Estimación de rendimiento en el cultivo de caña de azúcar (Saccharum officinarum) a partir de fotogrametría con vehículos aéreos no tripulados (VANT) by Bryan Alemán Montes, Carlos Henríquez Henríquez, Tatiana Ramírez Rodríguez, Kenneth Largaespada Zelaya

“…Conclusión. Según los resultados, la mejor fecha para la estimación TMH fue aproximadamente 3 meses antes de cosecha. …”
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Forecasting particulate matter concentration using nonlinear autoregression with exogenous input model by M.I. Rumaling, F.P. Chee, H.W.J. Chang, C.M. Payus, S.K. Kong, J. Dayou, J. Sentian

“…By using these variables together with temporal variables as input in the nonlinear autoregressive with exogenous input models, the resultant model shows good forecasting performance, with root mean square error of 7.086±0.873 µg/m3. The selection of significant variables helps in reducing input variables inside the forecast model without degrading its forecast performance.CONCLUSION: This model shows very promising performance in forecasting PM10 concentration in Kota Kinabalu as it requires fewer input variables and does not require variable transformation.…”
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Comparison of the Effects of Wearing Overminus Spectacles versus Patch Therapy in 3- to 8-Year-Old Children with Intermittent Exotropia: A Randomized Controlled Trial by Mohammad Sharifi, Samira Hassanzadeh, Marzieh Najaran, Negar Shahsavar, Negar Morovatdar

“…Non-surgical treatments include refractive error correction, occasional patching of the normal eye in young children, prism therapy, and orthoptic exercises. …”
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Statistical Evaluation of Smartphone-Based Automated Grading System for Ocular Redness Associated with Dry Eye Disease and Implications for Clinical Trials by Rodriguez JD, Hamm A, Bensinger E, Kerti SJ, Gomes PJ, Ousler III GW, Gupta P, De Moraes CG, Abelson MB

“…The optimal generalized model improved predictive accuracy with horizontality such that 93.0% of images were predicted with an absolute error less than one unit difference in grading.Conclusion: This study demonstrates that fully automating image analysis allows thousands of images to be graded efficiently. …”
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A Retrospective Trial Comparing Prediction Accuracy of Three Biometers in Short, Medium, and Long Eyes by Multack S, Plummer N, Marneris A, Hall B

“…Sam Multack,1 Nellie Plummer,1 Athanasios Marneris,1 Brad Hall2 1Multack Eye Care, Frankfort, IL, USA; 2Sengi, Penniac, NB, CanadaCorrespondence: Sam Multack, Multack Eye Care, 22200 Wolf Road, Frankfort, IL, 60423, USA, Tel +1-815-889-3333, Email smultack@mecvision.comPurpose: To assess the non-inferiority of mean absolute prediction error (APE) of the Argos (Movu, a Santec company) compared with the IOL Master 700 (Carl Zeiss Meditec AG) and Lenstar LS900 (Haag-Streit AG) biometers utilizing the Barrett Universal II (BUII) formula for power calculations in short, medium, and long axial length eyes.Methods: This was a retrospective chart review of prediction error from 3 biometers (Argos, IOLMaster 700, and Lenstar LS900). …”
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Comparison on the application of the software for image-free control UAV data processing of digital landslide: A case study of Huangtupo landslide in the Three Gorges Reservoir are... by Yujian HE, Jie DOU, Xiekang WANG, Yonghu FU, Hao MA, Heng WANG

“…A comparative analysis is conducted based on four aspects: orthophoto quality, accuracy error, time consumption, and operation difficulty. …”
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Evaluation of the Agreement of Advanced Corneal Explorer with Pentacam and Orbscan in Myopic Individuals with Healthy Corneas by Mohammad-Hosein Validad, Hava Shafiee, Monireh Mahjoob, Tahereh Rakhshandadi, Hadi Ostadimoghaddam, Abbas-Ali Yekta, Javad Heravian Shandiz, Neda Nakhjavanpour, Sara Farsi

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Experimental evaluation of mechanical heart support system based on viscous friction disc pump by A. M. Chernyavskiy, T. M. Ruzmatov, A. V. Fomichev, A. E. Medvedev, Yu. M. Prikhodko, V. M. Fomin, V. P. Fomichev, K. A. Lomanovich, A. M. Karaskov

“…Flow volume of the working fluid was measured by float rotameter Krohne VA-40 with measurement error of not more than 1%. The pressure values in the hydrodynamic circuit were measured using a monitor manufactured by Biosoft-M. …”
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Moxibustion for cognitive impairment: A systematic review and meta-analysis of animal studies by Sungmin Aum, Seon Choe, Mudan Cai, Ui Min Jerng, Jun-Hwan Lee

“…There was a significantly enhanced latency period and reduced error time in the step-down test and nerve behavior score. …”
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Use of a Digital Camera to Monitor the Growth and Nitrogen Status of Cotton by Biao Jia, Haibing He, Fuyu Ma, Ming Diao, Guiying Jiang, Zhong Zheng, Jin Cui, Hua Fan

“…And the relationships for estimating cotton aboveground total N content were most precise, the coefficients of determination (R2) value was 0.978, and the root mean square error (RMSE) value was 1.479 g m−2. …”
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A systematic review of neural network applications for groundwater level prediction by Samuel K. Afful, Cyril D. Boateng, Emmanuel Ahene, Jeffrey N. A. Aryee, David D. Wemegah, Solomon S. R. Gidigasu, Akyana Britwum, Marian A. Osei, Jesse Gilbert, Haoulata Touré, Vera Mensah

“…The findings contribute to a deeper understanding of new trends in groundwater research such as the application of neural networks for prediction problems in groundwater research. In conclusion, a hybrid metaheuristic algorithm produced more efficient results emphasizing their efficacy. …”
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A Comparative Study of Two In Vivo PET Verification Methods in Clinical Cases by Junyu Zhang, Junyu Zhang, Junyu Zhang, Junyu Zhang, Junyu Zhang, Yan Lu, Yan Lu, Yan Lu, Yinxiangzi Sheng, Yinxiangzi Sheng, Yinxiangzi Sheng, Weiwei Wang, Weiwei Wang, Weiwei Wang, Zhengshan Hong, Zhengshan Hong, Zhengshan Hong, Yun Sun, Yun Sun, Yun Sun, Rong Zhou, Rong Zhou, Jingyi Cheng, Jingyi Cheng, Jingyi Cheng

“…When comparing the mean depth error from the two methods, the paired t-test result shows that the p-value is 0.541, and the standard deviation of the segment-based method is smaller than that of the point-based method.ConclusionIn breast cancer case verification application, point-based and segment-based methods show no significant difference in the mean value of results. …”
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Image segmentation method of plastic-film corn canopy by ZHANG Wanhong, LIU Wenzhao

“…The low RMSE and error rate further confirmed the rationality of the method used in this paper.In conclusion, the method presented in this paper for image segmentation of plastic-film corn canopy is reliable under the weak light condition.…”
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A hybrid optimization algorithm based on cascaded (1 + PI)-PI-PID controller for load frequency control in interconnected power systems by Md. Shahid Iqbal, Md. Faiyaj Ahmed Limon, Md. Monirul Kabir, Md. Zakir Hossain, Md. Fahad Jubayer, Md. Janibul Alam Soeb

“…The study uses integral absolute error (IAE), integral square error (ISE), integral time absolute error (ITAE), and integral time square error (ITSE) as objective functions. …”
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Long-term forecast of monthly reference evapotranspiration of the period 2018-2027 using SARIMA and GRNN models (case study: Rasht synoptic station) by Pouya Aghelpoor, Vahid Varshavian, Mehraneh Khodamoradpoor

“…Other SARIMA operators, including seasonal and non-seasonal autoregressive, and average seasonal and non-seasonal moving, were selected by trial and error. Optimization of the GRNN model was accomplished by trying and error of the spread parameter. …”
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A newly custom coordinate system used for preoperative planning of robotic-assisted total knee arthroplasty by Hua Qiao, Runzhi Xia, Yongyun Chang, Keyu Kong, Minghao Jin, Zanjing Zhai, Jingwei Zhang, Huiwu Li

“…Results: The mean and standard deviation values for the coronal, sagittal, and transverse plane positioning of the femoral component (absolute value of error) were 0.004° ± 0.020°, 0.006° ± 0.024°, and 0.158° ± 0.186°, respectively. …”
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Translation, cross-cultural adaptation, and psychometric properties of the Finnish version of the Malocclusion Impact Questionnaire (MIQ) by Lucas Arrais Campos, Terhi Kaikkonen, Kaisa Ylitervo, Leena Ylikontiola, Anna-Sofia Silvola

“…MIQ-Fi factor model presented an adequate fit to the data after refinements (CFA: comparative fit index [CFI] = 0.96, Tucker-Lewis index [TLI] = 0.95, standardized root mean square residual [SRMR] = 0.08, exclusion of 4 items and 1 correlation between items error). Convergent validity (AVE = 0.61) and reliability (αordinal and ω ≥ 0.90) were adequate. …”
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Carreau’s Rheological Model and A.N. Tikhonov’s Regularization Method: Parametric Identification Based on a CFD model by Anatoly A. Khvostov, Gazibeg O. Magomedov, Victor I. Ryazhskih, Aleksey V. Kovalev, Aleksey A. Zhuravlev, Magomed G. Magomedov

“…The rheological parameters of Carreau’s model were illustrated by the case of fondant mass. The error for the viscosity prediction did not exceed 14.07%. …”
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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

“…Neural networks and other ML algorithms demonstrate high sensitivity and specificity in distinguishing CD from UC and assessing histological remission. Conclusion. AI is becoming an integral part of IBD diagnostics, enhancing the accuracy of morphological studies, optimizing endoscopic methods, and reducing error rates. …”
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Application value of MRI examination in the diagnosis of complex anal fistula by Wu Ziwei, Sun Xueliang, Fu Zhihui, Ni Zhengxin, Yang Jianhua

“…However, it is noteworthy that there is a degree of error in the diagnosis of the Parks Classification of anal fistula, particularly in the case of suprasphincteric anal fistula.…”
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