Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Katarzyna Bień"'
Autor:
Magdalena Niebrzydowska-Tatus, Aleksandra Pełech, Katarzyna Bień, Anna K. Rekowska, Aleksandra Domańska, Żaneta Kimber-Trojnar, Bożena Leszczyńska-Gorzelak, Marcin Trojnar
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 7, p 3759 (2024)
Fetal programming is a process initiated by intrauterine conditions, leaving a lasting impact on the offspring’s health, whether they manifest immediately or later in life. It is believed that children born to mothers with gestational diabetes mell
Externí odkaz:
https://doaj.org/article/a386b930496f40629be315ceb2aa9cef
Autor:
Magdalena Niebrzydowska-Tatus, Aleksandra Pełech, Katarzyna Bień, Julia Mekler, Miracle Santiago, Żaneta Kimber-Trojnar, Marcin Trojnar
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 3, p 1829 (2024)
Gestational diabetes mellitus (GDM) is considered one of the most common diseases that occur during pregnancy. In addition to increasing the risk of numerous complications throughout gestation, it is also believed to have a long-term potential to imp
Externí odkaz:
https://doaj.org/article/dd454670e86746278c0fd3e8ab877f7d
Autor:
Emilia Wagner, Katarzyna Bień, Aleksandra Łomża, Arkadiusz Grunwald, Żaneta Kimber-Trojnar, Aneta Libera, Bożena Leszczyńska-Gorzelak
Publikováno v:
Life, Vol 13, Iss 8, p 1757 (2023)
Stress is a process that triggers various physiological, hormonal and psychological mechanisms in response to a threat, which significantly affects the health of an individual. The COVID-19 pandemic introduced a lot of social changes that required co
Externí odkaz:
https://doaj.org/article/7e84875feb23479e88fe108077a14692
Autor:
Aleksandra Pełech, Monika Ruszała, Magdalena Niebrzydowska-Tatus, Katarzyna Bień, Żaneta Kimber-Trojnar, Monika Czuba, Małgorzata Świstowska, Bożena Leszczyńska-Gorzelak
Publikováno v:
Biomolecules, Vol 13, Iss 4, p 697 (2023)
Gestational diabetes mellitus (GDM) is a common metabolic disease that occurs during pregnancy, with the placenta playing an important role in its pathophysiology. Currently, the role of galectin-9 in the development of GDM is unknown. The aim of thi
Externí odkaz:
https://doaj.org/article/b7c70f9c34644dd49e941f62fdf1a99a
Publikováno v:
Nutrients, Vol 13, Iss 4, p 1098 (2021)
Identifying factors that affect mortality requires a robust statistical approach. This study’s objective is to assess an optimal set of variables that are independently associated with the mortality risk of 433 older comorbid adults that have been
Externí odkaz:
https://doaj.org/article/2ee821e0a38041c4affe0b43fb42b38e
Autor:
Katarzyna Bień-Barkowska
Publikováno v:
Entropy, Vol 22, Iss 7, p 789 (2020)
Forecasting market risk lies at the core of modern empirical finance. We propose a new self-exciting probability peaks-over-threshold (SEP-POT) model for forecasting the extreme loss probability and the value at risk. The model draws from the point-p
Externí odkaz:
https://doaj.org/article/a00d5fe4d65a489db92d7bde59fc5d1f
Publikováno v:
Nutrients, Vol 10, Iss 8, p 1104 (2018)
The study objective is to investigate whether vitamin D is associated with the cognitive function of geriatric patients. This cross-sectional study involved 357 patients hospitalized in the geriatric ward who complained of memory problems (mean age:
Externí odkaz:
https://doaj.org/article/d9596348c88443408cc52497a34ec7c0
Autor:
Katarzyna Bień‐Barkowska
Publikováno v:
Applied Stochastic Models in Business and Industry.
Autor:
Katarzyna Bień-Barkowska
Publikováno v:
International Journal of Computer Mathematics. 94:2223-2238
We extend the asymmetric autoregressive conditional duration (AACD) model of Bauwens and Giot [Asymmetric ACD models: Introducing price information in ACD models, Empir. Econ. 28 (2003), pp. 709–731] which allows describing the joint dynamics of fi
Publikováno v:
Nutrients
Volume 13
Issue 4
Nutrients, Vol 13, Iss 1098, p 1098 (2021)
Volume 13
Issue 4
Nutrients, Vol 13, Iss 1098, p 1098 (2021)
Identifying factors that affect mortality requires a robust statistical approach. This study’s objective is to assess an optimal set of variables that are independently associated with the mortality risk of 433 older comorbid adults that have been