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Saliency-enhanced infrared and visible image fusion via sub-window variance filter and weighted least squares optimization. [PDF]

PLoS One
Wang P, Li T, Li P.
europepmc +1 more source

Algorithms and literate programs for weighted low-rank approximation with missing data

, 2011
Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
Markovsky, Ivan
core

Bioinspired Co‐Assembly Enables Multiscale Architected Hydrogels for 3D Printing With Integrated Antibacterial and Bioactive Functions

Advanced Functional Materials, EarlyView.
A multicomponent supramolecular hydrogel integrating cell‐adhesive and antibacterial peptides within an alginate‐cellulose nanofibril matrix is developed. Peptide co‐assembly simultaneously strengthens the hydrogel network, improves extrusion printability, and imparts cell‐adhesive and antibacterial functions, offering a versatile platform for ...
Mor Tsuriano‐Zernichov +4 more
wiley +1 more source

Robust Time-Difference-of-Arrival (TDOA) Localization Using Weighted Least Squares with Cone Tangent Plane Constraint. [PDF]

Sensors (Basel), 2018
Jin B, Xu X, Zhang T.
europepmc +1 more source

Boosting Conversion Efficiency in Zn3P2/InP Solar Cells Via Nanoscale Junction Engineering

Advanced Functional Materials, EarlyView.
This study demonstrates the efficacy of selective area epitaxy (SAE) in enhancing the conversion efficiency of a Zn3P2${\rm Zn}_3{\rm P}_2$/InP heterojunction solar cell. The impact of the SAE pattern dimensions on the performance parameters is investigated. Small size opening limits Jsc because of current crowding whereas large size opening limits Voc
Raphael Lemerle +14 more
wiley +1 more source

ADMM-EM Method for L₁-Norm Regularized Weighted Least Squares PET Reconstruction. [PDF]

Comput Math Methods Med, 2016
Teng Y, Sun H, Guo C, Kang Y.
europepmc +1 more source

A robust partial least squares method with applications [PDF]

Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Javier Gonzalez, Daniel Pena, Rosario Romera +2 more
core

Direct Integration of Conductive, Emissive Perovskite Nanocrystals Into Efficient Light‐Emitting Diodes Without Post‐Synthetic Ligand Exchange

Advanced Functional Materials, EarlyView.
We demonstrate the direct integration of CsPbBr3 perovskite nanocrystals (PNCs) into optoelectronic devices without post‐synthetic ligand exchange. This is achieved by synthesizing PNCs stabilized by strong‐binding‐energy oleylammonium–bromide pairs instead of oleate ligands. The resultant low ligand density and minimized surface defects enhance charge
Jigeon Kim +16 more
wiley +1 more source

Functional Differentiation of Type II and Type I Collagen Articular Models in Synovial Fluid Film Formation and Recombinant Equine Lubricin Retention

Advanced Functional Materials, EarlyView.
Collagen II coatings support the formation of synovial fluid nanofilms, while collagen I coatings do not. Both bind recombinant equine lubricin similarly. These findings may help explain articular cartilage surface joint dysfunction, inform biomaterial design for synovial joint repair, and expand on lubricin‐based osteoarthritis therapies.
Diego R. Jaramillo Pinto +12 more
wiley +1 more source

Comparison of SIRT and SQS for Regularized Weighted Least Squares Image Reconstruction. [PDF]

IEEE Trans Comput Imaging, 2015
Gregor J, Fessler JA.
europepmc +1 more source