AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…This research investigates the application of machine learning (ML) and metaheuristic optimization to improve the mechanical properties of sisal fiber-reinforced foamed concrete. …”
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The enhanced integration of proven techniques to quantify the uncertainty of forecasting extreme flood events based on numerical weather prediction models by Mitra Tanhapour, Jaber Soltani, Hadi Shakibian, Bahram Malekmohammadi, Kamila Hlavcova, Silvia Kohnova, Peter Valent

“…The outcomes indicated a variability of 2–10 % in the relative peak error using the HBV-LSTM approach for different flood events. …”
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Impact of Fengyun-4A Atmospheric Motion Vector Data Assimilation on PM_2.5 Simulation by Kaiqiang Gu, Jinyan Wang, Shixiang Su, Jiangtao Zhu, Yu Zhang, Feifan Bian, Yi Yang

“…This study simulated a representative PM_2.5 pollution event using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem), incorporating the assimilation of infrared atmospheric motion vector (AMV) data from the Fengyun-4A (FY-4A) satellite. …”
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Perfil inflamatorio del humor acuoso tras tratamiento asistido por láser de femtosegundo en casos de catarata nuclear by Claudia Palacio-Pastrana, Andric C. Perez-Ortiz, Bani Antonio-Aguirre, Cristina Mendoza-Velásquez, Azyadeh Camacho-Ordóñez, Manuel Ceballos-Reyes, Atzin Robles-Contreras, Virgilio Lima-Gómez

“…However, inflammation generated by the laser remains a subject of research. This study aimed to measure key inflammatory markers in the aqueous humor of patients diagnosed with purely nuclear cataracts after femtosecond-laser (FL) exposure. …”
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Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches by Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay

“…The innovative aspect of this research lies in the creation of a unique post-earthquake dataset, collected and labeled from highways affected by the February 6, 2023 earthquakes in Turkey (Mw = 7.7 and Mw = 7.6). …”
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Exploring using HBsAg to predict interferon treatment course to achieve clinical cure in chronic hepatitis B patients: a clinical study by Fei Yan, Fei Tang, Jing Chen, YiCheng Lin, XinYu Chen, Qin Du, WeiLi Yin, Jing Liang, Lei Liu, Fang Wang, BaiGuo Xu, Qing Ye, HuiLing Xiang

“…The actual and predicted values in the validation cohort were highly matched, meanwhile the mean absolute percentage error (MAPE), root mean square error (RMSE) and accuracy (ACC) of the validation cohort were calculated. …”
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Galaxy Cluster Characterization with Machine Learning Techniques by M. Sadikov, J. Hlavacek-Larrondo, L. Perreault-Levasseur, C. L. Rhea, M. McDonald, M. Ntampaka, J. ZuHone

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Performance Evaluation of Metaheuristics for LQR Controller Optimization: A Two-Wheel Balancing Robot Case Study by Jose Ricardo Rivera-Ruiz, Ricardo Rojas-Galvan, Jose R. Garcia-Martinez, Edson Eduardo Cruz Miguel, Omar A. Barra-Vazquez, Maria Ines Cruz Orduna, Jesus Enrique Escalante-Martinez, Juvenal Rodriguez-Resendiz

“…One of the main problems in their control is achieving stability and precise position tracking under real-world disturbances and dynamic uncertainties. This research addresses these challenges by proposing a methodology to optimize a linear quadratic regulator (LQR) controller using metaheuristic algorithms. …”
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Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose by Haolin Wang, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie

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Multi-view fusion network with test time augmentation for cardiac image segmentation and ejection fraction estimation by Waqas Anwaar, Van Manh, Wufeng Xue, Dong Ni

“…To support reproducibility and future research, our code is publicly available at: https://github.com/waqasanwaar/MV-XNet.…”
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<tt>TrialSieve</tt>: A Comprehensive Biomedical Information Extraction Framework for PICO, Meta-Analysis, and Drug Repurposing by David Kartchner, Haydn Turner, Christophe Ye, Irfan Al-Hussaini, Batuhan Nursal, Albert J. B. Lee, Jennifer Deng, Courtney Curtis, Hannah Cho, Eva L. Duvaris, Coral Jackson, Catherine E. Shanks, Sarah Y. Tan, Selvi Ramalingam, Cassie S. Mitchell

“…In summary, TrialSieve provides a foundation to improve automated biomedical information extraction for frontend clinical research.…”
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Clinical and Developmental Outcomes After 50 Years of Newborn Bloodspot Screening for Classical Galactosaemia in the Republic of Ireland by D. Pereira, E. Loftus, C. E. Thompson, F. Boyle, J. McNulty, R. Boruah, E. Crushell, C. Howard, J. Hughes, A. A. Monavari, E. P. Treacy, A. Beegan, N. Jordan, Y. Rogers, A. Collins, J. J. Brady, M. Elsammak, P. D. Mayne, I. Knerr

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Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models by Jing Yang, Fulong Chen, Aihua Long, Huaiwei Sun, Chaofei He, Bo Liu

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Modeling and Simulation of Automotive FMCW RADAR Sensor for Environmental Perception by Arsalan Haider, Abdulkadir Eryildirim, Marcell Pigniczki, Lukas Haas, Birgit Schlager, Thomas Zeh, David Nickel, Alexander W. Koch

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Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

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Improved in-situ direct shear test of rock mass structural plane and its application to stability analysis of bedding slope by Zhiming Wang, Changguang Qi, Zhichao Zhang, Rufa Huang, Chaoxu Guo, Lijin Dong, Rongyue Zheng

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Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE by Brendan Campbell, Alan Williams, Kleio Baxevani, Kleio Baxevani, Alyssa Campbell, Alyssa Campbell, Rushabh Dhoke, Rileigh E. Hudock, Xiaomin Lin, Xiaomin Lin, Vivek Mange, Vivek Mange, Bernhard Neuberger, Arjun Suresh, Alhim Vera, Arthur Trembanis, Herbert G. Tanner, Edward Hale, Edward Hale

“…Although ODYSSEE was not sufficiently accurate, we anticipate that future training on higher-quality images, utilizing additional live imagery, and incorporating additional annotation training classes will greatly improve the model’s predictive power based on the results of this analysis. Future research should address methods that improve the detection of living vs dead oysters.…”
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The real-world effectiveness of defocus incorporated multiple segments and highly aspherical lenslets on myopia control: a longitudinal study from the French myopia cohort by Jost B Jonas, Serge Resnikoff, Rupert Bourne, Alain M Bron, Nicolas Leveziel, Rime Najji, Mark Bullimore, Mathieu Naudin, Clément Giraud

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More is not always better: delta-downscaling climate model outputs from 30 to 5&thinsp;min resolution has minimal impact on coherence with Late Quaternary proxies by L. Timbrell, L. Timbrell, J. Blinkhorn, J. Blinkhorn, M. Colucci, M. Colucci, M. Leonardi, M. Leonardi, M. Chevalier, A. V. Pozzi, M. Grove, E. Scerri, E. Scerri, E. Scerri, A. Manica

“…Optimal spatial resolution is therefore likely to be highly dependent on specific research contexts and questions, with careful consideration required regarding the trade-off between highlighting local-scale variations and increasing potential error via unreliable interpolation.…”
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Prevalence of mild cognitive impairment among former elite athletes without a history of sport-related concussions compared to the general older population: a protocol for a cross-... by Jingjing Ren, Qing Zhao, Haojie Li, Shuo Luan, Jiahui Cong, Hanzhi He, Jiaying Xu, Jinghua Qian

“…Although consistent physical activity has been associated with long-term brain health, former elite athletes appear to represent a unique population. While past research has established a connection between sport-related concussions (SRCs) and later cognitive decline, less attention has been given to the cognitive function of former athletes who have not experienced SRCs. …”
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