Results 131 to 140 of about 1,117,435 (318)
Robust regression in Stata. [PDF]
In regression analysis, the presence of outliers in the data set can strongly distort the classical least squares estimator and lead to unreliable results.
Croux, Christophe, Verardi, Vincenzo
core
Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer
Advanced Functional Materials, EarlyView.Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero +12 more
wiley +1 more source
Robust exponential smoothing of multivariate time series. [PDF]
Multivariate time series may contain outliers of different types. In presence of such outliers, applying standard multivariate time series techniques becomes unreliable. A robust version of multivariate exponential smoothing is proposed.
Croux, Christophe +2 more
core
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
Advanced Functional Materials, EarlyView.A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
Efficient algorithms for mining outliers from large data sets
ACM SIGMOD Conference, 2000 S. Ramaswamy, R. Rastogi, Kyuseok Shim
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.The use of continuous drop‐based force and energy probing methods is introduced to evaluate in situ chemical degradation of super liquid‐repellent surfaces by caustic liquids. By tracking the velocity of rolling drops and energy dissipation of impacting drops, degradation dynamics are resolved under high spatio‐temporal precision. Using this technique,
Parham Koochak +2 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk +3 more
wiley +1 more source
An Object-Oriented Framework for Statistical Simulation: The R Package simFrame
Journal of Statistical Software, 2010 Simulation studies are widely used by statisticians to gain insight into the quality of developed methods. Usually some guidelines regarding, e.g., simulation designs, contamination, missing data models or evaluation criteria are necessary in order to ...
Andreas Alfons +2 more
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