Contractive De-noising Auto-encoder

Auto-encoder is a special kind of neural network based on reconstruction. De-noising auto-encoder (DAE) is an improved auto-encoder which is robust to the input by corrupting the original data first and then reconstructing the original input by minimizing the reconstruction error function. And contractive auto-encoder (CAE) is another kind of improved auto-encoder to learn robust feature by introducing the Frobenius norm of the Jacobean matrix of the learned feature with respect to the original input. In this paper, we combine de-noising auto-encoder and contractive auto- encoder, and propose another improved auto-encoder, contractive de-noising auto- encoder (CDAE), which is robust to both the original input and the learned feature. We stack CDAE to extract more abstract features and apply SVM for classification. The experiment result on benchmark dataset MNIST shows that our proposed CDAE performed better than both DAE and CAE, proving the effective of our method.Comment: Figures edite

Is promoting war trauma such a good idea?

A well-known medical journal, The Lancet, recently published an important systematic review and meta-analysis of mental disorder estimates in conflict settings, advocating for the scaling up of mental health interventions in such contexts. However, there is an assumption that the introduction of such treatments has no significant impact, except from a therapeutic one, in the settings they have been imported to. The authors' research in post-conflict northern Uganda analyzed the social impact of mental health interventions addressing post-traumatic stress disorder (PTSD) and showed that promoting trauma has had considerable socio-economic ramifications on the wider society. The introduction of trauma narratives has created a market where some are able to thrive, but many deeply troubled individuals remain invisible. The authors found no social benefits from promoting trauma, and few positive effects for individuals. Arguments for urgently upscaling mental health interventions of the kinds highlighted by the review in The Lancet, and which the authors have observed on the ground, should be treated with caution

Separation of the Longitudinal and Transverse Cross Sections in the p(ee'K)Lambda and p(ee'K)Sigma Reactions

We report measurements of cross sections for the reaction p(e,e'K)Y, for both the Lambda and Sigma_0 hyperon states, at an invariant mass of W=1.84 GeV and four-momentum transfers 0.5<Q2<2 (GeV/c)2. Data were taken for three values of virtual photon polarization, allowing the decomposition of the cross sections into longitudinal and transverse components. The Lambda data is a revised analysis of prior work, whereas the Sigma_0 results have not been previously reported.Comment: 17 pages, 18 figures, REVTEX 4, submitted to Physical Review