Teachers' judgment accuracy: A replication check by psychometric meta-analysis. by Esther Kaufmann

“…Due to its importance, several meta-analyses have estimated how accurately teachers judge students' academic achievements by measuring teachers' judgment accuracy (i.e., the correlation between teachers' judgments of students' academic abilities and students' scores on achievement tests). …”
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Classification Scheme for Random Longitudinal Road Unevenness Considering Road Waviness and Vehicle Response by Oldřich Kropáč, Peter Múčka

“…For the road classification proposal two planar vehicle models (passenger car and truck), ten responses (reflecting ride comfort, dynamic load of road and cargo, ride safety) and three different vehicle velocities have been considered. The minimum of ten estimated vibration response ranges sum for a broad waviness interval typical for real road sections (w = 1.5 to 3.5) has been used for the correction factor estimation. …”
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In the Search of Fundamental Inner Bond Strength of Solid Elements by Maziar Sahba Yaghmaee, Reza Riahifar

“…Then an algorithm for estimating the nature of bond type including the materials properties and lattice scale “cutoff” has been proposed. …”
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Improving ocean reanalyses of observationally sparse regions with transfer learning by Simon Lentz, Sebastian Brune, Christopher Kadow, Johanna Baehr

“…Abstract Oceanic subsurface observations are sparse and lead to large uncertainties in any model-based estimate. We investigate the applicability of transfer learning based neural networks to reconstruct North Atlantic temperatures in times with sparse observations. …”
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Pseudoexhaustive memory testing based on March A type march tests by V. N. Yarmolik, I. Mrozek, S. V. Yarmolik

“…The validity of analytical estimates is experimentally shown and the high efficiency of the formation of a pseudo-exhaustive coverage by tests of the March A type is confirmed.…”
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Assessing the Impact of Land Degradation on Agricultural Output Using a Stochastic Frontier Production Function by Антон Сергеевич Строков

“…This method not only estimates the parameters of a classic production function but also accounts for errors in the model by evaluating parameters related to risk and technical inefficiency. …”
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Wind Identification of Spinning Projectile Using Improved Multiobjective Differential Evolution Algorithm by Dingye Zhang, Jun Guan, Wenjun Yi, Youran Xia, Kangjian Wang

“…The results show that the suggested method can estimate wind velocity effectively and precisely throughout the flight of spinning projectile.…”
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Application of Artificial Neural Network for Damage Detection in Planetary Gearbox of Wind Turbine by Marcin Strączkiewicz, Tomasz Barszcz

“…Furthermore, for machinery working in highly changing operational conditions, like wind turbines, those estimators are strongly fluctuating, and this fluctuation is not linearly correlated to operation parameters. …”
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Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement by Novlene Zoghlami, Zied Lachiri

“…The importance of an accurate noise estimate is related to the reduction of the musical noise artifacts in the processed speech that appears after classic subtractive process. …”
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Productive capacity and genetic variation behavior in progenies from irrigated açai according to plant age by João Tomé de Farias Neto, Gilberto Ken Iti Yokomizo, Marcos Deon Vilela de Resende

“…Therefore, the objective of this work was to infer the best age for selection by estimating genetic and phenotypic parameters in the different stages of evaluating progenies of half-sibs of acai. …”
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Machine Learning-Based Multiagent Control for a Bunch of Flexible Robots by Jun Wang, Jiali Zhang, Jafar Tavoosi, Mohammadamin Shirkhani

“…In the second method, the type-2 fuzzy system is directly used to estimate the control signal coefficients which do not employ LMI. …”
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Evaluation of the genome in bird breeding by A. F. Yakovlev, N. V. Dement’eva

“…The developed molecular marker system provides a unique opportunity to significantly improve the accuracy of estimated breeding values to manage genetic variability, to reduce the interval between generations, and accelerate genetic progress. …”
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Second order sliding mode control with proportional integral observer for wing rock by Ahmad Mahmood, Jamshed Iqbal

“…In this study, a reduced-order fast proportional integral (PI) observer with a fast convergence function based on the equivalent control notion is developed to estimate the side slip angle β. An unknown state can be discovered by forcing the PI term on the state error, which is the difference between the real and estimated states. …”
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Inferring causal connectivity from pairwise recordings and optogenetics. by Mikkel Elle Lepperød, Tristan Stöber, Torkel Hafting, Marianne Fyhn, Konrad Paul Kording

“…Combined, these methods can estimate (causal) effective connectivity by exploiting the weak, approximately random signal resulting from the interaction between stimulation and the absolute refractory period of the neuron. …”
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A Global Thermospheric Density Prediction Framework Based on a Deep Evidential Method by Yiran Wang, Xiaoli Bai

“…It can also obtain reliable uncertainty estimations. Global density estimations at altitudes from 200 to 550 km are also presented and compared with empirical models on both quiet and storm conditions.…”
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An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation by Md. Rashedul Islam, Jong-Myon Kim

“…The previously estimated precious reference point, coordinate translation, and invalid data check also improve accuracy. …”
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The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study by Maria Pia Saccomani, Karl Thomaseth

“…We focus on the issue of parameter estimation in model-based oncological studies. Given their complexity, many of these models are unidentifiable having an infinite number of parameter solutions. …”
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Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator by Lei Wang, Tao Shen, Chen Chen

“…In this strategy, wind turbine with direct-drive permanent magnet synchronous generator is modeled and a backpropagation artificial neural network is designed to estimate the wind speed loaded into the turbine model in real time through the estimated turbine shaft speed and mechanical power. …”
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Investigation of hemostasis by thromboelastography in the patient with liver cirrhosis (Clinical case) by Ye. L. Bulanova, A. Yu. Bulanov, D. S. Gatsolayeva

“…Dynamic control of thromboelastography allowed to estimate efficacy of transfusion therapy and to plan ways of its correction.Conclusion. …”
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Probabilistic Dynamics for Integrated Analysis of Accident Sequences considering Uncertain Events by Robertas Alzbutas

“…The developed approach of accident modelling and analysis can be efficiently used to estimate the reliability of hybrid systems and at the same time to analyze and possibly decrease the uncertainty of this estimate.…”
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