The Translation of Ὑποκριτης in the Gospels as Osatotsε in Dangme Bible Translations by Ebenezer Quaye, Jonathan Edward Tetteh Kuwornu-Adjaottor

“…This work seeks to redefine the meaning of ὑποκριτης in Dangme translations although osatotsε, to a large extent but not absolutely, fits the contexts in which it is used in biblical texts, especially, in the gospels. …”
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Thromboelastography parameters in chronic viral liver disease and liver resection: a retrospective study by Ying Di, Jialu Li, Chunjuan Ye, Zheng Wang, Qianqian Zhu

“…After multivariable adjustment (including age, sex, liver disease aetiology, alanine aminotransferase [ALT], aspartate aminotransferase [AST], albumin, total bilirubin, haemoglobin and platelet count), TEG parameters (except R-times) were either weakly or inversely related to the severity of liver disease as defined by the MELD score (absolute r < 0.2 and P < 0.05 for all except R-times). …”
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ABOUT THE SOURCE OF THE KURSK MAGNETIC ANOMALY by V.V. Gordienko, V.M. Tarasov

“…The point is that the use for interpretation, which assumes absolute values, requires introducing the magnetization value of the source substance. …”
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Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning by Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi

“…A comparison of the RSM, MLP, and RBF models, using the average absolute relative deviation, indicated that the ANN models, particularly the RBF model, produced more accurate predictions than the RSM model. …”
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Examining different approaches for short-term load demand forecasting in microgrid management: a case study of a university in Nigeria by Barnabas Iliya Gwaivangmin

“…Leveraging 6 years of historical load data from the Jos Electricity Distribution Company (JEDC) and weather data from the Nigerian Meteorological Agency (NIMET), the research demonstrated that both RG and ARIMA outperformed SVM, exhibiting lower Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) values. Specifically, RG recorded an RMSE of 256.414 (representing a reduction of 11.1% compared to SVM), MSE of 65,748.170 (a decrease of 8.9% compared to SVM), and MAPE of 37.730 (a decrease of 12.0% compared to SVM), while ARIMA displayed an RMSE of 215.820 (a decrease of 20.5% compared to SVM), MSE of 46,580.220 (a decrease of 21.4% compared to SVM), and MAPE of 30.210 (a decrease of 32.9% compared to SVM). …”
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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

“…Results: The smartphone-based PPG algorithm provides reasonably accurate estimations of pulse rate when compared to traditional pulse oximeters under varied healthcare settings (mean absolute error < 5, intraclass correlation coefficient > 0.90). …”
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Healthcare Resource Utilization Associated with Leukopenia and Neutropenia in Kidney Transplant Recipients Receiving Valganciclovir in the United States by Qinghua Li, Vladimir Turzhitsky, Pamela Moise, Harry Jin, Kaylen Brzozowski, Irina Kolobova

“…PTN/PTL was defined as absolute neutrophil count less than 1000/μL or white blood cell count less than 3500/μL. …”
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The Effect of Force Application on the Stability of Mini-Screw in Different Insertion Angles (An in-vitro Study). by Lazha Latif Binyamen, Zana Qadir Omer

“… Background and Objective: The stability of the mini-screw is an important factor for the success of orthodontic treatment using an absolute anchorage system. This study aims to evaluate the ideal insertion angle of a mini-implant in relation to force direction and to evaluate the maximum amount of force application at a specific angular configuration. …”
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A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits. by Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas

“…We used correlation coefficients and median absolute error to assess fit between predicted and observed measures, as well as agreement between duplicates. …”
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Microclimates growing and watering volumes influences the physiological traits of chili pepper cultivars in combating abiotic stress by Farhan Ahmad, Kusumiyati Kusumiyati, Mochamad Arief Soleh, Muhammad Rabnawaz Khan, Ristina Siti Sundari

“…According to statistical analyses, cultivars did not significantly affect absolute growth rate (AGR), but growing microclimates and watering volumes did significantly affect AGR and water use efficiency (WUE). …”
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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

“…The results show that the model achieved a coefficient of correlation, root mean square error and average absolute percentage error values of 0.94, 130 and 4.2% respectively. …”
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Performance of Household Water Treatment Methods for Microbial Removal under Household Conditions in Kabale District, Uganda by Alex, Saturday, George Lukoye Makokha, Anthony Macharia

“…Despite the Ugandan government efforts to improve access to safe water sources, the rate at which diseases spread as a result of unsafe drinking water is absolutely high. The purpose the study was to assess the performance of household water treatment methods (HWT) and evaluate their ability to improve the microbial quality of drinking water under household conditions in Kabale District. …”
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Exploring the prognostic role of microbial and genetic markers in lung squamous cell carcinoma by Fan Yang, Xiaodong Jia, Zihuan Ma, Siyao Liu, Chunzi Liu, Dan Chen, Xiuju Wang, Niansong Qian, Hui Ma

“…A microbiome-based risk score (RS) model was constructed by univariate Cox regression analysis combined with the least absolute contraction and selection operator (LASSO) regression. 18 microbial genera were found to be significantly associated with RFS in LUSC patients. …”
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Discrimination and calibration performances of non-laboratory-based and laboratory-based cardiovascular risk predictions: a systematic review by Yihun Mulugeta Alemu, Sisay Mulugeta Alemu, Dan Chateau, Nasser Bagheri, Kinley Wangdi

“…Median c-statistics were 0.74 for both models (IQR: lab 0.77–0.72; non-lab 0.76–0.70), with a median absolute difference of 0.01. Calibration measures between laboratory-based and non-laboratory-based equations were similar, although non-calibrated equations often overestimated risk.Conclusion The discrimination and calibration measures between laboratory-based and non-laboratory-based models show minimal differences, demonstrating the insensitivity of c-statistics and calibration metrics to the inclusion of additional predictors. …”
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Prediction models for cognitive impairment in middle-aged patients with cerebral small vessel disease by Wei Zheng, Xiaoyan Qin, Ronghua Mu, Peng Yang, Bingqin Huang, Bingqin Huang, Zhixuan Song, Xiqi Zhu, Xiqi Zhu

“…Features were extracted for each subject, and the least absolute shrinkage and selection operator (LASSO) method was used to select radiomic features. …”
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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

“…It was considered that the imperfection of the measurement procedure caused variability in the obtained data at the level of 15% of their absolute value. Less than 20% of the data from the collection was used to train the corresponding entropy-extreme model. …”
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Circadian rhythm related genes signature in glioma for drug resistance prediction: a comprehensive analysis integrating transcriptomics and machine learning by Junbo Liao, Yingxing Duan, Xiangwang Xu, Yaxue Liu, Chaohong Zhan, Gelei Xiao

“…Methods Circadian rhythm-related genes (CRRGs) were identified using the least absolute shrinkage and selection operator (LASSO) regression, and stochastic gradient descent (SGD) was performed to form a circadian rhythm-related score (CRRS) model. …”
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A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta by Nurtiti Sunusi, Ankaz As Sikib, Sumanta Pasari

“…Forecasting accuracy results for SO₂ and CO in Jakarta, based on Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), showed excellent performance, underscoring the efficacy of the CLARA-FTSMC hybrid approach in predicting air pollution levels. • The CLARA-FTSMC hybrid method demonstrates high effectiveness in analyzing large datasets, addressing the limitations of previous hybrid clustering fuzzy time series methods. • The number of fuzzy time series partitions is optimally determined based on clustering results obtained through the gap statistic approach, ensuring robust partitioning. • The forecasting accuracy of the CLARA-FTSMC hybrid method, evaluated using MAE and RMSE, showed excellent performance in predicting daily air pollution levels of SO₂ and CO in Jakarta.…”
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AN EXAMINATION OF CONJUGATIONAL SUFFIXES OF PASSIVE CONSTRUCTIONS IN FULFULDE by YAHAYA MOHAMMED AHMED

“…Base on this, the study discovered -ake, -aaki/kim, -oto and -ataako for affirmative and negative absolute/thoroughness of passive verbs in this category. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…The results show that, compared to other predictive models, the proposed model achieves reductions in Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) to 0.0002, 0.0159, and 0.0126, respectively, with the coefficient of determination (R2) increasing to 0.981. …”
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