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Anchorage, AK, United States

The University of Alaska Anchorage is a public research university located in Anchorage, Alaska. UAA also administers four community campuses spread across Southcentral Alaska. These include Kenai Peninsula College, Kodiak College, Matanuska–Susitna College, and Prince William Sound Community College. Between the community campuses and the main Anchorage campus, over 20,000 undergraduate, graduate, and professional students are currently enrolled at UAA. This makes it the largest institution of higher learning in the University of Alaska System, as well as the state.UAA's main campus is located approximately four miles southeast of its downtown area in the University-Medical District, adjacent to the Alaska Native Medical Center, Alaska Pacific University and Providence Alaska Medical Center. Nestled among an extensive green belt, close to scenic Goose Lake Park, UAA has been recognized each of the past three years as a Tree Campus USA by the Arbor Day Foundation. Much of the campus is connected by a network of paved, outdoor trails, as well as an elevated, indoor "spine" that extends east to west from Rasmuson Hall, continuing through the student union, and terminating inside the Consortium Library.UAA is divided into six teaching units at the Anchorage campus: the Colleges of Education, Health and Social Welfare, Arts and science, Business and Public Policy, the Community and Technical College, and the School of Engineering. UAA offers Master's Degrees and Graduate Certificates in select programs, and the ability to complete certain PhD programs through cooperating universities through its Graduate Division. As of May 2012, the university is accredited to confer doctoral degrees. UAA is accredited by the Northwest Commission on Colleges and Universities. Wikipedia.

Welker J.M.,University of Alaska Anchorage
Rapid Communications in Mass Spectrometry | Year: 2012

RATIONALE Isotope (δ18O and δ2H values) ratios in precipitation have been central to understanding changes in Earth's climate as recorded in ice, coral, speleothems, lake varves and long-lived plants. Understanding how climate phases (i.e. ENSO) affect the spatial and temporal patterns of δ18O and δ2H values in precipitation has, however, been uncertain across the USA. METHODS A spatial precipitation isotope network (USNIP) has been established that aims to: (1) characterize the δ18O, δ2H and d-excess values in precipitation across the USA with the highest spatially dense network of measurements yet undertaken; (2) quantify the annual and seasonal patterns of precipitation δ18O and δ2H values that may be affected by ENSO climate phases; and (3) provide a new isotope database for scientific studies that can be incorporated into NEON, BASIN, GNIP, and IsoMAP. RESULTS On average, precipitation δ18O and δ2H values are very low in the northern Rocky Mountain region (~ -15 ° δ18O, and ~ -120 ° δ2H), and precipitation δ18O and δ2H values are relatively higher along the Gulf Coast (~ -5 ° δ18O and -10 ° δ2H) and in the Southeast. During El Niño periods the precipitation δ18O and δ2H values are lowest in northwest Montana, with precipitation that is depleted in 18O and 2H extending into northern Colorado, while moisture that is enriched in 18O and 2H continues to dominate the Gulf Coast. The annual average differences between the climate phases generally show especially depleted 18O and 2H in precipitation across the Rocky Mountain region during El Niño, compared with Neutral periods. CONCLUSIONS Detailed spatial and seasonal patterns of δ18O, δ2H and d-excess values provide fine-scale resolution not previously recognized. Climate phases of ENSO have major effects on the spatial patterns of δ18O, δ2H and d-excess values, being especially important on a seasonal basis in the Desert Southwest. Copyright © 2012 John Wiley & Sons, Ltd.

The Arctic treeline is advancing in many areas and changes in carbon (C) cycling are anticipated. Differences in CO2 exchange between adjacent forest and tundra are not well known and contrasting conclusions have been drawn about the effects of forest advance on ecosystem C stocks. Measurements of CO2 exchange in tundra and adjacent forest showed the forest was a greater C sink during the growing season in northern Canada. There is, however, reason to expect that forests lose more C than tundra during the wintertime, as forests may accumulate and retain more snow. Deeper snow insulates the soil and warmer soils should lead to greater rates of belowground respiration and CO2 efflux. In this study, I tested the hypotheses that forests maintain a deeper snowpack, have warmer soils and lose more C during winter than adjacent tundra near the Arctic treeline in northwest Alaska. Measurements of snow depth, soil temperature and CO2 efflux were made at five forest and two treeline sites in late winter of three consecutive years. Snow depth and soil temperature were greater in forest than treeline sites, particularly in years with higher snowfall. There was a close exponential correlation between soil temperature and CO2 efflux across sites and years. The temperature-efflux model was driven using hourly soil temperatures from all the sites to provide a first approximation of the difference in winter C loss between treeline and forest sites. Results showed that greater wintertime C loss from forests could offset greater summertime C gain. © 2009 Springer Science+Business Media B.V.

Gonzalez V.M.,University of Alaska Anchorage
Psychology of Addictive Behaviors | Year: 2012

[Correction Notice: An Erratum for this article was reported in Vol 26(3) of Psychology of Addictive Behaviors (see record 2012-13892-001). In the article, there is an error in the introductory paragraph. The number of students who had seriously considered attempting suicide in the Barrios, Everett, Simon, & Brener (2000) study should have been reported as 11.4%, not 1.4%. Additionally, in the Participants section, data for the study were collected from March 2009 to September 2010, not March 2009 to January 2010 as reported.] Emerging adult college students who binge drink in solitary contexts (i.e., while alone) experience greater depression and suicidal ideation than do students who only binge drink in social contexts, suggesting that they may be at greater risk for suicidal behavior. This study examined the association of a previous suicide attempt, one of the best predictors of future suicide attempts and suicide, and severity of recent suicidal ideation with drinking in solitary and social contexts. Participants were binge drinking, emerging adult (18- to 25-year-old) college students (N = 182) drawn from two studies of college drinkers. A logistic regression analysis revealed that both suicide attempt history and severity of suicidal ideation were significantly associated with a greater likelihood of being a solitary binge drinker as opposed to only a social binge drinker. Students with a previous suicide attempt were nearly four times more likely to be solitary binge drinkers. Multiple regression analyses revealed that suicide attempt history was significantly associated with greater frequency and quantity of drinking in solitary, but not social contexts. Suicidal ideation was significantly associated with drinks per solitary drinking day, but not frequency of solitary drinking once suicide attempt history was accounted for. Given the associations found between solitary binge drinking and a history of suicide attempts, as well as greater severity of recent suicidal ideation, it appears that these students are in need of suicide prevention efforts, including treatment efforts aimed at reducing binge drinking. © 2012 American Psychological Association.

Lobontiu N.,University of Alaska Anchorage
Precision Engineering | Year: 2014

A matrix method is proposed to model the direct and inverse quasi-static response of constrained/over-constrained planar serial mechanisms with flexure hinges under bending, axial, and shear planar (three-dimensional) loading and small-deformations. The method uses a basic three-point compliance matrix corresponding to one rigid link and one adjacent flexure hinge that are subjected to one point load. This matrix connects the displacements at a point on the rigid link with the load that is applied at another point on it, and the deformations of the flexure hinge at its distal point. The quasi-static model of planar serial flexure-based mechanisms with multiple links under single/multiple point loading results from linearly superimposing all relevant hinge-link-load triads defined by their three-point matrices. A displacement-amplification planar device with right circularly corner-fileted flexure hinges is studied using several refinement stages of the matrix method to generate a model whose predictions are confirmed by finite element simulation. © 2014 Elsevier Inc.

Swift J.K.,University of Alaska Anchorage | Greenberg R.P.,New York University
Journal of Consulting and Clinical Psychology | Year: 2012

Objective: Premature discontinuation from therapy is a widespread problem that impedes the delivery of otherwise effective psychological interventions. The most recent comprehensive review found an average dropout rate of 47% across 125 studies (Wierzbicki & Pekarik, 1993); however, given a number of changes in the field over the past 2 decades, an updated meta-analysis is needed to examine the current phenomenon of therapy dropout. Method: A series of meta-analyses and meta-regressions were conducted in order to identify the rate at which treatment dropout occurs and predictors of its occurrence. This review included 669 studies representing 83,834 clients. Results: Averaging across studies using a random effects model, the weighted dropout rate was 19.7%, 95% CI [18.7%, 20.7%]. Further analyses, also using random effects models, indicated that the overall dropout rate was moderated by client diagnosis and age, provider experience level, setting for the intervention, definition of dropout, type of study (efficacy vs. effectiveness), and other design variables. Dropout was not moderated by orientation of therapy, whether treatment was provided in an individual or group format, and a number of client demographic variables. Conclusions: Although premature discontinuation is occurring at a lower rate than what was estimated 20 years ago (Wierzbicki & Pekarik, 1993), it is still a significant problem, with about 1 in every 5 clients dropping out of therapy. Special efforts should be made to decrease premature discontinuation, particularly with clients who are younger, have a personality or eating disorder diagnosis, and are seen by trainee clinicians. © 2012 American Psychological Association.

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