semantic_scholarEcological Indicators2026-08-01
18 papers indexed
Ji Li, J L Zhang, Shengguang Li, Li Zhang, Yadan Zou, Ting Long, et al.
Gastrointestinal involvement is common in systemic sclerosis (SSc), but severe abdominal pain should not be attributed automatically to dysmotility or malabsorption. We report a 72-year-old woman with long-standing limited cutaneous SSc who developed recurrent severe abdominal pa…
Yu Zhang, Jiayuan Rao, Haoning Wu, Weidi Xie
Comprehensive basketball video understanding requires resolving not only what event occurs, but also who is responsible and when the key evidence appears. However, exist- ing methods typically treat spatial perception and semantic recognition as isolated tasks, failing to ground…
Mengjiao Chi, Anqi Zhao, Yu Zhang, Liping Fan, Qi Wang, Bing Tang, et al.
Objective This review aims to comprehensively review the methodologies and advancements in using electroencephalography (EEG) for the early diagnosis of Alzheimer’s disease (AD), addressing the limitations of traditional diagnostic tools. Methods We conducted a comprehensive anal…
Weizhe Zhen, Jingjing Chen, Hongjun Zhen, Yu Zhang, Shiyu Du, Wei Zhang, et al.
Background Anxiety disorders and depressive disorders are the most prevalent mental disorders worldwide. Their diagnosis has long relied on clinical symptom assessment, and objective blood−based biomarkers remain lacking. Sex is a critical risk factor for these disorders; however…
Dongjie Fu, Di Cao, Xize Cheng, Zihan Zhang, Wenxu Jia, Yifu Chen, et al.
While large audio-language models have achieved remarkable progress in auditory perception, they still lag behind text-based large language models in deep logical reasoning, primarily due to the scarcity of high-quality audio reasoning data. To bridge this gap, we propose X$^3$-O…
Renye Yan, Jikang Cheng, You Wu, Ling Liang, Wei Peng, Athanasios V. Vasilakos, et al.
Latent diffusion models (LDMs) enable efficient high-resolution image synthesis by denoising in a VAE-compressed latent space. However, fixed visual tokenizers can discard fine textures and structural details, while separate representation and diffusion training creates a mismatc…
Hao Yang, Yanyan Zhao, Kewei Zhao, Hongbo Zhang, Tian Zheng, Yusheng Liu, et al.
Understanding driver emotion and state is critical for the next generation of intelligent in-cabin systems that ensure safety and enhance human-vehicle interaction. However, existing public datasets for in-cabin affective computing are largely limited to visual modalities and rar…
Yucheng Zhou, Shuang Li, Yu Zhang, Yibing Wang, Chulhong Kim, Seongwook Choi, et al.
Photoacoustic Computed Tomography (PACT) often faces severe challenges from reconstruction artifacts due to sparse detection conditions. In this work, based on the distinct differences in artifact patterns between back-projection-based and Fourier-based reconstruction algorithms,…
Haoxiang Zong, Chen Zhang, Yu Zhang, Xu Cai, Marta Molinas
The current-constrained power-angle curve (PAC) is crucial for the transient synchronization stability (TSS) analysis of virtual admittance-based (VA) grid-forming (GFM) converters. Its formulation and application rely on the quasi-steady-state assumption critically, i.e., the ac…
Anthony Cioppa, Silvio Giancola, Håkan Ardö, Mohamad Dalal, Jan Held, Jérémie Ochin, et al.
The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video understanding. This year's challenges span five vision-based tasks: (1) Ball Action Anticipation, predictin…
Jiabin Lou, Haopeng Wang, Xinyu Liu, Yu Zhang, Rongye Shi, Wenjun Wu
Integrating large language models into robotic systems holds promise for enhancing autonomy, yet practical deployment remains constrained by strict heartbeat-constrained scheduling and limited computational power. We propose AERIS: an edge deployment framework for aerial platform…
Bohao Zhao, Chengrui Wei, Guangfeng Jiang, Ruixin Liu, Xuejie Lv, Liu Liang, et al.
Predicting future states is essential for autonomous agents, yet current Vision-Language-Action (VLA) models fundamentally lack this capability, relying instead on reactive perception-action mapping. While integrating Predictive World Models (PWMs) addresses this gap, existing ap…
Chenghao Liu, Yu Zhang, Zhongtao Jiang, Kun Xu, Zhenwei An, Renzhi Wang, et al.
Embedding-based retrieval ranks items by their similarity to a query in a shared vector space and usually aims to return the highest-scoring items. In many production settings this is not what is wanted: given a seed set that expresses a fine-grained pattern, one needs more items…
Yu Zhang, Zhiyong Hu, Jianjun Xue, Keng Li, Ming Xue, Jingjing Ren, et al.
The rapid proliferation of the Medical Internet of Things (MIoT) has significantly enhanced real-time healthcare monitoring while introducing complex, dynamic communication behaviors among heterogeneous medical devices. Accurate modeling of these behaviors is essential for ensuri…
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, et al.
ABSTRACT For sustainable alloy design, unified‐composition approaches offer an effective route to deliver multiple performance levels while reducing chemistry complexity. Quenching and partitioning (Q&P) steels are widely used advanced high‐strength steels, yet their grade de…
Zixian Chen, Yu Zhang, Shuangqi Chen, Chunxia Zhang, Rui Gu, Shaohui Wang
Background: Wugeng San (WGS) is a traditional Tibetan medicinal preparation that has long been used to treat inflammatory and arthritic conditions. However, its contemporary pharmacological validation and the mechanisms underlying its action in rheumatoid arthritis (RA) have not…
Wenqi Shen, Siqi Chen, Jianjun Xu, Yu Zhang, Xudong Liang, Yong Zhang
Variational data assimilation theoretically assumes Gaussian-distributed observational errors, yet actual data often deviate from this assumption. Traditional quality control methods have limitations when dealing with nonlinear and non-Gaussian-distributed data. To address this i…