Zobrazeno 1 - 10
of 59
pro vyhledávání: '"R. Di Natale"'
Autor:
Recep Avci, Omkar N. Athavale, Mehrdad Sangi, Madeleine R. Di Natale, John B. Furness, Zhongming Liu, Peng Du, Leo K. Cheng
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10393 (2024)
In-silico studies are an ideal medium to model and improve our understanding of the mechanisms underlying gastric motility in health and disease. In this study, a workflow to create computational models of the stomach was developed using SPARC scaffo
Externí odkaz:
https://doaj.org/article/244dfd68238046e3a1102e8a86b90077
Autor:
Xiaokai Wang, Jiayue Cao, Kuan Han, Minkyu Choi, Yushi She, Ulrich Scheven, Recep Avci, Peng Du, Leo K. Cheng, Madeleine R Di Natale, John B Furness, Zhongming Liu
Publikováno v:
IEEE Transactions on Biomedical Engineering. :1-12
Autor:
Madeleine R. Di Natale, Billie Hunne, Jamie J. M. Liew, Linda J. Fothergill, Martin J. Stebbing, John B. Furness
Publikováno v:
Cell and Tissue Research. 388:19-32
We investigated the distributions and targets of nitrergic neurons in the rat stomach, using neuronal nitric oxide synthase (NOS) immunohistochemistry and nicotinamide adenine dinucleotide phosphate (NADPH) diaphorase histochemistry. Nitrergic neuron
Autor:
Madeleine R. Di Natale, Omkar N. Athavale, Xiaokai Wang, Peng Du, Leo K. Cheng, Zhongming Liu, John B. Furness
Publikováno v:
Neurogastroenterology & Motility.
Autor:
Xiaokai Wang, Jiayue Cao, Kuan Han, Minkyu Choi, Yushi She, Ulrich Scheven, Recep Avci, Peng Du, Leo K. Cheng, Madeleine R Di Natale, John B Furness, Zhongming Liu
Gastrointestinal magnetic resonance imaging (MRI) provides rich spatiotemporal data about the volume and movement of the food inside the stomach, but does not directly report on the muscular activity of the stomach itself. Here we describe a novel ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732acb7eb0da8581c61e30052d334be7
https://doi.org/10.1101/2022.10.17.512633
https://doi.org/10.1101/2022.10.17.512633
Autor:
Recep Avci, Joseph D. Wickens, Mehrdad Sangi, Omkar N. Athavale, Madeleine R. Di Natale, John B. Furness, Peng Du, Leo K. Cheng
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
An anatomically based 3D computational model of the rat stomach was developed using experimental muscle thickness measurements and muscle fiber orientations for the longitudinal muscle (LM) and circular muscle (CM) layers. First, 15 data points corre
Autor:
Rachel M. McQuade, Methma Bandara, Shanti Diwakarla, Lauren Sahakian, Myat Noe Han, Maryam Al Thaalibi, Madeleine R. Di Natale, Marsha Tan, Kiera H. Harwood, Elena K. Schneider-Futschik, Andrew Jarnicki
Publikováno v:
Inflammation research : official journal of the European Histamine Research Society ... [et al.].
Background Respiratory inflammation is the body’s response to lung infection, trauma or hypersensitivity and is often accompanied by comorbidities, including gastrointestinal (GI) symptoms. Why respiratory inflammation is accompanied by GI dysfunct
The thickness, organization and relationships between the muscle layers of the rat stomach assist in understanding their function. Here we describe protocols for identifying, measuring and quantifying the muscle layers of the rat stomach using histol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98e90dc0a1c939f153634ddd5433b005
https://doi.org/10.17504/protocols.io.bybtpsnn
https://doi.org/10.17504/protocols.io.bybtpsnn
Autor:
Ilvana Ziko, Alita Soch, Madeleine R Di Natale, Luba Sominsky, Simone N. De Luca, Sarah J. Spencer
Publikováno v:
Journal of Endocrinology. 241:201-219
Chronic stress is a known suppressor of female reproductive function. However, attempts to isolate single causal links between stress and reproductive dysfunction have not yet been successful due to their multi-faceted aetiologies. The gut-derived ho
One of the major goals of Spoken Dialog Systems (SDS) is to understand what the user utters. In the SDS domain, the Spoken Language Understanding (SLU) Module classifies user utterances by means of a pre-definite conceptual knowledge. The SLU module
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591983229c942d71438f0bc9d754a566