A bibliographic metadata infrastructure for the twenty-first century

The current library bibliographic infrastructure was constructed in the early days of computers – before the Web, XML, and a variety of other technological advances that now offer new opportunities. General requirements of a modern metadata infrastructure for libraries are identified, including such qualities as versatility, extensibility, granularity, and openness. A new kind of metadata infrastructure is then proposed that exhibits at least some of those qualities. Some key challenges that must be overcome to implement a change of this magnitude are identified

Characterisation of Shiga toxin-producing Escherichia coli O157 strains isolated from humans in Argentina, Australia and New Zealand

Background: Shiga toxin-producing Escherichia coli (STEC) is an important cause of bloody diarrhoea (BD), non-bloody diarrhoea (NBD) and the haemolytic uraemic syndrome (HUS). In Argentina and New Zealand, the most prevalent STEC serotype is O157:H7, which is responsible for the majority of HUS cases. In Australia, on the other hand, STEC O157:H7 is associated with a minority of HUS cases. The main aims of this study were to compare the phenotypic and genotypic characteristics of STEC O157 strains isolated between 1993 and 1996 from humans in Argentina, Australia and New Zealand, and to establish their clonal relatedness. Results: Seventy-three O157 STEC strains, isolated from HUS (n = 36), BD (n = 20), NBD (n = 10), or unspecified conditions (n = 7) in Argentina, Australia and New Zealand, were analysed. The strains were confirmed to be E. coli O157 by biochemical tests and serotyping. A multiplex polymerase chain reaction (PCR) was used to amplify the stx1, stx2 and rfbO157 genes and a genotyping method based on PCR-RFLP was used to determine stx1 and stx2 variants. This analysis revealed that the most frequent stx genotypes were stx2/stx 2c (vh-a) (91%) in Argentina, stx2 (89%) in New Zealand, and stx1/stx2 (30%) in Australia. No stx 1-postive strains were identified in Argentina or New Zealand. All strains harboured the eae gene and 72 strains produced enterohaemolysin (EHEC-Hly). The clonal relatedness of strains was investigated by phage typing and pulsed-field gel electrophoresis (PFGE). The most frequent phage types (PT) identified in Argentinian, Australian, and New Zealand strains were PT49 (n = 12), PT14 (n = 9), and PT2 (n = 15), respectively. Forty-six different patterns were obtained by XbaI-PFGE; 37 strains were grouped in 10 clusters and 36 strains showed unique patterns. Most clusters could be further subdivided by BlnI-PFGE. Conclusion: STEC O157 strains isolated in Argentina, Australia, and New Zealand differed from each other in terms of stx-genotype and phage type. Additionally, no common PFGE patterns were found in strains isolated in the three countries. International collaborative studies of the type reported here are needed to detect and monitor potentially hypervirulent STEC clones.Fil: Leotta, Gerardo Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud “Dr. C. G. Malbrán”; ArgentinaFil: Miliwebsky, Elizabeth S.. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud “Dr. C. G. Malbrán”; ArgentinaFil: Chinen, Isabel. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud “Dr. C. G. Malbrán”; ArgentinaFil: Espinosa, Estela M.. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud “Dr. C. G. Malbrán”; ArgentinaFil: Azzopardi, Kristy. University of Melbourne; AustraliaFil: Tennant, Sharon M.. University of Melbourne; AustraliaFil: Robins Browne, Roy M.. University of Melbourne; AustraliaFil: Rivas, Marta. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud “Dr. C. G. Malbrán”; Argentin

Characterisation of atypical enteropathogenic E. coli strains of clinical origin

BACKGROUND: Enteropathogenic E. coli (EPEC) is a prominent cause of diarrhoea, and is characterised in part by its carriage of a pathogenicity island: the locus for enterocyte effacement (LEE). EPEC is divided into two subtypes according to the presence of bundle-forming pili (BFP), a fimbrial adhesin that is a virulence determinant of typical EPEC (tEPEC), but is absent from atypical EPEC (aEPEC). Because aEPEC lack BFP, their virulence has been questioned, as they may represent LEE-positive Shiga toxin-producing E. coli (STEC) that have lost the toxin-encoding prophage, or tEPEC that have lost the genes for BFP. To determine if aEPEC isolated from humans in Australia or New Zealand fall into either of these categories, we undertook phylogenetic analysis of 75 aEPEC strains, and compared them with reference strains of EPEC and STEC. We also used PCR and DNA hybridisation to determine if aEPEC carry virulence determinants that could compensate for their lack of BFP. RESULTS: The results showed that aEPEC are highly heterogeneous. Multilocus sequence typing revealed that 61 of 75 aEPEC strains did not belong to known tEPEC or STEC clades, and of those that did, none expressed an O:H serotype that is frequent in tEPEC or STEC strains associated with disease. PCR for each of 18 known virulence-associated determinants of E. coli was positive in less than 15% of strains, apart from NleB which was detected in 30%. Type I fimbriae were expressed by all aEPEC strains, and 12 strains hybridised with DNA probes prepared from either bfpA or bfpB despite being negative in the PCR for bfpA. CONCLUSION: Our findings indicate that clinical isolates of aEPEC obtained from patients in Australia or New Zealand are not derived from tEPEC or STEC, and suggest that functional equivalents of BFP and possibly type I fimbriae may contribute to the virulence of some aEPEC strains

Crop Updates 2000 Cereals - part 3

This session covers eighteen papers from different authors: BARLEY AND OAT AGRONOMY 1. Unicorn barley must meet malting specifications to be a viable option, Roslyn Jettnerand Blakely Paynter, Agriculture Western Australia 2. Optimum oat seed rates, Glenn McDonald, Agriculture Western Australia 3. Production and Quality of export Oaten Hay (1998 and 1989), Pierre Fievez, Pierre Fievez and Associates FROST 4. Climatology of Frost in Southern Western Australia, Ian Foster, Agriculture Western Australia 5. Flowering calculator, David Tennant, Agriculture Western Australia 6. Some options for managing the risk of frost damage, Wal Anderson, Agriculture Western Australia PASTURE 7. TIMERITE® Control of redlegged earth mite in south western Australia with a spring spray to pastures, James Ridsdill-Smith and Celia Pavri, CSIRO Entomology, University of Western Australia 8. The pattern of seed softening in subterranean clover in relation to presicted false break risk, Ross Chapman and Senthold Asseng, CSIRO Plant Industry, Centre for Mediterranean Agricultural Research 9. Charano serradella – a viable option for 1:1 cropping, Steve Carr and Brad Nutt IAMA Agri-Services Western Australia and Centre for Legumes in Mediterranean Agriculture, University of Western Australia 10. Alfalfa mosaic virus in alternative annual pasture and forage legumes, Lindrea Latham and Roger Jones, Crop Improvement Institute, Agriculture Western Australia and Centre for Legumes in Mediterranean Agriculture, University of Western Australia 11. Pasture mixture performs better than single-species-based pasture – 1999, Anyou Liu, Clinton Revell and David Ferris, Centre for Cropping Systems, Agriculture Western Australia 12. Better pasture management improves performance of following crops – 1999, Anyou Liu, Clinton Revell and David Ferris, Centre for Cropping Systems, Agriculture Western Australia 13. Lucerne Benefits Crop Production, Roy Latta1, Lisa-Jane Blacklow2, Chris Matthews1 1Agriculture Western Australia 2University of Western Australia 14. Does size count? Determining optimum release number of red apion for biocontrol of doublegee, Tim Woodburn and Paul Yeoh, CSIRO Entomology/CRC Weed Management Systems, Perth 15. Herbicide tolerance of some new cultivars of annual pasture legumes, Clinton Revell and Ian Rose, Centre for Cropping Systems, Agriculture Western Australia 16. Lucerne – crop rotations in the Esperance region, Anita Lyons, Roy Latta and Chris Matthews,Agriculture Western Australia PRECISION AGRICULTURE 17. Assessing the results of on-farm experiments using yield monitors, Simon Cook and Matthew Adams, CSIRO Land and Water 18. Achiever: A GIS based achievable yield and fertiliser recommendation system for precision agriculture, Robert J. Corner, Matthew L. Adams, Precision Agriculture Research Group CSIRO Land and Wate

Crop Updates 2005 - Katanning

This session covers twenty five papers from different authors KEYNOTE How Farmers Can Work Together for a More Sustainable and Profitable Business, Brian McAlpine Farmer, Nuffield Scholar GENERAL 2005 Seasonal Outlook, David Stephens and Nicola Telcik, Department of Agriculture Essentials for cereal leaf disease management, K. Jayasena, R. Loughman, G. Thomas, C. Beard, and B. Paynter, Department of Agriculture Benefits to the grower of grain licensing, Colin Mann, Grain Licensing Authority SOIL & NUTRIENTS The effect of higher nitrogen fertiliser prices on rotation and fertiliser strategies in cropping systems, Ross Kingwell, Department of Agriculture Effect of stubble burning and seasonality on microbial processes and nutrient cycling, Francis Hoyle, University of Western Australia Soil Biology and Crop Production in Western Australian Farming Systems, D.V. Murphy, N. Milton, M. Osman, F.C. Hoyle, L.K Abbott, W.R. Cookson and S. Darmawanto, University of Western Australia Nutrient Management to get optimal production, Bill Bowden, Department of Agriculture OTHER CROPS Which malting barley variety and why? Blakely Paynter, Department of Agriculture KASPA AND OTHER NEW PULSE VARIETIES, 1. New Pulse varieties and where they fit in, K. Regan, P. White, Department of Agriculture & CLIMA, K. Siddique, CLIMA, K. Adhikari, Department of Agriculture & CLIMA, M. Harries, CLIMA Kaspa in the WA Grain Belt 2003-2004, Ian Pritchard, Department of Agriculture New annual pastures for Mediterranean farming systems, Angelo Loi, Phil Nichols, Clinton Revell & David Ferris, Department of Agriculture Challenging herbicide resistant ryegrass, Bill Roy, Agricultural Consulting & Research Services Pty.Ltd WEED MANAGEMENT Ingest, incinerate or invert? The pro’s and con’s of 3 weed seed removal tactics, Sally Peltzer1, Dave Minkey1 and Michael Walsh2 Department of Agriculture 1 and Western Australian Herbicide Resistance lnitiative2 A good use guide for pre-emergent herbicides, Alexandra Douglas, Department of Agriculture OTHER USEFUL INFORMATION 17.Growing season outlook, Meredith Fairbanks, Ian Foster, Geraldine Pasqual, David Stephens, Nicola Telcik, David Tennant, Department of Agriculture 18. Status Of Department Of Agriculture Western Australia Crop Varieties 19. Seed Licensee Details 20. Gene technology for growers. What is it? How does it Work? Belinda Barr, Australian Centre for Plant Functional Genomics, Dr Heather Bray, Molecular Plant Breeding Cooperative Research Centre. 21. Agronomic package for EGA Eagle Rock, Steve Penny, Department of Agriculture 22. Nutrient timing and requirements for increased crop yields in the high rainfall cropping zone, Narelle Hill, Ron McTaggart, Dr. Wal Anderson and Ray Tugwell Department of Agriculture 23. Insect contamination of cereal grain at harvest, Svetlana Micic and Phil Michael, Department of Agriculture 24. Crop leftovers: what’s in stubble for sheep? Roy Butler and Keith Croker, Department of Agriculture 25. Mandelup – Narrow-leafed lupi

Human cardiac fibroblasts adaptive responses to controlled combined mechanical strain and oxygen changes in vitro

Upon cardiac pathological conditions such as ischemia, microenvironmental changes instruct a series of cellular responses that trigger cardiac fibroblasts-mediated tissue adaptation and inflammation. A comprehensive model of how early environmental changes may induce cardiac fibroblasts (CF) pathological responses is far from being elucidated, partly due to the lack of approaches involving complex and simultaneous environmental stimulation. Here, we provide a first analysis of human primary CF behavior by means of a multi-stimulus microdevice for combined application of cyclic mechanical strain and controlled oxygen tension. Our findings elucidate differential human CFs responses to different combinations of the above stimuli. Individual stimuli cause proliferative effects (PHH3+ mitotic cells, YAP translocation, PDGF secretion) or increase collagen presence. Interestingly, only the combination of hypoxia and a simulated loss of contractility (2% strain) is able to additionally induce increased CF release of inflammatory and pro-fibrotic cytokines and matrix metalloproteinases

An evaluation of the structural validity of the Shoulder Pain and Disability Index (SPADI) using the Rasch model

Purpose: The Shoulder Pain and Disability Index (SPADI) has been extensively evaluated for its psychometric properties using classic test theory (CTT). The purpose of this study was to evaluate its structural validity using Rasch model analysis. Methods: Responses to the SPADI from 1030 patients referred for physiotherapy with shoulder pain and enrolled in a prospective cohort study were available for Rasch model analysis. Overall fit, individual person and item fit, response format, dependence, unidimensionality, targeting, reliability and differential item functioning (DIF) were examined. Results: The SPADI pain subscale initially demonstrated a misfit due to DIF by age and gender. After iterative analysis it showed good fit to the Rasch model with acceptable targeting and unidimensionality (overall fit (chi-square statistic 57.2, p=0.1); mean item fit residual 0.19 (1.5) and mean person fit residual 0.44 (1.1); person separation index (PSI) of 0.83). The disability subscale however shows significant misfit due to uniform DIF even after iterative analyses were used to explore different solutions to the sources of misfit (overall fit (chi-square statistic 57.2, p=0.1); mean item fit residual -0.54 (1.26) and mean person fit residual -0.38 (1.0); PSI 0.84). Conclusions: Rasch Model analysis of the SPADI has identified some strengths and limitations not previously observed using CTT methods. The SPADI should be treated as two separate subscales. The SPADI is a widely used outcome measure in clinical practice and research, however the scores derived from it must be interpreted with caution. The pain subscale fits the Rasch model expectations well. The disability subscale does not fit the Rasch model and its current format does not meet the criteria for true interval-level measurement required for use as a primary endpoint in clinical trials. Clinicians should therefore exercise caution when interpreting score changes on the disability subscale and attempt to compare their scores to age and sex stratified data

Diarrhoeal disease and subsequent risk of death in infants and children residing in low-income and middle-income countries: analysis of the GEMS case-control study and 12-month GEMS-1A follow-on study

Background: The Global Enteric Multicenter Study (GEMS) was a 3-year case-control study that measured the burden, aetiology, and consequences of moderate-to-severe diarrhoea (MSD) in children aged 0–59 months. GEMS-1A, a 12-month follow-on study, comprised two parallel case-control studies, one assessing MSD and the other less-severe diarrhoea (LSD). In this report, we analyse the risk of death with each diarrhoea type and the specific pathogens associated with fatal outcomes. Methods: GEMS was a prospective, age-stratified, matched case-control study done at seven sites in Africa and Asia. Children aged 0–59 months with MSD seeking care at sentinel health centres were recruited along with one to three randomly selected matched community control children without diarrhoea. In the 12-month GEMS-1A follow-on study, children with LSD and matched controls, in addition to children with MSD and matched controls, were recruited at six of the seven sites; only cases of MSD and controls were enrolled at the seventh site. We compared risk of death during the period between enrolment and one follow-up household visit done about 60 days later (range 50–90 days) in children with MSD and LSD and in their respective controls. Approximately 50 pathogens were detected using, as appropriate, classic bacteriology, immunoassays, gel-based PCR and reverse transcriptase PCR, and quantitative real-time PCR (qPCR). Specimens from a subset of GEMS cases and controls were also tested by a TaqMan Array Card that compartmentalised probe-based qPCR for 32 enteropathogens. Findings: 223 (2·0%) of 11 108 children with MSD and 43 (0·3%) of 16369 matched controls died between study enrolment and the follow-up visit at about 60 days (hazard ratio [HR] 8·16, 95% CI 5·69–11·68, p<0·0001). 12 (0·4%) of 2962 children with LSD and seven (0·2%) of 4074 matched controls died during the follow-up period (HR 2·78, 95% CI 0·95–8·11, p=0·061). Risk of death was lower in children with dysenteric MSD than in children with nondysenteric MSD (HR 0·20, 95% CI 0·05–0·87, p=0·032), and lower in children with LSD than in those with nondysenteric MSD (HR 0·29, 0·14–0·59, p=0·0006). In children younger than 24 months with MSD, infection with typical enteropathogenic Escherichia coli, enterotoxigenic E coli encoding heat-stable toxin, enteroaggregative E coli, Shigella spp (non-dysentery cases), Aeromonas spp, Cryptosporidium spp, and Entamoeba histolytica increased risk of death. Of 61 deaths in children aged 12–59 months with non-dysenteric MSD, 31 occurred among 942 children qPCRpositive for Shigella spp and 30 deaths occurred in 1384 qPCR-negative children (HR 2·2, 95% CI 1·2–3·9, p=0·0090), showing that Shigella was strongly associated with increased risk of death. Interpretation: Risk of death is increased following MSD and, to a lesser extent, LSD. Considering there are approximately three times more cases of LSD than MSD in the population, more deaths are expected among children with LSD than in those with MSD. Because the major attributable LSD-associated and MSD-associated pathogens are the same, implementing vaccines and rapid diagnosis and treatment interventions against these major pathogens are rational investments

The Burden of Cryptosporidium Diarrheal Disease among Children < 24 Months of Age in Moderate/High Mortality Regions of Sub-Saharan Africa and South Asia, Utilizing Data from the Global Enteric Multicenter Study (GEMS).

Background: The importance of Cryptosporidium as a pediatric enteropathogen in developing countries is recognized. Methods: Data from the Global Enteric Multicenter Study (GEMS), a 3-year, 7-site, case-control study of moderate-to-severe diarrhea (MSD) and GEMS-1A (1-year study of MSD and less-severe diarrhea [LSD]) were analyzed. Stools from 12,110 MSD and 3,174 LSD cases among children aged <60 months and from 21,527 randomly-selected controls matched by age, sex and community were immunoassay-tested for Cryptosporidium. Species of a subset of Cryptosporidium-positive specimens were identified by PCR; GP60 sequencing identified anthroponotic C. parvum. Combined annual Cryptosporidium-attributable diarrhea incidences among children aged <24 months for African and Asian GEMS sites were extrapolated to sub-Saharan Africa and South Asian regions to estimate region-wide MSD and LSD burdens. Attributable and excess mortality due to Cryptosporidium diarrhea were estimated. Findings: Cryptosporidium was significantly associated with MSD and LSD below age 24 months. Among Cryptosporidium-positive MSD cases, C. hominis was detected in 77.8% (95% CI, 73.0%-81.9%) and C. parvum in 9.9% (95% CI, 7.1%-13.6%); 92% of C. parvum tested were anthroponotic genotypes. Annual Cryptosporidium-attributable MSD incidence was 3.48 (95% CI, 2.27–4.67) and 3.18 (95% CI, 1.85–4.52) per 100 child-years in African and Asian infants, respectively, and 1.41 (95% CI, 0.73–2.08) and 1.36 (95% CI, 0.66–2.05) per 100 child-years in toddlers. Corresponding Cryptosporidium-attributable LSD incidences per 100 child-years were 2.52 (95% CI, 0.33–5.01) and 4.88 (95% CI, 0.82–8.92) in infants and 4.04 (95% CI, 0.56–7.51) and 4.71 (95% CI, 0.24–9.18) in toddlers. We estimate 2.9 and 4.7 million Cryptosporidium-attributable cases annually in children aged <24 months in the sub-Saharan Africa and India/Pakistan/Bangladesh/Nepal/Afghanistan regions, respectively, and ~202,000 Cryptosporidium-attributable deaths (regions combined). ~59,000 excess deaths occurred among Cryptosporidium-attributable diarrhea cases over expected if cases had been Cryptosporidium-negative. Conclusions: The enormous African/Asian Cryptosporidium disease burden warrants investments to develop vaccines, diagnostics and therapies