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Durante años, el glitch, en tanto error o fallo que desgarra la superficie textual, fue considerado como algo que debía suprimirse. Los estudios de desarrollo de videojuegos dedican grandes cantidades de recursos a red...

Este artículo retoma las discusiones acerca de los aspectos normativos y pedagógicos de la Gramática castellana destinada al uso de los americanos. El trabajo analiza sucintamente sus características generales y el c...

Este artigo pretende, a partir da perspectiva da gramática sistêmico-funcional (Halliday, 1985, 1994, 2004), discutir, em um primeiro momento, a questão terminológica em relação ao Sistema de Avaliatividade (Martin...

Background: The rapid development of artificial intelligence (AI) has significantly influenced various aspects of education, particularly in academic writing. English language education students are increasingly utilizin...

Simmel’s social theory, namely his formal sociology, has long been considered if not dead, then of little relevance for contemporary sociological theories. This study is an attempt at proving the contrary. Our aim is t...

Teaching a form of Syrian dialect is documented in a manuscript by Ottoman poet and writer Ḥassān ibn Naṣūḥ ar-Rūmī al-Balāṭī dating back to around 1445. He aimed to instruct individuals interested in tra...

Background: Arabic morphology plays a crucial role in understanding the grammatical and semantic structure of the Qur’anic language. Purpose: This study aims to analyze the patterns, meanings, functions, and syntact...

Current watermarking approaches for LLM-generated text typically embed watermarks during the generation process, using a secret key controlled by the LLM. Although this enables verification of LLM-generated content, it m...

As an experienced teacher of advanced learners of English I am deeply aware of recurrent problems which these learners experience as regards grammatical accuracy. In this paper, I focus on researching inaccuracies in the...

La hegemonía de ciertos enfoques teóricos en los campos de producción del conocimiento provoca que algunos presupuestos se asuman como absolutos sin admitir ninguna problematización. Tal es el caso de la centralidad ...

We show how to use "complementary priors" to eliminate the explaining-away effects that make inference difficult in densely connected belief nets that have many hidden layers. Using complementary priors, we derive a fast...

State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [1] and Fast R-CNN [2] have reduced the running time of these detection networks, expo...

We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D ...

GROMACS is one of the most widely used open-source and free software codes in chemistry, used primarily for dynamical simulations of biomolecules. It provides a rich set of calculation types, preparation and analysis too...

Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn th...

Materias / palabras clave: Benchmark (surveying); Artificial intelligence; Computer science; Categorical variable; Cognitive neuroscience of visual object recognition; Scale (ratio); Object (grammar); Object detection; Field (mathematics); Pattern...

The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such ...

This article described three heuristics that are employed in making judgments under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A ...

Materias / palabras clave: Representativeness heuristic; Heuristics; Class (philosophy); Computer science; Process (computing); Object (grammar); Event (particle physics); Value (mathematics); Artificial intelligence; Psychology; Machine learning;...

This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributio...

The prime object of this book is to put into the hands of research workers, and especially of biologists, the means of applying statistical tests accurately to numerical data accumulated in their own laboratories or avai...

The emerging field of emotion regulation studies how individuals influence which emotions they have, when they have them, and how they experience and express them. This review takes an evolutionary perspective and charac...

Materias / palabras clave: Pascal (unit); Benchmark (surveying); Artificial intelligence; Computer science; Object detection; Cognitive neuroscience of visual object recognition; Machine learning; Visual inspection; Context (archaeology); Object (...

Materias / palabras clave: Acetylcholine; Muscarinic acetylcholine receptor; Thoracic aorta; Vasodilation; Aorta; Contraction (grammar); Chemistry; Anatomy; Vascular smooth muscle; Relaxation (psychology); Blood vessel; Biophysics