Long-range percolation on the hierarchical lattice

We study long-range percolation on the hierarchical lattice of order $N$, where any edge of length $k$ is present with probability $p_k=1-\exp(-\beta^{-k} \alpha)$, independently of all other edges. For fixed $\beta$, we show that the critical value $\alpha_c(\beta)$ is non-trivial if and only if $N < \beta < N^2$. Furthermore, we show uniqueness of the infinite component and continuity of the percolation probability and of $\alpha_c(\beta)$ as a function of $\beta$. This means that the phase diagram of this model is well understood.Comment: 24 page

The experience of social adaptation problem solving in the Donbass region of Ukraine

Old industrial regions such as Donbass region in Ukraine, require intensive restructurization to facilitate them full participation in the economic life of the country on equal rights as other regions of Ukraine as well as to ensure proper life conditions to the inhabitants of these regions, in which huge part of the country's population concentrate. Now this problem is solving mostly by means of technical closing of unprofitable enterprises. Especially it concerns the coal mine industry. This is a right way assuming that exists a real program of restructuring which includes not only the main steps of it but also the evaluation of all the process along with estimation of social transition cost. But because of absence of a sober policy in this process and poor information dissemination the government gets into a much more complicated problem - the growth of social unprotection, unsettleness and pauperization of a huge layer of the active able-bodied population. Such social cost of ungrounded restructurization is difficult to be accepted in modern state. In order to facilitate process of adaptation of population to new conditions the International Renaissance Foundation with Polish partners have jointly launched a project aimed at the development and dissemination of a strategy and methods of economic and social problems solving which connected to the process of restructurization of old industrial regions in countries in transition. The main topics of the project: - Regional community member's awareness. - General education, training the present and future managerial cadre, re-qualification and socio-professional reconversion. - Role of information in the process of restructurization. - Transformation the old and setting up new enterprises. - Creation and improvement of the instruments and the institutions of regional restructurization. - Conducting a forum of public dialogue. There are steps that have been already done on the way of project implementation: - Quantitative investigations - sociological analysis of four sites in Donetsk region mostly populated with coal miner's families. - Qualitative investigations on the above mentioned topics. - Three workshops conducted in Donetsk region (sities of Donetsk, Mekeevka and Stakhanov). - One workshop conducted in Gliwice (Poland). All the workshops were dedicated to investigation of the approaches to the creation of a decision making strategy which would help to solve problems of industrial restructurization, rebuilding of country's economy, and economic and social consequences of this processes. Along with the project implementation there have been established the Agency for Regional Development in Donetsk as an institution that is aimed to help the economic reforms promotion and practical implementation of the steps on structural rebuilding in the Donetsk region. In addition, two centers for Social Adaptation of Coal Miners were set in the sites of closed coal mines in Donetsk with the help of the International Renaissance Foundation. The future development of this project assumes to widen the circle of its participants including representatives from Nord-Rhein Westphalen (Germany) and Nord-Pas-de-Calais (France). The overall objective of the new phase of it is to use the combined experience of the project partners in order to develop and implement strategies which effectively address the economic problems caused by the decline in the coal mine industry. Key words: restructurization, social adaptation, decision making strategy.

The experience of social adaptation problem solving in the Donbass region of Ukraine

Old industrial regions such as Donbass region in Ukraine, require intensive restructurization to facilitate them full participation in the economic life of the country on equal rights as other regions of Ukraine as well as to ensure proper life conditions to the inhabitants of these regions, in which huge part of the country's population concentrate. Now this problem is solving mostly by means of technical closing of unprofitable enterprises. Especially it concerns the coal mine industry. This is a right way assuming that exists a real program of restructuring which includes not only the main steps of it but also the evaluation of all the process along with estimation of social transition cost. But because of absence of a sober policy in this process and poor information dissemination the government gets into a much more complicated problem - the growth of social unprotection, unsettleness and pauperization of a huge layer of the active able-bodied population. Such social cost of ungrounded restructurization is difficult to be accepted in modern state. In order to facilitate process of adaptation of population to new conditions the International Renaissance Foundation with Polish partners have jointly launched a project aimed at the development and dissemination of a strategy and methods of economic and social problems solving which connected to the process of restructurization of old industrial regions in countries in transition. The main topics of the project: - Regional community member's awareness. - General education, training the present and future managerial cadre, re-qualification and socio-professional reconversion. - Role of information in the process of restructurization. - Transformation the old and setting up new enterprises. - Creation and improvement of the instruments and the institutions of regional restructurization. - Conducting a forum of public dialogue. There are steps that have been already done on the way of project implementation: - Quantitative investigations - sociological analysis of four sites in Donetsk region mostly populated with coal miner's families. - Qualitative investigations on the above mentioned topics. - Three workshops conducted in Donetsk region (sities of Donetsk, Mekeevka and Stakhanov). - One workshop conducted in Gliwice (Poland). All the workshops were dedicated to investigation of the approaches to the creation of a decision making strategy which would help to solve problems of industrial restructurization, rebuilding of country's economy, and economic and social consequences of this processes. Along with the project implementation there have been established the Agency for Regional Development in Donetsk as an institution that is aimed to help the economic reforms promotion and practical implementation of the steps on structural rebuilding in the Donetsk region. In addition, two centers for Social Adaptation of Coal Miners were set in the sites of closed coal mines in Donetsk with the help of the International Renaissance Foundation. The future development of this project assumes to widen the circle of its participants including representatives from Nord-Rhein Westphalen (Germany) and Nord-Pas-de-Calais (France). The overall objective of the new phase of it is to use the combined experience of the project partners in order to develop and implement strategies which effectively address the economic problems caused by the decline in the coal mine industry. Key words: restructurization, social adaptation, decision making strategy

Examples of Ontology Model Usage in Engineering Fields

The proposed research deals with the improvement of engineering knowledge classification and recognition by means of ontology usage. Ontology model allows structure information as well as to raises the effectiveness of search. Research describes the development of ontology models for engineering knowledge in Internet portal and modeling system for the classification and recognition of marine objects. The ontology model usage for the engineering knowledge portal development allows to systematize data and knowledge, to organize search and navigation, to describe informational and computational recourses according to the meta-notion standards. The description of modeling system subject domain is based on ontology that allows to realize the recognition of marine objects based on their parameters

Ontology for Application Development

The chapter describes the process of ontology development for different subject domains for application designing. The analysis of existing approaches to ontology development for software platform realization in some subject domains is depicted. The example of ontology model development for telecom operator billing system based on descriptive logic is shown. For ontology model designing, it is proposed to use two formal theories: descriptive logic and set theory, which allow to systematize data and knowledge, to organize search and navigation, and to describe informational and computational recourses according to the meta-notion standards

The Genome of the Netherlands:design, and project goals

Within the Netherlands a national network of biobanks has been established (Biobanking and Biomolecular Research Infrastructure-Netherlands (BBMRI-NL)) as a national node of the European BBMRI. One of the aims of BBMRI-NL is to enrich biobanks with different types of molecular and phenotype data. Here, we describe the Genome of the Netherlands (GoNL), one of the projects within BBMRI-NL. GoNL is a whole-genome-sequencing project in a representative sample consisting of 250 trio-families from all provinces in the Netherlands, which aims to characterize DNA sequence variation in the Dutch population. The parent-offspring trios include adult individuals ranging in age from 19 to 87 years (mean = 53 years; SD = 16 years) from birth cohorts 1910-1994. Sequencing was done on blood-derived DNA from uncultured cells and accomplished coverage was 14-15x. The family-based design represents a unique resource to assess the frequency of regional variants, accurately reconstruct haplotypes by family-based phasing, characterize short indels and complex structural variants, and establish the rate of de novo mutational events. GoNL will also serve as a reference panel for imputation in the available genome-wide association studies in Dutch and other cohorts to refine association signals and uncover population-specific variants. GoNL will create a catalog of human genetic variation in this sample that is uniquely characterized with respect to micro-geographic location and a wide range of phenotypes. The resource will be made available to the research and medical community to guide the interpretation of sequencing projects. The present paper summarizes the global characteristics of the project.</p

The Genome of the Netherlands: Design, and project goals

Within the Netherlands a national network of biobanks has been established (Biobanking and Biomolecular Research Infrastructure-Netherlands (BBMRI-NL)) as a national node of the European BBMRI. One of the aims of BBMRI-NL is to enrich biobanks with different types of molecular and phenotype data. Here, we describe the Genome of the Netherlands (GoNL), one of the projects within BBMRI-NL. GoNL is a whole-genome-sequencing project in a representative sample consisting of 250 trio-families from all provinces in the Netherlands, which aims to characterize DNA sequence variation in the Dutch population. The parent-offspring trios include adult individuals ranging in age from 19 to 87 years (mean=53 years; SD=16 years) from birth cohorts 1910-1994. Sequencing was done on blood-derived DNA from uncultured cells and accomplished coverage was 14-15x. The family-based design represents a unique resource to assess the frequency of regional variants, accurately reconstruct haplotypes by family-based phasing, characterize short indels and complex structural variants, and establish the rate of de novo mutational events. GoNL will also serve as a reference panel for imputation in the available genome-wide association studies in Dutch and other cohorts to refine association signals and uncover population-specific variants. GoNL will create a catalog of human genetic variation in this sample that is uniquely characterized with respect to micro-geographic location and a wide range of phenotypes. The resource will be made available to the research and medical community to guide the interpretation of sequencing projects. The present paper summarizes the global characteristics of the project

Improved imputation quality of low-frequency and rare variants in European samples using the ‘Genome of The Netherlands'

Although genome-wide association studies (GWAS) have identified many common variants associated with complex traits, low-frequency and rare variants have not been interrogated in a comprehensive manner. Imputation from dense reference panels, such as the 1000 Genomes Project (1000G), enables testing of ungenotyped variants for association. Here we present the results of imputation using a large, new population-specific panel: the Genome of The Netherlands (GoNL). We benchmarked the performance of the 1000G and GoNL reference sets by comparing imputation genotypes with ‘true' genotypes typed on ImmunoChip in three European populations (Dutch, British, and Italian). GoNL showed significant improvement in the imputation quality for rare variants (MAF 0.05–0.5%) compared with 1000G. In Dutch samples, the mean observed Pearson correlation, r2, increased from 0.61 to 0.71. We also saw improved imputation accuracy for other European populations (in the British samples, r2 improved from 0.58 to 0.65, and in the Italians from 0.43 to 0.47). A combined reference set comprising 1000G and GoNL improved the imputation of rare variants even further. The Italian samples benefitted the most from this combined reference (the mean r2 increased from 0.47 to 0.50). We conclude that the creation of a large population-specific reference is advantageous for imputing rare variants and that a combined reference panel across multiple populations yields the best imputation results

A high-quality human reference panel reveals the complexity and distribution of genomic structural variants

Structural variation (SV) represents a major source of differences between individual human genomes and has been linked to disease phenotypes. However, the majority of studies provide neither a global view of the full spectrum of these variants nor integrate them into reference panels of genetic variation. Here, we analyse whole genome sequencing data of 769 individuals from 250 Dutch families, and provide a haplotype-resolved map of 1.9 million genome variants across 9 different variant classes, including novel forms of complex indels, and retrotransposition-mediated insertions of mobile elements and processed RNAs. A large proportion are previously under reported variants sized between 21 and 100 bp. We detect 4 megabases of novel sequence, encoding 11 new transcripts. Finally, we show 191 known, trait-associated SNPs to be in strong linkage disequilibrium with SVs and demonstrate that our panel facilitates accurate imputation of SVs in unrelated individuals