Shenzhen Institute of Information Technology

Exploring hydrogen production from plastic waste for urban transportation in Hong Kong and its environmental impact mitigation: integrating dynamic material flow analysis and life cycle assessment

Plastic waste to hydrogen technology offers a sustainable clean energy pathway while reducing landfill and incineration burdens. However, its feasibility as a feedstock for urban mobility decarbonization at the city scale remains largely unexplored. Hong Kong, as a densely popula...

Phase-separation-enabled hollow silicon carbide composite nanofibers with multiscale interfaces for electromagnetic wave absorption over a wide temperature range

Abstract Silicon carbide (SiC) nanofibers are attractive for electromagnetic wave (EMW) absorption in harsh environments, but the controllable construction of hollow architectures and the enhancement of dielectric loss remain challenging. Herein, phase-separation-enabled hollow S...

Cross-domain transferable few-shot learning for state-of-health estimation of lithium-ion batteries with physics-consistent neural network

Accurate estimation of the state-of-health (SOH) of lithium-ion batteries is crucial for ensuring safety and longevity in electric vehicles. Given the varied operating conditions, data-driven methods have emerged as the predominant approach for SOH estimation due to their model-f...

Molecular Machine‐Driven Fluorogenic Probes for Motion–Signal Conversion and Hydrophilicity Retention in Live‐Cell Nanoscopy

ABSTRACT Traditional fluorogenic and cell‐permeable molecular probes for live‐cell nanoscopy mainly rely on structural or hydrophilicity changes to generate intracellular fluorescence signals. Here, we introduce molecular machines into fluorogenic probe design. As a proof of conc...

Mapping the methodological landscape of coupling carbon and electricity markets: A critical review of models, applications, and future pathways

Coupled carbon-electricity markets are increasingly important for power-sector decarbonization, but existing studies remain fragmented in their modeling objectives, assumptions, and methodological choices. To address this gap, this study develops a bibliometric-informed methodolo...

Deep learning predicts gene rearrangements from histopathology in large B-cell lymphoma

Abstract Large B-cell lymphomas are molecularly heterogeneous mature B-cell neoplasms in which assessment of MYC , BCL2 , and BCL6 rearrangement status contributes to integrated diagnosis, risk stratification, and treatment planning. Fluorescence in situ hybridization (FISH) rema...

On Realization of Back‐Action‐Evading Measurements and Quantum Non‐Demolition Variables via Linear Systems Engineering

ABSTRACT We establish a framework for realizing back‐action‐evading (BAE) measurements and quantum non‐demolition (QND) variables in linear quantum systems. The key condition, a purely imaginary Hamiltonian matrix with a real or imaginary coupling operator matrix, enables BAE mea...

Synthesis and in silico studies of hexahydroacridine derivatives as potential antitumor agents

Abstract Despite advances in targeted cancer therapies, drug resistance and off-target toxicity remain major challenges, underscoring the need for new multi-targeted agents with improved selectivity. The present study evaluated the anticancer potential of newly synthesized hexahy...

Enhancing Second Harmonic Generation via Hydrostatic Pressure in 1D vdWs Ferroelectric WOCl 4

ABSTRACT Achieving controllable nonlinear optical effects up to the ultimate one‐dimensional (1D) single‐chain limit holds significant promise for high‐density integrated photonics and tunable optoelectronic devices. However, experimental investigations of intrinsic 1D van der Wa...

Strategic allocation and dynamic rescue for multi-defender stackelberg security games with infectious attacks

Abstract Interconnected systems can suffer infectious attacks, where the compromise of one node exposes neighboring nodes and may trigger cascading loss. Existing Stackelberg and network-defense models usually address only part of this setting: a centralized defender, independent...

Cross-Condition State-of-Health Estimation of Lithium-Ion Batteries via Degradation-Feature Constraints and Domain-Difference Gating

To address the limited generalization of lithium-ion battery state-of-health (SOH) estimation under unseen aging conditions, this study proposes a degradation-feature-constrained domain-difference gated method (DFC-DGGate). Cycle-level features are constructed from capacity, volt...

When do consumers trust AI? The moderating roles of service orientation and social class in human-AI service robot collaboration

As artificial intelligence (AI) becomes increasingly autonomous, understanding how human–robot collaboration affects consumer trust has emerged as a critical challenge in human–AI interaction research. Drawing on service orientation theory and social class theory, this research i...

CoxFormer enables spatial omics inference with multimodal generative modeling

Gene co-expression maps transcriptome-wide gene-gene relationships, yet high-quality estimates cover less than half the genome. Meanwhile, spatial omics either profiles restricted in situ panels or lacks cellular resolution. Extending co-expression transcriptome-wide could overco...

From chemical oscillators to biological synchrony: a programmable reaction-diffusion model for studying signal coordination in cardiomyocyte networks

Abstract The self-organization of asynchronous rhythms into synchronized beating in in vitro cardiomyocyte networks is a fundamental problem in systems biology research. Inspired by the dynamics of chemical oscillators, this paper presents a programmable model framework based on...

Integrating macrophage biology and bioengineering for vascularization in regenerative medicine

Macrophages play central roles in vascularization during tissue regeneration through their dynamic immunomodulatory and angiogenic functions. This review summarizes strategies to regulate vascularization by directly delivering macrophages, cytokines, or extracellular vesicles, an...

Comparison of Nonlinear Dynamics for Rotor Supported by Aerostatic Journal Bearings with Small-Hole and Micro-Hole Restrictors

Aerostatic journal bearings with small-hole restrictors are widely adopted due to their superior stiffness, making them effective solutions to meet the growing demands for improved stability and higher rotational speeds in precision machinery. In this study, the nonlinear dynamic...

High frequency of urban new particle formation on the Tibetan Plateau: quantifying formation rates, growth rates, and CCN production

Abstract. New particle formation (NPF) strongly influences aerosol number size distributions and cloud condensation nuclei (CCN), yet its characteristics and climatic relevance in high-altitude urban environments over the Tibetan Plateau (TP) remain poorly constrained. We conduct...

Validation Study on Fault Diagnosis of Elevator Traction Drive Systems Based on Public Motor-Drive Data and Multimodal Signal Analysis

To address the difficulty of obtaining real fault data from elevator traction drive systems and the potential overestimation caused by random window splitting, this study uses two public motor-drive datasets to examine how validation protocols, signal modalities, and noise condit...

Predicting infection risk in rheumatoid arthritis patients receiving biological or targeted synthetic disease-modifying anti-rheumatic drugs: an application of machine learning and healthcare big data

Patients with rheumatoid arthritis (RA) initiating biologic or targeted synthetic disease-modifying antirheumatic drugs (b/ts DMARDs) face elevated risk of serious infections, necessitating tools for individualized risk stratification. Primary objective was to develop and validat...

Plant‐Derived Extracellular Vesicle‐Like Nanoparticles and Decoction Nanoparticles Exhibit Distinct Therapeutic Effects in Alcoholic Liver Disease via Gut Homeostasis and Macrophage Regulation

Nanoparticles originating from plants have attracted increasing attention owing to the excellent biocompatibility and high potential in disease prevention. Various types of plant-derived nanoparticles have been extensively studied; however, comparative investigations of different...