Response to McGirr et al.'s Comment on "Clinical and Economic Impact of a Potential Switch from 13-Valent to 10-Valent Pneumococcal Conjugate Infant Vaccination in Canada"

Full copyright for enhanced digital features is owned by Pfizer inc. Article full text The full text of this article can be found here. Provide enhanced digital features for this article If you are an author of this publication and would like to provide additional enhanced digital features for your article then please contact [email protected]. The journal offers a range of additional features designed to increase visibility and readership. All features will be thoroughly peer reviewed to ensure the content is of the highest scientific standard and all features are marked as ‘peer reviewed’ to ensure readers are aware that the content has been reviewed to the same level as the articles they are being presented alongside. Moreover, all sponsorship and disclosure information is included to provide complete transparency and adherence to good publication practices. This ensures that however the content is reached the reader has a full understanding of its origin. No fees are charged for hosting additional open access content. Other enhanced features include, but are not limited to: • Slide decks • Videos and animations • Audio abstracts • Audio slides </p

Geppetto: a reusable modular open platform for exploring neuroscience data and models

Geppetto is an open-source platform that provides generic middleware infrastructure for building both online and desktop tools for visualizing neuroscience models and data and managing simulations. Geppetto underpins a number of neuroscience applications, including Open Source Brain (OSB), Virtual Fly Brain (VFB), NEURON-UI and NetPyNE-UI. OSB is used by researchers to create and visualize computational neuroscience models described in NeuroML and simulate them through the browser. VFB is the reference hub for Drosophila melanogaster neural anatomy and imaging data including neuropil, segmented neurons, microscopy stacks and gene expression pattern data. Geppetto is also being used to build a new user interface for NEURON, a widely used neuronal simulation environment, and for NetPyNE, a Python package for network modelling using NEURON. Geppetto defines domain agnostic abstractions used by all these applications to represent their models and data and offers a set of modules and components to integrate, visualize and control simulations in a highly accessible way. The platform comprises a backend which can connect to external data sources, model repositories and simulators together with a highly customizable frontend.This article is part of a discussion meeting issue 'Connectome to behaviour: modelling C. elegans at cellular resolution'

NeuroML/org.neuroml.model: v1.9.1

What's Changed Formatting by @pgleeson in https://github.com/NeuroML/org.neuroml.model/pull/31 Update to java 17 for javadoc generation by @pgleeson in https://github.com/NeuroML/org.neuroml.model/pull/33 Test on java 19 by @pgleeson in https://github.com/NeuroML/org.neuroml.model/pull/34 bump schema version to 2.3 by @pgleeson in https://github.com/NeuroML/org.neuroml.model/pull/36 feat: bump schema version to 2.3 by @sanjayankur31 in https://github.com/NeuroML/org.neuroml.model/pull/35 More verbose error messages in validator by @pgleeson in https://github.com/NeuroML/org.neuroml.model/pull/38 To v1.9.1 by @pgleeson in https://github.com/NeuroML/org.neuroml.model/pull/39 Updates for v2.3 by @pgleeson in https://github.com/NeuroML/org.neuroml.model/pull/37 New Contributors @sanjayankur31 made their first contribution in https://github.com/NeuroML/org.neuroml.model/pull/35 Full Changelog: https://github.com/NeuroML/org.neuroml.model/compare/v1.8.1...v1.9.

Legislative Documents

Also, variously referred to as: House bills; House documents; House legislative documents; legislative documents; General Court documents

Introduction to Scientific Python and SunPy

<p>Originally written by Florian Mayer, this talk introduces Python for a scientific audience and the SunPy project.</p

Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits

International audienceComputational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven models of neural circuits that span multiple scales are increasingly being used to understand brain function in health and disease. But their adoption and reuse has been limited by the specialist knowledge required to evaluate and use them. To address this, we have developed Open Source Brain, a platform for sharing, viewing, analyzing, and simulating standardized models from different brain regions and species. Model structure and parameters can be automatically visualized and their dynamical properties explored through browser-based simulations. Infrastructure and tools for collaborative interaction, development, and testing are also provided. We demonstrate how existing components can be reused by constructing new models of inhibition-stabilized cortical networks that match recent experimental results. These features of Open Source Brain improve the accessibility, transparency, and reproducibility of models and facilitate their reuse by the wider community

sunpy/sunpy: RC2 of v0.8.0

Extra doc changes between RC1 and RC2