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Rural livelihood change has great influence on the scale, structure, and morphology of rural settlement land use, thus bringing new challenges to rural revitalization and settlement reconstruction. Sihe village of Tongwei County in mid-Gansu loess hilly region (China) was taken as an example here. Based on participatory rural appraisal data, we analyzed the structure and allocation of rural households&rsquo, livelihood assets as well as their livelihood diversity by using ecological asset, livelihood diversification index, and landscape pattern index models. We aimed to find a response mechanism between rural livelihood change and rural settlement land use change. The results might provide useful information for the selection of new village sites, reconstruction of rural settlements, and creation of livable rural environment. Results indicate that: (1) The total value of the average livelihood assets per household in the Sihe village increased significantly from 0.48 in 1988 to 1.288 in 2016. The four types of livelihood assets including natural, material, manpower, and financial assets changed with time. In 1988, the manpower asset was the most important type of livelihood assets, with value accounting for 76.67% of the total value of livelihood assets. With the extension of time, the proportions of the four types of assets in total livelihood assets became closer to each other. The livelihood diversification index of the Sihe village increased from 2.01 in 1988 to 3 in 2016, indicating the rural livelihoods became diverse, (2) Because of the dual influence of external environmental factors and the rural development policies of the country and the region, the livelihoods changed towards agricultural sector from 1988 to 2008, and the agricultural livelihoods tended to be diverse. The following trend of livelihood strategy change was observed: from diverse non-agricultural production group (IV) to agricultural and non-agricultural production group (III), then to diverse agricultural production group (II) and finally to agricultural production group (I). After 2008, the livelihoods changed towards non-agricultural sector, and the non-agricultural livelihoods tended to be diverse. This trend of livelihood change is opposite to that before 2008, (3) 2008 is the key year of livelihood change. Livelihood change caused changes in the scale, structure, and morphology of rural settlement land use, which eventually led to the change of rural residential land use.

Activating Liver X receptors (LXRs) represents a promising therapeutic option for dyslipidemia. However, activating LXR&alpha, may cause undesired lipogenic effects. Discovery of highly LXR&beta, selective agonists without LXR&alpha, activation were indispensable for dyslipidemia. In this study, in silico approaches were applied to develop highly potent LXR&beta, selective agonists based on a series of newly reported 3-(4-(2-propylphenoxy)butyl)imidazolidine-2,4-dione-based LXR&alpha, /&beta, dual agonists. Initially, Kohonen and stepwise multiple linear regression SW-MLR were performed to construct models for LXR&beta, agonists and LXR&alpha, agonists based on the structural characteristics of LXR&alpha, dual agonists, respectively. The obtained LXR&beta, agonist model gave a good predictive ability (R2train = 0.837, R2test = 0.843, Q2LOO = 0.715), and the LXR&alpha, agonist model produced even better predictive ability (R2train = 0.968, R2test = 0.914, Q2LOO = 0.895). Also, the two QSAR models were independent and can well distinguish LXR&beta, and LXR&alpha, activity. Then, compounds in the ZINC database met the lower limit of structural similarity of 0.7, compared to the 3-(4-(2-propylphenoxy)butyl)imidazolidine-2,4-dione scaffold subjected to our QSAR models, which resulted in the discovery of ZINC55084484 with an LXR&beta, prediction value of pEC50 equal to 7.343 and LXR&alpha, prediction value of pEC50 equal to &minus, 1.901. Consequently, nine newly designed compounds were proposed as highly LXR&beta, selective agonists based on ZINC55084484 and molecular docking, of which LXR&beta, prediction values almost exceeded 8 and LXR&alpha, prediction values were below 0.

The balance between population and water and land resources is an important part of regional sustainable development. It is also significant for the ecological civilization in China and can help solve the Three Rural Issues (agriculture, countryside and farmers) in China. The Silk Road Economic Belt and Maritime Silk Road in twenty-first Century Strategy have brought new opportunities for the Hexi Corridor, which is facing challenges in the sustainable development of rural settlements. In this paper, we analyzed the temporal-spatial differentiation of rural settlement patterns in Shandan County of Hexi Corridor and studied the spatial association between rural settlements and water-land resources. Results show that the total area of rural settlement patches (CA), the number of rural settlement patches (NP), the mean patch area (MPS), the maximum patch areas (MAXP), the minimum patch areas (MINP) and the density of rural settlement patches (PD) changed more rapidly from 1998 to 2008 than from 2008 to 2015. In the second period, the indices mentioned before did not change significantly. The kernel density of rural settlements is basically consistent in three periods. Rural settlements mainly distribute along major roads and the hydrographic network and the kernel density of rural settlements decreases in the direction away from these roads and the hydrographic network. In addition, rural settlements in Shandan County are densely distributed in some regions and sparsely distributed in other regions. The dispersion degree of rural settlements increased from 1998 to 2008 and tended to be stable after 2008. These lead to the dispersion, hollowing and chaos of rural settlements in Shandan County. The spatial distribution of rural settlements in Shandan County is closely related to that of cultivated land and the hydrographic network. Our results might provide a theoretical basis for the reasonable utilization of water and land resources in Shandan County. Ultimately, a balance between population and water and land resources and regional sustainable development can be achieved.

Cholesteryl ester transfer protein (CETP) inhibitors hold promise as new agents against coronary heart disease. Molecular modeling techniques such as 2D-QSAR and 3D-QSAR analysis were applied to establish models to distinguish potent and weak CETP inhibitors. 2D and 3D QSAR models-based a series of diphenylpyridylethanamine (DPPE) derivatives (newly identified as CETP inhibitors) were then performed to elucidate structural and physicochemical requirements for higher CETP inhibitory activity. The linear and spline 2D-QSAR models were developed through multiple linear regression (MLR) and support vector machine (SVM) methods. The best 2D-QSAR model obtained by SVM gave a high predictive ability (R(2)train=0.929, R(2)test=0.826, Q(2)LOO=0.780). Also, the 2D-QSAR models uncovered that SlogP_VSA0, E_sol and Vsurf_DW23 were important features in defining activity. In addition, the best 3D-QSAR model presented higher predictive ability (R(2)train=0.958, R(2)test=0.852, Q(2)LOO=0.734) based on comparative molecular field analysis (CoMFA). Meanwhile, the derived contour maps from 3D-QSAR model revealed the significant structural features (steric and electronic effects) required for improving CETP inhibitory activity. Consequently, twelve newly designed DPPE derivatives were proposed to be robust and potent CETP inhibitors. Overall, these derived models may help to design novel DPPE derivatives with better CETP inhibitory activity.

A novel visible-light-active material was prepared by dispersion of AgI on amorphous TiO2 through simple one-pot process (AgI/Am-TiO2-S). For comparison, AgI sensitized TiO2 (amorphous, anatase and P25) were also prepared via traditional deposition-precipitation method. The samples were characterized by XRD, XPS, TGA-DSC, UV-Vis-DRS, BET, and etc. Larger specific surface area, negative shift of flat band potential, as well as greatly reduced charge transfer resistance were observed for AgI/Am-TiO2-S comparing to other samples. Moreover, with the same molar of initial Ti and Ag, the weight of AgI/Am-TiO2-S obtained was the heaviest, due to large amount of surface titania hydrate. The photocatalytic activity of the as-prepared AgI/titania samples were evaluated by the reduction of Cr(VI) in the absence or presence of organic pollutants (dyes, phenol). AgI/Am-TiO2-S always presented the highest photocatalytic activity. The estimated k(Cr(VI)) on AgI/Am-TiO2-S was about 2 times that on AgI/P25-TiO2 in the absence/presence of RhB. Superior stability was also observed in the cyclic runs indicating that the as-prepared AgI/Am-TiO2-S is highly desirable for the remediation of Cr(VI)-organic co-contaminated wastewaters.

Snake venoms contain a large variety of proteins and peptides that affect the hemostasis and thrombosis. Numerous antithrombotic peptides have been found in snake venom. However, few studies have been performed on the proteolysis of snake venom for obtaining bioactive peptides. In this study, the Agkistrodon acutus venom was hydrolyzed using four commercial proteases (pepsin, papain, neutrase, and alcalase) and the hydrolysate was tested for antiplatelet aggregation activity. The pepsin hydrolysate, exhibiting the highest activity, was further purified by gel filtration and reversed-phase high performance liquid chromatography. A novel antithrombotic peptide SP-14 was obtained, and its sequence was identified as SHIHGDYSSPSGAP using tandem electrospray mass spectrometry. SP-14 inhibited U46619-induced rabbit platelet aggregation in a dose-dependent manner. It reduced the mortality of mice in acute pulmonary thrombosis model and decreased thrombus weight in rat arteriovenous shunt model, while with lower bleeding risk than aspirin. Therefore, SP-14 may be beneficial for new antithrombotic drug design and development.

Efficient and stable photocatalysts for water oxidation are highly sought after in the field of photoelectrochemical (PEC) water splitting. Herein, a new type of tantalum and aluminum co-doped iron oxide (Ta/Al-Fe2O3) material was fabricated by a simple drop coating method. XPS analysis suggests that Ta and Al were successfully co-doped into Fe2O3 and Ta can greatly influence the chemical environment of Al and O on the surface of catalyst. The resultant optimum (0.25%)Ta/(10%)Al-Fe2O3 film presented excellent enhanced PEC activity and photostability. A 15 times higher photocurrent density as well as two times higher incident-photon-to-current efficiency (IPCE, 430 nm) can be clearly observed relative to (10%)Al-Fe2O3 at 0.35 V vs. Ag/AgCl. The dramatic enhanced PEC and IPCE performance are attributed to mixed effects induced by tantalum doping, such as positive shift of flat band potential (ca. 50 mV), a reduction in anodic overpotential for water oxidation and greatly reduced charge transfer resistance, which eventually facilitate more efficient separation and easier transfer of photogenerated electron–hole pairs. The highly improved visible light activity and film stability indicate that tantalum and aluminum co-doped iron oxide will be a promising semiconductor for water oxidation.

Rural-urban transformation is a process of morphological and functional change of rural system consisting of three dimensions: population, land and industry. Gansu Province is characterized by relatively poor economic development, low per capita income and low level of urbanization, and is thus a typical underdeveloped region in China. By constructing a comprehensive evaluation index system for population-land-industry system at a county scale and a model for quantifying rural-urban transformation degree, this paper quantitatively analyzed rural-urban transformation in Gansu Province and explored its spatiotemporal variation and driving forces by means of hotspot identification and geographical detector model. This paper attempts to clarify rural socioeconomic transformation and development, reveal regional differences in rural development mechanisms, and explore related policies and measures that are suitable for regional characteristics. The results will help coordinate the relationship between urban-rural integration and the construction of a well-off society in underdeveloped regions, explore new modes of rural-urban transformation, and improve the institutional mechanism of regional urban-rural integration. These can provide useful information for region-specific planning and strategic decision making. In addition, this study is conducive to implementing Belt and Road, improving urban and rural layout, and promoting rural sustainable development and rural revitalization in northwest China.

Urbanization is a three-dimensional process including population, spatial, and economic changes. The coordination among the three dimensions is the key to sustainable urban development. Here, a population-land-industry index system of urbanization is constructed, and the degree of coupling and mutual feedback among population urbanization, land urbanization, and industrial urbanization are analyzed. The urbanization patterns and their spatiotemporal variation are identified. The results show that: (1) Population and land urbanization proceeded slowly in Gansu Province and their trends were similar, whereas industry urbanization proceeded faster than the two. From a spatial perspective, population, land, and industrial urbanization levels (PUi, LUi, and IUi) decreased from southwest to northeast. The coupling degree of population, land, and industrial urbanization increased from 1998 to 2016 and showed significant spatial variation, decreasing from northwest to southeast. (2) Population, land, and industry all play a role in urbanization. PUi was significantly and positively correlated with LUi. However, there was no significant correlation between IUi and PUi and between IUi and LUi. The improvement of PUi, LUi, and IUi effectively promoted the coupling degree of population, land, and industrial urbanization. (3) Seven urbanization patterns were identified in Gansu Province and evaluation units with the same urbanization pattern tended to be spatially close to each other. IUi &gt, PUi &gt, LUi (IX), IUi &gt, LUi &gt, PUi (X) and IUi &gt, PUi = LUi (XI) were the dominant urbanization patterns. There was crisscross distribution of various urbanization patterns and, thus, it was not easy to observe the agglomeration center of certain urbanization pattern. (4) The urbanization pattern of the same evaluation unit changed with time. This change was mainly reflected in the change of relationship between population and land urbanization. Urbanization pattern changed more significantly in 2008&ndash, 2016 than in 1998&ndash, 2008. The changes were dominant by IX&rarr, XI, X&rarr, XI, XI&rarr, IX, and XI&rarr, X.

Inhibition of cholesteryl ester transfer protein (CETP) is considered as a new therapy for treating coronary heart disease. Recently, a series of compounds with a 2-arylbenzoxazole skeleton have been identified as potent CETP inhibitors, however, some of them can also be noninhibitors. Therefore, it is highly desirable to have models that can predict whether a compound interacts with CETP. In this work, a quantitative structure–activity relationship study was developed for modeling and classifying CETP inhibitory activity for a dataset of 84 2-arylbenzoxazoles using diverse structural descriptors. The stepwise linear discriminant analysis (LDA) method was then used to explore the best descriptors responsible for inhibitory activity. The LDA and nonlinear support vector machine (SVM) method were employed to establish classification models. These models were strictly validated using internal and external approaches. The SVM model gave the prediction accuracy of 92.65 % on the training set and 81.25 % on the test set, as well as that of the LDA model 82.35 and 75 %. In addition, petitjeanSC, PEOE_VSA_NEG, E_nb, and vsurf_EWmin1 were found to have high correlation with the CETP inhibitory activity. Overall, the SVM model can act as a fast filter for designing new 2-arylbenzoxazoles with better CETP inhibitory activity in future.

In this study, in silico approaches, including multiple QSAR modeling, structural similarity analysis, and molecular docking, were applied to develop QSAR classification models as a fast screening tool for identifying highly-potent ABCA1 up-regulators targeting LXRβ based on a series of new flavonoids. Initially, four modeling approaches, including linear discriminant analysis, support vector machine, radial basis function neural network, and classification and regression trees, were applied to construct different QSAR classification models. The statistics results indicated that these four kinds of QSAR models were powerful tools for screening highly potent ABCA1 up-regulators. Then, a consensus QSAR model was developed by combining the predictions from these four models. To discover new ABCA1 up-regulators at maximum accuracy, the compounds in the ZINC database that fulfilled the requirement of structural similarity of 0.7 compared to known potent ABCA1 up-regulator were subjected to the consensus QSAR model, which led to the discovery of 50 compounds. Finally, they were docked into the LXRβ binding site to understand their role in up-regulating ABCA1 expression. The excellent binding modes and docking scores of 10 hit compounds suggested they were highly-potent ABCA1 up-regulators targeting LXRβ. Overall, this study provided an effective strategy to discover highly potent ABCA1 up-regulators.

In this paper, we try to develop a general framework of 3D shape reconstruction strategy with extremely rare point cloud extracted for fish ethology research. Particle filter is first taken to focus on fish trajectory tracking from monocular video sequence. The Speeded Up Robust Features (SURF) technique will be adopted to match the same tracking fish across the overlapping view fields with more stable and accurate features. Non-rigid 3D shape reconstruction will be finally developed with the help of expectation maximization (EM) model and linear dynamical system (LDS). It is shown from our simulation experiment that the developed scheme of this paper achieves consistent performance improvements over non-rigid 3D shape reconstruction for fish ethology research.

Underwater 3D object reconstruction is one of the most essential and fundamental tasks in ocean investigations. In this paper, we try to capture the inherent geometrical variation of 3D objects at multiple visual angels with the underwater vehicles and develop a novel underwater 3D object reconstruction model for the continuous video stream. Image enhancement will be first taken into consideration by guided image filtering to acquire clearer images for object tracking which can be completed by the particle filter. And then, we use scale invariant feature transform (SIFT) and random sample consensus (RANSAC) to detect and correspond the features of objects we have tracked. From these correspondences, the 3D point cloud reconstruction will be finally developed with the help of structure from motion (SFM) and patches-based multi-view stereo (PMVS). It has been shown in the simulation experiments that the developed scheme of this paper achieves consistent performance improvements over 3D object reconstruction for underwater video stream in multiple views.

Filtration and cross-flow ultrafiltration techniques were used to separate culture media of Prorocentrum donghaiense at the exponential growth, stationary and decline stages into

Soil microorganisms contribute to soil fertility and regulate many ecosystem processes such as nutrient transformation and litter decomposition, as well as influence soil structure and bioremediati...

In this paper, we present one underwater image stitching model combined with the Scale Invariant Feature Transform (SIFT) and the wavelet fusion. Poor visibility in the sea and the variations in the illumination, viewpoints, etc., have been comprehensively taken into consideration for image matching. Wavelet fusion is then made full use of to undertake the underwater image mosaic. It is shown in the simulation experiment that the proposed approach could achieve great performances in both robustness and effectiveness, with good behaviors in the vision effects and matching precision for the underwater images.

A novel visible-light-active material was prepared by dispersion of AgI on amorphous TiO2 through simple one-pot process (AgI/Am-TiO2-S). For comparison, AgI sensitized TiO2 (amorphous, anatase and P25) were also prepared via traditional deposition-precipitation method. The samples were characterized by XRD, XPS, TGA-DSC, UV-Vis-DRS, BET, and etc. Larger specific surface area, negative shift of flat band potential, as well as greatly reduced charge transfer resistance were observed for AgI/Am-TiO2-S comparing to other samples. Moreover, with the same molar of initial Ti and Ag, the weight of AgI/Am-TiO2-S obtained was the heaviest, due to large amount of surface titania hydrate. The photocatalytic activity of the as-prepared AgI/titania samples were evaluated by the reduction of Cr(VI) in the absence or presence of organic pollutants (dyes, phenol). AgI/Am-TiO2-S always presented the highest photocatalytic activity. The estimated k(Cr(VI)) on AgI/Am-TiO2-S was about 2 times that on AgI/P25-TiO2 in the absence/presence of RhB. Superior stability was also observed in the cyclic runs indicating that the as-prepared AgI/Am-TiO2-S is highly desirable for the remediation of Cr(VI)-organic co-contaminated wastewaters.

SnO2 nanowires (NWs) were synthesized by thermal evaporation and were characterized by scanning electron microscope (SEM), transmission electron microscope (TEM) and X-ray diffraction (XRD). Ti/Au and Pt electrode were made on an individual SnO2 NW to study its electrical properties. Measurement result shows a clear rectification behavior for single SnO2 NW with Pt and Ti/Au electrodes, and the related rectifying mechanism is discussed.

This study aimed to investigate the potential role of IL-6 in acute T-cell-mediated renal rejection (ACR) during different periods post-transplantation. Fifty-three patients with ACR (32 of whom developed ACR within the first month; 12, between 2 and 6 months; and 9, between 7 and 12 months post-transplantation), 31 patients with delayed graft function (DGF), and 38 recipients with stable renal allograft function were recruited. Luminex analysis was used to monitor levels of IL-6, sIL-6R, IL-1α, IL-1β, and IL-1 receptor antagonist (IL-1Ra) in 228 serum samples from 122 patients, including ACR patients before and during rejection, and after rejection reversal, DGF patients, and stable controls. The associations between IL-6 levels and sIL-6R, IL-1α, IL-1β, and IL-1Ra levels were analyzed using Spearman correlation analysis. In patients who developed ACR within the first month post-transplantation, serum IL-6 concentrations increased significantly compared to the stable control group, but decreased in patients who developed ACR between 2 and 12 months post-transplantation. Concomitantly, levels of sIL-6R gradually increased when ACR occurred between 2 and 12 months post-transplantation. IL-6 levels correlated with IL-1β levels in early stage ACR and with levels of IL-1Ra in late stage ACR. Our results suggest that IL-6 acts as a pro-inflammatory cytokine during early-stage ACR, and plays an anti-inflammatory role during later stages post-transplantation.

This paper presents a long-period fiber-grating (LPG) based Michelson interferometric refractometry to monitor the change in refractive index of porcine muscle during laser-induced interstitial thermotherapy (LITT). As the wavelength of RI interferometer alters with the change in refractive index around the probe, the LPG based refractometry is combined with LITT system to measure the change in refractive index of porcine muscle when irradiated by laser. The experimental results show the denaturation of tissue alters the refractive index significantly and the LPG sensor can be applied to monitor the tissue state during the LITT.

This paper describes using long-period grating Michelson refractometric sensor to measure the refractive index change of porcine liver during laser-induced interstitial thermotherapy. Experimental results show that the refractive index of denatured liver tissue is changed significantly.

Periodontal ligament-associated protein-1 (PLAP-1/asporin) is a special marker in periodontal ligament tissue. It is an important regulator of osteogenic differentiation of periodontal ligament cells (PDLCs). This marker is also a prerequisite for periodontal ligament development and mineralization in maintaining homeostasis of the periodontium. However, the molecular mechanisms of the regulation of PLAP-1 expression at the post-transcriptional level remain unknown. By contrast, microRNAs (miRNAs) provide an additional level of regulation beyond that of transcription factors via regulation of the post-transcriptional control of gene expression. This study was designed to analyze miRNA differential expression patterns of PDLCs at various osteoblastic differentiation stages and to determine the contribution of miRNAs in the regulation of PLAP-1 expression during osteoblast differentiation. Bioinformatic analysis was performed to predict miRNAs that potentially regulate the gene expression of PLAP-1. Dual luciferase reporter assay and qRT-PCR were performed to confirm the effects of these miRNAs on PLAP-1 gene expression. Our results indicated that mir-101 and mir-21 target PLAP-1 to regulate its expression during osteogenic differentiation of PDLCs.

Vertically aligned single-crystal SnO(2) nanoshuttle arrays with uniform morphology and a relatively high aspect ratio were synthesized by a simple hot-wall chemical vapor deposition (CVD) method. It was found that regulating the growth temperature gradient could change the shape of the SnO(2) nanostructure from nanoshuttles to nanochisels and nanoneedles, and a self-catalyzing growth process was responsible for tunable morphologies of SnO(2) nanostructures. The as-synthesized SnO(2) nanoshuttles showed ultrahigh flexibility and strong toughness with a large elastic strain of ∼ 6.2, which is much higher than reported for Si and ZnO nanowire as well as most crystalline metallic materials. The field emitter fabricated using SnO(2) nanoshuttle arrays has a low turn-on electric field of around 0.6 V µm(-1), and a high field emission current density of above 10 mA cm(-2), which is comparable with the highest emission current density of carbon nanotube and nanowire field emitters.

Network traffic is an important load indicator that reflects the performance of the web system. Short-term forecast of web traffic is the base of effective overload control. Because of the complex and ever-changing network environment, web traffic is shown the characteristics of random and unexpected at most of the time scales. Hence, it is more difficult to improve the accuracy of traffic forecasts to get satisfactory results. In this paper, genetic algorithm is used in artificial neural network to optimize the structure design and weights firstly. Then, a web traffic forecasting model based on genetic neural network is proposed. The simulation result shown that the forecast result of this model is better than that based on BP and Elman neural network prediction model.

The effect of environmental factors such as life styles pH and DO and temperature on the growth of tubificidae were discussed base on L. hoffmeisteri. The experimental results indicated that attached growth system is superior than suspension growth system for Tubificidae. The average growth rate was 0.466 g.g−1 and −0.242 g.g−1 respectively after three weeks culture. It is found that high DO concentration is benefit to Tubificidae when DO changes from 0 to 4.0mg/L. When DO is 0 ∼ 0.5mg/L, the death rate is 30% approximately. Tubificidae can grow well when pH is about 7. It is sensitive to temperature, the growth rate increase from 0.338 g.g−1 to 0.426 g.g−1 with temperature rising between 15°C∼25°C. But when the temperature is above 25°C, the growth rate decrease and its death rate is over 40%.

The title compound, C(35)H(31)NO(3), was obtained by the reaction of (S)-benzyl 2-amino-3-(4-hy-droxy-phen-yl)propano-ate and (chloro-methane-tri-yl)tribenzene. The enanti-omer has been assigned by reference to an unchanging chiral centre in the synthetic procedure. In the crystal, mol-ecules are linked into chains running along the a axis by inter-molecular O-H⋯O hydrogen bonds.

To extract venous information from noise-added images acquired by infrared sensor, in this paper, we presents a compressive sensing (CS) based application -- gradient projection for sparse reconstruction (GPSR) -- to reduce noise in synthetic vein images and real finger vein images respectively. Then compares the result with the reconstruction by wavelet threshold denoising algorithm. The results show that the GPSR has better performance than the wavelet threshold method in reducing noise, avoids losing the edge information of finger vein, and thus provides more accurate information for vein recognition and extraction.

In this paper, we presents a compressive sensing (CS) based application --Polak-Ribiere conjugate gradient projection (PR-CGP) for solving bound constrained quadratic program to reduce noise in synthetic vein images and real finger vein images respectively which blurred with various noise. Then compares the result with the reconstruction by Gradient Projection for Sparse Restruction(GPSR) algorithm. The results show that the method has better performance than the GPSR method in reducing noise, and thus provides more accurate information for vein recognition and extraction.

It costs something like five times to serve a new customer than a regular customer. Regular customer is very import to enterprise. This paper proposes a model of customer's repeat-purchasing. Customer behavior patterns are first identified using association rule mining. Then, the customer's repeat- purchase model is identified by comparing two sets of association rules generated from datasets of different periods. The experimental results demonstrated that the method is effective.

This paper presents a new image mosaic algorithm based on ratio template matching by introducing gradient factor to enhance the robustness of the template. It corrects the exposure difference in the stitching image, and applies the fade-in and fade-out method to make the stitched image seamless and smooth. Experimental results testify that this algorithm improves the reliability and increases the speed of matching and is easier to operate.

The general target of request scheduling is to maximize throughput and minimize response time under the condition that existing system resource is in full use. But for a busy business Web system with the goal of revenue generation, it is crucial to increase the completion rate of transaction related requests and requests from VIP. Aiming at the multi-objective of request scheduling for business web system, the multi-objective dynamic priority optimization scheduling mechanism and algorithm is proposed based on reward-driven multi-dimension criterion for request classification and one-step-ahead overload estimation. Simulation experiment shows the validity of this scheduling algorithm.