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1,102 results for “human use”
Figure 3 in Identification of Megaselia scalaris (Loew, 1866) (Diptera: Phoridae) in mummified human body from Itacambira (MG), Brazil, using scanning electron microscopy and cuticular hydrocarbons
Figure 3. Scanning electron microscopy of the puparium of Megaselia scalaris from a male mummy from Itacambira, Minas Gerais, Brazil: (A, B) Detailed view of the posterior spiracle, containing four openings arranged in parallel; (C, D) detail of the small tubercles located on the dorsal surface of the puparium.
Figure 2 in Identification of Megaselia scalaris (Loew, 1866) (Diptera: Phoridae) in mummified human body from Itacambira (MG), Brazil, using scanning electron microscopy and cuticular hydrocarbons
Figure 2. Scanning electron microscopy of the puparium of Megaselia scalaris from a male mummy from Itacambira, Minas Gerais, Brazil. (A) Overview (dorsal) of the puparium of Megaselia scalaris with the opening for adult emergence; (B) posterior spiracles (one pair), located at the posterior end of the puparium.
Figure 1 in Identification of Megaselia scalaris (Loew, 1866) (Diptera: Phoridae) in mummified human body from Itacambira (MG), Brazil, using scanning electron microscopy and cuticular hydrocarbons
Figure 1. Male mummy from Itacambira, Minas Gerais, Brazil. (A) Opening of the abdominal cavity of the mummy; (B) puparia of Megaselia scalaris (arrow) adhered to a rib (photographs by S. Novo).
Label-free imaging of M1 and M2 macrophage phenotypes in the human dermis in vivo using two-photon excited FLIM
<p>Macrophages (ΜΦs) are important immune effector cells that promote (M1 ΜΦs) or inhibit (M2 ΜΦs) inflammation and are involved in numerous physiological and pathogenic immune responses. Their precise role and relevance, however, are not fully understood for lack of non-invasive quantification methods. Here, we show that two-photon excited fluorescence lifetime imaging (TPE-FLIM), a label-free non-invasive method, can visualize ΜΦs in the human dermis in vivo. We demonstrate in vitro that human dermal ΜΦs exhibit specific TPE-FLIM properties that distinguish them from the main components of the extracellular matrix and other dermal cells. We visualized ΜΦs, their phenotypes and phagocytosis in the skin of healthy individuals in vivo using TPE-FLIM. Additionally, machine learning identified M1 and M2 MФs with a sensitivity of 0.88±0.04 and 0.82±0.03 and a specificity of 0.89±0.03 and 0.90±0.03, respectively. In clinical research, TPE-FLIM can advance the understanding of the role of MФs in health and disease.</p>
High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors
<p>Data to reproduce figures in submitted manuscript "High-dimensional multivariate autoregressive model estimation of<br> human electrophysiological data using fMRI priors"</p> <p>https://www.biorxiv.org/content/10.1101/2022.11.18.516669v1</p>
Fcs files used in "Unravelling human hematopoietic progenitor cell diversity through association with intrinsic regulatory factors"
<p>Mass cytometry data from the manuscript, "Unravelling human hematopoietic progenitor cell diversity through association with intrinsic regulatory factors". This repository contains singlet-gated, viable, CD45+, batch-corrected cells from tissue samples across three batches. BM=bone marrow, mPB=mobilized peripheral blood, FL=fetal liver, CB=cord blood. Each fcs files is a unique donor, except BM1, which was collected in each batch as a normalization control.</p>
Dataset associated with the study titled "Systematic discovery of regulatory motifs associated with human insulator sites" It includes data used for predicting insulator-associated DNA-binding proteins.
<p><strong>This dataset was used in the study on the prediction of insulator-associated DNA-binding proteins.</strong></p> <p>The three files included here are intended for use with the code available in the following GitHub repository:<br><a href="https://github.com/reposit2/insulator" target="_new" rel="noopener">https://github.com/reposit2/insulator</a></p> <p>To use the data, extract all three files and place them in the same directory as the code files.</p>
Human dermal microvascular arterial and venous blood endothelial cells and their use in bioengineered dermo-epidermal skin substitutes in vitro and in vivo
<p>The bio-engineering of vascular networks is pivotal to create complex tissues and</p> <p>organs in vitro for regenerative medicine applications. The vascular plexus is needed for a</p> <p>sufficient and fast blood supply after transplantation, and, thus, required for the survival and</p> <p>function of the engineered tissue or organ. Hence, human endothelial cells are an attractive</p> <p>source for bio-engineering purposes, for example human dermal microvascular endothelial</p> <p>cells (HDMECs).</p> <p>So far, a discrimination between arterial and venous blood endothelial cells after</p> <p>isolation of HDMECs from skin biopsies and if arterial and/or venous capillaries are formed in</p> <p>pre-vascularized bio-engineered substitutes was not investigated.</p> <p>In this study, we investigated employedby single cell sequencing for to</p> <p>investigate/compare human arterial and venous endothelial cell markers in human fetal and</p> <p>juvenile skin. Further, we analyzed if these markers are present after isolation of human skin</p> <p>derived endothelial cells under 2D culture conditions. In additionFinally, we investigated</p> <p>assessed if human endothelial cells form distinct arterial and venous capillaries in 3D</p> <p>collagen type I hydrogels, and if these capillaries retain their identity after transplantation.</p> <p>We determinedOur results showed that arterial and venous endothelial cell markers</p> <p>such as NRP1 and NR2F2 are expressed both in fetal and juvenile skin, and are retained after</p> <p>isolation in culture. We could show demonstrate that arterial and venous endothelial cells</p> <p>maintain their differentiation status and form arterial and venous capillaries in 3D in vitro</p> <p>culture systems and that the capillaries inosculate after transplantation.</p> <p>In summary, we could show that we could bio-engineer human arterial, venous, and</p> <p>lymphatic capillaries in a human skin substitute in view of regenerative medicine approaches</p> <p>for clinical applications.</p>
Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer
<h2><strong>Overview</strong></h2> <div>This artifact accompanies the APSEC 2025 Research Track submission on <em>Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer</em>. The research focuses on using Large Language Models (LLMs) with local neighborhood sampling with in-context learning to provide explanations for GraphCodeBERT's code clone detection predictions.</div> <p> </p> <h2>Artifact Contents</h2> <h3>1. Core Implementation</h3> <div> <ul> <li> GraphCodeBERT_CloneDetection.ipynb: Complete Jupyter notebook containing: <ul> <li>GraphCodeBERT model setup and training</li> <li>Code clone detection experiments on BigCloneBench and Google Code Jam datasets</li> <li>In-Context Learning prompt generation for explanation</li> <li>LLM-based explanation pipeline</li> </ul> </li> </ul> </div> <h3>2. In-Context Learning Prompts (ICL_Prompts)</h3> <div>The ICL_Prompts directory contains structured prompts for 10 different Google Code Jam pairs (data_GoogleCodeJam_Pair1 through data_GoogleCodeJam_Pair10) used in the manual validation step, each with varying context lengths:</div> <ul> <li>layer_size4.txt: prompts with 4 examples</li> <li>layer_size8.txt: prompts with 8 examples</li> <li>layer_size16.txt: prompts with 16 examples</li> <li>layer_size32.txt: prompts with 32 examples</li> <li>layer_size48.txt: prompts with 48 examples</li> <li>layer_size64.txt: prompts with 64 examples</li> </ul> <div>Each prompt file is based on the prompt template structure:</div> <ul> <li><strong>Context:</strong> Description of GraphCodeBERT model</li> <li><strong>Dataset:</strong> Examples with code pairs, confidence scores, and predictions</li> <li><strong>Question:</strong> A query asking for explanation of a specific code pair</li> <li><strong>Instructions</strong> for generating explanations</li> </ul> <h3>3. Validation Results</h3> <div> <ul> <li>Manual_Validation_Results.xlsx: Manual evaluation results of generated explanations including quality assessments and human annotations.</li> </ul> </div> <h2>Usage Instructions</h2> <h3>Prerequisites</h3> <div><code>pip install torch transformers tree_sitter scikit-learn</code></div> <div> </div> <h3>Running the Code</h3> <ol> <li>Open `GraphCodeBERT_CloneDetection.ipynb` in Jupyter/Colab</li> <li>Follow the notebook cells to: <ol> <li>Set up the GraphCodeBERT model</li> <li>Load and preprocess datasets</li> <li>Run clone detection experiments</li> <li>Generate prompts for explanation</li> </ol> </li> </ol> <h3>File Organization</h3> <div><code>├── GraphCodeBERT_CloneDetection.ipynb # Main implementation</code></div> <div><code>├── Manual_Validation_Results.xlsx # Human evaluation results</code></div> <div><code>├── ICL_Prompts/ # Generated prompts</code></div> <div><code>│ ├── data_GoogleCodeJam_Pair1/ # Pair 1 prompts</code></div> <div><code>│ │ ├── layer_size4.txt # 4-example prompts</code></div> <div><code>│ │ ├── layer_size8.txt # 8-example prompts</code></div> <div><code>│ │ └── ... # Other sizes</code></div> <div><code>│ ├── data_GoogleCodeJam_Pair2/ # Pair 2 prompts</code></div> <div><code>│ └── ... # Additional pairs</code></div> <div><code>└── README.md # This file</code></div> <h3>Citation</h3> <div>Please cite this artefact using the DOI provided by Zenodo.</div> <h3>Contact</h3> <div>For questions about this artifact or research, please contact the authors [to be updated due to double-blind policy].</div>
Human Placenta Extract Use in Socket Preservation
ClinicalTrials.gov study NCT06915675. IPD Sharing: NO. Countries: 1. Publications: 4.
Concomitant Use of Gardasil (V501, Human Papillomavirus [Types 6, 11, 16, 18] Recombinant Vaccine) With Combined Diptheria, Tetanus, Pertussis and Poliomyelitis Vaccine in Adolescents (V501-024)(COMPL
ClinicalTrials.gov study NCT00337428. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Use of Human Fibrin Glue Versus Staples for Mesh Fixation in Laparoscopic Transabdominal Preperitoneal Hernioplasty
ClinicalTrials.gov study NCT01641718. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Modulating Pain Using Transcranial Alternating Stimulation (tACS) in Healthy Human Subjects
ClinicalTrials.gov study NCT03805854. IPD Sharing: YES. Countries: 1. Publications: 12.
Investigation of Oscillations Underlying Human Cognitive and Affective Processing Using Intracranial EEG
ClinicalTrials.gov study NCT03268694. IPD Sharing: Not stated. Countries: 1. Publications: 12.
A Human Experimental Model for Neuropathic Pain Using Combined Application of Capsaicin and Local Anesthetics
ClinicalTrials.gov study NCT01540877. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Concomitant Use of Gardasil (V501) (Human Papillomavirus [Types 6, 11, 16, 18] Recombinant Vaccine) With Combined Diphtheria, Tetanus, Pertussis Vaccine and Meningococcal Conjugate Vaccine in Adolesce
ClinicalTrials.gov study NCT00325130. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Use of Human Milk Cream to Decrease Length of Stay in Extremely Premature Infants
ClinicalTrials.gov study NCT02475434. IPD Sharing: Not stated. Countries: 2. Publications: 13.
Immunotherapy Using Pluripotent Killer-Human Epidermal Growth Factor Receptor-2 (PIK-HER2) Cells for the Treatment of Advanced Gastric Cancer With Liver Metastasis
ClinicalTrials.gov study NCT02632201. IPD Sharing: Not stated. Countries: 1. Publications: 26.
The Post-Marketing Safety and Immunogenicity Research of Speeda® Rabies Vaccine for Human Use
ClinicalTrials.gov study NCT01821911. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Identification of Viable Human Embryos Using Three Different Methods
ClinicalTrials.gov study NCT01139268. IPD Sharing: Not stated. Countries: 1. Publications: 5.
ScienceDex guides
Understand access before you commit
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.