Moving Time vs. Frame-relative motion

2020 ◽  
Vol 12 (2) ◽  
pp. 272-314
Author(s):  
Kevin Ezra Moore
Keyword(s):  
Frame Analysis ◽  
Specific Structure ◽  
Semantic Structure ◽  
Motion Event ◽  
Different Types ◽  
Cognitive Semantic ◽  
Fictive Motion ◽  
Preliminary Classification ◽  
Selective Integration

Abstract There is an elaborate analogy between Moving Time (composed of primary metaphors; e.g. Christmas is approaching) and Frame-relative Fictive Motion (e.g. Your destination is approaching). It has been suggested that this analogy could be involved in the motivation of Moving Time. However, a semantic frame analysis that includes all stages of the motion event shows that this analogy could not be involved in the motivation of Moving Time. It is further argued that Moving Time and Frame-relative Fictive Motion are instances of different types of cognitive-semantic structure. Moving Time is a selective integration of concepts from frames that do not share elements with each other, whereas Frame-relative Fictive Motion presupposes a single semantic frame. For the purpose of distinguishing fictive motion from primary metaphor (e.g. Moving Time), Coextension-path and Pattern-path fictive motion are studied in addition to Frame-relative. These three types of fictive motion can be distinguished from primary metaphor because they involve the integration of concepts from frames that share specific structure, whereas primary metaphor involves frames that do not share specific structure. In a preliminary classification of fictive motion as a type of metaphor, all three types of fictive motion discussed may be classified as resemblance-based metaphors. Coextension-path and Frame-relative fictive motion are also motivated by correlations in experience. These correlations, however, are different in kind from those that motivate primary metaphor.

scholarly journals Foods of Oppression

2021 ◽  
Vol 5 ◽  
Author(s):  
Lisa L. Price ◽  
Gisella S. Cruz-Garcia ◽  
Nemer E. Narchi
Keyword(s):  
Indigenous Peoples ◽  
Spatial Scales ◽  
Food Studies ◽  
Food Justice ◽  
Traditional Food ◽  
Traditional Foods ◽  
Food Items ◽  
Different Types ◽  
Preliminary Classification

The growing recognition of food justice as an element of food studies inquiry has opened a productive vein that allows for analyzing the effects of oppression on traditional foods of Indigenous peoples. We provide a preliminary classification of food oppression by presenting several different types of foods from a number of cultures: (1) replaced and repressed foods; (2) disempowered and misrepresented foods; and (3) foods of oppression of the dispossessed. Our main argument is that these food types represent different faces of oppression and state power that, regardless of the inherent differences, have permeated diets and imaginaries in various spatial scales and, in doing so, have caused deprivation in local communities, despite being accepted in many cases as traditional food items in oppressed cultures. We conducted a systematic literature review in Scopus focusing on the traditional foods of Indigenous people and elements of oppression and revitalization. The results of our review are discussed in light of what we identify as aspects of culinary oppression. We conclude our paper by sketching the plausible first steps for redemptory solutions based on Indigenous food work aimed at reclaiming basic revalorization and revitalization.

Language patterns and ATTITUDE

2009 ◽  
Vol 16 (2) ◽  
pp. 165-192 ◽  
Author(s):  
Monika Bednarek
Keyword(s):  
Systemic Functional Linguistics ◽  
Appraisal Theory ◽  
Functional Linguistics ◽  
Corpus Linguistic ◽  
Linguistic Evidence ◽  
Linguistic Patterns ◽  
Different Types ◽  
Evaluative Meaning ◽  
Preliminary Classification

Interpersonal or evaluative meaning has been described in systemic functional linguistics with the help of appraisal theory (Martin & White 2005), which distinguishes between different types of evaluation. One sub-system of APPRAISAL is ATTITUDE, which is further divided into APPRECIATION, JUDGEMENT and AFFECT. This paper uses corpus-linguistic evidence to investigate how far linguistic patterns support this classification, and whether they can be used as a ‘diagnostic’ for distinguishing types of ATTITUDE (as has been proposed in appraisal theory). It argues that two different aspects of APPRAISAL need to be considered: the kinds of attitudinal lexis (in terms of evaluative standards which are inscribed in this lexis) and the kinds of attitudinal targets or types of attitudinal assessment, and that this distinction has not been sufficiently considered in appraisal theory so far. A preliminary classification of attitudinal lexis is also suggested, and a new sub-category of ATTITUDE proposed (COVERT AFFECT).

Does Physical Motion Matter? The Encoding Differences between Fictive and Physical Motion Events

2017 ◽  
Vol 3 (2) ◽  
pp. 131-157
Author(s):  
Sai Ma
Keyword(s):  
Semantic Content ◽  
Motion Events ◽  
Linguistic Differences ◽  
Physical Motion ◽  
Motion Event ◽  
Verb Constructions ◽  
Different Types ◽  
Motion Verb ◽  
Fictive Motion ◽  
Authentic Data

This study aims to explore linguistic differences between fictive motion expressions and physical motion event expressions in Chinese. Although both types of expressions are associated with dynamic linguistic forms, they describe different types of semantic content. Using authentic data, this study examines motion verbs, motion verb constructions, the complexity of ground elements, and alternative manner expressions for Chinese fictive motion events, the results of which are compared with those of previous studies on physical motion events. It is found that Chinese fictive motion expressions are very different from Chinese physical motion event expressions in terms of the above four aspects. The results lend support to the hypothesis that fictive motion occurs more in verb-framed languages.

scholarly journals Polysemy in Linguistic Terminological Systems Based on the Analysis of French Linguistic Terms

2016 ◽  
Vol 2 (2) ◽  
pp. 61-67
Author(s):  
Denis Zolotukhin
Keyword(s):  
Term Structure ◽  
Semantic Structure ◽  
Abstract Model ◽  
Linguistic Terms ◽  
New Classification ◽  
Linguistic Research ◽  
Different Types ◽  
Negative Characteristic ◽  
The Given

The article reports on the features of polysemy in French terminological systems of linguistics at inter-system and intra-system levels. The existing studies concerning terminological semantics allow pointing out two aspects of the term structure: a semantic structure representing a complex of meanings, and a structure of the terminological meaning representing a complex of semes. The first aspect supposes the analysis of terminological polysemy regarded as a negative characteristic of terms. According to the second aspect some particularities of denotative and significative levels and their correlation to scientific concepts can be analyzed. In the given study the component analysis of the definitions of French terms – such as ‘sémantème’, ‘mot’ and ‘signe’ – reveals different types of polysemy and terminological variation. The analysis of semantic structures of these terms shows that terminological deviations are caused by objective differences at significative and denotative levels of the meaning as well as by the subjective use of occasional contexts of terms in linguistic research. The suggested results allow constructing a new classification of meaning relations of linguistic terms. Each type of relations is correlated to different elements of the term structure. The hierarchy of these elements is embodied into an abstract model that can be applied for the analysis of any term of the modern linguistic terminology.

scholarly journals Ethical Banking and Poverty Alleviation Banking: The Two Sides of the Same Solidary Coin

2021 ◽  
Vol 13 (21) ◽  
pp. 11977
Author(s):  
María del Carmen Valls Martínez ◽  
Pedro Antonio Martín-Cervantes ◽  
Sandra Peña Rodríguez
Keyword(s):  
Poverty Alleviation ◽  
Developed Countries ◽  
Developing Nations ◽  
Financial Sustainability ◽  
Different Types ◽  
Per Se ◽  
And Cluster Analysis ◽  
Two Sides ◽  
Preliminary Classification

(1) Background: The growing number of banking entities linked to the field of banking since the 1980s requires a preliminary classification of this sector in order to identify the main stylized facts of this wide conglomerate of institutions oriented to financial sustainability as well as the establishment of an effective differentiation that can objectively distinguish the different types of institutions operating in this subfield of finance. The objective of this research is to obtain a frame of reference by determining the main defining characteristics of these entities and their differentiating elements, by verifying, on an analytical basis, the ways in which they provide a social service in the pursuit of financial inclusion. (2) Methods: A double methodological perspective is used jointly: Factor Analysis and Cluster Analysis. (3) Results: It was possible to delimit two significant groups: Ethical Banks per se and Poverty Alleviation Banks, defining their main differences and analogies. (4) The taxonomy conducted revealed that Ethical Banks per se are primarily established in developed countries, while Poverty Alleviation Banks focus their actions on developing nations. Based on this classification, we establish a series of practical policies that support the future deployment of sustainable banking.

Dual stain kit for the microscopic gram classification of ocular infection bacteria

1993 ◽  
Vol 51 ◽  
pp. 248-249
Author(s):  
Jacob S. Hanker ◽  
Dale N. Holdren ◽  
Kenneth L. Cohen ◽  
Beverly L. Giammara
Keyword(s):  
Contact Lenses ◽  
Ocular Infection ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Gram Staining ◽  
Ocular Infections ◽  
Different Types ◽  
Culture Positive ◽  
Increased Susceptibility

Keratitis and conjunctivitis (infections of the cornea or conjunctiva) are ocular infections caused by various bacteria, fungi, viruses or parasites; bacteria, however, are usually prominent. Systemic conditions such as alcoholism, diabetes, debilitating disease, AIDS and immunosuppressive therapy can lead to increased susceptibility but trauma and contact lens use are very important factors. Gram-negative bacteria are most frequently cultured in these situations and Pseudomonas aeruginosa is most usually isolated from culture-positive ulcers of patients using contact lenses. Smears for staining can be obtained with a special swab or spatula and Gram staining frequently guides choice of a therapeutic rinse prior to the report of the culture results upon which specific antibiotic therapy is based. In some cases staining of the direct smear may be diagnostic in situations where the culture will not grow. In these cases different types of stains occasionally assist in guiding therapy.

Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations

1982 ◽  
Vol 21 (03) ◽  
pp. 127-136 ◽  
Author(s):  
J. W. Wallis ◽  
E. H. Shortliffe
Keyword(s):  
Explanatory Power ◽  
Prototype System ◽  
Inference Rules ◽  
Medical Expert ◽  
Comprehensive Knowledge ◽  
Different Types ◽  
Medical Expert Systems ◽  
Explanation System ◽  
Systems Studies

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.

Theoretical framework

2017 ◽  
Author(s):  
Judith Huber
Keyword(s):  
Theoretical Framework ◽  
Construction Grammar ◽  
Motion Verbs ◽  
Motion Event ◽  
Different Types ◽  
Constructionist Approach ◽  
Manner Verbs

Chapter 2 provides an introduction to the motion encoding typology as proposed by Talmy, Slobin, and others (manner- and path-conflating languages, different types of framing and their concomitant characteristics). It argues that this typology is highly compatible with a construction grammar framework, points out the differences, and shows that particularly from the diachronic perspective taken in this study, the constructionist approach has advantages over the originally lexicalist approach of the motion typology. The chapter also provides a discussion of the different categories of motion verbs used in this study (manner verbs, path verbs, neutral motion verbs, and verbs that do not evoke a motion event on their own, but can receive a contextual motion reading).

scholarly journals Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 495
Author(s):  
Imayanmosha Wahlang ◽  
Arnab Kumar Maji ◽  
Goutam Saha ◽  
Prasun Chakrabarti ◽  
Michal Jasinski ◽  
...  
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Support Vector ◽  
Variational Autoencoder ◽  
Different Types ◽  
Static Images ◽  
Long Short Term Memory ◽  
2D And 3D ◽  
Better Than

This article experiments with deep learning methodologies in echocardiogram (echo), a promising and vigorously researched technique in the preponderance field. This paper involves two different kinds of classification in the echo. Firstly, classification into normal (absence of abnormalities) or abnormal (presence of abnormalities) has been done, using 2D echo images, 3D Doppler images, and videographic images. Secondly, based on different types of regurgitation, namely, Mitral Regurgitation (MR), Aortic Regurgitation (AR), Tricuspid Regurgitation (TR), and a combination of the three types of regurgitation are classified using videographic echo images. Two deep-learning methodologies are used for these purposes, a Recurrent Neural Network (RNN) based methodology (Long Short Term Memory (LSTM)) and an Autoencoder based methodology (Variational AutoEncoder (VAE)). The use of videographic images distinguished this work from the existing work using SVM (Support Vector Machine) and also application of deep-learning methodologies is the first of many in this particular field. It was found that deep-learning methodologies perform better than SVM methodology in normal or abnormal classification. Overall, VAE performs better in 2D and 3D Doppler images (static images) while LSTM performs better in the case of videographic images.

scholarly journals Preventing corneal blindness caused by keratitis using artificial intelligence

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhongwen Li ◽  
Jiewei Jiang ◽  
Kuan Chen ◽  
Qianqian Chen ◽  
Qinxiang Zheng ◽  
...  
Keyword(s):  
Early Diagnosis ◽  
Vision Loss ◽  
Learning System ◽  
Automated Classification ◽  
Slit Lamp ◽  
Resource Limited ◽  
The World ◽  
Different Types ◽  
Corneal Blindness

AbstractKeratitis is the main cause of corneal blindness worldwide. Most vision loss caused by keratitis can be avoidable via early detection and treatment. The diagnosis of keratitis often requires skilled ophthalmologists. However, the world is short of ophthalmologists, especially in resource-limited settings, making the early diagnosis of keratitis challenging. Here, we develop a deep learning system for the automated classification of keratitis, other cornea abnormalities, and normal cornea based on 6,567 slit-lamp images. Our system exhibits remarkable performance in cornea images captured by the different types of digital slit lamp cameras and a smartphone with the super macro mode (all AUCs>0.96). The comparable sensitivity and specificity in keratitis detection are observed between the system and experienced cornea specialists. Our system has the potential to be applied to both digital slit lamp cameras and smartphones to promote the early diagnosis and treatment of keratitis, preventing the corneal blindness caused by keratitis.

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