20 research outputs found
The Influence of Negative Affect on Self-Referent Sentence Processing and Memory Performance
The current study investigated how a negative mood state affects lexical and sentence processing in individuals that have never experienced depression. Specifically, the goal of this research was to investigate how an induced negative mood state affects the judgment of sentence plausibility and memory for lexical information in a self-referent context. This study also aims to further theories related to the processing of emotion that require more evidence to differentiate between the effect of a transient mood state and the experience of prolonged negative affect. Eighty-five Kansas University students performed 2 experimental blocks each containing 48 randomized sentences, including 18 self-referent sentences in each block. All sentences contained a final word that was chosen according to its negative, positive or neutral valence. The dependent variables were reading time for the sentence final word, reaction time for making the semantic plausibility judgment, and the response choice provided based on sentence content. The two experimental blocks of the reading task were separated by a mood induction procedure where participants were asked to consider a sad moment in their life while listening to Prokokiev's "Russia under the Mongolian yoke." Our results indicate that while in the negative mood state participants were much slower to reject the self-statements ending with a negative word. This effect occurred even though participants spent less time reading the sentence final words while in the negative mood. Overall, our response choice analyses indicated that participants were also less likely to judge the negative self-referent statements as implausible and more likely to accept the positive self-statements. Considering memory performance, we found that negative mood decreases overall memory performance. Valence analyses suggest a bias to recall positive self-referent targets regardless of mood state. Our findings support trait-specific models of emotion processing that have shown a positive cognitive processing bias in nondepressed populations
Morphological, physiological and behavioural evaluation of a âMice in Spaceâ housing system
Environmental conditions likely affect physiology and behaviour of mice used for life sciences research on Earth or in Space. Here, we analysed the effects of cage confinement on the weightbearing musculoskeletal system, behaviour and stress of wild-type mice (C57BL/6JRj, 30 g b.wt., total n = 24) housed for 25 days in a prototypical ground-based and fully automated life support habitat device called âMice in Spaceâ (MIS). Compared with control housing (individually ventilated cages) the MIS mice revealed no significant changes in soleus muscle size and myofiber distribution (type I vs. II) and quality of bone (3-D microarchitecture and mineralisation of calvaria, spine and femur) determined by confocal and micro-computed tomography. Corticosterone metabolism measured non-invasively (faeces) monitored elevated adrenocortical activity at only start of the MIS cage confinement (day 1). Behavioural tests (i.e., grip strength, rotarod, L/D box, elevated plus-maze, open field, aggressiveness) performed subsequently revealed only minor changes in motor performance (MIS vs. controls). The MIS habitat will not, on its own, produce major effects that could confound interpretation of data induced by microgravity exposure during spaceflight. Our results may be even more helpful in developing multidisciplinary protocols with adequate scenarios addressing molecular to systems levels using mice of various genetic phenotypes in many laboratories
Quantification of Small Extracellular Vesicles by Size Exclusion Chromatography with Fluorescence Detection
Abstract
I would like to thank my adviser, Dr. Stacey Hust, for the time and effort that she also put into this project. Without her guidance, this project would not have been possible. She has served not only as an adviser, but also a role model and friend, and I truly appreciate all she has done. Additionally, I would like to thank my committee members, Erica Austin and Bruce Pinkleton, for their guidance throughout the project and their encouragement. I would also like to acknowledge the support and help my fiancĂ© Shawn Willoughby provided. Fortunately for me, Shawn is not only incredibly supportive but also talented, and he was able to serve as the graphic designer for the project. Shawnâs help with the alterations of the advertisements is more than appreciated, especially the help he provided voluntarily before the project had funding. Additionally, I would like to thank my parents and my brother for their support throughout the process. I appreciate the words of encouragement and the continued reminders to just âtake it one item at a time â when the to-do list got a little long. I would also like to thank my colleagues and good friends Cassie Norman and Hollie Smith for their continued support, encouragement and friendship. This investigation was supported in part by funds provided for medical an
Quantification of Small Extracellular Vesicles by Size Exclusion Chromatography with Fluorescence Detection
Chemical
analysis of small extracellular vesicles (sEVs) circulating
in body fluids holds potentials in noninvasive diagnosis of diseases
and evaluation of therapeutic treatments. However, quantification
of sEVs remains a challenge due to lacking of cost-effective analytical
protocols. Herein we report a facile method based on size exclusion
chromatography with fluorescence detection (SEC-FD) for sEVs quantification.
After removal of cells and cell debris, a 0.50 mL sample (e.g., cell
culture medium) is incubated with CM-Dil dye to fluorescently label
sEVs. The incubation solution is then separated on a SEC column packed
with Sepharose CL-4B. The eluent is monitored fluorescently at Ex553
nm/Em570 nm by using a fluorometer equipped with a 50-ÎŒL flow
through cuvette. Separation efficiency of the proposed SEC-FD method
was evaluated by analyzing 100 nm liposomes and albumin-FITC conjugate.
Liposomes were eluted out in less than 6 min, about 10 min before
albumin-FITC. A separation repeatability (RSD in retention time) of
1.4% (<i>n</i> = 5) was obtained for liposomes. In analysis
of cell culture media, linear calibration curves based on SEC-FD peak
height versus sEVs concentration were obtained with <i>r</i><sup>2</sup> value of 0.996. Intraday quantification repeatability
(RSD in peak height) was 3.2% (<i>n</i> = 5). The detection
limit was estimated to be 2.9 Ă 10<sup>7</sup> exosome particles/mL.
The proposed assay was applied to the first study of sEVs secretion
from TK6 cells cultured in serum-free medium for a culturing period
from 1 to 48 h
Photo-sharing social media for eHealth: analysing perceived message effectiveness of sexual health information on Instagram
The Effect of Overlearning on Long-Term Retention
Once material has been learned to a criterion of one perfect trial, further study within the same session constitutes overlearning. Although overlearning is a popular learning strategy, its effect on longâterm retention is unclear. In two experiments presented here, 218 college students learned geography facts (Experiment 1) or word definitions (Experiment 2). The degree of learning was manipulated and measured via multiple testâwithâfeedback trials, and participants returned for a final cued recall test between 1 and 9 weeks later. The overlearners recalled far more than the low learners at the 1âweek test, but this difference decreased dramatically thereafter. These data suggest that overlearning (and its concomitant demand for additional study time) is an inefficient strategy for learning material for meaningfully long periods of time