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285 results for “Computational analysis”
FIGURE 2 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 2. FMNH PR2081, Tyrannosaurus rex. Skull in right lateral view (A, photograph; B, line interpretation of cranial sutures). Scale = 30 cm. See Appendix 1 for abbreviations. Photograph by J. Weinstein.
FIGURE 50 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 50. FMNH PR2081, Tyrannosaurus rex. Cervical vertebrae (p2 through p9), left lateral view. A is axis. Scale = 1 5 cm. See Appendix 1 for abbreviations. Photographs by J. Weinstein.
FIGURE 69 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 69. FMNH PR2081, Tyrannosaurus rex. Haemal arches, dorsal view. Scale = 10 cm. Photographs by J. Weinstein.
FIGURE 53 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 53. FMNH PR2081, Tyrannosaurus rex. Presacral vertebrae (p14 through p23), anterior view. Scale =15 cm. See Appendix 1 for abbreviations. Photographs by J. Weinstein.
FIGURE 68 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 68. FMNH PR2081, Tyrannosaurus rex. Haemal arches, right lateral view. Scale = 10 cm. Photographs by J. Weinstein.
FIGURE 61 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 61. FMNH PR2081, Tyrannosaurus rex. Caudal vertebrae, dorsal view. Scale = 15 cm. Photographs by J. Weinstein.
FIGURE 67 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 67. FMNH PR2081, Tyrannosaurus rex. Haemal arches, posterior view. Scale = 10 cm. Photographs by J. Weinstein.
FIGURE 60 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 60. FMNH PR2081, Tyrannosaurus rex. Caudal vertebrae, left lateral view. Scale = 1 5 cm. Photographs by J. Weinstein.
Data from: The appropriateness of language found in research consent form templates: a computational linguistic analysis
Background: To facilitate informed consent, consent forms should use language below the grade eight level. Research Ethics Boards (REBs) provide consent form templates to facilitate this goal. Templates with inappropriate language could promote consent forms that participants find difficult to understand. However, a linguistic analysis of templates is lacking. Methods: We reviewed the websites of 124 REBs for their templates. These included English language medical school REBs in Australia/New Zealand (n=23), Canada (n=14), South Africa (n=8), the United Kingdom (n=34), and a geographically-stratified sample from the United States (n=45). Template language was analyzed using Coh-Metrix linguistic software (v.3.0, Memphis, USA). We evaluated the proportion of REBs with five key linguistic outcomes at or below grade eight. Additionally, we compared quantitative readability to the REBs' own readability standards. To determine if the template's country of origin or the presence of a local REB readability standard influenced the linguistic variables, we used a MANOVA model. Results: Of the REBs who provided templates, 0/94 (0%, 95% CI=0-3.9%) provided templates with all linguistic variables at or below the grade eight level. Relaxing the standard to a grade 12 level did not increase this proportion. Further, only 2/22 (9.1%, 95% CI= 2.5-27.8) REBs met their own readability standard. The country of origin (DF= 20, 177.5, F=1.97, p=0.01), but not the presence of an REB-specific standard (DF=5, 84, F=0.73, p=0.60), influenced the linguistic variables. Conclusions: Inappropriate language in templates is an international problem. Templates use words that are long, abstract, and unfamiliar. This could undermine the validity of participant informed consent. REBs should set a policy of screening templates with linguistic software.
Data from: Approximate Bayesian computation analysis of EST-associated microsatellites indicates that the broadleaved evergreen tree Castanopsis sieboldii survived the Last Glacial Maximum in multiple refugia in Japan
Climatic changes have played major roles in plants' evolutionary history. Glacial oscillations have been particularly important, but some of their effects on plants' populations are poorly understood, including the numbers and locations of refugia in Asian warm temperate zones. In the present study, we investigated the demographic history of the broadleaved evergreen tree species Castanopsis sieboldii (Fagaceae) during the last glacial period in Japan. We used approximate Bayesian computation (ABC) for model comparison and parameter estimation for the demographic modelling using 27 EST associated microsatellites. We also performed the species distribution modelling (SDM). The results strongly support a demographic scenario that the Ryukyu Islands and the western parts in the main islands (Kyushu and western Shikoku) were derived from separate refugia and the eastern parts in the main islands and the Japan Sea groups were diverged from the western parts prior to the coldest stage of the Last Glacial Maximum (LGM). Our data indicate that multiple refugia survived at least one in the Ryukyu Islands, and the other three regions of the western and eastern parts and around the Japan Sea of the main islands of Japan during the LGM. The SDM analysis also suggests the potential habitats under LGM climate conditions were mainly located along the Pacific Ocean side of coastal region. Our ABC-based study helps efforts resolve the demographic history of a dominant species in warm temperate broadleaved forests during and after the last glacial period, which provides a basic model for future phylogeographical studies using this approach.
Data from: Is computer-assisted instruction more effective than other educational methods in achieving ECG competence amongst medical students and residents? A systematic review and meta-analysis.
Objectives It remains unclear whether computer-assisted instruction (CAI) is more effective than other teaching methods in acquiring and retaining ECG competence amongst medical students and residents. Design This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data sources Electronic literature searches of PubMed, databases via EBSCOhost, Scopus, Web of Science, Google Scholar and grey literature were conducted on 28 November 2017. We subsequently reviewed the citation indexes of articles identified by the search. Eligibility criteria Studies were included if a comparative research design was used to evaluate the efficacy of CAI versus other methods of ECG instruction, as determined by the acquisition and/or retention of ECG competence of medical students and/or residents. Data extraction and synthesis Two reviewers independently extracted data from all eligible studies and assessed the risk of bias. After duplicates were removed, 559 papers were screened. Thirteen studies met the eligibility criteria. Eight studies reported sufficient data to be included in the meta-analysis. Results In all studies, CAI was compared to face-to-face ECG instruction. There was a wide range of computer-assisted and face-to-face teaching methods. Overall, the meta-analysis found no significant difference in acquired ECG competence between those who received computer-assisted or face-to-face instruction. However, sub-analyses showed that CAI in a blended learning context was better than face-to-face teaching alone, especially if trainees had unlimited access to teaching materials and/or deliberate practice with feedback. There was no conclusive evidence that CAI was better than face-to-face teaching for longer-term retention of ECG competence. Conclusion CAI was not better than face-to-face ECG teaching. However, this meta-analysis was constrained by significant heterogeneity amongst studies. Nevertheless, the finding that blended learning is more effective than face-to-face ECG teaching is important in the era of increased implementation of e-learning. PROSPERO registration number CRD42017067054
A Computational Analysis of the Ideological Landscape of Turkey and Electoral Behavior
Open the record for dataset details and reuse information.
Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction
<p>We uploaded the Radiomics features raw data of the manuscript "<span>Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction</span>"</p>
A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior
<p>The dataset is for the manuscript entitled "A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior".</p>
Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets
<p>The dataset contains computed tomography (CT) images of head horses with annotations of 12 segments corresponding to areas with teeth. Imaged animals: 49 horses. Measured animal features such as surface area, and volume are included. The study was supported by the National Science Centre, Poland as a part of the project<br>Miniatura 6 No 2022/06/X/ST6/00431. </p>
Improvements in airflow characteristics and effect on the NOSE score after septoturbinoplasty: A computational fluid dynamics analysis
<p><span>Septoturbinoplasty is a surgical procedure that can improve nasal congestion symptoms in patients with nasal septal deviation and inferior turbinate hypertrophy. However, it is unclear which physical domains of nasal airflow after septoturbinoplasty are related to symptomatic improvement. This work employs computational fluid dynamics modeling to identify the physical variables and domains associated with symptomatic improvement. Sixteen numerical models were generated using eight patients' pre- and postoperative computed tomography scans. Changes in unilateral nasal resistance, surface heat flux, relative humidity, and air temperature and their correlations with improvement in the </span><span>Nasal Obstruction Symptom Evaluation (NOSE) score were analyzed. The NOSE score significantly improved after septoturbinoplasty, from 14.4 ± 3.6 to 4.0 ± 4.2 (p < 0.001). The surgery not only increased the airflow partition </span><span>on the more obstructed side (MOS) from 31.6 ± 9.6 to 41.9 ± 4.7% (p = 0.043), but also reduced the unilateral nasal resistance in the MOS from 0.200 ± 0.095 to 0.066 ± 0.055 Pa/(mL</span><span>×</span><span>s) (p = 0.004). Improvement in the NOSE score correlated significantly with the reduction in unilateral nasal resistance in the preoperative MOS (<em>r</em>=0.81). Also, improvement in the NOSE score correlated better with the increase in surface heat flux in the preoperative MOS region from the nasal valve to the choanae (<em>r</em>=0.87) than in the vestibule area (<em>r</em>=0.63). Therefore, </span><span>unilateral nasal resistance and mucous cooling in the preoperative MOS can explain the perceived improvement in symptoms after septoturbinoplasty. Moreover, the physical domain between the nasal valve and the choanae might be more relevant to patient-reported patency than the vestibule area. </span></p>
Enhancing Facial Emotion Recognition: A Comparative Analysis of Sobel and Laplacian Filters for Computer Vision Applications
<p><span>This project explores the efficacy of integrating Sobel and Laplacian filters to enhance the performance of Convolutional Neural Network (CNN) models for facial emotion recognition. The project was part of our final Mtech in Data Science thesis at the Institute of Defence Institute of Advanced Technology, Pune. The FER2013 dataset was utilized for the research.</span></p>
scHolography: a computational method for single-cell spatial neighborhood reconstruction and analysis
<p>Analysis code for the paper "scHolography: a computational method for single-cell spatial neighborhood reconstruction and analysis"</p>
Supplementary tables for the paper: "Comprehensive computational analysis via Adverse Outcome Pathways and Aggregate Exposure Pathways in exploring synergistic effects from radon and tobacco smoke on lung cancer."
<p><strong>Authors</strong>:<br>Thomas Jaylet, Vinita Chauhan, Laura Mezquita, <em>Nadia Boroumand</em><em>, </em>Olivier Laurent, <em>Karine Elihn</em><em>, Lovisa Lundholm</em><em>, </em>Olivier Armant, Karine Audouze</p>
Figure 3 in Trigonotarbus johnsoni Pocock, 1911, revealed by X-ray computed tomography, with a cladistic analysis of the extinct trigonotarbid arachnids
Figure 3. Tomographic reconstruction of Trigonotarbus johnsoni based on specimen NHMUK I. 15860. A, dorsal view. B, fourth right leg, podomeres labelled. C, ventral view. D, ventrolateral view of the coxo-sternal region. Abbreviations: 1–12, segment number; CE1−2, coxal endites 1–2; CH, chelicerae; CL, clypeus; FE, femur; L1−L4, legs 1–4; ME, median eye tubercle; MT, metatarsus; PA, patella; PP, pedipalp; PR, projection; TA, tarsus; TI, tibia; TR, trochanter. Scale bars: A, C = 2 mm, B = 1 mm, D = 0.5 mm.
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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.