Correlation Analysis and Prediction of the Physical and Mechanical Properties of Coastal Soft Soil in the Jiangdong New District, Haikou, China by Yongchang Yang, Xinying Song, Shuai Zhang, Jun Hu, Ming Ruan, Dongling Zeng, Han Luo, Jiangsi Wang, Zhixin Wang

“…Subsequently, we employed the feature selection guided by the aforementioned data analysis results to establish a random forest model. …”
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Modeling and sensitivity analysis of the compressive strength of recycled brick aggregates concrete using GMDH, GEP and RSM methods by Payam Fereidouni, Ali Seyedkazemi, Saman Soleimani Kutanaei, Abdullah Davoudi-Kia

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Impact of SGLT2 inhibition on markers of reverse cardiac remodelling in heart failure: Systematic review and meta‐analysis by Patrick Savage, Chris Watson, Jaimie Coburn, Brian Cox, Michael Shahmohammadi, David Grieve, Lana Dixon

“…Conclusion This meta‐analysis provides additional data and insight into the effects of SGLT2 inhibition on reverse cardiac remodelling in patients with HF. …”
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Analysis of reservoir rock permeability changes due to solid precipitation during waterflooding using artificial neural network by Azizollah Khormali, Soroush Ahmadi, Aleksandr Nikolaevich Aleksandrov

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Pengembangan Automated Image Analysis untuk Menentukan Jumlah Bakteri Tahan Asam (BTA) pada Kasus Tubercolosis by Safri Adam, Puji Astuti, Puspa Amalia, Fadli Sukandiarsyah

“…Hasil evaluasi menunjukkan RMSE (Root Mean Square Error) sebesar 2.484  yang didapat pada saat threshold 0.11.   …”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…In modern astronomy, the quantity of data collected has vastly exceeded the capacity for manual analysis, necessitating the use of advanced artificial intelligence (AI) techniques to assist scientists with the most labor-intensive tasks. …”
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Fine-tuning of season definition for genetic analysis of fertility, productivity, and longevity traits in Iranian Holstein dairy cows by Shahin Eghbalsaied, Laleh Akasheh, Mahmood Honarvar, Amir Davar Forouzandeh, Ali Ghazikhani-Shad, Fatemeh Bankizadeh, Rohullah Abdullahpour

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Impact of meteorological factors on the incidence of bacillary dysentery in Beijing, China: A time series analysis (1970-2012). by Long Yan, Hong Wang, Xuan Zhang, Ming-Yue Li, Juan He

“…<h4>Methods</h4>A time series analysis was conducted in the Beijing area based upon monthly data on weather variables (i.e. temperature, rainfall, relative humidity, vapor pressure, and wind speed) and on the number of BD cases during the period 1970-2012. …”
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Efficacy of Adjuvant Yoga Therapy for Cognition in Schizophrenia: A Systematic Review and Meta-analysis of Randomized Controlled Trials by Daiveek G. Pattanashetty, Shivarama Varambally, Hemant Bhargav

“…Covidence and Microsoft Excel for data extraction, Cochrane tool for risk of bias assessment version 2, and RevMan version 5.4.1 for data analysis were used. …”
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Business metrics in the age of digitalization: new challenges and opportunities by I. N Belousov, U. A. Borovy, K. G. Gladkov

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A PERFORMANCE ANALYSIS OF DIFFERENT ATTACHED WAVELENGTHS BASED WDM-ROF SYSTEM FOR FRONTHAUL 5G COMMUNICATION by Aqeel Al-Hilali, Haitham Bashar, Mohammed Abdul Majeed, Ayad Ghany, Hussein Alaa Diame

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Development of Motion Learning Media and Energy Conservation Law Through Coaster Tracks Based on Logger Pro Analysis by A. Setiyani, W. H. Kristiyanto, F. S. Rondonuwu

“…Based on the data analysis and fitting using the Logger Pro, the following values are obtained: vtrain 0.027 m/s, atrain 0.034 m/s2, average train velocity 0.02572 m/s and average train acceleration 0.03662 m/s2 with RMSE (Root Mean Square Error) value of 0.013 m. …”
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Analysis and Prediction of the Factors Influencing Postconstruction Surface Deformation of Pipe-Jacking Tunnel in Soft Clay Strata in China by Guo-jing Cui, Jiang-sheng Xie, Yin-hao Sun, Yong-ji Gao

“…Under the reduction coefficient of 0.937 − 0.846, a new prediction formula for surface settlement deformation after the construction of the soft clay layer was derived. The error between the formula and the measured data was 9.05%, which can be used as a reference for controlling design parameters to predict the settlement after construction of pipe-jacking engineering.…”
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A Comparative Analysis of Different Machine Learning Algorithms Developed with Hyperparameter Optimization in the Prediction of Student Academic Success by Bahar Demirtürk, Tuba Harunoğlu

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National survey on availability, use and clinical impact of point-of-care blood analysis systems in Swedish emergency departments by Matthias Jörg, Tim Lundgren, Jens Wretborn, Daniel B. Wilhelms

“…ED staff assessed the reliability of results of POCT blood gas analysis as 8 on a 1–10 likert scale (SD 1). All EDs provided staff training on sampling and analysis, but only 30% of EDs had repeated training sessions to avoid misoperation and preanalytical errors. …”
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Load-Sharing Characteristics of Power-Split Transmission System Based on Deformation Compatibility and Loaded Tooth Contact Analysis by Hao Dong, Ling-ling Duan, Jun-an Zhang, Zhou Fang

“…Finally, the load-sharing coefficient of the power-split transmission system is obtained, and the influences of the installation errors are analyzed. The results show that the above-mentioned installation errors comprehensively influence the load-sharing characteristics, and the reduction of only one error could not effectively achieve perfect load-sharing characteristics. …”
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Comparative Analysis of Automated Machine Learning and Optimized Conventional Machine Learning for Concrete’s Uniaxial Compressive Strength Prediction by Chukwuemeka Daniel

“…AutoGluon showed exceptional performance when the predictions were compared with experimental data. This model yielded the lowest root mean square error (RMSE) of 1.0830 MPa and the highest coefficient of determination (R2) of 0.9493. …”
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An Analysis of Type-I Generalized Progressive Hybrid Censoring for the One Parameter Logistic-Geometry Lifetime Distribution with Applications by Magdy Nagy, Mohamed Ahmed Mosilhy, Ahmed Hamdi Mansi, Mahmoud Hamed Abu-Moussa

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Enhancing Localization Accuracy and Reducing Processing Time in Indoor Positioning Systems: A Comparative Analysis of AI Models by Salwa Sahnoun, Rihab Souissi, Sirine Chiboub, Aziza Chabchoub, Mohamed Khalil Baazaoui, Ahmed Fakhfakh, Faouzi Derbel

“…This study examines Artificial Neural Networks (ANNs), Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNNs), and the Kalman filter using a real Received Signal Strength Indicator (RSSI) and 9-axis ICM-20948 sensor. An in-depth analysis is provided in this paper for data cleaning and feature selection to reduce errors for all the models. …”
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Peering into the Black Box: Forward Modeling of the Uncertainty Budget of High-resolution Spectroscopy of Exoplanet Atmospheres by Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton, Peter C. B. Smith, Jacob L. Bean, Lily L. Zhao, Kaze W. K. Wong, Jorge A. Sanchez, Michael R. Line

“…Our investigation of the uncertainties and potential biases inherent in HRCCS data analysis enables greater confidence in scientific results from this maturing method.…”
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