Zobrazeno 1 - 10
of 114
pro vyhledávání: '"NI Ning"'
Publikováno v:
International Journal of Qualitative Studies on Health & Well-Being, Vol 18, Iss 1 (2023)
Purpose This qualitative study aimed to gather insights into the experiences of older adults after losing their only child and explore meaningful life needs as a basis for social interventions. Methods We conducted individual face-to-face interviews
Externí odkaz:
https://doaj.org/article/584a4f8e8be04e269e966e2d983dd88d
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
IntroductionThis systematic review and meta-analysis evaluates the overall effects of lifestyle interventions upon hepatic fat content and metabolism-related indicators among adults with metabolic associated fatty liver disease.MethodsIt was register
Externí odkaz:
https://doaj.org/article/558e1f4c96b34af2b5c5593111370a89
Publikováno v:
He jishu, Vol 44, Iss 10, Pp 1-9 (2021)
BackgroundFixed X-ray and γ-ray radiation dosimeters are important tools for evaluating the operational status of equipment and personnel safety. On-site calibration method of this type of instrument has gradually become a research hotspot. A mobile
Externí odkaz:
https://doaj.org/article/4e2b1232298f4f3e9ac4ec4f69fbd7f0
Publikováno v:
He jishu, Vol 45, Iss 2, Pp 020401-020401 (2022)
BackgroundWeak ionization current measurement is often needed in ionizing radiation detection, it is a great challenge due to extreme weak signal to be measured. Various types of interference sources need to be overcome for a wide measurement range.P
Externí odkaz:
https://doaj.org/article/9eca37b88b314b2ab8874f32904eb739
Remote sensing images (RSIs) in real scenes may be disturbed by multiple factors such as optical blur, undersampling, and additional noise, resulting in complex and diverse degradation models. At present, the mainstream SR algorithms only consider a
Externí odkaz:
http://arxiv.org/abs/2210.07751
Deep learning-based algorithms have greatly improved the performance of remote sensing image (RSI) super-resolution (SR). However, increasing network depth and parameters cause a huge burden of computing and storage. Directly reducing the depth or wi
Externí odkaz:
http://arxiv.org/abs/2210.07598
Single-image super-resolution (SR) with fixed and discrete scale factors has achieved great progress due to the development of deep learning technology. However, the continuous-scale SR, which aims to use a single model to process arbitrary (integer
Externí odkaz:
http://arxiv.org/abs/2110.15655
Autor:
Ni, Ning, Zhu, Yongxin
Publikováno v:
In Journal of Parallel and Distributed Computing March 2023 173:20-31
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Akademický článek
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