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opencc-by-4.0Nov 2023View details →

Connectome-based reservoir computing with the conn2res toolbox

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dryad32/100

Comparison of planar digital radiography and helical standing computed tomography for assessment of condylar stress fracture risk in Thoroughbred racehorses

Background: Catastrophic injury has a low incidence but leads to the death of many Thoroughbred racehorses. Objectives: To determine sensitivity, specificity, and reliability for condylar stress fracture risk assessment from fetlock digital radiographs (DR) and standing computed tomography (sCT). Study design: Controlled ex vivo experiment. Methods: A blinded set of thoracic limb fetlock DR and sCT images were prepared from 31 Thoroughbreds. Four observers evaluated the condyles and parasagittal grooves (PSG) of the third metacarpal bone for the extent of dense bone and lucency/fissure and assigned a risk assessment grade for condylar stress fracture. Sensitivity and specificity for detection of subchondral structural changes in the condyles and PSG and for risk assessment for condylar stress fracture were determined by comparison with a reference. Agreement between observers and the reference assessment and reliability between observers were determined. Intra-observer repeatability was also assessed. Results: Sensitivity for detection of structural change was lower than specificity for both imaging methods and all observers. For horses with normal risk, observer assessment often agreed with the reference. Sensitivity for risk assessment was lower than specificity for all observers. For horses with a high risk of injury, observers generally underestimated risk. Diagnostic sensitivity of risk assessment was improved with sCT imaging, particularly for horses with elevated risk of injury. Assessment repeatability and reliability was better with sCT than DR. Main limitations: The ex vivo study design influenced DR image sets. Conclusions: Risk assessment through screening with diagnostic imaging is a promising approach to improve injury prevention in racing Thoroughbreds. Knowledge of sensitivity and specificity of fetlock lesion detection provides the critical guidance needed to improve screening programs for racehorses. We found improved detection of MC3 subchondral structural change and risk assessment for condylar stress fracture with sCT ex vivo.

opencc-zeroDec 2023View details →

opencc-by-4.0Dec 2023View details →

Computer-Aided Drug Design (CADD): To Screen Potential Antibiotics Against Klebsiella Pneumoniae Beta-Lactamase Enzyme

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opencc-by-4.0Oct 2023View details →

Experimental signals and processed data used in the research work "On-chip phonon-magnon reservoir for neuromorphic computing"

The data set includes the raw experimental data, processed experimental data, and numerically modeled dependencies in the respective folders:The raw experimental data (magnon readout, as measured) are given for all processed signals presented in the respective figures (folders 'Figure2', 'Figure3' and 'Sup Figure1') and used for the ANN training (folder '3x3Sets & AugmentedVisualShapes').      The signals presented in the folders '\3x3Sets & AugmentedVisualShapes\3x3SET##' are named following the scheme shown in Fig. 3a. The signals in the folder \3x3Sets & AugmentedVisualShapes\RandomizedShapes' are simulated using the procedure described in the Methods section as "Drawing of randomized visual shapes". The sets of calculated statistical parameters used for the shapes' recognition are in the folder ''\3x3Sets & AugmentedVisualShapes\Parameters'The waveforms for the trajectories formed by randomly selected 4, 5, 6, and 7 discrete positions and their statistical parameters are presented in the corresponding folder.

openodc-odblMay 2023View details →

Self-ion irradiation effects on nanoindentation-induced plasticity of crystalline iron: A joint experimental and computational study

Set consists two folders named after the methods used to obtained the data i.e. Nanoindentation, EBSD. → EBSD In EBSD folder there are 3 original image files that make up Figure 1 and Figure 3a and 3b in the paper. Below please find the description: Fig. 1. EBSD IPF Z image of the pristine Fe sample. Fig. 3. (a) EBSD map of the indentation array made within one grain with [101] orientation, (b) GND density of map of the indentation array → Nanoindentation In Nanoindentation folder there are two folders dedicated to two different materials (pristine and ion irradiated). The name of .txt files is as follows: Pure_Fe_300C_5MeV_1,5mN_100x1-107131929 where: Pure_Fe_300C_5MeV  -> Name of the sample, 1,5mN -> Load 100 -> Number of repetitions x1 -> Number of LD curves

opencc-by-4.0Feb 2020View details →

Banking dataset used for cloud computing and comparison with Human

Banking dataset used for cloud computing

opencc-by-nc-sa-2.0Sep 2020View details →

Commodore C64C computer set

The Commodore C64 is one of the most popular designs in the history of computers, produced from 1982 until 1994. Its manufacturer – Commodore Business Machines – established in 1954 in Toronto (then moved to NY), was founded by Jack Tramiel (b. Trzmiel) – a Polish emigrant of Jewish descent, Holocaust survivor. In line with the standards of the 1980s, the computer was integrated with the keyboard and placed in the same housing. A TV set could be used as the monitor, and the basic medium for data was a special version of a cassette tape recorder. It was also possible to purchase an additional disk drive. The C64 stood out from the competition with its advanced sound capabilities thanks to the integrated circuit – SID. This option was wide-used by the authors of computer games and musicians. Nowadays, the C64 is used on the demo scene (a programming and computer subculture) for creating works that are styled on the 1980s. Commodore, USA/Hong Kong, 1984 Inv. No. MIM1649/VII-139 Licence: CC BY-NC-SA Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-sa-2.0Nov 2020View details →

PowerBook 180 laptop computer

The PowerBook 180 laptop is a portable computer made by Apple and part of the PowerBook family. The series departs from the Apple products' - Snow White design language. The new design concept was the work of Robert Brunner's team, which replaced the light colours with graphite grey. Not much attention was paid to the appearance of laptops in the 1980s, and they were simple in form, block-like, and heavy. Yet, the PowerBook series of computers offered customers a device installed in a small, compact housing with a clamshell design – solution adopted from the first ever laptop computer – the Grid Compass, designed by Bill Moggridge in 1982. Rounded edges, ergonomic keyboard, centrally place spherical trackball are among those solutions adopted in the PowerBook series which set the standard for the design of modern laptop computers. Apple Computer Inc., USA/Japan, 1992 Inv. No.: MIM1595/VII-137 Model prepared on the basis of photogrammetric measurements Licence: CC BY-NC-SA Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Mar 2023View details →

Supporting Data and Code for "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer"

Supporting Data and Code for the paper "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer".  Navigate to wen16/ then pip install -r requirements.txt To generate all the plots/data run plots_and_data.ipynb

opencc-by-4.0Feb 2024View details →

Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study

These are the artifacts that are associated with the paper: Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study This paper was accepted for publication at the 18th International Conference on Augmented Cognition The preprint of the paper is available at: https://arxiv.org/abs/2404.10194

opencc-by-4.0Jan 2023View details →

DEDICAT 6G Robot metrics for different levels of intelligence (computation) distribution

Battery consumption, CPU and RAM metrics for locobots used in testing of intelligence distribution.

The 3'-RACE data (InPACT: A computational method for accurate characterization of intronic polyadenylation from RNA sequencing data)

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Functional and structural computed connectivity profiles for pre-defined whole-brain and cortical hull maps

This Repository holds Lead-DBS Lead-Mapper v.2.5.2 computed functional and structural estimated connectivity. The structural dMRI connectivity is computed based on the "HCP1000 6K" connecome and the fMRI connectivity "GSP 1000 Yeo 2011" connectome. Both connectivity metrices were computed using two pre-defined grids: <ol> <li> Cortical hull (1025 points). The grid was estimated based on the <a href="https:/github.com/neuromodulation/py_neuromodulation/blob/main/py_neuromodulation/ConnectivityDecoding/_get_grid_hull.m">SPM cortex_20484 grid</a> and subsampled by every 20th point. The grid is saved as a <a href="(https:/github.com/neuromodulation/py_neuromodulation/blob/main/py_neuromodulation/ConnectivityDecoding/mni_coords_cortical_surface.mat)">.mat file</a> and can be acessed through the main repository .</li> <li>Whole-brain (1236 points). Given the Lead-DBS provided <a href="https://github.com/neuromodulation/py_neuromodulation/blob/main/py_neuromodulation/ConnectivityDecoding/Automated%20Anatomical%20Labeling%203%20(Rolls%202020).nii">AAL3 atlas</a> the whole-brain .nii grid is subsampled by a factor of 150. See here the <a href="https://github.com/neuromodulation/py_neuromodulation/blob/main/py_neuromodulation/ConnectivityDecoding/_get_grid_whole_brain.py">grid computation</a>.</li> </ol> Both grids can be accessed trough the <a href="https://github.com/neuromodulation/py_neuromodulation/tree/main">py_neuromodulation</a> API using the <a href="https://github.com/neuromodulation/py_neuromodulation/blob/main/py_neuromodulation/nm_RMAP.py">nm_RMAP.py</a> module.

Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction

We uploaded the Radiomics features raw data of the manuscript "Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction"

Reduced Gun Violence Frame Corpus data set for the Text2Story 2024 article: "Evaluating the Ability of Computationally Extracted Narrative Maps to Encode Media Framing"

Title: Simplified Gun Violence Frame Corpus (GVFC) Subset Description: This data set is a simplified subset of the Gun Violence Frame Corpus (GVFC) from Liu et al. (2019). The original GVFC consists of 1300 news articles in English from multiple U.S. based sources extracted during the year 2018, focusing on media frames commonly used when reporting the issue of Gun Violence. The original data set has 9 types of frames, including both issue-specific and generic frames. Due to high computational costs in our analysis methods, we decreased the data set size from 1300 articles to 131 articles using stratified sampling, maintaining the original distribution of the frame labels. We also manually searched for the original sources of each article based on its headline and added the missing temporal information and news source to the data set, as it was required by our algorithms. To further reduce the complexity of the framing model and account for the smaller data set size, we grouped the original nine frames into three higher-level frames: 1. Frame 1: Political Issues - Combining the first, second, and third frames, which focus on political issues mostly related to gun control. 2. Frame 2: Public Services - Combining the fourth and fifth frames, which focus on mental healthcare issues, as well as school and public safety. 3. Frame 3: Cultural and Societal Issues - Combining the last four frames, which are oriented towards cultural or societal issues, including discussions around race and ethnicity, public opinion, and economic consequences. The resulting simplified data set contains 131 news articles, each labeled with one of the three higher-level frames, along with the necessary temporal information and news source for the narrative extraction process. If you use this data set, please make sure to cite the original GVFC paper and our workshop paper please.  References: <ol> <li>Liu et al. (2019) "Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding US Gun Violence", 23rd Conference on Computational Natural Language Learning (CoNLL 2019).</li> <li>Concha Macías, Sebastián and Keith Norambuena, Brian (2024). "Evaluating the Ability of Computationally Extracted Narrative Maps to Encode Media Framing", Text2Story 2024 Workshop, ECIR 2024.</li> </ol>

Fig. 11 in Computational insight into the chemical space of plant growth regulators

Fig. 11. The results of testing the discovered hit-molecules (dots within the map) using the developed in silico model (background gradient corresponds to the distribution of Ref. PGRs). This case, the scale at the bottom indicates the number of hits in each node.

Fig. 10 in Computational insight into the chemical space of plant growth regulators

Fig. 10. The discrimination between two agro-categories using Ui: PGRs/pesticides (a), herbicides/PGRs (b).

Fig. 8 in Computational insight into the chemical space of plant growth regulators

Fig. 8. The distributions of PGRs (a), herbicides (b), fungicides (c), and insecticides (d). The scale at the bottom corresponds to the number of compounds; the axes indicate the node coordinates in the lattice; the contours are smoothed.

Fig. 9 in Computational insight into the chemical space of plant growth regulators

Fig. 9. The distributions of the descriptor values within the map for HBA (a) and RBN (b) demonstrate that separation could be achieved with a holistic approach. The scale at the bottom shows the number of the compounds; the axes indicate the node coordinates in the lattice; the contours are smoothed.

Fig. 4 in Computational insight into the chemical space of plant growth regulators

Fig. 4. The diversity in heterocycles for the reference compounds: PGRs (a), the whole reference set (b), herbicides (c).