Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm by Ksenia Vladimirovna Lagutina

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Quality of Pedestrian Networks Around Metro Stations: An Assessment Based on Approach Routes by Qiyao Yang, Zheng Zhang, Jun Cai, Mengzhen Ding, Lemei Li, Shaohua Zhang, Zhenang Song, Feiyang Chen, Yi Ling

“…Considering the objective physical characteristics of pedestrian networks and the subjective assessments of walkers on the routes, this study developed an evaluation model that integrated the Analytic Hierarchy Process and Entropy Weight Method with human–machine adversarial scoring and cosine similarity to validate the reliability. …”
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Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

“…The study underscores the impacts of the optimizer selection, batch size, and feature extraction methods on model performance and computational efficiency, offering valuable insights for optimizing deep learning models for RFS-based human emotion recognition.…”
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Simulation of Material and Heat Balance of 150 t AOD Melting 430 Stainless Steel under Different Charge Conditions by Lu　Xiaohui, Kang　Congpeng, Chen　Hongzhi, Xu　Yongbin

“…The model calculation process can adjust and optimize the charge ratio according to the conditions of raw materials entering the furnace， which can provide theoretical and production guidance for AOD production of stainless steel.…”
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Seasonal colonisation and ecological succession shape coral reef sessile cryptobenthic communities in Autonomous Reef Monitoring Structures by Baptiste Frattini, J. Henrich Bruggemann, Eric Goberville, Marion Couëdel, Fleur Bruggemann, Mireille M. M. Guillaume

“…Mean morphospecies richness increased from 24.8 ± 1.9 at 6 months to 33.3 ± 5.8 at 2 years, with taxa turnover driving β-diversity. Null model analyses indicated that stochastic processes shaped community membership, while deterministic processes regulated taxa abundances throughout succession. …”
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Research on Key Technology for Perforating 10 000-Metre Deep-Earth Exploration Wells by YU Lei, TANG Kai, CHEN Jianbo, XU Jiale, MA Ziqiang, LI Benchi, LU Yinghui

“…The 10 000-metre deep-earth exploration well shoulders the major tasks of scientific exploration and oil and gas discovery, and has far-reaching significance in the field of ultra-deep oil and gas exploration. …”
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MODEL PEMBELAJARAN ROLE PLAYING PADA MATA PELAJARAN PS-EKONOMI MATERI POKOK MANUSIA SEBAGAI MAKHLUK SOSIAL DAN EKONOMI by - Kardoyo, Esti Mumpuni Wahyuningtyas

“…In the year 2006/2007 using learning model of role playing. The result study show there is increasing score reach in last cycle II is 7.81 with study completing classically 86.05%. …”
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Lateral Bearing Characteristics of Bucket Foundation Breakwaters in Soft Soil of Port Areas by WANG Shuai, ZHANG Jia-lin, HU Shao-wei, YOU Jian-hua, YANG Yu-ming

“…When the displacement reached 150.3 mm, the maximum displacement of the soil on the rear side was 54.2 mm. (3) The ultimate bearing capacity obtained from the model test was 14.26 kN, while the finite element analysis calculated 15.07 kN, with a relative error of 5.68%. …”
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Deformation behavior and microstructure evolution of one novel superalloy with high rare earth gadolinium content: Multi-scale modeling and experimental study by Xin Fu, Qing-Chun Zhu, Wen-Bin Chen, Li Jiang, Fang Liu, Zhi-Jun Li

“…The Ni–Mo–Cr-Gd alloy exhibits higher deformation activation energy and smaller processable regions in the processing maps as compared with the Ni–Mo–Cr alloy. …”
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Sensitivity Analysis of Noah-MP Model Parameterization Schemes for Soil Moisture Simulation in the High-Cold Region of the Upper Heihe River Basin by Kexiu HUANG, Yuanhong YOU, Yanyu LU, Ying HAO, Zuo WANG, Jing SUN

“…In the context of climate change， accurately simulating soil moisture using land surface process models holds significant importance for weather forecasting， agricultural production， and hydrological processes.This study utilized meteorological observation data from the Arou site in the upper reaches of the Heihe River as the driving data for the Noah-MP model to conduct soil moisture simulation experiments， aiming to assess the soil moisture simulation performance of the Noah-MP model in the alpine mountainous area of the upper reaches of the Heihe River.Without considering uncertainties in model parameters and driving data， arbitrary combinations of the parameterization schemes for different physical processes of the Noah-MP model were made.A soil moisture multi-parameterization ensemble simulation experiment encompassing 17， 280 different combination schemes was designed.The Natural Selection sensitivity analysis method was employed to analyze the sensitivity of shallow soil moisture simulation results to the parameterization schemes and further quantify the uncertainty range of the simulation results of the soil moisture multi-parameterization ensemble.The results of this research indicate that the Noah-MP model can be applied to simulate soil moisture in the alpine mountainous area of the upper reaches of the Heihe river basin.The model demonstrates relatively high accuracy in simulating shallow soil moisture， and the simulated soil moisture change trends are generally consistent with the observed data.This consistency suggests that the Noah-MP model is well-suited for capturing the dynamics of shallow soil moisture in these regions.However， the simulation accuracy for deep soil moisture is relatively poor， with the simulated soil moisture change trends showing considerable deviations from the observed data.This suggests that there are still challenges in accurately modeling moisture dynamics at greater soil depths， potentially due to the complexity of subsurface hydrological processes in cold and mountainous environments.The analysis also reveals that shallow soil moisture simulation results are sensitive to the parameterization schemes of four physical processes： supercooled liquid water in frozen soil， frozen soil permeability， partitioning precipitation into rainfall and snowfall， and the first-layer snow or soil temperature time scheme.Among these， the parameterization scheme of frozen soil permeability is particularly sensitive， indicating that it plays a crucial role in determining the accuracy of the simulation results.During the soil freeze-thaw cycle in the alpine mountainous area of the upper reaches of the Heihe River， the simulation results of soil moisture during the freezing period showed increased sensitivity to parameterization schemes， making the selection of the parameterization scheme for the soil freezing process the main factor contributing to the uncertainty of the simulation results of the soil moisture multi-parameterization ensemble.…”
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InnoChain: a Distributed Ledger for Industry with Formal Verification on all Implementation Levels by Vladimir Aleksandrovich Kukharenko, Kirill Viktorovich Ziborov, Rafael Faritovich Sadykov, Alexandr Vladimirovich Naumchev, Ruslan Maratovich Rezin, Leonid Albertovich Merkin-Janson

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A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

“…Conclusions The accuracy of the machine learning classification prediction model established by the optimized modelling method and process reached 87.22%, which can assist doctors in preoperative risk prediction.…”
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Practice of large language model training optimization based on large-scale AI cluster with more than 10 000 domestic NPU by LOU Tao, NIU Hongweihua, ZHANG Pengfei, DONG Jiangfan, LI Panpan, LI Daotong, XU Weidong, YAO Chenghui, XUE Lianhao, TANG Ting, XIANG Jie

“…At the same time, a set of stability assurance mechanisms was built throughout the entire large language model training process to achieve real-time monitoring of key indicators before and during model training, as well as the ability to quickly diagnose faults after training task were interrupted. …”
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A Flexible and Configurable System to Author Name Disambiguation by Natan de Souza Rodrigues, Celia Ghedini Ralha

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Fracture Mechanics-Based Modelling of Tool Wear in Machining Ti6Al4V Considering the Microstructure of Cemented Carbide Tools by Hossein Gohari, Bin Shi, M. Helmi Attia, Rachid M’Saoubi

“…This study introduces a new wear model that can predict tool life in the milling process of Ti6Al4V using a cemented carbide tool. …”
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The Policy-Making Model Based on Conflict of Interest Management in Crisis Conditions in the Country\'s Health System (Case of Study: The Experience of COVID-19) by Mahnaz sabzi, abbas Monavarian, Tayebeh Abbasi

“…This study was conducted by collecting data, through library studies and semi-structured interviews with 12 experts of the country's health system through theoretical sampling until the saturation point was reached. The inclusion criteria were familiarity with the policy-making process in the health system and having at least a master's degree related to policy-making, and the exclusion criterion was lack of desire and motivation. …”
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Innovating a Teach-Back Model for Community Health Workers Led Health Literacy Practice to Improve COVID-19 Health Equity by Kathryn Anderson, Eddie Rojas-Alvarado, Leyna Aragon, Joshua Bradshaw, Emily Fontana, Fred Hernandez, Colleen McCuskey, Hanna Nguyen, Terry Schlader, Jenny Vazquez, Janet Page-Reeves

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Reservoir Dam Failure-Oriented Flood Simulation Based on a Zero-Dimensional and Two-Dimensional Coupled Breach Flow Calculation Model by LIAN Zhiwei, CHENG Qing, SONG Lixiang, ZHA Dawei, ZHANG Xue, ZHAO Yujie

“…However, since the model fully considered the irregular breach cross-section formed during an actual failure process, the result was slightly smaller than that of the broad-crested weir formula. …”
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Load transfer behaviour of super long piles in multi-layer soft soil through field testing and numerical 3D FEM modelling by Thoi Huu Tra, Thanh T. Nguyen, Thien Q. Huynh, Tatsuya Ishikawa

“…The results are then used to not only explore load-transfer process, but also validate numerical modelling through a comprehensive process combining multiple-soil layers and −loading stages. …”
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La Palma 2021 Eruption (Canary Islands): Measurements and Modelling of Lava Flow Cooling Rates and Applications for Infrastructure Reconstruction and Risk Mitigation by Luis González-de-Vallejo, Aaron Álvarez-Hernández, Mercedes Ferrer, John P. Lockwood, Nemesio M. Pérez, Pedro A. Hernández, Ana Miranda-Hardisson, José A. Rodríguez-Losada, David Afonso-Falcón, Héctor de-los-Ríos, Javier Páez-Padilla, Luis E. Hernández-Gutiérrez

“…This led to the development of geological engineering solutions that permit road construction and urban and agricultural reconstruction to begin sooner than estimated by the cooling models. On the other hand, potential hazards arising from the eruption process have also been taken into account. …”
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