A Geospatial Framework of Food Demand Mapping

Autor: Valentas Gruzauskas, Aurelija Burinskiene, Artur Airapetian, Neringa Urbonaitė

Publikováno v: Applied Sciences, Vol 14, Iss 15, p 6677 (2024)

Spatial mapping of food demand is essential for understanding and addressing disparities in food accessibility, which significantly impact public health and nutrition. This research presents an innovative geospatial framework designed to map food dem

Externí odkaz: https://doaj.org/article/5bbbfd6956644fd094bd861d35e3445a

Educational Organization’s Security Level Estimation Model

Autor: Algimantas Venčkauskas, Vaidotas Trinkūnas, Šarūnas Grigaliūnas, Simona Ramanauskaitė, Neringa Urbonaitė, Saulius Preidys

Publikováno v: Applied sciences, Basel : MDPI, 2021, vol. 11, iss. 17, art. no. 8061, p. 1-19
Applied Sciences
Volume 11
Issue 17
Applied Sciences, Vol 11, Iss 8061, p 8061 (2021)

During the pandemic, distance learning gained its necessity. Most schools and universities were forced to use e-learning tools. The fast transition to distance learning increased the digitalization of the educational system and influenced the increas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a94c48a967651ea07e5b9bbc05f41a7a
https://doi.org/10.3390/app11178061