Results 61 to 70 of about 71,855 (286)

A Public, K-Selected, Optical-to-Near-Infrared Catalog of the Extended Chandra Deep Field South (ECDFS) from the MUltiwavelength Survey by Yale-Chile (MUSYC)

, 2009
We present a new K-selected, optical-to-near-infrared photometric catalog of the Extended Chandra Deep Field South (ECDFS), making it publicly available to the astronomical community.
Baade, Baade, Beckwith, Benítez, Blanc, Blanton, Bolzonella, Brammer, Brown, C. Megan Urry, Chen, Cutri, Daddi, Daddi, David Herrera, Dickinson, Edward N. Taylor, Erben, Eric F. Bell, Eric Gawiser, Ezequiel Treister, Francisco J. Castander, Franx, Förster-Schreiber, Gawiser, Gawiser, Giaconni, Girard, Gregory Rudnick, Gronwall, Guillermo A. Blanc, Hendrik Hildebrandt, Häussler, Ivo Labbé, Jon P. Willis, José Maza, Kriek, L. Felipe Barrientos, Labbé, Lehmer, Maaike Damen, Marijn Franx, Mariska Kriek, McCarthy, Moorwood, Patrick B. Hall, Paulina Lira, Pieter G. van Dokkum, Quadri, Rix, Rudnick, Rudnick, Ryan F. Quadri, Skrutskie, Steidel, Stijn Wuyts, Strolger, Szokoly, Taylor, Treister, Van der Wel, Van der Wel, Vandame, Vanzella ., Violeta Gonzalez-Perez, Virani, Wuyts   +66 more
core   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Annals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt, Dana Leichter, Yann Cobigo, Amy Wolf, John Kornak, Annie Clark, Lucy L. Russell, Arabella Bouzigues, David M. Cash, Martina Bocchetta, Molly Olzinski, Brian Appleby, Ece Bayram, Barbara Borroni, Andrea Bozoki, Chris R. Butler, David Clark, Rhian S. Convery, R. Ryan Darby, Alexandre de Mendonça, Bradford Dickerson, Kimiko Domoto‐Reilly, Simon Ducharme, Eve Ferry‐Bolder, Elizabeth Finger, Phoebe H. Foster, Douglas R. Galasko, Daniela Galimberti, Alexander Gerhard, Nupur Ghoshal, Caroline Graff, Neill Graff‐Radford, Ian M. Grant, Chadwick M. Hales, Lawrence S. Honig, Ging‐Yuek Hsiung, Edward D. Huey, David Irwin, Lize C. Jiskoot, Walter Kremers, Justin Y. Kwan, Robert Laforce, Isabelle Le Ber, Gabriel C. Léger, Johannes Levin, Irene Litvan, Ian R. Mackenzie, Mario Masellis, Mario F. Mendez, Fermin Moreno, Chiadi Onyike, Markus Otto, Belen Pascual, Peter Pressman, Rosa Rademakers, Eliana Marisa Ramos, Aaron Ritter, Erik D. Roberson, James B. Rowe, Raquel Sanchez‐Valle, Isabel Santana, Harro Seelaar, Allison Snyder, Sandro Sorbi, Matthis Synofzik, Maria Carmela Tartaglia, Pietro Tiraboschi, John C. van Swieten, Marijne Vandebergh, Rik Vandenberghe, Hilary W. Heuer, Bruce L. Miller, William W. Seeley, Maria Luisa Gorno‐Tempini, Joel H. Kramer, Leah Forsberg, Kejal Kantarci, Bradley F. Boeve, Adam L. Boxer, Jonathan D. Rohrer, Howard J. Rosen, Adam M. Staffaroni, FTD Prevention Initiative (FPI) investigators   +82 more
wiley   +1 more source

Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

Energies, 2018
Daily peak load forecasting is an important part of power load forecasting. The accuracy of its prediction has great influence on the formulation of power generation plan, power grid dispatching, power grid operation and power supply reliability of power
Shuyu Dai, Dongxiao Niu, Yan Li
doaj   +1 more source

Recombinant Monoclonal Antibodies for Detecting the Tubulin Post‐Translational Modifications Glutamylation and Lysine‐40 Acetylation

Cytoskeleton, EarlyView.
ABSTRACT Post‐translational modifications (PTMs) to tubulin subunits in microtubule filaments are thought to comprise a component of the tubulin code that specifies microtubule functions in cell physiology and animal development. Acetylation of Lysine‐40 (K40) on α‐tubulin (αTub‐K40ac) and glutamylation of both α‐ and β‐tubulin are two tubulin PTMs of ...
Lynne Blasius, Ezekiel C. Thomas, Erik H. Collet, Erin Jenson, Chad G. Pearson, Ryoma Ohi, Kristen J. Verhey   +6 more
wiley   +1 more source

A Thinning Method of Linear And Planar Array Antennas To Reduce SLL of Radiation Pattern By GWO And ICA Algorithms [PDF]

AUT Journal of Electrical Engineering, 2018
In the recent years, the optimization techniques using evolutionary algorithms have been widely used to solve electromagnetic problems. These algorithms use thinning the antenna arrays with the aim of reducing the complexity and thus achieving the ...
H. Rezagholizadeh, D. Gharavian
doaj   +1 more source

Inference of population splits and mixtures from genome-wide allele frequency data [PDF]

, 2012
Many aspects of the historical relationships between populations in a species are reflected in genetic data. Inferring these relationships from genetic data, however, remains a challenging task. In this paper, we present a statistical model for inferring
A Keinan, A RoyChoudhury, AL Price, AR Boyko, BM Henn, BM vonHoldt, BS Weir, C Becquet, D Reich, D Reich, D Reich, DH Huson, DJ Lawson, EY Durand, G Bhatia, G Coop, G Hellenthal, G Liti, G McVean, G Nicholson, GM Lathrop, HG Parker, Hua Tang, I Gronau, J Felsenstein, J Felsenstein, J Felsenstein, J Hey, J Novembre, J Novembre, J Novembre, J Sirén, J Sukumaran, JK Pritchard, JK Pritchard, Jonathan K. Pritchard, Joseph K. Pickrell, JZ Li, K Lindblad-Toh, LL Cavalli-Sforza, LL Cavalli-Sforza, LL Cavalli-Sforza, LL Cavalli-Sforza, LS Kubatko, M Bonhomme, M DeGiorgio, M Jakobsson, M Nei, M Nei, M Rasmussen, MA Beaumont, N Patterson, N Patterson, N Saitou, NA Rosenberg, O François, P Beerli, P Menozzi, P Moorjani, R Nielsen, RE Green, RJ Dyer, RL Cann, RN Gutenkunst, RR Hudson, S Xu, SF Schaffner   +66 more
core   +5 more sources

Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding [PDF]

Computational Intelligence and Neuroscience, 2017
The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time. The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution ...
Linguo Li, Lijuan Sun, Jian Guo, Jin Qi, Bin Xu, Shujing Li   +5 more
openaire   +2 more sources

Parameter estimation of Muskingum model using grey wolf optimizer algorithm

MethodsX, 2021
Flood routing plays a crucial role in prevention of major economic and human losses, which, in this study, has been conducted via both three- and four-constant parameter non-linear Muskingum models for four hydrographs, along with the Grey Wolf Optimizer (GWO) algorithm. Three benchmark examples and a real example (Karun river) were investigated.
Reyhaneh Akbari, Masoud-Reza Hessami-Kermani   +1 more
openaire   +3 more sources

Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang, Klaus Hubacek, Xin Sun, Franco Ruzzenenti   +3 more
wiley   +1 more source

A novel hybrid GWO-SCA approach for optimization problems

Engineering Science and Technology, an International Journal, 2017
Recent trend of research is to hybridize two and several number of variants to find out better quality of solution of practical and recent real applications in the field of global optimization problems.
N. Singh, S.B. Singh
doaj   +1 more source