Zobrazeno 1 - 10
of 1 584
pro vyhledávání: '"Wang Xiaoxu"'
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 4, Pp 88-102 (2023)
In recent years, three-dimensional textile composites have been widely used in major national defense projects due to their excellent overall performance, rich structure, and net shape. Among them, the theoretical research of three-dimensional specia
Externí odkaz:
https://doaj.org/article/d2263d2c0cb740d1aca3f8c5771c69bd
Publikováno v:
E3S Web of Conferences, Vol 490, p 01020 (2024)
The pollution level of aldehydes and ketones in indoor air, floor, coating, and furniture samples was analyzed by using high-performance liquid chromatography(HPLC). The study showed that 30 rooms were detected with different concentrations of aldehy
Externí odkaz:
https://doaj.org/article/e03d3cf8bdf4442ca1cec8c8c00fb2d1
Autor:
Wang Xiaoxu
Publikováno v:
Sovremennye Issledovaniâ Socialʹnyh Problem, Vol 14, Iss 1, Pp 205-213 (2022)
Purpose. The article is devoted to the study of the functioning of the names of the seasons in Russian poetry of the XX–XXI centuries. The relevance of this work is due to the insufficient elaboration of a number of issues concerning the aesthetic
Externí odkaz:
https://doaj.org/article/3a59e6b1a0b244078bbb3b2dc0870d4a
Autor:
Zeng, Boshen, Chen, Sian, Liu, Xinxin, Chen, Changhong, Deng, Bin, Wang, Xiaoxu, Gao, Zhifeng, Zhang, Yuzhi, E, Weinan, Zhang, Linfeng
Advancements in lithium battery technology heavily rely on the design and engineering of electrolytes. However, current schemes for molecular design and recipe optimization of electrolytes lack an effective computational-experimental closed loop and
Externí odkaz:
http://arxiv.org/abs/2407.06152
Autor:
Wang, Ruoyu, Guo, Mingyu, Gao, Yuxiang, Wang, Xiaoxu, Zhang, Yuzhi, Deng, Bin, Chen, Xin, Shi, Mengchao, Zhang, Linfeng, Zhong, Zhicheng
Solid electrolytes with fast ion transport are one of the key challenges for solid state lithium metal batteries. To improve ion conductivity, chemical doping has been the most effective strategy, and atomistic simulation with machine-learning potent
Externí odkaz:
http://arxiv.org/abs/2406.18263
Autor:
Hu, Taiping, Huang, Haichao, Zhou, Guobing, Wang, Xinyan, Cheng, Zheng, Fu, Fangjia, Wang, Xiaoxu, Dai, Fuzhi, Yu, Kuang, Xu, Shenzhen
Uncontrollable dendrites growth during electrochemical cycles leads to low Coulombic efficiency and critical safety issues in Li metal batteries. Hence, a comprehensive understanding of the dendrite formation mechanism is essential for further enhanc
Externí odkaz:
http://arxiv.org/abs/2406.14025
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 46, Iss 12, Pp 1101-1106 (2019)
Objective To investigate the relation between PKM2 and related pathological features of osteosarcoma, to further explore the markers for predicting the prognosis of osteosarcoma patients. Methods We collected 88 cases of paraffin-embedded primary ost
Externí odkaz:
https://doaj.org/article/91cd0b00d4b942d59b76aa88ff562268
Bundle recommendations strive to offer users a set of items as a package named bundle, enhancing convenience and contributing to the seller's revenue. While previous approaches have demonstrated notable performance, we argue that they may compromise
Externí odkaz:
http://arxiv.org/abs/2312.11018
Autor:
Song, Meiyue, Yu, Zhihua, Wang, Jiaxin, Wang, Jiarui, Lu, Yuting, Li, Baicun, Wang, Xiaoxu, Huang, Qinghua, Li, Zhijun, Kanellakis, Nikolaos I., Liu, Jiangfeng, Wang, Jing, Wang, Binglu, Yang, Juntao
The conventional pretraining-and-finetuning paradigm, while effective for common diseases with ample data, faces challenges in diagnosing data-scarce occupational diseases like pneumoconiosis. Recently, large language models (LLMs) have exhibits unpr
Externí odkaz:
http://arxiv.org/abs/2312.03490
The optimality of Bayesian filtering relies on the completeness of prior models, while deep learning holds a distinct advantage in learning models from offline data. Nevertheless, the current fusion of these two methodologies remains largely ad hoc,
Externí odkaz:
http://arxiv.org/abs/2310.17187