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Akademický článek

Metabolic effects of a novel microfiltered native whey protein in diet-induced obese mice

Autor: Jin Shi, Anu Ahlroos-Lehmus, Taru K. Pilvi, Riitta Korpela, Olli Tossavainen, Eero M. Mervaala

Publikováno v: Journal of Functional Foods, Vol 4, Iss 2, Pp 440-449 (2012)

Microfiltered native whey protein (MFNW) exerts superior in vitro functional properties compared to traditional cheese whey protein. We here investigated the metabolic effects of a novel MFNW, produced by economic polymeric membranes and rich in α-l

Externí odkaz: https://doaj.org/article/395a13694214447ba2fd71862bf6be48

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Akademický článek

Metabolic effects of lactoferrin during energy restriction and weight regain in diet-induced obese mice

Autor: Jin Shi, Piet Finckenberg, Essi Martonen, Anu Ahlroos-Lehmus, Taru K. Pilvi, Riitta Korpela, Eero M. Mervaala

Publikováno v: Journal of Functional Foods, Vol 4, Iss 1, Pp 66-78 (2012)

Lactoferrin (LF) is an iron-binding glycoprotein exerting several physiological functions such as antimicrobial activity, modulatory effects on lipid metabolism and anti-inflammatory properties. We examined whether LF prevents diet-induced obesity an

Externí odkaz: https://doaj.org/article/ef55d65dcaf940de875b160a1856b4a4

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Akademický článek

Comparison of the metabolic effects of milk-derived α-lactalbumin and amino acids mixture with equal composition in diet-induced obese mice

Autor: Jin Shi, Anu Ahlroos-Lehmus, Taru K. Pilvi, Riina Kekkonen, Riitta Korpela, Eero M. Mervaala

Publikováno v: Journal of Functional Foods, Vol 3, Iss 2, Pp 70-78 (2011)

The effects of milk-derived whey protein α-lactalbumin (α-lac) and amino acid mixture with equal amino acid profile (AA) on weight loss and weight regain in a model of diet-induced obesity were compared. Obesity was induced in C57BL/6J mice with a

Externí odkaz: https://doaj.org/article/3d0d4e30af334f10a0bc587b5b0b51a5

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Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model

Autor: Turkka T. Anttila, Teemu V. Karjalainen, Teemu O. Mäkelä, Eero M. Waris, Nina C. Lindfors, Miika M. Leminen, Jorma O. Ryhänen

Publikováno v: Journal of Digital Imaging. 36:679-687

Deep learning algorithms can be used to classify medical images. In distal radius fracture treatment, fracture detection and radiographic assessment of fracture displacement are critical steps. The aim of this study was to use pixel-level annotations

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be51e9bd4820a191d919839bbefabd90
https://doi.org/10.1007/s10278-022-00741-5

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Akademický článek

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