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2,373 results for “Platform”
Data from social learning development, during COVID-19 how international students use media platforms as crowdsource technology to solve learning difficulties
<p>This study lens cannot detach mobile-learning communication from efficient broadband, during social distance protocol, for continuous learning. The study aims to self-actualized knowledge-sourcing among individuals in an interconnected cluster of multi-community platforms. Crowdsource is characterized by a communication science perspective using mobile-learning in groups and/or clusters. Integrated TPB and Bandura's Social Learning Theory (SLT) induced and investigated 361 respondents, stratified of students, teachers, and researchers during the COVID-19. The IBM Amos v. 25 for the analysis found R² = 0.92 and (65.4, 34.6) for male and female demographic respectively. Results found significant direct and indirect Attitude, Self-learner usefulness, and crowdsource were positive to actual performance. Where broadband moderated on mobile learning behavior run-up significantly. Mobile learning mediation gives in magnificent interactive operation. Generally, crowdsource at the individual level enhanced collaborated problem-solving tasks pro-COVID-19. An Individual's sourcing knowledge is a creative task and timely routine learning in any critical period. Results suggested mobility of learning makes a mountain of molehills in knowledge interactivity among learners in groups. Therefore, encourages the clustering of network learning, easing learning, through effective broadband social intervention phenomena.</p>
Lorentzian filter correction of turbulence measurements on oscillating floating platforms: impact on wind spectra and eddy covariance fluxes
<p class="MsoTitle">Turbulence and eddy covariance measurements on a floating platform over water surfaces can be contaminated by platform oscillations, which may affect the calculated air–water exchange. The conventional method for decontamination of the platform oscillations from the wind velocity measurements requires the installation of an additional sensitive, and often costly, motion sensor. This paper examines a new mathematical decontamination method, termed Lorentzian filter, which avoids the need for such an instrument. The method, based on the Lorentzian function, capitalizes on the pseudo-harmonic behavior of the platform oscillations and reduces the amplitude of turbulent wind velocity data detected as artifacts at the specific natural frequencies of the platform. The Lorentzian filter was applied to wind velocity data measured by sonic anemometer and eddy covariance system over the Dead Sea, Israel, for 30 days. We examined three approaches of dealing with motion contamination: Lorentzian filter decontamination, motion sensor decontamination, and non-filtered raw wind velocity. Using the 3D wind velocity series, we examined the wind spectra, the co-spectra of water vapor concentration and horizontal wind speed with vertical wind speed and H2O and momentum fluxes. The Lorentzian filter performed very well in decontaminating the wind spectrum, meaning that it efficiently identified the contamination in the natural oscillation frequency and returned a decontaminated wind velocity time series. The co-spectra and fluxes were less prone to the contamination of platform oscillations, presumably due to low correlations between the spurious wind velocity components and other measured scalars, such as water vapor.</p>
Data from: Cross-platform compatibility of de novo-aligned SNPs in a non-model butterfly genus
High-throughput sequencing methods for genotyping genome-wide markers are being rapidly adopted for phylogenetics of non-model organisms in conservation and biodiversity studies. However, the reproducibility of SNP genotyping and degree of marker overlap or compatibility between datasets from different methodologies have not been tested in non-model systems. Using double-digest restriction site associated DNA sequencing, we sequenced a common set of 22 specimens from the butterfly genus Speyeria on two different Illumina platforms, using two variations of library preparation. We then used a de novo approach to bioinformatic locus assembly and SNP discovery for subsequent phylogenetic analyses. We found a high rate of locus recovery despite differences in library preparation and sequencing platforms, as well as overall high levels of data compatibility after data processing and filtering. These results provide the first application of NGS methods for phylogenetic reconstruction in Speyeria, and support the use and long-term viability of SNP genotyping applications in non-model systems.
Data from: Towards a self-updating platform for estimating rates of speciation and migration, ages, and relationships of taxa
Rapidly growing biological data –including molecular sequences and fossils– hold an unprecedented potential to reveal how evolutionary processes generate and maintain biodiversity. However, researchers often have to develop their own idiosyncratic workflows to integrate and analyse these data for reconstructing time-calibrated phylogenies. In addition, divergence times estimated under different methods and assumptions, and based on data of various quality and reliability, should not be combined without proper correction. Here we introduce a modular framework termed SUPERSMART (Self-Updating Platform for Estimating Rates of Speciation and Migration, Ages, and Relationships of Taxa), and provide a proof of concept for dealing with the moving targets of evolutionary and biogeographical research. This framework assembles comprehensive datasets of molecular and fossil data for any taxa and infers dated phylogenies using robust species tree methods, also allowing for the inclusion of genomic data produced through next-generation sequencing techniques. We exemplify the application of our method by presenting phylogenetic and dating analyses for the mammal order Primates and for the plant family Arecaceae (palms). We believe that this framework will provide a valuable tool for a wide range of hypothesis-driven research questions in systematics, biogeography, and evolution. SUPERSMART will also accelerate the inference of a "Dated Tree of Life" where all node ages are directly comparable.
A High-Throughput Microfluidic Platform for Mammalian Cell Transfection and Culturing
<p>Mammalian synthetic biology could be augmented through the development of high-throughput microfluidic systems that integrate cellular transfection, culturing, and imaging. We created a microfluidic chip that cultures cells and implements 280 independent transfections at up to 99% efficiency. The chip can perform co-transfections, in which the number of cells expressing each protein and the average protein expression level can be precisely tuned as a function of input DNA concentration and synthetic gene circuits can be optimized on chip. We co-transfected four plasmids to test a histidine kinase signaling pathway and mapped the dose dependence of this network on the level of one of its constituents. The chip is readily integrated with high-content imaging, enabling the evaluation of cellular behavior and protein expression dynamics over time. These features make the transfection chip applicable to high-throughput mammalian protein and synthetic biology studies.</p>
Quantitative high sensitivity proteomics with the Orbitrap ASTRAL platform
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DEVELOPMENT OF PRACTICAL AND CREATIVE SKILLS THROUGH THE EGC (ENGINEERING GRAPHIC COURSE) PLATFORM AS AN EXAMPLE OF STUDENTS OF TECHNICAL HIGHER EDUCATION INSTITUTIONS
<p>This article describes the importance of the EGC (Engineering Graphics Course) platform in developing students' practical and creative skills in the design process and developing self-directed learning processes. Theoretical and practical results of the role of the EGC (Engineering graphic course) platform in the implementation of the design process are explained when students master it using modern graphics programs such as KOMPAS 3D V20.0.1., AutoCAD, SolidWorks, 3D Max.</p>
WORLD IN CREATING DIGITAL PLATFORMS USING EXPERIENCE
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ESG Scores for Equity Crowdfunding Platforms
<p>This file provides details on how ESG scores were created, and reports statistics on all variable employed in the analyses for the paper:</p> <p>Cumming, D., Meoli, M., Rossi, A., & Vismara, S. (2024). ESG and crowdfunding platforms. <em>Journal of Business Venturing</em>, <em>39</em>(1), 106362. </p> <p><span>This study was funded by the European Union - <em> NextGenerationEU</em>, in the framework of the <em>GRINS -Growing Resilient, INclusive and Sustainable</em> project (GRINS PE00000018 – CUP </span><strong><em>F83C22001720001</em></strong><span>). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them.</span></p>
Dataset for Cognitive and Relational Experience in Online Platforms: Scale Development and Validation (PLX)
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TABLE 1 in Preliminary account on the bryozoans of the Alboran platform (Western Mediterranean), with description of two new species
<p><b>TABLE 1.</b> List of sampling stations from the INDEmaRES- alboRaN project 2011 examined in this study.</p><table><tbody><tr><th><b>Station</b></th><th><b>Date</b></th><th><b>Position</b></th><th><b>Substrate</b></th><th><b>Depth (m)</b></th></tr></tbody><tbody><tr><th>BV12</th><td>23/09/2011</td><td>35°52.22’N – 03°05.21’W, 35°52.17’N – 03°05.38’W</td><td>Gravel</td><td>112–120</td></tr><tr><th>BV13</th><td>23/09/2011</td><td>35°52.38’N – 03°05.18’W, 35°52.82’N – 03°04.59’W</td><td>Gravel</td><td>95–99</td></tr><tr><th>BV14</th><td>23/09/2011</td><td>35°52.72’N – 03°04.67’W, 35°52.34’N – 03°05.26’W</td><td>Gravel</td><td>96–100</td></tr><tr><th>BV15</th><td>23/09/2011</td><td>35°52.67’N – 03°04.66’W, 35°52.90’N – 03°04.92’W</td><td>Gravel</td><td>96</td></tr></tbody></table>
Virus-based Colloidal Crystals for Advanced Material Platforms
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Building Customer Loyalty on Online Food Platforms: Sharing Economy Practices in Indonesia
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R code: Large-scale assessment of bird data quality in a citizen science platform
<p>R code archived to Zenodo for publication</p>
In-operando visualization of redox flow battery in membrane-free microfluidic platform
<p>The video files are raw data of in-operando visualization of MFRFB that correspond to figure 2.C,E in manuscript.</p>
AddictedChem: A comprehensive addictive compound knowledge base and integrated analysis platform
<p>Please refer to http://design.rxnfinder.org/addictedchem/prediction.</p>
Fedora4: The Open Linked Data Platform
<p>Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P1A: Linked Open Data (LOD). Note that high quality video files for this talk were not obtainable, so some video quality problems may be noticed.</p> <p>Linked Open Data has moved from being a buzzword to a fundamental building block of modern repositories and information systems. Its explosion, taking in this domain the form of scholarly and scientific datasets, publications, annotations, cultural heritage descriptions and other repository-based content, offers unprecedented opportunity for scientific and societal advancement. It is the interconnections that integrate systems and resources, however, that turn disparate ideas into unanticipated solutions.</p> <p>The Open Repositories community largely understands the value of linked data. The trouble has been in answering the question of “how?” to do this together, rather than "why?" do it at all. In order to be effective, we need to have solid guidelines, common practices, and well specified toolsets and products. A confluence of developments has opened the door to exactly this.</p> <p>In October of 2012, the initial W3C working draft of the Linked Data Platform 1.0 (LDP) document was published[2]. In July of 2012, the demand for a next-generation Fedora platform was channeled into the Fedora 4 (F4) project, which at the time was termed Fedora Futures. The alignment of these two stars set in motion events that provided both requirements and solutions for the community.</p>
Massively parallel measurements of molecular interaction kinetics on a microfluidic platform
<p>Quantitative biology requires quantitative data. No high-throughput technologies exist capable of obtaining several hundred independent kinetic binding measurements in a single experiment. We present an integrated microfluidic device (k-MITOMI) for the simultaneous kinetic characterization of 768 biomolecular interactions. We applied k-MITOMI to the kinetic analysis of transcription factor (TF)—DNA interactions, measuring the detailed kinetic landscapes of the mouse TF Zif268, and the yeast TFs Tye7p, Yox1p, and Tbf1p. We demonstrated the integrated nature of k-MITOMI by expressing, purifying, and characterizing 27 additional yeast transcription factors in parallel on a single device. Overall, we obtained 2,388 association and dissociation curves of 223 unique molecular interactions with equilibrium dissociation constants ranging from 2 × 10<sup>-6</sup> M to 2 × 10<sup>-9</sup> M, and dissociation rate constants of approximately 6 s<sup>-1</sup> to 8.5 × 10<sup>-3</sup> s<sup>-1</sup>. Association rate constants were uniform across 3 TF families, ranging from 3.7 × 10<sup>6</sup> M<sup>-1</sup> s<sup>-1</sup> to 9.6 × 10<sup>7</sup> M<sup>-1</sup> s<sup>-1</sup>, and are well below the diffusion limit. We expect that k-MITOMI will contribute to our quantitative understanding of biological systems and accelerate the development and characterization of engineered systems.</p>
Figure 1 from: Sturm U, Schade S, Ceccaroni L, Gold M, Kyba C, Claramunt B, Haklay M, Kasperowski D, Albert A, Piera J, Brier J, Kullenberg C, Luna S (2017) Defining principles for mobile apps and platforms development in citizen science. Research Ideas and Outcomes 3: e21283. https://doi.org/10.3897/rio.3.e21283
Figure 1 Definitions agreed by all participants in order to establish a common understanding for app, platform and portal and considering that the boundaries are not always clear and in some cases tools might act as a portal and a platform at the same time.
Figure 1 from: Sturm U, Schade S, Ceccaroni L, Gold M, Kyba C, Claramunt B, Haklay M, Kasperowski D, Albert A, Piera J, Brier J, Kullenberg C, Luna S (2018) Defining principles for mobile apps and platforms development in citizen science. Research Ideas and Outcomes 4: e23394. https://doi.org/10.3897/rio.4.e23394
Figure 1 Definitions in order to establish a common understanding for app, webpage, platform and portal and considering that the boundaries are not always clear and in some cases tools might act as a portal and a platform at the same time.
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.