A neural networks technique for analysis of MHD nano-fluid flow over a rotating disk with heat generation/absorption by Yousef Jawarneh, Humaira Yasmin, Wajid Ullah Jan, Ajed Akbar, M. Mossa Al-Sawalha

“…The recommended model was compared for verification, and the estimation solutions for particular instances were assessed using the NNB-LMS training, testing, and validation procedures. A regression analysis, a mean squared error (MSE) assessment, and a histogram analysis were used to further evaluate the proposed NNB-LMS. …”
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XGBoost-based prediction of heat and mass transfer in phase change systems: Insights from ISPH simulation and parameter sensitivity analysis by Kuiyu Cheng, Abdelraheem M. Aly, Munirah Alotaibi, Sang-Wook Lee

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Sitagliptin on Carotid Intima-Media Thickness in Type 2 Diabetes Mellitus Patients and Anemia: A Subgroup Analysis of the PROLOGUE Study by Zhengri Lu, Genshan Ma, Lijuan Chen

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3D computational fluid dynamics analysis of natural gas separation efficiency in multiphase pumping wells with heterogeneous flow regime by Charles C. Okafor, Patrick G. Verdin

“…The [Formula: see text] SST turbulence model was however considered for the sensitivity analysis on liquid viscosity. The final numerical results validated against the corresponding experimental data showed an average error of less than 6%. …”
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The Method of Predicting the Ｒise of Temperature by Combining Fuzzy System and Ｒecursive Least Square by WANG Gang, ZHANG Bo, WANG Guan, YE San-pai

“…Then the model is tested by testing data. The error is in reasonable range. The result shows that the new method is feasible to predict the rise of temperature of connection fitting. …”
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Patient Safety Trends in 2024: An Analysis of 315,418 Serious Events and Incidents From the Nation’s Largest Event Reporting Database by Shawn Kepner, Rebecca Jones

“…In this article, we present data from reports submitted to PA-PSRS in 2024. # Methods We used data extracted from PA-PSRS and obtained from the Pennsylvania Health Care Cost Containment Council (PHC4). …”
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Rapid diagnosis of drug resistance to fluoroquinolones, amikacin, capreomycin, kanamycin and ethambutol using genotype MTBDRsl assay: a meta-analysis. by Yan Feng, Sijun Liu, Qungang Wang, Liang Wang, Shaowen Tang, Jianming Wang, Wei Lu

“…The aim of this meta-analysis was to synthesize the latest data on the diagnostic accuracy of GenoType MTBDRsl in detecting drug resistance to fluoroquinolones, amikacin, capreomycin, kanamycin and ethambutol, in comparison with the phenotypic drug susceptibility test.…”
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Comparative studies of Taguchi dynamic analysis, statistical, and artificial neural networks for low-carbon steel corrosion inhibition in acidic media by Aprael S. Yaro, Anees A. Khadom, Saeed Rajab Yassen

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Risk factor analysis and predictive model development for secondary failure of platelet recovery following allogeneic hematopoietic stem cell transplantation by Xiru Peng, Juan Cheng

“…Variables with P < 0.05 in univariate analysis were included in a logistic multivariate stepwise regression to identify the final variables for the model. …”
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Metal loss defect detection and depth estimation using multi-spectral image analysis of cooling excited steel specimen with corrosion by Shamendra Egodawela, Amirali K. Gostar, H. A. D. Samith Buddika, W. A. N. I. Harischandra, A. J. Dhammika, Mojtaba Mahmoodian

“…Principal Component Analysis and machine learning regression were used to transform discrete defect depths into continuous assessments. …”
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Apple phenotyping using deep learning and 3D depth analysis: An experimental study on fruitlet sizing during early development by Giorgio Checola, Damiano Moser, Paolo Sonego, Cristian Iob, Franco Micheli, Pietro Franceschi

“…After obtaining an AP@0.5 and AP@[0.5:0.95] of respectively 0.894 and 0.77 in fruitlet detection, along with a precision of 0.881 and a recall of 0.846, our approach efficiently processed video frames, extracting the most reliable data for each labeled cluster. While the comparison of true positive estimates with calibrated caliper measurements showed a mean RMSE of 1.05 mm, challenges remain in achieving the correct fruitlet count, with a mean counting error of 0.63 fruitlets per video. …”
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Common Linguistic Mistakes Made by Yemeni EFL Arabic-Speaking Learners in Their Writing by Ebtissam Ezzy Alwan Talib

“…The study employs qualitative analysis, evaluating essay data from twenty Yemeni EFL eighth-semester Arabic-speaking students at Hodeidah University using Ellis' five-step error analysis (EA) approach. …”
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Therapeutic Efficacy of Moxibustion with Seed-Sized Moxa-Cone at Jing Acupoint on Limb Spasticity after Stroke： A Meta-Analysis by ZHANG Jinfei, JIANG Jiahui, TANG Jiqin

“…RevMan 5.3 software was used for meta-analysis. Measurement data were expressed by mean difference (MD) and standardized mean difference (SMD) with 95% confidence interval (CI), and enumeration data were expressed by odds ratio (OR); SAS studio software was used to calculate the effect size (logrr) and standard error (selogrr) of ordinal data based on the cumulative odds model. …”
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Statistical modelling of rutting for low-volume roads in India by Chandrakasu Makendran

“…The model is statistically validated and used to forecast road rutting and the effectiveness of the rutting prediction is confirmed. The error between the field data and estimated values is within 5 %.…”
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A competing risk analysis of predictors of time to lost to follow-up among adults with TB/HIV coinfection in Bahir Dar by Robel Demelash, Getachew Hailu, Taye Abuhay, Zemenu Addis, Ayenew Tega, Degarege Nibret, Yitagesu Habtu

“…The LTFUs from ART and anti-TB treatment were events of interest and competing events, respectively, and others were censored. The data were entered into Epi data and then exported to Stata and Rstudio. …”
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Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

“…Electrical impedance spectroscopy (EIS), recognized for its high reproducibility, user-friendly nature, non-polluting properties, measurement stability, and controllable error rates, stands out as a cutting-edge, non-destructive technique for quality assessment in today's landscape of equipment, applications, and data analysis methodologies. …”
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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

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Enhanced sentiment analysis framework: Ensemble attention enhanced bidirectional long-short-term encoder for accurate classification of consumer reviews by Ali Jaber Almalki

“…The fast growth of today's technology on social media, the web, etc caused the ongoing and fast creation of opinionated textual data. In this context, internet reviews by consumers determine upcoming consumers whether can buy a particular product or not. …”
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A hybrid integration framework based on LOOCV and SARIMA: relationship exploring and predictive analysis between discipline attention and literature research by Yulin Zhao, Junke Li, Kai Liu, Chaowang Shang

“…Finally, the prediction errors of different methods were compared. Based on the RAPA framework, the correlation analysis found that the r-values of subject attention and literature researches were all greater than 0.75, indicating a positive correlation between them. …”
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New Technologies in Electronic Pharmacovigilance Systems for Marketing Authorisation Holders by O. A. Loginovskaya, V. P. Kolbatov, R. V. Sukhov, M. S. Ryavkina, A. S. Kolbin

“…As the technologies reduce the degree of human involvement into routine processes of data collection, entry, verification, and analysis, the likelihood of errors reduces as well, whereas the quality and accuracy of the obtained results improve.…”
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