α-Amylase from hog pancreas displayed catalytic promiscuity in three-component reaction for the synthesis of 3,3′-disubstituted oxindoles and spirooxindole pyrans.

A simple reservoir computing (RC) system based on a solitary semiconductor laser under an electrical message injection is proposed, and the performances of the RC are numerically investigated. Considering the lack of memory capacity (MC) in such a system, some auxiliary methods are introduced to enhance the MC and optimize the performances for processing complex tasks. In the pre-existing method, the input information is the current input data combined with some past input data in a weighted sum in the input layer (named as M -input). Another auxiliary method (named as M -output) is proposed to introduce the output layer for optimizing the performances of the RC system. The simulated results demonstrate that the MC of the system can be improved after adopting the auxiliary methods, and the effectiveness under adopting the M -input integrated with the M -output (named as M -both) is the most significant. Furthermore, we analyze the system performances for processing the Santa Fe time series prediction task and the nonlinear channel equalization (NCE) task after adopting the above three auxiliary methods. Results show that the M -input is the most suitable for the prediction task while the M -both is the most appropriate for the NCE task.

Gradient boosting technology has been proved to be an effective scheme for enhancing the performances of spatially distributed reservoir computing (RC) systems. In this work, a gradient boosting scheme by combining two reservoirs is proposed and numerically investigated in a delayed-based RC system. The original reservoir in the delayed-based RC system is a vertical-cavity surface-emitting laser (VCSEL) under polarization-rotated optical feedback (PR-OF), and it is trained on the desired output. The other VCSEL under PR-OF or polarization-preserved optical feedback (PP-OF) is supplemented to be an extra reservoir, which is trained on the remaining error of the original reservoir. Via Santa-Fe time series prediction task and 10th-order nonlinear autoregressive moving average (NARMA10) task, the performances of the delay-based RC system are evaluated before and after supplementing the extra reservoir, and then the effectiveness of the gradient boosting technology in the delayed RC system can be analyzed. The simulated results demonstrate that adopting gradient boosting technology is effective in a delay-based RC system. Comparatively speaking, the enhanced effect is more obvious under taking a VCSEL with PR-OF as the extra reservoir. INDEX TERMS Delay-based reservoir computing (RC), vertical-cavity surface-emitting laser (VCSEL), gradient boosting technology, performance enhancement.

Tylopilus jiangxiensis is described as a new species characterized by its small basidiomata, yellowish brown pileal and stipe surface, pallid to pinkish hymenophore, smooth stipe surface and white context without color change when bruised. Molecular phylogenetic analyses based on five gene makers (ITS, nrLSU, tef1-α, rpb1 and rpb2) confirmed it as a novel member of the genus Tylopilus s. str. Its morphological descriptions and illustrations are provided.

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