Activity

Host-specific natural enemies limit the abundance of common species. This can increase host community diversity, since no single species dominates, and is known as the ‘Janzen-Connell effect.’ Evidence is now accumulating that host-specific mutualists can increase abundances of particular host species, hence reducing community diversity, comprising a ‘reverse Janzen-Connell effect.’The gold standard treatment of end-stage liver disease continues to be liver transplantation (LT). The challenges of LT require skilled anesthesiologists to anticipate physiologic changes associated with end-stage liver disease and surgical considerations that affect multiple organ systems. While on the waiting list, patients may be placed on new anticoagulation medications that can confound already complex coagulopathy in LT patients. Pain management often is an afterthought for such a complex procedure, but appropriate medications can help control pain while limiting opioid medications. Surgical stress and medications for immunosuppression can affect perioperative glucose management in ways that have implications for patient and graft survival. The coronavirus disease 2019 pandemic in 2020 provided a new challenge for anesthesiologists. The uncertainty of the novel respiratory virus challenged providers beyond just LT patients.

Speed cameras have been implemented to improve road safety over recent decades in the UK. Although the safety impacts of the speed camera have been estimated thoroughly, the criteria for selecting camera sites have rarely been studied. This paper evaluates the current speed camera sites selection criteria in the UK based on safety performance.

A total of 332 speed cameras and 2,513 control sites with road traffic accident data are observed from 2002 to 2010. Propensity score matching method and empirical Bayes method are employed and compared to estimate the safety effects of speed cameras under different scenarios.

First, the main characteristics of speed cameras meeting and not meeting the selection criteria are identified. The results indicate that the proximity to school zones and residential neighborhoods, as well as population density, are the main considerations when selecting speed camera sites. Then the official criteria used for selecting camera sites are evaluated, including site length (a st (a stretch of road that has a fixed speed camera or has had one in the past), previous accident history, and risk value (a numerical scale of the risk level). The results suggest that a site length of 500 m should be used to achieve the optimum safety effects of speed cameras. Furthermore, speed cameras are most effective in reducing crashes when the requirement of minimum number of historical killed and seriously injured collisions (KSIs) is met. In terms of the risk value, it is found that the speed cameras can obtain optimal effectiveness with a risk value greater than or equal to 30, rather than the recommended risk value of 22.

Background Pallets are key components of domestic supply chains, and yet present unique hazards when used by homeowners and retailers for unintended uses. No previous works have investigated non-occupational injuries that occur due to unintentional contact with pallets. This study sought to describe the incidence and epidemiology of non-occupational pallet-related injuries as seen in United States emergency departments (EDs).

The National Electronic Injury Surveillance System database was used to derive national, weighted estimates of pallet-related injuries by age, sex, injured body part, and location where injury occurred. Data for the years 2014 to 2018 were analyzed with all relevant narratives reviewed.

From 2014 to 2018, there were an estimated 30,493 persons who visited an ED for a pallet-related injury. The yearly incidence of pallet injuries rose during this period. The 35-44 age group (n = 5,481) was most likely to be injured, but about 3,000 children and youth under 18 years of age were injurts.

Driver retirement and determination of fitness-to-drive are important aspects of reducing the risk of motor-vehicle collision for an older driver. A lack of information about the review process may lead to poor evaluation of drivers or an increased testing burden to referred drivers.

This paper evaluates the license review process for the state of Iowa. We evaluated data from January 2014 to January 2018 and described the source of referral, testing process, and ultimate license disposition. EGFR activation Cox proportional hazards for competing risk were used to determine the risk of having a change in restrictions on the license and the risk of license denial.

20,742 individuals were followed through the medical referral process. The most common source of referrals was licensing officials (39.7%). Drivers referred by licensing officials were less likely to be denied their license when compared to drivers from other sources (HR = 0.92 95%CI 0.87-0.98); however, licensing official referrals were more likely to result ircement compared to licensing officials. Practical Applications Licensing agencies should work with physicians and law enforcement to identify drivers who may need a review of their license. Comprehensive tracking of all medical referrals for a driver’s license review is important for individual states to understand the burden of their driver referral process and for identifying referral sources with a high proportion of referrals with no licensing change for targeted outreach and education.

Buses are different vehicles in terms of dimensions, maneuverability, and driver’s vision. Although bus traveling is a safe mode to travel, the number of annual bus crashes cannot be neglected. Moreover, limited studies have been conducted on the bus involved in fatal crashes. Therefore, identification of the contributing factors in the bus involved fatal crashes can reduce the risk of fatality.

Data set of bus involved crashes in the State of Victoria, Australia was analyzed over the period of 2006-2019. Clustering of crash data was accomplished by dividing them into homogeneous categories, and by implementing association rules discovery on the clusters, the factors affecting fatality in bus involved crashes were extracted.

Clustering results show bus crashes with all vehicles except motor vehicles and weekend crashes have a high rate of fatality. According to the association rule discovery findings, the factors that increase the risk of bus crashes with non-motor vehicles are old bus driver, collision with pedestrians at signalized intersections, and the presence of vulnerable road users.