Multiview attention networks for fine-grained watershed categorization via knowledge distillation.

With the rapid development of artificial intelligence technology, an increasing number of village-related modeling problems have been addressed. However, first, the exploration of village-related watershed fine-grained classification problems, particularly the multi-view watershed fine-grained classification problem, has been hindered by dataset collection limitations; Second, village-related modeling networks typically employ convolutional modules for attentional modeling to extract salient features, yet they lack global attentional feature modeling capabilities; Lastly, the extensive number of parameters and significant computational demands render village-related watershed fine-grained classification networks infeasible for end-device deployment. To tackle these challenges, we introduce a multi-view attention mechanism designed for precise watershed classification, leveraging knowledge distillation techniques, abbreviated as MANet-KD.

Clinical features and factors associated with outcomes of antibody-negative autoimmune encephalitis in patients requiring intensive care.

Background And Objectives: Antibody-negative autoimmune encephalitis (AE) is a form of encephalitis characterized by the absence of detectable autoimmune antibodies, despite immunological evidence. However, data on management of patients with antibody-negative AE in the intensive care unit (ICU) are limited. This study aimed to explore the characteristics and subtypes of antibody-negative AE, assess the effects of immunotherapy, and identify factors independently associated with poor functional outcomes in patients requiring intensive care.

Different types of anions mediated the formation of rice glutelin fibrils: Aggregation behaviors and structural characteristics.

Anions have more pronounced effect on the aggregation power of proteins than cations. Herein, the effect of different types of anions on rice glutelin (RG) based fibrils formation was investigated. The fibrils yield and growth rate of RG were enhanced with various anions, due to the specific ions effect and intermolecular interaction.

Force Feedback Method for Statically Indeterminate Steel Structure Construction Based on Staged Temperature Measurement.

Structural design usually adopts uniform temperature action. However, during the actual construction of the structure, the temperature field acting on the structure is inhomogeneous. Therefore, the simulation of the construction of statically indeterminate steel structures considering only the uniform temperature field cannot truly reflect the temperature action after structural molding and the evolution of the stress performance of the temporary stress system of structural construction.