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671 results for “Window”
Construction of Parallel Addition Algorithms by the Extending Window Method - results
<p>An algebraic number <span class="math-tex">\(\beta \in \mathbb{C}\)</span> with no conjugate of modulus 1 can serve as the base of a numeration system <span class="math-tex">\((\beta, \mathcal{A})\)</span> with parallel addition, i.e., the sum of two operands represented in base <span class="math-tex">\(\beta\)</span> with digits from <span class="math-tex">\(\mathcal{A}\)</span> is calculated in constant time, irrespective of the length of the operands.</p> <p>In the paper <a href="https://arxiv.org/abs/1801.01062">Construction of Algorithms for Parallel Addition</a>, a so-called <em>Extending Window Method </em>is introduced. This method is an algorithm to construct Parallel Addition algorithms. See the paper for the details, or the <a href="https://jan.legersky.cz/project/paralleladdition/">project website</a>.</p> <p>We present here the results of this method for selected numeration systems, see the <a href="http://doi.org/10.5281/zenodo.1542942">implementation</a>.</p>
Computed tomography scan of Roman window glass from Ephesos
<p>Computed density scan of a window glass sample performed at Lucerne University of Applied Sciences and Arts (Luci, https://www.hslu.ch/luci). The glass fragment from Ephesos was provided by the Austrian Archaeological Institute (inventory ID EVH12/1017/1322), Vienna, Austria. The measurement covers an area of approx. 12 mm by 12 mm. The measured data is provided as a stacked Tag Image File Format (TIFF) image. A surface mesh that represents the boundary of the glass volume has been derived from the volumetric data and is included in this dataset in GL Transmission Format (gltf).</p>
5G-EMIT Project: EMF measurements of 2G/3G/4G/5G frequency bands captured with a MVG EME Spy Evolution sensor close to a window of a building in LOS to two antennas in the Esch-Belval Area, Luxembourg (2023-02-07)
<p>During the 5G-EMIT project, EMF measurements of relevant mobile frequency bands have been taken at various sites around known antennas.</p> <p>Focus was in measuring the the following standard frequency bands:</p> <ul> <li>5G 700 <ul> <li>Band 28 FDD down</li> <li>758 - 803 MHz (Luxembourg: 758 - 788 MHz)</li> </ul> </li> <li>LTE 800 <ul> <li>Band 20 FDD down<br> 791 - 821 MHz</li> </ul> </li> <li>GSM 900 <ul> <li>Band 8 FDD down</li> <li>925 - 960 MHz</li> </ul> </li> <li>GSM/LTE 1800 <ul> <li>Band 3 FDD down</li> <li>1805 - 1880 MHz</li> </ul> </li> <li>UMTS 2100 <ul> <li>Band 1 FDD down</li> <li>2110 - 2170 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 38 TDD</li> <li>2570 - 2620 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 7 FDD down</li> <li>2620 - 2690 MHz</li> </ul> </li> <li>5G 3500 <ul> <li>Band 78 TDD</li> <li>3300 - 3800 MHz (Luxembourg: 3400 - 3800 MHz)</li> </ul> </li> </ul> <p><br> Two sensor have been used: The MVG EME Spy Evolution and a sensor developed by IMEC/University of Ghent.</p> <ul> <li>The MVG Spy Evolution sensor is able to measure all of the requested frequency bands as defined by the standard.</li> <li>The IMEC/University of Ghent sensor is only able to measure the LTE 800, GSM 900, GSM/LTE 1800 bands as defined by the standard.<br> In the 5G 3500 band it is only able to measure the range of 3550-3700 MHz (3465-3785 MHz within a -5db response).</li> </ul> <p>The datasets of the ZIP file has following structure:</p> <ul> <li>measurements: <ul> <li>the files of the measurements as provided by the sensor or application</li> <li>combined file of measurements in case the measurements have been split into several parts</li> <li>potentially analysis files of the measurements </li> </ul> </li> <li>pictures: <ul> <li>pictures of the antennas</li> <li>pictures of the sensor</li> <li>pictures of the location of the sensor</li> </ul> </li> <li>Readme.txt: <ul> <li>Used time-zone in the tables</li> <li>Used units in the tables</li> <li>Calculation of the total values in the tables</li> <li>Used labels of the the frequency bands</li> <li>Used sensor (MVG EME Spy Evolution or IMEC/University of Ghent)</li> <li>Locations of the target antennas</li> <li>Potentially location of the fixed sensor</li> </ul> </li> </ul>
5G-EMIT Project: EMF measurements of 2G/3G/4G/5G frequency bands captured with a IMEC/University of Ghent sensor in a building behind the window in LOS to one antenna in the Esch-Belval Area, Luxembourg (2023-01-31)
<p>During the 5G-EMIT project, EMF measurements of relevant mobile frequency bands have been taken at various sites around known antennas.</p> <p>Focus was in measuring the the following standard frequency bands:</p> <ul> <li>5G 700 <ul> <li>Band 28 FDD down</li> <li>758 - 803 MHz (Luxembourg: 758 - 788 MHz)</li> </ul> </li> <li>LTE 800 <ul> <li>Band 20 FDD down<br> 791 - 821 MHz</li> </ul> </li> <li>GSM 900 <ul> <li>Band 8 FDD down</li> <li>925 - 960 MHz</li> </ul> </li> <li>GSM/LTE 1800 <ul> <li>Band 3 FDD down</li> <li>1805 - 1880 MHz</li> </ul> </li> <li>UMTS 2100 <ul> <li>Band 1 FDD down</li> <li>2110 - 2170 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 38 TDD</li> <li>2570 - 2620 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 7 FDD down</li> <li>2620 - 2690 MHz</li> </ul> </li> <li>5G 3500 <ul> <li>Band 78 TDD</li> <li>3300 - 3800 MHz (Luxembourg: 3400 - 3800 MHz)</li> </ul> </li> </ul> <p><br> Two sensor have been used: The MVG EME Spy Evolution and a sensor developed by IMEC/University of Ghent.</p> <ul> <li>The MVG Spy Evolution sensor is able to measure all of the requested frequency bands as defined by the standard.</li> <li>The IMEC/University of Ghent sensor is only able to measure the LTE 800, GSM 900, GSM/LTE 1800 bands as defined by the standard.<br> In the 5G 3500 band it is only able to measure the range of 3550-3700 MHz (3465-3785 MHz within a -5db response).</li> </ul> <p>The datasets of the ZIP file has following structure:</p> <ul> <li>measurements: <ul> <li>the files of the measurements as provided by the sensor or application</li> <li>combined file of measurements in case the measurements have been split into several parts</li> <li>potentially analysis files of the measurements </li> </ul> </li> <li>pictures: <ul> <li>pictures of the antennas</li> <li>pictures of the sensor</li> <li>pictures of the location of the sensor</li> </ul> </li> <li>Readme.txt: <ul> <li>Used time-zone in the tables</li> <li>Used units in the tables</li> <li>Calculation of the total values in the tables</li> <li>Used labels of the the frequency bands</li> <li>Used sensor (MVG EME Spy Evolution or IMEC/University of Ghent)</li> <li>Locations of the target antennas</li> <li>Potentially location of the fixed sensor</li> </ul> </li> </ul>
5G-EMIT Project: EMF measurements of 2G/3G/4G/5G frequency bands captured with a MVG EME Spy Evolution sensor in a building behind the window in LOS to one antenna in the Esch-Belval Area, Luxembourg (2023-01-19)
<p>During the 5G-EMIT project, EMF measurements of relevant mobile frequency bands have been taken at various sites around known antennas.</p> <p>Focus was in measuring the the following standard frequency bands:</p> <ul> <li>5G 700 <ul> <li>Band 28 FDD down</li> <li>758 - 803 MHz (Luxembourg: 758 - 788 MHz)</li> </ul> </li> <li>LTE 800 <ul> <li>Band 20 FDD down<br> 791 - 821 MHz</li> </ul> </li> <li>GSM 900 <ul> <li>Band 8 FDD down</li> <li>925 - 960 MHz</li> </ul> </li> <li>GSM/LTE 1800 <ul> <li>Band 3 FDD down</li> <li>1805 - 1880 MHz</li> </ul> </li> <li>UMTS 2100 <ul> <li>Band 1 FDD down</li> <li>2110 - 2170 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 38 TDD</li> <li>2570 - 2620 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 7 FDD down</li> <li>2620 - 2690 MHz</li> </ul> </li> <li>5G 3500 <ul> <li>Band 78 TDD</li> <li>3300 - 3800 MHz (Luxembourg: 3400 - 3800 MHz)</li> </ul> </li> </ul> <p><br> Two sensor have been used: The MVG EME Spy Evolution and a sensor developed by IMEC/University of Ghent.</p> <ul> <li>The MVG Spy Evolution sensor is able to measure all of the requested frequency bands as defined by the standard.</li> <li>The IMEC/University of Ghent sensor is only able to measure the LTE 800, GSM 900, GSM/LTE 1800 bands as defined by the standard.<br> In the 5G 3500 band it is only able to measure the range of 3550-3700 MHz (3465-3785 MHz within a -5db response).</li> </ul> <p>The datasets of the ZIP file has following structure:</p> <ul> <li>measurements: <ul> <li>the files of the measurements as provided by the sensor or application</li> <li>combined file of measurements in case the measurements have been split into several parts</li> <li>potentially analysis files of the measurements </li> </ul> </li> <li>pictures: <ul> <li>pictures of the antennas</li> <li>pictures of the sensor</li> <li>pictures of the location of the sensor</li> </ul> </li> <li>Readme.txt: <ul> <li>Used time-zone in the tables</li> <li>Used units in the tables</li> <li>Calculation of the total values in the tables</li> <li>Used labels of the the frequency bands</li> <li>Used sensor (MVG EME Spy Evolution or IMEC/University of Ghent)</li> <li>Locations of the target antennas</li> <li>Potentially location of the fixed sensor</li> </ul> </li> </ul>
5G-EMIT Project: EMF measurements of 2G/3G/4G/5G frequency bands captured with a MVG EME Spy Evolution sensor in a building behind the window in LOS to one antenna in the Esch-Belval Area, Luxembourg (2022-10-19)
<p>During the 5G-EMIT project, EMF measurements of relevant mobile frequency bands have been taken at various sites around known antennas.</p> <p>Focus was in measuring the the following standard frequency bands:</p> <ul> <li>5G 700 <ul> <li>Band 28 FDD down</li> <li>758 - 803 MHz (Luxembourg: 758 - 788 MHz)</li> </ul> </li> <li>LTE 800 <ul> <li>Band 20 FDD down<br> 791 - 821 MHz</li> </ul> </li> <li>GSM 900 <ul> <li>Band 8 FDD down</li> <li>925 - 960 MHz</li> </ul> </li> <li>GSM/LTE 1800 <ul> <li>Band 3 FDD down</li> <li>1805 - 1880 MHz</li> </ul> </li> <li>UMTS 2100 <ul> <li>Band 1 FDD down</li> <li>2110 - 2170 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 38 TDD</li> <li>2570 - 2620 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 7 FDD down</li> <li>2620 - 2690 MHz</li> </ul> </li> <li>5G 3500 <ul> <li>Band 78 TDD</li> <li>3300 - 3800 MHz (Luxembourg: 3400 - 3800 MHz)</li> </ul> </li> </ul> <p><br> Two sensor have been used: The MVG EME Spy Evolution and a sensor developed by IMEC/University of Ghent.</p> <ul> <li>The MVG Spy Evolution sensor is able to measure all of the requested frequency bands as defined by the standard.</li> <li>The IMEC/University of Ghent sensor is only able to measure the LTE 800, GSM 900, GSM/LTE 1800 bands as defined by the standard.<br> In the 5G 3500 band it is only able to measure the range of 3550-3700 MHz (3465-3785 MHz within a -5db response).</li> </ul> <p>The datasets of the ZIP file has following structure:</p> <ul> <li>measurements: <ul> <li>the files of the measurements as provided by the sensor or application</li> <li>combined file of measurements in case the measurements have been split into several parts</li> <li>potentially analysis files of the measurements </li> </ul> </li> <li>pictures: <ul> <li>pictures of the antennas</li> <li>pictures of the sensor</li> <li>pictures of the location of the sensor</li> </ul> </li> <li>Readme.txt: <ul> <li>Used time-zone in the tables</li> <li>Used units in the tables</li> <li>Calculation of the total values in the tables</li> <li>Used labels of the the frequency bands</li> <li>Used sensor (MVG EME Spy Evolution or IMEC/University of Ghent)</li> <li>Locations of the target antennas</li> <li>Potentially location of the fixed sensor</li> </ul> </li> </ul>
5G-EMIT Project: EMF measurements of 2G/3G/4G/5G frequency bands captured with a MVG EME Spy Evolution sensor in a building behind the window in LOS to one antenna in the Esch-Belval Area, Luxembourg (2022-11-08)
<p>During the 5G-EMIT project, EMF measurements of relevant mobile frequency bands have been taken at various sites around known antennas.</p> <p>Focus was in measuring the the following standard frequency bands:</p> <ul> <li>5G 700 <ul> <li>Band 28 FDD down</li> <li>758 - 803 MHz (Luxembourg: 758 - 788 MHz)</li> </ul> </li> <li>LTE 800 <ul> <li>Band 20 FDD down<br> 791 - 821 MHz</li> </ul> </li> <li>GSM 900 <ul> <li>Band 8 FDD down</li> <li>925 - 960 MHz</li> </ul> </li> <li>GSM/LTE 1800 <ul> <li>Band 3 FDD down</li> <li>1805 - 1880 MHz</li> </ul> </li> <li>UMTS 2100 <ul> <li>Band 1 FDD down</li> <li>2110 - 2170 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 38 TDD</li> <li>2570 - 2620 MHz</li> </ul> </li> <li>LTE 2600 <ul> <li>Band 7 FDD down</li> <li>2620 - 2690 MHz</li> </ul> </li> <li>5G 3500 <ul> <li>Band 78 TDD</li> <li>3300 - 3800 MHz (Luxembourg: 3400 - 3800 MHz)</li> </ul> </li> </ul> <p><br> Two sensor have been used: The MVG EME Spy Evolution and a sensor developed by IMEC/University of Ghent.</p> <ul> <li>The MVG Spy Evolution sensor is able to measure all of the requested frequency bands as defined by the standard.</li> <li>The IMEC/University of Ghent sensor is only able to measure the LTE 800, GSM 900, GSM/LTE 1800 bands as defined by the standard.<br> In the 5G 3500 band it is only able to measure the range of 3550-3700 MHz (3465-3785 MHz within a -5db response).</li> </ul> <p>The datasets of the ZIP file has following structure:</p> <ul> <li>measurements: <ul> <li>the files of the measurements as provided by the sensor or application</li> <li>combined file of measurements in case the measurements have been split into several parts</li> <li>potentially analysis files of the measurements </li> </ul> </li> <li>pictures: <ul> <li>pictures of the antennas</li> <li>pictures of the sensor</li> <li>pictures of the location of the sensor</li> </ul> </li> <li>Readme.txt: <ul> <li>Used time-zone in the tables</li> <li>Used units in the tables</li> <li>Calculation of the total values in the tables</li> <li>Used labels of the the frequency bands</li> <li>Used sensor (MVG EME Spy Evolution or IMEC/University of Ghent)</li> <li>Locations of the target antennas</li> <li>Potentially location of the fixed sensor</li> </ul> </li> </ul>
Exploring the in Vitro Operating Window of Glycosyltransferase PtUGT1 from Polygonum tinctorium for a Biocatalytic Route to Indigo Dye
<p>The eobiotic compound indican lends itself to a compelling biocatalytic dyeing strategy for denim, in which the formation of corrosive byproducts is avoided. However, the efficient and scalable production of indican remains a key bottleneck. This work focuses on the <em>in vitro</em> characterization of <em>Pt</em>UGT1, a glycosyltransferase from <em>Polygonum tinctorium</em> that catalyzes the formation of indican via the glycosylation of indoxyl. Here, the buffer composition and enzyme concentration were identified as key parameters for enzyme activity and stability. The short lifetime of the enzyme under reaction conditions initiated an immobilization study. As a consequence, an amino-functionalized methacrylate resin was identified as a highly functional option for efficient immobilization of <em>Pt</em>UGT1, allowing immobilization yields of >98% for enzyme loadings up to 7.6 wt %. We further report a stabilization factor of 47 and significantly improved overall biocatalytic productivity. The straightforward handling and reuse of the described heterogeneous biocatalyst is demonstrated.</p>
Parallel window decoding enables scalable fault tolerant quantum computation
<p>Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.</p> <p> </p>
Phase 2 Window Study of SAR439859 (Amcenestrant) Versus Letrozole in Post-menopausal Patients With ER+, HER2- Pre-operative Post-menopausal Primary Breast Cancer
ClinicalTrials.gov study NCT04191382. IPD Sharing: YES. Countries: 9. Publications: 1.
Female reproductive fluid increases the opportunities for post-mating sexual selection by prolonging egg fertilization window
Open the record for dataset details and reuse information.
Data and code from: Life under leaves: Substrate-borne vibrations provide a window into the behavior and ecology of two miniaturized geckos
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Data from: The temporal window of ecological adaptation in postglacial lakes: a comparison of head morphology, trophic position and habitat use in Norwegian threespine stickleback populations
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Differential changes in lifecycle-event phenology provide a window into regional population declines
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A moving window analysis for exploring landscape and geologic controls on spatial patterning of streambank groundwater discharge
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Migration in drought: Receding streams contract the seaward migration window of endangered salmon
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Beetle community at Hubbard Brook sampled by window traps 1973-1977 and 2015-2017
Beetles were sampled using window traps at in the same locations within the Hubbard Brook Experimental Forest, New Hampshire, in 1973-1977 and again in 2015-2017. Samples were collected from late May through early August, but the number of weeks sampled differed among years. Most individuals collected were identified to the family level. For statistical analyses, counts by taxon for all samples were adjusted to a 48-hr collection period by simple linear interpolation. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. These data have been published in Harris, J.E., Rodenhouse, N.L. and Holmes, R.T., 2019. Decline in beetle abundance and diversity in an intact temperate forest linked to climate warming. Biological Conservation, 240, p.108219.
Data from: Study on characteristics of fire plume in building facade window under lateral blow
<p>The overflow of the flame plume from the window is the main cause of the vertical spread of the fire on the facade of the building. This paper considers the geometry of the window by taking measures to prevent the flame from propagating along the vertical wall. In this paper, a residential building is taken as an example to evaluate the flame plume characteristics through experimental tests and numerical simulations. The objective of the present study is to study the flame plume characteristics under the air blow on the outer window side of the building. The theoretical equations of the flame tilt angle, non-dimensional temperature and non-dimensional velocity are derived. A series of experimental tests were carried out in a reduced-scale building model corresponding to the changes of lateral blow ventilation velocity. Reduced scale numerical simulations were conducted to verify the experiments. Results showed that the flame tilt angle increases with ventilation velocity increases. Meanwhile, the experimental results were compared with the reduced-scale tests and numerical simulations. These showed a good agreement between experimental results and numerical simulations. All these findings provide theoretical basis for building fire prevention outside window.</p>
BIDMC Respiratory Rate Dataset (32 seconds window)
<p>This dataset is part of the Monash, UEA & UCR time series regression repository. <a href="http://tseregression.org/">http://tseregression.org/</a></p> <p><br> The goal of this dataset is to estimate respiratory rate using PPG and ECG data. This dataset contains 7949 time series obtained from the Physionet's BIDMC PPG and Respiration dataset, which was extracted from the much larger MIMIC II waveform database.<br> <br> Please refer to <a href="https://physionet.org/content/bidmc/1.0.0/">https://physionet.org/content/bidmc/1.0.0/</a> for more details<br> <br> Relevant papers<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> <br> Citation request<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</p>
Adapting ADCI Windows Desktop Graphical User Interface to ADCI-HT on IBM BG/Q.
<p>Supplementary Figure 1. <strong>Adapting ADCI Windows Desktop Graphical User Interface to ADCI-HT on IBM BG/Q. </strong>Data flow diagram illustrating the steps required to perform metaphase image processing tasks using A) Windows ADCI, and B) BG/Q ADCI (ADCI-HT) software platforms.</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.