Bescherming bronnen voor drinkwater : De rol van drinkwaterbedrijven

VROM-Inspecti

comparative study of the legislative processes in Finland, Slovenia and the United Kingdom as a source of inspiration for enhancing the efficiency of the Dutch legislative process

The main research question of the current study is when whether the efficiency of the Dutch legislative procedure for parliamentary acts indeed constitutes a problem, in particular if compared to the achievements of legislative processes in several other European countries and, if that turns out to be the case, whether lessons can be learned from those legislative processes and practices abroad with respect to pace and duration of the legislative process, phases and actors, transparency and the role of ICT. CONTENT: 1. Introduction 2. The selection of countries 3. Finland 4. Slovenia 5. United Kingdom 6. In comparison 7. Conclusio

Regulating Political Parties : European Democracies in Comparative Perspective

Regulating Political Parties provides a novel and valuable contribution to the existing literature on political parties by discussing the various dimensions of party law and regulation, in Europe and other regions of the world. To what extent are political parties legitimate objects of state regulation? What are the dilemmas of regulating political finance? To what extent are parties accorded a formal constitutional status? What are the consequences of legal bans on political parties? How do legal arrangements affect parties representing ethnic minorities? These and related questions are discussed and examined from both theoretical and empirical perspectives. By bringing together international experts from the disciplines of law and political science, this volume thus addresses from an interdisciplinary and comparative point of view what has long been a notable lacuna in the study of political parties.9789400601956 (epdf); 9789400601963 (epub)Wetensch. publicati

Legislative Processes in Transition. Comparative Study of the Legislative Processes in Finland, Slovenia and the United Kingdom as a Source of Inspiration for Enhancing the Efficiency of the Dutch Legislative Process

Effective Protection of Fundamental Rights in a pluralist worl

MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international study.

Background: Diffuse intrinsic pontine gliomas (DIPGs) are lethal pediatric brain tumors. Presently, MRI is the mainstay of disease diagnosis and surveillance. We identify clinically significant computational features from MRI and create a prognostic machine learning model. Methods: We isolated tumor volumes of T1-post-contrast (T1) and T2-weighted (T2) MRIs from 177 treatment-naïve DIPG patients from an international cohort for model training and testing. The Quantitative Image Feature Pipeline and PyRadiomics was used for feature extraction. Ten-fold cross-validation of least absolute shrinkage and selection operator Cox regression selected optimal features to predict overall survival in the training dataset and tested in the independent testing dataset. We analyzed model performance using clinical variables (age at diagnosis and sex) only, radiomics only, and radiomics plus clinical variables. Results: All selected features were intensity and texture-based on the wavelet-filtered images (3 T1 gray-level co-occurrence matrix (GLCM) texture features, T2 GLCM texture feature, and T2 first-order mean). This multivariable Cox model demonstrated a concordance of 0.68 (95% CI: 0.61-0.74) in the training dataset, significantly outperforming the clinical-only model (C = 0.57 [95% CI: 0.49-0.64]). Adding clinical features to radiomics slightly improved performance (C = 0.70 [95% CI: 0.64-0.77]). The combined radiomics and clinical model was validated in the independent testing dataset (C = 0.59 [95% CI: 0.51-0.67], Noether's test P = .02). Conclusions: In this international study, we demonstrate the use of radiomic signatures to create a machine learning model for DIPG prognostication. Standardized, quantitative approaches that objectively measure DIPG changes, including computational MRI evaluation, could offer new approaches to assessing tumor phenotype and serve a future role for optimizing clinical trial eligibility and tumor surveillance