A Novel Method of Sentence Ordering Based on Support Vector Machine

PACLIC 23 / City University of Hong Kong / 3-5 December 200

Game and Balance Multicast Architecture Algorithms for Sensor Grid

We propose a scheme to attain shorter multicast delay and higher efficiency in the data transfer of sensor grid. Our scheme, in one cluster, seeks the central node, calculates the space and the data weight vectors. Then we try to find a new vector composed by linear combination of the two old ones. We use the equal correlation coefficient between the new and old vectors to find the point of game and balance of the space and data factorsbuild a binary simple equation, seek linear parameters, and generate a least weight path tree. We handled the issue from a quantitative way instead of a qualitative way. Based on this idea, we considered the scheme from both the space and data factor, then we built the mathematic model, set up game and balance relationship and finally resolved the linear indexes, according to which we improved the transmission efficiency of sensor grid. Extended simulation results indicate that our scheme attains less average multicast delay and number of links used compared with other well-known existing schemes

Empagliflozin inhibits coronary microvascular dysfunction and reduces cardiac pericyte loss in db/db mice

BackgroundCoronary microvascular dysfunction (CMD) is a pathophysiological feature of diabetic heart disease. However, whether sodium-glucose cotransporter 2 (SGLT2) inhibitors protect the cardiovascular system by alleviating CMD is not known.ObjectiveWe observed the protective effects of empagliflozin (EMPA) on diabetic CMD.Materials and methodsThe mice were randomly divided into a db/db group and a db/db + EMPA group, and db/m mice served as controls. At 8 weeks of age, the db/db + EMPA group was given empagliflozin 10 mg/(kg⋅d) by gavage for 8 weeks. Body weight, fasting blood glucose and blood pressure were dynamically observed. Cardiac systolic and diastolic function and coronary flow reserve (CFR) were detected using echocardiography. The coronary microvascular structure and distribution of cardiac pericytes were observed using immunofluorescence staining. Picrosirius red staining was performed to evaluate cardiac fibrosis.ResultsEmpagliflozin lowered the increased fasting blood glucose levels of the db/db group. The left ventricular ejection fraction, left ventricular fractional shortening, E/A ratio and E/e′ ratio were not significantly different between the three groups. CFR was decreased in the db/db group, but EMPA significantly improved CFR. In contrast to the sparse and abnormal expansion of coronary microvessels observed in the db/db group, the number of coronary microvessels was increased, and the capillary diameter was decreased in the db/db + EMPA group. The number and microvascular coverage of cardiac pericytes were reduced in the db/db mice but were improved by EMPA. The cardiac fibrosis was increased in db/db group and may alleviate by EMPA.ConclusionEmpagliflozin inhibited CMD and reduced cardiac pericyte loss in diabetic mice

Aberrant Dynamic Functional Connectivity of Posterior Cingulate Cortex Subregions in Major Depressive Disorder With Suicidal Ideation

Accumulating evidence indicates the presence of structural and functional abnormalities of the posterior cingulate cortex (PCC) in patients with major depressive disorder (MDD) with suicidal ideation (SI). Nevertheless, the subregional-level dynamic functional connectivity (dFC) of the PCC has not been investigated in MDD with SI. We therefore sought to investigate the presence of aberrant dFC variability in PCC subregions in MDD patients with SI. We analyzed resting-state functional magnetic resonance imaging (fMRI) data from 31 unmedicated MDD patients with SI (SI group), 56 unmedicated MDD patients without SI (NSI group), and 48 matched healthy control (HC) subjects. The sliding-window method was applied to characterize the whole-brain dFC of each PCC subregion [the ventral PCC (vPCC) and dorsal PCC (dPCC)]. In addition, we evaluated associations between clinical variables and the aberrant dFC variability of those brain regions showing significant between-group differences. Compared with HCS, the SI and the NSI groups exhibited higher dFC variability between the left dPCC and left fusiform gyrus and between the right vPCC and left inferior frontal gyrus (IFG). The SI group showed higher dFC variability between the left vPCC and left IFG than the NSI group. Furthermore, the dFC variability between the left vPCC and left IFG was positively correlated with Scale for Suicidal Ideation (SSI) score in patients with MDD (i.e., the SI and NSI groups). Our results indicate that aberrant dFC variability between the vPCC and IFG might provide a neural-network explanation for SI and may provide a potential target for future therapeutic interventions in MDD patients with SI

Contralateral delay activity tracks storage load in visual working memory: Evidence from the multiple object tracking task

Contralateral delay activity (CDA) is a measure used to assess the amount of information being stored in visual working memory (VWM). However, it has also been suggested that CDA reflects the current focus of spatial attention, as seen in a multiple-object tracking (MOT) task. This study aimed to determine whether the CDA observed was due to the storage requirements of VWM hiding behind the MOT task, potentially stemming from the feature (cue) masking of target items. To test this, whether participants needed to remember the tracked items were manipulated as masked or unmasked condition during the tracking phase. Our experiment showed that CDA occurred in both the masked and unmasked conditions, but the amplitude of CDA was sensitive to the load of items being tracked only in the masked condition. These findings suggest that CDA may be linked to both sustained attentional activation and representational storage, with the effect of tracking load on CDA seen only when storage in VWM is necessary during tracking. These results support the conclusion that CDA primarily be sensitive to VWM storage rather than the current focus of spatial attention

A Novel Method of Sentence Ordering Based on Support Vector Machine

Abstract. In this paper, we present a practical method of sentence ordering in extractive multi-document summarization tasks of Chinese language. By using Support Vector Ma-chine (SVM), we classify the sentences of a summary into several groups in rough position according to the source documents. Then we adjust the sentence sequence of each group ac-cording to the estimation of directional relativity of adjacent sentences, and find the sequence of each group. Finally, we connect the sequences of different groups to generate the final order of the summary. Experimental results indicate that this method works better than most existing methods of sentence ordering

Copper Oxide Nanoparticle-Based Immunosensor for Zearalenone Analysis by Combining Automated Sample Pre-Processing and High-Throughput Terminal Detection

A rapid and high-throughput fluorescence detection method for zearalenone (ZEN) based on a CuO nanoparticle (NP)-assisted signal amplification immunosensor was developed using an automated sample pretreatment and signal conversion system. CuO NPs with high stability and biocompatibility were used as carriers to immobilize anti-ZEN antibodies. The obtained CuO NP-anti-ZEN can maintain the ability to recognize target toxins and act as both a signal source and carrier to achieve signal conversion using automated equipment. In this process, target toxin detection is indirectly transformed to Cu2+ detection because of the large number of Cu2+ ions released from CuO NPs under acidic conditions. Finally, a simple and high-throughput fluorescence assay based on a fluorescent tripeptide molecule was employed to detect Cu2+, using a multifunctional microporous plate detector. A good linear relationship was observed between the fluorescence signal and the logarithm of ZEN concentration in the range of 16.0–1600.0 μg/kg. Additionally, excellent accuracy with a high recovery yield of 99.2–104.9% was obtained, which was concordant with the results obtained from LC-MS/MS of naturally contaminated samples. The CuO NP-based assay is a powerful and efficient screening tool for ZEN detection and can easily be modified to detect other mycotoxins

High flux Fe/activated carbon membranes for efficient degradation of organic pollutants in water by activating sodium persulfate

Efficient removal of organic pollutants in water is an important task and difficult problem in environmental treatment. In this paper, activated carbon supported Fe ions catalyst (Fe/AC) was prepared by a modulated hydrothermal approach for catalytic activating sodium persulfate (PS) to remove trace of humic acid (HA) in water. The effect of the dosage of Fe/AC and PS, the initial content of HA, pH, temperature, inorganic salt on the degradation of HA were analyzed. At the optimum condition, the advanced oxidation system achieved removal efficiencies of HA, TOC and chromaticity of 99.92%, 70.50% and 96.43%, respectively by adding 1.0 g/L Fe/AC and 0.30 g/L PS into 30 mg/L HA solution for 2 h. With increasing temperature and ionic concentration, the degradation rate was promoted. The regeneration efficiency of the catalyst was 66.70% as the reduction of active sites in AC. Electron paramagnetic resonance (EPR) and quenching tests were used to investigate the mechanism and both sulfate radicals (center dot & nbsp;SO4-) and hydroxyl radicals (center dot & nbsp;OH) were verified as dominant force responsible for HA degradation. Furthermore, a constant HA solution with PS was cross-flow filtrated by Fe/AC membrane within 20 h with excellent rejection of HA (93.33%) and high flux (298.8 L.m(-2).h(-1)) under 0.1 MPa. The loaded Fe/AC effectively reduced the membrane fouling by HA and the coupled technology improved activation capacity of the Fe/AC. Other pollutions including amoxicillin, rhodamine B and methyl orange were employed to investigate the performance of the catalytic membrane. The combined technology exhibits an excellent performance of removing organic pollutants from water and provides a new idea for water environmental management

Microstructure and Corrosion Behavior of Laser-Cladding CeO2-Doped Ni-Based Composite Coatings on TC4

Laser-cladding CeO2-doped Ni-based composite coatings were prepared on the surface of a titanium alloy, and the effects of CeO2 addition on the microstructure, microhardness, and corrosion resistance of the prepared coatings were studied. The results showed that TiC, NiTi, Ni3Ti, and Ti2Ni phases were formed on the prepared coatings. Moreover, the addition of CeO2 in laser-cladding coatings effectively refined the microstructure and reduced the number of cracks generated in the laser-cladding process. When the amount of CeO2 was 2%, the number of cracks in the laser-cladding coating was significantly reduced compared with that of 0%. When the content of CeO2 was 2% or 3%, the microhardness of laser-cladding coatings reached the maximum value. At the same time, it was found that the appropriate addition of CeO2 was helpful to improve the corrosion resistance of the laser-cladding coating. However, excessive CeO2 addition could reduce the corrosion resistance of the laser-cladding coating