National Central University

Luminescence Control in Polyesters via Chain‐Motion‐Regulated Through‐Space Electronic Interaction

ABSTRACT Stimuli‐responsive luminescent polymers translate changes in molecular mobility or transformation into optical outputs; however, most systems rely on synthetically elaborate architectures that hinder broad implementation. Here, a very simple polyester, synthesized via ri...

Onboard geomagnetic field generation module for CubeSat attitude control simulations

<title>Abstract</title> In recent decades, employing small satellites in low earth orbit (LEO) has an increasing tendency. Generally, they are equipped with a magnetic torque actuator (e.g., magnetorquer, MTQ) and a reaction wheel (RW) that are associatively manipulated to perfor...

Improving calibration accuracy with torque coupled gravity field calibrator for sub-Hz gravitational wave observation in CHRONOS

Abstract A fundamental challenge in low-frequency gravitational-wave detectors is the limited signal-to-noise ratio (SNR) of calibration lines, particularly in torsion-bar systems where the response is governed by rotational dynamics. In this work, we resolve this issue by optimi...

Impact of TRITON GNSS-R wind speed assimilation on convective rainfall prediction: a case study of a nearshore rainfall event on April 23, 2024

Abstract The TRITON satellite, developed by the Taiwan Space Agency (TASA) and launched in October 2023, is equipped with a global navigation satellite system (GNSS) reflectometry receiver and operates in a high-inclination orbit. The ocean surface wind speed (OSW) is retrieved f...

Tracing Spatial Interaction and Collaborative Inquiry Learning in a Metaverse: A Log-Based Comparison Study of Gather Town and a Web-Based Environment

Spatial virtual environments enable proximity-based communication and continuous awareness of others’ locations, potentially reshaping how learners coordinate collaborative inquiry. This study compared a spatial metaverse environment with a functionally comparable web-based syste...

Fluorine-Modulated Reactivity Enables One-Pot Kinetic Sequence Programming of Block Copolyesters

Monomer sequence strongly influences copolymer properties, but direct block formation from a monomer mixture requires a large reactivity contrast. Here, fluorination was used to regulate anhydride reactivity in the cesium pivalate-catalyzed ring-opening alternating copolymerizati...

A Dual-Criterion System for Surface-Localized States Identification: Application to Al(001) Surface

Angle-resolved photoemission spectroscopy (ARPES) clearly resolves surface-localized (SL) states, yet conventional density functional theory (DFT) band structures from slab calculations do not readily distinguish weakly confined SL states on surfaces such as Al(001), as tradition...

YOLO-CNN-Based Multimodal System for Real-Time Structural and Bolt Analysis on a Semiautonomous Robot

Abstract This study introduces the Remote Automated Multi-Bolt Inspection Robot (RAMBIRobot), a novel system integrating machine vision and acoustic analysis for efficient, autonomous bolt inspection. Conventional bolt inspection methods are labor-intensive, prone to human error,...

Volcano–climate interactions: reframing the volcano–climate puzzle

Explosive volcanic eruptions are major natural perturbations of the Earth system. By increasing stratospheric aerosol loading, they exert a dual radiative forcing: enhanced scattering of incoming solar radiation induces global surface cooling, while absorption of terrestrial radi...

Neurocognitive Functions and Their Associations With Autistic Symptoms, Emotion, and Behavior in High-Functioning Children and Adolescents With Autism Spectrum Disorder

Objective Studies have revealed the prognostic significance of intelligence in children with autism spectrum disorder (ASD), but the correlations of non-social cognitive functions and clinical characteristics of high-functioning children and adolescents with ASD remain unclear. T...

Interpretable machine learning for groundwater-level prediction incorporating pumping-well power consumption

Groundwater-level forecasting is essential for adaptive groundwater management in regions where pumping pressure and climatic variability interact, yet direct abstraction records are often unavailable. This study developed an interpretable extreme gradient boosting (XGB) framewor...