Results 121 to 130 of about 20,753,245 (292)
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Tracking Brazilian Exchange Rate Volatility [PDF]
This paper examines the relation between dollar-real exchange rate volatility implied in option prices and subsequent realized volatility. It investigates whether implied volatilities contain information about volatility over the remaining life of the ...
Sandro Canesso de Andrade +2 more
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Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories [PDF]
Tscherepanow M. Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories. In: Perner P, ed. Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM).
Perner, Petra, Tscherepanow, Marko
core
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
The general objective of the present study is to investigate and assess the incremental information content of cash flow disclosures as required by the AASB 1026 “Statement of Cash Flows”. This test addresses the issue of whether a change in cash flow components has the same relationship with security prices as that in earnings.
openaire +3 more sources
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Information Content and Interrelationships of Multiple Performance Measures [PDF]
EThOS - Electronic Theses Online ServiceGBUnited ...
Abbadi, Sinan Sulieman +1 more
core
The incremental information content of the annual report and accounts [PDF]
I. This study examines the value to financial analysts and investors generally in the UK of firms' accounting disclosures and other information contained in the annual report and accounts for share valuation purposes. 2. Using daily share price data and a large sample of actively traded UK firms the relative information content of four major ...
openaire +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source

