The performance of 76 kHz positional acoustic telemetry is challenged by acoustic conditions in the tailrace of a hydroelectric dam by C. Ryan Hill, Antóin M. O’Sullivan, R. Allen Curry, Tommi Linnansaari, Philip M. Harrison

“…Performance improved marginally for the second array (i.e., 200–500 m downstream), but position efficiency was ultimately low (1%), variable across transmitter locations, and negatively correlated with discharge. …”
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A New Optimization Approach for Maximizing the Photovoltaic Panel Power Based on Genetic Algorithm and Lagrange Multiplier Algorithm by Mahdi M. M. El-Arini, Ahmed M. Othman, Ahmed Fathy

“…First the dummy variables that have effect on the output power are classified into two categories: dependent and independent. …”
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A Three-Block Inexact Heterogeneous Alternating Direction Method of Multipliers for Elliptic PDE-Constrained Optimization Problems with a Control Gradient Penalty Term by Xiaotong Chen, Tongtong Wang, Xiaoliang Song

“…In some practical applications, it is necessary to smooth the control variables and suppress their large fluctuations, especially at the boundary. …”
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Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation by Mohammad Javad Ebrahimi, Mahmoud Pasandidehfard, Ali Esmaeili, Mohammad Hossein Moghimi Esfandabadi

“…Optimization was conducted for six variables in a single stage, with 25 tests performed. …”
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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

“…In this model, the parameters are designated as decision variables, the performance index serves as the objective function, and the stability constraints of the system are incorporated. …”
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Performance Investigation of Coated Carbide Tools in Milling Procedures by Paschalis Charalampous

“…In particular, FE models were utilized to compute the milling forces and the corresponding developed stress fields, as well as to assess the cutting tool’s performance based on certain machining variables. Furthermore, a comparative analysis between AI-driven forecasts and FEM simulations was performed to evaluate their effectiveness and reliability. …”
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Finite Difference/Fractional Pertrov–Galerkin Spectral Method for Linear Time-Space Fractional Reaction–Diffusion Equation by Mahmoud A. Zaky

“…The Pertrov–Galerkin spectral method is adapted using non-smooth generalized basis functions to discretize the spatial variable, and the L1 scheme on a non-uniform graded mesh is used to approximate the Caputo fractional derivative. …”
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Shape Accuracy Improvement of the Flange Turning Process in Aluminum Aerosol Can Production by Istvan Sztankovics, Csaba Felho, Krisztina Kun-Bodnar, Zsolt Maros

“…The investigations aimed to achieve flat, consistent flange surfaces with minimal deviation from the desired geometry. Two main variables were examined: a 1 s waiting time at the end position and variations in feed rate and cutting depth. …”
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Perinatal bisphenol A exposure impairs gut microbial colonization: Implications for offspring obesity and neurodevelopment by Ana López-Moreno, Alfonso Torres-Sánchez, Antonio Suárez, Alicia Ruiz-Rodríguez, Margarita Aguilera

“…Toxicological approaches in animal models have revealed complex effects, using variable doses of BPA, on reproduction, development, obesity, immune function, metabolic and systemic toxicity. …”
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Comparison of Numerical Results With Experiment Using Digital Image Correlation System of Multiobjective Structural Optimised Wind Turbine Blade by Ramazan Özkan, Mustafa Serdar Genç

“…The optimisation algorithm defined several variables, including structural constraints, the type of composite material and the number of composite layers to form a mathematical model. …”
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KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV) by Andre Fajry Al Barra, Dewi Retno Sari Saputro

“…Nonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship. …”
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Analysis of Hydrological and Meteorological Conditions in the Southern Baltic Sea for the Purpose of Using LNG as Bunkering Fuel by Ewelina Orysiak, Jakub Figas, Maciej Prygiel, Maksymilian Ziółek, Bartosz Ryłko

“…The southern Baltic Sea is characterized by highly variable weather conditions, particularly in autumn and winter, when storms, strong westerly winds, and temporary sea ice formation disrupt maritime operations. …”
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The Effect of Working Capital on Investment: Evidence from the Tehran Stock Exchange by Ali Ebrahimnejad, Ali Zakizade, Fardin Razmjooei

“…The inclusion of working capital variables reveals higher cash flow coefficients, indicating that conventional models systematically underestimate internal financing's contribution to investment. …”
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Exploring the Future Energy Value of Long-Duration Energy Storage by Anna H. Schleifer, Stuart M. Cohen, Wesley Cole, Paul Denholm, Nate Blair

“…The negative effect of lower roundtrip efficiency on value is also found to be scenario-dependent, with the energy value in higher VRE scenarios being less sensitive to roundtrip efficiency and more supportive of longer storage durations. …”
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A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasound by Xianping Jiang, Chen Chen, Jincao Yao, Liping Wang, Chen Yang, Wei Li, Di Ou, Zhiyan Jin, Yuanzhen Liu, Chanjuan Peng, Yifan Wang, Dong Xu

“…Abstract Objectives The classification of malignant breast nodules into four categories according to the Breast Imaging Reporting and Data System (BI-RADS) presents significant variability, posing challenges in clinical diagnosis. …”
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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…The MM–BO–XGBoost model demonstrates excellent training efficiency and prediction performance.Conclusion The analysis of the mechanism of the VD furnace refining process and Pearson correlation analysis are conducted, and the input variables for the prediction model of VD furnace endpoint liquid steel temperature are identified. …”
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Flexible imputation toolkit for electronic health records by Alireza Vafaei Sadr, Jiang Li, Wenke Hwang, Mohammed Yeasin, Ming Wang, Harold Lehmann, Ramin Zand, Vida Abedi

“…Pympute’s core algorithm, Flexible, intelligently selects the optimal imputation method for each variable based on its characteristics. Pympute offers a comprehensive suite of functionalities. …”
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Research on the Planning and Design of Med–Small-Sized Hospitals in China Based on Patient Perceived Value in the Context of Healthcare Model Transformation by Yunhui Zhu, Ying Zhou

“…There are 24 observed variables in six dimensions, including cost value, functional value, social value, cognitive value, patient satisfaction, and patient loyalty. …”
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Stability analysis of the inner dump with inclined base considering anti-slip pillar by Li MA, Xinyu JIN, Qifeng ZHANG, Kaisheng JIANG, Mengbo LI, Yan HU

“…Taking the angle of inclination of the basement stratum and the discharge height of the soil disposal site as the variables for research, it was obtained that the angle of inclination of the basement stratum α or the height of the soil disposal H and the slope stability coefficient Fs were negatively correlated with the inverse proportionality function, the angle of inclination of the basement stratum had a greater influence on the slope stability, and the height of the discharge height of the soil disposal site had a second greater influence on the stability of the slope. …”
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Meristic and morphometric comparison of an undescribed sucker of the Río Culiacán (Catostomus sp.) and Yaqui sucker (Catostomus bernardini) (Catostomidae, Teleostei) from the Sierr... by Gorgonio Ruiz-Campos, Sergio Sánchez-Gonzáles, Richard L. Mayden, Alejandro Varela-Romero

“…Likewise, the discrimination was associated with the lowest values for predorsal distance, soft posterior ocular margin to occiput, and number of anal rays. The standardized coefficients for canonical variables 1 and 2 accounted 82.6% of the total variation. …”
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