Evidence synthesis in neuromyelitis optica spectrum disorders: modeling a clinical trial based on published data by D. G. Tolkacheva, I. V. Fateev, K. V. Sapozhnikov, O. N. Mironenko, A. A. Lazarev, V. D. Batorova, A. A. Porozova, A. V. Zinkina-Orikhan

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Two-Year Post-Market Surveillance of iStent inject® W Combined with Phacoemulsification in Japanese Open-Angle Glaucoma Eyes by Inatani M, Kohama I, Chu A

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Optimizing oil salt analysis in southern Iran: A comprehensive statistical model for ASTM D3230 electrochemical cell device utilizing advanced analytical approaches by M. Shirali, F. Mirhashemi

“…The findings indicate a remarkable accuracy in the structure and properties of the statistical data population, illustrated by a correlation coefficient of R2 = 0.9987 and a low root mean square error (RMSE) of 0.637588. The importance of quality control is further underscored by a one-tailed p-value of 0.4870219 and a critical t-value of 1.6523573. …”
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Cross-cultural adaptation: South African Gestational Diabetes Mellitus Knowledge Questionnaire by Lorisha Manas, Tawanda Chivese, Ankia Coetzee, Magda Conradie, Linzette D. Morris

“…Test–retest reliability found kappa (standard error [s.e.]) values ranged between −0.03 (0.18) and 0.89 (0.13) for the English version, between −0.07 (0.18) and 0.53 (0.13) for the Afrikaans version and between 0.28 (0.18) and 0.87 (0.17) for the isiXhosa version. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…The evaluation performed using R-square and root mean square error to validate the proposed approach revealed values of 0.887 and 0.0091. …”
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Calibration of High-Frequency Reflectivity of Sediments with Different Grain Sizes Using HF-SSBP by Shuai Xiong, Xinghui Cao, Zhiguo Qu, Dapeng Zou, Huancheng Zhen, Tong Zeng

“…This demonstrates the dependability of the HF-SSBP and determines the absolute measurement error of the HF-SSBP. Variations in radiofrequency reflection intensity across different sediment types with different grain sizes in a frequency range of 95–125 kHz were investigated. …”
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Empowering sustainable development: revolutionizing agricultural green total factor productivity through rural digitalization by Fanjun Zeng, Fanjun Zeng, Yingying Zhou, Yingying Zhou, Bin Wei, Bin Wei

“…Specifically, the study conducts benchmark regression analysis, endogeneity tests, robustness tests, mechanism examinations, and heterogeneity tests.Results(1) DRD significantly enhances AGTFP, a conclusion that remains robust following the province-year clustering robust standard error estimates, winsorization tests, and excluding COVID-19-affected years. (2) Mechanistic analysis indicates that DRD primarily boosts AGTFP by promoting the development of digital inclusive finance (DIF) and facilitating the integration of primary, secondary, and tertiary industries (IPST). (3) Heterogeneity tests show that the positive impact of DRD on AGTFP is more pronounced in regions with higher levels of informatization and central regions of China.DiscussionTo harness DRD’s potential more effectively in fostering sustainable agricultural development, policymakers should concentrate on DIF and the IPST. …”
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A stochastic weather generator based framework for generating ensemble sub-monthly precipitation for streamflow prediction by Lu Yang, Jie Chen, Xunchang John Zhang, Lihua Xiong

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The Relationship between Macroeconomic Variables and South African Commercial Bank Performance by Fabian Moodley, Babatunde Lawrence, Surendran Pillay

“…It is further evident that the error correction term exhibited negative and significant coefficients, which indicates a 76.08% imbalance between bank performance and independent variables. …”
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High-Resolution Mapping of Topsoil Sand Content in Planosol Regions Using Temporal and Spectral Feature Optimization by Jiaying Meng, Nanchen Chu, Chong Luo, Huanjun Liu, Xue Li

“…The study first analyzed the prediction performance of single-time-phase images, screened the optimal time-phase (May), and constructed a single-time-phase model, which achieved significant prediction accuracy, with a coefficient of determination (R²) of 0.70 and a root mean square error (RMSE) of 1.26%. Subsequently, the model was further optimized by combining multiple time phases, and the prediction accuracy was improved to R² = 0.77 and the RMSE decreased to 1.10%. …”
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Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass by A.B. Imran, K. Khan, N. Ali, N. Ahmad, A. Ali, K. Shah

“…Accuracy assessment shown the red-edge index has highest R² (0.64) and least error of (31.29 t/ha) and therefore the study concluded that narrowband indices performed better to estimate biomass and thus final model contained only red-edge index to predict biomass over the study area. …”
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Job stress and patient safety culture: a qualitative study among hospital nurses in Palestine by Loai M. Zabin, Jamal Qaddumi, Sajed Faisal Ghawadra, Maher M. Battat

“…Factors such as teamwork, workload, staffing, communication, conflict with colleagues, lack of support, and error reporting significantly influence job stress and patient safety culture. …”
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Biomass distribution law of winter wheat in mining-affected area based on UAV remote sensing by Jing WANG, Wenbing GUO, Zhichao CHEN, Erhu BAI

“…The best model was selected based on the coefficient of determination (R2) and root mean square error (RMSE). The final spatial distribution inversion results of winter wheat biomass in the study area were obtained. …”
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Hydrodynamic simulation experiment of tidal pump in strait waters by W.S. Pranowo, K. Malik, D. Adrianto, A. Kurniawan

“…Model validation was conducted using statistical measures, ensuring strong correlation and minimal error between simulation results and field data.FINDINGS: The study revealed that during high tide, upward currents (upwelling) were observed with speeds ranging from 0.00004 to 0.00016 meters per second, while during low tide, downward currents (downwelling) occurred with speeds between around -0.00004 meters per second. …”
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A model of indoor thermal condition based on traditional acehnese houses using artificial neural network by Muslimsyah, Abdul Munir, Yuwaldi Away, Abdullah, Teuku Yuliar Arif, Andri Novandri

“…In this study, two models were developed, namely MODEL_01, for predicting indoor temperature and humidity, and MODEL_02, for predicting indoor wind speed. In MODEL_01, the error tolerance level obtained is ±1.05, and in MODEL_02, it is ±0.03. …”
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Optimizing base fluid composition for PEMFC cooling: A machine learning approach to balance thermal and rheological performance by Praveen Kumar Kanti, Prashantha Kumar H. G, Nejla Mahjoub Said, V. Vicki Wanatasanappan, Prabhu Paramasivam, Leliso Hobicho Dabelo

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Genetic Evaluation of Reproductive and Productive Traits in Zaraibi Goats Under Tropical Climatic Conditions by Aya Esam Hemada, Heba Abd El-Halim Ahmed, Asmaa Zayed Mohamed, Adel Salah Khattab, Oludayo Michael Akinsola, Thiruvenkadan Aranganoor Kannan

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Calidad postcosecha de genotipos de fresa (Fragaria × ananassa (Duchesne ex Weston) Duchesne ex Rozier) según vernalización by Victoria Rossmary Santacruz-Oviedo, Moises Cabral, Cipriano Ramón Enciso-Garay, Graciela Antonia de Jesús Cabrera-Arredondo

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scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling by Shuo Wang, Yuanning Liu, Hao Zhang, Zhen Liu

“…Our approach can serve as an inspiration for future research on scRNA-Seq analysis methods based on GNNs, holding broad application prospects.…”
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Large-scale inventory in natural forests with mobile LiDAR point clouds by Jinyuan Shao, Yi-Chun Lin, Cameron Wingren, Sang-Yeop Shin, William Fei, Joshua Carpenter, Ayman Habib, Songlin Fei

“…DBH measurement results on trees’ DBH larger than 38.1 cm (15 in) showed that backpack LiDAR was able to achieve 1.82 cm of Root Mean Square Error (RMSE) and UAV LiDAR was able to achieve 3.13 cm of RMSE. …”
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