Results 31 to 40 of about 44,866 (226)

Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios [PDF]

Statistical Science, 2017
Exponential-family Random Graph Models (ERGMs) constitute a large statistical framework for modeling sparse and dense random graphs, short- and long-tailed degree distributions, covariates, and a wide range of complex dependencies. Special cases of ERGMs
M. Schweinberger, P. Krivitsky, C. Butts, J. Stewart   +3 more
semanticscholar   +1 more source

Two Optimal Strategies for Active Learning of Causal Models from Interventional Data

, 2013
From observational data alone, a causal DAG is only identifiable up to Markov equivalence. Interventional data generally improves identifiability; however, the gain of an intervention strongly depends on the intervention target, that is, the intervened ...
Alain Hauser, Andersson, Brown, Cai, Chickering, Chvátal, Eberhardt, Eberhardt, Hauser, Hauser, He, Kalisch, Kaplan, Korb, Masegosa, Meganck, Pearl, Peter Bühlmann, Peters, Rose, Rose, Settles, Spirtes, Tong, Verma   +24 more
core   +1 more source

Further Algebraic Algorithms in the Congested Clique Model and Applications to Graph-Theoretic Problems [PDF]

International Symposium on Distributed Computing, 2016
Censor-Hillel et al. [PODC’15] recently showed how to efficiently implement centralized algebraic algorithms for matrix multiplication in the congested clique model, a model of distributed computing that has received increasing attention in the past few ...
F. Gall
semanticscholar   +1 more source

A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations [PDF]

BMC Bioinformatics, 2013
It is well known that the development of cancer is caused by the accumulation of somatic mutations within the genome. For oncogenes specifically, current research suggests that there is a small set of "driver" mutations that are primarily responsible for
Gregory A. Ryslik, Yuwei Cheng, K. Cheung, Y. Modis, Hongyu Zhao   +4 more
semanticscholar   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Representing Space: A Hybrid Genetic Algorithm for Aesthetic Graph Layout [PDF]

, 1998
This paper describes a hybrid Genetic Algorithm (GA) that is used to improve the layout of a graph according to a number of aesthetic criteria.
Hobbs, M.H.W., Rodgers, Peter
core   +1 more source

Beyond Inflammation: Why Understanding the Brain Matters in Inflammatory Arthritis

Arthritis Care &Research, EarlyView.
Persistent pain remains a major challenge in inflammatory arthritis, even when joint inflammation is well controlled. Pain and associated symptoms such as fatigue cannot be explained by peripheral inflammation alone but reflect altered central pain processing. These changes may arise through “top‐down” mechanisms, reflecting pre‐existing dysfunction in
Eoin M. Kelleher, Rosario Meouchi, Anushka Irani   +2 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Evaluation of the Potential of Laser Shock Peening Compared with Cold Expansion for Improving Fatigue Resistance of Riveted Lap Joints of Aerospace Grade 7175 Al Alloy

Advanced Engineering Materials, EarlyView.
This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar, David Osman Busse, Maximilian Sprengel, Domenico Furfari, Marc‐André Nielsen, Guilherme Abreu Faria, Jérémy Epp   +6 more
wiley   +1 more source

Additive Manufacturing of Gradient Stiffness Honeycombs Using Thermoplastic Polyurethane Composite Material Variations

Advanced Engineering Materials, EarlyView.
By combining porous, solid, and carbon fiber‐reinforced thermoplastic polyurethane within a single 3D printed honeycomb structure, this current work achieved precise control over spatial stiffness while ensuring strong interlayer adhesion. The findings demonstrate enhanced energy absorption and densification strain, outperforming traditional uniform ...
Savvas Koltsakidis, Konstantinos Tsongas, Dimitrios Tzetzis   +2 more
wiley   +1 more source