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14 results for “Customisation”
Customised pre-built Sector-coupled Euro-Calliope Model - Focus on the power sector and additional SPORES options
<p><strong>Customised pre-built Sector-coupled Euro-Calliope Model - Focus on the power sector and additional SPORES options</strong></p> <p><em>Based on the <a href="https://zenodo.org/record/5774988#.YqwqYDJByUk">pre-built Sector-coupled Euro-Calliope model</a> developed by Bryn Pickering</em></p> <p>This model is pre-packaged and ready to be loaded into Calliope, based on 2015 input data. To run the model as done in the associated publication you will need to do the following:</p> <ol> <li>Install a specific conda environment to be working with the correct version of Calliope ( <code>conda env create -f requirements.yml</code> )</li> <li>Run the model including only those scenarios that relate to the power sector and SPORES</li> </ol> <p> </p> <p><strong>Main and parallel batches of SPORES</strong></p> <p>To facilitate this second point and the reproduction of results, you'll find some pre-packaged python script with all and only those model scenarios that allow you to run either the "main batch" of SPORES (<code>spores_model_run.py</code>) or any of the "parallel batches" of SPORES (e.g., <code>excl_bio</code> and <code>max_bio</code>, which generate SPORES while minimising and, respectively, maximising bioenergy deployment).</p> <p> </p> <p><strong>Strength of the anchoring to extremes of the decision space</strong></p> <p>To tweak the strength of the anchoring to a specific technology feature, as we do in the paper, you need to modify the <code>euro_calliope/spores.yaml</code> override file. More precisely, you need to change the <code>excl_score</code> parameter in the objective function at the end of the file:</p> <pre><code class="language-bash">max_mode.run.spores_options.objective_cost_class: {'spores_score': 1, 'monetary': 0, 'excl_score': -1} excl_mode.run.spores_options.objective_cost_class: {'spores_score': 1, 'monetary': 0, 'excl_score': 1}</code></pre> <p>A value of 1 (for maximisation) or -1 (for minimisation) is the default by which we generate the primary results in the paper. By changing it to 0.1, you can reproduce as well the secondary results that we use as a sensitivity for a "weaker anchoring" to extreme technology features of the decision space.</p> <p><br> <strong>Weight-assignment method</strong></p> <p>Finally, to change the weight-assignment method, you need to modify the <code>euro_calliope/eurospores/model.yaml</code> file. More precisely, the <code>scoring_method</code> parameter, which can be one of the following: <code>integer</code>, <code>relative_deployment</code>, <code>random</code> or <code>evolving_average</code>.</p> <pre><code class="language-bash">run.spores_options.scoring_method: integer</code></pre> <p> </p> <p><strong>Hard-coded changes to be aware of</strong></p> <p>The files in this model theoretically allow accounting for all energy sectors (power, heat, transport, industry). Yet, we subset the analysis in the associated publication to only the power sector. To this end, we have modified the original electricity demand file (<code>euro_calliope/eurospores/electricity-demand.csv</code>).</p> <p>In fact, the original file did not account for the fraction of electricity associated with heat, transport or industry consumption, which was instead allocated to sector-specific demand files. In such a way, the model was free to decide whether to electrify these sectoral demands or not. In the present study, instead, we wanted to run our analysis based on the current electricity demand, inclusive of the currently electrified sector-specific demand. Therefore, we have replaced the original file with a new one that includes the present-day electricity demand, with no subtractions.</p> <p>If you want to run the analysis for all sectors, unlike we do in the study, you'll first need to recover the original file. You'll quickly find it in the same folder, named as <code>__electricity-demand.csv</code>.</p> <p><br> <strong>Summary of results from the paper</strong></p> <p>The folder <code>paper_summary_results</code> features some CSV files that summarise the results we obtained for our study across all the different tested search strategies.</p>
The second data release from the European Pulsar Timing Array II. Customised pulsar noise models for spatially correlated gravitational waves
<p>Aims: The nanohertz gravitational wave background (GWB) is expected to be an aggregate signal of an ensemble of gravitational waves emitted predominantly by a large population of coalescing supermassive black hole binaries in the centres of merging galaxies. Pulsar tiNanohertz ming arrays (PTAs), which are ensembles of extremely stable pulsars at approximately kiloparsec distances precisely monitored for decades, are the most precise experiments capable of detecting this background. However, the subtle imprints that the GWB induces on pulsar timing data are obscured by many sources of noise that occur on various timescales. These must be carefully modelled and mitigated to increase the sensitivity to the background signal. Methods: In this paper, we present a novel technique to estimate the optimal number of frequency coefficients for modelling achromatic and chromatic noise, while selecting the preferred set of noise models to use for each pulsar. We also incorporated a new model to fit for scattering variations in the Bayesian pulsar timing package temponest. These customised noise models enable a more robust characterisation of single-pulsar noise. We developed a software package based on tempo2 to create realistic simulations of European Pulsar Timing Array (EPTA) datasets that allowed us to test the efficacy of our noise modelling algorithms. Results: Using these techniques, we present an in-depth analysis of the noise properties of 25 millisecond pulsars (MSPs) that form the second data release (DR2) of the EPTA and investigate the effect of incorporating low-frequency data from the Indian Pulsar Timing Array collaboration for a common sample of ten MSPs. We used two packages, enterprise and temponest, to estimate our noise models and compare them with those reported using EPTA DR1. We find that, while in some pulsars we can successfully disentangle chromatic from achromatic noise owing to the wider frequency coverage in DR2, in others the noise models evolve in a much more complicated way. We also find evidence of long-term scattering variations in PSR J1600-3053. Through our simulations, we identify intrinsic biases in our current noise analysis techniques and discuss their effect on GWB searches. The analysis and results discussed in this article directly help to improve the sensitivity to the GWB signal and they are already being used as part of global PTA efforts.</p>
Supplementary material 1 from: Murphy CA, Gerth W, Neal T, Arismendi I (2022) A low-cost, durable, submersible light trap and customisable LED design for pelagic deployment and capture of fish parasite Salmincola sp. copepodids. NeoBiota 73: 1-17. https://doi.org/10.3897/neobiota.73.76515
Supplementary material for a low-cost, durable, submersible light trap and customizable LED design for pelagic deployment and capture of fish parasite Salmincola sp. copepodids
Open source and open hardware: developing tools that are accessible and customisable
<p><strong>The following video describes how ROMI uses open source hardware to support communities through customisation and adaptation. Funded by EU Grant 773875.</strong></p> <p><em>Videos are available in:</em></p> <ul> <li>Hi-res (1080p Apple ProRes)</li> <li>Mid-res (1080p H265)</li> </ul> <p><strong>Video script:</strong></p> <p>(MINCHIN) A key aspect and component of the ROMI project is that it should be open source so there is no proprietary software there's no ownership over the designs in fact it's created to be hacked customised and adapted to any farm.<br> <br> (HANAPPE) One of the aspects of the ROMI project is open hardware and we started from scratch like buying a motor buying a motor-controller programming the motor controller and which is maybe different than many of the projects you might see more industrial projects who might rely more on say high-end standard components from from the industry but i think there's a real advantage in trying to build everything up is that first you understand everything you can explain everything you can fix anything you can you know document anything for you know DIY farmers that they you know if they want to replace one motor with another and understanding that all allows you to quickly experiment stuff without having to depend on someone else who's working with say a closed source component and it allows you to be quite reactive and of course in the end allows you to be fairly cost effective.<br> <br> (BAORI) One of the things we set out to do with this project was to make it accessible and the idea is that at the end of the project everything will be open source so from the frame to the software the designs the cad everything will be open source so if you're a maker if you're somebody who is an engineer and wants to build one of these robots yourself you'll be able to download everything including the software to be able to make it run and because we wanted it to be accessible we started out with one thought that was everything that we put into this rover should also be accessible.<br> <br> (CAMPRODON) So we are trying to bring that philosophy that is embedded within Fab Labs slash (/) maker movement at large the open hardware movement, of how you design for distributed manufacturing. Which means that you take design decisions on the way that you build things which are meant for others replicated in new laboratories using new machines and you do that on top of a network such as a Fab Lab network which is a robust yet heterogeneous.<br> <br> (BARBERAN) It seems like someone tinkered with it. The idea when we design this is to constrain ourselves to do it in a way that anyone else can build it easily. So we try to keep the type and the complexity of the tools we use as small and simple as we can, so we use 3d printers that today are really accessible, we use CNC machines that's maybe the the most complex machine we use but it was it was needed because we need to build something that can stand the weather in a harsh environment in a farm. So we use aluminium and plastic and the rest of the components are mostly commercial components so the the process of designing it is a common go between the computer and the farm and the fab lab we tried here with the cable on the office to hang the first versions of the of the cable bot then we come back to redesign the pieces and then we adjust the sizes of the pulleys and the springs and then we do another model. And so this ability to reiterate so fast is also provided by the simplicity of the tools we use. Using a really simple 3d printer to build a robot is allows you to do in one month several versions and iterations of the same robot.<br> <br> (HANAPPE) In the end our goal is sustainability it's not technology, and what is the best way for whatever we build to have an impact on on say farmers in Europe or wider, and if if what we do is good then we would like them to have access to these tools, and there's some sort of a confidence that then there will be some financing flowing back to us.<br> <br> (MINCHIN) When we open source this knowledge and these tools it allows for an abundance of researchers of practitioners to come together to find the solutions, we don't have to depend on a small development team so the the library of tools that are developed are really a public library for others to to use and to adapt.<br> <br> (BARBERAN) At the end I think the the most important part that we don't even realise because we just do it because we are on the on the inertia of doing it is that we are setting rocks for the future. At the end we are not making right now the the the best robot the best tool what we are doing is setting ground to build on the future the best robot and the best thing built by people not by us because we don't we are not farmers we are not going to design the best robot and we are not a big company with resources as crazy to to make the ultra high-tech thing. But we are able to do something to share with people and a lot of heads think better than a couple of heads you know. The the model that that linux a lot of people in the linux community use is we are dumber than them but we are hundreds of thousands. Hundreds of thousands of heads think better than 10 heads so being able to share that knowledge and to include people in in the development of their own tools i think is the best part on a mid and long term way of seeing this.</p>
Culturally Customised Maternal Nutrition Education for Health Professionals
ClinicalTrials.gov study NCT07070206. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Prevention of Disability in the Frail Elderly Person Through an Innovative Customised and Multidimensional Training Programme
ClinicalTrials.gov study NCT06377436. IPD Sharing: NO. Countries: 1. Publications: 11.
Customised Mouthguards on Baseball and Softball Performance
ClinicalTrials.gov study NCT06840340. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of a Customised Lifestyle Medicine Strategy on Lowering Blood Lipid Levels in Indian Physicians
ClinicalTrials.gov study NCT06420817. IPD Sharing: Not stated. Countries: 1. Publications: 38.
Effectiveness of Customised 3D-printed Insoles in Reducing Pain Among Frequent Park Runners
ClinicalTrials.gov study NCT06034210. IPD Sharing: NO. Countries: 1. Publications: 1.
Optimal Precision TherapIes to CustoMISE Care in Childhood and Adolescent Cancer
ClinicalTrials.gov study NCT06208657. IPD Sharing: YES. Countries: 2. Publications: 0.
DLBCL Interim Response Evaluation for Customised Therapy
ClinicalTrials.gov study NCT04226937. IPD Sharing: NO. Countries: 1. Publications: 0.
User Satisfaction of Customised 3D Printed Ankle-Foot Orthosis in Comparison to Thermoformed Ankle-Foot Orthosis for Patients With Neurological Conditions: A Preliminary Study
ClinicalTrials.gov study NCT05122949. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Utility of Customised Growth Charts for Identifying Macrosomia and the Effect of Intervention
ClinicalTrials.gov study NCT04536753. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Customised dynamic bioreactor system enables the production of radially aligned 3D diaphragmatic muscle constructs promoting ECM remodelling and inhibiting fibroblasts overgrowth.
GEO Series GSE180636. Homo sapiens. 12 samples. Type: Expression profiling by array.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.