An exploration of whether the extent and orientation of the discrepancy in perceived and actual mathematical efficacy affects mathematical anxiety by Wang Xi li, Wang Xi li, Li Xue Liu, Mu Xia

“…A questionnaire survey was used to study the effect of the discrepancy between perceived and actual mathematical efficacy (discrepancy in mathematical efficacy) on mathematics anxiety, and the moderating effect of bias in mathematical efficacy estimation. A total of 582 grade 1 students in seniors high school in Nanning with an average age of 16 and 489 grade 2 students in seniors high school with an average age of 17 were selected. …”
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SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM by Pereira, Paulo Elias Carneiro, de Rezende, Stanley Washington Ferreira, Moura Júnior, José dos Reis Vieira de, Finzi Neto, Roberto Mendes

“…Damage location estimation is a critical aspect of condition-based maintenance systems, particularly in the context of electromechanical impedance monitoring. …”
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High-Accuracy and Low-Cost Attitude Measurement Unit of the CubeSat by Haining Ma, Zhengliang Lu, Xiang Zhang, Wenhe Liao, Klaus Briess

“…The Multiplicative Extended Kalman Filter (MEKF) is used to estimate the attitude of CubeSat, and four kinds of attitude estimation layouts are put forward according to the idea of weighted average of two quaternions from two STR and different architectures of information fusion. …”
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New Polarization Basis for Polarimetric Phased Array Weather Radar: Theory and Polarimetric Variables Measurement by Jian Dong, Qingfu Liu, Xuesong Wang

“…In addition, the estimates of these parameters based on the time series data acquired with the new polarization basis are also investigated. …”
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The EDI Multi-Modal Simultaneous Localization and Mapping Dataset (EDI-SLAM) by Peteris Racinskis, Gustavs Krasnikovs, Janis Arents, Modris Greitans

“…This enables the meaningful evaluation of systems that directly utilize data from the positioning module into their localization estimates, and serves as an alternative when the GNSS reference is disrupted by intermittent signals or multipath scattering. …”
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Migration Simulation of Radioactive Soil Particles in the Atmospheric Environment Using CFD-DEM Coupled with Empirical Formulas by Liwei Chen, Chunhua Chen, Qingchun Fan, Zihui Yang, Zihao Zheng, Jianye Wang

“…The source term of the radioactive particles is estimated by an empirical model as the input of the CFD-DEM. …”
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Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction by Alex Akwasi Opoku, Godwin Osabutey, Charles Kwofie

“…The methods of partial least squares and the ordinary least squares are, respectively, used to estimate the parameters of the interacting and the noninteracting models. …”
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The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis by Omer F. Akmese, Gul Dogan, Hakan Kor, Hasan Erbay, Emre Demir

“…The study aims to develop an easy, fast, and accurate estimation method for early acute appendicitis diagnosis using machine learning algorithms. …”
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A Robust Control Method for Lateral Stability Control of In-Wheel Motored Electric Vehicle Based on Sideslip Angle Observer by Yaxiong Wang, Feng Kang, Taipeng Wang, Hongbin Ren

“…And the sideslip angle is estimated by using the dynamics-based approaches. Moreover, based on the estimated vehicle state information, an upper level control system by using robust control theory is proposed to specify a desired yaw moment and correction front steering angle to work on the electric vehicles. …”
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Terminal Guidance Law for UAV Based on Receding Horizon Control Strategy by Zhenglong Wu, Zhenyu Guan, Chengwei Yang, Jie Li

“…Most of the literatures focus on estimating the acceleration of target and time to go in guidance law, which are difficult to acquire. …”
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Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method by Zhe Sun, Xunshi Yan, Jingjing Zhao, Xiao Kang, Guojun Yang, Zhengang Shi

“…In addition, the estimation precision is significantly improved compared with the method without learning. …”
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Plant traits, growth stage, and ash mass load control the vulnerability of potato, corn, and wheat crops to volcanic ashfall by Noa Ligot, Lauriane Barthélemi, Hugues Falys, Bruno Godin, Patrick Bogaert, Pierre Delmelle

“…These results were used to develop new vulnerability functions for estimating yield loss in potatoes, corn, and wheat following exposure to an ashfall event.…”
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multistrap: boosting phylogenetic analyses with structural information by Athanasios Baltzis, Luisa Santus, Björn E. Langer, Cedrik Magis, Damien M. de Vienne, Olivier Gascuel, Leila Mansouri, Cedric Notredame

“…Abstract In a phylogeny, trustworthy reliability branch support estimates are as important as the tree itself. We show that reliability support values based on bootstrapping can be improved by combining sequence and structural information from proteins. …”
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The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia by M. Nagy, Ehab M. Almetwally, Ahmed M. Gemeay, Heba S. Mohammed, Taghreed M. Jawa, Neveen Sayed-Ahmed, Abdisalam Hassan Muse

“…The maximum likelihood estimation (MLE) method is applied to estimate the unknown parameters of the DEOWE distribution. …”
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Manufacturing Reliability Assessment of Fine Ag Alloy Wire During Wire Loop Formation Process by Deshin Liu, Tingsheng Chang, Zhenwei Zhuang, Yungching Chao, Sungting Chung, Peichen Huang

“…Aforementioned constitutive model is imported into transient dynamic simulation to estimate the characteristics on wire loop formation profile and wire stress distribution. …”
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Effective Lock Detectors Based on Costas Loop Output for SBPSK Mobile Communications by D. Ferramola, T. Casilli, S. Pradella, G. Giunta, D. Orlando

“…., 2021), whereas the second architecture is grounded on the likelihood ratio test where in place of the unknown parameters suitable estimates are used. Such estimates are obtained through an iterative strategy relying on the Expectation Maximization algorithm. …”
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A Multimode Adaptive Pushover Procedure for Seismic Assessment of Integral Bridges by Ehsan Mohtashami, Ahmad Shooshtari

“…This paper presents a new adaptive pushover procedure to account for the effect of higher modes in order to accurately estimate the seismic response of bridges. The effect of higher modes is considered by introducing a minimum value for the total effective modal mass. …”
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GRAiCE: reconstructing terrestrial water storage anomalies with recurrent neural networks by Irene Palazzoli, Serena Ceola, Pierre Gentine

“…Abstract The Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) missions have provided estimates of Terrestrial Water Storage Anomalies (TWSA) since 2002, enabling the monitoring of global hydrological changes. …”
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Hysteresis Modeling of Magnetic Shape Memory Alloy Actuator Based on Krasnosel'skii-Pokrovskii Model by Miaolei Zhou, Shoubin Wang, Wei Gao

“…To identify the weighting parameters of the KP operators, an improved gradient correction algorithm and a variable step-size recursive least square estimation algorithm are proposed in this paper. In order to demonstrate the validity of the proposed modeling approach, simulation experiments are performed, simulations with improved gradient correction algorithm and variable step-size recursive least square estimation algorithm are studied, respectively. …”
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Generalized Scaling of Urban Heat Island Effect and Its Applications for Energy Consumption and Renewable Energy by T.-W. Lee, Heung S. Choi, Jinoh Lee

“…This scaling can be used to estimate the UHI intensity in any cities and therefore predict the required energy consumption during summer months. …”
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