Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates—results from a prospective multi-center study by Britta Steffens, Britta Steffens, Gilbert Koch, Gilbert Koch, Corinna Engel, Axel R. Franz, Marc Pfister, Marc Pfister, Marc Pfister, Sven Wellmann, Sven Wellmann

“…For assessment of accuracy, two validation metrics, absolute prediction error (aPE) and relative prediction error (rPE), and two clinical acceptance conditions, margin of error of the 95%-confidence interval (95%-CI) and percentage of clinically relevant mis-predictions defined as aPE>85μmol/L, were investigated.ResultsOut of 455 enrolled neonates, 276 neonates met bilirubin inclusion criteria and were included in the analyses. …”
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Assessment of cardiometabolic age and aging rate in individuals with type 2 diabetes by A.V. Pysaruk, Ya.A. Saenko, B.M. Mankovsky

“…Calculation of BA in practically healthy individuals using our formula showed that the average absolute error of calculation was 7.79 ± 0.49 years. Correction of the systematic error of the regression method significantly increased the accuracy of BA calculation (R2 = 0.78; p < 0.00001; age calculation error was 4.80 ± 0.32 years). …”
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Application of sensitive quality indicators of assembly for medical instruments in quality management of Central Sterile Supply Department (器械装配质量敏感指标在消毒供应中心质量管理中的应用)... by ZHANG Ying (张颖), ZHANG Xiaorong (张晓蓉), CAO Lixia (曹丽霞)

“…Results The error rate of assembly dropped from 0. 020% to 0. 006%. …”
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Implementation and evaluation of whole-course-based Internet Hospital Outpatient Pharmacy Services: a cross-sectional study in western China by Yangyang Gao, You Lv, Shiyan Wang, Mengran Guo, Yi Guo, Minglin Zheng, Lulu He, Fengbo Wu, Ping Fan

“…These included information on patients, prescriptions, and deliveries; error rates for prescription reviews and medication dispensations; economic value; and degree of patient satisfaction. …”
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The Effect of Surgical Treatment of Horizontal Strabismus on Refractive Changes in Adult Patients by M. G. Kataev, M. A. Zakharova, I. Yu. Trofimova

“…These changes were not statistically or clinically significant.Conclusion. In general, the refractive and astigmatic status does not change after surgical treatment of horizontal strabismus. …”
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DETERMINAN NILAI PERUSAHAAN (STUDI PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2015-2019) by Dwi Epty Hidayaty, Wike Pertiwi

“…Hasil penelitian didapatkan pada uji asumsi diketahui bahwa error term sudah memenuhi asumsi normal dan tidak terdapat multikolinearitas dan heteroskedastisitas. …”
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Prediction and analysis of toxic and side effects of tigecycline based on deep learning by Yin Xiong, Guoxin Liu, Xin Tang, Boyang Xia, Yalian Yu, Guangjun Fan

“…Based on these results, the length of hospital stay was predicted by the deep learning prediction model with an error within 1 day.ConclusionIn this study, the hospitalization days of infected patients were predicted by deep learning model with low error. …”
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Transformación de los hábitos de práctica de actividad física y deporte de la población mayor de 65 años en Gipuzkoa(The change in the sports and physical activities habits of over... by Juan Aldaz, Silvia Arribas, Lorena Gil de Montes, Izaskun Luis de Cos

“…This fact draws us to the conclusion that a re-think in terms of state promoted activities and models for the over-65s (PAFYD), in particular, and for the adult population, in general, is necessary.  …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…These models were trained using the repeated tenfold cross-validation method and evaluated based on root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2). …”
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Impact of early vs. delayed physical therapy on functional recovery, proprioception, and return to sport after anterior cruciate ligament (ACL) reconstruction: a cross-sectional st... by Turki Ahmed Alqahtani, Saleh M. Kardm, Hani Hassan Alnakhli, Faisal M Alyazedi, Praveen Kumar Kandakurti, Ravi Shankar Reddy

“…The proprioceptive function was superior in early PT, with lower JPS error (p < 0.001), higher Y-Balance scores (p = 0.001), and greater postural stability (p < 0.001). …”
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Estimation of cancer incidence in the male population of the Altai Krai affected by the Semipalatinsk nuclear test by A. O. Kovrigin, V. A. Lubennikov, I. B. Kolyado, I. V. Vikhlyanov, A. F. Lazarev, Ya. N. Shoikhet

“…The incidence rate of person-time (ptR) in the main cohort was 2 032.22 × 105 person-years, with mptR equal to 110.21 and confidence intervals (95 % ci) – (1 811.80–2 252.64). in the control cohort, the corresponding values were: ptR – 952.94 × 105 person-years with mptR – 55,67 and 95 % ci (841.60–1 064.28). the most common cancer localizations in men of the main cohort were: digestive organs (c15-c26), respiratory and chest organs (c30-c39), skin (c43-c44), male genitals (c60-c63). in the control group, the most common localizations were respiratory and chest organs (c30-c39), digestive organs (c15-c26), male genital organs (c60-c63) and skin (c43-c44). Conclusion. an increased relative risk of developing malignant neoplasms in men born and living in the altai territory during the first nuclear test conducted at the semipalatinsk test site was revealed (RR=2.133; 95 % ci 1.824–2.493) with standard error of relative risk (s) equal to 0.0797. there were differences in cancer localization between the main and the control cohorts.…”
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DETERMINAN NILAI PERUSAHAAN (STUDI PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2015-2019) by Dwi Epty Hidayaty, Wike Pertiwi

“…Hasil penelitian didapatkan pada uji asumsi diketahui bahwa error term sudah memenuhi asumsi normal dan tidak terdapat multikolinearitas dan heteroskedastisitas. …”
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Comparative analysis of the refractive and functional results of toric intraocular lens with wavefront-shaping mechanism implantation during the surgical treatment of cataracts i... by D.A. Khvan, G.A. Fedyashev

“…Conclusion. AcrySof IQ Vivity Toric IOL implantation during the cataract surgical treatment in patients with previous keratoplasty allows to obtain significantly higher postoperative UCVA, due to more accurate access to target refraction, which confirmed by a significantly lower spherical equivalent error.…”
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Multicenter Evaluation of Machine-Learning Continuous Pulse Rate Algorithm on Wrist-Worn Device by Weixuan Chen, Rafael Cordero, Jessie Lever Taylor, Domenico R. Pangallo, Rosalind W. Picard, Marisa Cruz, Giulia Regalia

“…The primary acceptance threshold was an accuracy root-mean-square (ARMS) ≤3 beats per minute (bpm) or 5 bpm under no-motion and motion conditions, respectively. Bias, mean absolute error (MAE), mean absolute percentage error (MAPE), limits of agreement (LoA), and Pearson and Lin’s concordance correlation coefficients (⍴ and CCC) were also computed. …”
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Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tom... by Seyed Salman Zakariaee, Negar Naderi, Hadi Kazemi-Arpanahi

“…Results showed that with a correlation coefficient of 0.42, a mean absolute error of 2.01, and a root mean squared error of 4.11, the RF algorithm with a correlation coefficient of 0.42, mean absolute error of 2.01, and root mean squared error of 4.11demonstrated the best performance in predicting the ICU LOS of COVID-19 patients. …”
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Time Series Modelling of the Caspian Kutum (Rutilus frisii) Catch Using SARIMA Model by Fateh Moezzi, Hadi Poorbagher, Soheil Eagderi, Jahangir Feghhi

“…The performance and predictive ability of the models were assessed using aset of indices, including Akaike’s information criteria (AIC), Bayesian information criterion(BIC), root mean squared error (RMSE), normalized root mean squared error (nRMSE), meanabsolute error (MAE), normalized mean absolute error (nMAE) and the Pearson correlationcoefficient (r). …”
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Mathematical analysis of Prandtl number with Artificial neural network and fractional operator for nanofluid flow by Muhammad Ramzan, Ahmad Shafique, Shajar Abbas, Rifaqat Ali, Tarik Lamoudan, Rashid Jan, Muyassar Norberdiyeva, Bakhora Turabova, Hakim AL Garalleh

“…The model’s ability to accurately depict the flow dynamics is confirmed by the numerical and graphical examination. Conclusion:: The study demonstrates the effectiveness of fractional derivatives in modeling complex fluid flow. …”
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Emerging role of generative AI in renewable energy forecasting and system optimization by Erdiwansyah, Rizalman Mamat, Syafrizal, Mohd Fairusham Ghazali, Firdaus Basrawi, S.M. Rosdi

“…Results indicate that GAN-based models reduce root mean square error (RMSE) by 15–20 % in solar irradiance forecasting and significantly enhance spatial-temporal wind simulations. …”
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Reliability of a Test for Assessment of Isometric Trunk Muscle Strength in Elderly Women by Marceli M. A. Mesquita, Marta S. Santos, Alan B. S. Vasconcelos, Clodoaldo A. de Sá, Luana C. D. Pereira, Ínea B. M. da Silva-Santos, Walderi M. da Silva Junior, Dihogo G. de Matos, Alan dos S. Fontes, Paulo M. P. Oliveira, Felipe J. Aidar, Josimari M. DeSantana, Iohanna G. S. Fernandes, Marzo E. Da Silva-Grigoletto

“…To verify the reliability of the test, the interclass correlation coefficient, variation coefficient, minimum detectable difference (MDD), standard error of measurement, and Bland–Altman graphs were calculated. …”
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Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection by Xiuhao Liang, Jun Xiang, Sheng Qin, Yundan Xiao, Lifen Chen, Dongxia Zou, Honglun Ma, Dong Huang, Yongxin Huang, Wei Wei

“…The experimental results show that the SAHI-Improved-YOLOv8 model outperforms YOLOv3, YOLOv5, YOLOv8, YOLOv10, YOLOv11 and SAHI-YOLOv8 with a Precision of 85.17 %, a Recall of 85.07 %, a AP50–90 of 78.63 % and a F1 score of 85.12 %. In conclusion, the SAHI-Improved-YOLOv8 has the capability of efficiently processing high-resolution images, which alleviates the problems of high density of small targets, false detections, missed detections, and high localization error. …”
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