Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Zhiwen Che"'
Publikováno v:
Fundamental Research, Vol 4, Iss 6, Pp 1455-1458 (2024)
In the post-Moore era, advanced packaging is becoming more critical to meet the everlasting demands of electronic products with smaller size, more powerful performance and lower cost. In this paper, developments in advanced packaging have been discus
Externí odkaz:
https://doaj.org/article/acbabc01925544fc83f0a13691a20cd5
Publikováno v:
Nano Research. 15:1269-1275
Ultra-small size metal nanoparticles (u-MNPs) have broad applications in the fields of catalysis, biomedicine and energy conversion. Herein, by means of a ligand-controlled synthesis strategy, series of Ru-based NPs with high dispersity and ultra-sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83449061b1c0598faa2d0bb8420b160d
https://doi.org/10.1007/s12274-021-3645-z
https://doi.org/10.1007/s12274-021-3645-z
Autor:
Lei Wang, Zhiwen Chen, Yi Xiao, Linke Huang, Xiyang Wang, Holly Fruehwald, Dmitry Akhmetzyanov, Mathew Hanson, Zuolong Chen, Ning Chen, Brant Billinghurst, Rodney D. L. Smith, Chandra Veer Singh, Zhongchao Tan, Yimin A. Wu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Achieving large-scale electrochemical CO2 reduction to multicarbon products with high selectivity using membrane electrode assembly (MEA) electrolyzers in neutral electrolyte is promising for carbon neutrality. However, the unsatisfactory mu
Externí odkaz:
https://doaj.org/article/33220e39ced947e5be879a7349511f06
Autor:
Sheng Wu, Zhiwen Chen, Xiaohong Zhou, Juanhong Lu, Yingping Tian, Yaozhou Jiang, Qinsong Liu, Zhong Wang, Hui Li, Lujiang Qu, Fuping Zhang
Publikováno v:
Poultry Science, Vol 103, Iss 12, Pp 104383- (2024)
ABSTRACT: Guizhou province in China is rich in indigenous chicken breeds, playing an essential role in the genetic improvement of modern chickens. Genetic diversity has decreased in recent decades due to accelerated breeding processes and changing co
Externí odkaz:
https://doaj.org/article/d700cf74b9ba4644a2c0a6cfe7273eb9
Publikováno v:
Electrochimica Acta. 426:140755
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::661aff9f3bf2867e3a32dbfe48f84481
https://doi.org/10.1016/j.electacta.2022.140755
https://doi.org/10.1016/j.electacta.2022.140755
Autor:
Li Liu, Corrinne E. Grover, Xianhui Kong, Josef Jareczek, Xuwen Wang, Aijun Si, Juan Wang, Yu Yu, Zhiwen Chen
Publikováno v:
PeerJ, Vol 12, p e17682 (2024)
To determine the genes associated with the fiber strength trait in cotton, three different cotton cultivars were selected: Sea Island cotton (Xinhai 32, with hyper-long fibers labeled as HL), and upland cotton (17–24, with long fibers labeled as L,
Externí odkaz:
https://doaj.org/article/d61e5a730a274bbc87e2dbbc36bdcf71
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Purpose To construct a radiomics-clinical nomogram model for predicting the risk of local and metastatic recurrence within 3 years after radical cystectomy (RC) of bladder cancer (BCa) based on the radiomics features and important clinical r
Externí odkaz:
https://doaj.org/article/1d1e780783074f59bbeb27fc599297b0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 983-998 (2024)
Object detection under hazy weather conditions is a huge challenge due to the serious obscuration by fog. Recently, to improve detection accuracy in inclement weather, some excellent specifically designed algorithms for foggy conditions have been pre
Externí odkaz:
https://doaj.org/article/42041921ca3e489e9f3eb8367aa428a6
Publikováno v:
IEEE Access, Vol 12, Pp 32668-32678 (2024)
Simultaneous vibration isolation and energy harvesting (SVIEH) are becoming increasingly attractive in suspension systems. However, there is a conflict between low natural frequency and large loading capacity. In addition, the energy harvesting perfo
Externí odkaz:
https://doaj.org/article/d105241e57e0436295fa7cdf9dde7c44
A Pseudo-Labeling Multi-Screening-Based Semi-Supervised Learning Method for Few-Shot Fault Diagnosis
Publikováno v:
Sensors, Vol 24, Iss 21, p 6907 (2024)
In few-shot fault diagnosis tasks in which the effective label samples are scarce, the existing semi-supervised learning (SSL)-based methods have obtained impressive results. However, in industry, some low-quality label samples are hidden in the coll
Externí odkaz:
https://doaj.org/article/d71bffc46c56473daeee44dc38d6470f