Jaulin, Luc
In this paper, we propose a new approach to compute the projection of a set defined by polynomial equations. It assumes that the polynomial equations have some nice symmetries and that a solution of the projection problem is already available in the case where the variables along which we project are all positive. A new interval-based algorithm whi...
Jain, Yash Raj Callaway, Frederick Griffiths, Thomas L Dayan, Peter He, Ruiqi Krueger, Paul M Lieder, Falk
Published in
Behavior research methods
One of the most unique and impressive feats of the human mind is its ability to discover and continuously refine its own cognitive strategies. Elucidating the underlying learning and adaptation mechanisms is very difficult because changes in cognitive strategies are not directly observable. One important domain in which strategies and mechanisms ar...
boggio, mattia novara, carlo taragna, michele
A huge research effort is being spent worldwide by automotive companies and academic institutions for developing vehicles with high levels of autonomy, ranging from advanced driving-assisted systems to fully automated vehicles. Nonlinear Model Predictive Control (NMPC) has the potential to become a key technology in this context, thanks to its capa...
Nikolopoulos, Christos Eden, Michael Muntean, Adrian
We report on a reaction-diffusion model posed on multiple spatial scales that accounts for diffusion, aggregation, fragmentation, and deposition of populations of colloidal particles. The model is able to account for the heterogeneity of the internal porous structure of the layer. For simplicity, we represent the microstructures as discs with presc...
Nair, Vipul Hemeren, Paul Vignolo, Alessia Noceti, Nicoletta Nicora, Elena Sciutti, Alessandra Rea, Francesco Billing, Erik Bhatt, Mehul Odone, Francesca
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This paper investigates the role that kinematic features play in human action similarity judgments. The results of three experiments with human participants are compared with the computational model that solves the same task. The chosen model has its roots in developmental robotics and performs action classification based on learned kinematic primi...
Titeca, Charlotte; 137756; De Proft, Frank; Jagau, Thomas-C; 136282;
The charge stabilization method has often been used before for obtaining energies of temporary anions. Herein, we combine this method for the first time with conceptual density functional theory (DFT) and quantum theory of atoms in molecules by extending it to the study of nuclear Fukui functions, atom-condensed electronic Fukui functions, and bond...
Gull, Nicole Jones, Michelle R Peng, Pei-Chen Coetzee, Simon G Silva, Tiago C Plummer, Jasmine T Reyes, Alberto Luiz P Davis, Brian D Chen, Stephanie S Lawrenson, Kate
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BackgroundLittle is known about the role of global DNA methylation in recurrence and chemoresistance of high grade serous ovarian cancer (HGSOC).MethodsWe performed whole genome bisulfite sequencing and transcriptome sequencing in 62 primary and recurrent tumors from 28 patients with stage III/IV HGSOC, of which 11 patients carried germline, pathog...
Perrero, Jessica Enrique-Romero, Joan Ferrero, Stefano Ceccarelli, Cecilia Podio, Linda Codella, Claudio Rimola, Albert Ugliengo, Piero
Published in
The Astrophysical Journal
Binding energies (BEs) are one of the most important parameters for astrochemical modeling determining, because they govern whether a species stays in the gas phase or is frozen on the grain surfaces. It is currently known that, in the denser and colder regions of the interstellar medium, sulfur is severely depleted in the gas phase. It has been su...
Ogbadoyi, Emmanuel O Umar, Ndagi
Published in
Frontiers in Drug Discovery
The disease which is today known as COVID-19 is caused by severe acute respiratory. Syndrome coronavirus 2 (SARS-COV-2), was first reported in Wuhan, China in December 2019. The disease has claimed well over six million lives from over 500 million cases. Vaccine hesitancy militates against successful mass vaccination. There is the rapid emergence o...
Verburgt, Jacob Zhang, Zicong Kihara, Daisuke
Published in
Methods (San Diego, Calif.)
Intrinsically Disordered Proteins (IDPs) are a class of proteins in which at least some region of the protein does not possess any stable structure in solution in the physiological condition but may adopt an ordered structure upon binding to a globular receptor. These IDP-receptor complexes are thus subject to protein complex modeling in which comp...