Zobrazeno 1 - 10
of 2 549
pro vyhledávání: '"Pan Lin"'
Autor:
Pan Lin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Patients hospitalized for neurosurgical procedures are highly susceptible to venous thromboembolism (VTE). It is crucial to evaluate the prevention beliefs of VTE among neurosurgical inpatients and analyse the influencing factors. This resea
Externí odkaz:
https://doaj.org/article/95630f5c3e5b401eb15b115ca7bd3bc9
Autor:
Fangchao Lu, Chiyuan Liu, Xuebo Zhang, Bing Jia, Yifang Wang, Sheng Liu, Yiju Tang, Jingjing Liu, Pan Lin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The characteristics and heterogeneity of coal pores are crucial for understanding the production mechanism of coalbed methane (CBM). In this study, coal samples with varying degrees of metamorphism (0.58% ≤ R O, max ≤ 3.44%) were collect
Externí odkaz:
https://doaj.org/article/dc9130ff8fc74adf9eb7ae7002fe3196
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 4076-4085 (2024)
Transcutaneous auricular vagus nerve stimulation (taVNS) is a promising neurostimulation approach for emotion regulation. This research aimed to clarify the underlying neural basis responsible for taVNS’s impact on emotional regulation related brai
Externí odkaz:
https://doaj.org/article/57179d5dca0d4be08e58593e2d11af70
Publikováno v:
Open Mathematics, Vol 21, Iss 1, Pp 286-295 (2023)
In this work, the authors study some convergence results including weak law of large numbers, strong law of large numbers, complete convergence, and complete moment convergence for weighted sums of coordinatewise asymptotically negatively associated
Externí odkaz:
https://doaj.org/article/99dd68910c7d4dd6bd1e18da24eb93d5
Autor:
Pan Lin, James Allen Wiley, Lingyun Tian, Wan Li, Qiuhong Yang, Haifan Yang, Xin Tan, Yijing Gao, Weijuan Li, Hui Luo, Xinyu Feng, Yinglan Li
Publikováno v:
Thrombosis Journal, Vol 21, Iss 1, Pp 1-15 (2023)
Abstract Background Venous thromboembolism (VTE) including Deep Venous Thrombosis (DVT) and Pulmonary Embolism (PE), is a serious cause of patient morbidity and mortality in hospitals. Neurosurgical hospitalized patients have higher rates of immobili
Externí odkaz:
https://doaj.org/article/978ac7f7e23242109cac1763fe007592
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/5b2e7303e6b04a439fbc60836911b904
Autor:
Yingxia Fu, Meiling Gu, Rui Wang, Juan Xu, Shenglu Sun, Huifeng Zhang, Dejian Huang, Zongjun Zhang, Fei Peng, Pan Lin
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2023)
BackgroundType 2 diabetes mellitus (T2DM) is a metabolic disorder associated with an increased incidence of cognitive and emotional disorders. Previous studies have indicated that the frontostriatal circuits play a significant role in brain disorders
Externí odkaz:
https://doaj.org/article/1fcf805442a84782b59f4609e6788088
Autor:
Dong, Mingwen, Kumar, Nischal Ashok, Hu, Yiqun, Chauhan, Anuj, Hang, Chung-Wei, Chang, Shuaichen, Pan, Lin, Lan, Wuwei, Zhu, Henghui, Jiang, Jiarong, Ng, Patrick, Wang, Zhiguo
Previous text-to-SQL datasets and systems have primarily focused on user questions with clear intentions that can be answered. However, real user questions can often be ambiguous with multiple interpretations or unanswerable due to a lack of relevant
Externí odkaz:
http://arxiv.org/abs/2410.11076
Autor:
Chen Yu-Ting, Pan Lin, Horneber Anke, van den Berg Marius, Miao Peng, Xu Ping, Adam Pierre-Michel, Meixner Alfred J., Zhang Dai
Publikováno v:
Nanophotonics, Vol 8, Iss 9, Pp 1533-1546 (2019)
Phthalocyanines are frequently used as probing molecules in the field of single-molecule surface-enhanced Raman spectroscopy (SERS) and tip-enhanced Raman spectroscopy (TERS). In this work, we systematically compare the SERS and TERS spectra from a t
Externí odkaz:
https://doaj.org/article/6a7cbeecfb5c4d0ea997f1e8b238fc9f
Autor:
Yuan, Jiaqing, Pan, Lin, Hang, Chung-Wei, Guo, Jiang, Jiang, Jiarong, Min, Bonan, Ng, Patrick, Wang, Zhiguo
Large language models (LLMs) have shown remarkable performance on a variety of NLP tasks, and are being rapidly adopted in a wide range of use cases. It is therefore of vital importance to holistically evaluate the factuality of their generated outpu
Externí odkaz:
http://arxiv.org/abs/2404.16164