The development of human resources (HR) plays a crucial role in determination and support of Business strategies (BS). The present paper aimed at studying the human resource management (HRM) and Business strategies alignment. This descriptive-survey study has an applied objective. The data collection is done through library research and applying a researcher-made questionnaire to confirm the research hypothesis.\n\nThe statistical population of the study consisted of managers and experts at Nayer Pars Mapna Company; the subjects were selected by random sampling method. The findings indicated that there would be a meaningful alignment between HR and Business strategies

This paper aims at introducing a soft topology via soft preopen sets. We define soft preopen sets and prove some of its properties. Also we state and prove the condition for collection of soft preopen sets to be a soft topology

Cascaded H-bridge multilevel inverters generate voltage waveforms with negligible waveform distortion. For high level multilevel inverters (MLI), the number of isolated sources and switching devices used by the cascaded H-bridge multilevel inverter is very high. This paper proposes an advanced cascaded H-bridge multilevel inverter which differs from the conventional one based on the number of isolated power sources and power switching devices used for high level inverter. The proposed 27 level and 81 level asymmetrical cascaded H-bridge multilevel inverters have minimum number of isolated sources, switching devices and reduced waveform distortion when compared to conventional cascaded H-bridge multilevel inverters. The 2 KW 27 Level and 81 Level Asymetric Cascaded H-Bridge Multi Level Inverter circuit is simulated by using MATLAB/simulink software and the results are validated with hardware setup. These results are compared with traditional cascaded H-Bridge inverter and this proposed method gives better performance.

This article aims to assess the variability of extreme heavy precipitation events with duration of 120 min in the area of Cracow, Southern Poland. The analysis was performed using time series of maximum annual precipitation events with durations t = 5, 10, 15, 30, 60 and 120 minutes, recorded at the “Botanical Garden” station at the Jagiellonian University in the period of 1906-1990. The periodicity of precipitation was analyzed using the autocorrelation function and Fourier spectral density analysis. Empirical and theoretical distributions were matched by using the Fisher-Tippett distribution (type III min). The Probable Maximum Precipitation (PMP) was calculated by Hershfield’s statistical method. The analysis of the autocorrelation function of sequences and the Fourier spectral density revealed a clear periodicity of the maximum precipitation. For precipitation with t = 60 min., the maximum values occur every 9 years, but also shorter periods (3-year) may be observed. The PMP values calculated for Cracow differ significantly from the values calculated using the probability distribution, as well as from the ones observed and they increase with increasing precipitation duration. Differences between the PMP and probable as well as observed precipitation tend to decrease with increasing duration of precipitation.

The problem of uncertainty estimations in acoustic investigations, especially the standard uncertainty estimation is presented in the hereby paper. The main attention is focused on the estimation process of the type A standard uncertainty defined by the standard deviation of the mean of the measurement results. It is usually determined by means of the classic variance estimators, under the following assumptions: the normality of measurements results, adequate sample size, lack of correlation between elements of the sample and observation equivalence. However, such assumption in relation to the acoustic measurements is rather questionable. This is the reason, that the authors – in their previous papers - indicated the necessity of implementation of non-classical statistical solutions (robust statistic). Algorithms of the kernel estimation and the resampling bootstrap method were proposed for the estimation of the type A uncertainty.\nThe comparison of the estimation results of the type A standard uncertainty of long-term noise indicators LDEN and LN obtained by means of three different estimators is given in the present paper. A classic unbiased variance estimator, the non-parametric density function estimator it means the kernel estimator and the resampling technique – the bootstrap method – were used. The investigations were carried out on the same statistic samples, which enabled the direct comparison of the results and the selection of the most accurate estimator (among the ones used in the present paper) of the type A uncertainty.