科学“背谱法”在成人钢琴教学中的实用性探析

钢琴乐谱的复杂、冗长总是将初学者置于"背谱"的困境。对成人而言,由于日常生活琐事的困扰,年龄增长记忆力的减退等原因而更非易事。这是我国成人钢琴教育中亟待解决的一大难题。本文结合钢琴教学实践为成人学琴者探寻科学高效的背谱方法。

小柴胡汤配合背俞指针疗法治疗胃食管反流病肝胃郁热证的临床疗效观察

目的:观察小柴胡汤配合背俞指针疗法治疗胃食管反流病肝胃郁热证的临床疗效。方法:将60例肝胃郁热证胃食管反流病患者随机分为治疗组30例和对照组30例。两组均以连续治疗4周为一个疗程。结果:治疗组30例,痊愈12例,显效11例,有效6例,无效1例,总有效率为97%;对照组痊愈6例,显效10例,有效5例,无效9例,总有效率为70%,两组差异有统计学意义(P<0.05)。治疗前后在中医主症积分、次症积分、证候总积分比较上,治疗组优于对照组(P<0.05)。结论:小柴胡汤配合背俞指针疗法治疗肝胃郁热证胃食管反流病疗效显著,值得临床推广运用。

MULTI-PHASE ACTIVE CONTOUR MODEL FOR IMAGE SEGMENTATION BASED ON LEVEL SETS

A new multi-phase active contour model is proposed for the image segmentation. It is a generalization of the C-V model with the following characteristics： （1） A key technique, called the technique of painting background （TPBG）, is developed to remove the information of the background, which blocks the detection of weak boundaries in the object; （2） The two-phase level set is applied multiple times for getting the multi-phase segmentation model （n-1 times for the n-phase model, n〉1）; （3） A scaling-based method is introduced to improve the basic model. Experimental results show that the proposed model is effective for detecting weak boundaries.

Adaptive moving target detection algorithm based on Gaussian mixture model

In order to enhance the reliability of the moving target detection, an adaptive moving target detection algorithm based on the Gaussian mixture model is proposed. This algorithm employs Gaussian mixture distributions in modeling the background of each pixel. As a result, the number of Gaussian distributions is not fixed but adaptively changes with the change of the pixel value frequency. The pixels of the difference image are divided into two parts according to their values. Then the two parts are separately segmented by the adaptive threshold, and finally the foreground image is obtained. The shadow elimination method based on morphological reconstruction is introduced to improve the performance of foreground image＇s segmentation. Experimental results show that the proposed algorithm can quickly and accurately build the background model and it is more robust in different real scenes.

Purification and Bioassay of Mouse β NGF Antibody

Anti β NGF antiserum was prepared by immunizing rabbits with purified mouse β NGF. It presented immunopositivity to β NGF on Western blot, resulting in a single band approximately at the molecular weight of 14 kDa. The antiserum was further purified into anti β NGF IgG by affinity chromatography. Chicken embryonic dorsal root ganglia (DRG) were cultured to test the biological activities of β NGF and its antibody.

Background Subtraction and Frame Difference Based Moving Object Detection for Real-Time Surveillance

A new real-time algorithm is proposed in this paperfor detecting moving object in color image sequencestaken from stationary cameras.This algorithm combines a temporal difference with an adaptive background subtraction where the combination is novel.Ⅷ1en changes OCCUr.the background is automatically adapted to suit the new conditions.Forthe background model,a new model is proposed with each frame decomposed into regions and the model is based not only upon single pixel but also on the characteristic of a region.The hybrid presentationincludes a model for single pixel information and a model for the pixel’s neighboring area information.This new model of background can both improve the accuracy of segmentation due to that spatialinformation is taken into account and salientl5r speed up the processing procedure because porlion of neighboring pixel call be selected into modeling.The algorithm was successfully used in a video surveillance systern and the experiment result showsit call obtain a clearer foreground than the singleframe difference or background subtraction method.

Auto Composition System for Two Voice Part Inventions Based on Soft Computational Methods

Algorithmic composition is a very popular research field today. Bach's "two voice part invention" is the research object in this paper. The grammar and compositional rules of "invention" are introduced first. Then two soft computational methods,genetic algorithms and back propagation (BP) neural network technology,are combined to the experiment on assisting in composing "two voice part inventions". The system presented in this paper is quite effective and satisfactory.

Robust background subtraction in traffic video sequence

For intelligent transportation surveillance, a novel background model based on Mart wavelet kernel and a background subtraction technique based on binary discrete wavelet transforms were introduced. The background model kept a sample of intensity values for each pixel in the image and used this sample to estimate the probability density function of the pixel intensity. The density function was estimated using a new Marr wavelet kernel density estimation technique. Since this approach was quite general, the model could approximate any distribution for the pixel intensity without any assumptions about the underlying distribution shape. The background and current frame were transformed in the binary discrete wavelet domain, and background subtraction was performed in each sub-band. After obtaining the foreground, shadow was eliminated by an edge detection method. Experimental results show that the proposed method produces good results with much lower computational complexity and effectively extracts the moving objects with accuracy ratio higher than 90%, indicating that the proposed method is an effective algorithm for intelligent transportation system.

Robust Background Subtraction Method via Low-Rank and Structured Sparse Decomposition

Background subtraction is a challenging problem in surveillance scenes. Although the low-rank and sparse decomposition(LRSD) methods offer an appropriate framework for background modeling, they fail to account for image's local structure, which is favorable for this problem. Based on this, we propose a background subtraction method via low-rank and SILTP-based structured sparse decomposition, named LRSSD. In this method, a novel SILTP-inducing sparsity norm is introduced to enhance the structured presentation of the foreground region. As an assistance, saliency detection is employed to render a rough shape and location of foreground. The final refined foreground is decided jointly by sparse component and attention map. Experimental results on different datasets show its superiority over the competing methods, especially under noise and changing illumination scenarios.

An efficient approach for shadow detection based on Gaussian mixture model

An efficient approach was proposed for discriminating shadows from moving objects. In the background subtraction stage, moving objects were extracted. Then, the initial classification for moving shadow pixels and foreground object pixels was performed by using color invariant features. In the shadow model learning stage, instead of a single Gaussian distribution, it was assumed that the density function computed on the values of chromaticity difference or bright difference, can be modeled as a mixture of Gaussian consisting of two density functions. Meanwhile, the Gaussian parameter estimation was performed by using EM algorithm. The estimates were used to obtain shadow mask according to two constraints. Finally, experiments were carried out. The visual experiment results confirm the effectiveness of proposed method. Quantitative results in terms of the shadow detection rate and the shadow discrimination rate(the maximum values are 85.79% and 97.56%, respectively) show that the proposed approach achieves a satisfying result with post-processing step.

A Comparison between Heathcliff and Chillingworth from the Perspective of Romanticism

Heathcliff and Chillingworth are the two typical satan type heroes among literature works. To some extent, their revenge is similar, but there are also differences. However, there are few comparisons between the two heroes from the perspective of romanticism. From the analysis of the author＇s living background and their literary genre of the two works, the paper will analyse the reasons why Heathcliff and Chillingworth want to revenge, and reflect their similarities and differences in terms of their character, means, ending, and so on. The paper will analyse the two heroes by using the methods of literature data collection, text comparison and induction, and come to a conclusion that the romanticism carried by the two authors is influential in shaping the two satan type heroes. Thus to gain more details about the similarities of the two cruel revenger, and the differences of their individuality and different ways of revenge.

Specific-Scene Oriented Pedestrian Detection in Visual Sensor Network

Pedestrian detection is one of the most important problems in the visual sensor network. Considering that the visual sensors have limited cap ability, we propose a pedestrian detection method with low energy consumption. Our method contains two parts: one is an Enhanced Self-Organizing Background Subtraction (ESOBS) based foreground segmentation module to obtain active areas in the observed region from the visual sensors; the other is an appearance model based detection module to detect the pedestrians from the foreground areas. Moreover, we create our own large pedestrian dataset according to the specific scene in the visual sensor network. Numerous experiments are conducted in both indoor and outdoor specific scenes. The experimental results show that our method is effective.

On Governance of Celebrity Endorsements in False Advertising

incidents of extreme hyperbole and fraud in celebrity advertisements have occurred repeatedly because advertising participants are driven by commercial interests and it is also relevant to the deep social and cultural background. Therefore, great and prolonged efforts should be made to govern celebrity advertising in a multi-pronged way： strengthening legal supervision on the basis of clearly defined false advertising; establishing early warning and punishing systems including pre-qualification system, filing system and banning system; promoting public interest litigation system; increasing consumers＇ media literacy.

Rediscovering recitation

Recitation is a traditional and still popular learning method in Chinese language learning. While some foreign scholars abroad strongly opposed it applying to the foreign language learning because they thought it not helpful. This paper rediscovers recitation through clearing misunderstandings of the recitation; points out that recitation has pedagogical, management benefits and gives some suggestions on how to do recitation. This paper also implies that with the application of modern teaching theory and teaching aid, the traditional language teaching method should not be totally abandoned.

A Nonparametric Approach to Foreground Detection in Dynamic Backgrounds

Foreground detection is a fundamental step in visual surveillance.However,accurate foreground detection is still a challenging task especially in dynamic backgrounds.In this paper,we present a nonparametric approach to foreground detection in dynamic backgrounds.It uses a history of recently pixel values to estimate background model.Besides,the adaptive threshold and spatial coherence are introduced to enhance robustness against false detections.Experimental results indicate that our approach achieves better performance in dynamic backgrounds compared with several approaches.

Study on Methodology of Culture Teaching

Culture teaching has to be carried out systematically and specifically. It can not only depend on the teacher＇s occasional input knowledge concerning cultures but demand fundamental changes in educational structures, philosophies and methoclologies. This paper attempts to build up a conceptual framework guiding the practice of culture-oriented English teaching. The literature review includes three main aspects： aim for strengthening awareness of culture teaching; methodology of culture teaching; culture teaching techniques. The paper also points out that only by combination of language teaching and culture teaching can students reach the purpose of enhancing the intercultural communicative competency.

Enteropathic spondyloarthropathy:A common genetic background with inflammatory bowel disease?

The association between spondyloarthropathy and in flammatory bowel disease(IBD) is largely established, although prevalence is variable because of different population selection and diagnostic methodologies.Most studies indicate that as many as 10%15% of cases of IBD are complicated by ankylosing spondylitis(AS) or other forms of spondylarthritis(SpA).Of note, ileal inflammation resembling IBD has been reported in up to two thirds of cases of SpA, and it has been suggested that the presence of ileitis is associated with the chronic ity of articular complications.Although this observation is of interest to unravel the pathophysiology of the disease, systematic screening of patients with SpA by ileocolonos copy is not indicated in the absence of gut symptoms, as only a small proportion of patients with subclinical gut inflammation will develop overt IBD over time.The existence of familial clustering of both IBD and AS, the coexistence of both conditions in a patient, the evidence of an increased risk ratio among f irstand seconddegree relatives of affected AS or IBD patients and f inally, the increased crossrisk ratios between AS and IBD, strongly suggest a shared genetic background.So far, however, IL23R is the only identified susceptibility gene shared by both IBD and AS.Although functional studies are still needed to better understand its pathogenic role, great ef fort is being spent therapeutically targeting this pathway that may prove effective for both disorders.

Modeling and Generating Realistic Background Traffic by Hybrid Approach

One of the key challenges in largescale network simulation is the huge computation demand in fine-grained traffic simulation.Apart from using high-performance computing facilities and parallelism techniques,an alternative is to replace the background traffic by simplified abstract models such as fluid flows.This paper suggests a hybrid modeling approach for background traffic,which combines ON/OFF model with TCP activities.The ON/OFF model is to characterize the application activities,and the ordinary differential equations(ODEs) based on fluid flows is to describe the TCP congestion avoidance functionality.The apparent merits of this approach are(1) to accurately capture the traffic self-similarity at source level,(2) properly reflect the network dynamics,and(3) efficiently decrease the computational complexity.The experimental results show that the approach perfectly makes a proper trade-off between accuracy and complexity in background traffic simulation.

Grammar Teaching as Product or as Process？

The teaching of grammar has received increasing attention in recent language teaching and learning literature. The major argument lies in teaching grammar as product or as process. Teaching grammar as product focuses on giving learners a clear and explicit framework about the language; while teaching grammar as a process emphasizes the use of language by the learner. This paper gives a brief introduction of teaching grammar as product and as process and points out that language teachers can choose the more appropriate approach of them in the specific context.