An Improved Fitting Method for Predicting the Zernike Coefficient–Wavelength Curves by Fang Wang, Qiyuan Zhang, Haoyu Wang, Dayong Zhu, Huaikang Zhu, Wenxin Jia, Sen Han

“…Broadband transmitted wavefront measurement is a detection method that uses transmitted wavefronts at a few specific wavelengths though a function of Zernike coefficients and wavelength to predict other transmitted wavefronts at any wavelength within a certain range. …”
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Genome-wide analysis of the bHLH gene family in Spatholobus suberectus identifies SsbHLH112 as a regulator of flavonoid biosynthesis by Shuangshuang Qin, Ying Liang, Yueying Xie, Guili Wei, Quan Lin, Weiqi Qin, Fan Wei

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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. …”
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Physics of swimming and its fitness cost determine strategies of bacterial investment in flagellar motility by Irina Lisevich, Remy Colin, Hao Yuan Yang, Bin Ni, Victor Sourjik

“…Abstract Microorganisms must distribute their limited resources among different physiological functions, including those that do not directly contribute to growth. …”
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Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

“…We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…First， the source dataset is trained on the training network to obtain the source model， and then a small amount of drive-end data is used as the target dataset to fine-tuning to obtain the target model. …”
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Power Communication Network Recovery from Large-Scale Failures Based on Reinforcement Learning by Huibin JIA, Yonghe GAI, Baogang LI, Hongda ZHENG

“…Regarding this model, a heuristic algorithm based on reinforcement learning is proposed, in which the link recovery resources and the degree of importance of the damaged link in the failed service are taken into account to set the reward and penalty functions as well as the selection rules. …”
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Evaluation of the coupling coordination effect of Hefei Rail transit station area based on supply and demand matching. by Wangyang Gui, Mengnan Cheng, Tong Zhang, Yifei Guo, Bin Xu

“…The coupling of supply and demand in the rail transit station area is an important driving force for ensuring the balanced development between the traffic functions and the place performance of the rail transit station area. …”
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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…By exploring different representations and objective functions, including classification accuracy, hidden neuron ratio, minimum redundancy, and maximum relevance for feature selection, eight algorithmic variants were developed, with six variants performing both hidden layers reduction and feature-selection tasks. …”
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Routing algorithm for heterogeneous computing force requests based on computing first network by ZHANG Gang, LI Xi

“…By constructing a solution matrix and utilizing evaluation functions, random selection of feasible solutions, and the principle of low demand priority avoidance, a set of feasible solution sets was ultimately found. …”
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Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

“…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula

“…The source energy spectrum extended up to 300 TeV, which was well fitted by a log-parabola function with N0 = (1.93 ± 0.23) × 10−16 TeV−1 cm−2 s−1, α = 2.14 ± 0.27, and β = 1.20 ± 0.41 at E0 = 30 TeV. …”
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Rock Mechanical Properties and Breakdown Pressure of High-Temperature and High-Pressure Reservoirs in the Southern Margin of Junggar Basin by Mingwei Kong, Zhaopeng Zhang, Chunyan Zhao, Huasheng Chen, Xinfang Ma, Yushi Zou

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Genome-Wide Identification and Characterization of <i>TaCRY</i> Gene Family and Its Expression in Seed Aging Process of Wheat by Guoqing Cui, Xiuyan Cui, Junjie Wang, Menglin Lei, Xia Liu, Yanzhen Wang, Haigang Wang, Longlong Liu, Zhixin Mu, Xia Xin

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Operational monitoring of acoustic sensor networks by V. A. Boltenkov, G. Kh. M. Al-Jasri

“…Both of them are based on the placement of the test sound source within a network. The signal processing for ASN sensors had to detect the failed element. …”
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INFORMATIONAL-ANALYTIC MODEL OF REGIONAL PROJECT PORTFOLIO FORMING by I. A. Osaulenko

“…The Triple Helix conception using for concrete definition of the functions of the regional development’s motive forces. …”
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Investigation on the Radar Scattering and Doppler Spectrum From Trimaran Based on the Motion of Six Degrees of Freedom by Yuxin Deng, Jinxing Li, Wangqiang Jiang, Min Zhang

“…Second, an accelerated geometrical optics and physical optics algorithm using the light source function (GO-PO&#x002F;LSF) is proposed, which uses the light source function to realize the visibility judgment of surfaces and greatly reduces the computation time. …”
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Comparison of Language Models in Skills Extraction From Vacancies and Resumes by Lyubov Komarova, Vladimir Soloviev, Alexey Kolosov

“…The result of the study is the selection of the best model and the derivation of functions from the summary text, as well as a comparison of the two sets of functions with each other. …”
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Nitrogen content estimation of apple trees based on simulated satellite remote sensing data by Meixuan Li, Xicun Zhu, Xicun Zhu, Xinyang Yu, Cheng Li, Dongyun Xu, Ling Wang, Dong Lv, Yuyang Ma

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Using Landscape Metrics of Pixel Scale Land Cover Extracted from High Spatial Resolution Images to Classify Block-Level Urban Land Use by Haofeng Luo, Xiaomei Yang, Zhihua Wang, Yueming Liu, Huifang Zhang, Ku Gao, Qingyang Zhang

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