Hong Kong Polytechnic University

Selective photoacoustic handling of microparticles via annular laser beams

Precise manipulation of bioparticles in micro- and nano-fluidic environments is crucial for applications in cancer diagnostics, drug delivery, and single‑cell analysis. Despite the optical and acoustic tweezers provide high accuracy and stability, their flexibility and selectivit...

Decadal surge of water-surface solar in China's Yangtze Delta: A high-fidelity SAR-optical fusion inventory (2015–2024)

Abstract. China hosts approximately 97 % of the world's water-surface photovoltaics (WPV), with nearly two-thirds of its national capacity concentrated in the Yangtze River Delta (YRD), a densely populated economic powerhouse facing intense land-energy trade-offs. Despite this do...

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

As large language models (LLMs) evolve, deploying them solely in the cloud or compressing them for edge devices is increasingly inadequate due to latency, privacy, cost, and personalization concerns. This survey examines a collaborative paradigm in which cloud-based LLMs and edge...

Does online informal social capital enhance healthcare technology adoption among older adults? The mediating role of attitudes

Healthcare technology adoption is critical for older adults to enhance healthcare access and autonomy. Limited research has examined the effect of social capital on healthcare technology adoption among older adults. Adopting the technology acceptance model and social capital theo...

Statistical Evidence for Factors Associated With Positive Leader Branching in Long Air‐Gap Discharges

Abstract Branching is a common feature in positive leader development, which changes the channel topology and significantly influences discharge behavior. However, the factors associated with its occurrence remain poorly understood. In this study, an event‐based analytical framew...

Motivational Trajectories of Chinese Secondary School EFL Learners: Understanding Demotivation and Remotivation Through a Bioecological Lens

This study drew on bioecological systems theory to investigate factors influencing demotivation and remotivation among Chinese secondary school EFL learners. Adopting a sequential explanatory mixed-methods design, 129 Grade-12 students were asked to create motivational change gra...

Melanins Enhance Radical Scavenging Through Wavelength‐Selective Excited‐State Manifold Diversity

ABSTRACT Melanin is a ubiquitous pigment that mitigates photoinduced damage in biological systems through light absorption, heat dissipation, and radical scavenging. While these functions have traditionally been considered independent, recent studies suggest that they may be intr...

Prospective observational study of the impact of early-life feeding on gut microbiome development in caesarean-delivered infants: associations with clinician-confirmed illness

Caesarean section (C-section) born infants acquire a compromised gut microbiome at birth. This prospective observational study investigated the impact of early-life feeding on gut microbiome of C-section born infants and its association with clinician-confirmed, parent-reported i...

Efficient Acidic CO 2 Reduction via Local Strain Engineering of Nickel Single‐Atom Catalysts

ABSTRACT Acidic CO 2 reduction reaction (CO 2 RR) enhances carbon efficiency and electrolyzer stability. Although nickel single‐atom catalysts (Ni‐SACs) effectively convert CO 2 into CO in neutral/alkaline conditions, their performance in acid is hindered by the competing hydroge...

Synergy of surface oxygen vacancies and built-in electric field in 0D/2D CeO2/SnSe2 S-scheme heterojunctions for enhanced photocatalytic malachite green degradation

Abstract Industrial effluents exacerbate aqueous contamination, necessitating the urgent remediation of toxic dyes such as Malachite Green (MG). In this study, a 0D/2D S-scheme heterojunction was constructed by anchoring CeO 2 nanocubes onto SnSe 2 hexagonal nanosheets via a prec...

Optimal Consumption Under Loss-Averse Multiplicative Habit Formation Preferences

Abstract. This paper studies a loss-averse version of the multiplicative habit formation preference and the corresponding optimal investment and consumption strategies over an infinite horizon. The agent’s consumption preference is depicted by a general S-shaped utility function...

Machine-learning-based model for predicting surface impedance of microslit panels in grazing flow

Accurately predicting the acoustic properties of noise-reduction materials in real-world, flow-exposed environments remains a significant challenge in engineering. Classical models of microslit panels are unsuited for grazing flow conditions due to complex, nonlinear flow-acousti...

Neuropeptide diversity and evolutionary patterns in crustaceans: insights into adaptations, agonism, and functional importance in organs

<title>Abstract</title> Background Crustaceans exhibit great diversity in anatomical, physiological, and behavioral adaptations, all of which contribute to their evolutionary success, and neuropeptides are important regulators mediating these adaptations. While expansion of certa...

Promoting Technological Upgrading in Strategic Industries: Chinese State-Directed Techno-Capitalism in the Semiconductor Industry

Scholarship on new state capitalism posits that states have become increasingly visible in advancing national strategic objectives. Nevertheless, further research is needed to delineate the new extent and forms of state functions. In response, this article examines how states and...

Traffic Flow Prediction Based on Hypergraph Transformer: A Case Study in Huangmaohai Cross-Sea Corridor

Reliable traffic flow forecasting is a core component of intelligent transportation systems; however, many current approaches are still unable to simultaneously model spatial interdependencies and long-term temporal correlations, particularly in cross-sea corridors that exhibit d...

Collaborative Robots in Construction: A Proactivity Perspective

Abstract Achieving effective human–robot collaboration (HRC) in dynamic environments like construction requires robots to function as proactive peers, anticipating human intents and acting in advance. While current literature analyzes enabling technologies through a sense–plan–ac...

Experimental investigation of magnesium phosphate cement mortar for the repair of long-term marine-exposed concrete

Chloride ions tend to ingress rapidly in damaged areas of marine concrete structures, such as cracks and spalling zones. Without timely intervention, embedded steel reinforcement in these regions undergoes accelerated corrosion, ultimately compromising structural integrity. To re...

Shearing‐Assisted Interfacial Exfoliation of Graphene Inks for Embodied Intelligence

ABSTRACT Unlike conventional printed electronics, embodied intelligence systems impose simultaneous demands on high electrical conductivity, intrinsic deformability, multimodal responsiveness, and scalable manufacturability to enable seamless integration into wearable human‐machi...

A Data-Efficient Deep Learning Paradigm for Crack Segmentation Using Generative AI

High manual annotation costs and poor generalizability often limit the robustness of deep learning models for pavement crack segmentation. This study addresses these challenges by developing and validating a diffusion-based generative artificial intelligence framework to support...

Communicating safety: a corpus study of WARNING, CAUTION, and NOTE instructions in aviation maintenance manuals

Abstract Aircraft maintenance personnel worldwide rely on WARNING, CAUTION, and NOTE instructions to prevent injuries, equipment damage, and accidents. However, systematic linguistic analysis of these instruction types has received limited attention in applied linguistics researc...