Results 171 to 180 of about 69,603 (339)
Examining the neural mechanisms involved in the affective and pragmatic coding of prosody [PDF]
, 2006 Didier Grandjean, Klaus R. Scherer
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Building Molecules by a Self‐Replicator That Catalyzes Acyl Hydrazone Formation
Angewandte Chemie, EarlyView.A self‐replicator efficiently catalyzes the formation of acyl hydrazone bonds between a set of different substrates. In addition to previously reported (bond‐breaking) catalytic activity, this renders the self‐replicator highly promiscuous, which is a good starting point for Darwinian experiments en route to de‐novo life.
Kayleigh S. van Esterik +2 more
wiley +2 more sources
Affective prosody and cortical activation in dementia of the Alzheimer's type: an exploratory acoustic and fNIRS study. [PDF]
Front DementOh C, Kim IS, Feltis A.
europepmc +1 more source
Prosody in Swedish Children With Language Impairment: Perceptual, Acoustic and Interactional Aspects
, 2004 Christina Samuelsson
openalex +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
The Scope and Limits of Iconic Prosody: Head Angle Predicts <i>f</i>0 Changes While Object Size Effects Are Absent. [PDF]
Open Mind (Camb)Ćwiek A, Fuchs S.
europepmc +1 more source
Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models
Advanced Intelligent Systems, EarlyView.Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses +3 more
wiley +1 more source
Angewandte Chemie, EarlyView.Here, we transform this otherwise destructive enzymatic activity into a powerful diagnostic advantage through an RNase I–assisted rolling circle amplification (RI‐RCA) strategy. By integrating controlled RNase I–mediated RNA digestion with circular DNA templates, this approach enables direct and highly sensitive detection of target RNA sequences. Using
Amal Mathai +5 more
wiley +2 more sources
Music and Affective Prosody after Surgical Removal of the Right Arcuate Fasciculus: A Case Study. [PDF]
Ann N Y Acad SciSierpowska J +8 more
europepmc +1 more source