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Research evaluating predictors of mathematics ability in preschoolers with autism spectrum disorder (ASD) is scarce and inconclusive. The present study first compared the mathematics ability and cognitive abilities of preschoolers with ASD and age-matched typically developing (TD) peers. Then, we examined the relative contributions of cognitive abilities to the mathematics ability of preschoolers with ASD and TD. The results show that compared to those of their age-matched TD peers, the mathematics and cognitive abilities of preschoolers with ASD were impaired. The predictors of mathematics ability were found to differ among preschoolers with ASD and their age-matched TD peers. For TD preschoolers, the domain-specific approximate number system (ANS) was the key predictor of mathematics ability. For preschoolers with ASD, domain-general working memory (WM) was most important.

Research evaluating predictors of mathematics ability in preschoolers with autism spectrum disorder (ASD) is scarce and inconclusive. The present study first compared the mathematics ability and cognitive abilities of preschoolers with ASD and age-matched typically developing (TD) peers. Then, we examined the relative contributions of cognitive abilities to the mathematics ability of preschoolers with ASD and TD. The results show that compared to those of their age-matched TD peers, the mathematics and cognitive abilities of preschoolers with ASD were impaired. The predictors of mathematics ability were found to differ among preschoolers with ASD and their age-matched TD peers. For TD preschoolers, the domain-specific approximate number system (ANS) was the key predictor of mathematics ability. For preschoolers with ASD, domain-general working memory (WM) was most important., Author(s): Lijuan Wang [sup.1] , Xiao Liang [sup.1] , Bo Jiang [sup.1] , Qiutong Wu [sup.1] , Luyao Jiang [sup.1] Author Affiliations: (1) grid.27446.33, 0000 0004 1789 9163, School of [...]

Demolition of buildings can generate large amounts of waste concrete, which if used effectively, can help reduce both the extraction of raw materials and carbon emissions. However, the presence of old cement mortar affects the effective use of waste concrete as a recycled fine aggregates. This study aims to remove old mortar adhering to the surface of waste concrete coarse aggregates via thermal-physical treatment. This study involves assessing the thermal-physical treatment technology and comparing the performance of recycled fine aggregates prepared using this technology with that of fully recycled fine aggregates. The results of this study illustrate the effect of the thermal-physical treatment technique on the preparation of recycled fine aggregates from waste concrete and the effect of fully recycled fine aggregates and recycled fine aggregates prepared using this technique on ceramsite concrete. The results revealed that the thermal-physical treatment technology has a positive effect in improving the quality of recycled fine aggregates prepared via the thermal-physical treatment technique. This technique helps to significantly improve the compressive strength, ultrasonic velocity, resistance to sulfate attack, and microstructure of the recycled ceramsite concrete compared with the fully recycled fine aggregate. [ABSTRACT FROM AUTHOR]

The line loss rate of power supply enterprises is an important economic and technical index, which directly reflects the lean level of marketing professional management of power supply enterprises. At present, the confusion of transformer-user archives in transformer area is still widespread, which is a key issue in line loss management in power supply enterprises. As the downlink communication channel, low-voltage power line carrier can realize cross-station reading, which brings great difficulties to the identification of transformer-user relation. Because the data of calculating the line loss rate of the transformer area depends on the electrical information acquisition system, the running state of the electrical information acquisition equipment is also one of the important factors affecting the line loss rate of the transformer area. This paper will focus on the fault diagnosis technology of electrical information acquisition equipment, and use it to carry out the identification of transformer-user transformers.

Intelligent acquisition terminal is an important medium for power users to collect electric energy data and load data. It realizes centralized collection of electricity information through local and remote communication technology. With the continuous development of communication technology, the acquisition terminal is becoming more and more intelligent and its functions are becoming more and more complex. The content of field equipment fault diagnosis analysis technology is getting higher and higher. This paper combines with the current intelligent acquisition terminal fault diagnosis mode to optimize the research, from the technical and management aspects, makes an analysis of the causes of acquisition anomalies and the lack of means, and puts forward reasonable efficiency improvement suggestions.