5-tert-Butyl-2-hy­droxy-3-(2-thien­yl)benzaldehyde

In the crystal structure of the title compound, C15H16O2S, the thio­phene ring is essentially planar (r.m.s. deviation = 0.006 Å for all non-H atoms) and roughly coplanar with the benzene ring, the dihedral angle between the mean planes of the rings being 4.35 (8)°. An intra­molecular O—H⋯O hydrogen bond is observed between the OH group and the aldehyde O atom

A Spatial-channel-temporal-fused Attention for Spiking Neural Networks

Spiking neural networks (SNNs) mimic brain computational strategies, and exhibit substantial capabilities in spatiotemporal information processing. As an essential factor for human perception, visual attention refers to the dynamic selection process of salient regions in biological vision systems. Although mechanisms of visual attention have achieved great success in computer vision, they are rarely introduced into SNNs. Inspired by experimental observations on predictive attentional remapping, we here propose a new spatial-channel-temporal-fused attention (SCTFA) module that can guide SNNs to efficiently capture underlying target regions by utilizing historically accumulated spatial-channel information. Through a systematic evaluation on three event stream datasets (DVS Gesture, SL-Animals-DVS and MNIST-DVS), we demonstrate that the SNN with the SCTFA module (SCTFA-SNN) not only significantly outperforms the baseline SNN (BL-SNN) and other two SNN models with degenerated attention modules, but also achieves competitive accuracy with existing state-of-the-art methods. Additionally, our detailed analysis shows that the proposed SCTFA-SNN model has strong robustness to noise and outstanding stability to incomplete data, while maintaining acceptable complexity and efficiency. Overall, these findings indicate that appropriately incorporating cognitive mechanisms of the brain may provide a promising approach to elevate the capability of SNNs.Comment: 12 pages, 8 figures, 5 tabes; This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessibl

Ocean response offshore of Taiwan to super typhoon Nepartak (2016) based on multiple satellite and buoy observations

Multi-satellite and buoy observation data were used to systematically analyze the ocean response offshore of Taiwan to Super Typhoon Nepartak in 2016. The satellite data showed that a high sea surface temperature combined with a thick warm water layer and deep mixed layer provided a good thermal environment for continuous intensification of the typhoon. Two high-resolution buoys (NTU1 and NTU2) moored 375 and 175 km offshore of southeastern Taiwan were used to clarify the typhoon–ocean interaction as the typhoon approached Taiwan. The ocean conditions were similar at the two buoys before the typhoon, and both buoys were on the left side of the typhoon track and suffered similar typhoon factors (e.g., typhoon intensity and translation speed) during its passage. However, the ocean response differed significantly at the two buoys. During the forced period, the entire upper ocean was cooled at NTU1. In contrast, there was a clear three-layer vertical structure at NTU2 consisting of cool surface and deep layers with a warmer layer between the two cool layers. These responses can be attributed to strong upwelling of a cold eddy at NTU1 and vertical mixing at NTU2. These results indicate that, under similar preexisting conditions and typhoon factors, the movement of ocean eddies under typhoon forcing is an unexpected mechanism that results in upwelling and thus needs to be considered when predicting changes in the ocean environment and typhoon intensity

Visualization 1.avi

This video shows the dynamics of keyhole and molten pool during the welding process

Analysis of Operation Rules of Provincial Peak Shaving Auxiliary Service Market

In order to implement the requirements of the power system reform, to ensure the safety, stability and economic operation of the power system, and to promote the consumption of new energy, all provinces in China have built the peak-control auxiliary service market, and explore the establishment of a new mechanism for sharing and sharing of peak-control auxiliary services. Based on the operating rules of the peaking auxiliary service market in Xinjiang, Shanxi, Gansu, Fujian, Jiangsu, Jiangxi, Northeast, Anhui, Ningxia, Shanghai, Shandong and other places, the author compares and evaluates the key content of the market operating rules from four aspects: market members and their responsibilities, deep peaking transaction details, emergency start-stop peaking transaction details, and measurement and settlement, and also finds a direction for the provinces to revise or adjust the rules of peaking auxiliary services in the future for the reference of power grid dispatching, power plant operations and other departments, in order to improve the understanding of relevant personnel of the peaking auxiliary service market

Nonlinear Hybrid Multipoint Model of High-Speed Train with Traction/Braking Dynamic and Speed Estimation Law

This paper establishes a NHMPM (Nonlinear Hybrid Multipoint Model) for HST (High-Speed Train) with the traction/braking dynamic and speed estimation law. Firstly, a full-order flux observer is designed using regional pole assignment theory to calculate the electromagnetic torque. The traction and braking forces are obtained according to this electromagnetic torque. Then the basic running resistance force is reformulated by considering the aerodynamic drag distribution characteristics, and the nonlinear in-train coupling force is analyzed as well. Next, the NHMPM including integer variables of running status and car types is built, where an adaptive parameter estimation algorithm and a speed estimation law are proposed to estimate unknown resistance coefficients and train speed, respectively. The effectiveness of the proposed algorithm, law, and NHMPM is verified through numerical simulations last