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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Functional Correlates of Action Observation of Gait in Patients with Parkinson’s Disease by Giulia Bommarito, Martina Putzolu, Laura Avanzino, Carola Cosentino, Alessandro Botta, Roberta Marchese, Matilde Inglese, Elisa Pelosin

“…Differences between patients with PD (FOG+ and FOG-) and HS were assessed at the level of behavioral and functional analysis. Results. Gait parameters, including gait velocity, stride length, and their coefficients of variability (CV), were different in PD patients compared to HS, whereas gait performance was similar between FOG+ and FOG-. …”
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Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

“…Introduction. Boolean functions of several variables are of paramount importance in the coding theory and cryptography. …”
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Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

“…Once encoded, the data are represented by a normal distribution of latent variables. The VAE then uses a trained decoder to sample the distribution created by the latent variables and reconstruct a continuous hazard function at the onshore location. …”
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Mixed Cost Function and State Constrains Optimal Control Problems by Hugo Leiva, Guido Tapia-Riera, Jhoana P. Romero-Leiton, Cosme Duque

“…In this paper, we analyze an optimal control problem with a mixed cost function, which combines a terminal cost at the final state and an integral term involving the state and control variables. …”
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The efficiency of Amil Zakat Institutions (LAZ) in Indonesian Islamic Banks: Data Envelopment Analysis Approach by Rofiul Wahyudi, Agus Susetyohadi

“…The Amil Zakat Institution (LAZ), based on Islamic bank corporations, has shown a significant role based on the mandate of the 2008 law on the social functions of Islamic banks. However, a performance evaluation is needed to see how efficient the LAZ is in its operations. …”
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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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High Variability in Human Sperm Membrane Potential over Time Can Limit Its Reliability as a Predictor in ART Outcomes by Tomás J. Steeman, Carolina Baro Graf, Analia G. Novero, Mariano G. Buffone, Dario Krapf

“…Intra-donor <i>E</i>m variability and coefficients of variation (CV) were analyzed statistically. …”
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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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Threshold and Asymmetric Effects of Foreign Direct Investment on Inclusive Growth in Shanghai Cooperation Member Countries by marziyeh hosini, monireh Rafat

“…The study calculated and used the inclusive growth variable following the methodology of social welfare function which is also known as the social opportunity function. …”
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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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Bayesian Adaptive Lasso for the Partial Functional Linear Spatial Autoregressive Model by Dengke Xu, Ruiqin Tian, Ying Lu

“…This study introduces a partial functional linear spatial autoregressive model which can explore the relationship between a scalar spatially dependent response variable and predictive variables containing both multiple scalar covariates and a functional covariate. …”
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Error-Function-Based Penalized Quantile Regression in the Linear Mixed Model by Zelin Hang, Xiuli He

“…This is a method of variable selection by ERror Function (ERF) regularization in the linear effects model. …”
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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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Association between long-term visit-to-visit resting heart rate variability and cognitive decline: evidence from two national cohorts by Guangjun Zheng, Biying Zhou, Zhenger Fang, Xia Chen, Mingliang Liu, Fudong He, Haofeng Zhang, Guang Hao, Haidong Zhu, Yanbin Dong

“…Similar results were observed from several sensitivity analyses, including using average real variability and coefficient of variation for RHRV, additionally adjusted for physical activity, excluding participants who had heart problems at baseline, and further adjusting for the C-reactive protein in the CHARLS. …”
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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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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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