Zhejiang Lab

Gastric serum biomarkers for long-term risk stratification of gastric and extra-gastric cancers: a 26-year cohort study

Gastric serum biomarkers are established for gastric cancer risk assessment, but their utility for extra-gastric malignancies and long-term risk stratification remains unexplored. We prospectively evaluated serum pepsinogens (PGI, PGII), gastrin-17 (G-17) and anti- H. pylori IgG...

Dual cascade of two-dimensional turbulence arising from collective swimming

Abstract Using high-resolution numerical simulations, supported by shallow-water tank experiments, we show that the collective swimming of fish at finite Reynolds numbers can spontaneously generate two-dimensional (2D) turbulence. The resulting flow exhibits a robust dual-cascade...

Inverse Design of Multisource Thermal Metamaterials for Multifunctional Thermal Camouflage

ABSTRACT Controlling thermal transport in systems with multiple heat sources represents a fundamental and unresolved challenge in thermal science, where strong inter‐source coupling and complex source geometries readily destroy the spatial coherence required for reliable thermal...

Binary-error compensation iteration for optimized Fourier single-pixel imaging

Fourier single-pixel imaging utilizing binary-speckles modulation offers significant advantages in high-speed acquisition; however, it is inherently constrained by quantization-induced image degradation. To address this challenge, we propose an optimized reconstruction method bas...

Machine Learning‐Driven Rational Design of Organic Electro‐Oxidation Catalysts: A Mechanism‐Embedded Approach to Selectivity Engineering

ABSTRACT Organic electro‐oxidation (OEO) uses electrons to drive selective organic transformations under ambient conditions, offering a sustainable alternative to high‐temperature, high‐pressure oxidation and contributing to the decarbonization of chemical manufacturing. However,...

Cardiovascular Classification in Middle‐Aged and Elderly CKD Patients: A Machine Learning Approach in China and the United States

ABSTRACT Background Cardiovascular disease (CVD) drives mortality in chronic kidney disease (CKD) patients. Conventional risk tools underperform in CKD, and few machine learning (ML) models undergo cross‐national validation. We developed interpretable ML models for classifying CV...

Shared Genetic and Regulatory Architecture of Congenital Heart Disease and Autism Spectrum Disorder Revealed by Cross-Tissue Multi-Omic Integration

Background: Congenital heart disease (CHD) and autism spectrum disorder (ASD) co-occur more frequently than expected, suggesting shared developmental susceptibility. We aimed to identify cross-tissue molecular candidates linking cardiac and neurodevelopmental abnormalities. Metho...

Profile-wide desalinization is associated with increased deep-soil microbial biomass and reduced iron-bound carbon in coastal wetland restoration

Tillage- and mulching-based interventions are increasingly used to control invasive plants and modify soil hydro-salinity, but their effects on subsoil carbon (C) stabilization are poorly quantified. We conducted an 18-month field experiment in a Spartina alterniflora–invaded est...

pH-Regulated Sequential Ti–Al Incorporation for Enhanced Water Vapor Adsorption and Mechanical Robustness of Silica-Based Desiccants

Silica-based desiccants are widely used in rotary dehumidification systems but are limited by insufficient water adsorption and mechanical durability. Herein, Al–SiO2, Ti–SiO2, and sequentially co-doped TiAl–SiO2 adsorbents were prepared on glass fiber honeycomb substrates to inv...

Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence

The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) detection a global health challenge. Although noncontrast computed tomography (NC CT) is widely accessible, the esophagus is a hollow tubular structure prone to collapse and motion a...

Advances on Topological Photonics in Non‐Hermitian, Spatial‐Temporal, Nonlinear, and Quantum Regimes

ABSTRACT Topological photonics has emerged as a versatile platform for exploring robust wave phenomena by translating concepts from topological band theory into optical systems. Early developments focused on photonic analogues of topological insulators, where protected edge state...

Exact Finite-Population Sequential Auditing for Selective Release from Model-Proposed Candidate Sets

Predictive models can rank low-risk cases, but past accuracy cannot establish that skipping review is safe in the current batch. We formulate selective release as a risk-constrained finite-population audit design. A model-proposed candidate and its audit plan are frozen before ca...

Dual-path knowledge-guided gating network for 3D fluorescence spectra recognition of fluorescent dissolved organic matter in drinking water

Three-dimensional excitation–emission matrix (3D-EEM) fluorescence spectroscopy is widely used to monitor fluorescent dissolved organic matter (FDOM) in drinking water. However, its application in drinking water distribution systems (DWDSs) remains constrained by severe spectral...

A transformer framework for vessel trajectory prediction in complex maritime scenarios with an original vessel trajectory dataset

In maritime intelligent collision avoidance, accurate multi-step ship trajectory prediction is essential for assessing collision risk and making proactive decisions. Conventional artificial intelligence methods typically rely on low-dimensional kinematic inputs, which often fail...

Real-time, cross-modal genotype mapping of free-moving Drosophila larvae via simultaneous mechano-electrophysiological recording

Drosophila larvae provide a powerful model for interrogating genes associated with human muscle and neurological disorders; however, existing genotyping and phenotyping approaches remain low-throughput and often rely on destructive, invasive, or toxic procedures. Here, we present...

Rapid metaverse 3D assets generation via integration of neural rendering and physics based garment simulation

Production cycles are long, and the lack of realism in virtual content is a challenge in the metaverse industry, particularly for creating immersive experiences and generating a large number of 3D assets. The current approaches rely on neural rendering, which is not physically ac...

An expert-level generalist AI for abdominal CT diagnosis

Artificial intelligence (AI) in radiology aspires to deliver expert-level diagnosis across diverse clinical tasks, yet existing supervised strategies remain limited in scope. We developed RADAR, a generalist vision-language model trained on more than 400,000 contrast-enhanced abd...

Targeted NAD + Metabolic Reprogramming Enables Functional Endometrial Regeneration and Fertility Restoration in Intrauterine Adhesions

ABSTRACT Regeneration of the injured endometrium requires re‐establishment of a permissive microenvironment that supports coordinated epithelial renewal, angiogenesis, and matrix remodeling. However, this regenerative transition remains incomplete in intrauterine adhesions, sugge...

Towards Optimal Speculative Decoding: A Comprehensive Survey on Optimizations and Future Directions

Speculative decoding (SD) has emerged as a compelling approach to breaking the sequential bottleneck of autoregressive large language model (LLM) inference. By coupling lightweight drafting with parallel verification, SD reduces expensive target-model decoding while preserving ge...

Homogeneous Positive Surface Charge via Interfacial Amino‐yne Polymerization for Efficient Li + /Mg 2+ Separation

ABSTRACT Efficient Li + /Mg 2+ separation is essential for lithium recovery from salt‐lake brines, yet remains highly challenging because of the similar physicochemical properties of these ions and the large excess of Mg 2+ in practical feed streams. Polyamide (PA) membranes offe...