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Highlights: Housing First reports more service user recovery but little is known about how this is achieved.Certain features of homeless services are likely to promote service users' recovery.Housing First service users reported more choice, better housing quality, and more satisfaction.Service features predicted independent housing, psychiatric symptoms, and community integration.Across socio‐political and economic contexts, Housing First predicts greater recovery than traditional services. Across Europe, as governments turn to housing‐led strategies in attempts to reverse rising rates of homelessness, increasing numbers of Housing First (HF) programs are being implemented. As HF programs become more widespread, it is important to understand how service users experience them compared to the more prevalent traditional treatment‐first approach to addressing long‐term homelessness. Although there is a large body of research on service users' experiences of Housing First compared to treatment‐first in North American contexts, comparatively less is known about how these two categories of homeless services are experienced in the European context. In a correlational and cross‐sectional study, part of a larger examination of homelessness in Europe, participants (n = 520) engaged with either HF (n = 245) or traditional services (TS; n = 275) programs in seven countries completed measures of their experiences of services (consumer choice, housing quality, and service satisfaction) and recovery (time in independent housing, psychiatric symptoms, and community integration). Across the seven countries, participants engaged with HF programs reported experiencing more consumer choice, better perceived housing quality, and more satisfaction with services than participants engaged in TS programs. Participants in HF programs also reported a greater proportion of time in independent accommodation, fewer psychiatric symptoms, and more community integration. Varying patterns of association between experiences of services and recovery outcomes were observed. Findings indicate HF consistently predicts greater recovery than TS across diverse sociopolitical and economic contexts. Implications of findings for configurations of homeless services and homeless services policy are discussed. [ABSTRACT FROM AUTHOR]

Purpose: Multi‐exponential relaxometry is a powerful tool for characterizing tissue, but generally requires high image signal‐to‐noise ratio (SNR). This work evaluates the use of principal‐component‐analysis (PCA) denoising to mitigate these SNR demands and improve the precision of relaxometry measures. Methods: PCA denoising was evaluated using both simulated and experimental MRI data. Bi‐exponential transverse relaxation signals were simulated for a wide range of acquisition and sample parameters, and experimental data were acquired from three excised and fixed mouse brains. In both cases, standard relaxometry analysis was performed on both original and denoised image data, and resulting estimated signal parameters were compared. Results: Denoising reduced the root‐mean‐square‐error of parameters estimated from multi‐exponential relaxometry by factors of ≈3×, for typical acquisition and sample parameters. Denoised images and subsequent parameter maps showed little or no signs of spatial artifact or loss of resolution. Conclusion : Experimental studies and simulations demonstrate that PCA denoising of MRI relaxometry data is an effective method of improving parameter precision without sacrificing image resolution. This simple yet important processing step thus paves the way for broader applicability of multi‐exponential MRI relaxometry. [ABSTRACT FROM AUTHOR]

Purpose Myocardial effective relaxation time [ABSTRACT FROM AUTHOR]

First synthesis of the macrocycle cyclohexa(1,3- pyrenylene) is achieved in six steps starting with pyrene, leading to a non-aggregating highly twisted blue-light-emitting material. The cyclodehydrogenation of the macrocycle offers a promising synthesis route to holey-nanographene. [ABSTRACT FROM AUTHOR]

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