Zobrazeno 1 - 10
of 2 137
pro vyhledávání: '"Cai Liu"'
Autor:
Yan-Xing Yang, Cheng-Yu Jiang, Liang-Long Huang, Zi-Hao Zhu, Chang-Sheng Chen, Qiong Wu, Zhao-Feng Ding, Cheng Tan, Kai-Wen Chen, Pabi K. Biswas, Adrian D. Hillier, You-Guo Shi, Cai Liu, Le Wang, Fei Ye, Jia-Wei Mei, Lei Shu
Publikováno v:
npj Quantum Materials, Vol 9, Iss 1, Pp 1-7 (2024)
Abstract The vacancy effect in quantum spin liquid (QSL) has been extensively studied. A finite density of random vacancies in the Kitaev model can lead to a pileup of low-energy density of states (DOS), which is generally experimentally determined b
Externí odkaz:
https://doaj.org/article/d9911185d2394e348e20a04735de7bb7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Establishing prediction models of pregnancy outcomes for recurrent pregnancy loss women at specific gestational weeks will provide patients and physicians with more precise information, ultimately leading to time and cost savings associated
Externí odkaz:
https://doaj.org/article/8085ea5bee38451690d907536f3b4238
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. However, effective diagnostic, therapeutic and prognostic biomarkers are still lacking. Our research group previously revealed through high-throughp
Externí odkaz:
https://doaj.org/article/c4ea4636f2d044dd8f3047aea9c19772
Publikováno v:
地球与行星物理论评, Vol 55, Iss 3, Pp 358-368 (2024)
A tight sandstone gas reservoir is characterized by low porosity and permeability. The existence of fractures can improve the permeability of the reservoir, and fractures are a vital storage space and migration channel of oil and gas. The development
Externí odkaz:
https://doaj.org/article/7f59f2547e50413b883ccd8a8e9b5761
Autor:
Yongqing Cai, Yuan Wang, Zhanyang Hao, Yixuan Liu, Xuelei Sui, Zuowei Liang, Xiao-Ming Ma, Fayuan Zhang, Zecheng Shen, Chengcheng Zhang, Zhicheng Jiang, Yichen Yang, Wanling Liu, Qi Jiang, Zhengtai Liu, Mao Ye, Dawei Shen, Han Gao, Hanbo Xiao, Zhongkai Liu, Zhe Sun, Yi Liu, Shengtao Cui, Jiabin Chen, Le Wang, Cai Liu, Junhao Lin, Bing Huang, Zhenyu Wang, Xianhui Chen, Jia-Wei Mei, Jianfeng Wang, Chaoyu Chen
Publikováno v:
Communications Materials, Vol 5, Iss 1, Pp 1-7 (2024)
Abstract Quantum confinement is a restriction on the motion of electrons in a material to specific region, resulting in discrete energy levels rather than continuous energy bands. In certain materials, quantum confinement could dramatically reshape t
Externí odkaz:
https://doaj.org/article/3559949457ce4ce892f6a06cfe5dba6c
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Objective We aimed to investigate the significance of autophagy proteins and their association with clinical data on pregnancy loss in polycystic ovary syndrome (PCOS), while also constructing predictive models. Methods This study was a seco
Externí odkaz:
https://doaj.org/article/c09501263e134f27a1c44f417ea8d25f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/aa6ed3a80b9348069cd55d1fd5f65a7c
Publikováno v:
Materials, Vol 17, Iss 20, p 5018 (2024)
Rubber concrete (RC) has been used in fatigue-resistant components due to its durability, yet the numerical simulation of its fatigue properties remains in its early stages. This study proposes a cohesive zone model (CZM) that accounts for the accumu
Externí odkaz:
https://doaj.org/article/ad4e0a532a4c4555882d68999be42b0f
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3615 (2024)
The Changbai volcano, a globally recognized hotspot of volcanic activity, has garnered significant attention due to its persistent seismicity and ongoing magma activity. The volcano’s discontinuities and magma dynamics have raised concerns about th
Externí odkaz:
https://doaj.org/article/fe4139a7550a400cb06a8a38af57871f
Publikováno v:
Gynecological Endocrinology, Vol 40, Iss 1 (2024)
AbstractObjective We aimed to screen and construct a predictive model for pregnancy loss in polycystic ovary syndrome (PCOS) patients through machine learning methods.Methods We obtained the endometrial samples from 33 PCOS patients and 7 healthy con
Externí odkaz:
https://doaj.org/article/30a743052cc84f5da7c3b9b7888f61b9