We present a research on smart city planning and community governance using dynamic game methods, analyze the current status and problems of the current smart community service system, and put forward countermeasures and suggestions based on the global smart community development experience. Through smart city planning and construction, the game model of government governance and information sharing between communities and decision making is obtained, and the two-dimensional replication dynamic system equations of smart city planning and construction agencies and communities are (...) obtained from smart city planning and construction. The evolutionary stability strategy and a united front are analyzed. The strategy achieves the ideal stable conditions. We define the relevant definition of a smart community and discuss the purpose and significance of the research, especially the importance and necessity of the construction of the smart community. Based on the current situation of the construction of smart communities, we conduct specific research, discuss the deficiencies and shortcomings in the current construction of smart communities, and find out the causes of these problems. Finally, based on learning from the relevant work experience, corresponding improvement measures are proposed for the existing problems from the united front, top-level design, social participation, platform construction, and talent training. (shrink)

The book On Contemporary Chinese Legal System written by Xiaobo Dong and Yafang Zhang takes the socialist legal system with Chinese characteristics as its central research subject. Through meticulo...

Recurrent neural network has been widely applied to many sequential tagging tasks such as natural language process and time series analysis, and it has been proved that RNN works well in those areas. In this paper, we propose using RNN with long short-term memory units for server load and performance prediction. Classical methods for performance prediction focus on building relation between performance and time domain, which makes a lot of unrealistic hypotheses. Our model is built based on events, which is (...) the root cause of server performance. We predict the performance of the servers using RNN-LSTM by analyzing the log of servers in data center which contains user’s access sequence. Previous work for workload prediction could not generate detailed simulated workload, which is useful in testing the working condition of servers. Our method provides a new way to reproduce user request sequence to solve this problem by using RNN-LSTM. Experiment result shows that our models get a good performance in generating load and predicting performance on the data set which has been logged in online service. We did experiments with nginx web server and mysql database server, and our methods can been easily applied to other servers in data center. (shrink)

With the development of mobile communication technology, location-based services are booming prosperously. Meanwhile privacy protection has become the main obstacle for the further development of LBS. The k-nearest neighbor search is one of the most common types of LBS. In this paper, we propose an efficient private circular query protocol with high accuracy rate and low computation and communication cost. We adopt the Moore curve to convert two-dimensional spatial data into one-dimensional sequence and encrypt the points of interest information with (...) the Brakerski-Gentry-Vaikuntanathan homomorphic encryption scheme for privacy-preserving. The proposed scheme performs the secret circular shift of the encrypted POIs information to hide the location of the user without a trusted third party. To reduce the computation and communication cost, we dynamically divide the table of the POIs information according to the value of k. Experiments show that the proposed scheme provides high accuracy query results while maintaining low computation and communication cost. (shrink)

The aim of our research is to demonstrate that intentionality as a major property of consciousness and as a basic state of mind plays an important role in all the activities in which the subject is related to the objective world. This paper is based on John Searle’s theory of intentionality. Both ideological cognition and practical activity are object oriented activities. However, the objects targeted by them and the ways they are associated with their subjects are different. The function of (...) intentionality of ideological cognition is mainly reflected on its directedness, whereas in practical activities—on its motivating and regulating capacities. (shrink)

Drawing on the theory of planned behavior, we investigate the legitimacy of platform governance and whether consumers with greater ranges of risk propensity are more likely to purchase innovative products. This study develops a moderated mediation model involving risk propensity, cognitive legitimacy, purchase intention and perceived benefit. To examine our hypotheses, we conducted a survey of 315 consumers from Shanghai, China. The results reveal that risk propensity is positively related to consumers’ purchase intentions, in which cognitive legitimacy plays a mediating (...) role. Furthermore, the interaction suggests that perceived benefit moderates the relationship between risk propensity and cognitive legitimacy. (shrink)

The generalized Brans–Dicke theory (GBD), as one of the modified gravitational theories, was proposed previously and some interesting properties were found in this theory. Here we investigate the traversable-wormhole physics for GBD theory. Firstly, we derive the gravitational field equation in the framework of GBD wormhole geometry. The traversable wormhole could be gained in this theory. Secondly, using the classical reconstruction technique we originally derive an Lagrangian function for describing gravity in GBD theory. And the derived Lagrangian function for gravity (...) could be satisfied with the requirement of the viable conditions, such as the local gravity tests and the cosmological constraints, etc. Thus, the viable model for cosmology, local gravity and traversable WH can be unified in a uniform Lagrangian quantity within the framework of GBD theory. Thirdly, given that the violation of the energy conditions (ECs) often induce some problems in theory, we explore the ECs of matter in the traversable wormhole. It is shown that the null EC, the weak EC and the dominated EC for the matter can be satisfied in the traversable-wormhole physics of GBD theory, which are different from the results given in GR. It seems that the theory of GBD owns the more logic technically and consistency formally than the theory of GR. Fourthly, some other properties of GBD traversable WH are explored, such as the total gravitational energy, the volume integral quantifier, the dynamical stability of the anisotropic matter, and the difference of the propagation of sound within the matter configuration. The results support the GBD to provide an interesting candidate for traversable WH. (shrink)

This paper investigates whether the impact of PCAOB Rule 3211 on the quality and cost of audit services differs between female and male audit partners. We find that the improvement of audit quality is more pronounced for female audit partners than male partners after Rule 3211 adoption. Female audit partners are also associated with higher increases in fees and report lags than male counterparts after the adoption of Rule 3211. Further, we find that the presence of female CFOs attenuate the (...) audit fees and report lag increases in the post-adoption periods. Overall, our findings confirm the importance of the gender effect on audit outcomes, which needs further consideration by standard setters. Our study also provides empirical evidence of the benefits of gender equality in the workplace. (shrink)

Service failure is almost inevitable with the intensifying competition in the service market and expectation of heterogeneous customers. The customer–firm relationship can significantly influence customers’ subsequent attitudes and behaviors to the service provider when they encounter service failure. This study proposes a theoretical model to examine how customer-perceived dependence affects their forgiveness toward a service failure in attribution logic. According to an experiment with 138 and a survey with 428 commercial bank customers, we used a multivariate approach to validate our (...) model. The results show that relationship-valued dependence leads to external attribution, which is positively related to customer forgiveness. In contrast, switching-cost dependence leads to internal attribution, which is negatively related to customer forgiveness. The relationship length is a relevant contextual factor that acts as a negative moderating factor. Our study contributes to the service recovery literature by elucidating the underlying process of forgiveness with the presence of the customer–firm dependence relationship. (shrink)

The wanton dissemination of network pseudohealth information has brought great harm to people’s health, life, and property. It is important to detect and identify network pseudohealth information. Based on this, this paper defines the concepts of pseudohealth information, data block, and data block integration, designs an architecture that combines the latent Dirichlet allocation algorithm and data block update integration, and proposes the combination algorithm model. In addition, crawler technology is used to crawl the pseudohealth information transmitted on the Sina Weibo (...) platform during the “epidemic situation” from February to March 2020 for the simulation test on the experimental case dataset. The research results show that the LDA model can deeply mine the semantic information of network pseudohealth information, obtain the features of document-topic distribution, and classify and train topic features as input variables; the dataset partitioning method can effectively block data according to the text attributes and class labels of network pseudohealth information and can accurately classify and integrate the block data through the data block reintegration method; and considering that the combination model has certain limitations on the detection of network pseudohealth information, the support vector machine model can extract the granularity content of data blocks in pseudohealth information in real time, thus greatly improving the recognition performance of the combination model. (shrink)

Objective: The aim of the current study was to investigate the alterations in the neural networks of patients with temporal lobe epilepsy during working memory encoding.Methods: Patients with TLE and healthy volunteers completed a WM task, during which 34-channel electroencephalogram signals were recorded. The neural networks during WM encoding were calculated in TLE patients with and without WM deficits.Results: Functional connectivity strength decreased, and the theta network was altered in the TLE-WM group, although no significant differences in clinical features were (...) observed between the TLE-N and TLE-WM groups.Conclusions: Not all patients with TLE present with cognitive impairments and alterations in the theta network were identified in TLE patients with functional cognitive deficits.Significance: The theta network may represent a sensitive measure of cognitive impairment and could predict cognitive outcomes among patients with TLE. (shrink)

In order to obtain continuous stratum information during TBM tunneling, using TBM tunneling parameters, stratum recognition is carried out through the K-nearest neighbor model, and the model is improved by the entropy weight method to improve the stratum recognition rate. By analyzing the correlation between TBM tunneling characteristic parameters and stratum, the tunneling characteristic parameter vector which is most sensitive to the stratum is obtained by sensitivity analysis, and the stratum recognition model based on the K-nearest neighbor algorithm is established. (...) Aiming at the problem that the model has a large error in complex formation recognition, a formation recognition model based on the entropy weight K-nearest neighbor algorithm is established, and the wrong data of the K-nearest neighbor model is recalculated. The recognition rate of the stratum in the new model is increased from 90.95% to 98.55%. The results show that the K-nearest neighbor model has a better recognition effect for the interval with single stratum distribution, and the recognition rate of entropy weight K-nearest neighbor model for complex stratum is significantly improved, which provides an effective method to obtain stratum information by using tunneling characteristic parameters. (shrink)

As the prevalence of self-harm among adolescents in Chinese escalates, finding out the potential risk factors associated with self-harm behaviors has aroused much attention. This study aims to explore the association between parent-child separation and series of self-harm subtypes among Chinese adolescents. We survey a total of 4,928 middle school students aged from 12 to 18 years at school. Parent-child separation was investigated from four dimensions—occurrence of parental separation, separation status, age at first separation and duration of separation. Self-harm series (...) are deemed as five subtypes—highly lethal self-harm, less lethal self-harm with visible tissue damage, self-harm without visible tissue damage, self-harmful behaviors with latent damage and psychological self-harm. Multivariate logistic regression is used to explore the associations between parent-child separation and different subtypes of self-harm among adolescents. Paternal separation is associated with each type of self-harm whilst maternal separation is not correlated with highly lethal self-harm. Except for highly lethal self-harm, the other four subtypes of self-harm demonstrate a relation with both length of paternal separation and maternal separation with aOR ranging from 1.02 to 1.06. Individuals who suffer parental separation prior to the age of three were at a higher risk for four types of less-lethal self-harm. The association of parent-child separation with self-harm deserves our attention, and future research is needed to identify the underlying mechanisms. (shrink)

本书包括物质和差别,物质和元间,信息、生命,主观世界,元间的世界,客观世界和主观世界,虚系统和实系统,辩证本体论的渊源与革命等八部分内容。.

Ben shu fen shang xia liang ge bu fen,Shang bian shi zhu zi yu lei wen xian yan jiu,Xia bian shi zhu zi yu lei ci hui yan jiu.Quan shu yi gong fen wei 9 zhang.Di yi zhang xu lun,Shou xian jie shao le zhu xi yu zhu zi yu lei,Qi ci jin xing le xue shu hui gu,Zong jie le jin 20 nian lai(jie zhi 2009 nian)Guo nei wai zhu zi yu lei yan jiu de sheng kuang he qu (...) de de zhu yao cheng jiu,Zui hou ti chu ben shu de yan jiu fang fa he yi yi.Di er zhang yan jiu tong xing ben zhu zi yu lei ji cheng shu zhi qian de ji ge zhong yao ban ben.Di san zhang wei zhong hua ben zhu zi yu lei yu song ke ben hui an xian sheng zhu wen gong yu lu de yi wen bi jiao.Di si zhang wei zhong hua ben zhu zi yu lei yu chao xian gu xie ben zhu zi yu lei yi wen bi jiao.Di wu zhang yan jiu zhu zi yu lei de wen xian xue jia zhi.Di liu zhang he di qi zhang ji zhong yan jiu zhu zi yu lei de fu yin ci.Di ba zhang tao lun zhu zi yu lei zhong de duo yin jie ci yu.Di jiu zhang zong jie chan shu zhu zi yu lei de yu ti te zheng,Yu yan te dian he yan jiu jia zhi. (shrink)

本書是對《莊子》內七篇的哲學解讀。使用現象學的一些觀點對莊子思想加以重構，使之獲得現代化，納入當代學術的語境中，為建構中國現代哲學與美學提供本土的資源。主要取向是，促使莊子思想中的身體哲學之因素，從潛 在狀態過渡到顯在狀態，改變對莊子的傳統認識和固定認識（「心學」）。因此，本書是莊子詮釋的身學範式的一種開拓。按照本書的觀點，現代美學就是一種身體哲學，在身體哲學的意義上，莊子的哲學與美學便合而為一了。 郭勇健，男，1973年10月生，福建福清人。2003年畢業於東南大學藝術學系，獲博士學位。現為廈門大學人文學院中文系副教授。主要講授文學原理（本科）、藝術原理（碩士）等課程。研究方向為現象學美學、藝術 原理等。已發表主要論文有：《從「禮」與「仁」看孔子的藝術精神》、《雕塑作品的運動表現》、《「空中之鳥」與雕塑的語言》、《論雕塑藝術的空間問題》、《繪畫的「物質性」與「精神性」》、《對「舞蹈是流動的雕塑 」的質疑》、《論台灣舞蹈家林懷民舞蹈藝術的美學特色》、《如何言說音樂——兼論羅曼·羅蘭對音樂的現象學言說》、《論藝術創造過程的心物關係》、《藝術學的學科性質與發展前景》、《對 的質疑》、《藝術學改造芻議——兼論藝術學的哲學基礎》、《重審藝術學與美學的關係問題》、《重建文化教學——奧爾特加論大學教育改革》、《「新實踐論美學」經典重溫》等；已出版專著有《永恆的偶像——關於雕塑》 、《作為藝術的舞蹈——舞蹈美學引論》、《創造的奧秘——李維祀雕塑藝術研究》、《藝術原理新論——大眾傳媒時代的藝術原理》等。.

本书循着时间概念的线索对马克思的重要文本进行了解读.作者认为,马克思在不同时期对时间概念的理解水平显示出其哲学思想发展的不同阶段.在对资本主义社会的出色分析中,他既揭示出时间之主体性的存在,也揭示出时 间之客体维度的存在.通过辩证的分析,马克思揭示了资本对劳动时间的剥夺以及它吊诡的文明与野蛮的特征,指明了产生时间异化的基础是资本主义生产方式.

本书是世界儒学大会发起国际会议的会议录,分为会议文献、领导讲话、专家演讲、新闻报道四个部分。.

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.

本书内容包括:王阳明道德本体论及其影响,王阳明与大同社会,王阳明心学与禅学关系的两个层面,王阳明与安福心学等。.

孟學與荀學作為兩種儒家心理的原型，而儒學又作為中國思想場域的大傳統，是以可說思想史脈絡中的孟荀論辯與交鋒，即為建構中國思想場域中人格特質的關鍵來源。亦即思想史上尊孟抑荀的現象，事實上便是孟學意識型態所 形塑之性善心理結構對於性惡陰影的潛抑現象。那是在孟學「四端」理論下所形塑儒家存有具有一不可見卻如四體般存在的「良知器官」之集體驅力。亦即在中國思想場域中的存有只能是「道德人」，而不存在西方基督宗教場域 中「生物人」脈絡下的自我認同與表述。而這樣的孟學心理結構已然成為具有集體性的無意識，驅動著存有的思維與行動，是以產生性善的權威、成聖的焦慮、他律的創傷與政治的昇華等現象。本書將通過孟荀而思，藉由荀學視 域涉入孟學意識型態形塑下之儒家心理結構，去反思、批判與重建存有的心理結構，進而作為思索當代華人乃至東亞儒學場域之人格特質的來源與基礎。.

◎孔子為何周遊列國？因為沒有一個國君想用儒家治國，他只好到處教書遊說。 ◎秦國用法家統一天下，漢高祖劉邦用道家蓄積國力，直到漢武帝登基，儒家才被注意。 ◎儒學為何從沒人理，轉眼變治國工具？這得從董仲舒的「解釋」說起。 ◎儒學就像作業系統，幾千年來更新過四次版本，孔子的儒學不等於現在的儒學。 作者馬大勇，清華大學、上海交通大學國學特聘教授。 曾被推舉為最受歡迎的中文教授。 在本書中，他將儒家文明分為五個時期： 孔子奠基期、孟子成熟期、兩漢經學期、宋代理學期和明代心學期。 解析儒家思維是如何像電腦作業系統一樣，歷經四次的版本更新， 從原本的中庸之道、民為貴、君為輕的民主思想， 一步步變成君權神授，天人感應， 成為各朝代帝王穩固皇權的最佳推手。 就此儒學變成帝王學，開啟了千年以來人民為皇權奴隸的中央集權體制。 ◎孔子的儒學，是教你如何當君子 《論語》中，仁字出現了104次，禮字出現74次， 孔子的重要理念「中庸之道」，更成為宋元以後科舉考試的必讀書。 這個具有人道主義的思維，為何不被當時的統治者如春秋諸侯或秦國採納？ 因為亂世中，做君子的好處太少，當小人能得到的利益比較多。 ◎孟子是民主思想的啟蒙者，但被後代皇帝刪掉了 孟子思想的最大亮點就是「民為貴，社稷次之，君為輕」， 這套民主思維後來為何會消失？ 因為明太祖朱元璋看到「君為輕」三個字，就把《孟子》一書狠狠摔地上， 刪節版《孟子》就此誕生，往後一百年，學生學到的孔孟儒學知識都是不完整的。 ◎因為董仲舒的「特殊解釋」，從此百家遭罷黜，皇帝獨尊儒術 秦國用法家思想滅六國一統天下，漢高祖劉邦用道家治國，修生養息， 兩大皇權都對儒家思維沒興趣，直到漢武帝劉徹時期， 董仲舒為了拍皇帝馬屁，重新解釋，儒術從此轉化帝王術。 他口中的儒教，跟孔孟闡述的儒學，哪裡不一樣？差在造神。 ◎宋元明清重新詮釋儒學，想當官者必讀四書 宋、元之後，孔子的《中庸》又重新被提起， 因為它教你用大學之道維持國家秩序。 儒學家朱熹更讓《四書集注》成為為官者的必讀聖書。 至於為什麼是宋朝與明朝，跳過了大唐盛世？ 因為東漢黨錮之禍殺害許多知識分子，儒家文化走向低谷； 南北朝興盛佛教；至於唐朝則儒、釋、道並重。 直到韓愈寫的《原道》為儒家文明打下基礎，在宋代發揚光大。 打天下靠武力，龍椅要坐穩就靠統治， 儒家思想如何經過五階段改造，從民主思維變中央集權， 而且延續千年「至今」不墜。 本書特色 儒學為何從沒人理，轉眼變治國工具？這得從董仲舒的「解釋」說起。 孔子的儒學，如何經過五階段改造，從民主思維變中央集權。 名人推薦 淡江大學中文系教授／高柏園.

本书内容包括:STS与东亚国家的工业化、城市化和国际化;STS与中国东北老工业基地改造和振兴的战略与对策;科学技术与文化;文化背景中的创新:科技创新、制度创新、管理创新和体制创新等问题;其他STS研究 的基本理论与现实问题。.

本书包括“全球化”语境下的哲学反思、经济哲学研究与我国社会主义建设、文化多样性与中国特色社会主义文化建设、当代哲学与政治研究、“网络时代”的科技与人、“三个代表”理论的哲学思考、马克思主义哲学教学与改 革等若干方面。.