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1041
Indirect sliding mode adaptive fractional order nonlinear observer based controller with fractional order single-ended primary inductor converter
Published 2025-09-01“…Moreover, simulation results demonstrate that the proposed strategy increases efficiency to 99%. Additionally, with a load variation from 10Ω to 80Ω, the controller effectively maintains control with minimal overshoot. …”
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1042
Proportional Topology Optimization algorithm for two-scale concurrent design of lattice structures
Published 2023-06-01“…Here, the objective function is reformulated such that the contribution of each micro-scale design variable can be determined, facilitating the employment of PTO. …”
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1043
Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm...
Published 2025-06-01“…For comparison, the discrete-continuous versions of the vortex search algorithm (VSA), the sine-cosine algorithm (SCA), Phasor Particle Swarm Optimization (PPSO), New Self-Organising Hierarchical PSO (NHPSO-JTVAC), Differential Evolution (DE), Gold Search Optimization (GSO) and the classical version of JAYA are used, validating the effectiveness of our proposal on the 33- and 69-bus test systems while considering variable generation and demand. In terms of the best solution, the average solution, and the required processing times, the AJAYA-SA strategy yields the best results in both test systems, making it the most efficient method to solve the problem under study.…”
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1044
Domain knowledge-driven decomposition-based large-scale optimization for ship cabin structures
Published 2025-06-01“…Each girder size variable is separately grouped, and the corresponding subproblem's objective function is the weight of the cabin structure. …”
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1045
Design optimization of inner and outer‐rotor PMSGs for X‐ROTOR wind turbines
Published 2024-10-01“…The GA optimization algorithm was used to find optimized designs in terms of efficiency, weight, cost, and temperature rise. In order to find the global optimization solution within the allowed variable range and in accordance with the constraints, a combined objective function has also been defined. …”
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1046
Sustainability Reporting in Value Creation: The Critical Mediation of Environmental Management Accounting
Published 2024-12-01“…This study examines the essential function of Environmental Management Accounting (EMA) as a mediating variable in the correlation between sustainability report disclosures and firm value. …”
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1047
Robot welding trajectory optimization based on intersecting line welds
Published 2024-01-01“…ObjectiveOperational efficiency, smoothness and energy consumption have been bottlenecks in the trajectory optimization for industrial robots in the non-contact processing such as welding and painting. …”
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1048
DESIGN OF BED SADDLE OF HIGH-SPEED PRECISION CNC LATHE BASED ON TOPOLOGY OPTIMIZATION
Published 2017-01-01“…Firstly,according to variable density method,which makes bed saddle quality be objective function and allows stiffness as well as natural frequency to be constraint condition was established,then the best structure layout of bed saddle was acquired as a result of topology optimization.Finally,the integral design of the bed saddle was accomplished,with the basis of best structure layout of bed saddle and the requirements of the reasonable design. …”
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1049
THE TEMPERATURE DEPENDENCE OF UNSTEADY HEAT CONDUCTION IN SOLIDS
Published 2019-05-01“…Both in the case of high and low temperatures, the temperature dependences of the heat capacity and the thermal conductivity coefficient are power-law, which allows us to bring the original heat conduction equation to a form that allows the use of the classical method of variable separation in solving the corresponding boundary value problems for the heat conduction equation. …”
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1050
Estimation of Stochastic Frontier Models with Fixed Effects through Monte Carlo Maximum Likelihood
Published 2011-01-01“…This paper proposes a procedure for choosing appropriate densities for integrating the incidental parameters from the likelihood function in a general context. The densities are based on priors that are updated using information from the data and are robust to possible correlation of the group-specific constant terms with the explanatory variables. …”
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1051
An improved robust variance inflation factor: Reducing the negative effects of good leverage points
Published 2023-03-01“…It is defined as the function of the coefficient of determination between the explanatory variables, and it is based on the maximum likelihood estimator of the regression coefficients. …”
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1052
High resolution satellite imaging 0.5U-size freeform telescope for CubeSat
Published 2025-03-01“…The proposed design algorithm proved to be computationally efficient. It enabled to obtain the excellent imaging of the designed telescope, which from mathematical perspective becomes a challenging multi-variable optimization task, unattainable with the standard optimization procedures included in the commercial optical design software.…”
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1053
Finding the optimal probe state for multiparameter quantum metrology using conic programming
Published 2024-11-01“…The algorithm involves a conic program, which minimizes a linear objective function subject to conic constraints on a operator-valued variable. …”
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1054
The Effect of Capital Ownership and Ownership Spread on Economic Income Distribution
Published 2023-06-01“…According to the obtained results, an increase in the ratio of publicly traded stocks improves income distribution; in other words, the GINI coefficient decreases. This result was determined to be more intense in the Turkish economy with the dummy variables that were used. …”
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1055
Comparing the Effect of Beractant (Beraksurf™) with That of Poractant Alfa (Curosurf®) on the Need for Intermittent Positive Pressure Ventilation in Neonatal Respiratory Distress S...
Published 2025-02-01“…Performing appropriate adjusted analysis leads to a more interpretable and efficient estimation of treatment effects. Semiparametric adjustment approach modifies the estimating equations solved by the marginal treatment effect estimator by adding an augmentation function, which makes use of the baseline covariates and estimate the unbiased marginal treatment effect with improved precision. …”
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1056
Association between weight-bearing ankle dorsiflexion range of motion during deep squat sitting and quality of life after ankle fracture surgery: a cross-sectional study
Published 2025-08-01“…Multivariate analysis was performed using the four subscales of the SAFE-Q (pain and pain-related, physical functioning and daily living, social functioning, and general health and well-being) as dependent variables.ResultsThe multivariate analysis revealed that weight-bearing ankle dorsiflexion ROM during deep squat sitting was an independent variable for pain and pain-related [standardized partial regression coefficient (β) = 0.584, P < 0.001], physical functioning and daily living (β = 0.376; P = 0.006), social functioning (β = 0.317; P = 0.045), and general health and well-being (β = 0.483; P = 0.005). …”
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1057
Development and optimization of an electrohydrodynamic dehydrator using ANN-GA for improved energy performance
Published 2025-09-01“…The diffusion coefficient extracted from the moisture ratio function was used to assess the drying kinetics, while SEC was used to evaluate the energy efficiency of the EHD dehydrator under different parameter settings. …”
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1058
The role of housing price mediation in transferring the effect of heterogeneous behavior of investors in the housing sector on Iran's economic growth
Published 2024-04-01“…The housing price is also a variable of economic growth function transfer with a threshold equal to 0.0266 percent The estimated coefficients of the first and second regimes indicate the asymmetric behavior of investors on housing prices. …”
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1059
Regression analysis and artificial neural networks for predicting pine species volume in community forests
Published 2025-11-01“…The regression approach employed seemingly unrelated nonlinear regression (NSUR) to fit simultaneous additive volume systems using both one- and two-variable models. In this approach, volume was modeled as a function of diameter at breast height (d) alone and as a function of both d and total tree height (h). …”
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1060
ABOUT SOME FEATURES OF TRANSMISSION MODE FOR ACTIVE POWER OF ELECTRICAL LINE
Published 2013-12-01“…It enteritis that for the active character load of the active power input and power output of the line, so functions , and functions that characterize developments efficiency , power factor at the input line and the load power factor when the variable z. …”
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