Gas-to-Dust mass ratios in local galaxies over a 2 dex metallicity range

This paper analyses the behaviour of the gas-to-dust mass ratio (G/D) of local Universe galaxies over a large metallicity range. We combine three samples: the Dwarf Galaxy Survey, the KINGFISH survey and a subsample from Galametz et al. (2011) totalling 126 galaxies, covering a 2 dex metallicity range, with 30% of the sample with 12+log(O/H) < 8.0. The dust masses are homogeneously determined with a semi-empirical dust model, including submm constraints. The atomic and molecular gas masses are compiled from the literature. Two XCO are used to estimate molecular gas masses: the Galactic XCO, and a XCO depending on the metallicity (as Z^{-2}). Correlations with morphological types, stellar masses, star formation rates and specific star formation rates are discussed. The trend between G/D and metallicity is empirically modelled using power-laws (slope of -1 and free) and a broken power-law. We compare the evolution of the G/D with predictions from chemical evolution models. We find that out of the five tested galactic parameters, metallicity is the galactic property driving the observed G/D. The G/D versus metallicity relation cannot be represented by a power-law with a slope of -1 over the whole metallicity range. The observed trend is steeper for metallicities lower than ~ 8.0. A large scatter is observed in the G/D for a given metallicity, with a dispersion of 0.37 dex in metallicity bins of ~0.1 dex. The broken power-law reproduces best the observed G/D and provides estimates of the G/D that are accurate to a factor of 1.6. The good agreement of the G/D and its scatter with the three tested chemical evolution models shows that the scatter is intrinsic to galactic properties, reflecting the different star formation histories, dust destruction efficiencies, dust grain size distributions and chemical compositions across the sample. (abriged)Comment: 23 pages, 12 figures, accepted in Astronomy & Astrophysic

Surgical management, staging, and outcomes of Wilms tumours with intravascular extension: Results of the IMPORT study

PURPOSE: To review surgical management, tumour stage and clinical outcomes in children with intravascular extension of Wilms tumour (WT) registered in a national clinical study (2012-19). METHODS: WTs with presence/suspicion of tumour thrombus in the renal vein (RV) or beyond on radiology, surgery or pathology case report forms were identified. Only cases where thrombus was confirmed by surgeon and/or reference pathologist were included. Surgical management, disease stage, overall (OS) and event free survival (EFS) were investigated. RESULTS: 69/583 (11.8%) patients met the inclusion criteria. Forty-six (67%) had abdominal stage III due to thrombus-related reasons: 11 had macroscopically incomplete resection, including 8 cases where cavotomy was not performed; 20 had piecemeal complete resection of thrombus; 15 had microscopically positive resection margins at the RV. 66% of tumour thrombi contained viable tumour. There were eight relapses and five deaths. EFS, but not OS, was significantly associated with completeness of surgical resection (P<0.05). OS and EFS were also significantly associated with histological risk group (P<0.05) but not with viability of tumour thrombus (P=0.19; P=0.59). CONCLUSIONS: WTs with intravascular extension have a high risk of local stage III due to thrombus-related reasons. Controlled complete removal of the thrombus should be the aim of surgery. LEVEL OF EVIDENCE: Level II

Crop Updates 2002 - Pulse Research and Industry Development in Western Australia

This session covers seventy one papers from different authors: 1. 2001 PULSE INDUSTRY HIGHLIGHTS CONTRIBUTORS BACKGROUND 2001 REGIONAL ROUNDUP 2. Northern Agricultural Region, M. Harries, Department of Agriculture 3. Central Agricultural Region, R. French and I. Pritchard, Department of Agriculture 4. Great Southern and Lakes, N. Brandon, N. Runciman and S. White, Department of Agriculture 5. Esperance Mallee, M. Seymour, Department of Agriculture PULSE PRODUCTION AGRONOMY AND GENETIC IMPROVEMENT 6. Faba bean, P. White, Department of Agriculture 7. Germplasm evaluation, P. White, M. Seymour and M. Harries, Department of Agriculture 8. Variety evaluation, P. White, M. Harries, N. Brandon and M. Seymour, Department of Agriculture 9. Sowing rate and time of sowing, P. White, N. Brandon, M. Seymour and M. Harries, Department of Agriculture 10.Use of granular inoculum in the Great Southern, N. Brandon1, J. Howieson2 and R. Yates2 1Department of Agriculture, 2Centre for Rhizobium Studies, Murdoch University 11.Tolerance to post emergent herbicides, M. Seymour and M. Harries, Department of Agriculture 12.Herbicide tolerance of new varieties, H. Dhammu and T. Piper, Department of Agriculture Desi chickpea 13. Breeding highlights, T. Khan, Department of Agriculture 14. Variety evaluation, T. Khan and K. Regan, Department of Agriculture 15. Effect of genotype and environment on seed quality, N. Suizu1 and D. Diepeveen2 1School of Public Health, Curtin University of Technology 2Department of Agriculture 16. Seed discolouration, C. Veitch and P. White, Department of Agriculture 17. Foliar application on N increases seed yield and seed protein under terminal drought, J. Palta1,2, A. Nandwal3 and N. Turner1,2 , 1CSIRO Plant Industry, 2CLIMA, the University of Western Australia, 3Department of Botany, Haryana Agric University, Hisar, India 18. Tolerance to chilling at flowering, H. Clarke, CLIMA, The University of Western Australia 19. Molecular studies of ascochyta blight disease in chickpea, G. Dwyer1, H. Loo1, T. Khan2, K. Siddique3, M. Bellgard1 and M. Jones1 ,1WA State Agricultural Biotechnology Centre and Centre for Bioinformatics and Biological Computing, Murdoch University, 2Department of Agriculture, 3CLIMA, The University of Western Australia 20. Effect of row spacing and sowing rate on seed yield, G. Riethmuller and B. MacLeod, Department of Agriculture 21. Herbicide tolerance on marginal soil types, H. Dhammu and T. Piper, Department of Agriculture 22. Kabuli chickpea, K. Regan, Department of Agriculture 23. Variety and germplasm evaluation, T. Khan and K. Regan, Department of Agriculture 24. Premium quality kabuli chickpea development in the ORIA, K. Siddique1, K. Regan2, R. Shackles2 and P. Smith2 , 1 CLIMA, The University of Western Australia, 2Department of Agriculture 25. Evaluation of ascochylta resistant germplasm from Syria and Turkey, K. Siddique1, C. Francis1 and K. Regan2, 1CLIMA, University of Western Australia 2Department of Agriculture Field pea 26. Breeding highlights, T. Khan Department of Agriculture 27. Variety evaluation, T. Khan Department of Agriculture 28. Comparing the phosphorus requirement of field pea and wheat, M. Bolland and P. White, Department of Agriculture 29. Tolerance of field pea to post emergent herbicides, M. Seymour and N. Brandon, Department of Agriculture 30. Response of new varieties to herbicides, H. Dhammu and T. Piper, Department of Agriculture 31. Lentil, K. Regan, Department of Agriculture 32. Variety evaluation, K. Regan, N. Brandon, M. Harries and M. Seymour, Department of Agriculture 33. Interstate evaluation of advanced breeding lines developed in WA, K. Regan1, K. Siddique2 and M. Materne3, 1Department of Agriculture, 2CLIMA, University of Western Australia, 3Victorian Institute for Dryland Agriculture, Agriculture Victoria 34. Evaluation of germplasm from overseas and local projects, K. Regan1, J. Clements2, K.H.M. Siddique2 and C. Francis21Department of Agriculture, 2CLIMA, University of Western Australia 35. Evaluation of breeding lines developed in WA, K. Regan1, J. Clements2, K.H.M. Siddique2 and C. Francis21Department of Agriculture, 2CLIMA, University of Western Australia 36. Productivity and yield stability in Australia and Nepal, C. Hanbury, K. Siddique and C. Francis, CLIMA, the University of Western Australia Vetch 37. Germplasm evaluation, M. Seymour1, R. Matic2 and M. Tate3, 1Department of Agriculture, 2South Australian Research and Development Institute, 3University of Adelaide, Waite Campus 38. Tolerance of common vetch to post emergent herbicides, M. Seymour and N. Brandon, Department of Agriculture Narbon bean 39. Removing narbon bean from wheat, M. Seymour, Department of Agriculture 40. Tolerance to low rates of Roundup and Sprayseed, M. Seymour, Department of Agriculture 41. Lathyrus development, C. Hanbury, CLIMA, the University of Western Australia 42. Poultry feeding trials, C. Hanbury1 and B. Hughes2 ,1CLIMA, the University of Western Australia,2Pig and Poultry Production Institute, South Australia Pulse Species 43. Species time of sowing, B. French, Department of Agriculture 44. High value pulses in the Great Southern, N. Brandon and N. Runciman, Department of Agriculture 45. Time of Harvest for improved seed yields of pulses, G. Riethmuller and B. French, Department of Agriculture 46. Phosphate acquisition efficiency of pulse crops, P. Rees, Plant Biology, Faculty of Natural and Agricultural Sciences UWA DEMONSTRATION OF PULSES IN THE FARMING SYSTEM 47. Howzat desi chickpea in the northern region, M. Harries, Department of Agriculture 48. Field pea harvest losses in the Great Southern and Esperance region, N. Brandon and M. Seymour, Department of Agriculture 49. Timing of crop topping in field pea, N. Brandon and G. Riethmuller, Department of Agriculture DISEASE AND PEST MANAGEMENT 50. Ascochyta blight of chickpea, B. MacLeod, M. Harries and N. Brandon, Department of Agriculture 51. Evaluation of Australian management packages, 52. Screening foliar fungicides 53. Row spacing and row spraying 54. Ascochyta management package for 2002, B. MacLeod, Department of Agriculture 55. Epidemiology of aschochyta and botrytis disease of pulses, J. Galloway and B. MacLeod, Department of Agriculture 56. Ascochyta blight of chickpea 57. Black spot of field pea 58. Ascochyta blight of faba bean 59. Ascochyta blight of lentil 60. Botrytis grey mould of chickpea 61. Black spot spread: Disease models are based in reality, J. Galloway, Department of Agriculture 62. Black spot spread: Scaling-up field data to simulate ‘Bakers farm’, M. Salam, J. Galloway, A. Diggle and B. MacLeod, Department of Agriculture 63. Pulse disease diagnostics, N. Burges and D. Wright, Department of Agriculture Viruses in pulses 64. Incidence of virus diseases in chickpea, J. Hawkes1, D. Thackray1 and R. Jones1,2, 1CLIMA, The University of Western Australia 2Department of Agriculture Insect pests 65. Risk assessment of aphid feeding damage on pulses, O. Edwards, J. Ridsdill-Smith, and R. Horbury, CSIRO Entomology 66. Optimum spray timing to control aphid feeding damage of faba bean, F. Berlandier, Department of Agriculture 67. Incorporation of pea weevil resistance into a field pea variety, O. Byrne1 and D. Hardie2, 1CLIMA, The University of Western Australia, 2Department of Agriculture 68. Screening wild chickpea species for resistance to Helicoverpa, T. Ridsdill-Smith1 and H. Sharma2,1CSIRO, Entomology, 2ICRISAT, Hyderabad 69. Field strategies to manage the evolution of pea weevil resistance in transgenic field pea, M. de Sousa Majer1, R. Roush2, D. Hardie3, R. Morton4 and T. Higgins4, 1Curtin University of Technology, 2Waite Campus, University of Adelaide, 3Department of Agriculture, 4CSIRO Plant Industry, Canberra 70. ACKNOWLEDGMENTS 71. Appendix 1: Summary of previous result

Near-Infrared and Optical Observations of Type Ic SN 2021krf: Luminous Late-time Emission and Dust Formation

We present near-infrared (NIR) and optical observations of the Type Ic supernova (SN Ic) SN 2021krf obtained between days 13 and 259 at several ground-based telescopes. The NIR spectrum at day 68 exhibits a rising $K$-band continuum flux density longward of $\sim$ 2.0 $\mu$m, and a late-time optical spectrum at day 259 shows strong [O I] 6300 and 6364 \r{A} emission-line asymmetry, both indicating the presence of dust, likely formed in the SN ejecta. We estimate a carbon-grain dust mass of $\sim$ 2 $\times$ 10$^{-5}$ M$_{\odot}$ and a dust temperature of $\sim$ 900 - 1200 K associated with this rising continuum and suggest the dust has formed in SN ejecta. Utilizing the one-dimensional multigroup radiation hydrodynamics code STELLA, we present two degenerate progenitor solutions for SN 2021krf, characterized by C-O star masses of 3.93 and 5.74 M$_{\odot}$, but with the same best-fit $^{56}$Ni mass of 0.11 M$_{\odot}$ for early times (0-70 days). At late times (70-300 days), optical light curves of SN 2021krf decline substantially more slowly than that expected from $^{56}$Co radioactive decay. Lack of H and He lines in the late-time SN spectrum suggests the absence of significant interaction of the ejecta with the circumstellar medium. We reproduce the entire bolometric light curve with a combination of radioactive decay and an additional powering source in the form of a central engine of a millisecond pulsar with a magnetic field smaller than that of a typical magnetar.Comment: Accepted for publication in ApJ, 27 pages, 21 figures, 6 tables. Previous arXiv submission (arXiv:2211.00205) replaced after acceptanc

Cross-tissue immune cell analysis reveals tissue-specific adaptations and clonal architecture in humans

Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. Here, we surveyed the immune compartment of 15 tissues of six deceased adult donors by single-cell RNA sequencing and paired VDJ sequencing. To systematically resolve immune cell heterogeneity across tissues, we developed CellTypist, a machine learning tool for rapid and precise cell type annotation. Using this approach, combined with detailed curation, we determined the tissue distribution of 45 finely phenotyped immune cell types and states, revealing hitherto unappreciated tissue-specific features and clonal architecture of T and B cells. In summary, our multi-tissue approach lays the foundation for identifying highly resolved immune cell types by leveraging a common reference dataset, tissue-integrated expression analysis and antigen receptor sequencing. One Sentence Summary We provide an immune cell atlas, including antigen receptor repertoire profiling, across lymphoid and non-lymphoid human tissues