Zobrazeno 1 - 10
of 127
pro vyhledávání: '"M. Niklas"'
Autor:
Cuapio, Angelica, Boulouis, Caroline, Filipovic, Iva, Wullimann, David, Kammann, Tobias, Parrot, Tiphaine, Chen, Puran, Akber, Mira, Gao, Yu, Hammer, Quirin, Strunz, Benedikt, P��rez Potti, Andr��, Rivera Ballesteros, Olga, Lange, Joshua, Muvva, Jagadeeswara Rao, Bergman, Peter, Blennow, Ola, Hansson, Lotta, Mielke, Stephan, Nowak, Piotr, S��derdahl, Gunnar, ��sterborg, Anders, Smith, C. I. Edvard, Bogdanovic, Gordana, Muschiol, Sandra, Hellgren, Fredrika, Lor��, Karin, Sobkowiak, Michal J., Gabarrini, Giorgio, Healy, Katie, S��llberg Chen, Margaret, Alici, Evren, Bj��rkstr��m, Niklas K., Buggert, Marcus, Ljungman, Per, Sandberg, Johan K., Aleman, Soo, Ljunggren, Hans-Gustaf
Additional file 2: Figure S1. Gating strategy for flow cytometry analysis, related to Figs. 1���4. A Gating strategy for phenotypic identification of lymphocytic and monocytic cell populations and subsets by flow cytometry in peripheral blood.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aa4aaaa0fc3c3ef713055d3cc81696d
Additional file 2. Appendix S1. List of taxon names, distributions, DNA voucher information (including area and year of collection), lab identity numbers, and accession numbers for sequences used in the analyses. Appendix S2. Primer information.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37e6a845c5b896059249a3416a51b5da
Additional file 1: Fig. S1. Maximum likelihood analysis of plastid data (ndhC-ndhK, rbcL, rpoC1, ycf1, ycf66, and trnVUAC and its subsequent spacer). Bootstrap support values and Bayesian posterior probabilities (as estimated in a separate analysis i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15c445960ab275144085c1f18c397e7f
Autor:
Cuapio, Angelica, Boulouis, Caroline, Filipovic, Iva, Wullimann, David, Kammann, Tobias, Parrot, Tiphaine, Chen, Puran, Akber, Mira, Gao, Yu, Hammer, Quirin, Strunz, Benedikt, P��rez Potti, Andr��, Rivera Ballesteros, Olga, Lange, Joshua, Muvva, Jagadeeswara Rao, Bergman, Peter, Blennow, Ola, Hansson, Lotta, Mielke, Stephan, Nowak, Piotr, S��derdahl, Gunnar, ��sterborg, Anders, Smith, C. I. Edvard, Bogdanovic, Gordana, Muschiol, Sandra, Hellgren, Fredrika, Lor��, Karin, Sobkowiak, Michal J., Gabarrini, Giorgio, Healy, Katie, S��llberg Chen, Margaret, Alici, Evren, Bj��rkstr��m, Niklas K., Buggert, Marcus, Ljungman, Per, Sandberg, Johan K., Aleman, Soo, Ljunggren, Hans-Gustaf
Additional file 1: Table S1. List of reagents used in the present study. Table S2. Antibodies used for Panel 1. Table S3. Antibodies used for Panel 2.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b16967f65d2f00441fea8ee11296e63
Autor:
Lundstr��m, Niklas L. P.
We characterize lower growth estimates for subsolutions in halfspaces of fully nonlinear partial differential equations on the form $$ F(x,u,Du,D^2u) = 0 $$ in terms of solutions to ordinary differential equations built solely upon a growth assumptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84244b7c437f8bdc87c317e272bd3aa4
http://arxiv.org/abs/2101.09726
http://arxiv.org/abs/2101.09726
Autor:
Armengaud, Eric, Frager, Sebastian, Jones, Stephen, Massoner, Alexander, Parrilla, Alejandro Ferreira, Wikstr��m, Niklas, Macher, Georg
Increasingly sophisticated function development is taking place with the aim of developing efficient, safe and increasingly Automated Driving Functions. This development is possible with the use of diverse data from sources such as Navigation Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eca6067b9da2d9647383a016204f783
http://arxiv.org/abs/1906.10009
http://arxiv.org/abs/1906.10009
Autor:
M. Niklas, G. Reichart
Publikováno v:
ELIV 2019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8597ac4810afb877468a6a9d9f68d5d0
https://doi.org/10.51202/9783181023570-493
https://doi.org/10.51202/9783181023570-493
In this paper, we provide an extensive evaluation of the performance of local descriptors for tracking applications. Many different descriptors have been proposed in the literature for a wide range of application in computer vision such as object rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ad24620f63b39e13294c71db065daf8
http://arxiv.org/abs/1607.06178
http://arxiv.org/abs/1607.06178
Autor:
Br��nnstr��m, Niklas, Persson, Leif ��
We consider a bilevel optimatisation method for inverse linear atmospheric dispersion problems where both linear and non-linear model parameters are to be determined. We propose that a smooth weighted Mahalanobis distance function is used and derive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f62924e726e4a6ff3f5baa160204bbfc