In order to solve the problems of high investment and low box office losses in the film industry, this study analyzes the topic of film box office and film and television reviews based on social network big data. Firstly, the factors that affect the box office of the movie are analyzed. Secondly, continuous and discrete feature parts, text parts, and fusion parts are merged. The box office prediction model of mixed features using deep learning is established, and the movie box (...) office is predicted. Finally, compared with other algorithms and models, the box office prediction model of mixed features using deep learning is verified. The results show that compared with other models, the prediction accuracy of the mixed feature movie box office prediction model using depthwise separable convolution -Transformer is higher than that of other algorithm models. Its optimal mean square error value is 0.6549, and the optimal mean absolute error value is 0.1706. The constructed model predicts the box office of nine movies, and the error between the predicted value and the true value is about 10%. Therefore, the established movie box office prediction model has a good effect. This study can predict movies’ box office to reduce investment risk, so it is of great significance to movie investors and the social economy. (shrink)

There is controversy as to whether children with developmental language disorder (DLD) and those with high-functioning autism plus language impairment (HFA-LI) share similar language profiles. This study investigated the similarities and differences in the production of Chinese negative sentences by children with DLD and children with HFA-LI to provide evidence relevant to this controversy. The results reflect a general resemblance between the two groups in their lower-than-TDA (typically developing age-matched) performance. Both groups encountered difficulties in using negative markers, which suggests (...) that they might be impaired in feature agreement. Slight differences were detected between the two groups. Specifically, children with DLD experienced difficulties with the agreement on the feature [+telic] and that on the feature [+dynamic], while children with HFA-LI had difficulties with the agreement on the feature [+dynamic] and that on the feature [−dynamic]. This study supports the idea of a common symptomatology for the two disorders. More importantly, it suggests that these two disorders, DLD and HFA-LI, are not altogether the same in terms of language impairment. This paper concludes that general labels should not be simply attached to any children with language disorders. Instead, atypical language is very worthy of further analysis in the categorization of language disorders. (shrink)

The growing uses of algorithm-based decision-making in human resources management have drawn considerable attention from different stakeholders. While prior literature mainly focused on stakeholders directly related to HR decisions (e.g., employees), this paper pertained to a third-party observer perspective and investigated how consumers would respond to companies’ adoption of algorithm-based HR decision-making. Through five experimental studies, we showed that the adoption of algorithm-based (vs. human-based) HR decision-making could induce consumers’ unfavorable ethicality inferences of the company (study 1); because implementing a (...) calculative and data-driven approach (i.e. algorithm-based) to make employee-related decisions violates the deontological principles of respectful employee treatment (study 2). However, this effect was attenuated when consumers had high (vs. low) power distance beliefs (study 3); the algorithm served as assistance (vs. replacement) for human decisions (study 4); or the adoption was framed as employee-oriented (vs. company-oriented) motivated (study 5). Our findings suggested that consumers are aversive to algorithm-based HR decision-making because it is deontologically problematic regardless of its decision quality (i.e. accuracy). This paper contributes to the extant understanding of stakeholders’ responses to algorithm-based HR decision-making and consumers’ attitudes toward algorithm users. (shrink)

With the development of geoscience, users are eager to obtain preferred service from geospatial information intelligently and automatically. However, the information grows rapidly while the service gets more complicated, which makes it difficult to find out the targeted information for an exact service in geospatial issues. In this paper, a novel method is proposed to promote the geospatial service from information to knowledge with spatiotemporal semantics. Both prompted and professional knowledge are further refined to be published as a service. In (...) terms of an exact task, numerous related services are recombined to a service chain under user requirement. Finally, the proposed method is applied to monitor the environment on the Air Quality Index and soil moisture in the Sensor Web service platform, the results of which indicate geospatial knowledge service is more efficient to support spatial decision-making. (shrink)

本书分为占筮、星象、天道、鬼神、祭祀、经典、礼治、德政、德行、君子十章,主要内容包括:文明起源与历史特性、古代宗教、人文思潮、春秋的思想世界、春秋的龟卜等.

本书收录了中国哲学史大家陈来先生近年来关于新儒家一系列研究文章，从对“哲学”概念的理解谈起，详细讨论了20世纪中国哲学方面具有创造性的新儒家代表人物如熊十力、马一浮、梁漱溟、冯友兰等学者对儒学的创新和 发明。.

漢代是中國歷史上第一個長治久安的一統帝國。在政治上，它確立了此下2000年中國中央集權政治體制的模式；在學術文化上，西方人將傳統中國學術研究統稱為「漢學」，因為漢代確立了中國傳統學術文化與族群性格的雛 形，其學術思想有幾個重要特質：一、統合性的思想色彩濃厚，二、崇功尚用，擅政論而不重哲思，三、法家思想是其政治的支撐，陰陽家思想是其學術文化的底流。本書一方面就漢代幾位大思想家，如陸賈、賈誼、董仲舒的著 作，乃至漢代財經大論辯記錄──《鹽鐵論》的記載，去呈現漢代思想與思想家兼糅並包的特質；同時就思想史的角度，全面梳理法家思想在漢代諸子理論中的表現，以印證法家思想在漢代學術思想中的重要地位。同時也透過考 察先秦以來抽象的「道」論在漢代務實轉化的情況，去呈顯漢代思想崇功尚用、不重玄思的特質。.

本书旨在反映近现代史上著名湘籍哲学人物的学术经历及哲学成就，主要介绍了魏源、谭嗣同、杨昌济、李达、李石岑、金岳霖六位人物。.

本书包括七章:人文精神与价值冲突,全球化与价值冲突,文化与价值冲突,中国入世与价值冲突,社会转型与价值冲突,价值观教育与价值冲突,道德和法律建设与价值冲突。.

本书从哲学角度对当代伦理学诸多重要问题进行了深入探讨, 如宪政伦理、可持续发展视野下的分配正义、道德责任、价值排序与伦理风险、当代中国传媒的后现代化及其伦理困境等, 文中所探讨问题均为伦理学前沿问题, 为研究我国伦理学方面的重要著作.

本书对近代中国社会的国内统治危机和国外资本主义的入侵作了具体分析,并介绍统治集团内部的改革人物的改革主张及学术思想等.

江戶時代（1603-1867）是日本大規模吸收與改造中國儒學的重要歷史時期，對中國儒學的吸收與改造不僅使江戶時代日本文化展現出豐富多彩的歷史畫卷，也為日本的明治維新提供了思想理論基礎，甚至一直影響至今 。 本書運用了大量的、前人未曾引用的第一手資料，詳細論述與分析了江戶時代日本六大學派對中國儒學的不同態度以及各學派所取得的學術成就，展現了日本吸收與改造中國儒學的成功與失敗。 陳景彥，男，1955年生，吉林德惠人，歷史學博士。曾任日本關西學院大學、日本中央大學、日本西南學院大學客座研究員、客座教授。 國務院政府特殊津貼獲得者；吉林省第八批有突出貢獻的中青年專業技術人才和吉林省高級專家；多次獲得吉林大學、長春市政府、吉林省政府人文社會科學優秀成果獎一等獎。現任吉林大學東北亞研究院教授、博士生導師；中 國日本史學會中日關系史分會會長；東北地區中日關系史研究會副會長；中華日本學會常務理事。 主要研究方向為日本史及中日關系史。 王玉強，1979年9月生，吉林梅河口人，2009年畢業於吉林大學，獲歷史學博士學位，現就職於吉林大學東北亞研究院，職稱副教授，曾獲笹川良一優秀青年教育基金優秀獎和日本國日中關系學會中江獎，已發表多篇學 術論文，其中有兩篇論文被《中國社會科學文摘》轉載。.