Objective: Previous studies have revealed associations between sleep quality and mental health, yet the comprehensive role of sleep quality, daytime dysfunction, social exclusion, and self-control in difficulties with emotion regulation remains unclear. This study aimed to elucidate how sleep quality affects emotion regulation difficulties among middle school students through pathways involving daytime dysfunction, social exclusion, and self-control, thereby providing a more comprehensive theoretical basis for mental health interventions. Methods: Utilizing the pittsburgh sleep quality index, the adolescent social exclusion scale, the brief self-control scale, and emotion regulation scale-short form, we assessed 1067 students randomly selected from four middle schools from October to November 2023. After the removal of extreme values (those exceeding 3 standard deviations), 806 students were retained for data analysis. Results: Our findings indicate that poor sleep quality significantly contributes to increased daytime dysfunction(β = 0.86, SE = 0.07, p < .001), which in turn affects social exclusion(β = 0.60, SE = 0.16, p < 0 0.001), self-control abilities(β = 1.27, SE = 0.16, p < .001) and emotion regulation difficulties(β = 1.56, SE = 0.30, p < .001). Social exclusion mediates the relationship between sleep quality and emotion regulation difficulties(Estimate = 0.11, SE = 0.04, 95% CI [0.04, 0.20] ). Conclusion: The aim of this study is to provide new insights into the development of effective intervention measures to improve sleep and mental health in adolescents.

Compensating for the infinite number of actuator faults considered in nonlinear multi-manipulator systems is a significant, yet a crucial issue for control problems. In view of this, a novel fuzzy adaptive fault-tolerant control algorithm is proposed for nonlinear multi-manipulator systems to eliminate the influence of actuator faults and improve accuracy essentially, as well as achieve the objective of containment. First, a Lyapunov function is constructed by replacing the square term of the error with a series of smooth functions. Moreover, a predefined accuracy function is introduced and a new fuzzy adaptive fault-tolerant containment control scheme is designed. This overcomes the problem that existing methods cannot guarantee the negative-definite property of time derivative of Lyapunov function between two adjacent actuator faults. And it also ensures the boundedness of containment errors. Furthermore, projection-based adaptive parameters and the turning function are fused to compensate the influence of actuator faults. Finally, the effectiveness of the designed control scheme is verified by a simulation example of multiple single-link manipulator systems.

This article investigates the command filter-based decentralized prescribed performance adaptive fault-tolerant compensation control strategy for uncertain nonlinear large-scale systems subject to asymmetric time-varying full-state constraints. Via integrating the performance function with command filter-based backstepping technique, the prescribed performance control problem is addressed, under which the complexity of controller design is reduced. Under the prescribed performance control framework, the nonlinear transformed function is constructed so as to ensure that the asymmetric time-varying full-state constraints free from feasibility conditions imposed on virtual control signals are not violated. Besides, the effect of infinite number of time-varying actuator faults is compensated with the aid of projection adaption design. Furthermore, based on the piecewise Lyapunov function analysis, it is rigorously testified that entire involved signals are bounded, desired constraints are not breached and tracking errors within the predefined domains. Finally, the effective performances of the developed control algorithm are confirmed by some simulation results.