Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…To address the problem of low success rate of spread code identification for low signal-to-noise ratio DSSS signals, this paper combines the Third-order Correlation Function (TCF) of <italic>m</italic>-sequences and its peak characteristics to identify the pseudo-code period of DSSS signals as prior information through power spectrum secondary processing on the premise of denoising preprocessing. …”
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Stimulation mapping and whole-brain modeling reveal gradients of excitability and recurrence in cortical networks by Davide Momi, Zheng Wang, Sara Parmigiani, Ezequiel Mikulan, Sorenza P. Bastiaens, Mohammad P. Oveisi, Kevin Kadak, Gianluca Gaglioti, Allison C. Waters, Sean Hill, Andrea Pigorini, Corey J. Keller, John D. Griffiths

“…Our analyses revealed an anatomical gradient of excitability across the cortex, with stronger iES-evoked EEG responses in high-order compared to low-order regions. …”
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Multi-spectral remote sensing image fusion method based on gradient moment matching by Haiying Fan, Gonghuai Wei

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The Influence of Voltage Gradient Application History on Electro-Osmotic Reinforcement of Marine Soft Clay by Zhaohua Sun, Yuxing Qing, Jianming Zhang, Bintang Mas Mediamartha

“…Regardless of the voltage gradient level adopted, the application of a low voltage gradient in the historical stage exerts a more beneficial influence on the current stage than a high voltage gradient. …”
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The impact effect of county urbanization on rural revitalization and its spatial gradient in Northeast China by Jiaxin He, Liuqing Wei, Hui Kang, Ying Wang, Zixuan Zhao, Xiaohong Chen

“…The results show that: (1) County urbanization and rural revitalization in Northeast China show the evolution characteristics of “low volatility and decline” and “low and slow growth” respectively, and the statistical descriptive analysis of the superposition of the two spatial patterns preliminarily shows that county urbanization has some impact on rural revitalization. (2) The OLS model regression test shows that county urbanization in Northeast China is not enough to drive rural revitalization, there is still a lot of potential to be tapped. …”
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Effect of Warming on Soil Fungal Community Along Altitude Gradients in a Subalpine Meadow by Jing Yin, Dandan Yuan, Jing Lu, He Li, Shuzheng Luo, Jianhua Zhang, Xingjia Xiang

“…Previous studies investigated the effects of warming on grassland ecosystems at a single altitude, with little information about the response of subalpine meadows to warming along altitude gradients. This study aimed to evaluate the effects of warming on aboveground grass, belowground soil properties, and fungal community along altitude gradients in the subalpine meadow of Mount Wutai using the high-throughput sequencing method. …”
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Woody carbon stock estimation in homegarden agroforestry along altitudinal gradients in southwest Ethiopia by Tefera Jegora, Tefera Jegora, Kitessa Hundera, Zerihun Kebebew, Adugna Eneyew Bekele

“…The study revealed that the mean aboveground carbon stock (14.39 ± 2.95 Mg C ha−1) was significantly (p &lt; 0.05) higher in the middle altitude than (6.12 ± 0.72 Mg C ha−1) in the low altitude. Carbon stocks were significantly different between middle and low altitudes. …”
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Composition of electron temperature gradient driven plasma turbulence in JET-ILW tokamak plasmas by B. Chapman-Oplopoiou, J. Walker, D. R. Hatch, T. Görler, JET contributors

“…We compare the structure of electron temperature gradient (ETG) driven turbulence in the edge region of two JET ITER-like-wall (ILW) high-confinement-mode discharges operating at different levels of gas fuelling. …”
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An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient by B. ZHANG, R. YI, Z. WANG, J. PU, . Y. SUN

“…In compressed sensing, a measurement matrix having low coherence with a specified sparse dictionary has been shown to be advantageous over a Gaussian random matrix in terms of reconstruction performance. …”
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Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

“…In the reinforcement leaning tasks with continuous state spaces,the algorithms are usually facing the problems of ill initial performance and low convergence speed.In order to solve these problems,the potential function shaping reward mechanism was proposed to improve the reinforcement learning algorithms.This mechanism propagates model knowledge to the learner adaptively in the form of the additional reward signal,so that the initial performance and convergence speed could be improved effectively.In view of the good performance and existing problems of the radial basis function (RBF) network,the adaptive normalized RBF (ANRBF) network was put forward to use as a potential function to generate the shaping rewards.A gradient descent (GD)algorithm named ANRBF-GD-Sarsa(?) …”
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PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network by Mingzhu Shi, Shuaiqi Liu

“…Single image deblurring is a highly ill-posed problem and usually regularized by alternating estimating point spread function (PSF) and recovering blur image, which leads to high complexity and low efficiency. In this paper, we first propose an efficient PSF estimation algorithm based on gradient cepstrum analysis (GCA). …”
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Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradients☆ by Parisa Davar, Frédéric Godin, Jose Garrido

“…This paper tackles the problem of mitigating catastrophic risk (which is risk with very low frequency but very high severity) in the context of a sequential decision making process. …”
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Non-Iterative Phase-Only Hologram Generation via Stochastic Gradient Descent Optimization by Alejandro Velez-Zea, John Fredy Barrera-Ramírez

“…In this work, we explored, for the first time, to the best of our knowledge, the potential of stochastic gradient descent (SGD) to optimize random phase functions for application in non-iterative phase-only hologram generation. …”
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A Sufficient Descent 3-Term Conjugate Gradient Method for Unconstrained Optimization Algorithm by Ghada Moayid Al-Naemi, Samaa AbdulQader

“… In recent years, 3-term conjugate gradient algorithms (TT-CG) have sparked interest for large scale unconstrained optimization algorithms due to appealing practical factors, such as simple computation, low memory requirement, better sufficient descent property, and strong global convergence property. …”
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Meridional SST gradient in the western North Pacific warm pool associated with typhoon generation by N. Sato, R. Shirooka, M. Yoshizaki, Y. N. Takayabu

“…As a result, the meridional SST gradient became especially steep, and the SST was not homogeneously high, when a typhoon is generated. …”
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Woody species composition and diversity of agroforestry homegardens along altitudinal gradient in southwest Ethiopia. by Tefera Jegora, Kitessa Hundera, Zerihun Kebebew, Adugna Eneyew

“…A complete enumeration of 72 homegardens (24 each from altitudinal gradient) was purposively selected for woody species inventory. …”
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Differential gene expression in trabecular bone osteocytes is related to the local strain and strain gradient by Meghana Machireddy, Sarah Nano, Lucas Debiase, Jonathan Lewis, Sara Cole, Jun Li, Glen L. Niebur

“…We measured SOST, Wnt11, TNF, and FRZB gene expression in osteocytes within loaded and unloaded control porcine trabecular bone explants using RNAScope® and compared the local tissue level strain and strain gradient—which we used as an indicator of potential poroelastic fluid flow—in the tissue surrounding osteocytes with high vs. low gene expression. …”
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The global lithospheric field modeling based on MSS-1 and other satellites’ gradient data by YuXuan Lin, Yan Feng, JiaXuan Zhang, XinWu Li, Ya Huang

“…Furthermore, the unique orbital characteristics of MSS-1 enable its gradient data to provide substantial contributions to modeling in the mid- to low-latitude regions. …”
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Simulation of Rainfall Intensity and Slope Gradient to Determination the Soil Runoff Coefficient at Microplot Scale by Dawod Rasooli Keya, Tariq H. Karim

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Nonlinear multi-head cross-attention network and programmable gradient information for gaze estimation by Yujie Li, Yuhang Hong, Ziwen Wang, Jiahui Chen, Rongjie Liu, Shuxue Ding, Benying Tan

“…However, CNNs extract a limited local context while losing important global information, whereas attention mechanisms exhibit low utilization of multiscale hybrid features. To address these issues, we propose a novel nonlinear multi-head cross-attention network with programmable gradient information (MCA-PGI), which synthesizes the advantages of CNNs and the Transformer. …”
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