Zobrazeno 1 - 10
of 1 636
pro vyhledávání: '"A. Sipka"'
Autor:
M. Wieland, A. Sipka
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 3, Pp 2044-2053 (2023)
ABSTRACT: We conducted a prospective cohort study to investigate the associations of machine milking liner slip with (1) milking performance and (2) cow characteristics. Parlor data including milk flow characteristics and data on the occurrence of mi
Externí odkaz:
https://doaj.org/article/b0df231a7b3242c4a541ec9e2f42062e
Autor:
G. Gioia, J. Freeman, A. Sipka, C. Santisteban, M. Wieland, V. Alanis Gallardo, V. Monistero, J.G. Scott, P. Moroni
Publikováno v:
JDS Communications, Vol 3, Iss 4, Pp 285-290 (2022)
Houseflies (Musca domestica) are nonbiting muscoids of importance because they can be mechanical vectors of many kinds of pathogens such as bacteria, protozoa, viruses, and helminth eggs. This study aimed to evaluate the bacterial communities associa
Externí odkaz:
https://doaj.org/article/eeb3be1960cc4a568dc53b13385b8d70
Autor:
G. Gioia, M. Severgnini, P. Cremonesi, B. Castiglioni, J. Freeman, A. Sipka, C. Santisteban, M. Wieland, V. Alanis Gallardo, J. G. Scott, P. Moroni, M. F. Addis
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 3 (2023)
ABSTRACT Mycoplasma mastitis can be highly contagious, unresponsive to treatment, and cause severe economic problems in affected herds. Notable routes of Mycoplasma spp. transmissions are contaminated milking equipment and animal contact through resp
Externí odkaz:
https://doaj.org/article/528eba5a02ea47b4a9ec3279cfe73ed3
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:
Annamária Bakos, László Libor, Szabolcs Urbán, Tibor Géczi, Mátyás Bukva, József Hőhn, György Lázár, András Nagy, István Farkas, Gábor Sipka, László Pávics, Zsuzsanna Besenyi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Background At least 20% of the future liver remnant must function properly after liver tumor resection to avoid post-hepatectomy liver failure (PHLF). [99mTc]Tc-mebrofenin scintigraphy and SPECT are unique noninvasive, quantitative methods f
Externí odkaz:
https://doaj.org/article/c8b3209912bf45ae8cf4e1214c9cb28f
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