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Supplemental material, sj-pdf-3-jcb-10.1177_0271678X231165653 for H3K9 trimethylation dictates neuronal ferroptosis through repressing Tfr1 by Ting Lan, Liye Hu, Tingting Sun, Xuechun Wang, Zhongnan Xiao, Danmin Shen, Weihua Wu, Zhaoli Luo, Chao Wei, Xiaotong Wang, Meng Liu, Yi Guo, Liyong Wang, Yamei Wang, Yabin Lu, Yan Yu, Fei Yang, Chenguang Zhang and Qian Li in Journal of Cerebral Blood Flow & Metabolism

Supplemental material, sj-pdf-4-jcb-10.1177_0271678X231165653 for H3K9 trimethylation dictates neuronal ferroptosis through repressing Tfr1 by Ting Lan, Liye Hu, Tingting Sun, Xuechun Wang, Zhongnan Xiao, Danmin Shen, Weihua Wu, Zhaoli Luo, Chao Wei, Xiaotong Wang, Meng Liu, Yi Guo, Liyong Wang, Yamei Wang, Yabin Lu, Yan Yu, Fei Yang, Chenguang Zhang and Qian Li in Journal of Cerebral Blood Flow & Metabolism

In this paper, we considered the neural network image restoration algorithm based on harmonic model and improved the efficiency of the algorithm. After analyzing the complexity of the algorithm, I found that the storage of the connection weight wastes a lot of spaces. And when I made a deeper analysis of the, I found that there are many duplicated elements, and the distribution of the elements is regular. So I started from this point to improve the algorithm, and simplified the calculation of the connection weights matrix, and avoided a large amount of data storage. As a result, the space complexity reduced to from, meanwhile, the time complexity is improved. This is a great improvement. At last, I made some data simulation experiment, and the result give a further description of the algorithm.