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Presentation slides describing the content of scientific and technical papers are an efficient and effective way to present that work. However, manually generating presentation slides is labor intensive. We propose a method to automatically generate slides for scientific papers based on a corpus of 5000 paper-slide pairs compiled from conference proceedings websites. The sentence labeling module of our method is based on SummaRuNNer, a neural sequence model for extractive summarization. Instead of ranking sentences based on semantic similarities in the whole document, our algorithm measures importance and novelty of sentences by combining semantic and lexical features within a sentence window. Our method outperforms several baseline methods including SummaRuNNer by a significant margin in terms of ROUGE score. 

Comprehending cutaneous lupus Cutaneous lupus erythematosus (CLE) is a disfiguring skin condition that affects most patients with systemic lupus erythematosus (SLE) and can be resistant to treatment even when systemic disease is responsive. Billi et al. analyzed CLE lesions and paired normal-appearing skin biopsies, as well as circulating immune cell subsets, to better understand changes in the skin that drive CLE pathogenesis. Using single-cell RNA sequencing and spatial RNA sequencing, they identified a type I IFN–rich signature in prelesional, normal-looking skin that influenced transcription and cell-cell communication for all major skin cell types. CD16 + dendritic cells, which are associated with SLE, were also shaped by the type I IFN environment, and cells in these sites shifted toward a proinflammatory phenotype. Together, these data provide insights into transcriptional changes in the skin that contribute to CLE pathogenesis.