A Two-Stage Deep Learning Method for Non-Invasive Sow Body Temperature Prediction Fusing Thermal Imaging and Environmental Parameters. [PDF]
Xu S, Qin Z, Huang Q, Tan C, Xu X, Li X.
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Planar structures of medium-sized gold clusters become ground states upon ionization. [PDF]
Safa MI +3 more
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Applicability of fetal heart rate variation, umbilical artery resistivity index and maternal body temperature for predicting imminent parturition in bitches. [PDF]
Gomes DR +11 more
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Wolf Presence Disrupts Seasonal Variation in Hair Cortisol Among Free-Ranging Beef Cattle. [PDF]
Nord CM +6 more
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Overwintering mortality in Halyomorpha halys (Hemiptera: Pentatomidae): insights from laboratory and field studies. [PDF]
Fischnaller S +5 more
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Variability of minimum temperature across Libya (1945–2009)
Daily and monthly minimum temperature data from 15 meteorological stations were analysed during the period 1945-2009. The spatial and temporal variability in the daily and monthly temperatures were examined, with daily minimum temperature for eight ...
Neil Macdonald, Andrew P Morse
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Radiation Minimum Temperatures
American Journal of Physics, 1957Frost resulting from cooling of vegetation by nocturnal radiation is a serious agricultural problem. Because of the number of variables involved, attacks on this problem from a purely theoretical point of view have met with only moderate success. It seems logical to suppose that an instrument might be devised which would speed up the natural radiation ...
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Ionospheric temperatures at sunspot minimum
Journal of Atmospheric and Terrestrial Physics, 1965Abstract The temperature profile throughout the ionosphere is determined by the relative importance of the following processes: the rate of heat input to the ambient electron gas by Coulomb scattering of photoelectrons; the rate of transfer of heat from the electron gas to the neutral atmosphere; heat conduction by the electron gas.
J.E. Geisler, S.A. Bowhill
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Minimum findable temperature difference
SPIE Proceedings, 1994A new measure called minimum findable temperature difference (MFTD) is offered as a means of characterizing thermal imaging performance under scene clutter limited conditions. MFTD extends an older performance methodology called minimum detectable temperature difference (MDTD) which was offered in the 70's as a sensor performance characterization under
John A. D'Agostino, J. R. Moulton
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