Introduction
The survival of children with stage 4(M) neuroblastoma without MYCN amplification and below the age of 18 months is considered better than the still dismal outcome of older high‐risk ...neuroblastoma patients. This study analyzes the impact of clinical and molecular characteristics on the long‐term outcome.
Patients and methods
Clinical presentation, survival, and recurrence patterns of patients enrolled onto trials NB90, NB97, and NB2004 were retrospectively analyzed. Gene expression signatures based on RNA microarrays (TH10) were investigated if tumor material was available.
Results
Between 1990 and 2015, 177 patients with stage 4(M) MYCN nonamplified neuroblastoma aged less than 18 months at diagnosis were eligible. After a median follow‐up of 9.7 years (IQR 5.0, 13.4), the proportions of 10‐year event‐free survival (EFS) and overall survival (OS) were 73% (95% confidence interval CI 67–79%) and 86% (95% CI 80–92%), respectively. Of the 27 neuroblastoma recurrences, 44% occurred in more than one site. Four additional patients presented histologically mature ganglioneuroma at recurrence. Six patients developed a secondary malignancy. The secondary 5‐year EFS and OS of the 27 patients with neuroblastoma recurrence were 44% and 59%, respectively. TH10 gene expression signature was not prognostically predictive in the investigated subcohort.
Conclusion
The outcome of patients with stage 4(M) neuroblastoma aged less than 18 months is favorable when treated with high‐risk or otherwise intensive therapy. The development of secondary malignancies and the potential of maturation to ganglioneuroma call for a controlled stepwise reduction of treatment intensity.
The research subject is a multivariate analysis of the air-flow classification process of the straw heap with a predetermined fractional composition supplied to the cleaning after the drum destroyer. ...The work objective is to identify patterns of the air separation using three pneumatic ducts with a linkage parameter variation. The investigative technique is an analytical modeling. The effect of probabilistic characteristics of the heterogenic thrashed heap supply, airflow velocity distribution by the separator width, and density function of heap components terminal velocity on the separation is evaluated. The air-flow classification process on each section of the pneumatic duct is considered. To this end, the mathematical expressions averaging the air classification indicators of the consistently functioning three pneumatic ducts and a stochastic quasistatic mathematical model of the separator operation with three pneumatic ducts in series are used. The results of the separator parametric synthesis and its technological parameters are presented. The fractional constituents of the heap components and their percent-sizes in each air-classified fraction are shown. The possibility of the air-flow classification of the crushed straw heap in the predetermined factions at the preset productivity of 0.6-0.7 kg/m∙s is revealed. It is found that under the rational functioning of the air separator, the straw content in the service faction is 97.03%. In this case, the minimum grain content is 0.03%, and mineral impurities are 0%. It is revealed that the air separator with three pneumatic ducts in series is sufficient for separating the crushed straw heap with the predetermined agro-technical requirements.
Web mining taxonomy Griazev, Kiril; Ramanauskaite, Simona
2018 Open Conference of Electrical, Electronic and Information Sciences (eStream),
2018-Apr.
Conference Proceeding
The information publication on the Internet increases the information accessibility. However, the amount of data on the Internet increases rapidly and it becomes difficult to find the needed ...information among multiple possible sources. Therefore, automated tools for web mining gain their popularity and seek to simplify the gathering of the information, published on the internet. The purpose of information gathering as well as web page development technologies, format of published data and other properties might be different therefore different web mining methods exist. However, there is no clear classification or a complete list of web mining techniques therefore it is difficult to fully understand the web mining area. In this paper we present a new web mining taxonomy, designed to clarify the web mining area. The taxonomy will serve as classification methodology and will allow classification of existing web mining technologies or methods according to clearly defined criteria and categories.
This paper presents preliminary results on evaluating the NeuroSky Mindwave headset for upper body motion intention classification. An artificial neural network (ANN) is trained by using a data set ...built for two different feature extraction methods, one based on the wavelet transform (WT) and another based on the use of spectrograms. Since there are five different types of brain waves,(α, β, γ, Δ, θ) some data aggregation procedures are proposed to reduce the dimensionality of the data set. The classification results show that it is possible to attain a 73.1% of assertion rate.
EN The present project addresses the creation of a classifier to automatically discern which topics are being discussed on Twitter. A series of groupings of words are obtained from the Latent ...Dirichlet Allocation algorithm. However, the theme associated with each group of words is not provided. In this project a classifier trained with Wikipedia is proposed to discern what the topics of the LDA exit are about. The classifier has been applied to a tweet dataset of US cities. for the extraction of the categories that most users talk about.
ES El presente proyecto aborda la creación de un clasificador para discernir de manera automática de qué temas se están hablando en Twitter. A partir de el algoritmo Latent Dirichlet Allocation se obtienen una serie de agrupaciones de palabras. Sin embargo, no se proporciona el tema asociado a cada grupo de palabras. En este proyecto se propone un clasificador entrenado con Wikipedia para discernir de qué tratan los temas de la salida de LDA. El clasificador se ha aplicado a un dataset de Tuits de ciudaddes de EE.UU. para la extracción de las categor¿¿as de las que más hablan los usuarios.
ES El presente proyecto aborda la creación de un clasificador para discernir de manera automática de qué temas se están hablando en Twitter. A partir de el algoritmo Latent Dirichlet Allocation se obtienen una serie de agrupaciones de palabras. Sin embargo, no se proporciona el tema asociado a cada grupo de palabras. En este proyecto se propone un clasificador entrenado con Wikipedia para discernir de qué tratan los temas de la salida de LDA. El clasificador se ha aplicado a un dataset de Tuits de ciudaddes de EE.UU. para la extracción de las categor¿¿as de las que más hablan los usuarios.
EN The present project addresses the creation of a classifier to automatically discern which topics are being discussed on Twitter. A series of groupings of words are obtained from the Latent Dirichlet Allocation algorithm. However, the theme associated with each group of words is not provided. In this project a classifier trained with Wikipedia is proposed to discern what the topics of the LDA exit are about. The classifier has been applied to a tweet dataset of US cities. for the extraction of the categories that most users talk about.
Lingual Semiotics of Absolute Power in the Tudors’ Times Astafurova, Tatyana; Olyanich, Andrey
Vestnik Volgogradskogo gosudarstvennogo universiteta. Serii͡a︡ 2, I͡A︡zykoznanie.,
12/2017, Letnik:
16, Številka:
4
Journal Article
Recenzirano
Odprti dostop
The paper addresses the phenomenon of absolute power enablement in Great Britain of the 15th-16th centuries from the perspective of social semiotics and semantics: it includes the definition of ...obligatory and optional parameters of power and identification of its lingual-semiotic, ethno-cultural and semantic features. The Anglo-Saxon absolute power generates a lingual semiotic space that is structured with a system of verbal and nonverbal signs of various complexity and content; they perform their iconic, directive, evaluative and presentation functions to exercise maximum authoritative impact. Special attention is paid to royal rituals as the power is enabled through them. The case study reveals semiotic, ritual and nominative means of power representation in times of the royal dynasty of the Tudors (1485-1603), a period reputed as England's "Golden Age". The semantic space of Anglo-Saxon absolute power is composed from lexical units that nominate subjects, objects, tools and resources of royal power (economic, social, political), as well as its authority actions, conditions and processes that depict the stages of «birth, life and death" of power in general and formation, distribution and enactment of power in England of the Anglo-Saxon era, represented by the specific conceptual and lingua-cultural sphere by means of non-verbal (material) and verbal signs.
This study focuses on the characteristics of the information database of the OECD structural business statistics in the analysis of markets of goods and services, and macroeconomic trends. The system ...of indicators of structural statistics is presented in OECD publications and on-line access to a wide range of users. Collected data sources generated by the OECD offices are based on the national statistical offices of country-members, Russia and the BRICS. Data on the development of economic sectors are calculated according to the methodology of individual countries, regional and international standards: annual national accounts of countries, annual industry and business surveys, methodology of short-term indicators, statistics of international trade in goods. Data are aggregated on the basis of complex indicators statements of the enterprises' questionnaire and business surveys. Information system of structural statistics which is available and continuously updated, has certain features. It is composed of several subsystems: Structural Statistics on Industry and Services, EU entrepreneurship statistics, Indicators of Industry and Services, International Trade in Commodities Statistics. The grouping of industries is based on the International standard industrial classification of all economic activities (ISIC). Classification of foreign trade flows is made in accordance with the Harmonized system of description and coding of goods. The structural statistics databases comprise four classes of industries' grouping according to the technology intensity. The paper discusses the main reasons for the non-comparability of data in the subsystems in certain time intervals.
This study focuses on the characteristics of the information database of the OECD structural business statistics in the analysis of markets of goods and services, and macroeconomic trends. The system ...of indicators of structural statistics is presented in OECD publications and on-line access to a wide range of users. Collected data sources generated by the OECD offices are based on the national statistical offices of country-members, Russia and the BRICS. Data on the development of economic sectors are calculated according to the methodology of individual countries, regional and international standards: annual national accounts of countries, annual industry and business surveys, methodology of short-term indicators, statistics of international trade in goods. Data are aggregated on the basis of complex indicators statements of the enterprises' questionnaire and business surveys. Information system of structural statistics which is available and continuously updated, has certain features. It is composed of several subsystems: Structural Statistics on Industry and Services, EU entrepreneurship statistics, Indicators of Industry and Services, International Trade in Commodities Statistics. The grouping of industries is based on the International standard industrial classification of all economic activities (ISIC). Classification of foreign trade flows is made in accordance with the Harmonized system of description and coding of goods. The structural statistics databases comprise four classes of industries' grouping according to the technology intensity. The paper discusses the main reasons for the non-comparability of data in the subsystems in certain time intervals.
This study focuses on the characteristics of the information database of the OECD structural business statistics in the analysis of markets of goods and services, and macroeconomic trends. The system ...of indicators of structural statistics is presented in OECD publications and on-line access to a wide range of users. Collected data sources generated by the OECD offices are based on the national statistical offices of country-members, Russia and the BRICS. Data on the development of economic sectors are calculated according to the methodology of individual countries, regional and international standards: annual national accounts of countries, annual industry and business surveys, methodology of short-term indicators, statistics of international trade in goods. Data are aggregated on the basis of complex indicators statements of the enterprises' questionnaire and business surveys. Information system of structural statistics which is available and continuously updated, has certain features. It is composed of several subsystems: Structural Statistics on Industry and Services, EU entrepreneurship statistics, Indicators of Industry and Services, International Trade in Commodities Statistics. The grouping of industries is based on the International standard industrial classification of all economic activities (ISIC). Classification of foreign trade flows is made in accordance with the Harmonized system of description and coding of goods. The structural statistics databases comprise four classes of industries' grouping according to the technology intensity. The paper discusses the main reasons for the non-comparability of data in the subsystems in certain time intervals.
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