Zobrazeno 1 - 10
of 2 814
pro vyhledávání: '"Pintea A"'
Publikováno v:
Acta Marisiensis - Seria Medica, Vol 69, Iss 3, Pp 147-152 (2023)
The diet is an important factor that can influence the structures and function of the population of germs that compose the intestinal microbiota. This review presents current data on the response of the intestinal microbiota depending on the diet. Wh
Externí odkaz:
https://doaj.org/article/851439e0b0734115b11948524c1fdc22
Publikováno v:
Studies in Business and Economics, Vol 18, Iss 2, Pp 290-302 (2023)
Media plays a critical role in shaping public opinion and policy on global issues related to sustainable development. As such, journalism higher education has an important responsibility to prepare journalism students to report on sustainable develop
Externí odkaz:
https://doaj.org/article/2d96e87366204cf1a7fb91405c1a39f8
Autor:
CIORTEA Viorela Mihaela, ILIESCU Mădălina Iliescu, BLENDEA Eliza, MOTOASCA Irina, BORDA Ileana Monica, CIUBEAN Alina Deniza, UNGUR Rodica Ana, PINTEA Alina Liliana, POPA Florina Ligia, IRSAY Laszlo
Publikováno v:
Balneo and PRM Research Journal, Vol 12, Iss 4, Pp 323-326 (2021)
Introduction. An unprecedented public health crisis has been triggered worldwide by SARS-CoV-2’s high contagiosity and it’s mortality rates of 1-5%. Although the majority of COVID-19 cases have a good outcome, there is a small percentage that dev
Externí odkaz:
https://doaj.org/article/151d3171124f41fd837b8014b758a83e
Improving connectivity and completeness are the most challenging aspects of small liver vessel segmentation. It is difficult for existing methods to obtain segmented liver vessel trees simultaneously with continuous geometry and detail in small vesse
Externí odkaz:
http://arxiv.org/abs/2411.00617
Autor:
Pipernea Roxana, Popa Florina-Ligia, Ciortea Viorela-Mihaela, Irsay Laszlo, Rodica Ana Ungur, Pintea Alina Liliana, Iliescu Mădălina-Gabriela, Cipăian Remus-Călin, Stanciu Mihaela
Publikováno v:
Balneo and PRM Research Journal, Vol 14, Iss 1, p 539 (2023)
It is well known that vitamin D deficiency increases the risk of osteoporosis and that vertebral compressions fractures are a manifestation of osteoporosis. This paper presents the case of a patient with severe osteoporosis associated with vitamin D
Externí odkaz:
https://doaj.org/article/f3d01c73176544d1b2941ac0b9dae554
Autor:
Bunea Andrea, Rugină Dumitrița, Copaciu Florina, Dulf Francisc, Veres Anastasia, Sonia Socaci, Pintea Adela
Publikováno v:
BMC Chemistry, Vol 14, Iss 1, Pp 1-11 (2020)
Abstract Although a vast number of Aloe species are known, only the Aloe vera and Aloe arborescens species are currently used by cosmetic and pharmaceutical industries. Therefore, the current study aims to complete the existent literature data with n
Externí odkaz:
https://doaj.org/article/ddcfb6a79ce2417fb769fd41c90d06e3
Publikováno v:
Drug Design, Development and Therapy, Vol Volume 12, Pp 1985-1996 (2018)
Mihaela Popescu,1 Cătălina Bogdan,2 Adela Pintea,3 Dumitriţa Rugină,3 Corina Ionescu1 1Department of Biochemistry, University of Medicine and Pharmacy “Iuliu Haţieganu”, Cluj-Napoca, Romania; 2Department of Dermopharmacy and Cosmetics, Unive
Externí odkaz:
https://doaj.org/article/3d6ed7e7f41f4c55b28bcad8ab68e2b6
Publikováno v:
In International Conference on Machine Learning 2021 Jul 1 (pp. 10324-10335). PMLR
CNNs and computational models of biological vision share some fundamental principles, which opened new avenues of research. However, fruitful cross-field research is hampered by conventional CNN architectures being based on spatially and depthwise di
Externí odkaz:
http://arxiv.org/abs/2402.01557
A number of computer vision deep regression approaches report improved results when adding a classification loss to the regression loss. Here, we explore why this is useful in practice and when it is beneficial. To do so, we start from precisely cont
Externí odkaz:
http://arxiv.org/abs/2308.10603
Activity progress prediction aims to estimate what percentage of an activity has been completed. Currently this is done with machine learning approaches, trained and evaluated on complicated and realistic video datasets. The videos in these datasets
Externí odkaz:
http://arxiv.org/abs/2308.05533