Predictors of homelessness among families and single adults after exit from homelessness prevention and rapid re-housing programs: evidence from the Department of Veterans Affairs Supportive Services for Veteran Families Program

This article assesses the extent and predictors of homelessness among Veterans (both Veterans in families with children and single adults Veterans) exiting the Supportive Services for Veteran Families (SSVF) program, which is a nationwide homelessness prevention and rapid re-housing program geared primarily towards those experiencing crisis homelessness. Among rapid re-housing participants, 16% and 26% of single adult Veterans experienced an episode of homelessness at one and two years post-SSVF exit; the comparable figures at those follow-up times for Veterans in families were 9.4% and 15.5%, respectively. Relatively fewer single adult Veterans and Veterans in families receiving homelessness prevention services experienced an episode of homelessness at one and two years post-SSVF exit. Veteran-level characteristics, including age, gender, prior history of homelessness and recent engagement with VA healthcare were generally more salient predictors of homelessness following SSVF exit than variables measuring SSVF program factors, or community-level housing market conditions.U.S. Department of Veterans Affairs, National Center on Homelessness Among Veteran

Directed evolution of a fungal β-glucosidase in Saccharomyces cerevisiae

Additional file 1. Table S1. Primers used in this study

Scaling properties of a low-actuation pressure microfluidic valve

Using basic physical arguments, we present a design and method for the fabrication of microfluidic valves using multilayer soft lithography. These on-off valves have extremely low actuation pressures and can be used to fabricate active functions, such as pumps and mixers in integrated microfluidic chips. We characterized the performance of the valves by measuring both the actuation pressure and flow resistance over a wide range of design parameters, and compared them to both finite element simulations and alternative valve geometries

Managerial challenges of publicly funded principal investigators

Principal investigators (PI) are at the nexus of university business collaborations through their leadership of funded research grants. In fulfilling their multiple roles, PIs are involved in a range of different activities, from direct scientific supervision of junior scientists, the organisation of new scientific avenues to engaging with industrial partners. With the increased impetus for public research to produce wealth through science commercialisation, research is increasingly orchestrated through programmes which seek to connect research avenues and markets. The role of PIs is of growing importance. The extent of managerial challenges encountered by scientists in the context of their PI role has not been the focus of any empirical studies. This paper examines the managerial challenges experienced by publicly funded PIs. Our study, set in the context of the Irish research system, found three foci of PI managerial challenges – project management, project adaptability and project network management

The pilot and evaluation of a postnatal support Group for Iraqi Women in the year following the birth of their baby

The current study involved conducting a pilot test of a culturally sensitive support group program developed to assist Iraqi women in the year following the birth of their baby (CSSG-B) in Perth, Western Australia. The aim of this study was to evaluate the social validity of the program. It was hypothesized that women involved in the program would find the program to be socially valid and culturally appropriate, and will also report lower levels of depressive symptomatology and higher levels of social support, following the group intervention. Participants were 12 Iraqi Arabic speaking women, who had a child less than 12 months of age. The program was based on Iraqi women's explanatory models (Kleinman, 1978; Di Ciano et al., 2010) of the birth and motherhood experience. Social validity ratings were obtained during the implementation of the program in order to assess the level of acceptability of the intervention. A one-group pre-test-post-test design was used to determine if depressive symptoms had decreased during the course of the intervention and social support had increased. Results indicated that Iraqi Arabic speaking women found the support group intervention acceptable and relevant and there was a significant decrease in scores on the Edinburgh Postnatal Depression Scale (EPDS) from pre-test to post-test. These results that the culturally sensitive group intervention was culturally acceptable and was associated with decreased levels of depressive symptomatology

Characterization of Retinal Structure in ATF6-Associated Achromatopsia.

PurposeMutations in six genes have been associated with achromatopsia (ACHM): CNGA3, CNGB3, PDE6H, PDE6C, GNAT2, and ATF6. ATF6 is the most recent gene to be identified, though thorough phenotyping of this genetic subtype is lacking. Here, we sought to test the hypothesis that ATF6-associated ACHM is a structurally distinct form of congenital ACHM.MethodsSeven genetically confirmed subjects from five nonconsanguineous families were recruited. Foveal hypoplasia and the integrity of the ellipsoid zone (EZ) band (a.k.a., IS/OS) were graded from optical coherence tomography (OCT) images. Images of the photoreceptor mosaic were acquired using confocal and nonconfocal split-detection adaptive optics scanning light ophthalmoscopy (AOSLO). Parafoveal cone and rod density values were calculated and compared to published normative data as well as data from two subjects harboring CNGA3 or CNGB3 mutations who were recruited for comparative purposes. Additionally, nonconfocal dark-field AOSLO images of the retinal pigment epithelium were obtained, with quantitative analysis performed in one subject with ATF6-ACHM.ResultsFoveal hypoplasia was observed in all subjects with ATF6 mutations. Absence of the EZ band within the foveal region (grade 3) or appearance of a hyporeflective zone (grade 4) was seen in all subjects with ATF6 using OCT. There was no evidence of remnant foveal cone structure using confocal AOSLO, although sporadic cone-like structures were seen in nonconfocal split-detection AOSLO. There was a lack of cone structure in the parafovea, in direct contrast to previous reports.ConclusionsOur data demonstrate a near absence of cone structure in subjects harboring ATF6 mutations. This implicates ATF6 as having a major role in cone development and suggests that at least a subset of subjects with ATF6-ACHM have markedly fewer cellular targets for cone-directed gene therapies than do subjects with CNGA3- or CNGB3-ACHM

Topological Phases in Graphitic Cones

The electronic structure of graphitic cones exhibits distinctive topological features associated with the apical disclinations. Aharonov-Bohm magnetoconductance oscillations (period Phi_0) are completely absent in rings fabricated from cones with a single pentagonal disclination. Close to the apex, the local density of states changes qualitatively, either developing a cusp which drops to zero at the Fermi energy, or forming a region of nonzero density across the Fermi energy, a local metalization of graphene.Comment: 4 pages, RevTeX 4, 3 PostScript figure

Spring bloom dynamics and zooplankton biomass response on the US Northeast Continental Shelf

This paper is not subject to U.S. copyright. The definitive version was published in Continental Shelf Research 102 (2015): 47-61, doi:10.1016/j.csr.2015.04.005.The spring phytoplankton bloom on the US Northeast Continental Shelf is a feature of the ecosystem production cycle that varies annually in timing, spatial extent, and magnitude. To quantify this variability, we analyzed remotely-sensed ocean color data at two spatial scales, one based on ecologically defined sub-units of the ecosystem (production units) and the other on a regular grid (0.5°). Five units were defined: Gulf of Maine East and West, Georges Bank, and Middle Atlantic Bight North and South. The units averaged 47×103 km2 in size. The initiation and termination of the spring bloom were determined using change-point analysis with constraints on what was identified as a bloom based on climatological bloom patterns. A discrete spring bloom was detected in most years over much of the western Gulf of Maine production unit. However, bloom frequency declined in the eastern Gulf of Maine and transitioned to frequencies as low as 50% along the southern flank of the Georges Bank production unit. Detectable spring blooms were episodic in the Middle Atlantic Bight production units. In the western Gulf of Maine, bloom duration was inversely related to bloom start day; thus, early blooms tended to be longer lasting and larger magnitude blooms. We view this as a phenological mismatch between bloom timing and the “top-down” grazing pressure that terminates a bloom. Estimates of secondary production were available from plankton surveys that provided spring indices of zooplankton biovolume. Winter chlorophyll biomass had little effect on spring zooplankton biovolume, whereas spring chlorophyll biomass had mixed effects on biovolume. There was evidence of a “bottom up” response seen on Georges Bank where spring zooplankton biovolume was positively correlated with the concentration of chlorophyll. However, in the western Gulf of Maine, biovolume was uncorrelated with chlorophyll concentration, but was positively correlated with bloom start and negatively correlated with magnitude. This observation is consistent with both a “top-down” mechanism of control of the bloom and a “bottom-up” effect of bloom timing on zooplankton grazing. Our inability to form a consistent model of these relationships across adjacent systems underscores the need for further research

CrossCheck:toward passive sensing and detection of mental health changes in people with schizophrenia

Early detection of mental health changes in individuals with serious mental illness is critical for effective intervention. CrossCheck is the first step towards the passive monitoring of mental health indicators in patients with schizophrenia and paves the way towards relapse prediction and early intervention. In this paper, we present initial results from an ongoing randomized control trial, where passive smartphone sensor data is collected from 21 outpatients with schizophrenia recently discharged from hospital over a period ranging from 2-8.5 months. Our results indicate that there are statistically significant associations between automatically tracked behavioral features related to sleep, mobility, conversations, smartphone usage and self-reported indicators of mental health in schizophrenia. Using these features we build inference models capable of accurately predicting aggregated scores of mental health indicators in schizophrenia with a mean error of 7.6% of the score range. Finally, we discuss results on the level of personalization that is needed to account for the known variations within people. We show that by leveraging knowledge from a population with schizophrenia, it is possible to train accurate personalized models that require fewer individual-specific data to quickly adapt to new user