ObjectiveRetinal vein occlusion (RVO) is the second most common retinal vascular disorder after diabetic retinopathy, which is the main cause of vision loss. Retinal vein occlusion might lead to macular edema, causing severe vision loss. Previous neuroimaging studies of patients with RVO demonstrated that RVO was accompanied by cerebral changes, and was related to stroke. The purpose of the study is to investigate synchronous neural activity changes in patients with RVO.MethodsA total of 50 patients with RVO and 48 healthy subjects (...) with matched sex, age, and education were enrolled in the study. The ReHo method was applied to investigate synchronous neural activity changes in patients with RVO.ResultsCompared with HC, patients with RVO showed increased ReHo values in the bilateral cerebellum_4_5. On the contrary, patients with RVO had decreased ReHo values in the bilateral middle occipital gyrus, right cerebelum_crus1, and right inferior temporal gyrus.ConclusionOur study demonstrated that patients with RVO were associated with abnormal synchronous neural activities in the cerebellum, middle occipital gyrus, and inferior temporal gyrus. These findings shed new insight into neural mechanisms of vision loss in patients with RVO. (shrink)

In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. Aiming at the problem that a single high-level output feature map has insufficient ability to express pedestrian features and existing methods cannot effectively select appropriate multilevel features, this paper improves the traditional AdaBoost algorithm structure, that is, the sample weight update (...) formula and the strong classifier output formula are reset, and the two-input AdaBoost-DBN classification algorithm is proposed. Moreover, in view of the problem that the fusion video is not smoothly played, this paper considers the motion information of the video object, performs pixel interpolation by motion compensation, and restores the frame rate of the original video by reconstructing the dropped interframe image. Through experimental research, we can see that the algorithm constructed in this paper has a certain effect. (shrink)

本书分两个部分：第一部分通过对神仙信仰的文化、心理根源的发掘揭示神仙信仰的来源、变化，介绍神仙信仰的内容，如成仙的境界、成仙的方术等等；第二部分则根据对历代的神仙传说和这些被尊为神仙的历史、传说人物的 真实史实的照片，介绍了这些在民间影响巨大的神仙。.

身體的感受同時包含意涵與感覺、文化與本性，既非純粹的身體感受，亦非單純的認知，而是兩者的結合，因而研究人與物（或物質環境）的關係需要同時從認 知及人與物密切的交會、互動的過程著手。本書企圖結合人類學近二十年來相當受到矚目的身體與物質文化研究兩項課題，本書的作者們認為，各文化的成員對這個 世界有不同的認識，不只源自於過去強調之宇宙觀的差異，更與各自體物的方式有密切的關係。 本書同時提出「身體感」的研究取向，強調過去感官人類學的研究多以單一感官作為研究的單位，並以修正西方社會文藝復興以來過於強調視覺的現象作為研究 的主題，乃錯失重點。人們隨時都在使用不同的感官，並結合不同感官所接受的訊息，而形成舒適、潔淨、骯髒、熱鬧、冷清等經驗的主題、焦點或「身體感」的項 目，從感官訊息之間如何結合成身體感的項目及身體與物之間密切的互動，本書作者以不同的主題，提出身體感研究的見解。.

Current development in a deep neural network has given an opportunity to a novel framework for the reconstruction of a holographic image and a phase recovery method with real-time performance. There are many deep learning-based techniques that have been proposed for the holographic image reconstruction, but these deep learning-based methods can still lack in performance, time complexity, accuracy, and real-time performance. Due to iterative calculation, the generation of a CGH requires a long computation time. A novel deep generative adversarial network (...) holography framework is proposed for hologram reconstruction. This novel framework consists of two phases. In phase one, we used the Fresnel-based method to make the dataset. In the second phase, we trained the raw input image and holographic label image data from phase one acquired images. Our method has the capability of the noniterative process of computer-generated holograms. The experimental results have demonstrated that the proposed method outperforms the existing methods. (shrink)

Ben shu zhu zai zhang xian ru jia yi li zai xiu dao fan chou de te se, Bao kuo wang chuan shan liang duan yi zhi lun yan yi, Bian zheng si wei yu shi jian zhi he, Zhong guo ren wen chuan tong yu xian dai jiao yu.

In the film “Kaili Blues” by Bi Gan, intricate clues create complex connections between the plots steered by various characters. This relationship manifests in splitting time and alternating between dream and reality. This article analyzes Bi Gan’s approach to temporality and dreams by focusing on how he employs various film metaphors to deal with poetic narratives in his films. The article consists of three sections: First, it introduces the (puzzle) storytelling form of “Kaili Blues” as a promising area in many (...) Chinese films. Second, it examines how puzzle films contribute to the ambiguity (plots) between characters from the perspective of infinite games. Moreover, third, the article discusses the two levels of metaphors in “Kaili Blues” that result from the condensation and displacement of metaphors, including the mutual projection of roles caused by the time-forking effect and the audience’s associations caused by the significance of dreams in Chinese tradition (or local) culture. (shrink)

Computational visual perception, also known as computer vision, is a field of artificial intelligence that enables computers to process digital images and videos in a similar way as biological vision does. It involves methods to be developed to replicate the capabilities of biological vision. The computer vision’s goal is to surpass the capabilities of biological vision in extracting useful information from visual data. The massive data generated today is one of the driving factors for the tremendous growth of computer vision. (...) This survey incorporates an overview of existing applications of deep learning in computational visual perception. The survey explores various deep learning techniques adapted to solve computer vision problems using deep convolutional neural networks and deep generative adversarial networks. The pitfalls of deep learning and their solutions are briefly discussed. The solutions discussed were dropout and augmentation. The results show that there is a significant improvement in the accuracy using dropout and data augmentation. Deep convolutional neural networks’ applications, namely, image classification, localization and detection, document analysis, and speech recognition, are discussed in detail. In-depth analysis of deep generative adversarial network applications, namely, image-to-image translation, image denoising, face aging, and facial attribute editing, is done. The deep generative adversarial network is unsupervised learning, but adding a certain number of labels in practical applications can improve its generating ability. However, it is challenging to acquire many data labels, but a small number of data labels can be acquired. Therefore, combining semisupervised learning and generative adversarial networks is one of the future directions. This article surveys the recent developments in this direction and provides a critical review of the related significant aspects, investigates the current opportunities and future challenges in all the emerging domains, and discusses the current opportunities in many emerging fields such as handwriting recognition, semantic mapping, webcam-based eye trackers, lumen center detection, query-by-string word, intermittently closed and open lakes and lagoons, and landslides. (shrink)

Gilles Deleuze demonstrated the key role of flashback in dealing with the relationship between actual image and recollection-image when interpreting the temporality of images. He established two criteria for judging whether a flashback implies a recollection-image by stating that: (1) it serves as some kind of prompt in the narrative to make the viewer perceive that the scene has entered a flashback; (2) it relies on fate or forking time. But Deleuze also mentioned that, if the context or condition disappears, (...) the recollection-image represented by the flashback will lose its support, at which point, the pure recollection will also disappear. In this case, the actual image no longer forms a connection with the sensor-motor, but is suspended, which produces a fantasmatic effect. Bi Gan extends this suspension in his film “Long Day’s Journey into Night” by removing the character being referred to in the flashback, stripping it from figure and confining it in the voice-over. The film features an extreme use of several effects in the sensory-motor situations and the flashbacks, as described in Deleuze’s “Cinema 2: Time-Image,” namely recollection, dream, and falsification. Thus, the boundary between flashback and reality is completely broken. In addition, Bi Gan uses doppelgangers in the second part of the film to reconstruct the ambiguity of actual images and recollection-images in the first part, turning them into pure fantasies. This essay will analyze issues relating to the images and characters in “Long Day’s Journey into Night” and show how this film constitutes a typical case of recollection-images transformed into fantasies through the power of falsification. (shrink)

The deceptive clues in the impossible puzzle film confirm the viewer’s internal expectations and allow retrospective attributing. In the film, a transcendental object negates an internal expectation, causing a retrospective blockage. Retrospectivity does not stop there; the transcendental object reinterpreting deceptive clues in the associative area leads to repeated attribution. This article consists of three parts. First, it discusses impossible puzzle films in the context of complex narrative classification. The following section introduces the Jungian concept of synchronicity and illustrates how (...) it works. The article concludes with a case study of Long Day’s Journey into Night (2018), which contains more complicated puzzles and explains how mind-game narrative techniques create deceptive clues and induce deceptive retrospective attribution. (shrink)

感通有三層結構，依照場所論來理解，主體性中的自我關係、人我關係、天人關係是按照三方向而配置。 這三種方向彼此無法任意取代，卻仍然有相互呼應的關聯。 黃冠閔《感通與迴盪：唐君毅哲學論探》核心論題是唐君毅的感通概念，此一概念選擇考慮到「感通」是一個傳統詞彙，唐君毅有意識地取用此一概念連結上傳統思想資源，但又賦與它一些新的理解，帶入新的不同脈絡。 感通概念蘊含著動態歷程中的時間性與歷史性，一方面符合中國哲學「易」（包含《易經》、《易傳》）重視時與位的思想傳統，另一方面也能夠結合歷史與文化的思想特色，不受限在自然的層面上。 本書《感通與迴盪》嘗試的方式是從批判論與觀念論的傳統略微挪移，結合著二十世紀發展出的現象學來審視感通論；本書也努力於探測這一哲學論述的理論效果，從 「迴盪」的角度來評估。迴盪，既是拉開了距離，此即觀點挪移所產生的距離，也是時間的差異，重新安置在當代的思想氛圍中來回應。迴盪，也有一個來自音響上的效果，不是追求同聲相應，但是在異音變調中尋求一種呼應的 可能，也試著重新調音，探索創造新調性的樣貌。.

“教育部人文社会科学研究项目”和“浙江大学人文社会科学强所计划研究项目”资助 “浙江大学侨福建设基金”资助.

本书包括:论实用理性与乐感文化、哲学答问、哲学探寻录、主体性哲学论纲系列、美的哲学等内容。.

美感教育的實施，不可避免必須面對「不同主體之間的美感」可能存在殊異性的問題，本書試圖立於互為主體性的基礎，論述一種「共鳴美感」的新視野，並描繪出臺灣美感教育的未來可能新願景。首先，筆者先透過美感教育相 關議題之探討，析論推動美感教育可能面臨的潛在難題與挑戰，其次，針對問題而論述出一種「共鳴美感經驗」之理念，以作為解決構想；最後，透過實際個案來闡述「共鳴美感」在課程教學中的可能樣貌，包含：以「共鳴」的 「共感性」作為「美育課程實踐」的核心；以「共鳴」的「協同性」作為「教學藝術體現」的策略；以「共鳴」的「他者性」作為形塑「自我主體認同」之途徑。.

本書屬於比較哲學的工作，它涉及德國、中國與韓國的倫理學思考。第一、二章首先藉由梳理康德早期倫理學經由席勒倫理學到現象學倫理學的發展過程及其內在理路。此一發展涉及倫理學的基本問題：我們對於道德價值的「領 會」（Erfassung）究竟是什麼性質？此一問題具有跨文化的普遍意義，因此上述的思考為我們之探討中、韓儒學中的相關問題提供了極有用的參考架構。在中國儒學的發展當中，本書選擇了南宋朱熹與湖湘學派關於「 仁」的辯論（第三章），以及晚明劉宗周對於孟子的「四端」與《中庸》的「喜怒哀樂」之獨特詮釋（第四、五章）為探討個案。在韓國儒學的發展當中，本書則選擇了朝鮮儒者李退溪與奇高峰、李栗谷與成牛溪關於「四端」與 「七情」的辯論（第六、七、八章）為探討個案。在這三個個案中，朱子學作為共同的參照系統，與康德後期的倫理學有類似之處，即均預設理性與情感（或性與情）二分的主體性架構。反之，張栻等湖湘學者、劉蕺山、李退溪 與成牛溪將孟子的「四端」或《中庸》的「喜怒哀樂」視為與「七情」異質的形上之情，此點與現象學倫理學的基本方向不謀而合.

本书共有两篇,第一篇物质矛盾运动概论分为八章,包括矛盾形态和类型、运动形式及类别等。第二篇介绍了关于暗物质等宇宙历史中的若干问题。.

本书分李春生东游前的言论、新注《东游六十四日随笔》两编,包括《主津新集》的价值观、李春生的时代背景、李春生的时事评论等内容.

本书对马克思主义哲学的发展问题进行研究,作者致力于通过对马克思主义发展的某些概念、范畴和原理的反思和阐述,使读者洞悉马克思主义哲学过去、现在和未来的诸多方面。.

這是一本醫者的手札,道盡了生命的現實,記述著臨終或重病的現象和生命的極限,並揭示愛與珍惜生命的道理,除了對患病者本身在面臨驟變時的心態調適有幫助之外,也是與讀者做一番如何克服感情與生命的最痛的對話.

《中庸原論:儒家情感形上學之創發與潛變》認為，孔子的心性之學包括兩個部分，即「心學」與「情學」。 儒學內化就是道德情感與良知之心內化為天命之性，成為道德實踐的內在本體和形上根據。 《中庸》作為思孟學派的早期作品，承擔着為儒學建立道德本體和尋找道德終極根源的形上課題。在這兩個課題中，道德情感都具有本質的意義，《中庸》初步建立起來的儒家形上學可以說是一種情感形上學。 宋明時期，孔子的「心學」得到充分發展，朱子是孔子「心學」之認知派，陸王是孔子「心學」之良知派，孔子的「情學」卻隱而不彰。 直到明末，劉蕺山才重新認識到道德情感的重要地位，並在一定程度上復歸了思孟學派心性情為一的義理結構。 楊少涵，河南桐柏人，副教授，碩士生導師。1999年7月畢業於鄭州大學，獲文學學士學位。2006年3月畢業於南京政治學院上海分院，獲哲學碩士學位。2009年6月畢業於上海復旦大學，獲哲學博士學位。201 1年6月於上海師范大學博士后出站。現任為華僑大學哲學與社會發展學院副教授。先后在《哲學研究》、《光明日報》等報刊上發表論文二十余篇。校理古籍《中庸集說》（衛湜著，漓江出版社，2011年）一部。.

Xiu zhen xu yu (wai pian) -- Tan Lao sui gan -- Yin shi yang zhen.

啓蒙思想の系譜を繙き、理性の力を問い直す。古代ギリシアから、ホッブズ、カント、フランクフルト学派を経て最新の議論まで。啓蒙を巡る問題意識の変遷を追う論考集。.

This seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The (...) Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Hashmi, Ahmed Refaat Hawas, Hoang Viet Long, Le Hoang Son, Hongbo Wang, Hongnian Yu, Mihaiela Iliescu, Saeid Jafari, Temitope Gbolahan Jaiyeola, Naeem Jan, R. Jeevitha, Jun Ye, Anup Khan, Madad Khan, Salma Khan, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Kifayat Ullah, Kishore Kumar P.K., Sujit Kumar De, Prasun Kumar Nayak, Malayalan Lathamaheswari, Luong Thi Hong Lan, Anam Luqman, Luu Quoc Dat, Tahir Mahmood, Hafsa M. Malik, Nivetha Martin, Mai Mohamed, Parimala Mani, Mingcong Deng, Mohammed A. Al Shumrani, Mohammad Hamidi, Mohamed Talea, Kalyan Mondal, Muhammad Akram, Muhammad Gulistan, Farshid Mofidnakhaei, Muhammad Shoaib, Muhammad Riaz, Karthika Muthusamy, Nabeela Ishfaq, Deivanayagampillai Nagarajan, Sumera Naz, Nguyen Dinh Hoa, Nguyen Tho Thong, Nguyen Xuan Thao, Noor ul Amin, Dragan Pamučar, Gabrijela Popović, S. Krishna Prabha, Surapati Pramanik, Priya R, Qiaoyan Li, Yaser Saber, Said Broumi, Saima Anis, Saleem Abdullah, Ganeshsree Selvachandran, Abdulkadir Sengür, Seyed Ahmad Edalatpanah, Shahbaz Ali, Shahzaib Ashraf, Shouzhen Zeng, Shio Gai Quek, Shuangwu Zhu, Shumaiza, Sidra Sayed, Sohail Iqbal, Songtao Shao, Sundas Shahzadi, Dragiša Stanujkić, Željko Stević, Udhayakumar Ramalingam, Zunaira Rashid, Hossein Rashmanlou, Rajkumar Verma, Luige Vlădăreanu, Victor Vlădăreanu, Desmond Jun Yi Tey, Selçuk Topal, Naveed Yaqoob, Yanhui Guo, Yee Fei Gan, Yingcang Ma, Young Bae Jun, Yuping Lai, Hafiz Abdul Wahab, Wei Yang, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Lemnaouar Zedam. (shrink)