Results 61 to 70 of about 19,622 (256)
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Advanced Engineering Materials, EarlyView.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
Arabiyat, 2018 This paper aims to establish the Arabic cognates or origins of "demonstrative pronouns" in the world languages from a radical consonantal (lexical root) theory perspective. The data comprises key demonstrative pronouns like this, that in eleven major and
Zaidan Ali Jassem
doaj +1 more source
On nd-K* (n, r)-Full Hypersubstitutions
Discussiones Mathematicae - General Algebra and Applications, 2021 Based on the notion of K* (n, r)-full terms defined by the authors, nd- K* (n, r)-full hypersubstitutions are defined. It turns out that the extension of an nd- K* (n, r)-full hypersubstitution is an endomorphism of the algebra of tree languages of nd- K*
Wattanatripop Khwancheewa +1 more
doaj +1 more source
Biomimetic Microfractals Based Flexible Triboelectric Nanogenerators
Advanced Functional Materials, EarlyView.A leaf‐skeleton‐based microfractal architecture is integrated with guided CuNW networks and biomimetic triboelectric polymer layers, enabling breathable, flexible, and material‐efficient triboelectric nanogenerators. The resulting system combines enhanced charge generation and charge transport, offering potential for next‐generation self‐powered ...
Amit Barua +7 more
wiley +1 more source
State Complexity of Regular Tree Languages for Tree Matching [PDF]
International Journal of Foundations of Computer Science, 2016 We study the state complexity of regular tree languages for tree matching problem. Given a tree t and a set of pattern trees L, we can decide whether or not there exists a subtree occurrence of trees in L from the tree t by considering the new language L′ which accepts all trees containing trees in L as subtrees.
Sang-Ki Ko, Ha-Rim Lee, Yo-Sub Han
openaire +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
On the fractal patterns of language structures.
PLoS ONE, 2023 Natural Language Processing (NLP) makes use of Artificial Intelligence algorithms to extract meaningful information from unstructured texts, i.e., content that lacks metadata and cannot easily be indexed or mapped onto standard database fields.
Leonardo Costa Ribeiro +2 more
doaj +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Surface tree languages and parallel derivation trees
Theoretical Computer Science, 1975 The surface tree languages obtained by top-down finite state transformation of monadic trees are exactly the frontier-preserving homomorphic images of sets of derivation trees of ETOL systems. The corresponding class of tree transformation languages is therefore equal to the class of ETOL languages.
openaire +3 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source