scholarly journals The induced homology and homotopy functors on the coarse shape category

2010 ◽  
Vol 45 (2) ◽  
pp. 531-557 ◽  
Author(s):  
Nikola Koceic Bilan
Keyword(s):  
Shape Category ◽  
Homotopy Functors

scholarly journals Kan extensions of homotopy functors

1978 ◽  
Vol 12 (3) ◽  
pp. 253-269 ◽  
Author(s):  
Allan Calder ◽  
Jerrold Siegel
Keyword(s):  
Kan Extensions ◽  
Homotopy Functors

A Framework of Local Geospatial Data Infrastructure for Sustainable Urban Development

2014 ◽  
Vol 71 (4) ◽  
Author(s):  
Azman Ariffin ◽  
Nabila Ibrahim ◽  
Ghazali Desa ◽  
Uznir Ujang ◽  
Hishamuddin Mohd Ali ◽  
...  
Keyword(s):  
Urban Development ◽  
Spatial Data ◽  
Geospatial Data ◽  
Sustainable Urban Development ◽  
Data Infrastructure ◽  
Shape Category ◽  
Key Dimensions ◽  
Data Layers ◽  
Conceptual Data

This paper addresses the need to develop a Local Geospatial Data Infrastructure (LGDI) for sustainable urban development. This research will highlight the effective and efficient framework for the development of local infrastructure. This paper presents a framework (a combination of domain based and goal based frameworks) for developing a Local Geospatial Data Infrastructure. The basis of this research is on a case study conducted in a Malaysian city. The main focus of the case study was on measuring and assessing sustainability. Six conceptual frameworks were produced based on 6 key dimensions of sustainability. The developed framework consists of 6 conceptual data models and 6 conceptual data structures. It was concluded that 30 spatial data layers are needed of which 12 data layers are categorized as point shape, 17 data layers are categorized as polygon shape and 1 data layer as line shape category.

scholarly journals A note on čech and kan extensions of homotopy functors

1982 ◽  
Vol 25 (3) ◽  
pp. 249-250
Author(s):  
Allan Calder ◽  
Jerrold Siegel
Keyword(s):  
Kan Extensions ◽  
Homotopy Functors

Movable morphisms in strong shape category

2020 ◽  
Vol 275 ◽  
pp. 107001
Author(s):  
P.S. Gevorgyan ◽  
I. Pop
Keyword(s):  
Shape Category

Effects of Categorization on Color Perception

1995 ◽  
Vol 6 (5) ◽  
pp. 298-304 ◽  
Author(s):  
Robert L. Goldstone
Keyword(s):  
Color Perception ◽  
Object Categories ◽  
Shape Category

Subjects were shown simple objects and were asked to reproduce the colors of the objects Even though the objects remained on the screen while subjects reproduced the colors and the objects' shapes were irrelevant to the subjects' task, subjects' color perceptions were influenced by the shape category of an object For example, objects that belonged to categories with redder objects were judged to be more red than identically colored objects belonging to another category Further experiments showed that the object categories that subjects use, rather than being fixed, depend on the objects to which subjects are exposed

scholarly journals Perception of Body Image Among Sportspersons

2020 ◽  
Vol 16 (28) ◽  
Author(s):  
Robert Sándor Szucs ◽  
Eva Polya ◽  
Zoltán Szakaly
Keyword(s):  
Body Image ◽  
Body Shape ◽  
Food Supplements ◽  
Consumer Society ◽  
Self Image ◽  
Shape Category ◽  
The Social ◽  
Social Judgement ◽  
Sport Activities ◽  
Ideal Body

Relationship between body and self-image is a well-known and frequently investigated process. Most especially among athletes, this area has been accentuated till the last decades in the literature. This paper focuses on investigating the attitude of people engaged in sports on a regular basis by concentrating primarily on the perception of their body image, the type and form of sport activities, and the consumption habits of food supplements. After a short literature review, the results of the primary research are introduced. People who took part in the research are engaged in sports on a regular basis, and they do sport activities at least once a week on their own free will. Paper Assisted Personal Interviews (PAPI) was used, primarily concentrating on the attitudes of the respondents. During the research, the following conclusions were made: subjectively perceived “normal” body shape category moving higher and the social judgement of overweight became more and more accepted. Owing to the ideal body shape presented by the consumer society, slimmer people want to become thicker while people with a stronger shape want to become leaner. Hence a social problem come into being that only exist in the athlete’s mind. This phenomenon can fundamentally base the headway of food supplements since the producers offer solutions to all segments’ real or putative problems. The mostly unreal body ideals boost the dissatisfaction of people towards their own bodies. Producers and distributors of food supplements not only emphasize and draw their customers’ attention to the imperfection of their shape, but they also offer a solution to their real or putative problems. The more the consumer is hesitating, the more favourable it is for the producer as the possibility of purchasing is greater.

scholarly journals A chain rule in the calculus of homotopy functors

2002 ◽  
Vol 6 (2) ◽  
pp. 853-887 ◽  
Author(s):  
John R Klein ◽  
John Rognes
Keyword(s):  
Chain Rule ◽  
A Chain ◽  
Homotopy Functors

scholarly journals Contour analysis for interpretable leaf shape category discovery

Plant Methods ◽  
2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Jorge Victorino ◽  
Francisco Gómez
Keyword(s):  
Morphological Analysis ◽  
Leaf Shape ◽  
Classification Systems ◽  
Contour Analysis ◽  
Shape Information ◽  
Essential Requirement ◽  
Domain Experts ◽  
Biological Objects ◽  
Shape Category ◽  
Novel Strategy

Abstract Background The categorical description of leaf shapes is of paramount importance in ecology, taxonomy and paleobotanical studies. Classification systems proposed by domain experts support these descriptions. Despite the importance of these visual descriptive systems, classifications based on this expert’s knowledge may be ambiguous or limited when representing shapes in unknown scenarios, as expected for biological exploratory domains. This work proposes a novel strategy to automatically discover the shape categories in a set of unlabeled leaves by only using the leaf-shape information. In particular, we overcome the task of discovering shape categories from different plant species for three different biological settings. Results The proposed method may successfully infer the unknown underlying shape categories with an F-score greater than 92%. Conclusions The approach also provided high levels of visual interpretability, an essential requirement in the description of biological objects. This method may support morphological analysis of biological objects in exploratory domains.

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