Results 41 to 50 of about 54,585 (236)
This study presents a systematic bibliometric review of digital innovations in renewable energy-oriented power systems, with a focus on Blockchain, Artificial Intelligence (AI), the Internet of Things (IoT), and Data Analytics.
Manuel Jaramillo +3 more
doaj +1 more source
Submorphemic elements in the formation of acronyms, blends and clippings
Mainstream word-formation is concerned with the formation of new words from morphemes. As morphemes are full linguistic signs, the resulting neologisms are transparent: speakers can deduce the meanings of the new formations from the meanings of their ...
Ingrid Fandrych
doaj +1 more source
Correlation between the scapholunate space and clinical evolution in distal radius fractures
Introduction. Scapholunate instability is the most frequent carpal instability. It covers a wide spectrum of injuries and is usually associated with distal radius fractures. Objective.
Gregorio Villarreal-Calderón +4 more
doaj +1 more source
A biocompatible sodium alginate‐based hydrogel is developed as a next‐generation submucosal lifting agent intended for EMR and ESD. The optimized formulation exhibits a composition devoid of endotoxins, high viscosity, demonstrates reliable injectability, and ensures prolonged mucosal elevation.
Iram Maqsood +9 more
wiley +1 more source
The following paper explores the experience of narrative Foresight applied to the use of the scenario method in Argentina in the light of the contributions of critical Future Studies concerning the narrative dimension in the last years.
María Mercedes Patrouilleau
doaj +1 more source
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
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
This article proposes a multiscale classification framework for detecting voltage disturbances in electrical distribution systems using artificial neural networks (ANNs) combined with the Hilbert–Huang transform (HHT).
Juan Vasquez +2 more
doaj +1 more source
An exciting Approach to Theoretical Spectroscopy
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno +29 more
wiley +1 more source
Given the pressing need to strengthen operational reliability in electrical distribution networks, this study proposes an optimization methodology based on the Teaching–Learning-Based Optimization (TLBO) algorithm for the strategic location of redundant ...
Johao Jiménez +2 more
doaj +1 more source

