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Ali Karimi on Muck Rack

Ali Karimi

As seen in: AWWA Opflow, Nature, Wiley Online Library, PLOS ONE, MDPI, Taylor & Francis Online, ZDF, Foreign Policy Magazine, Royal Society of Chemistry, Cell Reports and
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Articles

Analysis of pool fire scenarios in a process industry using a fuzzy Bayesian network approach

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By Leila Omidi, Ali Karimi, Maryam Ghaljahi
| Taylor & Francis Online
Abstract Pool fires in tanks are one of the most common types of fire accidents in chemical process industries. Therefore, identifying the intermediate and basic events of these fires is crucial for risk planning and management. In this study, the identification of intermediate and basic events of a pool fire scenario in storage tanks was initially carried out using the FTA method. Subsequently, a fault tree for pool fires was designed and illustrated.
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Enhancing Hospital Fire Safety: Integrating FRAME Analysis and Performance-Based Assessment for Quantitative Fire Risk Mitigation

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By Samaneh Salari, Ali Karimi, Mehdi Ghasri
| Preprints.org
You are already at the latest version The hybrid methodology first employed the Fire Risk Assessment Method for Engineers Method (FRAME) for initial screening across thirty-one departments. The facilities department (Occupants Risk: 3.199) was subsequently identified as the critical department.
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Genetic profiling enhances cystic fibrosis prenatal diagnosis

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By Ali Karimi, Saba Aslani, Amin Hosseini Nami, Mahboubeh Kabiri, Fatemeh Zafarghandi Motlagh, Razie Zeinali, Sirous Zeinali
| Nature Verified
Abstract Prenatal testing is a standard approach for detecting genetic diseases in expectant mothers, with more testing options becoming available. Homozygosity mapping is invaluable for identifying genes causing disease and improving molecular diagnostics. Here, we present the prenatal diagnosis outcomes of three families affected by cystic fibrosis (CF). A combination of phenotypic analysis, haplotype analysis, and CFTR gene sequencing was used to identify the causative mutations.
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