Geometric Optimization of Indeterminate Truss Structures under Non-Loading Effects by Rana Ismail, Dhiaa Al-Tarafany, Hussam Risan

“…To summarize, several parameters can significantly affect the balance between the lack of fit and external loading such as axial rigidity, members’ configuration, the value, and the sequence of applying the error of construction. In conclusion, the construction error can be used as a prestressing technique to reduce the amount of generated force by external force in critical members if employed properly.…”
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Genetic influence on choroidal vascularity index. by Je Moon Yoon, Yong Jin Gil, Joohon Sung, Don-Il Ham, Mingui Kong

“…<h4>Conclusion</h4>The TCA, LA, and CVI are highly heritable.…”
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DED: Drift Principle in Educational Evolved Data by Ammar Thaher Yaseen Al Abd Alazeez

“…The results show that our proposed algorithm superiority existing ones in purity, entropy, and sum of square error measurements. Experiments led to the conclusion that the concept drift accompanied by a change in the number of clusters and outliers indicates a significant education event. …”
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Anomaly detection research using Isolation Forest in Machine Learning by A. S. Kechedzhiev, O. L. Tsvetkova

“…This confirms the effectiveness of Isolation Forest in environments where access to labeled data is limited or absent.Conclusion. The results demonstrate high anomaly detection recall despite relatively low overall accuracy, indicating the importance of contextual interpretation of metrics in the task of detecting rare events in data.…”
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Management of Pseudophakic Myopia Using Implantable Phakic Contact Lens with A ‘Piggy Back’ Technique by Kanchita Pandey, Devika Joshi, Shrikant Dinkar Joshi

“…This off-label use of IPCL offers a good alternative treatment option for pseudophakic patients with high refractive error.…”
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The Effect of 8 Weeks of Core Stabilization Training Program on Balance in Hearing Impaired Students by amin Farzaneh hessari, Hasan Daneshmandi, Solmaz Mahdavi

“…The static balance was measured with the balance error estimate system (BESS) and the dynamic balance was measured with the star excursion balance test (SEBT). …”
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The Research of Comparative Characteristics and Functional Features of the Co-integration of Technological Innovations and business Activity and their Impact on the Formation of Ma... by B. J. Matrizaev

“…In the short-term, there are strong causal relationships, but they are not always homogeneous. The main conclusion is the fact that the results obtained by the author confirm the correctness of using the approach of determining the order of integration and the presence/absence of co-integration between indicators of innovative development, business activity and economic growth. …”
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Application of user preference mining algorithms based on data mining and social behavior in brand building by Yuhan Dong

“…In conclusion, the user-preference mining algorithm based on data mining and social behaviors suggested in this study plays a better role in promoting an enterprise’s brand building. …”
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Analysis of Vertical Ground Reaction Force Data in Predicting Parkinson’s Disease by Varun Jain

“…Conclusion: Therefore, it can be determined that vertical ground reaction force can predict Parkinson’s Disease with considerable accuracy which could be improved with an increased number of participants. …”
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Postoperative Outcomes of “Optic Capture” Technique of IOL Implantation in Pediatric Cataract Surgery by Vaishali Prajapati, Kalpit Shah, Kushagra Jain

“…Methods: In a prospective evaluation, preoperative and postoperative visual acuity and refractive error were recorded. Intraoperative and postoperative complications were observed. …”
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Lingual Movement during Speech Production by a Speaker of Cantonese with Dysarthria-An Electromagnetic Articulographic Study by Manwa Lawrence Ng, Yang Chen, Sally Wong

“…In addition, lingual displacement associated with the error phonemes was similar to the substituted one (/t/), accounting for same phoneme perception.Conclusion:The EMA provided an objective measurement to better our understanding of the articulatory deviations exhibited by dysarthric individuals.…”
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The Philosophy of Human Rights Based on the Views of Ayatullah Jawadi Àmuli by hamid Parsania

“…In other words, it pertains to its truth or error. In this sense, the philosophy of human rights would fall under metaphysics. …”
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Monthly Water Level Prediction Based on ESMD-VMD-ESN Hybrid Model by LI Ang, ZHANG Kun, SANG Yuting, BI Wan

“…Water level sequence contain complex features of multiple frequency information.To improve the prediction accuracy of the water level sequences,a combined model was developed based on Extreme-point Symmetric Mode Decomposition (ESMD),Variational Mode Decomposition (VMD) and Echo State Network (ESN),namely ESMD-VMD-ESN.And it was applied to forecast water level of the Taipuzha station in the upper reaches of Taipu River.The predictive effect of the “first decomposition-second decomposition-prediction-reconstruction” model was explored by comparing it with a single model ESN and the combination model ESMD-ESN.The results show that ESMD-VMD-ESN has the highest accuracy,followed by ESMD-ESN,and the lowest ESN accuracy.Compared with the ESN,the Willmott's Index of Agreement (WIA) and Pearson Correlation Coefficient (PCC) of ESMD-ESN respectively increased by 51% and 11%,the Mean Absolute Error (MAE) and Root Mean Squard Error (RMSE) of ESMD-ESN respectively decreased by 14% and 45%.ESMD can effectively simplify the water level sequence and reduce the prediction error.Compared with the ESMD-ESN,the WIA and PCC of ESMD-VMD-ESN respectively increased by 5% and 10%,the MAE and RMSE of ESMD-ESN respectively decreased by 52% and 50%.VMD can further simplify the highest frequency component of ESMD and improving the model prediction accuracy.In conclusion,the combined model ESMD-VMD-ESN has well applicability and stability in the monthly water level prediction.…”
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Prediction of Traction Energy Consumption for Urban Rail Transit Trains in Relative Speed Mode by GUO Tuansheng

“…The prediction accuracy ranges from 92.0% to 99.6%, with a maximum relative error of 2.36%, an average relative error of 1.75%, and a root mean square relative error of 1.52%, outperforming other prediction methods by every indicator value. …”
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A COMPARISON OF FUZZY TIME SERIES CHENG AND CHEN-HSU IN FORECASTING TOTAL AIRPLANE PASSENGERS OF SOEKARNO-HATTA AIRPORT by Latifah Zahra, Maiyastri Maiyastri, Izzati Rahmi

“…To determine the accuracy of the forecast, use three criteria, namely Root Mean Squared Error (RMSE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE). …”
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Ultrasound image smoothing based on adaptive and non-adaptive filters by Heba Khudhair Abbas, Haidar Jawad Mohamad, Khloud Falih Abbas

“…Statistical criteria included mean square error, normalised absolute error and signalto- noise ratio. …”
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Cloud-based configurable data stream processing architecture in rural economic development by Haohao Chen, Fadi Al-Turjman

“…Results Testing on public and proprietary datasets shows that the RL-CNN-GRU framework significantly outperforms traditional models in predicting prices, with lower mean squared error (MSE) and mean absolute error (MAE) metrics. …”
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On Bayesian estimation of a latent trait model defined by a rank-based likelihood by Daniel Biftu Bekalo, Anthony Kibira Wanjoya, Samuel Musili Mwalili

“…Performance metrics like mean absolute error, root mean square error, and 95% confidence interval coverage probability revealed the estimates from the proposed Bayesian method surpassed those from classical approaches. …”
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THE PROFILE OF CREATIVE THINKING PROCESS: PROSPECTIVE MATHEMATICS TEACHERS by Gunawan Gunawan, Ferry Ferdianto, Fauzi Mulyatna, Reni Untarti

“…The term to describe the estimation stage is "trial and error." Significance –The findings show that the estimation stage, or "trial and error," helps accelerate the acquisition of creative ideas. …”
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Deep learning to promote health through sports and physical training by Xinyue Li

“…It achieves 22.8% lower Mean Absolute Error (MAE), 19.3% lower Root Mean Squared Error (RMSE), 6.5% higher R2, and 7.9% higher Explained Variance Score (EVS) compared to competitive models.ConclusionThe proposed HIS prediction model effectively captures complex temporal dependencies and improves the accuracy of health improvement predictions.…”
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