245 research outputs found
The Larsen Motive: a Survey of Motivic Usage in Libby Larsen\u27s \u3ci\u3eCorker\u3c/i\u3e, \u3ci\u3eSlang\u3c/i\u3e, and \u3ci\u3eString Symphony, III\u3c/i\u3e
Libby Larsen presents a rhythmic motive in Corker (1977), Slang (1994) and “Ferocious Rhythm” from String Symphony (1999) as more than a memorable melody or tune. Her rhythmic motive has multiple connections within each piece. It has value and purpose that can be explained through multiple musical parameters. Larsen varies the application of her signature motive in these pieces over a period of 20 years. Its general rhythmic structure is a common thread that links these three works together, but the overall motive is used in individualized ways in each of the pieces.
This thesis will demonstrate that the rhythmic motive (labeled the Larsen Motive in this research) is a portal into understanding Libby Larsen’s compositional approaches by exploring the Larsen Motive’s local and global impacts on Corker, Slang, and “Ferocious Rhythm.” Pitch-class analysis and musical contour theory assist in understanding the relationships that exist among the occurrences of the motive in these works. This study will show that comprehension of the Larsen Motive is a gateway to understanding her compositional voice
The influence of disease categories on gene candidate predictions from model organism phenotypes
Background The molecular etiology is still to be identified for about half of
the currently described Mendelian diseases in humans, thereby hindering
efforts to find treatments or preventive measures. Advances, such as new
sequencing technologies, have led to increasing amounts of data becoming
available with which to address the problem of identifying disease genes.
Therefore, automated methods are needed that reliably predict disease gene
candidates based on available data. We have recently developed Exomiser as a
tool for identifying causative variants from exome analysis results by
filtering and prioritising using a number of criteria including the phenotype
similarity between the disease and mouse mutants involving the gene
candidates. Initial investigations revealed a variation in performance for
different medical categories of disease, due in part to a varying contribution
of the phenotype scoring component. Results In this study, we further analyse
the performance of our cross-species phenotype matching algorithm, and examine
in more detail the reasons why disease gene filtering based on phenotype data
works better for certain disease categories than others. We found that in
addition to misleading phenotype alignments between species, some disease
categories are still more amenable to automated predictions than others, and
that this often ties in with community perceptions on how well the organism
works as model. Conclusions In conclusion, our automated disease gene
candidate predictions are highly dependent on the organism used for the
predictions and the disease category being studied. Future work on
computational disease gene prediction using phenotype data would benefit from
methods that take into account the disease category and the source of model
organism data
Design and Implementation of Acute Emergency Decision Making Tools to Aid Case Managers: A Focus Group Study
Objectives: To evaluate and determine if use of specific reference cards for diabetes, stroke, and heat stroke [1] heightened understanding of the signs and symptoms of these conditions and [2] helped case managers (CMs) on the community-based integrated multidisciplinary program of assertive community treatment (IMPACT) team better evaluate patients.
Background: Healthcare professionals who service those with a severe mental illness (SMI) diagnosis face many unique challenges. One particular challenge is medical assessment of patients with a SMI diagnosis. Often CMs do not have a background or work experience differentiating medical concerns from psychiatric signs and symptoms.
Methods: Reference cards were developed at the request of the IMPACT team. Feedback was elicited through a one-time focus group session conducted by an independent party on the use of the reference cards as an educational tool. Anonymity was maintained. The responses were evaluated for themes. The moderator asked questions regarding the reference cards in each of the following areas: usability when answering questions about hypo- and hyperglycemia, stroke and heat stroke, understanding key points, recommendations for enhancement, and presentation of information.
Results: Of the 8 CMs on the IMPACT team, 5 participated. Identified themes were quick reference and easily identifiable information. The use of pictures to illustrate the concepts was helpful. The language was appropriate for the cards and readily understandable. Suggestions for changes to the existing cards included use of a larger font, lighter background color, and moving medication information to the same side of the card. The limited availability of the heat stroke card in the summer was an identified limitation.
Conclusions: The use of reference cards as an educational tool for CMs has not been extensively reviewed. Although data are limited from this pilot project, the CMs are enthusiastic about this resource and requested cards on additional topics
Development of a Medication Monitoring System for an Integrated Multidisciplinary Program of Assertive Community Treatment (IMPACT) Team
Purpose: The primary goal was to improve medication management oversight for a severely mentally ill (SMI) community-based population by developing a medication monitoring system based on current guidelines to optimize pharmacotherapy and minimize potential medication-related adverse effects. The secondary goal was improvement in coordination of care between healthcare providers. Methods: Guidelines for medication used for psychiatric indications were reviewed. A database of medication for psychiatric indications with monitoring recommendation was developed. Results: Medication regimens for 68 members of the Integrated Multidisciplinary Program of Assertive Community Treatment (IMPACT) program qualified for review. Fourteen medications, carbamazepine, chlorpromazine, clozapine, fluphenazine and fluphenazine long-acting injections (LAI), haloperidol and haloperidol LAI, lithium, lurasidone, olanzapine, paliperidone and paliperidone LAI, perphenazine, quetiapine, risperidone and risperidone LAI, valproic acid/divalproex, and ziprasidone, were identified. In total, 111 medications are used on a monthly basis. Each member receives more than one medication qualifying for review. Additional monitoring parameters that were evaluated included changes in laboratory orders for members with insulin-dependent diabetes. Annual lipid panels were changed to every 6 months, if applicable. Conclusions and Future Directions: This medication monitoring program was developed to help ensure IMPACT members receive the most effective care and minimize potential medication-related adverse effects. The secondary goal was to improve coordination of care. Medication monitoring will be added as a continuous quality assurance measure. Lab results will be reviewed at least monthly. The medication monitoring program will be evaluated annually
Development of a Medication Monitoring System for an Integrated Multidisciplinary Program of Assertive Community Treatment (IMPACT) Team
Purpose: The primary goal was to improve medication management oversight for a severely mentally ill (SMI) community-based population by developing a medication monitoring system based on current guidelines to optimize pharmacotherapy and minimize potential medication-related adverse effects. The secondary goal was improvement in coordination of care between healthcare providers.
Methods: Guidelines for medication used for psychiatric indications were reviewed. A database of medication for psychiatric indications with monitoring recommendation was developed.
Results: Medication regimens for 68 members of the Integrated Multidisciplinary Program of Assertive Community Treatment (IMPACT) program qualified for review. Fourteen medications, carbamazepine, chlorpromazine, clozapine, fluphenazine and fluphenazine long-acting injections (LAI), haloperidol and haloperidol LAI, lithium, lurasidone, olanzapine, paliperidone and paliperidone LAI, perphenazine, quetiapine, risperidone and risperidone LAI, valproic acid/divalproex, and ziprasidone, were identified. In total, 111 medications are used on a monthly basis. Each member receives more than one medication qualifying for review. Additional monitoring parameters that were evaluated included changes in laboratory orders for members with insulin-dependent diabetes. Annual lipid panels were changed to every 6 months, if applicable.
Conclusions and Future Directions: This medication monitoring program was developed to help ensure IMPACT members receive the most effective care and minimize potential medication-related adverse effects. The secondary goal was to improve coordination of care. Medication monitoring will be added as a continuous quality assurance measure. Lab results will be reviewed at least monthly. The medication monitoring program will be evaluated annually.
Type: Student Projec
Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research
Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research
Phenotype analyses, e.g. investigating metabolic processes, tissue formation, or organism behavior, are an important element of most biological and medical research activities. Biomedical researchers are making increased use of ontological standards and methods to capture the results of such analyses, with one focus being the comparison and analysis of phenotype information between species. We have generated a cross-species phenotype ontology for human, mouse and zebrafish that contains classes from the Human Phenotype Ontology, Mammalian Phenotype Ontology, and generated classes for zebrafish phenotypes. We also provide up-to-date annotation data connecting human genes to phenotype classes from the generated ontology. We have included the data generation pipeline into our continuous integration system ensuring stable and up-to-date releases. This article describes the data generation process and is intended to help interested researchers access both the phenotype annotation data and the associated cross-species phenotype ontology. The resource described here can be used in sophisticated semantic similarity and gene set enrichment analyses for phenotype data across species. The stable releases of this resource can be obtained from http://purl.obolibrary.org/obo/hp/uberpheno/
Desenvolvimento à Escala Humana na Economia Solidária: síntese de necessidades e satisfatores de trabalhadoras do segmento da produção de artesanato (Natal, 2017-2018)
O texto classifica necessidades e satisfatores de desenvolvimento à escala humana tomando como ambiente empírico empreendimentos econômicos solidários do segmento do artesanato e, como referência teórico-metodológica, a matriz de necessidades e satisfatores de Max-Neef (2012). O estudo seguiu três caminhos: revisão sistemática em nível de pós-graduação stricto sensu no Brasil; coleta de dados, via grupo focal, junto a nove empreendimentos econômicos solidários do artesanato; criação de enunciados para os achados e enquadramento na matriz. Neste texto, são abordadas vivências de artesãs combinadas às necessidades existenciais e axiológicas que aparecem com destaque nas quatro pesquisas de pós-graduação stricto sensu realizadas no Brasil. Como resultado, destacam-se a dimensão autogestionária dos empreendimentos estudados, a natureza da atividade produtiva e o perfil das trabalhadoras envolvidas – donas-de-casa, aposentadas, pensionistas – explicando a presença das necessidades axiológicas ociosidade, criação, liberdade, participação e entendimento (MAX-NEEF, 2012), e, espiritualidade (PEREIRA, 2011).
The Resource Identification Initiative: A cultural shift in publishing
A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as What other studies used resource X? To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal ( www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources
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