Zobrazeno 1 - 10
of 970
pro vyhledávání: '"Jue, Chen"'
Autor:
Deng, Yongxin, Qiu, Xihe, Tan, Xiaoyu, Pan, Jing, Jue, Chen, Fang, Zhijun, Xu, Yinghui, Chu, Wei, Qi, Yuan
Large language models (LLMs) are trained on extensive text corpora, which inevitably include biased information. Although techniques such as Affective Alignment can mitigate some negative impacts of these biases, existing prompt-based attack methods
Externí odkaz:
http://arxiv.org/abs/2408.10608
Autor:
Ying Song, Weiting Cai, Lin Jiang, Jingjing Xu, Yi Yao, Na Xu, Xiaozeng Wang, Zhenyu Liu, Zheng Zhang, Yongzhen Zhang, Xiaogang Guo, Zhifang Wang, Yingqing Feng, Qingsheng Wang, Jianxin Li, Xueyan Zhao, Jue Chen, Runlin Gao, Lei Song, Yaling Han, Jinqing Yuan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Although serum uric acid (SUA) is a risk factor for cardiometabolic outcome, but it remains unclear which patients with coronary artery disease (CAD) benefit the most from SUA lowering therapy (ULT). The association of SUA level, systemic in
Externí odkaz:
https://doaj.org/article/30d14c695fa2403796798d2c56b64372
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objective To investigate the impact of vasculogenic mimicry (VM) and postoperative adjuvant therapy on the prognosis and survival of patients with esophageal squamous cell carcinoma (ESCC), as well as to assess whether VM affects the clinica
Externí odkaz:
https://doaj.org/article/faac0c558aef4f798e2a74017438242f
Autor:
Shuo Feng, Jian Cao, Zehong Ou, Guang Chen, Yi Zhong, Zilin Wang, Juntong Yan, Jue Chen, Bingsen Wang, Chenglong Zou, Zebang Feng, Yuan Wang
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 9, Pp n/a-n/a (2024)
As the third‐generation network succeeding artificial neural networks (ANNs), spiking neural networks (SNNs) offer high robustness and low energy consumption. Inspired by biological systems, the limitations of low robustness and high‐power consum
Externí odkaz:
https://doaj.org/article/e10b5305476146fab6c2bf6e3205099c
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
BackgroundVasculogenic Mimicry (VM) can reduce the efficacy of anti-angiogenesis and promote distant metastasis in hepatocellular carcinoma (HCC). Our previous studies have found that Celastrus orbiculatus extract (COE) can inhibit the VM formation i
Externí odkaz:
https://doaj.org/article/621d7aca09204b3cbb3e15ae52b0b4eb
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 0, Iss 0, Pp 1-13 (2024)
This study introduces a novel spatial planning evaluation method that employs a phenomenological spatial perspective to enhance the dark tourism experience in memorial spaces. The phenomenological view recognizes space as a comprehensive entity and e
Externí odkaz:
https://doaj.org/article/0ca1af43f7984688b86a54401842385c
Autor:
Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 507-522 (2024)
The demodulation reference signal of the 5G Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) waveform has been designed for supporting Minimum Mean-Square Error-Interference Rejection Combining (MMSE-IRC) equaliza
Externí odkaz:
https://doaj.org/article/db27ea422fb24cc3930322db934226a3
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 1573-1589 (2024)
While immersive media services represented by virtual reality (VR) are booming, They are facing fundamental challenges, i.e., soaring multimedia applications, large operation costs and scarce spectrum resources. It is difficult to simultaneously addr
Externí odkaz:
https://doaj.org/article/a3a98fdcaf6947dba798a67656974a32
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e32968- (2024)
The Sci-Tech Commissioner System (SCS) is a result of exploratory efforts by the Chinese government to use science and technology to strengthen the agricultural sector. Social network analysis (SNA) and machine learning (ML) techniques make it feasib
Externí odkaz:
https://doaj.org/article/2fa342b1825b42b5a6a3593d036a0569
Autor:
Qiang Liu, Yan Chen, Zhen Wang, Ling Yue, Hui Zheng, Lei Guo, Jue Chen, Yuping Wang, Qianqian He, Jialin Zhang, Qing Kang, Cheng Lian, Yanran Hu, Sufang Peng
Publikováno v:
General Psychiatry, Vol 37, Iss 3 (2024)
Background Anorexia nervosa (AN) has been characterised as a psychiatric disorder associated with increased control. Currently, it remains difficult to predict treatment response in patients with AN. Their cognitive abilities are known to be resistan
Externí odkaz:
https://doaj.org/article/1b18153270d14ec4b46e83a1b45e6746