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33. Marketing ekoloških proizvodov v izbranem podjetju : diplomska nalogaJure Ozimek, 2020, undergraduate thesis Keywords: ekološka živila, marketing ekoloških živil, vrednote, cena, blagovna znamka, poreklo, nakupno odločanje, hipoteze, promocije Published in RUP: 20.11.2020; Views: 998; Downloads: 40 Full text (699,51 KB) |
34. Importance of traditional landscapes in Slovenia for conservation of endangered butterflySara Zupan, Elena Bužan, Valentina Brečko Grubar, Jure Jugovic, 2020, original scientific article Keywords: mosaic landscape, cultural heritage, habitat fragmentation, False Ringlet, western and central Slovenia, Coenonympha oedippus Published in RUP: 10.11.2020; Views: 1583; Downloads: 38 Link to full text |
35. Obesity measures and dietary parameters as predictors of gut microbiota phyla in healthy individualsKatja Bezek, Ana Petelin, Jure Pražnikar, Esther Nova, Noemi Redondo, Marcos Ascensión, Zala Jenko Pražnikar, 2020, original scientific article Abstract: : The dynamics and diversity of human gut microbiota that can remarkably influence the wellbeing and health of the host are constantly changing through the host%s lifetime in response to various factors. The aim of the present study was to determine a set of parameters that could have a major impact on classifying subjects into a single cluster regarding gut bacteria composition. Therefore, a set of demographical, environmental, and clinical data of healthy adults aged 25%50 years (117 female and 83 men) was collected. Fecal microbiota composition was characterized using Illumina MiSeq 16S rRNA gene amplicon sequencing. Hierarchical clustering was performed to analyze the microbiota data set, and a supervised machine learning model (SVM; Support Vector Machines) was applied for classification. Seventy variables from collected data were included in machine learning analysis. The agglomerative clustering algorithm suggested the presence of four distinct community types of most abundant bacterial phyla. Each cluster harbored a statistically significant different proportion of bacterial phyla. Regarding prediction, the most important features classifying subjects into clusters were measures of obesity (waist to hip ratio, BMI, and visceral fat index), total body water, blood pressure, energy intake, total fat, olive oil intake, total fiber intake, and water intake. In conclusion, the SVM model was shown as a valuable tool to classify healthy individuals based on their gut microbiota composition. Keywords: gut microbiota, nutrition, obesity, lifestyle parameters, clustering Published in RUP: 10.09.2020; Views: 1329; Downloads: 72 Link to full text |
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37. Varovalni dejavniki, prehrana in življenjski slog s primerom remisije pri multipli sklerozi : zaključna nalogaJure Strajnšak, 2020, undergraduate thesis Keywords: multipla skleroza, varovalni dejavniki, mikrobiom, gluten, vitamin D, toksičnost težkih kovin, živo srebro, kelatorji Published in RUP: 23.07.2020; Views: 1505; Downloads: 21 Link to full text |
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39. Dragonfly (Odonata) diversity patterns in mixohaline coastal wetlandsCostanza Uboni, Jure Jugovic, Enrico Tordoni, Elisabetta Pizzul, Elisa Riservato, Giovanni Bacaro, 2020, original scientific article Keywords: brackish water, coastal wetlands, community ecology, PERMANOVA, salinity Published in RUP: 11.02.2020; Views: 1623; Downloads: 190 Link to full text |
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