Iskanje po katalogu digitalne knjižnice

Opis: In this paper, we explore the extent to which individualistic and collectivist national cultural orientations are essential for green innovation. In this context, we also examine the extent of green innovation in countries at different levels of socioeconomic development. All data were collected for the latest available year (2020). This research was carried out on a sample of 60 selected countries, using parametric tests to identify statistically significant differences between variables and descriptive statistics to examine statistically significant differences in-depth. The results show that, on average, countries with prevailing individualistic cultural orientations and high levels of socioeconomic development perform better in green innovation than countries with prevailing collectivist cultural orientations. On average, countries with a prevailing individualistic cultural orientation scored moderate on green innovation, while countries with a prevailing collectivist orientation scored low. However, the level of socioeconomic development, including designing and implementing green policies, was recognized as essential to green innovation in both national cultures with prevailing individualistic orientations and national cultures with prevailing collectivist orientations.
Ključne besede: green innovation, national culture, individualism, collectivism, parametric statistics, descriptive statistics
Objavljeno v DKUM: 02.07.2025; Ogledov: 0; Prenosov: 2
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Opis: The use of weather satellite recordings has been growing rapidly over the last three decades. Determining the patterns between meteorological and topographical features is an important scientific job. Cloud cover analysis and properties can be of the utmost significance for potential cloud seeding. Here, the analysis of the cloud properties was conducted by means of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite recordings. The resolution of used data was 1 km2 within the period of 30 years (1989-2019). This research showed moderate changing of cloudiness in the territory of Serbia with a high cloudiness in February, followed by cloudiness in January and November. For the past three decades, May has been the month with the highest cloudiness. The regions in the east and south-west, and particularly in the west, have a high absolute cloudiness, which is connected with the high elevation of the country. By means of long term monitoring, the whole territory of Serbia was analyzed for the first time, in terms of cloudiness. Apart from the statistical and numerical results obtained, this research showed a connection between relief and clouds, especially in the winter season. Linear regression MK (Mann-Kendall test) has proven this theory right, connecting high elevation sides with high absolute cloudiness through the year.
Ključne besede: clowd cover, remote sensing, GIS, topography, statistics, trends
Objavljeno v DKUM: 18.10.2024; Ogledov: 0; Prenosov: 9
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Opis: This dataset contains a collection of teaching materials that were used in the HybridNeuro project webinar titled "Validation of results: statistical models and MU identification accuracy". The webinar was presented by Aleš Holobar and covered the complexities of motor unit (MU) identification accuracy, regression analysis and Bayesian models. The primary aim of the webinar was to spark a robust discussion within the scientific community, particularly focusing on the application and implications of linear mixed models and Bayesian regression in the realm of MU identification. The teaching materials include Matlab and R source code for statistical analysis of the included data, as well as three examples of MU identification results in CSV format (from both synthetic and experimental HDEMG signals). The presentation slides in PDF format are also included. The dataset is approximately 9 MB in size.
Ključne besede: HybridNeuro, webinar, teaching materials, statistical models, regression analysis, motor unit identification, matlab, rstudio, statistics, surface high density electromyogram (HDEMG), tibialis anterior, dataset
Objavljeno v DKUM: 30.05.2024; Ogledov: 221; Prenosov: 37
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Ključne besede: energy statistics, energy policies, transport sector, hydrogen
Objavljeno v DKUM: 27.10.2023; Ogledov: 486; Prenosov: 10
Celotno besedilo (14,78 MB)
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Opis: We systematically study the chaotic signatures in a quantum many-body system consisting of an ensemble of interacting two-level atoms coupled to a single-mode bosonic field, the so-called extended Dicke model. The presence of the atom–atom interaction also leads us to explore how the atomic interaction affects the chaotic characters of the model. By analyzing the energy spectral statistics and the structure of eigenstates, we reveal the quantum signatures of chaos in the model and discuss the effect of the atomic interaction. We also investigate the dependence of the boundary of chaos extracted from both eigenvalue-based and eigenstate-based indicators on the atomic interaction. We show that the impact of the atomic interaction on the spectral statistics is stronger than on the structure of eigenstates. Qualitatively, the integrablity-to-chaos transition found in the Dicke model is amplified when the interatomic interaction in the extended Dicke model is switched on.
Ključne besede: quantum chaos, extended Dicke model, spectral statistics, eigenstate structure
Objavljeno v DKUM: 13.10.2023; Ogledov: 345; Prenosov: 38
Celotno besedilo (3,46 MB)
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