情感教学在中学语文课堂教学中的应用——以教学《背景》为例

苏霍姆林斯基说：“没有情感，道德就会成为枯燥无味的空话。只能培养伪君子。”因此纵观我们现在的教育模式，改革已在情理之中，尤其是随着社会的发展越来越快，对教育发展培养的要求也越来越高，由应试教育向素质教育的转变势在必行。

尊严意识:“人性的精髓”——兼论石舒清的小说《逝水》与《背景》

石舒清的小说《逝水》与《背景》,通过相似的老人形象,对人的生存意义、精神信仰、生活价值和人的更高发展、理想境界等进行了形象化的探索与思考,表达了对生命尊严、健全人格的关注与企求,颂扬了人类精神生命中尊严意识的永恒与无价。本文认为,“尊严意识”是人性中良性因素的“发酵剂”,人文思想的重要资源,健全人格的核心,是文学作品应不断开掘和弘扬的“人性的精髓”。

沟通从心灵开始——《背景》教学片段与课后反思

教学片断 师：通过上节课的学习,我们知道了《背影》其实是一首父慈子孝的赞歌,作者巧取视角、饱含真情、朴实无华地为我们讲述了一个特定背景下的父子情深的故事——父亲关心爱护儿子,儿子感激爱戴父亲（板书）。你从哪些文字看出了父亲对儿子的关爱呢？ （学生先小组讨论交流,教师指导,全班交流）

再论朱自清《背景》之内涵

《背影》是朱自清先生写父子送别的散文,不足千字,没有曲折多变的情节,没有深奥的哲理,没有象征、隐喻,语言朴实简洁。

工程认证背景下实践课程成绩评定方法与应用

随着非标准化考试等教学改革的推进,课程成绩评定成为高校实践类课程的重要考核方式。然而,由于缺乏客观定量的评价方法,主观性考核方式在认定考生成绩时存在较大不确定性。如何有效降低主观评判的随意性和不确定性成为课程成绩核定亟须解决的问题。研究提出基于师生协作的综合成绩评估方法,采用动态权重法综合学生打分和教师打分,形成更加合理的综合成绩分布,并以本科必修课程“环境规划与管理”期末成绩评定为例开展案例研究。结果表明,合理应用学生打分能够改善学生成绩分布,但要注意规避学生打分可能存在的均一化倾向和简单等权评分带来的成绩偏态分布问题。研究成果以期为大学实训类课程成绩评定提供一种新的方法。

“修改背景”的困境:北岛移居海外后的诗歌创作

以北岛移居海外后创作的诗歌作为研究对象,可以看到,"背景"成为其内心的一大纠结,他当年的创作因当年的黑色背景而格外夺目,而今天的艺术却因脱离了母语的背景而兀自神伤,"修改背景"于是不但意味一种冲动,也成为一种想象,并成为北岛海外诗歌创作的一个最重要的意象。

背景

县里新招录了一批基层岗位工作人员，人事局根据全县各乡镇缺编情况，对这批人员进行了分配。

背景

春气氤氲。我倚在这个破旧石塔的栏杆上想：一定有许多生物和我一样，走出沉闷的居室，到一个大得无边的空旷处，呼吸和张望。经过一个冬日的蛰伏，人的慵懒习气培养起来，在一次又一次地伸展腰肢里，节气走到了转换的边缘。

闲话《背景》

读着易清华的长篇小说《背景》，想起我们相识都差不多二十年了。很多年前，我们还年轻，经常一起鬼混谈文学。有一次喝醉了酒，其中一个哥们儿叹道：“要知道，我们都是有有大师情结的人!”他说的我们，不包括我，却包括他老易。

Research on Background and Utilization of Germplasm Resources in Maize

[Objective] The research aimed at introducing the background and utilization of germplasm resources in maize.[Method] The research progress on genetic background and utilization of maize germplasm resources was comprehensively reviewed in this paper,including maize heterotic groups and heterotic patterns,their flexible application in breeding and the utilization of various types of original materials.[Result] The results show that germplasm resource is the premise and basis for maize breeding.In-depth understanding and a reasonable selection of germplasm resources can significantly improve the breeding efficiency and speed up the breeding process.At the same time,it is considered that the selection and construction of original materials in maize breeding can not be limited to the heterotic groups and heterotic patterns,but has to be used reasonablely according to different types of germplasm resources and individual breeding objective and idea as well.[Conclusion] This study had broadened the idea and provided inspiration for the maize breeding practice in China.

Biological Characteristics and Rumen Microorganisms of Gayal(Bos frontalis)in Yunnan Province

[Objective]The paper was to provide reference for further study and development of gayal（Bos frontalis）.[Method]According to the research status at home and abroad,the biological characteristics and rumen microorganisms of gayal in Yunnan Province was studied.[Result]Gayal in Yunnan had typical body form and very good meat production performance,its muscle fiber diameter was significantly less than other kinds of cattle;the water holding ratio,muscle tenderness and muscle succulency were significantly higher than others;its amount,shape and structure of chromosome were different from yellow cattle（Bos taurus）and wild cattle（Bos gaurus）,and the amounts of those chromosomes（2n）were 58,60 and 56,respectively.It could create hybrid with yellow cattle;the gayal＇s special diet was bamboo,its in vitro dry matter digestibility（IVDMD）on various crude forage was significantly higher than yellow cattle in Yunnan;the viable bacteria and cellulolytic bacteria in rumen were 4.51×109 and 1.63×109 CFU/ml,which was significantly higher than yellow cattle in Yunnan,its dominant bacteria in rumen mainly was cellulolytic bacteria.[Conclusion]Gayal not only had high academic value,but also had a great development value.

Mitochondrial DNA D-loop Variation and Genetic Background of Brahman Cattle

The complete mitochondrial DNA D-loop sequences from 10 stud Brahman cattle were sequenced and analyzed. The results showed that the genetic diversity of Brahman cattle was rich ; the rate of nucleotide variation, haplotype diversity and nucleotide diversity were 6.25%, 0.978± 0.054 and 0.014 30± 0.008 68, respectively. Nine haplotypes were defined and fell into two distinct lineages, suggesting that Brahman cattle have both Bos indicus （Zebu） and B. taurus genetic background. The taurine haplotypes were predominant at 90% and only Brah-6 belonged to the Asian zebu mthaplotype. This indicates that Brahman cattle was one of the zebu breeds and inherited the excellent characteristics of both the Asian zebu and European beef cattle, such as easy calf delivery, high quality beef, heat tolerance and resistance to various parasites. Breeders introduced Brahman cattle to improve the productivity and adaptability of native cattle. The Zebu has evidently frequently introgressed into the modem taurine breeds. As for modem zebu breeds, B. taurus also highly contributed to their formation, except for the Asian zebu. Furthermore our results also confirm the hypothesis that B. indicus has undergone a separate domestication event and originated from the Indian subcontinent.

REAL-TIME TRACKING FOR FAST MOVING OBJECT ON COMPLEX BACKGROUND

A real-time tracking system for the fast moving object on the complex background is proposed.The Markov random filed（MRF）model based background subtraction algorithm is used to detect the changing pixels and track the moving object.The prior probability of the segmentation mask is modeled by using MRF,and the object tracking task is translated into the maximum a-posterior（MAP）problem.Experimental results show that the method is efficient at both offline and online moving objects on simple and complex background.

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.

Geochemistry of intrusive rock in Dachang tin-polymetallic ore field, Guangxi, China: Implications for petrogenesis and geodynamics

The major element, trace element and rare earth element（REE） of the intrusion rock from the Dachang ore field in Guangxi, China, were analyzed. The results show that the phenocryst（about 15%） and matrix（about 85%） mainly consist of quartz, K-feldspar and plagioclase. The rock is composed of low content of Si and high content of Al2O3, low contents of Ca, Fe2O3, Na, TiO2, etc. The intrusion rock has the medium alkali content, attributing to K-rich type rock; and contains medium to low REE contents, of which light rare earth elements（LREEs） and heavy rare earth elements（HREEs） are highly fractionated, showing a weak negative Ce anomaly and a negative Eu anomaly. These rocks are enriched in LREE, and the large ion lithophytes elements（LILE） are rich in Rb, Sr, and U; the high-field-strength elements（Nb, Th, etc） are relatively depleted. The REE chondrite-normalized patterns are consistent with the overall, roughly indicating their similar characteristics, sources and evolution. The intrusion rock mainly formed during the collisional and within-plate periods.

Multimodal background model with noise and shadow suppression for moving object detection

A statistical multimodal background model was described for moving object detection in video surveillance. The solution to some of the problems such as illumination changes, initialization of model with moving objects, and shadows suppression was provided. The background samples were chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation was used to estimate the probability density function of background intensity. Pixel's neighbor information was considered to remove noise due to camera jitter and small motion in the scene. The hue-max-min-diff color information was used to detect and suppress moving cast shadows. The effectiveness of the proposed method in the foreground segmentation was demonstrated in the traffic surveillance application.

PYRAMIDAL MULTIPHASE LEVEL SET FRAMEWORK FOR BRAIN TUMOR DETECTION USING GENERALIZED TECHNIQUE OF PAINTING BACKGROUND

The pyramidal multiphase level set framework （PMLSF） based on the technique of painting background （TPBG） and the Chan-Vese model can detect multiple objects on a given image. However, the boundaries of the sub-object obtained by PMLSF-TPBG are not variable since a specialcolor parameter is used in TPBG. To solve the problem, a new technique utilizing a varying parameter is proposed to ensure that PMLSF is effective for the detection of the desired boundaries of the sub-object. The interval of the variable color parameter is proved and the effects of the parameter are also discussed. Experimental results for the brain tumor detection show that different boundaries of the brain tumors can be detected with different color parameters. It is especially useful for clinical diagnoses.