Results 11 to 20 of about 37,104 (149)

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data

Applications in Plant Sciences, Volume 10, Issue 6, November-December 2022., 2022
Abstract Premise Although several software packages are available for genotyping insertion/deletion (indel) polymorphisms in genomes using next‐generation sequencing data, simultaneously calling indel genotypes across many individuals for use in genetic mapping remains challenging. Methods and Results We present an integrated pipeline, InDelGT, for the
Zhiliang Pan, Jinpeng Zhang, Shengjun Bai, Zhiting Li, Chunfa Tong   +4 more
wiley   +1 more source

A low‐cost high‐throughput phenotyping system for automatically quantifying foliar area and greenness

Applications in Plant Sciences, Volume 10, Issue 6, November-December 2022., 2022
Abstract Premise With modern advances in genetic sequencing technology, plant phenotyping has become a substantial bottleneck in crop improvement programs. Traditionally, researchers have manually measured phenotypic traits to help determine genotype–phenotype relationships, but manual measurements can be time consuming and expensive.
Tyler Thrash, Hansol Lee, Robert L. Baker   +2 more
wiley   +1 more source

Room‐Temperature‐Observable Interconversion Between Si(IV) and Si(II) via Reversible Intramolecular Insertion Into an Aromatic C−C Bond

Chemistry – A European Journal, Volume 28, Issue 69, December 9, 2022., 2022
The synthesis of a new silepin with a sterically encumbered silyl ligand was achieved, which shows a spectral observable equilibrium towards the isomeric acyclic silylene at room temperature. The equilibrium was analyzed by VT NMR and UV/Vis measurements supported by DFT calculations.
Teresa Eisner, Arseni Kostenko, Franziska Hanusch, Shigeyoshi Inoue   +3 more
wiley   +1 more source

Synthesis and Reactivity of Bidentate N‐Heterocyclic Carbene‐Phosphinidene Supported Si(IV) Dicationic Complexes

European Journal of Organic Chemistry, Volume 2022, Issue 45, December 6, 2022., 2022
In this publication the utilization of bis(NHCP) ligands is expanded towards complexation of silicon precursors giving access to Si(IV) dications [2 a] and [2 b]. These complexes present the first examples of bis(NHCP)‐supported Si(IV) dications, showing expected high Lewis acidity.
Ramona Baierl, Arseni Kostenko, Franziska Hanusch, Alexander D. Beck, Shigeyoshi Inoue   +4 more
wiley   +1 more source

Linking uplift, erosion, and sedimentation using landscape evolution models: Madagascar since the Late Cretaceous

Earth Surface Processes and Landforms, Volume 48, Issue 1, Page 215-229, January 2023., 2023
This paper uses a numerical landscape evolution model to reconstruct the topographic history of Madagascar since the Late Cretaceous. The model is optimised by balancing the volumes of onshore erosion and offshore sedimentation; the former is predicted with erosion laws and based on uplift history inferred from elevated planation surfaces.
Ruohong Jiao, Jean Braun, Antoine Delaunay, Cécile Robin, François Guillocheau   +4 more
wiley   +1 more source

Construction of hybrid 1D‐0D networks for efficient and accurate blood flow simulations

International Journal for Numerical Methods in Fluids, Volume 95, Issue 2, Page 262-312, February 2023., 2023
A set of coupling equations to appropriately couple nonlinear 1D and lumped‐parameter (0D) models for blood flow in compliant vessels is defined. Then, a methodology for the high‐order numerical coupling between 1D and 0D vessels through hybrid junctions is proposed.
Beatrice Ghitti, Pablo J. Blanco, Eleuterio F. Toro, Lucas O. Müller   +3 more
wiley   +1 more source

Prediction of the information processing speed performance in multiple sclerosis using a machine learning approach in a large multicenter magnetic resonance imaging data set

Human Brain Mapping, Volume 44, Issue 1, Page 186-202, January 2023., 2023
We developed an advanced machine learning pipeline to identify brain structural magnetic resonance imaging (MRI) volumes that, along with demographic and clinical data, predict information processing speed (IPS) performance, assessed with the Symbol Digit Modalities Test (SDMT), of patients with multiple sclerosis (MS).
Chiara Marzi, Alessandro d'Ambrosio, Stefano Diciotti, Alvino Bisecco, Manuela Altieri, Massimo Filippi, Maria Assunta Rocca, Loredana Storelli, Patrizia Pantano, Silvia Tommasin, Rosa Cortese, Nicola De Stefano, Gioacchino Tedeschi, Antonio Gallo, the INNI Network   +14 more
wiley   +1 more source

SPiP: Splicing Prediction Pipeline, a machine learning tool for massive detection of exonic and intronic variant effects on mRNA splicing

Human Mutation, Volume 43, Issue 12, Page 2308-2323, December 2022., 2022
Abstract Modeling splicing is essential for tackling the challenge of variant interpretation as each nucleotide variation can be pathogenic by affecting pre‐mRNA splicing via disruption/creation of splicing motifs such as 5′/3′ splice sites, branch sites, or splicing regulatory elements.
Raphaël Leman, Béatrice Parfait, Dominique Vidaud, Emmanuelle Girodon, Laurence Pacot, Gérald Le Gac, Chandran Ka, Claude Ferec, Yann Fichou, Céline Quesnelle, Camille Aucouturier, Etienne Muller, Dominique Vaur, Laurent Castera, Flavie Boulouard, Agathe Ricou, Hélène Tubeuf, Omar Soukarieh, Pascaline Gaildrat, Florence Riant, Marine Guillaud‐Bataille, Sandrine M. Caputo, Virginie Caux‐Moncoutier, Nadia Boutry‐Kryza, Françoise Bonnet‐Dorion, Ines Schultz, Maria Rossing, Olivier Quenez, Louis Goldenberg, Valentin Harter, Michael T. Parsons, Amanda B. Spurdle, Thierry Frébourg, Alexandra Martins, Claude Houdayer, Sophie Krieger   +35 more
wiley   +1 more source

Nuclear localisation sequences of chloride intracellular channels 1 and 4 facilitate nuclear import via interactions with import mediator importin‐α: An empirical and theoretical perspective

Journal of Molecular Recognition, Volume 36, Issue 2, February 2023., 2023
Structural and CLIC unclear localisation sequence binding differences between mouse Importin α1 (grey) and human Importin α1 (green) show conformational and sequence differences between the two structures. Nonetheless, the major binding pocket of Impα for interacting with cargo NLSs is highly conserved. Abstract Chloride intracellular channel proteins (
Olga Færch, Roland Worth, Ikechukwu Achilonu, Heini Dirr   +3 more
wiley   +1 more source