Prioritization of control measures in leakage scenario using Hendershot theory and FBWM-TOPSIS.

Currently, there is increasing concern about the safety and leakage of process industries. Therefore, the present study aims to prioritize control measures before and after the leakage scenario by using the Hendershot theory and MCDM techniques. In this study, two proactive and reactive layers were selected before and after leakage of tanks, respectively.

The Influence of Noise Exposure at Different Loudness Levels on EEG Index and Types of Attention.

Bachground: Noise is one of the most important harmful factors in the environment. There are limited studies on the effect of noise loudness on brain signals and attention. The main objective of this study was to investigate the relationship between exposure to different loudness levels with brain index, types of attention, and subjective evaluation.

Persistent effects of mobile phone conversation while driving after disconnect: Physiological evidence and driving performance.

Cognitive workload has been known as a key factor in traffic accidents, which can be highly increased by talking on the phone while driving. A wide range of studies around the world investigated the effects of mobile phone conversations on driving performance and traffic accidents. But less noticed is the durability of cognitive effects of mobile phone conversations.

A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022.

Analytical models and the prediction of accidents and their consequences are important tools for preventing accidents in the industry. Therefore, the present study was conducted to review process accident consequence modeling in Iran (2006-2022), helping improve incident modeling, and creating a context for preventing these accidents. In this study, the articles of 5 international Embase Medline/PubMed databases, ProQuest, Scopus, Google Scholar, and Web of Science, and four Iranian databases SID, MagIran, IranMedex, and IranDoc were examined using the PRISMA checklist.

A new approach to chemicals warehouse risk analysis using computational fluid dynamics simulation and fuzzy Bayesian network.

This study aims to assess the risk of chemicals warehouse using a Bayesian networks (BNs) and computational fluid dynamics (CFD). A methodology combining Bow-Tie (BT), fuzzy set theory (FST), and Bayesian network was employed, in which the BT was drawn for chemical spill scenarios. FST was utilized for the estimation of the basic events (BEs) occurrence probability, and the probability of interaction among a set of variables was obtained using BNs.

Cybergonomics: Proposing and justification of a new name for the ergonomics of Industry 4.0 technologies.

Various subdisciplines of ergonomics science have emerged during the past decades as our insight has been broadened of human and performance. The three main branches of ergonomics have evolved over time focusing on the physical, cognitive, and organizational aspects. But the question is, can these disciplines focus and research enough on the ergonomic aspects of cyberspace and Industry 4.

Investigating the Ventilation System of an Intensive Care Unit in the COVID-19 Crisis: A Study in a Hospital of Tehran, Iran.

Background: Ventilation system besides other prevention strategies such as surface disinfecting and personal protective equipment (PPE) decrease the risk of coronavirus disease 2019 (COVID-19) infection. This study aimed to examine the ventilation system of an intensive care unit (ICU) in a hospital in Tehran, Iran to evaluate the potency of heating, ventilation, and air conditioning system (HVAC) for COVID-19 spread.

Materials And Methods: Contamination of air turnover caves was evaluated in supplier diffuser and extractor grills of negative pressure HVAC by ten samples.

Fuzzy Bayesian estimation and consequence modeling of the domino effects of methanol storage tanks.

In this study, a fuzzy Bayesian network (FBN) approach was proposed to analyze the domino effects of pool fire. Failure probabilities were calculated using triangular fuzzy numbers, the combined center of area (CoA)/sum-product method and the BN approach. Consequence modeling, probit equations and leaky-noisy-OR (L-NOR) gates were used to analyze the domino effects, and modify conditional probability tables (CPTs).

Developing a safety audit checklist for in-operation administrative buildings.

Background: The structure of buildings is in degradation over time, monitoring their safety status and providing timely warnings is crucial. Therefore, an efficient visual inspection of the building's safety has intrinsic value to give early warnings to owners and managers.

Objective: This study aimed to provide an audit tool for evaluation of the administrative in-operation buildings' safety status.

Tracing the physiological response and behavioral performance of drivers at different levels of mental workload using driving simulators.

Introduction: The use of mobile phones while driving is known to be a distraction factor and a cause of accidents. The way in which different kinds of conversations affect the behavioral performance of the driver as well as the persistence of the effects are not yet fully understood.

Method: In this study, in addition to comparing brain function and behavioral function in dual task conditions in three conversations types, the persistent effects of these types of conversations have also been traced.

Investigating the Impact of Establishing Integrated Management Systems on Accidents and Safety Performance Indices: A Case Study.

Background: Increasing the establishment of integrated management systems (IMSs) is done with the purpose of leaving traditional management methods and replacing them with modern management methods. Thus, the present study sought to analyze the events and investigate the impact of IMS on health and safety performance indices in an Iranian combined cycle power plants.

Methods: This case study was conducted in 2012 in all units of the Yazd Combined Cycle Power Plant on accident victims before and after the implementation of IMS.

Design and cognitive evaluation of 6 dynamic lane departure warning symbols.

Objective: Lane departure, caused by inattention, distraction, drowsiness, or any unusual driver behavior, is a typical risk threatening the driver as well as other road users. Accurate perception of such situations through effective warnings would help drivers to avoid serious consequences. With regard to critical functions of warning symbols for risk communication, the present study focused on providing effective and easily perceivable symbols, compatible with human cognitive capabilities.

Impact of headway distance and car speed on drivers' decisions to answer an incoming call.

Objective: Previous studies on factors affecting drivers' decisions to use their mobile phones while driving are mostly focused on psychological and sociocultural contexts. Few investigations have been carried out on the role of traffic circumstances on drivers' decisions to use or not to use a mobile phone.

Methods: In this research, the effects of headway distance, speed, and the type of road as well as individual variables including age and driving experience are investigated.