Exploring bias in incident investigations: An empirical examination using construction case studies.

Introduction: Incident investigation is a foundational tool of safety management. Determining the causal factors of any incident underpins organizational learning and subsequent positive change to processes and practices. Research of incident investigation has largely focused on what information to collect, how to analyze it, and how to optimize resultant conclusions and organizational learning.

Formal evaluation of construction safety performance metrics and a case for a balanced approach.

Introduction: Measuring safety performance is crucial to making informed decisions that improve construction safety management. Traditional approaches to construction safety performance measurement primarily focus on injury and fatality rates, but researchers have recently proposed and tested alternative metrics such as safety leading indicators and safety climate assessments. Although researchers tend to extol the benefits of alternative metrics, they are studied in isolation and the potential weaknesses are rarely discussed, leaving a critical gap in knowledge.

Construction Safety Risk Modeling and Simulation.

By building on a genetic-inspired attribute-based conceptual framework for safety risk analysis, we propose a novel approach to define, model, and simulate univariate and bivariate construction safety risk at the situational level. Our fully data-driven techniques provide construction practitioners and academicians with an easy and automated way of getting valuable empirical insights from attribute-based data extracted from unstructured textual injury reports. By applying our methodology on a data set of 814 injury reports, we first show the frequency-magnitude distribution of construction safety risk to be very similar to that of many natural phenomena such as precipitation or earthquakes.

Causes and Consequences of Occupational Fatigue: Meta-Analysis and Systems Model.

Objective: The study objective was to statistically codify empirical occupational fatigue literature into a systems model depicting causal factors of fatigue; interrelationships among causal factors; outcomes of fatigue; and interrelationships among outcomes.

Methods: The objective was achieved via a comprehensive and systematic review of existing literature and the first statistical meta-analysis of occupational fatigue.

Results: The drivers of fatigue with the greatest effect sizes include sleep deprivation and work environment factors such as noise, vibration, and temperature.

Fibroblast growth factor receptor 3 interacts with and activates TGFβ-activated kinase 1 tyrosine phosphorylation and NFκB signaling in multiple myeloma and bladder cancer.

Cancer is a major public health problem worldwide. In the United States alone, 1 in 4 deaths is due to cancer and for 2013 a total of 1,660,290 new cancer cases and 580,350 cancer-related deaths are projected. Comprehensive profiling of multiple cancer genomes has revealed a highly complex genetic landscape in which a large number of altered genes, varying from tumor to tumor, impact core biological pathways and processes.