Zobrazeno 1 - 10
of 5 945
pro vyhledávání: '"A. Razzaghi"'
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 9, Pp 6080-6093 (2023)
ABSTRACT: Increased diet fermentability may decrease ruminal pH and fiber digestibility, and increase the flow of trans fatty acids (FA) to the lower tract ultimately leading to milk fat depression. We recently showed that feeding super-conditioned c
Externí odkaz:
https://doaj.org/article/63108b2a100b401a9f1af78b5a735bd0
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 3, Pp 1734-1745 (2023)
ABSTRACT: We aimed to evaluate the interaction between dietary starch concentration, varied by replacing wheat bran with dry ground corn, and replacement of corn silage (CS) with shredded beet pulp (BP) on production, milk fat output, milk fatty acid
Externí odkaz:
https://doaj.org/article/94b58424765c4a63b245417a7d53e07c
Autor:
M. Malekkhahi, A. Razzaghi, M. Ahmadi Zadeh, B. Satlekh Mohammadi, P. Khosravi, M.R. Farrokhi, J.K. Drackley, D. Vyas
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 4, Pp 3142-3152 (2022)
ABSTRACT: Corn processing methods including finely ground (FGC), dry rolled (DRC), and crumbled corn (CRC) were evaluated to determine their effects on average daily gain (ADG), structural growth, starch digestibility, feeding behavior, and blood met
Externí odkaz:
https://doaj.org/article/99eaa752afda4d709e8ca29d25361091
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 4, Pp 3032-3048 (2022)
ABSTRACT: The objective of this study was to determine the effects of milk fat depression induced by supplementing conjugated linoleic acid (CLA; trans-10,cis-12 and cis-9,trans-11 CLA) or feeding a higher starch and oil-containing diet (HSO) on meta
Externí odkaz:
https://doaj.org/article/0de0b75a65f2468eab4c9dbd3ad3df31
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 3, Pp 2275-2287 (2022)
ABSTRACT: We aimed to evaluate the effects of dietary supplementation with magnesium oxide and calcium-magnesium dolomite on milk fat synthesis and milk fatty acid profile or persistency in milk fat synthesis after their cessation in dairy cows under
Externí odkaz:
https://doaj.org/article/f14c19fd03b741f5a34d9758c35ce753
Autor:
A.R. Bayat, J. Vilkki, A. Razzaghi, H. Leskinen, H. Kettunen, R. Khurana, T. Brand, S. Ahvenjärvi
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 2, Pp 1211-1224 (2022)
ABSTRACT: We evaluated the potential of feeding high-oil rapeseed cake or natural additives as rumen modifiers on enteric methane (CH4) emissions, nutrient utilization, performance, and milk fatty acid (FA) profile of dairy cows. Eight Nordic Red dai
Externí odkaz:
https://doaj.org/article/6e06453499f04555b69c057fcf3070e2
The growing popularity of Electric Vehicles (EVs) poses unique challenges for grid operators and infrastructure, which requires effectively managing these vehicles' integration into the grid. Identification of EVs charging is essential to electricity
Externí odkaz:
http://arxiv.org/abs/2408.11828
Autor:
Razzaghi, Davood, MotazediFard, Ali, Akbari, Marzieh, Madani, Seyed Ahmad, Yousefi, Masoud, Allahi, Ali, Mehrabanpajooh, Ghazal, Shokrolahi, Mohsen, Asgari, Hamid, Riazi, Zafar
In this paper, we experimentally report the saturated absorption spectroscopy (SAS) and frequency locking (FL) of a narrow-band DBR laser with 0.5MHz linewidth on the LD2-transition of Rb atoms.
Comment: submitted to International Conference on
Comment: submitted to International Conference on
Externí odkaz:
http://arxiv.org/abs/2405.14911
The protein-ligand binding affinity (PLA) prediction goal is to predict whether or not the ligand could bind to a protein sequence. Recently, in PLA prediction, deep learning has received much attention. Two steps are involved in deep learning-based
Externí odkaz:
http://arxiv.org/abs/2405.07452
In the growing world of artificial intelligence, federated learning is a distributed learning framework enhanced to preserve the privacy of individuals' data. Federated learning lays the groundwork for collaborative research in areas where the data i
Externí odkaz:
http://arxiv.org/abs/2311.10832