Abstract: Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Abstract: The present disclosure provides a three-dimensional alkynyl-containing porous aromatic framework polymer and a preparation method and use thereof. The polymer has a structure represented by Formula I: The preparation method includes: under a protective atmosphere, mixing tetrakis(p-bromophenyl)methane, 1,3,5-triethynyl benzene, a catalyst and an amine solvent, and subjecting to a Sonogashira-Hagihara coupling reaction to obtain the three-dimensional alkynyl-containing porous aromatic framework polymer having the structure represented by Formula I.

Abstract: A processor may determine, based on a length of an input key, whether to compute a hash value based on the input key or cause an accelerator device coupled to the processor to compute the hash value based on the input key. The processor may cause a hash table lookup operation to be performed based on the hash value.

Abstract: Examples described herein relate to a network interface device to perform header splitting with payload reordering for one or more packets received at the network interface device and copy headers and/or payloads associated with the one or more packets to at least one memory device.

Abstract: A control apparatus for a motor having a rotor includes a resolver, a processor, a decoder, a sensor, and a motor driver. The resolver outputs waveforms sensed from a rotation of the rotor. The decoder generates an absolute angle signal and an incremental angle signal in response to the waveforms from the resolver and provides the absolute angle signal and the incremental angle signal to the processor. The sensor estimates a positioning angle of the rotor and provides an estimated angle signal in response to the positioning angle of the rotor to the processor. When one of the absolute angle signal, the incremental angle signal, and the estimated angle signal is transmitted to the processor, the processor executes a predetermined program associated with the respective absolute angle signal, the incremental angle signal, and the estimated angle signal, to control the motor driver to rotate the rotor.

Abstract: A control apparatus for a motor having a rotor includes a resolver, a processor, a decoder, a sensor, and a motor driver. The resolver outputs waveforms sensed from a rotation of the rotor. The decoder generates an absolute angle signal and an incremental angle signal in response to the waveforms from the resolver and provides the absolute angle signal and the incremental angle signal to the processor. The sensor estimates a positioning angle of the rotor and provides an estimated angle signal in response to the positioning angle of the rotor to the processor. When one of the absolute angle signal, the incremental angle signal, and the estimated angle signal is transmitted to the processor, the processor executes a predetermined program associated with the respective absolute angle signal, the incremental angle signal, and the estimated angle signal, to control the motor driver to rotate the rotor.