scholarly journals Кремаційний могильник ранньозалізного віку Монастирок-2 на Волині

Author(s):  
Андрій Б. Бадецький ◽  
◽  
Валерій О. Самолюк ◽  

The article presents materials from the recently discovered cremation cemetery of the pre-Scythian period Monastyrok-2, Rivne region (Ukraine). Collection was obtained during filed walking prospections and small scale excavations. Classification of all materials was carried out and on the basis of the given analogies a general dating was proposed between end of X and VIII century BC.

2018 ◽  
Vol 79 (8) ◽  
pp. 35-40
Author(s):  
M. I. Kuznetsova

One of the goals of the Russian language course in the primary school is the formation of the communicative literacy. The content of the course should be aimed at understanding the wealth of linguistic means by primary school children; the formation of the ability to detect a violation of linguistic norms and the inadequacy of the linguistic means used in the speech situation; the accumulation of the experience in choosing of linguistic means in accordance with the peculiarities of the speech situation; the creation of oral and written texts that meet the criteria of content, connectivity, compliance with the norms of the Russian literary language. The article considers the classification of exercises that contribute to the formation of communicative literacy. The author gives the examples of exercises where the student acts in different roles: the student is an observer of the speech situation and analyzes the adequacy of the choice of linguistic means; the student is a direct participant in the given speech situation and makes a choice of language facilities; the student is offered to create the speech situation himself, to independently construct an oral and written text.


Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 134
Author(s):  
Loai Abdallah ◽  
Murad Badarna ◽  
Waleed Khalifa ◽  
Malik Yousef

In the computational biology community there are many biological cases that are considered as multi-one-class classification problems. Examples include the classification of multiple tumor types, protein fold recognition and the molecular classification of multiple cancer types. In all of these cases the real world appropriately characterized negative cases or outliers are impractical to achieve and the positive cases might consist of different clusters, which in turn might lead to accuracy degradation. In this paper we present a novel algorithm named MultiKOC multi-one-class classifiers based K-means to deal with this problem. The main idea is to execute a clustering algorithm over the positive samples to capture the hidden subdata of the given positive data, and then building up a one-class classifier for every cluster member’s examples separately: in other word, train the OC classifier on each piece of subdata. For a given new sample, the generated classifiers are applied. If it is rejected by all of those classifiers, the given sample is considered as a negative sample, otherwise it is a positive sample. The results of MultiKOC are compared with the traditional one-class, multi-one-class, ensemble one-classes and two-class methods, yielding a significant improvement over the one-class and like the two-class performance.


Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1373
Author(s):  
Yueh-Yu Lin ◽  
Felix Schleifer ◽  
Markus Holzinger ◽  
Na Ta ◽  
Birgit Skrotzki ◽  
...  

The effectiveness of the mechanism of precipitation strengthening in metallic alloys depends on the shapes of the precipitates. Two different material systems are considered: tetragonal γ′′ precipitates in Ni-based alloys and tetragonal θ′ precipitates in Al-Cu-alloys. The shape formation and evolution of the tetragonally misfitting precipitates was investigated by means of experiments and phase-field simulations. We employed the method of invariant moments for the consistent shape quantification of precipitates obtained from the simulation as well as those obtained from the experiment. Two well-defined shape-quantities are proposed: (i) a generalized measure for the particles aspect ratio and (ii) the normalized λ2, as a measure for shape deviations from an ideal ellipse of the given aspect ratio. Considering the size dependence of the aspect ratio of γ′′ precipitates, we find good agreement between the simulation results and the experiment. Further, the precipitates’ in-plane shape is defined as the central 2D cut through the 3D particle in a plane normal to the tetragonal c-axes of the precipitate. The experimentally observed in-plane shapes of γ′′-precipitates can be quantitatively reproduced by the phase-field model.


2016 ◽  
Vol 95 (2) ◽  
pp. 209-213
Author(s):  
YUEYUE LI ◽  
JIE-TAI YU

Let $A_{2}$ be a free associative algebra or polynomial algebra of rank two over a field of characteristic zero. The main results of this paper are the classification of noninjective endomorphisms of $A_{2}$ and an algorithm to determine whether a given noninjective endomorphism of $A_{2}$ has a nontrivial fixed element for a polynomial algebra. The algorithm for a free associative algebra of rank two is valid whenever an element is given and the subalgebra generated by this element contains the image of the given noninjective endomorphism.


2002 ◽  
Vol 1 (4) ◽  
pp. 87-92
Author(s):  
N. M. Kondratyeva ◽  
V. D. Zavadovskaya ◽  
E. B. Kravets ◽  
E. V. Gorbatenko ◽  
L. S. Strelis

Girls-teenagers (n = 85) aged from 8 to 18 years having diabetes mellitus (DM) of the 1st type were investigated using ultrasonography method. Based upon decreasing and disproportion of the body and neck of the uterus, changed Mecho thickness and ovaries structure, different parameter of blood flow, we worked out classification of the four stages of sexual development delay (SDD) (0 stage in 15 girls, I stage in 26 girls, II stage in 20 girls and III stage in 21 girls). Comparative analysis of clinical and ultrasound studies showed the advantage of ultrasound study to assess status of internal genital organs in girls and teenagers having DM. Investigation performed based upon E. Tanner classification revealed SDD 40 girls, bimanual examination in 45 girls, sonography method — in 82 girls. The given ultrasound classification of sexual development delay in girls-teenagers having DM of the 1st type contributes to diagnosis and prescribing timely effective correction therapy.


2021 ◽  
Vol 70 (7) ◽  
pp. 42-45
Author(s):  
Ю.П. Зайченко ◽  
С.Н. Семенова ◽  
О.В Бабак
Keyword(s):  

The article is devoted to the classification of geographical terminology in R. Kipling’s fairy-tale “The Cat That Walked by Himself” in Russian and English. The relevance of the given study is due to the productivity of vocabulary from many sciences in fiction in the framework of various linguistic studies. The authors of the article constructed tables and a diagram. The data obtained in the course of the study were systematized in Russian and English. The frequency of words and concepts was revealed and comments were given.


2021 ◽  
Vol 297 ◽  
pp. 01071
Author(s):  
Sifi Fatima-Zahrae ◽  
Sabbar Wafae ◽  
El Mzabi Amal

Sentiment classification is one of the hottest research areas among the Natural Language Processing (NLP) topics. While it aims to detect sentiment polarity and classification of the given opinion, requires a large number of aspect extractions. However, extracting aspect takes human effort and long time. To reduce this, Latent Dirichlet Allocation (LDA) method have come out recently to deal with this issue.In this paper, an efficient preprocessing method for sentiment classification is presented and will be used for analyzing user’s comments on Twitter social network. For this purpose, different text preprocessing techniques have been used on the dataset to achieve an acceptable standard text. Latent Dirichlet Allocation has been applied on the obtained data after this fast and accurate preprocessing phase. The implementation of different sentiment analysis methods and the results of these implementations have been compared and evaluated. The experimental results show that the combined uses of the preprocessing method of this paper and Latent Dirichlet Allocation have an acceptable results compared to other basic methods.


2020 ◽  
Vol 60 (11) ◽  
pp. 134-137
Author(s):  
Dilara Rashid Khanbabayeva ◽  

The presented article deals with the classification of English synonyms. The notion of phraseology is wide.Here concepts of some distinguished scientists are presented in the given article. Phraseology (from Greek φράσις phrasis, "way of speaking" and -λογία -logia, "study of") is a scholarly approach to language which developed in the twentieth century. It took its start when Charles Bally's notion of locutions phraseologiques entered Russian lexicology and lexicography in the 1930s and 1940s and was subsequently developed in the former Soviet Union and other Eastern European countries. From the late 1960s on it established itself in (East) German linguistics but was also sporadically approached in English linguistics. The earliest English adaptations of phraseology are by Weinreich (1969) within the approach of transformational grammar, Arnold (1973), and Lipka. In Great Britain as well as other Western European countries, phraseology has steadily been developed over the last twenty years. The activities of the European Society of Phraseology (EUROPHRAS) and the European Association for Lexicography (EURALEX) with their regular conventions and publications attest to the prolific European interest in phraseology. European scholarship in phraseology is more active than in North America. Bibliographies of recent studies on English and general phraseology are included in Welte (1990) and specially collected in Cowie & Howarth (1996) whose bibliography is reproduced and continued on the internet and provides a rich source of the most recent publications in the field. Key words: phraseology,synonym,language,linguistics,scientist


Land ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 319 ◽  
Author(s):  
Mohamed Ali Mohamed

In this study, a knowledge-based fuzzy classification method was used to classify possible soil-landforms in urban areas based on analysis of morphometric parameters (terrain attributes) derived from digital elevation models (DEMs). A case study in the city area of Berlin was used to compare two different resolution DEMs in terms of their potential to find a specific relationship between landforms, soil types and the suitability of these DEMs for soil mapping. Almost all the topographic parameters were obtained from high-resolution light detection and ranging (LiDAR)-DEM (1 m) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)-DEM (30 m), which were used as thresholds for the classification of landforms in the selected study area with a total area of about 39.40 km2. The accuracy of both classifications was evaluated by comparing ground point samples as ground truth data with the classification results. The LiDAR-DEM based classification has shown promising results for classification of landforms into geomorphological (sub)categories in urban areas. This is indicated by an acceptable overall accuracy of 93%. While the classification based on ASTER-DEM showed an accuracy of 70%. The coarser ASTER-DEM based classification requires additional and more detailed information directly related to soil-forming factors to extract geomorphological parameters. The importance of using LiDAR-DEM classification was particularly evident when classifying landforms that have narrow spatial extent such as embankments and channel banks or when determining the general accuracy of landform boundaries such as crests and flat lands. However, this LiDAR-DEM classification has shown that there are categories of landforms that received a large proportion of the misclassifications such as terraced land and steep embankments in other parts of the study area due to the increased distance from the major rivers and the complex nature of these landforms. In contrast, the results of the ASTER-DEM based classification have shown that the ASTER-DEM cannot deal with small-scale spatial variation of soil and landforms due to the increasing human impacts on landscapes in urban areas. The application of the approach used to extract terrain parameters from the LiDAR-DEM and their use in classification of landforms has shown that it can support soil surveys that require a lot of time and resources for traditional soil mapping.


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