Zobrazeno 1 - 10
of 2 415
pro vyhledávání: '"Sharafi, P."'
Purpose: This study presents a variable resolution (VR) sampling and deep learning reconstruction approach for multi-spectral MRI near metal implants, aiming to reduce scan times while maintaining image quality. Background: The rising use of metal im
Externí odkaz:
http://arxiv.org/abs/2410.23329
Neural networks have become a widely adopted tool for tackling a variety of problems in machine learning and artificial intelligence. In this contribution we use the mathematical framework of local stability analysis to gain a deeper understanding of
Externí odkaz:
http://arxiv.org/abs/2405.00743
Let $a$ and $b$ be two non-zero elements of a finite field $\mathbb{F}_q$, where $q>2$. It has been shown that if $a$ and $b$ have the same multiplicative order in $\mathbb{F}_q$, then the families of $a$-constacyclic and $b$-constacyclic codes over
Externí odkaz:
http://arxiv.org/abs/2403.04600
Publikováno v:
Caspian Journal of Health Research, Vol 9, Iss 4, Pp 199-204 (2024)
Background: Radon is a colorless and odorless radioactive gas that is considered a leading cause of lung cancer. Given this need, the main objective of this policy brief was to discuss the need to pay attention to the prevention and control of indoor
Externí odkaz:
https://doaj.org/article/d3e6d23cb60549c8bd5e323642f7b75f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Medicinal plants (MPs) have long been used for their therapeutic properties in traditional forms of medicine. However, the presence of potentially toxic elements (PTEs) in MPs raises concerns about their safety, efficacy, and potential adver
Externí odkaz:
https://doaj.org/article/6980d31603b34016bf6399892e962713
Autor:
Maryam Talebi Moghaddam, Yones Jahani, Zahra Arefzadeh, Azizallah Dehghan, Mohsen Khaleghi, Mehdi Sharafi, Ghasem Nikfar
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Background Imbalanced datasets pose significant challenges in predictive modeling, leading to biased outcomes and reduced model reliability. This study addresses data imbalance in diabetes prediction using machine learning techniques. Utiliz
Externí odkaz:
https://doaj.org/article/4d2708e566e640e2a434ab6d39ae10b1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Metal oxide nanoparticles(NPs) contain unique properties which have made them attractive agents in cancer treatment. The CuO nanoparticles were green synthesized using walnut shell powder in different calcination temperatures (400°, 500°,
Externí odkaz:
https://doaj.org/article/74fcd4c1aacb43f8833374be7f18d271
Autor:
Mehdi Sharafi, Mohammad Ali Mohsenpour, Sima Afrashteh, Mohammad Hassan Eftekhari, Azizallah Dehghan, Akram Farhadi, Aboubakr Jafarnezhad, Abdoljabbar Zakeri, Mehdi Azizmohammad Looha
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The worldwide prevalence of type 2 diabetes mellitus in adults is experiencing a rapid increase. This study aimed to identify the factors affecting the survival of prediabetic patients using a comparison of the Cox proportional ha
Externí odkaz:
https://doaj.org/article/75ea445e41ad40b8bdfb662d45bc1a45
Autor:
Maryam Rastegar, Eisa Nazar, Mahshid Nasehi, Saeed Sharafi, Vahid Fakoor, Mohammad Taghi Shakeri
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 3, Pp 963-974 (2024)
Introduction: Tuberculosis (TB) is one of the most prevalent infectious diseases in the world, causing major public health problems in developing countries. The rate of TB incidence in Iran was estimated to be 13 per 100,000 in 2021. This study aimed
Externí odkaz:
https://doaj.org/article/a1d3b842ab0f49969397841b071ca26a
Purpose: In multi-spectral imaging (MSI), several fast spin echo volumes with discrete Larmor frequency offsets are acquired in an interleaved fashion with multiple concatenations. Here, a variable resolution (VR) method to nearly halve scan time is
Externí odkaz:
http://arxiv.org/abs/2306.01933