More than half of the natural vegetation in Mexico is managed collectively within common property systems.The appropriation and continuity of government programs related to the conservation of land that is communally used is proposed to depend on the level of organization of the communities and the interaction between the local and governmental ins

Remote sensing image scene classification (RSISC) plays a vital role in remote sensing applications.Recent methods based on convolutional neural networks (CNNs) have driven the development Swivel Seat Cushion of RSISC.However, these approaches are not adequate considering the contributions of different features to the global decision.In this paper,

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 Wreath the radiative origin of neutrino masses.The scheme is the minimal one that allows for

The analysis of data variability from in-situ observations is essential for scientists and space mission controllers.Given the limited resources available on-board a spacecraft as well as the presence of the Field-Programmable Gate Arrays (FPGA) devices in modern spacecraft architectures, an efficient real-time monitoring solution should be deploye

In this study, using radiosonde data of temperature and altitude relationship networks during 2005 to 2018 statistical period, annual, seasonal, monthly and hourly averages were obtained.Based on the regression equations between temperature changes and altitude the environmental temperature drop rate was calculated and the solidification level heig