The Flip Side Of The Coin: An Organizational Scan Of Domestic Student Attitudes Towards Their International Counterparts

This study was prompted by one institution’s decision to make Internationalization a strategic priority.  Through ongoing internal surveys of International students, it has been possible to gauge their impressions, attitudes and areas of concern.  However, on quick review of the literature, it became apparent that there is a dearth of research on how Domestic students view their International counterparts.  The researchers set out to redress this imbalance and from the insights gained put forward recommendations to strengthen social interaction; influence teaching practice and embed an Internationalization dimension into programme curricula.  The findings paint an optimistic picture for improving the learning experience for all students through planned and well thought out interventions

Comprehensive splice-site analysis using comparative genomics

We have collected over half a million splice sites from five species—Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans and Arabidopsis thaliana—and classified them into four subtypes: U2-type GT–AG and GC–AG and U12-type GT–AG and AT–AC. We have also found new examples of rare splice-site categories, such as U12-type introns without canonical borders, and U2-dependent AT–AC introns. The splice-site sequences and several tools to explore them are available on a public website (SpliceRack). For the U12-type introns, we find several features conserved across species, as well as a clustering of these introns on genes. Using the information content of the splice-site motifs, and the phylogenetic distance between them, we identify: (i) a higher degree of conservation in the exonic portion of the U2-type splice sites in more complex organisms; (ii) conservation of exonic nucleotides for U12-type splice sites; (iii) divergent evolution of C.elegans 3′ splice sites (3′ss) and (iv) distinct evolutionary histories of 5′ and 3′ss. Our study proves that the identification of broad patterns in naturally-occurring splice sites, through the analysis of genomic datasets, provides mechanistic and evolutionary insights into pre-mRNA splicing

What is the potential of oligodendrocyte progenitor cells to successfully treat human spinal cord injury?

<p>Abstract</p> <p>Background</p> <p>Spinal cord injury is a serious and debilitating condition, affecting millions of people worldwide. Long seen as a permanent injury, recent advances in stem cell research have brought closer the possibility of repairing the spinal cord. One such approach involves injecting oligodendrocyte progenitor cells, derived from human embryonic stem cells, into the injured spinal cord in the hope that they will initiate repair. A phase I clinical trial of this therapy was started in mid 2010 and is currently underway.</p> <p>Discussion</p> <p>The theory underlying this approach is that these myelinating progenitors will phenotypically replace myelin lost during injury whilst helping to promote a repair environment in the lesion. However, the importance of demyelination in the pathogenesis of human spinal cord injury is a contentious issue and a body of literature suggests that it is only a minor factor in the overall injury process.</p> <p>Summary</p> <p>This review examines the validity of the theory underpinning the on-going clinical trial as well as analysing published data from animal models and finally discussing issues surrounding safety and purity in order to assess the potential of this approach to successfully treat acute human spinal cord injury.</p

Machine learning workflow

Machine learning pipeline using IMU and OMC data</p

Result of estimated PROM vs recorded

  Comparison of the predicted and actual patient satisfaction scores of each chosen model. [A]: Physio 2, [B]: Week 6, [C]: Month 6, [D]: Year 1.</p

Marker Set (46 makers)

A lower marker set (46 Markers) that used in treadmill walking. Shank IMU placements are coloured in orange. </p

features engineering

example of imu feature engineering workflow</p

Windowing

Backward windowing of IMU data.</p

ML Knee joint angle estimation errors - General vs Personal

Figure comparing knee kinematics models.</p

best and worst case

example of best and worst estimation from IMU models</p