We develop a novel method for seismic event detection that can be applied to large-N arrays. The method is based on a new detection function named local similarity, which quantifies the signal consistency between the examined station and its nearest neighbors. Using the 5200-station Long Beach nodal array, we demonstrate that stacked local similarity functions can be used to detect seismic events with amplitudes near or below noise levels. We apply the method to one-week continuous data around the 03/11/2011 Mw 9.1 Tohoku-Oki earthquake, to detect local and distant events. In the 5–10 Hz range, we detect various events of natural and anthropogenic origins, but without a clear increase in local seismicity during and following the surface waves of the Tohoku-Oki mainshock. In the 1-Hz low-pass-filtered range, we detect numerous events, likely representing aftershocks from the Tohoku-Oki mainshock region. This high-resolution detection technique can be applied to both ultra-dense and regular array recordings for monitoring ultra-weak micro-seismicity and detecting unusual seismic events in noisy environments.

The increasing volume of seismic data from long-term continuous monitoring motivates the development of algorithms based on convolutional neural network (CNN) for faster and more reliable phase detection and picking. However, many less studied regions lack a significant amount of labeled events needed for traditional CNN approaches. In this paper, we present a CNN-based Phase-Identification Classifier (CPIC) designed for phase detection and picking on small to medium sized training datasets. When trained on 30,146 labeled phases and applied to one-month of continuous recordings during the aftershock sequences of the 2008 M W 7.9 Wenchuan Earthquake in Sichuan, China, CPIC detects 97.5% of the manually picked phases in the standard catalog and predicts their arrival times with a five-times improvement over the ObsPy AR picker. In addition, unlike other CNN-based approaches that require millions of training samples, when the off-line training set size of CPIC is reduced to only a few thousand training samples the accuracy stays above 95%. The online implementation of CPIC takes less than 12 hours to pick arrivals in 31-day recordings on 14 stations. In addition to the catalog phases manually picked by analysts, CPIC finds more phases for existing events and new events missed in the catalog. Among those additional detections, some are confirmed by a matched filter method while others require further investigation. Finally, when tested on a small dataset from a different region (Oklahoma, US), CPIC achieves 97% accuracy after fine tuning only the fully connected layer of the model. This result suggests that the CPIC developed in this study can be used to identify and pick P/S arrivals in other regions with no or minimum labeled phases.

Reading plays a dominant role among the four skills in foreign language acquisition for college students. Unfortunately, over the past few decades, English teaching practice shows that Chinese students are vulnerable in it. Both their reading speed and their reading skills are far from being satisfactory. Schema theory presents a very efficient course in developing students' reading skills and improving their reading abilities. Based on a descriptive research, this paper aims to expound on the schema theory, its activation and construction on college English reading class. The research shows that the application of the theory is fulfilled throughout the whole reading process by designing various activities before, during and after the reading. The results testifies the assumption that its application is beneficial to cultivate students' reading interest, quicken their reading speed and make proper judgments.

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Aims: To investigate the relationship between the expression of β-tubulinⅢ and survivin in advanced breast cancers and chemotherapeutic effects of docetaxel. Methods: Clinical pathological data of 74 patients with advanced breast cancer were retrospectively analyzed after docetaxel chemotherapy. Expression of β-tubulinⅢ and survivin was assessed by immunohistochemistry and analyzed with reference to therapeutical and adverse effects of docetaxel. Results: The positive expression rate of β-tubulinⅢ was 38.1% (32/84), while that of survivin was 76.2% (64/84). The effective rate (complete response + partial response) was 52.4%. That for patients with the positive expression of β-tubulinⅢ or/and survivin was significantly lower than for those with negative expression (P<0.05). There were significant differences in the non-progression of median diseases, 1-year and 2-year survival rates of between the patients with positive and negative expression (P<0.05). The main side effects were myelosuppression, alimentary canal response and alopecie, no differences being observed between groups. Conclusions: The combined detection of β-tubulinⅢ and survivin is a predictive index for chemotherapy effects of docetaxel in metastatic breast cancer.

AIMTo explore the role of macrophages in chronic pancreatitis (CP) and the effect of Dachaihu decoction (DCHD) on pancreatic fibrosis in mice.METHODSKunMing mice were randomly divided into a control group, CP group, and DCHD group. In the CP and DCHD groups, mice were intraperitoneally injected with 20% L-arginine (3 g/kg twice 1 d/wk for 6 wk). Mice in the DCHD group were administered DCHD intragastrically at a dose of 14 g/kg/d 1 wk after CP induction. At 2 wk, 4 wk and 6 wk post-modeling, the morphology of the pancreas was observed using hematoxylin and eosin, and Masson staining. Interleukin-6 (IL-6) serum levels were assayed using an enzyme-linked immunosorbent assay. Double immunofluorescence staining was performed to observe the co-expression of F4/80 and IL-6 in the pancreas. Inflammatory factors including monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein-1α (MIP-1α) and IL-6 were determined using real time-polymerase chain reaction. Western blot analysis was used to detect fibronectin levels in the pancreas.RESULTSCompared with the control group, mice with 20% L-arginine-induced CP had obvious macrophage infiltration and a higher level of fibrosis. IL-6 serum concentrations were significantly increased. Double immunofluorescence staining showed that IL-6 and F4/80 were co-expressed in the pancreas. With the administration of DCHD, the infiltration of macrophages and degree of fibrosis in the pancreas were significantly attenuated; IL-6, MCP-1 and MIP-1α mRNA, and fibronectin levels were reduced.CONCLUSIONThe dominant role of macrophages in the development of CP was mainly related to IL-6 production. DCHD was effective in ameliorating pancreatic fibrosis by inhibiting macrophage infiltration and inflammatory factor secretion in the pancreas.

DBTC joint Ethanol drinking can induce chronic pancreatitis in accordance with the pathophysiological modification of human. DBTC joint Ethanol-induced pancreatitis in mice is an effective and handy experimental method. The model is suitable to study the mechanism of pancreatic fibrosis in chronic pancreatitis.

The study investigates the incorporation and effectiveness of student written feedback and their attitudes towards peer feedback in writing class. Taking a qualitative case study approach, this study followes closely a class of thirty-two English juniors over one semester. Data sources include composition drafts, student written feedback and interviews. The data collected demonstrates that students generally accept peer feedback and incorporate most of their peers' comments and suggestions into their writing revision and that peer feedback provides them with more chances to discuss with their peers and understand their peers' suggestions on the composition improvement.