Several previous studies have reported atypicality in resting-state functional connectivity in autism spectrum disorder, yet the relatively small effect sizes prevent us from using these characteristics for diagnostic purposes. Here, canonical correlation analysis and hierarchical clustering were used to partition the high-functioning ASD group into subgroups. A support vector machine model was trained through the 10-fold strategy to predict Autism Diagnostic Observation Schedule scores within the ASD discovery group, which was further validated in an independent sample. The neuroimage-based partition derived (...) two subgroups representing severe versus mild autistic patients. We identified FCs that show graded changes in strength from ASD-severe, through ASD-mild, to controls, while the same pattern cannot be observed in partitions based on ADOS score. We also identified FCs that are specific for ASD-mild, similar to a partition based on ADOS score. The current study provided multiple pieces of evidence with replication to show that resting-state functional magnetic resonance imaging FCs could serve as neural biomarkers in partitioning high-functioning autistic individuals based on their symptom severity and showing advantages over traditional partition based on ADOS score. Our results also indicate a compensatory role for a frontocortical network in patients with mild ASD, indicating potential targets for future clinical treatments. (shrink)

Through the analysis of facial feature extraction technology, this paper designs a lightweight convolutional neural network. The LW-CNN model adopts a separable convolution structure, which can propose more accurate features with fewer parameters and can extract 3D feature points of a human face. In order to enhance the accuracy of feature extraction, a face detection method based on the inverted triangle structure is used to detect the face frame of the images in the training set before the model extracts the (...) features. Aiming at the problem that the feature extraction algorithm based on the difference criterion cannot effectively extract the discriminative information, the Generalized Multiple Maximum Dispersion Difference Criterion and the corresponding feature extraction algorithm are proposed. The algorithm uses the difference criterion instead of the entropy criterion to avoid the “small sample” problem, and the use of QR decomposition can extract more effective discriminative features for facial recognition, while also reducing the computational complexity of feature extraction. Compared with traditional feature extraction methods, GMMSD avoids the problem of “small samples” and does not require preprocessing steps on the samples; it uses QR decomposition to extract features from the original samples and retains the distribution characteristics of the original samples. According to different change matrices, GMMSD can evolve into different feature extraction algorithms, which shows the generalized characteristics of GMMSD. Experiments show that GMMSD can effectively extract facial identification features and improve the accuracy of facial recognition. (shrink)

Ruyu HungNational Chiayi University, TaiwanThis is a collective writing experiment of PESA members, orchestrating the Philosophy of Education in a New Key regarding East Asia. In 2016 the pioneerin...

With the rapid development of information age, various social groups and corresponding institutions are producing a large amount of information data every day. For such huge data storage and identification, in order to manage such data more efficiently and reasonably, traditional semantic similarity algorithm emerges. However, the accuracy of the traditional semantic similarity algorithm is relatively low, and the convergence of corresponding algorithm is poor. Based on this problem, this paper starts with the conceptual structure of language, analyzes the depth (...) of language structure and the distance between nodes, and analyzes the two levels as the starting point. For the information of a specific data resource description frame type, the weight of interconnected edges is used for impact analysis so as to realize the semantic similarity impact analysis of all information data. Based on the above improvements, this paper also systematically establishes the data information modeling process based on language conceptual structure and establishes the corresponding model. In the experimental part, the improved algorithm is simulated and analyzed. The simulation results show that compared with the traditional algorithm, the algorithm has obvious accuracy improvement. (shrink)

Previously published studies have reported that 150 min of short-term monocular deprivation temporarily changes perceptual eye dominance. However, the possible mechanisms underlying monocular deprivation-induced perceptual eye dominance plasticity remain unclear. Using a binocular phase and contrast co-measurement task and a multi-pathway contrast-gain control model, we studied the effect of 150 min of monocular pattern deprivation in normal adult subjects. The perceived phase and contrast varied significantly with the interocular contrast ratio, and after MPD, the patched eye became dominant. Most importantly, (...) we focused on the potential mechanisms of the deprivation effect. The data of an averaged subject was best fitted by a model, which assumed a monocular signal enhancement of the PE after the MPD. The present findings might have important implications for investigations of binocular vision in both normal and amblyopic populations. (shrink)

_Tsai Ming-liang_ Jean-Pierre Rehm, Olivier Joyard and Daniele Riviere Paris: Dis Voir, 1999 ISBN: 2-906571-90-3 127 pps.

Jean-Pierre Abel-Rémusat (1788-1832), the distinguished holder of the first chair of Chinese studies in France – as well as Europe – was a contemporary of the no less distinguished German philosopher Georg Wilhelm Friedrich Hegel (1770-1831). The advent of sinology, i.e. the new academic discipline represented by Abel-Rémusat, is an interesting fact if placed in the context of the professionalization of philosophy so eminently embodied by Hegel. In this perspective, the relations between these two great minds are even more eloquent (...) with respect to the place given to China in the intellectual geography of 19th century Europe. (shrink)

Corruption involves greed, money, and risky decision-making. We explore the love of money, pay satisfaction, probability of risk, and dishonesty across cultures. Avaricious monetary aspiration breeds unethicality. Prospect theory frames decisions in the gains-losses domain and high-low probability. Pay dissatisfaction (in the losses domain) incites dishonesty in the name of justice at the individual level. The Corruption Perceptions Index, CPI, signals a high-low probability of getting caught for dishonesty at the country level. We theorize that decision-makers adopt avaricious love-of-money aspiration (...) as a lens and frame dishonesty in the gains-losses domain (pay satisfaction-dissatisfaction, Level 1) and high-low probability (CPI, Level 2) to maximize expected utility and ultimate serenity. We challenge the myth: Pay satisfaction mitigates dishonesty across nations consistently. Based on 6500 managers in 32 countries, our cross-level three-dimensional visualization offers the following discoveries. Under high aspiration conditions, pay dissatisfaction excites the highest- (third-highest) avaricious justice-seeking dishonesty in high (medium) CPI nations, supporting the certainty effect. However, pay satisfaction provokes the second-highest avaricious opportunity-seizing dishonesty in low CPI entities, sustaining the possibility effect—maximizing expected utility. Under low aspiration conditions, high pay satisfaction consistently leads to low dishonesty, demonstrating risk aversion—achieving ultimate serenity. We expand prospect theory from a micro and individual-level theory to a cross-level theory of monetary wisdom across 32 nations. We enhance the S-shaped Curve to three 3-D corruption surfaces across three levels of the global economic pyramid, providing novel insights into behavioral economics, business ethics, the environment, and responsibility. (shrink)

张奎良(1937~ ),辽宁新民人,中国马克思主义学会常务理事,东北地区马哲史学会会长,黑龙江大学哲学系教授等职.

清代學術以開出考據學新高度及總結傳統舊學之姿，高峰屹立於我國學術史；然而對其思想發展，學界卻普遍持負面看法，如梁啟超、錢穆。或落在理學視野、或未能正視清代思想之獨立發展特色，更遑論肯定其創新思想理論的 價值。 本書作者專研清代學術思想多年，對於清代學術持同情的理解，持信存在的合理性，肯定其思想價值，並深刻體認學術必須深蓄厚養，誠如荀子言「不積跬步，無以致千里。」該著約一百萬字，包括上、下冊三篇和附錄，分為二 十六章。 第一篇 思想紛呈的清初學界 第二篇 共創乾嘉學術高峰的吳、皖、揚、浙學 第三篇 中葉以降從論學到議政的今文學流行與異調 【附錄】臺灣地區近五十年來哲學學門之「清代哲學」重要研究成果 該書之出版，得以一饗對清學有興趣的學者及社會大眾，也為清代學術思想流變作記，期使文化學術能夠更源遠流長。.

本书通过对群星璀璨的犹太精英成功智慧的深刻剖析, 揭示了犹太人独特的价值观和伟大的理想, 让人在先进的理念和最优的实践中感受到犹太精英教育成功的奥秘.

本书共分六章, 内容包括: 宋代官学发展的变化和需求; 程朱理学的官学教育活动; 理学式书院对南宋官学的扩充和借鉴; 理学教育理念和教材对官学教育的影响; 理学教育的多途径传播等.

本书以物理学发展史为线索,介绍物理定律产生的背景,物理定律形成的实验基础,及物理学家的研究活动和思维方法。.

本书从美学角度对物理学所呈现的简单、对称、和谐之美作一历史性的介绍,并对物理学家的思维方式和发现模式作了具体的分析。.

从信息科学的角度阐述文化起源和图腾、宗教、理性三种文化形态与人类获取生存资料的思维、语言与劳动三种技术形式相对应,及进入信息时代后出现的文化特征。.