Zoekresultaten

Blockchain-based Common Data Environments to Address Data and Information Fragmentation in The Dutch Construction Industry

In the Dutch construction industry, the demand for advanced information storage and sharing is growing due to the complexity of construction projects. Limitations of traditional methods include lack of transparency and inefficient communication. Blockchain offers a promising solution by enabling decentralized storage and immutable recording of data increasing transparency and efficiency in the construction supply chain. Combining a Common Data Environment with the InterPlanetary File System – decentralized file storage and exchange, and a powerful tool for secure, efficient and reliable data management in construction – can emerge to improve cooperation between parties increasing effectiveness of projects.

Making (common) sense of Urban Digital Twins with Q methodology.

Digital Urban Brabant: Making (common) sense of urban digital twins.

Pain catastrophizing predicts dropout of patients from an interdisciplinary chronic pain management programme: a prospective cohort study

Objective: To explore predictors of dropout of patients with chronic musculoskeletal pain from an interdisciplinary chronic pain management programme, and to develop and validate a multivariable prediction model, based on the Extended Common- Sense Model of Self-Regulation (E-CSM). Methods: In this prospective cohort study consecutive patients with chronic pain were recruited and followed up (July 2013 to May 2015). Possible associations between predictors and dropout were explored by univariate logistic regression analyses. Subsequently, multiple logistic regression analyses were executed to determine the model that best predicted dropout. Results: Of 188 patients who initiated treatment, 35 (19%) were classified as dropouts. The mean age of the dropout group was 47.9 years (standard deviation 9.9). Based on the univariate logistic regression analyses 7 predictors of the 18 potential predictors for dropout were eligible for entry into the multiple logistic regression analyses. Finally, only pain catastrophizing was identified as a significant predictor. Conclusion: Patients with chronic pain who catastrophize were more prone to dropout from this chronic pain management programme. However, due to the exploratory nature of this study no firm conclusions can be drawn about the predictive value of the E-CSM of Self-Regulation for dropout.

Understanding the Governing of Urban Commons

Urban commons is presented as a challenge of collaborative governance. This study delivers a normative perspective to analyse and evaluate processes and outcomes of the governance of urban commons. It demonstrates the development and application of the perspective in action research on Amsterdam’s Zero Waste Lab case, as a way to better understand successful and failing institutions in a concrete practice and to design interventions for improvement. Consequently, the (im)plausibility of collective action in urban communities and the participation of public actors present dilemmas for urban commons. The study specifically synthesises urban commons and collaborative governance scholarship and relates also in general to the transition towards co-creation in governing the city, e.g. in public administration or planning.

Toward live domain-specific languages

Live programming is a style of development characterized by incremental change and immediate feedback. Instead of long edit-compile cycles, developers modify a running program by changing its source code, receiving immediate feedback as it instantly adapts in response. In this paper, we propose an approach to bridge the gap between running programs and textual domain-specific languages (DSLs). The first step of our approach consists of applying a novel model differencing algorithm, tmdiff, to the textual DSL code. By leveraging ordinary text differencing and origin tracking, tmdiff produces deltas defined in terms of the metamodel of a language. In the second step of our approach, the model deltas are applied at run time to update a running system, without having to restart it. Since the model deltas are derived from the static source code of the program, they are unaware of any run-time state maintained during model execution. We therefore propose a generic, dynamic patch architecture, rmpatch, which can be customized to cater for domain-specific state migration. We illustrate rmpatch in a case study of a live programming environment for a simple DSL implemented in Rascal for simultaneously defining and executing state machines.