Results 161 to 170 of about 116,475 (314)

Semiparametric Robust Estimation of Truncated and Censored Regression Models

open access: yes
Many estimation methods of truncated and censored regression models such as the maximum likelihood and symmetrically censored least squares (SCLS) are sensitive to outliers and data contamination as we document.
Cizek, P.
core  

Consistency and robustness of kernel based regression [PDF]

open access: yes
We investigate properties of kernel based regression (KBR) methods which are inspired by the convex risk minimization method of support vector machines.
Christmann, Andreas, Steinwart, Ingo
core  

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

open access: yesAdvanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar   +10 more
wiley   +1 more source

A Novel Approach Based on Acceptor–Donor–Acceptor Type Molecules Enhances the Therapeutic Efficacy and Safety of Photothermal Therapy for Osteosarcoma

open access: yesAdvanced Science, EarlyView.
Jin et al. developed IEICO‐F nanoparticles with enhanced photothermal conversion efficiency via optimized push‐pull effect. Under 808 nm laser, these nanoparticles effectively generated heat to kill osteosarcoma cells and exhibited significant tumor suppression in vivo. Therefore, this novel A‐D‐A type molecule‐based photothermal therapy strategy holds
Zhijian Jin   +9 more
wiley   +1 more source

Does nonlinear econometrics confirm the macroeconomic models of consumption? [PDF]

open access: yes
This article aims at checking whether the macroeconomic models of consumption are always verified to reproduce the dynamics of consumption habits. We show that even if the Keynesian theory of consumption is still checked as the disposable income is a ...
JAWADI Fredj
core  

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

A New Customizable Surfactant LLPS Strategy for Sustainable and Highly Efficient Radioactive Metal Ion Separation

open access: yesAdvanced Science, EarlyView.
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan   +7 more
wiley   +1 more source

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