Hong Kong University of Science and Technology

Therapeutic-scale CAR-NK microrobots with programmable swarm navigation for targeted solid tumor therapy

An urgent requirement in chimeric antigen receptor (CAR) immune cell therapy [e.g., CAR–natural killer (NK) cells] for solid tumors is to engineer the cells for precise tumor targeting. Meanwhile, medical microrobots can be navigated toward specific target sites using external ma...

High‐Entropy Engineering to Stabilize Single‐Atom Ru Catalysts for Efficient and Durable Water Splitting

ABSTRACT Developing efficient and durable electrocatalysts for oxygen and hydrogen evolution reactions (OER/HER) remains fundamentally challenging due to the intrinsic trade‐off between activity and stability. We herein report a high‐entropy‐engineered strategy to stabilize singl...

Distribution of relaxation time analysis for stage-resolved flexural damage sensing in carbon black-modified ultra-high-performance concrete

Self-sensing cement composites convert mechanical deformation and cracking into measurable electrical responses. However, the conductive-network evolution underlying resistance variation and their ability to track loading-induced damage remain insufficiently understood. Here, we...

TMC-LewisGen: Automated Generation of Lewis-like Structures for Transition–Metal Complexes

Abstract Lewis structures constitute a foundational language in chemical education, mechanistic reasoning, synthesis, and modern cheminformatics. With the accelerating shift toward data-driven and AI-assisted molecular science, the ability to rapidly generate Lewis-like represent...

A Columnar Shear-Assisted Freeze Desalination System

Abstract Freeze desalination is an emerging desalination technique. Previous studies showed that shear-assisted freeze desalination could achieve drinking water production through one freezing cycle. However, the productivity of this approach is relatively low and the energy cons...

Global Incidence of All-Cause Dementia

Importance Global dementia incidence estimates are limited by underrepresentation of low- and middle-income countries and heterogeneous analytic methods. Due to these limitations, true understanding of the global dementia landscape remains incomplete. Objective To identify dement...

Efficient and Polarized Emission From Cs 3 Cu 2 Br 5 Nanorods via Dithiol Ligand Exchange

ABSTRACT Ternary copper halides, such as Cs 3 Cu 2 X 5 (X = Cl, Br, or I), are a new class of lead‐free nanocrystals with exceptional optical properties, making them promising for photo‐down‐conversion display applications. However, recent studies on blue‐emitting ternary copper...

Catalyst-free Polyannulations of Potassium Sulfide and Unactivated Alkynes toward Multifunctional Thiophene-Containing Polymers

Abstract Facile and efficient transformation of inexpensive inorganic sulfides into high-value polymer materials is of great academic and industrial significance. Herein, we report a catalyst-free polyannulation strategy between potassium sulfide and internal diynes, which can ef...

A Generalized Order-Reduction Method for Transfer Function and Pole–Zero Analysis of Linear Analog Circuits

Accurate pole–zero determination is essential for predicting the frequency response, stability, and bandwidth of analog circuits. Conventional transfer function derivations based on nodal or mesh analysis, however, often produce lengthy symbolic expressions and provide limited ph...

Revisiting and Improving Soil Surface Resistance Schemes for Land Surface Modeling

Abstract Accurate representation of soil evaporation is critical for understanding land‐atmosphere interactions and improving climate simulations, where soil surface resistance plays a key regulatory role. However, existing schemes differ substantially and lack systematic evaluat...

High Coverage Does Not Guarantee Regression Detection: A Target-Blind Audit of Representative Task Panels for Versioned AI Coding Agents

Re-evaluating versioned artificial intelligence (AI) coding agents is expensive, motivating small task panels that represent a full benchmark. We audit whether such representativeness predicts regression-screening value (a regression is a task the previous configuration solved an...

Reconceptualizing Network Change: Robustness and Resilience of Interorganizational Networks

Existing research on interorganizational network dynamics has largely treated network change as gradual, local, and primarily oriented toward private organizational advantage. Yet contemporary cooperative interorganizational systems are highly interconnected across industrial sec...

The human gut microbiome primes fever after vaccination

Fever is a common adverse reaction to vaccination, contributing to vaccine hesitancy and reduced uptake. To understand variation in fever risk, we longitudinally profiled fecal microbiota, oral temperature, and serological markers in 171 healthy adults receiving Severe acute resp...

Optimizing Input Data Collection for Ranking and Selection

We study a ranking and selection (R&S) problem when all solutions share common parametric Bayesian input models updated with the data collected from multiple independent data-generating sources. Our objective is to identify the best system by designing a sequential sampling algor...

Multiobjective Optimization of Cross-Flow Membrane Channel Geometry via Integrated CFD Modeling and RSM-Desirability Function Analysis

Abstract Pressure-driven membrane separation processes are pivotal for seawater desalination and wastewater recovery. However, the geometric configuration of the flow channel strongly influences mass-transfer performance and energy consumption. This study applies an integrated th...

An Artificial Olfactory Chip with Temperature Gradient Modulation for Food Waste Management

Abstract Increasing demand for fuels driven by the scarcity of fossil resources necessitates the development of sustainable and innovative strategies for the energy industry. Food waste has emerged as a viable resource with diverse functional chemical components for energy harves...

Machine Learning‐Assisted Prediction and Analysis of Viscosity and Fusion Characteristics for Coal and Biomass Ash

ABSTRACT Coal and biomass are important solid fuels, and the viscosity and fusion temperature of their ash have a significant impact on the stable operation of entrained‐flow gasifiers with liquid slag discharge. In this study, separate machine learning (ML) models were developed...

Machine Learning Guided Broadleaf‐Inspired Reconfigurable Triboelectric Array for Space‐Efficient Ocean Current Energy Harvesting and Antifouling

ABSTRACT Ocean currents represent a stable source of blue energy. Flag‐type triboelectric nanogenerators (F‐TENGs), which have been widely investigated for harvesting energy from low‐velocity ocean currents, generally rely on bluff body to induce vortex. This dependence limits th...

Highly Robust High-Order Numerical Framework for Solving Six-Equation Compressible Two-Phase Flow Model with Phase Change

Abstract The six-equation, single-velocity, two-phase flow model based on the diffuse-interface method (DIM) with stiff pressure relaxation has recently gained attention for its ability to handle metastable fluids, ensure robust positivity of volume fractions, and yield effective...

Learning to Simulate: Generative Metamodeling via Quantile Regression

Stochastic simulation models effectively capture complex system dynamics but are often too slow for real-time decision making. Traditional metamodeling techniques learn relationships between simulator inputs and a single output summary statistic, such as the mean or median. These...