Hennekam Syndrome: A Case Report

Hennekam syndrome is a rare autosomal recessive disorder resulting from malformation of the lymphatic system. The characteristic signs of Hennekam syndrome are lymphangiectasia, lymph edema, facial anomalies, and mental retardation. This is a case in which a patient presented with left-arm lymphedema, facial-feature anomalies, and multiple organ lymphangiectasia consistent with symptoms of Hennekam syndrome. There is no curative therapy at this time, but rehabilitative treatments including complete decongestive therapy for edema control appeared to be beneficial

Structural performance experiment by moving cart to mount measurement sensors

The development of a measurement system for the purpose of structural performance evaluation has been needed. This work introduces a moving cart system on which to mount measurement sensors to measure acceleration and sound pressure in the time domain and an impact hammer for external excitation. The measurement data are utilized to evaluate the structural performance based on a mixed approach to directly and indirectly collect response data by a microphone and an accelerometer, respectively. The reliability of the measurement data is improved by the utilization of multiple sensors. The structural state is investigated by the power spectral density estimate (PSE) or proper orthogonal mode (POM) of the sound pressure and acceleration data. The applicability of the system is illustrated in a field test

Comparative Interactomes of VRK1 and VRK3 with Their Distinct Roles in the Cell Cycle of Liver Cancer

Vaccinia-related kinase 1 (VRK1) and VRK3 are members of the VRK family of serine/threonine kinases and are principally localized in the nucleus. Despite the crucial roles of VRK1/VRK3 in physiology and disease, the molecular and functional interactions of VRK1/VRK3 are poorly understood. Here, we identified over 200 unreported VRK1/VRK3-interacting candidate proteins by affinity purification and LC-MS/MS. The networks of VRK1 and VRK3 interactomes were found to be associated with important biological processes such as the cell cycle, DNA repair, chromatin assembly, and RNA processing. Interactions of interacting proteins with VRK1/VRK3 were confirmed by biochemical assays. We also found that phosphorylations of XRCC5 were regulated by both VRK1/VRK3, and that of CCNB1 was regulated by VRK3. In liver cancer cells and tissues, VRK1/VRK3 were highly upregulated and its depletion affected cell cycle progression in the different phases. VRK3 seemed to affect S phase progression and G2 or M phase entry and exit, whereas VRK1 affects G1/S transition in the liver cancer, which could be explained by different interacting candidate proteins. Thus, this study not only provides a resource for investigating the unidentified functions of VRK1/VRK3, but also an insight into the regulatory roles of VRK1/VRK3 in biological processes.11Ysciescopuskc

Non-Profiled Side Channel Attack based on Deep Learning using Picture Trace

In this paper, we suggest a new format for converting side channel traces to fully utilize the deep learning schemes. Due to the fact that many deep learning schemes have been advanced based on MNIST style datasets, we convert from raw-trace based on float or byte data to picture-formatted trace based on position. This is induced that the best performance can be acquired from deep learning schemes. Although the overfitting cannot be avoided in our suggestion, the accuracy for validation outperforms to previous results of side channel analysis based on deep learning. Additionally, we provide a novel criteria for attack success or fail based on statistical confidence level rather than rule of thumb. Even though the data storage is slightly increased, our suggestion can completely be recovered the correct key compared to previous results. Moreover, our suggestion scheme has a lot of potential to improve side channel attack

The effect of the stacking fault on the diffusion of chemisorbed hydrogen atoms inside few-layered graphene

We examined the diffusion of hydrogen atoms in mono-, bi- and tetralayer graphene with AB stacking and two bilayer graphene with stacking faults using density functional theory. The bi- and tetralayer graphene provide diffusion pathways with lower energy barriers inside the interlayer space. Inside the bi- and tetralayer graphene with AB stacking, the in-plane diffusion is more favorable than the inter-plane jumping. However, the stacking faults made by sliding layer planes lowers the energy barrier of the inter-plane jumping and the effective frequency of the inter-plane jump is larger than that of the in-plane diffusion inside the graphene layers with the stacking faults. This suggests that hydrogen atoms can diffuse over a long distance inside few-layered graphene with stacking faults jumping consecutively between adjacent layers.close0