The appearance of mass media and a versatile medium of videos can serve the convenience and instructive information for children; on the other hand, it could abet them in implicit image consumption. Now is the time for kids' to be in need of thinking power which enables them to make a choice, applications andcriticism of information within such visual cultures. In spite of these social changes, the realities are that our curriculum still doesn't meet a learner's demand properly. This research, (...) in this context, is aimed at looking out on the currently implemented art appreciation learning process in a critical fashion, and also aimed at suggesting a plan for visual culture learning by applying the philosophy program for kids as a new alternative. The purpose of such education is toenhance the capability to solve a variety of problems they are facing in the course of daily life by reflecting their matter of concern in a curriculum. What we have to pay attention to in visual culture learning is 'visual literacy.' Such an interpretative faculty of a critical reading of images is a must especially when kids should make a judgment of value hidden in images in their daily events, make an analysis of an ideological message and make an information-oriented decision. Therefore, learners have to enrich their higher-order thinking power as well as critical thinking faculty in modern society. If there is no objection to these social surroundings, it is quite natural that philosophy education, which forms a base of a higher-order thinking for children should be handled significantly at school. (shrink)

Neural network models have recently made significant achievements in solving vehicle scheduling problems. Adaptive ant colony algorithm provides a new idea for neural networks to solve complex system problems of multiconstrained network intensive vehicle routing models. The pheromone in the path is changed by adjusting the volatile factors in the operation process adaptively. It effectively overcomes the tendency of the traditional ant colony algorithm to fall easily into the local optimal solution and slow convergence speed to search for the global (...) optimal solution. The multiconstrained network intensive vehicle routing algorithm based on adaptive ant colony algorithm in this paper refers to the interaction between groups. Adaptive transfer and pheromone update strategies are introduced based on the traditional ant colony algorithm to optimize the selection, update, and coordination mechanisms of the algorithm further. Thus, the search task of the objective function for a feasible solution is completed by the search ants. Through the division and collaboration of different kinds of ants, pheromone adaptive strategy is combined with polymorphic ant colony algorithm. It can effectively overcome some disadvantages, such as premature stagnation, and has a theoretical significance to the study of large-scale multiconstrained vehicle routing problems in complex traffic network systems. (shrink)

Medical devices have been long used for odiagnostic, therapeutic or rehabilitation purposes. Currently, they can range from a low-cost portable device that is often used for personal health monitoring to high-end sophisticated equipment that can only be operated by trained professionals. Depending on the functional purposes, there are different certification or compliance markings on the device when it is sold. One common certification marking is the Conformité Européenne affixation but this has a range of certification mark numbering for a variety (...) of functional purposes. While the regulators and medical device manufacturers understand the associated significance and clinical implications, these may not be apparent to the professionals and the general public. With portable healthcare devices and mobile applications gaining popularity, better awareness of certification marking will be needed. Particularly, there are differences in the allowed functional purposes and the associated cost derivations of devices with a seemingly similar nature. A preferred approach such as an easy-to-understand notation next to any certification marking on a device can aid in differentiation without the need to digest mountainous regulatory details. (shrink)

Aiming to realize rapid and efficient three-dimensional identification of substation equipment, this article proposes a new method in which the 3D identification of substation equipment is based on K-nearest neighbor classification of subspace feature vector. First of all, the article uses octree encoding to reduce and denoise the point cloud data obtained by a 3D laser scanner. Secondly, position calibration and size standardization are used for the point cloud after pretreatment. Then, the normalized point cloud is divided into a number (...) of cubes with same size. The cosine of the angle between the positive direction of z axis and a vector from the global centroid of the point cloud to the centroid of each subspace is regarded as the feature of the subspace. All cosines of subspaces constitute the feature of the point cloud. Finally, we classify the subspace feature vector by using the KNN algorithm and improve classification accuracy by using the particle swarm optimization algorithm. The simulation results show that the identification accuracy of the proposed method for unknown substation equipment is about 90% and the proposed method is applicable to low-degree losses. Apparently, this method can accurately identify 3D substation equipment. At the same time, increasing the number of subspaces will improve the accuracy; however, it will increase the recognition time. (shrink)

Introduction: Few studies are available on the prevalence and sleep-related factors of dementia with Lewy bodies (DLB) in Chinese older adults, aiming to explore the associations between sleep characteristics and DLB.Methods: A cross-sectional study with 7,528 individuals aged ≥65 years in 106 communities in Northern China was conducted from April 2019 to January 2020. Questionaries (including demographic characteristics, comorbidities, lifestyles, and sleep characteristics) were administered, and neuropsychological assessments and physical examination were conducted in phase I; screening for probable DLB was (...) done in phase II. Logistic regressions were used to assess associations.Results: A total of 919 (12.2%, 919/7,528) participants had dementia, and 101 (1.3%, 101/7,528) participants were diagnosed with DLB. The prevalence of dementia and DLB were slightly higher or equal in women, increased with age, and roughly decreased with nighttime sleep duration. Of the 101 participants, all of them (100.0%) had cognitive impairment, 46 (44.54%) displayed fluctuating cognition, 72 (71.29%) of them showed visual hallucination, 22 (21.78%) individuals reported RBD, and 27.71% showed Parkinsonism. Sleeping for 8 h had combined diagnostic value for DLB (AUC = 0.783, 95%CI: 0.734–0.831, p < 0.001).Conclusions: The current prevalence of DLB is 1.3% in Northern China. Short or long nighttime sleep duration is independently associated with the occurrence of dementia and DLB. (shrink)

Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic congestion and vice versa. The occurrence of traffic accidents usually leads to the reduction of road traffic capacity and the formation of traffic bottlenecks, causing the traffic congestion. In this paper, the formation and propagation of traffic congestion are simulated by using the improved medium (...) traffic model, and the control strategy of congestion dissipation is studied. From the point of view of quantitative traffic congestion, the paper provides the fact that the simulation platform of urban traffic integration is constructed, and a feasible data analysis, learning, and parameter calibration method based on RBF neural network is proposed, which is used to determine the corresponding decision support system. The simulation results prove that the control strategy proposed in this paper is effective and feasible. According to the temporal and spatial evolution of the paper, we can see that the network has been improved on the whole. (shrink)

Eye-tracking technology has become a powerful tool for biomedical-related applications due to its simplicity of operation and low requirements on patient language skills. This study aims to use the machine-learning models and deep-learning networks to identify key features of eye movements in Alzheimer's Disease (AD) under specific visual tasks, thereby facilitating computer-aided diagnosis of AD. Firstly, a three-dimensional (3D) visuospatial memory task is designed to provide participants with visual stimuli while their eye-movement data are recorded and used to build an (...) eye-tracking dataset. Then, we propose a novel deep-learning-based model for identifying patients with Alzheimer's Disease (PwAD) and healthy controls (HCs) based on the collected eye-movement data. The proposed model utilizes a nested autoencoder network to extract the eye-movement features from the generated fixation heatmaps and a weight adaptive network layer for the feature fusion, which can preserve as much useful information as possible for the final binary classification. To fully verify the performance of the proposed model, we also design two types of models based on traditional machine-learning and typical deep-learning for comparison. Furthermore, we have also done ablation experiments to verify the effectiveness of each module of the proposed network. Finally, these models are evaluated by four-fold cross-validation on the built eye-tracking dataset. The proposed model shows 85% average accuracy in AD recognition, outperforming machine-learning methods and other typical deep-learning networks. (shrink)

Di 1 ce. Cang shan ji, zi cang ji shi, "Xin zi xue" gou xiang -- di 2 ce. Zhi yan lu -- di 3 ce. Shang lin ji -- di 4 ce. Cun ya tang yi gao jiao bu -- di 5 ce. Nan Song yi min shi ren qun ti yan jiu, Zhuangzi shi ri tan -- di 6 ce. Zhuangzi shu mu ti yao -- di 7 ce. Zhuangzi xue shi (yi) -- di 8 ce. Zhuangzi xue (...) shi (er) -- di 9 ce. Zhuangzi xue shi (san) -- di 10 ce. Zhuangzi xue shi (si) -- di 11 ce. Zhuangzi xue shi (wu) -- di 12 ce. Zhuangzi xue shi (lu) -- di 13 ce. Zhuang xue shi lüe -- di 14 ce. Zhuangzi quan ping (shang) -- di 15 ce. Zhuangzi quan ping (xia) -- di 16 ce. Zhuangzi zuan yao (yi) -- di 17 ce. Zhuangzi zuan yao (er) -- di 18 ce. Zhuangzi zuan yao (san) -- di 19 ce. Zhuangzi zuan yao (si) -- di 20 ce. Zhuangzi zuan yao (wu) -- di 21 ce. Zhuangzi zuan yao (lu) -- di 22 ce. Zhuangzi zuan yao (qi) -- di 23 ce. Zhuangzi zuan yao (ba) -- di 24 ce. Zhuangzi zuan yao (jiu) -- di 25 ce. Zhuangzi jin gu (shang) -- di 26 ce. Zhuangzi jin gu (xia) -- di 27 ce. Mengzi jin gu -- di 28 ce. Mozi jin gu -- di 29 ce. -- Xunzi jin gu -- di 30 ce. Zhou Han wen chao -- di 31 ce. Shu jing lüe ying. (shrink)

Ben shu yi Ming ru Li Cai de jiang xue huo dong yu xue pai jian gou wei zhong xin, tan tao cong shi liu shi ji chu dao shi qi shi ji mo li xue qun ti zhong xin xing xue shuo he xue pai de chan sheng, chuan bo, kuo zhan yu chuan cheng de mo shi, bing zhuo zhong cong si xiang shi de jiao du jie shi zhe zhong mo shi chan sheng he yun xing de (...) si xiang gen yuan yu nei zai dong li. Quan shu zheng wen gong qi zhang, zhu yao nei rong fen wei shang xia liang bian, shang bian yi hong guan zong lun de fang shi, cong li xue jing dian "Da xue" de wen ben bian dong he quan shi jing zheng qie ru, tan tao zhong wan Ming li xue xue shuo he xue pai jian gou de li lun gen ju; xia bian yi Li Cai de "zhi xiu" xue shuo ji qi jiang xue huo dong zuo wei ge an yan jiu, tan tao li xue xue shuo he xue pai de chuan bo ji chuan cheng de she hui hua tu jing. (shrink)

本书讲述了逻辑基础知识和有关逻辑知识在法学领域的应用。内容包括概念的一般逻辑知识及其应用、命题的一般特征、性质命题、复合命题、规范命题、推理的概述等等.

本书收录自隋唐至清代有关思想史的重要文献,共分十三章,每章中又分若干小节,每节均由四部分组成;首先是“编者按语”,对每一小节涉及的思想史内容提纲挈领作一简要介绍。其次是精选若干“关键文献”,作为了解这 一思想史内容的重点资料,并对其作详细的注释,除解释大意外,还附带提供一些有关材料。再次是为了进一步扩大史料阅读面而安排的“参考文献”,选择摘录若干原始资料,供读者深入了解历史.

本书从原则指导、规律制度、方法艺术、心理疏导和提高素质等五个方面,比较系统、完整而又深刻细致地分析了部队基层经常性思想工作。.

本书共分为七章,内容包括:马克思恩格斯对人权的赞颂,马克思恩格斯对人权的祛魅,马克思恩格斯对人权的扬弃,马克思主义人权理论当代建构的方法论及体系构成,社会主义市场经济与人权,社会主义民主政治与人权,社 会主义社会建设与人权.

本书以改革的精神,在坚持唯物辩证法基本原理的基础上,对唯物辩证法的叙述有新的突破,还分设专题剖析了40多个现实问题。.

本书对当前我国企业信用系统的种种危机作了由浅入深的报道,首先介绍了黑心商家诚信丧失、引发食品信任危机,接着介绍了黑洞事件触目惊心,中国股市诚信难寻等内容。.

本书受教育部2004年哲学社会科学研究重大课题攻关项目“当代科学哲学的发展趋势研究”(04JZD0004)、国家社会科学基金项目“测量难题的模态解释——量子力学前沿中的哲学问题”(05CZX008)和 教育部人文社会科学重点研究基地——山西大学科学技术哲学研究中心基金资助.

中國「最可能接近哲學家」稱號的大師， 前北大哲學系教授、當代中文世界重量級哲學作家——陳嘉映 寫給大眾的經典名著全新改版再現！ 用淵博而不瑣碎的知識、以淺白但不泛泛而談的敘述，帶領我們穿越到古希臘，一路悠遊至哥白尼、牛頓、愛因斯坦，一覽引領人類認識世界的兩大脈絡──哲學與科學的發展簡史。 人類解釋世界的努力，前有神話、巫術，後有哲學、科學。排除了千難萬險，才抵達日心說、牛頓力學、進化論、量子物理，直至今日，科學已儼然成為「真理」的代言者。 科學為什麼會取得這樣的成功？人們經驗著同樣的世界，為什麼歷史上只從歐洲產生了科學？最大的關鍵，在於希臘哲學的出現，以哲學為母體，科學逐漸茁壯，直至今日，我們對世界的認識，已由科學所主導。另一方面，我們 也為科學之成功付出了代價：用科學來逼近「真理」，卻將人的心靈排除出真理的領域之外。用數學和實驗思維樹立的科學大廈，沒有人之善惡、悲喜的位置——科學果真是這個世界的全部答案嗎？科學之外，還另有求道之途？ 一場站在人類認知發展歷史上的回望 一部明白現代哲學／科學大路線的簡要速讀 當代，我們毫不懷疑科學能逼近「真理」，卻也將人的心靈排除出真理的畫面之外。 當我們已能用數學推理感官不及之處，卻仍習慣靠經驗感受世界──這本書將帶你超越常識的表淺思維，瞭解世界觀背後的人文與科學之爭。 要談論科學的真理性及其限度，最好從科學的源頭——哲學談起。這本書既不是個開端，更不是個結論。而是試圖從反思哲學自身的歷史，獲得更清醒的自我認識，獲取新鮮的生命形態。 要理解當代的科學思想興起，與哲學處於當代的意義，本書是一部簡鍊的人類思想故事，也如同作者陳嘉映的自述：天下的道理，差不多早被前人講過，他自己則是嘗試用大眾讀者比較易懂的方式，把道理重新講述。.