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Titlebook: Hinduism and Christianity; John Brockington Book 1992 Macmillan Publishers Limited 1992 bibliography.Christianity.dialogue.Hinduism.histor

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書目名稱Hinduism and Christianity
編輯John Brockington
視頻videohttp://file.papertrans.cn/428/427146/427146.mp4
叢書名稱Themes in Comparative Religion
圖書封面Titlebook: Hinduism and Christianity;  John Brockington Book 1992 Macmillan Publishers Limited 1992 bibliography.Christianity.dialogue.Hinduism.histor
描述A selection of themes from the two religions of Hinduism and Christianity, chosen to highlight the central concerns of both, while not neglecting their internal diversity and also maintaining a balance between doctrine and practice, in order to compare like with like. The themes addressed are the nature of the divine, divine interaction with mankind, authority and mediation, devotionalism and personal piety, meditation and asceticism, social values and morality, and teleology; the final chapter then outlines the history of contact and dialogue between the two religions. Although the treatment is thematic, the process of historical development is given due attention.
出版日期Book 1992
關(guān)鍵詞bibliography; Christianity; dialogue; Hinduism; history; history of literature; interaction; media; morality
版次1
doihttps://doi.org/10.1007/978-1-349-22280-3
isbn_ebook978-1-349-22280-3Series ISSN 2947-390X Series E-ISSN 2947-3918
issn_series 2947-390X
copyrightMacmillan Publishers Limited 1992
The information of publication is updating

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Social Values and Morality,e’s present condition is determined by one’s own past actions and one’s future condition is being determined in the present by one’s actions, and thus a man is essentially what he has made himself and can make himself what he chooses. This is not, of course, to deny that there may be greater obstacl
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John Brockingtonsarial inference model and a cycle-consistency loss function to empower the framework to obtain more accurate predictions. In addition, we incorporate a conformal mapping network structure into VPGAN to enable action control for generating desirable future frames. In this way, VPGAN is able to produ
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John Brockingtonantic tasks in code-mixed Hindi-English (Hi-En) texts, and investigate various training strategies for enhancing model performance. Our method outperforms the state of the art methods for Hi-En code-mixed sentiment analysis by 3.31% accuracy, and also shows better model robustness in terms of conver
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