lawn298 [pdf]
by Zlatko Drmac
Oct 2022
lawn297 [pdf]
by Demmel, J., J. Dongarra, J. Langou, J. Langou, P. Luszczek, and M. Mahoney
ICL-UT-20-07 Jul 2020
lawn296 [pdf]
by Zvonimir Bujanovic and Zlatko Drmac
ICL-UT-19-14 Oct 2019
lawn295 [pdf]
by Marques, Osni, James Demmel, and Paulo B. Vasconcelos
ICL-UT-18-02 Avr 2018
lawn294 [pdf]
by Ichitaro Yamazaki and Jack Dongarra
ICL-UT-17-13 Dec 2017
lawn293 [pdf]
by Maksims Abalenkovs, Negin Bagherpour, Jack Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Samuel Relton, Jakub Sistek, David Stevens, Panruo Wu, Ichitaro Yamazaki, Asim YarKhan, and Mawussi Zounon
UT-EECS-17-751 June 2017
lawn292 [pdf]
by Maksims Abalenkovs, Negin Bagherpour, Jack Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Samuel Relton, Jakub Sistek, David Stevens, Panruo Wu, Ichitaro Yamazaki, Asim YarKhan, and Mawussi Zounon
UT-EECS-17-750 June 2017
lawn291 [pdf]
by Hartwig Anzt, Jack Dongarra and Edmond Chow
UT-EECS-16-746 November 2016
lawn290 [pdf]
by Jack Dongarra, Jim Demmel, Julien Langou and Julie Langou
UT-EECS-16-744 September 2016
lawn289 [pdf]
by Jack Dongarra, Thomas Herault and Yves Robert
UT-EECS-15-734 May 2015
lawn288 [pdf]
by Jack Dongarra, Jakub Kurzak, Piotr Luszczek, and Ichitaro Yamazaki
UT-EECS-14-733 December 2014
lawn287 [pdf]
by Anne Benoit, Saurabh K. Raina and Yves Robert
UT-EECS-14-729 May 2014
lawn286 [pdf]
by Mark Gates, Azzam Haidar, and Jack Dongarra
UT-EECS-14-724 March 2014
lawn285 [pdf]
by Marc Baboulin, Xiaoye S. Li, and François-Henry Rouet
Inria Research Report RR-8481 (Feb. 2014)
lawn284 [pdf]
by Martin Köhler, and Jens Saak
lawn283 [pdf]
by Azzam Haidar, Piotr Luszczek, Jakub Kurzak, and Jack Dongarra
UT-EECS-13-720 October 2013
lawn282 [pdf]
by Mathieu Faverge, Julien Herrmann, Julien Langou, Bradley Lowery, Yves Robert and Jack Dongarra
UT-EECS-13-719 October 2013
lawn281 [pdf]
by Guillaume Aupy, Anne Benoit, Thomas Herault, Yves Robert and Jack Dongarra
UT-EECS-13-718 October 2013
lawn280 [pdf]
by Simplice Donfack, Jack Dongarra, Mathieu Faverge, Mark Gates, Jakub Kurzak, Piotr Luszczek, and Ichitaro Yamazaki
UT-CS-13-715 July 2013
lawn279 [pdf]
by Yulu Jia, Piotr Luszczek, and Jack Dongarra
UT-CS-13-712 June 2013
lawn278 [pdf]
by Guillaume Aupy, Anne Benoit, Thomas Hérault, Yves Robert, Frédéric Vivien and Dounia Zaidouni
UT-CS-13-710 June 2013
lawn277 [pdf]
by Guillaume Aupy, Mathieu Faverge, Yves Robert, Jakub Kurzak, Piotr Luszczek, and Jack Dongarra
UT-CS-13-709 May 2013
lawn276 [pdf]
by James W. Demmel, Laura Grigori, Ming Gu, and Hua Xiang
UCB/EECS-2013-46 May 2013
lawn275 [pdf]
by Chongxiao Cao, Jack Dongarra, Peng Du, Mark Gates, Piotr Luszczek, and Stanimire Tomov
UT-CS-13-706 Mar 2013
lawn274 [pdf]
by Jack Dongarra, Thomas Herault and Yves Robert
UT-CS-13-705 Dec 2012
lawn273 [pdf]
by Marc Baboulin, Serge Gratton, Remi Lacroix and Alan Laub
Inria Research Report 8065 Sep 2012
lawn272 [pdf]
by Peng Du, Stanimire Tomov, and Jack Dongarra
UT-CS-12-699 Sep 2012
lawn271 [pdf]
by Lars Karlsson, and Daniel Kressner
lawn270 [pdf]
by Julie Langou, Bill Hoffman, and Brad King
UT-CS-12-698 Jul 2, 2012
lawn269 [pdf]
by George Bosilca, Aurélien Bouteiller, Elisabeth Brunet, Franck Cappello, Jack Dongarra, Amina Guermouche, Thomas Hérault, Yves Robert, Frédéric Vivien, and Dounia Zaidouni
UT-CS-12-697 Jun 4, 2012
lawn268 [pdf]
by Henri Casanova, Yves Robert, Frédéric Vivien, and Dounia Zaidouni
UT-CS-12-696 Jun 4, 2012
lawn267 [pdf]
by Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, and Jack Dongarra
lawn266 [pdf]
by Jakub Kurzak, Piotr Luszczek, Mathieu Faverge, and Jack Dongarra
lawn265 [pdf]
by Marin Bougeret, Henri Casanova, Yves Robert, Frédéric Vivien and Dounia Zaidouni
INRIA Research report RR-7876, February 2012
lawn264 [pdf]
by George Bosilca, Aurelien Bouteiller, Anthony Danalis, Thomas Herault, Piotr Luszczek, and Jack J. Dongarra
lawn263 [pdf]
by Amal Khabou, James W. Demmel, Laura Grigori, and Ming Gu
UCB/EECS-20112-XX, Janary 24, 2012.
lawn262 [pdf]
by Marin Bougeret, Henri Casanova, Yves Robert, Frédéric Vivien and Dounia Zaidouni
UT-CS-11-691 Dec 10, 2011
lawn261 [pdf]
by Marc Baboulin, Dulceneia Becker, and Jack Dongarra
ICL-UT-11-07, INRIA RR-7762 Dec 14, 2011
lawn260 [pdf]
by Hartwig Anzt, Piotr Luszczek, Jack Dongarra, and Vincent Heuveline
UT-CS-11-690, Dec 14, 2011
lawn259 [pdf]
by Jack Dongarra, Mathieu Faverge, Hatem Ltaief and Piotr Luszczek
UT-CS-11-688, Dec 9, 2011
lawn258 [pdf]
by Hartwig Anzt, Stanimire Tomov, Jack Dongarra and Vincent Heuveline
UT-CS-11-687, Dec 1, 2011
lawn257 [pdf]
by Jack Dongarra, Mathieu Faverge, Thomas Herault, Julien Langou and Yves Robert
UT-CS-11-684, Oct 4, 2011
lawn256 [pdf]
by Peng Du, Piotr Luszczek and Jack Dongarra
UT-CS-11-683, Oct 4, 2011
lawn255 [pdf]
by Edgar Solomonik Abhinav Bhatele and James Demmel
UCB/EECS-2011-92, Aug 15, 2011
lawn254 [pdf]
by Azzam Haidar, Hatem Ltaief and Jack Dongarra
UT-CS-11-677, Aug 5, 2011
lawn253 [pdf]
by Peng Du, Aurelien Bouteiller, George Bosilca, Thomas Herault and Jack Dongarra
UT-CS-11-676, Aug 5, 2011
lawn252 [pdf]
by Peng Du, Piotr Luszczek, Stanimire Tomov, and Jack Dongarra
UT-CS-11-675, July 1, 2011
lawn251 [pdf]
by Hatem Ltaief, Piotr Luszczek, and Jack Dongarra
UT-CS-11-674, June 21, 2011
lawn250 [pdf]
by Fengguang Song, Stanimire Tomov, and Jack Dongarra
UT-CS-11-668, June 16, 2011
lawn249 [pdf]
by Fred G. Gustavson, Jerzy Wásniewski, Jack J. Dongarra, José R. Herrero and Julien Langou
DTU/IMM-Technical-Report-2011-11.
lawn248 [pdf]
by Edgar Solomonik and James Demmel
UCB/EECS-2011-72, Jun 7, 2011
lawn247 [pdf]
by Hatem Ltaief, Piotr Luszczek, and Jack Dongarra
UT-CS-11-673, May 18, 2011
lawn246 [pdf]
by Marc Baboulin, Jack Dongarra, Julien Herrmann, and Stanimire Tomov
INRIA RR-7616, May 15 2011
lawn245 [pdf]
by Jakub Kurzak, Stanimire Tomov, and Jack Dongarra
UT-CS-11-671, Apr 18, 2011
lawn244 [pdf]
by Piotr Luszczek, Hatem Ltaief, and Jack Dongarra
UT-CS-11-670, Apr 18, 2011
lawn243 [pdf]
by Azzam Haidar, Hatem Ltaief, Asim YarKhan and Jack Dongarra
UT-CS-11-666, Mar 10, 2011
lawn242 [pdf]
by Emmanuel Agullo, Jack Dongarra, Rajib Nath and Stanimire Tomov
INRIA-7526, Mar 9, 2011
lawn241 [pdf]
by Fengguang Song, Hatem Ltaief, Bilel Hadri and Jack Dongarra
UT-CS-10-653, Mar 4, 2011
lawn240 [pdf]
by Michael Anderson, Grey Ballard, James Demmel and Kurt Keutzer
update of UCB/EECS-2010-131, Feb 18, 2011
lawn239 [pdf]
by Grey Ballard, James Demmel, and Andrew Gearhart
UCB/EECS-2011-13, Feb 11, 2011
lawn238 [pdf]
by Edgar Solomonik and James Demmel
UCB/EECS-2011-10, Feb 9, 2011
lawn237 [pdf]
by Grey Ballard, James Demmel, and Ioana Dumitriu
UCB/EECS-2010-136, Nov 13, 2010
lawn236 [pdf]
by Marc Baboulin and Serge Gratton INRIA, Nov 5, 2010.
lawn235 [pdf]
by Jack Dongarra and Piotr Luszczek
UT-CS-10-661, Oct 8, 2010.
lawn233 [pdf]
by Agullo, E., Augonnet, C., Dongarra, J., Faverge, M., Ltaief, H., Thibault, S. and Tomov, S.
UT-CS-10-XXX, Oct, 2010.
lawn232 [pdf]
by Bosilca, G., Bouteiller, A., Danalis, A, Faverge, M., Haidar, H., Herault, T., Kurzak, J., Langou, J., Lemarinier, P., Ltaief, H., Luszczek, P., YarKhan, A., Dongarra, J
UT-CS-10-660, Sep 15, 2010.
lawn231 [pdf]
by Bosilca, G., Bouteiller, A., Danalis, A., Herault, T., Lemarinier, P., Dongarra, J
UT-CS-10-659, Sep 15, 2010.
lawn230 [pdf]
by Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Hatem Ltaief, Raymond Namyst, Samuel Thibault, and Stanimire Tomov
UT-CS-10-658, Sep 15, 2010.
lawn229 [pdf]
by Jakub Kurzak, Rajib Nath, Peng Du, and Jack Dongarra
UT-CS-10-657, Sep 15, 2010.
lawn228 [pdf]
by Peng Du, Rick Weber, Piotr Luszczek, Stanimire Tomov, Gregory Peterson and Jack Dongarra
UT-CS-10-656, Sep 6, 2010.
lawn227 [pdf]
by Rajib Nath, Stanimire Tomov, and Jack Dongarra
UT-CS-10-655, July 29, 2010.
lawn226 [pdf]
by Laura Grigori, James W Demmel, and Hua Xiang
UCB/EECS-2010-29, March 15, 2010.
lawn225 [pdf]
by Stanimire Tomov, Rajib Nath, Hatem Ltaief, and Jack Dongarra
UT-CS-09-649, February 18, 2010.
lawn224 [pdf]
by Emmanuel Agullo, Camille Coti, Jack Dongarra, Thomas Herault, and Julien Langou
UT-CS-10-651, January 6, 2010.
lawn223 [pdf]
by Hatem Ltaief, Stanimire Tomov, Rajib Nath, Peng Du, and Jack Dongarra
UT-CS-09-646, November 25, 2009.
lawn222 [pdf]
by Bilel Hadri, Hatem Ltaief, Emmanuel Agullo, and Jack Dongarra
UT-CS-09-645, September 4, 2009.
lawn221 [pdf]
by Fengguang Song, Asim YarKhan and Jack Dongarra
UT-CS-09-638, April 13, 2009.
lawn220 [pdf]
by Jakub Kurzak and Jack Dongarra
UT-CS-09-643, June 4, 2009.
lawn219 [pdf]
by Stanimire Tomov and Jack Dongarra
UT-CS-09-642, May 24, 2009.
lawn218 [pdf]
by Grey Ballard, James Demmel, Olga Holtz, and Oded Schwartz UCB/EECS-2009-62, May 15, 2009.
lawn217 [pdf]
by Emmanuel Agullo, Bilel Hadri, Hatem Ltaief and Jack Dongarra
UT-CS-09-640, April 28, 2009.
lawn216 [pdf]
by Robert Granat Bo Kagstrom and Daniel Kressner
UMINF-09.06, April 6, 2009.
lawn215 [pdf]
by Grey Ballard, James Demmel, Olga Holtz, and Oded Schwartz
UCB/EECS-2009-29, February 13, 2009.
lawn214 [pdf]
by Hatem Ltaief, Jakub Kurzak and Jack Dongarra
UT-CS-09-637, February 11, 2009.
lawn213 [pdf]
by Jakub Kurzak, Hatem Ltaief, Jack Dongarra, and Rosa M. Badia
UT-CS-09-636, February 5, 2009.
lawn212 [pdf]
by Yinan Li, Jack Dongarra, and Stanimire Tomov
UT-CS-09-635, January 12, 2009.
lawn211 [pdf]
by Fred G. Gustavson, Jerzy Wasniewski, and Jack Dongarra
UT-CS-08-634, December 1, 2008.
lawn210 [pdf]
by Stanimire Tomov, Jack Dongarra, and Marc Baboulin
UT-CS-08-632, October 17, 2008.
lawn209 [pdf]
by Hatem Ltaief, Jakub Kurzak, and Jack Dongarra
UT-CS-08-631, October 1, 2008.
lawn208 [pdf]
by Hatem Ltaief, Jakub Kurzak, and Jack Dongarra
UT-CS-08-624, August 7, 2008.
lawn207 [pdf]
by Marc Baboulin and Serge Gratton
UT-CS-08-622, August 4, 2008.
lawn206 [pdf]
by Jack Dongarra, and Julien Langou
UCD-CCM-271, June 28, 2008.
lawn205 [pdf]
by George Bosilca, Remi Delmas, Jack Dongarra, and Julien Langou
UT-CS-08-620, June 19, 2008.
lawn204 [pdf]
by James W. Demmel, Laura Grigori, Mark Frederick Hoemmen and Julien Langou
UCB/EECS-2008-89, August 4, 2008.
lawn203 [pdf]
by James W. Demmel, Mark Hoemmen, Yozo Hida, and E. Jason Riedy
UCB/EECS-2008-76, May 30, 2008.
lawn202 [pdf]
by Vasily Volkov and James W. Demmel
UCB/EECS-2008-49, May 15, 2008.
lawn201 [pdf]
by Jakub Kurzak and Jack Dongarra
UT-CS-08-616, May 22, 2008.
lawn200 [pdf]
by Marc Baboulin, Jack J. Dongarra and Stanimire Tomov
UT-CS-08-615, May 6, 2008.
lawn199 [pdf]
by Fred G. Gustavson, Jerzy Wasniewski, Julien Langou and Jack J. Dongarra
UT-CS-08-614, April 28, 2008.
lawn198 [pdf]
by Bo K√•gstr√∂m, Daniel Kressner, Enrique S. Quintana-Ort√≠, and Gregorio Quintana-Ort√≠
February 2008.
lawn197 [pdf]
by Vasily Volkov and James W. Demmel
UCB/EECS-2007-179, January 2008.
lawn196 [pdf]
by Zlatko Drmaƒç
December 2007.
lawn195 [pdf]
by Christof V√∂mel
November 2007.
lawn194 [pdf]
by Christof V√∂mel
November 2007.
lawn193 [pdf]
by Marc Baboulin, Jack Dongarra, Serge Gratton, and Julien Langou
UT-cs-07-604, September 2007.
lawn192 [pdf]
by R. Granat, B. K√•gstr√∂m, D. Kressner
September 2007.
lawn191 [pdf]
by Alfredo Buttari, Julien Langou, Jakub Kurzak, and Jack Dongarra
UT-CS-07-600, September 7, 2007.
lawn190 [pdf]
by Alfredo Buttari, Julien Langou, Jakub Kurzak, and Jack Dongarra .Parallel Tiled QR Factorization for Multicore Architectures.
UT-CS-07-598, July 2007.
lawn189 [pdf]
by Wesley Alvaro, Jakub Kurzak, and Jack Dongarra
UT-CS-08-609, January 2008.
lawn188 [pdf]
by James Demmel, Yozo Hida, Xiaoye S. Li, and E. Jason Riedy
May 2007
lawn187 [pdf]
by Ralph Byers
May 2007
lawn186 [pdf]
by James Demmel, Ioana Dumitriu, and Olga Holtz
May 2007
lawn185 [pdf]
by Alfredo Buttari, Jack Dongarra, and Jakub Kurzak
UT-CS-07-597, May 2007
lawn184 [pdf]
by Jakub Kurzak, Alfredo Buttari, and Jack Dongarra
UT-CS-07-596, May 2007
lawn183 [pdf]
by James W. Demmel, Osni A. Marques, Beresford N. Parlett, and Christof V√∂mel
April 2007
lawn182 [pdf]
by James W. Demmel, Osni A. Marques, Beresford N. Parlett, and Christof V√∂mel
April 2007
lawn181 [pdf]
by James Demmel, Jack Dongarra, Beresford Parlett, William Kahan, Ming Gu, David Bindel Yozo Hida, Xiaoye Li, Osni Marques, E. Jason Riedy, Christof V√∂mel, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari, Julie Langou, and Stanimire Tomov
UT-CS-07-592, February 2007
lawn180 [pdf]
by Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Piotr Luszczek, and Stanimire Tomov
UT-CS-06-584, November 2006.
lawn179 [pdf]
by Marc Baboulin, Luc Giraud, Serge Gratton, and Julien Langou
UT-CS-06-582, September 2006.
lawn178 [pdf]
by Jakub Kurzak and Jack Dongarra
UT-CS-06-581, September 2006.
lawn177 [pdf]
by Jakub Kurzak and Jack Dongarra
UT-CS-06-580, September 2006.
lawn176 [pdf]
by Zlatko Drmac and Zvonimir Bujanovic
June 2006.
lawn175 [pdf]
by Julie Langou, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari and Jack Dongarra
June 2006.
lawn174 [pdf]
by G. W. Howell, J. W. Demmel, C. T. Fulton, S. Hammarling, and K. Marmol
February 2006.
lawn173 [pdf]
by Bo K√•gstr√∂m and Daniel Kressner
February 2006.
lawn172 [pdf]
by Osni A. Marques, E. Jason Riedy, and Christof V√∂mel
Technical Report UCB/CSD-05-1414, September 2005.
lawn171 [pdf]
by Daniel Kressner
September 2005. Updated February 2006.
lawn170 [pdf]
by Zlatko Drmac and Kresimir Veselic
August 2005.
lawn169 [pdf]
by Zlatko Drmac and Kresimir Veselic
August 2005.
lawn168 [pdf]
-
PDSYEVR. ScaLAPACK‚Äôs parallel MRRR algorithm for the symmetric eigenvalue problem
by Dominic Antonelli and Christof V√∂mel
Technical Report UCB/CSD-05-1399, August 2005.
lawn167 [pdf]
by Osni A. Marques, Beresford N. Parlett, and Christof V√∂mel
Technical Report UCB/CSD-05-1392, August 2005.
lawn166 [pdf]
by Paul R. Willems, Bruno Lang, and Christof V√∂mel
UT-CS-05-551, April 2005.
lawn165 [pdf]
by James Demmel, Yozo Hida, W. Kahan, Xiaoye S. Li, Soni Mukherjee, and E. Jason Riedy
UT-CS-05-547, February 2005.
lawn164 [pdf]
by Jim Demmel and Jack Dongarra
UT-CS-05-546, February 2005.
lawn163 [pdf]
by Beresford N. Parlett and Christof V√∂mel
UT-CS-04-542, December, 2004.
lawn162 [pdf]
by Inderjit S. Dhillon, Beresford N. Parlett, and Christof V√∂mel
UT-CS-04-541, December, 2004.
lawn161 [pdf]
by Craig Lucas
UT-CS-04-522, February 2004
lawn160 [pdf]
by Zizhong Chen, Jack Dongarra, Piotr Luszczek, and Kenneth Roche
UT-CS-03-499, January 2003
lawn159 [pdf]
by Jack Dongarra and Victor Eijkhout
UT-CS-03-502, January 2003
lawn158 [pdf]
by Edward Anderson
UT-CS-02-497, December 2002
lawn157 [pdf]
by Jack Dongarra and Victor Eijkhout
UT-CS-02-484, August 2002
lawn156 [pdf]
by Victor Eijkhout
UT-CS-02-477, August 2002
lawn155 [pdf]
by Beresford N. Parlett and Osni A. Marques
UT-CS-02-475, August 2002
lawn154 [pdf]
by Inderjit S. Dhillon and Beresford N. Parlett
UT-CS-02-474, August 2002
lawn153 [pdf]
by M. Fahey
UT-CS-01-471, August 2001.
lawn152 [pdf]
by S. Cheng and N. Higham
UT-CS-01-470, August 2001.
lawn151 [pdf]
by V. Eijkhout
UT-CS-01-458, April 2001.
lawn150 [pdf]
by E. Anderson
UT-CS-00-454, December 2000.
lawn149 [pdf]
by X. Li, J. Demmel, D. Bailey, G. Henry, Y. Hida, J. Iskandar, W. Kahan, A. Kapur, M. Martin, T. Tung, D. J. Yoo
UT-CS-00-451, October 2000.
lawn148 [pdf]
by D. Bindel, J. Demmel, W. Kahan, O. Marques
UT-CS-00-449, October 2000.
lawn147 [pdf]
by R. C. Whaley, A. Petitet, J. Dongarra
UT-CS-00-448, September 2000.
lawn146 [pdf]
by B. Andersen, F. Gustavson and J. Wasniewski
UT-CS-00-441, May 2000.
lawn145 [pdf]
by V. Eijkhout
UT-CS-99-436, Dec 1999.
lawn144 [pdf]
by V. Eijkhout
UT-CS-99-435, Dec 1999.
lawn143 [pdf]
by P. Arbenz, A. Cleary, J. Dongarra, and M. Hegland
UT-CS-99-415, May 1999.
lawn142 [pdf]
by P. Arbenz, A. Cleary, J. Dongarra, and M. Hegland
UT-CS-99-414, Feb 1999.
lawn141 [pdf]
by Victor Eijkhout
UT-CS-98-411, Dec 1998.
lawn140 [pdf]
by H. Casanova, J. Dongarra
UT-CS-98-406, Nov 1998.
lawn139 [pdf]
by A. Petitet, H. Casanova, J. Dongarra, Y. Robert & R.C. Whaley
UT-CS-98-405, Oct 1998.
lawn138 [pdf]
by J. Dongarra, W. Owczarz, J. Wasniewski, P. Yalamov
UT-CS-98-401, Sept 1998.
lawn137 [pdf]
by L. S. Blackford, J. J. Dongarra, C. A. Papadopoulos and R. C. Whaley
UT-CS-98-396, August 1998.
lawn136 [pdf]
by L. S. Blackford and R. C. Whaley
UT-CS-98-388, April 1998.
lawn135 [pdf]
by E. D’Azevedo and J. Dongarra
UT-CS-98-385, April 1998.
lawn134 [pdf]
by J. Wasniewski and J. Dongarra
UT-CS-98-384, April 1998.
lawn133 [pdf]
by A. Petitet and J. Dongarra
UT-CS-98-383, March 1998.
lawn132 [pdf]
by F. Tisseur and J. Dongarra
UT-CS-98-382, March 1998.
lawn131 [pdf]
by R. Whaley and J. Dongarra
UT-CS-97-366, December 1997.
lawn130 [pdf]
by J. Demmel
UT-CS-97-375, October 1997.
lawn129 [pdf]
by J. Choi
UT-CS-97-369, September 1997.
lawn128 [pdf]
by A. Petitet
UT-CS-97-371, July 1997.
lawn127 [pdf]
by X. Li
UT-CS-97-368, June 1997.
lawn126 [pdf]
by E. Anderson and M. Fahey
UT-CS-97-359, April 1997.
lawn125 [pdf]
by A. Cleary and J. Dongarra
UT-CS-97-358, April 1997.
lawn124 [pdf]
by J. Demmel, J. Gilbert, and X. Li
UT-CS-97-357, April 1997.
lawn123 [pdf]
by Z. Bai, D. Day, J. Demmel and J. Dongarra
UT-CS-97-355, March 1997.
lawn122 [pdf]
by M. Ahues and F. Tisseur
UT-CS-97-353, March 1997.
lawn121 [pdf]
by G. Henry, D. Watkins, and J. Dongarra
UT-CS-97-352, March 1997.
lawn120 [pdf]
by F. Desprez, J. Dongarra, A. Petitet, C. Randriamaro and Y. Robert
UT-CS-97-349, February 1997.
lawn119 [pdf]
by J. Demmel, M. Gu, S. Eisenstat, I. Slapnicar, K. Veselic and Z. Drmac
UT-CS-97-348, February 1997.
lawn118 [pdf]
by J. J. Dongarra and E. F. D’Azevedo
UT-CS-97-347, January 1997.
lawn117 [pdf]
by L. Susan Blackford, Jack J. Dongarra, Jeremy Du Croz, Sven Hammarling, Jerzy Wasniewski
UT-CS-96-341, December 1996.
lawn116 [pdf]
by M. Sidani and B. Harrod
UT-CS-96-340, November 1996.
lawn115 [pdf]
by H. Ren
UT-CS-96-336, September 1996.
lawn114 [pdf]
by G. Quintana-Orti, X. Sun, and C. Bischof
UT-CS-96-334, August 1996.
lawn113 [pdf]
by G. Quintana-Orti, E. S. Quintana-Orti, and A. Petitet
UT-CS-96-333, July 1996.
lawn112 [pdf]
by L. S. Blackford, A. Cleary, J. Demmel, I. Dhillon, J. Dongarra, S. Hammarling, A. Petitet, H. Ren, K. Stanley, and R. C. Whaley
UT-CS-96-330, July 1996.
lawn111 [pdf]
by J. Bilmes, K. Asanovic, J. Demmel, D. Lam, and C.-W. Chin
UT-CS-96-326, May 1996.
lawn110 [pdf]
by J. J. Dongarra, S. Hammarling, and D. W. Walker
UT-CS-96-324, April 1996.
lawn109 [pdf]
by J. Dongarra, S. Hammarling, and S. Ostrouchov
UT-CS-95-317, November 1995.
lawn108 [pdf]
by B. Kagstrom, P. Ling, and C. Van Loan
UT-CS-95-316, November 1995.
lawn107 [pdf]
by B. Kagstrom, P. Ling, and C. Van Loan
UT-CS-95-315, November 1995.
lawn106 [pdf]
by Z. Bai, D. Day, J. Demmel, J. Dongarra, M. Gu, A. Ruhe, and H. van der Vorst
UT-CS-95-311, October 1995.
lawn105 [pdf]
by N. J. Higham
UT-CS-95-309, October 1995.
lawn104 [pdf]
by N. J. Higham
UT-CS-95-308, October 1995.
lawn103 [pdf]
by J. W. Demmel, S. C. Eisenstat, J. R. Gilbert, X. S. Li, and J. W. H. Liu
UT-CS-95-304, September 1995.
lawn102 [pdf]
by J. Dongarra, A. Lumsdaine, R. Pozo, and K. Remington
UT-CS-95-303, August 1995.
lawn101 [pdf]
by J. J. Dongarra, J. Du Croz, S. Hammarling, J. Wasniewski, and A. Zemla
UT-CS-95-295, July 1995.
lawn100 [pdf]
by J. Choi, J. Dongarra, S. Ostrouchov, A. Petitet, D. Walker and R. C. Whaley
UT-CS-95-292, May 1995.
lawn99 [pdf]
by J. Dongarra, V. Eijkhout, and A. Kalhan
UT-CS-95-291, May 1995.
lawn98 [pdf]
by J. Dongarra, R. Pozo, and D. Walker
UT-CS-95-290, May 1995.
lawn97 [pdf]
by S. Chakrabarti, J. Demmel, and D. Yelick
UT-CS-95-289, May 1995.
lawn96 [pdf]
by R. A. van de Geijn and J. Watts
UT-CS-95-286, April 1995.
lawn95 [pdf]
by J. Choi, J. Demmel, I. Dhillon, J. Dongarra, S. Ostrouchov, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley
UT-CS-95-283, March 1995.
lawn94 [pdf]
by J. Dongarra and R. C. Whaley UPDATED: May 5, 1997 (VERSION 1.1).
UT-CS-95-281, March 1995.
lawn93 [pdf]
by J. Choi, J. Demmel, I. Dhillon, J. Dongarra, S. Ostrouchov, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley UPDATED: August 31, 2001 (VERSION 1.7).
UT-CS-95-280, March, 1995.
lawn92 [pdf]
by J. Choi, J. Dongarra, and D. Walker
UT-CS-95-275, February 1995.
lawn91 [pdf]
by Z. Bai, J. Demmel, J. Dongarra, A. Petitet, H. Robinson, and K. Stanley
UT-CS-95-273, January 1995.
lawn90 [pdf]
by J. S. Plank, Y. Kim, and J. J. Dongarra
UT-CS-94-268, December 1994.
lawn89 [pdf]
by Ren-Cang Li
UT-CS-94-260, November, 1994.
lawn88 [pdf]
by Ming Gu, James Demmel, and Inderjit Dhillon
UT-CS-94-257, October, 1994.
lawn87 [pdf]
by B. Kagstrom and P. Poromaa
UT-CS-94-255, September, 1994.
lawn86 [pdf]
by J. Demmel and K. Stanley
UT-CS-94-254, September, 1994.
lawn85 [pdf]
by Ren-Cang Li
UT-CS-94-253, September, 1994.
lawn84 [pdf]
by Ren-Cang Li
UT-CS-94-252, September, 1994.
lawn83 [pdf]
by Ren-Cang Li
UT-CS-94-251, September, 1994.
lawn82 [pdf]
by J. Dongarra and M. Kolatis
UT-CS-94-250, August, 1994.
lawn81 [pdf]
by S. Blackford and J. Dongarra
UT-CS-94-249, September, 1994. UPDATED: June 30, 1999. (VERSION 3.0)
lawn80 [pdf]
by J. Choi, J. J. Dongarra, S. Ostrouchov, A. P. Petitet, D. W. Walker, and R. C. Whaley
UT-CS-94-246, September, 1994.
lawn79 [pdf]
by Greg Henry and Robert van de Geijn
UT-CS-94-244, August, 1994.
lawn78 [pdf]
by Victor Eijkhout
UT-CS-94-241, August, 1994.
lawn77 [pdf]
by Victor Eijkhout and Roldan Pozo
UT-CS-94-240, August, 1994.
lawn76 [pdf]
by Richard Barrett, Michael Berry, Jack Dongarra, Victor Eijkhout, and Charles Romine
UT-CS-94-239, August, 1994.
lawn75 [pdf]
by Bo Kagstrom and Peter Poromaa
UT-CS-94-237, July 1994.
lawn74 [pdf]
by J. Dongarra, A. Lumsdaine, X. Niu, R. Pozo, and K. Remington
UT-CS-94-236, July 1994.
lawn73 [pdf]
by R. Clint Whaley
UT-CS-94-234, May 1994.
lawn72 [pdf]
by R. Lehoucq
UT-CS-94-233, October 1995.
lawn71 [pdf]
by Jack Dongarra and Michael Kolatis
UT-CS-94-231, April 1994.
lawn70 [pdf]
by James Demmel, Inderjit Dhillon, and Huan Ren
UT-CS-94-228, March 1994.
lawn69 [pdf]
by J. Rutter
UT-CS-94-225, March 1994.
lawn68 [pdf]
by Michael W. Berry, Jack J. Dongarra and Youngbae Kim
UT-CS-94-221, February 1994.
lawn67 [pdf]
by F. Desprez, J. Dongarra, and B. Tourancheau
UT-CS-93-218, December, 1993.
lawn66 [pdf]
by Victor Eijkhout
UT-CS-93-216, November 1993.
lawn65 [pdf]
by Jaeyoung Choi, Jack J. Dongarra, and David W. Walker
UT-CS-93-215, November, 1993.
lawn64 [pdf]
by Padma Raghavan
UT-CS-93-203, August 1993.
lawn63 [pdf]
by Michael T. Heath and Padma Raghavan
UT-CS-93-202, August 1993.
lawn62 [pdf]
by Michael T. Heath and Padma Raghavan
UT-CS-93-201, August 1993.
lawn61 [pdf]
by J. Dongarra, R. Pozo, and D. Walker
UT-CS-93-200, August 1993.
lawn60 [pdf]
by James W. Demmel, Michael T. Heath, and Henk A. van der Vorst
UT-CS-93-192, March 1993.
lawn59 [pdf]
by James W. Demmel and Xiaoye Li
UT-CS-93-192, March 1993.
lawn58 [pdf]
by Jack Dongarra and David Walker
UT-CS-93-188, June 1993.
lawn57 [pdf]
lawn57.tgz .PUMMA: Parallel Universal Matrix Multiplication Algorithms on Distributed Memory Concurrent Computers
by Jaeyoung Choi, Jack J. Dongarra, and David W. Walker
UT-CS-93-187, May 1993.
lawn56 [pdf]
lawn56.tgz .Reducing Communication Costs in the Conjugate Gradient Algorithm on Distributed Memory Multiprocessors
by E.F. D’Azevedo, V.L. Eijkhout and C.H. Romine
UT-CS-93-185, January 1993.
lawn55 [pdf]
by J. Choi, J. Dongarra, R. Pozo, and D. Walker
UT-CS-92-181, November 1992.
lawn54 [pdf]
by Z. Bai and J.W. Demmel
UT-CS-92-182, October 1992.
lawn53 [pdf]
by J.W. Demmel
UT-CS-92-179, June 1992.
lawn52 [pdf]
by Michael T. Heath and Padma Raghavan
UT-CS-92-178, June 1992.
lawn51 [pdf]
by Victor Eijkhout
UT-CS-92-170, May 1992.
lawn50 [pdf]
by Victor Eijkhout
UT-CS-92-169, May 1992.
lawn49 [pdf]
by J. Demmel
UT-CS-92-167, May 1992.
lawn48 [pdf]
by J. Demmel and W. Gragg
UT-CS-92-166, May 1992.
lawn47 [pdf]
by J. Demmel
UT-CS-92-164, May 1992.
lawn46 [pdf]
by Z. Bai and J. Demmel
UT-CS-92-163, May 1992.
lawn45 [pdf]
by J. Demmel
UT-CS-92-162, May 1992.
lawn44 [pdf]
by Edward Anderson and Jack Dongarra
UT-CS-92-156, May 1992.
lawn43 [pdf]
by Jack Dongarra, Robert van de Geijn and David Walker
UT-CS-92-155, April, 1992.
lawn42 [pdf]
by Nick Higham
UT-CS-92-153, April, 1992.
lawn41 [pdf]
by Susan Blackford and Jack Dongarra
UT-CS-92-151, March, 1992. Updated: June 30, 1999 (VERSION 3.0)
lawn40 [pdf]
by James Demmel, Nick Higham, Rob Schreiber
UT-CS-92-149, February 1992.
lawn39 [pdf]
by James Demmel, Jack Dongarra, and W. Kahan
UT-CS-91-141, July, 1991.
lawn38 [pdf]
by Z. Bai and J. Demmel
UT-CS-91-139, November, 1991.
lawn37 [pdf]
by Jack J. Dongarra and Robert A. van de Geijn
UT-CS-91-138, October, 1991.
lawn36 [pdf]
by E. Anderson
UT-CS-91-142, August, 1991.
lawn35 [pdf]
by E. Anderson, J. Dongarra, and S. Ostrouchov
UT-CS-91-138, August 1991.
lawn34 [pdf]
by J. J. Dongarra
UT-CS-91-134, May 1991.
lawn33 [pdf]
by C. Bischof, P.T.P. Tang
UT-CS-91-133, May 1991.
lawn32 [pdf]
by C. Bischof, P.T.P. Tang
UT-CS-91-132, May 1991.
lawn31 [pdf]
by E. Anderson, Z. Bai, J. Dongarra
UT-CS-91-131, April 1991.
lawn30 [pdf]
by J. Dongarra, R. van de Geijn
UT-CS-91-130, April 1991.
lawn29 [pdf]
by R. van de Geijn
UT-CS-91-129, April 1991.
lawn28 [pdf]
by J. Dongarra, P. Mayes, G. Radicati
UT-CS-90-122, December 1990.
lawn27 [pdf]
by J. DuCroz, N. Higham
UT-CS-90-119, October, 1990.
lawn26 [pdf]
by E. Anderson, C. Bischof, J. Demmel, J. Dongarra, J. DuCroz, S. Hammarling, and W. Kahan
UT-CS-90-118, November 1990.
lawn25 [pdf]
by J. Dongarra, S. Hammarling, and J. Wilkinson
UT-CS-90-117, October, 1990.
lawn24 [pdf]
by J. Dongarra and S. Ostrouchov
UT-CS-90-115, October, 1990.
lawn23 [pdf]
by J. Demmel and N. Higham
UT-CS-90-113, August 1990.
lawn22 [pdf]
by J. Demmel and N. Higham
UT-CS-90-110, July 1990.
lawn21 [pdf]
by Jeremy Du Croz, Peter Mayes, and Guiseppe Radicati
UT-CS-90-109, July 1990.
lawn20 [pdf]
by E. Anderson, Z. Bai, C. Bischof, J. Demmel, J. Dongarra, J. DuCroz, A. Greenbaum, S. Hammarling, A. McKenney, D. Sorensen
UT-CS-90-105, May 1990.
lawn19 [pdf]
, download scanned copy with figures +[pdf scan]
by E. Anderson and J. Dongarra
UT-CS-90-103, April 1990.
lawn18 [pdf]
by E. Anderson and J. Dongarra
UT-CS-90-101, April 1990.
lawn17 [pdf]
by A. Greenbaum and J. Dongarra
UT-CS-89-92, November 1989.
lawn16 [pdf]
by E. Anderson and J. Dongarra
UT-CS-89-89, November 1989. (Replaced by lawn 41 or 81!!)
lawn15 [pdf]
by J. Demmel and K. Veselic
UT-CS-89-88, October 1989.
lawn14 [pdf]
by J. Demmel
UT-CS-89-87, October 1989.
lawn13 [pdf]
by Z. Bai, J. Demmel, and A. McKenney
UT-CS-89-86, October 1989.
lawn12 [pdf]
by Peter Mayes and Giuseppe Radicati ANL/MCS-TM-134, August 1989.
lawn11 [pdf]
by P. Deift, J. Demmel, L.-C. Li, and C. Tomei ANL, MCS-TM-133, August 1989.
lawn10 [pdf]
by E. Anderson and J. Dongarra ANL, MCS-TM-130, May 1989.
lawn09 [pdf]
by J. Demmel and A. McKenney ANL, MCS-P69-0389, March 1989.
lawn08 [pdf]
by Z. Bai and J. Demmel
ANL, MCS-TM-127, January 1989.
lawn07 [pdf]
by J. Barlow and J. Demmel
ANL, MCS-TM-126, December 1988.
lawn06 [pdf]
by O. Brewer, J. Dongarra, and D. Sorensen
ANL, MCS-TM-120, June 1988
lawn05 [pdf]
by C. Bischof, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, and D. Sorensen
ANL, MCS-TM-38, September 1988
lawn04 [pdf]
by J. Demmel, J. Du Croz, S. Hammarling, and D. Sorensen
ANL, MCS-TM-111, March 1988
lawn03 [pdf]
by J. Demmel and W. Kahan
ANL, MCS-TM-110, February 1988
lawn02 [pdf]
by J. Dongarra, S. Hammarling, and D. Sorensen
ANL, MCS-TM-99, September 1987
lawn01 [pdf]
by J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, and D. Sorensen
ANL, MCS-TM-97, September 1987


Contains functions to convert binary (presence-absence) expert species range maps (like those found in a field guide) into continuous surfaces based on distance to range edge. These maps can then be used in species distribution models such as Maximum Entropy (Phillips 2008 <doi:10.1111/j.0906-7590.2008.5203.x>) using additional information (such as point occurrence data) to refine the expert map.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | raster, sp, rgeos, rgdal, ggplot2, scales, foreach, doParallel, methods, grDevices, stats, tidyr, utils |
| Suggests: | testthat, directlabels, profr, rasterVis, magrittr, dplyr, knitr, rgrass7, rmarkdown |
| Published: | 2016-12-30 |
| Author: | Adam M. Wilson [aut, cre], Cory Merow [aut] |
| Maintainer: | Adam M. Wilson <adamw at buffalo.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | bossMaps results |
| Reference manual: | bossMaps.pdf |
| Vignettes: |
Incorporating Expert Range Maps in MaxEnt-style SDMs |
| Package source: | bossMaps_0.1.0.tar.gz |
| Windows binaries: | r-devel: bossMaps_0.1.0.zip, r-release: bossMaps_0.1.0.zip, r-oldrel: bossMaps_0.1.0.zip |
| OS X binaries: | r-release: bossMaps_0.1.0.tgz, r-oldrel: bossMaps_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=bossMaps to link to this page.


|
CANopenNode
|
CANopen object with pointers to all CANopenNode objects. More...
#include <CANopen.h>
Data Fields | |
| bool_t | nodeIdUnconfigured |
| True in unconfigured LSS slave. | |
| CO_CANmodule_t * | CANmodule [1] |
| CAN module objects. | |
| CO_SDO_t * | SDO [CO_NO_SDO_SERVER] |
| SDO object. | |
| CO_EM_t * | em |
| Emergency report object. | |
| CO_EMpr_t * | emPr |
| Emergency process object. | |
| CO_NMT_t * | NMT |
| NMT object. | |
| CO_SYNC_t * | SYNC |
| SYNC object. | |
| CO_TIME_t * | TIME |
| TIME object. | |
| CO_RPDO_t * | RPDO [CO_NO_RPDO] |
| RPDO objects. | |
| CO_TPDO_t * | TPDO [CO_NO_TPDO] |
| TPDO objects. | |
| CO_HBconsumer_t * | HBcons |
| Heartbeat consumer object. | |
| CO_SDOclient_t * | SDOclient [CO_NO_SDO_CLIENT] |
| SDO client object. | |
| CO_LEDs_t * | LEDs |
| LEDs object. | |
| CO_LSSslave_t * | LSSslave |
| LSS slave object. | |
| CO_LSSmaster_t * | LSSmaster |
| LSS master object. | |
| CO_GTWA_t * | gtwa |
| Gateway-ascii object (CiA309-3) | |
| CO_trace_t * | trace [CO_NO_TRACE] |
| Trace object for recording variables. | |
CANopen object with pointers to all CANopenNode objects.


| Student Name | {{myResult.user.firstName+" "+myResult.user.lastName}} |
|---|---|
| Test Name | {{myResult.test.name}} |
| Test Details | {{myResult.test.details}} |
| Marks per Question | {{myResult.test.marksEach}} |
| Total Number of Questions | {{myResult.test.totalQuestions}} |
| Test Duration | {{myResult.test.time}} minutes |
| Total Marks | {{myResult.test.totalQuestions*myResult.test.marksEach}} |
| No. Of Correct Answers: | {{myResult.totalCorrect}} |
| Total Marks Scored | {{myResult.totalCorrect*myResult.test.marksEach}} |
| Percentage obtained | {{(myResult.totalCorrect*myResult.test.marksEach)/(myResult.test.totalQuestions*myResult.test.marksEach)*100}} % |
| Test Completed in: | {{myResult.result.timeTaken}} |


One of the things that bothered me about early fanboy criticism of the American GODZILLA film was how everyone was worried that the new beast wouldn't be strictly canonical. I couldn't understand this, considering what *is* canonical within the official Toho monster series. In various movies Godzilla has flown, talked, magnetized his body and slid on his tail like a baseball runner. And the Big G's appearance had changed quite a bit from film to film. So, I thought, he's redesigned--so what?
For me, part of the problem with this Godzilla film was that the producers weren't really interested in making a Godzilla film. They were worried about the potential for camp and cheese, and had to be cajoled into the project. And it shows.
Aside from the familiar roar, there's very little about this new creature that suggests Godzilla any more than it does any number of other cinematic dinosaurs--Gorgo, Gappa, Yongary or the Beast from 20,000 Fathoms. He's basically an oversized JURASSIC PARK T-Rex with spines. Not only has his appearance radically changed, but so has his personality and behavior. It's like making a Superman film in which the Man of Steel has a new costume, teleports instead of flying, comes from the Earth's core rather than the planet Krypton and has a girlfriend named Trixie. My wife (who is not a Godzilla fan) felt that this new version lacked the charm of the Japanese character, and said "he's just a big lizard."
 He's only come to town to lay his eggs, and couldn't care less about those pesky humans. In return, he's hunted hither and yon, his children are slaughtered, and he's gutted by a handful of missiles. Unlike his Japanese cousin, he doesn't even get to escape to the sea and return another day. Poor guy.
Obviously, one doesn't come to this sort of movie expecting much in the way of plot or characterization, but these seem thin even by summer "popcorn" movie standards. INDEPENDENCE DAY (the other sci-fi blockbuster by this production team of Devlin and Emmerich) had a similar running time, but didn't seem to drag the way this one does between attacks. That film's characters weren't quite three-dimensional, but they were generally fun to watch.
 Furthermore, he's saddled with a reporter wanna-be girlfriend (Maria Pitillo) who seems to be busing in from a completely different film--perhaps a romantic comedy in which she'd be the one who loses her fiancee to Julia Roberts. And then there's the wacky French Secret Service agent...huh? This is a Godzilla film?
Aside from the scenes of mass destruction, the story centers around Broderick's relationship with his ex-girlfriend, who is concerned that she doesn't have what it takes to be a big-shot TV reporter. Who cares? INDEPENDENCE DAY had its share of romantic sub-plots, but didn't get bogged down in whether Will Smith would become a space shuttle pilot. Bring on the lizard!
There's a twist thrown in about Godzilla being pregnant, and the Powers That Be (including a mayor who is an unflattering caricature of film critic Roger Ebert) being too pigheaded to heed Broderick's warning to look for the nest. A lot of JURASSIC PARK-style "raptor hunt" action ensues, which is exciting enough, but again seems to belong to a different film.
Of course, it's not all bad. If you ignore the fact that this is supposed to be Godzilla, and treat it as a generic monster-on-the-loose movie, it's pretty spectacular. Whereas Japanese special effects technology hasn't improved much since the 60's (check out the new VHS releases of the 90's versions of GODZILLA VS. KING GHIDORAH and GODZILLA VS. MOTHRA to see what I mean), this GODZILLA takes full advantage of advances in CGI to create a convincing portrayal of mass destruction, including some dizzying chase scenes through the streets of Manhattan.
It's generally entertaining enough, and I felt that I got six bucks' worth of movie. But I never got chills up my spine, and I was never really concerned for the safety of the main characters. As for Godzilla himself, I wanted to say, "I've met Godzilla, and believe me, you're no Godzilla."
David Thiel / Champaign, Illinois E-mail<EMAIL_ADDRESS>WWW: http://www.geocities.com/Area51/Cavern/3227
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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Header:
Body:


increasing the risk of more than 20 preventable diseases,
including sleep apnea, asthma, heart diseases.
Type 2 diabetes, osteoarthritis, high blood
pressure and high-cholesterol stroke
RISK FACTORS
Children in their early teens who are
obese and who have high triglyceride levels have arteries similar to those
of 45 year olds Obese children as young as age 3
show indicators for developing heart disease later in life
Children who are overweight from
the ages of 7 to 13 may develop heart disease as early as age 25.

FRENCH FRIES
are the most common vegetable that children eat,comprising
25%
of their vegetable intake.
JUICE
(which may lack important fibre found in whole fruit) makes up


Thelewaala
This was founded to support the mobile street vendors during the time of a global pandemic where they had been affected adversely and couldn’t cope up with the losses they incurred.
We aim to design an application that will be a point of contact between mobile street vendors (vegetable sellers, fruit sellers, other items), and customers. The customers would just have to book an order for the products he/she wants and the nearest mobile vendors will accept the business order and directly reach the person. In an Indian market setup, such an ecosystem would benefit both the myriad street vendors and customers.


@*
* Copyright 2023 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import config.FrontendAppConfig
@import uk.gov.hmrc.hmrcfrontend.views.config.StandardBetaBanner
@import uk.gov.hmrc.hmrcfrontend.views.html.helpers._
@import views.html.helper.CSPNonce
@this(
govukBackLink: GovukBackLink,
hmrcLayout: HmrcLayout,
hmrcTimeoutDialog: HmrcTimeoutDialog,
hmrcReportTechnicalIssueHelper: HmrcReportTechnicalIssueHelper,
standardBetaBanner: StandardBetaBanner
)
@(
pageTitle: Option[String] = None,
beforeContentBlock: Option[Html] = None,
backLink: Boolean = true,
signOutLink: Boolean = true,
timeout: Boolean = true
)(contentBlock: Html)(implicit request: Request[_], messages: Messages, appConfig: FrontendAppConfig)
@head = {
@if(timeout) {
@hmrcTimeoutDialog(TimeoutDialog(
language = Some("en"),
timeout = Option(appConfig.timeout),
countdown = Option(appConfig.countdown),
keepAliveUrl = Some("/register-for-vat/renew-session"),
signOutUrl = Some(controllers.callbacks.routes.SignInOutController.signOut.url)
))
}
}
@scripts = {
}
@content = {
@contentBlock
@hmrcReportTechnicalIssueHelper()
}
@hmrcLayout(
pageTitle = pageTitle,
serviceName = Some(messages("service.name")),
isWelshTranslationAvailable = true,
additionalHeadBlock = Some(head),
signOutUrl = if (signOutLink) Some(controllers.callbacks.routes.SignInOutController.signOut.url) else None,
serviceUrl = Some(controllers.routes.JourneyController.show.url),
phaseBanner = None,
backLinkUrl = if (backLink) Some("#") else None,
displayHmrcBanner = true,
nonce = CSPNonce.get,
additionalScriptsBlock = Some(scripts)
)(content)


{% extends "base.html" %} {% load staticfiles %} {% block extrahead %} {% endblock %} {% load bootstrap_tags %} {% block content %} {% block row_header %}
This visualization was created to show current property market situation in four major cities of Ireland - Cork, Dublin, Galway & Limerick. Magic quadrant-style data display allows to determine most attractive investments based on price & energy rating (BER). Additionally, user is in control of specifying his current budget, number of bedrooms required and city area.
Data Source: Daft.ie


Before Change
sounds_dirty = Sound.objects.select_related("pack", "user", "license").filter(is_index_dirty=True)
// Index all those which are processed and moderated ok
sounds_dirty_to_index = sounds_dirty.filter(moderation_state="OK", processing_state="OK")
logger.info("Starting posting dirty sounds to solr. %i sounds to be added/updated to the solr index"
% sounds_dirty_to_index.count())
num_correctly_indexed_sounds = add_all_sounds_to_solr(sounds_dirty_to_index, mark_index_clean=True)
logger.info("Finished posting dirty sounds to solr. %i sounds have been added/updated"
% num_correctly_indexed_sounds)
// Remove all those which are not processed or moderated ok and that are still in solr (should not happen)
After Change
slice_size = 1000
for i in range(0, num_sounds, slice_size):
console_logger.info("Adding %i sounds to solr, slice %i", slice_size, i)
try:
// Get all sounds moderated and processed ok that has is_index_dirty
where = "sound.moderation_state = "OK" AND sound.processing_state = "OK" AND is_index_dirty = true AND sound.id > %s"
order_by = "sound.id ASC"
sounds_qs = Sound.objects.bulk_query_solr(where, order_by, slice_size, (i, ))
add_sounds_to_solr(sounds_qs)
num_correctly_indexed_sounds += slice_size
except SolrException as e:
console_logger.error("failed to add sound batch to solr index, reason: %s", str(e))
raise
logger.info("Finished posting dirty sounds to solr. %i sounds have been added/updated"
% num_correctly_indexed_sounds)
// Remove all those which are not processed or moderated ok and that are still in solr (should not happen)


#include <btdiscoverer.h>
Public Member Functions | |||||||
| void | ConstructL () | ||||||
| Second level constructor for CBTDiscoverer class. | |||||||
| void | ListServicesL (const TBTDevAddr &aAddress) | ||||||
| Initiates the service discovery process. | |||||||
Static Public Member Functions | |||||||
CBTDiscoverer class first level constructors | |||||||
These methods create an object of CBTDiscoverer class and initialize a couple of class variables.
| |||||||
| static CBTDiscoverer * | NewL (RFileLogger *aLog, CBTServiceListContainer *aBtSlContainer) | ||||||
| static CBTDiscoverer * | NewLC (RFileLogger *aLog, CBTServiceListContainer *aBtSlContainer) | ||||||
Private Member Functions | |||||||
| CBTDiscoverer (RFileLogger *aLog, CBTServiceListContainer *aBtSlContainer) | |||||||
| CBTDiscoverer class constructor. | |||||||
| void | PrintSDPError (TInt aError) | ||||||
| Prints an error code to the log. | |||||||
| void | NextRecordRequestComplete (TInt aError, TSdpServRecordHandle aHandle, TInt aTotalRecordsCount) | ||||||
| Callback method from system. | |||||||
| void | AttributeRequestResult (TSdpServRecordHandle aHandle, TSdpAttributeID aAttrID, CSdpAttrValue *aAttrValue) | ||||||
| Callback method from system. | |||||||
| void | AttributeRequestComplete (TSdpServRecordHandle aHandle, TInt aError) | ||||||
| Callback method from system. | |||||||
| void | VisitAttributeValueL (CSdpAttrValue &aValue, TSdpElementType aType) | ||||||
| Callback method from system. |
Following are some main functions of this class:
|
|
CBTDiscoverer class constructor. CBTDiscoverer only initializes some class variables with parameters passed.
|
|
|
Callback method from system. This method is a call back from system and is invoked when the attribute list of a service ends. When this method is invoked it is guaranteed the port number and the port name of the serial port service on the device is available. This number and name is then written to the list contained by CBTServiceListContainer.
|
|
|
Callback method from system. This method is a call back from system and is invoked when the Bluetooth service discovery agent finds an attribute for a particular service requested by NextRecordRequestComplete() method. This method then further requests to visit the value of the received attribute.
|
|
|
Second level constructor for CBTDiscoverer class. This method initializes some class variables and defines a searching criteria for services on a device. |
|
|
Initiates the service discovery process. This method initiates the service discovery process for the device whos address is passed as parameters.
|
|
|
Callback method from system. This method is a call back from system and is invoked when the Bluetooth service discovery agent finds a service matching the service criteria specified in ConstructL(). This method then further requests attributes for the discovered service.
|
|
|
Prints an error code to the log. This method prints the error code passed to it to the log file.
|
|
|
Callback method from system. This method is a call back from system and is invoked when the value of an attribute is visited. This method is responsible for saving the port number and port name of a service.
|


Isaiah 56:7 ”These I will bring to my holy mountain and give them in my house of prayer. Their burnt offerings and sacrifices will be accepted on my altar; for my house will be called a house or prayer for all nations.”
The Greater Toronto Area (GTA) has over the last 10-15 years seen an influx of the Malankara Orthodox Syrian faithful mainly from various parts of India and the Middle East.
For all those faithful who move to the GTA one of their immediate need is to connect with the community and worship together. However there has been no church for the faithful based in the city of Toronto and its Eastern Suburbs. This reality was highlighted during the visit to Toronto in December 2011 by our Diocesan Metropolitan, His Grace Zachariah Mar Nicholovos. Rev Fr Dr Daniel Thomas was then appointed by His Grace to cater to the spiritual needs of the faithful in Scarborough and adjoining areas.
Since we have been earnestly seeking the intercession of the Mother of God in this need, we have named it the St Mary’s Malankara Orthodox Syrian Church.
The congregation was elevated as a full fledged parish by the diocesan metropolitan in July 2013.
We welcome members who wish to join and partner with us to build a church with a Malankara Orthodox ethos that will be a witness for our Lord among the faithful and the community at large. We believe the most visible way God knits people into the community of Christ and draws people into a personal relationship with God is through a church that focuses on WORSHIP, FELLOWSHIP and SERVICE.
We invite you to WORSHIP with us and build and enrich the FELLOWSHIP of believers with your talents and resources and together seek the sustenance and strength of the Holy Spirit to shine for Christ through SERVICE.
The future is absolutely bristling with possibilities, if we believe with St Paul, “There is one body and one Spirit, just as you were called to one hope when you were called; one Lord, one faith, one baptism; one God and Father of all, who is over all and through all and in all” (Ephesians 4: 4 -6). We can together glorify God by further holding on to the faith and traditions of our fore fathers… “To this he called you through our gospel, so that you may obtain the glory of our Lord Jesus Christ. So then, brothers, stand firm and hold to the traditions that you were taught by us, either by our spoken word or by our letter.” (2 Thessalonians 2:14, 15)
Currently, we have regular Holy Qurbana, and a vibrant Sunday School every week.For further information please contact us.


Anusol description
Anusol Beer Company stands guard for your rest, tranquility, relaxation and good mood. We strive for the best quality beer for our customers. To contact us, use any method convenient for you.
e-mail<EMAIL_ADDRESS>tel.:<PHONE_NUMBER>
ANUSOL OINTMENT
1556 Broadway, Suite 416
Toronto, ON, Canada


Rock Paper Scissors Game
Player VS Computer
Computer VS Computer
Please select your choice
Player
Computer
Result
Play Again
Change Mode


The toString() method returns an array as a comma separated string:
The join() method joins array elements into a string.
It this example we have used " * " as a separator between the elements:
The pop() method removes the last element from an array.
The shift() method removes the first element of an array (and "shifts" all other elements to the left):
The unshift() method returns the length of the new array:
Note: The unshift() method does not work properly in Internet Explorer 8 and earlier, the values will be inserted, but the return value will be undefined.
Deleting elements leaves undefined holes in an array.
The splice() method adds new elements to an array, and returns an array with the deleted elements (if any).
The concat() method is used to merge (concatenate) arrays:
When the slice() method is given two arguments, it selects array elements from the start argument, and up to (but not included) the end argument:


Welcome to the Monroe County
Genealogical Society Web Page
NEWS -- HEADLINES:
Click here for the latest Chapter news!
Click here for the latest new publications!
THE NAVIGATOR:
Exchange information and collect data through the Navigator. The quarterly publication of the Monroe County Chapter of Ohio Genealogical Society, the Navigator, has been awarded for its excellence by the Ohio Genealogical Society (MCC of OGS). Issues are mailed in January, April, July and October to all members of the MCC of OGS. An annual index of names of ancestors and other people that appeared in the Navigator throughout the current year is mailed in December. Queries may be placed in the Navigator free of charge to all members but all queries must pertain to Monroe County ancestors.
Click here for indices and more information about the Navigator
Meetings of the Monroe County Chapter of the Ohio Genealogical Society are open to the public. We welcome and encourage anyone who is interested to attend.
Unless otherwise noted, meetings are generally held the third Sunday of each month (except December) at 2:00 p.m. at the Monroe County District Library, 96 Home Avenue, Woodsfield<PHONE_NUMBER>. Meetings are open to the public and feature speakers on local history and genealogical topics.
Schedule of Meetings and Events
You are invited to become a member of the Monroe County Chapter of the Ohio Genealogical Society (MCC of OGS). Dues are $7.00 Individual, $10.00 Family. Members receive the quarterly newsletter and may submit queries free of charge.
Click here for a printable Membership Application
Monroe County, Ohio is truly one of the jewels among the counties of our nation. As truly one of the frontier counties as the nation expanded westward, Monroe County was witness to fierce struggle between the Native Americans and encroaching settlers. Stories abound from this period that would challenge our best movie industry for action, heroism, defeat, courage and progress. The County saw an oil boom that changed the culture of its people forever. In this section several of the important stories, events and informational sources are included. They help set the stage for the periods in Monroe County history in which our ancestors lived. Some are just entertaining.
Click here for a list of the available stories of Monroe County
Throughout its history Monroe County, Ohio experienced many people and events that are noteworthy in understanding the lives of our ancestors and the people today. A time-line beginning with factors that eventually led to the formation of the County and subsequently shaped the County has been assembled.
Click here to go to the Monroe County Time-line
Among the several ongoing projects within the MCC of OGS is one aimed at identifying and inventorying all of the cemeteries and their monuments within the County. Decades of exposure to the elements has taken its toll of many monuments, particular those made of limestone that were so popular in centuries past.
Click here for more information about cemeteries in Monroe County
Several databases are available on line to assist researchers
New Publications are now available.
Click here for a complete list of new publications
Click here for a complete list of available publications
FIRST FAMILIES and PIONEER FAMILIES OF MONROE COUNTY:
The Monroe County Chapter of OGS honors the descendants of families who originally settled this area.
This is a department of the Monroe Chapter, OGS. It is open to any member who is a direct descendent of an individual living in Monroe County by 31 December 1830. An application detailing proof of descent must be submitted with a one-time $15 application fee.
Details of the 2001 First Families events will be announced soon.
Click here for a printable request for application to First Families of Monroe County.
This department does not replace First Families but works in conjunction with it. Pioneer Families is open to any member who is a descendent of an individual who settled in Monroe County by 31 December 1850.
To join Pioneer Families, you must submit an application detailing proof of descent. Include documents providing proof plus a one-time $15.00 application fee. If your family is already enrolled in First Families, then the application fee for Pioneer Families is only $10.00.
Details of the 2001 Pioneer Families events will be announced soon.
Click here for a printable request for application to Pioneer Families of Monroe County.
Visit the Research Room in the Monroe County District Library, 96 Home Avenue, Woodsfield, 43793 -- Phone:<PHONE_NUMBER>). Our chapter maintains the collection of data on Monroe County and related areas. Many of the books and genealogy documents in the library have been donated. Donations are always welcome.
Hours: Monday - Thursday, 10:00 - 8:00; Friday - Saturday 10:00 - 5:00
The Monroe County Chapter of the Ohio Genealogical Society maintains an impressive collection of microfilm, microfiche, and CDs for the use of our members and guests. The chapter also maintains readers for the microfilm and microfiche at the library. Click on the hyperlink immediately below to see a list of these items.
Click here for more information on the MCC of OGS Research Room
The Surname File is located in the Research Room at the Monroe County District Library. Surnames are also published in the newsletter. Members should submit their Monroe County surnames on 3 x 5 cards (one name per card). Each card should include the surname being researched and your name and address. Send your cards to the Monroe Chapter, OGS.
Click here to go to the Surname file
ABOUT THE MONROE COUNTY CHAPTER OF OHIO GENEALOGICAL SOCIETY
Our History:
LINKS TO OTHER SITES RELATING TO MONROE COUNTY GENEALOGY
Copyright
8 1999, 2000, 2001 Monroe County Genealogical SocietyUpdated: May 19, 2001


Yu Yang
Assistant Professor
Department of Computer Science and Engineering
Lehigh University
Email:
yuyang AT lehigh.edu
Address:
Room 313, Building C
113 Research Drive
Lehigh Mountaintop Campus
Bethlehem, PA 18015
I am an Assistant Professor in the Department of Computer Science and Engineering at Lehigh University. I obtained my PhD in Computer Science from Rutgers University. My research interests broadly encompass the areas of Cyber-Physical Systems, Human-Centered Computing, and Data Science. Currently, my work focuses on urban sensing, prediction, and decision-making, with diverse applications in Intelligent Transportation Systems, Logistics, On-demand Gig Economy, Last-mile Mobility, and Smart Cities.
I always look for motivated graduate/undergraduate/visiting students to work with me. Please email me your CV and all the transcripts if you are interested.
Recent News
- Aug. 2023 Grant: Project funded by NSF CISE-MSI (CNS Division).
- Aug. 2023 5 papers accepted by CIKM'23.
- Apr. 2023 Grant: Project funded by NSF CRII (CNS Division).
- Mar. 2023 Invited talk at Wayne State University.
- Mar. 2023 1 poster paper accepted by ICCPS'23.
- Feb. 2023 Serving as ICA3PP'23 IoT/CPS Track Co-Chair.
- Feb. 2023 2 papers accepted by ICDE'23.
- Dec. 2022 Grant: Project funded by the Lehigh Accelerator Grant.
- Dec. 2022 Grant: Project funded by the Pennsylvania Infrastructure Technology Alliance (PITA) program.
- Oct. 2022 Keynote at the 3rd Workshop on Data-driven Intelligent Transportation@CIKM.
- Aug. 2022 1 paper about human mobility accepted by Nature Scientific Reports.
- Aug. 2022 1 paper accepted by SIGSPATIAL'22.
- Aug. 2022 1 paper accepted by CIKM'22.
- Jul. 2022 We are organizing the 5th International Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD 2022), co-located with UbiComp 2022. Welcome to join us.
- May 2022 1 paper accepted by KDD'22. More News


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import include._ @import models.confirmation._ @import config.ApplicationConfig @import config.{ ApplicationConfig} @this(main: include.main) @(companyName: String)(implicit request: Request[_],messages:Messages, lang: Lang, appConfig: ApplicationConfig) @main(title = messages("confirmation.variation.title")) {
@companyName
@messages("confirmation.no.fee")
@messages("confirmation.payment.info.keep_up_to_date")


185. Two shortest
time limit per test: 0.5 sec.
memory limit per test: 1024
KB
input: standard input
output: standard
output
Yesterday Vasya and Petya quarreled badly, and now they don't
want to see each other on their way to school. The problem is that they live in
one and the same house, leave the house at the same time and go at the same
speed by the shortest road. Neither of them wants to change their principles,
that is why they want to find two separate shortest routes, which won't make
them go along one road, but still they can meet at any junction. They ask you to
help them. They number all the junctions with numbers from 1 to N (home and
school are also considered as junctions). So their house has the number 1 and
the school has the number N, each road connects two junctions exactly, and there
cannot be several roads between any two junctions.
Input
The first line contains two integer numbers N and M
(2<=N<=400), where M is the number of roads Petya and Vasya noticed. Each
of the following M lines contains 3 integers: X, Y and L (1<=X, Y<=N,
1<=L<=10000), where X and Y - numbers of junctions, connected by the road
and L is the length of the road.
Output
Write to the first line numbers of the junctions in the way they
passed them on the first route. Write to the second line numbers of the
junctions in the way they passed them on the second route. If it is impossible
to help guys, then output "No solution".
Sample test(s)
Input
6 8
1 2 1
3 2 1
3 4 1
1 3 2
4 2 2
4 5 1
5 6 1
4 6 2
Output
1 3 4 5 6
1 2 4 6
| Author: |
Andrew V. Lazarev |
| Resource: |
ACM International Collegiate Programming Contest 2003-2004
North-Eastern European Region, Southern Subregion |
| Date: |
2003 October, 9
|
| Server time: 2004-01-14 11:03:47 |
Online Contester Team © 2002 - 2003. All
rights
reserved. | | |


I'm Lisa, a web developer and UX-designer currently working as a consultant at Netlight Consulting in Stockholm. I'm originally from Umeå in northern Sweden and I like to cultivate things on my balcony.
I like to use my mixed compentese to create great, user friendly services to be used by people and love to make the web more accessible for everyone.
Making the IT-industry more equal is another topic close to my heart and I regularly hold workshops at communities such as The Code Pub, Pink programming, Introduce a girl to engineering day and Tjejer kodar.
SVT is the public service TV-broadcaster in Sweden. I work as web developer mainly with SVT Play.
Netlight is an independent, value driven consulting firm based on a culture of social professionalism. My expertise is primarily web development and UX-design.
Sales by Crowd provides qualified business meetings by connecting people online in an innovative way. I worked here during the start up as an UX-designer and frontend developer.
Acino is an agile IT company with a passion for digital development, transparent dialogues and agile practices. My role was UX-designer and frontend developer.


Buffering of RNA expression variation
Table of Contents
Introduction
Recent advances have enabled simultaneous, high-throughput measurement of RNA and protein expression (CITE-seq, Stoeckius et al. 2017; REAP-seq, Peterson et al. 2017; Abseq, Shahi et al. 2017). These experiments have revealed that protein expression is often only weakly correlated with RNA expression. However, the fact that RNA and protein expression are not necessarily perfectly correlated is well understood; indeed, early experiments in model organisms clearly indicate this lack of correlation (e.g., Elowitz et al. 2002).
To explain this lack of correlation, variation in RNA expression among single cells has been partitioned into intrinsic variation (i.e., due to the action of polymerase) and extrinsic variation (e.g., due to availability of polymerase, transcription factors, etc.; reviewed Raj and van Oudenaarden 2008). Subsequently, physically-motivated statistical models of intrinsic variation in RNA expression have been developed and estimated from data (Peccoud and Ycart 1995, Raj et al. 2006, Munsky et al. 2012, Kim and Marioni 2013, Amrhein et al. 2019, Larsson et al. 2019). In turn, physically-motivated models of protein expression variation have been developed and estimated from data (Paulsson et al. 2000, Swain et al. 2002, Shahrezaei and Swain 2008). In summary, these models indicate that protein expression variation is buffered against RNA expression variation through the process of translation.
Open problems. How well can protein expression be predicted from RNA expression using recent high-throughput assays? How well can it be explained by additive models as opposed to more complex models? How can we combine fine-mapping (variable selection) models with multiple imputation (Rubin 1987) to handle denoised observations?
What are the consequences of buffering of RNA expression variation at the protein expressionlevel on making biological inferences from RNA expression data alone? If RNA expression is a poor proxy for protein expression, does it follow that explaining genetic/environmental effects on phenotype through RNA expression alone is fundamentally limited, if not fundamentally flawed?
Setup
import anndata import numpy as np import pandas as pd import pickle import scanpy import scipy.sparse as ss import scipy.special as sp import scipy.stats as st import scmodes
import rpy2.robjects.packages import rpy2.robjects.pandas2ri rpy2.robjects.pandas2ri.activate() ashr = rpy2.robjects.packages.importr('ashr')
%matplotlib inline %config InlineBackend.figure_formats = set(['retina'])
import matplotlib.collections import matplotlib.pyplot as plt plt.rcParams['figure.facecolor'] = 'w' plt.rcParams['font.family'] = 'Nimbus Sans'
Methods
Data sets
- CBMC CITE-seq (Stoeckius et al. 2017; GSE100866)
- REAP-seq (Peterson et al. 2017; GSE100501)
PBMC CITE-seq (Lawlor et al. 2021; data available from HCA)
parallel curl --ftp-pasv -O <<EOF https://ftp.ncbi.nlm.nih.gov/geo/series/GSE100nnn/GSE100866/suppl/GSE100866_CBMC_8K_13AB_10X-ADT_umi.csv.gz https://ftp.ncbi.nlm.nih.gov/geo/series/GSE100nnn/GSE100866/suppl/GSE100866_CBMC_8K_13AB_10X-RNA_umi.csv.gz https://ftp.ncbi.nlm.nih.gov/geo/series/GSE100nnn/GSE100866/suppl/GSE100866_CD8_merged-ADT_umi.csv.gz https://ftp.ncbi.nlm.nih.gov/geo/series/GSE100nnn/GSE100866/suppl/GSE100866_CD8_merged-RNA_umi.csv.gz https://ftp.ncbi.nlm.nih.gov/geo/series/GSE100nnn/GSE100866/suppl/GSE100866_PBMC_vs_flow_10X-ADT_umi.csv.gz https://ftp.ncbi.nlm.nih.gov/geo/series/GSE100nnn/GSE100866/suppl/GSE100866_PBMC_vs_flow_10X-RNA_umi.csv.gz EOF curl "https://www.ncbi.nlm.nih.gov/geo/download/?acc=GSE100501&format=file" -o GSE100501.tar
mkdir -p reap-seq tar xf GSE100501.tar -C reap-seq
Measurement model for CITE-seq/REAP-seq observations
Recall that observed RNA molecule counts \(x_{ij}\) at gene \(j = 1, \ldots p\) in sample \(i = 1, \ldots, n\) can be described as (Sarkar and Stephens 2020) \( \DeclareMathOperator\Bern{Bernoulli} \DeclareMathOperator\Pois{Poisson} \DeclareMathOperator\Gam{Gamma} \newcommand\E[1]{\left\langle #1 \right\rangle} \newcommand\xiplus{x_{i+}} \newcommand\yiplus{y_{i+}} \newcommand\const{\mathrm{const}} \)
\begin{equation} x_{ij} \mid \xiplus, \lambda_{ij} \sim \Pois(\xiplus \lambda_{ij}) \end{equation}where \(\lambda_{ij}\) denotes (latent) relative gene expression level and \(\xiplus \triangleq \sum_j x_{ij}\). Protein expression levels measured via CITE-seq/REAP-seq are counts of unique barcodes (similar to UMIs); therefore, it is reasonable to begin with a Poisson measurement model for observed protein molecule counts,
\begin{equation} y_{ij} \mid \yiplus, \rho_{ij} \sim \Pois(\yiplus \rho_{ij}), \end{equation}where \(\rho_{ij}\) denotes (latent) relative protein expression level and \(\yiplus \triangleq \sum_j y_{ij}\). It follows that a single-gene protein expression model can be specified as a distribution \(\rho_{ij} \sim \tilde{g}_j(\cdot)\), analogous to models for RNA expression variation \(\lambda_{ij} \sim g_j(\cdot)\).
Remark. totalVI
(Gayoso et al. 2021)
combines a Poisson measurement model with a protein expression model
where the Gamma distribution is parameterized by shape and rate, and the
mixture components represent background (non-specific) and foreground (tagged)
distributions of antibody abundances. However, the motivation for the
specific choice of background component is not clear. cTP-net
(Zhou et al. 2020)
minimizes the \(\ell_1\)-norm of the difference between relative protein
expression levels predicted using de-noised RNA expression levels and the
observed
clr-transformed
(relative) protein expression levels. Thus, it does not account for
measurement error in the protein expression data.
Gamma mixture expression model
Gayoso et al. 2021 propose a mixture of two Gamma distributions protein expression model,
\begin{align} \rho_i \mid z_i = 0 &\sim \Gam(a, b)\\ \rho_i \mid z_i = 1 &\sim \Gam(a, b - d), d > 0\\ z_i &\sim \Bern(p) \end{align}where the Gamma distribution is parameterized by shape and rate and we have fixed gene \(j\). The key idea is to account for the fact that antibodies may bind non-specifically, by constraining the foreground distribution \(z_i = 1\) to have larger mean than the background distribution. Here, derive an EM algorithm for the resulting observation model. The log joint
\begin{align} \ln p(x_i, z_i, \rho_i \mid z_i = 0, s_i, a, b, d, p) = x_i \ln (s_i \rho_i) - s_i \rho_i + (1 - z_i) (\ln (1 - p) + a \ln b + a \ln\rho_i - b\rho_i - \ln\Gamma(a)) + z_i (\ln p + a \ln (b - d) + a \ln\rho_i - (b - d)\rho_i - \ln\Gamma(a)) + \const \end{align}thus the posteriors
\begin{align} q(z_i \mid \rho_i) &= z_i (\ln p + \Gam(\rho_i; a, b - d)) + (1 - z_i) (\ln (1 - p) + \Gam(\rho_i; a, b)) + \const\\ &= \Bern\left(\frac{\Gam(\rho_i; a, b - d)}{\Gam(\rho_i; a, b - d) + \Gam(\rho_i; a, b)}\right)\\ q(\rho_i \mid z_i = 1) &= x_i \ln (s_i\rho_i) - s_i \rho_i + a\ln\rho_i - (b - d)\rho_i + \const\\ &= \Gam(x_i + a, s_i + b - d)\\ q(\rho_i \mid z_i = 0) &= \Gam(x_i + a, s_i + b). \end{align}The expected log joint with respect to \(q\)
\begin{multline} h \triangleq \sum_i \E{\ln p(x_i, z_i, \rho_i \mid z_i = 0, s_i, a, b, d, p)} = \sum_i x_i (\ln s_i + \E{\ln\rho_i})- s_i \E{\rho_i}\\ + \E{(1 - z_i)} (\ln (1 - p) + a \ln b + a \E{\ln\rho_i} - b\E{\rho_i} - \ln\Gamma(a))\\ + \E{z_i} (\ln p + a \ln (b - d) + a \E{\ln\rho_i} - (b - d)\E{\rho_i} - \ln\Gamma(a)) + \const, \end{multline}yielding M step updates
\begin{align} \frac{\partial h}{\partial p} &= \sum_i \frac{\E{1 - z_i}}{1 - p} + \E{z_i}{p} = 0\\ \ln\left(\frac{p}{1 - p}\right) &:= \ln\left(\frac{\sum_i \E{z_i}}{\sum_i \E{1 - z_i}}\right)\\ \frac{\partial h}{\partial b} &= \sum_i \E{1 - z_i}\left(\frac{a}{b} - \E{\rho_i}\right) + \E{z_i}\left(\frac{a}{b - d} - \E{\rho_i}\right) = 0\\ \frac{\partial h}{\partial d} &= \sum_i \E{z_i}\left(\frac{a}{b - d} - \E{\rho_i}\right) = 0\\ \frac{\partial h}{\partial a} &= \sum_i \E{1 - z_i}(\ln b + \E{\ln\rho_i} - \psi(a)) + \E{z_i}(\ln (b - d) + \E{\ln\rho_i} - \psi(a))\\ \frac{\partial^2 h}{\partial a^2} &= -\sum_i \E{1 - z_i} \psi^{(1)}(a) - \E{z_i}\psi^{(1)}(a) \end{align}Predicting protein expression from RNA expression
The major challenge in predicting protein expression from RNA expression is that both responses and predictors are noisy. Handling noise in predictors is well-studied (Fuller 1987), and can be addressed using e.g., multiple imputation (Little and Rubin 1987). Handling noise in the response follows naturally from the measurement model for protein expression observations above.
Remark. cTP-net
does not account for uncertainty in the de-noised
expression levels when predicting protein expression levels from RNA
expression levels. totalVI
is a full generative model for both RNA and
protein expression; however, it is unclear whether missing (protein
expression) observations are handled. In principle, they could be handled by
producing an approximate posterior predictive distribution for the
unobserved protein expression levels, given observed data.
Results
Pre-process the data
Pre-process the data into sparse matrices for convenience.
prot = pd.read_csv('/scratch/midway2/aksarkar/singlecell/GSE100866_CBMC_8K_13AB_10X-ADT_umi.csv.gz', index_col=0).T rna = pd.read_csv('/scratch/midway2/aksarkar/singlecell/GSE100866_CBMC_8K_13AB_10X-RNA_umi.csv.gz', index_col=0).T
prot = anndata.AnnData(ss.csc_matrix(prot.values), obs=pd.DataFrame(prot.index, columns=['barcode']), var=pd.DataFrame(prot.columns, columns=['gene'])) rna = anndata.AnnData(ss.csc_matrix(rna.values), obs=pd.DataFrame(rna.index, columns=['barcode']), var=pd.DataFrame(rna.columns, columns=['gene'])) prot, rna
(AnnData object with n_obs × n_vars = 8617 × 13 obs: 'barcode' var: 'gene', AnnData object with n_obs × n_vars = 8617 × 36280 obs: 'barcode' var: 'gene')
prot.write_h5ad('GSE100866_CBMC_8K_13AB_10X-ADT.h5ad') rna.write_h5ad('GSE100866_CBMC_8K_13AB_10X-RNA.h5ad')
CBMC CITE-seq
Read the sparse data.
prot = anndata.read_h5ad('GSE100866_CBMC_8K_13AB_10X-ADT.h5ad') rna = anndata.read_h5ad('GSE100866_CBMC_8K_13AB_10X-RNA.h5ad')
Gayoso et al. proposed a NB mixture observation model for protein expression. There are only 13 proteins measured, so we can just look at the empirical distribution of observed counts for all of them.
plt.clf() fig, ax = plt.subplots(3, 5, sharey=True) fig.set_size_inches(7, 5) for a, j in zip(ax.ravel(), range(prot.shape[1])): y = prot[:,j].X.A.ravel() a.hist(y, bins=20, color='0.7') a.set_title(prot.var.loc[str(j), 'gene']) for a in ax: a[0].set_ylabel('Num cells') for a in ax.T: a[-1].set_xlabel('Num mols') fig.tight_layout()
The mapping of RNAs to proteins is complex, since e.g., CD3D, CD3E, and CD3G all encode protein subnits of the cell surface marker CD3.
mapping = { 'CD3': ['CD3D', 'CD3E', 'CD3G'], 'CD4': ['CD4'], 'CD8': ['CD8A', 'CD8B'], 'CD45RA': ['PTPRC'], 'CD56': ['NCAM1'], 'CD16': ['FCGR3A', 'FCGR3B'], 'CD10': ['MME'], 'CD11c': ['ITGAX'], 'CD14': ['CD14'], 'CD19': ['CD19'], 'CD34': ['CD34'], 'CCR5': ['CCR5'], 'CCR7': ['CCR7'], }
Look more closely at CD3.
plt.clf() fig, ax = plt.subplots(1, 4) fig.set_size_inches(7, 2) ax[0].hist(prot[:,prot.var['gene'] == 'CD3'].X.A.ravel(), bins=30, color='k') ax[0].set_title('CD3 (protein)') for g, a in zip(mapping['CD3'], ax[1:]): x = rna[:,rna.var['gene'] == f'HUMAN_{g}'].X.A.ravel() a.hist(x, bins=np.arange(x.max() + 1), color='k') a.set_title(f'{g} (mRNA)') ax[0].set_ylabel('Number of cells') for a in ax: a.set_xlabel('Number of molecules') fig.tight_layout()
Fit a point-Gamma RNA expression model for the CD3 subunit genes, and fit a fully non-parametric protein expression model for CD3.
fits = { 'CD3': scmodes.ebpm.ebpm_npmle(prot[:,prot.var['gene'] == 'CD3'].X.A.ravel(), prot.X.sum(axis=1).A.ravel(), verbose=True) } fits.update({ f'HUMAN_{g}': scmodes.ebpm.ebpm_point_gamma(rna[:,rna.var['gene'] == f'HUMAN_{g}'].X.A.ravel(), rna.X.sum(axis=1).A.ravel()) for g in mapping['CD3'] })
with open('cbmc-cd3-fits.pkl', 'wb') as f: pickle.dump(fits, f)
Plot the fitted expression and observation models against the observed data.
N = prot.shape[0] plt.clf() fig, ax = plt.subplots(2, 4) fig.set_size_inches(7, 4) y = prot[:,prot.var['gene'] == 'CD3'].X.A.ravel() s = prot.X.sum(axis=1).A.ravel() ax[0][0].hist(y, bins=30, color='k') ax[0][0].set_title('CD3 (protein)') grid = np.linspace(0, (y / s).max(), 1000) F = ashr.cdf_ash(fits['CD3'], grid).rx2('y').ravel() ax[1][0].plot(grid[:-1], np.diff(F), lw=1, c='k') s = rna.X.sum(axis=1).A.ravel() for g, a, b in zip(mapping['CD3'], ax[0][1:], ax[1][1:]): x = rna[:,rna.var['gene'] == f'HUMAN_{g}'].X.A.ravel() a.hist(x, bins=np.arange(x.max() + 1), color='k') a.set_title(f'{g} (mRNA)') grid = np.linspace(0, (x / s).max(), 1000) F = sp.expit(fits[f'HUMAN_{g}'][2]) * st.gamma(a=np.exp(fits[f'HUMAN_{g}'][1]), scale=np.exp(fits[f'HUMAN_{g}'][1] - fits[f'HUMAN_{g}'][0])).pdf(grid) F[0] += sp.expit(-fits[f'HUMAN_{g}'][2]) b.plot(grid, F, lw=1, c='k') for a, l in zip(ax[:,0], ['Number of cells', 'Density']): a.set_ylabel(l) for a, b in zip(ax[0], ax[1]): a.set_xlabel('Number of molecules') b.set_xlabel('Latent expression level') fig.tight_layout()


Evaluates contents of a file.
execfile (filename[, globals[, locals]])
#TODO
#TODO
This function is similar to the exec statement, but parses a file instead of a string. It is different from the import statement in that it does not use the module administration — it reads the file unconditionally and does not create a new module. Remember that at module level, globals and locals are the same dictionary. If two separate objects are passed as globals and locals, the code will be executed as if it were embedded in a class definition.
If the locals dictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where execfile() is called. The return value is None.
The default locals act as described for function locals() below: modifications to the default locals dictionary should not be attempted. Pass an explicit locals dictionary if you need to see effects of the code on locals after function execfile() returns. execfile() cannot be used reliably to modify a function’s locals.
>>> execfile(r'C:\test.py') #test.py contains the following line: 'print "foo"'
foo
#TODO


Hi! {{ name }} , Thanks, for shopping with us. As promised, here is a comfirmation of your order. We hope to do business with you again in the near future.
Order ID: {{ order.id }}
Order Date: {{ order.date }}
| Items Ordered | ||
|---|---|---|
| {{ order_item.title }} | {{ order_item.price }} | {{ order_item.qty }} |
Order Total: {{ order.payment.total }}
Ship Items to: {{ order.address }}


0}"
maxlength="MAX_CHARS_IN_BLOG_POST_TITLE"
minlength="MIN_CHARS_IN_BLOG_POST_TITLE"
aria-label="Title"
(focusout)="updateLocalTitleValue()"
autofocus>
MAX_CHARS_IN_BLOG_POST_TITLE">
Blog Post title should be at most {{MAX_CHARS_IN_BLOG_POST_TITLE}} characters.
Blog Post title should be at least {{MIN_CHARS_IN_BLOG_POST_TITLE}} characters.


{% load hunt_state_tests %} {% if not puzzle|minutesAvailable:30 %}
This is a physical puzzle involving the MYST conference T-shirt. If your team has access to the T-shirt swag, you should feel free to open and solve it now. If you believe any part of your physical puzzle is missing or damaged, or you have not received it even though you ordered it, please contact us immediately using the “Hints” link in the upper-right corner of the page.
A virtual substitute for the physical portion of this puzzle will unlock in {{ puzzle|minutesRemaining:30 }} minutes.
Take the official MYST 2021 T-shirt tour on ClueKeeper! Get the ClueKeeper app, tap Enter Hunt Code, and enter the reusable code GREENTEE to download the T-shirt tour!
{% else %}This is a physical puzzle involving the MYST conference T-shirt. If your team has access to the T-shirt swag, you should feel free to open and solve it now. If you believe any part of your physical puzzle is missing or damaged, please contact us immediately. We have unlocked hints for all physical puzzles for this purpose.
Take the official MYST 2021 T-shirt tour on ClueKeeper! Get the ClueKeeper app, tap Enter Hunt Code, and enter the reusable code GREENTEE to download the T-shirt tour!
If you don't have the physical T-shirt, you can use this image of the T-shirt design instead:
{% endif %}


Harvard University
Located in Massachusetts Cambridge
TOEFL score: 100 IELTS score: 6.5
SAT score: 1470 - 1600 Total annual tuition: $45278
Princeton University
New Jersey Princeton
TOEFL score: 105 IELTS score: not announced
SAT score: 1470 - 1590 Total annual tuition: $43450
Stanford University
Located in California Stanford
TOEFL score: 105 IELTS score: 7.5
SAT score: 1450 - 1590 Total annual tuition: $47331
Massachusetts Institute of Technology
Located in Massachusetts Cambridge
TOEFL score: 90 IELTS score: 7.5
SAT score: 1480 - 1590 Total annual tuition: $48140
University of Oxford
Located in Oxford
IELTS results: 7 TOEFL Requirement: 110
Average acceptance:17% Total annual tuition: £20,721
University of Cambridge
Located in Cambridge
IELTS results: 7.5 TOEFL Requirement: No
Average acceptance: 21% Total annual tuition: £16,062


I am a full-stack web developer with a B.Sc. in Computer Science from the University of British Columbia. I have always had a keen interest in building web apps since I was young, and chose to pursue software engineering as a result. I enjoy the process of collaborating in cross-functional teams with other developers, designers, and product managers in order to create products that fulfills the needs of users. My goal is to build products that can have a positive impact on people's lives.
• Worked on SAP Jam, an enterprise social collaboration web app with 34+ million subscribers
• Full-stack web development with Ruby on Rails, JavaScript (Backbone.js, jQuery), MySQL, Sass
• Implemented workflow for uploading photos, videos, documents from postboxes to newsfeed
• Integrated personal data distributed across multiple tables from external sources
• Developed group admin feature of bulk managing 100,000+ group members simultaneously
• Demoed new features to 70+ member audience; wrote unit (QUnit) & automated tests (Watir)
• Developed responsive web apps in JavaScript (Node.js, Knockout, Promise.js, Angular, Express)
• Visualized energy data (D3.js, Highcharts); integrated utility-specific tracking (Google Analytics)
• Implemented energy dashboard theming for different utilities; created dashboard's landing page
• Wrote JavaScript unit & integration tests (Expect.js, Sinon, Mocha); automated Python tests
• Interviewed 17 applicants for software developer internships in web app & platform teams
• Delivered energy analytics dashboards to 6 energy utilities (BC Hydro, Ergon Energy, etc.)
• Worked on search for tourist attractions (Google Places API); attractions can be bookmarked & converted into events for trips
• Developed event filtering: using search bar, picking calendar date, selecting map marker
• Implemented REST API calls for adding, deleting, editing bookmarks & events
• Implemented offline mode using local persistent storage (Realm DB) which allows users to view trips, bookmarks, events, and transportation details without Internet connection
• Led weekly meetings with HSBC stakeholders who requested the reservation system; appointed as project & development manager; managed team of 6 other developers
• Implemented adding, editing, deleting locations; users can add desks into these locations
• Wrote Mocha tests for operations on locations; interface is mobile-friendly & responsive
• Added zoomable map; system displays a map that corresponds to the floor user selects
• Provided Jam with a conversational voice-enabled interface by integrating Api.ai into Jam
• Text-to-speech summary & UI display of elastic searches performed by user on Jam
• App can parse audible queries from the user & turn them into commands for Jam to act
• Api.ai service has the notion of contexts, so that users can provide follow-up queries for the service to act on (e.g. dismissing a notification that has been read to the user)
• Parsed food truck data from City of Vancouver and plotted their locations on a map
• Users can register, login, and change their profile settings
• View Instagram photos associated with each food truck
• Users can rate food trucks; recommendation system based on users' ratings
• Food trucks searches can be filtered by name, type of food, and radius with specified address
• Web application prototype; allows students to search, create, and join study sessions
• Ran field studies with 16 participants using questionnaires and interviews
• Conducted usability tests with 8 participants; video-recorded observations & interviews
• Ran statistical analysis on the user data using paired t-tests in R
• Med-fidelity prototype; supports users in choosing electives based on skills & interests
• Conducted usability testing (10 users); interviews & video-recorded observations
• Prototype allows users to search for electives & encourages search based on skill profile
• Prototype gives users a preview of how a given course will affect their skill profile
• Designed website's header and icons using Photoshop CS6
• Interviewed clients (Gastown Business Improvement Society)
• Worked within a team of four towards a project to promote businesses in Gastown
• Conducted user research with 29 users (15 oral interviewees, 14 online survey takers)
• Recruited 15 participants as the initial "Humans of Gastown"; interviewed them
• Designed paper prototypes for the UI
• Clinic website with three unique UIs and privileges for doctors, receptionists, patients
• Wrote SQL queries for selecting/projecting, joining, dividing, aggregating
• SQL operations to update, insert, delete information from database
• GUI made with PHP, HTML and CSS (Bootstrap framework)
• Features include: login, checks for valid user inputs, and map using Google Map API
• Collaborated in a group of four through Github
• Parsed live data from Translink service presented in XML and JSON format
• Used GPS to track users within a geographical area; plotted locations of users on a map
• Used live bus info from Translink to determine best bus routes; plotted routes on map
• Implemented a messaging dialogue that allowed users to send and receive messages
• Wrote a robust implementation with appropriate exceptions thrown; created JUnit tests
• Developed application using emulator and Android device


I obtained an ounce of dried Salvia divinorum leaves (Oaxacan wild harvest) on Tuesday, April 25, 2000, and decided to try a small amount on Saturday, April 29 as a test to see if this plant lived up to her reputation.  I was alone except for four 12-week-old kittens who were in and out of the room.
At 9:15 I started to feel a slight strange intoxication. At this time I swallowed the first quid (waste not, want not!) and began another quid. About ten minutes into the second quid I felt a presence in the room, a very large presence, which was moving closer to me. When I closed my eyes I could see a living entity, of no definite shape, a composite plant/animal that was to me more feminine than masculine. This being had tendrils, tentacles, foliage, hands, all in a vast shapeless mass.
The being came closer, emanating great power and pure love. It engulfed me and I surrendered to her, and was in sweet repose in her loving, caring embrace. In the process of surrendering I had what felt like a long, intense orgasm, but without ejaculation. I could not physically talk with this being, only thinking the words 'Thank you!'. The lovingness of her embrace, and of her spirit, was evident. As part of her now, I vowed to extend this love to all.
At this point the four kittens were trying to jump on my lap, and I realized the kittens were also a part of her, pure spirits, wild and free. I had to move to the floor, as I was totally overwhelmed. After a few minutes I found my voice, and whispered Thank You to the Goddess, the Goddess of Life. After a while I was able to walk to the stairs and made my way downstairs, where the incredible love and teachings continued to flash in my mind.
If I never had Salvia divinorum again I would not be unhappy in the least--what I experienced in those minutes will take the rest of my life to integrate. I may not be able to put into words much of what I experienced, and learned, but I will try; the main thing I learned from this experience is to be a loving person, as loving as the Goddess, and to help life in all its forms. I look forward to exploring Salvia more, with respect. It is a powerful, sacred plant, and I'm grateful and fortunate to have met her. I have used powerful synthetic psychotropes in the past, decades ago, and this is the first natural entheogen I have ever used; there is no comparison. This plant is a teacher and a healer, suitable for those who are either pure in heart or who wish to be.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


"""
Auto Profiles Module
A module that contains logic for automatically identifying CT reader profiles from a \
linked database.
"""
from . import confutil
from . import profileutil
from . import imgfetch
import os, sys, pydicom
# Constants
LOCATION = os.path.abspath(os.path.dirname(sys.argv[0]))
CONFPATH = LOCATION + '/config.json'
PROFPATH = LOCATION + '/profiles.json'
CONFIG = {}
[docs]def getSize():
"""Gets size of all images from source"""
# Reload config, in case any changes were made
CONFIG = confutil.openConfig(CONFPATH)
if type(CONFIG) == int:
return -1
else:
size = imgfetch.getSizeOfImages(CONFIG)
return size
#
[docs]def run():
"""Loops through all images and attempts to find new profiles."""
# Reload config, in case any changes were made
CONFIG = confutil.openConfig(CONFPATH)
#Ensuring the profileutil has been initialized
profileutil.init(PROFPATH)
# Checking for good config
if type(CONFIG) == dict:
images = imgfetch.getAllImages(CONFIG)
for image in images:
data = pydicom.dcmread(image)
try:
# Concatenating readerid from attrbs in data
readerid = (
data.StationName+'-'+
data.Manufacturer.upper()+'-'+
data.ManufacturerModelName.upper()+'-'+
data.InstitutionName.upper()
)
# Checking if we don't have this profileid, if so, we create the profile
if profileutil.get(PROFPATH, readerid) == None:
# Assign default profile to new profile and populate
res = profileutil.newProfile(
PROFPATH,
readerid,
data.StationName,
data.Manufacturer,
data.ManufacturerModelName,
data.InstitutionName
)
if res == -1:
print("ERROR: Bad result from profile save. Please consult the log for more details.")
break
# If we don't have all the attributes, skip the image
except AttributeError as e:
print('Attribute Error on image in dataset: ', e)
continue
else:
print('AUTO PROFILE CONFIG ERROR')
return -1


Trump welcomes dog who helped catch Islamic State leader to White House
WASHINGTON (Reuters) - U.S. President Donald Trump welcomed an unusual guest to the White House on Monday - Conan, the military service dog who helped hunt down Islamic State leader Abu Bakr al-Baghdadi.
“This is Conan, right now probably the world’s most famous dog,” said Trump, flanked by his wife Melania, Vice President Mike Pence, Conan and a handler.
“We’re very honored to have had Conan here and to have given Conan a certificate and an award that we’re going to put up in the White House,” Trump told reporters on the steps facing the White House garden.
Baghdadi, an Iraqi who rose from obscurity to declare himself “caliph” of all Muslims as the leader of Islamic State, died last month by detonating a suicide vest after he fled into a dead-end tunnel as elite U.S. special forces closed in.
Marine General Kenneth McKenzie, the commander of U.S. Central Command which oversees American forces in the Middle East, said previously that Baghdadi brought two young children into the tunnel with him. Both children were believed to be under the age of 12 and both were killed, he said.
“Conan is really a hero,” Pence said of the dog who was injured in the operation.


Use Assemble to generate HTML pages from markdown content. Useful for wikis, gh-pages, documentation and blogs or sites with markdown posts.
This is not intended to be "documentation" for Assemble, the content used in this project is for example purposes. So you will learn by browsing the source code, rendered code, and seeing how it renders in the browser.
If you have trouble getting started, please visit the documentation at http://assemble.io, or create an Issue at Assemble's GitHub repo, we're happy to help.
This plugin requires Grunt ~0.4.1
. If you haven't used Grunt before, be sure to check out the Getting Started guide, as it explains how to create a Gruntfile as well as install and use Grunt plugins. Once you're familiar with that process, you may install this plugin with this command:
npm install assemble --save-dev
Once the plugin has been installed, it may be enabled inside your [Gruntfile][Getting Started] with this line of JavaScript:
grunt.loadNpmTasks('assemble');
In your project's Gruntfile, add a section named assemble
to the data object passed into grunt.initConfig()
.
grunt.initConfig({
assemble: {
options: {
// Task-specific options go here.
},
your_target: {
// Target-specific file lists and/or options go here.
}
}
});
grunt.loadNpmTasks('assemble');
grunt.registerTask('default', [
'jshint',
'assemble'
]);
Task targets, files and options may be specified according to the grunt Configuring tasks guide.
You should now be able to run grunt assemble
to build the project.
Visit Assemble's documentation for more information.
In lieu of a formal styleguide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality. Lint and test your code using [grunt][].
(Nothing yet)


We'll predict your Myers-Briggs Type Indicator based off of your tweets.
Overview
The Myers-Briggs Personality Indicator is one of the most accurate personality tests along with many others in scientific literature.
Details
There are 16 personality types based on four categories that the Myers-Briggs test assigns: introversion vs extroversion, sensing vs intuition, thinking vs feeling, and judging vs perceiving.
Method
This personality predictor uses BERT, a state-of-the-art natural language processing model developed by Google.
Team
Our Great Team
Shilpita Biswas
Vividha
Dipanwita Guhathakurta
Get Started
Input your Twitter Handle


Home
Favourites
About Us
Contact us
My Website
Property type:
House
Flat
Apartment
Bangalow
Max Bedrooms:
Min Bedrooms:
Time Added
January - April (2018)
May - August (2018)
September - December (2018)
Anytime
Price Range :


ElixirPerformanceTool v0.1.0 ElixirPerformanceTool View Source
Performance test tool
Provides a function run/2
for doing Performance test.
Link to this section Summary
Functions
Run performance test
Link to this section Functions
Run performance test
Params
- process_num: parallel task number
- max_count: repeating times
Examples
iex> ElixirPerformanceTool.run(10,10)
"0, average_time: 1422.0 ms, time_total: 1422.0 ms"
"2, average_time: 843.0 ms, time_total: 843.0 ms"
"1, average_time: 1969.0 ms, time_total: 1969.0 ms"
"3, average_time: 844.0 ms, time_total: 844.0 ms"
"4, average_time: 844.0 ms, time_total: 844.0 ms"


The Subtlety of the Anti-Israel Narrative
10 Aug 2015The JPF is usually pretty good at spotting anti-Israel biases in the media. Hell, it isn’t really that hard nowadays is it? But today we noticed an anti-Israel phrase that has become so common that we didn’t even realize its implications until now.
The Associated Press reported that after six months of stalling, Indonesia has finally agreed to grant a visa for Israeli Badminton player MIsha Zilberman. Why was this an issue in the first place? They tell us:
Israel does not have formal diplomatic relations with Indonesia and many other Muslim-majority countries,
How many times have you seen this exact sentence repeated in a story relating to Israel and its Muslim neighbors? Countless. This is the standard way in which reporters discuss the non-relations between the world’s many Muslim states and its one Jewish state.
Is this statement technically true? Yes.
Does it tell the true story? No.
The fact of the matter is that Israel would love to have formal diplomatic relations with the world’s many Arab and Muslim countries. The lack of relations isn’t an oversight or a lack of resources. It is a direct consequence of the refusal by the vast majority of those countries to come to terms with Israel’s existence.
Yet the Associated Press, its affiliates and others in the media continue to discuss a mere “lack of relations” as though it were a naturally occurring event with no cause and no solution.
Not only is this a distortion of the facts, but it removes any pressure on these countries to moderate their behavior and recognize reality. When discussing US-Cuban relations, reporters didn’t say there was a “lack of relations” but rather an American embargo in response to threats during the Cold War and Cuba’s horrendous human rights record. Reporting the rupture in relations this way ultimately played a role in forcing both sides to reconsider their actions resulting this year in America beginning to end the embargo (though, sadly, without any reciprocal action by the Cuban government in regards to human rights).
However, since the media merely reports on a “lack of relations” rather than an Arab and Muslim refusal, there is no reason why those states should rethink their policy of rejectionism. But since this rejection has been going on so long it has gained legitimacy as though it were normal.
Until the media changes its tune and tells the world the truth about this aberration of international relations, nothing will change and Israel will continue pay the price.


 Hundreds escaped. FULL STORY
Those flight safety briefings are vital if passengers are to escape in 90 seconds, says CNN's aviation expert Richard Quest. FULL STORY | CRASH ANIMATION | DEADLY ASIANA INCIDENTS
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