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53. Multimodal (inter)action analysis

Author

Geenen, J.G., Pirini, J., McKinley, J., Rose, H., McKinley, J., and Rose, H.

Subjects
Languages in Transition Stages, Language & Communication
Abstract

Item does not contain fulltext

Published
2019

54. Weathering

Author

Warke, P.A., primary, McKinley, J., additional, and Smith, B.J., additional

Published
2006
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55. Biplots for Compositional Data Derived from Generalised Joint Diagonalization Methods

Author

Mueller, U., Tolosana Delgado, R., Grunsky, E. C., and McKinley, J. M.

Subjects
Spatial decorrelation, Structural analysis, Geochemical data, Semivariogram matrices
Abstract

Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors. However, because no spatial structures are accounted for in the transformation the application of PCA is limited. In geostatistics and blind source separation a variety of different matrix diagonalization methods have been developed with the aim to provide spatially or temporally decorrelated factors. Just as PCA, many of these transformations are linear and so lend themselves to the construction of biplots. In this contribution we consider such biplots for a number of methods (MAF, UWEDGE and RJD transformations) and discuss how and if they can contribute to our understanding of relationships between the components of regionalized compositions. A comparison of the biplots with the PCA biplot commonly used in compositional data analysis for the case of data from the Northern Irish geochemical survey shows that the biplots from MAF and UWEDGE are comparable as are those from PCA and RJD. The biplots emphasize different aspects of the regionalized composition: for MAF and UWEDGE the focus is the spatial continuity, while for PCA and RJD it is variance explained. The results indicate that PCA and MAF combined provide adequate and complementary means for exploratory statistical analysis.

Published
2020

56. Porosimetric studies in rocks

Author

Calcagno, C, primary, Curran, J, additional, Smith, B, additional, Stelfox, D, additional, Savage, J, additional, Dragovich, D, additional, Edwards, G, additional, Ehling, A, additional, Stein, J, additional, Gregerová, M, additional, Pospísil, P, additional, Guse, S, additional, Gervais, A, additional, Scheffler, M, additional, Normandin, K, additional, Siegesmund, S, additional, Ruedrich, J, additional, Weiss, T, additional, Sobott, R, additional, Twilley, J, additional, Warke, P, additional, McKinley, J, additional, Weishauptová, Z, additional, and Prikryl, R, additional

Published
2004
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60. Biplots for compositional data derived from generalized joint diagonalization methods

Author

Mueller, Ute, Tolosana Delgado, R., Grunsky, E. C., McKinley, J. M., Mueller, Ute, Tolosana Delgado, R., Grunsky, E. C., and McKinley, J. M.

Abstract

Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors. However, because no spatial structures are accounted for in the transformation the application of PCA is limited. In geostatistics and blind source separation a variety of different matrix diagonalization methods have been developed with the aim to provide spatially or temporally decorrelated factors. Just as PCA, many of these transformations are linear and so lend themselves to the construction of biplots. In this contribution we consider such biplots for a number of methods (MAF, UWEDGE and RJD transformations) and discuss how and if they can contribute to our understanding of relationships between the components of regionalized compositions. A comparison of the biplots with the PCA biplot commonly used in compositional data analysis for the case of data from the Northern Irish geochemical survey shows that the biplots from MAF and UWEDGE are comparable as are those from PCA and RJD. The biplots emphasize different aspects of the regionalized composition: for MAF and UWEDGE the focus is the spatial continuity, while for PCA and RJD it is variance explained. The results indicate that PCA and MAF combined provide adequate and complementary means for exploratory statistical analysis.

Published
2020

61. Biplots for Compositional Data Derived from Generalised Joint Diagonalization Methods

Author

(0000-0002-8670-2120) Mueller, U., (0000-0001-9847-0462) Tolosana Delgado, R., (0000-0003-4521-163X) Grunsky, E. C., (0000-0003-2327-5560) McKinley, J. M., (0000-0002-8670-2120) Mueller, U., (0000-0001-9847-0462) Tolosana Delgado, R., (0000-0003-4521-163X) Grunsky, E. C., and (0000-0003-2327-5560) McKinley, J. M.

Abstract

Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors. However, because no spatial structures are accounted for in the transformation the application of PCA is limited. In geostatistics and blind source separation a variety of different matrix diagonalization methods have been developed with the aim to provide spatially or temporally decorrelated factors. Just as PCA, many of these transformations are linear and so lend themselves to the construction of biplots. In this contribution we consider such biplots for a number of methods (MAF, UWEDGE and RJD transformations) and discuss how and if they can contribute to our understanding of relationships between the components of regionalized compositions. A comparison of the biplots with the PCA biplot commonly used in compositional data analysis for the case of data from the Northern Irish geochemical survey shows that the biplots from MAF and UWEDGE are comparable as are those from PCA and RJD. The biplots emphasize different aspects of the regionalized composition: for MAF and UWEDGE the focus is the spatial continuity, while for PCA and RJD it is variance explained. The results indicate that PCA and MAF combined provide adequate and complementary means for exploratory statistical analysis.

Published
2020

64. Hambledon Hill, Dorset, England, Volumes 1 and 2 : Excavation and survey of a Neolithic Monument Complex and its Surrounding Landscape

Author

Mercer, Roger, Healy, Frances, Allen, Michael J, Austin, Phil, Barclay, Alistair, Bayliss, Alex, Bell, Martin, Berstan, Robert, Brown, Lisa, Chisham, Catherine, Cook, Alison, Copley, Mark, Cowell, Michael, Darvill, Timothy, Evershed, Richard, Hather, Jonathon, Howard, Hillary, Johnson, Su, Jones, Glynis, Kenward, Robin, Laidlaw, Moira, Legge, A J, McCormac, F G, McKinley, J I, Needham, Stuart, Oswald, Alastair, Palmer, Rog, Ramsey, C Bronk, Richards, Michael, Roe, Fiona, Saville, Alan, Smith, Isobel, Smith, Rachael Seager, Smith, Bob, Somerville, Elizabeth, Stott, Andrew, Wells, Nick, Stevenson, Silvia, Borland, John, Dixon, Sharon, Green, Jane, Griffiths, Nick, James, Liz, Richards, Joanna, Sinton, Philip, Thomas, Gordon, Wicks, Karen, Mercer, Roger, Healy, Frances, Allen, Michael J, Austin, Phil, Barclay, Alistair, Bayliss, Alex, Bell, Martin, Berstan, Robert, Brown, Lisa, Chisham, Catherine, Cook, Alison, Copley, Mark, Cowell, Michael, Darvill, Timothy, Evershed, Richard, Hather, Jonathon, Howard, Hillary, Johnson, Su, Jones, Glynis, Kenward, Robin, Laidlaw, Moira, Legge, A J, McCormac, F G, McKinley, J I, Needham, Stuart, Oswald, Alastair, Palmer, Rog, Ramsey, C Bronk, Richards, Michael, Roe, Fiona, Saville, Alan, Smith, Isobel, Smith, Rachael Seager, Smith, Bob, Somerville, Elizabeth, Stott, Andrew, Wells, Nick, Stevenson, Silvia, Borland, John, Dixon, Sharon, Green, Jane, Griffiths, Nick, James, Liz, Richards, Joanna, Sinton, Philip, Thomas, Gordon, and Wicks, Karen

Published
2014
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69. Surficial and deep earth material prediction from geochemical compositions - a spatial predictive model

Author

Talebi, H., Mueller, U., Tolosana-Delgado, R., Grunsky, E. C., Mckinley, J. M., and Caritat, P.

Subjects
machine learning, geostatistical simulation, Compositional data, Log-ratio, flow anamorphosis
Abstract

Prediction of true classes of surficial and deep earth materials using multivariate geospatial data is a common challenge for geoscience modellers. Most geological processes leave a footprint that can be explored by geochemical data analysis. These footprints are normally complex statistical and spatial patterns buried deep in the high-dimensional compositional space. This paper proposes a spatial predictive model for classification of surficial and deep earth materials derived from the geochemical composition of surface regolith. The model is based on a combination of geostatistical simulation and machine learning approaches. A random forest predictive model is trained and features are ranked based on their contribution to the predictive model. To generate potential and uncertainty maps, compositional data are simulated at unsampled locations via a chain of transformations (isometric log-ratio transformation followed by the flow anamorphosis) and geostatistical simulation. The simulated results are subsequently back-transformed to the original compositional space. The trained predictive model is used to estimate the probability of classes for simulated compositions. The proposed approach is illustrated through two case studies. In the first case study the major crustal blocks of the Australian continent are predicted from the surface regolith geochemistry of the National Geochemical Survey of Australia project. The aim of the second case study is to discover the superficial deposits (peat) from the regional-scale soil geochemical data of the Tellus project. The accuracy of the results in these two case studies confirms the usefulness of the proposed method for geological class prediction and geological process discovery.

Published
2019

70. Prostate-specific antigen velocity in a prospective prostate cancer screening study of men with genetic predisposition (vol 118, pg 266, 2018)

Author

Mikropoulos, C., Selkirk, C.G.H., Saya, S., Bancroft, E., Vertosick, E., Dadaev, T., Brendler, C., Page, E., Dias, A., Evans, D.G., Rothwell, J., Maehle, L., Axcrona, K., Richardson, K., Eccles, D., Jensen, T., Osther, P.J., Asperen, C.J. van, Vasen, H., Kiemeney, L.A., Ringelberg, J., Cybulski, C., Wokolorczyk, D., Hart, R., Glover, W., Lam, J., Taylor, L., Salinas, M., Feliubadalo, L., Oldenburg, R., Cremers, R., Verhaegh, G., Zelst-Stams, W.A. van, Oosterwijk, J.C., Cook, J., Rosario, D.J., Buys, S.S., Conner, T., Domchek, S., Powers, J., Ausems, M.G.E.M., Teixeira, M.R., Maia, S., Izatt, L., Schmutzler, R., Rhiem, K., Foulkes, W.D., Boshari, T., Davidson, R., Ruijs, M., Helderman-van den Enden, A.T.J.M., Andrews, L., Walker, L., Snape, K., Henderson, A., Jobson, I., Lindeman, G.J., Liljegren, A., Harris, M., Adank, M.A., Kirk, J., Taylor, A., Susman, R., Chen-Shtoyerman, R., Pachter, N., Spigelman, A., Side, L., Zgajnar, J., Mora, J., Brewer, C., Gadea, N., Brady, A.F., Gallagher, D., Os, T. van, Donaldson, A., Stefansdottir, V., Barwell, J., James, P.A., Murphy, D., Friedman, E., Nicolai, N., Greenhalgh, L., Obeid, E., Murthy, V., Copakova, L., McGrath, J., Teo, S.H., Strom, S., Kast, K., Leongamornlert, D.A., Chamberlain, A., Pope, J., Newlin, A.C., Aaronson, N., Ardern-Jones, A., Bangma, C., Castro, E., Dearnaley, D., Eyfjord, J., Falconer, A., Foster, C.S., Gronberg, H., Hamdy, F.C., Johannsson, O., Khoo, V., Lubinski, J., Grindedal, E.M., McKinley, J., Shackleton, K., Mitra, A.V., Moynihan, C., Rennert, G., Suri, M., Tricker, K., Moss, S., Kote-Jarai, Z., Vickers, A., Lilja, H., Helfand, B.T., Eeles, R.A., and IMPACT Study Collaborators

Published
2018

71. Interim Results from the IMPACT Study: Evidence for Prostate-specific Antigen Screening in BRCA2 Mutation Carriers.

Author

Teixeira M.R., Rhiem K., Izatt L., Tripathi V., Cardoso M., Foulkes W.D., Aprikian A., van Randeraad H., Davidson R., Longmuir M., Ruijs M.W.G., Adank M., Williams R., Andrews L., Murphy D.G., Halliday D., Walker L., Liljegren A., Carlsson S., Azzabi A., Jobson I., Morton C., Shackleton K., Snape K., Hanson H., Harris M., Tischkowitz M., Taylor A., Kirk J., Susman R., Chen-Shtoyerman R., Spigelman A., Pachter N., Ahmed M., Ramon y Cajal T., Zgajnar J., Brewer C., Gadea N., Brady A.F., van Os T., Gallagher D., Johannsson O., Donaldson A., Barwell J., Nicolai N., Friedman E., Obeid E., Greenhalgh L., Murthy V., Copakova L., Saya S., McGrath J., Cooke P., Ronlund K., Richardson K., Henderson A., Teo S.H., Arun B., Kast K., Dias A., Aaronson N.K., Ardern-Jones A., Bangma C.H., Castro E., Dearnaley D., Eccles D.M., Tricker K., Eyfjord J., Falconer A., Foster C., Gronberg H., Hamdy F.C., Stefansdottir V., Khoo V., Lindeman G.J., Lubinski J., Axcrona K., Mikropoulos C., Mitra A., Moynihan C., Rennert G., Suri M., Wilson P., Dudderidge T., Offman J., Kote-Jarai Z., Vickers A., Lilja H., Eeles R.A., Helderman van den Enden A.T.J.M., Page E.C., Bancroft E.K., Brook M.N., Assel M., Hassan Al Battat M., Thomas S., Taylor N., Chamberlain A., Pope J., Raghallaigh H.N., Evans D.G., Rothwell J., Maehle L., Grindedal E.M., James P., Mascarenhas L., McKinley J., Side L., Thomas T., van Asperen C., Vasen H., Kiemeney L.A., Ringelberg J., Jensen T.D., Osther P.J.S., Helfand B.T., Genova E., Oldenburg R.A., Cybulski C., Wokolorczyk D., Ong K.-R., Huber C., Lam J., Taylor L., Salinas M., Feliubadalo L., Oosterwijk J.C., van Zelst-Stams W., Cook J., Rosario D.J., Domchek S., Powers J., Buys S., O'Toole K., Ausems M.G.E.M., Schmutzler R.K., Teixeira M.R., Rhiem K., Izatt L., Tripathi V., Cardoso M., Foulkes W.D., Aprikian A., van Randeraad H., Davidson R., Longmuir M., Ruijs M.W.G., Adank M., Williams R., Andrews L., Murphy D.G., Halliday D., Walker L., Liljegren A., Carlsson S., Azzabi A., Jobson I., Morton C., Shackleton K., Snape K., Hanson H., Harris M., Tischkowitz M., Taylor A., Kirk J., Susman R., Chen-Shtoyerman R., Spigelman A., Pachter N., Ahmed M., Ramon y Cajal T., Zgajnar J., Brewer C., Gadea N., Brady A.F., van Os T., Gallagher D., Johannsson O., Donaldson A., Barwell J., Nicolai N., Friedman E., Obeid E., Greenhalgh L., Murthy V., Copakova L., Saya S., McGrath J., Cooke P., Ronlund K., Richardson K., Henderson A., Teo S.H., Arun B., Kast K., Dias A., Aaronson N.K., Ardern-Jones A., Bangma C.H., Castro E., Dearnaley D., Eccles D.M., Tricker K., Eyfjord J., Falconer A., Foster C., Gronberg H., Hamdy F.C., Stefansdottir V., Khoo V., Lindeman G.J., Lubinski J., Axcrona K., Mikropoulos C., Mitra A., Moynihan C., Rennert G., Suri M., Wilson P., Dudderidge T., Offman J., Kote-Jarai Z., Vickers A., Lilja H., Eeles R.A., Helderman van den Enden A.T.J.M., Page E.C., Bancroft E.K., Brook M.N., Assel M., Hassan Al Battat M., Thomas S., Taylor N., Chamberlain A., Pope J., Raghallaigh H.N., Evans D.G., Rothwell J., Maehle L., Grindedal E.M., James P., Mascarenhas L., McKinley J., Side L., Thomas T., van Asperen C., Vasen H., Kiemeney L.A., Ringelberg J., Jensen T.D., Osther P.J.S., Helfand B.T., Genova E., Oldenburg R.A., Cybulski C., Wokolorczyk D., Ong K.-R., Huber C., Lam J., Taylor L., Salinas M., Feliubadalo L., Oosterwijk J.C., van Zelst-Stams W., Cook J., Rosario D.J., Domchek S., Powers J., Buys S., O'Toole K., Ausems M.G.E.M., and Schmutzler R.K.

Abstract

Background: Mutations in BRCA2 cause a higher risk of early-onset aggressive prostate cancer (PrCa). The IMPACT study is evaluating targeted PrCa screening using prostate-specific-antigen (PSA) in men with germline BRCA1/2 mutations. Objective(s): To report the utility of PSA screening, PrCa incidence, positive predictive value of PSA, biopsy, and tumour characteristics after 3 yr of screening, by BRCA status. Design, setting, and participants: Men aged 40-69 yr with a germline pathogenic BRCA1/2 mutation and male controls testing negative for a familial BRCA1/2 mutation were recruited. Participants underwent PSA screening for 3 yr, and if PSA > 3.0 ng/ml, men were offered prostate biopsy. Outcome measurements and statistical analysis: PSA levels, PrCa incidence, and tumour characteristics were evaluated. Statistical analyses included Poisson regression offset by person-year follow-up, chi-square tests for proportion t tests for means, and Kruskal-Wallis for medians. Results and limitations: A total of 3027 patients (2932 unique individuals) were recruited (919 BRCA1 carriers, 709 BRCA1 noncarriers, 902 BRCA2 carriers, and 497 BRCA2 noncarriers). After 3 yr of screening, 527 men had PSA > 3.0 ng/ml, 357 biopsies were performed, and 112 PrCa cases were diagnosed (31 BRCA1 carriers, 19 BRCA1 noncarriers, 47 BRCA2 carriers, and 15 BRCA2 noncarriers). Higher compliance with biopsy was observed in BRCA2 carriers compared with noncarriers (73% vs 60%). Cancer incidence rate per 1000 person years was higher in BRCA2 carriers than in noncarriers (19.4 vs 12.0; p = 0.03); BRCA2 carriers were diagnosed at a younger age (61 vs 64 yr; p = 0.04) and were more likely to have clinically significant disease than BRCA2 noncarriers (77% vs 40%; p = 0.01). No differences in age or tumour characteristics were detected between BRCA1 carriers and BRCA1 noncarriers. The 4 kallikrein marker model discriminated better (area under the curve [AUC] = 0.73) for clinically significant cancer at

Published
2019

72. Evaluation of telephone genetic counselling to facilitate germline BRCA1/2 testing in women with high-grade serous ovarian cancer

Author

Tutty, E, Petelin, L, McKinley, J, Young, MA, Meiser, B, Rasmussen, VM, Forbes Shepherd, R, James, PA, Forrest, LE, Tutty, E, Petelin, L, McKinley, J, Young, MA, Meiser, B, Rasmussen, VM, Forbes Shepherd, R, James, PA, and Forrest, LE

Abstract

Systemic healthcare issues and geographical challenges restrict women’s access to BRCA1/2 testing to inform the use of tailored treatments for high-grade serous ovarian cancer. Consequently, BRCA1/2 testing in this population is low and improved testing pathways are urgently needed. This study aimed to determine the acceptability and feasibility of telephone genetic counselling (TGC) to facilitate treatment-focused BRCA1/2 testing in Australia for women with high-grade serous ovarian cancer. Women who received TGC were invited to complete a survey examining their experiences of the service. A cost analysis was conducted to compare the service to standard, in-person genetic counselling. One hundred and seven women responded (48% response rate); 8 had a BRCA1/2 variant affecting function. Geographical barriers prevented women from accessing genetic services in the past. All participants had a positive attitude towards testing, and regret following testing was minimal. While the impact of testing was greater for those with a positive test result, overall, genetic testing did not put the additional psychosocial burden on the participants. Participant’s evaluations of the telephone interactions with the genetic counsellors were highly satisfactory. The service was also found to be cost-effective. This model of telephone genetic counselling was an acceptable and effective way to reduce barriers to BRCA1/2 testing for women with ovarian cancer.

Published
2019

73. Multimodal (inter)action analysis

Author

McKinley, J., Rose, H., Geenen, J.G., Pirini, J., McKinley, J., Rose, H., Geenen, J.G., and Pirini, J.

Abstract

Item does not contain fulltext

Published
2019

74. Psychosocial impact of undergoing prostate cancer screening for men with BRCA1 or BRCA2 mutations

Author

Bancroft, EK, Saya, S, Page, EC, Myhill, K, Thomas, S, Pope, J, Chamberlain, A, Hart, R, Glover, W, Cook, J, Rosario, DJ, Helfand, BT, Selkirk, CH, Davidson, R, Longmuir, M, Eccles, DM, Gadea, N, Brewer, C, Barwell, J, Salinas, M, Greenhalgh, L, Tischkowitz, M, Henderson, A, Evans, DG, Buys, SS, Eeles, RA, Aaronson, NK, Eeles, R, Bancroft, E, Page, E, Kote-Jarai, Z, Ardern-Jones, A, Bangma, C, Castro, E, Dearnaley, D, Falconer, A, Foster, C, Gronberg, H, Hamdy, FC, Johannsson, OT, Khoo, V, Eccles, D, Lilja, H, Evans, G, Eyfjord, J, Lubinski, J, Maehle, L, Mikropoulos, C, Millner, A, Mitra, A, Offman, J, Moynihan, C, Rennert, G, Suri, M, Dias, A, Taylor, N, D'Mello, L, James, P, Mitchell, G, Shanley, S, Richardson, K, McKinley, J, Petelin, L, Murphy, M, Mascarenhas, L, Murphy, D, Lam, J, Taylor, L, Miller, C, Stapleton, A, Chong, M, Suthers, G, Poplawski, N, Tucker, K, Andrews, L, Duffy, J, Millard, R, Ward, R, Williams, R, Stricker, P, Kirk, J, Bowman, M, Patel, M, Harris, M, O'Connell, S, Hunt, C, Smyth, C, Frydenberg, M, Lindeman, G, Shackleton, K, Morton, C, Susman, R, McGaughran, J, Boon, M, Pachter, N, Townshend, S, Schofield, L, Nicholls, C, Spigelman, A, Gleeson, M, Amor, D, Burke, J, Patterson, B, Swindle, P, Scott, R, Foulkes, W, Boshari, T, Aprikian, A, Jensen, T, Bojeson, A, Osther, P, Skytte, A-B, Cruger, D, Tondering, MK, Gerdes, A-M, Schmutzler, R, Rhiem, K, Wihler, P, Kast, K, Griebsch, C, Johannsson, O, Stefansdottir, V, Murthy, V, Sarin, R, Awatagiri, K, Ghonge, S, Kowtal, P, Mulgund, G, Gallagher, D, Bambury, R, Farrell, M, Gallagher, F, Kiernan, I, Friedman, E, Chen-Shtoyerman, R, Basevitch, A, Leibovici, D, Melzer, E, Ben-Yehoshua, SJ, Nicolai, N, Radice, P, Valdagni, R, Magnani, T, Gay, S, Teo, SH, Tan, HM, Yoon, S-Y, Thong, MK, Vasen, H, Ringleberg, J, van Asperen, C, Kiemeney, B, van Zelst-Stams, W, Ausems, MGEM, van der Luijt, RB, van Os, T, Ruijs, MWG, Adank, MA, Oldenburg, RA, Helderman-van den Enden, APTJM, Caanen, BAH, Oosterwijk, JC, Moller, P, Brennhovd, B, Medvik, H, Hanslien, E, Grindedal, EM, Cybulski, C, Wokolorczyk, D, Teixeira, M, Maia, S, Peixoto, A, Henrique, R, Oliveira, J, Goncalves, N, Araujo, L, Seixas, M, Souto, JP, Nogueira, P, Copakova, L, Zgajnar, J, Krajc, M, Vrecar, A, Capella, G, Ramon y Cajal, T, Fisas, D, Mora, J, Esquena, S, Balmana, J, Morote, J, Liljegren, A, Hjalm-Eriksson, M, Ekdahl, K-J, Carlsson, S, George, A, Kemp, Z, Wiggins, J, Moss, C, Van As, N, Thompson, A, Ogden, C, Woodhouse, C, Kumar, P, Bulman, B, Rothwell, J, Tricker, K, Wise, G, Mercer, C, McBride, D, Costello, P, Pearce, A, Torokwa, A, Paterson, J, Clowes, V, Taylor, A, Newcombe, B, Walker, L, Halliday, D, Stayner, B, Fleming-Brown, D, Snape, K, Hanson, H, Hodgson, S, Brice, G, Homfray, T, Hammond, C, Kohut, K, Anjum, U, Dearing, A, Mencias, M, Potter, A, Renton, C, Searle, A, Hill, K, Goodman, S, Garcia, L, Devlin, G, Everest, S, Nadolski, M, Douglas, F, Jobson, I, Paez, E, Donaldson, A, Tomkins, S, Langman, C, Jacobs, C, Pichert, G, Shaw, A, Kulkarni, A, Tripathi, V, Rose, S, Compton, C, Watson, M, Reinholtz, C, Brady, A, Dorkins, H, Melville, A, Kosicka-Slawinska, M, Cummings, C, Kiesel, V, Bartlett, M, Randhawa, K, Ellery, N, Side, L, Male, A, Simon, K, Rees, K, Tidey, L, Gurasashvili, J, Nevitt, L, Ingram, S, Howell, A, Rosario, D, Catto, J, Howson, J, Ong, K-R, Chapman, C, Cole, T, Heaton, T, Hoffman, J, Burgess, L, Huber, C, Islam, F, Watt, C, Duncan, A, Kockelbergh, R, Mzazi, S, Dineen, A, Sattar, A, Kaemba, B, Sidat, Z, Patel, N, Siguake, K, Birt, A, Poultney, U, Umez-Eronini, N, Mom, J, Sutton, V, Cornford, P, Bermingham, N, Yesildag, P, Treherne, K, Griffiths, J, Cogley, L, Gott, H, Rubinstein, WS, Hulick, P, McGuire, M, Shevrin, D, Kaul, K, Weissman, S, Newlin, A, Vogel, K, Weiss, S, Hook, N, Buys, S, Goldgar, D, Conner, T, Venne, V, Stephenson, R, Dechet, C, Domchek, S, Powers, J, Rustgi, N, Strom, S, Arun, B, Davis, JW, Yamamura, Y, Obeid, E, Giri, V, Gross, L, Bealin, L, Cooney, K, Stoffel, E, Okoth, L, Bancroft, EK, Saya, S, Page, EC, Myhill, K, Thomas, S, Pope, J, Chamberlain, A, Hart, R, Glover, W, Cook, J, Rosario, DJ, Helfand, BT, Selkirk, CH, Davidson, R, Longmuir, M, Eccles, DM, Gadea, N, Brewer, C, Barwell, J, Salinas, M, Greenhalgh, L, Tischkowitz, M, Henderson, A, Evans, DG, Buys, SS, Eeles, RA, Aaronson, NK, Eeles, R, Bancroft, E, Page, E, Kote-Jarai, Z, Ardern-Jones, A, Bangma, C, Castro, E, Dearnaley, D, Falconer, A, Foster, C, Gronberg, H, Hamdy, FC, Johannsson, OT, Khoo, V, Eccles, D, Lilja, H, Evans, G, Eyfjord, J, Lubinski, J, Maehle, L, Mikropoulos, C, Millner, A, Mitra, A, Offman, J, Moynihan, C, Rennert, G, Suri, M, Dias, A, Taylor, N, D'Mello, L, James, P, Mitchell, G, Shanley, S, Richardson, K, McKinley, J, Petelin, L, Murphy, M, Mascarenhas, L, Murphy, D, Lam, J, Taylor, L, Miller, C, Stapleton, A, Chong, M, Suthers, G, Poplawski, N, Tucker, K, Andrews, L, Duffy, J, Millard, R, Ward, R, Williams, R, Stricker, P, Kirk, J, Bowman, M, Patel, M, Harris, M, O'Connell, S, Hunt, C, Smyth, C, Frydenberg, M, Lindeman, G, Shackleton, K, Morton, C, Susman, R, McGaughran, J, Boon, M, Pachter, N, Townshend, S, Schofield, L, Nicholls, C, Spigelman, A, Gleeson, M, Amor, D, Burke, J, Patterson, B, Swindle, P, Scott, R, Foulkes, W, Boshari, T, Aprikian, A, Jensen, T, Bojeson, A, Osther, P, Skytte, A-B, Cruger, D, Tondering, MK, Gerdes, A-M, Schmutzler, R, Rhiem, K, Wihler, P, Kast, K, Griebsch, C, Johannsson, O, Stefansdottir, V, Murthy, V, Sarin, R, Awatagiri, K, Ghonge, S, Kowtal, P, Mulgund, G, Gallagher, D, Bambury, R, Farrell, M, Gallagher, F, Kiernan, I, Friedman, E, Chen-Shtoyerman, R, Basevitch, A, Leibovici, D, Melzer, E, Ben-Yehoshua, SJ, Nicolai, N, Radice, P, Valdagni, R, Magnani, T, Gay, S, Teo, SH, Tan, HM, Yoon, S-Y, Thong, MK, Vasen, H, Ringleberg, J, van Asperen, C, Kiemeney, B, van Zelst-Stams, W, Ausems, MGEM, van der Luijt, RB, van Os, T, Ruijs, MWG, Adank, MA, Oldenburg, RA, Helderman-van den Enden, APTJM, Caanen, BAH, Oosterwijk, JC, Moller, P, Brennhovd, B, Medvik, H, Hanslien, E, Grindedal, EM, Cybulski, C, Wokolorczyk, D, Teixeira, M, Maia, S, Peixoto, A, Henrique, R, Oliveira, J, Goncalves, N, Araujo, L, Seixas, M, Souto, JP, Nogueira, P, Copakova, L, Zgajnar, J, Krajc, M, Vrecar, A, Capella, G, Ramon y Cajal, T, Fisas, D, Mora, J, Esquena, S, Balmana, J, Morote, J, Liljegren, A, Hjalm-Eriksson, M, Ekdahl, K-J, Carlsson, S, George, A, Kemp, Z, Wiggins, J, Moss, C, Van As, N, Thompson, A, Ogden, C, Woodhouse, C, Kumar, P, Bulman, B, Rothwell, J, Tricker, K, Wise, G, Mercer, C, McBride, D, Costello, P, Pearce, A, Torokwa, A, Paterson, J, Clowes, V, Taylor, A, Newcombe, B, Walker, L, Halliday, D, Stayner, B, Fleming-Brown, D, Snape, K, Hanson, H, Hodgson, S, Brice, G, Homfray, T, Hammond, C, Kohut, K, Anjum, U, Dearing, A, Mencias, M, Potter, A, Renton, C, Searle, A, Hill, K, Goodman, S, Garcia, L, Devlin, G, Everest, S, Nadolski, M, Douglas, F, Jobson, I, Paez, E, Donaldson, A, Tomkins, S, Langman, C, Jacobs, C, Pichert, G, Shaw, A, Kulkarni, A, Tripathi, V, Rose, S, Compton, C, Watson, M, Reinholtz, C, Brady, A, Dorkins, H, Melville, A, Kosicka-Slawinska, M, Cummings, C, Kiesel, V, Bartlett, M, Randhawa, K, Ellery, N, Side, L, Male, A, Simon, K, Rees, K, Tidey, L, Gurasashvili, J, Nevitt, L, Ingram, S, Howell, A, Rosario, D, Catto, J, Howson, J, Ong, K-R, Chapman, C, Cole, T, Heaton, T, Hoffman, J, Burgess, L, Huber, C, Islam, F, Watt, C, Duncan, A, Kockelbergh, R, Mzazi, S, Dineen, A, Sattar, A, Kaemba, B, Sidat, Z, Patel, N, Siguake, K, Birt, A, Poultney, U, Umez-Eronini, N, Mom, J, Sutton, V, Cornford, P, Bermingham, N, Yesildag, P, Treherne, K, Griffiths, J, Cogley, L, Gott, H, Rubinstein, WS, Hulick, P, McGuire, M, Shevrin, D, Kaul, K, Weissman, S, Newlin, A, Vogel, K, Weiss, S, Hook, N, Buys, S, Goldgar, D, Conner, T, Venne, V, Stephenson, R, Dechet, C, Domchek, S, Powers, J, Rustgi, N, Strom, S, Arun, B, Davis, JW, Yamamura, Y, Obeid, E, Giri, V, Gross, L, Bealin, L, Cooney, K, Stoffel, E, and Okoth, L

Abstract

OBJECTIVES: To report the baseline results of a longitudinal psychosocial study that forms part of the IMPACT study, a multi-national investigation of targeted prostate cancer (PCa) screening among men with a known pathogenic germline mutation in the BRCA1 or BRCA2 genes. PARTICPANTS AND METHODS: Men enrolled in the IMPACT study were invited to complete a questionnaire at collaborating sites prior to each annual screening visit. The questionnaire included sociodemographic characteristics and the following measures: the Hospital Anxiety and Depression Scale (HADS), Impact of Event Scale (IES), 36-item short-form health survey (SF-36), Memorial Anxiety Scale for Prostate Cancer, Cancer Worry Scale-Revised, risk perception and knowledge. The results of the baseline questionnaire are presented. RESULTS: A total of 432 men completed questionnaires: 98 and 160 had mutations in BRCA1 and BRCA2 genes, respectively, and 174 were controls (familial mutation negative). Participants' perception of PCa risk was influenced by genetic status. Knowledge levels were high and unrelated to genetic status. Mean scores for the HADS and SF-36 were within reported general population norms and mean IES scores were within normal range. IES mean intrusion and avoidance scores were significantly higher in BRCA1/BRCA2 carriers than in controls and were higher in men with increased PCa risk perception. At the multivariate level, risk perception contributed more significantly to variance in IES scores than genetic status. CONCLUSION: This is the first study to report the psychosocial profile of men with BRCA1/BRCA2 mutations undergoing PCa screening. No clinically concerning levels of general or cancer-specific distress or poor quality of life were detected in the cohort as a whole. A small subset of participants reported higher levels of distress, suggesting the need for healthcare professionals offering PCa screening to identify these risk factors and offer additional information and support t

Published
2019

75. Interim Results from the IMPACT Study: Evidence for Prostate-specific Antigen Screening in BRCA2 Mutation Carriers

Author

Page, EC, Bancroft, EK, Brook, MN, Assel, M, Al Battat, MH, Thomas, S, Taylor, N, Chamberlain, A, Pope, J, Ni Raghallaigh, H, Evans, DG, Rothwell, J, Maehle, L, Grindedal, EM, James, P, Mascarenhas, L, McKinley, J, Side, L, Thomas, T, van Asperen, C, Vasen, H, Kiemeney, LA, Ringelberg, J, Jensen, TD, Osther, PJS, Helfand, BT, Genova, E, Oldenburg, RA, Cybulski, C, Wokolorczyk, D, Ong, K-R, Huber, C, Lam, J, Taylor, L, Salinas, M, Feliubadalo, L, Oosterwijk, JC, van Zelst-Stams, W, Cook, J, Rosario, DJ, Domchek, S, Powers, J, Buys, S, O'Toole, K, Ausems, MGEM, Schmutzler, RK, Rhiem, K, Izatt, L, Tripathi, V, Teixeira, MR, Cardoso, M, Foulkes, WD, Aprikian, A, van Randeraad, H, Davidson, R, Longmuir, M, Ruijs, MWG, Helderman van den Enden, ATJM, Adank, M, Williams, R, Andrews, L, Murphy, DG, Halliday, D, Walker, L, Liljegren, A, Carlsson, S, Azzabi, A, Jobson, I, Morton, C, Shackleton, K, Snape, K, Hanson, H, Harris, M, Tischkowitz, M, Taylor, A, Kirk, J, Susman, R, Chen-Shtoyerman, R, Spigelman, A, Pachter, N, Ahmed, M, Ramon y Cajal, T, Zgajnar, J, Brewer, C, Gadea, N, Brady, AF, van Os, T, Gallagher, D, Johannsson, O, Donaldson, A, Barwell, J, Nicolai, N, Friedman, E, Obeid, E, Greenhalgh, L, Murthy, V, Copakova, L, Saya, S, McGrath, J, Cooke, P, Ronlund, K, Richardson, K, Henderson, A, Teo, SH, Arun, B, Kast, K, Dias, A, Aaronson, NK, Ardern-Jones, A, Bangma, CH, Castro, E, Dearnaley, D, Eccles, DM, Tricker, K, Eyfjord, J, Falconer, A, Foster, C, Gronberg, H, Hamdy, FC, Stefansdottir, V, Khoo, V, Lindeman, GJ, Lubinski, J, Axcrona, K, Mikropoulos, C, Mitra, A, Moynihan, C, Rennert, G, Suri, M, Wilson, P, Dudderidge, T, Offman, J, Kote-Jarai, Z, Vickers, A, Lilja, H, Eeles, RA, Page, EC, Bancroft, EK, Brook, MN, Assel, M, Al Battat, MH, Thomas, S, Taylor, N, Chamberlain, A, Pope, J, Ni Raghallaigh, H, Evans, DG, Rothwell, J, Maehle, L, Grindedal, EM, James, P, Mascarenhas, L, McKinley, J, Side, L, Thomas, T, van Asperen, C, Vasen, H, Kiemeney, LA, Ringelberg, J, Jensen, TD, Osther, PJS, Helfand, BT, Genova, E, Oldenburg, RA, Cybulski, C, Wokolorczyk, D, Ong, K-R, Huber, C, Lam, J, Taylor, L, Salinas, M, Feliubadalo, L, Oosterwijk, JC, van Zelst-Stams, W, Cook, J, Rosario, DJ, Domchek, S, Powers, J, Buys, S, O'Toole, K, Ausems, MGEM, Schmutzler, RK, Rhiem, K, Izatt, L, Tripathi, V, Teixeira, MR, Cardoso, M, Foulkes, WD, Aprikian, A, van Randeraad, H, Davidson, R, Longmuir, M, Ruijs, MWG, Helderman van den Enden, ATJM, Adank, M, Williams, R, Andrews, L, Murphy, DG, Halliday, D, Walker, L, Liljegren, A, Carlsson, S, Azzabi, A, Jobson, I, Morton, C, Shackleton, K, Snape, K, Hanson, H, Harris, M, Tischkowitz, M, Taylor, A, Kirk, J, Susman, R, Chen-Shtoyerman, R, Spigelman, A, Pachter, N, Ahmed, M, Ramon y Cajal, T, Zgajnar, J, Brewer, C, Gadea, N, Brady, AF, van Os, T, Gallagher, D, Johannsson, O, Donaldson, A, Barwell, J, Nicolai, N, Friedman, E, Obeid, E, Greenhalgh, L, Murthy, V, Copakova, L, Saya, S, McGrath, J, Cooke, P, Ronlund, K, Richardson, K, Henderson, A, Teo, SH, Arun, B, Kast, K, Dias, A, Aaronson, NK, Ardern-Jones, A, Bangma, CH, Castro, E, Dearnaley, D, Eccles, DM, Tricker, K, Eyfjord, J, Falconer, A, Foster, C, Gronberg, H, Hamdy, FC, Stefansdottir, V, Khoo, V, Lindeman, GJ, Lubinski, J, Axcrona, K, Mikropoulos, C, Mitra, A, Moynihan, C, Rennert, G, Suri, M, Wilson, P, Dudderidge, T, Offman, J, Kote-Jarai, Z, Vickers, A, Lilja, H, and Eeles, RA

Abstract

BACKGROUND: Mutations in BRCA2 cause a higher risk of early-onset aggressive prostate cancer (PrCa). The IMPACT study is evaluating targeted PrCa screening using prostate-specific-antigen (PSA) in men with germline BRCA1/2 mutations. OBJECTIVE: To report the utility of PSA screening, PrCa incidence, positive predictive value of PSA, biopsy, and tumour characteristics after 3 yr of screening, by BRCA status. DESIGN, SETTING, AND PARTICIPANTS: Men aged 40-69 yr with a germline pathogenic BRCA1/2 mutation and male controls testing negative for a familial BRCA1/2 mutation were recruited. Participants underwent PSA screening for 3 yr, and if PSA > 3.0 ng/ml, men were offered prostate biopsy. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: PSA levels, PrCa incidence, and tumour characteristics were evaluated. Statistical analyses included Poisson regression offset by person-year follow-up, chi-square tests for proportion t tests for means, and Kruskal-Wallis for medians. RESULTS AND LIMITATIONS: A total of 3027 patients (2932 unique individuals) were recruited (919 BRCA1 carriers, 709 BRCA1 noncarriers, 902 BRCA2 carriers, and 497 BRCA2 noncarriers). After 3 yr of screening, 527 men had PSA > 3.0 ng/ml, 357 biopsies were performed, and 112 PrCa cases were diagnosed (31 BRCA1 carriers, 19 BRCA1 noncarriers, 47 BRCA2 carriers, and 15 BRCA2 noncarriers). Higher compliance with biopsy was observed in BRCA2 carriers compared with noncarriers (73% vs 60%). Cancer incidence rate per 1000 person years was higher in BRCA2 carriers than in noncarriers (19.4 vs 12.0; p = 0.03); BRCA2 carriers were diagnosed at a younger age (61 vs 64 yr; p = 0.04) and were more likely to have clinically significant disease than BRCA2 noncarriers (77% vs 40%; p = 0.01). No differences in age or tumour characteristics were detected between BRCA1 carriers and BRCA1 noncarriers. The 4 kallikrein marker model discriminated better (area under the curve [AUC] = 0.73) for clinically significant cancer at

Published
2019

76. Prostate-specific antigen velocity in a prospective prostate cancer screening study of men with genetic predisposition

Author

Mikropoulos, C., Selkirk, C.G.H., Saya, S., Bancroft, E., Vertosick, E., Dadaev, T., Brendler, C., Page, E., Dias, A., Evans, D.G., Rothwell, J., Maehle, L., Axcrona, K., Richardson, K., Eccles, D., Jensen, T., Osther, P.J., Asperen, C.J. van, Vasen, H., Kiemeney, L.A., Ringelberg, J., Cybulski, C., Wokolorczyk, D., Hart, R., Glover, W., Lam, J., Taylor, L., Salinas, M., Feliubadalo, L., Oldenburg, R., Cremers, R., Verhaegh, G., Zelst-Stams, W.A. van, Oosterwijk, J.C., Cook, J., Rosario, D.J., Buys, S.S., Conner, T., Domchek, S., Powers, J., Ausems, M.G.E.M., Teixeira, M.R., Maia, S., Izatt, L., Schmutzler, R., Rhiem, K., Foulkes, W.D., Boshari, T., Davidson, R., Ruijs, M., Helderman-van den Enden, A.T.J.M., Andrews, L., Walker, L., Snape, K., Henderson, A., Jobson, I., Lindeman, G.J., Liljegren, A., Harris, M., Adank, M.A., Kirk, J., Taylor, A., Susman, R., Chen-Shtoyerman, R., Pachter, N., Spigelman, A., Side, L., Zgajnar, J., Mora, J., Brewer, C., Gadea, N., Brady, A.F., Gallagher, D., Os, T. van, Donaldson, A., Stefansdottir, V., Barwell, J., James, P.A., Murphy, D., Friedman, E., Nicolai, N., Greenhalgh, L., Obeid, E., Murthy, V., Copakova, L., McGrath, J., Teo, S.H., Strom, S., Kast, K., Leongamornlert, D.A., Chamberlain, A., Pope, J., Newlin, A.C., Aaronson, N., Ardern-Jones, A., Bangma, C., Castro, E., Dearnaley, D., Eyfjord, J., Falconer, A., Foster, C.S., Gronberg, H., Hamdy, F.C., Johannsson, O., Khoo, V., Lubinski, J., Grindedal, E.M., McKinley, J., Shackleton, K., Mitra, A.V., Moynihan, C., Rennert, G., Suri, M., Tricker, K., Moss, S., Kote-Jarai, Z., Vickers, A., Lilja, H., Helfand, B.T., Eeles, R.A., and IMPACT Study Collaborators

Subjects
predictive model, prostate cancer, BRCA1, urologic and male genital diseases, genetic predisposition, BRCA2, PSA velocity
Abstract

Background: Prostate-specific antigen (PSA) and PSA-velocity (PSAV) have been used to identify men at risk of prostate cancer (PrCa). The IMPACT study is evaluating PSA screening in men with a known genetic predisposition to PrCa due to BRCA1/2 mutations. This analysis evaluates the utility of PSA and PSAV for identifying PrCa and high-grade disease in this cohort. Methods: PSAV was calculated using logistic regression to determine if PSA or PSAV predicted the result of prostate biopsy (PB) in men with elevated PSA values. Cox regression was used to determine whether PSA or PSAV predicted PSA elevation in men with low PSAs. Interaction terms were included in the models to determine whether BRCA status influenced the predictiveness of PSA or PSAV. Results: 1634 participants had >= 3 PSA readings of whom 174 underwent PB and 45 PrCas diagnosed. In men with PSA >3.0 ng ml(-1), PSAV was not significantly associated with presence of cancer or high-grade disease. PSAV did not add to PSA for predicting time to an elevated PSA. When comparing BRCA1/2 carriers to non-carriers, we found a significant interaction between BRCA status and last PSA before biopsy (P = 0.031) and BRCA2 status and PSAV (P = 0.024). However, PSAV was not predictive of biopsy outcome in BRCA2 carriers. Conclusions: PSA is more strongly predictive of PrCa in BRCA carriers than non-carriers. We did not find evidence that PSAV aids decision-making for BRCA carriers over absolute PSA value alone.

Published
2018

77. Exploration targeting by multivariate compositional extrema

Author

Boogaart, K. G., Tolosana Delgado, R., and Mckinley, J.

Subjects
Potential Mapping, Signal Analysis, Geostatistics
Abstract

Many different exploration targeting methods exist, like weights of evidence; inferring the probability of a deposit based on a local geology; genetic models identifying favourable conditions; and fractal based methods trying to identify regions of high value of certain fractal measures. This contribution proposes an approach potentially useful for deposits under cover: to find locations which are locally extrema on a certain spatial scale. While surface features typically dominate the absolute values of measurements, covered objects can still produce large halos of much smaller absolute value. Our method thus looks for halos at a certain spatial scale. It does so by estimating a band filtered negative of the second derivative of the random field from spatial data, either from regular data or from a geostatistical analysis. In a certain sense this is looking for local peakiness, but filters the high frequency noise from surface effects by means of signal processing methods. The local maxima and their surrounding are then taken as the potential targets. In a multivariate surface dataset, as provided by a geochemical exploration campaign, such a filter can be applied to the complete vector (i.e. the clr or ilr transformed compositions). This results is a nought mean compositional random field. Furthermore the bandwidth of the filter can be varied and considered as a third dimension. In this 3D map, we can again find various types of extremal points. The location on the 2D geographic space of the extreme value of the signal depends on the location of the deposit. Furthermore, the location on the third dimension relates to the deposit size or depth, and its compositional value describes its geochemical properties. We demonstrate the effects of the method with a regional geochemical exploration dataset.

Published
2018

78. A novel gene causing primary familial brain calcification: JAM2

Author

Schottlaender, L. V., Abeti, R., Jaunmuktane, Z., Soutar, M., Mckinley, J., Swayne, O., Bettencourt, C., Forbes, R., Morrison, P. J., Hughes, D., Pittman, A., Kalmar, B., Grandis, M., Mcdonnell, G. V., Brandner, S., Lyons, M. Aurrand, Giunti, P., Houlden, H., Centre de Recherche en Cancérologie de Marseille (CRCM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Aix Marseille Université (AMU)-Institut Paoli-Calmettes, and Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV]Life Sciences [q-bio]
Abstract

4th Congress of the European-Academy-of-Neurology (EAN), Lisbon, PORTUGAL, JUN 16-19, 2018

Published
2018

79. Cinemática de velocidade e aceleração do robô serial Mitsubishi Movemaster RV-M1

Author

Mercado, L.D. Martínez, Bolívar, L. Martínez, and Mckinley, J. Roldán

Subjects
cinemática de velocidad, Mitsubishi RV-M1, Mitsubishi RVM1, cinemática de aceleração, Cinemática de velocidade, DAQ velocidad, cinemática de aceleración, Robotics, DAQ de velocidade, Robótica, acceleration kinematics, velocity kinematics, velocity DAQ
Abstract

Resumen: Se presenta la formulación explícita de la cinemática de velocidad y aceleración para el robot Movemaster RV-M1, a partir de su matriz de transformación de posición de la herramienta. Las ecuaciones permitieron la creación de una interfaz gráfica de usuario en Matlab para las simulaciones de trayectoria y cálculo de las velocidades y aceleraciones, tanto de la herramienta como de las juntas del robot. Una tarea cinemática asociada a un cordón lineal de soldadura vertical fue simulada en la interfaz, y posteriormente implementada en el robot usando los comandos y hardware originales del fabricante. En el experimento se utilizó un DAQ construido para medir las velocidades angulares de los elementos en el marco fijo. A partir de estas lecturas se validaron satisfactoriamente los resultados de la formulación matemática propuesta, no reportada previamente. Abstract: The explicit formulation of the velocity and acceleration kinematics for the Movemaster RV-M1 robot is presented. The formulae are obtained from the tool position transformation matrix. The derived formulation allowed creating a Matlab graphical user interface for simulation of kinematic tasks and calculation of velocity and acceleration, for both tool and robot joints. A vertical linear weld type kinematic task was simulated and later carried out in the actual robot using programming commands and hardware provided by the manufacturer. An angular velocity DAQ was built to measure the velocities of the joints in the fixed coordinate system, and used in the experimental stage. From the results, a satisfactory validation of the mathematical formulae was made. The derived formulation for this robot was available had not been presented before. Resumo: É apresentada a formulação explícita da cinemática de velocidade e aceleração para o robô Movemaster RVM1, a partir de sua matriz de transformação de posição da ferramenta. As equações permitiram a criação de uma interface gráfi ca de usuário em Matlab para as simulações de trajetória e cálculo das velocidades e acelerações, tanto da ferramenta como das juntas do robô. Uma tarefa cinemática associada a um cordão linear de solda vertical foi simulada na interface, e posteriormente implementada no robô usando os comandos e hardware originais do fabricante. Na experiência, foi utilizado um DAQ construído para medir as velocidades angulares dos elementos num sistema de referência fi xo. A partir dessas leituras foram validados de forma satisfatória os resultados da formulação matemática proposta, não relatada anteriormente.

Published
2017

80. The Beaker Phenomenon and the genomic transformation of Northwest Europe

Author

Olalde, I., Brace, S., Allentoft, M., Armit, I., Kristiansen, K., Rohland, N., Mallick, S., Booth, T., Szécsényi-Nagy, A., Mittnik, A., Altena, E., Lipson, M., Lazaridis, I., Patterson, N., Broomandkhoshbacht, N., Diekmann, Y., Faltyskova, Z., Fernandes, D., Ferry, M., Harney, E., de Knijff, P., Michel, M., Oppenheimer, J., Stewardson, K., Barclay, A., Alt, K., Fernández, A., Bánffy, E., Bernabò-Brea, M., Billoin, D., Blasco, C., Bonsall, C., Bonsall, L., Allen, T., Büster, L., Carver, S., Navarro, L., Craig, O., Cook, G., Cunliffe, B., Denaire, A., Dinwiddy, K., Dodwell, N., Ernée, M., Evans, C., Kuchařík, M., Farré, J., Fokkens, H., Fowler, C., Gazenbeek, M., Pena, R., Haber-Uriarte, M., Haduch, E., Hey, G., Jowett, N., Knowles, T., Massy, K., Pfrengle, S., Lefranc, P., Lemercier, O., Lefebvre, A., Maurandi, J., Majó, T., McKinley, J., McSweeney, K., Gusztáv, M., Modi, A., Kulcsár, G., Kiss, V., Czene, A., Patay, R., Endródi, A., Köhler, K., Hajdu, T., Cardoso, J., Liesau, C., Pearson, M., Włodarczak, P., Price, T., Prieto, P., Rey, P., Ríos, P., Risch, R., Guerra, M., Schmitt, A., Serralongue, J., Silva, A., Smrčka, V., Vergnaud, L., Zilhão, J., Caramelli, D., Higham, T., Heyd, V., Sheridan, A., Sjögren, K., Thomas, M., Stockhammer, P., Pinhasi, R., Krause, J., Haak, W., Barnes, I., Lalueza-Fox, C., and Reich, D.

Published
2017

81. Linealización del Campo de Medida del Manómetro de Bourdon con Engranajes No Circulares.

Author

Manotas-Cantillo, A., Silva-Gutiérrez, J., and Roldán-Mckinley, J.

Subjects
PRESSURE gages, SCALING (Social sciences), MANOMETERS
Abstract

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Published
2020

82. Aplicación del Criterio D-Optimo a la Fabricación del Bloque Samo #4 para Proponer una Mezcla Bajo Estándares NTC4205-1.

Author

Gil-Rodriguez, K. F., Mendoza-Ruiz, J. A., Saltarín-Jiménez, A., Coba-Salcedo, M., and Roldán-Mckinley, J.

Abstract

Copyright of Scientia et Technica is the property of Scientia et Technica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2020
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84. Diffusion of 18 elements implanted into thermally grown SiO[sub 2].

Author

Francois-Saint-Cyr, H. G., Stevie, F. A., McKinley, J. M., Elshot, K., Chow, L., and Richardson, K. A.

Subjects
DIFFUSION, SILICON oxide, TEMPERATURE, CHEMICAL elements, ION bombardment
Abstract

Diffusion data are presented for 18 elements implanted in SiO[sub 2] layers thermally grown on silicon and annealed at temperatures ranging from 300 to 1000 °C. Most species studied, (e.g., Be, B, Al, Sc, Ti, V, Zn, Ga, and Mo), showed negligible diffusion over the examined temperature range. In general, this study has shown that the diffusivity of dopants or impurities in SiO[sub 2] is significantly smaller than that in silicon. However we also observed that several elements (e.g., Rb and In) have a higher diffusivity in SiO[sub 2] than in Si. Because Ga and In are both used as sources for focused ion beam analyses, the lack of Ga diffusion and the movement of In in SiO[sub 2] is of interest. © 2003 American Institute of Physics. [ABSTRACT FROM AUTHOR]

Published
2003
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85. Prostate-specific antigen velocity in a prospective prostate cancer screening study of men with genetic predisposition.

Author

Izatt L., Davidson R., Ruijs M., Helderman-Van Den Enden A.T., Andrews L., Walker L., Snape K., Henderson A., Jobson I., Lindeman G.J., Liljegren A., Harris M., Adank M.A., Kirk J., Taylor A., Susman R., Chen-Shtoyerman R., Pachter N., Spigelman A., Side L., Zgajnar J., Mora J., Brewer C., Gadea N., Brady A.F., Gallagher D., Van Os T., Donaldson A., Stefansdottir V., Barwell J., James P.A., Murphy D., Friedman E., Nicolai N., Greenhalgh L., Obeid E., Murthy V., Copakova L., McGrath J., Teo S.-H., Strom S., Kast K., Leongamornlert D.A., Chamberlain A., Pope J., Newlin A.C., Aaronson N., Ardern-Jones A., Bangma C., Castro E., Dearnaley D., Eyfjord J., Falconer A., Foster C.S., Gronberg H., Hamdy F.C., Johannsson O., Khoo V., Lubinski J., Grindedal E.M., McKinley J., Shackleton K., Mitra A.V., Moynihan C., Rennert G., Suri M., Tricker K., Moss S., Kote-Jarai Z., Vickers A., Lilja H., Helfand B.T., Eeles R.A., Mikropoulos C., Selkirk C.G.H., Saya S., Bancroft E., Vertosick E., Dadaev T., Brendler C., Page E., Dias A., Evans D.G., Rothwell J., Maehle L., Axcrona K., Richardson K., Eccles D., Jensen T., Osther P.J., Van Asperen C.J., Vasen H., Kiemeney L.A., Ringelberg J., Cybulski C., Wokolorczyk D., Hart R., Glover W., Lam J., Taylor L., Salinas M., Feliubadalo L., Oldenburg R., Cremers R., Verhaegh G., Van Zelst-Stams W.A., Oosterwijk J.C., Cook J., Rosario D.J., Buys S.S., Conner T., Domchek S., Powers J., Ausems M.G., Teixeira M.R., Maia S., Schmutzler R., Rhiem K., Foulkes W.D., Boshari T., Izatt L., Davidson R., Ruijs M., Helderman-Van Den Enden A.T., Andrews L., Walker L., Snape K., Henderson A., Jobson I., Lindeman G.J., Liljegren A., Harris M., Adank M.A., Kirk J., Taylor A., Susman R., Chen-Shtoyerman R., Pachter N., Spigelman A., Side L., Zgajnar J., Mora J., Brewer C., Gadea N., Brady A.F., Gallagher D., Van Os T., Donaldson A., Stefansdottir V., Barwell J., James P.A., Murphy D., Friedman E., Nicolai N., Greenhalgh L., Obeid E., Murthy V., Copakova L., McGrath J., Teo S.-H., Strom S., Kast K., Leongamornlert D.A., Chamberlain A., Pope J., Newlin A.C., Aaronson N., Ardern-Jones A., Bangma C., Castro E., Dearnaley D., Eyfjord J., Falconer A., Foster C.S., Gronberg H., Hamdy F.C., Johannsson O., Khoo V., Lubinski J., Grindedal E.M., McKinley J., Shackleton K., Mitra A.V., Moynihan C., Rennert G., Suri M., Tricker K., Moss S., Kote-Jarai Z., Vickers A., Lilja H., Helfand B.T., Eeles R.A., Mikropoulos C., Selkirk C.G.H., Saya S., Bancroft E., Vertosick E., Dadaev T., Brendler C., Page E., Dias A., Evans D.G., Rothwell J., Maehle L., Axcrona K., Richardson K., Eccles D., Jensen T., Osther P.J., Van Asperen C.J., Vasen H., Kiemeney L.A., Ringelberg J., Cybulski C., Wokolorczyk D., Hart R., Glover W., Lam J., Taylor L., Salinas M., Feliubadalo L., Oldenburg R., Cremers R., Verhaegh G., Van Zelst-Stams W.A., Oosterwijk J.C., Cook J., Rosario D.J., Buys S.S., Conner T., Domchek S., Powers J., Ausems M.G., Teixeira M.R., Maia S., Schmutzler R., Rhiem K., Foulkes W.D., and Boshari T.

Abstract

Background:Prostate-specific antigen (PSA) and PSA-velocity (PSAV) have been used to identify men at risk of prostate cancer (PrCa). The IMPACT study is evaluating PSA screening in men with a known genetic predisposition to PrCa due to BRCA1/2 mutations. This analysis evaluates the utility of PSA and PSAV for identifying PrCa and high-grade disease in this cohort. Method(s):PSAV was calculated using logistic regression to determine if PSA or PSAV predicted the result of prostate biopsy (PB) in men with elevated PSA values. Cox regression was used to determine whether PSA or PSAV predicted PSA elevation in men with low PSAs. Interaction terms were included in the models to determine whether BRCA status influenced the predictiveness of PSA or PSAV. Result(s):1634 participants had 3/43 PSA readings of whom 174 underwent PB and 45 PrCas diagnosed. In men with PSA >3.0 ng ml -l, PSAV was not significantly associated with presence of cancer or high-grade disease. PSAV did not add to PSA for predicting time to an elevated PSA. When comparing BRCA1/2 carriers to non-carriers, we found a significant interaction between BRCA status and last PSA before biopsy (P=0.031) and BRCA2 status and PSAV (P=0.024). However, PSAV was not predictive of biopsy outcome in BRCA2 carriers. Conclusion(s):PSA is more strongly predictive of PrCa in BRCA carriers than non-carriers. We did not find evidence that PSAV aids decision-making for BRCA carriers over absolute PSA value alone.

Published
2018

86. Prostate-specific antigen velocity in a prospective prostate cancer screening study of men with genetic predisposition (vol 118, pg 266, 2018)

Author

Mikropoulos, C, Selkirk, CGH, Saya, S, Bancroft, E, Vertosick, E, Dadaev, T, Brendler, C, Page, E, Dias, A, Evans, DG, Rothwell, J, Maehle, L, Axcrona, K, Richardson, K, Eccles, D, Jensen, T, Osther, PJ, van Asperen, CJ, Vasen, H, Kiemeney, LA, Ringelberg, J, Cybulski, C, Wokolorczyk, D, Hart, R, Glover, W, Lam, J, Taylor, L, Salinas, M, Feliubadalo, L, Oldenburg, R, Cremers, R, Verhaegh, G, van Zelst-Stams, WA, Oosterwijk, JC, Cook, J, Rosario, DJ, Buys, SS, Conner, T, Domchek, S, Powers, J, Ausems, MGEM, Teixeira, MR, Maia, S, Izatt, L, Schmutzler, R, Rhiem, K, Foulkes, WD, Boshari, T, Davidson, R, Ruijs, M, Helderman-van den Enden, ATJM, Andrews, L, Walker, L, Snape, K, Henderson, A, Jobson, I, Lindeman, GJ, Liljegren, A, Harris, M, Adank, MA, Kirk, J, Taylor, A, Susman, R, Chen-Shtoyerman, R, Pachter, N, Spigelman, A, Side, L, Zgajnar, J, Mora, J, Brewer, C, Gadea, N, Brady, AF, Gallagher, D, van Os, T, Donaldson, A, Stefansdottir, V, Barwell, J, James, PA, Murphy, D, Friedman, E, Nicolai, N, Greenhalgh, L, Obeid, E, Murthy, V, Copakova, L, McGrath, J, Teo, S-H, Strom, S, Kast, K, Leongamornlert, DA, Chamberlain, A, Pope, J, Newlin, AC, Aaronson, N, Ardern-Jones, A, Bangma, C, Castro, E, Dearnaley, D, Eyfjord, J, Falconer, A, Foster, CS, Gronberg, H, Hamdy, FC, Johannsson, O, Khoo, V, Lubinski, J, Grindedal, EM, McKinley, J, Shackleton, K, Mitra, AV, Moynihan, C, Rennert, G, Suri, M, Tricker, K, Moss, S, Kote-Jarai, Z, Vickers, A, Lilja, H, Helfand, BT, Eeles, RA, Mikropoulos, C, Selkirk, CGH, Saya, S, Bancroft, E, Vertosick, E, Dadaev, T, Brendler, C, Page, E, Dias, A, Evans, DG, Rothwell, J, Maehle, L, Axcrona, K, Richardson, K, Eccles, D, Jensen, T, Osther, PJ, van Asperen, CJ, Vasen, H, Kiemeney, LA, Ringelberg, J, Cybulski, C, Wokolorczyk, D, Hart, R, Glover, W, Lam, J, Taylor, L, Salinas, M, Feliubadalo, L, Oldenburg, R, Cremers, R, Verhaegh, G, van Zelst-Stams, WA, Oosterwijk, JC, Cook, J, Rosario, DJ, Buys, SS, Conner, T, Domchek, S, Powers, J, Ausems, MGEM, Teixeira, MR, Maia, S, Izatt, L, Schmutzler, R, Rhiem, K, Foulkes, WD, Boshari, T, Davidson, R, Ruijs, M, Helderman-van den Enden, ATJM, Andrews, L, Walker, L, Snape, K, Henderson, A, Jobson, I, Lindeman, GJ, Liljegren, A, Harris, M, Adank, MA, Kirk, J, Taylor, A, Susman, R, Chen-Shtoyerman, R, Pachter, N, Spigelman, A, Side, L, Zgajnar, J, Mora, J, Brewer, C, Gadea, N, Brady, AF, Gallagher, D, van Os, T, Donaldson, A, Stefansdottir, V, Barwell, J, James, PA, Murphy, D, Friedman, E, Nicolai, N, Greenhalgh, L, Obeid, E, Murthy, V, Copakova, L, McGrath, J, Teo, S-H, Strom, S, Kast, K, Leongamornlert, DA, Chamberlain, A, Pope, J, Newlin, AC, Aaronson, N, Ardern-Jones, A, Bangma, C, Castro, E, Dearnaley, D, Eyfjord, J, Falconer, A, Foster, CS, Gronberg, H, Hamdy, FC, Johannsson, O, Khoo, V, Lubinski, J, Grindedal, EM, McKinley, J, Shackleton, K, Mitra, AV, Moynihan, C, Rennert, G, Suri, M, Tricker, K, Moss, S, Kote-Jarai, Z, Vickers, A, Lilja, H, Helfand, BT, and Eeles, RA

Abstract

This corrects the article DOI: 10.1038/bjc.2017.429.

Published
2018

87. Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines

Author

Pede, VO, Areal, FJ, Singbo, A, McKinley, J, Kajisa, K, Pede, VO, Areal, FJ, Singbo, A, McKinley, J, and Kajisa, K

Abstract

We investigated the role of spatial dependency in the technical efficiency estimates of rice farmers using panel data from the Central Visayan island of Bohol in the Philippines. Household‐level data were collected from irrigated and rainfed agro‐ecosystems. In each ecosystem, the geographical information on residential and farm‐plot neighborhood structures was recorded to compare household‐level spatial dependency among four types of neighborhoods. A Bayesian stochastic frontier approach that integrates spatial dependency was used to address the effects of neighborhood structures on farmers’ performance. Incorporating the spatial dimension into the neighborhood structures allowed for identification of the relationships between spatial dependency and technical efficiency through comparison with nonspatial models. The neighborhood structure at the residence and plot levels were defined with a spatial weight matrix where cut‐off distances ranged from 100 to 1,000 m. We found that spatial dependency exists at the residential and plot levels and is stronger for irrigated farms than rainfed farms. We also found that technical inefficiency levels decrease as spatial effects are more taken into account. Because the spatial effects increase with a shorter network distance, the decreasing technical inefficiency implies that the unobserved inefficiencies can be explained better by considering small networks of relatively close farmers over large networks of distant farmers.

Published
2018

88. Prostate-specific antigen velocity in a prospective prostate cancer screening study of men with genetic predisposition

Author

Mikropoulos, C, Selkirk, CGH, Saya, S, Bancroft, E, Vertosick, E, Dadaev, T, Brendler, C, Page, E, Dias, A, Evans, DG, Rothwell, J, Maehle, L, Axcrona, K, Richardson, K, Eccles, D, Jensen, T, Osther, PJ, van Asperen, CJ, Vasen, H, Kiemeney, LA, Ringelberg, J, Cybulski, C, Wokolorczyk, D, Hart, R, Glover, W, Lam, J (Jan), Taylor, L, Salinas, M, Feliubadalo, L, Oldenburg, Rogier, Cremers, R, Verhaegh, G, van Zelst-Stams, WA, Oosterwijk, JC, Cook, J, Rosario, DJ, Buys, SS, Conner, T, Domchek, S, Powers, J, Ausems, M, Teixeira, MR, Maia, S, Izatt, L, Schmutzler, R, Rhiem, K, Foulkes, WD, Boshari, T, Davidson, R, Ruijs, M, Helderman-van d Enden, A, Andrews, L, Walker, L, Snape, K, Henderson, A, Jobson, I, Lindeman, GJ, Liljegren, A, Harris, M, Adank, MA (Muriel), Kirk, J, Taylor, A, Susman, R, Chen-Shtoyerman, R, Pachter, N, Spigelman, A, Side, L, Zgajnar, J, Mora, J, Brewer, C, Gadea, N, Brady, AF, Gallagher, D, Van Os, T, Donaldson, A, Stefansdottir, V, Barwell, J, James, PA, Murphy, D, Friedman, E, Nicolai, N, Greenhalgh, L, Obeid, E, Murthy, V, Copakova, L, McGrath, J, Teo, SH, Strom, S, Kast, K, Leongamornlert, DA, Chamberlain, A, Pope, J, Newlin, AC, Aaronson, N, Ardern-Jones, A, Bangma, C.H., Castro, E, Dearnaley, D, Eyfjord, J, Falconer, A, Foster, CS (Christopher), Gronberg, H, Hamdy, FC, Johannsson, O, Khoo, V, Lubinski, J, Grindedal, EM, McKinley, J, Shackleton, K, Mitra, AV, Moynihan, C, Rennert, G, Suri, M, Tricker, K, Moss, S, Kote-Jarai, Z, Vickers, A, Lilja, H, Helfand, BT, Eeles, RA, Mikropoulos, C, Selkirk, CGH, Saya, S, Bancroft, E, Vertosick, E, Dadaev, T, Brendler, C, Page, E, Dias, A, Evans, DG, Rothwell, J, Maehle, L, Axcrona, K, Richardson, K, Eccles, D, Jensen, T, Osther, PJ, van Asperen, CJ, Vasen, H, Kiemeney, LA, Ringelberg, J, Cybulski, C, Wokolorczyk, D, Hart, R, Glover, W, Lam, J (Jan), Taylor, L, Salinas, M, Feliubadalo, L, Oldenburg, Rogier, Cremers, R, Verhaegh, G, van Zelst-Stams, WA, Oosterwijk, JC, Cook, J, Rosario, DJ, Buys, SS, Conner, T, Domchek, S, Powers, J, Ausems, M, Teixeira, MR, Maia, S, Izatt, L, Schmutzler, R, Rhiem, K, Foulkes, WD, Boshari, T, Davidson, R, Ruijs, M, Helderman-van d Enden, A, Andrews, L, Walker, L, Snape, K, Henderson, A, Jobson, I, Lindeman, GJ, Liljegren, A, Harris, M, Adank, MA (Muriel), Kirk, J, Taylor, A, Susman, R, Chen-Shtoyerman, R, Pachter, N, Spigelman, A, Side, L, Zgajnar, J, Mora, J, Brewer, C, Gadea, N, Brady, AF, Gallagher, D, Van Os, T, Donaldson, A, Stefansdottir, V, Barwell, J, James, PA, Murphy, D, Friedman, E, Nicolai, N, Greenhalgh, L, Obeid, E, Murthy, V, Copakova, L, McGrath, J, Teo, SH, Strom, S, Kast, K, Leongamornlert, DA, Chamberlain, A, Pope, J, Newlin, AC, Aaronson, N, Ardern-Jones, A, Bangma, C.H., Castro, E, Dearnaley, D, Eyfjord, J, Falconer, A, Foster, CS (Christopher), Gronberg, H, Hamdy, FC, Johannsson, O, Khoo, V, Lubinski, J, Grindedal, EM, McKinley, J, Shackleton, K, Mitra, AV, Moynihan, C, Rennert, G, Suri, M, Tricker, K, Moss, S, Kote-Jarai, Z, Vickers, A, Lilja, H, Helfand, BT, and Eeles, RA

Published
2018

89. Comparison of two-dimensional Heisenberg and two-dimensional XY model behaviors in Pd(1.2 atomic weight percent Fe) films

Author

McKinley, J. D.

Subjects
Thin films, Multilayered -- Research, Crystal lattices -- Analysis, Magnetic susceptibility -- Analysis, Physics
Abstract

The temperature dependence of the susceptibility and variation of magnetization with the applied field in the two-dimensional-Heisenberg (2DH) and -XY (2D XY) models of Pd/Pd(1.2 atomic weight percent Fe)/Pd films are in agreement. The 2DH model shows a kink between the high and slow temperature ranges, while the M versus H curve of the 2D XY model indicates a Kosterlitz-Thouless transition.

Published
1994

92. Determination of the absolute jet energy scale in the DØ calorimeters

Author

Abbott, B, Abolins, M, Acharya, B.S, Adam, I, Adams, D.L, Adams, M, Ahn, S, Aihara, H, Alves, G.A, Amos, N, Anderson, E.W, Astur, R, Baarmand, M.M, Babukhadia, L, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Banerjee, S, Bantly, J, Barberis, E, Bartlett, J.F, Belyaev, A, Beri, S.B, Bertram, I, Bezzubov, V.A, Bhat, P.C, Bhatnagar, V, Bhattacharjee, M, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, N.I, Borcherding, F, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, V.S, Butler, J.M, Carvalho, W, Casey, D, Casilum, Z, Castilla-Valdez, H, Chakraborty, D, Chang, S.-M, Chekulaev, S.V, Chen, L.-P, Chen, W, Choi, S, Chopra, S, Choudhary, B.C, Christenson, J.H, Chung, M, Claes, D, Clark, A.R, Cobau, W.G, Cochran, J, Coney, L, Cooper, W.E, Cretsinger, C, Cullen-Vidal, D, Cummings, M.A.C, Cutts, D, Dahl, O.I, Davis, K, De, K, Signore, K.Del, Demarteau, M, Denisov, D, Denisov, S.P, Diehl, H.T, Diesburg, M, Loreto, G.Di, Draper, P, Ducros, Y, Dudko, L.V, Dugad, S.R, Edmunds, D, Ellison, J, Elvira, V.D, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, O.V, Evdokimov, V.N, Fahland, T, Fatyga, M.K, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, H.E, Fisyak, Y, Flattum, E, Forden, G.E, Fortner, M, Frame, K.C, Fuess, S, Gallas, E, Galyaev, A.N, Gartung, P, Gavrilov, V, Geld, T.L, II, R.J.Genik, Genser, K, Gerber, C.E, Gershtein, Y, Gibbard, B, Glenn, S, Gobbi, B, Goldschmidt, A, Gómez, B, Gómez, G, Goncharov, P.I, GonzálezSolı́s, J.L, Gordon, H, Goss, L.T, Gounder, K, Goussiou, A, Graf, N, Grannis, P.D, Green, D.R, Greenlee, H, Grinstein, S, Grudberg, P, Grünendahl, S, Guglielmo, G, Guida, J.A, Guida, J.M, Gupta, A, Gurzhiev, S.N, Gutierrez, G, Gutierrez, P, Hadley, N.J, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, K.S, Hall, R.E, Hanlet, P, Hansen, S, Hauptman, J.M, Hedin, D, Heinson, A.P, Heintz, U, Hernández-Montoya, R, Heuring, T, Hirosky, R, Hobbs, J.D, Hoeneisen, B, Hoftun, J.S, Hsieh, F, Hu, Ting, Hu, Tong, Huehn, T, Ito, A.S, James, E, Jaques, J, Jerger, S.A, Jesik, R, Jiang, J.Z.-Y, Joffe-Minor, T, Johns, K, Johnson, M, Jonckheere, A, Jones, M, Jöstlein, H, Jun, S.Y, Jung, C.K, Kahn, S, Kalbfleisch, G, Kang, J.S, Karmanov, D, Karmgard, D, Kehoe, R, Kelly, M.L, Kim, C.L, Kim, S.K, Klima, B, Klopfenstein, C, Kohli, J.M, Koltick, D, Kostritskiy, A.V, Kotcher, J, Kotwal, A.V, Kourlas, J, Kozelov, A.V, Kozlovsky, E.A, Krane, J, Krishnaswamy, M.R, Krzywdzinski, S, Kuleshov, S, Kunori, S, Landry, F, Landsberg, G, Lauer, B, Leflat, A, Li, H, Li, J, Li-Demarteau, Q.Z, Lima, J.G.R, Lincoln, D, Linn, S.L, Linnemann, J, Lipton, R, Liu, Y.C, Lobkowicz, F, Loken, S.C, Lökös, S, Lueking, L, Lyon, A.L, Maciel, A.K.A, Madaras, R.J, Madden, R, Magaña-Mendoza, L, Manankov, V, Mani, S, Mao, H.S, Markeloff, R, Marshall, T, Martin, M.I, Mauritz, K.M, May, B, Mayorov, A.A, McCarthy, R, McDonald, J, McKibben, T, McKinley, J, McMahon, T, Melanson, H.L, Merkin, M, Merritt, K.W, Miettinen, H, Mincer, A, Mishra, C.S, Mokhov, N, Mondal, N.K, Montgomery, H.E, Mooney, P, da Motta, H, Murphy, C, Nang, F, Narain, M, Narasimham, V.S, Narayanan, A, Neal, H.A, Negret, J.P, Nemethy, P, Norman, D, Oesch, L, Oguri, V, Oliveira, E, Oltman, E, Oshima, N, Owen, D, Padley, P, Para, A, Park, Y.M, Partridge, R, Parua, N, Paterno, M, Pawlik, B, Perkins, J, Peters, M, Piegaia, R, Piekarz, H, Pischalnikov, Y, Pope, B.G, Prosper, H.B, Protopopescu, S, Qian, J, Quintas, P.Z, Raja, R, Rajagopalan, S, Ramirez, O, Rasmussen, L, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roco, M, Rubinov, P, Ruchti, R, Rutherfoord, J, Sánchez-Hernández, A, Santoro, A, Sawyer, L, Schamberger, R.D, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, H.C, Shivpuri, R.K, Shupe, M, Singh, H, Singh, J.B, Sirotenko, V, Smart, W, Smith, E, Smith, R.P, Snihur, R, Snow, G.R, Snow, J, Snyder, S, Solomon, J, Sosebee, M, Sotnikova, N, Souza, M, Spadafora, A.L, Steinbrück, G, Stephens, R.W, Stevenson, M.L, Stewart, D, Stichelbaut, F, Stoker, D, Stolin, V, Stoyanova, D.A, Strauss, M, Streets, K, Strovink, M, Sznajder, A, Tamburello, P, Tarazi, J, Tartaglia, M, Thomas, T.L.T, Thompson, J, Trippe, T.G, Tuts, P.M, Varelas, N, Varnes, E.W, Vititoe, D, Volkov, A.A, Vorobiev, A.P, Wahl, H.D, Wang, G, Warchol, J, Watts, G, Wayne, M, Weerts, H, White, A, White, J.T, Wightman, J.A, Willis, S, Wimpenny, S.J, Wirjawan, J.V.D, Womersley, J, Won, E, Wood, D.R, Xu, H, Yamada, R, Yamin, P, Yang, J, Yasuda, T, Yepes, P, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhou, Z, Zhu, Z.H, Zieminska, D, Zieminski, A, Zverev, E.G, and Zylberstejn, A

Published
1999
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96. Search for trilepton signatures from associated gaugino pair production

Author

Abbott, B., Abolins, M., Acharya, B. S., Adam, I., Adams, D. L., Adams, M., Ahn, S., Aihara, H., Alves, G. A., Amos, N., Anderson, E. W., Astur, R., Marc Baarmand, Baden, A., Balamurali, V., Balderston, J., Baldin, B., Banerjee, S., Bantly, J., Barberis, E., Bartlett, J. F., Bazizi, K., Belyaev, A., Beri, S. B., Bertram, I., Bezzubov, V. A., Bhat, P. C., Bhatnagar, V., Bhattachaņee, M., Biswas, N., Blazey, G., Blessing, S., Bloom, P., Boehnlein, A., Bojko, N. I., Borcherding, F., Boswell, C., Brandt, A., Brock, R., Bross, A., Buchholz, D., Burtovoi, V. S., Butler, J. M., Carvalho, W., Casey, D., Casilum, Z., Castilla-Valdez, H., Chakraborty, D., Chang, S. -M, Chekulaev, S. V., Chen, L. -P, Chen, W., Choi, S., Chopra, S., Choudhary, B. C., Christenson, J. H., Chung, M., Claes, D., Clark, A. R., Cobau, W. G., Cochran, J., Coney, L., Cooper, W. E., Cretsinger, C., Cullen-Vidal, D., Cummings, M. A. C., Cutts, D., Dahl, O. I., Davis, K., De, K., Del Signore, K., Demarteau, M., Denisov, D., Denisov, S. P., Diehl, H. T., Diesburg, M., Di Loreto, G., Draper, P., Ducros, Y., Dudko, L. V., Dugad, S. R., Edmunds, D., Ellison, J., Elvira, V. D., Engelmann, R., Eno, S., Eppley, G., Ermolov, P., Eroshin, O. V., Evdokimov, V. N., Fahland, T., Fatyga, M. K., Feher, S., Fein, D., Ferbel, T., Finocchiaro, G., Fisk, H. E., Fisyak, Y., Flattum, E., Forden, G. E., Fortner, M., Frame, K. C., Fuess, S., Gallas, E., Galyaev, A. N., Gartung, P., Geld, T. L., Genik, R. J., Genser, K., Gerber, C. E., Gibbard, B., Glenn, S., Gobbi, B., Goforth, M., Goldschmidt, A., Gómez, B., Gómez, G., Goncharov, P. I., González Solís, J. L., Gordon, H., Goss, L. T., Gounder, K., Goussiou, A., Graf, N., Grannis, P. D., Green, D. R., Greenlee, H., Grim, G., Grinstein, S., Grossman, N., Grudberg, P., Grünendahl, S., Guglielmo, G., Guida, J. A., Guida, J. M., Gupta, A., Gurzhiev, S. N., Gutierrez, P., Gutnikov, Y. E., Hadley, N. J., Haggerty, H., Hagopian, S., Hagopian, V., Hahn, K. S., Hall, R. E., Hanlet, P., Hansen, S., Hauptman, J. M., Hedin, D., Heinson, A. P., Heintz, U., Hernández-Montoya, R., Heuring, T., Hirosky, R., Hobbs, J. D., Hoeneisen, B., Hoftun, J. S., Hsieh, F., Ting, H., Tong, H., Huehn, T., Ito, A. S., James, E., Jaques, J., Jerger, S. A., Jesik, R., Jiang, J. Z. -Y, Joffe-Minor, T., Johns, K., Johnson, M., Jonckheere, A., Jones, M., Jöstlein, H., Jun, S. Y., Jung, C. K., Kahn, S., Kalbfleisch, G., Kang, J. S., Karmanov, D., Karmgard, D., Kehoe, R., Kelly, M. L., Kim, C. L., Kim, S. K., Klatchko, A., Klima, B., Klopfenstein, C., Klyukhin, V. I., Kochetkov, V. I., Kohli, J. M., Koltick, D., Kostritskiy, A. V., Kotcher, J., Kotwal, A. V., Kourlas, J., Kozelov, A. V., Kozlovski, E. A., Krane, J., Krishnaswamy, M. R., Krzywdzinski, S., Kunori, S., Lami, S., Lander, R., Landry, F., Landsberg, G., Lauer, B., Leflat, A., Li, H., Li, J., Li-Demarteau, Q. Z., Lima, J. G. R., Lincoln, D., Linn, S. L., Linnemann, J., Lipton, R., Liu, Y. C., Lobkowicz, F., Loken, S. C., Lökös, S., Lueking, L., Lyon, A. L., Maciel, A. K. A., Madaras, R. J., Madden, R., Magaña-Mendoza, L., Manankov, V., Mani, S., Mao, H. S., Markeloff, R., Marshall, T., Martin, M. I., Mauritz, K. M., May, B., Mayorov, A. A., Mccarthy, R., Mcdonald, J., Mckibben, T., Mckinley, J., Mcmahon, T., Melanson, H. L., Merkin, M., Merritt, K. W., Miettinen, H., Mincer, A., Mishra, C. S., Mokhov, N., Mondal, N. K., Montgomery, H. E., Mooney, P., Da Motta, H., Murphy, C., Nang, F., Narain, M., Narasimham, V. S., Narayanan, A., Neal, H. A., Negret, J. P., Nemethy, P., Norman, D., Oesch, L., Oguri, V., Oltman, E., Oshima, N., Owen, D., Padley, P., Para, A., Park, Y. M., Partridge, R., Parua, N., Paterno, M., Pawlik, B., Perkins, J., Peters, M., Piegaia, R., Piekarz, H., Pischalnikov, Y., Podstavkov, V. M., Pope, B. G., Prosper, H. B., Protopopescu, S., Qian, J., Quintas, P. Z., Raja, R., Rajagopalan, S., Ramirez, O., Rasmussen, L., Reucroft, S., Rijssenbeek, M., Rockwell, T., Roe, N. A., Rubinov, P., Ruchti, R., Rutherfoord, J., Sánchez-Hernández, A., Santoro, A., Sawyer, L., Schamberger, R. D., Schellman, H., Sculli, J., Shabalina, E., Shaffer, C., Shankar, H. C., Shivpuri, R. K., Shupe, M., Singh, H., Singh, J. B., Sirotenko, V., Smart, W., Smith, E., Smith, R. P., Snihur, R., Snow, G. R., Snow, J., Snyder, S., Solomon, J., Sood, P. M., Sosebee, M., Sotnikova, N., Souza, M., Spadafora, A. L., Steinbrueck, G., Stephens, R. W., Stevenson, M. L., Stewart, D., Stichelbaut, F., Stoianova, D. A., Stoker, D., Strauss, M., Streets, K., Strovink, M., Sznajder, A., Tamburello, P., Tarazi, J., Tartaglia, M., Thomas, T. L. T., Thompson, J., Trippe, T. G., Tuts, P. M., Varelas, N., Varnes, E. W., Vititoe, D., Volkov, A. A., Vorobiev, A. P., Wahl, H. D., Wang, G., Warchol, J., Watts, G., Wayne, M., Weerts, H., White, A., White, J. T., Wightman, J. A., Willis, S., Wimpenny, S. J., Wirjawan, J. V. D., Womersley, J., Won, E., Wood, D. R., Xu, H., Yamada, R., Yamin, P., Yang, J., Yasuda, T., Yepes, P., Yoshikawa, C., Youssef, S., Yu, J., Yu, Y., Zhu, Z. H., Zieminska, D., Zieminski, A., Zverev, E. G., and Zylberstejn, A.

Subjects
Physics, Particle physics, Pair production, Branching fraction, R-parity, Product (mathematics), High Energy Physics::Phenomenology, Gaugino, General Physics and Astronomy, High Energy Physics::Experiment, Production (computer science), Context (language use), Supersymmetry
Abstract

We report on a search for the trilepton decay signature from the associated production of supersymmetric gaugino pairs, {tilde {chi}}{sup {plus_minus}}{sub 1}{tilde {chi}}{sub 2}{sup 0}, within the context of minimal supersymmetric models that conserve R parity. This search uses 95 pb{sup {minus}1} of p{bar p} data taken at {radical}(s)=1.8 TeV with the D0 detector. No evidence of a trilepton signature has been found, and a limit on the product of cross section times branching fraction to trileptons is given as a function of {tilde {chi}}{sup {plus_minus}}{sub 1} mass. {copyright} {ital 1998} {ital The American Physical Society}

Published
2016

100. Exploring the joint compositional variability of major components and trace elements in the TELLUS soil geochemistry campaign (Northern Ireland)

Author

Tolosana-Delgado, R. and Mckinley, J.

Abstract

Geochemical datasets are growing in both their number of samples and components, including elements which typical values cover the ranges of magnitude from % to ppm or even ppb. Moreover, the sources of variability increase as well. It is becoming thus increasingly necessary to have appropriate tools to explore this geochemical variability. An example of such framework is provided by any modern regional geochemistry campaign, typically having thousands of samples analysed for several tens of elements covering diverse geological units in non-homogeneous climate-landscape environments. Using the TELLUS soil geochemical survey of Northern Ireland, this paper primarily aims to present one such exploratory case study. The typical tools to use in this context are all based on principal component analysis (PCA) and variants. Several different alternatives are considered: raw data, standardized data and log-ratio transformed data; classical PCA vs robust PCA; only major components vs. a mixture of major and trace elements. Using the 12 resulting analyses, insights into the nature of the dominant factors of geochemical variability are extracted, and the advantages of a log-ratio approach highlighted. From a methodological point of view, we show: (i) that raw data should seldom be considered; (ii) standardised data do not show any difference relevant between robust and classical PCA; and (iii) that standardised data and log-ratio data deliver a roughly similar picture, but (iv) logratio data offer much more insights, especially when comparing robust and classical PCA using all variables available. From the perspective of the case study presented, we conclude that the first two sources of soil geochemical variation are related to the background geology and the presence/absence of blanket peat (a major feature of the landscape of Northern Ireland). Which of the two factors is the dominant one depends on whether robust or classical PCA was used. Besides this (rather expected) result, the analysis showed in addition striking positive correlations between the logratios Se/LOI, MnO/CaO and I/Br; between Br/Ni, Cl/Cr, Sb/TiO2 and Cd/MnO; or between Cs/I, Rb/Zn and Cr/Ni. Also null correlations are detected between the ratios of the second and third groups. Taking into account information on the major lithologies present in Northern Ireland, the third group of ratios appears to describe lithological changes, while the second group of ratios is strongly related. to peat building processes, which not only enrich in LOI (as expected) but in Br, Cl, Cd and Sb as well.

Published
2016

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