Institution
Hefei University of Technology
Recent research
- Biology
Abstract Red kidney bean phytohemagglutinin (PHA) is an isolectin system of erythroagglutinating (PHA-E) and leucoagglutinating (PHA-L) subunits, but the biological significance of the natural ratio remains unclear. Here, natural PHA fractions with stepwise PHA-E/PHA-L ratios (N1...
- Engineering & TechnologyOpen access
Suspension cables and main cables (collectively referred to as cables) on both sides of suspension bridges are critical load-bearing components that determine overall structural stability. Cables are directly exposed to fires when burning vehicles stop in emergency or slow lanes,...
- AI & ComputingOpen access
Artificial intelligence is becoming deeply embedded in higher education, yet how the characteristics of AI-based e-learning systems relate to students’ perceived learning effectiveness and satisfaction remains insufficiently understood. This study examines the relationships of AI...
- Materials & Energy
Abstract Controlling aggregation of soft and hard segments is a prevalent strategy to improve the mechanical performance of polyurethane elastomers, yet the regulatory actions of hydrogen bonding motifs governing the size and spatial distribution of hard and soft segments remain...
- Climate & EnvironmentOpen access
Dissolved organic matter (DOM) in the water column and sediments in coal mining subsidence areas considerably affects the carbon cycle and ecological environment. This study analyzed the spectral characteristics, material composition, and molecular transformation of DOM in the wa...
- Engineering & TechnologyOpen access
Model Falsification for Predicting Dynamical Responses of Uncertain Structural Systems
Abstract Accurate prediction of the dynamical response of a structural system depends on appropriate modeling of that system. However, modeling becomes increasingly challenging when numerous candidate models are available to describe the system behavior. Although different model...
- 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 (...
- Engineering & TechnologyOpen access
The synchronous grouting layer in subsea shield tunnels is continuously exposed to seawater during long-term service. Sustained migration and diffusion of seawater ions can induce deterioration of the pore structure and degradation of mechanical properties, thereby diminishing th...
- Physics & Space
ABSTRACT Orbital angular momentum (OAM) based Free‐space optical (FSO) communication has gained considerable research interest due to its potential for increasing spectral efficiency and channel capacity. Nevertheless, recognition of OAM modes in realistic FSO communication syste...
- Engineering & TechnologyOpen access
Commodity WiFi Can Capture Your Respiration Even the Motion Interference Exists
As one widely used wireless technique, WiFi has the potential to perform non-contact monitoring of respiration. While pioneering works have demonstrated promising performance, they inevitably ignore the impact of pervasive motion interference caused by non-target body areas or ne...
- Climate & EnvironmentOpen access
Prefabricated vertical drains are critical for accelerating pore-water pressure dissipation and consolidating water-saturated soft soils in coastal and riverine environments. Straw drainage boards, composed of agricultural straw and polylactic acid (PLA), offer an alternative to...
- Health & MedicineOpen access
To examine temporal patterns in cardiovascular disease (CVD) risk among miners, identify distinct latent trajectory classes, and evaluate factors associated with trajectory membership. We analyzed data from a miner health cohort in Huaibei, Anhui Province, China. Of 4,560 miners...
- Materials & Energy
Machine learning enhanced prediction of optical properties via reverse Monte Carlo method
We present a machine learning (ML) approach for the accelerated extraction of optical properties from the experimental reflection electron energy loss spectroscopy (REELS) spectra by the reverse Monte Carlo (RMC) method. Taking platinum (Pt) as an example, experimental REELS spec...
- Materials & EnergyOpen access
Gate-imprinted memory and light-induced erasure of superconductivity at KTaO3-based interfaces
Realizing non-volatile control of superconductivity is a key step toward integrating memory and quantum functionality in future information technologies. KTaO₃-based heterostructures uniquely host interfacial two-dimensional superconductivity and quantum paraelectric lattice back...
- Health & MedicineOpen access
Intermittent fasting promotes plaque regression and activates the BMAL1–MERTK efferocytosis axis
Abstract Background Atherosclerotic cardiovascular disease can progress despite intensive lipid lowering, highlighting the need to identify local mechanisms that remodel established plaques. Intermittent fasting may engage metabolic, circadian, and immune pathways relevant to thi...
- Engineering & Technology
Glioblastoma (GBM) remains difficult to treat because the restrictive blood-brain barrier (BBB), the hypoxic tumor microenvironments, and mitochondrial electron transport chain (ETC)-driven metabolic adaptability jointly limit therapeutic delivery and efficacy. Selective disrupti...
- Climate & EnvironmentOpen access
Summary Reflectivity estimation aims to enhance the resolution of seismic data, providing crucial support for the detailed inversion of reservoir parameters. We propose a method that combines supervised pre-training with synthetic data and physics-guided fine-tuning in field data...
- Climate & EnvironmentOpen access
Massive-scale unlabeled field and labeled synthetic seismic datasets of global shelf-edge clinothems
Summary Seismic stratigraphic interpretation of shelf-edge clinothems is essential for revealing tectonic evolution, paleoclimate change, depositional dynamic conditions, and hydrocarbon generation and accumulation during basin filling. However, traditional interpretation methods...
- Materials & Energy
ABSTRACT Iron dual‐atom (Fe DA) nanozymes, structurally analogous to natural catalase, exhibit promising catalase‐like (CAT‐like) activity, yet further improving their catalytic performance and elucidating the underlying mechanism remain major challenges. Herein, we developed a c...
- Engineering & TechnologyOpen access
Air-void distribution is an important internal characteristic of asphalt mixtures, as it affects compaction quality, moisture susceptibility, permeability, and long-term pavement durability. Conventional air-void testing methods generally provide only an average volumetric parame...