Investigation of Multistage Hydraulic Fracture Optimization Design Methods in Horizontal Shale Oil Wells in the Ordos Basin by Suotang Fu, Jian Yu, Kuangsheng Zhang, Hanbin Liu, Bing Ma, Yuliang Su

“…Finally, this study established a sweet spot prediction and identification method for long horizontal shale oil wells and constructed a set of optimization design methods for multistage hydraulic fracturing. …”
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Spread Sea Clutter Suppression in HF Hybrid Sky-Surface Wave Radars Based on General Parameterized Time-Frequency Analysis by Zhuo-qun Wang, Ya-jun Li, Jun-nan Shi, Peng-fei Wang, Ai-hua Liu, Xin-fan Xia, De-hong Chen

“…Then, the forward-backward linear prediction (FBLP) algorithm is used to suppress the spread sea clutter caused by bistatic angle. …”
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The decay $$B\rightarrow K+\nu +\bar{\nu }$$ B → K + ν + ν ¯ at Belle II and a massless bino in R-parity-violating supersymmetry by Zeren Simon Wang, Herbert K. Dreiner, Julian Y. Günther

“…Abstract Recently, Belle II announced evidence for the decay $$B^+\rightarrow K^+ +\nu +\bar{\nu }$$ B + → K + + ν + ν ¯ at the $$3.5\,\sigma $$ 3.5 σ significance, and measured the corresponding decay branching ratio to be $$2.7\,\sigma $$ 2.7 σ above the Standard Model prediction. Here, we provide a theoretical explanation based on a massless bino in R-parity-violating (RPV) supersymmetry. …”
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Multi-modal framework for battery state of health evaluation using open-source electric vehicle data by Hongao Liu, Chang Li, Xiaosong Hu, Jinwen Li, Kai Zhang, Yang Xie, Ranglei Wu, Ziyou Song

“…However, the limited availability of large-scale, high-quality field data hinders the development of the battery management system for state of health estimation, lifetime prediction, and fault detection in various applications. …”
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A new approach to estimate neighborhood socioeconomic status using supermarket transactions and GNNs by Eduardo Cruz, Monica Villavicencio, Carmen Vaca, Lisette Espín-Noboa, Nervo Verdezoto

“…The results show that the Chebyshev spectral convolutional filter has the highest predictive power to predict the socioeconomic status of the neighborhood, with R 2 = 0.91 $R^{2}=0.91$ . …”
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Elevated few-shot network intrusion detection via self-attention mechanisms and iterative refinement. by Congyuan Xu, Yong Zhan, Guanghui Chen, Zhiqiang Wang, Siqing Liu, Weichen Hu

“…By combining multiple update strategies in meta-learning, the model is initially trained on a general foundation during the training phase, followed by fine-tuning with few-shot data during the testing phase, significantly reducing sample dependency while improving the model's adaptability and prediction accuracy. Experimental results indicate that this method achieved detection rates of 99.90% and 98.23% on the CICIDS2017 and CICIDS2018 datasets, respectively, using only 10 samples.…”
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Numerical simulation of optimal inlet air temperature of a forced convective fish cabinet rotary dryer by Emmanuel Obiani Akari, Ibrahim Ademola Fetuga, Olabode Thomas Olakoyejo, Manasseh Babale Shitta, Omotayo Oluwatusin, Joshua Kolawole Gbegudu, Antonio Marcos de Oliveira Siqueira

“… Computational fluid dynamics was applied in the prediction of the effect of inlet temperature on the drying time of fish in a cabinet rotary dryer. …”
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A Modified Model for Deflection Calculation of Reinforced Concrete Beam with Deformed GFRP Rebar by Minkwan Ju, Hongseob Oh, Junhyun Lim, Jongsung Sim

“…For better prediction of the moment-deflection relationship until the ultimate strength is reached, a nonlinear parameter (k) was also considered. …”
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Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy by Yong He, Xiaoxi Liu, Hui Fang, Jinnuo Zhang, Xuping Feng

“…The least squares support vector machine model based on the characteristic peaks was used to estimate the concentration of phycocyanin and obtained good results with a correlation coefficient of prediction of 0.907 and residual predictive deviation of 3.357. …”
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Investigation of Burn Cut Parameters and Model for One-Step Raise Excavation Based on Damage Evolution Mechanisms by Kai Liu, Jiadong Qiu

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The Influence of Amplitude- and Frequency-Dependent Stiffness of Rail Pads on the Random Vibration of a Vehicle-Track Coupled System by Kai Wei, Pan Zhang, Ping Wang, Junhua Xiao, Zhe Luo

“…Considering that these frequencies of 65–150 Hz are the dominant frequencies of ground vibration accelerations caused by low-speed railway, the nonlinear amplitude- and frequency-dependent stiffness of rail pads should be taken into account in prediction of environment vibrations due to low-speed railway.…”
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Analysis and Optimization of the Vibration and Noise of a Double Planetary Gear Power Coupling Mechanism by Weijian Zhou, Yanyan Zuo, Mingyin Zheng

“…Furthermore, based on the vibration displacement of the housing surface, a prediction model of housing radiating noise is established. …”
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A tabular data generation framework guided by downstream tasks optimization by Fengwei Jia, Hongli Zhu, Fengyuan Jia, Xinyue Ren, Siqi Chen, Hongming Tan, Wai Kin Victor Chan

“…Through extensive experiments conducted on real-world tables with explicit column constraints and tables without explicit column constraints, we have demonstrated that TDGGD ensures increasing data volume while enhancing prediction accuracy. To the best of our knowledge, this is the first instance of deploying downstream information into a diffusion model framework.…”
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Revised direct bandgap and band parameters for AlP: hybrid-functional first-principles calculations vs experiment by Cónal Murphy, Eoin P. O’Reilly, Christopher A. Broderick

“…Critically, using hybrid-functional first-principles calculations, we find that the Γ6c–Γ8v bandgap is ∼1 eV larger than the widely assumed value of 3.63 eV. This prediction is validated by using interband transition energies obtained from the hybrid-functional band structure to perform a constrained fit to spectroscopic ellipsometry data from the literature. …”
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Characterization of Various Plant-Produced Asphalt Concrete Mixtures Using Dynamic Modulus Test by Muhammad Irfan, Asad S. Waraich, Sarfraz Ahmed, Yasir Ali

“…Furthermore, two dynamic modulus prediction models, namely, Witczak and Hirsch, were evaluated for their regional applicability. …”
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A Combined Model for Simulating the Spatial Dynamics of Epidemic Spread: Integrating Stochastic Compartmentalization and Cellular Automata Approach by Murad Bashabsheh

“…They consist of rather separate cells in one or multi-dimensional space, where each cell has a constant number of neighbors. Since CA can predict the geographic distribution of some epidemics through proper mathematical models, they have the potential of improving epidemic prediction and preventive measures in public health management. …”
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Hidden Markov Model-Based Video Recognition for Sports by Zhiyuan Wang, Chongyuan Bi, Songhui You, Junjie Yao

“…A multistream residual neural network is used to extract features from video data of three modalities, and the extracted feature vectors are fed into the attention mechanism network, then, the more critical information for video recognition is selected from a large amount of spatiotemporal information, further learning the temporal dependencies existing between consecutive video frames, and finally fusing the multistream network outputs to obtain the final prediction category. By training and optimizing the model in an end-to-end manner, recognition accuracies of 92.7% and 64.4% are achieved on the dataset, respectively.…”
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Correlations between Texture Profile Analysis and Sensory Evaluation of Cured Largemouth Bass Meat (Micropterus salmoides) by Meijin Li, Jiajun Huang, Yanan Chen, Xiaoyan Zu, Guangquan Xiong, Hailan Li

“…These results provide a basis for predicting the quality of large mouth bass cured products.…”
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Determination of the Peak and Residual Shear Strengths of the Sandwich Material in Slopes by Qijun Hu, Qijie Cai, Leping He, Xiaoqiang Yang, Tao Ye, Rendan Shi

“…The numerical model is built based on these parameters and both the peak and residual shear strengths can be predicted from the model. The prediction results show that the peak and residual internal friction angle are 19.36° and 14.61°, while the peak and residual cohesion are 22.33 kPa and 2.73 kPa, respectively. …”
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Stress Dependency of Creep Response for Glass/Epoxy Composite at Nonlinear and Linear Viscoelastic Behavior by N. Nosrati, A. Zabett, S. Sahebian

“…Stress dependency of creep stages (primary, secondary, and tertiary) of neat epoxy was evaluated at this range of temperature. The prediction results of composite at room temperature show that the raising of the stress levels leads to the acceleration of viscoelastic strain values, but the creep compliance does not present any dependency. …”
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