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81.
ECOLOGY OF WILD WINE YEASTS AND THEIR ENOLOGICAL POTENTIAL
Gabrijel Cernigoi, 2017, diplomsko delo

Opis: The aim of the study was to investigate and select indigenous yeasts Saccharomyces cerevisiae and non-conventional yeasts that were isolated during this and previous studies, and than evaluate them for wine production by performing micro-scale vinification experiment
Ključne besede: Saccharomyces, non-conventional yeasts, wine, fermentations
Objavljeno: 17.07.2017; Ogledov: 366; Prenosov: 31
.pdf Polno besedilo (1,09 MB)

82.
Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms
Johannes Fuernkranz, Nada Lavrač, Dragan Gamberger, 2010, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: Features are the main rule building blocks for rule learning algorithms. They can be simple tests for attribute values or complex logical terms representing available domain knowledge. In contrast to common practice in classification rule learning, we argue that separation of the feature construction and rule construction processes has theoretical and practical justification. Explicit usage of features enables a unifying framework of both propositional and relational rule learning and we present and analyze procedures for feature construction in both types of domains. It is demonstrated that the presented procedure for constructing a set of simple features has the property that the resulting set enables construction of complete and consistent rules whenever it is possible, and that the set does not include obviously irrelevant features. Additionally, the concept of feature relevancy is important for the effectiveness of rule learning. It this work, we illustrate the concept in the coverage space and prove that the relative relevancy has the quality-preserving property in respect to the resulting rules. Moreover, we show that the transformation from the attribute to the feature space enables a novel, theoretically justified way of handling unknown attribute values. The same approach enables that estimated imprecision of continuous attributes can be taken into account, resulting in construction of robust features in respect to this imprecision.
Ključne besede: Machine learning, Feature construction, Rule learning, Unknown attribute values
Objavljeno: 14.07.2017; Ogledov: 274; Prenosov: 0
.pdf Polno besedilo (365,76 KB)

83.
Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy
Antonija Krstačić, Paolo Castiglioni, Dragan Gamberger, Gianfranco Parati, Goran Krstačić, Robert Steiner, 2012, izvirni znanstveni članek

Opis: Complexity-based analyses may quantify abnormalities in heart rate variability (HRV). The aim of this study was to investigate the clinical and prognostic significances of dynamic HRV changes in patients with stress-induced cardiomyopathy Takotsubo syndrome (TS) by means of linear and nonlinear analysis. Patients with TS were included in study after complete noninvasive and invasive cardiovascular diagnostic evaluation and compared to an age and gender matched control group of healthy subjects. Series of R–R interval and of ST–T interval values were obtained from 24-h ECG recordings after digital sampling. HRV analysis was performed by ‘range rescaled analysis’ to determine the Hurst exponent, by detrended fluctuation analysis to quantify fractal longrange correlation properties, and by approximate entropy to assess time-series predictability. Short- and long-term fractal-scaling exponents were significantly higher in patients with TS in acute phases, opposite to lower approximate entropy and Hurst exponent, but all variables normalized in a few weeks. Dynamic HRV analysis allows assessing changes in complexity features of HRV in TS patients during the acute stage, and to monitor recovery after treatment, thus complementing traditional ECG and clinically analysis.
Ključne besede: Heart rate variability, Nonlinear dynamics, Chaos theory, Stress-induced cardiomyopathy, Takotsubo syndrome
Objavljeno: 13.07.2017; Ogledov: 298; Prenosov: 0
.pdf Polno besedilo (742,92 KB)

84.
A note on composition (m,n)-hyperrings
Irina Cristea, Morteza Norouzi, 2017, izvirni znanstveni članek

Opis: Based on the concepts of composition ring and composition hyperring, in this note we introduce the notion of composition structure for (m,n)-hyperrings and study the connections with composition hyperrings. Moreover we show that particular strong endomorphisms of (m,n)-hyperrings can determine the composition structure of such (m,n)-hyperrings. Finally, the three isomorphism theorems are presented in the case of composition (m, n)-hyperrings, showing that they are not a pure extension of those for composition hyperrings.
Ključne besede: n-hypergroup, (m, n)-hyperring, composition hyperideal
Objavljeno: 13.07.2017; Ogledov: 303; Prenosov: 0
.pdf Polno besedilo (884,23 KB)

85.
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87.
Še daleč do tretjega pasu
Zoran Božič, Danijel Cek, 2017, polemika, diskusijski prispevek, komentar

Opis: Članek o nujnosti načrtovanja in izgradnje šestpasovne avtoceste na relaciji Ljubljana - Razdrto. Na tem odseku je več prometa kot na avtocestah v sosednjih državah, ki že imajo večinoma še tretji vozni pas.
Ključne besede: Slovenija, avtocesta, Ljubljana-Razdrto, promet, načrtovanje, Primorska, prometne nesreče
Objavljeno: 12.07.2017; Ogledov: 220; Prenosov: 0
.pdf Polno besedilo (707,91 KB)

88.
Electronic Business 2016/17
Donatella Gubiani, 2016

Ključne besede: e-commerce, websites, html, css, php, sql, javascript
Objavljeno: 11.07.2017; Ogledov: 304; Prenosov: 0
.pdf Polno besedilo (5,13 MB)

89.
Basics of information and communication technologies 2016/2017
Donatella Gubiani, 2017, drugo učno gradivo

Ključne besede: flow chart, programming language, python
Objavljeno: 11.07.2017; Ogledov: 311; Prenosov: 0
.pdf Polno besedilo (939,52 KB)

90.
Geographic information systems
Donatella Gubiani, 2017, drugo učno gradivo

Ključne besede: geographic information systems, qGIS, spatial data
Objavljeno: 11.07.2017; Ogledov: 336; Prenosov: 0
.pdf Polno besedilo (2,70 MB)

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