Suchergebnisse

Purpose This article provides within-group effect size benchmarks for RCTs of group-based Acceptance and Commitment Therapy (ACT) for adults with anxiety and/or depression. Methods A systematic literature search of RCTs of the group-based ACT intervention was conducted following PRISMA guidelines. Articles were selected based on predetermined eligibility criteria. Pre/post within-group effect sizes were calculated using the Glass approach, adjusted using Hedges g, and aggregated to produce separate benchmarks for symptoms of depression and anxiety for ACT and the comparison/control group(s). Results Results indicate that the average within-group pre/post effect sizes for the group-based ACT intervention is .59 (95% CI 0.37–0.81) for anxiety and .73 (95% CI 0.56–0.89) for depression. Discussion These benchmarks may be used by social workers to evaluate the effectiveness of their group-based ACT intervention and to guide clinical decision making.

We obtain the almost sure central limit theorem (ASCLT) of sample quantiles. Furthermore, based on the method, the ASCLT of order statistics is also proved.

Although plastic is considered an indispensable commodity, plastic pollution is a major concern around the world due to its rapid accumulation rate, complexity, and lack of management. Some political policies, such as the Chinese import ban on plastic waste, force us to think about a long-term solution to eliminate plastic wastes. Converting waste plastics into liquid and gaseous fuels is considered a promising technique to eliminate the harm to the environment and decrease the dependence on fossil fuels, and recycling waste plastic by converting it into monomers is another effective solution to the plastic pollution problem. This paper presents the critical situation of plastic pollution, various methods of plastic depolymerization based on different kinds of polymers defined in the Society of the Plastics Industry (SPI) Resin Identification Coding System, and the opportunities and challenges in the future.

PurposeValue creation in engineering projects has received considerable research attention. However, buyers' expectations regarding project value do not always translate into the actions of project team members (actors). Drawing upon resource orchestration theory to explore the micro-foundations of project value creation (PVC), we investigate how suppliers organize project team members to create project value that meets buyers' expectations.Design/methodology/approachWe adopted two instructive engineering projects as comparative cases to analyze patterns in actor interactions in PVC.FindingsThe results reveal "social interaction-based value creation" and "structural interaction-based value creation," which explain the PVC process from the collective-level buyer's expectations and supplier's value orientation, to individual-level actor interactions (mobilizing, connecting, and networking), knowledge orchestration activities (structuring, bundling, and leveraging), and finally the value creation process (identifying, configuring, and generating) in project teams to generate collective-level project benefits and values.Originality/valueWe propose a macro-approach to micro-foundations, with a focus on the buyer-expected PVC process on the supplier side. Furthermore, we explain how suppliers organize individual actions and orchestrate the individual knowledge through two patterns of individual-level actor interactions for collective-level PVC.

Abstract. Flow-like landslides, such as
flow slides and debris avalanches, have caused serious infrastructure damage
and casualties for centuries. Effective numerical simulation incorporating
accurate soil mechanical parameters is essential for predicting post-failure
landslide mobility. In this study, smoothed particle hydrodynamics (SPH)
incorporating soil ring shear test results were used to forecast the
long-runout mobility for a landslide on an unstable slope in China. First, a
series of ring shear tests under different axial stresses and shear
velocities were conducted to evaluate the residual shear strength of slip
zones after extensive shear deformation. Based on the ring shear test
results, SPH modeling was conducted to predict the post-failure mobility of a
previously identified unstable slope. The results indicate that the landslide
would cut a fire service road on the slope after 12 s and cover an expressway at the
foot of that slope after 36 s. In the model, the landslide would finally
stop sliding about 38 m beyond the foot of the slope after 200 s. This
study extends the application of the SPH model from disaster simulations to
predictive analysis of unstable landslide. In addition, two sets of
comparative calculations were carried out which demonstrate the robustness of
the SPH method.