Results 31 to 40 of about 1,256 (79)

Structural Cerebellar and Lateral Frontoparietal Networks are altered in CUD: An SBM Analysis

Addiction Biology, Volume 30, Issue 3, March 2025.
Our study identifies significant structural alterations in brain components, specifically within the Cerebellar and Lateral Frontoparietal networks, in individuals with cocaine use disorder. Using SBM, these findings underscore disruptions in the neural architecture.
Elena Lacomba‐Arnau, Agustín Martínez‐Molina, Alfonso Barrós‐Loscertales   +2 more
wiley   +1 more source

Preferences regarding Disclosure of Risk for Parkinson's Disease in a Population‐based Study

Movement Disorders Clinical Practice, Volume 12, Issue 2, Page 203-209, February 2025.
Abstract Background Preferences for risk disclosure in population‐based studies assessing Parkinson's disease (PD) risk have not been assessed so far. Objectives To examine preferences for risk disclosure in a subset of the European Healthy Brain Aging (HeBA) multicenter study. Methods After a remote PD risk assessment, a structured pilot‐questionnaire
Philipp Mahlknecht, Simon Leiter, Corinne Horlings, Katarína Schwarzová, Iris Egner, Heike Stockner, Kathrin Marini, Christoph Theyer, Laura Zamarian, Atbin Djamshidian, Klaus Seppi, Fernanda Farfan, Alicia Garrido, Soumyabrata Ghosh, Rejko Krüger, Deborah McIntyre, Brit Mollenhauer, Alastair Noyce, Claire Pauly, Daniel F. Pilco‐Janeta, Kavita Rege, Venkata P. Satagopam, Sebastian Schade, Cristina Simonet, Claudia Trenkwalder, Werner Poewe, on behalf of the HeBA Consortium, Gregor Bletzacher, Atbin Djamshidian, Hannah Egger, Iris Egner, Fernanda Farfan, Tobias Fischnaller, Alicia Garrido, Lena Gatterer, Soumyabrata Ghosh, Valentin Groues, Somaye Hajian‐Tilaki, Horst Hakelberg, Beatrice Heim, Sahra Henze, Corinne Horlings, Sonja Jonsdottir, Florian Krismer, Rejko Krüger, Elisabeth Lang, Simon Leiter, Tainá M. Marques, Philipp Mahlknecht, Kathrin Marini, Maria J Marti, Deborah Mcintyre, Brit Mollenhauer, Ulf Nehrbass, Alastair Noyce, Clarissa P. C. Gomes, Claire Pauly, Noelia Peña Arauzo, Daniel F. Pilco‐Janeta, Werner Poewe, Rajesh Rawal, Kavita Rege, Venkata Satagopam, Susanne Scaglione, Sebastian Schade, Sabine Schmitz, Reinhard Schneider, Susana Schnell, Anette Schrag, Katharìna Schwarzovà, Klaus Seppi, Verena Seppi, Raquel Severino, Cristina Simonet, Ruxandra Soare, Maritta Starke, Heike Stockner, Christoph Theyer, Elodie Thiry, Eduardo Tolosa, Claudia Trenkwalder, Olena Tsurkalenko, Ludmilla Vasilev, Carlos Vega, Liliana Vilas Boas, Tamara Wicke, Laura Zamarian   +86 more
wiley   +1 more source

An Evaluation of the X10 Programming Language [PDF]

, 2012
As predicted by Moore\u27s law, the number of transistors on a chip has been doubled approximately every two years. As miraculous as it sounds, for many years, the extra transistors have massively benefited the whole computer industry, by using the extra
Guo, Xiu
core   +1 more source

Circular RNA regulatory role in pathological cardiac remodelling

British Journal of Pharmacology, Volume 182, Issue 2, Page 316-339, January 2025.
Abstract Cardiac remodelling involves structural, cellular and molecular alterations in the heart after injury, resulting in progressive loss of heart function and ultimately leading to heart failure. Circular RNAs (circRNAs) are a recently rediscovered class of non‐coding RNAs that play regulatory roles in the pathogenesis of cardiovascular diseases ...
Alessia Bibi, Monika Bartekova, Shrey Gandhi, Simona Greco, Alisia Madè, Moumita Sarkar, Victoria Stopa, Spyros Tastsoglou, David de Gonzalo‐Calvo, Yvan Devaux, Costanza Emanueli, Artemis G. Hatzigeorgiou, A. Yaël Nossent, Zhichao Zhou, Fabio Martelli, CardioRNA COST Action CA17129 and AtheroNET COST Action CA21153   +15 more
wiley   +1 more source

Model uncertainties in action effects and load bearing capacity calculation in statically indeterminate reinforced concrete structures

Structural Concrete, Volume 25, Issue 6, Page 4219-4239, December 2024.
Abstract For the dimensioning and assessment of structures, it is common practice to compare action effects with sectional resistances. Extensive studies have been performed to quantify the model uncertainty on the resistance side. However, for statically indeterminate systems, the model uncertainty in the calculation of action effects has not been ...
Xhemsi Malja, Alain Nussbaumer, Aurelio Muttoni   +2 more
wiley   +1 more source

StrassenNets: Deep Learning with a Multiplication Budget [PDF]

, 2018
A large fraction of the arithmetic operations required to evaluate deep neural networks (DNNs) consists of matrix multiplications, in both convolution and fully connected layers.
Anandkumar, Animashree, Khanna, Aran, Tschannen, Michael   +2 more
core   +1 more source

Subrank and optimal reduction of scalar multiplications to generic tensors

Journal of the London Mathematical Society, Volume 110, Issue 2, August 2024.
Abstract The subrank of a tensor measures how much a tensor can be diagonalized. We determine this parameter precisely for essentially all (i.e., generic) tensors. Namely, we prove for generic tensors in V⊗V⊗V$V \otimes V \otimes V$ with dim(V)=n$\dim (V) = n$ that the subrank is Θ(n)$\Theta (\sqrt {n})$.
Harm Derksen, Visu Makam, Jeroen Zuiddam
wiley   +1 more source

Modelling dynamical 3D electron diffraction intensities. I. A scattering cluster algorithm

Acta Crystallographica Section A, Volume 80, Issue 2, Page 167-177, March 2024.
A new method is developed for calculating dynamical electron diffraction intensities.Three‐dimensional electron diffraction (3D‐ED) is a powerful technique for crystallographic characterization of nanometre‐sized crystals that are too small for X‐ray diffraction.
Budhika Mendis
wiley   +1 more source

The tensor rank of tensor product of two three-qubit W states is eight

, 2017
We show that the tensor rank of tensor product of two three-qubit W states is not less than eight. Combining this result with the recent result of M. Christandl, A. K. Jensen, and J.
Chen, Lin, Friedland, Shmuel
core  

Discovering faster matrix multiplication algorithms with reinforcement learning. [PDF]

Nature, 2022
Fawzi A, Balog M, Huang A, Hubert T, Romera-Paredes B, Barekatain M, Novikov A, R Ruiz FJ, Schrittwieser J, Swirszcz G, Silver D, Hassabis D, Kohli P.   +12 more
europepmc   +1 more source