Finer resolutions and targeted process representations in earth system models improve hydrologic projections and hydroclimate impacts by Puja Das, Auroop R. Ganguly

“…We compare hydroclimate representations and runoff projections across two generations of Coupled Modeling Intercomparison Project (CMIP) models, specifically, CMIP5 and CMIP6, with gridded runoff from Global Runoff Reconstruction (GRUN) and ECMWF Reanalysis V5 (ERA5) as benchmarks. Our results show that systematic embedding of the best available process models and parameterizations, together with finer resolutions, improve runoff projections with uncertainty characterizations in 30 of the largest rivers worldwide in a mechanistically explainable manner. …”
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Experimental observation of neutron-neutron correlations in nucleus 6He from 3H(α,pα)nn reaction by O. M. Povoroznyk, O. K. Gorpinich

“…The results of the Monte Carlo parameterization show that in the case of the decay of the first excited state of 6He, the configuration of the "alpha-particle + dineutron" dominates only in a limited phase-space domain, while in other kinematics and for the second and third excited states, the configurations of "alpha-particles + dineutron" and "alpha-particles + cigars" are present in different ratios.…”
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Nonlocal Inadvertent Weather Modification Associated with Wind Farms in the Central United States by Matthew J. Lauridsen, Brian C. Ancell

“…Here, an ensemble modeling approach is utilized with a wind farm parameterization to quantify the sensitivity of meteorological variables to the presence of wind farms. …”
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Research of Composed Profile with Wide Top High-sealing Zone of Involute Rotor by Yulong Li, Ping Liu, Yong Zang, Jun Fan, Ying Cheng

“…Finally, an innovative configuration of profiles is given to eliminate trapped-gas phenomenon. All results show that the innovative profiles is meet high performance requirement for maximizing volume utilization coefficient and minimizing radial top leakage. …”
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Acoustic Methods in Identifying Symptoms of Emotional States by Zuzanna PIĄTEK, Maciej KŁACZYŃSKI

“…The collected recordings come from the media, including live journalistic broadcasts, which show spontaneous emotional reactions to real-time stimuli. …”
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Mathematical Model for Analyzing Heat Transfer Characteristics of Ablative Thermal Insulating Material by Junjie Gao, Haitao Han, Daiying Deng, Jijun Yu

“…The results show that the equivalent thermal conductivity decreases with the density, size, distribution area, and distance of microsphere and the space distance and volume fraction of fiber decreasing. …”
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Transient Fault Detection in Networked Control Systems by Xiong-Feng Huang, Chun-Jie Zhou, Shuang Huang, Kai-Xin Huang, Xuan Li

“…The simulation results show that the faults are exposed in the gradual detection hierarchies and the effectiveness of the detection scheme is quite promising.…”
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Deep Ocean Learning of Small Scale Turbulence by Ali Mashayek, Nick Reynard, Fangming Zhai, Kaushik Srinivasan, Adam Jelley, Alberto Naveira Garabato, Colm‐cille P. Caulfield

“…This constitutes a promising first step toward a hybrid physics‐artificial intelligence approach to parameterization of turbulent mixing in ocean and climate models.…”
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Encounter rates and engagement times limit the transmission of conjugative plasmids. by Jorge Rodriguez-Grande, Yelina Ortiz, Daniel Garcia-Lopez, M Pilar Garcillán-Barcia, Fernando de la Cruz, Raul Fernandez-Lopez

“…By analyzing conjugation dynamics at different cell concentrations, here we show that this assumption only holds at very low bacterial densities. …”
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Melt Pond Evolution along the MOSAiC Drift: Insights from Remote Sensing and Modeling by Mingfeng Wang, Felix Linhardt, Victor Lion, Natascha Oppelt

“…We evaluated different melt pond parameterization schemes based on remote sensing observations. …”
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Consistent analysis of the elastic, inelastic and fusión cross sections in the systems 16O + 144, 148, 150, 152Sm at sub-barrier energies by E. Guerra, J. Lubian, R. Cabezas

“…By fitting procedure, a parameterization of the deformed optical potential was obtained that shows the so called “threshold anomaly”. …”
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Consistent analysis of the elastic, inelastic and fusión cross sections in the systems 16O + 144, 148, 150, 152Sm at sub-barrier energies by E. Guerra, J. Lubian, R. Cabezas

“…By fitting procedure, a parameterization of the deformed optical potential was obtained that shows the so called “threshold anomaly”. …”
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Battery Ageing as Part of the System Design of Battery Electric Urban Bus Fleets by M. Ufert, B. Bäker

“…This paper presents a model for the analysis and prediction of the lifetime of urban electric bus batteries. The parameterization of the model is based on laboratory measurements. …”
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A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback by Kritti Sharma, Elisabeth Krause, Vikram Ravi, Robert Reischke, Pranjal R. S., Liam Connor

“…We find that the log-normal parameterization provides an improved description of the p (DM∣ z ) distribution observed in hydrodynamical simulations as compared to the standard F -parameterization. …”
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Wildfire Smoke Demonstrates Significant and Predictable Black Carbon Light Absorption Enhancements by James E. Lee, Kyle Gorkowski, Aaron G. Meyer, Katherine B. Benedict, Allison C. Aiken, Manvendra K. Dubey

“…Although particle‐by‐particle tracking is computationally prohibitive for sophisticated ESMs we show that realistic BC absorption is reliably estimated by bulk properties of the plume providing a suitable parameterization to constrain black carbon radiative forcing.…”
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Optimal Dynamics Control in Trajectory Tracking of Industrial Robots Based on Adaptive Gaussian Pseudo-Spectral Algorithm by Jing Zhang, Xiaokai Zhu, Te Chen, Guowei Dou

“…On the basis of deriving the Legendre–Gauss collocation formula, a two-stage adaptive Gauss collocation strategy for industrial robot dynamics control variables was designed to improve the dynamics optimization control effect of industrial robot by improving the solution efficiency of constrained optimization problems. The results show that compared with the control variable parameterization method and the traditional Gaussian pseudo-spectral method, the proposed dynamic optimal control method based on an adaptive Gaussian point reconstruction algorithm can effectively improve the solving time and efficiency of constrained optimization problems, thereby further enhancing the dynamic optimization control and trajectory tracking effect of industrial robots.…”
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Learning the Ageing Behaviour of Lithium-Ion Batteries Using Electric Vehicle Fleet Analysis by Thomas Lehmann, Erik Berendes, Richard Kratzing, Gautam Sethia

“…This approach is not only applied to laboratory measurements but also validated by a series of capacity checkup tests performed with a fleet of electric vehicles. Results show the improved state-of-health (SOH) prediction of the proposed model parameterization method.…”
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Improving Climate Bias and Variability via CNN‐Based State‐Dependent Model‐Error Corrections by William E. Chapman, Judith Berner

“…Our results show significant root mean squared error improvements across all state variables, with land precipitation biases reduced by 25%–35%, seasonally dependent. …”
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Novel Gain-Optimized Two-Step Fusion Filtering Method for Ranging-Based Localization Using Predicted Residuals by Bo Chang, Xinrong Zhang, Na Sun, Hao Ni

“…Firstly, based on parameterization methods, a pseudo linear equation is constructed from the time of arrival (TOA) and multipath delay. …”
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Application of Nontraditional Optimization Techniques for Airfoil Shape Optimization by R. Mukesh, K. Lingadurai, U. Selvakumar

“…It is also found that the SA shows more exploitation characteristics as compared to the GA which is considered to be more effective explorer.…”
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