Mitigating Risks and Building Resilience to HIV/AIDS: Perspectives of HIV-Negative, Middle-Aged and Older Men Who Have Sex with Men

Purpose: Although ample research has been conducted on resilience to HIV/AIDS, most studies have utilized quantitative methods and focused almost exclusively on people living with HIV/AIDS. A relatively untapped source of knowledge is the perspectives of HIV-negative, middle-aged and older men who have sex with men (MSM) who have been navigating risks and building resilience to HIV/AIDS since the 1980s. Our qualitative, community-based participatory research study examined the perspectives of HIV-negative, middle-aged and older MSM on factors that helped mitigate the risks of and build resilience to HIV/AIDS. Methods: In collaboration with community-based organizations, fourteen participants were recruited for in-depth interviews. Participants were aged 40 or older, identified as HIV-negative MSM, and resided in Ontario, Canada. Thematic analysis of interviews revealed salient themes. Results: Three themes were identified: (1) individual attributes (e.g., self-awareness/control), (2) protective relational factors (e.g., meaningful sexual relationships), and (3) community-based resources (e.g., competent healthcare/service providers). Conclusion: HIV-negative, middle-aged and older MSM recognized factors that helped mitigate risks of contracting and build resilience to HIV/AIDS based on their own lived experiences. Some of these factors have not been explicitly identified or extensively discussed in extant academic literature, and are worth considering in the development of community-based HIV/AIDS prevention and intervention programs

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

Commentaries on viewpoint : physiology and fast marathons

Q2Q1N/

Measurement of associated Z plus charm production in proton-proton collisions at root s=8TeV

A study of the associated production of a Z boson and a charm quark jet (Z + c), and a comparison to production with a b quark jet (Z + b), in pp collisions at a centre-of-mass energy of 8 TeV are presented. The analysis uses a data sample corresponding to an integrated luminosity of 19.7 fb(-1), collected with the CMS detector at the CERN LHC. The Z boson candidates are identified through their decays into pairs of electrons or muons. Jets originating from heavy flavour quarks are identified using semileptonic decays of c or b flavoured hadrons and hadronic decays of charm hadrons. The measurements are performed in the kinematic region with two leptons with pT(l) > 20 GeV, vertical bar eta(l)vertical bar 25 GeV and vertical bar eta(jet)vertical bar Z + c + X) B(Z -> l(+)l(-)) = 8.8 +/- 0.5 (stat)+/- 0.6 (syst) pb. The ratio of the Z+c and Z+b production cross sections is measured to be sigma(pp -> Z+c+X)/sigma (pp -> Z+b+X) = 2.0 +/- 0.2 (stat)+/- 0.2 (syst). The Z+c production cross section and the cross section ratio are also measured as a function of the transverse momentum of theZ boson and of the heavy flavour jet. The measurements are compared with theoretical predictions.Peer reviewe

Search for a singly produced third-generation scalar leptoquark decaying to a tau lepton and a bottom quark in proton-proton collisions at root s=13 TeV

A search is presented for a singly produced third-generation scalar leptoquark decaying to a tau lepton and a bottom quark. Associated production of a leptoquark and a tau lepton is considered, leading to a final state with a bottom quark and two tau leptons. The search uses proton-proton collision data at a center-of-mass energy of 13 TeV recorded with the CMS detector, corresponding to an integrated luminosity of 35.9 fb(-1). Upper limits are set at 95% confidence level on the production cross section of the third-generation scalar leptoquarks as a function of their mass. From a comparison of the results with the theoretical predictions, a third-generation scalar leptoquark decaying to a tau lepton and a bottom quark, assuming unit Yukawa coupling (lambda), is excluded for masses below 740 GeV. Limits are also set on lambda of the hypothesized leptoquark as a function of its mass. Above lambda = 1.4, this result provides the best upper limit on the mass of a third-generation scalar leptoquark decaying to a tau lepton and a bottom quark.Peer reviewe

Measurement of the underlying event activity in inclusive Z boson production in proton-proton collisions at root s=13 TeV

This paper presents a measurement of the underlying event activity in proton-proton collisions at a center-of-mass energy of 13TeV, performed using inclusive Z boson production events collected with the CMS experiment at the LHC. The analyzed data correspond to an integrated luminosity of 2.1 fb(-1). The underlying event activity is quantified in terms of the charged particle multiplicity, as well as of the scalar sum of the charged particles' transverse momenta in different topological regions defined with respect to the Z boson direction. The distributions are unfolded to the stable particle level and compared with predictions from various Monte Carlo event generators, as well as with similar CDF and CMS measurements at center-of-mass energies of 1.96 and 7TeV respectively.Peer reviewe

Measurement of differential cross sections in the kinematic angular variable phi* for inclusive Z boson production in pp collisions at root s=8 TeV

Measurements of differential cross sections d sigma/d phi* and double-differential cross sections d(2)sigma/ld phi*d/y/ for inclusive Z boson production are presented using the dielectron and dimuon final states. The kinematic observable phi* correlates with the dilepton transverse momentum but has better resolution, and y is the dilepton rapidity. The analysis is based on data collected with the CMS experiment at a centre-of-mass energy of 8 TeV corresponding to an integrated luminosity of 19.7 fb(-1). The normalised cross section (1/sigma) d sigma/d phi*, within the fiducial kinematic region, is measured with a precision of better than 0.5% for phi* <1. The measurements are compared to theoretical predictions and they agree, typically, within few percent.Peer reviewe

Constraints on models of scalar and vector leptoquarks decaying to a quark and a neutrino at root s=13 TeV

The results of a previous search by the CMS Collaboration for squarks and gluinos are reinterpreted to constrain models of leptoquark (LQ) production. The search considers jets in association with a transverse momentum imbalance, using the M-T2 variable. The analysis uses proton-proton collision data at root s = 13 TeV, recorded with the CMS detector at the LHC in 2016 and corresponding to an integrated luminosity of 35.9 fb(-1). Leptoquark pair production is considered with LQ decays to a neutrino and a top, bottom, or light quark. This reinterpretation considers higher mass values than the original CMS search to constrain both scalar and vector LQs. Limits on the cross section for LQ pair production are derived at the 95% confidence level depending on the LQ decay mode. A vector LQ decaying with a 50% branching fraction to t nu, and 50% to b tau, has been proposed as part of an explanation of anomalous flavor physics results. In such a model, using only the decays to t nu, LQ masses below 1530 GeV are excluded assuming the Yang-Mills case with coupling kappa = 1, or 1115 GeV in the minimal coupling case kappa = 0, placing the most stringent constraint to date from pair production of vector LQs.Peer reviewe

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Development and validation of HERWIG 7 tunes from CMS underlying-event measurements

This paper presents new sets of parameters (“tunes”) for the underlying-event model of the HERWIG7 event generator. These parameters control the description of multiple-parton interactions (MPI) and colour reconnection in HERWIG7, and are obtained from a fit to minimum-bias data collected by the CMS experiment at s=0.9, 7, and 13Te. The tunes are based on the NNPDF 3.1 next-to-next-to-leading-order parton distribution function (PDF) set for the parton shower, and either a leading-order or next-to-next-to-leading-order PDF set for the simulation of MPI and the beam remnants. Predictions utilizing the tunes are produced for event shape observables in electron-positron collisions, and for minimum-bias, inclusive jet, top quark pair, and Z and W boson events in proton-proton collisions, and are compared with data. Each of the new tunes describes the data at a reasonable level, and the tunes using a leading-order PDF for the simulation of MPI provide the best description of the dat