An analysis of lower limb coordination variability in unilateral tasks in healthy adults: a possible prognostic tool

Interlimb coordination variability analysis can shed light into the dynamics of higher order coordination and motor control. However, it is not clear how the interlimb coordination of people with no known injuries change in similar activities with increasing difficulty. This study aimed to ascertain if the interlimb coordination variability range and patterns of healthy participants change in different unilateral functional tasks with increasing complexity and whether leg dominance affects the interlimb coordination variability. In this cross-sectional study fourteen younger participants with no known injuries completed three repeated unilateral sit-to-stands (UniSTS), step-ups (SUs), and continuous-hops (Hops). Using four inertial sensors mounted on the lower legs and thighs, angular rotation of thighs and shanks were recorded. Using Hilbert transform, the phase angle of each segment and then the continuous relative phase (CRP) of the two segments were measured. The CRP is indicative of the interlimb coordination. Finally, the linear and the nonlinear shank-thigh coordination variability of each participant in each task was calculated. The results show that the linear shank-thigh coordination variability was significantly smaller in the SUs compared to both UniSTS and Hops in both legs. There were no significant differences found between the latter two tests in their linear coordination variability. However, Hops were found to have significantly larger nonlinear shank-thigh coordination variability compared to the SUs and the UniSTS. This can be due to larger vertical and horizontal forces required for the task and can reveal inadequate motor control during the movement. The combination of nonlinear and linear interlimb coordination variability can provide more insight into human movement as they measure different aspects of coordination variability. It was also seen that leg dominance does not affect the lower limb coordination variability in participants with no known injuries. The results should be tested in participants recovering from lower limb injuries

Spartan Daily, January 11, 1940

Volume 28, Issue 63https://scholarworks.sjsu.edu/spartandaily/3010/thumbnail.jp

Spartan Daily, January 11, 1940

Volume 28, Issue 63https://scholarworks.sjsu.edu/spartandaily/3010/thumbnail.jp

The Canadian Armed Forces Advisory Training Team Tanzania 1965–1970

At the beginning of the 1960s Canada embarked on an increasingly interventionist policy in Southern Africa that included a significant number of peacekeeping, military, and technical assistance programmes1. In addition to peacekeeping efforts in the Congo (1960–64), Canada provided military assistance to Ghana (1961–68), Zambia (1965), Tanzania (1965–70) and Nigeria (1963/1968–70). While the Zambia and Nigeria missions were essentially responses to emergencies, the Ghana and Tanzania missions were more calculated affairs. To help foster democratic governments Canada agreed to assist in the establishment and training of professional armies and air forces which, when combined with governmental assistance and other infrastructure building, would firmly support a pro–Western rather than communist regime in the two countries. While the mission for Ghana began in 1961, the Canadian Armed Forces Advisory and Training Team Tanzania (CAFATTT) was officially authorized on December 8th, 1964, after Prime Minister Lester B. Pearson made the announcement in the House of Commons. Over the next five years the Canadian contingent built the Tanzanian People’s Defence Force (TPDF) from the ground up, creating everything from Tanzania’s National Defence Act to the instructional pamphlets used for teaching weapons classes. Throughout the CAFATTT mission both Russian and Chinese advisory teams who were also competing for Tanzania continuously challenged the Canadians, initiating a game of Cold War chess with all of Southern Africa as the prize. In the end, the Canadians were unable to sway Tanzania towards the west and were forced to leave only five years after they had first arrived

Restriction Inhibition Assay: A Qualitative and Quantitative Method to Screen Sequence Specific DNA Binder from Herbal Plants

Purpose: To employ restriction inhibition assay (RIA) to screen phytochemical-rich fractions (PRFs) with high affinity for EcoRI and HindIII restriction sequences and correlate their interaction to an anticancer activity.Methods: pBR322 linear plasmid DNA was used as a template to screen the sequence-selective inhibition of aqueous extracts of Cinnamomum zeylanicum and Picrorhiza kurroa, respectively. The template was further incubated with different concentrations of PRFs prior to digestion with restriction endonucleases HindIII and EcoRI. The Expressed Sequence Tags (ESTs) and Sequence Tag Sites (STS) of oncogenes were screened for the presence of EcoRI and HindIII restriction sequences to associate an anticancer property to PRF.Results: The inhibitory concentrations of Cinnamomum zeylanicum aqueous extract against HindIII and EcoRI endonucleases were approximately 2.5 and 5 μg/μl, respectively. No binding was observed for Picrorhiza kurroa at both HindIII and EcoRI restriction sites. The saponin-rich fractions of Cinnamomum zeylanicum showed significant (p < 0.001) inhibition as compared to control at concentrations of 0.28±1.45 μg/μl for EcoRI and 0.11±2.68 μg/μl for HindIII endonucleases. Both EcoRI and HindIII restriction sites were found repeatedly in the STS and ESTs of BRCA2, the early onset oncogene.Conclusion: The inhibition of endonucleases by phytochemical-rich fractions provides direct evidence of the use of RIA for screening as well as demonstrating the binding specificity of these PRFs. The presence of 5’-AAGCTT-3’ & 5’-GAATTC-3’ in the ESTs of BRAC2 provides an insight into the use of screened components as leads in the search for novel anticancer compounds.Keywords: Restriction endonucleases, Restriction sites, Phytochemicals, Restriction inhibition assay (RIA), Binding specificity, Oncogenes, Sequence tag sites, Expressed sequence tag, Anticancer

Statistical Viewer: a tool to upload and integrate linkage and association data as plots displayed within the Ensembl genome browser

BACKGROUND: To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotation tools are essential to integrate, visualize and analyze vast quantities of disparate data generated by genomic screens, public human genome sequence annotation and ancillary biological databases. We have developed a plug-in package for Ensembl called "Statistical Viewer" that facilitates the analysis of genomic features and annotation in the regions of interest defined by linkage analysis. RESULTS: Statistical Viewer is an add-on package to the open-source Ensembl Genome Browser and Annotation System that displays disease study-specific linkage and/or association data as 2 dimensional plots in new panels in the context of Ensembl's Contig View and Cyto View pages. An enhanced upload server facilitates the upload of statistical data, as well as additional feature annotation to be displayed in DAS tracts, in the form of Excel Files. The Statistical View panel, drawn directly under the ideogram, illustrates lod score values for markers from a study of interest that are plotted against their position in base pairs. A module called "Get Map" easily converts the genetic locations of markers to genomic coordinates. The graph is placed under the corresponding ideogram features a synchronized vertical sliding selection box that is seamlessly integrated into Ensembl's Contig- and Cyto- View pages to choose the region to be displayed in Ensembl's "Overview" and "Detailed View" panels. To resolve Association and Fine mapping data plots, a "Detailed Statistic View" plot corresponding to the "Detailed View" may be displayed underneath. CONCLUSION: Features mapping to regions of linkage are accentuated when Statistic View is used in conjunction with the Distributed Annotation System (DAS) to display supplemental laboratory information such as differentially expressed disease genes in private data tracks. Statistic View is a novel and powerful visual feature that enhances Ensembl's utility as valuable resource for integrative genomic-based approaches to the identification of candidate disease susceptibility genes. At present there are no other tools that provide for the visualization of 2-dimensional plots of quantitative data scores against genomic coordinates in the context of a primary public genome annotation browser

Gallus GBrowse: a unified genomic database for the chicken

Gallus GBrowse (http://birdbase.net/cgi-bin/gbrowse/gallus/) provides online access to genomic and other information about the chicken, Gallus gallus. The information provided by this resource includes predicted genes and Gene Ontology (GO) terms, links to Gallus In Situ Hybridization Analysis (GEISHA), Unigene and Reactome, the genomic positions of chicken genetic markers, SNPs and microarray probes, and mappings from turkey, condor and zebra finch DNA and EST sequences to the chicken genome. We also provide a BLAT server (http://birdbase.net/cgi-bin/webBlat) for matching user-provided sequences to the chicken genome. These tools make the Gallus GBrowse server a valuable resource for researchers seeking genomic information regarding the chicken and other avian species

A QTL Resource and Comparison Tool for Pigs: PigQTLDB

During the past decade, efforts to map quantitative trait loci (QTL) in pigs have resulted in hundreds of QTL being reported for growth, meat quality, reproduction, disease resistance, and other traits. It is a challenge to locate, interpret, and compare QTL results from different studies. We have developed a pig QTL database (PigQTLdb) that integrates available pig QTL data in the public domain, thus, facilitating the use of this QTL data in future studies. We also developed a pig trait classification system to standardize names of traits and to simplify organization and searching of the trait data. These steps made it possible to compare primary data from diverse sources and methods. We used existing pig map databases and other publicly available data resources (such as PubMed) to avoid redundant developmental work. The PigQTLdb was also designed to include data representing major genes and markers associated with a large effect on economically important traits. To date, over 790 QTL from 73 publications have been curated into the database. Those QTL cover more than 300 different traits. The data have been submitted to the Entrez Gene and the Map Viewer resources at NCBI, where the information about markers was matched to marker records in NCBI’s UniSTS database. Having these data in a public resource like NCBI allows regularly updated automatic matching of markers to public sequence data by e-PCR. The submitted data, and the results of these calculations, are retrievable from NCBI via Entrez Gene, Map Viewer, and UniSTS. Efforts were undertaken to improve the integrated functional genomics resources for pigs