A PBPK modeling approach for personalized dose optimization of nicardipine in renal and hepatic dysfunction by Ammara Ayub, Ammara Zamir, Muhammad Fawad Rasool, Usman Arshad, Faleh Alqahtani

“…The precision of the model was then evaluated through visual predictive checks, mean observed–predicted ratios, and average fold error across relevant PK parameters, which adhered to the predefined 2-fold threshold. …”
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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

“…Advances in computer vision technology have driven the research on vision-based structural vibration analysis and damage identification. …”
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Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning by Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy

“…For the optimal model, the GGO-optimized MLP significantly outperformed baseline models and other optimization techniques, having minimum error metrics such as correlation coefficient and RMSE and an MSE of $$4.72 \times 10^{-7}$$ . …”
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Detection of external defects of tomato crop using appearance parameters by convolutional neural networks by Nima Noorali, Ali Rajabipour, Hamed Sardari, Soleiman Hosseinpour

“…Training the YOLOv7 model necessitated 11 minutes and 60 epochs, culminating in an error rating of 0.017 with satisfactory outcomes. …”
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Numerical Modeling of Renal Ionic Equilibrium for Implantable Kidney Applications by Saleh Massoud, Ayham Darwich, Ebrahim Ismaiel

“…This study introduces a new numerical model based on previous research discussing the variations in the concentrations of sodium, potassium, and urea in the extracellular area in the blood during hemodialysis. …”
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Advanced Geo-Data Analytics and AI for 3D Flood Mapping to Protect Built Assets by J. Blay, L. Hashemi-Beni

“…The pretrained UNET model utilized, achieved high accuracy in mapping flood extent, with a 93% accuracy, while floodwater depth estimates yielded a root mean square error (RMSE) of 0.75, reflecting a deviation of approximately 1ft from field measurements. …”
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Effects of Water/CO2 on the Shear Mechanical Properties of Straight Jointed Sandstone by LI Guobin, SHEN Yongxing, FENG Zengchao

“…[Conclusions] This research work is of great significance for predicting the shear strength of sandstone after water/CO2 injection, optimizing the construction scheme, and improving the construction safety.…”
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Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting by Hyun-Jung Bae, Jong-Seong Park, Ji-hyeok Choi, Hyuk-Yoon Kwon

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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions by Shehu Mohammed, Neha Malhotra

“…AI liability is another one of the gray areas approaching black, worrying about who is liable for an AI medical error — the developers, the physicians, or the institutions. …”
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Optimization of Technological Parameters for Cold Spraying Using the Response Surface Method by Wenjie Hu, Oleksandr Shorinov

“…Currently, most of the research in cold spraying is based on a single-factor analysis to explore the law. …”
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A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network by Xiao Chen, Lei Cao, Zhi Cao, HongWei Zhang

“…Experimental results, gauged by mean error, underscore the superiority of the Ca-LSTM model over other time series prediction models and conventional long short-term memory approaches. …”
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SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data by Yuhan Liu, Yuanyuan Zha, Gulin Ran, Yonggen Zhang, Liangsheng Shi

“…SMRFR achieved an unbiased root mean square error of 0.0339 m3/m3 on the validation set. Our novel SM dataset offers a basis and valuable reference for agricultural, hydrological, and ecological research, enabling improved analysis and modelling of SM dynamics at regional to global scales.…”
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Forecasting Area, Production and Productivity of Vegetable Crops in Nepal using the Box-Jenkins ARIMA Model by Rabin Thapa, Shivahari Devkota, Sandip Subedi, Babak Jamshidi

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Skin conditions associated with dermal exposure to oil spill chemicals among Deepwater Horizon disaster response and cleanup workers by Dazhe Chen, Kaitlyn G. Lawrence, Patricia A. Stewart, Melanie Gorman Ng, Mark R. Stenzel, John W. Cherrie, Kate E. Christenbury, W. Braxton Jackson II, Lawrence S. Engel, Dale P. Sandler

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A comparative analysis of five land surface temperature downscaling methods in plateau mountainous areas by Ju Wang, Ju Wang, Ju Wang, Bo-Hui Tang, Bo-Hui Tang, Bo-Hui Tang, Bo-Hui Tang, Xinming Zhu, Xinming Zhu, Xinming Zhu, Dong Fan, Dong Fan, Dong Fan, Menghua Li, Menghua Li, Menghua Li, Junyi Chen, Junyi Chen, Junyi Chen

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A longitudinal macro analysis of social determinants of health and their impacts on HIV prevalence and nutritional deficiencies in Sub-Saharan Africa by Mzolisi Abednigo Payi, Dominic Abaver, Teke Apalata

“…Despite significant micro-study research, macro-level, longitudinal patterns and causal dynamics remain underexplored. …”
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Digital transformation in agricultural circulation: enhancing rural modernization and sustainability through technological innovation by Hengli Wang, Lili Zhang, Zhongyin An

“…The entropy weight method and a spatial error model are applied to capture both direct and indirect effects.ResultsThe findings reveal that digitalization significantly enhances rural agricultural modernization (RAM), particularly in technologically advanced regions, with strong spatial spillover effects benefiting neighboring areas. …”
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Frequency Characteristics Analysis of Wind–Storage Joint Frequency Regulation System Taking Into Account the State of Storage Battery by Qihui Yu, Yuhui Li, Jianlong Zhang, Ripeng Qin, Xueqing Hao, Guoxin Sun

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Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

“…Abstract The obstacle avoidance path planning for robots has become a critical research focus, especially in the context of addressing complex tasks in dynamic, unstructured environments where unpredictable obstacles and varying conditions present significant challenges. …”
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Computational fluid dynamics analysis and machine learning study of heat transfer in solar air heaters with distinct ribs configuration by Eid S. Alatawi

“…Critically, the developed Convolutional Neural Network (CNN) model significantly outperformed Random Forest Regression and Support Vector Regression, achieving a Mean Square Error (MSE) of 0.004 and an R2 value of 0.96 in predicting heat transfer coefficients. …”
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