Publications by authors named "F Rafiei"
Following a period of disuse owing to the emergence of multidrug-resistant Gram-negative bacteria, colistin has regained global attention as an antibiotic of last resort. The resurgence in its utilization has led to a concurrent increase in acquired resistance, presenting a significant challenge in clinical treatment. Predominantly, resistance mechanisms involve alterations in the lipid A component of the lipopolysaccharide (LPS) structure.
View Article and Find Full Text PDFBackground: Colorectal cancer (CRC) has become a significant global concern, presenting formidable challenges to healthcare systems and leading to substantial healthcare expenses. This study examines the projected prevalence and trends of CRC worldwide, encompassing 21 regions and 195 nations.
Methods: We employed an illness-death model (IDM) in order to forecast the anticipated prevalence of CRC by the year 2040.
Article Synopsis
- The study aims to evaluate the awareness of nursing managers and the disaster preparedness of hospitals in Sanandaj, Kurdistan Province.
- Conducted in 2023 with 167 participants, the research used various data collection tools and statistical analyses, revealing high levels of awareness (77.89%) and strong preparedness (69.23%) among hospitals.
- While the overall readiness is good, certain areas like human resources (56.66%) need improvement, suggesting the need for focused training and education to enhance preparedness further.
Article Synopsis
- - In 2020, wheat saw significant advancements with the launch of HB4, a drought-resistant variety approved for commercial cultivation in Argentina, marking a breakthrough after years of slow genetic modification adoption due to consumer resistance and trade barriers.
- - The paper highlights a need for a new regulatory framework to promote genetic technologies in wheat, as current discussions around modern breeding could help overcome historical reluctance from consumers and boost private R&D investments.
- - It emphasizes the importance of understanding the risks and benefits of biotechnological approaches, like transgenic and genome editing, to develop climate-resilient wheat varieties essential for an increasing global population.
Convolutional neural networks show promise as models of biological vision. However, their decision behaviour, including the facts that they are deterministic and use equal numbers of computations for easy and difficult stimuli, differs markedly from human decision-making, thus limiting their applicability as models of human perceptual behaviour. Here we develop a new neural network, RTNet, that generates stochastic decisions and human-like response time (RT) distributions.
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