Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Ali Zarghami"'
Autor:
Ali Zarghami, Donald W. Benbow
The eight discipline (8D) problem-solving methodology includes the following: Select an appropriate team Formulate the problem definition Activate interim containment Find root cause(s) Select and verify correction(s) Implement and validate correctiv
Publikováno v:
Central European Journal of Sport Sciences and Medicine, Vol 44 (2023)
The study aimed to examine the combined effects of caffeine and aerobic exercise on leptin levels and some indices of insulin resistance in diabetics Thirty-two males with type 2 diabetes participated in a quasi-experimental and double-blind design.
Externí odkaz:
https://doaj.org/article/03f8df3219344df49f9edabf0a8aedff
Publikováno v:
Complementary Medicine Journal of Faculty of Nursing and Midwifery, Vol 10, Iss 3, Pp 206-217 (2020)
Objective: Some previous studies have shown the protective effect of caffeine on apoptosis through the regulation of pro- and anti-apoptotic proteins. The aim of this study was to investigate the effects of chronic caffeine administration on the expr
Externí odkaz:
https://doaj.org/article/807e07a9d7104fe699b6931367d7579f
Publikováno v:
Central European Journal of Sport Sciences & Medicine; 2023, Vol. 44 Issue 4, p15-26, 12p
Publikováno v:
Iranian South Medical Journal, Vol 17, Iss 5, Pp 847-859 (2014)
Background: Based upon the anecdotal results about caffeine dose effects on exercise-induced inflammatory response, the present study was conducted to identify the effect of different doses of caffeine on acute inflammatory response following one-ses
Externí odkaz:
https://doaj.org/article/3930b4959b0d4f9b9f26b78b8e715bb4
Publikováno v:
Medical Journal of Tabriz University of Medical Sciences and Health Services. 41:7-15
Background: In traditional medicine, Dill has been used for the treatment of gastrointestinal disorder and also for its hypoglycemic and lipid lowering effects. So, the aim of this study was to determining effect of long-term dill extract supplementa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d4d3a184c0a58318fb408f7a99db5f4
https://doi.org/10.34172/mj.2019.027
https://doi.org/10.34172/mj.2019.027
Autor:
Ali Zarghami, Mahdieh Soleymani Baghshah, Seyed Mahdi Roostaiyan, Behnam Babagholami-Mohamadabadi
Publikováno v:
Computer Vision-ECCV 2014 Workshops ISBN: 9783319161983
ECCV Workshops (3)
ECCV Workshops (3)
In many real-world applications (e.g. social media application), data usually consists of diverse input modalities that originates from various heterogeneous sources. Learning a similarity measure for such data is of great importance for vast number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3913cb9f72cefbe2e00a560e14357e79
https://doi.org/10.1007/978-3-319-16199-0_5
https://doi.org/10.1007/978-3-319-16199-0_5
A Bayesian framework for 3D human pose estimation from monocular images based on sparse representation (SR) is introduced. Our probabilistic approach aims at simultaneously learning two overcomplete dictionaries (one for the visual input space and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a619a2c47735ed05a1582ad938242767
http://arxiv.org/abs/1412.0062
http://arxiv.org/abs/1412.0062
Autor:
Hojjat Abdollahi Pourhaghighi, Mohammad T. Manzuri-Shalmani, Behnam Babagholami-Mohamadabadi, Ali Zarghami
Publikováno v:
MultiClust@KDD
Distance metric learning is a powerful approach to deal with the clustering problem with side information. For semi-supervised clustering, usually a set of pairwise similarity and dissimilarity constraints is provided as supervisory information. Alth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935532c04ca2d95181b91d936d241668
https://doi.org/10.1145/2501006.2501011
https://doi.org/10.1145/2501006.2501011
Autor:
Mohammadreza Zolfaghari, Behnam Babagholami-Mohamadabadi, Mahdieh Soleymani Baghshah, Ali Zarghami
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
ECML/PKDD (3)
ECML/PKDD (3)
While recent supervised dictionary learning methods have attained promising results on the classification tasks, their performance depends on the availability of the large labeled datasets. However, in many real world applications, accessing to suffi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c958c3e2bc0c97ce300190667c3b7f30
https://doi.org/10.1007/978-3-642-40994-3_13
https://doi.org/10.1007/978-3-642-40994-3_13