Psychosocial Treatment of Children in Foster Care: A Review

A substantial number of children in foster care exhibit psychiatric difficulties. Recent epidemiologi-cal and historical trends in foster care, clinical findings about the adjustment of children in foster care, and adult outcomes are reviewed, followed by a description of current approaches to treatment and extant empirical support. Available interventions for these children can be categorized as either symptom-focused or systemic, with empirical support for specific methods ranging from scant to substantial. Even with treatment, behavioral and emotional problems often persist into adulthood, resulting in poor functional outcomes. We suggest that self-regulation may be an important mediat-ing factor in the appearance of emotional and behavioral disturbance in these children

Track D Social Science, Human Rights and Political Science

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138414/1/jia218442.pd

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

An advanced data-acquisition system for wind energy projects

NREL has subcontracted with Zond Systems, Inc. to develop an advanced data-acquisition system (ADAS) for wind energy projects. The ADAS can be used to simplify the process of making accurate measurements and analyzing. The system utilizes state-of-the-art electronics and telemetry to provide distributed multi-source, multi-channel data acquisition. Local stand-alone microprocessor-based data acquisition modules (DAMs) can be located near sources of measurement. These allow analog data values to be digitized close to the measurement source, thus eliminating the need for long data runs and slip rings. Signals from digital sensors and transducers can also be directly input to the local DAMS. A PC-based ground station is used to coordinate data transmission to and from all remote DAMS, display real-time values, archive data sets, and process and analyze results. The system is capable of acquiring synchronized time-series data from sensors and transducers under a variety of test configurations in an operational wind-park environment. Data acquisition needs of the wind industry differ significantly from those of most other technologies. Most conventional system designs do not handle data coming from multiple distributed sources, nor do they provide telemetry or the ability to mesh multiple incoming digital data streams. This paper describes the capabilities of the ADAS, and how its design and cost objectives are geared to meet anticipated US wind industry needs