Zhangling Duan

A Flexible Pressure/Temperature Sensor Based on CNTs/PEDOT:PSS/PVA/Silicone Rubber Composites for Motion Recognition and Battery Temperature Monitoring

Yunong Zhao, Qiang Xu, Ziyuan Zhou, Haoyu Lan et autres

Abstract Simultaneous sensing of pressure and temperature is essential for next-generation flexible electronics and electronic skin. However, signal crosstalk between different stimuli and the reliance on complex signal-processing circuits remain major challenges in multifunctional sensor design. Herein, a self-decoupled flexible pressure–temperature dual-modal …

cn, nz (code pays fourni par la source)

Highly sensitive self-powered pressure sensor with high power output based on electrochemical reactions for rehabilitation monitoring

Xiaohui Guo, Shangzhe Yin, Bing Hu, Haoyue Dong et autres

cn (code pays fourni par la source)

Interlocking architecture-enabled ultrasensitive iontronic pressure sensor based on [BMIM]BF4-functionalized sponge

Xiang Guo, Xiaomeng Yao, Bing Hu, Xu He et autres

Towards personalized long-term learning modeling in knowledge tracing

Shanshan Wang, Jianqi Qiu, JiaXin Pang, Xun Yang et autres

cn (code pays fourni par la source)

Enhancing causal structure learning with adaptive local-to-global skeleton construction

Tianci Li, Debo Cheng, Zhangling Duan, Zhaolong Ling

cn, au (code pays fourni par la source)

Power quality disturbances classification based on pattern image deep fusion on edge computing node

Juncai Song, Qianqian Jiang, Wu, Jing, 1964-, Zhi Peng et autres

cn (code pays fourni par la source)

High-Sensitivity Dual-Sensing-Layer Flexible Pressure Sensor Based on MWCNTs/SR Composites for Material Property Identification

Liu X, Dezhi Wang, Bing Hu, Xu He et autres

In recent years, there has been a surge of research interest in flexible pressure sensors, driven by their outstanding application prospects in wearable devices, electronic skin, as well as other relevant application fields. Here, we propose a multilayer flexible resistive pressure sensor …

cn (code pays fourni par la source)

Graphmd: A Two-Module Diffusion Framework for Smooth and Consistent Molecular Dynamics

Guanyu Chang, Zhan Si, Jingjing Hu, Zhangling Duan et autres

Molecular dynamics (MD) simulation is a key method for studying complex molecular systems, and deep learning has been widely used to accelerate it. Recently, diffusion models have shown excellent performance in generating high-quality molecular conformations and modeling complex distributions. However, their discrete …

cn (code pays fourni par la source)

From Social Media to Psychological Scale: An Adaptive Framework with Two-Hop Retrieval for Depression Screening

Yangyang Xu, Jinpeng Hu, Peipei Song, Zhangling Duan et autres

Depressive disorders represent a major global public health challenge. As an increasing number of individuals share their emotional experiences and concerns on social media, researchers have shown growing interest in leveraging such data for early depression screening. However, most existing methods rely …

cn (code pays fourni par la source)

Evidence Packing for Cross-Domain Image Deepfake Detection with LVLMs

Yuxin Liu, Fei Wang, Kun Li, Yiqi Nie et autres

Image Deepfake Detection (IDD) separates manipulated images from authentic ones by spotting artifacts of synthesis or tampering. Although large vision-language models (LVLMs) offer strong image understanding, adapting them to IDD often demands costly fine-tuning and generalizes poorly to diverse, evolving manipulations. We …

Evidence Packing for Cross-Domain Image Deepfake Detection with LVLMs

Yuxin Liu, Fei Wang, Kun Li, Yiqi Nie et autres

Image Deepfake Detection (IDD) separates manipulated images from authentic ones by spotting artifacts of synthesis or tampering. Although large vision-language models (LVLMs) offer strong image understanding, adapting them to IDD often demands costly fine-tuning and generalizes poorly to diverse, evolving manipulations. We …

cn, pl, ae (code pays fourni par la source)

Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization

Cailing Han, Zhangbin Li, Jinxing Zhou, Wei Qian et autres

Point-level weakly-supervised temporal sentiment localization (P-WTSL) aims to detect sentiment-relevant segments in untrimmed multimodal videos using timestamp sentiment annotations, which greatly reduces the costly frame-level labeling. To further tackle the challenges of imprecise sentiment boundaries in P-WTSL, we propose the Face-guided Sentiment …