Institution
Sichuan Normal University
Recent research
- Climate & EnvironmentOpen access
Two new species of Feihyla sensu stricto are described based on specimens from western and southwestern Yunnan Province, China. Morphologically, the first new species from western Yunnan can be distinguished from other known species of Feihyla sensu stricto by the body size, the...
- Materials & Energy
Abstract Columnar liquid crystals featuring one-dimensional charge transport and self-assembly are of considerable interest for organic electronic applications such as organic field-effect transistors (OFETs) and organic light-emitting diodes (OLEDs). Fluorination emerges as a po...
- Physics & Space
Abstract Basis set extrapolation is an important strategy for reducing basis set incompleteness error (BSIE) in correlation energy calculations. However, extrapolating correlation energies from double-ζ/triple-ζ (DZ/TZ) levels to the complete basis set (CBS) limit remains challen...
- AI & ComputingOpen access
Neural dynamics of reconstructing knowledge structure from temporally disordered inputs
Humans possess a remarkable ability to integrate fragmented experiences into coherent internal models. However, the neural dynamics supporting structure reconstruction from temporally disordered inputs remain poorly understood. Here, we show that knowledge reconstruction follows...
- Society & EconomicsOpen access
Storytelling has become an important means of destination branding, with residents as key creators and disseminators of local narratives. However, the structural and cultural conditions that enable residents' storytelling behavior remain insufficiently understood. Drawing on Comm...
- Engineering & TechnologyOpen access
2D theoretically twistable material database
The study of twisted two-dimensional (2D) materials, in which twisting layers create moiré superlattices, has created opportunities for investigating topological phases and strongly correlated physics. The broader potential of a seemingly infinite set of twistable 2D materials re...
- Engineering & TechnologyOpen access
Sliding ferroelectrics offer a unique pathway to electrically reconfigurable polarization at the atomic scale, offering compelling opportunities for ultralow-power optoelectronic devices. Yet, despite rapid advances in materials discovery, the fundamental question of how polariza...
- BiologyOpen access
Background: Aging involves progressive functional decline driven by oxidative stress and mitochondrial dysfunction, and dietary flavonoids are promising aging interventions due to their multi-target regulatory pathways. Methods: This study systematically evaluated the anti-aging...
- Climate & Environment
Abstract To address the unclear removal efficiency and transformation mechanism of refractory organic matter in food industry wastewater (FIW), this study employed the UV / H 2 O 2 system to conduct deep treatment on the biological effluent from dairy, meat, edible oil, and hot p...
- AI & ComputingOpen access
ABE-FL: Efficient and secure federated learning based on CP-ABE with high-security elliptic curves
Existing secure federated learning (FL) schemes suffer from three major limitations: (1) the initial global model is unprotected during distribution; (2) multi-party computation incurs high communication overhead; and (3) the use of homomorphic encryption (HE) for parameter prote...
- AI & ComputingOpen access
A Deep Model Framework for Morphological Trait Imputation Across Taxonomic Groups
ABSTRACT Incomplete morphological trait data pose major hurdles for trait‐based analyses, particularly when missing values, multicollinearity, and sparse sampling constrain inference. These issues limit our ability to quantify trait variation and explore broad patterns of functio...
- Society & EconomicsOpen access
Major depressive disorder involves disrupted neural circuit dynamics. While oxytocin has demonstrated modulatory effects on functional connectivity, its therapeutic potential for depression, particularly through white matter circuit modulation, remains poorly understood. Here we...
- Climate & Environment
Background Smoldering in forest litters is prone to transition to flaming under dry and windy conditions. Most studies focus on smoldering-to-flaming (StF) transition under steady wind conditions, however, a knowledge gap persists regarding periodic wind oscillations in wildfires...
- Biology
BACKGROUND: Cottonseed is an important byproduct of cottonseed processing and is rich in proteins. A literature review indicated that cottonseed protein isolate (CPI) demonstrated a compact structure because of its limited exposure of hydrophobic groups, leading to poor emulsifyi...
- AI & ComputingOpen access
This paper investigates the equivalence relations and algebraic structures induced by $U$-partial and $V$-partial orders on bounded lattices, respectively, with respect to the different neutral and zero elements. The study begins by presenting the equivalence classes associated w...
- Materials & Energy
Weak Acceptors Abnormally Reinforce Urethane Networks while Enabling Glassy-State Healability
Abstract Hydrogen bonds are versatile motifs for designing repairable materials. The current preconception is that while weak hydrogen bonds lead to rapid exchanging dynamics beneficial for healing, they compromise mechanical properties by reducing the overall cohesion of the mat...
- Materials & Energy
Dynamic reconfigurable metamaterials for coordinated heat and charge transport
Coordinated control of coupled heat and charge transport is fundamental to advanced thermoelectric energy conversion and management. Existing thermoelectric metamaterials are largely limited to static or steady-state functionalities. While spatiotemporal modulation has enabled dy...
- Climate & Environment
Abstract Ultratrace microplastics (MPs) in aquatic environments are a growing problem for ecosystems and human health, yet their reliable detection at subng/L levels with sub-100 nm particle sizes remains a substantial analytical challenge. Herein, we introduce a solvent-free and...
- AI & ComputingOpen access
Effects of sleep quality on the offline storage state of visual working memory
Abstract Objective Visual working memory (VWM) is a core cognitive function in humans, which enables flexible and efficient storage of visual information from complex contexts into either online or offline states in accordance with current task demands. Among these two states, th...
- AI & Computing
Purpose Support vector machines have been progressively refined in existing research, but there are still certain limitations in feature selection for high-dimensional data. Design/methodology/approach This paper proposes an adaptive-threshold max-SVM model, which seeks to improv...