Applying Mixed-Effects Models in Research on Second Language Acquisition: A Tutorial for Beginners by Marc Brysbaert

“…By providing a clear and accessible approach, this tutorial empowers SLA researchers to effectively analyze their data and draw meaningful conclusions.…”
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Parental acceptance of novel children's medical syringes and their influencing factors by Su Wen Luo, Peng Rui Yang

“…Technology anxiety and time and error reduction emerge as key factors influencing perceived risks.ConclusionsThis study offers product designers crucial insights into purchasing factors for children's medical products, aims to enhance product development and iteration efficiency, and promotes more accurate innovation, decision-making, and communication. …”
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Simulation of Soil Temperature and Humidity at Mado Station by CLM5.0 Model Encrypted Soil Layering Scheme by Yiqun BAO, Shihua LÜ, Zisha LIU

“…The source of the Yellow River is an important water conservation area in the Yellow River Basin， and it is of great significance to study the influence of different soil stratification on the simulation results of freeze-thaw process and to improve the model's simulation ability of water-heat transport process for the study of freeze-thaw process in the alpine region.In this paper， we use the observation data from Mado station in the Yellow River source area as the forcing field to drive the land surface model CLM5.0 （Community Land Model） to simulate in Mado station， and use the three improved soil layering schemes of CLM5.0 to simulate the influence of different soil layering on the soil freezing and thawing process， and compare the simulation results with the observations to analyze the influence of the improved layering schemes on the land surface model.CLM5.0 in the Yellow River source area in the process of freezing and thawing on the soil temperature and humidity simulation ability to improve the effect of the following conclusions： （1） adjusted three soil layering scheme on the simulation of soil temperature at Mardo station has a better effect of the improvement of the simulation of the three programs in the 30-layer program simulation of the best effect of the simulation， simulated values and the average correlation coefficient with the observed value reaches 0.954， the average root-mean-square error of 3.334 ℃ （2） The simulation effect of the three adjusted soil layering schemes on soil moisture at Mado station is also improved more significantly， which can accurately capture the seasonal changes of soil moisture in each layer in a whole year， affected by precipitation， the simulated values are not sufficiently relevant to the simulation of the troughs of the measured values， and the best simulation effect is achieved in the 30-layer scheme among the three schemes， with an average correlation coefficient of 0.770， and an average root-mean-square error of The average correlation coefficient is 0.770， and the average root mean square error is 0.039 m3·m-3； （3） For the simulation of the initial day of freezing and the initial day of ablation， the adjusted three different soil layers have obvious effects on the simulation of the freezing period and the ablation period， and the simulated initial day of freezing and the initial day of ablation of the shallow layer are in line with the observed values， while the simulation of the initial day of freezing and the initial day of ablation of the deeper layer is somewhat biased， with delays compared with the observed values， and the period of ablation is more persistent.…”
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Causalidad y cointegración del precio del bitcoin durante la pandemia - Causality and cointegration of bitcoin prices during the pandemic by Ángel Enrique Chico-Frías , Luis Morales La Paz 

“…Conclusions: bitcoin closing prices exhibit autoregressive behavior in conjunction with the variable of fully vaccinated individuals, with both showing significance at 10 lags using first differences. …”
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Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset by Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhiyuan Si, Xing Shu, Heng Li

“…Results demonstrate that the FOM-W model exhibits the highest superiority in simulation accuracy, achieving a mean absolute error (MAE) of 9.2 mV and root mean square error (RMSE) of 19.1 mV under Highway Fuel Economy Test conditions. …”
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Evaluation of the fit of preformed nickel titanium arch wires on normal occlusion dental arches by Rakhn G. Al-Barakati, Nasser D. Alqahtani, Abdulaziz AlMadi, Sahar F. Albarakati, Eman A. ALKofide

“…Results: In the upper arches, the best fit and least error were obtained with RMO Ovoid and Ormco Orthos Large archwires for male cases, but with 3 M Orthoform LA archwires for female and combined cases. …”
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A GIS-Independent method of Stream-Order-Law Ratios Prediction in Catchments for direct Runoff Hydrograph Estimation by Mostafa Akbari Kheirabadi, Touraj Sabzevari, Andrea Petroselli, Mohsen Tarahi

“…The results indicate that the peak runoff error calculated using the GIUH model based on regression equations was 10% higher than model calculations based on the data obtained from GIS. …”
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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

“…The performances among the models are compared by the mean absolute error, root mean square error and coefficient of determination. …”
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Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs by Deniz Bora Küçük, Andaç Imak, Salih Taha Alperen Özçelik, Adalet Çelebi, Muammer Türkoğlu, Abdulkadir Sengur, Deepika Koundal

“…Manual interpretation of these images is time consuming and error prone, highlighting the need for automated, accurate solutions. …”
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Beyond-Rule-of-Five Compounds Are Not Different: In Vitro–In Vivo Extrapolation of Female CD-1 Mouse Clearance Based on Merck Healthcare KGaA Compound Set by Christine K. Maurer, Zhizhou Fang, Heide M. Duevel, Stephanie Harlfinger, Carl Petersson

“…<b>Results:</b> This study showed no or little differences in predictive accuracy nor bias between the two groups, with an average fold error close to 1, an absolute average fold error of just over 2, and around 50% being within 2-fold and >90% being within 5-fold of the predicted unbound clearance in both in vitro systems. …”
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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…Effective dose was also estimated using DLP and k-factors, and with multiple linear regression. Mean absolute error (MAE, mean absolute percentage error (MAPE), and R² were used to evaluate predictions in the test set and in an external dataset of 3800 acquisitions. …”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…However， the traditional model has the problem of insufficient time-trend learning ability and error accumulation in multistep photovoltaic power prediction， which limits the improvement of prediction accuracy. …”
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Artificial Intelligence Classification for Detecting and Grading Lumbar Intervertebral Disc Degeneration by Wongthawat Liawrungrueang, Watcharaporn Cholamjiak, Peem Sarasombath, Khanathip Jitpakdee, Vit Kotheeranurak

“…For Grade V, the prediction error was 2.3%, 2%, and 2.5% in the training, testing, and validation sets, respectively. …”
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Positional Accuracy of Dental Implants Placed by Means of Fully Guided Technique in Partially Edentulous Patients: A Retrospective Study by Mariano Tia, Alessia Teresa Guerriero, Antonio Carnevale, Ilaria Fioretti, Gianrico Spagnuolo, Gilberto Sammartino, Roberta Gasparro

“…The accuracy of the technique was measured by the deviation between the actual implant position (mesio‐distal deviation, depth error, and axis deviation) obtained from the postoperative CBCT and the preoperative planned implant position. …”
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The impact of biological sex in peripheral nerve blockade: A prospective pharmacodynamic, pharmacokinetic and morphometric study in volunteers. by Markus Zadrazil, Peter Marhofer, Malachy Columb, Philipp Opfermann, Werner Schmid, Daniela Marhofer, Thomas Stimpfl, Sabine Reichel, Valentin Al Jalali, Markus Zeitlinger

“…<h4>Conclusions</h4>We did not detect significant differences between female and male study participants in terms of pharmacodynamic and morphometric characteristics after ultrasound guided ulnar nerve blocks. …”
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High-resolution 2D-DoA sequential algorithm of azimuth and elevation estimation in automotive distributed system of coherent MIMO radars by I. V. Artyukhin

“…The proposed scheme of DoA estimation for coherent signal processing of distributed radars is shown to lead to an improvement of the main considered metrics representing the probability of correctly estimating the number of targets, mean square error, and square error compared to a single radar system. …”
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The morphofunctional state of the fetal thyroid gland in maternal-fetal infections caused by Escherichia coli, Staphylococcus aureus and Klebsiella pneumoniae by P. S. Talapova, I. V. Sorokina

“…The null hypothesis was rejected in cases when an error probability (P) did not exceed the type I error set at 0.001 (P < 0.001). …”
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Comparative analysis prediction of prostate and testicular cancer mortality using machine learning: accuracy study by Aurélio Gomes de Albuquerque Neto, David Medeiros Nery, João Paulo Araújo Braz, Carla Ferreira do Nascimento, Tiago Almeida de Oliveira, Brígida Gabriele Albuquerque Barra, Leonardo Thiago Duarte Barreto Nobre, Diego Bonfada, Janine Karla França da Silva Braz

“…The prediction accuracy of the Prophet algorithm was evaluated using the mean squared error (MSE), the root mean squared error and analyzed using the pyMannKendall, and Prophet libraries. …”
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Estimating Nurse Workload Using a Predictive Model From Routine Hospital Data: Algorithm Development and Validation by Paul Meredith, Christina Saville, Chiara Dall’Ora, Tom Weeks, Sue Wierzbicki, Peter Griffiths

“…ResultsIn a test set of 11,592 ward assessments from 42 wards with a mean WTE per patient of 1.64, the model’s mean absolute error was 0.078, with a mean percentage error of 4.9%. …”
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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem by Yi Chang, Ming Dong, Lihong Fan, Bochao Kang, Weikai Sun, Xiaofeng Li, Zhang Yang, Ming Ren

“…The coefficient of determination R2 between the reconstruction results of all the algorithms and the true value is above 0.80, and the mean absolute error is below 2.1 mV, among which the R2 of long short-term memory network is about 0.99 and the mean absolute error about 0.5 mV. …”
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