Prolonged grief disorder affects around 1 in 20 people, and we're starting to understand the neuroscience behind it For most people, the intense sting of grief eases with time. For some, however, persistent and painful grief remains, developing into prolonged grief disorder. A new review of the condition, which affects around 5 per cent of bereaved people, sheds light on how it develops. This could help doctors predict which recently bereaved people will benefit from extra support. The decision to include prolonged grief disorder (PGD) in the American Psychiatric Association's diagnostic manual in 2022 sparked intense debate over whether it was pathologising a normal human response to loss and imposing an arbitrary timeline on what constitutes "normal" grief.

Based on our large-scale study, we summarize our key findings as follows: Key findings.

We introduce a new dynamical system for sequentially observed multivariate count data.

Built upon Eq. 7, we have The architecture of surrogate models is modified to avoid overfitting. To make the conclusion clearer, we also report the performance of a general surrogate model, which is trained on the training set of target models. Specifically, the common sense in black-box attacks is that mounting attacks requires a surrogate model, which generalizes well on the test set. Similarly, "First" means only applying ETF to the first layer. We conduct experiments using GEFORCE RTX 2080 Ti, CPU AMD Ryzen 7 3700X @3.6 GHz.

Experimental results corroborate our theoretical findings.

We thank the reviewers [R1, R2, R3] for their valuable and constructive comments. We will follow R1's suggestion to clarify this Thank you for the suggestion. Our paper presents an empirical visualization of robust vs. non-robust NNs under adversarial attacks and WRN, ResNet50), which demonstrate that our TLA is not restricted to a single model architecture [R2]. Overall, we observe similar improvements using our proposed TLA method. We apologize for the confusion.

We thank the reviewers for their insightful feedback. We perform two new experiments to demonstrate the strength of ReColorAdv. In addition, we evaluated all attacks with 300 iterations of PGD. However, Song et al. uses a generative model to craft adversarial examples directly Zhang et al. is more similar to our work; they apply a single affine function to all pixels in an We will incorporate a discussion of similarities and differences to these works in the revised draft. Below are adversarial examples based on suggestions from R3, which we will also include in the paper.