Click on a Cluster: A Viable Approach to Scale Software-Based Routers

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Research on Postgraduates’ Physical Exercise Behavior and Motivation

In China, graduate students are facing heavy pressure from study, work and life. In order to change this situation, many colleges and universities have set up PE elective courses, but the proportion of elective courses is generally low, and the health status of students has not been fundamentally improved. The purpose of this study is to investigate the current situation and motivation of Postgraduates\u27 physical exercise, and explore ways to attract more postgraduates to participate in physical exercise and promote their health. The study mainly adopts the methods of experiment and questionnaire. Two classes of students who chose PE elective courses are selected as the experimental objects. Students in Experimental class were given motivation stimulation, while another class were not. Sports stimulation includes combing family health history, inculcating the role through cases, monitoring students\u27 physique, etc. The two classes had same exercise time (once a week, 90 minutes each time), same exercise method (intermittent cycle training for 16 weeks). In addition, this study uses Professor Chen Shanping\u27s sports motivation scale to conduct a questionnaire survey on the graduate students participating in the experiment. Pearson analysis method in SPSS software was conducted to analyze the correlation between sports motivation and sports behavior. The students in the experimental class exercise better after class than those in the control class. Girls\u27 physical and social motivation of physical exercise is much higher than boys, while boys\u27 ability and motivation of physical exercise are significantly higher than boys. Different physical exercise motives have significant effects on physical exercise methods and physical exercise frequency. It is concluded that motivation stimulation is conducive to the formation of exercise behavior and there is a positive correlation between physical exercise motivation and physical exercise behavior

Going Far Boosts Attack Transferability, but Do Not Do It

Deep Neural Networks (DNNs) could be easily fooled by Adversarial Examples (AEs) with an imperceptible difference to original ones in human eyes. Also, the AEs from attacking one surrogate DNN tend to cheat other black-box DNNs as well, i.e., the attack transferability. Existing works reveal that adopting certain optimization algorithms in attack improves transferability, but the underlying reasons have not been thoroughly studied. In this paper, we investigate the impacts of optimization on attack transferability by comprehensive experiments concerning 7 optimization algorithms, 4 surrogates, and 9 black-box models. Through the thorough empirical analysis from three perspectives, we surprisingly find that the varied transferability of AEs from optimization algorithms is strongly related to the corresponding Root Mean Square Error (RMSE) from their original samples. On such a basis, one could simply approach high transferability by attacking until RMSE decreases, which motives us to propose a LArge RMSE Attack (LARA). Although LARA significantly improves transferability by 20%, it is insufficient to exploit the vulnerability of DNNs, leading to a natural urge that the strength of all attacks should be measured by both the widely used $\ell_\infty$ bound and the RMSE addressed in this paper, so that tricky enhancement of transferability would be avoided

Phenomenological modeling of Geometric Metasurfaces

Metasurfaces, with their superior capability in manipulating the optical wavefront at the subwavelength scale and low manufacturing complexity, have shown great potential for planar photonics and novel optical devices. However, vector field simulation of metasurfaces is so far limited to periodic-structured metasurfaces containing a small number of meta-atoms in the unit cell by using full-wave numerical methods. Here, we propose a general phenomenological method to analytically model metasurfaces made up of arbitrarily distributed meta-atoms based on the assumption that the meta-atoms possess localized resonances with Lorentz-Drude forms, whose exact form can be retrieved from the full wave simulation of a single element. Applied to phase modulated geometric metasurfaces, our analytical results show good agreement with full-wave numerical simulations. The proposed theory provides an efficient method to model and design optical devices based on metasurfaces.Comment: 16 pages, 8 figure

Renal collecting duct carcinoma with extensive coagulative necrosis mimicking anemic infarct: report of a case and the literature review

Collecting duct carcinoma (CDC) with a mass of coagulative necrosis is very rare. We report here a case of CDC with extensive geographic coagulative necrosis mimicking anemic infarct with tumor cells embedded around the necrotic foci in a 73-years-old man. Histopathological examination showed that tumor nests near the necrotic foci were arranged as angulated tubules, tubulopapillary and glandular structures. Neoplastic cells had moderate to abundant eosinophilic cytoplasm and large hyperchromatic nuclei with prominent nucleoli as Fuhrman nuclear grade 3 or 4. The tumor cells were positive for pan-Cytokeratin, Vimentin, E-cadherin, CD10, and CK7, confirming the diagnosis as CDC. The patient is still alive 6 months later from nephrectomy, a long time following up is needed to learn the prognosis. Conclusively, morphology from different portions of the lesion, immunohistochemical stain and the combination analysis of the radiological features is essential to make a precise pathological diagnosis of CDC. And CDC should also be distinguished from clear cell renal cell carcinoma, renal medullary carcinoma, urothelial carcinoma with glandular differentiation, renal neuroendocrine tumor, renal epithelioid angiomyolipoma, renal pigmented paraganglioma and renal mesenchymal chondrosarcoma etc. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/126427052597503

Rock glacier inventory of the western Nyainqêntanglha Range, Tibetan Plateau, supported by InSAR time series and automated classification

The western Nyainqêntanglha Range on the Tibetan Plateau reaches an elevation of 7,162 m and is characterized by an extensive periglacial environment under semi-arid climatic conditions. Rock glaciers play an important part of the water budget in high mountain areas and recent studies suggest that they may even act as climate-resistant water storages. In this study we present the first rock glacier inventory of this region containing 1,433 rock glaciers over an area of 4,622 km. To create the most reliable inventory we combine manually created rock glacier outlines with an automated classification approach. The manual outlines were generated based on surface elevation data, optical satellite imagery and a surface velocity estimation. This estimation was generated via InSAR time series analysis with Sentinel-1 data from 2016 to 2019. Our pixel-based automated classification was able to correctly identify 87.8% of all rock glaciers in the study area at a true positive rate of 69.5%. In total, 65.9% of rock glaciers are classified as transitional with surface velocities of 1–10 cm/yr. In total, 18.5% are classified as active with higher velocities of up to 87 cm/yr. The southern windward side of the mountain range contains more numerous and more active rock glaciers. We attribute this to higher moisture availability supplied by the Indian Monsoon