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Environmental Indicators in Relation to Heat-Related Accidents in Construction
No full textThis study investigates environmental indicators linked to heat-related illnesses in the U.S. construction industry by leveraging a dataset of historical accident records and meteorological data. The focus is on the analysis of heat stress events documented by the Occupational Safety and Health Administration (OSHA) which have resulted in reported heat-related illnesses (HRI) including events that have resulted in fatalities among construction workers. Using web-scraping and text-mining techniques, this study integrates information from the OSHA dataset with relevant meteorological conditions, offering a comprehensive view of the environmental indicators influencing the incidents. To further investigate the data, this study utilizes calculations of microclimate simulation and environmental heat stress assessments, enhancing our understanding of the empirical relationships between environmental heat stress and its impacts on the health and well-being of construction workers. The result suggests that single environmental indicators do not fully encompass the risk involved in assessing heat-related illnesses. It was found that simple indicators used in the field including air temperature are often less associated with the trends in heat-related illness accidents compared to other environmental indicators including solar heat. Heat index appeared to not be associated with trends of heat-related accidents compared to the use of WBGT which reveals the importance of considering solar heat on construction jobsites. The analysis of misevaluation cases between heat index and WBGT revealed that heat risk could be incorrectly evaluated without consideration of solar heat which is commonly found in construction practices. The case study investing heat specific indicators further grasped the occurrence of misevaluations between the two environmental indicators. The findings could be fundamental for proactive measures to protect workers from heat-related illnesses, ultimately leading to an increased understanding of heat-related risk ensuring a safer work environment in construction
Effect of Planting Date and Maturity Group on Soybean Yield in the Texas South Plains in 2001
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The Relationship Between Partner Infidelity and Attachment Security
Get PDFAdult romantic attachment, a popular topic in the field of social psychology, is often described as a continuum across two latent variables: anxiety (fear of abandonment and related constructs) and avoidance (discomfort with intimacy and related constructs). High scores on one or both of these variables is often referred to as attachment "insecurity." Few articles within adult attachment literature include discussions of infidelity, and even fewer are concerned with the attachment security of those who have experienced partner infidelity and been cheated on. Couple���s therapists often conceptualize infidelity as an attachment injury which may trigger latent attachment insecurities, but little empirical research has been conducted to demonstrate this. The objective of this study is to investigate whether people who have had past experiences of partner infidelity and are currently in a relationship vary in attachment security from those who have not experienced partner infidelity. This study also examines differences between the nature of the infidelity experienced (emotional cheating, sexual cheating, or both), as well as gender differences. This study analyzes data that has been previously collected in an ongoing study in the Emotion Science Lab. It is anticipated that those who have experienced partner infidelity in the past will be more insecurely attached (anxious and/or avoidant) in their current relationships than those who have not experienced partner infidelity. Overall, this research seeks to corroborate and empirically validate past clinical impressions of the role of infidelity in attachment insecurity.��
Project in Process: Machine Learning in the CRS Architectural Archive
Get PDFPoster presentation, 40" x 90", originally printed on canvas.Architectural histories of the recent past are challenged by the overwhelming quantity and complexity of documentation. This is especially the case for histories of large professional practices. Researchers at Texas A&M University have addressed some of these challenges by introducing machine learning-based data practices into the processing of the CRS Archives, which holds, among other things, the largest collection of historic architectural programs from the second half of the twentieth century.This research was supported by a Texas A&M Triads for Transformation (T3) Grant and a CRS Probes Grant. Portions of this research were conducted with the advanced computing resources provided by Texas A&M High Performance Research Computing. We are grateful to Lincoln Clark-Bateman and Ava Carlson for their hard work