Dr. Aleksandra Bilewicz from the University of Warsaw tells us what the Społem Association once was, what has survived of it, and what led to its demise.

The paper is dedicated to the names of associations from the period of the Second Polish Republic, taken from a publication which is a guide to the rich and differentiated world of the social organizations of the 1930s.

The introduction is devoted to the state of Polish linguistic research into the names of organizations. The description of the collected material is based on the concept of social chrematonymy by Artur Gałkowski.

Next, the names are investigated from both a structural and a semantic perspective. The following elements are regarded as distinct qualities of the naming structures: descriptive character, multicomponent structure, development of right-sided attributives, insignificant share of names with a separate distinctive element, including some other types of proper names as components (toponyms, anthroponyms, names of historical events). Also, lexemes in the function of the main component of the analysed structures — nouns having the semantic value of ‘formalized group of people’ – have been presented.

When analysing the semantic aspect of names of organizations more closely, the author indicates the most frequently exposed bases of community feeling of members. Those could be: common experience, social and professional status, the purpose of activity, gender, generation, religious identity, nationality, ideology, place of activity or founding an organization. In the majority of names, various elements of community feeling are combined.

Finally, attention is paid to the tremendous informative value present in the names of associations, connected with their descriptive quality. The close link between socioideonyms and the reality they are connected with means that they are bearers of various historical-cultural contents.

Therefore, the names of associations, especially historical ones, might be an interesting object of culture-oriented linguistic studies.

This paper presents the current stage of the development of EA-MOSGWA – a tool for identifying causal genes in Genome Wide Association Studies (GWAS). The main goal of GWAS is to identify chromosomal regions which are associated with a particular disease (e.g. diabetes, cancer) or with some quantitative trait (e.g height or blood pressure). To this end hundreds of thousands of Single Nucleotide Polymorphisms (SNP) are genotyped. One is then interested to identify as many SNPs as possible which are associated with the trait in question, while at the same time minimizing the number of false detections.

The software package MOSGWA allows to detect SNPs via variable selection using the criterion mBIC2, a modified version of the Schwarz Bayesian Information Criterion. MOSGWA tries to minimize mBIC2 using some stepwise selection methods, whereas EA-MOSGWA applies some advanced evolutionary algorithms to achieve the same goal. We present results from an extensive simulation study where we compare the performance of EA-MOSGWA when using different parameter settings. We also consider using a clustering procedure to relax the multiple testing correction in mBIC2. Finally we compare results from EA-MOSGWA with the original stepwise search from MOSGWA, and show that the newly proposed algorithm has good properties in terms of minimizing the mBIC2 criterion, as well as in minimizing the misclassification rate of detected SNPs.

Conservation of genetic resources by semen cryopreservation is essential for biodiversity conservation and storage of rare poultry breeds. Despite the widespread use of this method not all individuals presentia similar capacity for semen to be used after defrosting. The aim of the current study was to identify SNP markers and linked candidate genes potentially associated with rooster (Gallus gallus) sperm motility after cryopreservation. Genome-wide association studies were performed using 33 roosters from four breeds genotyped using Illumina Chicken 60K SNP BeadChip Calculations were performed using PLINK and EMMAX software. Significant SNP associations rs15557972 (p<1.36E-07) on chromosome 10 in the LOXL1 gene and rs15751385 (p<6.10E-06) on chromosome 6 in the intron of the ENSGALG00000052127 gene were identified. These findings associated with sperm motility SNPs will help to develop strategies for the selection of valuable individuals and the efficient conservation of the gene pool.

The paper focuses on Osip Mandelstam's Tristia cycle of poems, who proceeded to express the condition of a wronged person in the form of a lament, regret. The key principle of a poetic lament consisted in a contrast, which is why the authors of elegies opted for adopting a linear order, placing the consolatio as the final sequence. Mandelstam puts this linearity into question as an advocate of Bergson's notion of discontinuity of time, allowing to perceive a diversity of phenomena in their systemic manifestations as totally discrete, and yet – also in their wholeness. The linkage between the poet’s output and the philosophy of death, as revealed in Tristia, does not eliminate the notion of consolation, which reflects well Mandelstam's project of creating the language of joy, his vision of the world as a cultural whole, or his pet project of “universal domestication”. This is meant to shift attention to the so-called “things”, that may offer comfort derived from within the very act of experiencing beauty in its sensual dimension. The notion of gentleness is also essential, as it may well offer consolation as an indispensable component of being.

The article discusses the circumstances surrounding the founding of the Association of Polish Writers Abroad (SPPzG) by Dr. Alina Siomkajło in London in 2010, oppositional to the Union of Polish Writers Abroad (ZPPnO), also in Great Britain, which had been active since 1945. The method of qualitative analysis was used to review the anti-communist content, the right-wing magazine.

Power big data contains a lot of information related to equipment fault. The analysis and processing of power big data can realize fault diagnosis. This study mainly analyzed the application of association rules in power big data processing. Firstly, the association rules and the Apriori algorithm were introduced. Then, aiming at the shortage of the Apriori algorithm, an IM-Apriori algorithm was designed, and a simulation experiment was carried out. The results showed that the IM-Apriori algorithm had a significant advantage over the Apriori algorithm in the running time. When the number of transactions was 100 000, the running of the IM-Apriori algorithm was 38.42% faster than that of the Apriori algorithm. The IM-Apriori algorithm was little affected by the value of supportmin. Compared with the Extreme Learning Machine (ELM), the IM-Apriori algorithm had better accuracy. The experimental results show the effectiveness of the IM-Apriori algorithm in fault diagnosis, and it can be further promoted and applied in power grid equipment.

Staphylococcus aureus (S. aureus) has been recognized as one of the important zoonotic pathogens. However, it was limited about the epidemiology and genetic characteristics of S. aureus isolated from pigs in Hunan province, china. The aim of this study was to determine the characteristics of 163 S. aureus isolated from 590 pigs in Hunan Province, China. All isolates were characterized by agr typing, detection of virulence genes and antibiotic resistance genes, lethal test of mice and antibiotic susceptibility tests. The results showed that 30 strains of the 163 isolates were divided into agrI (18.40%), agrII (36/163, 22.09%), agrIII (20/163, 12.27%,), agrIV (20/163,12.27%) and the remaining 57 isolates were amplified negative by agr primers. In the 163 isolates, the detection rate of the virulence genes hlb, hld, hla, icaA, seb, fnbA, eta, etb, sea, tst and pvl ranged from 2.45% to 100%. The 43 isolates that were lethal to the mice, had β-hemolytic activity, the number of virulence genes of which was 7.8% higher than that of the remaining 120 non-fatal strains. The resistance rates of the 163 isolates to the 15 antibiotics were 0% (0/163) - 100% (163/163). All isolates were susceptible to Vancomycin and only 7 isolates were methicillin - resistant S. aureus (MRSA). The detection rates of the 11 resistance genes was 0% (0/163) - 100% (163/163). This study first to describes the epidemiology and characteristics of S. aureus from pigs in Hunan Province, which will help in tracking the evolution of epidemic strains and preventing pig-human transmission events.

This article proposes a model describing the nature of associative processes as diagnostic cues for formulating attitudes and judgments. The assumption of the model is that attitudes, judgments and behaviours are based on how people selectively activate, interpret and integrate previously associated signals (selectively limiting the excess of information from both the senses and from our immediate environment). The model specifies which factors hinder or facilitate the formulation of associations between diagnostic signals and how it translates into attitudes, judgments and behaviours. To test the predictions derived from this model, we first showed that linguistic cues of diminutives can indicate physical properties – they were associated with the belief that the described objects were smaller but also worse or less valuable. The second line of research dealt with embodied moral judgments – we demonstrated that the usage of a hand over heart gesture led to more honest behaviour, an increase in judgments of honesty but also reduced tendency to lie for one's own profit. Our findings also suggest that using “standing at attention” body manipulation increased participants' submissiveness to the experimenter and their obedience to norms. This pattern of results suggests that the described model integrates perspectives of embodied cognition and social cognition, documenting the cognitive mechanism needed to formulate and adjust attitudes and judgments.

As the delivery of good quality software in time is a very important part of the software development process, it's a very important task to organize this process very accurately. For this, a new method of the searching associative rules were proposed. It is based on the classification of all tasks on three different groups, depending on their difficulty, and after this, searching associative rules among them, which will help to define the time necessary to perform a specific task by the specific developer.

The process of cognitive aging in global sense can be characterised by changes of the fluid and crystallised intelligence. In the context of this explanation the basic question is which cognitive functions and regulatory mechanisms play the basic role of the determinants for cognitive aging. Probable, mechanism of associative memory play a central role in top-down direction of cognitive processing. This type of memory connect the resources/networks of long term memory with the current processing in working memory. Another set of mechanisms concerns with bottom-up direction based on procedural memory, which is fundamental for the functioning of the mind as whole (Tulving theory,1985). Unfortunately, our knowledge about associative memory and its relations to working and procedural memory is incomplete and unclear. The importance of associative memory are partly, empirically supported by classic research on decreasing the cognitive components of intelligence aging, since the fluid and crystallized intelligence where discovered (Horn, Cattell, 1967). Changes of the mind functioning and its cognitive growth/aging can be characterised as a complex chain from primary, biologically determined mind, through Piagetian and Vygotsky’s type of mind to relatively balanced mind.