Results 151 to 160 of about 116,475 (314)
Linear versus nonlinear causalityfor dax companies [PDF]
This study provides empirical evidence of the joint dynamics between stock returns and trading volume using stock data for DAX companies. Our research confirms the hypothesis that traditional linear causality tests often fail to detect some kinds of ...
Henfryk Gurgul, lukasz Lach
core
A supramolecular nanocomplex based on phenolic‐modified silk sericin is developed to deliver antioxidant enzymes across the blood–brain barrier and escape lysosomal degradation. This dual‐barrier‐crossing system reduces neuroinflammation and improves cognitive performance in Alzheimer's disease mouse model, offering a promising strategy for protein ...
Doudou Hu +5 more
wiley +1 more source
Estimation and model specification testing in nonparametric and semiparametric econometric models
This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
King, Maxwell, Gao, Jiti
core
General Framework for Nonlinear Functional Regression with Reproducing Kernel Hilbert Spaces
In this paper, we discuss concepts and methods of nonlinear regression for functional data. The focus is on the case where covariates and responses are functions. We present a general framework for modelling functional regression problem in the Reproducing Kernel Hilbert Space (RKHS).
Kadri, Hachem +4 more
openaire +1 more source
Generalized nonlinear percentile regression using asymmetric maximum likelihood estimation
Juhee Lee, Young Min Kim
openaire +2 more sources
Discovery of a Potent Fluorescence Polarization Probe for Identifying USP1 Allosteric Inhibitors
This study presents the first ubiquitin‐specific protease 1 (USP1) allosteric fluoroprobe and fluorescence polarization assay, enabling the differentiation of allosteric and catalytic site inhibitors. Further, a novel class of tetrahydroisoquinoline‐based USP1 inhibitors is designed, with compound 14a (USP1 IC50 = 29.9 nM) showing strong selectivity ...
Jiawei Cheng +12 more
wiley +1 more source
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Testing for lack of fit in inverse regression - with applications to photonic imaging. [PDF]
Regression; Problems; Lack-of-fit; Applications;
Claeskens, Gerda +3 more
core
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Variance-Guided Regression for Heteroscedastic Data With a Grouping-Based Extension for Nonlinear Prediction. [PDF]
Liu S, Lu M.
europepmc +1 more source

