Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation.

Despite the great progress of unsupervised domain adaptation (UDA) with the deep neural networks, current UDA models are opaque and cannot provide promising explanations, limiting their applications in the scenarios that require safe and controllable model decisions. At present, a surge of work focuses on designing deep interpretable methods with adequate data annotations and only a few methods consider the distributional shift problem. Most existing interpretable UDA methods are post-hoc ones, which cannot facilitate the model learning process for performance enhancement.

The psychological effects of nursing interventions on patients with suspected COVID-19 during isolation.

Background: To investigate the psychological characteristics of patients with suspected coronavirus disease 2019 (COVID-19) during isolation and to evaluate the effects of psychological nursing interventions.

Methods: A total of 137 patients with suspected COVID-19 were assessed using the 7-item Generalized Anxiety Disorder Scale (GAD-7), the 9-item Patient Health Questionnaire (PHQ-9), and the Trait Coping Style Questionnaire (TCSQ). Psychological nursing intervention measures were implemented, after which the patients were re-evaluated.

[Effect and mechanism of removal of trace p-chloronitrobenzene in aqueous solution by ZnOOH/O3].

Zinc hydroxide prepared in laboratory was used as catalyst in catalytic ozonation of trace p-chloronitrobenzene (pCNB) in water. The catalytic mechanism was deduced through the effect of radical inhibitor t-BuOH on the reaction. Furthermore, affecting factors of catalytic activity were investigated.