Results 51 to 60 of about 2,891,657 (252)

Terahertz tunable optical dual-functional slow light reflector based on gold-graphene metamaterials

New Journal of Physics, 2020
Tunable terahertz optical dual-functional slow light reflector based on gold-graphene metamaterials has been designed and the proposed structure can achieve a good optical reflection effect and slow light effect.
Hui Xu, Zhiquan Chen, Zhihui He, Guozheng Nie, Deqiong Li   +4 more
doaj   +1 more source

Statistical learning of movement [PDF]

Journal of Vision, 2016
The environment is dynamic, but objects move in predictable and characteristic ways, whether they are a dancer in motion, or a bee buzzing around in flight. Sequences of movement are comprised of simpler motion trajectory elements chained together. But how do we know where one trajectory element ends and another begins, much like we parse words from ...
Joan Danielle Khonghun, Ongchoco, Stefan, Uddenberg, Marvin M, Chun   +2 more
openaire   +2 more sources

Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells

Molecular Oncology, EarlyView.
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son, Lily L. Remsing Rix, Bin Fang, Eric A. Welsh, Nicole V. Bremer, Valentina Foglizzo, Paola Roa, Nickole Sigcha‐Coello, Yi Liao, Eric B. Haura, Alexander Drilon, John M. Koomen, Emiliano Cocco, Uwe Rix   +13 more
wiley   +1 more source

Image masks of global ship tracks for NASA MODIS data products

Scientific Data
Ship tracks, long thin artificial cloud features formed from the pollutants in ship exhaust, are satellite-observable examples of aerosol-cloud interactions (ACI) that can lead to increased cloud albedo and thus increased solar reflectivity, phenomena of
Pierce Warburton, Kurtis Shuler, Jake P. Zenker, Lekha Patel   +3 more
doaj   +1 more source

Enhancing genomic prediction with Stacking Ensemble Learning in Arabica Coffee

Frontiers in Plant Science
Coffee Breeding programs have traditionally relied on observing plant characteristics over years, a slow and costly process. Genomic selection (GS) offers a DNA-based alternative for faster selection of superior cultivars. Stacking Ensemble Learning (SEL)
Moyses Nascimento, Moyses Nascimento, Ana Carolina Campana Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Antonio Carlos Baiao de Oliveira, Eveline Teixeira Caixeta, Diego Jarquin   +7 more
doaj   +1 more source

Transforming Graph Representations for Statistical Relational Learning [PDF]

, 2012
Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of statistical relational ...
Aha, David W., McDowell, Luke K., Neville, Jennifer, Rossi, Ryan A.   +3 more
core  

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Integrating Environmental Covariates into Adaptability and Stability Analyses: A Structural Equation Modeling Approach for Cotton Breeding

Agriculture
Breeding programs rely on genotype-by-environment interaction (GEI) to recommend cultivars for specific locations. GEI describes how different genotypes perform under varying environmental conditions.
Matheus Massariol Suela, Moysés Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Paulo Eduardo Teodoro, Francisco José Correia Farias, Luiz Paulo de Carvalho, Diego Jarquin   +7 more
doaj   +1 more source

Fast rates in statistical and online learning [PDF]

, 2015
The speed with which a learning algorithm converges as it is presented with more data is a central problem in machine learning --- a fast rate of convergence means less data is needed for the same level of performance. The pursuit of fast rates in online
Grünwald, Peter D., Mehta, Nishant A., Reid, Mark D., van Erven, Tim, Williamson, Robert C.   +4 more
core   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source