Paddles and fins are used during swim training and practice as tools for improving performance. The use of these equipment can alter physiological and kinematic parameters of swimming. The purpose of this literature review was to present and discuss the effects of paddles and fins on kinematic and physiological variables in front crawl, and provide update on the topic for teachers, researchers,...

Nowadays, the increasing demand for energy in the world is one of the main concerns for energy supply. In fact, the required energy can be obtained by increasing the production rate of fossil fuels such as oil and natural gas. However, improving the efficiency of the equipment and facilities might have a significant impact on production from hydrocarbon resources. With respect to this subject, ...

Our study examined the mechanism of oxygen reduction reactions (ORR) at square paddle-wheel cage active site TM-BTC metal-organic frameworks (MOFs), where TM is a transition metal, Mn, Fe, or Cu. We used combination density functional theory (DFT) and microkinetic calculations to investigate this mechanism. By using small cluster for modeling structure, we successfully reproduced experimental t...

Mimicry of natural enzyme systems is an important approach for catalyst design. To create enzyme-inspired catalyst, it essential to mimic both the active center and second coordination sphere. Metal–organic frameworks (MOFs), emerging class porous materials, are ideal candidates heterogeneous catalysts because their versatile building blocks confer a high level structural tunability, chemical e...

Abstract Natural gas is a key energy source to achieve the carbon peaking and neutrality goals in China. Dehydration de-hydrocarbon process crucial for pipeline transportation of natural since water hydrocarbons would condense cause corrosion freeze-blockage pipeline. The supersonic separator innovative low-temperature separation equipment characterized by simpler structure higher refrigeration...

The Gaussian process model is an example of a flexible, probabilistic, nonparametric model with uncertainty predictions. It can be used for the modelling of complex nonlinear systems and recently it has also been used for a dynamic systems identification. Gaussian process models have become an emerging, complementary method for a nonlinear system identification. The output of the GP model is a ...

This paper presents a numerical study of the gas-powder flow in a typical Lapple cyclone. The gas flow is obtained by the use of the Reynolds stress model. The resulting pressure and flow fields are verified by comparison with the measured results and then used in the determination of powder flow that is simulated by the use of a Stochastic Lagrangian model. The separation efficiency and trajec...