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Sökning: WFRF:(Trask B)

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2.
  • Sebat, J, et al. (författare)
  • Large-scale copy number polymorphism in the human genome
  • 2004
  • Ingår i: Science (New York, N.Y.). - : American Association for the Advancement of Science (AAAS). - 1095-9203 .- 0036-8075. ; 305:5683, s. 525-528
  • Tidskriftsartikel (refereegranskat)abstract
    • The extent to which large duplications and deletions contribute to human genetic variation and diversity is unknown. Here, we show that large-scale copy number polymorphisms (CNPs) (about 100 kilobases and greater) contribute substantially to genomic variation between normal humans. Representational oligonucleotide microarray analysis of 20 individuals revealed a total of 221 copy number differences representing 76 unique CNPs. On average, individuals differed by 11 CNPs, and the average length of a CNP interval was 465 kilobases. We observed copy number variation of 70 different genes within CNP intervals, including genes involved in neurological function, regulation of cell growth, regulation of metabolism, and several genes known to be associated with disease.
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3.
  • Kingston, D. C., et al. (författare)
  • Body Orientation and Points of Contact during Laboratory-Based Machinery Egress : Investigating Adherence to Safety Guidelines
  • 2020
  • Ingår i: JOURNAL OF AGRICULTURAL SAFETY AND HEALTH. - : American Society of Agricultural and Biological Engineers (ASABE). - 1074-7583 .- 1943-7846. ; 26:3, s. 95-104
  • Tidskriftsartikel (refereegranskat)abstract
    • Mobile farm machinery operators are at a high risk of injury when entering (ingress) and exiting (egress) the cabs of such machinery due to slips and falls. Safety organizations and equipment manufacturers have delivered a consistent message: operators are to egress machines facing in, toward the access path, and maintain three points of contact at all times. This study used a laboratory-based model of a mid-sized agricultural tractor to determine adherence to best practices for safety and the effect of acute whole-body vibration exposure on compliance. The majority of 19 experienced operators (16 male, 3 female) performed machinery egress facing out from the cab because descending while facing in toward the machine took 2.5 s longer. Maintaining at least three points of contact during egress was observed for only approximately 30% of egress duration, but was as high as approximately 41% for participants who self-selected the facing-in orientation. Exposure to 1 h of whole-body vibration did not change points of contact behavior nor trial duration when performing egress while facing out. Overall, the model cab used in this study had safety features similar to a real-world machine, indicating that there may be opportunities in access path or cab door design to promote increased points of contact use. Future work is needed to accurately assess three-dimensional movement patterns and external forces for disease and injury risk models.
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5.
  • Village, J, et al. (författare)
  • Assessing whole body vibration exposure for use in epidemiological studies of back injuries: measurements, observations and self-reports
  • 2012
  • Ingår i: Ergonomics. - : Informa UK Limited. - 0014-0139 .- 1366-5847. ; 55:4, s. 415-424
  • Tidskriftsartikel (refereegranskat)abstract
    • Improved assessment of whole body vibration exposure is needed for epidemiological studies investigating the causes of low back disorders. Vibration was measured on 54 worker-days in five heavy industries, with data collected on observed and self-reported driving conditions, demographics, and vehicle characteristics. Variables significant at p<0.1 in simple linear regressions (20 of 34) were retained for mixed effects multiple regressions to determine the best prediction of rms vibration level and 8-h equivalent vibration exposure. Vibration was measured, on average, for 205 min per work shift (SD 105). Means and standard deviations in ms-2 were: x-axis 0.35 (0.19); y-axis 0.34 (0.28); z-axis 0.54 (0.23); vector sum 0.90 (0.49); and 8-h equivalent vector sum 0.70 (0.37). The final three regression models retained only 2 or 3 of the 34 variables (driving speed (<20 km/h and/or 20–40 km/h) and industry and/or vehicle type and explained up to 60% of the variance (R2=0.26–0.6))
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