E-cigarette use among women of reproductive age: Impulsivity, cigarette smoking status, and other risk factors.

INTRODUCTION: The study aim was to examine impulsivity and other risk factors for e-cigarette use among women of reproductive age comparing current daily cigarette smokers to never cigarette smokers. Women of reproductive age are of special interest because of the additional risk that tobacco and nicotine use represents should they become pregnant. METHOD: Survey data were collected anonymously online using Amazon Mechanical Turk in 2014. Participants were 800 women ages 24-44years from the US. Half (n=400) reported current, daily smoking and half (n=400) reported smokingsociodemographics, tobacco/nicotine use, and impulsivity (i.e., delay discounting & Barratt Impulsiveness Scale). Predictors of smoking and e-cigarette use were examined using logistic regression. RESULTS: Daily cigarette smoking was associated with greater impulsivity, lower education, past illegal drug use, and White race/ethnicity. E-cigarette use in the overall sample was associated with being a cigarette smoker and greater education. E-cigarette use among current smokers was associated with increased nicotine dependence and quitting smoking; among never smokers it was associated with greater impulsivity and illegal drug use. E-cigarette use was associated with hookah use, and for never smokers only with use of cigars and other nicotine products. CONCLUSIONS: E-cigarette use among women of reproductive age varies by smoking status, with use among current smokers reflecting attempts to quit smoking whereas among non-smokers use may be a marker of a more impulsive repertoire that includes greater use of alternative tobacco products and illegal drugs

Feasibility of using citations as document summaries

The purpose of this research is to establish whether it is feasible to use citations as document summaries. People are good at creating and selecting summaries and are generally the standard for evaluating computer generated summaries. Citations can be characterized as concept symbols or short summaries of the document they are citing. Similarity metrics have been used in retrieval and text summarization to determine how alike two documents are. Similarity metrics have never been compared to what human subjects think are similar between two documents. If similarity metrics reflect human judgment, then we can mechanize the selection of citations that act as short summaries of the document they are citing. The research approach was to gather rater data comparing document abstracts to citations about the same document and then to statistically compare those results to several document metrics; frequency count, similarity metric, citation location and type of citation. There were two groups of raters, subject experts and non-experts. Both groups of raters were asked to evaluate seven parameters between abstract and citations: purpose, subject matter, methods, conclusions, findings, implications, readability, andunderstandability. The rater was to identify how strongly the citation represented the content of the abstract, on a five point likert scale. Document metrics were collected for frequency count, cosine, and similarity metric between abstracts and associated citations. In addition, data was collected on the location of the citations and the type of citation. Location was identified and dummy coded for introduction, method, discussion, review of the literature and conclusion. Citations were categorized and dummy coded for whether they refuted, noted, supported, reviewed, or applied information about the cited document. The results show there is a relationship between some similarity metrics and human judgment of similarity.Ph.D., Information Studies -- Drexel University, 200

Heating of hip joint implants in MRI: The combined effect of RF and switched‐gradient fields

Purpose: To investigate how the simultaneous exposure to gradient and RF fields affects the temperature rise in patients with a metallic hip prosthesis during an MRI session. Methods: In silico analysis was performed with an anatomically realistic human model with CoCrMo hip implant in 12 imaging positions. The analysis was performed at 1.5 T and 3 T, considering four clinical sequences: turbo spin-echo, EPI, gradient-echo, and true fast imaging sequence with steady precession. The exposure to gradient and RF fields was evaluated separately and superposed, by adopting an ad hoc computational algorithm. Temperature increase within the body, rather than specific absorption rate, was used as a safety metric. Results: With the exception of gradient-echo, all investigated sequences produced temperature increases higher than 1 K after 360 seconds, at least for one body position. In general, RF-induced heating dominates the turbo spin-echo sequence, whereas gradient-induced heating prevails with EPI; the situation with fast imaging sequence with steady precession is more diversified. The RF effects are enhanced when the implant is within the RF coil, whereas the effects of gradient fields are maximized if the prosthesis is outside the imaging region. Cases for which temperatureincrease thresholds were exceeded were identified, together with the corresponding amount of tissue mass involved and the exposure time needed to reach these limits. Conclusion: The analysis confirms that risky situations may occur when a patient carrying a hip implant undergoes an MRI exam and that, in some cases, the gradient field heating may be significant. In general, exclusion criteria only based on wholebody specific absorption rate may not be sufficient to ensure patients’ safety

A monolithic (Si) massively broadband non-reverberant monopole

Accepted versio

Board # 139 : Rethinking Engineering Diversity, Transforming Engineering Diversity (REDTED)

The research project described in this paper is titled “Rethinking Engineering Diversity, Transforming Engineering Diversity (REDTED),” which is part of the National Science Foundation, Revolutionizing Engineering Department (RED) grants. The project is in its first year and therefore what is described in this paper will be a brief overview of the project and some of the work done during the first year. The proposed research is to explore how the representation of women and Underrepresented Minority (URM) students and historically underserved groups will be increased in an engineering department by deploying a multi-pronged approach. The approach includes curricular and extra-curricular reform, which is targeted at the Civil and Environmental Engineering (CEE) Department at Rowan University and includes: a) Radically changing admission standards to promote excellence; b) Enhancing the perception and understanding of diversity and equality among students, faculty and administrators to create a more inclusive environment; c) Developing Advocate and Allies Mentoring Program for first year, and transfer students; d) Transforming existing engineering curriculum of second and third year from a narrow sub-discipline based approach to a more inclusive, system-based approach; e) Enriching students’ aspirations by providing successful and diverse role models from industry and academia; and f) Developing a model for inclusion of diverse students. The study is unique in that the definition of diversity is expanded to include both visible and invisible aspects. It also takes a comprehensive approach in making engineering more appealing to a more diverse population while also making sure that the diverse students who do choose to pursue engineering find an inclusive and welcoming climate. The first year of the study has been devoted to building partnerships and developing a consistent message. In addition, surveys of students and faculty to get baseline data on the attitudes to inclusivity have also been conducted to inform the strategies to be employed. In addition, faculty workshops to begin the process of modifying the curriculum is also being conducted. In addition, the student peer mentoring program and its structure is also being developed and student workshops are being conducted to develop peer mentoring skills

The Atacama Cosmology Telescope: Detection or Sunyaev-Zel'Dovich Decrement in Groups and Clusters Associated with Luminous Red Galaxies

We present a detection of the Sunyaev-Zel'dovich (SZ) decrement associated with the Luminous Red Galaxy (LRG) sample of the Sloan Digital Sky Survey. The SZ data come from 148 GHz maps of the equatorial region made by the Atacama Cosmology Telescope (ACT). The LRG sample is divided by luminosity into four bins, and estimates for the central Sunyaev-Zel'dovich temperature decrement are calculated through a stacking process. We detect and account for a bias of the SZ signal due to weak radio sources. We use numerical simulations to relate the observed decrement to Y(sub 200) and clustering properties to relate the galaxy luminosity bins to mass. We also use a relation between BCG luminosity and cluster mass based on stacked gravitational lensing measurements to estimate the characteristic halo masses. The masses are found to be in the range approx.10(exp 13) - 10(exp 14)/h Stellar Mass, a lower range than has been previously probed

The Atacama Cosmology Telescope: Detection of Sunyaev-Zel'dovich Decrement in Groups and Clusters Associated with Luminous Red Galaxies

We present a detection of the Sunyaev-Zel'dovich (SZ) decrement associated with the Luminous Red Galaxy (LRG) sample of the Sloan Digital Sky Survey. The SZ data come from 148 GHz maps of the equatorial region made by the Atacama Cosmology Telescope (ACT). The LRG sample is divided by luminosity into four bins, and estimates for the central Sunyaev-Zel'dovich temperature decrement are calculated through a stacking process. We detect and account for a bias of the SZ signal due to weak radio sources. We use numerical simulations to relate the observed decrement to Y200 and clustering properties to relate the galaxy luminosity bins to mass. We also use a relation between brightest cluster galaxy luminosity and cluster mass based on stacked gravitational lensing measurements to estimate the characteristic halo masses. The masses are found to be around 1e14 M_sun.Comment: Accepted in ApJ. 14 pages, 6 figure

Crop Updates 2005 - Lupins and Pulses

This session covers sixty five papers from different authors: 1. 2004 LUPIN AND PULSE INDUSTRY HIGHLIGHTS, Peter White Department of Agriculture 2. BACKGROUND, Peter White Department of Agriculture 2004 REGIONAL ROUNDUP 3. Northern Agricultural Region, Martin Harries, Department of Agriculture 4. Central Agricultural Region, Ian Pritchard, Department of Agriculture 5. Great Southern and Lakes, Rodger Beermier, Department of Agriculture 6. Esperance Port Zone, Mark Seymour, Department of Agriculture, and David Syme, The Grain Pool of WA LUPIN AND PULSE PRODUCTION AGRONOMY AND GENETIC IMPROVEMENT 7. Lupin, Martin Harries, Department of Agriculture 8. Narrow-leafed lupin breeding, Bevan Buirchell, Department of Agriculture 9. Yellow lupin breeding in Western Australia, Kedar Adhikari, Mark Sweetingham and Bevan Buirchell, Department of Agriculture 10. WALAB2000 - First Anthracnose resistant albus lupins, Kedar Adhikari, Bevan Buirchell, MarkSweetingham and Geoff Thomas, Department of Agriculture 11. Improving lupin grain quality and yield through genetic manipulation of key physiological traits, Jon Clements1 and Bevan Buirchell2,1CLIMA, The University of Western Australia 2Department of Agriculture 12. Lupin alkaloids in four Australian species, Shao Fang Wang, Chemistry Centre (WA), CLIMA, The University of Western Australia 13. Improving lupin tolerance to herbicides of metribuzin, isoxaflutole and carfentrazone-ethyl, Ping Si1, Mark Sweetingham12, Bevan Buirchell12, David Bowran2 and Huaan Yang12 , 1CLIMA, The University of Western Australia, 2Department of Agriculture 14. Combined cultural and shielded sprayer herbicide application for weed management, Martin Harries and Mike Baker Department of Agriculture 15. Field testing of lupin seed of various sources with and without post maturity, pre harvest rain for field establishment, Martin Harries, Wayne Parker, Mike Baker, Department of Agriculture 16. Lupin seed rate by wide row spacing, Martin Harries, Bob French, Damien Owen D’arcy, Department of Agriculture 17. How environment influences row spacing response in lupins, Bob French, Department of Agriculture 18. The effect of wider row spacing on lupin architecture, growth and nutrient uptake dynamics, Bill Bowden and Craig Scanlan, Department of Agriculture 19. Fertiliser placement and application rate in wide rows, Martin Harries, Damien Owen D’arcy, Department of Agriculture 20. The pros and cons of cowing lupins in ‘wide’ rows, Wayne Parker, Bob French and Martin Harries, Department of Agriculture 21. Investigation into the influence of row orientation in lupin crops, Jeff Russell1 and Angie Roe2, 1Department of Agriculture, 2Farm Focus Consultants 22. Making the most of Mandelup, Greg Shea and Chris Matthews, Department of Agriculture 23. The effect of wild radish density and lupin cultivars on their competition at Merredin, Shahab Pathan, Abul Hashem and Bob French, Department of Agriculture 24. The potential of pearl lupin (Lupinus mutabilis) for southern Australia, Jon Clements1, Mark Sweetingham2, Bevan Buirchell2, Sofia Sipsas2, Geoff Thomas2, John Quealy1, Roger Jones2, Clive Francis1, Colin Smith2 and Gordon Francis1, 1CLIMA, University of Western Australia 2Department of Agriculture 25. Field pea, Mark Seymour, Department of Agriculture 26. Breeding highlights, Tanveer. Khan and Bob French, Department of Agriculture 27. Variety evaluation, Tanveer Khan, Kerry Regan, Jenny Garlinge and Rod Hunter, Department of Agriculture 28. Large scale field pea variety trials, Martin Harries, Department of Agriculture 29. Kaspa demonstrations, Rodger Beermier, Mark Seymour, Ian Pritchard, Graham Mussell, Department of Agriculture 30. Field pea harvesting demonstration at Merredin, Glen Riethmuller, Greg Shea and Bob French, Department of Agriculture 31. Does Kaspa respond differently to disease, fungicides, time of sowing or seed rate, Mark Seymour, Department of Agriculture 32. Field pea response to foliar Manganese in mallee district, Mark Seymour, Department of Agriculture 33. Kaspa harvesting observations 2004, Mark Seymour, Ian Pritchard, Glen Riethmuller, Department of Agriculture 34. ‘Blackspot Manager’ for understanding blackspot of peas and ascochyta blight management, Moin Salam and Jean Galloway, Department of Agriculture 35. 250,000 ha of field pea in WA – Is it sustainable? Larn McMurray1 and Mark Seymour2, 1South Australian Research and Development Institute, 2Department of Agriculture 36. Desi chickpea, Wayne Parker, Department of Agriculture 37. Breeding highlights, Tanveer Khan1,2 and Kadambot Siddique2,1Department of Agriculture, 2CLIMA, The University of Western Australia 38. Variety evaluation, Tanveer Khan, Kerry Regan, Jenny Garlinge and Rod Hunter, Department of Agriculture 39. Large scale variety testing of desi chickpeas, Martin Harries, Greg Shea, Mike Baker, Dirranie Kirby, Department of Agriculture 40. Desi variety chickpea trial, Martin Harries and Murray Blyth, Department of Agriculture 41. Seeding rates and row spacing of chickpea desi, Martin Harries, MurrayBlyth, Damien Owen D’arcy, Department of Agriculture 42. Molecular characterisation of chickpea wild relatives, Fucheng Shan, Heather Clarke and Kadambot Siddique, CLIMA, The University of Western Australia 43. Plant phosphorus status has a limited influence on the concentration of phosphorus-mobilising carboxylates in the rhizosphere of chickpea, Madeleine Wouterlood, Hans Lambers and Erik Veneklaas, The University of Western Australia 44. Kabuli chickpea, Kerry Regan, Department of Agriculture, and CLIMA, The University of Western Australia 45. ‘Kimberly Large’ A high quality and high yielding new variety for the Ord River Irrigation Area, Kerry Regan1,2, Kadambot Siddique2, Peter White1,2, Peter Smith1 and Gae Plunkett1,1Department of Agriculture, 2CLIMA, University of Western Australia 46. Development of ascochyta resistant and high quality varieties for Australia, Kadambot Siddique1, Kerry Regan1,2, Tim Pope1 and Mike Baker2, 1CLIMA, The University of Western Australia 2Department of Agriculture 47. Towards double haploids in chickpeas and field pea, Janine Croser, Julia Wilson and Kadambot Siddique, CLIMA, The University of Western Australia 48. Crossing chickpea with wild Cicer relatives to introduce resistance to disease and tolerance to environmental stress, Heather Clarke and Kadambot Siddique, CLIMA, The University of Western Australia 49. Faba bean, Peter White, Department of Agriculture 50. Germplasm evaluation, Peter White1,2, Kerry Regan1,2, Tim Pope2, Martin Harries1, Mark Seymour1, Rodger Beermier1 and Leanne Young1, 1Department of Agriculture, 2CLIMA, The University of Western Australia 51. Lentil, Kerry Regan, Department of Agriculture, and CLIMA, The University of Western Australia 52. Variety and germplasm evaluation, Kerry Regan1,2, Tim Pope2, Leanne Young1, Martin Harries1, Murray Blyth1 and Michael Materne3, 1Department of Agriculture, 2CLIMA, University of Western Australia, 3Department of Primary Industries, Victoria 53. Lathyrus species, Kadambot Siddique1, Kerry Regan2, and Colin Hanbury2, 1CLIMA, the University of Western Australia, 2Department of Agricultur

A GPU Computational Code for Eddy-Current Problems in Voxel-Based Anatomy

A hybrid finite element–boundary element method, developed to solve eddy-current problems in the frequency domain, is applied to the electromagnetic analysis of voxel-based human models. A specific procedure employs a massively parallelized algorithm implemented on a multiple Graphic Processing Units (GPU) code to speed up the solution of large systems whose matrix exceeds the RAM capability. The database structure used for the electromagnetic problem is also suitable for a successive thermal analysis to evaluate the distribution of the temperature elevation due to the energy deposited by the waves in the tissues. Finally, some examples of application are presented.A hybrid finite element-boundary element method, developed to solve eddy-current problems in the frequency domain, is applied to the electromagnetic analysis of voxel-based human models. A specific procedure employs a massively parallelized algorithm implemented on a multiple Graphic Processing Units (GPU) code to speed up the solution of large systems whose matrix exceeds the RAM capability. The database structure used for the electromagnetic problem is also suitable for a successive thermal analysis to evaluate the distribution of the temperature elevation due to the energy deposited by the waves in the tissues. Finally, some examples of application are presented