Search

Carya cathayensis canker disease is currently the most serious disease affecting pecan, to investigate the structural changes of bacterial diversity of pecan dry rot on the morbid and healthy bark, xylem and branch parts of pecan, and to fully explore the in vivo bacterial resources of pecan dry rot disease. The structural diversity of bacteria in different parts of healthy and diseased pecan trees under pecan dry rot infestation was analyzed by using DGGE denaturing gradient gel electrophoresis and high-throughput sequencing. Results, the diversity of in vivo bacteria in different parts of the pecan varied greatly, and the diversity of the mycota was ranked from largest to smallest in the order of bark, xylem and branches. 365 genera of in vivo bacteria were detected in the pecan, belonging to 28 phyla, 62 orders, 129 families and 206 families. During the onset of pecan dry rot, the affected branches were less affected, and the affected bark areas were most affected, followed by the affected xylem. It was also found that Bacillus and Panicoccus were the dominant bacterial genera in healthy tissues, and as beneficial bacteria, it was hypothesized that this genus might have potential biocontrol effects on pecan dry rot, which could help diagnose the control of pecan dry rot at an early stage and provide new ideas and references for biochemical control and biocontrol agent development. [ABSTRACT FROM AUTHOR]

In this study, high-throughput sequencing technique was used to analyze the differences in bacterial structure between the stem, needle and root parts of different resistant Pinus massoniana before and after Bursaphelenchus xylophilus infestation for the first time. It was found that with the infestation of Bursaphelenchus xylophilus, the magnitude of change in bacterial structure in different ecological niches of low and high resistant P. massoniana showed that pine stem > pine needles > root system. Firstly, the overall bacterial structure was more stable in different parts of high resistant P. massoniana compared to low- resistant P. massoniana. Secondly, the species and number of bacteria in each ecological site of different resistant P. massoniana were root > pine stem > pine needles. At the same time, the number and species of bacterial flora were much more in the highly-resistant P. massoniana than in the less resistant P. massoniana. It is inferred that resistance in P. massoniana is positively correlated with bacterial species and abundance in Pinus massoniana. The study also showed that most of the bacteria in the high-resistant P. massoniana were found in the root system, with fewer species and numbers of bacteria in the needle part, while bacteria in the low-resistant P. massoniana were also found in the needle and there was a significant change in the bacterial flora of it. Changes in the abundance of Methylobacterium spp., Pseudomonas spp., Pseudomonas spp., Pseudomonas spp., Hymenobacter spp. and Pantotrichum spp. within its branches were positively correlated with the infestation of B. xylophilus. The above findings can provide data to support the discovery of new biocontrol strains. [ABSTRACT FROM AUTHOR]

The aim of this study was to isolate the e ndogenous proteases in the shrimp head of Lito penaeus vannamei and investigate their enzymol ogy characterization. The results show that ther e are10 types of endogenous proteases existing in the shrimp head, which are successively iden tified as chymotrypsin, cathepsin L, collagenase, calpain, pepsin, metalloprotease, trypsin, serine protease, cathepsin B and MBSP, respectively. In addition, pH and temperature have a significan t impact on the activities of proteases P1, P4-P8, and their optimal pHs and temperature are in the range of 6.0-9.0 and 30-40 °C, respectively; proteases P5-P7 own better stability than that of other proteases; the optimal temperature for P1, P4-P8 stability is 30 °C, and that of other prot eases is 40 °C. In conclusion, proteases P1 to P10 are isolated and characterised, which is an i mportant support to develop high-quality condi ments and efficiently recover proteins from shri mp head waste. [ABSTRACT FROM AUTHOR]

Copyright of Revista Brasileira de Medicina do Esporte is the property of Redprint Editora Ltda. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Graphdiyne is a new carbon nanomaterial after graphene. It has excellent electrical properties and can be chemically modified. Here, a graphdiyne oxide-polyurethane nanocomposite (GDYO-PU) was synthesized by chemical coupling and characterized with Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HRTEM) and scanning electron microscopy (SEM). A GDYO-PU modified glassy carbon electrode (GCE) was applied as a non-enzymatic glucose electrode. The electrochemical property of the GDYO-PU electrode was investigated by cyclic voltammetry (CV), differential pulse voltammetry (DPV) and amperometry in the presence of [Fe(CN)6]3-/4- in 0.1 M NaOH alkaline solution and at the bias potential of 0.2 V. Fast electro-deposition was observed for the electrochemical deposition of Fe(CN)6 3-/4- on the GDYO-PU electrode surface. Under the optimized conditions, the calibration curve of the nano electrode is linear over the concentration range of 0.2 to 6.4 µM, with high sensitivity of 377 µAmM-1cm-2 as well as a low detection limit (LOD) of 0.1 µM (S/N = 3). The GDYO-PU nanocomposite based non-enzyme glucose electrode is therefore promising for analysis of tiny volume of biological samples, which meets the requirement of minimal invasive measurement in clinic and family care. [ABSTRACT FROM AUTHOR]

Ceramic material is equipped with obvious physical characteristic of high strength, high hardness, excellent insulation as well as chemical characteristics such as strong chemical stability and high temperature resistance. However, due to the physicochemical characteristics of ceramic materials, there are many problems in the processing and molding. Ceramic additive technology enables to successfully settle bottleneck of ceramic materials in the preparation of high-strength, complex components through the "bottom-up" manufacturing process. After over 30 years study, the ceramic additive technology has made great progress, and the technical research mainly focuses on technology and materials, and therefore, this paper classified ceramic additive technology according to the categories of raw materials, summarized the development of each technology, reviewed the design and development of 3D printing materials, and proposed the main problems and future development direction. [ABSTRACT FROM AUTHOR]

With the increasingly significant role of commodity packaging in the commodity economy, the packaging technology is growing stronger. More and more products are excessively pursuing exquisite packaging and colorful printing, and excessive packaging of products overwhelms the market, which not only harms the interests of consumers, but also causes serious damage to social resources and ecological environment. In this context, the concept of green product packaging design emerges as the times require. From the perspective of ecological environment protection, this paper analyzed the problems existing in modern product packaging and its impact on the ecological environment, and summarized the design methods of modern green packaging in order to reduce the impact of packaging waste on the ecological environment and provide some theoretical guidance for green product packaging design. [ABSTRACT FROM AUTHOR]

Environmental space design is the integrated design of a spatial synthesis of point, line, surface and volume. The idea and inspiration always depend on the expression of entity. CAD (Computer-Aided Design) is a computer aided tool of transferring design inspiration into drawings immediately. The CAD technology in modem environmental space design have been widely applied gradually. The application of CAD can not only improve efficiency and quality, but also it can more timely to gain construction drawings so that the design can be directly transferred into spatial entity. This paper briefly introduced the application status of CAD technology in domestic environmental space design field, and analyzed the hindrance and development trend of CAD application in environmental space design. [ABSTRACT FROM AUTHOR]

Gadolinium (III) tungstate nanoparticles (Gd2(WO4)3NPs) modified carbon paste electrode (CPE) was constructed and the electrocatalytic properties of the NPs-modified electrode toward the reduction of progesterone (P4) were analyzed. In relation to the Gd2(WO4)3NPs, wolframite structure, adsorption of P4 on the electrode surface occurred, which was characterized through X-ray diffraction (XRD), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Determination of P4 was performed with stripping cyclic voltammetry (CV) and fast Fourier transformation square-wave voltammetry (FFT-SWV) in 0.1 M Britton–Robinson buffer (BRB) solution at pH 11.5. On the other hand, participation of equal numbers of electrons and protons in the reduction reaction of P4 was observed. A reduction peak current at −1.35 V of P4 was obtained, which increased linearly with the P4 concentration in the range of 0.1 to 1.0 μM (R² = 0.972), with higher sensitivity of 485.64 μAμM−1 and a limit of detection (LOD) being 50 nM. Common hormones showed no obvious interference with the P4 biosensor’s response. Finally, the presented method was able to determine P4 simply and effectively in human blood plasma sample. [ABSTRACT FROM AUTHOR]

This article presents each link and the elements of the practical teaching system for nursing high-fidelity simulation. At the same time the role and status of the various elements in this system was analyzed. Points out it is a basic sign from the primary to mature that the construction of the practical teaching system for nursing high-fidelity simulation, and it is an important premise to improve the teaching quality. [ABSTRACT FROM AUTHOR]

Semi-supervised multi-view latent space learning is gaining considerable popularity recently in many machine learning applications due to the high cost and difficulty to obtain the large amount of label information of data. Although some semi-supervised multi-view latent space learning methods have been presented, there is still much space for improvement: 1) How to learn latent discriminant intact feature representations by employing data of multiple views; 2) How to exploit the manifold structure of both labeled and unlabeled point in the learned latent intact space effectively. To address the above issues, we propose an approach called semi-supervised multi-view manifold discriminant intact space learning (SM²DIS) for image classification in this paper. SM²DIS aims to seek a manifold discriminant intact space for data of different views by making use of both the discriminant information of labeled data and the manifold structure of both labeled and unlabeled data. Experimental results on MNIST, COIL-20, Multi-PIE, and Caltech-101 databases demonstrate the effectiveness and robustness of our proposed approach. [ABSTRACT FROM AUTHOR]

The Daqiao gold deposit is hosted in organic-rich Triassic pumpellyite-actinolite facies metamorphosed turbidites in the West Qinling orogen, central China. Gold mineralization is characterized by high-grade hydraulic breccias (B and C ores) that overprint an earlier tectonic breccia (A ore). A complex paragenesis is defined by four sulfide stages: SI diagenetic preore pyrite (py), S2 hydrothermal early ore disseminated pyrite and marcasite (me), S3 main ore pyrite and marcasite aggregates, and S4 late ore coarse-grained marcasite with minor pyrite and stibnite. However, multiple generations of pyrite and marcasite may develop within one individual stage. Ore-related hydrothermal alteration is dominated by intensive silicification, sulfidation, sericitization, and generally distal minor carbonatization. Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) trace element analyses show that the stage SI pyl from the shale interlayers within turbidites contains low gold contents (mean of 0.05 ppm) and other trace elements (Mn, Co, Ni, Cu, Mo, Bi, and Pb), indicating an anoxic to euxinic sedimentary environment. Stage S2 contributed only minimally to the gold endowment with relatively low gold in various sulfides including py2 (mean of 0.09 ppm), py3 (0.84 ppm) topy4 (0.70 ppm), along with mcl (0.02 ppm) and mc2 (0.14 ppm). Most of the gold was deposited in stage S3, which formed rapidly crystallized, irregular (e.g„ framboids, colloform and cyclic zonation) cement-hosted py5a (mean of27.35 ppm), py5b (9.71 ppm), and mc3 (5.94 ppm) during repeated hydraulic fracturing. Other trace elements (e.g., Ag, As, Sb, Hg, Tl, and W) are also significantly enriched in the main ore-stage pyrite and marcasite. Little or no gold is detected in the S4 py6 and mc4. Sulfur isotopes determined from in situ LA-multicollector (MC)-ICP-MS analyses of hydrothermal pyrite and marcasite from the Daqiao deposit vaiy significantly from -31.3 to 22.0%c (<5:!4S values) but fall mostly between -10 to 10%c and provide important information on the source and evolution of sulfur and of the ore-forming fluids. The results show that S2 ore fluids (mean μ34Ssuifide = -0.8 to 5.2%o) were most likely derived from deepseated Paleozoic carbonaceous sediments during regional metamorphism associated with orogenesis of the West Qinling orogen. Main ore S3 fluids (meanμ34Ssuifide = -9.7 to -6.0%o) are relatively depleted in 34S relative to those of S2, presumably due tofluid oxidation associated with hydraulic fracturing caused by the overpressurized fluids. The textural, chemical, and isotopic data indicate two distinct gold-introducing episodes at Daqiao, forming sulfide disseminations during early ore S2 and cement-hosted sulfide aggregates during main ore S3. The S2 mineralization took place in a tectonic breccia beneath low-permeability shale seals that capped the flow of deep-seated metamorphic fluids, facilitating reaction with preexisting carbonaceous material and the host turbidites toform sulfide disseminations and pervasive silicification. Raman spectroscopy analysis suggests that carbonaceous material in the ores is poorly crystallized, with low maturity, giving estimated temperatures of 283° to 355°C that are much higher than "those of the ore fluids (100°-240°C). This temperature difference indicates an in situ sedimentary origin modified by the regional pumpellyite-actinolite facies metamorphism for the carbonaceous material in the host rocks, rather than a hydrothermal origin. In S3, continuous flux of hydrothermal fluids caused fluid overpressure and consequent hydraulic fracturing of the competent silicified rocks. Subsequent rapid fluid pressure fluctuations led to phase separation and thus massive oxidation of ore fluids, which triggered fast precipitation of gold and other trace elements within the fine-grained irregular sulfides. Results presented here, in combination with geologic evidences, suggest that the Daqiao gold deposit can be best classified as the shallow-crustal epizonal orogenic type, genetically associated with orogenic deformation and regional metamorphism of the West Qinling orogen. [ABSTRACT FROM AUTHOR]

This paper focuses on finding, settling and reducing the program disturb error of 3D-TLC NAND flash memory. Experimental analysis of the FPGA test platform determines characteristics of the program disturb error. The program disturb error makes the state shift rate of storage cells lose balance. MSB, CSB and LSB pages have unbalanced bit error ratio and bit error rate distribution. The page program disturb bit error is unbalanced as the number of program/erase cycles changes. Based on the experimental results of the error rate imbalance, an error avoidance algorithm is designed, which can shift the data state that is subject to program disturb to one that is not vulnerable to program disturb. The test results show that the algorithm can reduce the error rate of program disturb by 20% to 90%. In this sense, the program disturb error phenomenon found and error avoidance algorithm designed in this paper are helpful for improving the reliability of 3D-TLC NAND flash memory. [ABSTRACT FROM AUTHOR]

Core-shell CuO-Cu2O nanowires with a surface amorphous Cu2-δO layer leads to high stability photocathodes for use in photoelectrochemical splitting of water. The nanowires are synthesized via carbothermal reduction of CuO nanowires at 300°C during which a 2-3 nm conformal and amorphous Cu2-δO layer is formed on the nanowire surface. This Cu2-δO layer enhances photocurrent and improves photocorrosion stability of the nanowires. While catalyst-free, pristine CuO nanowires show a photocurrent density is 0.50 mA/cm2 and a stability of 53% after 3.4 hours of testing at -0.50 V under AM1.5 G conditions; the catalyst-free, carbothermally reduced nanowires achieve a photocurrent density of 0.75 mA/cm2 and an improved stability of 96% under identical test conditions. The mechanism of enhanced photocurrent and its stability is discussed in the context of extensive pre and post test nanowire characterization. [ABSTRACT FROM AUTHOR]

Face recognition (FR) with a single sample per person (SSPP) is common in real-world face recognition applications. In this scenario, it is hard to predict intra-class variations of query samples by gallery samples due to the lack of sufficient training samples. Inspired by the fact that similar faces have similar intra-class variations, we propose a virtual sample generating algorithm called k nearest neighbors based virtual sample generating (kNNVSG) to enrich intra-class variation information for training samples. Furthermore, in order to use the intra-class variation information of the virtual samples generated by kNNVSG algorithm, we propose image set based multimanifold discriminant learning (ISMMDL) algorithm. For ISMMDL algorithm, it learns a projection matrix for each manifold modeled by the local patches of the images of each class, which aims to minimize the margins of intra-manifold and maximize the margins of inter-manifold simultaneously in low-dimensional feature space. Finally, by comprehensively using kNNVSG and ISMMDL algorithms, we propose k nearest neighbor virtual image set based multimanifold discriminant learning (kNNMMDL) approach for single sample face recognition (SSFR) tasks. Experimental results on AR, Multi-PIE and LFW face datasets demonstrate that our approach has promising abilities for SSFR with expression, illumination and disguise variations. [ABSTRACT FROM AUTHOR]

Recently, a finite element-least-square point interpolation method (FE-LSPIM) was introduced into solving the two-dimensional (2D) homogeneous acoustic problems. This paper presents the FE-LSPIM for solving multifluid coupling acoustic problems by incorporating the coupling interface condition between the different fluid domains. In the present work, the coupling interface between the different fluids should satisfy the continuity conditions of pressure and normal particle velocity, the multifluid domain is discretized using quadrilateral element (for 2D problem) or hexahedron element (for 3D problem), and the shape functions of the quadrilateral element (or hexahedron element) are used for partition of unity (PU) and the least-square point interpolation method (LSPIM) for local approximation. This paper derives the formulas of the FE-LSPIM for solving multifluid coupling acoustic problems. Considering the superior performance of the FE- LSPIM for the homogeneous acoustic problem, the FE-LSPIM can also deal well with the multifluid coupling acoustic problems, and numerical examples on a multifluid coupling tube show that the FE-LSPIM achieves more accurate results and higher convergence rates as compared with the corresponding finite elements and element-free Galerkin method (EFGM). Hence, the FE-LSPIM can be well applied in solving multifluid coupling acoustic problems. [ABSTRACT FROM AUTHOR]