Markerless motion capture: What clinician-scientists need to know right now

National Institutes of Health R37-HD037985 provided tuition and stipend support for NI’s work. NIH R01-AR072034 provided stipend support for HBS and tuition and stipend support for KDS’s work. NIH F31-AR078580 and Foundation for Physical Therapy Research PODS II Scholarship provided tuition and stipend support for EKA's work.Peer reviewe

Preparation of name and address data for record linkage using hidden Markov models

BACKGROUND: Record linkage refers to the process of joining records that relate to the same entity or event in one or more data collections. In the absence of a shared, unique key, record linkage involves the comparison of ensembles of partially-identifying, non-unique data items between pairs of records. Data items with variable formats, such as names and addresses, need to be transformed and normalised in order to validly carry out these comparisons. Traditionally, deterministic rule-based data processing systems have been used to carry out this pre-processing, which is commonly referred to as "standardisation". This paper describes an alternative approach to standardisation, using a combination of lexicon-based tokenisation and probabilistic hidden Markov models (HMMs). METHODS: HMMs were trained to standardise typical Australian name and address data drawn from a range of health data collections. The accuracy of the results was compared to that produced by rule-based systems. RESULTS: Training of HMMs was found to be quick and did not require any specialised skills. For addresses, HMMs produced equal or better standardisation accuracy than a widely-used rule-based system. However, acccuracy was worse when used with simpler name data. Possible reasons for this poorer performance are discussed. CONCLUSION: Lexicon-based tokenisation and HMMs provide a viable and effort-effective alternative to rule-based systems for pre-processing more complex variably formatted data such as addresses. Further work is required to improve the performance of this approach with simpler data such as names. Software which implements the methods described in this paper is freely available under an open source license for other researchers to use and improve

Crop Updates 2000 - Pulses

This session covers fifty nine papers from different authors: 1.1999 PULSE INDUSTRY HIGHLIGHTS 2. CONTRIBUTORS 3. BACKGROUND 4. SUMMARY OF PREVIOUS RESULTS 5. 1999 REGIONAL ROUNDUP 6. Northern Agricultural Region, W. O’Neill, AGWEST 7. Central Agricultural Region J. Russell and R.J. French AGWEST 8. Great Southern and Lakes N. Brandon, C. Gaskin and N. Runciman, AGWEST 9. Esperance Mallee M. Seymour, AGWEST PULSE PRODUCTION AGRONOMY AND GENETIC IMPROVEMENT 10. Faba Bean 11. Desi chickpea Traits associated with drought resistance in chickpea, J. Berger, N.C. Turner, CLIMA and CSIRO Plant Industry, R.J. French, AGWEST, R. Carpenter, C. Ludwig and R. Kenney, CSIRO Plant Industry 12. Genotype x environment analysis of chickpea adaptation, J. Berger and N. Turner, CLIMA and CSIRO Plant Industry, and K.H.M. Siddique, AGWEST 13. Carbon fixation by chickpea pods under terminal drought, Q. Ma, CLIMA, M.H. Behboudian, Massey University, New Zealand, N.C. Turner and J.A. Palta, CLIMA, and CSIRO Plant Industry 14. Influence of terminal drought on growth and seed quality, M.H. Behboudian, Massey University, New Zealand, Q. Ma, CLIMA, N.C. Turner and J.A. Palta, CSIRO Plant Industry 15. Resistance to chilling at flowering and to budworm, H. Clarke, CLIMA Chickpea nodulation survey, J. Stott and J. Howieson, Centre for Rhizobium Studies, Murdoch University 16. Kabuli chickpea 17. Premium quality kabuli chickpea development in the ORIA, K.H.M. Siddique CLIMA and AGWEST, K.L. Regan, AGWEST, R. Shackles, AGWEST 18. International screening for Ascochyta blight resistance, K.H.M. Siddique CLIMA and AGWEST, C. Francis, CLIMA, K.L. Regan, AGWEST, N. Acikgoz and N. Atikyilmaz, AARI, Turkey and R.S. Malholtra, ICARDA, Syria 19. Agronomic evaluation of Ascochyta resistant kabuli germplasm in WA, K.H.M. Siddique CLIMA and AGWESTC. Francis, CLIMA, K.L. Regan and M. Baker, AGWEST 20. Field Pea 21. Lentil 22. ACIAR project J. Clements, K.H.M. Siddique CLIMA and AGWEST and C. Francis CLIMA 23. Vetch 24. Rust, M. Seymour, AGWEST 25. Narbon bean 26. Agronomy, M. Seymour, AGWEST 27. Lupinus species 28. Screening lupins for tolerance to alkaline/calcareous soils, C. Tang, CLIMA andUniversity of WAand J.D. Brand, WAITE, University of Adelaide 29. Lathyrus development, C. Hanbury and K.H.M. Siddique, CLIMA and AGWEST 30. Sheep feeding studies, C. White, CSIRO, Perth, C. Hanbury, CLIMA and K.H.M. Siddique, CLIMA and AGWEST 31. Lathyrus: a potential new ingredient in pig diets, B.P. Mullan, C.D. Hanbury and K.H.M. Siddique, AGWEST 32. Species comparison 33. Species for horticultural rotations, K.H.M. Siddique, AGWEST, R. Lancaster and I. Guthridge AGWEST 34. Marrow fat field pea shows promise in the southwest, K.H.M. Siddique, AGWEST, N. Runciman, AGWEST, and I. Pritchard, AGWEST, 35. Pulses on grey clay soils, P. Fisher, M. Braimbridge, J. Bignell, N. Brandon, R. Beermier, W. Bowden, AGWEST 36. Nutrient management of pulses 37. Summary of pulse nutrition studies in WA, M.D.A. Bolland, K.H.M. Siddique, G.P. Riethmuller, and R.F. Brennan, AGWEST 38. Pulse species response to phosphorus and zinc, S. Lawrence, Zed Rengel, University of WA, S.P. Loss, CSBP futurefarm, M.D.A. Bolland, .H.M. Siddique, W. Bowden, AGWEST 39. Gypsum 40. Antitranspirants seed priming DEMONSTRATION OF PULSES IN THE FARMING SYSTEM 41. Foliar and soil applied nutrients for field peas in the south coast mallee,M. Seymour, AGWEST, and P. Vedeniapine, Phosyn Ltd 42. Demonstration of pulse species at Kendenup, C. Kirkwood, Farmer, Katanning, R. Beermier, N. Runciman and N. Brandon, AGWEST 43. Kabuli chickpea demonstration at Gnowangerup, R. Beermier and N. Brandon, AGWEST 44. Lathyrus sativus demonstration at Mindarabin, N. Brandon and R. Beermier, AGWEST 45. New field pea varieties in the central eastern region, J. Russell, AGWEST DISEASE AND PEST MANAGEMENT 46. Ascochyta blight of chickpea 47. Botrytis grey mould (BGM) of chickpea 48. Fungal disease diagnostics, Pulse disease diagnostics, D. Wright, AGWEST Plant Laboratories 49. Viruses in pulses, Luteovirus infection in field pea and faba bean crops, and viruses in seed, L. Latham, CLIMA and AGWEST, R. Jones, AGWEST 50. Screening of pulse species for pea seed-borne mosaic virus, L. Latham, CLIMAand AGWEST, and R. Jones, AGWEST 51. CMV in chickpea: effect of seed-borne sources on virus spread and seed yield, R. Jones, AGWEST and L. Latham, CLIMA and AGWEST 52. Insect pests 53. Evaluation of transgenic field pea against the pea weevil,M.J. de Sousa Majer, School of Environmental Biology, Curtin University of Technology,, D. Hardie, and N.C. Turner, CSIRO Division of Plant Industry 54. Development of a molecular marker for pea weevil resistance in field pea, Oonagh Byrne, CLIMA, Darryl Hardie, AGWEST and Penny Smith, UWA 55. Aphid feeding damage to faba bean and lentil crops, Françoise Berlandier, AGWEST 56. Taxonomy and control of bruchids in pulses, N. Keals, CLIMA, D. Hardie and R. Emery, AGWEST, 57. ACKNOWLEDGMENTS 58. PUBLICATIONS BY PULSE PRODUCTIVITY PROJECT STAFF 59. VARIETIES PRODUCED AND COMMERCIALLY RELEASE

The Effect of Nordic Hamstring Strength Training on Muscle Architecture, Stiffness, and Strength

Purpose: Hamstring strain injury is a frequent and serious injury in competitive and recreational sports. While Nordic hamstring (NH) eccentric strength training is an effective hamstring injury prevention method, the protective mechanism of this exercise is not understood. Strength training increases muscle strength, but also alters muscle architecture and stiffness; all three factors may be associated with reducing muscle injuries. The purpose of this study was to examine the effects of NH eccentric strength training on hamstring muscle architecture, stiffness, and strength. Methods: Twenty healthy participants were randomly assigned to an eccentric training group or control group. Control participants performed static stretching, while experimental participants performed static stretching and NH training for 6 weeks. Pre- and post-intervention measurements included: hamstring muscle architecture and stiffness using ultrasound imaging and elastography, and maximal hamstring strength measured on a dynamometer. Results: The experimental group, but not the control group, increased volume (131.5 vs. 145.2 cm3, p\u3c0.001) and physiological cross-sectional area (16.1 vs. 18.1 cm2, p=0.032). There were no significant changes to muscle fascicle length, stiffness, or eccentric hamstring strength. Conclusions: The NH intervention was an effective training method for muscle hypertrophy, but, contrary to common literature findings for other modes of eccentric training, did not increase fascicle length. The data suggest the mechanism behind NH eccentric strength training mitigating hamstring injury risk could be increasing volume rather than increasing muscle length. Future research is therefore warranted to determine if muscle hypertrophy induced by NH training lowers future hamstring strain injury risk