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To get rid of the dilemma between the speed and the resolution of optical fiber Fabry–Perot (F-P) magnetic field sensor (MFS) demodulation algorithm and to address the problem of difficult detection in the low magnetic field area, the compact parallel dual neural network (PDNN) with wavelet decomposition (WD) was proposed for the first time to demodulate the magnetic field. PDNN consists of the prediction neural network (PNN) and the error compensation neural network (ECNN). PNN is used to predict the true magnet field and ECNN is designed to predict the error between the true value and predictive value. With the combination of the dual networks, PDNN achieves a higher accuracy and resolution compared with traditional series single networks. In addition, to reduce the computational cost of PDNN, a dimensionality reduction method based on WD is developed. It is demonstrated according to simulation and experiments that PDNN obtains stronger anti-interference capability, less computational cost, and higher demodulation resolution after the process of WD. Three-layer WD is used to extract the features of F-P MFS spectral signal, which can keep 13.8% signal energy and reduce the spectral data points by about eight times. PDNN with WD achieves 0.004 Gs demodulation resolution with 1 kHz in low magnetic field, which is applicable to all fields requiring high speed and resolution.

Lipoxygenase (LOXs) is a kind of dioxygenase without heme and iron, which plays an important role in the development and adaptation of many plants to the environment. However, the study of strawberry LOX gene family has not been reported. In this study, 14 LOX genes were identified from the diploid woodland strawberry genome. The phylogenetic tree divides the FvLOXgene into two subfamilies: 9-LOX and 13-LOX. Gene duplication event analysis showed that whole-genome duplication (WGD)/segmental duplication and dispersed duplication effectively promoted the expansion of strawberry LOX family. QRT-PCR analysis showed that FvLOXgenes were expressed in different tissues. Expression profile analysis showed that FvLOX1and FvLOX8were up-regulated under low temperature stress, FvLOX3and FvLOX7were up-regulated under drought stress, FvLOX6and FvLOX9were up-regulated under salt stress, FvLOX2, FvLOX3and FvLOX6were up-regulated under salicylic acid (SA) treatment, FvLOX3, FvLOX11and FvLOX14were up-regulated under methyl jasmonate (MeJA) treatment, FvLOX4and FvLOX14were up-regulated under abscisic acid (ABA) treatment. Promoter analysis showed that FvLOXgenes were involved in plant growth and development and stress response. We analyzed and identified the whole genome of strawberry FvLOXfamily and characterized a variety of FvLOXcandidate genes involved in abiotic stress response. This study laid a theoretical and empirical foundation for the response mechanism of strawberry to abiotic stress.