scholarly journals An evaluation of Bayesian age estimation using the auricular surface in modern Greek material

2018 ◽  
Vol 291 ◽  
pp. 1-11 ◽  
Author(s):  
Efthymia Nikita ◽  
Panagiota Xanthopoulou ◽  
Elena Kranioti
Keyword(s):  
Age Estimation ◽  
Modern Greek ◽  
Auricular Surface

scholarly journals The auricular surface as age indicator in a modern Greek sample: A test of two qualitative methods

2017 ◽  
Vol 280 ◽  
pp. 246.e1-246.e7 ◽  
Author(s):  
Effrosyni Michopoulou ◽  
Pierrick Negre ◽  
Efthymia Nikita ◽  
Elena F. Kranioti
Keyword(s):  
Qualitative Methods ◽  
Modern Greek ◽  
Auricular Surface

Age estimation from the auricular surface of the ilium: A revised method

2002 ◽  
Vol 119 (3) ◽  
pp. 231-239 ◽  
Author(s):  
J.L. Buckberry ◽  
A.T. Chamberlain
Keyword(s):  
Age Estimation ◽  
Auricular Surface

COMPARISION OF DENTAL SCORING SYSTEM WITH RADIOGRAPHIC SKELETAL SYSTEM IN AGE ESTIMATION

JKCD ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 9-11
Author(s):  
Sadaf Ambreen
Keyword(s):  
Age Estimation ◽  
Scoring System ◽  
Skeletal Age ◽  
Chronological Age ◽  
Age Group ◽  
Dental Age ◽  
Scoring Method ◽  
Cross Sectional ◽  
Study Results ◽  
Male Subjects

Objectives: To compare Demirjian Dental scoring method with Greulich-Pyle (GP) Skeletal method of age estimation in pubertal children. Materials and Methods: Sample of the study included 267 male healthy subjects of 11-16 years of age group.. Demirjian Scoring system was utilized to evaluate the orthopantomograms to assess their Dental age and the Hand-Wrist radiographs were analyzed to calculate the skeletal age by utilizing GP atlas. Chronological age was obtained from the date of birth of the subject .Both methods were compared with one another and with the chronological age. It was a cross-sectional study and only healthy male subjects without any clinical abnormalities were included in the study. Results: A total of 267 male subjects of 11-16 years of age group were assessed by Demirjian and Greulich Pyle Methods. Both were compared with Chronological Age. Data obtained was statistically analyzed and the Student “t” test was applied in the study population. The mean difference between Chronolgical age and dental age was 0.69years and that of chronological age and skeletal age was 0.87 years. It was observed from dental age assessment that it does not differ much from the skeletal age. Conclusion: It was concluded that Demirjian method of Age Estimation is more precise than Greulich Pyle method of Age Estimation. Furthermore both methods can be used selectively in Medicolegal cases to access bone age which can be easily correlated to chronological age.

Modern Greek V V dvandva compounds: A linguistic innovation in the history of the Indo-European languages

2009 ◽  
Vol 2 (1) ◽  
pp. 48-68 ◽  
Author(s):  
Angela Ralli
Keyword(s):  
Language Contact ◽  
High Rate ◽  
Compound Formation ◽  
Modern Greek ◽  
Late Medieval Period ◽  
European Languages ◽  
History Of ◽  
Internal Change ◽  
Contact Situation ◽  
Asian Languages

This paper deals with [V V] dvandva compounds, which are frequently used in East and Southeast Asian languages but also in Greek and its dialects: Greek is in this respect uncommon among Indo-European languages. It examines the appearance of this type of compounding in Greek by tracing its development in the late Medieval period, and detects a high rate of productivity in most Modern Greek dialects. It argues that the emergence of the [V V] dvandva pattern is not due to areal pressure or to a language-contact situation, but it is induced by a language internal change. It associates this change with the rise of productivity of compounding in general, and the expansion of verbal compounds in particular. It also suggests that the change contributes to making the compound-formation patterns of the language more uniform and systematic. Claims and proposals are illustrated with data from Standard Modern Greek and its dialects. It is shown that dialectal evidence is crucial for the study of the rise and productivity of [V V] dvandva compounds, since changes are not usually portrayed in the standard language.

On the morphosyntax of synthetic compounds with proper names: A case study on the diachrony of Greek

2020 ◽  
Vol 13 (2) ◽  
pp. 189-210
Author(s):  
Artemis Alexiadou
Keyword(s):  
Proper Names ◽  
Synthetic Compounds ◽  
Modern Language ◽  
Modern Greek

This paper discusses the formation of synthetic compounds with proper names. While these are possible in English, Greek disallows such formations. However, earlier stages of the language allowed such compounds, and in the modern language formations of this type are possible as long as they contain heads that are either bound roots or root- derived nominals of Classical Greek origin. The paper builds on the following ingredients: a) proper names are phrases; b) synthetic compounding in Modern Greek involves incorporation, and thus proper names cannot incorporate; c) by contrast, English synthetic compounds involve phrasal movement, and thus proper names can appear within compounds in this language. It is shown that in earlier Greek, proper names had the same status as their English counterparts, hence the possibility of synthetic compounds with proper names. It is further argued that the formations that involve bound/archaic roots are actually cases of either root compounding or root affixation and not synthetic compounds.

A Review of Different Techniques of Age Estimation from Human Face

2018 ◽  
Vol 4 (10) ◽  
pp. 6
Author(s):  
Khemchandra Patel ◽  
Dr. Kamlesh Namdev
Keyword(s):  
Age Estimation ◽  
Real Life ◽  
Extraction Methods ◽  
Human Face ◽  
Age Changes ◽  
Missing Children ◽  
Different Types ◽  
Age Variation ◽  
Human Faces ◽  
Facial Age

Age changes cause major variations in the appearance of human faces. Due to many lifestyle factors, it is difficult to precisely predict how individuals may look with advancing years or how they looked with "retreating" years. This paper is a review of age variation methods and techniques, which is useful to capture wanted fugitives, finding missing children, updating employee databases, enhance powerful visual effect in film, television, gaming field. Currently there are many different methods available for age variation. Each has their own advantages and purpose. Because of its real life applications, researchers have shown great interest in automatic facial age estimation. In this paper, different age variation methods with their prospects are reviewed. This paper highlights latest methodologies and feature extraction methods used by researchers to estimate age. Different types of classifiers used in this domain have also been discussed.

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