421 research outputs found
The Flora of the Ledges Region of Boone County, Iowa
In the south-central part of Boone County is an area that possesses characteristic plants as well as peculiar geological and topographic features. This is located four miles directly south of Boone and extends for about two miles south toward and along the Des Moines River. Its name The Ledges is appropriate because of striking sandstone cliffs from ten to over forty feet in height, extending beyond the perpendicular in some cases as much as twelve feet. This ledge rock here comprises an island of younger massive sandstone surrounded unconformably by somewhat older Carboniferous layers, which are of different structure. The conditions peculiar to this restricted locality give the flora a distinctive character
Increasing Understanding in Children of Depressed Parents: Predictors and Moderators of Intervention Response
We evaluated predictors and moderators of differential response to two family-based depression prevention programs for families with a depressed parent: a clinician-facilitated intervention and a lecture group intervention. Individual and family level variables were examined using regression analyses with generalized estimating equations. For the outcome of child understanding of depression, parental changes in child-related behaviors and attitudes predicted greater child understanding ( < 0.001). For the parent outcome of behavior and attitude change, across intervention conditions, younger parent age ( < 0.05), female parent gender ( < 0.01), more chronic and severe parental depression history ( < 0.05), lower SES ( < 0.05), and single-parent status ( < 0.05) were associated with better outcomes across conditions. Effect sizes were moderate, ranging from 0.4 to 0.7 SD. Family and marital functioning were not found to be predictors of any outcomes. When both parents were depressed at baseline, there was no difference in the clinician-versus lecture-based approach, and when only the father was depressed, families reported more changes with the clinician condition than with the lecture condition ( < 0.05). Findings from this study can help identify intervention strategies that are appropriate for different types of at-risk individuals and families
Increasing Understanding in Children of Depressed Parents: Predictors and Moderators of Intervention Response
We evaluated predictors and moderators of differential response to two family-based depression prevention programs for families with a depressed parent: a clinician-facilitated intervention and a lecture group intervention. Individual and family level variables were examined using regression analyses with generalized estimating equations. For the outcome of child understanding of depression, parental changes in child-related behaviors and attitudes predicted greater child understanding (p<0.001). For the parent outcome of behavior and attitude change, across intervention conditions, younger parent age (p<0.05), female parent gender (p<0.01), more chronic and severe parental depression history (p<0.05), lower SES (p<0.05), and single-parent status (p<0.05) were associated with better outcomes across conditions. Effect sizes were moderate, ranging from 0.4 to 0.7 SD. Family and marital functioning were not found to be predictors of any outcomes. When both parents were depressed at baseline, there was no difference in the clinician- versus lecture-based approach, and when only the father was depressed, families reported more changes with the clinician condition than with the lecture condition (p<0.05). Findings from this study can help identify intervention strategies that are appropriate for different types of at-risk individuals and families
Dynamic Monte Carlo Measurement of Critical Exponents
Based on the scaling relation for the dynamics at the early time, a new
method is proposed to measure both the static and dynamic critical exponents.
The method is applied to the two dimensional Ising model. The results are in
good agreement with the existing results. Since the measurement is carried out
in the initial stage of the relaxation process starting from independent
initial configurations, our method is efficient.Comment: (5 pages, 1 figure) Siegen Si-94-1
The Fermi GBM Gamma-Ray Burst Spectral Catalog: Four Years Of Data
In this catalog we present the updated set of spectral analyses of GRBs
detected by the Fermi Gamma-Ray Burst Monitor (GBM) during its first four years
of operation. It contains two types of spectra, time-integrated spectral fits
and spectral fits at the brightest time bin, from 943 triggered GRBs. Four
different spectral models were fitted to the data, resulting in a compendium of
more than 7500 spectra. The analysis was performed similarly, but not
identically to Goldstein et al. 2012. All 487 GRBs from the first two years
have been re-fitted using the same methodology as that of the 456 GRBs in years
three and four. We describe, in detail, our procedure and criteria for the
analysis, and present the results in the form of parameter distributions both
for the observer-frame and rest-frame quantities. The data files containing the
complete results are available from the High-Energy Astrophysics Science
Archive Research Center (HEASARC).Comment: Accepted for publication in ApJ
Finite Size Scaling and Critical Exponents in Critical Relaxation
We simulate the critical relaxation process of the two-dimensional Ising
model with the initial state both completely disordered or completely ordered.
Results of a new method to measure both the dynamic and static critical
exponents are reported, based on the finite size scaling for the dynamics at
the early time. From the time-dependent Binder cumulant, the dynamical exponent
is extracted independently, while the static exponents and
are obtained from the time evolution of the magnetization and its higher
moments.Comment: 24 pages, LaTeX, 10 figure
Development of a technology-based behavioral vaccine to prevent adolescent depression: A health system integration model
Efforts to prevent depression have become a key health system priority. Currently, there is a high prevalence of depression among adolescents, and treatment has become costly due to the recurrence patterns of the illness, impairment among patients, and the complex factors needed for a treatment to be effective. Primary care may be the optimal location to identify those at risk by offering an Internet-based preventive intervention to reduce costs and improve outcomes. Few practical interventions have been developed. The models for Internet intervention development that have been put forward focus primarily on the Internet component rather than how the program fits within a broader context. This paper describes the conceptualization for developing technology based preventive models for primary care by integrating the components within a behavioral vaccine framework. CATCH-IT (Competent Adulthood Transition with Cognitive-behavioral, Humanistic and Interpersonal Training) has been developed and successfully implemented within various health systems over a period of 14 years among adolescents and young adults aged 13–24.☆☆Disclosures: Benjamin W. Van Voorhees has served as a consultant to Prevail Health Solutions, Inc., Mevident Inc., San Francisco and Social Kinetics, Palo Alto, CA, and the Hong Kong University to develop Internet-based interventions. In order to facilitate dissemination, the University of Chicago agreed to grant a no-cost license to Mevident Incorporated (3/5/2010) to develop a school-based version. Neither Dr. Van Voorhees nor the university will receive any royalties or equity. Dr. Van Voorhees agreed to assist the company in adapting the intervention at the rate of $1000/day for 5.5 days. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).*Corresponding author at: Department of Pediatrics, University of Illinois at Chicago, Children\u27s Hospital, University of Illinois Hospital & Health Sciences System, 840 South Wood Street (MC 856), Chicago, IL 60612-7324. HHS Public Access Author manuscript Internet Interv. Author manuscript; available in PMC 2018 November 21. Published in final edited form as: Internet Interv. 2015 September ; 2(3): 303–313. doi:10.1016/j.invent.2015.07.004. Autho
White paper on nuclear astrophysics and low energy nuclear physics Part 1: Nuclear astrophysics
This white paper informs the nuclear astrophysics community and funding agencies about the scientific directions and priorities of the field and provides input from this community for the 2015 Nuclear Science Long Range Plan. It summarizes the outcome of the nuclear astrophysics town meeting that was held on August 21–23, 2014 in College Station at the campus of Texas A&M University in preparation of the NSAC Nuclear Science Long Range Plan. It also reflects the outcome of an earlier town meeting of the nuclear astrophysics community organized by the Joint Institute for Nuclear Astrophysics (JINA) on October 9–10, 2012 Detroit, Michigan, with the purpose of developing a vision for nuclear astrophysics in light of the recent NRC decadal surveys in nuclear physics (NP2010) and astronomy (ASTRO2010). The white paper is furthermore informed by the town meeting of the Association of Research at University Nuclear Accelerators (ARUNA) that took place at the University of Notre Dame on June 12–13, 2014. In summary we find that nuclear astrophysics is a modern and vibrant field addressing fundamental science questions at the intersection of nuclear physics and astrophysics. These questions relate to the origin of the elements, the nuclear engines that drive life and death of stars, and the properties of dense matter. A broad range of nuclear accelerator facilities, astronomical observatories, theory efforts, and computational capabilities are needed. With the developments outlined in this white paper, answers to long standing key questions are well within reach in the coming decade
Association Between Response to Etrolizumab and Expression of Integrin αE and Granzyme A in Colon Biopsies of Patients With Ulcerative Colitis
Background & AimsEtrolizumab is a humanized monoclonal antibody against the β7 integrin subunit that has shown efficacy vs placebo in patients with moderate to severely active ulcerative colitis (UC). Patients with colon tissues that expressed high levels of the integrin αE gene (ITGAE) appeared to have the best response. We compared differences in colonic expression of ITGAE and other genes between patients who achieved clinical remission with etrolizumab vs those who did.MethodsWe performed a retrospective analysis of data collected from 110 patients with UC who participated in a phase 2 placebo-controlled trial of etrolizumab, as well as from 21 patients with UC or without inflammatory bowel disease (controls) enrolled in an observational study at a separate site. Colon biopsies were collected from patients in both studies and analyzed by immunohistochemistry and gene expression profiling. Mononuclear cells were isolated and analyzed by flow cytometry. We identified biomarkers associated with response to etrolizumab. In the placebo-controlled trial, clinical remission was defined as total Mayo Clinic Score ≤2, with no individual subscore >1, and mucosal healing was defined as endoscopic score ≤1.ResultsColon tissues collected at baseline from patients who had a clinical response to etrolizumab expressed higher levels of T-cell−associated genes than patients who did not respond (P < .05). Colonic CD4+ integrin αE+ cells from patients with UC expressed higher levels of granzyme A messenger RNA (GZMA mRNA) than CD4+ αE− cells (P < .0001); granzyme A and integrin αE protein were detected in the same cells. Of patients receiving 100 mg etrolizumab, a higher proportion of those with high levels of GZMA mRNA (41%) or ITGAE mRNA (38%) than those with low levels of GZMA (6%) or ITGAE mRNA (13%) achieved clinical remission (P < .05) and mucosal healing (41% GZMAhigh vs 19% GZMAlow and 44% ITGAEhigh vs 19% ITGAElow). Compared with ITGAElow and GZMAlow patients, patients with ITGAEhigh and GZMAhigh had higher baseline numbers of epithelial crypt-associated integrin αE+ cells (P < .01 for both), but a smaller number of crypt-associated integrin αE+ cells after etrolizumab treatment (P < .05 for both). After 10 weeks of etrolizumab treatment, expression of genes associated with T-cell activation and genes encoding inflammatory cytokines decreased by 40%−80% from baseline (P < .05) in patients with colon tissues expressing high levels of GZMA at baseline.ConclusionsLevels of GZMA and ITGAE mRNAs in colon tissues can identify patients with UC who are most likely to benefit from etrolizumab; expression levels decrease with etrolizumab administration in biomarkerhigh patients. Larger, prospective studies of markers are needed to assess their clinical value
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