Comparison of Repeatability and Agreement between Swept-Source Optical Biometry and Dual-Scheimpflug Topography by Soyeon Jung, Hee Seung Chin, Na Rae Kim, Kang Won Lee, Ji Won Jung

“…Conclusions. Two biometers showed high repeatability and relatively good agreements. …”
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Accurate human genome analysis with element avidity sequencing by Andrew Carroll, Alexey Kolesnikov, Daniel E. Cook, Lucas Brambrink, Kelly N. Wiseman, Sophie M. Billings, Semyon Kruglyak, Bryan R. Lajoie, Junhua Zhao, Shawn E. Levy, Cory Y. McLean, Kishwar Shafin, Maria Nattestad, Pi-Chuan Chang

“…Results We show that Element whole genome sequencing achieves higher mapping and variant calling accuracy compared to Illumina sequencing at the same coverage, with larger differences at lower coverages (20–30x). We quantify base error rates of Element reads, finding lower error rates, especially in homopolymer and tandem repeat regions. …”
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A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems by Cornelius Rüther, Julia Rieck

“…The mean value of the relative error is less than 0.9% and its standard deviation is less than 1.31% for every problem class. …”
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Acute effect of upper body vibration on shoulder joint internal and external active position sense in healthy female university students by Mariam Ameer, Ammar Al Abbad

“…Moreover, the statistically significant difference was detected in the average error scores of shoulders external rotation in post-treatment intervention between both groups (p= .000). …”
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Retinal Vasculature and Microstructure in Early Dry-Type Myopic Maculopathy by Jiao Sun, Jialin Wang, Yanling Wang

“…Patients with a refractive error of less than −6 diopters were enrolled and classified into two groups. …”
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Precision‐Optimised Post‐Stroke Prognoses by Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price

“…Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known. …”
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Model of an automated control system for the positioning of radio signal transmission/reception devices by Bohdan Boriak, Alina Yanko, Oleksandr Laktionov

“…This research aimed to develop a model of an automated control system for the positioning of radio signal transmission/reception antennas, including directional antennas with a radiation pattern angle of 60-90 degrees, ensuring the minimization of azimuth positioning error. The objective of this research is to develop automated antenna positioning systems using embedded systems. …”
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AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study by Daniel Stephan, Annika Bertsch, Matthias Burwinkel, Shankeeth Vinayahalingam, Bilal Al-Nawas, Peer W Kämmerer, Daniel GE Thiem

“…Despite this, the AI-generated reports were consistent in being error-free and matched the readability of student-generated reports. …”
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Assessing artificial intelligence ability in predicting hospitalization duration for pleural empyema patients managed with uniportal video-assisted thoracoscopic surgery: a retrosp... by Issa Alnajjar, Baraa Alshakarnah, Tasneem AbuShaikha, Tareq Jarrar, Abed Al-Raheem Ozrail, Yousef Abu Asbeh

“…The first one had a mean absolute error of 4.56 days and a negative R2 value. The literature-informed model performed similarly, with a mean absolute error of 4.53 days and an R2 below zero. …”
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On solving problems of operational forecasting of main pipeline weld joint quality by A. E. Filyakov, M. A. Sholokhov

“…However, in order to be able to predict the results of welding directly during the monitoring of the process, a simplified forecasting model is proposed whose key feature is the ability to perform calculations synchronously with the real process, which is implemented in a real-time mode with a given interval.Discussion and Conclusions. The major obstacle to the successful functioning of the operational forecasting module, apart from the length of the numerical solution of equations, is an estimation error. …”
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How to handle high subgenome sequence similarity in allopolyploid Fragaria x ananassa: linkage disequilibrium based variant filtering by Tim Koorevaar, Johan H. Willemsen, Dominic Hildebrand, Richard G.F. Visser, Paul Arens, Chris Maliepaard

“…This combined filtering strategy—using both LD-based and average allele balance methods—resulted in the lowest switch error rate (0.037). Notably, our best filtering approach decreased phasing switch error rates by 44% and preserved 72% of the original dataset. …”
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Improving the Accuracy of Aerial Photography Using Ground Control Points by R. K. Kurbanov, N. I. Zakharova, D. M. Gorshkov

“…The project error when using five control points is 3.9 times higher during the standard data processing. …”
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Comparison of microbroth dilution and e-test methods for detecting Fosfomycin susceptibility in pseudomonas aeruginosa by Gongqing Song, Xiuzhen Xu

“…The evaluation metrics included categorical agreement (CA), major error (ME; false-resistant), very major error (VME; false-susceptible), and Cohen’s kappa values. …”
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Does Xbox 360 Kinect Training Improve Postural Balance in Young Healthy Adults? A Preliminary Study by Marta Grabowicz, Anna Daniluk, Anna Hadamus, Dariusz Białoszewski

“…None of the groups demonstrated a statistically significantdecrease in the test error count.Conclusions: Virtual reality in the form of video games played on an Xbox 360 Kinect console may be an effective method of balance training in healthy individuals.…”
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New Insights into Meteorological and Hydrological Drought Modeling: A Comparative Analysis of Parametric and Non-Parametric Distributions by Ahmad Abu Arra, Eyüp Şişman

“…For SDI, it ranged between 0.09 and 0.143. The Mean Absolute Error (MAE) for SPEI was approximately 0.05 for all timescales. …”
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A comparison of relative survival and cause‐specific survival methods to measure net survival in cancer populations by Nupur Makkar, Quinn T. Ostrom, Carol Kruchko, Jill S. Barnholtz‐Sloan

“…Error when estimating CSS most frequently stems from misclassification of cause of death, whereas RS is subject to error when no suitable life tables are available. …”
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Ocular Biometry Distribution and One-Year Growth in Eight-Year-Old Southern European Schoolchildren Under the CISViT Project by Mariam El Gharbi, Laura Guisasola, Alba Galdón, Valldeflors Vinuela-Navarro, Joan Pérez-Corral, Núria Tomás, Núria Vila-Vidal

“…Measurements included ocular biometrics (AL and CR) and non-cycloplegic autorefraction for refractive error. Parental questionnaires provided demographic data (birth date, ethnicity). …”
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National administrative record linkage between specialist community drug and alcohol treatment data (the National Drug Treatment Monitoring System (NDTMS)) and inpatient hospitalis... by Katie L Harron, Martin White, Emmert Roberts, Matthew Hotopf, Colin Drummond, James C Doidge, Jonathan Knight, Brian Eastwood

“…These associations did not change substantially after probability weighting, suggesting they were not affected by bias from linkage error.Conclusions Linkage between substance misuse treatment and hospitalisation records offers a powerful new tool to evaluate the impact of treatment on substance related harm in England. …”
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A deep learning based automatic two-dimensional digital templating model for total knee arthroplasty by Jaeseok Park, Sung Eun Kim, Back Kim, Sanggyu Lee, Jae-Jun Lee, Du Hyun Ro

“…Compared with postoperative radiographs, predicted implant position had an error of less than 4 mm on average. Conclusions An AI-based templating tool for TKA was successfully developed, demonstrating satisfactory accuracy and efficiency. …”
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Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation by Jacopo Amidei, Rubén Nieto, Andreas Kaltenbrunner, Jose Gregorio Ferreira De Sá, Mayte Serrat, Klara Albajes

“…GPT-4 was comparable in terms of agreement with experts (with a weighted percentage agreement higher than 0.95), correlations with standardized measurements (for example in the range of 0.43 and 0.49 between the Revised Fibromyalgia Impact Questionnaire and GTP-4 with temperatures 1), and low error rates (root mean squared error of 1.20 for severity and 1.44 for disability). …”
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