Les emprisonnements des maoïstes et la détention politique en France (1970-1971) by Jean-Claude Vimont

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Eunug in die antieke Nabye Ooste by M. Nel

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Ronald Ferguson Ingle (1927 - 2022) by J Hugo, M Teichler, C Ellis, A Olivier

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Światowy rynek nasion oleistych i produktów ich przerobu by Ewa Rosiak

Subjects: “…nasiona oleiste…”
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Risque et vulnérabilité dans la recherche en santé urbaine by Brigit Obrist

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DC-DC Boost Converter Design With Analog Feedback Control for Cryogenic Applications by Danilo Santoro, Niccolo Gallice, Marco Bassani, Paolo Cova, Nicola Delmonte, Massimo Lazzaroni, Valeria Trabattoni, Andrea Zani

“…The design of the converter is based on a boost DC-DC topology, where the components have been selected and characterized to function at cryogenic temperatures. …”
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Design of Hydraulic Hoist of Sector Gate of Surface Overflow Bay of Baise Project by ZHANG Ming, BIAN Jian

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Assessment of resilient modulus of soil using hybrid extreme gradient boosting models by Xiangfeng Duan

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Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions by R. L. Bailey, M. A. Reiss, C. N. Arge, C. Möstl, C. J. Henney, M. J. Owens, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter

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NUMERICAL SIMULATION OF TEMPERATURE FIELD AND STRESS FIELD FOR BRAKE DISK IN MINE HOIST by YANG Ying, YE Chao, ZOU ShenYong

“…Based on the of theory heat conduction and thermal-elasticity,simulated the braking process of mine hoist. The changing laws of the boundary condition on the brake disc’s surface during braking were analyzed and the computing method of the convective coefficient was discussed emphatically. …”
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Analyzing Accident Injury Severity via an Extreme Gradient Boosting (XGBoost) Model by Shubo Wu, Quan Yuan, Zhongwei Yan, Qing Xu

“…Second, the extreme gradient boosting (XGBoost) model is introduced to identify the importance of risk factors (i.e., time of day, day of week, rushing hour, crash position, weather, and crash involvements) of VRUs-involved crashes. …”
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Innovative approaches to boost mesenchymal stem cells efficacy in myocardial infarction therapy by Chuanfeng An, Yuan Zhao, Lipeng Guo, Zhijian Zhang, Chunxiao Yan, Shiying Zhang, Yujie Zhang, Fei Shao, Yuanyuan Qi, Xun wang, Huanan Wang, Lijun Zhang

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Lectora Inspire: Boosting environmental awareness with chicken bone cracker e-module by Melly Ismiyaturrohimah, Mustika Nuramalia Handayani, Gilang Garnadi Suryadi

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On Control of a Boost DC-DC Power Converter under Constrained Input by Javier Moreno-Valenzuela, Octavio García-Alarcón

“…In this paper, a new controller for a boost DC-DC (direct current to direct current) power converter is proposed. …”
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Research of Axial Modification of Hoist Reducer Gear of Large Mining Mechanical Excavator by Hou Geng, Zhang Yinghui, Chen Xiuhua, Liang Jingfu, Zheng Yingmei

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A Modified ETM Shaper for Double Pendulum Crane Control with Payload hoisting by Trong Hieu Do, Minh Duc Nguyen, Minh Duc Duong

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Study on Heat Dissipation of Reduction Gearbox of a Hoisting Mechanism in Stopped State by Gao Chunhui, Hu Xiong

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Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets by Durr e Nayab, Rehan Ullah Khan, Ali Mustafa Qamar

“…This paper investigates the performance enhancement of base classifiers within the AdaBoost framework applied to medical datasets. Adaptive boosting (AdaBoost), being an instance of boosting, combines other classifiers to enhance their performance. …”
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Research on Monitoring Topping Time of Cotton Based on AdaBoost+Decision Tree by Yibai Li, Guangqiao Cao, Chao Ji, Dong Liu, Jinlong Zhang, Liang Li, Cong Chen

“…Compare multiple band combinations and vegetation index; the combined data of 550 + 730 + 790 nm band is selected as the model input. AdaBoost + decision tree method is proposed as a fitting model, the fitting results show that the coefficient of determination (R2) between multispectrum and cotton plant height is 0.96, and the average prediction error (RMSEP) is 0.40 cm, the coefficient of determination (R2) between multispectrum information and the fruiting branches is 0.97, the prediction mean error (RMSEP) is 0.54, and the correlation determination (R2) with the flower buds is 0.84, and the prediction mean error is (RMSEP) 0.49. …”
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Microenvironmental modulation breaks intrinsic pH limitations of nanozymes to boost their activities by Tong Li, Xiaoyu Wang, Yuting Wang, Yihong Zhang, Sirong Li, Wanling Liu, Shujie Liu, Yufeng Liu, Hang Xing, Ken-ichi Otake, Susumu Kitagawa, Jiangjiexing Wu, Hao Dong, Hui Wei

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