Zobrazeno 1 - 10
of 1 118
pro vyhledávání: '"Šipka A"'
Publikováno v:
Archive of Oncology, Vol 30, Iss 1, Pp 25-28 (2024)
Lymphoepithelioma-like carcinoma of the cervix (LELC) is a rare subtype of squamous cell carcinoma. This is a case report of a 40-year-old female patient diagnosed with LELC. The tumor is clinically presented as an exophytic mass on the front lip of
Externí odkaz:
https://doaj.org/article/82f1e80651244e4eb093b16f9f70c691
Autor:
Sharma, Rahul, Redyuk, Sergey, Mukherjee, Sumantrak, Sipka, Andrea, Vollmer, Sebastian, Selby, David
Explainable AI (XAI) and interpretable machine learning methods help to build trust in model predictions and derived insights, yet also present a perverse incentive for analysts to manipulate XAI metrics to support pre-specified conclusions. This pap
Externí odkaz:
http://arxiv.org/abs/2401.08513
Autor:
Battiau-Queney, Yvonne, Ventalon, Sandra, Abraham, Romain, Sipka, Vincent, Cohen, Olivier, Marin, Denis
Publikováno v:
Journal of Coastal Research, 2024 Jan 01. 40(1), 80-103.
Externí odkaz:
https://www.jstor.org/stable/48772749
Autor:
Erlebach, Andreas, Šípka, Martin, Saha, Indranil, Nachtigall, Petr, Heard, Christopher J., Grajciar, Lukáš
Under operating conditions, the dynamics of water and ions confined within protonic aluminosilicate zeolite micropores are responsible for many of their properties, including hydrothermal stability, acidity and catalytic activity. However, due to hig
Externí odkaz:
http://arxiv.org/abs/2307.00911
In this paper, we present neural networks learning mechanical systems that are both symplectic (for instance particle mechanics) and non-symplectic (for instance rotating rigid body). Mechanical systems have Hamiltonian evolution, which consists of t
Externí odkaz:
http://arxiv.org/abs/2305.05540
Simulating rare events, such as the transformation of a reactant into a product in a chemical reaction typically requires enhanced sampling techniques that rely on heuristically chosen collective variables (CVs). We propose using differentiable simul
Externí odkaz:
http://arxiv.org/abs/2301.03480
Autor:
Park, Seol Ah, Sipka, Tamara, Kriva, Zuzana, Lutfalla, George, Nguyen-Chi, Mai, Mikula, Karol
The automated segmentation and tracking of macrophages during their migration are challenging tasks due to their dynamically changing shapes and motions. This paper proposes a new algorithm to achieve automatic cell tracking in time-lapse microscopy
Externí odkaz:
http://arxiv.org/abs/2301.00765
On the time scales accessible to atomistic numerical modelling, chemical reactions are considered rare events. Atomistic simulations are typically biased along a low-dimensional representation of a chemical reaction in an atomic structure space, i.e.
Externí odkaz:
http://arxiv.org/abs/2203.08097
Autor:
Gammariello, C.S., Hanson, J., Relling, A.E., Oliveira, M.X.S., Sipka, A.S., Enger, K.M., Enger, B.D. *
Publikováno v:
In Journal of Dairy Science August 2024 107(8):6148-6160
Publikováno v:
In Inorganica Chimica Acta 1 January 2025 574