系统性风险并未释放干净

小指数中创业板指数率先出现的反弹结构目前仍未完成,而大指数周四创出新低,寓示着未来形势继续恶化。预计在下周中段后,将形成向下合力。市场中期下调趋势仍然未完成,故不建议普通投资人过早抄底。     

6月应有的心态:等待

A股连续大跌之后,底在哪里?各路英豪纷纷出"口"预测——从目前收集的资料来看,外资投行一致积极看多,国内机构一致喊谨慎。我的判断是:在6月份,指数没有下跌空     

五月:反抽确认调整 减仓是主基调

上期笔者担忧的下跌在本周成为现实,也给四月的市场走势来了个乐极生悲,市场似乎在反复验证调整市道中"乐观遇调整,悲观现转机"的真理。在此次风险释放     

钛材扶持政策出台 宝钛股份业绩待释放

一、股市动态分析30指数回顾及简评上证指数上周末收于2497.75点,本周末收于2482.34点,下跌0.62%;股市动态30指数上周末报收813.71点,本周末收于812.38点,下跌0.16%;其中股票组合下跌0.22%。股市动态30指数自2008年1月1日设立以来,下跌18.76%,同期上证指数下跌52.82%。本周股市动态30指数、股票组合均跑赢大盘。     

化学能与热能、盖斯定律的综合应用

最新《考试大纲》要求考生能正确理解化学反应中物质变化和能量变化的关系.根据考纲的这一要求将化学反应中的物质变化和能量变化综合起来考查将成为一种热门的题型,同时注意到由于能源日益匮乏,因此有关燃烧     

从高考题看两个守恒定律的综合应用

动量守恒定律与能量守恒定律是高中物理中两个最重要的基本规律,在力学中能量守恒定律则表现为机械能守恒定律,它们在物理学中得到广泛应用.历年的高考物理试题对动量和能量的考查都占有较大比重,并且经常是考查一些常见的模型,要用动量和能量的观点解决,题目综合性强、灵活性大、分析能力要求较高.因此,在高考物理总复习中,必须引起高度重视.     

炸弹，炸弹，快显形

植物在整个生物界中是最基础的一类生物,它们为人类提供了食物和能量来源,装点并美化了人类的生存环境。最近,美国科学家又发现了植物的新用途,即可以经过基因改造后用来反恐,发现那些隐蔽的炸弹。     

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.     

变3,霸气外露

会变形的不一定是被奥特曼打的小怪兽,叫金刚的也不一定就爱爬帝国大厦。总之,无论和"变形",还是和"金刚"有关系的,听起来都不怎么善良。还记得那年夏天有一个叫萨姆(Sam)的高中生吗?他唯一的愿望是拥有一辆属于自己的车。为了筹集买车的费用,他决定变卖祖父的一副古董眼镜。谁知,这副眼镜招来了一群