Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Xueyuan Lu"'
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective We explored the preliminary value of abnormal spindle-like microcephaly- associated (ASPM) protein in aiding precise risk sub-stratification, prediction of metabolic heterogeneity, and prognosis of neuroblastoma (NB). Methods This
Externí odkaz:
https://doaj.org/article/f8d1e9265d2344849b71617a88a54d28
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/85676987d25c431db352a4ff555ec911
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
IntroductionEnvironmental information disclosure is an important means to protect the ecological environment, and global climate change puts forward higher requirements for corporate environmental information disclosure. New energy companies play an
Externí odkaz:
https://doaj.org/article/91f85a9aa094484696362b3003552d60
Publikováno v:
International Journal of Environmental Research and Public Health. 20:4768
Family firms research is becoming one of the most important and promising areas for theoretical innovation in management practice. Corporate environmental behavior has attracted widespread academic attention, but the research on the environmental beh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9228e5731ab961e9d7f5832c6ee89e93
https://doi.org/10.3390/ijerph20064768
https://doi.org/10.3390/ijerph20064768
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:16084-16086
In this paper, we introduce ACAT-G, an interactive dialogue learning framework that incorporates constant human feedback into fine-tuning language models in order to assist conditioned dialog generation. The system takes in a limited amount of input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1c0eb5cd4d59651b825209c0285b6c1
https://doi.org/10.1609/aaai.v35i18.18019
https://doi.org/10.1609/aaai.v35i18.18019
Publikováno v:
Automatic Control and Computer Sciences. 51:97-107
The aqueous solubility of a drug is a significant factor for its bioavailability. Since many drugs on the market are the oral drugs, their absorption and metabolism in organisms are closely related to its aqueous solubility. As one of the most import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1efe4b58ed5b1ddab6c0a9d09959c115
https://doi.org/10.3103/s0146411617020043
https://doi.org/10.3103/s0146411617020043
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 13:1831-1839
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ee0d92270803c94113128c384662d8f
https://doi.org/10.1166/jctn.2016.5120
https://doi.org/10.1166/jctn.2016.5120
Publikováno v:
Land, Vol 11, Iss 12, p 2294 (2022)
The assessment of ecosystem services value is the basis for the realization of integrated management of these services. In recent decades, the hotspots of China’s newly added cropland have shifted to the Xinjiang oasis areas, where the ecological e
Externí odkaz:
https://doaj.org/article/a90bd40b22cf4dbbb39b34479d2c30b1
Autor:
Xueyuan Luo, Chenglin Bai, Xinyu Chi, Hengying Xu, Yaxuan Fan, Lishan Yang, Peng Qin, Zhiguo Wang, Xiuhua Lv
Publikováno v:
Photonics, Vol 9, Iss 12, p 919 (2022)
By combining the nonlinear impairment features derived from the first-order perturbation theory, we propose a nonlinear impairment compensation (NLC) scheme based on the transfer learning-assisted convolutional bidirectional long short-term Memory (C
Externí odkaz:
https://doaj.org/article/ed591b4d9c064c54928c55b42ec00cd4
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 780-794 (2024)
Knowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation. In order to decoup
Externí odkaz:
https://doaj.org/article/f06d958c81df42039104f732c50894fa