Results 61 to 70 of about 366,029 (327)
1D Supergravity FLRW Model of Starobinsky
We study two homogeneous supersymmetric extensions for the f(R) modified gravity model of Starobinsky with the FLRW metric. The actions are defined in terms of a superfield R that contains the FLRW scalar curvature.
Nephtalí E. Martínez-Pérez+2 more
doaj +1 more source
Flexible and fine-grained simulation of speed in language processing
According to the embodied cognition theory, language comprehension is achieved through mental simulation. This account is supported by a number of studies reporting action simulations during language comprehension. However, which details of sensory-motor
Xueyao Pan, Bingqian Liang, Xi Li
doaj +1 more source
A First-Quantized Model for Unparticles and Gauge Theories around Conformal Window
We first quantize an action proposed by Casalbuoni and Gomis in 2014 that describes two massless relativistic scalar particles interacting via a conformally invariant potential.
Nicolas Boulanger+2 more
doaj +1 more source
Formal descriptions of semantics have so far failed to match the acceptance and popularity of formal descriptions of syntax. Thus, in current standards for programming languages, syntax is usually described formally but semantics informally, despite the greater danger of impreciseness in the description of semantics.
David A. Watt, Peter D. Mosses
openaire +3 more sources
The article is devoted to the verbs of the mode of action in which excessiveness and duration are combined with negative consequences. This combination of excessiveness and duration with negative result of the action is characteristic of a number of pre ...
Van Cyan
doaj
Learning Using Privileged Information for Zero-Shot Action Recognition [PDF]
Zero-Shot Action Recognition (ZSAR) aims to recognize video actions that have never been seen during training. Most existing methods assume a shared semantic space between seen and unseen actions and intend to directly learn a mapping from a visual space to the semantic space.
arxiv
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Rapid character scoring and tabulation of large leaf‐image libraries using Adobe Bridge
Abstract Premise Digital image libraries are an integral part of specimen‐based research. However, coding and extracting metadata for hundreds of specimens on a personal computer can be complex. In addition, most existing workflows require downsampling or platform switching and do not link character data directly to the images.
Gabriella Rossetto‐Harris+4 more
wiley +1 more source
Rich Action-semantic Consistent Knowledge for Early Action Prediction [PDF]
Early action prediction (EAP) aims to recognize human actions from a part of action execution in ongoing videos, which is an important task for many practical applications. Most prior works treat partial or full videos as a whole, ignoring rich action knowledge hidden in videos, i.e., semantic consistencies among different partial videos.
arxiv
Unified Algebras and Action Semantics [PDF]
The recently-developed framework of Unified Algebras is intended for axiomatic specification of abstract data types. In contrast, the somewhat older framework of Action Semantics (earlier known as ''Abstract Semantic Algebras'') is for denotational specification of programming languages.
openaire +3 more sources