Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity

We study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp PAC-Bayesian risk bounds for aggregates defined via exponential weights, under general assumptions on the distribution of errors and on the functions to aggregate. We then apply these results to derive sparsity oracle inequalities

Regularized fitted Q-iteration: application to planning

We consider planning in a Markovian decision problem, i.e., the problem of finding a good policy given access to a generative model of the environment. We propose to use fitted Q-iteration with penalized (or regularized) least-squares regression as the regression subroutine to address the problem of controlling model-complexity. The algorithm is presented in detail for the case when the function space is a reproducing kernel Hilbert space underlying a user-chosen kernel function. We derive bounds on the quality of the solution and argue that data-dependent penalties can lead to almost optimal performance. A simple example is used to illustrate the benefits of using a penalized procedure

Preliminary quality results regarding S.V.-18402 interspecific hybrid berries processed by multiple techniques to obtain a novel food product

In this study, SV 18402 interspecific hybrid (PIWI group grapevines) was subjected to processing by syruping the berries before boiling. The variants were: V1.1. - grape product from berries without skin – filtered; V1.2. - grape product from berries without skin – unfiltered; V2.1. - grape product from berries with skin– filtered; V2.2. - grape product from berries with skin – unfiltered. Before processing, raw material was assessed for total soluble solids (186 g/l sugar), pH (3.25), and acidity (7.35 g/l tartric acid). The variants of products measure soluble dry substance over 67% the minimum amount stipulated by the international standard, which guarantees the conservability of the product. Regarding sensory comparison, products from the whole berries (skin, pulp, and seeds) proved to be more acceptable by the general public, as compared to the other variants

Graphical modeling of binary data using the LASSO: a simulation study

Background: Graphical models were identified as a promising new approach to modeling high-dimensional clinical data. They provided a probabilistic tool to display, analyze and visualize the net-like dependence structures by drawing a graph describing the conditional dependencies between the variables. Until now, the main focus of research was on building Gaussian graphical models for continuous multivariate data following a multivariate normal distribution. Satisfactory solutions for binary data were missing. We adapted the method of Meinshausen and Buhlmann to binary data and used the LASSO for logistic regression. Objective of this paper was to examine the performance of the Bolasso to the development of graphical models for high dimensional binary data. We hypothesized that the performance of Bolasso is superior to competing LASSO methods to identify graphical models. Methods: We analyzed the Bolasso to derive graphical models in comparison with other LASSO based method. Model performance was assessed in a simulation study with random data generated via symmetric local logistic regression models and Gibbs sampling. Main outcome variables were the Structural Hamming Distance and the Youden Index. We applied the results of the simulation study to a real-life data with functioning data of patients having head and neck cancer. Results: Bootstrap aggregating as incorporated in the Bolasso algorithm greatly improved the performance in higher sample sizes. The number of bootstraps did have minimal impact on performance. Bolasso performed reasonable well with a cutpoint of 0.90 and a small penalty term. Optimal prediction for Bolasso leads to very conservative models in comparison with AIC, BIC or cross-validated optimal penalty terms. Conclusions: Bootstrap aggregating may improve variable selection if the underlying selection process is not too unstable due to small sample size and if one is mainly interested in reducing the false discovery rate. We propose using the Bolasso for graphical modeling in large sample sizes

Interest Groups, NGOs or Civil Society Organisations? The Framing of Non-State Actors in the EU

Scholars have used varying terminology for describing non-state entities seeking to influence public policy or work with the EU’s institutions. This paper argues that the use of this terminology is not and should not be random, as different ‘frames’ come with different normative visions about the role(s) of these entities in EU democracy. A novel bibliometric analysis of 780 academic publications between 1992 and 2020 reveals that three frames stand out: The interest group frame, the NGO frame, as well as the civil society organisation frame; a number of publications also use multiple frames. This article reveals the specific democratic visions contained in these frames, including a pluralist view for interest groups; a governance view for NGOs as ‘third sector’ organisations, and participatory and deliberative democracy contributions for civil society organisations. The use of these frames has dynamically changed over time, with ‘interest groups’ on the rise. The results demonstrate the shifting focus of studies on non-state actors in the EU and consolidation within the sub-field; the original visions of European policy-makers emerging from the 2001 White Paper on governance may only partially come true

Phosphatidylserine Increases IKBKAP Levels in Familial Dysautonomia Cells

Familial Dysautonomia (FD) is an autosomal recessive congenital neuropathy that results from abnormal development and progressive degeneration of the sensory and autonomic nervous system. The mutation observed in almost all FD patients is a point mutation at position 6 of intron 20 of the IKBKAP gene; this gene encodes the IκB kinase complex-associated protein (IKAP). The mutation results in a tissue-specific splicing defect: Exon 20 is skipped, leading to reduced IKAP protein expression. Here we show that phosphatidylserine (PS), an FDA-approved food supplement, increased IKAP mRNA levels in cells derived from FD patients. Long-term treatment with PS led to a significant increase in IKAP protein levels in these cells. A conjugate of PS and an omega-3 fatty acid also increased IKAP mRNA levels. Furthermore, PS treatment released FD cells from cell cycle arrest and up-regulated a significant number of genes involved in cell cycle regulation. Our results suggest that PS has potential for use as a therapeutic agent for FD. Understanding its mechanism of action may reveal the mechanism underlying the FD disease