.
Hydrogen production via alkaline water/seawater electrolysis is pivotal for sustainable energy conversion, yet remains impeded by the sluggish kinetics of the oxygen evolution reaction (OER) and severe anodic corrosion induced by chloride ions (Cl-). Herein, we rationally design a NiCr-LDH/CeO2 heterostructure synthesized via a one-step electrodeposition strategy. CeO2 effectively modulates electrochemical reconstruction triggered by Cr leaching and re-adsorption, as it serves as an "oxygen and electron buffer". This modulation strengthens the metal-oxygen covalent bond and structural stability, establishing the rapid and sustainable OER process via the lattice oxygen oxidation mechanism. Furthermore, the Lewis acid property of CeO2 enhances OH- adsorption capacity, while synergizing with the adsorbed CrO4 2- layer to electrostatically repel corrosive Cl- within the Helmholtz layer, endowing NiCr-LDH/CeO2 with robust corrosion resistance. Consequently, NiCr-LDH/CeO2 achieves ultralow overpotentials of 211 and 217 mV at 10 mA cm-2 in alkaline water and simulated seawater, respectively, with robust long-term stability at industrially relevant current density. This work elucidates the structure-activity relationships in heterostructured catalysts, providing a viable strategy to unlock superior intrinsic activity and corrosion resistance in water/seawater oxidation electrocatalysts. (c) 2026 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
Short carbon fiber-reinforced polymer (SCFRP) composites exploit the intrinsic conductivity of the carbon fiber network for self-sensing, yet no predictive model couples their anisotropic, rate-dependent fracture to piezoresistive damage identification. This work presents a finite deformation multiphysics phase-field framework coupling a viscoelastic-viscoplastic constitutive model, an anisotropic crack resistance formulation, and a piezoresistive conductivity model. The three sub-problems are unified through the second-order fiber orientation tensor, which simultaneously defines fiber family directions, crack resistance anisotropy, and principal conduction paths of the carbon fiber network. A damage-coupled conductivity tensor captures both strain-driven geometric-kinematic resistance changes and irreversible network severance driven by the phase-field variable. The framework is coupled to an eight-electrode electrical impedance tomography configuration, and the normalized inter-electrode conductance ratios serve as inputs to a feedforward artificial neural network that infers normalized crack length and mechanical compliance without mechanical sensing. The network achieves R2 = 0.99 on held-out configurations, confirming generalization across the microstructure space. The framework establishes a physics-based, computationally efficient route for real-time structural health monitoring and inverse damage assessment in SCFRP composites.
In this paper, we investigate cyclic vectors of S & lowast; on the full Fock space. First, we extend the Douglas-Shapiro-Shields factorization to the full Fock space and apply it to characterize the symbol phi for which H phi is injective. Second, we show that the Champernowne sequence is a necessary condition for cyclic vectors of S & lowast;, and we completely characterize cyclic vectors by Douglas-Shapiro-Shields factorization. Finally, we examine cyclic sets on model spaces. (c) 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
The mud crab Scylla paramamosain is a commercially important euryhaline crustacean, yet the long-term hepatopancreatic response to low salinity remains largely uncharacterized. Adult mated females were exposed to (30, 15, and 5 ppt) salinity for 40 days, and hepatopancreatic responses were assessed using integrated histological, biochemical, transcriptomic, metabolomic, and lipidomic analyses. Low salinity exposure inhibited growth and survival and caused progressive hepatopancreatic injury, from lumen dilation at 15 ppt to severe vacuolization, basement-membrane disruption, and haemocyte infiltration at 5 ppt. Salinity stress elevated superoxide dismutase activity and reduced malondialdehyde content, whereas total protein declined, suggesting antioxidant activation and protein mobilization to meet energetic demands. Transcriptomic and gene set enrichment analyses showed coordinated activation of oxidative phosphorylation, the tricarboxylic acid cycle, ribosome, and proteasome pathways, together with sustained cytochrome p450 and UDP glucuronosyltransferase mediated detoxification. Steroid biosynthesis was selectively suppressed under low salinity. Metabolomic profiling shifted with salinity level, from nutrient-sensing signaling and amino-acid metabolism at 15 ppt to AMPK and HIF-1 signaling, the tricarboxylic acid cycle, and nucleotide metabolism at 5 ppt. Lipidomic evidence revealed extensive glycerophospholipid and cardiolipin remodeling, linking membrane adaptation with mitochondrial energy metabolism. Integrated analysis identified glycolysis/gluconeogenesis as the only significantly co-enriched pathway at 5 ppt, with pyruvate emerging as a key node linking glycolysis and the TCA cycle in the integrated network. Overall, prolonged low-salinity exposure compromises hepatopancreatic integrity while activating coordinated energy mobilization, membrane remodeling, and detoxification responses that support osmotic adaptation in female mud crabs.
