Aplicando la técnica kriging para modelar parámetros de calidad del agua, sólidos en suspensión TSS y pH en una sección del río Quindío, Colombia by Jorge Mario García Usuga, Mónica Jhoana Mesa Mazo, Carlos Eduardo Cubides Burbano, Cesar Augusto Acosta Minoli, Alejandra María Pulgarín Galvis

“…The Kriging technique was applied to analyze and estimate pH and total suspended solids values ​​at unsampled locations, minimizing errors and allowing cross-validation. Results : The smallest errors were obtained when pH and total suspended solids samples were fitted to a normal distribution, highlighting the effectiveness of Kriging in data with strong positive spatial autocorrelation. …”
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A review of medical malpractice cases involving trainees in the emergency department by Christopher Poyorena, Aimee Anderson, Jordan R. Pollock, James L. Homme, Douglas E. Rappaport, John Shufeldt, Rachel A. Lindor

“…The most common alleged errors included diagnostic (n = 37, 61%), treatment (n = 13, 21%), and procedural errors (n = 19, 16%). …”
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A Preseason Training Program With the Nordic Hamstring Exercise Increases Eccentric Knee Flexor Strength and Fascicle Length in Professional Female Soccer Players by Karoline Baptista Vianna, Lívia Gonçalves Rodrigues, Nathalia Trevisol Oliveira, João Breno Ribeiro-Alvares, Bruno Manfredini Baroni

“…Within-group analysis was performed with paired sample t-tests (pre- vs. post-training), and individual responses were determined using the typical error criteria. # Results The non-trained group’s data demonstrated that measures of strength (ICC=0.82-0.87, typical error = 12-13 N) and fascicle length (ICC=0.92-0.97; typical error = 0.19-0.38 cm) were reliable. …”
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Emmetropia deviation in autorefraction compared to subjective refraction result in patients after corneal refractive surgery by Yuexin Wang, Zesong Wang, Yu Zhang, Yifei Yuan, Yan Liu, Shuo Yu, Ziyuan Liu, Chen Yueguo

“…Abstract Background Automatic refraction is commonly applied as a substitute for subjective refraction to evaluate residue refractive error after corneal refractive surgery. Previous research pooled the data from patients of different subgroups to calculate the difference between automatic and subjective refraction, which lacks clinical implications. …”
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Evaluating the performance of artificial intelligence models for temperature downscaling (Study area: Ardabil province) by Mohammad Hossein Jahangir, Seyed Mohammad Ehsan Azimi

“…To this end, three downscaling models such as Statistical Downscaling Model (SDSM), least squares support vector machine (LS-SVM) and multi-layer perceptron (MLP) were determined for downscaling; and correlation coefficient (CC), Mean Squared Error (MSE), Root Mean Square Error (RMSE), Normalized mean square error (NMSE), Nash-Sutcliffe, Mean Absolute Error (MAE), and Taylor diagram were used to evaluate the efficiency of the models.Results and discussion: The results showed that the MLP obtained the best results based on the average of the stations with the values of (CC=0.85), (NMSE=0.63), (NSH=0.73) and (MAE=0.52), and LS-SVM and SDSM are ranked second and third, respectively. …”
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Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction by Hao Xie, Yingpeng Wang, Tingting Liu, Songhua Yan, Jizhou Zeng, Kuan Zhang

“…Additionally, we have developed a transfer learning method in the inter-subject model, which improved the accuracy of knee torque prediction by transferring the learning knowledge of previous participants to new participants.ResultsOur results showed that the hybrid-CNN model can predict knee joint torque within subjects with a significantly lower error (root mean square error ≤0.16 Nm/kg). A transfer learning technique was adopted in the inter-subject tests to significantly improve the generalizability with a lower error (root mean square error ≤0.14 Nm/kg).ConclusionThe transfer learning-enhanced CNN-GRU-Attention with the NMS model shows great potential in the prediction of knee joint torque.…”
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The effect of pilates training on knee functional tests in youth female volleyball player by Sanaz Rahimi, Ali Asghar Norasteh, Mohamad Mottaghitalab

“…Functional assessments included the Landing Error Scoring System (LESS) and the tuck-jump test, conducted pre- and post-intervention. …”
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Ensemble machine learning prediction model for clinical refraction using partial interferometry measurements in childhood. by Sa Ra Kim, Dong Hyun Kang, Gon Soo Choe, Dae Hee Kim

“…Long eyes showed dampened increase in the myopic refraction per unit axial length.<h4>Conclusions</h4>Refractive errors can be calculated in the childhood using these ensemble models with ocular biometric parameters. …”
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Impact of Emergency Department and Intensive Care Nurses' Working Environments on Patient Safety Attitude by Aygül Kıssal, Emre Dokgöz

“…In institutionally improving nurses' patient safety attitudes, it is important to identify errors that affect patient life, evaluate error-reducing practices, and organize work environments. …”
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Parameterization of user functions in digital signal processing for obtaining angular superresolution by A. A. Shchukin, A. E. Pavlov

“…The results obtained correctly reflect the location of objects with a minor error. Errors in the distribution of the signal amplitude are small, appearing false targets have negligible amplitude.…”
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On the effect of flexible adjustment of the p value significance threshold on the reproducibility of randomized clinical trials. by Farrokh Habibzadeh

“…Recently, a flexible p significance threshold that minimizes the weighted sum of errors in statistical inference tests of hypothesis was proposed.…”
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STRUCTURE AND KINEMATICS OF A MECHANISM WITH STOPS by Liliana LUCA, Iulian POPESCU, Constanța RĂDULESCU

“…The mechanism serves the purpose, the errors being small.…”
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ENFit Transition for Enteral Management in an Acute Care Setting by Janelle Harding

“…# Background Medication errors, particularly those involving enteral devices, have been a persistent challenge in healthcare settings. …”
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Factors for early postoperative cognitive impairment in patients after coronary bypass surgery and carotid endarterectomy by O. V. Maleva, A. S. Sosnina, E. G. Uchasova, S. V. Ivanov, O. A. Trubnikova, O. L. Barbarash

“…Twenty four hours after CABG surgery, the level of S100β protein increased by 9,0% (p=0,001), while regression of S100β protein to the preoperative level was observed 5-7 days after operation.Conclusion. A relationship was found between the CABG factor and the attention level (r=-0,518; p=0,031), functional mobility reaction time (r=0,476; p=0,041), and the number of errors (r=0,449; p=0,032). …”
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Sensorimotor dysfunction and postural instability in older adults with type 2 diabetes mellitus: the role of proprioception and neuropathy by Saleh M. Kardm, Abdulmohsen Saeed Kardm, Ziad Ahmed Alanazi, Hani Hassan Alnakhli, Batool Abdulelah Alkhamis, Ravi Shankar Reddy

“…HbA1c levels were moderately correlated with proprioception errors (r ≈ 0.54) and postural instability (r ≈ 0.65). …”
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Adaptive Integral Sliding Mode Control for Flexible Joint Space Manipulators by QIAO Bing, HUANG Shuai-ming, HUANG Zu-yan

“…For a more comprehensive comparison of control performance, quantitative evaluations of regulation time, root mean square error (RMSE), and steady-state tracking error are conducted. …”
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MATHEMATICAL MODEL OF REIMBURSEMENT DECISION MAKING IN RUSSIA. RESULTS OF VIM LIST FOR 2016 by A. S. Kolbin, A. V. Prasolov, E. A. Maksimkina, Yu. E. Balykina, Z. M. Golant, Yu. S. Polushin, A. A. Kurylev, I. A. Vilyum

“…The model of final decision had an error about 42% (35% in 2014). Conclusion. Linear models are working tools for modelling reimbursement system decisions. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…The predictions were combined and reconstructed, and a BiLSTM-based error correction model further corrected the errors, yielding the final prediction results. …”
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Praxisverwaltungssysteme: Deutschlandweite Ergebnisse zu Usability, Nutzerzufriedenheit und Wechselbereitschaft aus 10.245 Bewertungen by Müller, Doreen, Nieporte, Tobias, Graf von Stillfried, Dominik

“…There are significant differences between practice management systems. PMS error situations and their frequencies are strongly negatively correlated with SUS/NPS and positively correlated with the willingness to switch.Conclusion: The results highlight the importance of user-friendly, satisfactory practice management systems. …”
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A cross-sectional study on the evaluation of laboratory analytical quality performance in a tertiary medical college in Eastern India by Sayani Chaudhuri

“…The quality goal index (QGI) is measured for analytes with Sigma metric value <3. The total analytical error observed is compared with the established total allowable error (TEa) guidelines. …”
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