306 research outputs found
De werkvloer van een Kennisnetwerk Vitaal Platteland; Kennis maken met regionale kennisarrangementen
Op welke wijze kan het samen leren doen bij gebiedsontwikkeling worden ondersteund en wat kan een landelijk kennisnetwerk vitaal platteland daaraan toevoegen? Dit was het vertrekpunt voor een aantal werkbezoeken van de werkgroep kennisnetwerk vitaal platteland aan enkele regionale kennisarrangementen als onderdeel van een gezamenlijk leertraject. Dit verslag presenteert de bevindingen en komt met aanbevelingen voor een kennisnetwerk vitaal in wording. What support can be provided to joint learning in area development and what can a national knowledge network for a vital countryside add? This was the starting point for visits to various regional knowledge arrangements by the work group involved in the knowledge network for a vital countryside project as part of a joint learning programme. This report presents the findings and presents recommendations for a vital knowledge network for a vital countryside in the making
Формалізація основних принципів взаємодії інвестора (кредитора) та позичальника (господарюючого суб’єкта)
Здійснено аналіз питань пов’язаних з організацією раціонального інвестування як з точки зору позичальника (господарюючого суб’єкта) так і з точки зору інвестора (кредитора). Проблему узгодження інтересів інвестора та позичальника сформульовано як багатокритеріальну задачу математичного програмування. Запропонована формалізація взаємодії господарюючого суб’єкта та інвестора за допомогою дослідження дискретного Марковського процесу, стани якого задаються вектором інтегральних показників діяльності кредитора та позичальника.This work comprises the rational investment organizationrelated issues analysis from the borrower’s (managing entity), as well as from the investor’s (creditor’s) point of view. The borrower and investor’s interests’ coordination issue is formulated as a mathematical programming multicriterion problem. The borrower and investor cooperation formalization with help of discreet Markov’s process study is introduced. The Markov’s process’ states are determined by the investor and borrower’s integral activities’ rates vector
Citizen engagement in spatial planning, shaping places together
This paper explores the roles and practices of collective citizen engagement in spatial planning. Drawing on a selection of core articles in planning scholarship, it investigates how citizens (re-)shape urban places by responding to perceived flaws in how spatial planning addresses societal challenges. Formal planning interventions are often spatially and socially selective, ineffective, or even non-existent due to a lack of institutional capacities and resources. Consequently, citizens take on roles that they consider as missing, underperformed or ineffective. The paper shows that this results in a variety of practices complementary to, independent from, or opposing formal planning actors and interventions. Five dilemmas citizens face are identified, highlighting the tensions that surface on exclusion, participation, and governmental responsibilities when citizens claim their role in urban governance
What is the effect of spatial proximity on research collaboration in a small country? A gravity model for co-authored publications
In this study we fit a gravity model for knowledge production, where the number of co-authored publications is explained by the size of the affiliated organisations and the physical distance between them. We analyse 2247 publications on drinking water and wastewater in the period 2006-2008 with at least one author affiliation in the Netherlands. At this small spatial level we find a robust and significant effect in the expected direction: the larger the distance between two organisations, the less publications they co-author together. We extend the model and show that organisations of the same type (academia, governmental bodies, etc.) also collaborate more
Analysis of specifications of multiparty sessions with dcj-lint
Multiparty session types constitute a method to automatically detect violations of protocol implementations relative to specifications. But, when a violation is detected, does it symptomise a bug in the implementation or in the specification? This paper presents dcj-lint: an analysis tool to detect bugs in protocol specifications, based on multiparty session types. By leveraging a custom-built temporal logic model checker, dcj-lint can be used to efficiently perform: (1) generic sanity checks, and (2) protocol-specific property analyses. In our benchmarks, dcj-lint outperforms an existing state-of-the-art model checker (up to 61x faster)
A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the proliferation, immune response and RNA splicing modules in breast cancer.
INTRODUCTION: Several gene expression signatures have been proposed and demonstrated to be predictive of outcome in breast cancer. In the present article we address the following issues: Do these signatures perform similarly? Are there (common) molecular processes reported by these signatures? Can better prognostic predictors be constructed based on these identified molecular processes? METHODS: We performed a comprehensive analysis of the performance of nine gene expression signatures on seven different breast cancer datasets. To better characterize the functional processes associated with these signatures, we enlarged each signature by including all probes with a significant correlation to at least one of the genes in the original signature. The enrichment of functional groups was assessed using four ontology databases. RESULTS: The classification performance of the nine gene expression signatures is very similar in terms of assigning a sample to either a poor outcome group or a good outcome group. Nevertheless the concordance in classification at the sample level is low, with only 50% of the breast cancer samples classified in the same outcome group by all classifiers. The predictive accuracy decreases with the number of poor outcome assignments given to a sample. The best classification performance was obtained for the group of patients with only good outcome assignments. Enrichment analysis of the enlarged signatures revealed 11 functional modules with prognostic ability. The combination of the RNA-splicing and immune modules resulted in a classifier with high prognostic performance on an independent validation set. CONCLUSIONS: The study revealed that the nine signatures perform similarly but exhibit a large degree of discordance in prognostic group assignment. Functional analyses indicate that proliferation is a common cellular process, but that other functional categories are also enriched and show independent prognostic ability. We provide new evidence of the potentially promising prognostic impact of immunity and RNA-splicing processes in breast cancer.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are
A family-based study into penetrance in facioscapulohumeral muscular dystrophy type 1
Functional Genomics of Muscle, Nerve and Brain Disorder
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