严万里《商君书校》校勘特色平议

<商君书校>一书,以其校勘的精审、方法的缜密见长.著者淹博通贯,小学根底扎实,且熟谙于朴学家校治古书之法,因而在校勘的实践中应付裕如,左右逢源.在校勘上搜罗宏富,征引广博,在指出诸本文字差异的同时,抉择按断,兼下己意.不盲从古本或善本,敢于大胆发疑,刊改漏失,补苴未备,提出了若干具有创造性的新见解.校勘文字,大胆审慎,...     

FARMER: A novel approach to file access correlation mining and evaluation reference model

File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the “bad knowledge” can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%–40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.     

Extraction of novel features for emotion recognition

Hilbert-Huang transform method has been widely utilized from its inception because of the superiority in varieties of areas. The Hilbert spectrum thus obtained is able to reflect the distribution of the signal energy in a number of scales accurately. In this paper, a novel feature called ECC is proposed via feature extraction of the Hilbert energy spectrum which describes the distribution of the instantaneous energy. The experimental results conspicuously demonstrate that ECC outperforms the traditional short-term average energy. Combination of the ECC with mel frequency cepstral coefficients (MFCC) delineates the distribution of energy in the time domain and frequency domain, and the features of this group achieve a better recognition effect compared with the feature combination of the short-term average energy, pitch and MFCC. Afterwards, further improvements of ECC are developed. TECC is gained by combining ECC with the teager energy operator, and EFCC is obtained by introducing the instantaneous frequency to the energy. In the experiments, seven status of emotion are selected to be recognized and the highest recognition rate 83.57% is achieved within the classification accuracy of boredom reaching 100%. The numerical results indicate that the proposed features ECC, TECC and EFCC can improve the performance of speech emotion recognition substantially.     

再议辛亥革命的成败

辛亥革命的动力是由革命党、立宪派、统治集团内部改革派等多种力量组成的反清阵营,立宪派压抑党人,袁世凯迫孙让位应视为阵营内部的斗争,不能作为失败的依据。立宪派"保路"引发武昌起义,策动"独立"促进清朝统治的瓦解,袁氏集团拥护"共和"迫使清廷退位,革命阵营扩大恰与胜利同行。辛亥革命的目标可以理解为"主体预设"和"后人规定"等多层任务,要求彻底完成后人规定的反帝反封建任务,违背了历史主义原则,据此不足以证明其失败。辛亥革命基本完成了主体预设的三民主义,也参与了反帝反封建的任务,表明了胜利。辛亥革命付出代价决定于专制的顽固与满汉之间的对峙,革命后的割据根源在于封建经济与列强干预,代价与混战也不能证明失败。革命促进了政治体制、经济基础与文化意识的进步,受益大于成本,再次印证胜利。     

我国研究生资助体制演进的研究

介绍新中国成立以来我国研究生资助体制的演进过程,指出新中国六十年中,我国的研究生资助方式和资助力度均发生了很大的变化,从单一的助学金模式发展为“奖、助、贷、补”多元化叠加模式;从完全免费教育,到部分免费教育,资助力度呈现下降态势。研究生学习阶段的机会成本增大,研究生贫困化现象日渐严重,这将不利于“建设人才资源强国”战略目标的实现。     

3.11日本大地震后中国中学生共情与助人关系的研究:文化接触的调节作用

本研究以2011年春季发生的日本地震和云南地震为背景,对汶川地震灾区和非灾区的中学生对地震受灾民众的态度进行比较,发现:1)汶川地震灾区和非灾区的中学生帮助云南受灾民众的意愿都显著高于帮助日本受灾民众的意愿;2)汶川地震灾区的中学生状态共情的程度和帮助云南受灾民众的意愿都显著高于非灾区的中学生,但二者帮助日本受灾民众的意愿差异不显著;3)对日本文化的接触程度调节共情与助人意愿的关系,对日本文化接触越多,帮助日本受灾民众的可能性越大.     

培智学校社区课堂教学模式的构建与探索

基于宁波市达敏学校社区课堂教学的行动研究,本文系统地探讨了智力障碍学生的 社区课堂教学模式的构建,并从实践成效对该模式的可行性、有效性进行了论述,以期提供 培智学校课堂教学新思路,以适应当今世界特殊教育发展的趋势,使学生“学以致用”,融入 社会,提高生活质量.     

艺术类大学生情绪调节策略特点及其与人格、自动思维关系研究

采用问卷法对351名艺术类大学生进行调查,探讨艺术类大学生情绪调节策略特点及其与人格、自动思维的相互关系.结果表明:(1)艺术类大学生在情绪调节策略使用上性别差异不显著;在愤怒和悲伤两种消极情绪调节策略中,注意转移策略最多.前者的情境修正策略最少,后者的人际支持策略最少.表达抑制策略在两种情绪调节中的使用均较少;在快乐情绪调节策略中,支持分享策略使用最多,表达抑制最少.(2)人格特质P、N和L及自动思维与情绪调节策略关系密切;(3)人格特质P,或通过自动思维对情绪调节策略有直接和间接效应.     

广州市小学六年级学生教育补习情况研究——基于学生家长的视角

本文通过对广州市初中一年级学生家长的问卷调查,了解学生在六年级时参加教育补习的情况.结果发现,班级排名中等以上的学生参加补习的比例更大;家长让班级排名靠前的学生参加补习是为了增加他们的竞争优势,因而这些学生更倾向于选择竞赛类科目补习;班级排名、家长动机和补习费用是影响家长对教育补习效果主观评价的重要因素;对于班级排名靠前的学生而言,教育补习并不会对他们的排名产生明显的影响.     

儿童哲学研究的缘起与现状考察

儿童哲学的诞生缘于20世纪60年代对话哲学与"批判性思维"运动的兴起.我国有近三十年的儿童哲学研究,相比于前二十年的研究,近十年的研究显得更为"理智",在引进、介绍、实验的同时,研究者开始对儿童哲学研究的方向和内容进行审视,寻找儿童哲学与中国教育改革的契合之路.