2,089 research outputs found
Seniors Assisting in Geriatric Education (SAGE): Reynolds Program addresses the lack of training in geriatrics and provides a model for interprofessional education
Reynolds IGET-IT Program
• DW Reynolds Mission for geriatric education: “Improving the quality of life of America’s growing elderly population through better training of physicians in geriatrics.”
• Seniors Assisting in Geriatric Education (SAGE) Program addressed the lack of geriatric skills training through the implementation of a senior mentor program for (medical) health professions students
WekaDeeplearning4j: A deep learning package for weka based on Deeplearning4j
Deep learning is a branch of machine learning that generates multi-layered representations of data, commonly using artificial neural networks, and has improved the state-of-the-art in various machine learning tasks (e.g., image classification, object detection, speech recognition, and document classification). However, most popular deep learning frameworks such as TensorFlow and PyTorch require users to write code to apply deep learning. We present WekaDeeplearning4j, a Weka package that makes deep learning accessible through a graphical user interface (GUI). The package uses Deeplearning4j as its backend, provides GPU support, and enables GUI-based training of deep neural networks such as convolutional and recurrent neural networks. It also provides pre-processing functionality for image and text data
Exploration Technologies for Operations
Although the International Space Station (ISS) assembly has been completed, the Operations support teams continue to seek more efficient and effective ways to prepare for and conduct the ISS operations and future exploration missions beyond low earth orbit. This search for improvement has led to a significant collaboration between the NASA research and advanced software development community at NASA Ames Research Center and the Mission Operations community at NASA Johnson Space Center. Since 2001, NASA Ames Research Center has been developing and applying its advanced intelligent systems and human systems integration research to mission operations tools for several of the unmanned Mars missions operations. Since 2006, NASA Ames Research Center has also been developing and applying its advanced intelligent systems and human systems integration research to mission operations tools for manned operations support with the Mission Operations Directorate at NASA Johnson Space Center. This paper discusses the completion of the development and deployment of a variety of intelligent and human systems technologies adopted for manned mission operations. The technologies associated with the projects include advanced software systems for operations and human-centered computing. Human-centered computing looks to the processes and procedures that people do to perform any given job, then attempts to identify opportunities to improve these processes and procedures. In particular, for mission operations, improvements are quantified by specifically identifying how a tool can increase a persons efficiency, enhance a persons functional capability, andor improve the assurance of a persons decisions. The Ames development team has collaborated with the Mission Operations team to identify areas of efficiencies through technology infusion applications in support of the Plan, Train, and Fly activities of human-spaceflight mission operations. The specific applications discussed in this paper are in the areas of mission planning systems, mission operations design modeling and workflow automation, advanced systems monitoring, mission control technologies, search tools, training management tools, spacecraft solar array management, spacecraft power management, and spacecraft attitude planning. We discuss these specific projects between the Ames Research Center and the Johnson Space Centers Mission Operations Directorate, and how these technologies and projects are enhancing the mission operations support for the International Space Station. We also discuss the challenges, problems, and successes associated with long-distance and multi-year development projects between the research team at Ames and the Mission Operations customers at Johnson Space center. Finally, we discuss how these technology infusion applications and underlying technologies might be used in the future to support on-board operations of the crew and spacecraft systems as human exploration expands beyond low earth orbit to destinations in the solar system where communications delays will require more on-board autonomy and planning by the crew. Longer communications delays will require that the ground mission operations support will be primarily strategic in nature, while the tactical level of planning, systems monitoring and control, and failure analysisisolationrecovery will be the responsibility of both the spacecraft autonomous systems and the crew. Our expectation is that the technologie
Studies on Methanocaldococcus jannaschii RNase P reveal insights into the roles of RNA and protein cofactors in RNase P catalysis
Ribonuclease P (RNase P), a ribonucleoprotein (RNP) complex required for tRNA maturation, comprises one essential RNA (RPR) and protein subunits (RPPs) numbering one in bacteria, and at least four in archaea and nine in eukarya. While the bacterial RPR is catalytically active in vitro, only select euryarchaeal and eukaryal RPRs are weakly active despite secondary structure similarity and conservation of nucleotide identity in their putative catalytic core. Such a decreased archaeal/eukaryal RPR function might imply that their cognate RPPs provide the functional groups that make up the active site. However, substrate-binding defects might mask the ability of some of these RPRs, such as that from the archaeon Methanocaldococcus jannaschii (Mja), to catalyze precursor tRNA (ptRNA) processing. To test this hypothesis, we constructed a ptRNA-Mja RPR conjugate and found that indeed it self-cleaves efficiently (kobs, 0.15 min−1 at pH 5.5 and 55°C). Moreover, one pair of Mja RPPs (POP5-RPP30) enhanced kobs for the RPR-catalyzed self-processing by ∼100-fold while the other pair (RPP21-RPP29) had no effect; both binary RPP complexes significantly reduced the monovalent and divalent ionic requirement. Our results suggest a common RNA-mediated catalytic mechanism in all RNase P and help uncover parallels in RNase P catalysis hidden by plurality in its subunit make-up
Polarity specific effects of cross-hemispheric tDCS coupled with approach-avoidance training on chocolate craving
Transcranial Direct Current Stimulation (tDCS) over the Dorsolateral Prefrontal Cortex (DLPFC) has already been shown to decrease craving for food. However, it remains unclear whether a single session of tDCS combined with a cognitive bias modification (CBM) task may affect explicit and implicit measures of craving for chocolate. Fifty-one healthy volunteers (38 females; mean age: 22.12 +/- 3.38) were randomly allocated to CBM training based on the Approach Avoidance task and either Sham, Right anodal-Left cathodal (RALC), or Left anodal-Right cathodal (LARC) tDCS. Results show that there was an increase in the explicit craving for chocolate, as assessed by the Visual Analog Scale [F(2, 46) = 3.239, p = 0.048], from the baseline to post-intervention. Participants which received LARC tDCS were explicitly self-reporting more craving for chocolate than those that received RALC tDCS (p = 0.023). Moreover, this effect was also observed on the implicit measure [F(2, 46) = 4.168, p = 0.022]. LARC tDCS significantly increased the implicit preference for chocolate when comparing to both RALC (p = 0.009) and Sham tDCS (p = 0.034). Previous studies have shown that RALC tDCS over the PFC is able to effectively decrease craving for food. Interestingly, the present data not only does not reproduce such result, but instead it suggests that LARC tDCS can actually increase the preference for chocolate. This result is compatible with recent models of brain laterality, in which cue craving seems to be more dependent on the left hemisphere. Thus, shifting the activity to the left hemisphere (while simultaneously reducing the activity over the homotopic region) may have led to this increased implicit as well as explicit preference for chocolate.This work was partially supported by Funded with National Funds through the Portuguese Foundation for Science and Technology (FCT) and co-funded through COMPETE 2020 - PO Competitividade e Internacionalizacao/Portugal 2020/Uniao Europeia, FEDER (Fundos Europeus Estruturais e de Investimento - FEEI) under the number: PTDC/PSI-ESP/30280/2017. SC was funded by the Portuguese Foundation for Science and Technology (FCT) with the Grant IF/00091/2015 and under FCT and COMPETE 2020 (PTDC/PSI-ESP/29701/2017). JL was funded also through FCT and COMPETE (P2020-PTDC/MHC-PCN/3950/2014) and from an internal grant from Portucalense University
Germline Genetic Variants and Pediatric Rhabdomyosarcoma Outcomes: A Report From the Children’s Oncology Group
BACKGROUND: Relative to other pediatric cancers, survival for rhabdomyosarcoma (RMS) has not improved in recent decades, suggesting the need to enhance risk stratification. Therefore, we conducted a genome-wide association study for event-free survival (EFS) and overall survival (OS) to identify genetic variants associated with outcomes in individuals with RMS.
METHODS: The study included 920 individuals with newly diagnosed RMS who were enrolled in Children\u27s Oncology Group protocols. To assess the association of each single nucleotide polymorphism (SNP) with EFS and OS, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) using multivariable Cox proportional hazards models, adjusted for clinical covariates. All statistical tests were two sided. We also performed stratified analyses by histological subtype (alveolar and embryonal RMS) and carried out sensitivity analyses of statistically significant SNPs by PAX3/7-FOXO1 fusion status and genetic ancestry group.
RESULTS: We identified that rs17321084 was associated with worse EFS (HR = 2.01, 95% CI = 1.59 to 2.53, P = 5.39 × 10-9) and rs10094840 was associated with worse OS (HR = 1.84, 95% CI = 1.48 to 2.27, P = 2.13 × 10-8). Using publicly available data, we found that rs17321084 lies in a binding region for transcription factors GATA2 and GATA3, and rs10094840 is associated with SPAG1 and RNF19A expression. We also identified that CTNNA3 rs2135732 (HR = 3.75, 95% CI = 2.34 to 5.99, P = 3.54 × 10-8) and MED31 rs74504320 (HR = 3.21, 95% CI = 2.12 to 4.86, P = 3.60 × 10-8) were associated with worse OS among individuals with alveolar RMS.
CONCLUSIONS: We demonstrated that common germline variants are associated with EFS and OS among individuals with RMS. Additional replication and investigation of these SNP effects may further support their consideration in risk stratification protocols
RNA binding properties of conserved protein subunits of human RNase P
Human nuclear RNase P is required for transcription and processing of tRNA. This catalytic RNP has an H1 RNA moiety associated with ten distinct protein subunits. Five (Rpp20, Rpp21, Rpp25, Rpp29 and Pop5) out of eight of these protein subunits, prepared in refolded recombinant forms, bind to H1 RNA in vitro. Rpp20 and Rpp25 bind jointly to H1 RNA, even though each protein can interact independently with this transcript. Nuclease footprinting analysis reveals that Rpp20 and Rpp25 recognize overlapping regions in the P2 and P3 domains of H1 RNA. Rpp21 and Rpp29, which are sufficient for reconstitution of the endonucleolytic activity, bind to separate regions in the catalytic domain of H1 RNA. Common themes and discrepancies in the RNA-protein interactions between human nuclear RNase P and its related yeast and archaeal counterparts provide a rationale for the assembly of the fully active form of this enzyme
Evidence of two lineages of the dengue vector Aedes aegypti in the Brazilian Amazon, based on mitochondrial DNA ND4 gene sequences
Genetic variation was estimated in ten samples populations of Aedes aegypti from the Brazilian Amazon, by using a 380 bp fragment of the mitochocondrial NADH dehydrogenase subunit 4 (ND4) gene. A total of 123 individuals were analyzed, whereby 13 haplotypes were found. Mean genetic diversity was slightly high (h = 0.666 ± 0.029; π = 0.0115 ± 0.0010). Two AMOVA analyses indicated that most of the variation (~70%-72%) occurred within populations. The variation found among and between populations within the groups disclosed lower, but even so, highly significant values. FST values were not significant in most of the comparisons, except for the samples from Pacaraima and Rio Branco. The isolation by distance (IBD) model was not significant (r = 0.2880; p = 0.097) when the samples from Pacaraima and Rio Branco were excluded from the analyses, this indicating that genetic distance is not related to geographic distance. This result may be explained either by passive dispersal patterns (via human migrations and commercial exchange) or be due to the recent expansion of this mosquito in the Brazilian Amazon. Phylogenetic relationship analysis showed two genetically distinct groups (lineages) within the Brazilian Amazon, each sharing haplotypes with populations from West Africa and Asia
Archaeal/Eukaryal RNase P: subunits, functions and RNA diversification
RNase P, a catalytic ribonucleoprotein (RNP), is best known for its role in precursor tRNA processing. Recent discoveries have revealed that eukaryal RNase P is also required for transcription and processing of select non-coding RNAs, thus enmeshing RNase P in an intricate network of machineries required for gene expression. Moreover, the RNase P RNA seems to have been subject to gene duplication, selection and divergence to generate two new catalytic RNPs, RNase MRP and MRP-TERT, which perform novel functions encompassing cell cycle control and stem cell biology. We present new evidence and perspectives on the functional diversification of the RNase P RNA to highlight it as a paradigm for the evolutionary plasticity that underlies the extant broad repertoire of catalytic and unexpected regulatory roles played by RNA-driven RNPs
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