Results 61 to 70 of about 1,725,137 (297)
Journal of Applied Mathematics, 2013 Corticomuscular activity modeling based on multiple data sets such as electroencephalography (EEG) and electromyography (EMG) signals provides a useful tool for understanding human motor control systems. In this paper, we propose modeling corticomuscular
Xun Chen +3 more
doaj +1 more source
Error analysis of a least squares pseudo-derivative moving least squares method [PDF]
Proyecciones (Antofagasta), 2017 Meshfree methods offer the potential to relieve the scientist from the time consuming grid generation process especially in cases where localized mesh refinement is desired. Moving least squares (MLS) methods are considered such a meshfree technique.
Clack, Jhules +2 more
openaire +3 more sources
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Geomagnetic lunar analysis by least-squares [PDF]
Geophysical Journal International, 1980 Summary. A simple and accurate method is presented for the determination of lunar and solar harmonic terms present in a series of geomagnetic data. It is based on least-squares and incorporates a direct means for determining the confidence limits. The method is tested by applying it to a series of artificially generated data, and comparing the results ...
S. R. C. Malin, D. M. Schlapp
openaire +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
A High-Resolution Spectral Analysis Method Based on Fast Iterative Least Squares Constraints
Applied SciencesThe prediction of reservoir and caprock thickness is important in geological evaluations for site selection for aquifer underground gas storage. Therefore, high-resolution seismic identification of reservoirs and caprocks is crucial. High-resolution time–
Yanyan Ma +4 more
doaj +1 more source
A Risk Comparison of Ordinary Least Squares vs Ridge Regression [PDF]
, 2013 We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data onto a finite dimensional subspace (as specified by a Principal Component Analysis) and then performs an ordinary (un-regularized)
Dean P. Foster +4 more
core +3 more sources
Molecular Oncology, EarlyView.We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala +15 more
wiley +1 more source
Least Squares Shadowing sensitivity analysis of chaotic limit cycle oscillations
, 2014 The adjoint method, among other sensitivity analysis methods, can fail in chaotic dynamical systems. The result from these methods can be too large, often by orders of magnitude, when the result is the derivative of a long time averaged quantity.
Blonigan, Patrick, Hu, Rui, Wang, Qiqi
core +1 more source
Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data [PDF]
, 2005 Partial Least Squares (PLS) is a highly efficient statistical regression technique that is well suited for the analysis of high-dimensional genomic data.
Boulesteix, Anne-Laure +1 more
core +2 more sources