Public health consequences of road traffic injuries – Estimation of seriously injured persons based on risk for permanent medical impairment

Despite the fact, that Sweden has one of the safest traffic environments in the world, a large number of people are still injured in road traffic accidents in Sweden. The core concept of the Vision Zero that was adopted by the Swedish parliament in 1997 is to decrease the number of deaths and serious injuries caused by traffic. The vision has been followed-up in terms of decreased mortality, but there was not a consensus on how the concept “seriously injured” should be measured at that time. The aim of this paper is to describe how to develop a measure to estimate the number of seriously injured people in Sweden. The results show that it is possible to estimate the health impact of road traffic accidents based on the definition of medical impairment. According to the results, 8389 people were seriously injured (permanently medical impaired more then 1%) in the road transport area in Sweden in 2013. If the number of people who had slipped or fallen down without any vehicle being involved is excluded, the number of seriously injured was around 4700. The result of the study has been included in the road safety goal for Sweden with the aim to have 25% less seriously injured people in 2020 than the average for the years 2006–2008. The results also showed that 91% of the seriously injured were transported by car, bike or by foot. The relatively high proportion of pedestrian fall accidents happening within the transport system irrespective of whether a vehicle was moving or not raises the question whether these types of accidents should be included in the reporting of formal road traffic accidents.     

Explicit or implicit situation awareness? Measuring the situation awareness of train traffic controllers

Previous research on situation awareness (SA) predominantly focused on its explicit, reasoned, conscious features rather than on the implicit, intuitive, unconscious aspects that are often identified with expert operators. This research investigated implicit levels of SA of train traffic controllers (TTCs) in order to contribute to the body of knowledge on rail human factors research and SA. A novel approach was used to uncover levels of implicit SA through a set of three analyses: (1) fairly low SAGAT values with correlations between SAGAT scores and multiple performance indicators; (2) negative correlations between work experience and SAGAT scores; and (3) structurally lower level-1 SA (perception) scores in comparison to level-2 SA (comprehension) scores in accordance with Endsley’s three-level model. Two studies were conducted: A pilot study – which focused on SA measurements with TTCs in a monitoring mode (N = 9) – and the main study, which involved TTCs from another control center (N = 20) and three different disrupted conditions. In the pilot study, SA was measured through the situation-awareness global assessment technique (SAGAT), perceived SA and observed SA, and performance was measured through punctuality and unplanned stops of trains before red signals. In the main study, SA was measured through SAGAT, and perceived SA and multiple performance indicators, such as arrival and departure punctuality and platform consistency, were assessed. In both studies, the set of three analyses showed consistent and persistent indications of the presence of implicit SA. Endsley’s three-level model and related SAGAT method can be constrained by the presence of these intuitive, unconscious processes and inconsistent findings on correlations between SAGAT scores and performance. These findings provide insights into the SA of TTCs in the Netherlands and can support the development of training programs and/or the design of a new traffic management system.     

Blaming a Few Bad Apples to Save a Threatened Barrel: The System‐Justifying Function of Conspiracy Theories

This research demonstrates that conspiracy theories—often represented as subversive alternatives to establishment narratives—may bolster, rather than undermine, support for the social status quo when its legitimacy is under threat. A pilot study (N = 98) found a positive relationship between conspiracy belief and satisfaction with the status quo. In Study 1 (N = 120), threatening (vs. affirming) the status quo in British society caused participants to endorse conspiracy theories. In Study 2 (N = 159), exposure to conspiracy theories increased satisfaction with the British social system after this had been experimentally threatened. In Study 3 (N = 109), this effect was mediated by the tendency for participants exposed (vs. not exposed) to conspiracy theories to attribute societal problems relatively more strongly to small groups of people rather than systemic causes. By blaming tragedies, disasters, and social problems on the actions of a malign few, conspiracy theories can divert attention from the inherent limitations of social systems.     

当代中国临床医学伦理准则建设论纲

我国当代临床医学伦理准则亟待出台，建设时机现已水到渠成，为积极参与这项重要的建设工程，本文提出了找准现实生长点为根本课题的基本建设思路，并以病人中心准则为核心探索性地设计出了准则体系。     

论马克思主义科学技术观的伦理维度

马克思主义对科学技术与伦理价值的关系作了辩证的分析,既充分肯定了科学技术在社会发展中的伟大作用,又以系统的技术整体论超越了技术决定论,强调科学技术的作用是在生产力的系统结构中实现的。在分析科学技术的负面效应时,深刻揭示了科学技术在资本主义制度下的价值偏向,以制度批判超越了对科学技术的批判。马克思主义把科学技术与伦理价值置于人类社会历史背景之中,在人类实践基础上融通了两者的关系。     

目击辨认研究概览

目击辨认的结果作为证据对于法庭判决具有重要意义。DNA证据显示辨认似乎不可靠,心理学家试图了解影响辨认准确性的因素。文章介绍了西方目击辨认研究的范式,估计变量和系统变量对辨认的影响,并分析目击辨认研究存在的理论缺乏和外部效度问题,从而为今后研究提供参考     

Exposure to rf electromagnetic energy decreases aggressive behavior

It was predicted from the dopamine-opiate system hypothesis that aggression induced by light tail pressure would be modified by exposure of the animals to radiofrequency electromagnetic energy. In a series of three experiments, it was found that there was a substantial decrease in aggressive behavior during exposure to EM energy at incident power densities as low as 50 μW/cm². This is consistent with previously published reports that indicate the dopamine and opiate systems of the brain are influenced by exposure to low-intensity EM energy. It would appear that EM energy exposure could be used as a probe in the study of aggression and in relating it to brain chemistry. Since this energy has become ubiquitous in the environment, and quite uneven in distribution, there may be implications for understanding aggressive behavior from a clinical standpoint as well as from the standpoint of necessary controls in experiments.     

The impact of auditory continual feedback on take-overs in Level 3 automated vehicles

ObjectiveTo implement auditory continual feedback into the interface design of a Level 3 automated vehicle and to test whether gaze behavior and reaction times of drivers improved in take-over situations.BackgroundWhen required to assume manual control in take-over situations, drivers of Level 3 automated vehicles are less likely than conventional drivers to spot potential hazards, and their reaction time is longer. Therefore, it is crucial that the interface of Level 3 automated vehicles will be designed to improve drivers’ performance in take-over situations.MethodIn two experiments, participants drove a simulated route in a Level 3 automated vehicle for 35 min with one imminent take-over event. Participants’ gaze behavior and performance in an imminent take-over event were monitored under one of three auditory interface designs: (1) Continual feedback. A system that provides verbal driving-related feedback; (2) Persistent feedback. A system that provides verbal driving-related feedback and a persistent beep; and (3) Chatter feedback. A system that provides verbal non-driving-related feedback. Also, there was a control group without feedback.ResultsUnder all three auditory feedback designs, the number of drivers' on-road glances increased compared to no feedback, but none of the designs shortened reaction time to the imminent event.ConclusionIncreasing the number of on-road glances during automated driving does not necessarily improve drivers’ attention to the road and their reaction times during take-overs.ApplicationPossible implications for the effectiveness of auditory continual feedback should be considered when designing interfaces for Level 3 automated vehicles.     

A bio-inspired model of behavior considering decision-making and planning,spatial attention and basic motor commands processes

Cognitive architectures (CA) are an IA approach to implement computer systems with human-like behavior. Fundamental exhibited human capabilities include planning and decision-making. In that regard, numerous AI systems successfully exhibit human-like behavior but are limited to either achieving specific objectives or are restrained to too heavily constrained environments, which makes them unsuitable in the presence of unforeseen situations where autonomy is required. To try to alleviate the problem, we present a bio-inspired computational model to solve the autonomous navigation problem of a computational entity in a controlled context. This proposal is the result of the interaction between planning and decision-making, spatial attention and the motor cognitive functions. The proposed model is based on neuroscientific evidence concerning the involved cognitive functions and is part of a more general cognitive architecture. In the case study developed to validate our idea, we can see that the processes previously identified play an important role to accomplish spatial navigation. In the case study presented, an agent achieves the navigation over an unexplored maze from an initial to a final position successfully. The reunited results motivate us to continue improving our model considering attentional information to influence the agent’s motor behavior.