向量中立型抛物Robin边值问题的振动性分析

研究了一类向量中立型抛物边值问题的振动性,借助内积降维方法和微积分技巧,建立了该类边值问题在Robin边值条件下所有解H-振动的若干新的充分条件,其中H是一个单位向量。

基于成像矩阵的物数据求解方法

提出了一种利用成像矩阵求解物数据的方法。通过对物、像矩阵的一维化处理,构建了二维成像矩阵,将物矩阵卷积点扩散函数矩阵得到像矩阵的卷积运算关系转变为物向量乘以成像矩阵进而得到像向量的乘积运算关系。最后将像向量乘以成像逆矩阵便可求解物向量,实现了从光学系统像数据中对物数据的精确求解,且计算误差为10-12量级。

带脉冲和时滞效应的向量抛物Dirichlet边值问题的振动判据

研究一类带脉冲和时滞效应的向量抛物方程的振动性,得到了该类方程在Dirichlet边值条件下所有解H-振动的若干充分判据,这里H是R^M中的单位向量.

Effect of carbon addition on carbide morphology of single crystal Ni-based superalloy

Single crystal superalloys of AM3 with different carbon levels were prepared at withdraw rate of 50μm/s. The effect of carbon addition on the carbide morphology was investigated. It was found that there were four types of MC-type carbides, acicular, nodular, blocky, and Chinese script-type in the crystals. With an increase in carbon level, the volume fraction of carbide increased significantly while the volume fraction of eutectic decreased significantly. Furthermore, the size of carbide in high level carbon alloy became much larger.

3D electrical resistivity inversion using prior spatial shape constraints

To minimize the number of solutions in 3D resistivity inversion, an inherent problem in inversion, the amount of data considered have to be large and prior constraints need to be applied. Geological and geophysical data regarding the extent of a geological anomaly are important prior information. We propose the use of shape constraints in 3D electrical resistivity inversion, Three weighted orthogonal vectors （a normal and two tangent vectors） were used to control the resistivity differences at the boundaries of the anomaly. The spatial shape of the anomaly and the constraints on the boundaries of the anomaly are thus established. We incorporated the spatial shape constraints in the objective function of the 3D resistivity inversion and constructed the 3D resistivity inversion equation with spatial shape constraints. Subsequently, we used numerical modeling based on prior spatial shape data to constrain the direction vectors and weights of the 3D resistivity inversion. We established a reasonable range between the direction vectors and weights, and verified the feasibility and effectiveness of using spatial shape prior constraints in reducing excessive structures and the number of solutions. We applied the prior spatially shape-constrained inversion method to locate the aquifer at the Guangzhou subway. The spatial shape constraints were taken from ground penetrating radar data. The inversion results for the location and shape of the aquifer agree well with drilling data, and the number of inversion solutions is significantly reduced.

Investigation on Breeding Direction of Grain Crops——Taking Henan Province as an example

[Objective] This paper aimed to investigate the breeding direction of grain crops in Henan Province. [Method] Superior varieties are the basis of grain yield-increase, and a proper breeding direction is essential for breeding of superior varieties. According to the actual situation and production requirements in Henan Province, by using statistical data of grain production, this paper analyzed the current situation and influencing factors of grain production in Henan Province, and summarized the breeding direction of current grain production. [Result] The increase of grain output in Henan Province mainly relies on the increase of grain yield per unit area and is achieved based on the increase of wheat and corn yield. There are several main factors affecting grain production in Henan Province, including the frequent meteorological disasters, low resistance to natural disasters, excessive chemical fertilizer inputs, decreased material conversion efficiency, aggravated pollution of the agricultural surface source, imbalanced quality and the distribution of cultivated land, emphasizing yield traits but neglecting related traits during crop breeding pro- cess, unitary dominant varieties resulting from narrow germplasm resources, and reduced grain-planting population with the migration of rural labor force. On this basis, the grain breeding direction is proposed with high yield, high efficiency, adaptability, stress resistance, specificity and safety, to enhance the grain crop breeding level, breed superior varieties, and realize the intensive use of cultivated land, intensive saving of materials, intensive substitution of labor force, intensive protection of environment and intensive efficiency of technologies by adjusting the breeding direction, thus promoting the sustained and stable development of grain production. [Conclusion] This paper provides basis for the breeding of superior varieties of grain crops and improvement of grain output in Henan Province.

The Conformally Symmetric K-Contact Manifolds

In this paper, we establish a differential equation about scalar curvature of conformally flat K-contact manifolds, and prove that a conformally symmetric K-contact manifold is a Riemann manifold with constant curvature 1. At the same time, the results on Sasaki manifolds which are given by Miyazaawa and Yamagushi are generalized to K-contact manifolds.

Land-use,biomass and carbon estimation in dry tropical forest of Chhattisgarh region in India using satellite remote sensing and GIS

A study was conducted to characterize the land use,biomass and carbon status of dry tropical forest in Raipur district of Chhattisgarh,India using satellite remote sensing data and GIS techniques in the year of 2001-2002.The main forest types observed in the area are Teak forest,mixed forest,degraded forest and Sal mixed forest.The aspect and slope of the sites influenced the forest vegetation types,biomass and carbon storage in the different forests.The standing volume,above ground biomass and carbon storage varied from 35.59 to 64.31 m^3·ha^-1,45.94 to 78.31 Mg·ha^-1,and 22.97 to 33.27 Mg·ha^-1,respectively among different forest types.The highest volumes,above ground biomass and carbon storage per hectare were found in the mixed forest and lowest in the degraded forest.The total standing carbon present in the entire study area was 78170.72 Mg in mixed forest,81656.91 Mg in Teak forest,7833.23 Mg in degraded forest and 7470.45 Mg in Sal mixed forest,respectively.The study shows that dry tropical forests of the studied area in Chhattisgarh are in growing stage and have strong potential for carbon sequestration.

SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK are prognosis-related in colorectal cancer

AIM: To investigate the expression of markers that are correlated with the prognosis of colorectal cancer (CRC) patients. METHODS: One hundred and fifty-six CRC patientswere followed up for more than 3 years after radical surgery. Immunohistochemical (IHC) analysis was performed to detect the expression of 14 pathway-related markers (p53, APC, p21ras, E-cadherin, endothelin-B receptor, Shp2, ADCY-2, SPARCL1, neuroligin1, hsp27, mmp-9, MAPK, MSH2 and rho) in specimens from these patients. Bioinformatics analysis involving a Support Vector Machine (SVM) was used to determine the best prognostic model from combinations of these markers. RESULTS: Seven markers (SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK) were significantly related to the prognosis and clinical pathological features of the CRC patients (P < 0.05). Prognostic models were established through SVM from combinations of these 7 markers and proved able to differentiate patients with dissimilar survival, especially in stage Ⅱ/Ⅲ patients. According to the best prognostic model, the p53/SPARCL1 model, patients having high p53 and low SPARCL1 expression had about 50% lower 3-year survival than others (P < 0.001). CONCLUSION: SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK are potential prognostic markers in CRC. A p53/SPARCL1 bioinformatics model may be used as a supplement to tumor-nodes-metastasis staging.

On-line Estimation of Biomass in Fermentation Process Using Support Vector Machine

Biomass is a key factor in fermentation process, directly influencing the performance of the fermentation system as well as the quality and yield of the targeted product. Therefore, the on-line estimation of biomass is indispensable. The soft-sensor based on support vector machine （SVM） for an on-line biomass estimation was analyzed in detail, and the improved SVM called the weighted least squares support vector machine was presented to follow the dynamic feature of fermentation process. The model based on the modified SVM was developed and demonstrated using simulation experiments.

NonliNonlinear GPC with In-place Trained RLS-SVM Model for DOC Control in a Fed-batch Bioreactor

In this study, Saccharomyces cerevisiae (baker's yeast) was produced in a fed-batch bioreactor at the optimal dissolved oxygen concentration (DOC) and growth medium temperature. However, it is very difficult to control the DOC using conventional controllers because of the poorly understood and constantly changing dynamics of the bioprocess. A generalized predictive controller (GPC) based on a nonlinear autoregressive integrated moving average exogenous (NARIMAX) model is presented to stabilize the DOC by manipulation of air flow rate. The NARIMAX model is built by an improved recursive least-squares support vector machine, which is trained by an in-place computation scheme and avoids the computation of the inverse of a large matrix and memory reallocation. The proposed nonlinear GPC algorithm requires little preliminary knowledge of the fermentation process, and directly obtains the nonlinear model in matrix form by using iterative multiple modeling instead of linearization at each sampling period. By application of an on-line bioreactor control, experimental results demonstrate the robustness, effectiveness and advantages of the new controller.

Experimental Studies on Debris Flow with Logs Focusing on Specific Weight Difference of Log Species

There are many experimental approaches,field investigations and numerical calculations for movements of woods in a clear water and debris flow.However,kinematic conditions for accumulated logs and the interactions between a main flow and logs have not been fully evaluated.Mitigations for woods need taking into account the characteristics of tree species such as conifer and broad-leaf trees and of shapes such as root swells and crown.In the present study,we focus on the differences in specific weight of conifer and broad-leaf trees with some moisture in a sediment-water mixture flow with narrow flow width,and consider that conifer and broad-leaf tree are floating and submerged solid phase,respectively.Flume tests are conducted in steady flow of clear and debris flow over a rigid bed in order to evaluate conifer and broad-leaf tree movement in clear water and debris flow.Experimental data indicates that dimensionless transverse diffusion coefficient can be 0.1 to 0.4 and 0.3 to 0.9 in flow direction.Those diffusive characteristics seem to be independent of Reynolds number and Froude number,but dependent of bed slope,i.e.,gravity,though detailed considerations are needed to discuss about flow characteristics such as spatial eddy structures,momentum transfer induced by interactions of logs and so on.

Using GIS Technology to Evaluate Transportation of Ornamental Crops in Georgia

In the agricultural industry, the importance of transportation costs increases considerably as fuel and labor costs climb. Logistic cooperation is an important strategic alternative to reduce transportation costs and increase efficiencies. Georgia＇s ornamental industry is characterized by producers that share clients, routes and origins; however, each producer has an independent transportation system. This paper analyses a case study to determine if a transportation alliance, through a horizontal cooperation and routing junction among ornamental producers in Georgia, would reduce shipping costs, increase distribution efficiencies and reduce carbon dioxide emissions. Routing and cost analysis were conducted followed by a sensitivity analysis for each constraint. Results showed that with the use of the GIS ArcLogistics 9.3 software, transportation alliances in the ornamental industry are profitable in terms of transport efficiencies and internal and external costs. Total cost savings per shipping cycle ranged from 1.0% to 13.2%, miles driven savings ranged from 1.1% to 13.6%, total number of trucks required savings ranged from 2.5% to 10% and driving hours savings ranged from 1.0% to 18.4%. CO2 emission reductions were also achieved ranging from 1.2% to 8.4% per shipping cycle.

Antimalarial Activity of an Alkaloid Mixture Isolated from the Tender Leaves of the Nectandra membranacea （Laureaceae）

Despite the breadth of knowledge about malaria, its transmission, preventive measures and available treatments and its difficulty in controlling the vector and the rapid spread of resistance to current drugs, there is a stimulus to develop new research looking for active molecules. The phytochemical studies of the active extract confirmed the presence of alkaloids, flavonoids, coumarins, tannins, reducing compounds, anthocyanins, terpenes, triterpenes and steroids. In the present work, it was possible to isolate a mixture of isoquinolinic alkaloids from the tender leaves of Nectandra membranacea （Laureaceae） with antimalarial activity. The mixture composed of （-） - gliazovine and （＋） - aplogliazovine showed an IC50 value of 32.18 μg/mL against the P. berghei NK65 strain. It is important to continue with these studies and their chemical components isolated from N. membranacea that could be used as an alternative the treatment of malaria.

Intra-Palm Propagation Signals as Suitable Biometrics for Successive Authentication

We propose the use of intra-palm propagation signals as biometrics. The intra-palm propagation signal is a signal that is propagated in the shallow part of the skin of a palm. In this paper, we prepare dedicated measuring devices and measure intra-palm propagation signals from twenty-one experimental subjects. We also evaluate the verification performance based on Euclidian distance or SVM （support vector machine）. The equal error rate in the case of SVM is aovroximatelv 24%.

A biologically inspired model for pattern recognition

In this paper, a novel bionic model and its performance in pattern recognition are presented and discussed. The model is constructed from a bulb model and a three-layered cortical model, mimicking the main features of the olfactory system. The olfactory bulb and cortex models are connected by feedforward and feedback fibers with distributed delays. The Breast Cancer Wisconsin dataset consisting of data from 683 patients divided into benign and malignant classes is used to demonstrate the capacity of the model to learn and recognize patterns, even when these are deformed versions of the originally learned patterns. The performance of the novel model was compared with three artificial neural networks (ANNs), a back-propagation network, a support vector machine classifier, and a radial basis function classifier. All the ANNs and the olfactory bionic model were tested in a benchmark study of a standard dataset. Experimental results show that the bionic olfactory system model can learn and classify patterns based on a small training set and a few learning trials to reflect biological intelligence to some extent.

Opposed elevational variation in prevalence and intensity of endoparasites and their vectors in a lizard

Studying the causes of parasite geographic distribution is relevant to understand ecological and evolutionary processes that affect host populations as well as for species conservation. Temperature is one of the most important environmental variables affecting parasite distribution, as raising temperatures positively affect development, reproduction, and rate of transmission of both endo- and ectoparasites. In this context, it is generally accepted that, in mountains, parasite abundance decreases with elevation. However, empirical evidence on this topic is limited. In the present study, we analyzed the elevational variation of hemoparasites and ectoparasites of a lizard, Psammodromus algirus, along a 2,200-m elevational gradient in Sierra Nevada （SE Spain）. As pre- dicted, ectoparasite （mites, ticks, mosquitoes, and sandflies） abundance decreased with elevation. However, hemoparasite prevalence and intensity in the lizard augmented with altitude, showing a pattern contrary to their vectors （mites）. We suggest that tolerance to hemoparasites may increase with elevation as a consequence of lizards at high altitudes taking advantage of increased body condition and food availability, and reduced oxidative stress. Moreover, lizards could have been selected for higher resistance against hemoparasites at lowlands （where higher rates of replication are expected）, thus reducing hemoparasite prevalence and load. Our findings imply that, in a scen- ario of climate warming, populations of lizards at high elevation may face increased abundance of ectoparasites, accompanied with strong negative effects.

Estimating biophysical parameters of rice with remote sensing data using support vector machines

Hyperspectral reflectance (350-2500 nm) measurements were made over two experimental rice fields containing two cultivars treated with three levels of nitrogen application.Four different transformations of the reflectance data were analyzed for their capability to predict rice biophysical parameters,comprising leaf area index (LAI;m-2 green leaf area m-2 soil) and green leaf chlorophyll density (GLCD;mg chlorophyll m 2 soil),using stepwise multiple regression (SMR) models and support vector machines (SVMs).Four transformations of the rice canopy data were made,comprising reflectances (R),first-order derivative reflectances (D1),second-order derivative reflectances (D2),and logarithm transformation of reflectances (LOG).The polynomial kernel (POLY) of the SVM using R was the best model to predict rice LAI,with a root mean square error (RMSE) of 1.0496 LAI units.The analysis of variance kernel of SVM using LOG was the best model to predict rice GLCD,with an RMSE of 523.0741 mg m-2.The SVM approach was not only superior to SMR models for predicting the rice biophysical parameters,but also provided a useful exploratory and predictive tool for analyzing different transformations of reflectance data.

Topological Dark Matter from the Theory of Composite Electroweak Symmetry Breaking

The lightest electroweak baryon as a topological object is investigated by using a general effective Lagrangian of composite electroweak symmetry breaking and the spin-independent electroweak baryon-nucleon scattering cross section is calculated. We explicitly show the masses of the electroweak baryons and the cross section as functions of the Peskin-Takeuchi S parameter and the ratio of the masses of axial-vector and vector composite bosons. We find that it is acceptable to regard the electroweak baryon as a dark matter candidate and the even number of technicolor is favored.

Application of biomonitoring and support vector machine in water quality assessment

The behavior of schools of zebrafish （Danio rerio） was studied in acute toxicity environments. Behavioral features were extracted and a method for water quality assessment using support vector machine （SVM） was de- veloped. The behavioral parameters of fish were recorded and analyzed during one hour in an environment of a 24-h half-lethal concentration （LC50） of a pollutant. The data were used to develop a method to evaluate water quality, so as 6＋ 2＋ to give an early indication of toxicity. Four kinds of metal ions （Cu2~, Hg2~, Cr , and Cd ） were used for toxicity testing. To enhance the efficiency and accuracy of assessment, a method combining SVM and a genetic algorithm （GA） was used. The results showed that the average prediction accuracy of the method was over 80% and the time cost was acceptable. The method gave satisfactory results for a variety of metal pollutants, demonstrating that this is an effective approach to the classification of water quality.