Compost-based media were examined for effects on plant growth of leafy lettuce (Lactuca sativa L.) in pot culture. Four types locally sourced composts created using different proportions wood chips from untreated pallets and mixed tropical tree debris, food waste restaurants, chicken manure. prepared by mixing each compost with a commercial peatmoss to create 25, 50, 100% compost-peatmoss mixtu...

To study the effect of different substrates on growth and yield of gerbera, this experiment was carried out as randomized completely block design with 14 treatments and 3 replications. Treatments were as fallowing: fine sand, peat+fine sand (25%+75%), peat+fine sand (50%+50%), perlite+peat (75%+25%), perlite+peat (50%+50%), perlite+peat (25% +75%), perlite+peat+expanded clay (25%+70%+5%), perli...

Within a time frame of about ten years, experimental (interactive) media installations and performances have gained recognition as new art forms in public space. Artworks explore the interconnectedness of public space, interaction, and new media. Urban Screens investigates how the growing infrastructure of dynamic digital displays in urban space, currently dominated by commercial forces, can be...

In order to identify the endophytic fungi of stone fruit trees in West Azarbaijan province (Iran), healthy tissues were collected from various regions. For isolation of endophytic fungi, plant tissues were primarily washed with tap water, then surface sterilized by rinsing in 75% ethanol for 1 minute, followed by 5 minutes in 3% sodium hypochlorite (active ingredient). Disinfested pieces were t...

In the social media age, content creation and distribution of all sorts of digital media is of growing importance. The variety of media types, devices, and user groups results in the generated media items being stored in a very heterogeneous landscape which can be seen as a large distributed database consisting of personal computers, mobile devices, or web servers of social media sites, demandi...

We propose an automatic procedure for the correct segmentation of grey and white matter in MR data sets of the human brain. Our method exploits general anatomical knowledge for the initial segmentation and for the subsequent refinement of the estimation of the cortical grey matter. Our results are comparable to manual segmentations.