The crystal facet effect of tin dioxide nanocrystals on photocatalytic degradation of water pollutants and photo-assisted ammonia sensing properties was studied.

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Objectives To determine the face validity of the survey instrument, Düsseldorf Orthorexie Scale (DOS), in adolescents aged 14–17 years. The DOS has been validated for use in adults to identify individuals at-risk for symptoms and behaviors consistent with the condition of Orthorexia Nervosa (ON). This condition is characterized by a pathological obsession with healthy or “clean” eating which leads to psychological and physical impairment. Methods Researchers conducted seven focus groups with male and female students currently enrolled in a high school health class (n = 40; 11 males, 29 females aged 14–17). Participants first completed the DOS scale and then were asked to participate in a group discussion regarding their understanding of the meaning of the questions in the DOS survey. Focus groups were audio recorded, transcribed, and coded to identify recurring themes. Codes for each of the 10 questions in the DOS scale were analyzed to determine group understanding of key words identified for each question. Results Key words in the original DOS survey questions were in agreement with the codes identified from the transcript of the focus groups for eight of the 10 DOS survey questions. The key words in the other two questions (indulgence in question one and colleague in question seven) were either not understood by focus group population or would need to be altered due to incorrect or inadequate understanding by focus group participants. 38 participants completed the DOS (M = 18.5, SD = 4.88). 7.9% of participants DOS responses indicated they were at moderate (n = 2) or high (n = 1) risk of practicing orthorexic behavior. Conclusions The DOS scale demonstrated good face validity in an adolescent population and the modification of two questions may improve its face validity. Though our sample was small, results indicate that a sizeable proportion of adolescents may already be practicing orthorexic behaviors. This demonstrates a need for further research to be conducted on effective prevention and intervention strategies for this age group. Funding Sources The author(s) received no financial support for the research, authorship, and/or publication of this article.

With the development of intelligent operation and maintenance of substations, the daily inspection of substations needs to process massive video and image data. This puts forward higher requirements on the processing speed and accuracy of defect detection. Based on the end-to-end learning paradigm, this article proposes an intelligent detection method for substation insulator defects based on CenterMask. First, the backbone network VoVNet is improved according to the residual connection and eSE module, which effectively solves the problems of deep network saturation and gradient information loss. On this basis, an insulator mask generation method based on a spatial attention-directed mechanism is proposed. Insulators with complex image backgrounds are accurately segmented. Then, three strategies of pixel-wise regression prediction, multi-scale features, and centerness are introduced. The anchor-free single-stage target detector accurately locates the defect points of insulators. Finally, an example analysis is carried out with the substation inspection image of a power supply company in a certain area to verify the effectiveness and robustness of the proposed method.

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