Search alternatives:
coefficiency. » efficiency. (Expand Search)
coefficient. » coefficiency. (Expand Search)
efficient. » efficiency. (Expand Search)
coefficiency. » efficiency. (Expand Search)
coefficient. » coefficiency. (Expand Search)
efficient. » efficiency. (Expand Search)
-
81
Thrust-efficiency limits of a swimming tail with variable chordwise flexural rigidity
Published 2025-02-01Get full text
Article -
82
Improvement of Multi-functional Air-conditioning Water Heaters
Published 2015-01-01Get full text
Article -
83
-
84
An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions
Published 2025-01-01“…During real observations, images obtained by optical telescopes are affected by spatially variable point-spread functions (PSFs), a crucial effect requiring accurate simulation. …”
Get full text
Article -
85
Impact of CYP3A4 functional variability on ziprasidone metabolism
Published 2025-04-01“…This study explored the functional variability of CYP3A4 in ziprasidone metabolism, focusing on drug interactions and genetic polymorphisms.MethodsThe metabolic inhibition and kinetic properties of ziprasidone were evaluated through in vitro experiments utilizing rat liver microsomes (RLM), human liver microsomes (HLM), and CYP3A4 baculosomes. …”
Get full text
Article -
86
Arbitrary Random Variables and Wiman’s Inequality
Published 2024-10-01“…We study the class of random entire functions given by power series, in which the coefficients are formed as the product of an arbitrary sequence of complex numbers and two sequences of random variables. …”
Get full text
Article -
87
VEGETATIVE PROVISION INDICATORS OF CARDIOVASCULAR SYSTEM AND PHYSICAL EFFICIENCY OF WOMEN ATHLET-SPRINTERS
Published 2014-02-01Get full text
Article -
88
On the Generalized $ \overline{\theta({\tt{t}})} $-Fibonacci sequences and its bifurcation analysis
Published 2025-01-01Get full text
Article -
89
Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements
Published 2024-12-01“…SMAP L3.0, ASCAT V3.0, ESA/CCI V7.1 and GLDAS V2.2) are vital for applications in hydrology, climate variability, and agriculture. This study uses a new SSM evaluation approach by combining temporal evolution, Coefficient of Variation (CV), Cumulative Distribution Function (CDF), evaluation metrics, and Triple Collocation Analysis (TCA) to assess SSM accuracy and spatial–temporal variability, particularly the impact of footprint mismatch when comparing retrieved SSM with in-situ measurements. …”
Get full text
Article -
90
Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions
Published 2025-06-01“…Applying the variables screening technique can enhance the efficiency of the airfoil optimization process under acceptable accuracy.…”
Get full text
Article -
91
Brain activation and heart rate variability as markers of autonomic function under stress
Published 2025-08-01“…Since the neural dynamics underlying brain–heart interactions remain poorly understood, this study investigated brain activation and heart rate variability (HRV) during stress and relaxation. Functional magnetic resonance imaging (fMRI) and peripheral heart rate assessment were used to assess brain–heart coupling during breathing-induced relaxation, psychosocial stress and stress recovery in 32 healthy participants. …”
Get full text
Article -
92
The analysis of the "Theory of functions of the complex variable" test with attraction of models Russia and Birnbaum
Published 2019-03-01“…In work the analysis of the "Theory of Functions of a Complex Variable" test is carried out. …”
Get full text
Article -
93
-
94
Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline
Published 2022-03-01“…This methodology was applied to a boiler house of a district heating system. Relevant variables were formed using a three-stage selection of fac-tors that influence the gas consumption efficiency of the boiler house. …”
Get full text
Article -
95
Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy
Published 2013-01-01“…We propose a knowledge-based variable reduction strategy (VRS) that can be integrated into EAs to solve unconstrained and first-order derivative optimization functions more efficiently. …”
Get full text
Article -
96
Regional Variability in Growth and Leaf Functional Traits of <i>Mitragyna speciosa</i> in Thailand
Published 2025-02-01“…This study examined the leaf functional traits associated with kratom’s growth in the southern (native habitat), central, and northeastern regions of Thailand. …”
Get full text
Article -
97
ResPoNet: A Residual Neural Network for Efficient Valuation of Large Variable Annuity Portfolios
Published 2025-06-01Get full text
Article -
98
Experimental Study on Optimal Refrigerant Charge of Multi-functional Air-conditioning Hot Water Heater
Published 2015-01-01“…A new type of double-flow accumulator was developed, which can automatically adjust the amount of circulating refrigerant on the system of multi-functional air-conditioning/hot-water heater so that the system was more stable and efficient under multi-working modes. …”
Get full text
Article -
99
Correlation and path analysis of interaction between snap beans yield and its components with crop management
Published 2021-03-01“…Results showed that fresh weight of pod/studied variant (+++0.99), fresh weight of one pod (+++0.77), fresh weight of pods/ plant (+++0.67), calcium content in bean pods (++0.57), pods number /plant (++0.51), pollen fertility (++0.44) had positive impact on yield. The partial function of the studied parameters on variability of bean yield is 98.9%. …”
Get full text
Article -
100
On a geometric approach to the estimation of interpolation projectors
Published 2023-09-01“…Here $\sigma S$ is the result of homothety of $S$ with respect to the center of gravity with coefficient $\sigma$. Let $d\geqslant n+1,$ $\varphi_1(x),\ldots,\varphi_d(x)$ be linearly independent monomials in $n$ variables, and $\varphi_1(x)\equiv 1,$ $\varphi_2(x)=x_1,\ \ldots, \varphi_{n+1}(x)=x_n.$ Put $\Pi:=$lin$(\varphi_1,\ldots,\varphi_d).$ The interpolation projector $P: C(\Omega)\to \Pi$ with a set of nodes $x^{(1)},\ldots, x^{(d)} \in \Omega$ is defined by equalities $Pf\left(x^{(j)}\right)=f\left(x^{(j)}\right).$ Denote by $\|P\|_{\Omega}$ the norm of $P$ as an operator from $C(\Omega)$ to $C(\Omega)$ . …”
Get full text
Article