Zobrazeno 1 - 10
of 1 604
pro vyhledávání: '"Wang Lingzhi"'
Autor:
Luo Li, Liu Xiao, Duan Shouxin, Li Hui, Xu Hang, Peng Sui, Liu Bo, Wang Yuting, Wang Lingzhi, Zou Yuxin, Li Jie, Shen Yun, Yao Jianquan
Publikováno v:
Nanophotonics, Vol 12, Iss 19, Pp 3839-3848 (2023)
The research on terahertz wave manipulation based on metasurfaces has gradually deepened, and the number of functions or electromagnetic control dimensions in a single device is constantly increasing. For the spatial dimension of terahertz field regu
Externí odkaz:
https://doaj.org/article/cb61c83c10374430a82800d8510cd8ee
Publikováno v:
陆军军医大学学报, Vol 44, Iss 19, Pp 1946-1953 (2022)
Objective To explore the relationship between family resilience and mental health in military personnel from the perspective of the dual-factor model of mental health. Methods A total of 8 094 soldiers were selected as subjects. Family Resilience Sca
Externí odkaz:
https://doaj.org/article/3a02a33b33fd4dd1b05f1c2c88917e80
Publikováno v:
SHS Web of Conferences, Vol 187, p 02035 (2024)
The curriculum is the basic basis and carrier of educational and teaching activities, and it is the core of the digital transformation of education. With the continuous deep integration of digital technology in the curriculum and teaching, how to eff
Externí odkaz:
https://doaj.org/article/a7de07a143fb4ce6bbff2068d28841b0
Autor:
Lin, Ruqiu, Zheng, Zhen-Ya, Yuan, Fang-Ting, Wang, Jun-Xian, Jiang, Chunyan, Jiang, Ning, Wang, Lingzhi, Jiang, Linhua, Ji, Xiang, Zhu, Shuairu, Fu, Xiaodan
Publikováno v:
2024SCPMA..6709811L
The scaling relation of central massive black holes (MBHs) and their host galaxies is well-studied for supermassive BHs (SMBHs, $M_{\rm BH}\ \ge 10^6\, M_{\rm \odot}$). However, this relation has large uncertainties in the mass range of the intermedi
Externí odkaz:
http://arxiv.org/abs/2409.20350
Autor:
Wang, Lingzhi, Wang, Jiahui, Jung, Kyle, Thiagarajan, Kedar, Wei, Emily, Shen, Xiangmin, Chen, Yan, Li, Zhenyuan
The escalating battles between attackers and defenders in cybersecurity make it imperative to test and evaluate defense capabilities from the attackers' perspective. However, constructing full-life-cycle cyberattacks and performing red team emulation
Externí odkaz:
http://arxiv.org/abs/2407.16928
Autor:
Zhang, Jujia, Dessart, Luc, Wang, Xiaofeng, Zhai, Qian, Yang, Yi, Li, Liping, Lin, Han, Valerin, Giorgio, Cai, Yongzhi, Guo, Zhen, Wang, Lingzhi, Zhao, Zeyi, Wang, Zhenyu, Yan, Shengyu
Publikováno v:
ApJL 970 L18 (2024)
We present early-time, hour-to-day cadence spectroscopy of the nearby type II supernova (SN II) 2024ggi, which was discovered at a phase when the SN shock just emerged from the red-supergiant (RSG) progenitor star. Over the first few days after the f
Externí odkaz:
http://arxiv.org/abs/2406.07806
Autor:
Xiang, Danfeng, Mo, Jun, Wang, Xiaofeng, Wang, Lingzhi, Zhang, Jujia, Lin, Han, Chen, Liyang, Song, Cuiying, Liu, Liang-Duan, Wang, Zhenyu, Li, Gaici
We present a detailed analysis of the progenitor and its local environment for the recently discovered type II supernova (SN) 2024ggi at a distance of about 6.7~Mpc, by utilizing the pre-explosion images from the Hubble Space Telescope (HST) and \tex
Externí odkaz:
http://arxiv.org/abs/2405.07699
Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
As cyber attacks grow increasingly sophisticated and stealthy, it becomes more imperative and challenging to detect intrusion from normal behaviors. Through fine-grained causality analysis, provenance-based intrusion detection systems (PIDS) demonstr
Externí odkaz:
http://arxiv.org/abs/2404.14720
The pervasive spread of misinformation and disinformation in social media underscores the critical importance of detecting media bias. While robust Large Language Models (LLMs) have emerged as foundational tools for bias prediction, concerns about in
Externí odkaz:
http://arxiv.org/abs/2403.14896
In the age of information overload and polarized discourse, understanding media bias has become imperative for informed decision-making and fostering a balanced public discourse. This paper presents IndiTag, an innovative online media bias analysis a
Externí odkaz:
http://arxiv.org/abs/2403.13446