City University of Hong Kong

Biomass Gas-Thermal Carbonization Process for Producing Blast Furnace Injection Fuel: Energy Consumption–Economy–Carbon Emission Model and Parameter Influence Research

Abstract To quantify the production burden of biochar intended for blast furnace injection, an energy–economy–carbon emission model was developed for biomass gas-thermal carbonization (GTC), coupling steam generation, gas-thermal carbonization, waste-heat predrying, and tail-gas...

Achieving high piezoelectric response and elevated Curie temperature in Sm-modified PMN–PH–PT ceramics: A full-matrix characterization

Abstract Pb-based ferroelectric ceramics face a fundamental trade-off between high piezoelectric response (d33) and low Curie temperature (Tc). Here, we demonstrate that combining Sm-doping with a high-Tc PbHfO3 (PH)-based ternary matrix can effectively shift this balance. A seri...

Evaluating PBE-D3/M06 for copper-catalyzed carbon chemistry: Kinetic barriers and mechanistic insights

Accurate prediction of activation barriers is essential for reliable mechanistic modeling of copper-catalyzed carbon conversion reactions yet remains challenging for conventional density functional theory. Here, we evaluate a hybrid PBE-D3/M06 approach for reaction kinetics on lo...

OpensetCapsNet: A Collaborative Fault Diagnosis Framework for Emerging and Compound Faults of Machinery

Abstract Developing intelligent fault diagnosis (IFD) methods based on deep neural networks has attracted considerable attention and brought successful breakthroughs for industrial applications in recent years. However, the historical IFD methods often concentrate on single diagn...

Epitope-conditioned generation of T-cell receptor β-chain CDR3 candidates using a pre-trained transformer model

Prioritizing T-cell receptor (TCR) candidates for defined peptide-HLA targets is an important step in TCR-based immunotherapy development, but it still relies heavily on laborious and expensive experimental screening. Recent advancements in generative artificial intelligence have...

Deubiquitination of Vangl by USP6 and USP32 Regulates Planar Cell Polarity Signaling

ABSTRACT Planar cell polarity (PCP) signaling is an evolutionarily conserved mechanism regulating polarized cellular and tissue behaviors in diverse morphogenetic and physiological processes. Disruption or aberrant activation of PCP signaling can cause developmental defects or pr...

Conformation‐Locking in Thiazole‐Rich Mixed‐Linkage Covalent Organic Frameworks for Spontaneous Exciton Dissociation and Efficient Photocatalysis

ABSTRACT The formidable exciton effect inherent in organic semiconductors fundamentally restricts free charge carrier generation, thereby impeding photocatalytic redox efficiency. Facilitating spontaneous exciton dissociation and lowering exciton binding energy are essential for...

Multimodal fusion of complementary material representations for generalizable and interpretable property prediction

Material properties often depend on coupled compositional, structural, and geometric factors that are incompletely captured by any single representation. We introduce interpretable multimodal fusion (IM-Fuse), a framework that integrates compositional descriptors, crystal graphs,...

Digest: Local adaptation of dormancy onset cues in a species expanding its range

Abstract In temperate climates, dormancy enables organisms to survive winter, with timing often tied to environmental cues, such as daylength, that differ along latitudinal gradients. Adaptation to these gradients is crucial during range expansion. Clark et al. (2026) found that...

Freestanding Hierarchical‐Porous BCZT Thin Films Enable Efficient Ultrasonic Energy Harvesting in Soft Tissue

ABSTRACT Excellent electromechanical properties of piezoceramic thin films facilitate ultrasonic energy harvesting in bioelectronic systems. However, most piezoceramic thin films are fragile and cannot maintain mechanical integrity under deformation, hindering their application i...

scProtoTransformer: Scalable reference mapping across molecules, cells, and donors

Abstract The rapid accumulation of single-cell data has made it possible to comprehensively characterize biological systems at molecular, cellular, and donor levels. However, scalable reference mapping across different resolutions remains a major challenge in current research. He...

DynamicBUS: restoring temporal dynamics from static ultrasound for improved breast cancer diagnosis

Abstract The clinical practice of archiving static 2D images from dynamic breast ultrasound (BUS) examinations leads to a critical loss of temporal information, vital for accurate lesion diagnosis. This data limitation constrains the performance of conventional computer-aided dia...

Photoactivated Platinum Complexes: Targeting Membrane Proteins and Organelles for Precision Cancer Therapy

ABSTRACT Photodynamic therapy (PDT) and photoactivated chemotherapy (PACT) have emerged as promising anticancer modalities due to their noninvasive nature, spatiotemporal precision, and high tumor suppression efficacy. Integrating platinum with these phototherapies addresses key...

Hotspot to Homogeneous: Amorphous Interfacial Current Redistribution Enables Stable Solid-State Lithium-Metal Batteries

Abstract Interfacial instability in oxide ceramic electrolyte (OCE)-based solid-state lithium metal batteries (SSLMBs) is conventionally attributed to chemical incompatibility or mechanical failure, yet the underlying atomic-scale mechanisms remain elusive. Here, we reveal that g...

Thermal cycling–induced nitriding increases energy-storage density in titanate ferroelectric films

Enhancing dielectric energy-storage density ( U e ) requires maximizing the difference between maximum and remanent polarizations (Δ P ). Improving Δ P remains fundamentally challenging, as existing strategies rarely achieve simultaneous high maximum polarization and low remanent...

PML Method for the Stochastic Acoustic Scattering Problem Driven by an Additive Gaussian Noise

Abstract. This paper is concerned with the time-domain stochastic acoustic scattering problem driven by a spatially white additive Gaussian noise. The main contributions of the work are twofold. First, we prove the existence and uniqueness of the pathwise solution to the scatteri...

Uncertainty quantification in train delay prediction with conformal prediction

Predicting train delays is crucial for railway operations and passenger experience, but point predictions fail to capture uncertainty, limiting their use in risk-aware decisions. Existing uncertainty quantification (UQ) methods often rely on unverifiable assumptions and produce m...

Bifurcations and Exact Traveling Wave Solutions of the Modified Nesterenko-Type Equation: A Dynamical System Approach

For the modified Nesterenko-type equation, its traveling wave system is a singular nonlinear ordinary differential equation. We use the method of dynamical systems to investigate the bifurcations of phase portraits and the dynamical behavior of the solutions of the corresponding...

Compositional architecting by additive manufacturing enables hardenable titanium alloys

Titanium alloys (Ti-alloys) often suffer from limited strain-hardening capacity (typically <250 MPa), hindering broader adoption in demanding structural applications. This study reports a Ti-alloy with ultrahigh strain-hardening capability, enabled by a unique three-dimensional c...

Deep learning to monitor the deep sea: a category‐oriented automated framework for quantifying animal behavior at hydrothermal vents

Abstract Increasing evidences show that fauna living in deep‐sea ecosystems exhibit various complex behaviors that remain understudied. Although several in situ observatories have been set up around the globe, the use of their imagery data to gain insights into animal behavior ac...