Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mira Stankovic"'
Autor:
Mira Stankovic, Dragan Djuric, Dragosav Mutavdzic, Danijela Djonic, Aleksandra Rašić-Marković, Dragan Hrnčić, Petar Milovanovic, Olivera Stanojlović, Marija Djuric, Ksenija Radotić
Publikováno v:
Life Sciences. 191:9-16
Aims In general, hyperhomocysteinemia is increasingly appreciated as a risk factor for various diseases, including osteoporosis. However, its effects in non-adults remain largely unknown. Our aim was to determine whether dietary-caused increased homo
Autor:
Sanja Brdar, Marko Panić, Predrag Matavulj, Mira Stanković, Dragana Bartolić, Branko Šikoparija
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Pollen monitoring have become data-intensive in recent years as real-time detectors are deployed to classify airborne pollen grains. Machine learning models with a focus on deep learning, have an essential role in the pollen classification t
Externí odkaz:
https://doaj.org/article/9c49ac5c64ba49d3aa4ed40d568f5206
Publikováno v:
Foods, Vol 12, Iss 16, p 3023 (2023)
Food is a complex matrix of proteins, fats, minerals, vitamins, and other components. Various analytical methods are currently used for food testing. However, most of the used methods require sample preprocessing and expensive chemicals. New analytic
Externí odkaz:
https://doaj.org/article/a99f5a3db9d84f53be5b61c6da078aac
Autor:
Mira Stanković, Miloš Prokopijević, Branko Šikoparija, Nebojša Nedić, Filip Andrić, Natalija Polović, Maja Natić, Ksenija Radotić
Publikováno v:
Foods, Vol 12, Iss 3, p 629 (2023)
Varroa destructor is a parasitic mite responsible for the loss of honey bee (Apis mellifera) colonies. This study aimed to find a promising marker in honey for the bee colony infestation level using fluorescence spectroscopy and biochemical analyses.
Externí odkaz:
https://doaj.org/article/ac2df5ebd9e2492283cc35bf5181f97f
Publikováno v:
Early Human Development. 86:S7
2528 normal ultrasound head scans (no cerebral lesions) obtained after scanning and 3856 at risk newborns with gestational age (GA) between 27 and 43 weeks were analysed. HUS were done with General Electric RT-400 and ESAOTE BIOMEDICA AU4 IDEA throug