“Sirin is not inferior to Leonov”: Burrows’s Delta for stylometric analysis of Russian novels of the interwar period by F. N. Dviniatin, B. V. Kovalev

“…The study has two objectives: 1) to carry out a primary clustering of the styles of leading Russian prose writers of a certain era, and also, through the use of modern algorithms, to determine the place among them of the style of Nabokov (Sirin); 2) to test these algorithms for their ability to informatively and adequately solve the tasks of stylistic distribution and for the consistency of the results. …”
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Balanced operation strategies of district heating systems based on dynamic hydraulic-thermal modeling by Xiaojie Lin, Ning Zhang, Zheng Luo, Encheng Feng, Wei Zhong

“…Consequently, the primary side control in the current district heating system mainly results in the over or under-supply of heating substations. …”
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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

“… The main objective of this work is to accurately predict in irrigation and hydraulic systems the discharge coefficient of the used sharp-crested inclined dams. …”
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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. …”
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Unveiling hidden dynamics: fine-scale mapping of groundwater-dependent ecosystems using multi-source Earth observations by Yu Liang, Chunyan Cao, Xiaoyu Zhu, Sicong Gao, Yongqiang Zhang, Xuanlong Ma

“…Results show that 34.23% of the study area is GDE, mainly in shallow water table and arid regions, making them vulnerable to exploitation. …”
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The Immune‐Related Gene CD48 Is a Prognostic Biomarker Associated With the Breast Cancer Tumor Microenvironment by Yi Zhao, Hengheng Zhang, Wenwen Wang, Guoshuang Shen, Miaozhou Wang, Zhen Liu, Jiuda Zhao, Jinming Li

“…Gene set enrichment analysis showed that high CD48 expression was mainly associated with immune‐related pathways, suggesting that CD48 may be an important factor for maintaining an immune‐dominant TME in BCa. …”
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Review of guideline for the management of large vessel vasculitis presented in 2021 by the American College of Rheumatology / Vasculitis Foundation by T. V. Beketova, I. Yu. Popov, V. A. Zelenov

“…The main statements of the recommendations of the American College of Rheumatology and the Vasculitis Foundation on the treatment of patients with systemic vasculitis of large vessels, published in August 2021, are discussed. …”
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Blockchain Approaches Survey for Big Data: Systematic Study, Challenges and Innovations by Sila Yavuz, Enes Korkmaz

“…The growth of data in blockchain is the main important part that needs processing for further results as features. …”
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Artificial neural networks for spatial distribution of fuel assemblies in reload of PWR reactors by Edyene Oliveira, Victor Castro, Carlos Velasquez, Claubia Pereira

“…An artificial neural network methodology is being developed in order to find an optimum spatial distribution of the fuel assemblies in a nuclear reactor core during reloading. The main bounding parameter of the modeling was the neutron multiplication factor, keff. …”
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Modern aspects of diagnostics and treatment of <i>H. pylori</i> infection from standpoint of stomach cancer prophylaxis by A. A. Sheptulin, T. L. Lapina

“…To discuss modern aspects of diagnostics and treatment of H. pylori infection in relation of stomach cancer prophylaxis according to data of oral and poster presentations, delivered at XXVII International workshop of the European Helicobacter Study Group.Summary. The main attention has been given to relation of H. pylori infection to stomach cancer and eradications of infection as a mean of malignancy prevention. …”
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Large Language Model and Digital Twins Empowered Asynchronous Federated Learning for Secure Data Sharing in Intelligent Labeling by Xuanzhu Sheng, Chao Yu, Xiaolong Cui, Yang Zhou

“…By analysising and comparing and with other existing asynchronous federated learning algorithms, the experimental results show that our proposed method outperforms other algorithms in terms of performance, such as model accuracy and running time. …”
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Quality management of biosampling and data collection from women at different stages of pregnancy for the search for early biomarkers of preterm birth: predicting errors and risk m... by O. V. Pachulia, R. A. Illarionov, E. S. Vashukova, N. A. Yurkina, M. G. Butenko, T. B. Postnikova, O. N. Bespalova, A. S. Glotov

“…The main condition for ensuring effective sampling for creating a bioresource collection is quality management, which implies careful planning and predicting errors at all stages. …”
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Investigation of the Earliest Ozone Pollution Events in Hangzhou Bay, China Based on Observations and ERA5 Reanalysis Data by Tianen Yao, Xinhao Li, Zhi Li, Xinyu Yang, Jinjia Zhang, Yaqi Wang, Jianhui Guo, Jing Li

“…Based on the Shapley Additive Explanation (SHAP) algorithm, ozone pollution increases when solar radiation exceeds 12 million J/m² and is accompanied by high temperatures. …”
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Application of an improved spherical omnidirectional loudspeaker array model in environmental noise pollution control by Yinsheng Li, Wenping Li, Maixia Fu, Zhaoying Wang, Yueyang Li

“…Abstract Controlling environmental noise pollution presents a significant challenge for current noise control efforts, mainly when the noise reduction target is mobile. …”
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What Can DKIST/DL-NIRSP Tell Us about Quiet-Sun Magnetism? by Jiayi Liu, Xudong Sun, Peter W. Schuck, Sarah A. Jaeggli

“…However, the net Poynting flux tends to be significantly underestimated. The error mainly arises from the underestimated contribution of the horizontal motion. …”
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Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved YOLOv4-CSP by Ziyang Zheng, Ting Zhang, Zhaoying Liu, Bo Liu, Yujian Li, Changming Sun

“…At present, most of the algorithms are dedicated to improving the detection accuracy, while ignoring the detection speed. …”
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Spatiotemporal tensor analysis for effective information mining of hydraulic structures considering environmental excitation and vibration response by Hui Li, Zhang Han, Tengfei Bao, Xiaohan Duan, Guang Yang, Xianyu Xiong, Yibo Ouyang, Jiankang Lou

“…The feature of “open” is mainly manifested as the coupling effect field of multiphase environmental factors. …”
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Global Color Consistency Correction for Large-Scale Images in 3-D Reconstruction by Yunmeng Li, Yinxuan Li, Jian Yao, Ye Gong, Li Li

“…The core idea of our method is to group images by graph partition algorithm, and then perform intragroup correction and intergroup correction in sequence. …”
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Analysis of the Causes for Renal Dysfunction during Antibiotic Therapy in a Patient with Lyme Disease by N. Yu. Velts, E. O. Zhuravleva, G. V. Kutekhova, N. V. Tereshkina, A. O. Lovkova, K. V. Gorelov, V. A. Polivanov, S. M. Gyulakhmedova

“…Ceftriaxone is potentially nephrotoxic; it mainly affects the tubular system of the kidneys. …”
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TSMAL: Target-Shadow Mask Assistance Learning Network for SAR Target Recognition by Shuai Guo, Ting Chen, Penghui Wang, Junkun Yan, Hongwei Liu

“…Deep learning-based synthetic aperture radar (SAR) target recognition methods mainly emphasize the amplitude characteristics resulting from backscatter at the target&#x0027;s principal scattering points. …”
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