A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Thirdly, the real-time status of the production data of ESP was monitored with reconstruction errors to detect the point when an abnormality occurs signifying a pending fault. …”
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Importance of Eddy Viscosity and Advection in Hydrodynamical Models for Simulating Flash Floods on Steep Sloped Watersheds by Gergely Amon, Katalin Bene

“…By keeping geometry, mesh, and rainfall inputs consistent, the study compared solver performance, identifying potential errors that arise under different conditions. Nonlinear advection, rather than gravity and roughness, was found to govern flow around obstructions. …”
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Large language model agents can use tools to perform clinical calculations by Alex J. Goodell, Simon N. Chu, Dara Rouholiman, Larry F. Chu

“…Abstract Large language models (LLMs) can answer expert-level questions in medicine but are prone to hallucinations and arithmetic errors. Early evidence suggests LLMs cannot reliably perform clinical calculations, limiting their potential integration into clinical workflows. …”
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A 24-Year-Old Female Transplant Recipient with Type 2 Membranoproliferative Glomerulonephritis and Disseminated Shingles: A Cautionary Tale of Deferring to Primary Care by Benjamin T. Burdorf

“…Although convenient to defer to primary care, if specialists were to take on the responsibility of providing a broader scope of care for their unique subsets of patients, it would likely result in a reduction in the 80% of serious medical errors that occur as a result of miscommunication, or lack thereof, between care providers.…”
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Prototype System for Supporting Medical Diagnosis Based on Voice Interviewing by Artur Samojluk, Piotr Artiemjew

“…The system is designed to optimise patient care by automating the initial phase of the medical interview, which can lead to a reduction in errors due to subjective assessments and reduce the workload on doctors. …”
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Evaluation of the Tran Medic Application Online in Outpatient Patient Registrtion at Royal Prima General Hospital Medan by Weldy Stephan, Ermi Girsang, Widya Yanti Sihotang

“…The results showed that the obstacles faced in using the application were network disruptions and application errors that caused inability to access by patients and officers. …”
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State and Trends of Harmonization of Automobile Tire Parameters, Their Implementation in the Union State by Boris V. Kisulenko

“…The uncertainties and possible systematic and accidental errors that occur during tire testing are analyzed, which may affect the results of supervision in the market of tire products released on the basis of primary certification. …”
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Neural plasticity in early potters: Shape analysis and TMS-EEG co-registration trace the rise of a new motor skill. by Vanessa Forte, Luisa Sartori, Antonino Visalli, Mustafa Yildirim, Gaspare Galati, Massimo Vidale, Emanuela Faresin, Antonino Vallesi

“…We also observed an improvement in symmetry and consistency of the artefacts and a significant reduction in errors. This multidisciplinary approach sheds light on the mechanisms of material culture's variation in the archaeological field and provides promising insights into the co-evolution of technology and human skill.…”
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The future of patient safety in Ghana: challenges and opportunities by Augustine Kumah

“…Patient safety is a critical aspect of healthcare that ensures the reduction of preventable harm to patients during the provision of care. …”
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Consistent declining trends in stroke mortality in Brazil: mission accomplished? by Valéria M. A. Passos, Lenice H. Ishitani, Glaura C. Franco, Gustavo C. Lana, Daisy M. X. Abreu, Maria de Fatima Marinho, Elisabeth B. França

“…A linear regression model with autoregressive errors and a state space model were fitted to the data, aiming the estimation of annual trends at every point in time. …”
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Data-driven tube model predictive control of autonomous agricultural tractors for cross-slope navigation by Dongxu Wang, Hongliang Yuan

“…Experimental results demonstrate a notable reduction in lateral tracking errors using the LSTM-augmented TMPC, enhancing the navigation accuracy and stability of tractors on cross-slope terrain. …”
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The dependence of shugoshin on Bub1-kinase activity is dispensable for the maintenance of spindle assembly checkpoint response in Cryptococcus neoformans. by Satya Dev Polisetty, Krishna Bhat, Kuladeep Das, Ivan Clark, Kevin G Hardwick, Kaustuv Sanyal

“…During chromosome segregation, the spindle assembly checkpoint (SAC) detects errors in kinetochore-microtubule attachments. Timely activation and maintenance of the SAC until defects are corrected is essential for genome stability. …”
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Clinical and Operational Applications of Artificial Intelligence and Machine Learning in Pharmacy: A Narrative Review of Real-World Applications by Maree Donna Simpson, Haider Saddam Qasim

“…According to reports, hospital implementations have reduced prescription distribution errors by up to 75% and enhanced the detection of adverse medication reactions by up to 65%. …”
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A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data by Yichao Li, Hang Zhao, Kun Li, Jian Zeng, Qiongqiong Lan, Qijin Han, You Wu, Yonggang Qian

“…Cross-validation with moderate-resolution imaging spectroradiometer (MODIS) LST products showed that the hybrid algorithm outperforms the SW and TES algorithms in retrieving LST, achieving reductions in LST error of 0.43 and 0.16 K at the Qinghai Lake site, and 0.67 and 0.06 K at the Dunhuang site, respectively. …”
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Deep-Transfer-Learning Strategies for Crop Yield Prediction Using Climate Records and Satellite Image Time-Series Data by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Renuganth Varatharajoo, Shilpa Gite, Abdullah Alamri

“…The proposed transfer-learning approaches outperformed the baseline deep-learning model, with mean absolute error reductions ranging from 9% to 28%, demonstrating the effectiveness of these methods. …”
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Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning by Qingfeng Ruan, Delu Pan, Difeng Wang, Xianqiang He, Fang Gong, Qingjiu Tian

“…The results indicate that compared with the RSTFE model, the ChlaPM model achieves substantial reductions in the root mean square error (RMSE) of 53.84%, 53.58%, and 49.70% for predicting Chl-a concentrations 1 month, 3 months, and 6 months into the future, respectively. …”
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Study of Thermodynamic Horizontal Structure of the Middle and Upper Atmosphere Based on Atmospheric Detection Lidar Networks by Liting Ren, Yong Yang, Linmei Liu, Xin Lin, Jinzhou Zheng, Wei Wang, Jiaming Liang, Yuan Xia, Jiqin Wang, Kaijie Ji, Zhenwei Chen, Yuqi Zhang, Xuewu Cheng, Faquan Li

“…The assimilated temperature profiles closely match lidar observations, with the RMSE (root mean square error) of residual reductions of 67.35% at Urumqi, 60.69% at Yuzhong, and 34.80% at Yangbajing. …”
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The role of precision tool positioning in enhancing machining accuracy by Tuyboyov Oybek, Baydullayev Azamat, Jeltuxin Andrey, Muxiddinov Zayniddin

“…Utilizing tools such as laser interferometers, autocollimators, and predictive thermal simulations, the research addresses critical challenges in tool positioning accuracy caused by thermal fluctuations and geometric errors. Compensation strategies reduced thermal errors by 15%, while kinematic calibration mitigated angular discrepancies by 10%. …”
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Monitoring 5G Backhaul: An In-Band Telemetry Approach for Quality of Service by Eurico Dias, Duarte Raposo, Miguel Luis, Pedro Rito, Susana Sargento

“…The results demonstrate that this approach exhibits minimal measurement errors when assessing the throughput, latency, and Packet Error Rate (PER) of mmWave links. …”
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Anti-inflammatory effect of chamomile from randomized clinical trials: a systematic review and meta-analyses by Jason Valmy, Stephanie Greenfield, Satoru Shindo, Toshihisa Kawai, Jorge Cervantes, Bo-Young Hong

“…The mean difference, confidence intervals, and standard error from the extracted means and standard deviations for relevant outcomes were calculated. …”
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