Spacecraft Intelligent Fault Diagnosis under Variable Working Conditions via Wasserstein Distance-Based Deep Adversarial Transfer Learning by Gang Xiang, Kun Tian

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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions by Mohammad Masjed-Jamei

“…In this direction, some new concepts, such as p-covariances with respect to a fixed variable, p-correlation coefficients with respect to a fixed variable, and p-uncorrelatedness with respect to a fixed variable, are defined in order to establish least p-variance approximations. …”
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Variable convergence train noise active control algorithm based on feedforward reference by LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang

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Application of the Complex Variable Function Method to SH-Wave Scattering Around a Circular Nanoinclusion by Hongmei Wu

“…This paper focuses on analyzing SH-wave scattering around a circular nanoinclusion using the complex variable function method. The surface elasticity theory is employed in the analysis to account for the interface effect at the nanoscale. …”
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Comparative analysis of profitability and resource use efficiency between Penaeus monodon and Litopenaeus vannamei in India. by Ubair Nisar, Hongzhi Zhang, Mahida Navghan, Yugui Zhu, Yongtong Mu

“…The Cobb-Douglas production function, which relates production output to several independent input variables, was used to determine productivity. …”
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Predicting filtration coefficient and formation damage coefficient for particle flow in porous media using machine learning by Xuejia Du, George K. Wong

“…The clogging of porous media with solid particle suspension flow is modeled using two empirical parameters of filtration coefficient (λ) and formation damage coefficient (β). …”
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Influence of Tokar Gap wind jet on latent heat flux of Central Red Sea: empirical orthogonal function approach by Jamaan A. Turki, Abdullah M. Al-Subh, Fawaz Madah

“…The empirical orthogonal functions (EOF) analysis method was used to determine the modes of LHF variabilities. …”
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Energy-Efficient Train Operation Optimization Method for Urban Rail Intervals Based on Curve Splicing by Lianbo Deng, Shaokun Ren, Li Cai, Ziruo Xie

“…On this basis, a curve splicing optimization model is established, with the objective function being the minimization of the train’s operational energy consumption while meeting interval running time requirements. …”
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Efficient remote sensing image classification using the novel STConvNeXt convolutional network by Bo Liu, Chenmei Zhan, Cheng Guo, Xiaobo Liu, Shufen Ruan

“…Abstract Remote sensing images present formidable classification challenges due to their complex spatial organization, high inter-class similarity, and significant intra-class variability. To address the balance between computational efficiency and feature extraction capability in existing methods, this paper innovatively proposes a lightweight convolutional network, STConvNeXt. …”
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Energy Efficiency and Mathematical Modeling of Shrimp Pond Oxygenation: A Multiple Regression Experimental Study by Yoisdel Castillo Alvarez, Yorlan González González, Reinier Jiménez Borges, Luis Angel Iturralde Carrera, José M. Álvarez-Alvarado, Juvenal Rodríguez-Reséndiz

“…The proposed model is key to optimizing the operation of pumping systems, allowing us to significantly reduce water turnover without compromising dissolved oxygen levels as a function of key variables such as water turnover volume, biomass, solar radiation (0–1200 W/m²), water temperature (20 °C–32 °C), phytoplankton levels (0–1,000,000 cells/ml), zooplankton (0–500,000 cells/ml), and wind speed (0–15 m/s). …”
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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens by Lizhi Tan, Xinyu Cai, Yuan Kong, Zexuan Liu, Zilong Wen, Lina Bu, Yuzhan Wang, Xiaojun Liu, Zhiwu Zhang, Jianlin Han, Dandan Wang, Yiqiang Zhao

“…Consistently, functional analysis of associated genes demonstrates that egg production efficiency benefits from multiple physiological functions. …”
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Modified graphene oxide as an efficient magnetic adsorbent for the simultaneous removal of Sunset Yellow and Tartrazine dyes by Margan Qaed Amini Farsani, Shahla Elhami

“…The adsorbent was successfully reused 8 times with very little change in the adsorption efficiency, which indicates that it is highly reusable. …”
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Implicit manifestation of prospective metacognition in betting choices enhances its efficiency compared to explicit expression by Hidekazu Nagamura, Hiroshi Onishi, Kohta I. Kobayasi, Shoko Yuki

“…Recent metacognitive research has extensively investigated metacognitive efficiency (i.e., the accuracy of metacognition). Given the functional importance of metacognition for adaptive behavioral control, it is important to explore the nature of prospective metacognitive efficiency; however, most research has focused on retrospective metacognition. …”
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A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

“…The proposed algorithm makes use of an arctan constraint in the cost function of the algorithm. This constraint enforces a zero attraction of the filter coefficients based on the relative value of each filter coefficient among all entries. …”
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A Case Study on the Influence of Friction Coefficient and Rotational Speed on Transient Thermoelastic Response of FGM Rotating Cylinder by Reza Koohi Faegh Dehkourdi, Mostafa Omidi Bidgoli, Mohammad Hosseini

“…The material property is assumed to be variable along radius according to a volume fraction distribution. …”
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Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

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Estimated Glomerular Filtration Rate Variability and Incident Heart Failure in Adults With Type 2 Diabetes by Arnaud D. Kaze, MD, MPH, Chiadi E. Ndumele, MD, PhD, Bernard G. Jaar, MD, MHS, Prasanna Santhanam, MBBS, MD, Beeletsega T. Yeneneh, MD, MS, Farouk Mookadam, MD, Roderick Tung, MD, Gregg C. Fonarow, MD, Deidra C. Crews, MD, ScM, Justin B. Echouffo-Tcheugui, MD, PhD

“…Background: Variability in kidney function, as measured by estimated glomerular filtration rate (eGFR), has been proposed as a novel risk factor for adverse cardiovascular outcomes. …”
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Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

“…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
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Cross-Modal Hashing Retrieval Based on Density Clustering by Xiaojun Qi, Xianhua Zeng, Hongmei Tang

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