Publications

What is a Publication?
1697 Publications visible to you, out of a total of 1697

Abstract

Not specified

Authors: Ashley Jade Ruiter, Ivo Rolf Seitenzahl

Date Published: 1st Dec 2025

Publication Type: Journal

Abstract (Expand)

In dieser Arbeit wird Spearfish, eine neue Methode zur distanzbasierten Inferenz von Genbäumen, entwickelt und getestet. Spearfish verwendet die paarweisen Distanzen der Gensequenzen, sowie die Distanzen der zugehörigen Spezies im Speziesbaum, in einem Clustering-Verfahren, um 10 Genbäume zu rekonstruieren. Der beste wird anschließend mithilfe eines statistischen Evaluierungsverfahrens ausgewählt. Auf allen getesteten simulierten Datensätzen konnte gezeigt werden, dass die von Spearfish inferierten Bäume durchschnittlich eine Distanz von 0,213 zum echten Genbaum besitzen. Damit ist es 2,18-mal genauer als Methoden wie RAxML-NG, welche den Speziesbaum nicht berücksichtigen. Spearfish ist 25,85% ungenauer, aber 49,63% schneller als GeneRax, eine der führenden Methoden, die Genbäume mithilfe ihres Speziesbaumes korrigieren. So kann Spearfish verwendet werden, um Startbäume für GeneRax zu rekonstruieren oder bei goßen Datensätzen sogar zu ersetzen.

Authors: Lukas Knirsch, Benoit Morel, Alexandros Stamatakis

Date Published: 2nd Oct 2025

Publication Type: Bachelor's Thesis

Abstract

Not specified

Author: Abraham Muñiz‐Chicharro

Date Published: 3rd Apr 2025

Publication Type: Doctoral Thesis

Abstract

Not specified

Authors: R. E. Amaro, J. Aqvist, I. Bahar, F. Battistini, A. Bellaiche, D. Beltran, P. C. Biggin, M. Bonomi, G. R. Bowman, R. A. Bryce, G. Bussi, P. Carloni, D. A. Case, A. Cavalli, C. A. Chang, T. E. 3rd Cheatham, M. S. Cheung, C. Chipot, L. T. Chong, P. Choudhary, G. A. Cisneros, C. Clementi, R. Collepardo-Guevara, P. Coveney, R. Covino, T. D. Crawford, M. Dal Peraro, B. L. de Groot, L. Delemotte, M. De Vivo, J. W. Essex, F. Fraternali, J. Gao, J. L. Gelpi, F. L. Gervasio, F. D. Gonzalez-Nilo, H. Grubmuller, M. G. Guenza, H. V. Guzman, S. Harris, T. Head-Gordon, R. Hernandez, A. Hospital, N. Huang, X. Huang, G. Hummer, J. Iglesias-Fernandez, J. H. Jensen, S. Jha, W. Jiao, W. L. Jorgensen, S. C. L. Kamerlin, S. Khalid, C. Laughton, M. Levitt, V. Limongelli, E. Lindahl, K. Lindorff-Larsen, S. Loverde, M. Lundborg, Y. L. Luo, F. J. Luque, C. I. Lynch, A. D. Jr MacKerell, A. Magistrato, S. J. Marrink, H. Martin, J. A. McCammon, K. Merz, V. Moliner, A. J. Mulholland, S. Murad, A. N. Naganathan, S. Nangia, F. Noe, A. Noy, J. Olah, M. L. O'Mara, M. J. Ondrechen, J. N. Onuchic, A. Onufriev, S. Osuna, G. Palermo, A. R. Panchenko, S. Pantano, C. Parish, M. Parrinello, A. Perez, T. Perez-Acle, J. R. Perilla, B. M. Pettitt, A. Pietropaolo, J. P. Piquemal, A. B. Poma, M. Praprotnik, M. J. Ramos, P. Ren, N. Reuter, A. Roitberg, E. Rosta, C. Rovira, B. Roux, U. Rothlisberger, K. Y. Sanbonmatsu, T. Schlick, A. K. Shaytan, C. Simmerling, J. C. Smith, Y. Sugita, K. Swiderek, M. Taiji, P. Tao, D. P. Tieleman, I. G. Tikhonova, J. Tirado-Rives, I. Tunon, M. W. van der Kamp, D. van der Spoel, S. Velankar, G. A. Voth, R. Wade, A. Warshel, V. V. Welborn, S. D. Wetmore, T. J. Wheeler, C. F. Wong, L. W. Yang, M. Zacharias, M. Orozco

Date Published: 2nd Apr 2025

Publication Type: Journal

Abstract (Expand)

The digitisation of historical documents, particularly those containing tabular data, is becoming increasingly critical for the preservation of information and analysis of long-term trends. However, this task presents significant challenges, particularly with semi-formal documents like handwritten records, which often need more consistent structure. This paper addresses the challenge of developing an automated approach for transcribing historical handwritten tables. Our presented method works on a mixture of computer vision tools and optical character recognition (OCR) to detect the grid and content of the table. The dataset we collected contains records from beekeepers, consisting of hive weight gain and loss and meteorological conditions. The Institute of Bee Protection at JKI gathered this information from the German beekeeper associations of Lower Saxony, Hesse, Mecklenburg-Vorpommern, Thuringia, and Brandenburg in Germany within the collaborative research project MonViA. This data is crucial for understanding the impact of climate change on bee vitality and contains daily information from each beekeeper over decades, holding valuable insights into past environmental conditions. The success rate of automatically transcribed hive scale data from Lower Saxony was compared with the accuracy of transcription done by human power. Our dataset of 14\,738 handwritten scans, out of which 3819 were manually digitised, provides a large ground truth for future research, paving the way for further exploration and uncovering other historical knowledge.

Authors: Lukrécia Mertová, Severin Polreich, Oleg Lewkovski, Wolfgang Müller

Date Published: 13th Mar 2025

Publication Type: InProceedings

Abstract

Not specified

Authors: André Victor Ribeiro Amaral, Daniel Wolffram, Paula Moraga, Johannes Bracher

Date Published: 3rd Mar 2025

Publication Type: Journal

Abstract (Expand)

In the third APOKASC catalog, we present data for the complete sample of 15,808 evolved stars with APOGEE spectroscopic parameters and Kepler asteroseismology. We used 10 independent asteroseismic analysis techniques and anchor our system on fundamental radii derived from Gaia L and spectroscopic Teff. We provide evolutionary state, asteroseismic surface gravity, mass, radius, age, and the data used to derive them for 12,418 stars. This includes 10,036 exceptionally precise measurements, with median fractional uncertainties in ν max, Δ ν, mass, radius, and age of 0.6%, 0.6%, 3.8%, 1.8%, and 11.1%, respectively. We provide more limited data for 1624 additional stars that either have lower-quality data or are outside of our primary calibration domain. Using lower red giant branch (RGB) stars, we find a median age for the chemical thick disk of 9.14 ± 0.05(ran) ± 0.9(sys) Gyr with an age dispersion of 1.1 Gyr, consistent with our error model. We calibrate our red clump (RC) mass loss to derive an age consistent with the lower RGB and provide asymptotic GB and RGB ages for luminous stars. We also find a sharp upper-age boundary in the chemical thin disk. We find that scaling relations are precise and accurate on the lower RGB and RC, but they become more model dependent for more luminous giants and break down at the tip of the RGB. We recommend the use of multiple methods, calibration to a fundamental scale, and the use of stellar models to interpret frequency spacings.

Authors: Marc H. Pinsonneault, Joel C. Zinn, Jamie Tayar, Aldo Serenelli, Rafael A. García, Savita Mathur, Mathieu Vrard, Yvonne P. Elsworth, Benoit Mosser, Dennis Stello, Keaton J. Bell, Lisa Bugnet, Enrico Corsaro, Patrick Gaulme, Saskia Hekker, Marc Hon, Daniel Huber, Thomas Kallinger, Kaili Cao, Jennifer A. Johnson, Bastien Liagre, Rachel A. Patton, Ângela R. G. Santos, Sarbani Basu, Paul G. Beck, Timothy C. Beers, William J. Chaplin, Katia Cunha, Peter M. Frinchaboy, Léo Girardi, Diego Godoy-Rivera, Jon A. Holtzman, Henrik Jönsson, Szabolcs Mészáros, Claudia Reyes, Hans-Walter Rix, Matthew Shetrone, Verne V. Smith, Taylor Spoo, Keivan G. Stassun, Ji Wang

Date Published: 5th Feb 2025

Publication Type: Journal

Powered by
(v.1.16.0)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH