Application of Radiomics Model of CT Images in the Identification of Ureteral Calculus and Phlebolith by Qiuyue Yu, Jiaqi Liu, Huashan Lin, Pinggui Lei, Bing Fan

“…The feature subset with the most predictability was selected to establish the 3D radiomics model. …”
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Study of a System Dynamics Model of Wuhan Commodity Housing Price by Jingyi Guo, Junwu Wang, Denghui Liu, Shi Qiao, Han Wu

“…Based on the model, it is successfully predicted that the price of commercial housing in Wuhan will reach 18,207.9 yuan/m2 in 2030, which provides a more systematic method of prediction for synthesis simulation of commercial housing markets. …”
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Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers by Mohammed Abdul Lateef Junaid

“… Artificial intelligence (AI) has become a powerful tool in biochemistry, greatly enhancing research capabilities by enabling the analysis of complex datasets, predicting molecular interactions, and accelerating drug discovery. …”
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Forecasting of CVaR based on intraday trading in Tehran ETFs: The approach of heterogeneous autoregression models by Shiva Hallaji, Mahdi Madanchi Zaj, Fereydon Ohadi, Hamidreza Vakilifard

“…Additionally, CVaR prediction was more accurate for index funds than for equity and fixed-income funds, with the HARQ model demonstrating superior performance.Originality/Value: This study investigates the application of HAR models in predicting ETF risks and provides a novel framework for risk management and investment decision making, particularly in the Iranian financial market.…”
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Implementation of fatigue model for unidirectional laminate based on finite element analysis: theory and practice by D. Carrella-Payan, B. Magneville, M. Hack, C. Lequesne, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…This intra-laminar fatigue damage model combined efficient methods with a low number of tests to identify the parameters of the stiffness degradation law, this overall procedure for fatigue life prediction is demonstrated to be cost efficient at industrial level. …”
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Transcriptomics profiling of Parkinson’s disease progression subtypes reveals distinctive patterns of gene expression by Carlo Fabrizio, Andrea Termine, Carlo Caltagirone

“…ML revealed that the progression subtype with the worst prognosis can be predicted at baseline with 0.877 AUROC, yet the contribution of gene expression was marginal for the prediction of the subtypes. …”
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Determination and Monitoring of Key Construction Control Indices for Low-Temperature Performance of Asphalt Mixtures Based on BIM Platform by Yulong Zhao, Ying Gao, Ke Zhang, Yao Zhang, Mingce Yu

“…The low-temperature performance of asphalt mixtures was evaluated by the semicircular bend (SCB) test. A new prediction model of critical strain energy release rate was established to evaluate the low-temperature performance of the asphalt layer. …”
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Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks by Yao Chen, Jian Wang, Jing Zhang, Junkun Zhang, Zhentao Qin, Xinran Liu

“…To address the issue of unbalanced sequence labels, we adopt and fine-tune the focal loss function, promoting superior prediction and faster convergence. The experimental results suggest that the proposed method can achieve promising performance on two benchmark datasets. …”
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Impact of Operational and Financial Efficiency on Aviation Stock Prices: A Machine Learning Model with SHAP Interpretability by Ahmet Akusta

“…SHAP values provided interpretable insights into the model's predictions, allowing for a better understanding of the relative importance of different features. …”
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Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations by Dang-Bo Du, Jian-Xun Zhang, Zhi-Jie Zhou, Xiao-Sheng Si, Chang-Hua Hu

“…Remaining useful life (RUL) prediction method based on degradation trajectory has been one of the most important parts in prognostics and health management (PHM). …”
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Estimation of stepwise crack propagation in ceramic laminates with strong interfaces by K. Štegnerová, P. Hutař

“…Presented approach contributes to the better understanding of the toughening mechanism of ceramic laminates and can be advantageously used for design of new layered ceramic composites and for better prediction of their failure.…”
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Production Analysis for Fractured Vertical Well in Coal Seam Reservoirs with Stimulated Reservoir Volume by Chen Li

“…The model achieves the purpose of rapid evaluation and accurate prediction of gas well productivity and obtains a set of productivity evaluation method suitable for coalbed methane reservoir with fractured vertical well, which provides a basis for the development and productivity evaluation of coalbed methane reservoir in domestic and international cooperation.…”
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Serviceability Properties of Solid Buoyancy Materials for Deep-Sea HOV by Hailong Zhang, Guoliang Ma, Zhiwei Zhu

“…The research results are helpful to further explore the fracturing evolution and water absorption behavior of solid buoyant materials and then play a guiding role in calculating the counterweight of manned submersible operation and performance prediction and maintenance of buoyant materials for manned submersibles.…”
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Toward Accurate Physics‐Based Specifications of Neutral Density Using GNSS‐Enabled Small Satellites by Eric K. Sutton, Jeffrey P. Thayer, Marcin D. Pilinski, Shaylah M. Mutschler, Thomas E. Berger, Vu Nguyen, Dallas Masters

“…Abstract Satellite‐atmosphere interactions cause large uncertainties in low‐Earth orbit determination and prediction. Thus, knowledge of and the ability to predict the space environment, most notably thermospheric mass density, are essential for operating satellites in this domain. …”
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Analysis and optimization of energy harvesting characteristics of converter valve magnetic field self-powered harvester by WANG Wei, SU Wenbo, XU Chenjin, WU Yuwei, SHI Yuchen

“…Temperature monitoring of converter valves can aid in fault prediction, and it is one of the key technologies to ensure the safe and stable operation of converter stations. …”
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A Wideband and Polarization-Independent Metasurface Based on Phase Optimization for Monostatic and Bistatic Radar Cross Section Reduction by Jianxun Su, Yao Lu, Zengrui Li, Rongrong Zhang, Yaoqing (Lamar) Yang

“…Optimizing phase layout through particle swarm optimization (PSO) together with far field pattern prediction can produce a lot of scattering lobes, leading to a great reduction of bistatic RCS. …”
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Chaotic Dynamics of a Mixed Rayleigh–Liénard Oscillator Driven by Parametric Periodic Damping and External Excitations by Yélomè Judicaël Fernando Kpomahou, Laurent Amoussou Hinvi, Joseph Adébiyi Adéchinan, Clément Hodévèwan Miwadinou

“…Furthermore, from the Melnikov method, the analytical criterion for the appearance of the homoclinic chaos is derived. Analytical prediction is tested against numerical simulations based on the basin of attraction of initial conditions. …”
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Effects of Forcing Uncertainties on the Thermospheric and Ionospheric States During Geomagnetic Storm and Quiet Periods by C.‐T. Hsu, N. M. Pedatella

“…Abstract Upper‐atmospheric weather prediction is subject to various types of forcing uncertainties. …”
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Characterization of the C-terminal tail of the Arc protein. by Melissa Boldridge, Jody Shimabukuro, Keith Nakamatsu, Christian Won, Chad Jansen, Helen Turner, Lei Wang

“…We compared the sequences of Arc proteins in different mammal species and found that the amino-acid composition in the C-terminal tail region has a significantly higher degree of variation rate than the rest of the protein. Structural prediction programs suggested that the C-terminal tail is structurally disordered. …”
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Revisiting Information Cascades in Online Social Networks by Michael Sidorov, Ofer Hadar, Dan Vilenchik

“…Moreover, while a significant body of work has focused on predicting macro-level features, such as the total cascade size, relatively little attention has been given to the prediction of micro-level features, such as the activity of an individual user. …”
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