Projected changes and burden of type 2 diabetes in China from 1990 to 2021: an analysis of GBD 2021 data by Junhao MA, Guangqiang MIAO, Guixiao WANG, Shen LI, Liping YANG

“…The mean absolute percentage error (MAPE), mean absolute error (MAE), and root mean square error (RMSE) were used to compare the fitting and prediction performance of the models, and the best model was selected to predict the disease burden of T2DM in China from 2022 to 2026. …”
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Determination of distance away and depth of transmitters relative to a vertical acoustic telemetry array in the open ocean by Eric V. C. Schneider, Brendan S. Talwar, David M. Bailey, Shaun S. Killen, Dale M. Webber, Courtney E. MacSween, Travis E. Van Leeuwen, Frank I. Smith

“…This new ‘vertical acoustic array’ (VAR) allows for the calculation of a transmitter’s distance from the array and depth with average error around these metrics ranging from 16.2 to 54.8 m (distance error) and 8.6 to 61.5 m (depth error) within the tested range (~ 500 m radius around the array, ~ 300 m deep). …”
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Temporal disruption in tuberculosis incidence patterns during COVID-19: a time series analysis in China by Jiarui Zhang, Zhong Sun, Qi Deng, Yidan Yu, Xingyue Dian, Juan Luo, Thilakavathy Karuppiah, Narcisse Joseph, Guozhong He

“…Additionally, we compared the fitting and forecasting performance of the SARIMA, Prophet, and LSTM models using RMSE (root mean squared error), MAE (mean absolute error), and MAPE (mean absolute percentage error) indexes prior to the COVID-19 outbreak. …”
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The Association of Peroxisome Proliferator-Activated Receptor δ and Additional Gene-Gene Interaction with C-Reactive Protein in Chinese Population by Xiao-Ying Ding, Hao-Zheng Yuan, Ru Gu, Yan-Feng Gao, Xiao-Gang Liu, Ya Gao

“…The carriers of the C allele (TC or CC) of rs2016520 were associated with a significant decreased level of CRP, regression coefficients was −0.338, and standard error was 0.104 (p=0.001). The carriers of the G allele (CG or GG) of rs9794 were also significantly associated with decreased level of CRP, regression coefficients was −0.219, and standard error was 0.114 (p=0.012). …”
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Voice as a Health Indicator: The Use of Sound Analysis and AI for Monitoring Respiratory Function by Nicki Lentz-Nielsen, Lars Maaløe, Pascal Madeleine, Stig Nikolaj Blomberg

“…Despite an error range of −1252 to 1435 mL/s, most predictions fell within the LoA, indicating good performance in estimating the FEV1. …”
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Model-Based Geostatistical Mapping of the Prevalence of Onchocerca volvulus in West Africa. by Simon J O'Hanlon, Hannah C Slater, Robert A Cheke, Boakye A Boatin, Luc E Coffeng, Sébastien D S Pion, Michel Boussinesq, Honorat G M Zouré, Wilma A Stolk, María-Gloria Basáñez

“…The mean Pearson's correlation between observed and estimated prevalence at validation locations was 0.693; the mean prediction error (average difference between observed and estimated values) was 0.77%, and the mean absolute prediction error (average magnitude of difference between observed and estimated values) was 12.2%. …”
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Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…<b>Conclusions:</b> The proposed model was compared to Autoregressive Moving Average (ARMA) models, demonstrating superior performance. …”
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Improved potassium reliability in whole blood through hemolysis detection on the novel GEM Premier 7000 blood gas analyzer by Pighi Laura, Salvagno Gian Luca, Marcazzan Filippo, Rizza Mariateresa, Lippi Giuseppe

“…Background: Hemolysis is the most frequent preanalytical error in clinical laboratories, but its detection in point-of-care (POC) settings remains challenging due to the lack of sample separation. …”
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Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI by Toshiya Rachi, Taku Tochinai

“…Prediction accuracy was evaluated using mean absolute error (MAE), mean squared error (MSE), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and gamma passing rate with a 3 mm/3% criterion. …”
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RESEARCH ON METHODS OF DETERMINING CUSTOMER LOYALTY AND ASSESSING THEIR LEVEL OF SATISFACTION by Yana Leiba, Mariya Shirokopetleva, Iryna Gruzdo

“…The use of this method is fully justified, since the measurement error is low, and the margin of error is acceptable. …”
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Rationale for the Choice of a Positioning System for Mobile Agricultural Robot Movement Controlling by A. V. Teterev

“…(Conclusions) The author substantiated the choice of the most suitable and aff ordable Marvelmind positioning system and experimentally confi rmed the positioning accuracy declared by the manufacturer. …”
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Understanding forest insect outbreak dynamics: a comparative analysis of machine learning techniques by Roberto Molowny-Horas, Saeed Harati-Asl, Liliana Perez

“…We also noted that different conclusions could be reached for different performance metrics. …”
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FASTSeg3D: A Fast, Efficient, and Adaptive Ground Filtering Algorithm for 3D Point Clouds in Mobile Sensing Applications by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…Results: FASTSeg3D achieved state-of-the-art performance, with a mean error of <7%, error sensitivity < 10%, and IoU scores > 90% in all scenarios except extreme cases (rainy/night small-object conditions). …”
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Сomparative analysis of calculated and experimental studies of pallet movement speed on magnetic type brake roller by I. A. Sharifullin, A. L. Nosko, E. V. Safronov

“…It was found that with an increase in the speed of movement of the pallet along the magnetic brake roller, the error of the mathematical model increases, and, first of all, after crossing with the straight line of a drag peak speed.Conclusions. …”
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Capsular Bag Performance of a Novel Hydrophobic Single-Piece Intraocular Lens by Klemens Waser, Klaus Straßmair, Leon Pomberger, Haidar Khalil, Peter Laubichler, Matthias Bolz, Nino Hirnschall

“…Preoperative decentration was 0.16 mm, increasing to 0.26 mm postoperatively. Absolute refractive error (ARE) was + 0.31D, with 81% of eyes within ± 0.5D limits. …”
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Equibiaxial Planar Tension Test Method and the Simulation Analysis for Hyperelastic EAP Membrane by Huaan Luo, Yinlong Zhu, Haifeng Zhao, Luqiang Ma, Jingjing Zhang

“…The conclusions drawn from this paper will be beneficial in designing equibiaxial planar tension test rigs and analyzing their accuracy and uniformity of deformation.…”
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Body Height Estimation According to Deciduous Dental Crown Height in a Peruvian Sample of Preschool Children by Aldana Yanira Pimentel-Chalco, Kilder Maynor Carranza-Samanez, Julissa Amparo Dulanto-Vargas

“…The regressions were significant, explaining 13%–18% of 3-year-old females in #53 and #52 (1.85–1.86 cm error) and 5-year-old females in #53, #51, and #63 (4.61 at 4.63 cm error) (P<0.05). …”
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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…The best geometry for this purpose is circular, since providing the lowest bit error rate for binary phase-shift keyed signals.…”
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A comparison of operating room toric placement tools: CALLISTO eye vs. e Wavetec AnalyzOR (CORTCO) by Maria C. Scott

“…Abstract Background To evaluate procedure times for two cataract planning systems (ZEISS CALLISTO eye and the Wavetec AnalyzOR) in predicting residual astigmatism (prediction error) and other visual outcomes in patients with corneal astigmatism (maximum allowable up to 3.0D) at postoperative month 1. …”
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Accuracy of Intraocular Lens Power Calculation Using Anterior Chamber Depth from Two Devices with Barrett Universal II Formula by Hannah Muniz Castro, Audrey X. Tai, Samuel J. Sampson, Matthew Wade, Marjan Farid, Sumit Garg

“…Conclusions. The Catalys biometry yielded a significantly larger ACD value than the IOLMaster. …”
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