Zobrazeno 1 - 10
of 6 966
pro vyhledávání: '"A. Zali"'
Publikováno v:
Neurología (English Edition), Vol 39, Iss 3, Pp 254-260 (2024)
Purpose: Covid-19 has affected all people, especially those with chronic diseases, including Parkinson's Disease (PD). Covid-19 may affect both motor and neuropsychiatric symptoms of PD patients. We intend to evaluate different aspects of Covid-19 im
Externí odkaz:
https://doaj.org/article/f34476c6a3624b1e8311c9378a67210e
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 9, Pp 6171-6184 (2023)
ABSTRACT: The objective of this study was to evaluate the effects of varying the ratio of dietary palmitic (C16:0; PA) and stearic (C18:0; SA) acids on nutrient digestibility, production, and blood metabolites of early-lactation Holsteins under mild-
Externí odkaz:
https://doaj.org/article/1c5a05822c7c47d7bd3f92d356f50f4a
Publikováno v:
Journal of the Saudi Society of Agricultural Sciences, Vol 19, Iss 1, Pp 76-80 (2020)
The effects of feeding calcium salts of poultry oil as fat supplement on feed intake, nutrient digestion, feeding behavior and milk production of dairy cows were investigated. Twenty four Holstein cows (BW = 589 ± 41 kg; DIM = 105 ± 26.7 d [range o
Externí odkaz:
https://doaj.org/article/338e1581051d47628821e608f5f50f84
Publikováno v:
Animal, Vol 13, Iss 11, Pp 2527-2535 (2019)
Heat stress is a major problem for dairy cows in hot climates, thus coping strategies are essential. This study evaluated the effects of increasing diet fermentability on intake, total tract digestibility, ruminal pH and volatile fatty acids (VFA) pr
Externí odkaz:
https://doaj.org/article/09a371ef78924f0a8649a53cb0acb08a
Due to the weakness of public key cryptosystems encounter of quantum computers, the need to provide a solution was emerged. The McEliece cryptosystem and its security equivalent, the Niederreiter cryptosystem, which are based on Goppa codes, are one
Externí odkaz:
http://arxiv.org/abs/2310.06724
Autor:
Forootan, Mojgan, Rajabnia, Mohsen, Mafi, Ahmad R, Tehrani, Hamed Azhdari, Ghadirzadeh, Erfan, Setayeshfar, Mahziar, Ghaffari, Zahra, Tashakoripour, Mohammad, Zali, Mohammad Reza, Bolhasani, Hamidreza
In the recent years, artificial intelligence (AI) and its leading subtypes, machine learning (ML) and deep learning (DL) and their applications are spreading very fast in various aspects such as medicine. Today the most important challenge of develop
Externí odkaz:
http://arxiv.org/abs/2307.15444
Autor:
Mohammadhosein Akhlaghpasand, Roozbeh Tavanaei, Maede Hosseinpoor, Kaveh Oraii Yazdani, Afsane Soleimani, Mojtaba Yousefi Zoshk, Masoud Soleimani, Mohsen Chamanara, Mahdi Ghorbani, Mohammad Deylami, Alireza Zali, Reza Heidari, Saeed Oraee-Yazdani
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objective Neurological and functional impairments are commonly observed in individuals with spinal cord injury (SCI) due to insufficient regeneration of damaged axons. Exosomes play a crucial role in the paracrine effects of mesenchymal stem
Externí odkaz:
https://doaj.org/article/0ad353b8ecd548f7bdb3d8fcac7557a1
Publikováno v:
Payesh, Vol 23, Iss 4, Pp 615-624 (2024)
Objective (s): In a situation where the vaccine was not completely accurate and up-to-date against different strains of the virus in all people of the world, compliance with health guidelines was the main key to prevent transmission. But what is clea
Externí odkaz:
https://doaj.org/article/c01897cd073e4e56a3c13345599c23d4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract This paper presents a new methodology for addressing imbalanced class data for failure prediction in Water Distribution Networks (WDNs). The proposed methodology relies on existing approaches including under-sampling, over-sampling, and clas
Externí odkaz:
https://doaj.org/article/3a7a64bb976d4347ac86ef53bc2b0fec
Autor:
Farideh Mohtasham, MohamadAmin Pourhoseingholi, Seyed Saeed Hashemi Nazari, Kaveh Kavousi, Mohammad Reza Zali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract In the context of early disease detection, machine learning (ML) has emerged as a vital tool. Feature selection (FS) algorithms play a crucial role in ensuring the accuracy of predictive models by identifying the most influential variables.
Externí odkaz:
https://doaj.org/article/95816bbc96144c08bccbeff10a68d6ad