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Many fatal accidents happen in agriculture and some of them are not officially recorded. The aim of this research was to compare official to real data about fatal accidents in agriculture and to characterize and evaluate the main risk factors associated with them. A comparative study of 388 fatal

of statistical evaluation methods, and interpreting the valuable patterns. With regard to solving this problem, this paper proposes a clustering approach for mining spatio-temporal data of fatal accident using local triangular kernel clustering (LTKC) algorithm. LTKC is kernel-density-based clustering algorithm

Background: All over the world motorcycle accident are one of the major causes of road death and injury. This study aimed to determine the pattern of Motorcycle Fatal Accidents in Mashhad-Iran. Methods: This descriptive cross-sectional study was carried out in 2006 to analyze the epidemiological

Abstract- Since 2008, the authors inspected fatal traffic accidents on the spot every year, with the cooperation of Toyota police station in Aichi pref. In the jurisdiction, numbers of fatal accidents were 18 in 2008, 12 in 2009, 14 accidents in 2010, and 16 in 2011. We here report the results

Pedestrian traffic accidents cause high fatality rates because of the frailty of the human body. This study

“How did humans evolve such remarkable intellectual powers? ” This is surely one of the most enduring and captivating questions in the life sciences, from paleoanthropology to neuroscience. Modern humans (Homo sapiens sapiens) far exceed all other species in their ability to learn, reason, and solve novel problems. We are, most strikingly, the only species whose members routinely use words and other abstract symbols to communicate with each other, record ideas in material form, and imagine alternative futures. Perhaps for these reasons, we are the only species ever to have developed complex technologies that allow us radically to transform the physical environments we inhabit. Human intelligence is tied in some manner to the large increase in brain size going up the human evolutionary tree (Geary, 2005b; Holloway, 1996; Jerison, 2002). When the encephalization quotient (EQ; Jerison, 2002) is used to measure brain size relative to body size, modern humans are three times as encephalized (EQ = 6) as other primates (EQ = 2) and six times the average for all living mammals (EQ = 1, the reference group). This phylogenetic increase represents a disproportionate expansion of the brain’s prefrontal cortex (Schoenemann, Sheehan, & Glotzer, 2005), which matures last and is most essential for the highest cognitive functions, including weighing alternatives, planning, understanding the temporal order of events (and thus cause-and-effect relations), and making decisions (Johnson, 2005). Moreover, encephalization of the human line proceeded rather quickly, in evolutionary terms, after the first hominids (Australopithicines, EQ = 3) split off from their common ancestor with chimpanzees (EQ = 2) about 5 million years ago. Encephalization was especially rapid during the last 500,000 to one million years (Aiello & Wheeler, 1995; Geary,

of narrative analysis for comparisons of the

from April 2006

.7, 95 per cent confidence interval (Cl) 1.1-2.8) or separated/divorced (RR = 2.4, Cl 1.5-3.8); occupation as manager, executive or administrator (RR = 2.5, Cl 1 5-5.8); and commuting (RR = 1.6, Cl 1.2-2.0). In fatal vehicle accidents, BAC> 50mg% was measured significantly more frequently (RR = 1