scholarly journals Scoping Review of EEG Studies in Construction Safety

2019 ◽  
Vol 16 (21) ◽  
pp. 4146 ◽  
Author(s):  
Yamei Zhang ◽  
Mingyi Zhang ◽  
Qun Fang
Keyword(s):  
Mental Status ◽  
Safety Management ◽  
Work Conditions ◽  
Construction Safety ◽  
Future Research ◽  
Construction Tasks ◽  
Potential Risks ◽  
Electroencephalogram Eeg ◽  
The Brain ◽  
Working Hour

Construction safety is critical in the success of a project. A considerable amount of effort has been placed on research and practice in order to reduce the potential risks on the construction site. Recent application of electroencephalogram (EEG) to construction research enables researchers to gain insight into construction workers’ physical and mental status during construction tasks. By summarizing existing studies that involve EEG and construction safety, the literature review aims to provide practical suggestions for future research and on-site safety management. The literature search and inclusion process included eleven eligible studies. Comprehensive analysis was conducted based on primary and secondary measures. The primary measures considered the frequency bands of EEG and the channels for detecting electrical activity of the brain. The secondary measures that were involved with physical and mental status with respect to EEG signal variations as a result of task, working hour, and work conditions. Although the field of study that combines EEG measures with construction tasks is still emerging, it is worth continuous attention in the future, as relevant findings would be of great value to the safety management and risk control in the construction industry.

scholarly journals Construction Safety on Scaffolding: Building Information Modeling (BIM) and Safety Management

2019 ◽  
Vol 5 (2) ◽  
pp. 46-60 ◽  
Author(s):  
Mário António Rebelo ◽  
Francisco Renato Silveira ◽  
Elzbieta Czarnocka ◽  
Krzysztof Czarnocki
Keyword(s):  
Construction Industry ◽  
Building Information Modeling ◽  
Safety Management ◽  
Construction Safety ◽  
Information Modeling ◽  
Worker Safety ◽  
Occupational Accidents ◽  
Future Research ◽  
Risk Levels ◽  
Building Information

The construction industry is one of the most hazardous industries, with a high number of working injuries and fatalities. A special issue for occupational accidents in the construction industry is the use of scaffolds, which is usually attributed to falls from height. Research and practice have demonstrated that decisions made upstream from the construction site can influence construction worker safety. Therefore, it is crucial to assess the risk levels for different construction stages on scaffolding, with various work trades, aiming to prevent the occurrence of fall accidents. The use of new techniques and methodologies, such as Building Information Modeling (BIM), is of major importance. The growing implementation of BIM in Architecture, Engineering and Construction (AEC) is changing the way safety can be approached. This study reviews the existing literature about BIM and construction safety on scaffolding, to explore useful findings and detect knowledge gaps for future research. Despite the enormous evolution of research and technological innovations based on BIM for construction safety, there is still a flagrant lack of knowledge and solutions for identifying hazards related to construction on scaffolding.

MACHINE LEARNING APPLICATIONS IN CONSTRUCTION SAFETY LITERATURE

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kerim Koc ◽  
Asli Pelin Gurgun
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Management Practices ◽  
Prediction Models ◽  
Safety Management ◽  
Model Development ◽  
Construction Safety ◽  
Future Research ◽  
Support Vector ◽  
Construction Accidents

Despite significant improvements in safety management practices, the construction industry remains among the most unsafe industries. Thus, it is an essential need to reduce the number of construction accidents through prediction models. In this context, machine learning (ML) methods are extensively used in construction safety literature to predict several outcomes of construction accidents. This study provides a literature review in ML applications in construction safety literature to illustrate research directions for future research. Based on the literature review, 43 journal articles were deeply investigated, and distribution of the articles were classified based on six features: journal, year, adopted machine learning methods, model development approach, utilized dataset, and sub-topics. The findings show that the prediction models in construction safety have taken considerable attention recently. Besides, linear regression and logistic regression were used as a benchmark model, while support vector machine and decision tree were the most frequently implemented ML methods. The number of publications that considered classification problem is two times higher than those adopted regression models. Utilized data were mainly captured from national databases or construction companies. Severity evaluation of construction accidents was the most widely investigated sub-topic, while there is a gap in the literature related to effects of culture on accident outcome and conflict, claim and nonconformance. The findings of this study can provide valuable information for researchers with trends in construction safety literature.

scholarly journals Involvement of Microglia in the Pathophysiology of Intracranial Aneurysms and Vascular Malformations—A Short Overview

2021 ◽  
Vol 22 (11) ◽  
pp. 6141
Author(s):  
Teodora Larisa Timis ◽  
Ioan Alexandru Florian ◽  
Sergiu Susman ◽  
Ioan Stefan Florian
Keyword(s):  
Immune Cells ◽  
Arteriovenous Malformations ◽  
Intracranial Aneurysms ◽  
Immune Cell ◽  
Vascular Malformations ◽  
Cerebral Injury ◽  
Future Research ◽  
Mortality And Morbidity ◽  
The Central Nervous System ◽  
The Brain

Aneurysms and vascular malformations of the brain represent an important source of intracranial hemorrhage and subsequent mortality and morbidity. We are only beginning to discern the involvement of microglia, the resident immune cell of the central nervous system, in these pathologies and their outcomes. Recent evidence suggests that activated proinflammatory microglia are implicated in the expansion of brain injury following subarachnoid hemorrhage (SAH) in both the acute and chronic phases, being also a main actor in vasospasm, considerably the most severe complication of SAH. On the other hand, anti-inflammatory microglia may be involved in the resolution of cerebral injury and hemorrhage. These immune cells have also been observed in high numbers in brain arteriovenous malformations (bAVM) and cerebral cavernomas (CCM), although their roles in these lesions are currently incompletely ascertained. The following review aims to shed a light on the most significant findings related to microglia and their roles in intracranial aneurysms and vascular malformations, as well as possibly establish the course for future research.

scholarly journals Applying Sensor-Based Technology to Improve Construction Safety Management

Sensors ◽  
2017 ◽  
Vol 17 (8) ◽  
pp. 1841 ◽  
Author(s):  
Mingyuan Zhang ◽  
Tianzhuo Cao ◽  
Xuefeng Zhao
Keyword(s):  
Safety Management ◽  
Construction Safety ◽  
Construction Safety Management

Priors and Prejudice: How prior knowledge shapes intergroup perception

2021 ◽  
Author(s):  
Hugh McGovern ◽  
Marte Otten
Keyword(s):  
Social Psychology ◽  
Prior Knowledge ◽  
Cognitive Processes ◽  
Social Neuroscience ◽  
Intergroup Bias ◽  
Predictive Processing ◽  
Future Research ◽  
Intergroup Perception ◽  
The Brain ◽  
Processing Framework

Bayesian processing has become a popular framework by which to understand cognitive processes. However, relatively little has been done to understand how Bayesian processing in the brain can be applied to understanding intergroup cognition. We assess how categorization and evaluation processes unfold based on priors about the ethnic outgroup being perceived. We then consider how the precision of prior knowledge about groups differentially influence perception depending on how the information about that group was learned affects the way in which it is recalled. Finally, we evaluate the mechanisms of how humans learn information about other ethnic groups and assess how the method of learning influences future intergroup perception. We suggest that a predictive processing framework for assessing prejudice could help accounting for seemingly disparate findings on intergroup bias from social neuroscience, social psychology, and evolutionary psychology. Such an integration has important implications for future research on prejudice at the interpersonal, intergroup, and societal levels.

Effects of long-term oral administration of silver nanoparticles on the cognitive functions of mammals

2021 ◽  
Vol 29 (6) ◽  
pp. 33-38
Author(s):  
Anna Alexandrovna Antsiferova ◽  
Marina Yurievna Kopaeva ◽  
Vyacheslav Nikolaevich Kochkin ◽  
Pavel Konstantinovich Kashkarov
Keyword(s):  
Silver Nanoparticles ◽  
Oral Administration ◽  
Dietary Supplement ◽  
Cognitive Functions ◽  
High Demand ◽  
Gastrointestinal Infections ◽  
Impaired Cognitive Function ◽  
Potential Risks ◽  
The Brain

Introduction. Since the beginning of the XXI century, silver nanoparticles have been widely used in various industries, medicine and pharmaceuticals due to their pronounced antibacterial, antiviral and fungicidal properties. In connection with such a high demand for the use of silver nanoparticles, it is very important to understand the associated potential risks from their use. Materials and methods. In the course of the work, there has been a study of the effects of the long-term oral administration of a commercially produced dietary supplement based on silver nanoparticles with a size of 34 nm and stabilized with polyvinylpyrrolidone in an amount of 50 μg/day/animal on the cognitive functions of C57Bl/6 mice, as well as their accumulation in the brain by the method of instrumental neutron activation analysis. The dietary supplement used is recommended for people as a treatment for gastrointestinal infections. Results. It was found that after 180 days of administration, silver nanoparticles impair long-term contextual memory, and over time, the content of silver in the brain increases. Conclusion. Presumably impaired cognitive function with accumulation of silver in the brains of mice. This poses the risk of prolonged oral use of the silver nanoparticles.

Information-based analysis of the coupling between brain and heart reactions to olfactory stimulation

2021 ◽  
pp. 1-11
Author(s):  
Najmeh Pakniyat ◽  
Mohammad Hossein Babini ◽  
Vladimir V. Kulish ◽  
Hamidreza Namazi
Keyword(s):  
Time Series ◽  
Biomedical Science ◽  
Strongly Correlated ◽  
Eeg Signals ◽  
Ecg Signals ◽  
Olfactory Stimuli ◽  
Electrocardiogram Ecg ◽  
First Time ◽  
Electroencephalogram Eeg ◽  
The Brain

BACKGROUND: Analysis of the heart activity is one of the important areas of research in biomedical science and engineering. For this purpose, scientists analyze the activity of the heart in various conditions. Since the brain controls the heart’s activity, a relationship should exist among their activities. OBJECTIVE: In this research, for the first time the coupling between heart and brain activities was analyzed by information-based analysis. METHODS: Considering Shannon entropy as the indicator of the information of a system, we recorded electroencephalogram (EEG) and electrocardiogram (ECG) signals of 13 participants (7 M, 6 F, 18–22 years old) in different external stimulations (using pineapple, banana, vanilla, and lemon flavors as olfactory stimuli) and evaluated how the information of EEG signals and R-R time series (as heart rate variability (HRV)) are linked. RESULTS: The results indicate that the changes in the information of the R-R time series and EEG signals are strongly correlated (ρ=-0.9566). CONCLUSION: We conclude that heart and brain activities are related.

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