Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train by TIAN Mingjie, HUANG Zhihui, CHEN Xuejing, YANG Quan, YU Hongda

“…A sensitivity analysis of factors affecting the performance of hot metal trains negotiating curves was carried out by using the gradient algorithm. The results show that, under 26 different operating conditions, the derailment coefficient of the 6 hot metal cars exhibits a consistent trend with the wheel load reduction rate, with the maximum derailment coefficient observed for the first car being most significant. …”
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Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels by Qiwei Ji, Huabing Wu

“…Simulation results based on the Watterson channel model demonstrate that MATE achieves an average time-delay estimation error of approximately 0.01 ms with a standard deviation of approximately 0.01 ms, representing a 94.12% reduction in mean error and a 96.43% reduction in standard deviation compared to the traditional Generalized Cross-Correlation (GCC) method. …”
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Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters by Hossam H. H. Mousa, Karar Mahmoud, Matti Lehtonen

“…The results demonstrate significant improvements, including a 16% reduction in feeder congestion, a 150% increase in PV penetration, a 13% reduction in power losses, and decreased reliance on the UG, ensuring enhanced power quality and system reliability.…”
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Determination of metallization degree of pre-reduced chromite with image and rietveld analysis by Leino T., Taskinen P., Eric R.H.

“…Metallization degrees for the investigated samples ranged from 15 to 65 % depending on the extent of reduction which was a function of time, reduction temperature, and methane content of the gas mixture. …”
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Optimisation of Integrated Heat Pump and Thermal Energy Storage Systems in Active Buildings for Community Heat Decarbonisation by Zaid Al-Atari, Rob Shipman, Mark Gillott

“…The study employs an algorithm that adjusts thermal storage charging and discharging cycles to align with off-peak periods. …”
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Estimating root zone soil moisture in farmland by integrating multi-source remote sensing data based on the water balance equation by Xuqian Bai, Shuailong Fan, Ruiqi Li, Tianjin Dai, Wangye Li, Sumeng Ye, Long Qian, Lu Liu, Zhitao Zhang, Haorui Chen, Haiying Chen, Youzhen Xiang, Junying Chen, Shikun Sun

“…The model is developed based on the soil water balance equation and incorporates multi-source remote sensing data. A random forest algorithm is employed as the core predictive framework. …”
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Generalized Tolerance Optimization for Robust System Design by Adaptive Learning of Gaussian Processes by Julia Stecher, Lothar Kiltz, Knut Graichen

“…Second, the methods are applied to challenging engineering problems, namely the automatic tuning of nonlinear model-predictive controllers, where the control plant is subject to parametric uncertainties. …”
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Design of English Intelligent Simulated Paper Marking System by Lina Yang, Wei Liu

“…The results show that the English essay scoring fitting algorithm proposed in this paper can well improve the prediction accuracy of some data and solve the problem of skewed data where the scores show a normal distribution. …”
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Rapid Penetration Path Planning Method for Stealth UAV in Complex Environment with BB Threats by Zhe Zhang, Jian Wu, Jiyang Dai, Cheng He

“…Besides, the multistep search strategy, the prediction technique, and path planning algorithm are developed for stealth UAV to deal with BB threats and achieve the penetration path replanning in complex scenarios. …”
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Remote Sensing in the 15 µm CO₂ Band: Key Concepts and Implications for the Heat Balance of Mesosphere and Thermosphere by Alexander Kutepov, Artem Feofilov, Ladislav Rezac, Konstantinos S. Kalogerakis

“…We investigated the algorithms and physical models currently applied to remote sensing of the mesosphere and lower thermosphere (MLT) using space-based observations of the CO₂ 15 µm emission. …”
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Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…It delivered performance that matches manual control in terms of cane spillage reduction and planting quality, all while eliminating the need for an operator. …”
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Results of a non-interventional multicenter observational study on the diagnosis and treatment of patients with axial psoriatic arthritis in rea-world clinical practice in the Russ... by T. V. Korotaeva, E. E. Gubar, E. Yu. Loginova, Yu. L. Korsakova, E. A. Vasilenko, I.-D. Yu. Ilyevsky, L. V. Ivanova, E. Yu. Akulinushkina, P. А. Shesternya, O. V. Matveychuk, Yu. Yu. Grabovetskaya, A. A. Barakat, M. A. Korolev, E. V. Zonova, O. A. Georginova, I. V. Kolotilina, I. M. Marusenko, I. B. Vinogradova, O. B. Nesmeyanova, N. E. Grigoriadi, A. V. Petrov, D. G. Krechikova, T. V. Kropotina, S. P. Yakupova, V. I. Mazurov

“…Switching therapy to bDMARDs led to a significant reduction in disease activity.In order to improve the quality of medical care, the Russian clinical guidelines for the treatment of patients with PsA and the algorithms for the diagnosis of axial involvement need to be comprehensively implemented.…”
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Research Progress on Selective Depolymerization of Waste Plastics to High-Quality Liquid Fuels by Xinze LI, Zhicheng LUO, Rui XIAO

“…Economically, catalytic pyrolysis shows near-term viability with a break-even cost of 0.8 – 1.2 $/L for diesel-range fuels, while photocatalysis requires a 50% – 70% reduction in catalyst synthesis costs (e.g., replacing Pt with Fe-Ni sulfides). …”
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Cerebral dysfunction in patients with acute myocardial infarction by N. A. Muradyan, I. M. Kuzmina, T. R. Gvindzhiliya, V. M. Balanyan, K. A. Popugaev

“…The identification of predictive factors for cerebral deficiency in acute myocardial infarction and the development of an algorithm for the management of such patients is an urgent task of today medicine.Aim. …”
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Evaluation of Machine Learning Applications for the Complex Near-Critical Phase Behavior Modelling of CO₂–Hydrocarbon Systems by Daulet Magzymov, Meruyert Makhatova, Zhasulan Dairov, Murat Syzdykov

“…The objective of this study was to evaluate the capability of machine learning models to accurately predict complex near-critical phase behavior in CO₂–hydrocarbon systems, which are crucial for enhanced oil recovery and carbon storage applications. …”
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AI-driven model for optimized pulse programming of memristive devices by Benjamin Spetzler, Markus Fritscher, Seongae Park, Nayoun Kim, Christian Wenger, Martin Ziegler

“…Here, we present a computationally efficient AI model for predicting the weight update of memristive devices and guiding device programming. …”
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Experimentally validated inverse design of FeNiCrCoCu MPEAs and unlocking key insights with explainable AI by Fangxi Wang, Allana G. Iwanicki, Abhishek T. Sose, Lucas A. Pressley, Tyrel M. McQueen, Sanket A. Deshmukh

“…Additionally, the measured Young’s moduli were in good qualitative agreement with computational predictions. The SHapley Additive exPlanations (SHAP) analysis of the SEML model revealed a relationship between elemental concentration and USFE. …”
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Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning by Abimbola Efunogbon, Enjie Liu, Renxie Qiu, Taiwo Efunogbon

“…The framework leverages the LazyPredict module to automatically select optimal supervised learning algorithms based on real-time network conditions and historical data. …”
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Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks by Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara

“…It is a self-tuning model, tested in the context of phishing link detection. In this prediction model diverse types of aggregation functions and time-series data periods are used. …”
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Multi objective optimization and experimental investigation of the stirring performance of a novel micro actuator by Zhuowei He, Junjie Lei, Jingjing Yang, Huba Zhu

“…This study employs the finite element (FE) method to numerically investigate the effect of critical structural parameters on the stirring performance of a novel scissor-type thrombolytic micro-actuator. A quadratic predictive model for its tip amplitude and stirring force is established using the Response Surface Methodology (RSM). …”
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