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118 results for “streamlines”
Fig. 5 in A non-avian dinosaur with a streamlined body exhibits potential adaptations for swimming
Fig. 5 Life reconstruction of Natovenator polydontus (Artwork by Yusik Choi). The reconstruction shows the proposed swimming behaviour of Natovenator polydontus.
Fig. 4 in A non-avian dinosaur with a streamlined body exhibits potential adaptations for swimming
Fig. 4 Body plan of Natovenator polydontus (MPC-D 102/114, holotype) and dorsal rib morphology of various diving birds and terrestrial taxa. a Dorsal series of Natovenator in ventral view. b Reconstruction of dorsal vertebrae and ribs of Natovenator in left lateral view. c Skeletal reconstruction of Natovenator with missing parts in dark grey. d–i Dorsal rib morphology of Natovenator (d), diving birds (e–i), common ostrich (j), and Shri devi, a likely terrestrial dromaeosaurid from the Baruungoyot Formation (k) in ventral view (not to scale). l Reconstruction of the fourth dorsal vertebra with corresponding ribs in anterior view. d2 second dorsal vertebra, r2 second dorsal rib, r3 third dorsal rib, r4 fourth dorsal rib.
Fig. 3 in A non-avian dinosaur with a streamlined body exhibits potential adaptations for swimming
Fig. 3 Postcranial elements and phylogenetic position of Natovenator polydontus (MPC-D 102/114, holotype). a Anterior cervical vertebrae in left lateral view. b Axis and third cervical vertebra in dorsal view. c Fourth cervical vertebra in dorsal view. d Posterior cervical vertebrae in right lateral view. e Dorsal series in right lateral view. f Anterior caudal vertebrae in right lateral view. g Left forearm elements in medial view and manus in ventral view. h Right foot in ventral view. i Phylogenetic position of Natovenator in Dromaeosauridae. Numbers at each node indicate Bremer support values. at atlas, c3 third cervical vertebra, c4 fourth cervical vertebra, c7 seventh cervical vertebra, c9 ninth cervical vertebra, ch chevron, d7 seventh dorsal vertebra, fem femur, mc I metacarpal I, mt III metatarsal III, mt IV metatarsal IV, poz postzygapophysis, prz prezygapophysis, r radius, r7 seventh dorsal rib, ul ulna, I-2 pedal phalanx I-2.
Fig. 2 in A non-avian dinosaur with a streamlined body exhibits potential adaptations for swimming
Fig. 2 Skull of Natovenator polydontus (MPC-D 102/114, holotype). a–d Skull in left lateral (a), right lateral (b), dorsal (c), and ventral (d) views. e µCTrendered image sliced at the point marked on a, showing a cross-section of the premaxillary and anterior maxillary teeth in dorsal view. f Micro-computed tomography (µCT) rendered image of the occipital region in posterior view. g µCT-rendered image of the pterygoid and quadrate.?bm possible bite mark, d dentary, f frontal, h humerus, l lacrimal, m5 5th maxillary tooth, mx maxilla, na nasal p parietal, p13 13th premaxillary tooth, pl palatine, pm premaxilla, pop paroccipital process, pt pterygoid, q quadrate, rt replacement tooth, sq squamosal, so supraoccipital.
FIGURE 1 The Senckenberg model for a streamlined taxonomy workflow involving a in Why is there no service to support taxonomy?
FIGURE 1 The Senckenberg model for a streamlined taxonomy workflow involving a commercial service that covers transferable technical aspects of species descriptions. This figure was designed using icons from Flaticon.com.
COREQ checklist: Focus group for 'Streamlining Concept Mapping for Clinical Data Enrichment: A Process-focused approach in medical Data Warehouses'
<p>Presentation of the 32 items on the consolidated criteria for reporting qualitative research (COREQ) checklist. The information is used for the report on a focus group that was conducted as part of the preparation of a publication. The title of the article is (as of submission on 18.03.2024): 'Streamlining Concept Mapping for Clinical Data Enrichment: A Process-focused approach in Medical Data Warehouses'.</p>
Research Space and DMPTool - Streamlining the research lifecycle and enhancing FAIR principles with a series of interoperable tools
<p>A video demonstration of the integration between the Electronic Lab Notebook, RSpace, and the DMPTool. Presented at the FORCE11 annual conference on December 7, 2021.</p>
Demo dataset for: SPACEc, a streamlined, interactive Python workflow for multiplexed image processing and analysis
<p>Multiplexed imaging technologies provide insights into complex tissue architectures. However, challenges arise due to software fragmentation with cumbersome data handoffs, inefficiencies in processing large images (8 to 40 gigabytes per image), and limited spatial analysis capabilities. To efficiently analyze multiplexed imaging data, we developed SPACEc, a scalable end-to-end Python solution, that handles image extraction, cell segmentation, and data preprocessing and incorporates machine-learning-enabled, multi-scaled, spatial analysis, operated through a user-friendly and interactive interface.</p> <p>The demonstration dataset was derived from a previous analysis and contains TMA cores from a human tonsil and tonsillitis sample that were acquired with the Akoya PhenocyclerFusion platform. The dataset can be used to test the workflow and establish it on a user's system or to familiarize oneself with the pipeline.</p>
Dataset and R code support the manuscript titled "Streamlining Linear Free Energy Relationships of Proteins through Dimensionality Analysis and Linear Modeling"
<p>This dataset and R code support the manuscript titled "Streamlining Linear Free Energy Relationships of Proteins through Dimensionality Analysis and Linear Modeling" submitted to the Journal of Chemical Information and Modeling.</p> <p>Table S 1: Chemicals with their experimental values of logKch , and values of logKow and<span> </span>logKaw used to calibrate chicken muscle protein-water 2p-LFER model.</p> <p>Table S 2: Chemicals with their experimental values of logKfish and values of logKow and<span> </span>logKaw used to calibrate fish muscle protein-water 2p-LFER model.</p> <p>Table S 3: Chemicals with their experimental values of logKBSA and values of logKow and<span> </span>logKaw used to calibrate bovine serum albumin-water 2p-LFER model.</p> <p>Table S 4: Chemicals with their experimental values of logKpw and values of logKow and<span> </span>logKaw used to calibrate combined chicken and fish muscle protein-water 2p-LFER model.</p> <p>Table S 5: Diversity of data for logKpw.</p> <p>Table S 6: Diversity of data for logKBSA.</p> <p>Table S 7: Comparison of Experimental and 2p-LFER Predicted Partition Coefficients for ionizable PFAS Compounds.</p> <p>Table S 8: List of neutral fluorotelomer PFAS Compounds.</p> <p>Table S 9: List of experimental in vivo and in vitro partitioning data for different tissues and species.</p> <p>Table S 10: List of experimental Milk-water partition coefficient and predicted values of Milk-water partitioning.</p> <p>Table S 11: Training set for logKpw</p> <p>Table S 12: Validation set for log Kpw</p> <p>Table S 13: Training set for log KBSA</p> <p>Table S 14: Validation set for log KBSA</p>
A streamlined approach for fluorescence labelling of low copy-number plasmids for determination of conjugation frequency by flow cytometry
<p><span>Bacterial conjugation plays a major role in the dissemination of antibiotic resistance and virulence traits through horizontal transfer of plasmids. </span>Robust <span>measurement</span> of<span> the conjugation frequency of plasmids between bacterial strains and species </span>is therefore important <span>to understand the transfer dynamics </span>and epidemiology <span>of conjugative plasmids. In this study, we present a streamlined experimental approach for fluorescence labelling of low copy-number conjugative plasmids that allows plasmid transfer frequency during filter mating to be measured by flow cytometry. A blue fluorescence gene is inserted into a conjugative plasmid of interest using a simple homologous recombineering procedure. </span><span>A small non-conjugative plasmid, which carries a red fluorescence gene with a toxin-antitoxin system that functions as a plasmid stability module, is used to label the recipient bacterial strain. This offers the dual advantage of circumventing chromosomal modifications of recipient strains and ensuring that the red fluorescence gene-bearing plasmid can be stably maintained in recipient cells in an antibiotic-free environment during conjugation. A strong constitutive promoter allows the two fluorescence genes to be strongly and constitutively expressed from the plasmids, thus allowing flow cytometers to clearly distinguish between donor, recipient and transconjugant populations in a conjugation mix for monitoring conjugation frequencies more precisely over time. </span></p>
Tryps-IN: A streamlined palaeoproteomics workflow enables ZooMS analysis of 10,000-year-old petrous bones from Jordan rift-valley
<p>Poor preservation of collagen in dry and/or arid environments has hindered the application of Zooarchaeology by mass spectrometry (ZooMS) analysis in many regions of the world, and as a result many zooarchaeological investigations have relied exclusively on the morphological assessment of fragmentary remains, due to the inadequate preservation of biomolecules. The climatic conditions of Southwest Asia include extreme temperature fluctuations unconducive to preservation of proteins and DNA. We performed zooarchaeological analysis of remains from the 10,000-year-old site of Shkārat Msaied in Jordan and sub-sampled twenty-eight petrous bones, the hardest bone in the mammalian skeleton, for species identification by ZooMS. Using an unconventional and simplified extraction protocol we call Tryps-IN, in which digestion was performed without removal of the demineralising EDTA, we taxonomically identified several fragments, outperforming the established ZooMS work-flow. A subset of identifications was subsequently confirmed using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) protein sequencing. The new methodology presented here opens the possibility of further bioarchaeological investigation of other fragmentary faunal assemblages within this region of archaeological significance. </p>
Use of Mobile Devices and the Internet to Streamline an Asthma Clinical Trial
ClinicalTrials.gov study NCT02061280. IPD Sharing: YES. Countries: 1. Publications: 3.
A streamlined approach for fluorescence labelling of low copy-number plasmids for determination of conjugation frequency by flow cytometry
Open the record for dataset details and reuse information.
Demo dataset for: SPACEc, a streamlined, interactive Python workflow for multiplexed image processing and analysis
Open the record for dataset details and reuse information.
MEDI: Macronutrient Extraction and Determination from Invertebrates, a rapid, cheap and streamlined protocol
<p>Macronutrients, comprising carbohydrates, proteins and lipids, underpin many ecological processes, but their quantification in ecological studies is often inaccurate and laborious, requiring large investments of time and bulk samples, which make individual-level studies impossible. This study presents MEDI (Macronutrient Extraction and Determination from Invertebrates), a protocol for the direct, rapid and relatively low-cost determination of macronutrient content from single small macroinvertebrates.</p> <p>Macronutrients were extracted by a sequential process of soaking in 1:12 chloroform:methanol solution to remove lipid and then solubilizing tissue in 0.1 M NaOH. Proteins, carbohydrates and lipids were determined by colorimetric assays from the same individual specimens.</p> <p>The limits of detection of MEDI with the equipment and conditions used were 0.067 mg ml-1, 0.065 mg ml-1 and 0.006 mg ml-1 for proteins, carbohydrates and lipids, respectively. Adjusting the volume of reagents used for extraction and determination can broaden the range of concentrations that can be detected. MEDI successfully identified taxonomic differences in macronutrient content between five insect species.</p> <p>MEDI can directly and rapidly determine macronutrient content in tiny (dry mass ~3 mg) and much larger individual invertebrates. Using MEDI, the total macronutrient content of over 50 macroinvertebrates can be determined within around three days of collection at a cost of ~$1.35 per sample.</p>
Tractography derived quantitative estimates of tissue microstructure depend on streamline length: A characterization and method of adjustment.
<p>In respect of the brain imaging files upon which these analyses are based, three participants provided consent for their exemplar, pseudo-anonymised, data to be placed in the public domain. The example R code can be used to analyse these data.</p>
Supporting data for: "mtGrasp: Streamlined mitochondrial genome reference-grade assembly and standardization to enhance mitogenome resources and improve the development of environmental DNA assays"
<p>Here, we provide supporting data for the manuscript "mtGrasp: Streamlined mitochondrial genome reference-grade assembly and standardization to enhance mitogenome resources and improve the development of environmental DNA assays".</p> <p>Phylogenetic_analysis.tar.gz contains the script and fasta files used for the phylogenetic analysis, and Mitogenomes.tar.gz contains the mitochondrial sequences utilized that are not publicly available in GenBank.</p>
Dataset: Active learning streamlines development of high performance catalysts for higher alcohol synthesis
<p>In this repository there are five Excel files, three Jupyter notebook files, and a zip archive containing Origin files. </p> <p>The Full_catalytic_performance_data.xlsx file comprises all the experimental and computational catalytic data complied as a part of the research work titled "Active learning streamlines development of high performance catalysts for higher alcohol synthesis" carried out at the Advanced Catalysis Engineering group, ETHZ. The Source_data.xlsx file and .opju files contain the raw data used to create the display items in the manuscript.</p> <p>The repository contains three additional files "Modelling_Data_Phase_1.xlsx", "Modelling_Data_Phase_2.xlsx", "Modelling_Data_Phase_3.xlsx" which contain the curated data to run the Gaussian process -Bayesian Optimization algrotihm across three specific active learning Phases devised in this study. The python codes necessary to run the model are provided as Jupyter Notebook (.ipynb) files and are also available on GitHub in the link provided below.</p>
HCP Streamline Dataset (899855)
<p>The dataset contains the processed stereamlines for HCP data ID: 899885, with 72 pre-defined bundle types.</p>
Valar: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning
<p>static analysis alarm data</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.