Results 131 to 140 of about 39,799,637 (283)
Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti +11 more
wiley +1 more source
Assessing lexical and syntactic simplification in translated English with entropy analysis
This study investigates the lexical and syntactic complexity of translated and non-translated native English texts, with a particular focus on evaluating the simplification hypothesis in translation. Drawing on entropy as a quantitative measure rooted in
Zhongliang Wang +3 more
doaj +1 more source
Towards Robust Synthetic Data Generation for Simplification of Text in French
We present a pipeline for synthetic simplification of text in French that combines large language models with structured semantic guidance. Our approach enhances data generation by integrating contextual knowledge from Wikipedia and Vikidia articles and ...
Nikos Tsourakis
doaj +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Context-aware automatic text simplification
Comunicació presentada a: XXXV International Conference of the Spanish Society for Natural Language Processing (SEPLN 2019), celebrat el 25 de setembre de 2019, a Bilbao, EspanyaText simplification is the process of transforming complex text into simple
Sheang, Kim Cheng
core +1 more source
Sentence-level detection of Hungarian plain language with feature-guided augmentation
In this study, we investigate Hungarian Plain Language (PL) and Simple Language (SL) with the primary objective of training a machine-learning-based sentence-level PL model that flags sentences where expert intervention may be needed during PL-oriented ...
István Üveges
doaj +1 more source
2. FID / Text+ Jour Fixe am 17. Mai
Am 17.05.2023 findet auf Zoom von 9.00 bis 12.30 Uhr der 2. FID / Text+ Jour Fixe statt. Das im halbjährlichen Turnus veranstaltete Format zielt speziell auf die Zusammenarbeit zwischen Fachinformationsdiensten und Konsortium ab und möchte einen ...
Text+ Blog-Redaktion
core
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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
Towards Automatic Finnish Text Simplification
Automatic text simplification (ATS/TS) models typically require substantial parallel training data. This paper describes our work on expanding the Finnish-Easy Finnish parallel corpus and making baseline simplification models.
Dmitrieva, Anna, Tiedemann, Jörg
core
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source

