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285 results for “Computational analysis”
Data and scripts for: Bayesian Phylogenetic Analysis on multi-core Compute Architectures: Implementation and evaluation of BEAGLE in RevBayes with MPI
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Global Sensitivity Analysis is Not Always Beneficial for Evolutionary Computation: A Study in Engineering Design
<p>This Zenodo repository contains all the results generated for the book chapter "Global Sensitivity Analysis is Not Always Beneficial for Evolutionary Computation: A Study in Engineering Design".</p>
Computational linguistics based text emotion analysis using enhanced beetle antenna search with deep learning during COVID-19 pandemic
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Thermal conductivity analysis of polymer-derived nano-composite via image-base structure reconstruction, computational homogenization and machine learning
<p>This dataset includes supplementary data and utilities for validating simulation results and training machine learning models as outlined in the publication titled "Thermal Conductivity Analysis of Polymer-Derived Nanocomposite via Image-Based Structure Reconstruction, Computational Homogenization, and Machine Learning" (<a href="https://doi.org/10.1002/adem.202302021">Fathidoost, 2024</a>).</p> <p>This dataset containes the microstructure images (identified by particle diameters size \(D_1\) and \(D_2\) volume fraction \(V_\mathrm{f}\) and aspect ratio \(A_\mathrm{r}\)) (see Table 1) and their corresponding homogenized thermal conductivity. these images resemble the microstructure of the monolithic \(\mathrm{(Hf,Ta)C/SiC}\) ceramic following FAST sintering, the material system of this work (<a href="https://doi.org/10.1002/adem.202302021">Fathidoost, 2024</a>). White and black colors within the images represent distinct regions of the material system, respectively referring to former powder particles (FPPs) and sinter necks (SNs), which is explained in this work.</p> <p>Table 1. Parameterized descriptors extracted from the mesoscale SEM image analysis</p> <table> <tbody> <tr> <td>Param.</td> <td>Mean [unit]</td> <td>Std.</td> </tr> <tr> <td>\(D_{1}\)</td> <td>40, 50, 60 [μm]</td> <td>20%</td> </tr> <tr> <td>\(D_{2}\)</td> <td>20, 25, 26, 30, 33, 40 [μm]</td> <td>30%</td> </tr> <tr> <td>\(V_\mathrm{f}\)</td> <td>1.5, 2.0</td> <td>-</td> </tr> <tr> <td>\(A_\mathrm{r}\)</td> <td>35, 40, 45, 55, 60 [%]</td> <td>-</td> </tr> </tbody> </table> <p>This dataset contains:</p> <ul> <li><em>dataset.csv: </em>containing a summary of data including the names of microstructure images, their corresponding geometric details, as well as the first and third principal components of two-point statistics for all images, along with the effective thermal conductivity of the corresponding microstructures. Further details can be found in the associated publication.</li> <li><em>microstructures_images.zip</em>: containing binary cross-section images of the RVEs from synthetic microstructures。</li> <li><em>results.zip:</em> contains all the simulation results based on digitized diffuse-interface microstructures, which can be opened by the post-processing software, such as ParaView.</li> </ul>
A Bibliometrics Analysis of Australian Computing Education Conference Proceedings
<p>The bib file includes the bib records of all research publications of Australasian Computing Education Conference prior to 2022.</p>
Comparative analysis of patient-specific aortic dissections through computational fluid dynamics suggests increased likelihood of degeneration in partially thrombosed aorta
<p>Aortic dissection is a life-threatening cardiovascular disease associated with high rates of morbidity and mortality, especially in medically under-served communities. It compromises the hemodynamics of the arteries that originate from the aorta, and its outcomes include visceral ischemia and aortic rupture in the acute phase and aneurysmatic degeneration in the chronic phase. Understanding patients’ blood flow patterns is pivotal for non-invasive evidence-based treatment as they greatly influence both the disease onset and its outcome. In this paper, we combine diagnostic imaging techniques and computational fluid dynamics to analyze the flow patterns of three aorta dissections (fully perfused, partially thrombosed, and fully thrombosed), and compare them to a healthy aorta. Besides flow kinematics, we focus on time averaged wall shear stress and oscillatory shear index that are recognized risk factors for aneurysm and rupture. Our analysis shows that partially thrombosed dissection is the most prone to false lumen degeneration. In all dissections, the arteries connected to the false lumen are generally poorly supplied with blood. Further, both true and false lumens present higher turbulence levels than the healthy aorta, and critical stagnation points. Mesh sensitivity and a thorough comparison against literature data together support the methodology robustness.</p>
Data from: Computed tomographic analysis of dental system of three Jurassic ceratopsians: implications for the evolution of the tooth replacement pattern and diet in early-diverging ceratopsians
<p><span>T</span><span>he </span><span>dental system of ceratops</span><span>ids is among the most specialized structure in Dinosauria</span><span>, and includes high angled wear surfaces, split tooth roots, and multiple teeth in each tooth family. However, the early evolution of this unique dental system is generally poorly understood due to a lack of knowledge of the dental morphology and development in early-diverging ceratopsians.</span><span> Here we study the dental system of </span><span>three</span><span> of the earliest-diverging Chinese ceratopsians</span><span>: </span><em><span>Yinlong</span></em><span> and <em>Hualianceratops</em> from the early Late Jurassic of Xinjiang</span><span>,</span><span> and <em>Chaoyangsaurus</em> from the Late Jurassic of Liaoning. By using micro-computed tomographic analyses, our study has revealed significant new information regarding the dental system of these early ceratopsians, including </span><span>no</span><span> more than five replacement teeth in each jaw quadrant; at most one generation of replacement teeth in each alveolus; nearly full resorption of the functional tooth root during tooth replacement; and occlusion with low-angled, concave wear facets that differs significantly from the shearing occlusal system seen in ceratopsids. <em>Yinlong</em> displays an increase in the number of maxillary tooth alveoli and a decrease in the number of replacement teeth during ontogeny as well as the retention of remnants of functional teeth in the largest individual.</span> <span>Early-diverging ceratopsians thus display a relatively slow tooth replacement rate compared to late-diverging ceratopsians.</span> <span>Combined with paleobotany and palaeoenvironment data, <em>Yinlong</em> likely uses gastroliths to triturate foodstuffs, and t</span><span>he difference in diet strategy might have influenced the pattern of tooth replacement in later-diverging ceratopsians.</span></p>
Research compendium for 'Practical and technical aspects for the 3D scanning of lithic artefacts using micro-computed tomography techniques and laser light scanners for subsequent geometric morphometric analysis. Introducing the StyroStone protocol'
<p><strong>Abstract:</strong></p> <p>Here, we present a new method to scan a large number of lithic artefacts using three-dimensional (3D) scanning technology. Despite the rising use of high-resolution 3D surface scanners in archaeological sciences, no virtual studies have focused on the 3D digitization and analysis of small lithic implements such as bladelets, microblades, and microflakes. This is mostly due to difficulties in creating reliable 3D meshes of these artefacts resulting from several inherent features (i.e., size, translucency, and acute edge angles), which compromise the efficiency of structured light or laser scanners and photogrammetry. Our new protocol <em>StyroStone</em> addresses this problem by proposing a step-by-step procedure relying on the use of micro-computed tomographic technology, which is able to capture the 3D shape of small lithic implements in high detail. We tested a system that enables us to scan hundreds of artefacts together at once within a single scanning session lasting a few hours. As also bigger lithic artefacts (i.e., blades) are present in our sample, this protocol is complemented by a short guide on how to effectively scan such artefacts using a structured light scanner (Artec Space Spider). Furthermore, we estimate the accuracy of our scanning protocol using principal component analysis of 3D Procrustes shape coordinates on a sample of meshes of bladelets obtained with both micro-computed tomography and another scanning device (i.e., Artec Micro). A comprehensive review on the use of 3D geometric morphometrics in lithic analysis and other computer-based approaches is provided in the introductory chapter to show the advantages of improving 3D scanning protocols and increasing the digitization of our prehistoric human heritage.</p> <p><strong>Content List:</strong></p> <ul> <li><strong>S1. </strong>Step-by-step protocol entitled ‘StyroStone: A protocol for scanning and extracting three-dimensional meshes of stone artefacts using Micro-CT scanners’. Also available on protocols.io (dx.doi.org/10.17504/protocols.io.bzbfp2jn);</li> <li><strong>S2. </strong>Dataset with all raw semilandmark coordinate data (in .xlsx format) used in the validation study;</li> <li><strong>S3. </strong>AGMT3D project. The file “Validation Protocol-MorphoProject.mat” can be used to open the project in the software AGMT3D;</li> <li><strong>S4. </strong>Dataset in .csv format of the principal component score data of the validation study;</li> <li><strong>S5.</strong> R script used to create Figure 2 using the R package ggplot2;</li> <li><strong>S6. </strong>3D models of the experimental bladelets obtained with the Micro-CT scanner used in the validation study. Both .ply and .wrl formats are provided;</li> <li><strong>S7. </strong>3D models of the experimental bladelets obtained with the Artec Micro scanner used in the validation study. Both .ply and .wrl formats are provided.</li> </ul>
Chanalyzer: a computational geometry approach for the analysis of protein channel shape and dynamics
<p>Dataset of molecular dynamics trajectories described in the "Chanalyzer: a computational geometry approach for the analysis of protein channel shape and dynamics" work.</p> <p>Trajectories of differently functionalized MscL channel forms. </p> <p>The *_xyzr.tar.gz files contain the processed frames in the xyzr format, which is a compatible input for NanoShaper</p> <p>The conf.prm file is the parameter file that has been used for the NanoShaper tool</p>
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
<p>The dataset is a new version of the previous upload and includes the following files:</p> <p>1. <strong>dataset_versions/tell_all.csv: </strong>The initial dataset of 1,280,927 extracted speeches, before preprocessing and cleaning. The speeches extend chronologically from July 1989 up to July 2020 and were exported from 5,355 parliamentary sitting record files. The file has a total volume of 2.5 GB and includes the following columns:</p> <ul> <li>member_name: the name of the individual who spoke during a sitting.</li> <li>sitting_date: the date the sitting took place.</li> <li>parliamentary_period: the name and/or number of the parliamentary period that the speech took place in. A parliamentary period is defined as the time span between one general election and the next. A parliamentary period includes multiple parliamentary sessions.</li> <li>parliamentary_session: the name and/or number of the parliamentary session that the speech took place in. A session is defined as a time span of usually 10 months within a parliamentary period during which the parliament can convene and function as stipulated by the constitution. A session can fall into the following categories: regular, extraordinary or special. In the intervals between the sessions the parliament is in recess. A parliamentary session includes multiple parliamentary sittings.</li> <li>parliamentary_sitting: the name and/or number of the parliamentary sitting that the speech took place in. A sitting is defined as a meeting of parliament members.</li> <li>political_party: the political party of the speaker.</li> <li>government: the government in force when the speech took place.</li> <li>member_region: the electoral district the speaker belonged to.</li> <li>roles: information about the parliamentary roles and/or government position of the speaker.</li> <li>member_gender: the gender of the speaker</li> <li>speech: the speech that the individual gave during the parliamentary sitting.</li> </ul> <p>2. <strong>dataset_versions/tell_all_FILLED.csv: </strong>This file is an intermediate version of the dataset that includes improvements in the consistency and completeness of the dataset, with a total volume of 2.5 GB. Specifically, this file is produced by filling the missing names of chairmen of various parliamentary sittings of the "tell_all.csv". It includes the same columns as the "tell_all.csv" file.</p> <p>3.<strong> dataset_versions/tell_all_cleaned.csv: </strong>This version of the dataset is the result of further cleaning and preprocessing and is used for our word usage change study. It consists of 1,280,918 speech fragments of Greek parliament members in the order of the conversation that took place, with a total volume of 2.12 GB. It includes the same columns as the aforementioned versions. The preprocessing includes the replacement of all references to political parties with the symbol "@" followed by an abbreviation of the party name, using regular expressions that capture different grammatical cases and variations. It also includes the removal of accents, strings with length less than 2 characters, all punctuation except full stops, and the replacement of stopwords with "@sw".</p> <p>4. <strong>wiki_data</strong>: A folder of modern Greek female and male names and surnames and their available grammatical cases crawled from the entries of the Wiktionary Greek names category (https://en.wiktionary.org/wiki/Category:Greek_names). We produced the grammatical cases of the missing grammatical entries according to the rules of the Greek grammar and saved the files in the same folder by adding to their filenames the string "_populated.json".</p> <p>5. <strong>parl_members_activity_1989onwards_with_gender.csv</strong>: The Greek Parliament website provides a<br> <a href="https://www.hellenicparliament.gr/Vouleftes/Diatelesantes-Vouleftes-Apo-Ti-Metapolitefsi-Os-Simera/">list</a> of all the elected members of parliament since the fall of the military junta in Greece, in 1974. We collected and cleaned the data, added the gender and kept the elected members from 1989 onwards, matching the available parliament proceeding records. This dataset includes the full names of the members, the date range of their service, the political party they served, the electoral district they belonged to and their gender.</p> <p>6. <strong>formatted_roles_gov_members_data.csv</strong>: As government members we refer to individuals in ministerial or other government posts, regardless of whether they were elected in the parliament. This information is available in the website of the <a href="https://gslegal.gov.gr/?page_id=776&sort=time">Secretariat General for Legal and Parliamentary Affairs</a>. The government members dataset includes the full names of the official individuals, the name of the role they were given, the date range of their service at each specific role and their gender.</p> <p>7. <strong>governments_1989onwards.csv</strong>: A dataset of government information including the names of governments since 1989, their start and end dates, and a URL that points to the respective official government web page of each past government. The data is crawled from the website of the <a href="https://gslegal.gov.gr/?page_id=776&sort=time">Secretariat General for Legal and Parliamentary Affairs</a>.</p> <p>8. <strong>extra_roles_manually_collected.csv</strong>: A dataset with manually collected information from Wikipedia about additional government or parliament posts such as Chairman of the Parliament, party leaders, opposition leaders and other information.</p> <p>9. <strong>all_members_activity.csv</strong>: A dataset of all the information of the aforementioned files 3,4,5,6 merged. Each row of the file includes the full name of the individual, the start and end date of their term of office, the political party and electoral district they belonged to, their gender, the parliamentary and/or government positions that they held along with start and end dates, and the name of the government that was in power during their term of office. An individual can change political parties or become an independent member of the parliament during a parliamentary period, thus having more than one entries/rows in the file.</p> <p>10. <strong>freqs_for_semantic_shift_cleaned_data_decade1990.csv & freqs_for_semantic_shift_cleaned_data_decade2010.csv</strong>: Files of frequencies of words in the corpora of the decades 1990-1999 and 2010-2019.</p> <p>11. <strong>compass_top100.csv:</strong> Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Compass tool by V. D. Carlo et. al. [1].</p> <p>12. <strong>compass_fc_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Compass tool [1] in combination with the frequency cut-offs of the Gonen et. al. approach [3]. For the frequency cut-offs, the files in bullet 8 are used.</p> <p>13. <strong> procrustes_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Orthogonal Procrustes approach of Hamilton et. al. [2].</p> <p>14. <strong>nn_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Gonen et. al. approach [3].</p> <p>15. <strong>second_order_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Second-Order Similarity approach by Hamilton et. al. [4].</p> <p>16. <strong>top100_minfreq50.xls</strong>: An .xls file for convinient viewing of the top 100 most changed words per approach with minimum frequency of 50 occurrences, produced by merging the aforementioned files 11, 12, 13, 14, 15 and 16.</p> <p>17. <strong>freqs_for_semantic_shift_cleaned_data_period1997_2007.csv & freqs_for_semantic_shift_cleaned_data_period2008_2018.csv</strong>: Files of frequencies of words in the corpora of the decades before (1997_2007) and during (2008_2018) the Greek economic crisis.</p> <p>18. <strong>semantic_shifts_dichotomy_crisis_compass_1997_2007_2008_2018_atleast50.csv</strong>: A file with the top 100 most changed words between between the decades before (1997-2007) and during (2008-2018) the Greek economic crisis. The computations are implemented with the use of the Compass tool.</p> <p>19. <strong>selected_topics_shift_per_period_compass.csv</strong>: The usage change of selected topics/words of generic political interest between pairs of consecutive parliamentary periods. The computations are implemented with the use of the Compass tool.</p> <p>20. <strong>semantic_shifts_party_embeddings_per_period_merged_compass.csv</strong>: The usage change of selected political party names that have played an important role in recent political history, namely New Democracy (ND), the Panhellenic Socialist Movement (PASOK), the Coalition of the Radical Left - Progressive Alliance (SYRIZA), the Communist Party of Greece (KKE), the Coalition of the Left, of Movements and Ecology (SYN) and Golden Dawn (GD).</p> <p>-------------</p> <p><strong><em>Citations:</em></strong></p> <p>[1] Valerio Di Carlo, Federico Bianchi, and Matteo Palmonari. Training Temporal Word Em- beddings with a Compass. In <em>Proceedings of the Thirty–Third AAAI Conference on Artificial Intelligence</em>, AAAI’19, pages 6326–6334, 2019. doi: 10.1609/aaai.v33i01.33016326.</p> <p>[2] William L. Hamilton, Jure Leskovec, and Dan Jurafsky. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. In <em>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</em>, ACL 2016, pages 1489– 1501, Berlin, Germany, August 2016. Association for Computational Linguistics. doi: 10. 18653/v1/P16-1141. URL https://www.aclweb.org/anthology/P16-1141.</p> <p>[3] Hila Gonen, Ganesh Jawahar, Djamé Seddah, and Yoav Goldberg. Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora. In <em>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</em>, ACL 2020, pages 538– 555, Online, July 2020. Association for Computational Linguistics. doi: 10.18653/v1/2020.acl- main.51. URL https://aclanthology.org/2020.acl-main.51.</p> <p>[4] William L. Hamilton, Jure Leskovec, and Dan Jurafsky. Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. In <em>Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing</em>, EMNLP 2016, pages 2116–2121, Austin, Texas, November 2016. Association for Computational Linguistics. doi: 10.18653/v1/D16-1229. URL https://www.aclweb.org/anthology/D16-1229.</p> <p>-------------</p> <p><strong><em>Acknowledgments:</em></strong></p> <p>This work was supported by the European Union’s Horizon 2020 research and innovation program ``FASTEN'' under grant agreement No 825328 and the non profit data journalism organization iMEdD.org.</p>
Nanopore sequencing data analysis using Microsoft Azure cloud computing service
<p>Genetic information provides insights into the exome, genome, epigenetics and structural organisation of the organism. Given the enormous amount of genetic information, scientists are able to perform mammoth tasks to improve the standard of health care such as determining genetic influences on outcome of allogeneic transplantation. Cloud-based computing has increasingly become a key choice for many scientists, engineers and institutions as it offers on-demand network access and users can conveniently rent rather than buy all required computing resources. With the positive advancements of cloud computing and nanopore sequencing data output, we were motivated to develop an automated and scalable analysis pipeline utilizing cloud infrastructure in Microsoft Azure to accelerate HLA genotyping service and improve the efficiency of the workflow at lower cost. In this study, we describe (i) the selection process for suitable virtual machine sizes for computing resources to balance between the best performance versus cost-effectiveness; (ii) the building of Docker containers to include all tools in the cloud computational environment; (iii) the comparison of HLA genotype concordance between the in-house manual method and the automated cloud-based pipeline to assess data accuracy. In conclusion, the Microsoft Azure cloud-based data analysis pipeline was shown to meet all the key imperatives for performance, cost, usability, simplicity and accuracy. Importantly, the pipeline allows for the ongoing maintenance and testing of version changes before implementation. This pipeline is suitable for data analysis from MinION sequencing platforms and could be adopted for other data analysis application processes.</p>
Input data of the multi-patch geometries used in: A. Farahat, H. M. Verhelst, J. Kiendl, M. Kapl, Isogeometric analysis for multi-patch structured Kirchhoff–Love shells, Computer Methods in Applied Mechanics and Engineering 411 (2023) 116060 DOI: 10.1016/j.cma.2023.116060
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Evaluation of orthodontically induced external root resorption following orthodontic treatment using Cone Beam Computed Tomography (CBCT): a systematic review and meta-analysis
<p>Datasets for all analyses performed in the paper.</p>
Experimental–Computational Analysis of Nucleation Sites for Primary Static Recrystallization
<p>This repository contains supplementary material to our paper. Specifically, the Matlab, Python,a and Shell scripts and cellular automaton source code we used to run and post-process the simulations as well as the simulation results:</p> <p><strong>MTEXEBSDMappingStructureInitialization.zip</strong><br> Specifies, using MTex v5.0.3, how we converted the measured SEM/EBSD mapping to a synthetic 2d microstructure.</p> <p><strong>SCORESourceCode.zip</strong><br> Specifies the source code of SCORE. Version 1.2.1. Demands a local HDF5 installation. MPI/OpenMP parallelized.<br> Inspect www.github.com/mkuehbach/SCORE for further details on how to compile and background to the model<br> an implementation.</p> <p><strong>ExecuteSimulations.zip</strong><br> Specifies shell scripts and UDS input files to execute the simulations. Details via these UDS files also all parameter<br> settings we used to reproduce the runs.</p> <p><strong>ComparisonXaXv.tar.gz</strong><br> Compares in summarized form, and extracted from the RXAreaFractionDepthProfile folder files, the area vs<br> volume fraction at specified time snapshots for the z= [0.0, 0.5, 1.0] RDTD section.<br> <br> <strong>Inherited_GrainSizeMicrostructure.zip</strong><br> ANG-like serial sectioning snapshot results and IPF visualization of microstructure evolution for those<br> simulation cases in which the nuclei inherited the orientation from their site.</p> <p><strong>Random_GrainSizeMicrostructure.zip</strong><br> ANG-like serial sectioning snapshot results and IPF visualization of microstructure evolution for those<br> simulation cases in which the nuclei had random orientations form the SO3.</p> <p><strong>RXAreaFractionDepthProfile.zip</strong><br> Specifies the evolution of the area fraction recrystallized with grains in cross-sectional area >=13px<br> for every RDTD layer.</p> <p>The corresponding parameterization is detailed in the *.uds input file which specifies all constitutive parameter<br> and log settings of the automaton. The simulation is executed by compiling the program and linking to<br> HDF5. The OMP_NUM_THREADS environment variable should be set to not more than 10.<br> The SCORE is executed as follows:<br> mpirun -np 1 ./score <simid> <udsfile> <KAM Ang EBSD file> 1>STDOUT.txt 2>STDERR.txt<br> <br> <strong>Profiling.zip</strong><br> Details the execution log of the automaton ie runtime individual composition of nuclei volume transformation<br> progression, interfacial area evolution, etc.</p> <p><strong>SingleGrainData.zip</strong><br> Details the volume consumption / volume gain kinetics of every single deformed / recrystallized grain.</p> <p><strong>TemperatureTimeProfile.zip</strong><br> Details the time/temperature and step profile of the numerical integration.<br> This allows to map integration time steps to simulated microstructural states.</p> <p><strong>ThreadProfilingGrowth.zip</strong><br> Details the evolution of the recrystallized volume versus time and number of active cells per thread sub-domain.</p> <p><strong>MartinPostprocessingScripts.zip</strong><br> Is a collection of Python and MTex scripts to compile the area size distribution and compute ODFs.</p>
Performance Analysis of Single Board Computer Clusters
<p>This dataset contains the outputs from HPL runs used to measure performance of 16 nodes clusters built using Raspberry Pi 3 Model B, Raspberry Pi 3 Model B+, and Odroid C2. These clusters were constructed using the Pi Stack PCB which is available from https://doi.org/10.5258/SOTON/D0379.</p>
Computer Vision-Based Image Analysis
<p>Computer Vision-Based Image Analysis Tool is an innovative tool analysing the colour change of the foods in the fridge to correlate this information to the food loss and waste at household level. This tool deals with colour measurement from the 2D image of 3D fresh fruit and vegetable. The system takes the pictures of the selected fruit or vegetable, analyses the image and detects the colour-based deterioration, if any. The deterioration is calculated as area percentage. Finally, this information is correlated to the weight of these fruits or vegetables. This technology will also be adapted to the meat supply chain to evaluate the meat quality according to their colour for further processing.</p>
Data from: Computer-aided X-ray screening for tuberculosis and HIV testing among adults with cough in Malawi (the PROSPECT study): a randomized trial and cost-effectiveness analysis
<p>Suboptimal tuberculosis (TB) diagnostics and HIV contribute to the high global burden of TB. We investigated costs and yield from systematic HIV-TB screening, including computer-aided digital chest X-ray (DCXR-CAD). Suboptimal tuberculosis (TB) diagnostics and HIV contribute to the high global burden of TB. We investigated costs and yield from systematic HIV-TB screening, including computer-aided digital chest X-ray (DCXR-CAD).</p> <p>In this open, three-arm randomised trial, adults (≥18 years) with cough attending acute primary services in Malawi were randomised (1:1:1) to standard-of-care (SOC); oral HIV testing (HIV screening) and linkage to care; or HIV testing and linkage to care plus DCXR-CAD with sputum Xpert for high CAD4TBv5 scores (HIV-TB screening). Participants and study staff were not blinded to intervention allocation, but investigator blinding was maintained until final analysis. The primary outcome was time to TB treatment. Secondary outcomes included proportion with same-day TB treatment; prevalence of undiagnosed/untreated bacteriologically-confirmed TB on day 56; and undiagnosed/untreated HIV. Analysis was done on an intention to treat basis. Cost-effectiveness analysis used a health-provider perspective. Between 15/11/2018-27/11/2019, 8236 were screened for eligibility, with 473, 492, and 497 randomly allocated to SOC, HIV, and HIV-TB screening arms; 53 (11%), 52 (9%), and 47 (9%) were lost to follow-up, respectively. At 56 days, TB treatment had been started in 5 (1.1%) SOC, 8 (1.6%) HIV-screening, and 15 (3.0%) HIV-TB screening participants. Median (IQR) time to TB treatment was 11 (6.5-38), 6 (1-22) and 1 (0-3) days (hazard ratio for HIV-TB vs. SOC: 2.86, 1.04-7.87), with same-day treatment of 0/5 (0%) SOC, 1/8 (12.5%) HIV, and 6/15 (40.0%) HIV-TB screening arm TB patients (p=0.03). At day 56, 2 SOC (0.5%), 4 HIV (1.0%), and 2 HIV-TB (0.5%) participants had undiagnosed microbiologically-confirmed TB. HIV screening reduced the proportion with undiagnosed or untreated HIV from 10 (2.7%) in the SOC arm to 2 (0.5%) in the HIV-screening arm (risk ratio [RR]: 0.18, 0.04-0.83), and 1 (0.2%) in the HIV-TB screening arm (RR: 0.09, 0.01-0.71). Incremental costs were US$3.58 and US$19.92 per participant screened for HIV and HIV-TB; the probability of cost-effectiveness at a US$1200/quality-adjusted life-year (QALY) threshold were 83.9% and 0%. Main limitations were the lower than anticipated prevalence of tuberculosis and short participant follow-up period; cost and quality of life benefits of this screening approach may accrue over a longer time horizon.</p> <p>DCXR-CAD with universal HIV screening significantly increased the timeliness and completeness of HIV and TB diagnosis. If implemented at scale this has potential to rapidly and efficiently improve TB and HIV diagnosis and treatment.</p>
Computer Code and Data - Determination of server location in emergency care systems: an index proposal using Data Envelopment Analysis and the Hypercube Queuing Model
<p>Computer code and data related to the research project "Determination of server location in emergency care systems: an index proposal using Data Envelopment Analysis and the Hypercube Queuing Model".</p>
Data from: Computed tomographic analysis of dental system of three Jurassic ceratopsians: implications for the evolution of the tooth replacement pattern and diet in early-diverging ceratopsians
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Data from: Computer-aided X-ray screening for tuberculosis and HIV testing among adults with cough in Malawi (the PROSPECT study): a randomized trial and cost-effectiveness analysis
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.