Institution
Hefei Normal University
Recent research
- Materials & Energy
Abstract Dynamics in room-temperature ionic liquids (ILs) and the solvation of charged and neutral molecules are important to applications of ILs in battery technology, organic synthesis, and many other areas. Using ultrafast IR spectroscopy, pulse-field-gradient (pfg) NMR, and M...
- Materials & EnergyOpen access
Abstract This study introduces an environmentally friendly and straightforward dip-coating technique for preparing stainless steel meshes (SSM) coated with calcium alginate (CA) hydrogel. The prepared mesh possesses high hydrophilicity and underwater superoleophobicity, enabling...
- AI & ComputingOpen access
Artificial intelligence-generated content (AIGC) is increasingly embedded in short-video platforms, where algorithmic recommendation systems expose users to high volumes of rapidly produced synthetic media. Although prior research has examined generative AI from the perspectives...
- AI & ComputingOpen access
A lightweight model for steel surface defect detection based on EDGI-YOLO
To address the limitations of YOLOv8n in steel surface defect detection–namely, its large parameter count and computational cost, insufficient multi-scale feature modeling capability, and poor scale adaptability of the detection head– we propose a lightweight improved model named...
- Society & Economics
Technological Proximity and Dyadic Urban Coordination: Nonlinear Dynamics Across Chinese Cities
How technological proximity shapes inter-city coordination remains insufficiently understood, particularly when proximity may generate both learning gains and congestion costs. Using inter-city patent transfer records for 253 Chinese prefecture-level cities from 2014 to 2023 and...
- Health & MedicineOpen access
GLOBAL ASYMPTOTIC STABILITY OF BARNACLE-ALGAE INTERACTION MODEL WITH DELAY
This work investigates the dynamical behavior of a three-dimensional patch occupancy model that incorporates a discrete time delay into the barnacle-algae interaction. The model framework extends the non-delayed, periodically forced barnacle-algae-mussel system introduced by Beni...
- Society & Economics
ABSTRACT Low‐ and high‐frequency data are widely used in crude oil futures price forecasting, and machine learning techniques exhibit strong performance. To enhance predictive accuracy, this study presents a stacking model that integrates mixed‐frequency predictors, machine learn...
- BiologyOpen access
Spring low-temperature stress (SLTS) frequently occurs during the critical stage from stamen and pistil differentiation to anther connective formation in wheat, severely disrupting young spike development and reducing grain yield (GY). Although synchronized nitrogen (N), phosphor...
- AI & Computing
Asymptotic properties of estimators in heteroscedastic partially linear EV models with ANA errors
This article addresses the estimation problem associated with heteroscedastic partially linear error-in-variables (EV) models. We establish some strong consistency properties for estimators of both the slope parameter and the nonparametric component based on asymptotic negative a...