Modulational instability, solitons and beam propagation in spatially nonlocal nonlinear media

We present an overview of recent advances in the understanding of optical beams in nonlinear media with a spatially nonlocal nonlinear response. We discuss the impact of nonlocality on the modulational instability of plane waves, the collapse of finite-size beams, and the formation and interaction of spatial solitons.Comment: Review article, will be published in Journal of Optics B, special issue on Optical Solitons, 6 figure

From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification

<p>Abstract</p> <p>Background</p> <p>Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limited resolution for discrimination of bacteria at the species level. In this paper, we approach the species classification problem from a taxonomic point of view. Such a taxonomy or tree is typically obtained by applying clustering algorithms on FAME data or on 16S rRNA gene data. The knowledge gained from the tree can then be used to evaluate FAME-based classifiers, resulting in a novel framework for bacterial species classification.</p> <p>Results</p> <p>In view of learning in a taxonomic framework, we consider two types of trees. First, a FAME tree is constructed with a supervised divisive clustering algorithm. Subsequently, based on 16S rRNA gene sequence analysis, phylogenetic trees are inferred by the NJ and UPGMA methods. In this second approach, the species classification problem is based on the combination of two different types of data. Herein, 16S rRNA gene sequence data is used for phylogenetic tree inference and the corresponding binary tree splits are learned based on FAME data. We call this learning approach 'phylogenetic learning'. Supervised Random Forest models are developed to train the classification tasks in a stratified cross-validation setting. In this way, better classification results are obtained for species that are typically hard to distinguish by a single or flat multi-class classification model.</p> <p>Conclusions</p> <p>FAME-based bacterial species classification is successfully evaluated in a taxonomic framework. Although the proposed approach does not improve the overall accuracy compared to flat multi-class classification, it has some distinct advantages. First, it has better capabilities for distinguishing species on which flat multi-class classification fails. Secondly, the hierarchical classification structure allows to easily evaluate and visualize the resolution of FAME data for the discrimination of bacterial species. Summarized, by phylogenetic learning we are able to situate and evaluate FAME-based bacterial species classification in a more informative context.</p

Implementation study of an intermediate medication review in Belgian community pharmacies

© 2018 Background: The Association of Pharmacists in Belgium (APB) and local pharmacy associations launched a pilot project in collaboration with research teams from three Belgian universities to study the impact and implementation-related issues of a medication review (MR) service type 2a in Belgian community pharmacies. Objective: The aim of this paper is to describe the implementation process of the MR service and to present the implementation evaluation of the pilot study (testing stage). Methods: The pilot project was a prospective observational study using mixed methods. The implementation evaluation was based on the RE-AIM model and the framework for the implementation of services in pharmacy (FISpH). Collected implementation outcomes were classified into four dimensions: reach, adoption, implementation and intent of maintenance. Results: During the testing stage, 80 pharmacies participated in the study, but 25 dropped out (31%), mainly because of a reported lack of time (adoption). The 55 remaining pharmacies included 457 patients. Recruiting patients into the service was challenging for pharmacists as 48.5% of patients refused the pharmacists’ proposal (reach). Internal organizational factors were major barriers for pharmacists, followed by the lack of adoption by the pharmacy team. Large pharmacies in which pharmacy owner led the project were observed to be more proactive in implementing the MR service by integrating organizational strategies to assist the implementation process (implementation). Interviewed pharmacists perceived this new service as a professionally satisfying activity. Among participating pharmacists, 92.5% found this service feasible in practice, but believed it required adapted resources to reorganize the internal pharmacy workload, additional support, such as broad-based media campaigns to increase physicians’ and patients’ awareness and attitudes towards the service, and modified software (maintenance). Conclusions: The medication review service was implemented in 68% of participating pilot Belgian community pharmacies but would require adapted resources and supports for larger scale implementation