Results 71 to 80 of about 2,720,618 (349)

Parameterized Inapproximability Hypothesis under Exponential Time Hypothesis

Symposium on the Theory of Computing
The Parameterized Inapproximability Hypothesis (PIH) asserts that no fixed parameter tractable (FPT) algorithm can distinguish a satisfiable CSP instance, parameterized by the number of variables, from one where every assignment fails to satisfy an ε ...
V. Guruswami, Bingkai Lin, Xuandi Ren, Yican Sun, Kewen Wu   +4 more
semanticscholar   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Review of the second charged-particle transport coefficient code comparison workshop

Physics of Plasmas
We report the results of the second charged-particle transport coefficient code comparison workshop, which was held in Livermore, California on 24–27 July 2023.
L. Stanek, Alina Kononov, S. Hansen, B. Haines, S. Hu, P. Knapp, M. Murillo, L. Stanton, H. Whitley, S. Baalrud, L. J. Babati, A. Baczewski, Mandy Bethkenhagen, A. Blanchet, Raymond C. Clay, K. Cochrane, L. Collins, Amanda Dumi, G. Faussurier, M. French, Z. Johnson, V. Karasiev, Shashikant Kumar, Meghan K. Lentz, Cody A. Melton, K. Nichols, G. Petrov, V. Recoules, R. Redmer, G. Röpke, M. Schörner, N. R. Shaffer, V. Sharma, L. Silvestri, F. Soubiran, Phanish Suryanarayana, M. Tacu, J. Townsend, A. White   +38 more
semanticscholar   +1 more source

Directing the Mobility of Guest Molecules in Nanoporous Materials by Linearly Polarized Light

Advanced Science, EarlyView.
The polarization of light is introduced as a further parameter to dynamically and reversibly control the properties of a photoresponsive nanoporous material. It was used to control the mobility of the guest molecules in the pores of a metal–organic framework.
Taher Al Najjar, Chun Li, Yunzhe Jiang, Anna Mauri, Modan Liu, Abhinav Chandresh, Anemar Bruno Kanj, Dragos Mutruc, Wolfgang Wenzel, Stefan Hecht, Mariana Kozlowska, Lars Heinke   +11 more
wiley   +1 more source

Parameterization of the E-value in G-codes for Different Bioprinters

, 2023
In the bioprinting process, controlling the motion of bioprinters involves a computer-aided design (CAD) model, converting that model into g-code, and transmitting the motion commands to the bioprinters. The g-code file contains information about the motion of the axes and can be generated using various software.
Gabriela Mendes da Rocha Vaz, Luciano Paulino Silva   +1 more
openaire   +1 more source

vEMINR: Ultra‐Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation

Advanced Science, EarlyView.
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang, Jie Huo, Muyu Liu, Chenjie Feng, Yan Zhang, Gang Pan, Wenjia Meng, Renmin Han   +7 more
wiley   +1 more source

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

, 2018
This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity fields.
Azevedo, Vinicius C., Gross, Markus, Kim, Byungsoo, Kim, Theodore, Solenthaler, Barbara, Thuerey, Nils   +5 more
core   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Reusable, set-based selection algorithm for matched control groups

International Journal of Population Data Science, 2017
Aims The wealth of data available in linked administrative datasets offers great potential for research, but researchers face methodological and computational challenges in data preparation, due to the size and complexity of the data.
Daniel Thayer, John W Gregory, Liv Kosnes, Damon Berridge, Martin L Heaven, David V Ford, Keith Lloyd, Ann John   +7 more
doaj   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source