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Course literature

Course literature is an important part of your studies. You can access the books you need by borrowing them from the library, buying them new or used, or using online resources. Planning ahead can help you save both time and money. Reading listsUniversity programmes and courses often have long reading lists. These are usually available at the start of the course and include the books you are expec

https://www.lunduniversity.lu.se/current-students/student-services-and-support/literature-and-libraries/course-literature - 2026-06-25

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This article is concerned with the historical evolution of the mining industry in Canada since 1859. The focus is directed on changes that occurred in the industry and allows for the identification of four distinct mining regimes. These regimes are defined using the Regulation Theory, which connects conditions of production, technical progress, financial structures, and social relations. The ident

Museums, collections and archives

Lund University is home to unique museums, collections and archives that reflect both research and history. Here you will find everything from archaeological finds, art and historical documents to biological diversity and type specimens. Skissernas MuseumSkissernas Museum – the Museum of Artistic Process and Public Art – is a unique art museum focusing on the artistic creative process. It houses t

https://www.lunduniversity.lu.se/about-university/visit-lund-university/experience-university/museums-collections-and-archives - 2026-06-25

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Platelets express Toll-like receptor 4 (TLR4), and this has been shown to be responsible for the thrombocytopenia induced by lipopolysaccharide (LPS) administration in vivo. We studied the role of LPS in mediating platelet phagocytosis by THP-1 cells in vitro by flow cytometry. Opsonization of platelets with an IgG monoclonal (W6/32) antibody or with IgG autoantibody-positive sera from patients wi

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The accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies focus mainly on housing price analysis at a macro scale, without fine-scale study due to a lack of available data and effective models. By integrating a convolutional neural netwo