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Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model
Published 2023-03-01“…In this work, we develop a posteriori error control for a generalized Boussinesq model in which thermal conductivity and viscosity are temperature-dependent. …”
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343
Lean technology principles improve management of medical organizations
Published 2021-03-01Get full text
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344
Effective Control Strategies for Sex-Structured Transmission Dynamics of Visceral Leishmaniasis
Published 2025-06-01“…We extended a sex-structured VL model by introducing four control variables: insecticide-treated bed nets, vector control, medical treatment, and animal culling. …”
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345
Dimensionality Reduction Optimization of High Subsonic Unmanned Aerial Vehicles Intake
Published 2025-05-01“…The results show that after dimensionality reduction through sensitivity analysis and PCA, the average error and coefficient of determination of the surrogate model were improved. …”
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Design and test on vibration reduction for knife driving device of combine harvester
Published 2014-09-01“…Furthermore, it is necessary to develop a design theory of the knife driving system of combine harvesters in order to derive the control parameters of the balance weights used for vibration reduction.The mechanical model of the knife driving device that is equipped with a slider-crank mechanism was constructed in order to derive the control parameters of the balance weights, such as the mass and the location of the balance mass. …”
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348
Experimental and numerical study on surface roughness of magnetorheological elastomer for controllable friction
Published 2019-10-01“…Abstract Magnetorheological elastomer (MRE) is a type of smart material of which mechanical and electrical properties can be reversibly controlled by the magnetic field. In this study, the influence of the magnetic field on the surface roughness of MRE was studied by the microscopic modeling method, and the influence of controllable characteristics of the MRE surface on its friction properties was analyzed by the macroscopic experimental method. …”
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349
Cocaine and stimulants, the challenge of self-regulation in a harm reduction perspective
Published 2015-03-01“…Through a critical overview of the disease model and taking cues from users’ self regulation strategies, a new “self regulation” operational model has been developed, focused on users’ control abilities; and on social context and setting of use, following the drug/set/setting paradigm. …”
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350
Using PAT for Energy Recovery and Pressure Reduction in Water Distribution Networks
Published 2024-03-01“…Results show that the use of PATs to control the pressure is effective, so that compared to the basic model, the leakage rate has decreased by about 33% and the Nodal Pressure Reliability Index (NPRI) has increased by 0.41. …”
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351
Experimental study on the drag reduction performance of sodium alginate in saline solutions
Published 2024-12-01“…The experimental process was designed using Response Surface Methodology (RSM), and a predictive regression model for the drag reduction rate (DR) was developed. …”
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352
Optimization of Vibration Reduction Ability of Ladder Tracks by FEM Coupled with ACO
Published 2015-01-01“…We describe how to build the FEM model verified by the vibration tests in the Track Vibration Abatement and Control Laboratory and how to couple the FEM with ACO. …”
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353
Effect of Particulate Organic Carbon Deposition on Nitrate Reduction in the Hyporheic Zone
Published 2023-07-01“…When POC is the predominant form of OC in streams, how POC influences NO3− reduction within a HZ remains unclear. We established a new reactive transport model incorporating POC transport and filtration processes to assess how POC deposition affects NO3− removal. …”
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354
Design and Analysis of an MPC-PID-Based Double-Loop Trajectory Tracking Algorithm for Intelligent Sweeping Vehicles
Published 2025-04-01“…Based on the kinematic model of the intelligent sweeping robot, a model predictive controller (MPC) was designed to regulate the vehicle’s pose, while a PID controller was used to adjust the longitudinal speed, forming a dual closed-loop control algorithm. …”
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355
Mathematical Frameworks for Network Dynamics: A Six-Pillar Survey for Analysis, Control, and Inference
Published 2025-06-01“…However, the methodological landscape remains fragmented, with distinct communities advancing separate formalisms for spreading, control, inference, and design. This review presents a unifying six-pillar framework for the analysis of network dynamics: (i) spectral and structural foundations; (ii) deterministic mean-field reductions; (iii) control and observability theory; (iv) adaptive and temporal networks; (v) probabilistic inference and belief propagation; (vi) multilayer and interdependent systems. …”
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Sustainable fertilizer management for reduction of greenhouse gases emission in bamboo forest
Published 2014-01-01“…Previous studies found that proper fertilizer using control strategy can reduce agricultural CO<sub>2</sub>, N<sub>2</sub>O, CH<sub>4</sub> emission, however, influence crop yields as well. …”
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358
Virtual Flux Control Methods for Grid-Forming Converters: A Four-Method Comparison
Published 2025-05-01“…The assessment includes methods based on PI regulators, using the mathematical flatness property of differential algebra, direct control (DC), and model predictive control (MPC). …”
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359
Reduction of death anxiety in patients with advanced cancer in short-term psychotherapy
Published 2025-04-01“…Data were collected using validated questionnaires; death anxiety was assessed using an adapted version of the Death and Dying Distress Scale (DADDS). Predictors of the reduction of death anxiety were investigated using multiple linear regression models.ResultsThe sample comprised 194 patients (average age 58 years, 62% female, all with a UICC stage of III or IV). …”
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360
Mitigating atmospheric carbon dioxide through deployment of renewable energy: A mathematical model
Published 2025-03-01“…However, beyond a critical threshold of renewable energy dependency, the system stabilizes around the interior equilibrium, leading to a reduction in atmospheric CO2. Additionally, an optimal control problem is formulated to reduce atmospheric CO2 level while minimizing the associated implementation costs. …”
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