The development and initial validation of a therapist-rated measure of the real relationship in psychotherapy (the Real Relationship Inventory-Therapist Form [RRI-T]) is reported. Using a sample (n ϭ 80) of practicing psychotherapists and on the basis of prior theory, the authors developed a 24-item measure consisting of 2 subscales (Realism and Genuineness) and a total score. This 24-item version and other measures used for validation were completed by 79 additional practicing therapists and 51 counseling graduate students (n ϭ 130). The RRI-T was found to have high reliability and sound initial validity. As theorized, the RRI-T correlated significantly with measures of working alliance, session outcome (depth and smoothness), client intellectual and emotional insight, and client negative transference. Discriminant validity was supported by a nonsignificant relation to social desirability.
Since 2015, the Global Earthquake Model (GEM) Foundation and its partners have been supporting regional programs and bilateral collaborations to develop an open global earthquake risk model. These efforts led to the development of a repository of probabilistic seismic hazard models, a global exposure dataset comprising structural and occupancy information regarding the residential, commercial and industrial buildings, and a comprehensive set of fragility and vulnerability functions for the most common building classes. These components were used to estimate probabilistic earthquake risk globally using the OpenQuake-engine, an open-source software for seismic hazard and risk analysis. This model allows estimating a number of risk metrics such as annualized average losses or aggregated losses for particular return periods, which are fundamental to the development and implementation of earthquake risk mitigation measures.
This paper focuses on the effects of the earthquake which struck the Abruzzo region (Central Italy) on April 6 2009, causing considerable damage to many ancient buildings, particularly churches. During the emergency after the earthquake, many churches and other historical monuments (towers, city walls, large town houses, etc.) were surveyed, according to first-level damage survey forms for Cultural Heritage buildings, by multidisciplinary working groups composed of experts from several Italian institutions (Universities, Ministry for Cultural Heritage, Fire Brigade, etc.). This paper presents a statistical study on the information collected by the University of Padova during the surveys, which was later inserted and organized in a database, and illustrates data on damage assessment of the buildings in question. It also presents an intuitive overview of the seismic effects on several churches, allowing not only better understanding of the response of these structures to this particular earthquake, but also correlating data on it with its effects on the churches
Recent earthquakes showed that the vulnerability of some RC buildings with masonry infill walls is high when subjected to seismic actions. During the design practice, the infills are commonly treated as non-structural elements, despite their recognised contribution to the structural response of the buildings. The safety assessment of this type of buildings is important and any detailed information is essential, since such information is needed for estimation of the losses that future earthquakes are likely to induce. The present study focuses on the observation and analysis of architectural and structural design drawings of 80 buildings that represent common RC buildings with masonry infill walls located in Portugal. The data were analysed with the purpose of estimating geometric properties of the masonry infill panels confined by RC frames. Fourteen-hundred masonry infill walls were observed and were divided in to different types according to the different dispositions of the openings. Several measurements were performed in order to have deeper knowledge about the percentage of openings that exist in masonry infill walls and consequently in the building's façade. Infill panels' dimensions were also determined and other parameters related to the general characteristics of the buildings and the structural elements were also analysed. Parameters such as beams' and columns' dimensions and reinforcement details or slab thickness were also analysed. The collected data are utilized to derive probabilistic distributions, whose goodness-of-fit are partially verified with a statistical test. The results from this study can be used in structural modelling development of nonlinear models for masonry infill panels or computation of fragility models. In addition, the statistical parameters such as mean values, standard deviations, probability density functions and their goodness-of-fit have also been investigated for all the entire parameters.
Summary The disruption of a transportation network can have a high social and economic impact on the welfare of a society, as it can significantly affect the daily routines of a community. Although many studies have focused on the estimation of physical risk in the components that compose these networks, only a limited number have analyzed their interconnections and impact in the traffic flow. The present study analyzes how earthquake damage can disrupt the road network in an urban environment, and how this will influence the ability of the population to travel. Traffic due to daily commutes is modeled for different layouts of the network, corresponding to possible disruptions caused by earthquake damage. The duration and length of each trip were calculated both for the undamaged network conditions and for the disrupted network. The increase in the median duration and length of each trip allows estimating the economic loss for each event due to drivers' delay. By combining the probability of a specific road being blocked with its number of users, the average number of affected vehicles was estimated, and the most critical segments identified. The methodology was applied to a case study concerning the road network of the area around the Italian city of Messina in Sicily. The results were calculated for both a repetition of the well‐known historical event of 1908 and a set of simulated earthquakes consistent with the national probabilistic seismic hazard model of Italy.
Gastric carcinoma (GC) represents the most common cause of death in patients with common variable immunodeficiency (CVID). However, a limited number of cases have been characterised so far. In this study, we analysed the clinical features, bacterial/viral infections, detailed morphology and immune microenvironment of nine CVID patients with GC. The study of the immune microenvironment included automated digital counts of CD20+, CD4+, CD8+, FOXP3+, GATA3+ and CD138+ immune cells, as well as the evaluation of PD-L1 expression. Twenty-one GCs from non-CVID patients were used as a control group. GC in CVID patients was diagnosed mostly at early-stage (n = 6/9; 66.7%) and at younger age (median-age: 43y), when compared to non-CVID patients (p < 0.001). GC pathogenesis was closely related to Helicobacter pylori infection (n = 8/9; 88.9%), but not to Epstein-Barr virus (0.0%) or cytomegalovirus infection (0.0%). Non-neoplastic mucosa (non-NM) in CVID-patients displayed prominent lymphocytic gastritis (100%) and a dysfunctional immune microenvironment, characterised by higher rates of CD4+/CD8+/Foxp3+/GATA3+/PD-L1+ immune cells and the expected paucity of CD20+ B-lymphocytes and CD138+ plasma cells, when compared to non-CVID patients (p < 0.05). Changes in the immune microenvironment between non-NM and GC were not equivalent in CVID and non-CVID patients, reflecting the relevance of immune dysfunction for gastric carcinogenesis and GC progression in the CVID population.
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