Zobrazeno 1 - 10
of 896
pro vyhledávání: '"Rezaei Fatemeh"'
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Nosocomial infection (NI) or cross-infection is a major health problem in hospitals worldwide. Aim This study aimed to report the status of NIs and to evaluate the Iranian nosocomial infection surveillance system (INISS) in a teac
Externí odkaz:
https://doaj.org/article/f40c942fc2c3473ca8c4adb77468b858
Autor:
Atrianfar Fatemeh, Rezaei Fatemeh, Heidari Kazem, Kargar Mona, Javadi Mohammad Reza, Gholami Kheirollah
Publikováno v:
Brazilian Journal of Pharmaceutical Sciences, Vol 57 (2021)
The high prevalence of concomitant chronic illnesses and the resulting higher number of medications in the elderly population increase the risk of adverse drug reactions due to drug-drug interactions (DDIs) and potentially inappropriate medications (
Externí odkaz:
https://doaj.org/article/cd464cec7dac4a63a4b5bfb6f1520f75
Internet-of-Things (IoT) is rapidly growing in wireless technology, aiming to connect vast numbers of devices to gather and distribute vital information. Despite individual devices having low energy consumption, the cumulative demand results in signi
Externí odkaz:
http://arxiv.org/abs/2312.03882
This study introduces and investigates the integration of a cell-free architecture with bistatic backscatter communication (BiBC), referred to as cell-free BiBC or distributed access point (AP)-assisted BiBC, which can enable potential applications i
Externí odkaz:
http://arxiv.org/abs/2310.01264
Inexpensive tags powered by energy harvesting (EH) can realize green (energy-efficient) Internet of Things (IoT) networks. However, tags are vulnerable to energy insecurities, resulting in poor communication ranges, activation distances, and data rat
Externí odkaz:
http://arxiv.org/abs/2309.09859
This letter presents a pioneering method that employs deep learning within a probabilistic framework for the joint estimation of both direct and cascaded channels in an ambient backscatter (AmBC) network comprising multiple tags. In essence, we lever
Externí odkaz:
http://arxiv.org/abs/2309.05776
Current backscatter channel estimators employ an inefficient silent pilot transmission protocol, where tags alternate between silent and active states. To enhance performance, we propose a novel approach where tags remain active simultaneously throug
Externí odkaz:
http://arxiv.org/abs/2305.17248
Autor:
Javadipour, Soroush, Shokuhfar, Ali, Heidary, Zeinab, Roshkhar, Mohammad Amin Amiri, Homayouni, Keyvan, Rezaei, Fatemeh, Zolriasatein, Ashkan, Shahhosseini, Shahrokh, Rashidi, Alimorad, Khamoushi, S. M. Mahdi
The thermal conductivity and stability of nanofluids have posed the biggest challenges to their adoption as coolants in thermal applications in industries such as electronic equipment, heat exchangers, and solar technologies. In this paper, the therm
Externí odkaz:
http://arxiv.org/abs/2306.13766
Laser induced breakdown spectroscopy technique is employed for quantitative analysis of aluminum samples by different classical machine learning approaches. A Q-switch Nd:YAG laser at fundamental harmonic of 1064 nm is utilized for creation of LIBS p
Externí odkaz:
http://arxiv.org/abs/2304.07786
Autor:
Rezaei, Fatemeh
In current research, laser Doppler vibrometer (LDV) as a new diagnostic tool is utilized for non-destructive testing of the automotive equipment. LDV technique is working based on measurement of the Doppler shift of a moving object in an interference
Externí odkaz:
http://arxiv.org/abs/2304.11054