Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…The results show a reduction in Absolute Trajectory Error from 0.62 meters to 0.25 meters, and a decrease in Root Mean Square Error from 0.85 meters to 0.39 meters. …”
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Age estimation using dental radiography in the Brazilian population: a systematic review and meta-analysis by Allan Abuabara, Livia Azeredo Alves Antunes, Leonardo Santos Antunes, Kaliane Rodrigues da Cruz, Thais Vilalba Paniagua Machado do Nascimento, Paulo Henrique Condeixa França, Erika Calvano Küchler, Cristiano Miranda de Araujo, Flares Baratto-Filho

“…For males, the mean error ranged from 0.2 to 1.75 years. For females, the mean error ranged from 0.01 to 1.27 years. …”
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Parameter identification of unmanned surface vehicle MMG model based on an improved extended Kalman filter by Pengbo SUN, Zaopeng DONG, Wei LIU, Jinliang SHENG, Zhihao LI

“…Specifically, the root mean squared error index is reduced by up to 20.02% at the highest, and the symmetric mean absolute percentage error index is reduced by 26.84% at the highest. …”
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Assessing Stereo Camera Applicability for Digital Monitoring of Cattle Exterior by S. S. Yurochka, D. Yu. Pavkin, A. R. Khakimov, P. S. Berdyugin, S. O. Bazaev

“…(Conclusions) The study confirmed that the number of stereo pairs does not impact accuracy, and the observed error represents the accuracy limit for these stereo pairs in stereo vision applications.…”
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Intraoral stereoradiography visualization with virtual reality: peri-implant bone level estimation accuracy – An in vitro study by Jorge Ferreira da Costa, João Caramês, Daniel Hachmeister

“…Observers reported viewing discomfort at angles above 6º. Conclusions: Stereoradiography significantly reduced the error in bone height estimation, with any stereoscopic angle, compared to 2D. …”
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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

“…Descriptive statistics, error rates, and correlation analyses were performed using R software (version 4.1.2). …”
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Influence of Structural Parameters of Shape Memory Alloy Corrugated Gaskets on the Contact Pressure of Bolted Flange Joints by Liang He, Xiaofeng Lu, Xiaolei Zhu, Qing Chen

“…Through comparison with the experimental results, the maximum error of the maximum compression load was 5.78%, the maximum error of the rebound rate was 8.85%, and the maximum error of the maximum compaction force in the heat recovery stage was 12.2%, all of which were within the <15% acceptable error range of engineering fields. …”
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Implementing EUCAST rapid antimicrobial susceptibility testing method for sepsis: lessons learned in a tertiary care center by Mohammad Aadam Bin Najeeb, Ayush Gupta, Shashank Purwar, Vishnu Teja Nallapati, Jogender Yadav, Farha Siddiqui

“…Results categorized as “Area of Technical Uncertainty” were significantly lower at 8-hour {10.2% (39/384) vs 5.2% (28/534), 4- vs 8-hour, p = 0.003, Fischer’s exact test}. Conclusions: Except for a slightly higher Very major error rate, rapid antimicrobial susceptibility testing at 8-hour is equivalent to Disk-diffusion method (CLSI-M100) using CLSI-M52 criteria for equivalence: (Categorical agreement ≥ 90%, Very major error ≤ 1.5% and Major error ≤ 3%). …”
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IDENTIFICATION OF REAR MODEL OF TV3-117 AIRCRAFT ENGINE BASED ON THE BASIS OF NEURO-MULTI-FUNCTIONAL TECHNOLOGIES by Serhii Vladov, Yurii Shmelov, Ivan Derevyanko, Inna Dieriabina, Liudmyla Chyzhova

“…In the process of solving the task of identifying the mathematical model of the aircraft engine TV3-117 on the basis of neural networks, it was established that neural networks solve the problem of identification more precisely classical methods. Conclusions: It was established that the error of identification of the aircraft engine TV3-117 with the help of a neural network of type perceptron did not exceed 1.8 %; For the neural network of radial-basic function (RBF) – 4.6 %, whereas for the classical method (LSM) it makes about 5.7 % in the considered range of changes in engine operation modes. …”
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Accuracy of IOL power calculation in pediatric aphakia secondary implantation by Ying-Shi Zou, Jia-Xin Jin, Yun-Qian Li, Ling Jin, Jing-Min Xu, Wei-Ning Zhu, Hui Chen, Qiu-Xia Yin, Yi-Zhi Liu, Zhen-Zhen Liu

“…Mean prediction error (ME), mean absolute error (MAE), median absolute error (MedAE) and the percentage of eyes within ±0.25, ±0.50, ±0.75, and ±1.00 D were calculated. …”
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Brief Communication: Factors associated with willingness to use long-acting injectable Cabotegravir for HIV pre-exposure prophylaxis (PrEP) among female undergraduate students at a... by Bridget Atuhaire, Laban Muteebwa, Racheal Nabunya, Richard Muhindo, Tom Denis Ngabirano, Charles Peter Osingada, Patience A. Muwanguzi

“…Factors influencing their willingness were analysed with modified Poisson regression and robust standard errors. Results More than half, 56.7% (95% CI: 51.4 to 61.8), were willing to use CAB-LA. …”
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Predictors of poor outcome in treatment of patients with pyoinflammatory otogenic and rinosinusogenic intracranial complications by A. A. Krivopalov, Yu. K. Janov, A. Yu. Shcherbuk, Yu. A. Shcherbuk, A. N. Rubin, S. A. Artyushkin, Z. N. Shardanov

“…These factors and errors caused an extension of preoperative period and increase of unfavorable outcome. …”
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Calibration of a Chromatic Confocal Microscope for Measuring a Colored Specimen by Qing Yu, Kun Zhang, Ruilan Zhou, Changcai Cui, Fang Cheng, Shiwei Fu, Ruifang Ye

“…In this study, this conclusion was verified through both simulation and experiments. …”
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ENCEPHALOPATHY AND HYPERLACTATEMIA AS A COMPLICATION OF 5-FLUOROURACIL TREATMENT by I. A. Kurmukov, G. S. Yunayev, A. A. Prosvirnov, N. B. Borovkova, Sh. R. Kashiya

“…We hope our description will be useful to prevent possible diagnostic errors.…”
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The prototype of the system for the formation of an individual learning path by T. G. Aslanov, M. Sh. Abidova, M. M. Maksudov, H. Yu. Tagirov, M. M. Magomedov

“…The training of the artificial neural network showed an insignificant error in the assessment on a ten-point scale, which, when converted to a five-point system, was about 0.5 points.Conclusion. …”
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A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…The CornerNet algorithm reduces errors by 0.34 pixels, with an inference time of 23 milliseconds. …”
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Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support by Mahmud Omar, Vera Sorin, Jeremy D. Collins, David Reich, Robert Freeman, Nicholas Gavin, Alexander Charney, Lisa Stump, Nicola Luigi Bragazzi, Girish N. Nadkarni, Eyal Klang

“…Abstract Background Large language models (LLMs) show promise in clinical contexts but can generate false facts (often referred to as “hallucinations”). One subset of these errors arises from adversarial attacks, in which fabricated details embedded in prompts lead the model to produce or elaborate on the false information. …”
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Feasibility of cognitive testing and ecological momentary assessments using smartphones in middle aged and older adults with insomnia by Sara Ghadimi, Jason Ereso, Alexander J. Kaula, Nick Taptiklis, Francesca Cormack, Cathy Alessi, Jennifer L. Martin, Joseph M. Dzierzewski, Arash Naeim, Sarah Kremen, Tue Te, Constance H. Fung

“…Mean cognitive test scores were DGS-Forward = 7 (SD 1.3), DGS-Backward = 5.6 (SD 1.0), VPA total errors = 9.9 (SD 3.7), and VPA-DR = 2.2 (SD 1.9). …”
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Toward Interoperable Digital Medication Records on Fast Healthcare Interoperability Resources: Development and Technical Validation of a Minimal Core Dataset by Eduardo Salgado-Baez, Raphael Heidepriem, Renate Delucchi Danhier, Eugenia Rinaldi, Vishnu Ravi, Akira-Sebastian Poncette, Iris Dahlhaus, Daniel Fürstenau, Felix Balzer, Sylvia Thun, Julian Sass

“… BackgroundMedication errors represent a widespread, hazardous, and costly challenge in health care settings. …”
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The Contribution to Understanding the Study of Psycholinguistics in Facilitating Balaghah Learning by Sokip Sokip, Ahmad Nurcholis, Kojin Kojin, Muhammad Zaenal Faizin, Abu Hanifa

“…Data analysis techniques included data reduction, data display and conclusion drawing/verification. This article showed that the important role of psycholinguistics in balaghah learning was to examine the background of the problem from errors in understanding the meaning of language and the steps for handling it (problem solving). …”
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