219 research outputs found

    Age differences in functional performance : deficits or artifacts?

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    An experiment was conducted to compare the functional performance of 20 young adults and 20 older adults in two types of tasks. One type of task was normal activities of daily living which are meaningful, familiar, and well practiced while the other type was a contrived, relatively unfamiliar task of wrapping a package. While young and old adults did not differ in the ratings of the familiarity of the two tasks, results from an Age by Task Type mixed MANOVA demonstrated a significant age difference in both activities. This suggests that older adults show age-related decline with tasks even when those tasks are familiar, practiced, and ecologically valid

    The effect of familiarity of task and choice on the functional performance of young and old adults

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    An experiment was conducted to compare the functional performance of young and old adults on familiar and unfamiliar tasks under two conditions of perceived control. Specifically, the relation between age and motor and process skills was examined. The familiar tasks were simple cooking tasks, whereas the unfamiliar tasks were contrived, meaningless tasks developed for this study. Young and old did not differ in the ratings of the familiarity of the tasks, but results from two Age by Task by Choice ANOVAs demonstrated a significant age difference for motor and process skills under all conditions. For the process skill scale, there was also a significant main effect for choice. This suggests that older adults demonstrate age-related decline even with activities that take motivational, experiential, and ecological validity components into account. Results also support the concept that perceived control can improve performance, but not differentially for older adults; that is, young and old adults both demonstrated improved performance when given their choice of tasks

    Evaluating Driving as a Valued Instrumental Activity of Daily Living

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    The purpose of this translational research article is to illustrate how general practice occupational therapists have the skills and knowledge to address driving as a valued occupation using an algorithm based on the Occupational Therapy Practice Framework: Domain and Process (2nd ed.; American Occupational Therapy Association, 2008b). Evidence to support the model is offered by a research study. Participants were compared on their performance of complex instrumental activities of daily living (IADLs) and a behind-thewheel driving assessment. A significant relationship was found between the process skills from the performance assessment and whether the driver passed, failed, or needed restrictions as indicated by the behind-the-wheel assessment. The evidence suggests that occupational therapists using observational performance evaluation of IADLs can assist in determining who might be an at-risk driver. The algorithm addresses how driver rehabilitation specialists can be used most effectively and efficiently with general practice occupational therapy practitioners meeting the needs of senior drivers

    Healing and posttraumatic growth in African American survivors of domestic violence: An exploration of women's narratives

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    This research explores how African American women?s narratives present their healing processes after they experience domestic violence. The research was conducted within the framework of Black feminist epistemology. A narrative approach was selected to present the lived experience of each woman in her own words. Participants were selected through a purposive, snowball sampling procedure. The criteria for participants included three elements: (a) African American women who were native to the United States, (b) experience with domestic violence, and (c) in a self defined process of healing as evidenced by one or more criteria of healing. Six participants were identified and recruited by domestic violence service providers. One participant was subsequently excluded from the research as she had no experiences of being physically abused. The other five participants completed a series of three interviews. The transcribed interviews were analyzed using narrative data analysis procedures that were adapted from Polkinghorne. A storied account for each woman was constructed from the interview data. The stories contain the plot elements, both exterior and interior, that helped each woman move from trauma to healing. The stories also convey biographical elements for each woman that provide a context for the abuse and subsequent healing. Following the stories, the major common themes are identified: In the discussion section, the healing themes from the narratives are related to the relevant literature. The healing narratives contain the five markers of posttraumatic growth: deepened spirituality, redefinition of self, hope for the future, increased gratitude, and deepened relationships. Although growth is evident in all five areas, the participants stress the primary importance of their spiritual connections to God. Cognitive restructuring is the process by which the women are able to develop deeper spiritual faith and to tap into their own internal strength and wisdom. Racial issues are also discussed, including areas of discrepancy between the participants? accounts and literature about African American women and domestic violence. The discrepancies are explored and questions are raised about how the race of the interviewer might have impacted the interview process. The discrepancies are also discussed within the context of the literature about intersecting identities and racial identity development. The implications for clinical practice are presented along with specific recommendations for helping African American victims of domestic violence heal from the trauma. Limitations of the research are named and suggestions for future research are outlined

    VitisNet: “Omics” Integration through Grapevine Molecular Networks

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    Background Genomic data release for the grapevine has increased exponentially in the last five years. The Vitis vinifera genome has been sequenced and Vitis EST, transcriptomic, proteomic, and metabolomic tools and data sets continue to be developed. The next critical challenge is to provide biological meaning to this tremendous amount of data by annotating genes and integrating them within their biological context. We have developed and validated a system of Grapevine Molecular Networks (VitisNet). Methodology/Principal Findings The sequences from the Vitis vinifera (cv. Pinot Noir PN40024) genome sequencing project and ESTs from the Vitis genus have been paired and the 39,424 resulting unique sequences have been manually annotated. Among these, 13,145 genes have been assigned to 219 networks. The pathway sets include 88 “Metabolic”, 15 “Genetic Information Processing”, 12 “Environmental Information Processing”, 3 “Cellular Processes”, 21 “Transport”, and 80 “Transcription Factors”. The quantitative data is loaded onto molecular networks, allowing the simultaneous visualization of changes in the transcriptome, proteome, and metabolome for a given experiment. Conclusions/Significance VitisNet uses manually annotated networks in SBML or XML format, enabling the integration of large datasets, streamlining biological functional processing, and improving the understanding of dynamic processes in systems biology experiments. VitisNet is grounded in the Vitis vinifera genome (currently at 8x coverage) and can be readily updated with subsequent updates of the genome or biochemical discoveries. The molecular network files can be dynamically searched by pathway name or individual genes, proteins, or metabolites through the MetNet Pathway database and web-portal at http://metnet3.vrac.iastate.edu/. All VitisNet files including the manual annotation of the grape genome encompassing pathway names, individual genes, their genome identifier, and chromosome location can be accessed and downloaded from the VitisNet tab at http://vitis-dormancy.sdstate.org

    VitisNet: ‘‘Omics’’ Integration through Grapevine Molecular Networks

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    Background: Genomic data release for the grapevine has increased exponentially in the last five years. The Vitis vinifera genome has been sequenced and Vitis EST, transcriptomic, proteomic, and metabolomic tools and data sets continue to be developed. The next critical challenge is to provide biological meaning to this tremendous amount of data by annotating genes and integrating them within their biological context. We have developed and validated a system of Grapevine Molecular Networks (VitisNet). Methodology/Principal Findings: The sequences from the Vitis vinifera (cv. Pinot Noir PN40024) genome sequencing project and ESTs from the Vitis genus have been paired and the 39,424 resulting unique sequences have been manually annotated. Among these, 13,145 genes have been assigned to 219 networks. The pathway sets include 88 ‘‘Metabolic’’, 15 ‘‘Genetic Information Processing’’, 12 ‘‘Environmental Information Processing’’, 3 ‘‘Cellular Processes’’, 21 ‘‘Transport’’, and 80 ‘‘Transcription Factors’’. The quantitative data is loaded onto molecular networks, allowing the simultaneous visualization of changes in the transcriptome, proteome, and metabolome for a given experiment. Conclusions/Significance: VitisNet uses manually annotated networks in SBML or XML format, enabling the integration of large datasets, streamlining biological functional processing, and improving the understanding of dynamic processes in systems biology experiments. VitisNet is grounded in the Vitis vinifera genome (currently at 8x coverage) and can be readily updated with subsequent updates of the genome or biochemical discoveries. The molecular network files can be dynamically searched by pathway name or individual genes, proteins, or metabolites through the MetNet Pathway database and web-portal at http://metnet3.vrac.iastate.edu/. All VitisNet files including the manual annotation of the grape genome encompassing pathway names, individual genes, their genome identifier, and chromosome location can be accessed and downloaded from the VitisNet tab at http://vitis-dormancy.sdstate.org

    VitisNet: ‘‘Omics’’ Integration through Grapevine Molecular Networks

    Get PDF
    Background: Genomic data release for the grapevine has increased exponentially in the last five years. The Vitis vinifera genome has been sequenced and Vitis EST, transcriptomic, proteomic, and metabolomic tools and data sets continue to be developed. The next critical challenge is to provide biological meaning to this tremendous amount of data by annotating genes and integrating them within their biological context. We have developed and validated a system of Grapevine Molecular Networks (VitisNet). Methodology/Principal Findings: The sequences from the Vitis vinifera (cv. Pinot Noir PN40024) genome sequencing project and ESTs from the Vitis genus have been paired and the 39,424 resulting unique sequences have been manually annotated. Among these, 13,145 genes have been assigned to 219 networks. The pathway sets include 88 ‘‘Metabolic’’, 15 ‘‘Genetic Information Processing’’, 12 ‘‘Environmental Information Processing’’, 3 ‘‘Cellular Processes’’, 21 ‘‘Transport’’, and 80 ‘‘Transcription Factors’’. The quantitative data is loaded onto molecular networks, allowing the simultaneous visualization of changes in the transcriptome, proteome, and metabolome for a given experiment. Conclusions/Significance: VitisNet uses manually annotated networks in SBML or XML format, enabling the integration of large datasets, streamlining biological functional processing, and improving the understanding of dynamic processes in systems biology experiments. VitisNet is grounded in the Vitis vinifera genome (currently at 8x coverage) and can be readily updated with subsequent updates of the genome or biochemical discoveries. The molecular network files can be dynamically searched by pathway name or individual genes, proteins, or metabolites through the MetNet Pathway database and web-portal at http://metnet3.vrac.iastate.edu

    Identification of Elg1 interaction partners and effects on post-replication chromatin re-formation

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    We thank members of the Donaldson, Kubota, and Lorenz labs for helpful discussion, Sophie Shaw at the University of Aberdeen for data upload to Array Express and Shin-ichiro Hiraga for help with Bioinformatic analysis. This work was supported by BBSRC Grant BB/K006304/1 and Cancer Research UK Programme Award A19059 to ADD, and Wellcome Trust Grant 095062 to TOH. KS was supported by Grant-in-Aid for Scientific Research on Priority Areas (15H05970 and 15K21761) from Ministry of Education, Culture, Sports, Science and Technology, Japan All raw-data files for MNase-Seq and ChIP-Seq data are uploaded to Array Express under accession number: E-MTAB-6985.Peer reviewedPublisher PD
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