138 research outputs found

    Proceedings of the 23rd annual Central Plains irrigation conference

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    Presented at Proceedings of the 23rd annual Central Plains irrigation conference held in Burlington, Colorado on February 22-23, 2011

    Reducing the cost of pumping irrigation water

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    Irrigation accounts for a large portion of the energy used in Nebraska agriculture. The cost to pump irrigation water depends on the type of energy used to power the pumping unit. This document describes a method to estimate the cost of pumping water and to compare the amount of energy used to that for a well maintained and designed pumping plant. The results can help determine the feasibility of repairing the pumping plant

    Proceedings of the 21st annual Central Plains irrigation conference, Colby Kansas, February 24-25, 2009

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    Presented at the 21st annual Central Plains irrigation conference on February 24-25, 2009 in Colby, Kansas

    The Vehicle, Fall 1970

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    Vol. 13, No. 1 Table of Contents A Thought Written in a Locked RoomJudy Huntpage 1 The Eggshell MoonWilliam Probeckpage 2 PoemBarb Parkerpage 3 4/5, May, 1970J. Michael Sainpage 5 A TreeRichard Stickannpage 6 both or noneMichelle Hallpage 6 The TrainSteve Sestinapage 8 Attempted DiscoveryDonald R. Johnsonpage 16 Island of SmokeVerna L. Jonespage 18 AwakeRobert Bladepage 19 PoemMary Klinkerpage 19 In ChurchMuriel Poolpage 21 PoemBarb Parkerpage 21 PoemMichelle Hallpage 22 Pod\u27nerVerna L. Jonespage 23 Rain and Other ThingsCarol Staniecpage 24 PoemAnn Graffpage 24 Examination of StudentdomMelvin Zaloudekpage 26 Women\u27s LiberationTonya Mortonpage 27 Morning Reflections on the Evening NewsPrudence Herberpage 29 Art and Photography Credits Jim Diaspage 4 Mike Dorseypages 7, 20 David Griffithpages 8, 17, 25 Cover PhotographyMark McKinneyhttps://thekeep.eiu.edu/vehicle/1024/thumbnail.jp

    Analysis of Using the Total White Blood Cell Count to Define Severe New-onset Ulcerative Colitis in Children

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    Objectives: The aim of this study was to assess common laboratory tests in identifying severe ulcerative colitis in children at diagnosis. Methods: A cohort of 427 children 4 to 17 years of age newly diagnosed with ulcerative colitis (UC) was prospectively enrolled. Boosted classification trees were used to characterize predictive ability of disease attributes based on clinical disease severity using Pediatric Ulcerative Colitis Activity Index (PUCAI), severe (65+) versus not severe (<65) and total Mayo score, severe (10-12) versus not severe (<10); mucosal disease by Mayo endoscopic subscore, severe (3) versus not severe (<3); and extensive disease versus not extensive (left-sided and proctosigmoiditis). Results: Mean age was 12.7 years; 49.6% (n = 212) were girls, and 83% (n = 351) were Caucasian. Severe total Mayo score was present in 28% (n = 120), mean PUCAI score was 49.8 ± 20.1, and 33% (n = 142) had severe mucosal disease with extensive involvement in 82% (n = 353). Classification and regression trees identified white blood cell count, erythrocyte sedimentation rate, and platelet count (PLT) as the set of 3 best blood laboratory tests to predict disease extent and severity. For mucosal severity, albumin (Alb) replaced PLT. Classification models for PUCAI and total Mayo provided sensitivity of at least 0.65 using standard clinical cut-points with misclassification rates of approximately 30%. Conclusions: A combination of the white blood cell count, erythrocyte sedimentation rate, and either PLT or albumin is the best predictive subset of standard laboratory tests to identify severe from nonsevere clinical or mucosal disease at diagnosis in relation to objective clinical scores

    Examining the generalizability of research findings from archival data

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    This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability—for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples

    Modelling human choices: MADeM and decision‑making

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    Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)

    Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes

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    Background: Alzheimer's disease (AD) and bipolar disorder (BIP) are complex traits influenced by numerous common genetic variants, most of which remain to be detected. Clinical and epidemiological evidence suggest that AD and BIP are related. However, it is not established if this relation is of genetic origin. Here, we applied statistical methods based on the conditional false discovery rate (FDR) framework to detect genetic overlap between AD and BIP and utilized this overlap to increase the power to identify common genetic variants associated with either or both traits. Methods: We obtained genome wide association studies data from the International Genomics of Alzheimer's Project part 1 (17,008 AD cases and 37,154 controls) and the Psychiatric Genetic Consortium Bipolar Disorder Working Group (20,352 BIP cases and 31,358 controls). We used conditional QQ-plots to assess overlap in common genetic variants between AD and BIP. We exploited the genetic overlap to re-rank test-statistics for AD and BIP and improve detection of genetic variants using the conditional FDR framework. Results: Conditional QQ-plots demonstrated a polygenic overlap between AD and BIP. Using conditional FDR, we identified one novel genomic locus associated with AD, and nine novel loci associated with BIP. Further, we identified two novel loci jointly associated with AD and BIP implicating the MARK2 gene (lead SNP rs10792421, conjunctional FDR=0.030, same direction of effect) and the VAC14 gene (lead SNP rs11649476, conjunctional FDR=0.022, opposite direction of effect). Conclusions: We found polygenic overlap between AD and BIP and identified novel loci for each trait and two jointly associated loci. Further studies should examine if the shared loci implicating the MARK2 and VAC14 genes could explain parts of the shared and distinct features of AD and BIP
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