Institution
Zhejiang University
Recent research
- BiologyOpen access
Aggressive behaviors represent a common and clinically challenging comorbidity in individuals with autism spectrum disorder (ASD), yet the underlying neural mechanisms remain poorly understood. This study aimed to investigate the circuit-level pathology driving elevated aggressio...
- Materials & EnergyOpen access
Thermal regulation of photovoltaic (PV) panels is essential, as electrical efficiency decreases with increasing operating temperature. However, the electrical efficiency of these panels still no reach to maximum level, and authors have investigated various fluids and materials fo...
- BiologyOpen access
Intrinsic capacity (IC) reflects the integrated physical and mental capacities of older adults and is a central target of healthy ageing interventions. However, the biological mechanisms underlying IC decline remain poorly understood. Autonomic nervous system (ANS) dysregulation...
- Materials & Energy
Abstract The advancement of high-performance hydrogel thermocells is constrained by a fundamental trade-off: strategies to enhance mechanical robustness, such as densifying polymer network or strengthening intermolecular interactions, often compromise thermoelectric performance d...
- Society & EconomicsOpen access
Declining intrinsic capacity may compromise healthy ageing, while opportunities to manage functional change are shaped by social and structural circumstances. Urban-rural differences in the conditions surrounding everyday self-management remain poorly understood. This study explo...
- Engineering & TechnologyOpen access
High-resolution remote sensing semantic segmentation is essential for land-cover mapping, urban monitoring, and object-level geospatial analysis, but accurate prediction remains difficult because remote sensing images often contain complex backgrounds, shadows, weak object contra...
- Physics & SpaceOpen access
Is the accretion flow magnetically arrested in M87?
Abstract It is still debating on whether the disc is magnetically arrested in M87. We assume that a weak external magnetic field is dragged inwards by the accretion disc, which is substantially enhanced to drive strong jets near the black hole horizon via Blandford-Znajek mechani...
- Health & MedicineOpen access
Tendinopathy is a prevalent degenerative musculoskeletal disorder that can progress to heterotopic ossification (HO), ultimately resulting in tissue stiffening and biomechanical deterioration. However, effective early-stage therapeutic strategies to prevent pathological ossificat...
- Climate & Environment
Equivalent Roughness Height for Nondensely Distributed Submerged Obstacles in Open Channel Flows
Abstract The estimation of equivalent sand-grain roughness height ( k s ) for open channel flows is well-established for densely packed roughness but remains ambiguous for nondensely distributed submerged obstacles. This study presents a practical model to predict k s for such co...
- Health & Medicine
Delivery of CAR T Cells in a Magnesium-Functionated Hydrogel Boosts Peritoneal Metastasis Treatment
Abstract Chimeric antigen receptor (CAR) T cells show limited efficacy in solid tumors due to suppressive factors in the tumor microenvironment. In this study, we identified extracellular magnesium (Mg2+) as a pharmacologically modulable regulator of CAR T activity. Mg2+ suppleme...
- Engineering & Technology
Abstract Naturally deposited clays generally exhibit interparticle bonding and fabric anisotropy, which provide additional strength beyond the remolded state and lead to direction-dependent mechanical responses. During loading, microstructural rearrangement, manifested as progres...
- Materials & Energy
ABSTRACT Organic mixed ionic‐electronic conductors (OMIECs) with exclusive electrochemical modulation and coupling between ions and electrons have exhibited intriguing efficiencies in bioelectronics, logic circuits, and wearable devices. However, OMIECs are typically linear polym...
- Engineering & Technology
Dual‐Affinity Host Engineering for Highly Reversible Zinc–Iodine Batteries
ABSTRACT Aqueous zinc–iodine (Zn–I 2 ) batteries are promising for large‐scale energy storage, yet their practical development is impeded by the coupled degradation of both electrodes, including instability Zn anode and sluggish iodine kinetics of cathode. Existing approaches typ...
- AI & Computing
A State-Of-The-Art Review of Industrial Time Series Data Analysis: Methods and Applications
The Industrial Internet of Things (IIoT) is characterized by the generation of vast amounts of time-series data. Modern IIoT systems enable efficient collection, storage, and querying of massive industrial time-series data, making the processing and analysis of such data a key en...
- AI & ComputingOpen access
Fault diagnosis in distributed systems is challenged by complex service dependencies, cascading anomaly propagation, and similar symptom patterns. This paper proposes a knowledge-enhanced iterative reasoning framework that integrates large language models (LLMs) with a numerical...
- Climate & EnvironmentOpen access
Increased maximum carbon release offsets half of the growth trend in annual land carbon sink
The terrestrial carbon sink has strengthened in recent decades through enhanced maximum CO2 uptake (MCU) and a longer carbon uptake period (CUP), whereas maximum CO2 release (MCR) remains less quantified. Using atmospheric inversion estimates and 16 terrestrial biosphere models,...
- BiologyOpen access
Recording and real-time imaging of promoter activities are critical for deciphering signaling cross-talk, but technologies for simultaneously capturing multiple transient events in living cells are lacking. Here, we design fluorescent protein–based ticker tapes (FPTT) for multipl...
- Engineering & TechnologyOpen access
A data-driven framework for predicting mechanical properties of coal–rock composites in deep mining
Abstract The depletion of shallow coal resources necessitates the advancement of deep mining operations, where accurate prediction of coal–rock composite mechanical behavior is critical for disaster prevention. This study systematically develops and evaluates a machine learning (...
- Health & MedicineOpen access
Tumor recurrence after liver transplantation (LT) for hepatocellular carcinoma (HCC) is the most significant obstacle impacting the prognosis of patients. Managing the clinical application of immunosuppressive agents is difficult, owing to their limited therapeutic range and nota...
- Climate & Environment
A Hybrid CNN-Transformer Network for Linear Noise Suppression in 3D Seismic Data
Abstract 3D seismic data acquisition, processing, and analysis have become increasingly prevalent in modern geophysical exploration. However, various types of coherent noise, especially linear noise, can cause serious interference and effective noise reduction techniques are crit...