The main objective of this paper was to analyse the roadway, environmental, and driver-related factors associated with an overrepresentation of frequency and severity of run-off-the-road (ROR) crashes. The data used in this study refer to the 6167 crashes occurred in the section Naples-Candela of A16 motorway, Italy in the period from 2001 to 2011. The analysis was carried out using the rule discovery technique due to its ability of extracting knowledge from large amounts of data previously unknown and indistinguishable by investigating patterns that occur together in a given event. The rules were filtered by support, confidence, lift, and validated by the lift increase criterion. A two-step analysis was carried out. In the first step, rules discovering factors contributing to ROR crashes were identified. In the second step, studying only ROR crashes, rules discovering factors contributing to severe and fatal injury (KSI) crashes were identified. As a result, 94 significant rules for ROR crashes and 129 significant rules for KSI crashes were identified. These rules represent several combinations of geometric design, roadside, barrier performance, crash dynamic, vehicle, environmental and drivers’ characteristics associated with an overrepresentation of frequency and severity of ROR crashes. From the methodological point of view, study results show that the a priori algorithm was effective in providing new information which was previously hidden in the data. Finally, several countermeasures to solve or mitigate the safety issues identified in this study were discussed. It is worthwhile to observe that the study showed a combination of factors contributing to the overrepresentation of frequency and severity of ROR crashes. Consequently, the implementation of a combination of countermeasures is recommended.Traffic crashes have become a leading cause of preventable deaths globally. CHS828 mouse Identifying high-risk segments not only benefits safety specialists to better understand crash patterns but also reminds road users to be aware of driving risks. This study reports on a new crowdsourcing solution to identify high-risk highway segments by analyzing driving jerks. Driving jerks represent the abrupt changes of acceleration, which have been shown to be closely related to traffic risks. In this study, we first calculate driving jerks from each participant’s naturalistic driving data and identify “unsafe” drivers based on their jerk-ratio. Then, we innovatively propose an improved line-constrained clustering method to identify each participant’s jerk clusters on each road. These individual-specific jerk clusters are overlapped with road networks to identify potential risky segments. By synthesizing these potential risky segments reported by different participants, we obtain the final detection results for high-risk highway segments. In this study, we compare the jerk-cluster-determined risky segments with crash-rate-determined risky segments to evaluate the proposed solution’s effectiveness. The study results demonstrate that our crowdsourcing solution can effectively identify high-risk road segments with an estimated 75 % accuracy. More importantly, by analyzing this valued surrogate measure, safety specialists can identify hazardous road segments before crashes occur.The aim of this cross-sectional mixed-method study was to understand the current use, and practices to support the implementation, of sit-stand workstations (SSWs) from the perspective of furniture purchasing decision makers in Australian organisations. An online survey, and in-depth interviews with a purposive sub-sample were conducted. A total of 216 eligible participants from 150 organisations across 18 sectors completed the survey with 17 interviews conducted. 40% of organisations provided SSWs on request while 41% reported not using them appropriately. Over half provided no training on the appropriate use of SSWs (n = 109, 51%) nor used any strategies to enhance their use (n = 163, 84%). From the interviews, SSWs were perceived effective in reducing discomforts and increasing employees’ satisfaction and productivity. Lack of resources and guidelines to support SSW usage, and lack of wellbeing knowledge, were identified as barriers. Education and ongoing monitoring are important to enhance the appropriate use and uptake of SSWs.

We described a new treatment model for Posttraumatic Stress Disorder (PTSD) and Dissociative Identity Disorder (DID), based on cognitive-behavioural principles. In this model, dissociation is seen as a maladaptive avoidant coping strategy. In addition, we stress that patients have dysfunctional beliefs about dissociation. Both elements, avoidance behaviour and dysfunctional beliefs, are challenged during the brief, intensive trauma-focused treatment. When the PTSD-symptoms decrease, the patient is offered a fare-well ritual to say goodbye to their identities in one or more additional sessions.

We illustrate this treatment approach with a case report of a woman with PTSD as a result of sexual abuse in her childhood, and DID with four identities. Treatment outcome was measured at intake, at pre-treatment, at post-treatment and at 3 and 6 months follow-up.

After the short treatment of only 2 weeks, she no longer fulfilled the DSM-5 diagnostic criteria for PTSD nor DID. These results were maintained at the follow-ups.

Although we included a baseline-controlled time phase, it was not a controlled study, and only one patient was treated.

This new treatment model for DID-patients is promising but results should be interpreted cautiously since we described only one patient.

This new treatment model for DID-patients is promising but results should be interpreted cautiously since we described only one patient.We aimed to directly convert adult human dermal fibroblasts (aHDFs) into functional endothelial cells (ECs). Lentiviral vectors encoding endothelial transcription factors (TFs) were constructed. We examined whether five TFs (FOXO1, ER71, KLF2, TAL1, and LMO2) used for the generation of mouse induced ECs (iECs) could convert the aHDFs into human iECs. Twenty-eight days after transduction with lentiviral constructs, 32.1 ± 5.1% cells expressed vascular endothelial (VE)-cadherin. Factor screening revealed that only three factors (3F ER71, KLF2, and TAL1) were necessary to induce VE-cadherin (+) cells (49.4 ± 3.5%). However, whole transcriptome sequencing showed that VE-cadherin (+) cells were not completely reprogrammed. Mature iECs double-positive for VE-cadherin/Pecam1 (DP cells) with a cobblestone appearance were obtained at a frequency of only 5.1 ± 0.6%. Using whole transcriptome analysis, the potential factors that could block the conversion were screened. Among candidates TWIST1-knockdown enhanced efficiency of conversion.