Ancient Chinese thought inquired primarily into how the achievement of things is possible rather than into what a thing as a thing is. It held that man should participate in the achieving or generation of things in order to realize his self-achievement. A thing is understood as an event. Because all things and man are united as one, it is possible for man to enter into things by tasting and feeling rather than by relying on the sense of sight. This (...) may provide a possible new means of rescuing things from the numericalization and phenomenalization that sweep over the world today. (shrink)

Ancient Chinese thought inquired primarily into how the achievement of things is possible rather than into what a thing as a thing is. It held that man should participate in the achieving or generation of things in order to realize his self-achievement. A thing is understood as an event. Because all things and man are united as one, it is possible for man to enter into things by tasting and feeling rather than by relying on the sense of sight. This (...) may provide a possible new means of rescuing things from the numericalization and phenomenalization that sweep over the world today. /// 在中国传统思想世界中，对物首要的态度不是追问 "物之为物" 而是关注如 何 "成物"; 强调以自身参与到物的生成中去，成己以成物，遂使物成为 "事" 使 万物一体; 强调以 "味"、"感" 的方式进入物之中，发展出不同于 "看" 的通达事 物之方法论。进入事物之中而使事物退隐的可能性降低，为克服今日世界的数字化、 表象化提供了一种 "新" 的可能性。. (shrink)

The interference of the complex background and less information of the small targets are two major problems in vehicle attribute recognition. In this paper, two cascaded networks of vehicle attribute recognition are established to solve the two problems. For vehicle targets with normal size, the multitask cascaded convolution neural network MC-CNN-NT uses the improved Faster R-CNN as the location subnetwork. The vehicle targets in the complex background are extracted by the location subnetwork to the classification subnetwork CNN for the classification. (...) The implementation of this task decomposition strategy effectively eliminates the interference of the complex background in target detection. For vehicle targets with small size, the multitask cascaded convolution neural network MC-CNN-ST applies the network compression strategy and the multilayer feature fusion strategy to extract the feature maps. These strategies enrich the location information and semantic information of the feature maps. In order to optimize the nonlinear mapping ability and the hard-to-detect samples mining ability of the networks, the activation function and the loss function in the two cascaded networks are improved. The experimental results show that MC-CNN-NT for the normal targets and MC-CNN-ST for the small targets achieve the state-of-the-art performance compared with other attribute recognition networks. (shrink)

ObjectivesSeveral studies have examined the effects of repetitive transcranial magnetic stimulation (rTMS) on associative memory (AM) but findings were inconsistent. Here, we aimed to test whether twice-daily rTMS could significantly improve AM.MethodsIn this single-blind, sham-controlled experiment, 40 participants were randomized to receive twice-daily sham or real rTMS sessions for five consecutive days (a total of 16,000 pulses). The stimulation target in left inferior parietal lobule (IPL) exhibiting peak functional connectivity to the left hippocampus was individually defined for each participant. Participants (...) completed both a picture-cued word association task and Stroop test at baseline and 1 day after the final real or sham rTMS session. Effects of twice-daily rTMS on AM and Stroop test performance were compared using two-way repeated measures analysis of variance with main factors Group (real vs. sham) and Time (baseline vs. post-rTMS).ResultsThere was a significant Group × Time interaction effect. AM score was significantly enhanced in the twice-daily real group after rTMS, but this difference could not survive the post hoc analysis after multiple comparison correction. Further, AM improvement in the twice-daily real group was not superior to a previously reported once-daily rTMS group receiving 8,000 pulses. Then, we combined the twice- and once-daily real groups, and found a significant Group × Time interaction effect. Post hoc analysis indicated that the AM score was significantly enhanced in the real group after multiple comparisons correction.ConclusionOur prospective experiment did not show significant rTMS effect on AM, but this effect may become significant if more participants could be recruited as revealed by our retrospective analysis. (shrink)

Good knowledge management is important for enterprises to maintain competitive advantage; however, the knowledge hiding behavior may hinder this process. Based on the conservation of resources and psychological ownership theories, using a chain intermediary model, this study investigates the effect of justice sensitivity on knowledge hiding through perceived time pressure and territoriality, and further tests the moderating role of territoriality. For the study, we collected 436 questionnaires from China through the Wenjuanxing Sample Service, of which 391 were valid. We then (...) conducted multiple regression analysis and employed the bootstrap method for our tests. The results show that victim sensitivity has a significant effect on perceived time pressure, territoriality, and knowledge hiding, and that a chain mediating effect of perceived time pressure and territoriality is established between justice sensitivity and knowledge hiding. Further, territoriality has a positive moderating effect on perceived time pressure and knowledge hiding, while the mediating effect of perceived time pressure on justice sensitivity and knowledge hiding is also moderated by territoriality. Further, the study offers important practical implications in that enterprises should not blindly pursue results by making employees work excessively overtime. And there should have rationalized regulations in organization to ensure justice. The management should pay close attention to the psychological problems of victim and perpetrator. Instead, enterprises should have a certain degree of control, offer rationales for overtime work, and give high wages to the employees to compensate for their time, thus making the employees feel the worthiness of their overtime work and reducing the probability of engaging in knowledge hiding behaviors. (shrink)

ObjectiveTwo subregions of the dorsolateral prefrontal cortex have been identified as effective repetitive transcranial magnetic stimulation targets for the “anxiosomatic” and “dysphoric” symptoms, respectively. We aimed to develop a convenient approach to locate these targets on the scalp.Materials and methodsIn a discovery experiment, the two personalized targets were precisely identified on 24 subjects using a neuronavigation system. Then, a localized approach was developed based on individual scalp landmarks. This “landmark-based approach” was replicated and validated in an independent cohort. Reliability of (...) the approach was tested by calculating the correlation of both the inter-rater and intra-rater results. Validity was tested by comparing the mean distance between the personalized and landmark-based targets to the TMS spatial resolution. We further conducted a total of 24 sham rTMS sessions to estimate the misplacement between the coil center and target during a 10-min stimulation without neuronavigation.ResultsThe parameters of the “landmark-based approach” in the discovery experiment were replicated well in an independent cohort. Using discovery parameters, we successfully identified the symptom-specific targets in the independent cohort. Specifically, the mean distance between the personalized and landmark-based targets on the cortex was not significantly larger than 5 mm. However, the personalized and landmark-based targets distance exceeded 5 mm in more than 50% of subjects. During the 10-min sham rTMS session, the average coil misplacement was significantly larger than 5 mm.ConclusionThe “landmark-based approach” can conveniently and reliably locate the two symptom-specific targets at group level. However, the accuracy was highly varied at individual level and further improvement is needed. (shrink)

The sizes of individual data files have steadily increased along with rising demand for customized services, leading to issues such as low efficiency of web-based geographical information system -based data compression, transmission, and rendering for rich Internet applications in complicated visualization systems. In this article, a WebGIS-based technical solution for the efficient transmission and visualization of meteorological big data is proposed. Based on open-source technology such as HTML5 and Mapbox GL, the proposed scheme considers distributed data compression and transmission on (...) the server side as well as distributed requests and page rendering on the browser side. A high-low 8-bit compression method is developed for compressing a 100 megabyte file into a megabyte-scale file, with a compression ratio of approximately 90%, and the recovered data are accurate to two decimal places. Another part of the scheme combines pyramid tile cutting, concurrent domain name request processing, and texture rendering. Experimental results indicate that with this scheme, grid files of up to 100 MB can be transferred and displayed in milliseconds, and multiterminal service applications can be supported by building a grid data visualization mode for big data and technology centers, which may serve as a reference for other industries. (shrink)

di 1 juan. Lun yu bie cai -- di 2 juan. Laozi ta shuo, Mengzi pang tong -- di 3 juan. Yi jing za shuo, Yi jing xi zhuan bie jiang -- di 4 juan. Chan zong yu dao jia, Dao jia, Mi zong yu dong fang shen mi xue, Jing zuo xiu dao yu chang sheng bu lao -- di 5 juan. Chan hai li ce, Chan hua, Zhongguo fo jiao fa zhan shi lüe, Zhongguo dao jiao fa zhan (...) shi lüe -- di 6 juan. Li shi de jing yan, Yi xin yi jiu de yi dai, Zhongguo wen hua fan yan -- di 7 juan. Ru he xiu zheng fo fa, Yao shi jing de ji shi guan, Xue fo zhe de ji ben xin nian -- di 8 juan. Jin gang jing shuo shen mo, Leng yan da yi jin shi -- di 9 juan. Yuan jue jing lüe shuo, Ding hui chu xiu, Leng qie da yi jin shi -- di 10 juan. Yuan ben da xue wei yan. (shrink)

Ben shu jie shao le gong zi zhen, wei yuan, yan fu, kang you wei, tan si tong, liang qi chao, chen tian hua, zhang bing lin deng wan qing si xiang jia de zhe xue si xiang.

Ben shu jie shao le gong zi zhen, wei yuan, yan fu, kang you wei, tan si tong, liang qi chao, chen tian hua, zhang bing lin deng wan qing si xiang jia de zhe xue si xiang.

在当代中国, 探讨文化复兴问题不仅具有重要的学术价值, 而且具有重大的现实意义.本书是一本直接以文化复兴为研究对象的专著, 分为上下两篇.上篇是理论篇, 严格地探究了文化复兴的生存论基础, 即历史文化对生活的建构功能; 下篇是应用篇.

本書是第一部專門從政治學及社會學角度,討論儒家思想在當代中國政治發展中的地位與作用的學術專著,具有堅實的政治學及社會學理論支撐和學理基礎,以及明晰而嚴格的學科性分析等特點,填補了政治學界在儒家及其"復 興"與大陸政治之關係這一課題上缺乏系統而專業性研究的空白.

本书共十一章,内容包括西方法律文化总述,西方法学文化,西方司法文化,西方法院文化,西方律师文化,中国法律文化总述,中国法学文化等.

本书以文化元典、历史嬗变、思维原型、集体无意识为切入点,对后轴心时代的中国社会及其文化的进一步探究,可与作者的另一部著作《语言的密码——轴心时代的中国思想探源》参照阅读。.

本书以海外华人以及海外华人社会为主要研究对象,总结和提炼海外华人社会适用中国传统法律的方式方法与特征,考察中国传统法律文化对于华人日常生活所起的作用.对海外华人与中国传统法律文化保存与传播的互动作用进 行解析.以中国传统法律在东南亚诸国之影响为主线,借重国际关系史,汉学以及文化交流史等方面的史料和现有的研究成果,以法律史的角度重新解读, 深化中国传统法律文化域外影响,尤其是对'中华法系'以外国家的影响研究.

本书分为文化精神,多元文化,公共政治,意识形态等部分,收录了人:宇宙的"本质镜"中国文化精神及其现代化文本解读:从"愚公移山"到"吴刚伐桂"等文章.