271 research outputs found

    Efficiency Research of Chinese Commercial Banks Based on Super-Efficiency DEA Method

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    Abstract This paper tries to analyze Chinese three types of bank's efficiency changes and differences, after the financial crisis, through the integrated use of DEA and super efficiency DEA method. The results show that: the efficiency of Chinese commercial Banks in general is on the rise, the comprehensive technical efficiency growth stems mainly from scale efficiency improvement, pure technical efficiency is stagnant, and scale efficiency presents convergence among all kinds of banks, while the technical level is the core strength of banks' current and future competition. Stateowned banks with the technology competitive advantage and scale efficiency improved, began to catch up with other banks, reversed the operational inefficiency; City commercial banks due to the system advantage were more easily to be in the efficient production frontier surface

    Direct observation of magnetic domains in phase separated Nd0.7Ca0.3MnO3 single crystals

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    The magnetic properties of single-crystalline Nd0.7Ca0.3MnO3 were studied with both macroscopic and microscopic probes. The magnetization shows large irreversibility behavior between zero-field-cooled and field-cooled data at low field, suggesting a phase separation driven by competition between ferromagnetic and antiferromagnetic phases. The scanning superconducting quantum interference device microscope observations under zero field gave clear evidence that the compound includes ferromagnetic regions as the ground state below Tc. It was also found that two different phase-separated states appear, depending on temperature. At T∼125 K, weak but finite spontaneous magnetization develops, while the magnetization is abruptly enhanced below 95 K, possibly reflecting an increase of the volume fraction of the ferromagnetic region. The present results support the phase separation scenario that fine ferromagnetic particles embedded in an antiferromagnetic matrix are magnetostatically coupled to each other to form a network of macroscopic sizes

    Robust Face Recognition System Based on a Multi-Views Face Database

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    In this chapter, we describe a new robust face recognition system base on a multi-views face database that derives some 3-D information from a set of face images. We attempt to build an approximately 3-D system for improving the performance of face recognition. Our objective is to provide a basic 3-D system for improving the performance of face recognition. The main goal of this vision system is 1) to minimize the hardware resources, 2) to obtain high success rates of identity verification, and 3) to cope with real-time constraints. Using the multi-views database, we address the problem of face recognition by evaluating the two methods PCA and ICA and comparing their relative performance. We explore the issues of subspace selection, algorithm comparison, and multi-views face recognition performance. In order to make full use of the multi-views property, we also propose a strategy of majority voting among the five views, which can improve the recognition rate. Experimental results show that ICA is a promising method among the many possible face recognition methods, and that the ICA algorithm with majority-voting is currently the best choice for our purposes

    MicroRNA miR-103a-3p targets NPAS3 to regulate progression of Alzheimer’s disease

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    Purpose: This study aimed at investigating miR-103a-3p expression, functional roles and underlying mechanism in regulating Alzheimer’s progression.Methods: RT-qPCR was used to assessed miR-103a-3p and NPAS3 expression in human neuroblastoma cells. Cell transfection of overexpressed or knocked down genes and CCK-8 assay measured cell viability while RT-qPCR was used to detect proliferation and apoptosis in biomarkers, Ki87 and PCNA, caspase-8 and caspase-3, respectively. Furthermore, luciferase assay was used to evaluate the luciferase activity while western blotting  analysis was applied to determine protein biomarkers regarding proliferation and apoptosis.Results: Expression of miR-103a-3p decreased but NPAS3 increased in AD cell lines. Overexpressed miR-103a-3p attenuated cell viability and NPAS3 bound miR-103a-3p to regulate AD progression. The inhibitory effect of miRNA on cell viability in AD was reversed by NPAS3.Conclusion: miR-103a-3p/NPAS3 might help to enrich knowledge on treatment of AD. Keywords: Alzheimer’s development, cell growth, cell proliferatio

    Izraženost surfaktantnog proteina B u bronhoalveolarnom ispirku terminske novorođenčadi sa sindromom respiracijskog distresa

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    The aim was to investigate the surfactant protein B (SP-B) expression in the bronchoalveolar lavage fluid (BALF ) of full-term neonates with respiratory distress syndrome (RD S). The enzyme-linked immunosorbent assay was performed to assess SP-B expression in BALF of 60 full-term neonates with RD S and 23 healthy neonates and correlation of SP-B level with RD S classification according to chest x-ray findings and PaO2/FiO2 before mechanical ventilation in neonates with RD S. The SP-B level was significantly lower in the RD S group (17.63±6.80 ng/mL) than in healthy neonates (103.95±6.38 ng/mL) (P<0.001). The SP-B level correlated positively with PaO2/ FiO2 before mechanical ventilation (r=0.838, P<0.001). Moreover, the lower the SP-B level, the more severe was the RD S as determined by chest x-ray (P<0.001). In conclusion, full-term neonates with RD S had reduced SP-B in BALF , which was related to the severity of RD S, suggesting that SP-B supplement may be an effective strategy in the treatment of RD S in full-term neonates.Cilj studije bio je ispitati izraženost surfaktantnog proteina B (SP-B) u bronhoalveolarnom ispirku (BALF ) terminske novorođenčadi sa sindromom respiracijskog distresa (SRD ). Izraženost SP-B određena je testom ELI SA u BALF 60 terminske novorođenčadi sa SRD i 23 zdrave novorođenčadi. Utvrđena je korelacija razine SP-B s klasifikacijom SRD prema rendgenskoj snimci prsišta i vrijednosti PaO2/FiO2 prije mehaničke ventilacije u novorođenčadi sa SRD . U skupini novorođenčadi sa SRD razina SP-B bila je značajno niža (17,63±6,80 ng/mL) od one u zdrave novorođenčadi (103,95±6,38 ng/ mL) (P<0,001). Utvrđena je pozitivna korelacija razine SP-B i PaO2/FiO2 prije mehaničke ventilacije (r=0,838, P<0,001). Štoviše, što je bila niža razina SP-B, to je teži bio SRD procijenjen prema rendgenskoj snimci prsišta (P<0,001). Zaključuje se da terminska novorođenčad sa SRD ima sniženu razinu SP-B u BALF i to je povezano s težinom SRD . Ovi nalazi ukazuju na to da bi dodatak SP-B mogla biti učinkovita strategija u liječenju SRD kod terminske novorođenčadi

    Contact printed Co/insulator/Co molecular junctions

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    The authors report the contact printing of a Au/Co double layer (total thickness ∼20–40nm) onto a self-assembled monolayer surface to form molecular junctions under ambient conditions. The feature size ranges from 50×50μm2 to 2×2 mm2. Grazing incident x-ray diffraction of the multilayer junction shows all expected Au peaks, while elemental Co was confirmed by energy dispersive spectroscopy. Film thickness, roughness, and density were characterized by x-ray reflectivity. I-V measurements show a prominent hysteresis, likely associated with charge trapping at the metal-organic interface, not an intrinsic feature of alkanedithiol molecules

    Data Pruning via Moving-one-Sample-out

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    In this paper, we propose a novel data-pruning approach called moving-one-sample-out (MoSo), which aims to identify and remove the least informative samples from the training set. The core insight behind MoSo is to determine the importance of each sample by assessing its impact on the optimal empirical risk. This is achieved by measuring the extent to which the empirical risk changes when a particular sample is excluded from the training set. Instead of using the computationally expensive leaving-one-out-retraining procedure, we propose an efficient first-order approximator that only requires gradient information from different training stages. The key idea behind our approximation is that samples with gradients that are consistently aligned with the average gradient of the training set are more informative and should receive higher scores, which could be intuitively understood as follows: if the gradient from a specific sample is consistent with the average gradient vector, it implies that optimizing the network using the sample will yield a similar effect on all remaining samples. Experimental results demonstrate that MoSo effectively mitigates severe performance degradation at high pruning ratios and achieves satisfactory performance across various settings.Comment: Accepted by the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023

    The Role of Temporal Acoustic Exaggeration in High Variability Phonetic Training: A Behavioral and ERP Study

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    High variability phonetic training (HVPT) has been found to be effective in helping adult learners acquire non-native phonetic contrasts. The present study investigated the role of temporal acoustic exaggeration by comparing the canonical HVPT paradigm without involving acoustic exaggeration with a modified adaptive HVPT paradigm that integrated key temporal exaggerations in infant-directed speech (IDS). Sixty native Chinese adults participated in the training of the English /i/ and /i/ vowel contrast and were randomly assigned to three subject groups. Twenty were trained with the typical HVPT paradigm (the HVPT group), twenty were trained under the modified adaptive approach with acoustic exaggeration (the HVPT-E group), and twenty were in the control group. Behavioral tasks for the pre- and post- tests used natural word identification, synthetic stimuli identification, and synthetic stimuli discrimination. Mismatch negativity (MMN) responses from the HVPT-E group were also obtained to assess the training effects in within- and across- category discrimination without requiring focused attention. Like previous studies, significant generalization effects to new talkers were found in both the HVPT group and the HVPT-E group. The HVPT-E group, by contrast, showed greater improvement as reflected in larger progress in natural word identification performance. Furthermore, the HVPT-E group exhibited more native-like categorical perception based on spectral cues after training, together with corresponding training-induced changes in the MMN responses to within- and across- category differences. These data provide the initial evidence supporting the important role of temporal acoustic exaggeration with adaptive training in facilitating phonetic learning and promoting brain plasticity at the perceptual and pre-attentive neural levels

    Competition between ferromagnetic metallic and paramagnetic insulating phases in manganites

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    La0.67Ca0.33Mn1−xCuxO3(x=0 and 0.15) epitaxial thin films were grown on the (100) LaAlO3 substrates, and the temperature dependence of their resistivity was measured in magnetic fields up to 12 T by a four-probe technique. We found that the competition between the ferromagnetic metallic (FM) and paramagnetic insulating (PI) phases plays an important role in the observed colossal magnetoresistance(CMR) effect. Based on a scenario that the doped manganites approximately consist of phase-separated FM and PI regions, a simple phenomenological model was proposed to describe the CMR effect. Using this model, we calculated the resistivity as functions of temperature and magnetic field. The model not only qualitatively accounts for some main features related to the CMR effect, but also quantitatively agrees with the experimental observations
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