In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the processing of multiway (...) data. To identify differentially expressed genes, the plan is carried out as follows. First, multiview data containing cancer gene expression data from different sources are prepared. Second, the original tensor is decomposed into a sum of a low-rank tensor and a sparse tensor using TRPCA. Third, the differentially expressed genes are considered to be sparse perturbed signals and then identified based on the sparse tensor. Fourth, the differentially expressed genes are evaluated using Gene Ontology and Gene Cards tools. The validity of the TRPCA method was tested using two sets of multiview data. The experimental results showed that our method is superior to the representative methods in efficiency and accuracy aspects. (shrink)

Although the concept of the consumer–brand relationship has undergone rapid change over the past two decades, the issue of brand addiction is still generally neglected in the literature. Based on social identity theory, the research develops a conceptual model of the influence of self-expressive brands and susceptibility to interpersonal influence on brand addiction. The results of this research demonstrate both separate and joint effects of SEBs and SUSCEP on brand addiction. In addition, harmonious brand passion and obsessive brand passion positively (...) mediate the relationships among SEB, SUSCEP, and brand addiction. The research explores the formation mechanism of brand addiction from a new perspective and has important practical implications for brand marketers concerned with finding the most effective means to enhance the consumer–brand relationship. (shrink)

BackgroundPrevious findings indicated that breast cancer patients often have dysfunction in empathy and other cognitive functions during or after chemotherapy. However, the manifestations and possible neuro-electrophysiological mechanisms of pain empathy impairment in breast cancer patients after chemotherapy were still unknown.ObjectiveThe current study aimed to investigate the potential correlations between pain empathy impairment and event-related potentials in breast cancer patients undergoing chemotherapy.MethodsTwenty-two breast cancer patients were evaluated on a neuropsychological test and pain empathy paradigm before and after chemotherapy, containing the Chinese (...) version of the Interpersonal Reactivity Index, while recording ERP data.ResultsThe empathic concern scores were lower and personal distress scores were higher on IRI-C task compared with those before chemotherapy. Meanwhile, the accuracy rates were lower than those before chemotherapy for both pain and laterality tasks on the pain empathy paradigm. However, the response time was no significant differences before and after chemotherapy. Further, the amplitude of the N1 component was significantly increased, and the amplitude of the P2 component was significantly decreased in the subsequent ERP study. A linear mixed effect model was used to analyze the correlation, the average amplitude of N1 and P2 were positively correlated with the accuracy rates in laterality tasks.ConclusionThe results indicated that pain empathy impairment was performed in chemotherapeutic breast cancer patients, which was possibly correlated to the changes of N1 and P2 components in ERP. These findings provide neuro-electrophysiological information about chemo-brain in breast cancer patients. (shrink)

从信息科学的角度阐述文化起源和图腾、宗教、理性三种文化形态与人类获取生存资料的思维、语言与劳动三种技术形式相对应,及进入信息时代后出现的文化特征。.

“乐之所由来者尚矣”。先秦儒家乐教思想的演进可征之于儒家乐教文献。本书基于文献与思想史相结合的视角，对先秦儒家乐教文献进行了较系统、全面的考证和解读。据《尚书·尧典》载，舜作为原始社会末期部落联盟的首 领，已经有意识地在氏族内部“典乐”以教育“冑子”。周公对这种源自远古时代作为“事神之道”的“礼乐之具”进行改造，“制礼作乐”、弘扬乐教，体现了周人制度理性和人文精神的萌芽。.

哲學巨擘傅佩榮，獻給愛智者最真摯的禮物 總結懸命半生的重磅著作，橫跨2600年、120位哲學家 ➢哲學就是愛智慧，陪你思考人生問題，掌握人生方向； ➢哲學就是人生經濟學，用最少時間，達成最大效果。 哲學有益人生。傅佩榮教授於「得到」知識平臺開設熱門課程： 「傅佩榮的西方哲學課」，超過四萬訂戶。 本著作為此課程整理修訂而成，完整梳理西方哲學史2600年的120位代表人物， 一套三冊，分為： ．上：古代＋中世紀—介紹古希臘與中世紀哲學 ．中：近代—介紹近代哲學 ．下：現代—介紹現代哲學 本冊為【上：古代＋中世紀】 本著作是哲普作品，也是西方哲學簡史，清楚表述哲學家在愛智過程中所領悟的心得， 與對現代人生的啟發，綜合哲學家用生命驗證的成果，展示西方的核心理念， 讓我們在品味西方哲學時，還能建立起自己的宇宙觀、人生觀、價值觀。 ||上：古代＋中世紀|| 如何讓神從神壇走向廚房？擁有魔戒，你會做什麼？ 悲劇可以淨化心靈嗎？享樂主義的快樂清單說什麼？ 若我受騙，則我存在？有多少力量，就有多少愛？ 古希臘哲學留給後世無限寶貴財富，探討宇宙及萬物的來源； 接續的中世紀哲學由基督宗教主導，綿延1300年， 卻被稱為「黑暗時代」，哲學成為神學的女僕。 但不能忽略基督宗教維持社會穩定、保存文化命脈、塑造西方心靈、 助人面對人生奧祕，是開啟近代哲學的關鍵時期！ ◤哲學讓人生更香甜，改變你對生命的想像！ ．未經反省檢查的人生，是不值得活的。──蘇格拉底 ．對自我有強烈的執著，是一切罪惡的最常見來源。──柏拉圖 ．從事哲學思考，就是學習如何死亡。──西塞羅 ．不要滿不在乎的過日子，好像你可以活一千年似的。──奧雷流士 ．不要從你自身離去，因為真理棲息於人的內心世界。──奧古斯丁 ．人的良心，就是為他引航的最佳嚮導。──司各特 ||書籍特色|| ☆每節結束附上「學習心得」、「問題思考」、「補充說明」， 便於讀者複習重點、換位思考哲學家的觀點進而迸出心靈火花、補充說明關鍵概念。 ☆書中加入作者長年研究儒家與道家的心得，有助讀者在對照比較中， 既可欣賞西方哲學，又能覺悟中國哲學的特色與價值。 ☆書末附有索引，詳列詞條在各冊的頁碼，方便讀者對照查找。.

Ben shu cai yong " fan shi " fang shi jie shao le yin le mei xue zai xi fang zhi jin suo fa sheng guo de zhu yao wen ti.

Yongming Yanshou shi Tang mo wu dai Song chu Wu Yue guo gao seng, xian cun you yi bai duo wan zi de zhu zuo. ben shu zhu yao cong "ju yi wei xin zhong", "zhao wan fa ru jing", "sin sheng wan xing", "dao fa yi xing cheng" si ge fang mian, duo Yanshou xin xue de xin ti lun, xin xiang lun, xin yong lun he xin jing lun jing xing le yan jiu.

Ben shu gong fen san bu: di yi bu hui gui zhen wo, di er bu hui gui tian di, di san bu hui gui tai ji. Nei rong bao kuo: lun sheng ming; sheng ming yu shi ge; sheng ming yu yin yue; xian dai ren sheng ming de yan bian; wo shi shui, tian di yu wo deng.

Xue xi he yan jiu Zhongguo zhe xue, yi ban lai shuo, Feng xian sheng shi ke chao er bu ke yue de. Yi si shi, hou ren wan quan ke neng er qie ye ying dang sheng guo Feng xian sheng, dan shi que bu neng rao guo Feng xian sheng. Rao guo Feng xian sheng, bu dan bi ran yao duo fei li qi, er qie rong yi zou wan lu er nan yu (...) shen ru tang ao. Feng Youlan zuo wei wo guo jin dai zhe xue de yi dai ju bo, zai mou zhong yi yi shang, ying xiang liao zheng ge jin dai Zhongguo zhe xue de ge ju. Er dui yu Feng Youlan zhe xue ji qi xue shu sheng ya de yan jiu, ye sui zhe dang dai guo xue yan jiu de xing qi, shou dao yue lai yue duo de guan zhu. Minguo shi qi de Zhongguo xue shu jie, ying gai shuo shi hui ju le yi da pi kua shi dai de xue shu jing ying, te bie shi zai chuan tong xue shu ling yu, kan cheng yi chang si xiang de sheng yan.ben shu zuo zhe zai hao ru yan hai de Minguo wen xian zhong, jing xin zheng li chu dang shi xue jie dui Feng Youlan zhe xue de hui ying he dui hua, qi zhong bao kuo zhu ru Chen Yinke, Jin Yuelin, Hu Shi, Zhang Dainian, Cai Shangsi deng yi da pi xue jie tai dou de wen zhang, zi liao xing fei chang qiang, bu jin fan ying le zhu wei xue zhe ge ren de du dao jian jie, geng cong yi ge ce mian fan ying le Minguo shi qi Feng Youlan zhe xue yan jiu de sheng kuang, dui dang xia yan jiu Feng Youlan zhe xue si xiang ju you zhong yao de can kao jia zhi. (shrink)

Ben shu gong you ba jiang zu cheng, fen bie shi sheng ren bi ke xue er zhi, Wang Yangming de xin xue ti xi, shi gong yu bing xue, wen xue si xiang yu shi wen chuang zuo, jiao yu si xiang yu shi jian, Yangming hou xue, Yangming xue zai jin xian dai de ying xiang, Yangming wen hua yu Guizhou lü you. Mei ge lun ti lun shu ji zhong, shen du shi zhong, xu shu xing (...) yu yan tong su liu chang, gu shi xing qiang, hen shi he da zhong du zhe yue du. wei qi fa du zhe si kao, zeng qiang yue du xiao guo, zai mei yi jiang zhi hou shi liang she zhi le yi xie ming ci jie shi, jian da tao lun ti. ling pei he xiang guan wen zi, she zhi le yi xie tu pian, bei ke he Yangming shu fa zuo pin deng, ju you ji jia de guan shang xing. (shrink)

1. Xin yi shu chuang zuo lun, Xin yi shu lun ji -- 2. Mian xiang sheng huo, Lun yi shu de ji qiao -- 3. Yi yi dang shi -- 4. Xi wen le jian -- 5. Ge er bu ge -- 6. Lun Feng jie -- 7. Kai xin yue shi -- 8. Bu dao ding dian, Shen mei de min gan -- 9. Zai zai tan suo -- 10. Liao ran yu xin -- 11. Shen mei (...) tan -- 12. Si zeng xiang shi, Yi shen er ren -- 13. Shen mei xin tai -- 14. Hui jian zi ji -- 15. Diao su diao su -- 16. "Fu huo" de fu huo -- 17. Dong fang ji bai -- 18. Shen yu wu you -- 19. Tu na ying hua -- 20. Qu yu wu xie -- 21. Shu xin, ti ci xuan -- 22. Duan jian can pian. (shrink)

Ben shu zhu yao cong san ge fang mian dui Zhou Dunyi li xue si xiang de mei xue te zhi jin xing jie du: yi shi gen ju qi "tai ji" guan fen xi "tai ji" zhi yuan rong mei, dong jing mei, he xie mei; er shi zai dui qi "jun zi guan" he "sheng ren guan" jin xing yan jiu de ji chu shang, zhan xian gang jian, zhong he, gao jie, sa luo, shang zhuo de (...) jun zi ren ge he yi "le" wei ben de sheng ren jing jie, shi dui chuan tong ren ge mei xue ji xian shi you chao yue de shuang chong te zheng de jin yi bu chan shi; san shi zai "xiang" yu "yi", "wen" yu "dao", "le" yun "li" de guan xi zhong fen xi "wen yi zai dao" de mei xue yi yun, cong ben ti de gao du fen xi wen dao guan xi, jiao wei jing zhun de chan shi le Zhou Dunyi "wen yi zai dao" de wen xue si xiang. (shrink)

This research examines the speeded detection and, separately, classification of photographic images of animals. In the initial experiments each display contained various images of animals and, in the detection task, participants responded whether a display contained only images of birds or also included an oddball target image of a cat or dog. In the classification search task, a target was always present and participants classified this as an image of a cat or a dog. Half of the target images depicted (...) the animal in a non-threatening state and the remaining half images depicted the animal in a threatening state. A complex pattern of effects emerged showing some evidence of more efficient detection of a threatening than non-threatening target. No corresponding pattern emerged in the data for the classification task. Next the tasks were repeated when the stimuli were more carefully matched in terms of general pose and salience of facial features. Now the effects in the detection task were reduced but more consistent than before. Threatening targets were more readily detected than non-threatening targets. In addition, non-threatening targets were more readily classified than threatening targets. The nature of these effects appears to reflect decisional/response mechanisms and not search processes. The performance benefit for the non-threatening images was replicated in a final classification task in which, on each trial, only a single peripheral image was presented. The results demonstrate that a number of different affective and perceptual factors can influence performance in speeded search tasks and these may well be confounded with the variation in threat content of the experimental stimuli. The evidence for the automatic detection of visual threat remains illusive. (shrink)

Short-term traffic flow prediction is an effective means for intelligent transportation system to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making short-term traffic flow prediction a challenging issue. However, the existing models do not consider the influence of weather changes on traffic flow, leading to poor performance under some extreme conditions. In view of the rich features of traffic data and the characteristic of being vulnerable to external weather conditions, (...) the prediction model based on traffic data has certain limitations, so it is necessary to conduct research studies on traffic flow prediction driven by both the traffic data and weather data. This paper proposes a combined framework of stacked autoencoder and radial basis function neural network to predict traffic flow, which can effectively capture the temporal correlation and periodicity of traffic flow data and disturbance of weather factors. Firstly, SAE is used to process the traffic flow data in multiple time slices to acquire a preliminary prediction. Then, RBF is used to capture the relation between weather disturbance and periodicity of traffic flow so as to gain another prediction. Finally, another RBF is used for the fusion of the above two predictions on decision level, obtaining a reconstructed prediction with higher accuracy. The effectiveness and robustness of the proposed model are verified by experiments. (shrink)

Legal Judgment Prediction (LJP) is an essential component of legal assistant systems, which aims to automatically predict judgment results from a given criminal fact description. As a vital subtask of LJP, researchers have paid little attention to the numerical LJP, i.e., the prediction of imprisonment and penalty. Existing methods ignore numerical information in the criminal facts, making their performances far from satisfactory. For instance, the amount of theft varies, as do the prison terms and penalties. The major challenge is how (...) the model can obtain the ability of numerical comparison and magnitude perception, e.g., 400 < 500 < 800, 500 is closer to 400 than to 800. To this end, we propose a judicial knowledge-enhanced magnitude-aware reasoning architecture, called NumLJP, for the numerical LJP task. Specifically, we first implement a contrastive learning-based judicial knowledge selector to distinguish confusing criminal cases efficiently. Unlike previous approaches that employ the law article as external knowledge, judicial knowledge is a quantitative guideline in real scenarios. It contains many numerals (called anchors) that can construct a reference frame. Then we design a masked numeral prediction task to help the model remember these anchors to acquire legal numerical commonsense from the selected judicial knowledge. We construct a scale-based numerical graph using the anchors and numerals in facts to perform magnitude-aware numerical reasoning. Finally, the representations of fact description, judicial knowledge, and numerals are fused to make decisions. We conduct extensive experiments on three real-world datasets and select several competitive baselines. The results demonstrate that the macro-F1 of NumLJP improves by at least 9.53% and 11.57% on the prediction of penalty and imprisonment, respectively. (shrink)

Though a few scholars have discussed the transnational engagement of Caribbean thinkers with China, hitherto unknown is the imaginative alliance Left-wing Chinese writers crafted with the Caribbean via their works on the Haitian Revolution. This paper explores writings by four Chinese Marxists—Li Chunhui, Wang Chunliang, Lu Guojun, and Mao Xianglin—who engaged with Caribbean intellectuals, like Eric Williams, and used the history of the first anti-colonial revolution to rethink China’s own decolonial experiment. During the Maoist era, these thinkers argued for the (...) independence of the Haitian Revolution from the French Revolution, imagining Haiti’s revolutions as prefigurations of Third-World Revolution. In the deradicalized Deng era, these writers held contradictory stances towards capitalism, stressing how old and neocolonialism plundered Haiti. By reducing Sino-Caribbean relations to the Chinese diaspora in the Caribbean, or to the recent Belt and Road Initiative, scholars overlook lost revolutionary solidarities that aimed to dismantle world white supremacy. (shrink)