Psychological constructs in foreign policy prediction

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67914/2/10.1177_002200276701100304.pd

Comments on ‘output feedback adaptive command following and disturbance rejection for nonminimum phase uncertain dynamical systems’

We provide numerical examples and analysis to show that the adaptive controller given by Theorem 3.1 of Yucelen et al. 1 may fail to stabilize plants under the stated conditions. Copyright © 2011 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83465/1/1235_ftp.pd

A combined biomarker panel shows improved sensitivity for the early detection of ovarian cancer allowing the identification of the most aggressive Type II tumours.

Background: There is an urgent need for biomarkers for the early detection of ovarian cancer (OC). The purpose of this study was to assess whether changes in serum levels of lecithin-cholesterol acyltransferase (LCAT), sex hormone-binding globulin (SHBG), glucoseregulated protein, 78 kDa (GRP78), calprotectin and insulin-like growth factor-binding protein 2 (IGFBP2) are observed before clinical presentation and to assess the performance of these markers alone and in combination with CA125 for early detection. Methods: This nested case–control study used samples from the United Kingdom Collaborative Trial of Ovarian Cancer Screening trial. The sample set consisted of 482 serum samples from 49 OC subjects and 31 controls, with serial samples spanning up to 7 years pre-diagnosis. The set was divided into the following: (I) a discovery set, which included all women with only two samples from each woman, the first ato14 months and the second at 432 months to diagnosis; and (ii) a corroboration set, which included all the serial samples from the same women spanning the 7-year period. Lecithin-cholesterol acyltransferase, SHBG, GRP78, calprotectin and IGFBP2 were measured using ELISA. The performance of the markers to detect cancers pre-diagnosis was assessed. Results: A combined threshold model IGFBP2 478.5 ng ml 1 : LCAT o8.831 mg ml 1 : CA125 435 Uml 1 outperformed CA125 alone for the earlier detection of OC. The threshold model was able to identify the most aggressive Type II cancers. In addition, it increased the lead time by 5–6 months and identified 26% of Type I subjects and 13% of Type II subjects that were not identified by CA125 alone. Conclusions: Combined biomarker panels (IGFBP2, LCAT and CA125) outperformed CA125 up to 3 years pre-diagnosis, identifying cancers missed by CA125, providing increased diagnostic lead times for Type I and Type II OC. The model identified more aggressive Type II cancers, with women crossing the threshold dying earlier, indicating that these markers can improve on the sensitivity of CA125 alone for the early detection of OC

Appendix B. A summary of canopy accession strategies based on analyses of initial growth rates and identification of release events.

A summary of canopy accession strategies based on analyses of initial growth rates and identification of release events

Appendix A. Regression equations for predicting exposed crown area from tree diameter at breast height.

Regression equations for predicting exposed crown area from tree diameter at breast height

Appendix D. Disturbance events known to have affected portions of the Berkshire Hills and Taconic Mountains in which old-growth study areas are located.

Disturbance events known to have affected portions of the Berkshire Hills and Taconic Mountains in which old-growth study areas are located

Initial tree regeneration response to natural disturbance-based silviculture in second-growth northern hardwood forests

Northern hardwood stands in the Great Lakes region are often managed using single-tree selection, which generally favors regeneration of shade-tolerant species, especially sugar maple (Acer saccharum) Marsh.) and may reduce regeneration of midtolerant and shade-intolerant species. These forests also tend to have lower microsite diversity than old-growth stands, which may negatively affect the regeneration of light-seeded species, including yellow birch (Betula alleghaniensis Britton). The objective of this research was to determine the initial effects of gaps size and gap cleaning on tree regeneration in northern hardwood stands in northern Wisconsin, USA. The current study evaluated three gap sizes compared to a control. A gap-level cleaning treatment also examined effects of removal of advance regeneration and soil scarification. Post-harvest seedling densities, especially shade-tolerant species, increased with increasing gap size. Rubus spp. increased dramatically in the higher light conditions in these treatments. Density of yellow birch seedlings and saplings was low for all gap sizes but increased with removal of advance regeneration and soil scarification. These initial results underscore the challenges of using natural disturbance-based treatments to increase the diversity of tree communities in second-growth forests and the importance of advance regeneration and seedbed conditions for increasing the abundance of historically-important species.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Real-time monitoring of deadwood moisture in forests: lessons learned from an intensive case study

Attributes of deadwood in forests, including quantity, landscape position, and state of decay, influence numerous ecosystem processes such as wildfire behavior, tree regeneration, and nutrient cycling. Attributes of deadwood that vary over subdiurnal time steps, including moisture, have not been routinely measured despite the profound effects they have on ecosystem processes. To improve our understanding of forest deadwood subdiurnal moisture dynamics, we installed an intensive time-domain reflectometry (TDR) sensor network in a log and surrounding soil within a northern hardwood forest in New England, United States. Intensive monitoring during a partial growing season indicated that deadwood moisture was dynamic but similar to that of surrounding soils at 15-min intervals, especially during wetting and drying events. Field results and bench analysis of the sample log revealed numerous challenges when attempting to monitor deadwood moisture with TDR such as heterogeneous and (or) advanced decay confounding TDR moisture measurements in logs. An efficient, high-frequency TDR sensor network was demonstrated to record deadwood and soil moisture fluctuations, which provides an opportunity to refine our understanding of deadwood dynamics in the context of global change such as changing precipitation regimes.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author