An Exploratory Analysis of Family Coping Styles and Psychobiological Distress Among Adolescents Affected by a Large-Scale Disaster

2009 ◽  
Vol 2 (2) ◽  
pp. 81-89 ◽  
Author(s):  
Jacob M. Vigil ◽  
David C. Geary
Keyword(s):  
Large Scale ◽  
Coping Styles ◽  
Exploratory Analysis ◽  
Family Coping

scholarly journals ComplexBrowser: a tool for identification and quantification of protein complexes in large scale proteomics datasets

2019 ◽  
Author(s):  
Wojciech Michalak ◽  
Vasileios Tsiamis ◽  
Veit Schwämmle ◽  
Adelina Rogowska-Wrzesińska
Keyword(s):  
T Cell Activation ◽  
Protein Complex ◽  
Quantitative Proteomics ◽  
Large Scale ◽  
Protein Complexes ◽  
Quantitative Measure ◽  
Exploratory Analysis ◽  
List Type ◽  
Link Type ◽  
Complex Components

AbstractWe have developed ComplexBrowser, an open source, online platform for supervised analysis of quantitative proteomics data that focuses on protein complexes. The software uses information from CORUM and Complex Portal databases to identify protein complex components. Based on the expression changes of individual complex subunits across the proteomics experiment it calculates Complex Fold Change (CFC) factor that characterises the overall protein complex expression trend and the level of subunit co-regulation. Thus up- and down-regulated complexes can be identified. It provides interactive visualisation of protein complexes composition and expression for exploratory analysis. It also incorporates a quality control step that includes normalisation and statistical analysis based on Limma test. ComplexBrowser performance was tested on two previously published proteomics studies identifying changes in protein expression in human adenocarcinoma tissue and during activation of mouse T-cells. The analysis revealed 1519 and 332 protein complexes, of which 233 and 41 were found co-ordinately regulated in the respective studies. The adopted approach provided evidence for a shift to glucose-based metabolism and high proliferation in adenocarcinoma tissues and identification of chromatin remodelling complexes involved in mouse T-cell activation. The results correlate with the original interpretation of the experiments and also provide novel biological details about protein complexes affected. ComplexBrowser is, to our knowledge, the first tool to automate quantitative protein complex analysis for high-throughput studies, providing insights into protein complex regulation within minutes of analysis.A fully functional demo version of ComplexBrowser v1.0 is available online via http://computproteomics.bmb.sdu.dk/Apps/ComplexBrowser/The source code can be downloaded from: https://bitbucket.org/michalakw/complexbrowserHighlightsAutomated analysis of protein complexes in proteomics experimentsQuantitative measure of the coordinated changes in protein complex componentsInteractive visualisations for exploratory analysis of proteomics resultsIn briefComplexBrowser is capable of identifying protein complexes in datasets obtained from large scale quantitative proteomics experiments. It provides, in the form of the CFC factor, a quantitative measure of the coordinated changes in complex components. This facilitates assessing the overall trends in the processes governed by the identified protein complexes providing a new and complementary way of interpreting proteomics experiments.

Benefit finding in the COVID-19 pandemic: College students’ positive coping strategies

2020 ◽  
Vol 5 (2) ◽  
pp. 73-86
Author(s):  
Rachel August ◽  
Adam Dapkewicz
Keyword(s):  
College Students ◽  
Coping Strategies ◽  
Personal Growth ◽  
Large Scale ◽  
Coping Styles ◽  
Well Being ◽  
Benefit Finding ◽  
Positive Coping ◽  
Creative Solutions ◽  
Common Strategy

The ability of college students to cope effectively during the COVID-19 pandemic is an ongoing concern which could have implications for a generation of students’ health and well-being. Although adaptive coping styles have been explored with reference to other large-scale crises, little is known from an empirical standpoint about whether college students are engaging in such coping strategies during the pandemic. The current study focuses on meaning-focused coping, a coping style often seen in response to significant trauma or adversity, and in particular the process of benefit finding. Qualitative data were collected from a sample of 63 college students who were living under county-issued shelter-in-place orders for seven weeks during the pandemic in an academic semester. Benefit finding was a common strategy expressed by students during that time. They identified several self-related benefits including learning to be grateful, unexpected personal growth, and new clarity about the future. They also described various societal-related benefits of the pandemic, including people acting selflessly, focusing on what matters, developing creative solutions and teamwork, and also noted improvements in the natural environment. The self-related benefits had a particularly potent impact, as those who reported them were also less likely to express fear, anxiety, or stress. The results suggest that benefit finding is an important coping strategy during the pandemic; moreover, it seems helpful to continue exploring such positive models of adaptation as students navigate the pandemic over time.

Intergenerational Support during the Transition to Parenthood: Issues for New Parents and Grandparents

1992 ◽  
Vol 73 (8) ◽  
pp. 471-479 ◽  
Author(s):  
Laura B. Hansen ◽  
Elizabeth Jacob
Keyword(s):  
Family Relationships ◽  
Transition To Parenthood ◽  
Coping Styles ◽  
Life Stage ◽  
Preventive Service ◽  
Intergenerational Support ◽  
Family Coping ◽  
Holistic View ◽  
Service Project ◽  
Perception Of Support

Intergenerational support during the transition to parenthood is explored on the basis of a research and preventive-service project that included 86 fist-time parents and their parents. Many factors influence the nature and perception of support: developmental and life-stage issues for both generations, maternal and paternal family relationships, family coping styles, and continuities or discontinuities of cultures and traditions. A holistic view of intergenerational resources is recommended, emphasizing increased recognition of the paternal family.

scholarly journals Analyzing history-related posts in twitter

2020 ◽  
Author(s):  
Yasunobu Sumikawa ◽  
Adam Jatowt
Keyword(s):  
Large Scale ◽  
Exploratory Analysis ◽  
Content Dissemination ◽  
Content Sharing ◽  
The Past ◽  
Twitter Data ◽  
Convenient Means ◽  
Content Recommendation ◽  
Share Information ◽  
Time Aware

Abstract Microblogging platforms such as Twitter have been increasingly used nowadays to share information between users. They are also convenient means for propagating content related to history. Hence, from the research viewpoint they can offer opportunities to analyze the way in which users refer to the past, and how as well when such references appear and what purposes they serve. Such study could allow to quantify the interest degree and the mechanisms behind content dissemination. We report the results of a large scale exploratory analysis of history-oriented posts in microblogs based on a 28-month-long snapshot of Twitter data. The results can increase our understanding of the characteristics of history-focused content sharing in Twitter. They can also be used for guiding the design of content recommendation systems as well as time-aware search applications.

scholarly journals Linking the Endocannabinoidome with Specific Metabolic Parameters in an Overweight and Insulin-Resistant Population: From Multivariate Exploratory Analysis to Univariate Analysis and Construction of Predictive Models

Cells ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Clara Depommier ◽  
Nicolas Flamand ◽  
Rudy Pelicaen ◽  
Dominique Maiter ◽  
Jean-Paul Thissen ◽  
...  
Keyword(s):  
Large Scale ◽  
Cohort Analysis ◽  
Univariate Analysis ◽  
Principal Component ◽  
Exploratory Analysis ◽  
Metabolic Parameters ◽  
Good Prediction ◽  
Bioactive Lipids ◽  
Metabolic Complications ◽  
Insulin Resistant

The global obesity epidemic continues to rise worldwide. In this context, unraveling new interconnections between biological systems involved in obesity etiology is highly relevant. Dysregulation of the endocannabinoidome (eCBome) is associated with metabolic complications in obesity. This study aims at deciphering new associations between circulating endogenous bioactive lipids belonging to the eCBome and metabolic parameters in a population of overweight or obese individuals with metabolic syndrome. To this aim, we combined different multivariate exploratory analysis methods: canonical correlation analysis and principal component analysis, revealed associations between eCBome subsets, and metabolic parameters such as leptin, lipopolysaccharide-binding protein, and non-esterified fatty acids (NEFA). Subsequent construction of predictive regression models according to the linear combination of selected endocannabinoids demonstrates good prediction performance for NEFA. Descriptive approaches reveal the importance of specific circulating endocannabinoids and key related congeners to explain variance in the metabolic parameters in our cohort. Analysis of quartiles confirmed that these bioactive lipids were significantly higher in individuals characterized by important levels for aforementioned metabolic variables. In conclusion, by proposing a methodology for the exploration of large-scale data, our study offers additional evidence of the existence of an interplay between eCBome related-entities and metabolic parameters known to be altered in obesity.

scholarly journals Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Daniel J. van Wamelen ◽  
Shweta Hota ◽  
Aleksandra Podlewska ◽  
Valentina Leta ◽  
Dhaval Trivedi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gastrointestinal Tract ◽  
Large Scale ◽  
Disease Duration ◽  
Wearable Sensors ◽  
International Study ◽  
Exploratory Analysis ◽  
College Hospital ◽  
Gastrointestinal Problems

Abstract Wearable sensors are becoming increasingly more available in Parkinson’s disease and are used to measure motor function. Whether non-motor symptoms (NMS) can also be measured with these wearable sensors remains unclear. We therefore performed a retrospective, exploratory, analysis of 108 patients with a diagnosis of idiopathic Parkinson’s disease enroled in the Non-motor Longitudinal International Study (UKCRN No. 10084) at King’s College Hospital, London, to determine the association between the range and nature of NMS and an accelerometer-based outcome measure of bradykinesia (BKS) and dyskinesia (DKS). NMS were assessed by the validated NMS Scale, and included, e.g., cognition, mood and sleep, and gastrointestinal, urinary and sexual problems. Multiple linear regression modelling was used to identify NMS associated with BKS and DKS. We found that BKS was associated with domains 6 (gastrointestinal tract; p = 0.006) and 8 (sexual function; p = 0.003) of the NMS scale. DKS was associated with domains 3 (mood/cognition; p = 0.016), 4 (perceptual problems; p = 0.025), 6 (gastrointestinal tract; p = 0.029) and 9 (miscellaneous, p = 0.003). In the separate domains, constipation was significantly associated with BKS. Delusions, dysphagia, hyposmia, weight change and hyperhidrosis were identified as significantly associated with DKS. None of the NMSS domains were associated with disease duration (p ≥ 0.08). In conclusion, measures of BKS and DKS were mainly associated with gastrointestinal problems, independent of disease duration, showing the potential for wearable devices to pick up on these symptoms. These exploratory results deserve further exploration, and more research on this topic in the form of comprehensive large-scale studies is needed.

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