Filter and export

Publications

What is a Publication?
1579 Publications visible to you, out of a total of 1579
MatchTope: A tool to predict the cross reactivity of peptides complexed with Major Histocompatibility Complex I

Abstract

Not specified

Authors: Marcus Fabiano de Almeida Mendes, Marcelo de Souza Bragatte, Priscila Vianna, Martiela Vaz de Freitas, Ina Pöhner, Stefan Richter, Rebecca C. Wade, Francisco Mauro Salzano, Gustavo Fioravanti Vieira

Date Published: 28th Oct 2022

Publication Type: Journal

A simple approach for detecting HLA‐A *02 alleles in archival formalin‐fixed paraffin‐embedded tissue samples and an application example for studying cancer immunoediting

Abstract

Not specified

Authors: Johannes Witt, Saskia Haupt, Aysel Ahadova, Lena Bohaumilitzky, Vera Fuchs, Alexej Ballhausen, Moritz Jakob Przybilla, Michael Jendrusch, Toni T. Seppälä, Daniel Fürst, Thomas Walle, Elena Busch, Georg Martin Haag, Robert Hüneburg, Jacob Nattermann, Magnus von Knebel Doeberitz, Vincent Heuveline, Matthias Kloor

Date Published: 25th Oct 2022

Publication Type: Journal

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 1: Method and case studies

Abstract

Not specified

Authors: Lea Eisenstein, Benedikt Schulz, Ghulam A. Qadir, Joaquim G. Pinto, Peter Knippertz

Date Published: 19th Oct 2022

Publication Type: Journal

Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

Abstract

Not specified

Authors: Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, Lori Levin, Vincent Ng, Massimo Poesio, Michael Strube, Carolyn Rosé

Date Published: 17th Oct 2022

Publication Type: Proceedings

The CODI-CRAC 2022 shared task on anaphora, bridging, and discourse deixis in dialogue

Abstract (Expand)

The CODI-CRAC 2022 Shared Task on Anaphora Resolution in Dialogues is the second edition of an initiative focused on detecting different types of anaphoric relations in conversations of different kinds. … Using five conversational datasets, four of which have been newly annotated with a wide range of anaphoric relations: identity, bridging references and discourse deixis, we defined multiple tasks focusing individually on these key relations. The second edition of the shared task maintained the focus on these relations and used the same datasets as in 2021, but new test data were annotated, the 2021 data were checked, and new subtasks were added. In this paper, we discuss the annotation schemes, the datasets, the evaluation scripts used to assess the system performance on these tasks, and provide a brief summary of the participating systems and the results obtained across 230 runs from three teams, with most submissions achieving significantly better results than our baseline methods.

Authors: Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, Lori Levin, Vincent Ng, Massimo Poesio, Michael Strube, Carolyn Rosé

Date Published: 17th Oct 2022

Publication Type: InProceedings

Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning

Abstract (Expand)

Abstract Analysing large numbers of brain samples can reveal minor, but statistically and biologically relevant variations in brain morphology that provide critical insights into animal behaviour, …into animal behaviour, ecology and evolution. So far, however, such analyses have required extensive manual effort, which considerably limits the scope for comparative research. Here we used micro-CT imaging and deep learning to perform automated analyses of 3D image data from 187 honey bee and bumblebee brains. We revealed strong inter-individual variations in total brain size that are consistent across colonies and species, and may underpin behavioural variability central to complex social organisations. In addition, the bumblebee dataset showed a significant level of lateralization in optic and antennal lobes, providing a potential explanation for reported variations in visual and olfactory learning. Our fast, robust and user-friendly approach holds considerable promises for carrying out large-scale quantitative neuroanatomical comparisons across a wider range of animals. Ultimately, this will help address fundamental unresolved questions related to the evolution of animal brains and cognition. Author Summary Bees, despite their small brains, possess a rich behavioural repertoire and show significant variations among individuals. In social bees this variability is key to the division of labour that maintains their complex social organizations, and has been linked to the maturation of specific brain areas as a result of development and foraging experience. This makes bees an ideal model for understanding insect cognitive functions and the neural mechanisms that underlie them. However, due to the scarcity of comparative data, the relationship between brain neuro-architecture and behavioural variance remains unclear. To address this problem, we developed an AI-based approach for automated analysis of brain images and analysed an unprecedentedly large dataset of honey bee and bumblebee brains. Through this process, we were able to identify previously undescribed anatomical features that correlate with known behaviours, supporting recent evidence of lateralized behaviour in foraging and pollination. Our method is open-source, easily accessible online, user-friendly, fast, accurate, and robust to different species, enabling large-scale comparative analyses across the animal kingdom. This includes investigating the impact of external stressors such as environmental pollution and climate change on cognitive development, helping us understand the mechanisms underlying the cognitive abilities of animals and the implications for their survival and adaptation.

Authors: Philipp D. Lösel, Coline Monchanin, Renaud Lebrun, Alejandra Jayme, Jacob Relle, Jean-Marc Devaud, Vincent Heuveline, Mathieu Lihoreau

Date Published: 17th Oct 2022

Publication Type: Journal

Proceedings of the 3rd Workshop on Computational Approaches to Discourse

Abstract

Not specified

Authors: Chloé Braud, Christian Hardmeier, Junyi Jessy Li, Sharid Loaciga, Michael Strube, Amir Zeldes

Date Published: 16th Oct 2022

Publication Type: Proceedings

Powered by
 (v.1.14.2)
About HITS Publication SEEK | About HITS-Publication-SEEK | Funding and Programmes | Credits
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH