罗扎诺夫论陀思妥耶夫斯基:关于“瘙痒”的“神言”

罗扎诺夫写过许多关于陀思妥耶夫斯基的文章,他认为,陀思妥耶夫斯基有一个卓越的想法,幸福对于每个人来说就是实现自己的愿望,而全部问题就在于"瘙痒",因为每个人都以自己的方式"瘙痒"。其实,罗扎诺夫还有一个更为出色的观念。他认为陀思妥耶夫斯基的全部作品中有那么七八十页堪称"神言"的巅峰之作,它们以独特的方式所达到的那种威力、美丽、光辉,那种深入"事物本质"的穿透力,是其他作家那里从未碰到过的。那么,"瘙痒"与"神言"之间究竟是怎样的关系?据罗扎诺夫的意见,只有先知才能真正理解瘙痒的意义,只有执著于瘙痒的人,才有可能说出"神言"。罗扎诺夫本人是理解"瘙痒"的,并且在《隐居》《落叶》等著作中说出了自己的"神言"。

Mirror neuron system as the joint from action to language

Mirror neuron system （MNS） represents one past decade, and it has been found to involve in multiple of the most important discoveries of cognitive neuroscience in the aspects of brain functions including action understanding, imitation, language understanding, empathy, action prediction and speech evolution. This manuscript reviewed the function of MNS in action understanding as well as language evolution, and specifically assessed its roles as the bridge from body language to fluent speeches. Then we discussed the speech defects of autism patients due to the disruption of MNS. Finally, given that MNS is plastic in adult brain, we proposed MNS targeted therapy provides an efficient rehabilitation approach for brain damages conditions as well as autism patients.

SPEECH EMOTION RECOGNITION USING MODIFIED QUADRATIC DISCRIMINATION FUNCTION

Quadratic Discrimination Function （QDF） is commonly used in speech emotion recognition, which proceeds on the premise that the input data is normal distribution. In this paper, we propose a transformation to normalize the emotional features, emotion recognition. Features based on prosody then derivate a Modified QDF （MQDF） to speech and voice quality are extracted and Principal Component Analysis Neural Network （PCANN） is used to reduce dimension of the feature vectors. The results show that voice quality features are effective supplement for recognition, and the method in this paper could improve the recognition ratio effectively.

Optimizing neural networks by genetic algorithms for predicting particulate matter concentration in summer in Beijing

We developed and tested an improved neural network to predict the average concentration of PM10(particulate matter with diameter smaller than 10 ?m) several hours in advance in summer in Beijing.A genetic algorithm optimization procedure for optimizing initial weights and thresholds of the neural network was also evaluated.This research was based upon the PM10 data from seven monitoring sites in Beijing urban region and meteorological observation data,which were recorded every 3 h during summer of 2002.Two neural network models were developed.Model I was built for predicting PM10 concentrations 3 h in advance while Model II for one day in advance.The predictions of both models were found to be consistent with observations.Percent errors in forecasting the numerical value were about 20.This brings us to the conclusion that short-term fluctuations of PM10 concentrations in Beijing urban region in summer are to a large extent driven by meteorological conditions.Moreover,the predicted results of Model II were compared with the ones provided by the Models-3 Community Multiscale Air Quality(CMAQ) modeling system.The mean relative errors of both models were 0.21 and 0.26,respectively.The performance of the neural network model was similar to numerical models,when applied to short-time prediction of PM10 concentration.

A Consumer Choice Theory Incorporating Behavioral and Spiritual Wisdom

A consumer makes choices by following a certain paradigm, a system for organizing his thinking based on norms that are determined by certain norm-setters or role models. Widespread societal ills such as depression and suicide seem to correlate with certain types of consumer behavior. However, current consumer choice theories don＇t appear to be effective in evaluating epidemiology research. This study compares existing consumer choice paradigms and introduces the linguistic paradigm as a framework for studying the organization of human thinking. The linguistic paradigm is based on the nature of human language and on spiritual wisdom. The paradigm is implemented to generate models （process templates） for the analysis of selected consumer choice issues. The potential effectiveness of these models in analyzing consumer behavior is discussed.

Culture of Life and Culture of Death. Theological Reflection on Suicide and Euthanasia on Films

Movies have great power to shape the system of values in contemporary culture. In this paper, we deal with theological reflection of suicide and euthanasia and their presentation as free decisions of individuals shown in the movies Seven Pounds and The Sea Inside. Also, we shall present theological reflection on culture of life and culture of death aimed to find common ground for dialogue between two opposed points of view. In the first, introductory part, we will present two views of human freedom, and we will point out that just a theological speech about freedom includes the category of responsibility. On the other hand, what happens often is neglecting categories of resposibility and absolutisation or marginalization of free will. Then we will, as an introduction to the interpretation of films, present global statistics that justify global concerns when it comes to suicide and euthanasia. Next, we will show in central part the concept of quality of life, and we will interpret it through the two mentioned films. In the last section, We conclude, despite opposition between culture of life and death, to offer category of altruism as a starting point for dialogue between the two cultures.

Study on Chinese painting freehand brushwork

In art of the canvas, the brush stroke in Chinese painting and calligraphy is one of the important behavior means of the canvas, have independent aesthetic value at the same time, contemporary, one that is with pluralism, varied painting idea and painting skill and technique of art is great and abundant, traditional in the canvas works ＂ The brush stroke in Chinese painting and calligraphy ＂ Already not merely can be spoken to the limit by the simple scribbling and wiping of pen, and Chinese comfortable brush stroke in Chinese painting and calligraphy, technique of writing incorporate visual language and spiritual intension created that can enrich the picture greatly in the canvas is created. This text attempts to canvass the canvas and create the feasibility that incorporated into comfortable brush stroke in Chinese painting and calligraphy and expansionary from two respect factors of cultural idea and skill and technique and tool material.

Neural Network Nonlinear Predictive Control Based on Tent-map Chaos Optimization

With the unique erggdicity, i rregularity, and.special ability to avoid being trapped in local optima, chaos optimization has been a novel global optimization technique and has attracted considerable attention for application in various fields, such as nonlinear programming problems. In this article, a novel neural network nonlinear predic-tive control （NNPC） strategy baseed on the new Tent-map chaos optimization algorithm （TCOA） is presented. Thefeedforward neural network＇is used as the multi-step predictive model. In addition, the TCOA is applied to perform the nonlinear rolling optimization to enhance the convergence and accuracy in the NNPC. Simulation on a labora-tory-scale liquid-level system is given to illustrate the effectiveness of the proposed method.

Packaging design under Traditional Cultural Perspective --cultural wedding gifts in China

Chinese traditional culture is a valuable asset, and we must continue to inherit and carry forward the fine traditional culture of the Chinese nation. This paper discusses the impact of packaging design in aspects of colors, graphics, materials, one by one. Color is the most direct visual language, giving a deep impression. The use of traditional patterns can reflect the national spirit and national culture. People can also generate intimacy, affecting the consumer＇ s desire to purchase. The national characteristic of the goods has a strong aesthetic characteristic, can reflect national pride. Traditional culture input a lot of fresh blood into China＇ s packaging design, with the combination of modem packaging. China＇ s Marriage is formed in a long historical and cultural heritage of the Chinese nation; its source can be traced back several hundred thousand years ago. But the wedding industry rises in recent decades, with the rapid social development of new era, commercial activities have become increasingly frequent, wedding gift packaging design requirements have been increased from the basic material needs to spiritual needs. I think if the wedding gift wrapping design wants to be competitive on the market; it needs to create a new personal design philosophy.

What Is Going on in the Minds of Translators？ A Review of Studies on Translation Process

Border areas have provided significant new research questions as well as fruitful insights and hypotheses. The cognitive and neuropsychologic study of translation process is a good example of this kind. This paper has surveyed various researches on translation process. Studies related to ＂the black box of translation＂ are divided into two categories, i.e., studies adopting think-aloud protocols, and studies from the physiology and neuroscientific perspectives. It has been noted that those studies on translation process have made some progress in the past years Firstly, the participants have undergone a change from language learners to professional translators or interpreters Secondly, the purposes of the studies have a tendency of gradually becoming specific. Thirdly, more rigorous methodologies have been developed, with more and more new technological approaches being applied

Seeing permeability from images： fast prediction with convolutional neural networks

Fast prediction of permeability directly from images enabled by image recognition neural networks is a novel pore-scale modeling method that has a great potential. This article presents a framework that includes (1) generation of porous media samples,(2) computation of permeability via fluid dynamics simulations,(3) training of convolutional neural networks (CNN) with simulated data, and (4) validations against simulations. Comparison of machine learning results and the ground truths suggests excellent predictive performance across a wide range of porosities and pore geometries, especially for those with dilated pores. Owning to such heterogeneity, the permeability cannot be estimated using the conventional Kozeny–Carman approach. Computational time was reduced by several orders of magnitude compared to fluid dynamic simulations. We found that, by including physical parameters that are known to affect permeability into the neural network, the physics-informed CNN generated better results than regular CNN. However, improvements vary with implemented heterogeneity.