A near infrared Tully-Fisher survey behind the Galactic plane

This thesis presents a first look at the directly measured peculiar velocity low field within the Southern Zone of Avoidance. Large peculiar velocity surveys are hampered by the low detection rates and poor data quality of galaxies in the Zone of Avoidance (ZoA) where the obscuring effects of dust and stars in the Milky Way prevent the detection of galaxies across 10 - 20% of the sky. Moreover, dynamically significant structures lie hidden behind the Galactic plane. Dedicated surveys have been conducted to unveil the mass distribution within the ZoA. The ZoA peculiar velocity survey presented here makes use of deep systematic Hi survey data, new high resolution Hi observations and new deep near infrared (NIR) observations to provide high fidelity measurements for use with the NIR Tully-Fisher relation. Hi observations reveal galaxies where both optical and NIR surveys fail. The HIZOA deep Hi survey conducted at the 64m Parkes telescope revealed ~ 1 000 galaxies in the southern ZoA (Henning et al. 2005, Donley et al. 2005, Shafi 2008) . Accurate Hi linewidths are required for the measurement of Tully-Fisher distances. The fidelity of the Hi linewidths depends both on the velocity resolution and signal-to-noise ratio of the spectrum. New Hi data were therefore acquired at Parkes for 82 galaxies, providing a mean factor ~ 3:4 improvement in the fractional uncertainties in the 50% linewidth. A deep NIR follow-up survey of HIZOA galaxies within 6000 kms -1 was conducted using the 1:4m IRSF telescope using the SIRIUS camera for simultaneous imaging in the near infrared J, H and Ks bands. These deep, high resolution NIR observations are able to penetrate the dust and deblend foreground stars making it possible to detect the NIR counterparts for the Hi-detected galaxies. The survey images have an exposure time of 10 min resulting in a limiting magnitude approximately 2m deeper than the 2MASS survey and the SIRIUS camera has a 00:045 pix -1 pixel scale and 7:07 _ 7:07 field of view. The three-colour images were searched by eye for possible NIR-Hi counterparts resulting in a galaxy catalogue containing 567 galaxies in 422 fields. Of these fields the NIR counterparts were confirmed for 356 Hi galaxies. Algorithms for the subtraction of foreground stars were developed and used to obtain accurate surface photometry of each source. The NIR galaxy colours were used to investigate the nature of extinction in the ZoA. The results show that on average across the southern ZoA, the true extinction is 82% of the DIRBE/IRAS values provided by Schlegel et al. (1998). There is no significant variation in A preliminary peculiar velocity flowfield within the southern ZoA is derived by combining the Hi and NIR data. A strong flow towards the Great Attractor (GA) is observed. This flow field also shows possible indications of backside infall onto the GA, showing that the GA does indeed play an important role in the motion of the Local Group. The success of this study demonstrates the feasibility of further TF peculiar velocity studies in the ZoA, notably the extension of this survey to greater distances and an improved calibration of the TF relation for use in the ZoA

Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour : a systematic review

Background: Health and fitness applications (apps) have gained popularity in interventions to improve diet, physical activity and sedentary behaviours but their efficacy is unclear. This systematic review examined the efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour in children and adults. Methods: Systematic literature searches were conducted in five databases to identify papers published between 2006 and 2016. Studies were included if they used a smartphone app in an intervention to improve diet, physical activity and/or sedentary behaviour for prevention. Interventions could be stand-alone interventions using an app only, or multi-component interventions including an app as one of several intervention components. Outcomes measured were changes in the health behaviours and related health outcomes (i.e., fitness, body weight, blood pressure, glucose, cholesterol, quality of life). Study inclusion and methodological quality were independently assessed by two reviewers. Results: Twenty-seven studies were included, most were randomised controlled trials (n = 19; 70%). Twenty-three studies targeted adults (17 showed significant health improvements) and four studies targeted children (two demonstrated significant health improvements). Twenty-one studies targeted physical activity (14 showed significant health improvements), 13 studies targeted diet (seven showed significant health improvements) and five studies targeted sedentary behaviour (two showed significant health improvements). More studies (n = 12; 63%) of those reporting significant effects detected between-group improvements in the health behaviour or related health outcomes, whilst fewer studies (n = 8; 42%) reported significant within-group improvements. A larger proportion of multi-component interventions (8 out of 13; 62%) showed significant between-group improvements compared to stand-alone app interventions (5 out of 14; 36%). Eleven studies reported app usage statistics, and three of them demonstrated that higher app usage was associated with improved health outcomes. Conclusions: This review provided modest evidence that app-based interventions to improve diet, physical activity and sedentary behaviours can be effective. Multi-component interventions appear to be more effective than standalone app interventions, however, this remains to be confirmed in controlled trials. Future research is needed on the optimal number and combination of app features, behaviour change techniques, and level of participant contact needed to maximise user engagement and intervention efficacy

Interprofessional Education: Current State in Psychology Training

Healthcare reform has led to the consideration of interprofessional team-based, collaborative care as a way to provide comprehensive, high-quality care to patients and families. Interprofessional education is the mechanism by which the next generation health professional workforce is preparing for the future of health care-team-based, collaborative care. This literature review explored the extent and content of published studies documenting Interprofessional Education (IPE) activities with psychology trainees across learner level. A systematic review following PRISMA guidelines was conducted of studies describing IPE involving psychology learners. Electronic databases (MEDLINE, CINAHL, PsychINFO, and EMBASE) were searched for the following terms: inter/multi-professional education/practice, inter/multidisciplinary education/practice, and psychology/psychologists. Thirty-seven articles were identified that included psychology in clinical outcome studies or other reviews of interprofessional education initiatives. The review addresses the nature of current IPE learning activities, the impact of IPE activities on participating trainees, opportunities for, and challenges of, involving psychology trainees in IPE, and future directions for research. This review illuminates the relative paucity of the literature about IPE in psychology training. Given the trend toward increasing team-based collaborative care, the limited inclusion of psychology in the IPE literature is concerning. The next generation of health professional trainees is learning about, from, and with each other with the objective of building collaboration and teamwork. Given the few articles documenting psychology trainees\u27 involvement in IPE, future health professionals quite possibly will have limited understanding of, and contact with, psychologists. Our findings are a call to action for greater psychology involvement in IPE

Matching LOFAR sources across radio bands

Aims. With the recent preliminary release of the LOFAR LBA Sky Survey (LoLSS), the first wide-area, ultra-low frequency observations from LOFAR were published. Our aim is to combine this data set with other surveys at higher frequencies to study the spectral properties of a large sample of radio sources. Methods. We present a new cross-matching algorithm taking into account the sizes of the radio sources and apply it to the LoLSS-PR, LoTSS-DR1, LoTSS-DR2 (all LOFAR), TGSS-ADR1 (GMRT), WENSS (WSRT) and NVSS (VLA) catalogues. We then study the number of matched counterparts for LoLSS radio sources and their spectral properties. Results. We find counterparts for 22 607 (89.5%) LoLSS sources. The remaining 2 640 sources (10.5%) are identified either as an artefact in the LoLSS survey (3.6%) or flagged due to their closeness to bright sources (6.9%). We find an average spectral index of $\alpha = -0.77 \pm 0.18$ between LoLSS and NVSS. Between LoLSS and LoTSS-DR2 we find $\alpha = -0.71 \pm 0.31$. The average spectral index is flux density independent above $S_{54} = 181$ mJy. Comparison of the spectral slopes from LoLSS--LoTSS-DR2 with LoTSS-DR2--NVSS indicates that the probed population of radio sources exhibits evidence for a negative spectral curvature.Comment: 13 pages, 22 figures and 2 tables. Accepted for publication in A&

SIX1 Oncoprotein as a Biomarker in a Model of Hormonal Carcinogenesis and in Human Endometrial Cancer

The oncofetal protein sine oculis-related homeobox 1 (SIX1) is a developmental transcription factor associated with carcinogenesis in several human cancer types, but has not been investigated in human endometrial cancer. In a model of hormonal carcinogenesis, mice neonatally exposed to the soy phytoestrogen genistein (GEN) or the synthetic estrogen diethylstilbestrol (DES) develop endometrial cancer as adults. Previously, we demonstrated that SIX1 becomes aberrantly expressed in the uteri of these mice. Here we used this mouse model to investigate the role of SIX1 expression in endometrial carcinoma development and used human tissue microarrays to explore the utility of SIX1 as a biomarker in human endometrial cancer. In mice neonatally exposed to GEN or DES, the Six1 transcript level increased dramatically over time in uteri at 6, 12, and 18 months of age and was associated with development of endometrial carcinoma. SIX1 protein localized within abnormal basal cells and all atypical hyperplastic and neoplastic lesions. These findings indicate that developmental estrogenic chemical exposure induces persistent endometrial SIX1 expression that is strongly associated with abnormal cell differentiation and cancer development. In human endometrial tissue specimens, SIX1 was not present in normal endometrium but was expressed in a subset of endometrial cancers in patients who were also more likely to have late-stage disease. These findings identify SIX1 as a disease biomarker in a model of hormonal carcinogenesis and suggest that SIX1 plays a role in endometrial cancer development in both mice and women

Fragment-based discovery of a regulatory site in thioredoxin glutathione reductase acting as "doorstop" for NADPH entry

Members of the FAD/NAD-linked reductase family are recognized as crucial targets in drug development for cancers, inflammatory disorders, and infectious diseases. However, individual FAD/NAD reductases are difficult to inhibit in a selective manner with off target inhibition reducing usefulness of identified compounds. Thioredoxin glutathione reductase (TGR), a high molecular weight thioredoxin reductase-like enzyme, has emerged as a promising drug target for the treatment of schistosomiasis, a parasitosis afflicting more than 200 million people. Taking advantage of small molecules selected from a high-throughput screen and using X-ray crystallography, functional assays, and docking studies, we identify a critical secondary site of the enzyme. Compounds binding at this site interfere with well-known and conserved conformational changes associated with NADPH reduction, acting as a doorstop for cofactor entry. They selectivity inhibit TGR from Schistosoma mansoni and are active against parasites in culture. Since many members of the FAD/NAD-linked reductase family have similar catalytic mechanisms the unique mechanism of inhibition identified in this study for TGR broadly opens new routes to selectively inhibit homologous enzymes of central importance in numerous diseases

The XXL Survey: : XXIX. GMRT 610 MHz continuum observations

Accepted for publication in a forthcoming issue of Astronomy & Astrophysics. Reproduced with permission from Astronomy & Astrophysics. © 2018 ESO.We present the 25 square-degree GMRT-XXL-N 610 MHz radio continuum survey, conducted at 50 cm wavelength with the Giant Metrewave Radio Telescope (GMRT) towards the XXL Northern field (XXL-N). We combined previously published observations of the XMM-Large Scale Structure (XMM-LSS) field, located in the central part of XXL-N, with newly conducted observations towards the remaining XXL-N area, and imaged the combined data-set using the Source Peeling and Atmospheric Modeling (SPAM) pipeline. The final mosaic encompasses a total area of 30:4 square degrees, with rms <150 μJy beam -1 over 60% of the area. The rms achieved in the inner 9.6 square degree area, enclosing the XMM-LSS field, is about 200 μJy beam -1, while that over the outer 12.66 square degree area (which excludes the noisy edges) is about 45 μJy beam -1. The resolution of the final mosaic is 6.5 arcsec. We present a catalogue of 5434 sources detected at ≥7 × rms. We verify, and correct the reliability of, the catalog in terms of astrometry, flux, and false detection rate. Making use of the (to date) deepest radio continuum survey over a relatively large (2 square degree) field, complete at the flux levels probed by the GMRT-XXL-N survey, we also assess the survey's incompleteness as a function of flux density. The radio continuum sensitivity reached over a large field with a wealth of multi-wavelength data available makes the GMRTXXL- N 610 MHz survey an important asset for studying the physical properties, environments and cosmic evolution of radio sources, in particular radio-selected active galactic nuclei (AGN).Peer reviewedFinal Accepted Versio

Mediator complex component MED13 regulates zygotic genome activation and is required for postimplantation development in the mouse

Understanding factors that regulate zygotic genome activation (ZGA) is critical for determining how cells are reprogrammed to become totipotent or pluripotent. There is limited information regarding how this process occurs physiologically in early mammalian embryos. Here, we identify a mediator complex subunit, MED13, as translated during mouse oocyte maturation and transcribed early from the zygotic genome. Knockdown and conditional knockout approaches demonstrate that MED13 is essential for ZGA in the mouse, in part by regulating expression of the embryo-specific chromatin remodeling complex, esBAF. The role of MED13 in ZGA is mediated in part by interactions with E2F transcription factors. In addition to MED13, its paralog, MED13L, is required for successful preimplantation embryo development. MED13L partially compensates for loss of MED13 function in preimplantation knockout embryos, but postimplantation development is not rescued by MED13L. Our data demonstrate an essential role for MED13 in supporting chromatin reprogramming and directed transcription of essential genes during ZGA.Fil: Miao, Yi Liang. National Institutes of Health; Estados UnidosFil: Gambini, Andres. National Institutes of Health; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Zhang, Yingpei. National Institutes of Health; Estados UnidosFil: Padilla Banks, Elizabeth. National Institutes of Health; Estados UnidosFil: Jefferson, Wendy N.. National Institutes of Health; Estados UnidosFil: Bernhardt, Miranda L.. National Institutes of Health; Estados UnidosFil: Huang, Weichun. National Institutes of Health; Estados UnidosFil: Li, Leping. National Institutes of Health; Estados UnidosFil: Williams, Carmen J.. National Institutes of Health; Estados Unido

Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

Large scale structure and cosmolog