Collaborative filtering (CF) aims to produce user specific recommendations based on other users' ratings of items. Most existing CF methods rely only overall items, ignoring the variety opinions users may have towards different aspects Using movie domain as a case study, we propose framework that is able capture from textual reviews, and use information improve effectiveness CF. This has two components, an opinion mining component rating inference component. The former extracts summarizes...

A new capillary zone electrophoresis (CZE) method was developed for simultaneous assay of four chalcones, hydroxysafflor yellow A, safflor safflamin C, and in the Chinese herbal extract from Carthamus tinctorius L. The optimum buffer system 30 mM borate (Na2B4O7/HCl, pH 9.00) with 10% (v/v) methanol. voltage 15 kV detection at 270 nm. Regression equations revealed linear relationships (correlation coefficients: 0.9973, 0.9992, 0.9989, 0.9996) between peak area each compound its...

Spectral technology is a scientific method used to study and analyze substances. In recent years, the role of spectral in non-destructive testing (NDT) fruits has become increasingly important, it expected that its application NDT will be promoted coming years. However, there are still challenges terms dataset collection methods. This article aims enhance effectiveness citrus other apply this orchard environments. Firstly, principles imaging systems chemometric methods analysis summarized....

Given a first-order sentence ? and domain size n, how can one sample model of on the {1, . , n} efficiently as n scales? We consider two variants this problem: uniform sampling regime, in which goal is to uniformly at random, symmetric weighted models are according number groundings each predicate appearing them. Solutions problem have applications scalable generation combinatorial structures, well several statistical-relational such Markov logic networks probabilistic programs. In paper, we...

In this paper, we study the sampling problem for first-order logic proposed recently by Wang et al.—how to efficiently sample a model of given sentence on finite domain? We extend their result universally-quantified subfragment two-variable FO <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (UFO ) entire fragment . Specifically, prove domain-liftability under , meaning that there exists algorithm runs in time polynomial domain size. then...

Traditional methods based active contours or region merging are powerless in processing images with blurring border hair occlusion.In this paper, a structure convolutional neural networks is proposed to solve segmentation of skin lesion image.The mainly consists two which net and discrimination net.The designed U-net that used generate the mask lesion, while only layers determine whether input image from ground truth labels generated images.Images were obtained "Skin Lesion Analysis Toward...

Abstract Although atrial myxoma is the most common primary tumor of heart, synchronous occurrence myxomas intestine and heart has not been reported in English literature. We report a case 47-year-old woman who presented with small bowel obstruction by pedunculated mass that was found to be after resection. A left incidentally computed tomographic scan, diagnosis confirmed second surgery. The cardiac showed classic histologic features, cells layered around vascular channels an abundant myxoid...

Abstract Although atrial myxoma is the most common primary tumor of heart, synchronous occurrence myxomas intestine and heart has not been reported in English literature. We report a case 47-year-old woman who presented with small bowel obstruction by pedunculated mass that was found to be after resection. A left incidentally computed tomographic scan, diagnosis confirmed second surgery. The cardiac showed classic histologic features, cells layered around vascular channels an abundant myxoid...

Network embedding, also known as graph representation, is a classical topic in data mining. It has been widely used real-world network applications such node classification and community detection. However, it remains open to find method that scalable preserves both structure content information. Based on generative adversarial networks, we propose an unsupervised embedding framework NEGAN, which featured by combining topology content. In nodes are mapped the target space highly flexible...

In this paper, we study the problem of recommending appropriate datasets for authors, which is implemented to infer proximity between authors and by leveraging information from a three-layered network, composed papers datasets. To link author-dataset semantically taking advantage rich content in intermediate layer, design an attentive aggregate multi-layer network learning model. The aggregation integrating intra-layer paper citations, while attention used coordinating at top-layer...

A fast segmentation algorithm of single medical image and sequence images based on active contour model are proposed in this paper. We give out the initial forecast 3D first, then, numerical solution is presented, send data blocks to different processors do calculations, finally combine results. At same time, parallel designing methods node allocation, task allocation load balancing researched. The experiment results show that method can significantly improve speed image.

Image segmentation is critical in medical image processing for lesion detection, localisation, and subsequent diagnosis. Currently, computer-aided diagnosis (CAD) has played a significant role improving diagnostic efficiency accuracy. The task made more difficult by the hazy boundaries uneven forms. Because standard convolutional neural networks (CNNs) are incapable of capturing global contextual information, adequate results impossible to achieve. We propose multiscale feature fusion...

The Weighted First-Order Model Counting Problem (WFOMC) asks to compute the weighted sum of models a given first-order logic sentence over domain. It can be solved in time polynomial domain size for sentences from two-variable fragment with counting quantifiers, known as $C^2$. This polynomial-time complexity is also retained when extending $C^2$ by one following axioms: linear order axiom, tree forest directed acyclic graph axiom or connectedness axiom. An interesting question remains which...

As a long lifeline system of buried structures, Utility tunnel (UT) is vulnerable to earthquake invading. For utility tunnels with inverted siphon arrangement crossing the river, seismic response more complex due basin effect acceleration in topography and influence fluctuating hydrodynamic pressure. Based on UT project Haikou, this paper studied cast-in-place considering coupled model water-soil-tunnel structure ABAQUS software. Herein, dynamic fluctuation pressure simulated using...

The authors give a comprehensive analysis on flood clustering and recognition methods based fuzzy set theory. In the methods, historical data are clustered into several partitions by applying iteration algorithm optimal number of cluster is obtained using validity criterion, real-time hydrograph partition recognized pattern model. above-mentioned also used to Huanren reservoir results show that feasible practicable recognize hydrographs.