Queixa subjetiva de comprometimento da memória em idosos saudáveis: influência de sintomas depressivos, percepção de estresse e autoestima

O presente estudo analisou a relação entre percepção de estresse, sintomas depressivos e autoestima em idosos com e sem queixa subjetiva de comprometimento de memória. Foram incluídos 204 idosos (104 sem e 100 com queixa de memória) avaliados a partir do instrumento Memory Assessment Complain Questionnaire (MAC-Q). O protocolo de estudo incluiu a Escala de Estresse Percebido (EEP), a Escala de Depressão Geriátrica (GDS) e a Escala de Autoestima de Rosenberg (EAE). Os idosos com queixa de comprometimento apresentaram escores significativamente maiores na EEP e GDS e menores na EAE (p < 0.001). Foi observada correlação negativa entre o escore do MAC-Q e EPP (p < 0.001) e EAE (p = 0.01). A análise de regressão multivariada identificou somente o estresse como fator preditor da queixa subjetiva de memória. Esses dados sugerem que a percepção de estresse e os sintomas depressivos estão associados com a queixa de memória em idosos.

Generation of the Cape Ghir upwelling filament: a numerical study

[EN] Filaments are narrow, shallow structures of cool water originating from the coast. They are typical features of the four main eastern boundary upwelling systems (EBUS). In spite of their significant biological and chemical roles, through the offshore exportation of nutrient-rich waters, the physical processes that generate them are still not completely understood. This paper is a process-oriented study of filament generation mechanisms. Our goal is twofold: firstly, to obtain a numerical solution able to well represent the characteristics of the filament off Cape Ghir (30°38'N, northwestern Africa) in the Canary EBUS and secondly, to explain its formation by a simple mechanism based on the balance of potential vorticity. The first goal is achieved by the use of the ROMS model (Regional Ocean Modeling System) in embedded domains around Cape Ghir, with a horizontal resolution going up to 1.5 km for the finest domain. The latter gets its initial and boundary conditions from a parent solution and is forced by climatological, high-resolution atmospheric fields. The modeled filaments display spatial, temporal and physical characteristics in agreement with the available in situ and satellite observations. This model solution is used as a reference to compare the results with a set of process-oriented experiments. These experiments allow us to reach the second objective. Their respective solution serves to highlight the contribution of various processes in the filament generation. Since the study is focused on general processes present under climatological forcing conditions, inter-annual forcing is not necessary. The underlying idea for the filament generation is the balance of potential vorticity in the Canary EBUS: the upwelling jet is characterized by negative relative vorticity and flows southward along a narrow band of uniform potential vorticity. In the vicinity of the cape, an injection of relative vorticity induced by the wind breaks the existing vorticity balance. The upwelling jet is prevented from continuing its way southward and has to turn offshore to follow lines of equal potential vorticity. The model results highlight the essential role of wind, associated with the particular topography (coastline and bottom) around the cape. The mechanism presented here is general and thus can be applied to other EBUS.

1883 University of Michigan Football Team

Instruction chrétienne sur la dévotion a la Sainte Vierge /

"Pratiques et prieres pour honorer particulierment la sainte virge marie", 36 p.

School of Nursing Class of 1991

Top Row: Lisa A. Anton, Karen M. Banish, Sherry L. Bendele, Lori Bishop, Rossana Biundo, Jennifer Brooks, Stefanie J. Brown, Kimberly J. Coleman, Christine M. Decker, Mary Jo Diebold, Molly Donohue, Mary C. Dubois, Meggan C. Ebert

Row 2: Michelle Fox, Ann Marie Gergely, Nina N. Giglio, Stephen Gniewek, Jennifer K. Gollon, Laura E. Gregorius, Shiree A. Hamilton, Corinne R. Hardecki, Yoline M. Hargrave, Raina C. Hartitz, Dana M. Hocking, Andrea E. Jarrett

Row 3: Nancy Johnson, Harjot Kaur, Doreen M. Kinney, Kristine Boyle, Michele Phillips, Anthony Stewart, Pamela Blumson, Lisa Rudin, Lisa Eby, Christina Koehlmann, Julie A. Kolar, Shelly M. Kraiza

Row 4: Cindy Kvarnberg, Beth Anne Lannan, Martha Lasley, James A. Lowery

Row 5: Eileen M. Lucier, Anne Marie Lutostanski, Crystal Tchoryk, Kathy Kline, Donna L. Marshall, Mary C. Maxim

Row 6: Melinda J. Mc Calla, Carolyn Mclean, Molly B. Meyersohn, Christine L. Nersesian, Ann-Marie Nosotti

Row 7: Darlene D. Osemlak, Francine D. Paglia, Danee L. Paullin, Shake Ketefian, Janice B. Lindberg, Rhetaugh G. Dumas, Violet Barkauskas, Beverly Jones, Elisabeth Pennington, Jill L. Pierpont, Marie E. Rosenburg, Rebecca L. Rotole

Row 8: Carla D. Rouse, Merilynne H. Rush, Bernadette Michelle Santos, Stephanie A. Schaltz, Colleen M. Seastrom, Anita M. Shedlock, Judith A. Skonieczny, Alice Skumautz, Nancy A. Standler, Kristine Stoetzer, Annaflor O. Suan, Lynn E. Taylo

Row 9: Renee M. Thibodeau, Kirsten M. Thornquist, Lisa A. Treash, Lisa Marie Warriner, Miriam Beth Weiner, Teresa Wen, Martha Hill Wenzler, Melissa K. White, Denise M. Williams, Christina L. Wroubel, Jamie K. Yeulett, Sarah Jo York, Jennifer Zolinski

1963 UM Track Team

Back Row: James Austin, Norman Kohns, Fred Lambert, Kent Bernard, Dan Hughes, Desmond Ryan, Tom Sweeney.

3rd Row; asst. coach Elmer Swanson, Joel Mason, Edmund Hinkson, Dave Romain, Al Ammerman, Dave Hayes, Mac Hunter, Dorr Casto.

2nd Row: George Wade, George Puce, Cliff Nuttall, Ernest Soudek, Ted Kelly, Chris Murray, Ken Burnley.

Front Row: Charles Feltz, Carter Rees, Roger Schmitt, Coach Don Canham, captain Charles Aquino, Steve Overton, Jim Neahusan.

UM Women's Soccer Team, 1998

Front Row: Nancy Mather, Shannon Poole, Amber Berendowsky, Stephanie McArdle, Kristin Buckley, Mari Hoff, Carrie Brady, Laurie Peterson, Jen Stahl.

Back Row: Debbie Belkin - head coach, Scott Forrester - assistant coach, Kerry Hood, Jessica Parmalee, Bethany Greenblatt, Jessica Limauro, Kacy Beitel, Marie Spaccarotella,

Histoire de mon temps. Mémoires du chancelier Pasquier

1. ptie. Révolution--consulat--empire: t. 1. 1789-1810.--t. 2. 1812-1814.--t.3. 1814-1815. 2. ptie. Restauration: t.4 1815-1820.--t. 5. 1820-1824.--t. 6. 1824-1830.

Histoire de la France contemporaine (1871-1900).

No more published.

An Empirically Based Stochastic Turbulence Simulator with Temporal Coherence for Wind Energy Applications

In this dissertation, we develop a novel methodology for characterizing and simulating nonstationary, full-field, stochastic turbulent wind fields.

In this new method, nonstationarity is characterized and modeled via temporal coherence, which is quantified in the discrete frequency domain by probability distributions of the differences in phase between adjacent Fourier components.

The empirical distributions of the phase differences can also be extracted from measured data, and the resulting temporal coherence parameters can quantify the occurrence of nonstationarity in empirical wind data.

This dissertation (1) implements temporal coherence in a desktop turbulence simulator, (2) calibrates empirical temporal coherence models for four wind datasets, and (3) quantifies the increase in lifetime wind turbine loads caused by temporal coherence.

The four wind datasets were intentionally chosen from locations around the world so that they had significantly different ambient atmospheric conditions.

The prevalence of temporal coherence and its relationship to other standard wind parameters was modeled through empirical joint distributions (EJDs), which involved fitting marginal distributions and calculating correlations.

EJDs have the added benefit of being able to generate samples of wind parameters that reflect the characteristics of a particular site.

Lastly, to characterize the effect of temporal coherence on design loads, we created four models in the open-source wind turbine simulator FAST based on the \windpact turbines, fit response surfaces to them, and used the response surfaces to calculate lifetime turbine responses to wind fields simulated with and without temporal coherence.

The training data for the response surfaces was generated from exhaustive FAST simulations that were run on the high-performance computing (HPC) facilities at the National Renewable Energy Laboratory.

This process was repeated for wind field parameters drawn from the empirical distributions and for wind samples drawn using the recommended procedure in the wind turbine design standard \iec.

The effect of temporal coherence was calculated as a percent increase in the lifetime load over the base value with no temporal coherence.

Assessment of the Spatial and Temporal Distribution of Functional Connectivity in Resting-State BOLD fMRI

Recent research into resting-state functional magnetic resonance imaging (fMRI) has shown that the brain is very active during rest. This thesis work utilizes blood oxygenation level dependent (BOLD) signals to investigate the spatial and temporal functional network information found within resting-state data, and aims to investigate the feasibility of extracting functional connectivity networks using different methods as well as the dynamic variability within some of the methods. Furthermore, this work looks into producing valid networks using a sparsely-sampled sub-set of the original data.

In this work we utilize four main methods: independent component analysis (ICA), principal component analysis (PCA), correlation, and a point-processing technique. Each method comes with unique assumptions, as well as strengths and limitations into exploring how the resting state components interact in space and time.

Correlation is perhaps the simplest technique. Using this technique, resting-state patterns can be identified based on how similar the time profile is to a seed region’s time profile. However, this method requires a seed region and can only identify one resting state network at a time. This simple correlation technique is able to reproduce the resting state network using subject data from one subject’s scan session as well as with 16 subjects.

Independent component analysis, the second technique, has established software programs that can be used to implement this technique. ICA can extract multiple components from a data set in a single analysis. The disadvantage is that the resting state networks it produces are all independent of each other, making the assumption that the spatial pattern of functional connectivity is the same across all the time points. ICA is successfully able to reproduce resting state connectivity patterns for both one subject and a 16 subject concatenated data set.

Using principal component analysis, the dimensionality of the data is compressed to find the directions in which the variance of the data is most significant. This method utilizes the same basic matrix math as ICA with a few important differences that will be outlined later in this text. Using this method, sometimes different functional connectivity patterns are identifiable but with a large amount of noise and variability.

To begin to investigate the dynamics of the functional connectivity, the correlation technique is used to compare the first and second halves of a scan session. Minor differences are discernable between the correlation results of the scan session halves. Further, a sliding window technique is implemented to study the correlation coefficients through different sizes of correlation windows throughout time. From this technique it is apparent that the correlation level with the seed region is not static throughout the scan length.

The last method introduced, a point processing method, is one of the more novel techniques because it does not require analysis of the continuous time points. Here, network information is extracted based on brief occurrences of high or low amplitude signals within a seed region. Because point processing utilizes less time points from the data, the statistical power of the results is lower. There are also larger variations in DMN patterns between subjects. In addition to boosted computational efficiency, the benefit of using a point-process method is that the patterns produced for different seed regions do not have to be independent of one another.

This work compares four unique methods of identifying functional connectivity patterns. ICA is a technique that is currently used by many scientists studying functional connectivity patterns. The PCA technique is not optimal for the level of noise and the distribution of the data sets. The correlation technique is simple and obtains good results, however a seed region is needed and the method assumes that the DMN regions is correlated throughout the entire scan. Looking at the more dynamic aspects of correlation changing patterns of correlation were evident. The last point-processing method produces a promising results of identifying functional connectivity networks using only low and high amplitude BOLD signals.

Beam Angle Optimization for Automated Coplanar IMRT Lung Plans

Purpose: To investigate the effect of incorporating a beam spreading parameter in a beam angle optimization algorithm and to evaluate its efficacy for creating coplanar IMRT lung plans in conjunction with machine learning generated dose objectives.

Results: With a confidence level of 5%, treatment plans created with this method resulted in significantly better conformity indices. Dose coverage to the PTV was improved by an average of 12% over the initial plans. At the same time, these treatment plans showed no significant difference in mean lung dose, V20 lung, or V40 heart when compared to the initial plans; however, it should be noted that these results could be influenced by the small sample size of patient cases.

Conclusions: The beam angle optimization algorithm, with the inclusion of the beam spreading parameter k, increases the dose conformity of the automatically generated treatment plans over that of the initial plans without adversely affecting the dose to organs at risk. This parameter can be varied according to physician preference in order to control the tradeoff between dose conformity and OAR sparing without compromising the integrity of the plan.

The Impact of Marijuana Use on Memory in Patients with HIV/AIDS

The most robust neurocognitive effect of marijuana use is memory impairment. Memory deficits are also high among persons living with HIV/AIDS, and marijuana use among this population is disproportionately common. Yet research examining neurocognitive outcomes resulting from co-occurring marijuana and HIV is virtually non-existent. The primary aim of this case-controlled study was to identify patterns of neurocognitive impairment among HIV patients who used marijuana compared to HIV patients who did not use drugs by comparing the groups on domain T-scores. Participants included 32 current marijuana users and 37 non-drug users. A comprehensive battery assessed substance use and neurocognitive functioning. Among the full sample, marijuana users performed significantly worse on verbal memory tasks compared to non-drug users and significantly better on attention/working memory tasks. A secondary aim of this study was to test whether the effect of marijuana use on memory was moderated by HIV disease progression, but these models were not significant. This study also examined whether the effect of marijuana use was differentially affected by marijuana use characteristics, finding that earlier age of initiation was associated with worse memory performance. These findings have important clinical implications, particularly given increased legalization of this drug to manage HIV infection.

Individual Differences in the Neural Response to Personal Goal Pursuit Success and Failure: A Developmental Analysis

Regulatory focus theory (RFT) proposes two different social-cognitive motivational systems for goal pursuit: a promotion system, which is organized around strategic approach behaviors and "making good things happen," and a prevention system, which is organized around strategic avoidance and "keeping bad things from happening." The promotion and prevention systems have been extensively studied in behavioral paradigms, and RFT posits that prolonged perceived failure to make progress in pursuing promotion or prevention goals can lead to ineffective goal pursuit and chronic distress (Higgins, 1997).

Research has begun to focus on uncovering the neural correlates of the promotion and prevention systems in an attempt to differentiate them at the neurobiological level. Preliminary research suggests that the promotion and prevention systems have both distinct and overlapping neural correlates (Eddington, Dolcos, Cabeza, Krishnan, & Strauman, 2007; Strauman et al., 2013). However, little research has examined how individual differences in regulatory focus develop and manifest. The development of individual differences in regulatory focus is particularly salient during adolescence, a crucial topic to explore given the dramatic neurodevelopmental and psychosocial changes that take place during this time, especially with regard to self-regulatory abilities. A number of questions remain unexplored, including the potential for goal-related neural activation to be modulated by (a) perceived proximity to goal attainment, (b) individual differences in regulatory orientation, specifically general beliefs about one's success or failure in attaining the two kinds of goals, (c) age, with a particular focus on adolescence, and (d) homozygosity for the Met allele of the catechol-O-methyltransferase (COMT) Val158Met polymorphism, a naturally occurring genotype which has been shown to impact prefrontal cortex activation patterns associated with goal pursuit behaviors.

This study explored the neural correlates of the promotion and prevention systems through the use of a priming paradigm involving rapid, brief, masked presentation of individually selected promotion and prevention goals to each participant while being scanned. The goals used as priming stimuli varied with regard to whether participants reported that they were close to or far away from achieving them (i.e. a "match" versus a "mismatch" representing perceived success or failure in personal goal pursuit). The study also assessed participants' overall beliefs regarding their relative success or failure in attaining promotion and prevention goals, and all participants were genotyped for the COMT Val158Met polymorphism.

A number of significant findings emerged. Both promotion and prevention priming were associated with activation in regions associated with self-referential cognition, including the left medial prefrontal cortex, cuneus, and lingual gyrus. Promotion and prevention priming were also associated with distinct patterns of neural activation; specifically, left middle temporal gyrus activation was found to be significantly greater during prevention priming. Activation in response to promotion and prevention goals was found to be modulated by self-reports of both perceived proximity to goal achievement and goal orientation. Age also had a significant effect on activation, such that activation in response to goal priming became more robust in the prefrontal cortex and in default mode network regions as a function of increasing age. Finally, COMT genotype also modulated the neural response to goal priming both alone and through interactions with regulatory focus and age. Overall, these findings provide further clarification of the neural underpinnings of the promotion and prevention systems as well as provide information about the role of development and individual differences at the personality and genetic level on activity in these neural systems.