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1,389 results for “multimodality”
Supplementary material for "Modeling styles in conceptual data modeling: Reflecting observations in a series of multimodal studies'"
<p>This material supplements the following conference publication:</p> <p>Rosenthal, K., Wagner, S., Strecker, S. (2022) Modeling styles in conceptual data modeling: Reflecting observations in a series of multimodal studies</p>
Augmented Brain Tumor Multimodal Dataset Based on Reconstruction Consistency Loss
<p>We solved the problem that the brain MRI data only has the T2 modality and the other three modalities are missing. The data synthesis of the missing modal I data was completed, and the missing modal data of Flair, T1, and T1ce were completed, and 10,685 pieces of data were generated for each group of modalities.</p>
Multimodality Imaging Assessment of Desmoid Tumors: The Great Mime in the Era of Multidisciplinary Team
<p>I uploaded the images of manuscript "Multimodality Imaging Assessment of Desmoid Tumors: The Great Mime in the Era of Multidisciplinary Team".</p>
Pipaset preview: A multimodal dataset for AMT and EA tasks dedicated to Chinese music instrument Pipa
<p>Yuancheng Wang, Yuyang Jing , Wei Wei, Dorian Cazau, Olivier Adam, Qiao Wang</p> <p>Accompanying <a href="http://github.com/yuanchengwang/TEAS">Website</a> here.</p> <p>If you make use of PipaSet for academic purposes, please cite the following publication:</p> <blockquote> <p>PipaSet and TEAS: A Multimodal Dataset and Annotation Platform for Automatic Music Transcription and Expressive Analysis dedicated to Chinese Traditional Plucked String Instrument Pipa. IEEE ACCESS 2022.</p> </blockquote> <p>This project was led by Yuancheng Wang at Information School of Information Science and Engineering, Southeast University, China, along with my supervisor Prof. Qiao Wang from same school and Dr. Yuyang Jing from Nanjing University of the Arts, Wei Wei form Xiaozhuang University, Dr. Dorian Cazau from Institute of Mines-Télécom Atlantique in Brest France, Prof. Olivier Adam from Sorbonne University.</p> <p>We present PipaSet, a dataset that provides multimodal pipa recordings alongside a high diversity of annotations for Automatic Music Transcription and Expressive Analysis tasks, including note, pitch contours, string and fret positions, and playing techniques. </p> <p>More information will be coming soon to cover more pieces of music played by pipa. </p>
VIMA: General Robot Manipulation with Multimodal Prompts
<p>VIMA dataset for learning general robot manipulation with multimodal prompts.</p>
Speckle Images for Single-Pixel Multimode Fiber Spectrometer
<p>** General Information ** </p> <p>- Dataset includes 2500 speckle images of size 256x320 used to calibrate the system</p> <p>- Dataset includes 2500 speckle images of size 256x320 used to test the system</p> <p>- 50 wavelengths between 1549.750 nm and 1550.240 nm are used in the measurements</p> <p>- The separation between the consecutive wavelengths is 10 pm</p> <p><br> ** FOLDER: calibration_data **</p> <p>- This folder consists of the speckle images used to construct the calibration matrix</p> <p>- "calibration_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p> <p><br> ** FOLDER: test_data **</p> <p>- This folder consists of the speckle images used to test the system in the reconstruction step</p> <p>- "test_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p>
Leverage Points in Modality shifts: Comparing Language-only and Multimodal Word Representations
<p>Dataset for the blind submission of Leverage Points in Modality shifts: Comparing Language-only and Multimodal Word Representations paper</p>
Supplementary material - Label-free multimodal nonlinear optical microscopy reveals hallmarks of bone composition in pathophysiological conditions
<p>The repository features Excel worksheets including all the data used through this work and reported in the manuscript figures and graphs. More precisely, we included the following: </p> <ul> <li>Figure 4. SHG intensity values measured from WT and KO murine spines counterparts, both in parallel and orthogonal light polarization with respect to the craniocaudal axis of the vertebrae.</li> <li>Figure 5A. Quantization of ColIa1 gene expression level after mRNA extraction from WT and Dpp3 KO mice.</li> <li>Figure 5B. Absorbance values at 540 nm after Sirius Red staining of primary osteoblast isolated from WT and Dpp3 KO neonatal calvaria, used to assess and compare the in-vitro collagen production of the two murine models.</li> <li>Figure 7. SRS intensity ratios measured between bone and bone marrow regions of WT and Dpp3 KO models, both at the 2850 cm-1 Raman mode of CH2 stretching in lipids and at the 2920 cm-1 Raman mode of CH3 stretching in proteins.</li> <li>Figure 8. Data of gene expression analysis of selected genes relevant for lipid transport, uptake, and metabolism (i.e., CD 36, Fabp4, Lrp1, Fatp1, PGC1, CPT1, Pex7 and Glut1), in the flushed bone of WT and Dpp3 KO mice.</li> </ul>
Multimodal Fish Feeding Intensity Assessment dataset part 2
<p>Multimodal Fish Feeding Intensity Assessment in Aquaculture (The paper you can find on Arxiv: <a href="https://arxiv.org/pdf/2309.05058.pdf" rel="nofollow">https://arxiv.org/pdf/2309.05058.pdf</a>) </p>
Dataset and scripts for "Multimode characterization of an optical beam deflection setup"
<p>The main files are the following :</p> <p><strong>Multimode_characterization_of_an_optical_beam_deflection_setup.pdf </strong>is the preprint of the article.</p> <p><strong>flexion_analysis.m</strong> is a Matlab script which analyses the amplitudes and frequencies of the contrasts corresponding to deflexion modes of the cantilever and stored in flexion_data.mat to compute the OBD spot position and size, and plot Figs. 3a, 3b, and 5b of the article.<br><strong>torsion_analysis.m</strong> is a Matlab script which analyses the amplitudes and frequencies of the contrasts corresponding to torsion modes of the cantilever and stored in flexion_data.mat to compute the OBD spot position and size, and plot Figs. 3c, 3d, and 5c of the article.<br><strong>ModeNumberStudy.m</strong> is a Matlab script which creates Fig. 4 of the article.</p> <p>All other matlab scripts and mat files are dependecies, their use is commented in the main scripts.</p> <p> </p>
Aprendizaje Multimodal en la Educación Universitaria desde un Enfoque Andragógico
<p><span>El estudio tiene el propósito de dilucidar los fundamentos del aprendizaje multimodal en la educación universitaria bajo un enfoque andragógico, estableciendo una vinculación con la formación de competencias, los estilos de aprendizaje y los principios andragógicos, para desarrollar estrategias multimodales en los ambientes de aprendizaje universitario. La metodología aplicada se enmarcó en el enfoque cualitativo, con un diseño documental apoyado en la técnica de revisión sistemática de diversos trabajos de investigación publicados en revistas indexadas en plataformas como Scopus, Scielo, Latindex, Redalyc, Dialnet, entre otras. El análisis de la información documental se basó en el método hermenéutico-critico, estableciendo unidades de análisis, como punto de partida para derivar categorías emergentes. En este sentido, los hallazgos de la investigación resaltaron la necesidad de fundamentar un esquema flexible en la educación universitaria, que haga posible conjugar diversas formas de aprender en un ambiente de aprendizaje multimodal, para el desarrollo de las competencias cognitivas, creativas y comunicativas. En conclusión, la perspectiva multimodal bajo un enfoque andragógico está ligada a diversos enfoques de aprendizaje fundamentados por distintos aportes disciplinarios, orientados hacia el desarrollo de las competencias del ser humano, lo que permite al aprendiente ser responsable de su propio proceso formativo hacia la búsqueda del conocimiento, según las capacidades de cada quien y las necesidades de cada cual.</span></p>
Multimodal contrastive learning for spatial gene expression prediction using histology images
<p>we employed two human breast cancer datasets and one human cutaneous squamous cell carcinoma (cSCC) dataset.</p>
Multimodal omics data fusion for cancer prognosis with co-attention-based variational autoencoder
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Data associated to the study entitled:"Alterations of the nigrostriatal pathway in a 6-OHDA rat model of Parkinson's disease evaluated with multimodal MRI"
<p>Parkinson’s disease is characterized by neurodegeneration of the dopaminergic neurons in the substantia nigra pars compacta. The 6-hydroxydopamine (6-OHDA) rat model has been used to study neurodegeneration in the nigro-striatal dopaminergic system. The goal of this study was to evaluate the reliability of diffusion MRI and resting-state functional MRI biomarkers in monitoring neurodegeneration in the 6-OHDA rat model assessed by quantitative histology.</p> <p>We performed a unilateral injection of 6-OHDA in the striatum of Sprague Dawley rats to produce retrograde degeneration of the dopamine neurons in the substantia nigra pars compacta. We carried out a longitudinal study with a multi-modal approach combining structural and functional MRI together with quantitative histological validation to follow the effects of the lesion. Functional and structural connectivity were assessed in the brain of 6-OHDA rats and sham rats (NaCl injection) at 3 and 6 weeks post-lesioning using resting-state functional MRI and diffusion-weighted.</p> <p>The shared datafile corresponds to the MRI biomarkers extracted from diffusion and functional acquisitions as well as from histological mesaurements within striatum and substantia nigria.</p>
Nondestructive Fatigue Life Prediction for Additively Manufactured Metal Parts through a Multimodal Transfer Learning Framework
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A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer
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Appendix A for the paper title : ArtInsight: A Multimodal AI Framework for Interpreting Children's Drawings and Enhancing Emotional Understanding
<p> Appendix A in this paper includes the specific prompt used for annotating the children's drawings with ChatGPT. This prompt was meticulously designed to ensure that the AI generated consistent and relevant descriptions and assessment reports for each image. The prompt guides the AI to focus on several key areas:</p> <ul> <li><strong>Description of the Artwork</strong>: Encouraging a detailed observation of the visual elements in the drawing, such as colors, shapes, figures, and any notable features.</li> <li><strong>Psychological Interpretation</strong>: Guiding the AI to interpret the possible emotional and psychological themes represented in the artwork based on the visual cues.</li> <li><strong>Possible Emotional Themes</strong>: Identifying underlying emotions or feelings that the child might be expressing through their drawing.</li> <li><strong>Recommended Interventions</strong>: Suggesting appropriate actions or conversations that therapists, educators, or parents could initiate to support the child's emotional well-being.</li> </ul>
Distinct neural population code and causal roles of primate caudate nucleus in multimodal decision-making
<p>To replicate the results in the paper, you should:</p> <ol> <li>Download and then gunzip the dataset.</li> <li>Download the analysis code at https://github.com/ZacZeng/CN-causally-contributes-to-MSDM.</li> <li>Run code as the README in Git says to get figures in the preprint paper (<a href="https://www.biorxiv.org/content/10.1101/2024.09.03.610907v1">Distinct neural manifolds and critical roles of primate caudate nucleus in multimodal decision-making | bioRxiv</a>).</li> </ol>
Dataset for "Multimodal Translation in YouTube Shorts from Spanish Football Teams"
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Impact of Multimodal Freight Network on Private Sector Global Distribution
<p>Data for FERSC Year 1 Project 4: Impact of Multimodal Freight Network on Private Sector Global Distribution</p>
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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.