Performance analysis and evaluation of a hybrid erasure error correction scheme in wireless real-time multicast systems by Guo-ping TAN, Li-zhong XU, Xi-jun YAN, Zai-jun HUA

“…In order to analyze and evaluate accurately the performance of erasure error correction (EEC) schemes in wireless real-time multicast (WRM) systems,A method which relying on the Gilbert-Elliot (GE) channel model and the practical experimental data was proposed.Namely,a closed-form expression for analyzing the performance of a hybrid EEC scheme over GE channel was contributed.Then,a validating and evaluating system w th real-time multicast services over WLAN was designed.Based on the system,the maximum likelihood estimation method was adopted for statistical evaluations.The results show that the GE model can match the practical erasure error channel accurately.Both the analysis results of the hybrid EEC scheme and the experimental lts are basically coincident,which validates the accuracy of the method.This method is of reference significance for analyzing and evaluating accurately all kinds of EEC schemes in WRM systems.…”
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Quantitative analysis of retinal vascular parameters changes in school-age children with refractive error using artificial intelligence by Linlin Liu, Lijie Zhong, Linggeng Zeng, Fang Liu, Xinghui Yu, Lianfeng Xie, Shuxiang Tan, Shuang Zhang, Yi-Ping Jiang

“…AimTo quantitatively analyze the relationship between spherical equivalent refraction (SER) and retinal vascular changes in school-age children with refractive error by applying fundus photography combined with artificial intelligence (AI) technology and explore the structural changes in retinal vasculature in these children.MethodsWe conducted a retrospective case–control study, collecting data on 113 cases involving 226 eyes of schoolchildren aged 6–12 years who attended outpatient clinics in our hospital between October 2021 and May 2022. …”
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A Novel High-Fidelity Reversible Data Hiding Method Based on Adaptive Multi-pass Embedding by Xiaoxi Kong, Wenguang He, Zhanchuan Cai

“…In reversible data hiding, prediction error generation plays a crucial role, with pixel value ordering (PVO) standing out as a prediction method that achieves high fidelity. …”
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Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis. by Hisako Katano, Eiji Sasaki, Kanto Nagai, Naofumi Hashiguchi, Haruka Kaneko, Yasuyuki Ishibashi, Ryosuke Kuroda, Nobuo Adachi, Muneaki Ishijima, Makoto Tomita, Jun Masumoto, Ichiro Sekiya

“…<h4>Purpose</h4>A novel AI-based 3D analysis system was developed to automatically extract bone and cartilage from MRI data and provide average cartilage thickness. …”
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Exploring the Link: A Systematic Review and Meta‐Analysis on the Prevalence and Association Between Refractive Errors and Intermittent Exotropia by Najah K. Mohammad, Ibrahim Ali Rajab, Mohammed Tareq Mutar, Mustafa Ismail

“…ABSTRACT Background and Aims Refractive errors and intermittent exotropia are prevalent conditions in pediatric populations, impacting visual development and quality of life. …”
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Refractive error and risk of early or late age-related macular degeneration: a systematic review and meta-analysis. by Ying Li, Jiwen Wang, Xiaojing Zhong, Zhen Tian, Peipei Wu, Wenbo Zhao, Chenjin Jin

“…Extracted data were combined using a random-effects meta-analysis. …”
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Prevalence of medication administration errors and its determinants among nurses in Ethiopia: a systematic review and meta-analysis by Muluken Amare Wudu, Ewunetie Mekashaw Bayked, Yemane Eshetu Bekalu, Tarikua Afework Birhanu

“…The Joanna Briggs Institute (JBI) checklist was used to evaluate the quality of the studies, with three authors participating in the process. Data analysis for the pooled magnitude of MAEs and their determinants was conducted using STATA 17 software with the DerSimonian and Laird random-effects model. …”
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Application of type I and II error analysis to support economic decision-making of using an immunomodulator feed additive by L.T. Casarotto, A. De Vries, J.D. Chapman, L.O. Ely, G.E. Dahl

“…This study applies a type I and II error analysis to quantify the economic risk of investing in OMN feed supplementation using data from a controlled study and a field dataset collected on dairy farms. …”
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Agricultural Cultivation Cost Prediction Using Neural Networks and Feature Importance Analysis by Salmania Putri, Tora Fahrudin, Asti Widayanti

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Auto-calibration method and performance analysis for noncircular sources based on instrumental sensors by Jie-xin YIN, Ying WU, Ding WANG

“…The performance study on NC-ISM proved the statistical consistency of the pa-rameter estimation, and a theoretical derivation for the closed-form expression of the mean square error (MSE) of NC-ISM estimation was presented under the influence of modeling errors of instrumental sensors by the first-order analysis. …”
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INFERENCES DRAWN ON COMMON SCALE PARAMETER OF TWO POPULATIONS USING RAINFALL DATA by Vijay Kumar Lingutla, Nadiminti Nagamani, P. S. Brahmanandam

“…Bayesian estimates are derived for the common scale parameter and distinct shape or location parameters for Weibull, Rayleigh, Lomax, and Gamma distributions under both squared error and Linex loss functions. To facilitate this analysis, Gamma priors are employed for Weibull, Rayleigh, and Lomax distributions, guided by relevant references, while an Inverted gamma prior is applied for the Gamma distribution. …”
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Modeling Time Series with SARIMAX and Skew-Normal and Zero-Inflated Skew-Normal Errors by M. Alejandro Dinamarca, Fernando Rojas, Claudia Ibacache-Quiroga, Karoll González-Pizarro

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PRAKIRAAN CURAH HUJAN KECAMATAN KAIRATU KABUPATEN SERAM BAGIAN BARAT DENGAN MODEL AUTOREGRESIVE INTEGRATED MOVING AVERAGE (ARIMA) by Grace Loupatty

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Pronunciation Errors of the Hijaiyah in Students of Nurussalam Grade VII of Junior High School Barito Kuala South Kalimantan by A. Fahrurrazi

“…The data collection technique uses listening, interviews and observation techniques, while the data analysis technique uses six stages.  …”
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Spectacles and Refractive Errors: Children’s Perspective by Amit Maitreya, Renu Dhasmana

“…A self-designed, standardized, prevalidated questionnaire was provided and answers were evaluated. Data thus obtained was subjected to standard statistical analysis. …”
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Lexical Errors in English Language Writing – The Case of selected Senior High School students in the Ashanti Region of Ghana by Dorah Mensah, Charles Owu-Ewie, Levina Nyameye Abunya, Albert Abban, Halimatu Sadia Jibril

“…A model based on Corder’s Error Analysis theory was used to analyse the data. …”
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Velocity Errors Associated with Application of Inertial Methods for Detecting Rail Surface Short-Wavelength Irregularities by A. V. Bolshakova, A. M. Boronahin, D. Yu. Larionov, L. N. Podgornaya, A. N. Tkachenko, R. V. Shalymov, E. D. Churyaev

“…The implemented correlation analysis allows compensation of high-velocity errors when determining the defects. …”
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Diagnostic Measures in Ridge Regression Model with AR(1) Errors under the Stochastic Linear Restrictions by A. Zaherzadeh Zaherzadeh, A. R. Rasekh, B. Babadi

“…Outliers and influential observations have important effects on the regression analysis. The goal of this paper is to extend the mean-shift model for detecting outliers in case of ridge regression model in the presence of stochastic linear restrictions when the error terms follow by an autoregressive AR(1) process. …”
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PARAMETRIC STATISTICS APLICABILITY TO BIO-MEDICAL DATA ANALYSIS by A. N. Gerasimov, M. Yu. Serdyukova

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Leveraging large language models for data analysis automation. by Jacqueline A Jansen, Artür Manukyan, Nour Al Khoury, Altuna Akalin

“…Our approach improves code generation via specialized prompt engineering and error feedback mechanisms. In addition, our system can execute the data analysis workflows prescribed by the LLM providing the results of the data analysis workflow for human review. …”
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