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33. Marketing ekoloških proizvodov v izbranem podjetju : diplomska nalogaJure Ozimek, 2020, diplomsko delo Ključne besede: ekološka živila, marketing ekoloških živil, vrednote, cena, blagovna znamka, poreklo, nakupno odločanje, hipoteze, promocije Objavljeno v RUP: 20.11.2020; Ogledov: 983; Prenosov: 40 Celotno besedilo (699,51 KB) |
34. Importance of traditional landscapes in Slovenia for conservation of endangered butterflySara Zupan, Elena Bužan, Valentina Brečko Grubar, Jure Jugovic, 2020, izvirni znanstveni članek Ključne besede: mosaic landscape, cultural heritage, habitat fragmentation, False Ringlet, western and central Slovenia, Coenonympha oedippus Objavljeno v RUP: 10.11.2020; Ogledov: 1575; Prenosov: 38 Povezava na celotno besedilo |
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, izvirni znanstveni članek Opis: : 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. Ključne besede: gut microbiota, nutrition, obesity, lifestyle parameters, clustering Objavljeno v RUP: 10.09.2020; Ogledov: 1315; Prenosov: 72 Povezava na celotno besedilo |
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37. Varovalni dejavniki, prehrana in življenjski slog s primerom remisije pri multipli sklerozi : zaključna nalogaJure Strajnšak, 2020, diplomsko delo Ključne besede: multipla skleroza, varovalni dejavniki, mikrobiom, gluten, vitamin D, toksičnost težkih kovin, živo srebro, kelatorji Objavljeno v RUP: 23.07.2020; Ogledov: 1494; Prenosov: 21 Povezava na celotno besedilo |
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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, izvirni znanstveni članek Ključne besede: brackish water, coastal wetlands, community ecology, PERMANOVA, salinity Objavljeno v RUP: 11.02.2020; Ogledov: 1620; Prenosov: 190 Povezava na celotno besedilo |
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