dr inż. Paweł Syty | Gdańsk University of Technology

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dr inż. Paweł Syty

Contact:

email:
pawel.syty@pg.edu.pl
website:
https://mostwiedzy.pl/pawel-syty,15758-1

Positions:

Assistant professor

workplace:
Instytut Fizyki i Informatyki Stosowanej
Gmach B pokój 413
phone:
(58) 348 61 34
dr inż. Paweł Syty

Publications:

  1. Focusing on the noble gases, we calculate the scattering potential using the Dirac-Coulomb Hamiltonian supplemented with a model polarization potential. We determine the scattering lengths using two methods, namely phase shifts for very small scattering energies and the shape of the wave function for zero scattering energy. We compare our theoretical electron scattering length results on Ar, Kr and Xe atoms with existing experimental...

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  2. Publication
    • M. Kaźmierczak
    • M. Rybicka
    • P. Syty

    - Scientific Reports - Year 2024

    Biological drivers of empathy have been explored in an interdisciplinary manner for decades. Research that merges the psychological and genetic perspectives of empathy has recently gained interest, and more complex designs and analyses are needed. Empathy is a multidimensional construct that might be regarded both dispositionally (as a personality trait) and contextually (experienced and/or expressed in a particular relationship/situation)....

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  3. Publication

    - Scientific Reports - Year 2024

    Athletes need to achieve their optimal level of arousal for peak performance. Visualization or mental rehearsal (i.e., Imagery) often helps to obtain an appropriate level of activation, which can be detected by monitoring Skin Conductance Level (SCL). However, different types of imagery could elicit different amount of physiological arousal. Therefore, this study aims: (1) to investigate differences in SCL associated with two instructional...

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  4. Publication

    Renal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...

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  5. Publication

    - Scientific Reports - Year 2023

    Imagery is a well-known technique in mental training which improves performance efficiency and influences physiological arousal. One of the biomarkers indicating the amount of physiological arousal is skin conductance level (SCL). The aim of our study is to understand how individual differences in personality (e.g. neuroticism), general imagery and situational sport anxiety are linked to arousal measuring with SCL in situational...

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Projects: