Search

BackgroundStudies have shown that music therapy can be used as a therapeutic aid for clinical disorders. To evaluate the effects of music therapy (MT) on language communication and social skills in children with autism spectrum disorder (ASD), a meta-analysis was performed on eligible studies in this field.MethodsA systematic search was conducted in eight databases: PubMed, Embase, Web of Science, Cochrane Library databases, the China National Knowledge Infrastructure (CNKI), Wanfang Data, the Chinese Biomedical Literature (CBM) Database, and the VIP Chinese Science and Technology Periodicals Database. The standard mean difference (SMD) values were used to evaluate outcomes, and the pooled proportions and SMD with their 95% confidence intervals (CIs) were also calculated.ResultsEighteen randomized controlled trial (RCT) studies were included, with a total of 1,457 children with ASD. This meta-analysis revealed that music therapy improved their language communication [SMD = −1.20; 95%CI –1.45, −0.94; χ2 (17) = 84.17, I2 = 80%, p

Electrically excited synchronous machines (EESMs) with brushes and slip rings are popular in many application fields. Nevertheless, the brushes and slip rings of EESM would increase maintenance cost and reduce the reliability. Addressing this issue, this paper proposes a novel brushless electrically excited synchronous machine (BEESM) with arc-shaped rotor structure, whose armature and field windings are placed on the stator. Firstly, the special structure and operation principle of the BEESM are illustrated and studied. Then, the electromagnetic performance indexes, including the air-gap flux density, flux linkage, back electromotive force (back-EMF), cogging torque, output torque and losses are fully analyzed by finite element method (FEM). Finally, the proposed BEESM is optimized to suppress the cogging torque. The results indicate that the proposed BEESM could serve as a high reliability and cost-effective candidate for the electricity generation system and industrial drive.

Radar is a common means of tracking a target, and with active enemy interference, it often causes the target to lose its track, thus causing the radar to lose continuous tracking of the target. To improve the tracking effect, a multi-sensor cooperative detection target tracking method based on radar photoelectric linkage control was established. The study is based on radar photoelectric linkage, constant velocity (CV), constant acceleration (CA) and current statistical model (CSM) as the mathematical model of moving targets for this study. Improved interactive multi-model (IMM) and standard IMM were compared for targets in different motion states, as well as single sensor electronic support measures (ESM) and multi-sensor electronic support measures (ESM), infrared search and track (IRST). The research results show that in variable speed motion, the improved IMM algorithm and multiple sensors are used for target tracking. The azimuth and elevation tracking errors of the target are low, which can effectively solve the problem of model mismatch during the conversion of motion modes such as CV and CA. The azimuth and elevation image curves fluctuate smoothly, and have high stability. This method can achieve better tracking results. [ABSTRACT FROM AUTHOR]