Results 41 to 50 of about 20,730 (256)

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Lab‐Scale Fabrication Process Selection for Soft Robotics: Benchmarking, Tradeoffs, and Guidelines for Formative Manufacturing of Soft Silicone Components

Advanced Intelligent Systems, EarlyView.
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus, Daniel Massimino, Cat Arase, Kaitlyn P. Becker   +3 more
wiley   +1 more source

Increased Plasma Microbial tDR‐1 in At‐Risk Individuals Is Associated With Decreased Conversion to Clinical Rheumatoid Arthritis and Reduces an In Vitro Macrophage Type 1 Interferon Response

Arthritis &Rheumatology, EarlyView.
Objective Microbial small RNAs can regulate human genes. Higher plasma concentrations of microbial transfer RNA (tRNA)‐derived RNA‐1 (tDR‐1) were previously associated with lower rheumatoid arthritis (RA) disease activity. This study examined whether tDR‐1 concentrations differ in anticyclic citrullinated peptide‐3 positive (CCP3+) at‐risk individuals (
Anastasiia Phothisane, Tulsi K. Joishy, Carolina Ramirez‐Becerra, Qiong Wu, Jennifer Seifert, Marie L. Feser, Jill M. Norris, M. Kristen Demoruelle, LauraKay Moss, Kevin D. Deane, V. Michael Holers, Michelle J. Ormseth   +11 more
wiley   +1 more source

Weibull or Lognormal Distribution to Characterize Fatigue Life Scatter – Which is More Suitable? – Continued

Fatigue of Aircraft Structures
This paper describes a study to determine whether fatigue test life scatter is best characterised by a Weibull or lognormal statistical distribution for a high strength steel used for landing gear structures. It is a response to “Face 2” of the ICAF 2017
Plaskitt Rob, Wynn-Jones Chris, Halfpenny Andrew   +2 more
doaj   +1 more source

Cost‐effectiveness of DPYD genotyping prior to fluoropyrimidine‐based treatment for colorectal cancer in Wales

British Journal of Clinical Pharmacology, EarlyView.
Abstract Background Regulatory guidance in the United Kingdom advises DPYD genotyping prior to fluoropyrimidine‐based treatment. This economic evaluation estimated the costs and outcomes associated with DPYD screening prior to prescribing fluoropyrimidines for colorectal cancer in Wales and also considers additional variants to those included in ...
Catrin O. Plumpton, Sian M. Morgan, Richard A. Adams, Samantha Cox, Angharad A. Rudkin, Megan Fealey, Craig Barrington, Michelle D. Wood, Dyfrig A. Hughes   +8 more
wiley   +1 more source

On the three-spliced Exponential-Lognormal-Pareto distribution

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
To model statistical data coming from two di erent distributions, Cooray and Ananda [1] introduced a composite (two-spliced) Lognormal-Pareto model, that was further extended by Scollnik [9] and fitted to insurance data.
Bâcă Adrian, Vernic Raluca
doaj   +1 more source

Monitoring pharmacodynamic and molecular drug targets in liquid biopsy: Exploratory study in liver cancer with modelling of EGFR Receptor engagement

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Liquid biopsy is minimally invasive (compared with tissue biopsy) and has previously been used to generate systems data regarding drug elimination via hepatic enzymes and transporters. This study extends quantitative assessment of systems parameters in liquid biopsy to pharmacodynamic (PD) and disease markers relevant to cancer development
Zubida M. Al‐Majdoub, Armin Sepp, Amin Rostami‐Hodjegan, Brahim Achour   +3 more
wiley   +1 more source

Modelando la distribución del número de co-autores por artículo Modeling the distribution of co-authorships by paper

Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información, 2011
Este artículo explora la modelación del número de autores que colaboran en la publicación de un artículo. Con ese fin se analizaron la distribución geométrica, la distribución Poisson truncada, la distribución Poisson lognormal y la distribución Gauss ...
Rubén Urbizagástegui Alvarado, Cristina Restrepo Arango   +1 more
doaj  

The Lognormal Distribution Is Characterized by Its Integer Moments

Mathematics
The lognormal moment sequence is considered. Using the fractional moments technique, it is first proved that the lognormal has the largest differential entropy among the infinite positively supported probability densities with the same lognormal-moments.
Pier Luigi Novi Inverardi, Aldo Tagliani
doaj   +1 more source