On-Scene Injury Severity Prediction (OSISP) Algorithm for Truck Occupants

Objective: The aim of this study is to develop an on-scene injury severity prediction (OSISP) algorithm for truck occupants using only accident characteristics that are feasible to assess at the scene of the accident. The purpose of developing this algorithm is to use it as a basis for a field triage tool used in traffic accidents involving trucks. In addition, the model can be valuable for recognizing important factors for improving triage protocols used in Sweden and possibly in other countries with similar traffic environments and prehospital procedures.

Methods: The scope is adult truck occupants involved in traffic accidents on Swedish public roads registered in the Swedish Traffic Accident Data Acquisition (STRADA) database for calendar years 2003 to 2013. STRADA contains information reported by the police and medical data on injured road users treated at emergency hospitals. Using data from STRADA, 2 OSISP multivariate logistic regression models for deriving the probability of severe injury (defined here as having an Injury Severity Score [ISS] > 15) were implemented for light and heavy trucks; that is, trucks with weight up to 3,500 kg and ??16,500 kg, respectively. A 10-fold cross-validation procedure was used to estimate the performance of the OSISP algorithm in terms of the area under the receiver operating characteristic curve (AUC).

Results: The rate of belt use was low, especially for heavy truck occupants. The OSISP models developed for light and heavy trucks achieved cross-validation AUC of 0.81 and 0.74, respectively. The AUC values obtained when the models were evaluated on all data without cross-validation were 0.87 for both light and heavy trucks. The difference in the AUC values with and without use of cross-validation indicates overfitting of the model, which may be a consequence of relatively small data sets. Belt use stands out as the most valuable predictor in both types of trucks; accident type and age are important predictors for light trucks.

Conclusions: The OSISP models achieve good discriminating capability for light truck occupants and a reasonable performance for heavy truck occupants. The prediction accuracy may be increased by acquiring more data. Belt use was the strongest predictor of severe injury for both light and heavy truck occupants. There is a need for behavior-based safety programs and/or other means to encourage truck occupants to always wear a seat belt.     

The effect of an ergonomic intervention on musculoskeletal, psychosocial, and visual strain of VDT data entry work: the Polish part of the international study.

A group of routine data entry operators (female) was included in the Polish MEPS (musculoskeletal--eyestrain--psychosocial--stress) study. Before the intervention, ergonomic assessment revealed improper working conditions such as inadequate lighting, uncomfortable chairs, and lack of forearm and wrist support while medical examination revealed that trapezius muscle load along with upper arm, head and back angles were higher than advisable. Subjects complained about neck and shoulder pain, visual problems, and psychosocial conditions. The ergonomic intervention included installation of new luminaires and Venetian blinds, new chairs, repair of ventilators, and optometric corrections. The results after the intervention showed mainly improvement in chair comfort, lighting conditions, visual strain, and sitting posture. However, financial limitations did not allow satisfactory completion of the intervention leading to a mixed interpretation of the results.     

向挪威南部艾于德纳河中施加石灰:底栖无脊椎动物恢复的大规模试验

本研究描述了1985年向艾于德纳河溯河鱼类所在部分施加石灰后敏感的无脊椎动物的恢复情况.这条河流在1960～1970年间丧失了它的大马哈鱼种群.施加石灰的目的是产生pH＞6.0和ANC＞20μg/L的水质,并减少不稳定铝的含量.施加石灰前,在这条河中找不到像蜉蝣类的Baetis rhodanf等高度敏感的无脊椎动物.施加石灰2年后,一些敏感的无脊椎物种产生了积极的回应.河流下游有两处地点发现了B.rhodanf.在随后的5年里,一些敏感的无脊椎物种开始在施加石灰的整个河段聚集,并且数量越来越大.在向河流施加石灰10年后,出现了蜗牛Lymnaeaperegra.这个物种的扩散也非常迅速,5年后它可以在40km范围内施以石灰的的主要河流的所有调查地点被发现.在这一区域减少硫的沉降也引起了艾于德纳河未施加石灰的各支流水质的提高.施加石灰与未施加石灰的地点的比较说明了水质和敏感物种的临界限制是决定艾于德纳河动物组成的主要因素,而与水质变化的原因无关.     

Growth of northern deciduous trees under increasing atmospheric humidity: possible mechanisms behind the growth retardation

Regional Environmental Change - Increasing atmospheric humidity—a climate trend predicted for northern Europe—will reduce water flux through vegetation. Diminished transpirational water...     

Predawn disequilibrium between soil and plant water potentials in light of climate trends predicted for northern Europe

Regional Environmental Change - The study was performed on coppice shoots and 9-year-old saplings of hybrid aspen (Populus tremula L. × Populus tremuloides Michx.) growing at the Free Air...     

Behaviour of stream-dwelling brown trout towards odours present in home stream water

Summary Preference behaviour patterns of wild brown trout (Salmo trutta L.) towards odours in their home-stream water were measured in laboratory experiments. Stream-dwelling, sexually mature trout were captured by electrofishing in different sections of a stream, transferred to a hatchery, and exposed to water sampled from various stream sections and to neutral water, scented by fish captured in the same stream sections. The fish preferred stream water originating from their home stream over that from a neighboring stream. Among water samples from their home stream, they preferred water from the home sections over water from distant sections both upstream and downstream. In most cases they also preferred neutral water scented by other mature fish captured in their home section over water scented by fish from the distant sections. Trout from two neighboring stream sections showed indifferent responses towards water and fish from the adjacent section. The attractive properties of stream water sampled from home sections coincided with those obtained with neutral water scented by fish from the same sites. Accordingly, the attractive components in stream water may be intraspecific odours derived from separate spawning demes of fish present in local areas of the stream.     

How communities' perceptions of disasters influence disaster response: managing landslides on Mount Elgon,Uganda

The aim of this paper is to assess the role of people's perception in disaster management. It is based on a study carried out along the slopes of Mount Elgon in Eastern Uganda. People living in the study area have experienced a number of landslides, but the landslide in 2010 had the most far‐reaching effects on community livelihoods and resulted in a major setback to development efforts in the area. Experiences of landslides have enabled the local people to develop a number of interpretations of the causes and effects of the phenomena. The study revealed that community members did not share uniform perceptions. Whereas some members advanced technical or physical explanations for the 2010 disaster, others believed that some form of divine power was behind it. Strengthening social networks and integrating communities' perceptions in intervention mechanisms were identified as possible ways of managing future landslide disasters.