We introduce a new non-destructive source of skeletochronological data with applications to species identification, associating disarticulated remains, assessing minimum number of individuals (MNI), and collection management of fossil snakes, but with potential implications for all bony vertebrates, extinct or extant.Study of a diverse sample of Re
Abstract We reexamine the minimal Singlet $$+$$ + Triplet Scotogenic Model, where dark matter is the mediator of neutrino mass generation.We assume it to be a scalar WIMP, whose stability follows from the same $${mathbb {Z}}_{2}$$ Z 2 symmetry that leads to the radiative origin of neutrino masses.The scheme is the minimal one that allows for solar
This study presents an integrated model based on cellular automata for assessing and simulating land use/cover changes and their impact on the environment.Satellite images from Landsat TM Tanning and ETM + sensors from the time period of 1985 to 2014 were applied.Seven static and five dynamic variables were applied.These included elevation, slope,
Maize is a globally important cereal crop, however, maize leaf disease is one of the most common and devastating diseases that afflict it.Artificial intelligence methods face challenges in identifying and classifying maize leaf diseases due to variations in image quality, similarity among diseases, disease severity, limited dataset availability, an
An optimal planning method for an integrated energy system (IES) considering electric vehicles (EVs) swapping station (SS) and carbon capture power system (CCPS) is studied in this paper.Firstly, based on the analysis of swapping EV load, the model of Inserts SS is established.Then, we built the models of CCPS, and other energy supply and storage e