Analyzing the influence of regulatory capture on environmental efficiency within institutional frameworks by Feng Wang, Feng Wang, Farooq Muhammad Sabil, Farooq Muhammad Sabil, Nazia Feroze, Cheng Tongshun, Faisal Feroze

“…It utilizes provincial-level panel data from China and applies the Slack-Based Measure (SBM) model to assess environmental efficiency. Key institutional variables—including indicators of government quality and legal robustness—are incorporated to examine how they interact with and influence the effects of regulatory capture.ResultsFindings reveal that regulatory capture significantly hinders regional environmental efficiency. …”
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An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics by Z. Tan, D. Xu, S. Taraphdar, J. Ma, G. Bisht, L. R. Leung

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Short light/dark cycles favour photosynthetic efficiency and growth in grapevines by Mariana Gómez Tournier, Laurent Torregrosa, Jana Kändler, Angélique Christophe, Romain Boulord, Anna Medici, Anne Pellegrino

“…We evaluated photosynthetic efficiency, leaf growth, biomass production and partitioning, and resource use efficiency (water and light). …”
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Using Wearable Inertial Sensors to Estimate Kinematic Parameters and Variability in the Table Tennis Topspin Forehand Stroke by Ziemowit Bańkosz, Sławomir Winiarski

“…The large intraindividual variability in movement was probably functional (i.e., motor adjustment and injury avoidance). …”
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Interobserver Variability in Manual Versus Semi-Automatic CT Assessments of Small Lung Nodule Diameter and Volume by Frida Zacharias, Tony Martin Svahn

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Symmetric physically unclonable functions of the arbiter type by V. N. Yarmolik, A. A. Ivaniuk

“…It has been established that classical APUF uses a standard basic element that performs three functions, namely, the function of generating two random variables Generate, the function of choosing a pair of paths Select and the function of switching paths Switch, which are specified by one bit of the challenge. …”
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Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…To overcome such an environment, in this study, an optimization flow for structural optimization is considered, and states, actions, and rewards appropriately representing design variables, constraint conditions, and objective functions are discussed. …”
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Comparison of Different Numerical Models for Solidification of Paraffin-Based PCMs and Evaluation of the Effect of Variable Mushy Zone Constant by Milad Tajik Jamalabad, Cristobal Cortes, Javier Pallarés, Antonia Gil, Inmaculada Arauzo

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Demonstrating Efficient and Robust Bosonic State Reconstruction via Optimized Excitation Counting by Tanjung Krisnanda, Clara Yun Fontaine, Adrian Copetudo, Pengtao Song, Kai Xiang Lee, Ni-Ni Huang, Fernando Valadares, Timothy C.H. Liew, Yvonne Y. Gao

“…In this work, we introduce an efficient and robust technique of optimized reconstruction with excitation-number sampling (ORENS) based on the idea of the generalized Q function. …”
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Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces by Xiaoyu Xu, Hongbo Chen, Chenliang Zhang, Yanhui Duan, Guangxue Wang

“…In aerodynamic shape optimization, geometric parameterized variables have a significant impact on the flow field, thereby influencing both the effectiveness and efficiency of the optimization process. …”
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A domain free of the zeros of the partial theta function by V. Kostov

“…For each $q$ fixed, $\theta$ is an entire function of order $0$ in the variable~$x$. When $q$ is real and $q\in (0,0.3092\ldots )$, $\theta (q,.)$ is a function of the Laguerre-P\'olya class $\mathcal{L-P}I$. …”
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Multi-UAV Cooperative Suspension Control Strategy Considering Variable Rope Length and Load Posture Coupling Effect by Yi Wang, Kang Li, Xuefu Li, Jingyu Wang, Pengbo Yu

“…On this basis, the traditional dynamic model is improved, with a focus on the impact of variable rope length, analyzing the dynamic coupling relationship between rope length and swing angle, and constructing related coupling error functions to improve the stability and control accuracy of the system. …”
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Experimental Study on Desorption Characteristics of Coalbed Methane under Variable Loading and Temperature in Deep and High Geothermal Mine by Haifeng Ma, Lingjie Wang, Housheng Jia, Jucai Chang, YingMing Li, Xiangyang Zhang, Zuxiang Hu, Zhiqiang Yin

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Heart Rate Variability as a Marker of Disease Severity in Pulmonary Arterial Hypertension: A Prospective Cohort Study by Arun Jose, Alex D. Moseley, Manisha Das, Robert E. O'Donnell, Jean M. Elwing

“…Comparable relationships were observed between heart rate captured using HRV device and these CMR measures (RVEF coefficient −0.37, p = 0.007; coupling ratio coefficient −0.013, p = 0.016). …”
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THE PROBLEM OF ENERGY EFFICIENCY OF SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE OF THE INTERNET OF THINGS (AIOT) by С. В. Войтко

“…The emphasis is on allocating conventionally fixed and conventionally variable costs for AIoT. It was determined that integrating artificial intelligence functionality into the IoT infrastructure provides the opportunity to store big data for processing using artificial intelligence elements capable of conducting predictive analysis to make informed management decisions. …”
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An Efficient Coupled Genetic Algorithm-NLP Method for Heat Exchanger Network Synthesis

“…Solving such problems leads to difficulties in the optimization of continuous and binary variables. This paper presents a new efficient and robust method in which structural parameters are optimized by genetic algorithm (G.A.) and continuous variables are handled due to a modified objective function for maximum energy recovery (MER). …”
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The Role of Profitability and Liquidity in Meeting the Feasibility Standards of Sharia Banking with Capital Adequacy as A Moderating Variable in Indonesia by Padli Pawaid Yahya, Joko Setyono

“…Control variables include Net Profit Margin (NPM), Operational Efficiency (BOPO), and Loan to Deposit Ratio (LDR). …”
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Evaluation of the Efficiency of Metaheuristic Algorithms in the Optimal Design of Pile Wall Retaining Systems by Farshad Taiyari

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Optimization of non-smooth functions via differentiable surrogates. by Shikun Chen, Zebin Huang, Wenlong Zheng

“…These models are commonly used to predict outputs based on a combination of fixed parameters and adjustable variables. A key transition in optimization involves moving beyond simple prediction to determine optimal variable values. …”
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Modeling fin efficiency considering transverse temperature gradients in rocket engine cooling channels by Volodymyr Sliusariev, Valerii Bucharskyi

“…This study aims to improve the accuracy of methods for determining fin efficiency. Its goal is to derive calculation relationships for finning coefficients that account for transverse temperature non-uniformity within the fin cross-section. …”
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