Assessing low free gas saturation via acoustic velocity in porous media by Rengang Shi, Rengang Shi, Jianwu Wang, Zhoutuo Wei, Zhoutuo Wei, Xinmin Ge, Xinmin Ge, Lei Xing, Lei Xing, Junfeng Zhao

“…The new model accurately reflects the rapid decline of P-wave velocity with increasing gas content in the 0–2% saturation range, reducing velocity prediction error from 55.7% (typical of traditional approaches) to just 5.27%. …”
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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…Objective With the increasing demand for improved assembly performance, conducting assembly performance analysis based on measured data has become increasingly important. …”
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Prevalence and correlates of microalbuminuria in high-risk persons with hypertension, diabetes, or HIV at a tertiary hospital in Zambia. by Luyando Mutelo, Cornelius Simutanda, Lweendo Muchaili, Bislom C Mweene, Situmbeko Liweleya, Sydney Mulamfu, Gift C Chama, Lukundo Siame, Benson M Hamooya, Sepiso K Masenga

“…Data were collected directly from participants as well as using hospital records and laboratory analysis of blood/urine samples. …”
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PCA Weight Determination-Based InSAR Baseline Optimization Method: A Case Study of the HaiKou Phosphate Mining Area in Kunming, Yunnan Province, China by Weimeng Xu, Jingchun Zhou, Jinliang Wang, Huihui Mei, Xianjun Ou, Baixuan Li

“…The minimum value decreases to 0.248 rad, while the mean and standard deviation are reduced to 1.589 rad and 0.797 rad, respectively, effectively suppressing error fluctuations and enhancing the stability of the inversion; (2) through comparative analysis of the effective pixel ratio and standard deviation of deformation rates, as well as a comprehensive evaluation of the deformation rate probability density function (PDF) distribution, the PCA optimization method maintains a high effective pixel ratio while enhancing sensitivity to surface deformation changes, indicating its advantage in deformation monitoring in complex terrain areas; (3) the combined analysis of spatial autocorrelation (Moran’s I coefficient) and spatial correlation coefficients (Pearson and Spearman) verified the advantages of the PCA optimization method in maintaining spatial structure and result consistency, supporting its ability to achieve higher accuracy and stability in complex surface deformation monitoring. …”
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Investigation of DC-Biased Optical OFDM With Precoding Matrix for Visible Light Communications: Theory, Simulations, and Experiments by Tao Jiang, Ming Tang, Rui Lin, Zhenhua Feng, Xi Chen, Lei Deng, Songnian Fu, Xiang Li, Wu Liu, Deming Liu

“…The simulation and experiment results are consistent with our theoretical analysis.…”
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A FastSurfer Database for Age‐Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients by Ibrahim Zughayyar, Martin Bauer, Christopher Güttler, Ana Luisa de Almeida Marcelino, Fabienne Kühne, Claudia Buss, Christine Heim, Annette Aigner, Anna Tietze, Andrea Dell'Orco

“…ABSTRACT Purpose MRI‐based whole‐brain manual segmentation methods are considered the gold standard for brain volumetric analysis, but are time‐consuming and prone to human error. …”
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Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness by Ali Omidkar, Razieh Es’haghian, Hua Song

“…This study endeavors to address this critical knowledge gap by conducting an in-depth analysis of global biomass road transport data to meticulously identify the key parameters that exert a significant influence on transportation costs. …”
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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

“…Researchers often rely on trial-and-error approaches to enhance membrane hemocompatibility by reducing these interactions. …”
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Lifestyle Profile Scale for Gravida with Urinary Incontinence: scale development and psychometric testing in Chinese Mainland by Hongyan Wang, Ping Xu, Ping-ping Guo, Xiaojuan Wang, Minna Mao, Suwen Feng

“…The seven-factor model, which accounted for 63.667% of the total item variance, demonstrated a good fit with the data (χ2/df =1.672, root mean square error of approximation=0.053, goodness of fit=0.884).Conclusions The LPG-UI has sufficient validity and reliability for assessing the lifestyle status of pregnant women with UI.…”
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Relative improvements between roads and railways and transport carbon dioxide emissions: An environmental Kuznets curve hypothesis test in China by Wang Peng, Yu Xiaoyuan, Nuzul Azam Haron

“…Diagnostic tests and stability analysis ensure the reliability of the model results. …”
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Immunological aspects of the lethal HIV / COVID-19 coinfected cohort by A. I. Mazus, E. V. Tsyganova, A. S. Zhilenkova, N. V. Glukhoedova, M. D. Geyne, Yu. A. Anikina, Yu. G. Parkhomenko, N. V. Mozgaleva, P. A. Vedyapin, O. A. Tishkevich

“…Standard immunological parameters were analyzed like CD4+, CD8+ counts and immunoregulatory index for different patient’s subgroups. Statistical data processing was provided by SPSS 17 version (allowable error E = 5 %).   …”
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Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat by Sehijpreet Kaur, Vijaya Gopal Kakani, Brett Carver, Diego Jarquin, Aditya Singh

“…The hyperspectral image processing pipeline utilized for image analysis was described. The study was conducted with 2145 genotypes of winter wheat, and UAV‐based hyperspectral measurements were used to predict the phenotype. …”
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Modeling Energy Communities: A Case Study of Quantum Approximate Optimization on a Superconducting Processor by Mateo Alonso, Guillermo Rubinos Rodriguez, Pablo Diez-Valle, Ana Garbayo, Xela Garcia-Santiago, Gonzalo Blazquez Gil

“…This work explores the use of variational quantum algorithms to optimize energy distribution among users in energy communities, using real data from a community lab. This requires integrating various energy sources, storage solutions, and the ability to respond to variations in demand within energy systems, while maintaining the capacity to adapt to the variability of renewable energy sources. …”
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Experimental and Numerical Study of a UAV Propeller Printed in Clear Resin by Mingtai Chen, Jacob Wimsatt, Tianming Liu, Tiegang Fang

“…Propeller thrust and torque were measured using a six-degree-of-freedom load cell, while acoustic data were captured with a microphone positioned three times the propeller diameter from the center. …”
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A Method for Assessing the Lake Trophic Status Using Hyperspectral Reflectance (400–900 nm) Measured Above Water by Nguyen Thi Thu Ha, Pham Quang Vinh, Nguyen Thien Phuong Thao, Pham Ha Linh, Michael Parsons, Nguyen Van Manh

“…This study conducts a comprehensive analysis of in situ hyperspectral reflectance data (400–900 nm) and the trophic state index (TSI) obtained from 365 points across ten lakes and reservoirs in Northern Vietnam to propose a trophic classification based on water reflectance spectra features and a TSI estimation model for diagnosis and assessment of lake trophic status. …”
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Do community level interventions work in the same way on incidence and longitudinal prevalence of diarrhoea among under five children in rural and urban slum settings? Insights fro... by Farhad Ali, Om Prakash Singh, Abhik Dutta, Mahendra Bhushan Upadhyay, Debashmita Bhaumik

“… # Methods The methodology of this study comprise pre and post intervention survey and following cohorts of under five children for four weeks before and after one year of community based interventions including prevention, control and treatment of diarrhoea. The data analysis was done using an Excel spreadsheet (Microsoft Inc, Seattle WA, USA) and SPSS 2015 (IBM, New York NY, USA) and reported at 5% margin of error…”
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Effect of Soft Interlayer Dip Angle on the Attenuation and Prediction of Blast-Induced Vibrations in Rock Slopes: An Experimental Study by Sheng Chen, Nan Jiang, Ying Sun, Jian Pan, Liping He, Jianxiong Guo, Jikui Zhang, Zicheng Zhang

“…Compared to traditional models, the root mean square error (RMSE) decreased by 96%, demonstrating superior capability in capturing vibration attenuation influenced by geological heterogeneity. …”
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An Energy-Efficient Dynamic Feedback Image Signal Processor for Three-Dimensional Time-of-Flight Sensors by Yongsoo Kim, Jaehyeon So, Chanwook Hwang, Wencan Cheng, Jong Hwan Ko

“…This approach enhances energy efficiency by avoiding the processing of all sensor data while maintaining or surpassing accuracy levels. …”
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Investigating the role of foreign aid, FDI, and remittance on the public health of selected South Asian countries by Md. Atik Hasan, Shabikunnahar Suborna, Afrida Jinnurain Urbee

“…This study used Augment Mean Group (AMG) estimation for data analysis. To ensure the precision and dependability of the findings, this research utilizes sophisticated statistical methodologies, including the Common Correlated Effect of Mean Group (CCEMG), Driscoll-Kraay Robust Standard Error approaches, and Dumitrescu and Hurlin (D-H) causality test, thereby establishing their dependability. …”
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Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

“…The proposed approach achieves 25% lower forecasting error (RMSE/MAE) and 30% reduced power consumption through Edge AI implementation. …”
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