Prevalence of Neuropathic Pain in Morocco: A Systematic Review and Meta-Analysis by Zhor Zeghari, Jihane Belayachi, Redouan El Ouardi, Redouane Abouqal

“…A random-effects generalized linear mixed model was applied for direct data adjustment, using Knapp–Hartung standard error correction. …”
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Machine learning analysis of cardiovascular risk factors and their associations with hearing loss by Ali Nabavi, Farimah Safari, Ali Faramarzi, Mohammad Kashkooli, Meskerem Aleka Kebede, Tesfamariam Aklilu, Leo Anthony Celi

“…A multi-layer neural network emerged as the top predictor of pure tone averages, achieving a mean absolute error of just 3.05 dB. Feature analysis identified age, gender, blood pressure and waist circumference as key associated factors. …”
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Secrecy Outage Analysis of Mixed RF-FSO Systems With Channel Imperfection by Hongjiang Lei, Haolun Luo, Ki-Hong Park, Zhi Ren, Gaofeng Pan, Mohamed-Slim Alouini

“…Finally, Monte Carlo simulation results are presented to corroborate the correctness of the analysis.…”
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Near-infrared spectroscopy analysis to predict urinary allantoin in dairy cows by Leonardo A.C. Ribeiro, Guilherme L. Menezes, Tiago Bresolin, Sebastian I. Arriola Apelo, Joao R.R. Dórea

“…The partial least squares regression model achieved an R2 of 0.55, a concordance correlation coefficient of 0.73, and a root mean squared error of prediction (RMSEP) of 3.63 mmol/L to predict allantoin concentration from the spectra data set without preprocessing. …”
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Analysis of factors associated with arterial stiffness in the general working-age population by V. S. Kaveshnikov, I. A. Trubacheva, V. N. Serebryakova

“…A linear model was used to identify associations. An error rate of <5% was considered significant.Results. …”
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Polyomaviruses and the risk of oral cancer: a systematic review and meta-analysis by Tahoora Mousavi, Fatemeh Shokoohy, Mahmood Moosazadeh

“…The quality of each article was assessed using the Newcastle-Ottawa Scale (NOS) checklist. Data analysis was performed using STATA Ver. 11 software, and the standard error was calculated using the binomial distribution formula. …”
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An Analysis of the Globalization Impact on Food Supply Adequacy in Selected Developing Countries by Juliana Alforque, Dhymae Marl Buot, Charlywin Crampatanta, Mohammad Hanif Paporo, Resa Mae Laygan, Martha Joy Abing, Charlyn Capulong, Maria Rizalia Teves

“…Employing panel-corrected standard error (PCSE) estimation with 800 observations, the analysis revealed that globalization exerted a positive and statistically significant impact on food supply adequacy. …”
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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

“…Finally, the best result obtained by this study is 100% and there is no error rate for the classifier that was obtained. …”
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Swim, baby, swim: the active dispersal scenario of juvenile North Pacific loggerhead turtles revealed by historical satellite tracking data and novel operational oceanography produ... by Philippe Gaspar, Julien Temple-Boyer, Dana K. Briscoe, Masanori Kurita, Denise M. Parker, Jeffrey J. Polovina, Marc R. Rice, Tomomi Saito, George H. Balazs

“…The oceanic circulation is known to play a major role, but the impact of the swimming activity is poorly understood, largely because juvenile tracking experiments rarely cover a significant fraction of the lost years’ period. In addition, errors in commonly used ocean current estimates make it difficult to properly separate, in tracking data, the effect of the swimming activity from that of the drift velocity. …”
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The role of AI for MRI-analysis in multiple sclerosis—A brief overview by Jean-Pierre R. Falet, Jean-Pierre R. Falet, Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Berardino Barile, Amar Kumar, Amar Kumar, Joshua Durso-Finley, Joshua Durso-Finley, Tal Arbel, Tal Arbel, Douglas L. Arnold

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SCUBA implements a storage format-agnostic API for single-cell data access in R [version 2; peer review: 2 approved, 1 approved with reservations] by Krysta L. Engel, Jairav Desai, Austin E. Gillen, William M. Showers, Craig T. Jordan, Clayton Smith

“…This complicates validation of results and leads to inconsistent visualizations between analysis suites. Conversion between object formats is the most common solution, but this is difficult and error-prone due to the rapid pace of development of the analysis suites and their underlying data structures. …”
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Enhancing peak performance forecasting in steam power plants through innovative AI-driven exergy-energy analysis by Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, Muhammad Naqvi, Syed Qasim Raza Zahidi, Fayaz Hussain, Hayati Yassin, Atika Qazi

“…The model’s predictions for energy and exergy efficiencies are validated against experimental data, with root mean square error (RMSE) and coefficient of determination (R2) computed for accuracy evaluation. …”
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A lithofacies modeling method based on a new integrated algorithm and its application by LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin

“…It is currently the mainstream method of reservoir analysis. However, in the traditional combination of seismic data and logging data, the weight of the constraints on the final lithofacies is difficult to control. …”
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Evaluating 60 GHz Band Underwater Optical Wireless Communication Performance Based on Low-Density Parity Check Coding Under Diverse Water Conditions and Noise Levels by Aser M. Matarneh, Aseel M. Rwaidi, Saqer S. Alja'afreh

“…The signal-to-noise ratio (SNR), bit error rate (BER), and Q-factor were among the most important metrics studied via simulations using OptiSystem v.21 and MATLAB. …”
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Representative Sample Size for Estimating Saturated Hydraulic Conductivity via Machine Learning: A Proof‐Of‐Concept Study by Amin Ahmadisharaf, Reza Nematirad, Sadra Sabouri, Yakov Pachepsky, Behzad Ghanbarian

“…For each subset, we conducted the learning curve analysis on the training and cross‐validation data sets. …”
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Research on a Quality Control Method for L Band Second-Level Radiosonde toward Assimilation Applications by Dan WANG, Jincheng WANG, Weihong TIAN

“…Since 2003， the World Meteorological Organization （WMO） proposed and coordinated a switch from traditional radiosonde format （TAC code） to second-resolution binary （BUFR） report， which leads the assimilation of second radiosonde data in numerical prediction model becoming the future trend.Data quality control is a key and basic work before assimilation application.In addition， the observational error characteristics of Lband second-level radiosonde are significantly different from that of conventional radiosonde.Therefore， a two-step quality control method for assimilation application is developed in this paper.The first step integrates conventional radiosonde quality control procedures and inserts several additional steps according to the data characteristics of second-level radiosonde， which aims at eliminating human-observation errors as much as possible.The second step introduces a dynamic blacklist checking module into the assimilation system， at the same time remaining the old OMB （observation minus background） check method， so as to control the representative deviation between the observation and the model background.By comparing and analyzing the statistical characteristics of the observation samples before and after the quality control procedure， and combining them with the actual assimilation analysis results of the NWP model， the rationality of the two-step quality control procedure has been comprehensively verified.It reveals that the data anomaly is greatly reduced after the two-step quality control procedure， at the same time the OMB is closer to a Gaussian distribution.Moreover， the validity of data assimilation is enhanced leading to a better assimilation analysis effect.The work lays a foundation for the future operational application of L-band second-level radiosonde data in GRAPES （Global/Regional Assimilation and Prediction System） model.…”
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Comparative evaluation of Artec Leo hand-held scanner and iPad Pro for 3D scanning of cervical and craniofacial data: assessing precision, accuracy, and user experience by Samuel D. J. Spears, Thomas Lester, Ryo Torii, Deepak M. Kalaskar

“…Precision and accuracy were assessed using Mean Absolute Deviation (MAD), Mean Absolute Percentage Error (MAPE), and Intra-Class Correlation Coefficients (ICC). …”
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Reconstruction of Petermann glacier velocity time series using multi-source remote sensing images by Zongze Li, Jinsong Chong, Yawei Zhao, Lijie Diao

“…Then the spatiotemporal glacier velocity matrix is constructed and empirical orthogonal function (EOF) analysis is carried out. Among them, the glacier velocity is reconstructed by the glacier velocity estimation method based on confidence, and the complete glacier velocity time series is obtained by iterating to minimize the error of the reconstructed glacier velocity. …”
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How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple i... by K. P. Junaid, Tanvi Kiran, Madhu Gupta, Kamal Kishore, Sujata Siwatch

“…The robustness of MICE was assessed through three approaches: comparison of means using the Repeated Measures- Analysis of variance, estimation of evaluation metrics (Root mean square error, mean absolute deviation, Bias, and proportionate variance), and visual inspection of box plots of imputed and non-imputed data. …”
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Finger tracking for wearable VR glove using flexible rack mechanism by Roshan Thilakarathna, Maroay Phlernjai

“…Conclusions: The repeatability analysis revealed an aggregate error of 1.45 degrees in both the gripped and flat hand positions. …”
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