1,546 research outputs found

    Effectiveness of a Multimodal Mindfulness Program for Student Health Care Professionals: A Randomized Controlled Trial

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    Background: The effectiveness of a multimodal mindfulness program incorporating traditional and nontraditional forms of active and nonactive meditation practices with a sample of occupational and physical therapy students was assessed in this study. Method: Thirty-six participants were randomly assigned to an intervention or control group. The 8-week mindfulness program consisted of one weekly 40-min in-person group session and four weekly 10-min online guided meditations. Pre and postintervention measures included the Perceived Stress Scale (PSS), Student Stress Management Scale (SSMS), mindfulness activity log, open-ended qualitative questionnaire, GPA, and counseling visit frequency. Results: Statistically significant differences, with large effect sizes, were found between intervention and control group PSS (Z=-4.291, pd=-1.84) and SSMS (Z=-3.330, pd=-1.27) postintervention scores. Statistically significant differences, with large effect sizes, were found between intervention group pre and postmindfulness activity ratings for each week and all weeks combined (Z=-12.599, pd=1.29). Qualitative data revealed eight themes including greater sleep quality, energy levels, self-compassion, and life-work balance. No statistically significant differences were found between intervention and control group counseling visit frequency and GPA. Conclusion: As this is preliminary data about a novel intervention with a small student sample, effectiveness of this intervention should be further explored in a replication study

    The Effects of Glutamate on Fibrinolytic Proteins in the Mouse SCN

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    Determinants of Well-being: Impacts of Adversity and Resilience Across the Lifespan

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    Adversity and resilience have both been consistently shown to impart holistic, cumulative, and life-long effects on well-being. However, the relationship between experiencing adversity and developing resilience has shown to be complex and interactive. While the independent effects of adverse childhood experiences (ACEs), adversity in adulthood, and protective factors in both childhood and adulthood have been previously studied and consistently supported, there has not been adequate research looking into the complex relationships between these variables as they relate to determining overall well-being. The current study attempts to parse out the relative predictive power of these four factors in determining overall well-being in adulthood as well as to demonstrate and clarify the presence and nature of their interactive relationships. Of the factors utilized in this study, childhood protective factors appear to be the greatest predictor of well-being, followed by adulthood protective factors, ACEs, and finally, recent stress, which may not significantly impact well-being at all. Childhood protective factors and adulthood protective factors both appear to buffer the negative impacts of ACEs and recent stress on well-being. Furthermore, recent stress appears to moderate the effects of ACEs on well-being, through both buffering against negative effects when ACEs are high, and exacerbating negative effects when ACEs are low. Finally, the influence of childhood protective factors on well-being appears to be so salient that no other factors make a significant impact on well-being over and above that of childhood protective factors, regardless of their magnitude

    No response? Simulating Fear of Missing Out Experiences to Investigate Relationships with Emotion Regulation, Negative Affect, and Counterfactual-Seeking through Social Media

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    Fear of missing out (FoMO) is a common experience among young adults characterized by the apprehension that others are having rewarding experiences from which one is absent. The present study investigates the construct of FoMO through simulated experiences in order to clarify the context in which FoMO occurs and to examine its relationship with emotion regulation, counterfactual-seeking, and negative affect. The vignette had a significant effect of increasing feelings of FoMO which was positively associated with difficulties in emotion regulation, counterfactual-seeking, and both regret and disappointment. Feelings of FoMO were significantly greater in the enjoyable task in comparison to the obligatory task despite their social nature

    Optical and mechanical design of the extreme AO coronagraphic instrument MagAO-X

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    Here we review the current optical mechanical design of MagAO-X. The project is post-PDR and has finished the design phase. The design presented here is the baseline to which all the optics and mechanics have been fabricated. The optical/mechanical performance of this novel extreme AO design will be presented here for the first time. Some highlights of the design are: 1) a floating, but height stabilized, optical table; 2) a Woofer tweeter (2040 actuator BMC MEMS DM) design where the Woofer can be the current f/16 MagAO ASM or, more likely, fed by the facility f/11 static secondary to an ALPAO DM97 woofer; 3) 22 very compact optical mounts that have a novel locking clamp for additional thermal and vibrational stability; 4) A series of four pairs of super-polished off-axis parabolic (OAP) mirrors with a relatively wide FOV by matched OAP clocking; 5) an advanced very broadband (0.5-1.7micron) ADC design; 6) A Pyramid (PWFS), and post-coronagraphic LOWFS NCP wavefront sensor; 7) a vAPP coronagraph for starlight suppression. Currently all the OAPs have just been delivered, and all the rest of the optics are in the lab. Most of the major mechanical parts are in the lab or instrument, and alignment of the optics has occurred for some of the optics (like the PWFS) and most of the mounts. First light should be in 2019A.Comment: 10 pages, proc. SPIE 10703, Adaptive Optics IV, Austin TX, June 201

    Thalamic medial dorsal nucleus atrophy in medial temporal lobe epilepsy: A VBM meta-analysis

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    Purpose: Medial temporal lobe epilepsy (MTLE) is associated with MTLE network pathology within and beyond the hippocampus. The purpose of this meta-analysis was to identify consistent MTLE structural change to guide subsequent targeted analyses of these areas. Methods: We performed an anatomic likelihood estimation (ALE) meta-analysis of 22 whole-brain voxel-based morphometry experiments from 11 published studies. We grouped these experiments in three ways. We then constructed a meta-analytic connectivity model (MACM) for regions of consistent MTLE structural change as reported by the ALE analysis. Key findings: ALE reported spatially consistent structural change across VBM studies only in the epileptogenic hippocampus and the bilateral thalamus; within the thalamus, the medial dorsal nucleus of the thalamus (MDN thalamus) represented the greatest convergence (Pb0.05 corrected for multiple comparisons). The subsequent MACM for the hippocampus and ipsilateral MDN thalamus demonstrated that the hippocampus and ipsilateral MDN thalamus functionally co-activate and are nodes within the same network, suggesting that MDN thalamic damage could result from MTLE network excitotoxicity. Significance: Notwithstanding our large sample of studies, these findings aremore restrictive thanprevious reports and demonstrate the utility of our inclusion filters and of recently modified meta-analyticmethods in approximating clinical relevance. Thalamic pathology is commonly observed in animal and human studies, suggesting it could be a clinically useful indicator. Thalamus-specific research as a clinical marker awaits further investigation

    Open social mapping participatory: Modeling of social systems

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    Open Social Mapping is an emerging paradigm for stakeholder engagement in systemic design projects. It combines actor mapping, network modelling and analysis, customer relationship management systems, and crowdsourcing in a method that allows stakeholders to map themselves within a system. Based on observations of some early examples of this tool and two case studies led by the authors, we describe some of the opportunities and challenges of Open Social Mapping. Open Social Maps re-center the stakeholder in the systemic design process, helping designers make data- driven decisions with real-time data while decentralizing systemic design by facilitating stakeholder access and agency to the design process. However, we must address issues of data collection and maintenance, privacy, power and privilege, bad actors, interoperability, and information quality for this tool to become mainstream

    PSORTdb: a protein subcellular localization database for bacteria

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    Information about bacterial subcellular localization (SCL) is important for protein function prediction and identification of suitable drug/vaccine/diagnostic targets. PSORTdb (http://db.psort.org/) is a web-accessible database of SCL for bacteria that contains both information determined through laboratory experimentation and computational predictions. The dataset of experimentally verified information (∼2000 proteins) was manually curated by us and represents the largest dataset of its kind. Earlier versions have been used for training SCL predictors, and its incorporation now into this new PSORTdb resource, with its associated additional annotation information and dataset version control, should aid researchers in future development of improved SCL predictors. The second component of this database contains computational analyses of proteins deduced from the most recent NCBI dataset of completely sequenced genomes. Analyses are currently calculated using PSORTb, the most precise automated SCL predictor for bacterial proteins. Both datasets can be accessed through the web using a very flexible text search engine, a data browser, or using BLAST, and the entire database or search results may be downloaded in various formats. Features such as GO ontologies and multiple accession numbers are incorporated to facilitate integration with other bioinformatics resources. PSORTdb is freely available under GNU General Public License

    The Multiplicity of M-Dwarfs in Young Moving Groups

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    We image 104 newly identified low-mass (mostly M-dwarf) pre-main sequence members of nearby young moving groups with Magellan Adaptive Optics (MagAO) and identify 27 binaries with instantaneous projected separation as small as 40 mas. 15 were previously unknown. The total number of multiple systems in this sample including spectroscopic and visual binaries from the literature is 36, giving a raw multiplicity rate of at least 35−4+5%35^{+5}_{-4}\% for this population. In the separation range of roughly 1 - 300 AU in which infrared AO imaging is most sensitive, the raw multiplicity rate is at least 24−4+5%24^{+5}_{-4}\% for binaries resolved by the MagAO infrared camera (Clio). The M-star sub-sample of 87 stars yields a raw multiplicity of at least 30−4+5%30^{+5}_{-4}\% over all separations, 21−4+5%21^{+5}_{-4}\% for secondary companions resolved by Clio from 1 to 300 AU (23−4+5%23^{+5}_{-4}\% for all known binaries in this separation range). A combined analysis with binaries discovered by the Search for Associations Containing Young stars shows that multiplicity fraction as a function of mass and age over the range of 0.2 to 1.2 M⊙M_\odot and 10 - 200 Myr appears to be linearly flat in both parameters and across YMGs. This suggests that multiplicity rates are largely set by 100 Myr without appreciable evolution thereafter. After bias corrections are applied, the multiplicity fraction of low-mass YMG members (<0.6M⊙< 0.6 M_\odot) is in excess of the field.Comment: 25 page
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