Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Qicai Wang"'
Autor:
Qicai Wang, Yu Wang, Jing Wu, Xing Xie, Hongping Qin, Chunni Huang, Zhongqing Li, Zhian Ling, Ruolin Li
Publikováno v:
Hematology, Vol 29, Iss 1 (2024)
Background: The BCL2 interacting protein 3-like (BNIP3L) protein is involved in multiple myeloma (MM) development and progression. This study aims to explore the connection between BNIP3L single-nucleotide polymorphisms (SNPs) and MM.Methods: SNaPsho
Externí odkaz:
https://doaj.org/article/90b15a27709b470780ef6b7db2912eaf
Publikováno v:
Journal of Engineered Fibers and Fabrics, Vol 19 (2024)
Texture represents the surface quality of fabrics, which is one of the key factors for textiles design. Fabric texture can be perceived via sensory perceptions, like vision and touching, causing different psychological feelings and emotions. This pap
Externí odkaz:
https://doaj.org/article/fd6b8f86760d45278e792ab219da15f2
Autor:
Fangmeng Zeng, Yiqian Zheng, Yuxin Wei, Han Li, Qicai Wang, Jian Shi, Yong Wang, Xinghua Hong
Publikováno v:
Polymers, Vol 15, Iss 21, p 4258 (2023)
Durability and multifunctionality are crucial considerations in the realm of electronic textiles. Herein, a hot-pressing process has been developed to enhance the fixation of silver nanowires (AgNWs) on polyethylene terephthalate (PET) fabric. The co
Externí odkaz:
https://doaj.org/article/d62d51b2da0543b59e3fd9d6e39901dc
Publikováno v:
IEEE Access, Vol 8, Pp 30548-30559 (2020)
Text classification is a pivotal task in NLP (Natural Language Processing), which has received widespread attention recently. Most of the existing methods leverage the power of deep learning to improve the performance of models. However, these models
Externí odkaz:
https://doaj.org/article/881c93adc3834af8b29ff2578d4a1884
Publikováno v:
Advances in Materials Science and Engineering, Vol 2022 (2022)
Recent studies have indicated that the addition of a diluent significantly affect its mechanical properties and performance of a coating, but no works have been reported on the influence of diluent content on the Young’s modulus of a coating, and t
Externí odkaz:
https://doaj.org/article/68ae59c8bd4540c2a7f63e2627a7d3ba
Publikováno v:
Materials, Vol 16, Iss 4, p 1326 (2023)
Steam curing, a common way of curing precast concrete, can greatly improve its 1-day strength. However, the thermal effect of prolonged high-temperature curing can negatively impact the concrete’s performance, thus compromising production of precas
Externí odkaz:
https://doaj.org/article/01080c10b0ca4d8aa38697636a47c790
Publikováno v:
Cancer Cell International, Vol 19, Iss 1, Pp 1-17 (2019)
Abstract Background Increasing evidences supported the association between long non-coding RNA (lncRNA) and disease free survival in gastric cancer (GC) patients. The purpose of the current study was to construct and verify a noninvasive preoperative
Externí odkaz:
https://doaj.org/article/0f036fb802be4a7db00be2c45c1f8a95
Publikováno v:
IEEE Access, Vol 7, Pp 160017-160028 (2019)
Aspect-level sentiment classification (ASC) has received much attention these years. With the successful application of attention networks in many fields, attention-based ASC has aroused great interest. However, most of the previous methods did not a
Externí odkaz:
https://doaj.org/article/d930b4a1b27348e0a260bcdd8879f679
Publikováno v:
Applied Sciences, Vol 9, Iss 21, p 4701 (2019)
As a core task of natural language processing and information retrieval, automatic text summarization is widely applied in many fields. There are two existing methods for text summarization task at present: abstractive and extractive. On this basis w
Externí odkaz:
https://doaj.org/article/7e9a1be760984af48c987afaf7d353b2
Publikováno v:
Materials, Vol 12, Iss 18, p 2984 (2019)
To improve the properties of ground granulated blast furnace slag (GGBS) and utilize ground granulated blast furnace slag efficiently, this study investigates the effect of fineness on the hydration activity index (HAI) of ground granulated blast fur
Externí odkaz:
https://doaj.org/article/69962f7464b64c2289881f532dc930c3