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The purpose of this study was to find a suitable model to evaluate the relationship between temperature and intracerebral hemorrhage (ICH) and explore the effects of cold spells and heat waves on the clinicopathological parameters of ICH patients.

Passivhaus technology is gradually applied in kinds of projects around the world because of excellent energy-saving effect since it was invented. It is becoming a new tendency of the development of building energy efficiency. In this paper, the concept contents, and evaluation criteria of Passivhaus technology system are introduced, and the latest domestic and foreign cases using Passivhaus technology system are analyzed. It is concluded that building designers should focus on their profession in the Passivhaus technology system in order to achieve the goal of improving indoor environment quality and building energy efficiency. [ABSTRACT FROM AUTHOR]

Diagnosis of primary brain tumors relies heavily on histopathology. Although various computational pathology methods have been developed for automated diagnosis of primary brain tumors, they usually require neuropathologists' annotation of region of interests or selection of image patches on whole-slide images (WSI). We developed an end-to-end Vision Transformer (ViT) - based deep learning architecture for brain tumor WSI analysis, yielding a highly interpretable deep-learning model, ViT-WSI. Based on the principle of weakly supervised machine learning, ViT-WSI accomplishes the task of major primary brain tumor type and subtype classification. Using a systematic gradient-based attribution analysis procedure, ViT-WSI can discover diagnostic histopathological features for primary brain tumors. Furthermore, we demonstrated that ViT-WSI has high predictive power of inferring the status of three diagnostic glioma molecular markers, IDH1 mutation, p53 mutation, and MGMT methylation, directly from H&E-stained histopathological images, with patient level AUC scores of 0.960, 0.874, and 0.845, respectively., Competing Interests: The authors have declared no competing interests., (© 2022 The Author(s).)