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161
Risk assessment of rail transit systems with variable renewable energy based on uncertain random theory
Published 2025-03-01“…Variable renewable energy access to rail transportation is an effective way for electrified railroads to realize their own efficient and renewable energy use, however, the uncertainty of variable renewable energy also brings risks to the reliable transportation of railroad. …”
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162
GWO and WOA variable step MPPT algorithms-based PV system output power optimization
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163
Significance of dissipative flow on a second-grade nanofluid with variable thermal properties on the stretching surface
Published 2025-05-01“…Boundary conditions are used for the analysis of heat and mass transmission. Stream functions and similarity variables are utilized to reduce the complexity of the governed PDEs (partial differential equations) and altered into ODEs (ordinary differential equations). …”
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164
Increasing constraint of aridity on tree intrinsic water use efficiency
Published 2025-08-01“…Abstract The intrinsic water use efficiency (W) of trees serves as a key variable linking water and carbon fluxes in forest ecosystems. …”
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165
Acid-Activated Biochar for Efficient Elimination of Amoxicillin From Wastewater
Published 2024-01-01“…In exploring the potential of agricultural waste as an efficient adsorbent, acid-activated coconut husk biochar was prepared, characterized and applied to remove amoxicillin from wastewater. …”
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166
Self-optimization of Wind Turbine Variable-pitch Control Parameters Based on Adaptive Genetic Algorithm
Published 2024-04-01“…For the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable-pitch control parameters based on adaptive genetic algorithm, including variable-gain variable-pitch PID parameter self-optimization and tower damping parameter self-optimization. …”
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167
Hereditary angioedema diagnosis evaluation score (HADES): A new clinical scoring system for predicting hereditary angioedema with C1 inhibitor deficiency
Published 2025-05-01“…Blood samples were analyzed for C1-INH/C1q levels and C1-INH function. A predictive score was developed from the odds ratios derived from multivariate logistic regression analysis. …”
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168
Numerical modeling for optimized sediment deflection with variable submergence over a row of submerged vanes
Published 2025-04-01“…This research examines the potential for improved sediment deflection efficiency through the optimisation of variable submergence. …”
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169
Efficiency Assessment of a High-Speed Tracked Vehicle Hybrid Powertrain
Published 2025-07-01“…This is to prove the argument of the efficiency benefits of electrifying the vehicle turning mechanism and eliminating the friction elements slip. …”
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170
A STUDY OF THE DETERMINANTS OF THE OLIVE CROP PRODUCTION IN NINEVEH PROVINCE: BASHIQA DISTRICT AS A CASE STUDY FOR THE SEASON 2010
Published 2017-06-01“…The Output of the olive crop was considered as the explanatory variable and the total cost in Iraqi Dinar is considered as dependant variable. …”
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171
Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board
Published 2025-06-01“…In order to demonstrate the efficiency, adaptability and advantages of ANFIS controller, several comparative experiments are carried out using different controllers (ANFIS, conventional PI and PI regulator with the modified wave variable method PI+MWVM). …”
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172
Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle
Published 2025-06-01“…The G theory is based on the P-T probability framework and, therefore, allows for the use of truth, membership, similarity, and distortion functions (related to semantics) as constraints. Based on the study of the <i>R</i>(<i>G</i>) function and logical Bayesian Inference, this paper proposes the Semantic Variational Bayesian (SVB) and the Maximum Information Efficiency (MIE) principle. …”
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173
Efficient bit labeling in factorization machines with annealing for traveling salesman problem
Published 2025-07-01“…Abstract To efficiently determine an optimum parameter combination in a large-scale problem, it is essential to convert the parameters into available variables in actual machines. …”
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174
Sharp L2 Norm Convergence of Variable-Step BDF2 Implicit Scheme for the Extended Fisher–Kolmogorov Equation
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175
Efficient curve fitting with penalized B-splines for oceanographic and ecological applications
Published 2025-07-01“…The total variation penalty controls curve smoothness by penalizing abrupt changes in the estimated function, while the group penalty ensures that all response variables share a consistent set of knots, enhancing interpretability. …”
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176
Multimodal bearing fault classification under variable conditions: A 1D CNN with transfer learning
Published 2025-09-01“…Bearings play an integral role in ensuring the reliability and efficiency of rotating machinery — reducing friction and handling critical loads. …”
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177
Comparison Study of Method for Calculation of Mesh Efficiency of Involute Gear Pair
Published 2019-12-01“…Taking the distance between pitch point and contact point as a variable, two expressions of instantaneous efficiency of gear pair are derived from the perspective of work and force. …”
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178
The dichotomy of human decision-making: An experimental assessment of stone tool efficiency.
Published 2025-01-01“…This strongly suggests that each raw material used in archaeological contexts to produce blanks should be evaluated for its efficiency. In addition, it may be pertinent to extend this approach to other blunt artefactssuch as scrapers, burins, anvils, and hammerstones when investigating aspects of interconnected behaviours such as artefact variability, resource economy, group mobility, and site function. …”
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179
PRODUCTIVITY AND EFFICIENCY OF MAIZE (ZEA MAYS) FARMERS IN ADAMAWA STATE, NIGERIA
Published 2024-01-01“…Education and extension contact were statistically significant (p≤0.05) and increase technical efficiency among respondents. Furthermore, the stochastic cost function analysis indicated that 80.24% variations in allocative efficiencies were as a result of the variables included in the model. …”
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180
Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning
Published 2025-05-01“…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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