Results 91 to 100 of about 46,987 (245)

Exploring the Impact of RNU4‐2 Defects on Neurodevelopmental Disorders in a Korean Population

open access: yesClinical Genetics, EarlyView.
Among 15 450 Korean individuals, noncoding RNU4‐2 variants, primarily the recurrent de novo n.64_65insT, make up 0.72% of neurodevelopmental disorders. Modeling and RNA‐seq suggest U4/U6 disruption and abnormal 5′ splice‐site selection, supporting routine use of WGS analysis for reanalyzing unresolved cases. ABSTRACT Neurodevelopmental disorders (NDDs)
Juhyeon Hong   +20 more
wiley   +1 more source

Knowledge-rich Image Gist Understanding Beyond Literal Meaning

open access: yes, 2018
We investigate the problem of understanding the message (gist) conveyed by images and their captions as found, for instance, on websites or news articles. To this end, we propose a methodology to capture the meaning of image-caption pairs on the basis of
Dietz, Laura   +4 more
core   +1 more source

A framework for evaluating reproducibility and replicability in economics

open access: yesEconomic Inquiry, Volume 63, Issue 2, Page 338-356, April 2025.
Abstract We propose a framework for evaluating reproducibility and replicability in economics. Reproducibility is defined as testing if the results of an original study can be reproduced using the same data and replicability is defined as testing if the results of an original study hold in new data.
Anna Dreber, Magnus Johannesson
wiley   +1 more source

Lack of Noradrenergic Modulation of Indirect Semantic Priming

open access: yesBehavioural Neurology, 2009
Norepinephrine and dopamine are both believed to affect signal-to-noise in the cerebral cortex. Dopaminergic agents appear to modulate semantic networks during indirect semantic priming, but do not appear to affect problem solving dependent on access to ...
Jacquelyne S. Cios   +4 more
doaj   +1 more source

ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing

open access: yes, 2017
In this paper, we present a novel unsupervised algorithm for word sense disambiguation (WSD) at the document level. Our algorithm is inspired by a widely-used approach in the field of genetics for whole genome sequencing, known as the Shotgun sequencing ...
Butnaru, Andrei M.   +2 more
core   +1 more source

Computing Semantic Relatedness using DBPedia

open access: yes, 2012
Extracting the semantic relatedness of terms is an important topic in several areas, including data mining, information retrieval and web recommendation. This paper presents an approach for computing the semantic relatedness of terms using the knowledge base of DBpedia - a community effort to extract structured information from Wikipedia.
Leal, José Paulo   +2 more
openaire   +3 more sources

Limits, Limitations, and Necessity in Margaret Macdonald

open access: yesEuropean Journal of Philosophy, EarlyView.
ABSTRACT I offer a contribution to recent work on Margaret Macdonald (1903–1956), a prolific though largely unknown figure in the history of analytic philosophy who applied Wittgensteinian insights to a broad range of issues. Here I examine the development of Macdonald's views with respect to idealism and conventionalism, through the application of a ...
Oliver Thomas Spinney
wiley   +1 more source

From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models

open access: yesEuropean Financial Management, EarlyView.
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter   +2 more
wiley   +1 more source

The Effects of Mobile, Gamified, and Paper Flashcards on Vocabulary and Collocation Learning in Young Language Learners

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT This study examined English vocabulary learning by using three types of flashcards: paper flashcards, non‐gamified mobile application (app) flashcards (i.e., digital flashcards), and gamified mobile app flashcards (i.e., gamified flashcards) in a privately owned language institute in Iran.
Ali Soyoof   +3 more
wiley   +1 more source

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