Reduction of Cystatin B results in increased cathepsin B activity in disomic but not Trisomy 21 human cellular and mouse models. by Yixing Wu, Karen Cleverley, Frances K Wiseman

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A Multi-Point Moment Matching Approach with Frequency-Aware ROM-Based Criteria for RLCk Model Order Reduction by Dimitrios Garyfallou, Christos Giamouzis, Nestor Evmorfopoulos

“…Model order reduction (MOR) is crucial for efficiently simulating large-scale RLCk models extracted from modern integrated circuits. …”
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Prediction of Reduction Recovery of Iron and Vanadium Oxides in Low-Grade Vanadium–Titanium Magnetite Based on Response Surface Model by Xueting Jiang, Hao Wu, Aijun Deng

“…This indicates that the RSM prediction model has high accuracy and reliability. After parameter optimization of the RSM prediction model, when the reduction temperature is 1446 °C~1498 °C and the reduction time is 43 min~60 min, the maximum reduction rates of iron oxide and vanadium oxide in iron ore can reach 92.93% and 69.20%, respectively. …”
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Optimizing Models and Data Denoising Algorithms for Power Load Forecasting by Yanxia Li, Ilyosbek Numonov Rakhimjon Ugli, Yuldashev Izzatillo Hakimjon Ugli, Taeo Lee, Tae-Kook Kim

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Transmission and control of Plasmodium knowlesi: a mathematical modelling study. by Natsuko Imai, Michael T White, Azra C Ghani, Chris J Drakeley

“…<h4>Conclusion</h4>This model simulates conditions where P. knowlesi transmission may occur and the potential impact of control measures. …”
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Research on NOx Emission Reduction Technologies and Simulation of Environmental Benefits for Gas-Fired Power Plants in China by Zhitan LIU, Xiuyong ZHAO, Yugang LI, Kai WANG

“…Based on the current development status, regional distribution and NOx emission situations of gas-fired power plants in China and the future trend of the environmental protection policies for gas-fired power generation, this paper firstly expounds the necessity of further NOx emission reductions from gas-fired power plants. Secondly, it analyzes and compares the pros and cons as well as the application potentials of three NOx emission reduction control technologies, i.e., low nitrogen burners, SCR of waste heat boilers and external control. …”
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Design of a lightweight broadband vibration reduction structure with embedded acoustic black holes in viscoelastic damping materials by Liang Xu, Jie Zhang, Jiang Li, Huaan Tian, Chaofan Zheng, Shaoyun Guo

“…Firstly, a finite element method-based vibration model is developed to analyse the propagation and attenuation characteristics of vibrations in a plate strip embedded with ABH-VDM. …”
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A Study on Improving of Adaptive Sensorless Control Performance via Funnel Control by Jun-Seo Han, Gyung-Jae Cho, Hyeon-Ji Jin, Geun-Ho Lee

“…Model-based sensorless control, which estimates the position and speed of a motor via mathematical analysis, has been studied using various methods because of its simple formula and adequate performance without additional power consumption. …”
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Dual-Vector Model Predictive Current Control with Entire-Time-Domain Current Harmonic Optimization and Robust Control Strategy by Dahui Guo, Jian Yang, Hanbin Zhou, Qian Huang, Mi Dong, Liqing Liao

“…This article proposes a robust dual-vector model predictive control (RDVMPC) strategy for high-power three-level inverters, specifically designed to optimize current harmonics. …”
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The Unstressed Vowel Reduction of Galician by Alba Aguete Cajiao

“…The results were analyzed by applying individual linear mixed-effects models for each vowel. The results show that two different mechanisms are involved in the reduction process, namely raising and centralization, and conclude that, in Galician, this process does not depend on the duration of the segment, and, thus, it is controlled by the grammar of the language.…”
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Coupled Dynamics Modeling and Validation of Maglev Vehicle and Bridge Systems by Fei Zhou, Xiaolong Li

“…Using the modal reduction method, the bridge finite element model is imported into the vehicle dynamics model through a rigid–flex coupling interface, establishing a medium–low-speed maglev vehicle suspension system–bridge coupling dynamics model. …”
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Reduction of the Disturbance Effects in a Twin Rotor Multi-Input Multi-Output System Based on a Modified Smith Predictor Control Scheme by Aissa Mehallel, Vicente Feliu-Batlle

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Conditioned open-label placebos to facilitate opioid reduction in patients with chronic non-cancer pain: study protocol of a randomised controlled trial by Cosima Locher, Antje Frey Nascimento, Isabelle Arnet, Roland von Känel, Joram Ronel, Konrad Streitberger, Michael Bernstein, Helen Koechlin, Katja Carratta, Kiara Bodonyi, Daniel Friis, Lukas Bircher, Alfred Josef Roth, Elisabeth Olliges

“…This study aims to assess whether OLPs can enhance the reduction of daily morphine equivalent dose (MED) in chronic non-cancer pain patients and examines its potential in mitigating opioid withdrawal symptoms.Methods and analysis This study is designed as a randomised, controlled, single-centre trial. …”
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A solving new method for the urea-selective catalytic reduction (SCR) system in a diesel engine using coupled hyperbolic-parabolic partial differential equations (PDEs) by Wenlong Liu, Ying Gao, Yuelin You, Changwen Jiang, Taoyi Hua, Bocong Xia

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Effectiveness of legislative actions against tobacco smoking regarding the reduction of in-hospital morbidity of angina pectoris and myocardial infarction in Russia as a whole and... by M. G. Gambaryan, A. V. Kontsevaya, T. A. Agishina, O. M. Drapkina

“…We analyzed the relationship between the TC law measures implementation scores and RR of hospital admissions reductions for angina and MI after the TC law by means of Spearman’s rank correlation (coefficient with 95% CI) and linear regression models. …”
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Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning by Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka

“…After meteorological changes from the control case to four urban modification scenarios were predicted using the WRF–CMBEM, potential reductions in heat-related deaths were estimated using previously successful ML-trained models. …”
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Reduction of uncertainties in rice yield response to elevated CO2 by experiment-model integration: A case study in East China by Zihao Wang, Yu Zhang, Xueni Wang, Yanfeng Ding, Songhan Wang

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Governments’ behavioral strategies in cross-regional reduction of inefficient industrial land: learned from a tripartite evolutionary game model by Guangyu Li, Shaohua Wu, Heyuan You, Chengcheng Wang

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Neuro-fuzzy controller based adaptive control for enhancing the frequency response of two-area power system by M.S. Elborlsy, Samir A. Hamad, Fayez F.M. El-Sousy, R.M. Mostafa, H.E. Keshta, Mohamed A. Ghalib

“…Adaptive Neuro-Fuzzy Inference System (ANFIS) controller-model reference adaptive control (MR-ANFIS), a non-linear adaptive controller that can adapt to the various operational settings is suggested in this research for the frequency control loop of LC at each source to improve the transient response of the system frequency across all operating conditions. …”
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A novel controllability method on temporal networks based on tree model by Peyman Arebi

“…Evaluation against conventional methods on experimental datasets reveals notable improvements: a 41.8% reduction in the minimum number of control nodes, a 36.37% decrease in time of receiving fully control network, and a 38.5% reduction in control algorithm execution time compared to layered model-based control methods.…”
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