CREATING THE KULTUK POLYGON FOR EARTHQUAKE PREDICTION: VARIATIONS OF (234U/238U) AND 87SR/86SR IN GROUNDWATER FROM ACTIVE FAULTS AT THE WESTERN SHORE OF LAKE BAIKAL by S. V. Rasskazov, E. P. Chebykin, A. M. Ilyasova, E. N. Vodneva, I. S. Chuvashova, S. A. Bornyakov, A. K. Seminsky, S. V. Snopkov, V. V. Chechel'nitsky, N. A. Gileva

“…Curves of temporal variations of (234U/238U) in water from stations 40 and 27 are shown in Figure 10. …”
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J.S. Bach’s Canons BWV 1087: More on Musical Emblematics by Alla I. Yankus

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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Given the instability and high volatility of wind power generation, this study proposes a short-term wind power prediction method based on BWO‒VMD and TCN‒BiGRU to improve the accuracy of wind power prediction and better support the energy transition under the “dual carbon” strategy.MethodsA short-term wind power generation prediction model based on the beluga whale optimization (BWO) algorithm, variational mode de-composition (VMD), temporal convolutional network (TCN), and bidirectional gated recurrent unit (BiGRU) was carefully proposed to improve the prediction accuracy of wind power generation, particularly considering its inherent instability and high volatility. …”
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Experiment and simulation of single diamond abrasive particle scratching RB-SiC composite material by Dehan ZHANG, Kang DING, Xintong CAI, Feng YANG, Zhigang DONG, Yan BAO, Xiaoguang GUO, Renke KANG

“…When the scratch depth increases to 30 μm, the brittle peeling phenomenon of the material becomes more and more obvious, and the surface morphology of the material also deteriorates. …”
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Mechanical properties of thinly interbedded sandstone-mudstone rocks in Lower Shihezi Formation from eastern Ordos Basin by Richao CONG, Ruiyue YANG, Jiachen HU, Zhihao XIA, Zhongwei HUANG, Gensheng LI, Meiyang JING

“…The differences in mineral compositions and mechanical properties are significant factors contributing to geomechanical variations between the thin interlayers.…”
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Optimal Selection Criterion for Runoff Component Models Based on Benefit-Risk Balance by DING Xiao-ling, HU Wei-zhong, TANG Hai-hua, LUO Bin, FENG Kuai-le

“…If the decision-making objective was to achieve a more adequate fitting, models that sequentially separate mutations and periodic components are prioritized; conversely, if the objective was to maintain more stable accuracy with varying sequence lengths, models that identify only mutation or trend terms were more advantageous. …”
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