An improved method for predicting the permeability of Chang 7 shale oil reservoirs based on lithology and hydraulic flow units by Heting Gao, Yanze Sun, Hui Zhao, Fei Zhou, Weichao Tian, Zhigang Wen, Yunpeng Fan, Xiaoyu Chen

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Eddy-induced underwater acoustic field reconstruction and computation based on sound speed classification and B-spline surface fitting by Luochuan Xu, Jian Xu, Xuegang Zhang, Anmin Zhang, Yi Liu, Dan Chen, Linglong Chen, Zhongpeng Wu

“…The results show that this approach reduces computational time and resource consumption by more than 30%, while maintaining a mean transmission loss error of only 1.2 dB over a 20 km range. This work represents an effective integration of acoustic sensing, machine learning, and FEM simulation in oceanographic research, offering a practical and efficient solution for studying subsurface phenomena in ice-covered regions.…”
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Deep learning for predicting porosity in ultra-deep fractured vuggy reservoirs from the Shunbei oilfield in Tarim Basin, China by Ziyan Deng, Dongsheng Zhou, Hezheng Dong, Xiaowei Huang, Shiping Wei, Zhijiang Kang

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Repeatability, reliability, and stability of eye movement measurements in Parkinson’s disease, cerebellar ataxia, and healthy adults by Solveig E. J. Dalbro, Solveig E. J. Dalbro, Ahmed Elsais, Siri Lynne Rydning, Mathias Toft, Mathias Toft, Emilia Kerty, Emilia Kerty, Stig E. Larsen

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Individualized transcranial direct current stimulation combined with foot core exercise improves foot and ankle sensorimotor function and static postural control in individuals wit... by Chuyi Zhang, Songlin Xiao, Bin Shen, Zhen Xu, Jianglong Zhan, Jingjing Li, Junhong Zhou, Weijie Fu

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Enabling data‐driven collaborative and reproducible environmental synthesis science by Julien Brun, Nicholas J. Lyon, Angel Chen, Ingrid Slette, Gabriel De La Rosa, Jennifer E. Caselle, Frank W. Davis, Martha R. Downs

“…Here we share our experiences in enabling researchers to do science more collaboratively and more reproducibly beyond any specific project, with long‐lasting effects on the way researchers conduct science. …”
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Investigating the biodiversity conservation capability of technological innovation and FinTech by Shayan Khan Kakar, Jing Wang, Noman Arshed, Tran Thi Le Hien, Nazir Muhammad Abdullahi

“…We provide the policy implications of our research.…”
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Formulation and prototype development of an emergency ration with long shelf life and evaluation of its sensory and microbial characteristics by Arasb Dabbagh Moghaddam, Afshin Akhondzadeh Basti, Seyed Ali Keshavarz, Abolfazl Kamkar, Anousheh Sharifan, Ali Misaghi, Taghi Zahraie Salehi, Seyed Abolghasem Jazayeri

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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Conventional Schizophrenia diagnosis techniques are time- consuming and prone to error. The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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Numerical simulation of unsteady airflow organization and cold island effect in air source heat pump unit by Jiashuo Zhou, Ronghua Wu, Hao Yu, Jiyou Lin, Hao Zhan, Shunjie Liu, Zhibin Wang

“…The findings reveal a maximum relative error of 14.5 % between the simulated and experimental COP results. …”
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Performance of STAR-RIS-Aided RSMA Networks: Impact of Correlated Fading Channels and SIC Imperfections by Eduardo Goncalves Gomes, Henry Ramiro Carvajal Mora, Edgar Eduardo Benitez Olivo

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Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets by Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan

“…The datasets, sourced from the UCI repository, were pre-processed and evaluated using metrics such as accuracy, precision, F1-score, log loss, and error rate, with performance further assessed using confusion matrices. …”
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Enhanced nonlinear equalization for OFDM systems in IoT-based intelligent transportation using CGLS algorithms by Jafar Ababneh, Hani Attar, Zakaria Che Muda, Ilhami Colak, Mohanad A. Deif, Samir Bendoukha, Ahmed Solyman

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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

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Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting by Isidro Fraga-Hurtado, Julio Rafael Gómez-Sarduy, Zaid García-Sánchez, Hernán Hernández-Herrera, Jorge Iván Silva-Ortega, Roy Reyes-Calvo

“…Among the models, multivariate BiLSTM showed superior performance, achieving a lower root-mean-square error (RMSE) and higher correlation coefficients. …”
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Temperature rise of high-speed bearing in gearbox of 5 MW wind turbine based on Bayesian-LightGBM and improved PSO-SVM troubleshooting by Minan Tang, Zhanglong Tao, Jiandong Qiu, Jinping Li, Mingyu Wang, Hongjie Wang, Chuntao Rao

“…The results show that the model established in this paper is effective, the prediction results are accurate and the performance is stable, and then compared with the algorithms such as PSO-SVM, SVM, BP, etc, the coefficient of determination of the algorithm is greater than 0.994 in both the training set and the test set, and the average decision percentage error is around 1.88% in both.…”
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Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights by V. S. Shaisundaram, P. V. Elumalai, S. Padmanabhan, U. Nalini Ramachandran, Abhishek Kumar Tripathi, Cui Yaping, B. Nagaraj Goud, S. Prabhakar

“…Abstract Biodiesel presents a favourable economic outlook and environmental benefits, yet it faces limitations such as diminished calorific value and suboptimal combustion characteristics. Recent research focuses on enhancing biodiesel performance using nanoparticles and thermal barrier coatings. …”
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Segmentation and Fractional Coverage Estimation of Soil, Illuminated Vegetation, and Shaded Vegetation in Corn Canopy Images Using CCSNet and UAV Remote Sensing by Shanxin Zhang, Jibo Yue, Xiaoyan Wang, Haikuan Feng, Yang Liu, Meiyan Shu

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Improving Face Presentation Attack Detection Through Deformable Convolution and Transfer Learning by Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Shujaat Khan, Young-Woong Ko, Jeong-Gun Lee

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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

“…Compared with the basic model, the drag reduction rate is 28%, and the coefficient of drag is simulated. The error between the value and the test value is within 1%.…”
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