Results 41 to 50 of about 51,982 (249)
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
One of the fundamental components of understanding online discourse in social networks is the identification of narratives. For example, the analysis of disinformation campaigns requires some inference about their communication goals that, in turn ...
Jesus M. Fraile-Hernandez +2 more
doaj +1 more source
Automated Metric Analysis of Spanish Poetry: Two Complementary Approaches
The automatic metric analysis (commonly referred to as scansion) of Spanish poetry is not a trivial problem since it combines the nuances of the language, the different poetic traditions related to melodic patterns, and the personal stylistic preferences
Guillermo Marco +4 more
doaj +1 more source
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley +1 more source
Breaking Down Lignin: A Macromolecule's Path to the Nanoscale
This section highlights lignin's critical role as a sustainable, multifunctional precursor for nanomaterial design. Its unique structure and abundance enable the creation of lignin‐based, lignin‐derived, and hybrid nanomaterials with tunable properties. Emphasis is placed on lignin's potential to drive innovation in nanotechnology, offering ecofriendly
Jelena Papan Djaniš +3 more
wiley +1 more source
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley +1 more source
IntroductionUnderstanding how category width of cognitive style and power distance impact language use in cultures is crucial for improving cross-cultural communication. We attempt to reveal how English foreign language students, affected by high-context
Dasa Munkova +3 more
doaj +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Graph Model for Detection of text unstructured data such as Sarcasm
Sarcasm is frequently characterized as verbal incongruity to communicate scorn. It is a nuanced type of language with which people express something contrary to what is suggested. Perhaps the greatest test in building frameworks to consequently recognize
Axel Rodríguez-García, Armando Jipsion
doaj
Model WordNet Bahasa Indonesia berbasis Linked Data
WordNet is an online lexical database. In Computer Science domain, it plays important role in solving semantic interoperability issues. It also helps in many researches related to Natural Language Processing topic.
Hendrik, Andhik Budi Cahyono
doaj +1 more source

