Hungary Archives - EUCYS 2021 SALAMANCA

2021, Hungary, Medicine / 19.07.2021

Development of a new, multicellular network model of the epithelial-mesenchymal transition (EMT) and finding a new potential drug target by building hybrid EMT in the model

Epithelial-mesenchymal transition (EMT) contributes to the development of cancer metastases. Our research group built a new, multicellular network model of the process in order to find new possible drug-targets for the abrogation of metastases. My aim was to find a possible drug-target for the treatment of hybrid EMT cells. This phenotype was built in the model and cell-cell simulations were...

2021, Engineering, Hungary / 19.07.2021

PenAlone, development of a writing and drawing tool compatible with arbitrary surface

Due to the constantly increasing demand for digital devices, smart writing tools based on different operating principles have also been developed. In the frame of Hungarian Contest for Young Scientist I also have developed a digital writing and drawing tool utilizing a silicon-based MEMS (microelectromechanical system) 3D force sensor. One can draw or write on arbitrary surface with this wireless...

2021, Hungary, Physics / 19.07.2021

In the footsteps of an invisible companion around an exotic eclipsing binary star system

The J0640+3856 is a subdwarf red-dwarf eclipsing binary system which was discovered in 2015. at Piszkéstető Observatory. The discovered star has an orbital period of 0.187284394 days and the optical eclipse depth in excess of 6 magnitudes. The special featu-re of the described binary is that, it is the binary with the deepest eclipses compared to other binary systems. I...

2020, Engineering, Hungary / 16.07.2021

Remote controlled mars rover and its applications in the teaching of the mechanical, computer, and physics sciences

My aim was to build a remote-controlled mars rover based on Opportunity with similar basic functions. The construction of the whole vehicle is unique, I designed all the components myself, both mechanically and electronically, with a few exceptions eg: engines, camera...

2020, Computing, Hungary / 16.07.2021

Rip Current Detection – An Orientation-aware Machine Learning Approach

A rip current is a natural phenomenon that causes numerous fatal accidents all over the world. I detect and localize rip currents with a deep neural network called Faster R-CNN. I assembled a custom database of rip currents and used transfer learning, resulting in an accuracy of 85.19% (IoU threshold: 0.5) and an AP of 0.37. In addition, I developed...