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3,690 results for “Computing”
Shaping the Future The Transformative Potential of AI in Computer Science VET Programs
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Measurement dataset for Impedance Standard Substrate Characterization and EM model Definition for Cryogenic and Quantum-Computing Applications
<p>dataset for the data presented in the paper "Impedance Standard Substrate Characterization and EM model definition for Cryogenic and Quantum-Computing Applications"</p> <p>In this contribution, we describe the modeling approaches and the characterization procedures used to develop accurate standard models for cryogenic, probe-level, calibrations substrates.The key electrical and mechanical parameters of the impedance terminations and the lines used in commercially available impedance standard substrates are first characterized versus temperature. After, these component are simulated using 2.5D EM solvers including their mechanical variation when exposed to cryogenic temperatures, to extract their nominal response at 7 Kelvin. The quality of the resulting calibrations at cryogenic is evaluated first using independent CPW lines on the calibration substrates and then by measuring the response of a transformer-based resonator realized on a Si-based technology.Ambient temperature models are used as a comparison, to highlight the accuracy improvement that can be achieved employing optimized Cryo-EM based models.</p>
External root resorption associated with displaced permanent maxillary canines: a cone-beam computed tomographic analysis
<p>Dataset for all analyses. Access initially will be granted to the editor and the reviewers during the peer review process. After acceptance, unrestricted open access to all will be granted.</p>
Figure 2 in Trigonotarbus johnsoni Pocock, 1911, revealed by X-ray computed tomography, with a cladistic analysis of the extinct trigonotarbid arachnids
Figure 2. Hand specimens of Trigonotarbus johnsoni from the NHMUK collections. Scale bars = 1 mm.
Computational data for Covalent benzenesulfonic functionalization of a graphene nanopore for enhanced and selective proton transport
<p>Computational data for publication: Covalent benzenesulfonic functionalization of a graphene nanopore for enhanced and selective proton transport</p> <p>1) ReaxFF_MD_trajectories_and_data:</p> <ul> <li>NPT, NVT, metadynamics trajectories;</li> <li>Metadynamics COLVAR and HILLS files;</li> <li>Metadyncamics_Gibbs_free_energiy_estimations.ods</li> </ul> <p>2) Areal_proton_conductivity_script.py: for estimation of areal proton conductivity using the Gibbs free energies extracted from the ReaxFF MD metadynamics.</p> <p> </p>
P in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
P. lusitanicus
P in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
P. bocagei
Food Choices After Cognitive load: An Affective Computing Approach
<p>The dataset was gathered to examine the impact of cognitive load on eating behavior. It comprises three primary datasets:</p> <ol> <li> <p>Shimmer GSR+ device sensor data: This encompasses various sensor measurements such as galvanic skin response (electrodermal activity), photoplethysmography, accelerometer, gyroscope, magnetometer, temperature, and pressure data.</p> </li> <li> <p>Food consumption: This data records the quantities of fruits, vegetables, snacks, and liquids consumed during the experiment, measured in grams and milliliters.</p> </li> <li> <p>Questionnaires: This includes the NASA-TLX questionnaire to assess workload and the PANAS questionnaires to measure affective states.</p> </li> </ol>
Fig. 6. Photoinitiated n in Structures of ganorbifates C-I, seven previously undescribed lanostanoids from the mushroom Ganoderma orbiforme, and insights of computed biosynthesis with DFT
Fig. 6. Photoinitiated n→π* excitation and the subsequent hydrogen abstraction in 1–3.
Parallel window decoding enables scalable fault tolerant quantum computation
<p>Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.</p> <p> </p>
Computer Assisted Instruction Weight Management for Low Literacy Populations
ClinicalTrials.gov study NCT00005693. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparing Single Photon Emission Computed Tomography (SPECT) and Liver Biopsy to Evaluate the Liver in Patients With HIV and Hepatitis C Virus
ClinicalTrials.gov study NCT00006643. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Application of Computer-assisted Navigation in Total Knee Arthroplasty: A Randomized Pair-matched Double-blind Trial
ClinicalTrials.gov study NCT00982956. IPD Sharing: Not stated. Countries: 0. Publications: 0.
RBP Footprint Grand Challenge: An evaluation of novel computational approaches to RNA-binding protein target prediction from structural data
GEO Series GSE227455. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
From computer simulation to therapeutic potential: ETA53 for myocardial infarction
GEO Series GSE247311. Rattus norvegicus. 12 samples. Type: Expression profiling by high throughput sequencing.
Integrative Computational and Experimental Analysis of Curly Su Mutations in Drosophila melanogaster
GEO Series GSE297539. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.
Target-agnostic discovery of Rett Syndrome therapeutics by coupling computational network analysis and CRISPR-enabled in vivo disease modeling
GEO Series GSE199049. Xenopus laevis. 13 samples. Type: Expression profiling by array.
Dataset related to article "Computed tomography based radiomic signature as predictive of survival and local control after stereotactic body radiation therapy in pancreatic carcinoma"
<p>PURPOSE:</p> <p>To appraise the ability of a radiomics signature to predict clinical outcome after stereotactic body radiation therapy (SBRT) for pancreas carcinoma.</p> <p>METHODS:</p> <p>A cohort of 100 patients was included in this retrospective, single institution analysis. Radiomics texture features were extracted from computed tomography (CT) images obtained for the clinical target volume. The cohort of patients was randomly divided into two separate groups for the training (60 patients) and validation (40 patients). Cox regression models were built to predict overall survival and local control. The significant predictors at univariate analysis were included in a multivariate model. The quality of the models was appraised by means of area under the curve and concordance index.</p> <p>RESULTS:</p> <p>A clinical-radiomic signature associated with Overall Survival (OS) was found significant in both training and validation sets (p = 0.01 and 0.05 and concordance index 0.73 and 0.75 respectively). Similarly, a signature was found for Local Control (LC) with p = 0.007 and 0.004 and concordance index 0.69 and 0.75. In the low risk group, the median OS and LC in the validation group were 14.4 and 28.6 months while in the high-risk group were 9.0 and 17.5 months respectively.</p> <p>CONCLUSION:</p> <p>A CT based radiomic signature was identified which correlate with OS and LC after SBRT and allowed to identify low and high-risk groups of patients.</p>
Dataset related to article "Cost-effectiveness of second-line diagnostic investigations in patients included in the DANTE trial: a randomized controlled trial of lung cancer screening with low-dose computed tomography."
<p>AIM:</p> <p>The aim of this study was to analyze the economic efficiency of second-line diagnostic investigations in patients with undetermined lung nodules.</p> <p>PARTICIPANTS AND METHODS:</p> <p>A retrospective review of all surgical cases included in the DANTE trial from 2001 to 2006 for lung cancer screening was performed. Overall, 217 patients and 261 lung nodules were analyzed. The cohort was divided into patients investigated with PET and/or computed tomography (CT)-guided biopsy (PET-CTB protocol; N=100), compared with those assessed with serial low-dose CT scans (standard protocol; N=161). Outpatient's and inpatient's costs were expressed in euros and derived from the Italian National Health Service. Ineffective costs were defined as the cost of procedures that lead to avoidable surgical intervention.</p> <p>RESULTS:</p> <p>The diagnostic accuracy of the two protocols was 91% for the standard (sensitivity 100%, specificity 91%, positive predictive value 26%, and negative predictive value 100%) and 90% for the PET-CTB protocol (sensitivity 98%, specificity 81%, positive predictive value 85%, and negative predictive value 97%). Average costs for outpatient's diagnostics were 694 and 1.462 euros, respectively, for the standard and PET-CTB protocol. Average inpatient's costs for both protocols were 12.121 euros. The two protocols showed comparable effectiveness in terms of outpatient's costs (94 and 90%, respectively; P=0.252). Inpatient's costs were effective in 36% of cases monitored according to the standard protocol compared with 85% of patients investigated with PET-CTB protocol. Ineffective costs corresponded to 64 and 15%, respectively (P<0.0001).</p> <p>CONCLUSION:</p> <p>Despite a higher average cost for outpatient's diagnostics, the implementation of PET imaging with or without CT-guided needle biopsy in the workup of suspicious lung nodules results in reduced unnecessary harm and costs related to inpatient's procedures.</p>
HTTP Dataset 02 for Experimenting on Service-Oriented Computing
<p>This is the newest version.</p>
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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.