Design and Application of State Estimation Research Mode by Long PENG, Jian NING, Yi WANG, Juanjuan LU, Yong ZHANG, Yuchun LUO

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Student Errors Analysis on the Subject of Class VII Algebraic Form Based on Nolting's Theory by Laily Azizah, Miftahul Khoiri

“…Berdasarkan hasil penelitian diketahui bahwa persentase jenis kesalahan yang dialami siswa adalah 50% mengalami misread direction errors, 20% mengalami careless errors, 10% mengalami concept errors, 25% mengalami application errors, 32,5% test taking errors, dan 7,5% mengalami study errors. …”
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Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity by Xinyao Xie, Ainong Li

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Empirical Likelihood for Partially Linear Single-Index Models under Negatively Associated Errors by Xin Qi, ZhuoXi Yu

“…In this paper, the authors consider the application of the blockwise empirical likelihood method to the partially linear single-index model when the errors are negatively associated, which often exist in sequentially collected economic data. …”
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Improvement of the physically-based groundwater model simulations through complementary correction of its errors by Jorge Mauricio Reyes Alcalde

“…The application of CCM to PBM shows a decrease in local biases, better distribution of errors and reductions in its temporal and spatial correlations, with 73% of reduction in global RMSN over an original PBM. …”
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Evaluation of Deflection Errors in Traffic Speed Deflectometer Measurements on Inverted Asphalt Pavement Structures by Kai Wang, Jiaojiao Wei, Xiaoqiang Hou, Chaoyang Wu

“…It is aimed at evaluating the deflection slope and quantifying measurement errors. First, the reliability of the ABAQUS model in simulating the dynamic response of asphalt pavements was validated by comparing with previous studies. …”
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ResearchProgressonThermalErrorCompensationandStructuralOptimizationofHigh-SpeedMotorizedSpindle by LI Zhao long, ZHU Wen ming

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Causal analysis and impact of a systematic error detected about consumption associated with trastuzumab by Nuria Bujaldón Querejeta, Dolores Camacho Romera, José Antonio Pomares Pastor, María Sánchez Garnes, Mauricio Martínez Ramírez, Mercedes González Delgado

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Efficient module learning with errors‐based post‐quantum password‐authenticated key exchange by Peixin Ren, Xiaozhuo Gu, Ziliang Wang

“…Subsequently, the authors accompany the proposed protocol with a rigorous security proof in the random oracle model with two adaptions: applying the CDF‐Zipf model to characterise the ability of the adversary and using the pairing with errors assumption to simplify the proof. Taking the flexibility of the module learning with errors (MLWE) problem, the authors elaborately select three parameter sets to meet different application scenarios. …”
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Plasticity-based design and static performance of UT-type joint for construction error adaptation by Sun Menghan, He Luyao, Jiang Xin, Yang Zailin, Yang Miaomiao

“…The problem of construction error is effectively solved using a unique structural design, and the plastic energy dissipation section is introduced based on the concept of plastic controllability. …”
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Analysis and Prediction of Thermally Induced Positioning Error in Hydrostatic Lead-Screw Feed Systems by Jun Zha, Xiaofei Peng, Zhiyan Cai, Fei Xue

“…Hydrostatic lead screw is a key transmission component of ultra-precision machine tools, yet the induced thermal errors present a major hurdle to maintaining positioning accuracy. …”
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La estrategia de emplear el error como herramienta para el aprendizaje by Aureliano Mendoza-Ramírez, Sonia Maritza Mendoza-Lizcano, Alejandra María Serpa-Jiménez

“…The objective of this strategy is to use error as a tool for learning for fifth grade students. …”
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Reversible data hiding algorithm in encrypted images based on prediction error and bitplane coding by Haiyong WANG, Mengning JI

“…With the increasing use of cloud backup methods for storing important files, the demand for privacy protection has also grown.Reversible data hiding in encrypted images (RDHEI) is an important technology in the field of information security that allows embedding secret information in encrypted images while ensuring error-free extraction of the secret information and lossless recovery of the original plaintext image.This technology not only enhances image security but also enables efficient transmission of sensitive information over networks.Its application in cloud environments for user privacy protection has attracted significant attention from researchers.A reversible data hiding method in encrypted images based on prediction error and bitplane coding was proposed to improve the embedding rate of existing RDHEI algorithms.Different encoding methods were employed by the algorithm depending on the distribution of the bitplanes, resulting in the creation of additional space in the image.The image was rearranged to allocate the freed-up space to the lower-order planes.Following this, a random matrix was generated using a key to encrypt the image, ensuring image security.Finally, the information was embedded into the reserved space.The information can be extracted and the image recovered by the receiver using different keys.The proposed algorithm achieves a higher embedding rate compared to five state-of-the-art RDHEI algorithms.The average embedding rates on BOWS-2, BOSSBase, and UCID datasets are 3.769 bit/pixel, 3.874 bit/pixel, and 3.148 bit/pixel respectively, which represent an improvement of 12.5%, 6.9% and 8.6% compared to the best-performing algorithms in the same category.Experimental results demonstrate that the proposed algorithm effectively utilizes the redundancy of images and significantly improves the embedding rate.…”
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Model error propagation in a compatible tree volume, biomass, and carbon prediction system by James A. Westfall, Philip J. Radtke, David M. Walker, John W. Coulston

“…However, the propagation of model error can be a concern as this compatibility often relies on predictions for one attribute providing the basis for other attributes. …”
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An improved NLOS error mitigation algorithm for 5G positioning in complex urban environments by Song Bao, Wang Bo, Song Kunlin, Quan Shichen, Cui Fang, Deng Zhihong, Fu Mengyin

“…However, a main challenge is the Non-Line-Of-Sight (NLOS) error significantly impact positioning accuracy, limiting the full deployment and application of 5G technology. …”
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Psychometric evaluation of the exercise-related cognitive errors questionnaire among Chinese emerging adults by Mengyao Guo, Jin Kuang, Ting Wang, Fabian Herold, Alyx Taylor, Jonathan Leo Ng, Jonathan Leo Ng, M. Mahbub Hossain, M. Mahbub Hossain, Arthur F. Kramer, Arthur F. Kramer, Robert Schinke, Zhihui Cheng, Liye Zou

“…When such a phenomenon occurs in the exercise domain, this is referred to as exercise-related cognitive error. Such exercise-related cognitive errors are typically assessed via a questionnaire, but a validated instrument for the application in Chinese-speaking populations is lacking. …”
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MACAW: a method for semi-automatic detection of errors in genome-scale metabolic models by Devlin C. Moyer, Justin Reimertz, Daniel Segrè, Juan I. Fuxman Bass

“…Erroneous or missing reactions, scattered throughout densely interconnected networks, are a limiting factor in these applications. We present Metabolic Accuracy Check and Analysis Workflow (MACAW), a suite of algorithms that helps to identify and visualize errors at the level of connected pathways, rather than individual reactions. …”
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Assessment of Seasonal Variations in GNSS Errors over UAE - Abu Dhabi Case Study by A. Alnaqbi, M. M. Yagoub, A. Hasbi

“…However, the accuracy requirements vary from user to user based on their needs and applications. The accuracy of GNSS depends on numerous factors and is impacted by different error sources, such as tropospheric delay and ionospheric error, from the moment the signal leaves the GNSS satellite until it reaches the receiver antenna of the end user. …”
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Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition by Konstantinos Vantas, Vasiliki Mirkopoulou

“…This study investigates the use of unsupervised clustering algorithms to identify and characterize systematic spatial error patterns in cadastral maps. We compare Fuzzy c-means (FCM), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), and Gaussian Mixture Models (GMMs) in clustering error vectors using two different case studies from Greece, each with different error origins. …”
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Error analysis of Crank–Nicolson-FEM for Fitzhugh–Nagumo system with Robin boundary conditions by S. Dawe, M.S. Daoussa Haggar, L.M. Kemfouet Tsopze, M. Mbehou

“…The well-posedness and error estimates for both the temporal and fully discretization errors are established. …”
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