The study investigates the impact of land use/cover changes on dynamics surface temperature in Abaminus watershed, Northwest Ethiopia. Landsat-5 images 1987, 1999, and 2010, Landsat-8 image 2018 were used as sources data. calculated using a land-use transition matrix. Data generated from household surveys presented percentage values to identify driving forces changes. (LST) result was quantifie...

In the Mediterranean Sea hard-bottom macroalgal meadows may switch to alternative and less-productive barrens grounds, as a result of sea urchins overgrazing. Meiofauna (and especially nematodes) represent key components of benthic ecosystems, are highly-diversified, sensitive to environmental change and anthropogenic impacts, but, so-far, have been neglected in studies on regime shifts. We rep...

Axillary meristems, which give rise to branches and flowers, play a critical role in plant architecture and reproduction. To understand how axillary meristems initiate, we have screened for mutants with defects in axillary meristem initiation to uncover the genes controlling this process. These mutants, called the barren class of mutants in maize (Zea mays), have defects in axillary meristem in...

Three hundred and twenty pigs were reared from birth to slaughter at 21 weeks in either barren or enriched environments. The barren environments were defined as intensive housing (slatted floors and minimum recommended space allowances) and the enriched environments incorporated extra space, an area which contained peat and straw in a rack. Behavioural observations showed that environmental enr...

Housing of pigs in barren, stimulus-poor housing conditions may influence their immune status, including antibody responses to (auto-)antigens, and thus affect immune protection, which will influence the onset and outcome of infection. In the present study, we investigated the effects of environmental enrichment versus barren housing on the level of natural (auto-)antibodies (NA(A)b) and their ...

Surplus of entanglement is shown to hinder the successful training quantum machine learning algorithms.

In recent days, the land area utilized for agriculture is getting reduced day to due rapid urbanization. The main objective of work identify barren/unused lands that can be used purpose using remote sensing and geographic information system, so there will not losses improper site selection. suitability was assessed on five criteria; type soil, climate, slope percentage, rainfall wells distribut...