Attributional style of African-American adolescents

This study ascertains how positive and negative life events are viewed by stigmatized youngsters. The causal attributions of a sample of 139 at -risk AfricanAmerican adolescents are analyzed in a doubly multivariate repeated measures design. These students were participants in either the federally funded Summer Training and Education Program or the Student Academic and Leadership Enhancement Program funded by the Detroit Compact. Previous research on these students indicated that they have higher than norm global self-concepts and their locus of control is more external than would be expected for their age. The findings of the current study suggest that the attributions these youngsters ascribed to positive events were significantly more internal, stable, and global than the attributions for negative events. An ancillary outcome of this study is to report psychometric information regarding the use of The Attributional Style Questionnaire

The Effects of Stress on the Lives of Emerging Adult College Students: An Exploratory Analysis

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113775/1/adsp12007.pd

Ethnic Identity Among Arab Americans: An Examination of Contextual Influences and Psychological Well-Being

Existing theories and research have indicated that ethnic identity is crucial for ethnic minority young adults because ethnicity is an important component of their personal identity that is likely to influence various aspects of their development. Given the centrality of this construct, the overarching aim of the present study was to examine ethnic identity and psychological well-being among members of an ethnic group that have long been ignored in the psychological literature: Arab Americans. Specifically, the goals of the study were threefold. The first goal was to examine the association between multiple contextual factors (such as students’ perceptions of their parents’ style of parenting, family ethnic socialization, perceived discrimination, and generational status) and ethnic identity. The second goal was to explore the potential role of ethnic identity to promote psychological adjustment and well-being: self-esteem and depressive symptoms are indices of psychological functioning that were examined in the study. The final goal of the study was to examine whether ethnic identity can serve as a protective factor, mitigating the negative effects of discrimination on psychological well-being. Methods: Participants (N= 323) were recruited through advertisements and flyers placed on bulletin boards across the Wayne State University (WSU) campus and through announcements placed on WSU pipeline and on the Arab American Student Association as well as the Egyptian Student Association Facebook pages. All flyers included the online study website (surveymonkey.com) to allow students to access the survey and complete it. Inclusion criteria for participants were: being between the ages of 18 and 25 years, of Arab or Middle Eastern descent, living in the United States, and registered as a full-time or part-time student at Wayne State University. The survey consisted of a package of 7 batteries: Demographic Questionnaire, Familial Ethnic Socialization Measure (FESM), Parental Authority Questionnaire (PAQ), Perceived Ethnic Discrimination Questionnaire (PEDQ), Multigroup Ethnic Identity Measure (MEIM), Rosenberg Self-Esteem Scale (RSES), and Center for Epidemiologic Studies – Depression Scale (CES-D Scale). Results: Pearson correlation analyses revealed that higher family ethnic socialization, authoritative parenting, authoritarian parenting, and lower generational status were all significantly associated with higher ethnic identity (r= .55, r=.51, r= .16, r=-.19, respectively). Further mediation analyses revealed that the relation between generational status and ethnic identity was fully mediated by family ethnic socialization. With respect to the relation between ethnic identity, perceived discrimination, and psychological well-being, results from the correlational analyses revealed that higher ethnic identity was associated with higher self-esteem (r = .45, p \u3c .01) and lower depressive symptoms (r = -.23, p \u3c .01) whereas perceived discrimination was associated with lower self-esteem (r = -.33, p \u3c .01) and higher depressive symptoms (r = .49, p \u3c .01). Finally, with respect to the potential protective role of ethnic identity, hierarchical multiple regression analyses revealed that ethnic identity moderated the relationship between perceived discrimination and psychological well-being. Specifically, perceived ethnic discrimination was negatively associated with self-esteem among participants with high ethnic identity; however, this relationship was even stronger among participants with low ethnic identity. Similarly, perceived ethnic discrimination was positively associated with depressive symptoms among participants with high ethnic identity; however, this relationship was even stronger among participants with low ethnic identity. Discussion: Our findings suggest that ethnic discrimination takes a toll on Arab American young adults, but, for this population, having a salient ethnic identity may have profound mental health benefits as ethnic identity may serve as valuable resource to help them deal with negative discriminatory experiences

A Common Variant at the 14q32 Endometrial Cancer Risk Locus Activates AKT1 through YY1 Binding.

A recent meta-analysis of multiple genome-wide association and follow-up endometrial cancer case-control datasets identified a novel genetic risk locus for this disease at chromosome 14q32.33. To prioritize the functional SNP(s) and target gene(s) at this locus, we employed an in silico fine-mapping approach using genotyped and imputed SNP data for 6,608 endometrial cancer cases and 37,925 controls of European ancestry. Association and functional analyses provide evidence that the best candidate causal SNP is rs2494737. Multiple experimental analyses show that SNP rs2494737 maps to a silencer element located within AKT1, a member of the PI3K/AKT/MTOR intracellular signaling pathway activated in endometrial tumors. The rs2494737 risk A allele creates a YY1 transcription factor-binding site and abrogates the silencer activity in luciferase assays, an effect mimicked by transfection of YY1 siRNA. Our findings suggest YY1 is a positive regulator of AKT1, mediating the stimulatory effects of rs2494737 increasing endometrial cancer risk. Identification of an endometrial cancer risk allele within a member of the PI3K/AKT signaling pathway, more commonly activated in tumors by somatic alterations, raises the possibility that well tolerated inhibitors targeting this pathway could be candidates for evaluation as chemopreventive agents in individuals at high risk of developing endometrial cancer.The QIMR Berghofer groups were supported by a Rio Tinto Ride to Conquer Cancer (RTCC)/Weekend to End Women's Cancers (WEWC) Grant and NHMRC project grants 1058415 to SLE and 1031333 to ABS. ABS is supported by an NHMRC Senior Research Fellowship (1061779). DFE is a Principal Research Fellow of CR-UK.This is the author accepted manuscript. It is currently under an indefinite embargo pending publication by Cell Press

Estimation of returning Atlantic salmon st oc k from rod exploitation r at e f or pr incipal salmon r ivers in England & Wales

F or eff ective fishery management, estimated stock sizes, along with their uncertainties, should be accurate, precise, and unbiased. Atlantic salmon Salmo salar stock assessment in England and Wales (and elsewhere across the Atlantic) estimate returning salmon stocks by applying a measure of rod exploitation rate (RER), derived from less abundant fishery-independent stock estimates, to abundant fishery-dependent data. Currently, RER estimates are generated for individual principal salmon rivers based on a v ailable local data and assumptions. We propose a single, consistent, transparent, and statistically robust method to estimate salmon stocks that transfers strength of information from "data-rich"rivers, i.e. those with fisheries-independent data, to "data-poor"rivers without such data. We proposed, fitted, simplified, and then validated a Beta-Binomial model of RER, including co v ariates representing angler and fish beha viours, riv er flo w, and random effects to control for nuisance effects. Our "best"model re v ealed co v ariate effects in line with our h ypotheses and generaliz ed to data not used to train it. We used this model to extrapolate stock estimates from 12 data-rich to 52 data-poor rivers, together with their uncertainties. The resulting river-specific salmon stock estimates were judged to be useful and can be used as key inputs to river-specific, national, and international salmon stock assessments

Regionally consistent Western North America paleomagnetic directions from 15 to 35 ka: Assessing chronology and uncertainty with paleosecular variation (PSV) stratigraphy

New Paleomagnetic Secular Variation (PSV) data from Fish Lake, Utah, USA, along with previously published regional records, allow us to build an independently dated Western North America PSV stack (WNAM17) from about 35 to 15 ka that quantifies dating and paleomagnetic uncertainties. In February 2014, we recovered a composite 11-m-long sediment record from Fish Lake, Utah that retrieved glacially influenced and post-glacial sediments. Computed tomography (CT) scans and magnetic susceptibility were used to build a precise depth scale, while radiocarbon dating of terrestrial macrofossils and tephrostratigraphy provide tight age-control. Glacially influenced sediments have well-defined characteristic remanent magnetizations with all maximum angular deviation values < 5 degrees, resolving a record of Late Pleistocene PSV. Comparison to the PSV records at Bear Lake, Utah/Idaho, USA and Bessette Creak, British Columbia, Canada, which also contain terrestrial material radiocarbon age-control points, allow us to develop the WNAM17 PSV stack which considers both dating and magnetic acquisition uncertainties. We utilize a regional PSV chronostratigraphic modeling approach to assign chronology and uncertainty to the PSV signal and to evaluate the fidelity of age-control points at the site level that are difficult to objectively evaluate otherwise. The greatest strength of our age-depth model is that by approaching chronostratigraphy from a regional perspective, assuming a common geomagnetic signal, we can address sources of geologic uncertainty that would be difficult to quantify using only one site. We illustrate the potential stratigraphic opportunities using the WNAM17 PSV template through assessing the timing of paleoenvironmental and paleomagnetic events in Western North America, including the timing of glaciations in the Fish Lake and Bear Lake catchments and the stratigraphic context for the Late Pleistocene geomagnetic excursion recorded at Mono Lake. (C) 2018 Elsevier Ltd. All rights reserved

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes

The Human Connectome Project's neuroimaging approach

Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous methodological advances have also occurred, though inertia has slowed their adoption. This paper presents an integrated approach to data acquisition, analysis and sharing that builds upon recent advances, particularly from the Human Connectome Project (HCP). The 'HCP-style' paradigm has seven core tenets: (i) collect multimodal imaging data from many subjects; (ii) acquire data at high spatial and temporal resolution; (iii) preprocess data to minimize distortions, blurring and temporal artifacts; (iv) represent data using the natural geometry of cortical and subcortical structures; (v) accurately align corresponding brain areas across subjects and studies; (vi) analyze data using neurobiologically accurate brain parcellations; and (vii) share published data via user-friendly databases. We illustrate the HCP-style paradigm using existing HCP data sets and provide guidance for future research. Widespread adoption of this paradigm should accelerate progress in understanding the brain in health and disease

Application of In Vivo Induced Antigen Technology (IVIAT) to Bacillus anthracis

In vivo induced antigen technology (IVIAT) is an immuno-screening technique that identifies bacterial antigens expressed during infection and not during standard in vitro culturing conditions. We applied IVIAT to Bacillus anthracis and identified PagA, seven members of a N-acetylmuramoyl-L-alanine amidase autolysin family, three P60 family lipoproteins, two transporters, spore cortex lytic protein SleB, a penicillin binding protein, a putative prophage holin, respiratory nitrate reductase NarG, and three proteins of unknown function. Using quantitative real-time PCR comparing RNA isolated from in vitro cultured B. anthracis to RNA isolated from BALB/c mice infected with virulent Ames strain B. anthracis, we confirmed induced expression in vivo for a subset of B. anthracis genes identified by IVIAT, including L-alanine amidases BA3767, BA4073, and amiA (pXO2-42); the bacteriophage holin gene BA4074; and pagA (pXO1-110). The exogenous addition of two purified putative autolysins identified by IVIAT, N-acetylmuramoyl-L-alanine amidases BA0485 and BA2446, to vegetative B. anthracis cell suspensions induced a species-specific change in bacterial morphology and reduction in viable bacterial cells. Many of the proteins identified in our screen are predicted to affect peptidoglycan re-modeling, and our results support significant cell wall structural remodeling activity during B. anthracis infection. Identification of L-alanine amidases with B. anthracis specificity may suggest new potential therapeutic targets