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341
Upper-Bound Analysis of Slope Reliability Considering Anisotropic Spatial Variability and Reinforcement with Anti-slide Piles
Published 2025-01-01“…To ensure that the random field demonstrates general rotational anisotropy, the autocorrelation function was transformed through a coordinate system conversion before the decomposition of the autocorrelation coefficient matrix. …”
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342
Analysis of Current Ratio and Debt to Equity Ratio on Return On Assets with Company Size as a Moderating Variable
Published 2025-03-01“…This means that an increased liquidity, along with the proportion of debt can reduce the efficiency and profitability of the company. Company size strengthens the effect by functioning as a moderating variable. …”
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343
Construction and analysis of one class of cryptographic functions
Published 2013-04-01“…A novel class of n+t -variable Boolean functions G (x,y) through adding t variables while concatenating t+ 1 Boolean functions (called basic function) was constructed and the Walsh spectrum and autocorrelation coefficient of G(x,y)were given.The relationship between G(x,y)and basic functions by Krawtchouk polynomial and Krawtchouk matrix was studied.Moreover,their cryptographic properties:correlation immunity,propagation and algebraic immunity were investigated.Specially,the detailed relationship between G (x,y) and basic functions when t= 2 was analyzed.In additional,a novel class of multioutput Boolean functions by generalizing the method was constructed and the general Walsh spectrum of the class of multioutput Boolean functions was proposed.Correlation immunity and algebraic immunity of the class of multioutput Boolean functions were analyzed.…”
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344
Construction and analysis of one class of cryptographic functions
Published 2013-04-01“…A novel class of n+t -variable Boolean functions G (x,y) through adding t variables while concatenating t+ 1 Boolean functions (called basic function) was constructed and the Walsh spectrum and autocorrelation coefficient of G(x,y)were given.The relationship between G(x,y)and basic functions by Krawtchouk polynomial and Krawtchouk matrix was studied.Moreover,their cryptographic properties:correlation immunity,propagation and algebraic immunity were investigated.Specially,the detailed relationship between G (x,y) and basic functions when t= 2 was analyzed.In additional,a novel class of multioutput Boolean functions by generalizing the method was constructed and the general Walsh spectrum of the class of multioutput Boolean functions was proposed.Correlation immunity and algebraic immunity of the class of multioutput Boolean functions were analyzed.…”
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345
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346
The Impact of the Preferential Attachment Level on the Innovation Network Structure and Innovation Efficiency
Published 2021-01-01“…In the formation process of innovation networks, the level of preferential attachment between agents has an important impact on the resulting structural and functional characteristics of a network. A simulation model of innovation networks with variable preferential levels of attachment is established to study these impacts. …”
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347
An innovative high-throughput genome releaser for rapid and efficient PCR screening
Published 2025-03-01“…Additionally, we developed software to support its automated functions. Our results demonstrated that the specially engineered 96-well plate and HTGR effectively squash fungal spores, releasing sufficient genomic DNA for PCR screening with 100% efficiency. …”
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348
Experimental analysis of innovative perforated heat sinks for enhanced photovoltaic efficiency
Published 2025-01-01“…The experimental setup was placed on a roof terrace, exposing the panels to real-world weather and functional conditions. Each cooling solution, designed with variable characteristics, aimed to efficiently dissipate heat generated by the PV panels, particularly during warmer seasons. …”
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349
Short light/dark cycles favour photosynthetic efficiency and growth in grapevines
Published 2025-07-01“…We evaluated photosynthetic efficiency, leaf growth, biomass production and partitioning, and resource use efficiency (water and light). …”
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350
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351
Using Wearable Inertial Sensors to Estimate Kinematic Parameters and Variability in the Table Tennis Topspin Forehand Stroke
Published 2020-01-01“…The large intraindividual variability in movement was probably functional (i.e., motor adjustment and injury avoidance). …”
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352
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353
Quantitative estimation of fuzzy crisis management
Published 2021-03-01“…This degree is determined here not by the function of the corresponding fuzzy measure, but by the weight coefficients of the significance of crisis management options and the real resources for their implementation.…”
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354
Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces
Published 2024-11-01“…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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355
Biochar and its impact on soil profile and plant development
Published 2024-12-01Get full text
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356
Safety Performance Functions for Low-Volume Roads
Published 2011-12-01“…The research study presented here has been used to calibrate crash prediction models (CPMs) per kilometer per year. The coefficients of the CPMs are estimated using a non-linear multi-variable regression analysis utilizing the least – square method. …”
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357
New feedback functions for synchronizing chaotic maps
Published 1998-01-01“…Synchronization of chaotic maps is studied using the method of variable feedback. A general method is presented for generating feedback functions for maps. …”
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358
An Efficient Coupled Genetic Algorithm-NLP Method for Heat Exchanger Network Synthesis
Published 2008-01-01“…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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