兴趣——人生的园艺师

兴趣，本自浑然天成，无鬼斧神工之雕琢，无神仙妙手之镌刻。兴趣，一个生于好奇与梦想之间的无羁孩子，一种盘踞在大脑之中的寻常思维。

大学生兴趣爱好拓展APP的营销推广策略分析

大学生群体个性张扬、充满活力,兴趣爱好广泛。为帮助大学生合理利用业余时间,满足其兴趣爱好,拟创建一个专门针对大学生兴趣爱好拓展平台的APP,并提出具体的营销推广策略,既满足大学生群体个性化、兴趣爱好广泛的需求,又提供了一个创新、创业平台,实现资源整合与共享。

兴趣花开

自从女儿发表第一篇童话后，我对女儿的写作期望也越来越高。一有空，我就在女儿耳边不停地唠叨：“好女儿，再写一篇吧，该写一篇了!”女儿一听我又让她写童话，就满脸不高兴，反问我：“你说写什么？”一句话问得我哑口无言半天，等我回过神来，又推开她的房门，

兴趣不一定是最好的老师

刚读大学时，我的兴趣十分广泛，阅读、摄影、书法、吉他，再加上各种体育、娱乐方面的爱好，一天到晚忙得不亦乐乎。

兴趣不一定是最好的老师

刚读大学时，我的兴趣十分广泛，阅读、摄影、书法、吉他，再加上各种体育、娱乐方面的爱好，一天到晚忙得不亦乐乎。

兴趣不一定是最好的老师

刚读大学时，我的兴趣十分广泛，阅读、摄影、书法、吉他，再加上各种体育、娱乐方面的爱好，一天到晚忙得不亦乐乎。

User-oriented web search based on PLSA

In order to solve the problem that current search engines provide query-oriented searches rather than user-oriented ones, and that this improper orientation leads to the search engines＇ inability to meet the personalized requirements of users, a novel method based on probabilistic latent semantic analysis （PLSA） is proposed to convert query-oriented web search to user-oriented web search. First, a user profile represented as a user＇ s topics of interest vector is created by analyzing the user＇ s click through data based on PLSA, then the user＇ s queries are mapped into categories based on the user＇ s preferences, and finally the result list is re-ranked according to the user＇ s interests based on the new proposed method named user-oriented PageRank （UOPR）. Experiments on real life datasets show that the user-oriented search system that adopts PLSA takes considerable consideration of user preferences and better satisfies a user＇ s personalized information needs.

To Develop, Keep and Promote Non-English Majors＇ Interest in Oral English

Interest is one type of motivation and it is a vital factor in oral English learning. This paper concerns how to develop, keep and promote non-English majors＇ interests in oral English. It suggests combine interests with teaching contents, teaching activities and other factors.

FAST SCREENING OUT TRUE NEGATIVE REGIONS FOR MICROCALCIFICATION DETECTION IN DIGITAL MAMMOGRAMS

A method is proposed to avoid complex computation in finding the region of interest （ROI） in a mammogram. In the method, the true negative region （TNR） definitely containing no microcalcification clusters （MCCs） is screened out, thus obtaining ROIs, The strategy consists of three steps： （1） the mammogram is partitioned into a set of non-overlapping blocks with an equal size, and for each block, five statistical features are computed, （2） negative blocks are screened out by the threshold method through rough analyses, （3） the more accurate analysis is done by the cost-sensitive support vector machine to eliminate the block definitely containing no MCCs, Experimental results on real mammograms show that 81.71% of TNRs can be screened out by the proposed method.

Mining User Interest in Microblogs with a User-Topic Model

Microblogs have become an important platform for people to publish,transform information and acquire knowledge.This paper focuses on the problem of discovering user interest in microblogs.In this paper,we propose a topic mining model based on Latent Dirichlet Allocation(LDA) named user-topic model.For each user,the interests are divided into two parts by different ways to generate the microblogs:original interest and retweet interest.We represent a Gibbs sampling implementation for inference the parameters of our model,and discover not only user's original interest,but also retweet interest.Then we combine original interest and retweet interest to compute interest words for users.Experiments on a dataset of Sina microblogs demonstrate that our model is able to discover user interest effectively and outperforms existing topic models in this task.And we find that original interest and retweet interest are similar and the topics of interest contain user labels.The interest words discovered by our model reflect user labels,but range is much broader.

RGB-Depth Feature for 3D Human Activity Recognition

We study the problem of humanactivity recognition from RGB-Depth(RGBD)sensors when the skeletons are not available.The skeleton tracking in Kinect SDK workswell when the human subject is facing thecamera and there are no occlusions.In surveillance or nursing home monitoring scenarios,however,the camera is usually mounted higher than human subjects,and there may beocclusions.The interest-point based approachis widely used in RGB based activity recognition,it can be used in both RGB and depthchannels.Whether we should extract interestpoints independently of each channel or extract interest points from only one of thechannels is discussed in this paper.The goal ofthis paper is to compare the performances ofdifferent methods of extracting interest points.In addition,we have developed a depth mapbased descriptor and built an RGBD dataset,called RGBD-SAR,for senior activity recognition.We show that the best performance isachieved when we extract interest points solely from RGB channels,and combine the RGBbased descriptors with the depth map-baseddescriptors.We also present a baseline performance of the RGBD-SAR dataset.

English Vocabulary Memorizing Strategies by Chinese University Students

The findings of the study indicate that students prefer to engage in the vocabulary learning strategies that would be most appealing to them and that would entail less manipulation of the language. Of the four vocabulary memorizing strategies cited in the study （rote repetition, structural associations, semantic strategies, and mnemonic keyword techniques）, students apparently tended to favor the second and the third ones, though rote repetition remains appealing to some of them. Mnemonic devices such as keyword method were rather unpopular to most of the students because they would involve the learners in more active performance of the target language.

Movies—Better Way to Develop Learners＇ Motivation

This article discusses some theories relating to language learning and motivation. Considerable confidence is placed in the value of movies to enhance the learning of English language. From the author＇s own observation and experiences, movies are used to improve learners＇ motivation academically in three stages in addition to the discussion and evaluation of the activities in the three stares.

Developing Pragmatic Competence in EFL Speaking Classes： From Theory to Practice

Fostering students＇ pragmatic competence in ESL/EFL classrooms has been the subject of a large number of studies over the last several decades. This paper will examine the importance of pragmatic competence in L2 spoken communication and investigate factors leading to pragmatic failures. It will also discuss possible ways to help foster students＇ pragmatic competence in EFL speaking classes.

The Study of Image Segmentation Based on the Combination of the Wavelet Multi-scale Edge Detection and the Entropy Iterative Threshold Selection

This paper proposes an image segmentation method based on the combination of the wavelet multi-scale edge detection and the entropy iterative threshold selection.Image for segmentation is divided into two parts by high- and low-frequency.In the high-frequency part the wavelet multiscale was used for the edge detection,and the low-frequency part conducted on segmentation using the entropy iterative threshold selection method.Through the consideration of the image edge and region,a CT image of the thorax was chosen to test the proposed method for the segmentation of the lungs.Experimental results show that the method is efficient to segment the interesting region of an image compared with conventional methods.

Motivation and language learning in the context of China

With the development of economic globalization and China＇s entry into the WTO, English is becoming more important than ever. In China, English is learnt as a second language and has long become the compulsory subject in school. However, many Chinese students don＇t like to learn English and even feel headache in seeing English textbooks. Why English language learning is so painful for them？ This paper focuses on the discussion of factors that affect language learning in the context of China and comes to a conclusion that motivation is the most important factor in language learning. Teachers should try every means to better initiate students＇ motivation and bring their motivation to a full range in the classroom of language.

The Importance of Parent＇s Intervention in Early Years

The purpose of this article is to highlight the importance of parent involvement and intervention in early childhood education. What formulates the lock and key theory in early childhood programs is parental participation versus educational achievement. Upon the parents＇ vital involvement, it is perceived that social and cognitive development, aided by educators, will be significantly achieved. Furthermore, parent＇s early intervention is an added value to classrooms and schools, for it creates a dimension of involvement in the decisions which shape the children＇s education as a whole. Moreover, and due to parent/teacher cooperation in the classroom and at home, the child＇s interest in learning will be triggered, yielding other positive outcomes. Therefore, people must emphasize the parent＇s role in order to aid children＇s complex and evolving multi-cultural and global nature.

New auto color correction algorithm for microscopic imaging system

trast （HC） method is proposed to define saliency value of each pixel, then auto Grabcut segmenta- tion method is used to segment the salient region so as to obtain a region of interest （ROI）. After that, normalized histograms and cumulative histograms for ROI and region of background （ROB） are calculated. The mapping functions of the corresponding regions are derived from reference image to distorted image through the nearest cumulative histogram matching method, so that color correction can be finally achieved. Experimental results show that benefitting from the separate treatment to ROI and ROB, the proposed color correction method could avoid error propagation between the two different regions, which achieves good color correction result in comparison with other correction methods.

Real-time Forward Vehicle Detection Method Based on Edge Analysis

This paper proposes a method which uses the extended edge analysis to supplement the inaccurate edge information for better vehicle detection during vehicle detection. The extended edge analysis method detects two vertical edge items, which are the borderlines of both sides of the vehicle, by extending the horizontal edges inaccurately due to the illumination or noise existing on the image. The proposed method extracts the horizontal edges with the method of merging edges by using the horizontal edge information inside the Region of Interest （ROI）, which is set up on the pre-processing step. The bottona line is determined by detecting the shadow regions of the vehicle from the extracted hoodzontal edge one. The general width of the vehicle detecting and the extended edge analyzing methods are carried out side by side on the bottom line of the vehicle to determine width of the vehicle. Finally, the finmal vehicle is detected through the verification step. On the road image with conaplicate background, the vehicle detecting method based on the extended edge analysis is more efficient than the existing vehicle detecting method which uses the edge information. The excellence of the proposed vehicle detecting method is confirmed by carrying out the vehicle detecting experiment on the complicate road image.

Increasing Literacy Through Specific Tasks Design

This study focuses on thirty-five Low-level/achieving students on General Education English which meets for two hour.,; per week, eight weeks for two consecutive semesters （totaling thirty-two hours） in the University of Technology in Taiwan. Its chief aims four-fold： First, to promote the students＇ learning motivation; second, to increase the students＇ learning interests; third, to raise their English abilities by reading theme-based/oriented topics; and, fourth, instruct them by giving guidelines to make Power-Point presentations in class. A prior or pilot survey was conducted to provide empirical opportunities to collect and explore the participants＇ views, comments, and opinions in relation to the selected research questions on this topic. The results also indicate that students can speak different/various length of words, utilize appropriate phrase to express their ideas or goals, and to speak in various/different paces, etc. Teachers couldn＇t assess the students only by their test results due to the different learning styles adopted by individual students; however, through this survey, students can be better assisted through the identification of their individual styles or habits, their individual styles or habits of learning. As regards relevant knowledge about their students＇ learning styles, teachers may consider whether and how to adjust their methods of teaching in order to better motivate them to learn English more effectively and efficiently.