Results 181 to 190 of about 521,807 (336)
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
wiley +1 more source
Distortion models for statistical machine translation [PDF]
Yaser Al-Onaizan, Kishore Papineni
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This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle+9 more
wiley +1 more source
Discriminative reordering models for statistical machine translation [PDF]
Richard Zens, Hermann Ney
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MTradumàtica : statistical machine translation customisation for translators
This article presents the results of the research project ProjecTA, which attempts to bring machine translation within closer reach of translators. This works from the basic assumption that the translator's profile is valid for managing MT-related tasks.
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Adsorption and Separation by Flexible MOFs
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska+4 more
wiley +1 more source
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai+8 more
wiley +1 more source
Linguistic Structure in Statistical Machine Translation
This thesis investigates the influence of linguistic structure in statistical machine translation. We develop a word reordering model based on syntactic parse trees and address the issues of pronouns and morphological agreement with a source discriminative word lexicon predicting the translation for individual words using structural features. When used
openaire +3 more sources
Morpho-syntactic Arabic preprocessing for Arabic-to-English statistical machine translation [PDF]
Anas El Isbihani+3 more
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Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source