Results 91 to 100 of about 6,145 (264)
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Spaces of Fiction: Paris in the advertising discourse
, 2019 Tesis inédita de la Universidad Complutense de Madrid, Facultad de Filología, leída el 18/10/2019. Tesis retirada por expreso deseo del autorEsta tesis doctoral, presentada bajo el título de Espacios de ficción: París en el discurso publicitario, está ...
Montero Pérez, Gonzalo
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Word Formation and the Discourse of Advertising
Rasprave Instituta za Hrvatski Jezik i Jezikoslovlje, 2014 This paper presents the results of research conducted using a corpus of radio and television commercials and advertising texts gathered from 2009 to 2013. The main points of interest of the paper are word-formation processes used to create the messages of the advertisements.
Barbara Štebih Golub, Kristian Lewis
openaire +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
INTERNET ADVERTISEMENTS AS A SUBTYPE OF THE ADVERTISING DISCOURSE
Тrаnscarpathian Philological Studies, 2021 openaire +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
AI &Innovation, EarlyView.ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley +1 more source
Metaphorization in advertising discourse
Доклады Башкирского университета, 2022 openaire +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin +5 more
wiley +1 more source
Punning Wordplay in Czech Advertising Discourse
, 2017 This account of punning wordplay in Czech advertising discourse draws on the recent popularity of pun and the research, for which the theory of lexical priming provides lexico-grammatical framework. The corpus-based evidence of combinatorial behaviour of
Věra Sládková
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