ISO standards and quality costs as instruments of Companies’Competitive advantage

This article examines the selected instruments of quality policy. The importance of quality changes over time, because nowadays it is seen not as a target but as a way of functioning of the entire organization. The company, which can operate in a competitive market, must invest in quality. Evaluation of the effectiveness of the quality management system can be developed by analyzing the cost of a quality that can draw attention to the prevention of deficiency

Impact of fiscal, monetary and structural economic policies on the growth rates of leading economies : 2000-2016

The article analyzes the impact of measures and instruments of fiscal, monetary, and structural economic policies on the growth rates of the economies of many countries around the world from 2000 to 2016, considering the provisions of the structural theory of development. The dynamics of the following indicators of national economies is analyzed: GDP growth rate; total tax rate, central government debt; domestic credit to the private sector; consumer price inflation; high-tech exports as a share of country industrial exports and in value terms. It was revealed that for balanced long-term growth of the economy, it is necessary that the structure of the national economy should include industries whose exported goods are characterized by high elasticity of demand, and goods imported by low elasticity of demand. Selective tools of state stimulating economic policy should be aimed at industries that can generate innovations and promote the dissemination of the results of technological progress.peer-reviewe

Organization of University Corporate Interaction with Employers in the Process of Realization of the Basic Educational Programs

The authors raise the issue of using the entrepreneurial approach in the implementation of major educational programs in higher education, offering to organize the process of interaction with the focus on one of the major groups of stakeholders of the educational organization – employers

Transition Metall-Free C-H/C-H and C-LI/C-H Coupling in the Synthesis of New Azaheterocycles Derivatives

The study was carried out with the financial support of the Russian Foundation for Basic Research in the framework of a research project 18-33-00226 and Russian Science Foundation as part of a research project 18-73-00088

Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations

© 2018 Gorlova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Gene-level analysis of ImmunoChip or genome-wide association studies (GWAS) data has not been previously reported for systemic sclerosis (SSc, scleroderma). The objective of this study was to analyze genetic susceptibility loci in SSc at the gene level and to determine if the detected associations were shared in African-American and White populations, using data from ImmunoChip and GWAS genotyping studies. The White sample included 1833 cases and 3466 controls (956 cases and 2741 controls from the US and 877 cases and 725 controls from Spain) and the African American sample, 291 cases and 260 controls. In both Whites and African Americans, we performed a gene-level analysis that integrates association statistics in a gene possibly harboring multiple SNPs with weak effect on disease risk, using Versatile Gene-based Association Study (VEGAS) software. The SNP-level analysis was performed using PLINK v.1.07. We identified 4 novel candidate genes (STAT1, FCGR2C, NIPSNAP3B, and SCT) significantly associated and 4 genes (SERBP1, PINX1, TMEM175 and EXOC2) suggestively associated with SSc in the gene level analysis in White patients. As an exploratory analysis we compared the results on Whites with those from African Americans. Of previously established susceptibility genes identified in Whites, only TNFAIP3 was significant at the nominal level (p = 6.13x10-3) in African Americans in the gene-level analysis of the ImmunoChip data. Among the top suggestive novel genes identified in Whites based on the ImmunoChip data, FCGR2C and PINX1 were only nominally significant in African Americans (p = 0.016 and p = 0.028, respectively), while among the top novel genes identified in the gene-level analysis in African Americans, UNC5C (p = 5.57x10-4) and CLEC16A (p = 0.0463) were also nominally significant in Whites. We also present the gene-level analysis of SSc clinical and autoantibody phenotypes among Whites. Our findings need to be validated by independent studies, particularly due to the limited sample size of African Americans

Applying optimization models for the formation of the management system of business processes

The purpose of this paper is to build a model for the optimization of the management system of business processes of enterprises, taking into account the time factor. Additional limitations in the model allow the influence of the quarantine restrictions on enterprises’ economic activity in the context of the COVID-19 pandemic to be identified. The methods used in this paper are: analysis; synthesis; systematization; theoretical generalization; the method of Charnes and Cooper; the synergistic approach; and modelling. The negative impact of the COVID-19 pandemic on the economic activity of enterprises in Ukraine, in particular in the engineering services sector, is discussed. The economicmathematical model of the rational formation of the management system of the business processes of enterprises in the engineering services sector, taking into account the time factor, is developed. This allows business processes to be optimized and economic activity to be improved in terms of the global pandemic. The results of using the optimization model for the management system of the business processes of project design, electrical maintenance, manufacture of electrical equipment, starting-up and adjustment works, and consulting are presented. The economic-mathematical model is an effective tool for the improvement of quality management systems and the activity of enterprises as a whole. The scientific novelty of this research may be considered from the prospects of two aspects of the optimization of business process systems: 1) the value of the financial resources in time; and 2) the impact of quarantine measures related to restrictions on carrying out economic activities in time. The application of the economic-mathematical model of the optimal organization of business process systems to enterprises in the engineering services sector will allow toplevel managers to receive important information for managerial decision-making, which is aimed at improving the quality of the management system, achieving the key business objectives, and maximizing profit

POISSON project - II - A multi-wavelength spectroscopic and photometric survey of young protostars in L 1641

Characterising stellar and circumstellar properties of embedded young stellar objects (YSOs) is mandatory for understanding the early stages of the stellar evolution. This task requires the combination of both spectroscopy and photometry, covering the widest possible wavelength range, to disentangle the various protostellar components and activities. As part of the POISSON project, we present a multi-wavelength spectroscopic and photometric investigation of embedded YSOs in L1641, aimed to derive the stellar parameters and evolutionary stages and to infer their accretion properties. Our database includes low-resolution optical-IR spectra from the NTT and Spitzer (0.6-40 um) and photometric data covering a spectral range from 0.4 to 1100 um, which allow us to construct the YSOs spectral energy distributions (SEDs) and to infer the main stellar parameters. The SED analysis allows us to group our 27 YSOs into nine Class I, eleven Flat, and seven Class II objects. However, on the basis of the derived stellar properties, only six Class I YSOs have an age of ~10^5 yr, while the others are older 5x10^5-10^6 yr), and, among the Flat sources, three out of eleven are more evolved objects (5x10^6-10^7 yr), indicating that geometrical effects can significantly modify the SED shapes. Inferred mass accretion rates (Macc) show a wide range of values (3.6x10^-9 to 1.2x10^-5 M_sun yr^-1), which reflects the age spread observed in our sample. Average values of mass accretion rates, extinction, and spectral indices decrease with the YSO class. The youngest YSOs have the highest Macc, whereas the oldest YSOs do not show any detectable jet activity in either images and spectra. We also observe a clear correlation among the YSO Macc, M*, and age, consistent with mass accretion evolution in viscous disc models.Comment: 61 pages, 16 figures; A&A in pres

The systemic lupus erythematosus IRF5 risk haplotype is associated with systemic sclerosis

Systemic sclerosis (SSc) is a fibrotic autoimmune disease in which the genetic component plays an important role. One of the strongest SSc association signals outside the human leukocyte antigen (HLA) region corresponds to interferon (IFN) regulatory factor 5 (IRF5), a major regulator of the type I IFN pathway. In this study we aimed to evaluate whether three different haplotypic blocks within this locus, which have been shown to alter the protein function influencing systemic lupus erythematosus (SLE) susceptibility, are involved in SSc susceptibility and clinical phenotypes. For that purpose, we genotyped one representative single-nucleotide polymorphism (SNP) of each block (rs10488631, rs2004640, and rs4728142) in a total of 3,361 SSc patients and 4,012 unaffected controls of Caucasian origin from Spain, Germany, The Netherlands, Italy and United Kingdom. A meta-analysis of the allele frequencies was performed to analyse the overall effect of these IRF5 genetic variants on SSc. Allelic combination and dependency tests were also carried out. The three SNPs showed strong associations with the global disease (rs4728142: P = 1.34×10<sup>−8</sup>, OR = 1.22, CI 95% = 1.14–1.30; rs2004640: P = 4.60×10<sup>−7</sup>, OR = 0.84, CI 95% = 0.78–0.90; rs10488631: P = 7.53×10<sup>−20</sup>, OR = 1.63, CI 95% = 1.47–1.81). However, the association of rs2004640 with SSc was not independent of rs4728142 (conditioned P = 0.598). The haplotype containing the risk alleles (rs4728142*A-rs2004640*T-rs10488631*C: P = 9.04×10<sup>−22</sup>, OR = 1.75, CI 95% = 1.56–1.97) better explained the observed association (likelihood P-value = 1.48×10<sup>−4</sup>), suggesting an additive effect of the three haplotypic blocks. No statistical significance was observed in the comparisons amongst SSc patients with and without the main clinical characteristics. Our data clearly indicate that the SLE risk haplotype also influences SSc predisposition, and that this association is not sub-phenotype-specific

Prioritizing genes associated with prostate cancer development

<p>Abstract</p> <p>Background</p> <p>The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development.</p> <p>Methods</p> <p>A <it>Z </it>score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data.</p> <p>Results</p> <p>Genes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--<it>CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4</it>, and <it>AURKA</it>--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development.</p> <p>Conclusions</p> <p>By using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development.</p