Accentuate the negative

A survey of mean inequalities with real weights is given.Comment: 16 pages 3 figure

Parent uncertainty, self-care, and adjustment outcomes in the pediatric inpatient rehabilitation setting

Children admitted for inpatient rehabilitation have complex medical needs that typically require intensive medical care and therapies. The psychosocial adjustment process for parents of children admitted for inpatient rehabilitation may be particularly difficult given the demands of extended hospitalization; however, limited data exists to characterize parent psychosocial adjustment in this unique context. Thus, the present study aimed to assess parent distress during a child's admission for inpatient rehabilitation, as well as factors which may impact parent adjustment. Thirty parents completed measures 4-10 days following admission to a pediatric rehabilitation hospital in a Midwestern city. Measures of depression, anxiety, posttraumatic stress, parent perceived uncertainty in illness/medical condition, and parent perceived success at engaging in self-care were completed. Parents reported high levels of psychological distress, with a substantial subset of parents reporting clinically concerning levels of depressive (36%), anxious (44.8%), and posttraumatic stress symptoms (41.4%). Overall, 57% of parents reported clinically concerning symptoms in at least one area of adjustment. Higher levels of uncertainty were associated with higher levels of posttraumatic stress symptoms (p < .05). Lower reported success in self-care and managing difficult emotions was associated with higher levels of depressive symptoms and posttraumatic stress symptoms (p < .05). This study is among the first to document parent adjustment during a child's admission for inpatient rehabilitation. Parents reported clinically concerning rates of depressive, anxious, and posttraumatic stress symptoms, indicating a clear need for psychosocial intervention. Further, given the elevated risk for child adjustment difficulties associated with parent adjustment difficulties (Bakula et al., 2019), these results are especially concerning. These data point to several areas of assessment and potential intervention, especially in addressing illness-related uncertainty and helping parents to improve self-care

Liquid-liquid Equilibria in the Ternary Systems H2O– Phenol – 2-Butanone and H2O– Phenol – 2-Propanol

Liquid-liquid phase equilibria (LLE) in the systems H2O – phenol – 2-butanone at 25 °C and H2O – phenol – 2-propanol at 25 °C were experimentally determined with a combination of turbidimetric titration and refractometry methods. UNIFAC model was found qualitatively suitable for prediction of LLE in both systems. NRTL and UNIQUAC model parameters were determined as well. The correlation was found qualitative for the system with 2-butanone and larger deviations from experimental data were found in the system with 2-propanol

Power, Avionics and Software Communication Network Architecture

This document describes the communication architecture for the Power, Avionics and Software (PAS) 2.0 subsystem for the Advanced Extravehicular Mobile Unit (AEMU). The following systems are described in detail: Caution Warn- ing and Control System, Informatics, Storage, Video, Audio, Communication, and Monitoring Test and Validation. This document also provides some background as well as the purpose and goals of the PAS project at Glenn Research Center (GRC)

A Communication Architecture for an Advanced Extravehicular Mobile Unit

This document describes the communication architecture for the Power, Avionics and Software (PAS) 1.0 subsystem for the Advanced Extravehicular Mobility Unit (AEMU). The following systems are described in detail: Caution Warning and Control System, Informatics, Storage, Video, Audio, Communication, and Monitoring Test and Validation. This document also provides some background as well as the purpose and goals of the PAS subsystem being developed at Glenn Research Center (GRC)

Power, Avionics and Software - Phase 1.0:

This report describes Power, Avionics and Software (PAS) 1.0 subsystem integration testing and test results that occurred in August and September of 2013. This report covers the capabilities of each PAS assembly to meet integration test objectives for non-safety critical, non-flight, non-human-rated hardware and software development. This test report is the outcome of the first integration of the PAS subsystem and is meant to provide data for subsequent designs, development and testing of the future PAS subsystems. The two main objectives were to assess the ability of the PAS assemblies to exchange messages and to perform audio testing of both inbound and outbound channels. This report describes each test performed, defines the test, the data, and provides conclusions and recommendations

External Validation and Extension of a Clinical Score for the Discrimination of Type 2 Myocardial Infarction

Background: The early non-invasive discrimination of Type 2 versus Type 1 Myocardial Infarction (T2MI, T1MI) is a major unmet clinical need. We aimed to externally validate a recently derived clinical score (Neumann) combing female sex, no radiating chest pain, and high-sensitivity cardiac troponin I (hs-cTnI) concentration ≤40.8 ng/L. Methods: Patients presenting with acute chest discomfort to the emergency department were prospectively enrolled into an international multicenter diagnostic study. The final diagnoses of T2MI and T1MI were centrally adjudicated by two independent cardiologists using all information including cardiac imaging and serial measurements of hs-cTnT/I according to the fourth universal definition of MI. Model performance for T2MI diagnosis was assessed by formal tests and graphical means of discrimination and calibration. Results: Among 6684 enrolled patients, MI was the adjudicated final diagnosis in 1079 (19%) patients, of which 242 (22%) had T2MI. External validation of the Neumann Score showed a moderate discrimination (C-statistic 0.67 (95%CI 0.64–0.71)). Model calibration showed underestimation of the predicted probabilities of having T2MI for low point scores. Model extension by adding the binary variable heart rate >120/min significantly improved model performance (C-statistic 0.73 (95% CI 0.70–0.76, p 120/min improved the model’s performance