https://www.selleckchem.com/products/gusacitinib.html This paper describes the design and implementation of intelligent dynamic models for fault detection and isolation of V94.2(5)/MGT-70(2) single-axis heavy-duty gas turbine system. The series-parallel structure of nonlinear autoregressive exogenous (NARX) models are used for fault detection, which initiate greater robustness and stability against uncertainties and perturbations. Moreover, to improve the fault detection robustness against uncertainties, the Monte Carlo technique is used in the proposed fault detection structure to select the best threshold. The analysis of fault detectability and fault detection sensitivity are accomplished to analyze the performance of the suggested technique. The fault isolation process is also achieved by using the residual classification approach. The results show the feasibly, robustness, and performance of the presented approach for fault diagnosis of nonlinear systems in the presence of uncertainties. The objective of this study is to elucidate the decision-making experiences of youth with brachial plexus birth injuries who face preference-sensitive decisions regarding treatment options for a persistent elbow contracture. Transcripts, research-created drawings, and field notes from in-depth interviews with 5 young adults and 14 youth-parent dyads, and 15 participant observation sessions of families and clinicians in the clinic setting were deductively and inductively coded and thematically analyzed. Youth's shared decision making was influenced by relational processes with their clinicians and parents. Youth's trust in their clinicians' recommendations for pursuing treatment and pressure from their parents to pursue or continue rehabilitation treatment affected how their voices were expressed and heard. Parental emotional adjustment to the birth injury played a role in parental perceptions of what was deemed their youth's best interest in the shared decision. The decision-ma