The Impact of Green Human Resources Management Policies on Employer Brand

The aim of the study is devoted to the conceptual substantiation of assessing the impact of human resource management from the standpoint of environmental management i.e., green human resources management on organization’s employer branding. The research relevance is embedded in the growing importance of the concept of environmental sustainability on a global scale, aimed at preserving the unique conditions of human life, counteracting the growing chaos associated with climate change. The socio-economic and socio-humanitarian spheres are also exposed to environmental threats, as they are an environment in which the ideas and values of "ecological cleanliness" become critical for the survival of society, both in institutional and organizational aspects. With a focus on managing the organization's talents as unique human resources while been conscious of organizations’ environmental footprint, modern organizations develop the brand of employer in the wide context. In the article, the model of an ecological human resources management which influences HR-brand is presented

Multiphase composite coatings: structure and properties

The paper discusses the results of the research into the formation of ion-plasma multiphase coatings. The types of the formed structures are found to be not so diverse, as those formed, for example, in alloy crystallization. The structures observed are basically of globular type and, more rarely, of unclosed dissipative and cellular structures. It is shown that the properties of the coating formed in deposition are largely determined by its surface energy or surface tension. Since the magnitude of the surface tension (surface energy) in most cases is an additive quantity, each of the elements of the coating composition contributes to the total surface energy. In case of simultaneous sputtering of multiphase cathodes, high entropy coatings with an ordered cellular structure and improved mechanical properties are formed

Multiphase composite coatings: structure and properties

The paper discusses the results of the research into the formation of ion-plasma multiphase coatings. The types of the formed structures are found to be not so diverse, as those formed, for example, in alloy crystallization. The structures observed are basically of globular type and, more rarely, of unclosed dissipative and cellular structures. It is shown that the properties of the coating formed in deposition are largely determined by its surface energy or surface tension. Since the magnitude of the surface tension (surface energy) in most cases is an additive quantity, each of the elements of the coating composition contributes to the total surface energy. In case of simultaneous sputtering of multiphase cathodes, high entropy coatings with an ordered cellular structure and improved mechanical properties are formed

Effect of ion-plasma treatment on oxidation-reduction processes in lithium-titanium-zinc ferrites

We examined the effect of nitrogen, oxygen and argon plasma on the diffusion-controlled oxidation-reduction processes in lithium-titanium-zinc ferrite ceramics by measuring the activation energy of electrical conductivity in the depth of the sample. The experimental results show that the high-temperature treatment in polycrystalline ferrites by nitrogen or argon ion plasma greatly accelerates the oxidation-reduction processes in ferrites and changes the process direction depending on the partial pressure of oxygen

Stochastic effects at ripple formation processes in anisotropic systems with multiplicative noise

We study pattern formation processes in anisotropic system governed by the Kuramoto-Sivashinsky equation with multiplicative noise as a generalization of the Bradley-Harper model for ripple formation induced by ion bombardment. For both linear and nonlinear systems we study noise induced effects at ripple formation and discuss scaling behavior of the surface growth and roughness characteristics. It was found that the secondary parameters of the ion beam (beam profile and variations of an incidence angle) can crucially change the topology of patterns and the corresponding dynamics

MEASURES FOR PREVENTING OF THE DELIVERY AND SPREADING OF SEVERE ACUTE RESPIRATORY SYNDROME IN KEMEROVO REGION

Complex of organizational and prophylactic measures for preventing of SARS delivery and spreading on the territory of Kemerovo region taken during 2003 is presented. Readiness of hospital and desinfectory services for the conducting of anti-epidemic measures is reflected, and problems of Surveillance Centers cooperation with other services and departments, training of medical staff, and also railway and airways staff, guarantee the transportation of passengers

Effect of ion irradiation on tribological properties of composite coatings

The paper discusses the results of the research in the effect of ion irradiation on tribological properties of multiphase ion-plasma coatings. It is shown that all the investigated coatings behave differently under ion irradiation: the Zn-Al, Fe-Al, Zn-Cu-Al coating is radiation-resistant and the friction coefficient does not virtually change; the Cr-Mn-Si-Cu-Fe- Al coating exhibits twofold increase in the friction coefficient, and that for Mn-Fe-Cu-Al coating decreases threefold. These changes are related to changes which occur in the coating surface under ion bombardment

К вопросу эффективности работы маневровых тепловозов на грузовых терминалах

The main shunting operations at the cargo terminal compose of supply of cars for loading and their removal after unloading. The article describes the modes of operation of a shunting diesel locomotive performing these operations. The procedure for calculating in the form of an algorithm for determining performance indicators of a shunting locomotive is given, followed by the results of calculations for performing a technological operation of supplying cars for loading and removing them after unloading by a ChME3 diesel locomotive at the cargo terminal. The necessity of increasing the requirements for quality of control decisions made by drivers of shunting diesel locomotives is determined. The criterion for evaluating the use of one or another locomotive control mode has been adjusted. These studies are aimed at ensuring control in the most efficient way, providing for a reduction in fuel consumption by shunting diesel locomotives and thereby reducing the cost of shunting work at the cargo terminal, the costs for owners of cargo terminals. Also, a comparative analysis of the use of various options for controlling a diesel locomotive for the most common operation, supply of five cars for loading and their removal after unloading, at the cargo terminal under specified operating conditions is performed and presented. The cost of fuel saved through the use of a rational mode of control of a shunting locomotive has been determined.Основными маневровыми операциями на грузовом терминале являются подача вагонов под погрузку и их уборка после выгрузки. В статье описаны режимы работы маневрового тепловоза, выполняющего эти операции. Приведены порядок расчёта в виде алгоритма определения показателей работы маневрового тепловоза, а также результаты расчётов выполнения технологической операции подачи вагонов под погрузку и их уборки после выгрузки тепловозом ЧМЭ3 на грузовом терминале. Определена необходимость повышения требований к качеству принимаемых управленческих решений машинистами маневровых тепловозов. Скорректирован критерий оценки использования того или иного режима управления тепловозом. Данные исследования направлены на обеспечение управления наиболее эффективным способом, обеспечивающим сокращение расхода топлива маневровыми тепловозами и снижение тем самым себестоимости маневровой работы на грузовом терминале, затрат владельцев грузовых терминалов. Также выполнен ипредставлен сравнительный анализ применения различных вариантов управления тепловозом для наиболее распространённой операции, подачи пяти вагонов под погрузку и их уборки после выгрузки, на грузовом терминале при заданных условиях эксплуатации. Определена стоимость сэкономленного топлива от использования рационального режима управления маневровым тепловозом

A novel approach to identify genes that determine grain protein deviation in cereals

Grain yield and protein content were determined for six wheat cultivars grown over 3years at multiple sites and at multiple nitrogen (N) fertilizer inputs. Although grain protein content was negatively correlated with yield, some grain samples had higher protein contents than expected based on their yields, a trait referred to as grain protein deviation (GPD). We used novel statistical approaches to identify gene transcripts significantly related to GPD across environments. The yield and protein content were initially adjusted for nitrogen fertilizer inputs and then adjusted for yield (to remove the negative correlation with protein content), resulting in a parameter termed corrected GPD. Significant genetic variation in corrected GPD was observed for six cultivars grown over a range of environmental conditions (a total of 584 samples). Gene transcript profiles were determined in a subset of 161 samples of developing grain to identify transcripts contributing to GPD. Principal component analysis (PCA), analysis of variance (ANOVA) and means of scores regression (MSR) were used to identify individual principal components (PCs) correlating with GPD alone. Scores of the selected PCs, which were significantly related to GPD and protein content but not to the yield and significantly affected by cultivar, were identified as reflecting a multivariate pattern of gene expression related to genetic variation in GPD. Transcripts with consistent variation along the selected PCs were identified by an approach hereby called one-block means of scores regression (one-block MSR)

Discovering study-specific gene regulatory networks

This article has been made available through the Brunel Open Access Publishing Fund.Microarrays are commonly used in biology because of their ability to simultaneously measure thousands of genes under different conditions. Due to their structure, typically containing a high amount of variables but far fewer samples, scalable network analysis techniques are often employed. In particular, consensus approaches have been recently used that combine multiple microarray studies in order to find networks that are more robust. The purpose of this paper, however, is to combine multiple microarray studies to automatically identify subnetworks that are distinctive to specific experimental conditions rather than common to them all. To better understand key regulatory mechanisms and how they change under different conditions, we derive unique networks from multiple independent networks built using glasso which goes beyond standard correlations. This involves calculating cluster prediction accuracies to detect the most predictive genes for a specific set of conditions. We differentiate between accuracies calculated using cross-validation within a selected cluster of studies (the intra prediction accuracy) and those calculated on a set of independent studies belonging to different study clusters (inter prediction accuracy). Finally, we compare our method's results to related state-of-the art techniques. We explore how the proposed pipeline performs on both synthetic data and real data (wheat and Fusarium). Our results show that subnetworks can be identified reliably that are specific to subsets of studies and that these networks reflect key mechanisms that are fundamental to the experimental conditions in each of those subsets