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Anomalous Solubility-Inverted Behavior of LiPF ₆ in Glyme Ether Solvents for High-Voltage Electrochemistry

Resilient fixed-order damping controller for low-frequency inter-area oscillations in power systems under communication failures

Abstract Low-frequency inter-area oscillations (LFOs) pose a critical challenge to small-signal stability, affecting the reliable operation of interconnected power systems. These oscillations can reduce tie-line power transfer capability and weaken overall system performance. This paper proposes, for the first time, a robust fixed low-order two-input single-output (TISO) damping controller based on dual wide-area signals to mitigate the effects of communication failures and time delays on system stability. Inter-area modes can be effectively observed from multiple locations and controlled from a single point, which motivates the use of a wide-area damping controller (WADC). Communication failures and time delays are important challenges in wide-area control, and delays are modeled using the Padé approximation. The controller is designed by optimizing key performance measures, such as the $$H_{\infty }$$ norm, spectral abscissa, and complex stability radius, to improve the robustness and stability of the system under uncertain conditions. The proposed controller improves system resilience by using the two most observable wide-area signals associated with critical inter-area modes. Kundur’s 11-bus system and the IEEE 39-bus test system are used to validate the proposed method. Simulation results show that the controller effectively improves the damping of inter-area oscillations under normal conditions and maintains stable performance even in the presence of communication failures and delays.

A Rhodium-Catalyzed Cyclization of Sulfonimidamides and Sulfondiimidamides: Synthesis and Exploration of Chiral Aromatic Heterocycles

The relationship between multidimensional parenting practices and oral health status, oral health behaviours, and dental anxiety in a regional Turkish paediatric population

Phase Engineering of Fe-Polyoxometalate Sub-1 nm Assemblies for High-Efficiency Photoelectrocatalytic Nitrogen Reduction

Integrative bioinformatic and in vitro analysis identifies putative lipid metabolism-associated RAGE network components in murine adipocyte senescence

Interfacial Donnan Hydration Funnels in Lignin-Derived Carbon Orchestrate RuNi Synergy for Aldehyde-Assisted Dual-Hydrogen Electrosynthesis

Expertise-driven differences in drummers’ wrist-muscle motor unit behaviour

Structure–Property Relationships to Guide the Selection of Fluorinated Ethers for Li–S Batteries

Palm oil fuel ash blended cement for solidification stabilization of petroleum sludge and heavy metal immobilization and waste valorization

Anionic Passivation Enables Reconstruction-Free Seawater Electrolysis

Abstract Nonoxide electrocatalysts hold great promise for high-efficiency seawater oxidation, yet their practical application is hindered by the inevitable surface reconstruction and pronounced corrosion under high anodic potentials. Herein, we solve this longstanding challenge by developing a rational anionic ligand passivation strategy that stabilizes phosphide lattices against oxidative degradation while preserving inherent electrocatalytic activity. Leveraging Lewis acid–base interactions, we grow an ultrathin, undercoordinated TiOx overlayer on a FeNiP (FNP) support. This overlayer withdraws electrons from lattice phosphorus, downshifts the P p-band center, and thermodynamically stabilizes the entire anionic sublattice against oxidative leaching. The oxidation-resistant scaffold further enables the anchoring of atomically ordered Ir arrays with a well-defined interatomic spacing of ∼2.8 Å, promoting direct O–O radical coupling via the oxide pathway mechanism and effectively circumventing the corrosive lattice oxygen route. Operando spectroscopy and 18O isotope tracing confirm fully reconstruction-free OER behavior with negligible lattice oxygen participation. The as-developed TiIr@FNP catalyst achieves ultralow overpotentials (only 310 mV at 1 A cm–2), operates stably for over 1200 h in alkaline seawater, and maintains near-unity Faradaic efficiency. The work demonstrates a generalizable strategy for designing durable, high-performance nonoxide anodic electrocatalysts under industrially relevant conditions.

Usability and feasibility of Mai 20, a user-centered mHealth App for secondary stroke prevention in China: mixed methods study

Adaptive Fabrication of Porous Crystals through Multiple-Site Noncovalent Conjunction of [1,4]Diazocine-Embedded Three-Dimensionally Concave Nanographenes

Numerical investigation and optimization of structural and operating parameters for cuttings transport in a bidirectional eccentric micro-underreamer

Deep learning-enhanced graphene metasurface terahertz absorber for real-time multi-gas identification and quantification

Allosteric inhibition of EGFR triple-mutant (L858R/T790M/C797S) in non-small cell lung cancer: an integrative conformational dynamics framework

Blood DNA methylation at AMD candidate loci in discordant monozygotic twins

Abstract Age-related macular degeneration (AMD) is a leading cause of visual impairment in older adults, with both genetic and environmental factors contributing to disease risk. Epigenetic mechanisms, particularly DNA methylation, may mediate the effects of environmental exposures on disease-relevant genes, yet their role in AMD remains poorly understood. To investigate blood DNA methylation differences associated with AMD severity, we studied 29 monozygotic twin pairs discordant for AMD from the Finnish Twin Cohort. This design controls for genetic background, sex, age, and shared early-life environment. Genome-wide DNA methylation was measured in whole blood using the Illumina HumanMethylation EPIC BeadChip. Analyses were restricted to 263 AMD candidate genes identified through prior genetic, epigenetic, and transcriptomic studies. Of 9,694 analyzed CpG sites, one site within ESYT1 reached statistical significance after multiple testing correction, but the corresponding methylation difference was below our predefined threshold for biological relevance. No CpG sites met both statistical and biological significance criteria. These findings do not provide evidence for large, systemic DNA methylation differences in peripheral blood at established AMD loci, though subtle effects below the detection limit of the current sample size cannot be excluded.

A deep reinforcement learning account of competition and integration of visual and goal vector signals for spatial navigation

Abstract Integrating different sources of information is essential to successful spatial navigation. For instance, animals often rely on a combination of visual impressions, self-motion, olfaction, and other signals to navigate towards a goal. This is especially important when navigating in uncertain environments, where switching from one source of information to another or integrating multiple sources of information may be required to make navigation decisions. We propose a deep reinforcement learning model of the interaction of visual and goal-vector signals based on reinforcement learning and use it to study behavior and spatial representations. We show that the nature and degree of signal noise strongly influences how the signals drive behavior and spatial representations. Our model also demonstrates that the ability to navigate using each information source independently, in addition to integrating them, is crucial to successfully navigating in uncertain environments. Counterintuitively, our model shows that when one of the signals is removed, navigation may be improved if the remaining signal is reliable and sufficient to navigate. However, this improvement comes at the expense of robustness. Our modeling results demonstrate that combining redundant sources of information in biological systems is far more complex than suggested by sensor fusion in the engineering context.

Synthesis and characterization of polycitric acid-functionalized MXene nanofluid for enhanced oil recovery

Decoupling of expansive and structural growth induced by β-aminobutyric acid (BABA) is associated with metabolic reconfiguration in linseed (Linum usitatissimum L.)