Investigating avian competition for surface water in an arid zone bioregion

Interference competition has the potential to alter avian assemblages at long-lasting arid zone waterholes, particularly in a warming world, as more potentially aggressive species frequent these sites to drink. We used camera traps and observational surveys to investigate interference competition between terrestrial avian species at six long-lasting waterholes across three sampling seasons (two summers and one winter) within the MacDonnell Ranges Bioregion in central Australia. The proportion of individuals drinking for each of four dietary classes (granivores, nectarivores, omnivores, and insectivores) was modelled in relation to their abundance in the immediate waterhole habitat, which informed the potential for competition in each season. We then used the temporal overlap estimators to quantify the degree of competition between species at waterholes with species grouped into families (Meliphagidae, Ptilonorhynchidae, Estrildidae, and Rhipiduridae). We found the proportion of individuals drinking at waterholes was greatest during hot and dry periods, suggesting the potential for interference competition is greatest during these times. This was particularly the case for nectarivores where, in hot and dry conditions, the proportion of drinking individuals increased significantly as their abundance also increased in the waterhole habitat. We predicted that subordinate species would alter their activity periods to avoid competitive interactions with meliphagids (honeyeaters), however, we found there was a high degree of temporal overlap between all families sampled across all seasons. These results suggest subordinate species are unlikely to be excluded from long-lasting waterholes by potentially aggressive species, such as honeyeaters. However, some species may face trade-offs between foraging and accessing waterholes to stay hydrated as they shift their activity to avoid the hottest parts of the day during the summer months. Under global warming, extended hot and dry periods will likely create conditions where balancing energy and hydration requirements becomes increasingly difficult and results in the loss of body condition.</p

The German version of the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): psychometric properties and diagnostic utility

Background: The Posttraumatic Stress Disorder (PTSD) Checklist (PCL, now PCL-5) has recently been revised to reflect the new diagnostic criteria of the disorder. Methods: A clinical sample of trauma-exposed individuals (N = 352) was assessed with the Clinician Administered PTSD Scale for DSM-5 (CAPS-5) and the PCL-5. Internal consistencies and test-retest reliability were computed. To investigate diagnostic accuracy, we calculated receiver operating curves. Confirmatory factor analyses (CFA) were performed to analyze the structural validity. Results: Results showed high internal consistency (α = .95), high test-retest reliability (r = .91) and a high correlation with the total severity score of the CAPS-5, r = .77. In addition, the recommended cutoff of 33 on the PCL-5 showed high diagnostic accuracy when compared to the diagnosis established by the CAPS-5. CFAs comparing the DSM-5 model with alternative models (the three-factor solution, the dysphoria, anhedonia, externalizing behavior and hybrid model) to account for the structural validity of the PCL-5 remained inconclusive. Conclusions: Overall, the findings show that the German PCL-5 is a reliable instrument with good diagnostic accuracy. However, more research evaluating the underlying factor structure is needed

Jefferson Village Downtown District Plan

Jefferson Village is an incorporated municipality in Northeastern Ohio, with a population in 2000 of about 4000 residents. Originally founded in 1803 and incorporated in 1836, the Village has been the county seat for Ashtabula County since 1807. The Village is centrally located in Ashtabula County, 10 miles south of Lake Erie, and 10 miles west of the Pennsylvania border. Interstate highway 90 runs parallel to the lake shore, about 6 miles north of the village; and State Route 11 is a major north-south connector located about 2 miles east of the village. The primary employment locations in the Village are the downtown County administration and the independent professional offices that serve county-related needs, and a light industrial park to the southeast of downtown. The County fairground is also located within the village limits. While residential, commercial and retail growth have occurred over the years, the village still retains much of its original Western Reserve town character. Over 25% of the buildings in the downtown district have historic merit, and both Chestnut and Jefferson Streets are lined with older brick commercial buildings, as well as large, well-kept residences of Western Reserve, Georgian and Victorian architectural styles. Village administration is still based in the original Town Hall, and residents take much pride in the small town charm of the community. In 2006, new commercial development was proposed for Chestnut Street that would have required removal of a residence of historic character, replacing it with a new, generic commercial structure and a typical street-frontage parking lot. Residents were concerned, and public discourse in the local newspaper and at Town Hall led to withdrawal of the proposal. Village leadership felt that it was time to explore the historic character and economic future of the downtown district, and establish policy that could guide future decision making for the downtown

Jefferson Village Downtown District Plan

Jefferson Village is an incorporated municipality in Northeastern Ohio, with a population in 2000 of about 4000 residents. Originally founded in 1803 and incorporated in 1836, the Village has been the county seat for Ashtabula County since 1807. The Village is centrally located in Ashtabula County, 10 miles south of Lake Erie, and 10 miles west of the Pennsylvania border. Interstate highway 90 runs parallel to the lake shore, about 6 miles north of the village; and State Route 11 is a major north-south connector located about 2 miles east of the village. The primary employment locations in the Village are the downtown County administration and the independent professional offices that serve county-related needs, and a light industrial park to the southeast of downtown. The County fairground is also located within the village limits. While residential, commercial and retail growth have occurred over the years, the village still retains much of its original Western Reserve town character. Over 25% of the buildings in the downtown district have historic merit, and both Chestnut and Jefferson Streets are lined with older brick commercial buildings, as well as large, well-kept residences of Western Reserve, Georgian and Victorian architectural styles. Village administration is still based in the original Town Hall, and residents take much pride in the small town charm of the community. In 2006, new commercial development was proposed for Chestnut Street that would have required removal of a residence of historic character, replacing it with a new, generic commercial structure and a typical street-frontage parking lot. Residents were concerned, and public discourse in the local newspaper and at Town Hall led to withdrawal of the proposal. Village leadership felt that it was time to explore the historic character and economic future of the downtown district, and establish policy that could guide future decision making for the downtown

factor structure and symptom profiles

Background: The proposed ICD-11 criteria for trauma-related disorders define posttraumatic stress disorder (PTSD) and complex posttraumatic stress disorder (cPTSD) as separate disorders. Results of previous studies support the validity of this concept. However, due to limitations of existing studies (e.g. homogeneity of the samples), the present study aimed to test the construct validity and factor structure of cPTSD and its distinction from PTSD using a heterogeneous trauma-exposed sample. Method: Confirmatory factor analyses (CFAs) were conducted to explore the factor structure of the proposed ICD-11 cPTSD diagnosis in a sample of 341 trauma-exposed adults (n = 191 female, M = 37.42 years, SD = 12.04). In a next step, latent profile analyses (LPAs) were employed to evaluate predominant symptom profiles of cPTSD symptoms. Results: The results of the CFA showed that a six-factor structure (i.e. symptoms of intrusion, avoidance, hyperarousal and symptoms of affective dysregulation, negative self-concept, and interpersonal problems) fits the data best. According to LPA, a four-class solution optimally characterizes the data. Class 1 represents moderate PTSD and low symptoms in the specific cPTSD clusters (PTSD group, 30.4%). Class 2 showed low symptom severity in all six clusters (low symptoms group, 24.1%). Classes 3 and 4 both exhibited cPTSD symptoms but differed with respect to the symptom severity (Class 3: cPTSD, 34.9% and Class 4: severe cPTSD, 10.6%). Conclusions: The findings replicate previous studies supporting the proposed factor structure of cPTSD in ICD-11. Additionally, the results support the validity and usefulness of conceptualizing PTSD and cPTSD as discrete mental disorders

Confirmatory factor analysis of the Clinician-Administered PTSD Scale (CAPS-5) based on DSM-5 vs. ICD-11 criteria

Introduction Many studies have investigated the latent structure of the DSM-5 criteria for posttraumatic stress disorder (PTSD). However, most research on this topic was based on self-report data. We aimed to investigate the latent structure of PTSD based on a clinical interview, the Clinician-Administered PTSD Scale (CAPS-5). Method A clinical sample of 345 participants took part in this multi-centre study. Participants were assessed with the CAPS-5 and the Posttraumatic Stress Disorder Checklist (PCL-5). We evaluated eight competing models of DSM-5 PTSD symptoms and three competing models of ICD-11 PTSD symptoms. Results The internal consistency of the CAPS-5 was replicated. In CFAs, the Anhedonia model emerged as the best fitting model within all tested DSM-5 models. However, when compared with the Anhedonia model, the non-nested ICD-11 model as a less complex three-factor solution showed better model fit indices. Discussion We discuss the findings in the context of earlier empirical findings as well as theoretical models of PTSD

The dissociative subtype of PTSD in trauma-exposed individuals: a latent class analysis and examination of clinical covariates

Background A dissociative subtype of posttraumatic stress disorder (D-PTSD) was introduced into the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) but latent profiles and clinical correlates of D-PTSD remain controversial. Objective The aims of our study were to identify subgroups of individuals with distinct patterns of PTSD symptoms, including dissociative symptoms, by means of latent class analyses (LCA), to compare these results with the categorization of D-PTSD vs. PTSD without dissociative features according to the CAPS-5 interview, and to explore whether D-PTSD is associated with higher PTSD severity, difficulties in emotion regulation, and depressive symptoms. Method A German sample of treatment-seeking individuals was investigated (N = 352). We conducted an LCA on the basis of symptoms of PTSD and dissociation as assessed by the CAPS-5. Moreover, severity of PTSD (PCL-5), difficulties in emotion regulation (DERS), and depressive symptoms (BDI-II) were compared between patients with D-PTSD according to the CAPS-5 interview and patients without dissociative symptoms. Results LCA results suggested a 5-class model with one subgroup showing the highest probability to fulfill criteria for the dissociative subtype and high scores on both BDI and DERS. Significantly higher scores on the DERS, BDI and PCL-5 were found in the D-PTSD group diagnosed with the CAPS-5 (n = 75; 35.7%). Sexual trauma was also reported more often by this subgroup. When comparing the dissociative subtype to the LCA results, only a partial overlap could be found. Conclusions Our findings suggest that patients with D-PTSD have significantly more problems with emotion regulation, more depressive symptoms, and more severe PTSD-symptoms. Given the results of our LCA, we conclude that the dissociative subtype seems to be more complex than D-PTSD as diagnosed by means of the CAPS-5

Extracellular Bacterial Pathogen Induces Host Cell Surface Reorganization to Resist Shear Stress

Bacterial infections targeting the bloodstream lead to a wide array of devastating diseases such as septic shock and meningitis. To study this crucial type of infection, its specific environment needs to be taken into account, in particular the mechanical forces generated by the blood flow. In a previous study using Neisseria meningitidis as a model, we observed that bacterial microcolonies forming on the endothelial cell surface in the vessel lumen are remarkably resistant to mechanical stress. The present study aims to identify the molecular basis of this resistance. N. meningitidis forms aggregates independently of host cells, yet we demonstrate here that cohesive forces involved in these bacterial aggregates are not sufficient to explain the stability of colonies on cell surfaces. Results imply that host cell attributes enhance microcolony cohesion. Microcolonies on the cell surface induce a cellular response consisting of numerous cellular protrusions similar to filopodia that come in close contact with all the bacteria in the microcolony. Consistent with a role of this cellular response, host cell lipid microdomain disruption simultaneously inhibited this response and rendered microcolonies sensitive to blood flow–generated drag forces. We then identified, by a genetic approach, the type IV pili component PilV as a triggering factor of plasma membrane reorganization, and consistently found that microcolonies formed by a pilV mutant are highly sensitive to shear stress. Our study shows that bacteria manipulate host cell functions to reorganize the host cell surface to form filopodia-like structures that enhance the cohesion of the microcolonies and therefore blood vessel colonization under the harsh conditions of the bloodstream