https://tuportal5.temple.edu/
Id Name Url Category TUportal My Schools & Colleges Information Technology Services TUportal6 RedirectToGroupHome_ Hidden
https://www.temple.edu/directory/li-bai-lbai
Accelerating GluCEST imaging using deep learning for B0 correction. Magn Reson Med, 84 (4), 1724-1733. United States. 10.1002/mrm.28289 Xie, D., Li, Y., Yang, H., Bai, L., Wang, T., Zhou, F., Zhang, L., & Wang, Z. (2020). Denoising arterial spin labeling perfusion MRI with deep machine learning. Magn Reson Imaging, 68, 95-105.
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
Similar to Lemma 1, we can also prove that the mapping satisfies the assumptions (H1-H5) in [37]. Next, given this contraction mapping, there exists a unique fixed-point based on the fixed-point theorem, i.e., the fixed point can be found by initializing the iterations with an arbitrary point.
https://sites.temple.edu/nsfcareerakt/files/2019/06/140601033-%E5%8D%9A%E5%A3%AB%E6%AF%95%E4%B8%9A%E8%AE%BA%E6%96%87.pdf
接着,研 究将基于KMT的专家教师教学策略应用于新手教师专业成长的培养中,同 时也将专家教师与新手教师的教学进行对比分析,得出新手教师专业发展的三个阶段:个 人经验主导阶段,教 材解读整合阶段和分析学生学习阶段。同时,研 究进一步构建了新手教师专业成长路径的模型,模型从三个方面描述了 ...
https://www.fox.temple.edu/sites/fox/files/targeting-crowdout-jmr19.pdf
yi 1⁄4 b0 þ b1 Treatedi low-fit condition, his or her high-fit genre would be included in the cross-genre þ b2 Targetedi þ ei: calculations (i.e., if we promote a low-fit book to a customer, by definition, that person’s high-fit genre will be one of the other nonpromoted genres).