Publications

Interpersonal attunement in social interactions: from collective psychophysiology to inter-personalized psychiatry and beyond
Dimitris Bolis
Leonhard Schilbach
In this article, we analyse social interactions, drawing on diverse points of views, ranging from dialectics, second-person neuroscience and… (see more) enactivism to dynamical systems, active inference and machine learning. To this end, we define interpersonal attunement as a set of multi-scale processes of building up and materializing social expectations—put simply, anticipating and interacting with others and ourselves. While cultivating and negotiating common ground, via communication and culture-building activities, are indispensable for the survival of the individual, the relevant multi-scale mechanisms have been largely considered in isolation. Here, collective psychophysiology, we argue, can lend itself to the fine-tuned analysis of social interactions, without neglecting the individual. On the other hand, an interpersonal mismatch of expectations can lead to a breakdown of communication and social isolation known to negatively affect mental health. In this regard, we review psychopathology in terms of interpersonal misattunement, conceptualizing psychiatric disorders as disorders of social interaction, to describe how individual mental health is inextricably linked to social interaction. By doing so, we foresee avenues for an inter-personalized psychiatry, which moves from a static spectrum of disorders to a dynamic relational space, focusing on how the multi-faceted processes of social interaction can help to promote mental health. This article is part of the theme issue ‘Concepts in interaction: social engagement and inner experiences’.
Characterization Of Inpaint Residuals In Interferometric Measurements of the Epoch Of Reionization
Michael Pagano
Jing Liu
Adrian Liu
Nicholas S Kern
Aaron Ewall-Wice
Philip Bull
Robert Pascua
Zara Abdurashidova
Tyrone Adams
James E Aguirre
Paul Alexander
Zaki S Ali
Rushelle Baartman
Yanga Balfour
Adam P Beardsley
Gianni Bernardi
Tashalee S Billings
Judd D Bowman
Richard F Bradley … (see 58 more)
Jacob Burba
Steven Carey
Chris L Carilli
Carina Cheng
David R DeBoer
Eloy de Lera Acedo
Matt Dexter
Joshua S Dillon
Nico Eksteen
John Ely
Nicolas Fagnoni
Randall Fritz
Steven R Furlanetto
Kingsley Gale-Sides
Brian Glendenning
Deepthi Gorthi
Bradley Greig
Jasper Grobbelaar
Ziyaad Halday
Bryna J Hazelton
Jacqueline N Hewitt
Jack Hickish
Daniel C Jacobs
Austin Julius
MacCalvin Kariseb
Joshua Kerrigan
Piyanat Kittiwisit
Saul A Kohn
Matthew Kolopanis
Adam Lanman
Paul La Plante
Anita Loots
David Harold Edward MacMahon
Lourence Malan
Cresshim Malgas
Keith Malgas
Bradley Marero
Zachary E Martinot
Andrei Mesinger
Mathakane Molewa
Miguel F Morales
Tshegofalang Mosiane
Abraham R Neben
Bojan Nikolic
Hans Nuwegeld
Aaron R Parsons
Nipanjana Patra
Samantha Pieterse
Nima Razavi-Ghods
James Robnett
Kathryn Rosie
Peter Sims
Craig Smith
Hilton Swarts
Nithyanandan Thyagarajan
Pieter van Wyngaarden
Peter K G Williams
Haoxuan Zheng
To mitigate the effects of Radio Frequency Interference (RFI) on the data analysis pipelines of 21cm interferometric instruments, numerous i… (see more)npaint techniques have been developed. In this paper we examine the qualitative and quantitative errors introduced into the visibilities and power spectrum due to inpainting. We perform our analysis on simulated data as well as real data from the Hydrogen Epoch of Reionization Array (HERA) Phase 1 upper limits. We also introduce a convolutional neural network that is capable of inpainting RFI corrupted data. We train our network on simulated data and show that our network is capable at inpainting real data without requiring to be retrained. We find that techniques that incorporate high wavenumbers in delay space in their modeling are best suited for inpainting over narrowband RFI. We show that with our fiducial parameters Discrete Prolate Spheroidal Sequences (DPSS) and CLEAN provide the best performance for intermittent RFI while Gaussian Progress Regression (GPR) and Least Squares Spectral Analysis (LSSA) provide the best performance for larger RFI gaps. However we caution that these qualitative conclusions are sensitive to the chosen hyperparameters of each inpainting technique. We show that all inpainting techniques reliably reproduce foreground dominated modes in the power spectrum. Since the inpainting techniques should not be capable of reproducing noise realizations, we find that the largest errors occur in the noise dominated delay modes. We show that as the noise level of the data comes down, CLEAN and DPSS are most capable of reproducing the fine frequency structure in the visibilities.
8-channel Tx dipole and 20-channel Rx loop coil array for MRI of the cervical spinal cord at 7 Tesla
Nibardo Lopez Rios
Kyle M. Gilbert
Daniel Papp
Gaspard Cereza
Alexandru Foias
D. Rangaprakash
Markus W. May
Bastien Guerin
Lawrence L. Wald
Boris Keil
Jason P. Stockmann
Robert L. Barry
Restoring the missing person to personalized medicine and precision psychiatry
Ana Gómez-Carrillo
Vincent Paquin
Laurence J. Kirmayer
A Text-guided Protein Design Framework
Shengchao Liu
Yutao Zhu
Jiarui Lu
Zhao Xu
Weili Nie
Anthony James Gitter
Chaowei Xiao
Hongyu Guo
Animashree Anandkumar
Understanding metric-related pitfalls in image analysis validation
Annika Reinke
Minu Dietlinde Tizabi
Michael Baumgartner
Matthias Eisenmann
Doreen Heckmann-Notzel
A. Emre Kavu
Tim Radsch
Carole H. Sudre
Laura C. Acion
Michela Antonelli
Spyridon Bakas
Allison Benis
Arriel Benis
Matthew Blaschko
Florian Buettner
Florian Buttner
M. Jorge Cardoso
Veronika Cheplygina
Jianxu Chen … (see 62 more)
Evangelia Christodoulou
Beth A. Cimini
Gary S. Collins
Keyvan Farahani
Luciana Ferrer
Adrian Galdran
Bram van Ginneken
Ben Glocker
Patrick Godau
Robert Cary Haase
Daniel A. Hashimoto
Michael M. Hoffman
Merel Huisman
Fabian Isensee
Pierre Jannin
Charles E. Kahn
Dagmar Kainmueller
Bernhard Kainz
A. Karargyris
Alan Karthikesalingam
H. Kenngott
Jens Kleesiek
Florian Kofler
Thijs Kooi
Annette Kopp-Schneider
Michal Kozubek
Anna Kreshuk
Tahsin Kurc
Bennett A. Landman
G. Litjens
Amin Madani
Klaus Maier-Hein
Anne L. Martel
Peter Mattson
Erik H. W. Meijering
Bjoern Menze
K. Moons
Henning Müller
Brennan Nichyporuk
Felix Nickel
Jens Petersen
Susanne M. Rafelski
Nasir M. Rajpoot
Mauricio Reyes
Michael A. Riegler
Nicola Rieke
Julio Saez-Rodriguez
Ben Van Calster
Clara I. Sánchez
Shravya Jaganath Shetty
Ziv R Yaniv
M. Smeden
Ronald M. Summers
Abdel Aziz Taha
Aleksei Tiulpin
Sotirios A. Tsaftaris
B. Calster
Gael Varoquaux
Manuel Wiesenfarth
Ziv Rafael Yaniv
Paul F. Jäger
Lena Maier-Hein
Spectroscopy of CASSOWARY gravitationally-lensed galaxies in SDSS: characterisation of an extremely bright reionization-era analog at z = 1.42
Ramesh Mainali
Daniel P Stark
Tucker Jones
Richard S Ellis
Jane R Rigby
We present new observations of sixteen bright (r = 19 − 21) gravitationally lensed galaxies at z ≃ 1 − 3 selected from the CASSOWARY s… (see more)urvey. Included in our sample is the z = 1.42 galaxy CSWA-141, one of the brightest known reionization-era analogs at high redshift (g=20.5), with a large sSFR (31.2 Gyr−1) and an [OIII]+Hβ equivalent width (EW[OIII] + Hβ=730 Å) that is nearly identical to the average value expected at z ≃ 7 − 8. In this paper, we investigate the rest-frame UV nebular line emission in our sample with the goal of understanding the factors that regulate strong CIII] emission. Whereas most of the sources in our sample show weak UV line emission, we find elevated CIII] in the spectrum of CSWA-141 (EWCIII]=4.6±1.9 Å) together with detections of other prominent emission lines (OIII], Si III], Fe II⋆, Mg II). We compare the rest-optical line properties of high redshift galaxies with strong and weak CIII] emission, and find that systems with the strongest UV line emission tend to have young stellar populations and nebular gas that is moderately metal-poor and highly ionized, consistent with trends seen at low and high redshift. The brightness of CSWA-141 enables detailed investigation of the extreme emission line galaxies which become common at z > 6. We find that gas traced by the CIII] doublet likely probes higher densities than that traced by [OII] and [SII]. Characterisation of the spectrally resolved Mg II emission line and several low ionization absorption lines suggests neutral gas around the young stars is likely optically thin, potentially facilitating the escape of ionizing radiation.
DeltaShield: Information Theory for Human- Trafficking Detection
Catalina Vajiac
Meng-Chieh Lee
Aayushi Kulshrestha
Sacha Lévy
Namyong Park
Andreas Olligschlaeger
Cara Jones
Christos Faloutsos
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
Hadi Nekoei
Akilesh Badrinaaraayanan
Amit Sinha
Mohammad Amin Amini
Janarthanan Rajendran
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions (preprint)
Dirk Douwes-Schultz
Alexandra M. Schmidt
Yannan Shen
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
Federica Granese
Marco Romanelli
Siddharth Garg
AmbieGen tool at the SBST 2022 Tool Competition
Dmytro Humeniuk
Giuliano Antoniol
AmbieGen is a tool for generating test cases for cyber-physical systems (CPS). In the context of SBST 2022 CPS tool competition, it has been… (see more) adapted to generating virtual roads to test a car lane keeping assist system. AmbieGen leverages a two objective NSGA-II algorithm to produce the test cases. It has achieved the highest final score, accounting for the test case efficiency, effectiveness and diversity in both testing configurations.