An intelligent non-destructive method to identify the quality of self-compacting concrete based on convolutional neural networks via image recognition by Zhong Xiao, Zixuan Liu, Xuying Guo, Jun Liu

“…In order to correlate the image recognition of SCC with its characteristics, the fluidity, compressive strength and chloride ion diffusion coefficient of SCC were tested while images of SCC were acquired using a smartphone. …”
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A method for predicting postpartum depression via an ensemble neural network model by Yangyang Lin, Dongqin Zhou

“…At the same time, the Dropout mechanism of the DNN reduces the overfitting risk of the proposed model and enhances its generalization ability, enabling the proposed model to better adapt to different clinical data.ResultsThe proposed model achieved the following performance metrics on the PPD dataset: accuracy of 0.933, precision of 0.958, recall of 0.939, F1-score of 0.948, Matthews Correlation Coefficient (MCC) of 0.855, specificity of 0.923, Negative Predictive Value (NPV) of 0.889, False Positive Rate (FPR) of 0.077, and False Negative Rate (FNR) of 0.061. …”
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Multi-Model Simulations of a Mediterranean Extreme Event: The Impact of Mineral Dust on the VAIA Storm by Tony Christian Landi, Paolo Tuccella, Umberto Rizza, Mauro Morichetti

“…It achieved a correlation coefficient of up to 0.77, mean bias (MB) between +3.56 and +5.01 mm/day, and lower RMSE and MAE values (~32 mm and ~22 mm, respectively). …”
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Physics-informed machine learning to predict solvatochromic parameters of designer solvents with case studies in CO2 and lignin dissolution by Mood Mohan, Nikhitha Gugulothu, Sreelekha Guggilam, T. Rajitha Rajeshwar, Michelle K. Kidder, Jeremy C. Smith

“…The ML models developed in the present study showed accurate predictions with high determination coefficient (R2) and low root mean square error (RMSE) values. …”
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Improving the Applicability of Lumped Hydrological Models by Integrating the Generalized Complementary Relationship by Xuxin Lei, Lei Cheng, Lu Zhang, Shujie Cheng, Shujing Qin, Pan Liu

“…GCR integration with LHMs can improve runoff estimation ability (with higher KGE and R‐Square) while retaining model simplicity and readily available input. …”
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Evaluation of the Possibility of Calculating LD50 and LD10 Using a Modified Script in the R Environment by P. V. Shadrin

“…The modification reduced the amount of input data required for calculation, added the ability to calculate LD10 values, and improved the visual clarity of the calculation results. …”
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Competitive Adsorption Behavior of CO₂ and CH₄ in Coal Under Varying Pressures and Temperatures by Yijin Zhu, Haijian Li, Jiahong Liu, Caiwen Zhou, Yunpeng Zhao

“…These findings imply that, within this temperature range, a reduced temperature improves the ability of CO₂ to efficiently displace CH₄. …”
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Strategies for strengthening the rural economic base in stimulating the growth of Bone Bolango Regency by Iwan Mustapa, S. Sumarmo, Budi Setiawan, Heny Pramoedyo

“…Sampling for SWOT analysis is carried out by Purposive Sampling, where respondents are selected based on criteria that are considered relevant and have the knowledge and ability to provide information about problems and research objectives. …”
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Experimental Study on Thermal Management of 5S7P Battery Module with Immersion Cooling Under High Charging/Discharging C-Rates by Le Duc Tai, Kunal Sandip Garud, Moo-Yeon Lee

“…The Therminol D-12 achieved superior cooling performance, with the highest heat transfer coefficient (HTC) of 2171.93 W/m²⋅K and the ability to maintain the maximum temperature (T_max) and temperature difference (∆T) of the battery module within the safe range. …”
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A CNN deep learning approach to scour depth estimation around complex bridge piers in steady flow environments by Ngoc Thi Huynh, Anh Thu Thi Phan, Tan Tai Trieu, Ho-Hong-Duy Nguyen, Thanh Nhan Nguyen

“…The proposed model leverages the ability of 1D CNNs to process high-dimensional input dataset, capturing intricate non-linear relationships between influential parameters, such as flow velocity, pier configurations, sediment properties, and water depth. …”
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Red blood cell distribution width (RDW) and adverse outcomes in acute coronary syndrome patients by Nguyen Thi Thuy Hang, Nguyen Vu Ha Nguyen, Hoang Anh Tien

“…ROC curves demonstrate that RDW has a good predictive ability for reduced EF (AUC=0.779, 95% CI 0.626-0.932, p=0.006).  …”
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Tribochemistry of organic friction modifiers in lubrication of bio-hydrogenated diesel by Paweekan Hansungnoen, Ekarong Sukjit, Anawat Phatthanaphon, Atthaphon Maneedaeng

“…Using high-frequency reciprocating rig (HFRR) testing in accordance with ISO 12156–1:2018, friction coefficients and wear scar diameters were measured for five distinct OFMs at concentrations ranging from 0.1 to 1.0 % by weight. …”
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DualPlaqueNet with dual-branch structure and attention mechanism for carotid plaque semantic segmentation and size prediction by Lili Deng, Xingyu Duan, Yongxiang Sun, Yunling Wang, Dongmei Song, Xiaokai Duan

“…For plaque size prediction, this model demonstrated lower MSE and MAE, along with a higher coefficient of determination R2, proving its ability to accurately extract plaque size information from ultrasound images.ConclusionThe dual-branch design and attention mechanisms of DualPlaqueNet effectively address the challenges of ultrasound images, achieving precise segmentation and size prediction, demonstrating its potential as an auxiliary tool for future clinical applications.…”
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Strategies for efficient utilization of heavy rare-earth Tb in high-performance Ce magnets with high Ce content by Xiaolong Song, Qisong Sun, Minggang Zhu, Dongmin Zhang, Yifei Xiao, Yikun Fang, Qiang Wang, Wei Li

“…The Pr synergistic diffusion on the diffusion detail of elemental Tb is analyzed. The ability of Tb to enter the main phase is reduced due to the addition of Pr combined with the significant diffusion coefficient of Pr, which contributes to the enhancement of coercivity and thermal stability for diffused Ce magnet. …”
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Morphological Traits and Water–Nutrient Utilization Efficiency of <i>Hippophae rhamnoides</i> Fine Roots Under Different Stubble Heights in Arsenic Sandstone Area, Inner Mongolia by Yajie Xu, Yuefeng Guo, Yongjie Yue, Longfei Hao, Wei Qi, Runhong Gao, Xiaoyu Dong

“…Among different traits, fine root area density shows the highest total coefficient of variation, making it the most sensitive trait. …”
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Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer by Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li

“…Root mean square error (RMSE), mean absolute error (MAE), and the coefficient of determination (R²) are used as evaluation metrics for comprehensive analysis and comparison. …”
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Investigation of Titanium Alloy Cutting Dynamics in Thin-Layer Machining by Anna Zawada-Tomkiewicz, Emilia Zeuschner, Dariusz Tomkiewicz

“…It was found that the material has a limited ability to flow sideways at the boundary of the chip thickness, thus determining the probable size of the stagnation zone in front of the cutting edge. …”
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Multifaceted Biological Activity of Rutin, Quercetin, and Quercetin’s Glucosides by Danuta Zielińska, Małgorzata Starowicz, Małgorzata Wronkowska, Henryk Zieliński

“…The ranking of the ACE inhibitory activity was Q > Q3,4′G > Ru > Q3G > Q4′G. The correlation coefficient between ACE enzyme inhibitory activities and antioxidant potentials had a value of r = −0.68, thus clearly indicating the impact of antioxidant potential and chemical structure on ACE inhibitory activity. …”
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Predictors of intention to sign an organ donor card among Iranian clinical nurses: an application of the expanded organ donation model by Sajjad Abdolmaleki, Sanaz Khalili, Mahnaz Farzian, Sahar Khoshravesh

“…The Pearson correlation coefficient and linear regression were used to assess the relationship between variables. …”
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Modified polyvinylidene fluoride membranes for effective removal of iron ions (Fe2+) from water by Halyna Bubela, Viktoriia Konovalova, Joanna Kujawa, Wojciech Kujawski

“…The modified membranes demonstrated a hydrodynamic permeability coefficient of 17.1 LMH·bar-1, which is approximately 2.5 times higher than the pristine PVDF membrane. …”
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