A note on a nonlocal boundary value problems
A nonlocal boundary value problems for a second-order ordinary differential equation is considered in this note. An existence result is obtained by the help of the coincidence degree theory.

title: Positive solutions of a nonlinear four-point boundary value problems
abstract: In this paper, by using the Krasnoselskii's theorem in a cone, we study the existence of at least one or two positive solutions to the four-point boundary value problemy^''(t)+a(t)f(y(t))=0,00. As an application, we also give some examples to demonstrate our results.

title: Existence and uniqueness of solutionsto first-order multipoint boundary value problems
abstract: In this paper, we give existence and uniqueness results for solutions of multipoint boundary value problems of the form 
x'=f(t,x(t))+e(t),t∈(0,1),∑j=1mAjx(ηj)=0, 
where ƒ : [0,1] × Rn → Rn is a Caratheodory function, Ajs (j = 1, 2,, m) are constant square matrices of order n, 0 < η1 η2 << ηm−1, < ηm ⪯ 1, and e(t) ∈ L1([0,1], Rn). The existence of solutions is proven by the coincidence degree theory. As an application, we also give one example to demonstrate our results.

title: Note on third-order boundary value problem for differential equations with deviating arguments
abstract: A third-order boundary value problem for differential equations with deviating arguments is considered in this note. An existence result is obtained by the help of the well-known Leray-Schauder Alternative. Also, a uniqueness result is given.

title: Positive solutions of a nonlinear three-point boundary value problem
abstract: In this paper, by using Krasnoselskii's fixed point theorem in a cone, we study the existence of single and multiple positive solutions to the three-point boundary value problem (BVP)y''(t)+a(t)f(y(t))=0,0

title: Positive solutions of three-point boundary value problems for the one-dimensional p-laplacian with infinitely many singularities
abstract: We consider thesingular three-point boundary value problems 
(φp(y′))′ + a(t)f(y(t)) = 0, 0 < t < 1, y′(0) = 0, y(1) = βy(ƞ), 
where φp(s) = |s|p−2s, p ≥ 2, 0 < β < 1, 0 < η < 1, f ϵ C([0, + ∞), [0, + ∞)), a: [0,1] → [0, + ∞), andhas countably many singularities in [0, frsol|1/2). We show that there exist countably many positive solutions by using the fixed-point index theory.

title: Boundary Constrained Manifold Unfolding

title: Semantic-Based Remote Sensing Images Intelligent Service on Grid Environment
abstract: In this work, we studied how to rapidly match remote sensing images by the semantic information of geographical objects in Grid architecture and how to slice, index, and assemble each tiled image in every grid node. We first designed the grid architecture of remote sensing images sharing and gave a new idea that searching corresponding images by semantic information of geographical objects. To each grid node, we put forward a new method to partition, index, organize and assemble remote sensing images by rectangle cell. Then, a prototype system was set up: five grid node machines and a grid Server were employed to establish the remote sensing images service grid environment. Massive remote sensing images were treated with new methods above in grid node and vector data managed in grid server to supply semantic information. The tested results proved that goal remote sensing images were searched with higher speed and more accuracy in grid environment and each grid node had faster response compared with traditional remote sensing images sharing mode. And more intelligent services of remote sensing images were given for the multi-resolution, multi-temporal tiled images can be dynamically assembled and analyzed. Experiments proved it was a promising solution to provide remote sensing images services using Grid architecture in light of actual circumstances.

title: Demand flow network
abstract: This paper had brought up the conceptual model of demand flow network (DFN) on the basis of supply chains theories. The DFN model, DFN value model and DFN core competency model had also been established and analyzed separately in accordance with related theory. The application of DFN theory also had been studied

title: Opinion Extraction and Summarization on the Web
abstract: The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sources containing such opinions, e.g., product reviews, forums, discussion groups. and blogs. Techniques are now being developed to exploit these sources to help organizations and individuals to gain such important information easily and quickly. In this paper, we first discuss several aspects of the problem in the AI context, and then present some results of our existing work published in KDD-04 and WWW-05.

title: Learning to Classify Texts Using Positive and Unlabeled Data
abstract: In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a particular class (called positive class) and a set U of unlabeled documents that contains documents from class P and also other types of documents (called negative class documents), we want to build a classifier to classify the documents in U into documents from P and documents not from P. The key feature of this problem is that there is no labeled negative document, which makes traditional text classification techniques inapplicable. In this paper, we propose an effective technique to solve the problem. It combines the Rocchio method and the SVM technique for classifier building. Experimental results show that the new method outperforms existing methods significantly.