81 research outputs found
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Plastic fiber design for THz generation through wavelength translation
We report on an all-fiber Terahertz (THz) radiation source by exploiting nonlinear parametric process in a theoretically designed microstructured-core double clad plastic fiber (MC-DCPF). The required phase-matching condition is satisfied through suitable tailoring of the fiber dispersion and nonlinear properties at the pump wavelength of a high power CO2 laser, with a CO laser of much lower power acting as a seed concomitantly. Our simulated results reveal that a THz radiation source at the frequency of ~ 3 THz could be realized with a 3-dB phase-matching band-width of 2.13 GHz in a 65 m long optimized MC-DCPF. Maximum power conversion efficiency >1% is realizable even after including the material loss
Phase-locking of a 2.7-THz quantum cascade laser to a mode-locked erbium-doped fibre laser
We demonstrate phase-locking of a 2.7-THz metalmetal waveguide quantum cascade laser (QCL) to an external microwave signal. The reference is the 15th harmonic, generated by a semiconductor superlattice nonlinear device, of a signal at 182 GHz, which itself is generated by a multiplier-chain (x2x3x2) from a microwave synthesizer at 15 GHz. Both laser and reference radiations are coupled into a hot electron bolometer mixer, resulting in a beat signal, which is fed into a phase-lock loop. Spectral analysis of the beat signal (see fig. 1) confirms that the QCL is phase locked. This result opens the possibility to extend heterodyne interferometers into the far-infrared range
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 βBakers farmβ, 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
Coexpression Network Analysis in Abdominal and Gluteal Adipose Tissue Reveals Regulatory Genetic Loci for Metabolic Syndrome and Related Phenotypes
Metabolic Syndrome (MetS) is highly prevalent and has considerable public health impact, but its underlying genetic factors remain elusive. To identify gene networks involved in MetS, we conducted whole-genome expression and genotype profiling on abdominal (ABD) and gluteal (GLU) adipose tissue, and whole blood (WB), from 29 MetS cases and 44 controls. Co-expression network analysis for each tissue independently identified nine, six, and zero MetSβassociated modules of coexpressed genes in ABD, GLU, and WB, respectively. Of 8,992 probesets expressed in ABD or GLU, 685 (7.6%) were expressed in ABD and 51 (0.6%) in GLU only. Differential eigengene network analysis of 8,256 shared probesets detected 22 shared modules with high preservation across adipose depots (DABD-GLUβ=β0.89), seven of which were associated with MetS (FDR P<0.01). The strongest associated module, significantly enriched for immune responseβrelated processes, contained 94/620 (15%) genes with inter-depot differences. In an independent cohort of 145/141 twins with ABD and WB longitudinal expression data, median variability in ABD due to familiality was greater for MetSβassociated versus un-associated modules (ABD: 0.48 versus 0.18, Pβ=β0.08; GLU: 0.54 versus 0.20, Pβ=β7.8Γ10β4). Cis-eQTL analysis of probesets associated with MetS (FDR P<0.01) and/or inter-depot differences (FDR P<0.01) provided evidence for 32 eQTLs. Corresponding eSNPs were tested for association with MetSβrelated phenotypes in two GWAS of >100,000 individuals; rs10282458, affecting expression of RARRES2 (encoding chemerin), was associated with body mass index (BMI) (Pβ=β6.0Γ10β4); and rs2395185, affecting inter-depot differences of HLA-DRB1 expression, was associated with high-density lipoprotein (Pβ=β8.7Γ10β4) and BMIβadjusted waist-to-hip ratio (Pβ=β2.4Γ10β4). Since many genes and their interactions influence complex traits such as MetS, integrated analysis of genotypes and coexpression networks across multiple tissues relevant to clinical traits is an efficient strategy to identify novel associations
Extensive Crosstalk between O-GlcNAcylation and Phosphorylation Regulates Akt Signaling
O-linked N-acetylglucosamine glycosylations (O-GlcNAc) and O-linked phosphorylations (O-phosphate), as two important types of post-translational modifications, often occur on the same protein and bear a reciprocal relationship. In addition to the well documented phosphorylations that control Akt activity, Akt also undergoes O-GlcNAcylation, but the interplay between these two modifications and the biological significance remain unclear, largely due to the technique challenges. Here, we applied a two-step analytic approach composed of the O-GlcNAc immunoenrichment and subsequent O-phosphate immunodetection. Such an easy method enabled us to visualize endogenous glycosylated and phosphorylated Akt subpopulations in parallel and observed the inhibitory effect of Akt O-GlcNAcylations on its phosphorylation. Further studies utilizing mass spectrometry and mutagenesis approaches showed that O-GlcNAcylations at Thr 305 and Thr 312 inhibited Akt phosphorylation at Thr 308 via disrupting the interaction between Akt and PDK1. The impaired Akt activation in turn resulted in the compromised biological functions of Akt, as evidenced by suppressed cell proliferation and migration capabilities. Together, this study revealed an extensive crosstalk between O-GlcNAcylations and phosphorylations of Akt and demonstrated O-GlcNAcylation as a new regulatory modification for Akt signaling
Active Pin1 is a key target of all-trans retinoic acid in acute promyelocytic leukemia and breast cancer
A common key regulator of oncogenic signaling pathways in multiple tumor types is the unique isomerase Pin1. However, available Pin1 inhibitors lack the required specificity and potency. Using mechanism-based screening, here we find that all-trans retinoic acid (ATRA)--a therapy for acute promyelocytic leukemia (APL) that is considered the first example of targeted therapy in cancer, but its drug target remains elusive--inhibits and degrades active Pin1 selectively in cancer cells by directly binding to the substrate phosphate- and proline-binding pockets in the Pin1 active site. ATRA-induced Pin1 ablation degrades the fusion oncogene PML-RARΞ± and treats APL in cell and animal models and human patients. ATRA-induced Pin1 ablation also inhibits triple negative breast cancer cell growth in human cells and in animal models by acting on many Pin1 substrate oncogenes and tumor suppressors. Thus, ATRA simultaneously blocks multiple Pin1-regulated cancer-driving pathways, an attractive property for treating aggressive and drug-resistant tumors
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