5 research outputs found

    Assessment of karst geomorphosites on Kucaj and Beljanica mountains as a resource for the development of karst-based geopark

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    Protection and promotion of geoheritage has been changing and improving in recent decades, in line with the growing research in this field. Some research papers specifically study geomorphological geoheritage and introduce a special term - geomorphosite. Karst geomorphosites present specific objects of geomorphological heritage. On Kucaj and Beljanica mountains there is the largest karst area in Serbia. The purpose of this paper is to select and evaluate the scientific value of karst geomorphosites of Kucaj and Beljanica. More than one hundred karst geomorphosites were analyzed. In order to achieve more adequate coverage and representation, they were grouped into 25 geomorphotypes in three major geomorphological components of the investigated area. The results of this analysis highlighted the most important natural potentials of this area for establishing a karst-based geopark. More than 20 geomorphotypes have a positive recommendation index, which provides a good basis for further geotourism analysis

    Цијанобактерије и алге из биофилма са улазне зоне Петничке пећине

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    The importance of biofilms in caves, the diversity of microorganisms in them, their mutual relationship and relationship with the substratum are among the advancing research topics in microbial biospeleology. This research is making contribution to the knowledge about biofilms at cave entrances and phototrophic communities in them. In that manner, biofilms from the entrance zone of the Petnica Cave were examined. Light microscopy showed that cyanobacteria were exclusively dominant phototrophs (34 taxa out of 39 total taxa recorded) with coccoid forms prevailing (28 taxa); simple trichal forms were present to a lesser extent, while heterocytous ones were completely absent. Genera Gloeocapsa, Chroococcus,Gloeothece and Leptolyngbya were the most diverse. Four green algal genera characteristic for aerophytic habitats (Apatococcus, Desmococcus, Haematococcus and Trentepohlia) were also recorded, while Bacillariophyta were observed sporadically. Three groups of sampling sites were distinguished based on recorded taxa, their richness and similarity, using non-metric multidimensional scaling (NMDS). Quantitative biofilm characteristics were also assessed – the content of chlorophyll a (Chl a) was determined, as well as the contents of water, organic and inorganic matter. Chl a had a significant positive correlation with the content of organic matter (r=0.904, P=0.013).Значај биофилмова у пећинама, разноврсност микроорганизама у њима, њихов међусобни однос, као и однос са супстратом, спадају у водеће теме истраживања у пољу микробијалне биоспелеологије. Ово истраживање доприноси општем познавању биофилмова на улазима пећина, као и познавању фототрофних заједница које се налазе у њиховом саставу. Имајући то у виду, испитивани су биофилмови са улазне зоне Петничке пећине. Светлосна микроскопија је показала да су цијанобактерије искључиво доминантни фототрофи (забележено је 34 од укупно 39 таксона), са изузетном доминацијом кокоидних форми (28 таксона); трихалне форме (хомоцитни представници) су у биофилму заступљене у мањој мери, док су хетероцитне потпуно одсутне. У родовима Gloeocapsa, Chroococcus, Gloeothece и Leptolyngbya документован је највећи број таксона. Четири рода зелених алги која су иначе карактеристична за аерофитска станишта (Apatococcus, Desmococcus, Haematococcus и Trentepohlia) су такође забележена, док су представници раздела Bacillariophyta нађени спорадично. Статистичка анализа NMDS је показала да су се према сличности, односно на основу таксона који су идентификовани, одвојиле три групе тачака узорковања. Kвантитативне карактеристике биофилма су такође процењене – одређен је садржај хлорофила а (Chl a), као и садржај воде, органске и неорганске материје. Значајнa позитивна корелација (r=0.904, P=0.013) уочена је између садржаја органске материје и Chl a

    On Being Negative

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    This paper investigates the pragmatic expressions of negative evaluation (negativity) in two corpora: (i) comments posted online in response to newspaper opinion articles; and (ii) online reviews of movies, books and consumer products. We propose a taxonomy of linguistic resources that are deployed in the expression of negativity, with two broad groups at the top level of the taxonomy: resources from the lexicogrammar or from discourse semantics. We propose that rhetorical figures can be considered part of the discourse semantic resources used in the expression of negativity. Using our taxonomy as starting point, we carry out a corpus analysis, and focus on three phenomena: adverb + adjective combinations; rhetorical questions; and rhetorical figures. Although the analysis in this paper is corpus-assisted rather than corpus-driven, the final goal of our research is to make it quantitative, in extracting patterns and resources that can be detected automatically

    Can the displacement of a conservatively treated distal radius fracture be predicted at the beginning of treatment?

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    The aim of this study was to investigate whether the final displacement of conservatively treated distal radius fractures can be predicted after primary reduction. We analysed the radiographic documents of 311 patients with a conservatively treated distal radius fracture at the time of injury, after reduction and after bony consolidation. We measured the dorsal angulation (DA), the radial angle (RA) and the radial shortening (RS) at each time point. The parameters were analysed separately for metaphyseally “stable” (A2, C1) and “unstable” (A3, C2, C3) fractures, according to the AO classification system. Spearman’s rank correlations and regression functions were determined for the analysis. The highest correlations were found for the DA between the time points ‘reduction’ and ‘complete healing’ (r = 0.75) and for the RA between the time points ‘reduction’ and ‘complete healing’ (r = 0.80). The DA and the RA after complete healing can be predicted from the regression functions
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