震惊
发表于 2025-3-25 04:29:16
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AVANT
发表于 2025-3-25 08:55:52
Amina Alrasheed NayelExplores the demarcation between the mainstream Islam dominant in the UK and West Yorkshire and Sufi African Islam.Investigates how discourses of ‘otherness’ contribute toward the silencing of alterna
Mirage
发表于 2025-3-25 12:17:28
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Immunotherapy
发表于 2025-3-25 16:32:56
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Anthrp
发表于 2025-3-25 23:45:00
Bewusst und achtsam kommunizieren, produced in the diaspora space, addressing interrelationship between gender ethnicity and identity of Muslim women while exploring the dominant mainstream Islam in the UK. Al Rasheed draws attention to the components that make up Muslim identity and culture as specifically produced through religiou
Contend
发表于 2025-3-26 02:08:51
,Eine Einführung in die Konfliktarbeit,sis, arguing for an uncoupling of the analytical notion of Muslimness and hegemonic performativities and emphasizing the issues of gender and Islam, including multifaceted Islam and the complexity of identities. She explains how religious identity in the diaspora is mediated by factors such as gende
充满装饰
发表于 2025-3-26 06:55:56
https://doi.org/10.1007/978-3-642-24929-7 Examining the nature of Sufi Sudanese Islam, She proceeds with a look at what makes nostalgia and homemaking, and how Sudanese women survive the state of alienation they experienced in West Yorkshire. Al Rasheed asserts the im/possibility of finding a place for African Sufi Islam in West Yorkshire
禁令
发表于 2025-3-26 10:58:21
Konflikte in interkulturellen Teams,Al Rasheed problematized the category of national identity and maintained the importance of analysis of practices and performance, in the discussion of the performativities of Islam and identity construction in the diasporic space. Al Rasheed explored the dimensions of conflicting Sudanese identitie
影响带来
发表于 2025-3-26 13:20:32
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2否定
发表于 2025-3-26 17:31:17
Movement and Spatial Specificity Support Scaling in Ant Colonies and Immune Systems: Application tothe scaling of detection in order to search and respond in large areas with dynamic distributions of data. Based on this research, we discuss a bioinspired approach for a distributed, adaptive, and scalable biosurveillance system.