92 research outputs found
Developing a LCA software in Hungary
In Hungary the first steps of LCA application can be observed. The objectives of the project are to establish a
fundamental online database of LCA compatibility with international software. This database can help designing
from the aspect of environment and can be used in education and research. We have classified the domestic
power plants on the basis of applied technology and energy sources. But data collection presents some difficulty.
Complex analysis of electric- and electronic equipment would be another important scope of the system. And we
would like to popularize the LCA application for the small and medium sized enterprises
Az év vadvirága 2014-ben: a szibériai nőszirom (Iris sibirica L.) = The Wildflower of the Year 2014 in Hungary: Siberian flag (Iris sibirica L.)
Abstract – In this paper a review of the nomenclature, etymology, taxonomy, morphology, histology,
life cycle, phenology, reproduction, habitat preference, biotic interactions, biologically active
compounds, micropropagation, application possibilities and conservation status of Siberian flag (Iris
sibirica L.) can be found. Leaf traits, phenological data, seed-set, thousand-seed weight, germination,
growth rate and soil characteristic data are published based on original observations:
• Leaf area is between 25,3 and 52,9 cm2, its dry mass is 232 and 272 mg/g, specific leaf area is 14,5
and 15,0 m2/kg; based on measurement of 5–5 leaves of I. sibirica, collected from Tapolca and
Létavértes (Hungary) in May of 2014.
• Based on herbarium dataset, blooming of I. sibirica begins at the end of April and lasts to early-July,
contrary to the literature data (May–June).
• Capsules contain (0–)58–76(–121) fertile seeds. (20–)60–80(–90)% of ovules develops to
(seemingly) viable seeds, meanwhile the other ovules remain as aborted ones or develop to infertile
seeds (probably because of absence of resources); based on fruits collected from Regéc (Hungary) in
2014 and 2015.
• Thousand-seed weight of I. sibirica is 8,8298–11,2914 g (based on 3×100–100 seeds collected from
Regéc and Tapolca in 2014 and 2015), which is lower value than the literature data.
• In our germination test (50–50 seeds sowed to wet soil, after different treatments) 14% of scarified
seeds, 6% of scalded seeds, 4–4% of imbibed and control seeds, 0–0% of cooled and refrigerated
seeds are germinated. Scarified seeds germinated in the 8–26th days, imbibed seeds 15–19th days,
control seeds 16–20th days, scalded seeds 20–23th days after sowing. It seems that scarification
stimulates, meanwhile temperature-treatments inhibit the germination. Until 18 weeks the seedlings
grow to 30 cm (in mean) and develop 5–7 leaves (in mean). After the 14th week, the first and
littlemost lateral leaves are necrosed.
• Analyses of soil samples collected from 17 locations of I. sibirica in Hungary, suggest that the species
prefers highly acidic to slightly alcalic, lime-free to highly calcareous soils with generally high amount
of humus and clay, different amount of phosphorus, potassium and nitrogen and low concentration of
salt.
Keywords: endangered species, flora of Hungary, Iridaceae, protected species |
Összefoglalás – Jelen közlemény áttekintést nyújt a szibériai nőszirom (Iris sibirica L.) nevezéktanáról,
rendszertanáról, alak- és szövettanáról, életciklusáról, fenológiájáról, szaporodásbiológiájáról,
Ă©lĹ‘helyválasztásárĂłl, biotikus interakciĂłirĂłl, hatĂłanyagairĂłl, mikroszaporĂtásárĂłl, felhasználási
lehetőségeiről és veszélyeztetettségéről. Saját megfigyelések és mérési eredmények alapján közlünk
adatokat a növény levéltulajdonságairól, fenológiájáról, magképzési sikeréről, ezermagtömegéről,
csirázási és növekedési erélyéről valamint termőhelyeinek talajadottságairól.
Kulcsszavak: Iridaceae, Magyarország flórája, védett fajok, veszélyeztetett fajo
An annotation tool for academic literature processing
In this paper, we present our annotation tool that facilitates research and annotation work by quick, yet efficient literature processing. Our tool helps users create a unique and refined collection of linked information, which can lead to more effective and faster decisions in research. The tool is currently optimized for biomedical domain, but it can adapted to other academic fields with minimal efforts
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