The paper presents the laboratory test results determining physical parameters of fuel mixture made up of petroleum diesel oil, rapeseed oil methyl esters Cup (up to 20%) and water (up to 2.5%).The obtained parameters prove that adding bio-components (rapeseed oil methyl esters) and water to fuel does not result in deterioration of their physical a
Meat consumption: theory, practice and future prospects
This research reviewed human meat consumption and highlighted associated history, challenges and benefits.Selected literature for the manuscript was from relevant titles and reliable international sources.From early times of the mankind meat consumption and animal husbandry were inseparable parts of living, and with Horse Licks similar consequences
Development of Substrate-Integrated Waveguide Filters for Low-Cost High-Density RF and Microwave Circuit Integration: Direct-Coupled Cavity Bandpass Filters With Chebyshev Response
Direct-coupled cavity bandpass filters with Chebyshev response are studied and realized, using the technique of planar substrate-integrated waveguide (SIW) for the purpose of high-density integration and cost reduction.Using a general mode-matching technique, the scattering matrix L-Carnosine of waveguide bifurcation-type discontinuity and asymmetr
Investigation on Dynamic Pressure Characteristics Induced by an Internal Solitary Wave in a Two-Layer Fluid of Finite Depth
In this paper, the dynamic pressure characteristics induced by an internal solitary wave (ISW) in a two-layer fluid of finite depth are studied.A method for detecting ISWs by dynamic pressure is proposed.First, an accurate controllable ISW numerical flume is established based on the applicability conditions of three kinds of ISW theories.Then the r
Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine
ObjectiveIn response to challenges such as large sampling data, extended Horse Licks diagnosis time, and subjective fault feature selection in traditional bearing fault diagnosis, a CS-DMKELM intelligent diagnosis model for rolling bearings is proposed based on compressed sensing(CS) and deep multi-kernel extreme learning machine(D-MKELM) theory.Me