piperidines and nanofin

In this Letter, the neural network long short-term memory (LSTM) is used to quickly and accurately predict the polarization sensitivity of a nanofin metasurface. In the forward prediction, we construct a deep neural network (DNN) with the same structure for comparison with LSTM. The test results show that LSTM has a higher accuracy and better robustness than DNN in similar cases. In the inverse design, we directly build an LSTM to reverse the design similar to the forward prediction network. By inputting the extinction ratio value in 8-12 µm, the inverse network can directly provide the unit cell geometry of the nanofin metasurface. Compared with other methods used to inverse design photonic structures using deep learning, our method is more direct because no other networks are introduced.

Topics: Memory, Short-Term; Neural Networks, Computer; Piperidines

Auditory adaptation, apart from the effect of the neurotropic drugs, galanthamine, GABA and nanophyn on this adaptation, was examined in 35 rabbits exposed to white noise (90 dB, re 2.10(-5) Pa, 10 min) by concurrent recording of evoked potentials of the brain and microphonic potentials of the cochlea. The results suggest that the mechanism of auditory adaptation is determined by the processes that occur in the synapses of the auditory system central parts and is monitored by the sympathetic nervous system.

Topics: Adaptation, Physiological; Animals; Auditory Cortex; Auditory Threshold; Cochlea; Cochlear Microphonic Potentials; Evoked Potentials, Auditory; Galantamine; gamma-Aminobutyric Acid; Hearing; Piperidines; Rabbits

Topics: Autonomic Agents; Humans; Piperidines

Topics: Autonomic Agents; Hypertension; Piperidines; Quaternary Ammonium Compounds

Topics: Autonomic Agents; Eczema; Ganglionic Blockers; Humans; Neurodermatitis; Piperidines