PurposeTo develop a brief family support function scale for Chinese high school students (FSFS‐CHSS).MethodsStandard procedures for scale development (identification of conceptual model, literature review, item selection and modification using consumer and expert panels and item reduction techniques) were used to develop a 17‐item scale. Families of students in 96 high school classes in Hunan were used for item selection and validation. A subset of 4 out of 96 classes was selected as a test–retest sample.ResultsA brief CHSS‐FSFS with 17 items was found to have good test–retest and internal consistency reliability (Pearson correlation coefficient: 0.89, P<0.05; Cronbach's alpha coefficient was 0.87). Three factors were extracted using factor analysis, accounting for 48% of total variation. Comparison of CHSS‐FSFS score between healthy and unhealthy families was statistically significant, t=7.58, P<0.01.ConclusionsCHSS‐FSFS is a reliable and valid tool for family support function assessment.

The effects of rare earth (RE) on the microstructure and mechanical properties of a pearlitic steel wire rod have been investigated under the dual low‐oxygen condition. The results show that the wire rods with different RE contents all have pearlite microstructure. As RE content increases from 0 to 310 ppm, the pearlite substructures such as interlamellar spacing, pearlite colony size and ferrite grain size decreasing remarkably, indicating that the nucleation and growth behavior of pearlite have changed. This is attributed to the combined effects of stimulating nucleation by large number of micrometer scale RE‐containing inclusions and decreased carbon diffusion due to RE in solution. As a results, the changes in microstructure lead to simultaneous enhancement of strength, plasticity, impact toughness and microhardness of pearlite wire rod, demonstrating that adding appropriate content of RE under the dual low‐oxygen condition is an effective alloying method to optimize the microstructure and mechanical properties of pearlitic steel wire rod.This article is protected by copyright. All rights reserved.

With the continuous developments of information technology, advanced computer technology and information technology have been promoted and used in the field of music. As one of the products of the rapid development of information technology, Artificial Intelligence (AI) involves many interdisciplinary subjects, adding new elements to music education. By analyzing the advantages of AI in music education, this paper systematically summarizes the application of AI in music education and discusses the development prospects of AI in music education. With the aid of AI, the combination of intelligent technology and on-site teaching solves the lack of individuation in the traditional mode and enhances students’ interest in learning.

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