Zobrazeno 1 - 10
of 1 831
pro vyhledávání: '"WANG Zhaojun"'
Publikováno v:
Shipin Kexue, Vol 45, Iss 20, Pp 180-187 (2024)
In this study, we assessed the ameliorative effect of dietary intervention with freeze-dried tempeh powder prepared using different processes on protein malnutrition in BALB/c mice by blood biochemical analysis, histopathological assays and intestina
Externí odkaz:
https://doaj.org/article/1064292527e14049aa2d76f26d7ae052
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
As the growth of automated detection technology, traditional manual detection has gradually been replaced. To improve the effectiveness of defect detection, a HPLC/dual mode portable sorting device with deep learning and image processing is raised fo
Externí odkaz:
https://doaj.org/article/95454a4b37df43ba821c6d920aac9e40
Autor:
Cai Hongyan, Qiao Jing, Chen Siru, Yang Junting, Hölscher Christian, Wang Zhaojun, Qi Jinshun, Wu Meina
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 1528-1539 (2022)
Alzheimer’s disease (AD) is a progressive and degenerative disorder accompanied by cognitive decline, which could be promoted by mitochondrial dysfunction induced by mitochondrial Ca 2+ (mCa 2+) homeostasis Mitochondrial calcium uniporter (MCU), a
Externí odkaz:
https://doaj.org/article/bb9c8433172d4c4798315c6512d5fdd4
In this study, we focus on applying L-statistics to the high-dimensional one-sample location test problem. Intuitively, an L-statistic with $k$ parameters tends to perform optimally when the sparsity level of the alternative hypothesis matches $k$. W
Externí odkaz:
http://arxiv.org/abs/2410.14308
In this paper, we address conditional testing problems through the conformal inference framework. We define the localized conformal p-values by inverting prediction intervals and prove their theoretical properties. These defined p-values are then app
Externí odkaz:
http://arxiv.org/abs/2409.16829
In multiple changepoint analysis, assessing the uncertainty of detected changepoints is crucial for enhancing detection reliability -- a topic that has garnered significant attention. Despite advancements through selective p-values, current methodolo
Externí odkaz:
http://arxiv.org/abs/2409.15676
In this paper, we investigate alpha testing for high-dimensional linear factor pricing models. We propose a spatial sign-based max-type test to handle sparse alternative cases. Additionally, we prove that this test is asymptotically independent of th
Externí odkaz:
http://arxiv.org/abs/2408.06612
In recent years, there has been considerable research on testing alphas in high-dimensional linear factor pricing models. In our study, we introduce a novel max-type test procedure that performs well under sparse alternatives. Furthermore, we demonst
Externí odkaz:
http://arxiv.org/abs/2404.06984
Autor:
Zhao, Tianyu, Wang, Zhaojun, Shu, Manming, Zhang, Jingxiang, Liang, Yansheng, Wang, Shaowei, Lei, Ming
Over the past decade, structured illumination microscopy (SIM) has found its niche in super-resolution (SR) microscopy due to its fast imaging speed and low excitation intensity. However, due to the significantly higher light dose compared to wide-fi
Externí odkaz:
http://arxiv.org/abs/2402.02775
In this study, we explore a robust testing procedure for the high-dimensional location parameters testing problem. Initially, we introduce a spatial-sign based max-type test statistic, which exhibits excellent performance for sparse alternatives. Sub
Externí odkaz:
http://arxiv.org/abs/2402.01381