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11 results for “route efficiency”
Supplementary Material for "Route Efficiency Assessment and Review of the Synthesis of β-Nucleosides via N-Glycosylation of Nucleobases"
<p>This is the external Supplementary Material for our publication "Route Efficiency Assessment and Review of the Synthesis of β-Nucleosides via <em>N</em>-Glycosylation of Nucleobases", which has been released as a preprint on <em>ChemRxiv </em>(https://doi.org/10.26434/chemrxiv.12753413.v1). The files in this record are additionally available from <em>ChemRxiv</em>.</p>
BRAIN Journal-An Efficient Combined Meta-Heuristic Algorithm for Solving the Traveling Salesman Problem-Figure 6. Some best routes found by the proposed algorithm
<p>Figure 6 shows some of the best solutions searched by the proposed method. In this figure, the horizontal axis represents the x-axis with increasing positive values to the right and the vertical axis represents the y-axis with increasing positive values upward. </p>
Dataset: Transient subglacial water routing efficiency modulates ice1 velocities prior to surge termination on Sít' Kusá, AK
<p>These files complement the data in <em>Transient subglacial water routing efficiency modulates ice1</em><br><em>velocities prior to surge termination on Sít’ Kusá, AK, </em>submitted to Journal of Glaciology. </p> <p>They contain the following: </p> <ul> <li>SK_runoff.csv: spatially integrated surface runoff modelled from climatic variables with the Energy Balance Firn Model (https://github.com/wardvp/EBFM-glacier). File header gives further detailed information, including location coordinates for which the surface runoff is computed.</li> <li>SK_GHT_3_10Hz.csv: file containing the median tremor time series summed between 3 and 10 Hz, which we associate with glaciohydraulic tremor. </li> <li>SK_lags_GHT.csv: file containing the 3-6 day period lag times between station pairs, when GHT signal coherence is >0.7, computed with wavelet coherence as outlined in the paper. </li> </ul> <p> </p>
Data for the paper "Improving Efficiency Through the Publication of Expected Distances for Standard Terminal Arrival Routes "
<p>Data in support of the paper "Improving Efficiency Through the Publication of Expected Distances for Standard Terminal Arrival Routes". The data is organised in subfolders containing the data for each of the three analysed airports (LSGG, EDDM, LIRF).</p> <p>Each folder includes a <em>landing_full.parquet</em> traffic file that contains all analyzed trajectories for the respective airport, along with random subsamples of sizes 10,000, 5,000, and 2,500.</p> <p>Additionally, each folder also contains samples of 1000 trajectories following each of the four specific STAR procedure that were analysed per airport:</p> <ul> <li><strong>LSGG:</strong> AKITO 3R, BELUS 3N, KINES 2N, LUSAR 2N</li> <li><strong>EDDM:</strong> BETOS 1A, LANDU 1B, NAPSA 1B, ROKIL 1A</li> <li><strong>LIRF: </strong>ELKAP 2A, LAT 2C, RITEB 2A, VALMA 2C</li> </ul> <p>Finally, each folder also contains a <em>landing_df.parquet</em> file that summarises the following key information about each of the trajectories contained in the <em>landing_full.parquet</em> file:</p> <table> <tbody> <tr> <td><strong>ID</strong></td> <td>A unique identifier linking the row to the corresponding trajectory data</td> </tr> <tr> <td><strong>Typecode</strong></td> <td>The ICAO typecode of the aircraft</td> </tr> <tr> <td><strong>Start</strong></td> <td>Timestamp when the aircraft passes the first waypoint of the STAR</td> </tr> <tr> <td><strong>Stop</strong></td> <td>Timestamp when the aircraft crosses the runway threshold</td> </tr> <tr> <td><strong>Runway</strong></td> <td>Designator of the landing runway</td> </tr> <tr> <td><strong>STAR</strong></td> <td>Name of the STAR procedure used by the aircraft</td> </tr> <tr> <td><strong>Distance</strong></td> <td>Total distance traveled by the aircraft from the initial waypoint of the STAR to the runway threshold</td> </tr> </tbody> </table>
MUSE: Multimodal Separators for Efficient Route Planning in Transportation Networks
<p>This dataset was used in the experimental evaluation of the MUSE route planning algorithm. It encompasses the Ile-de-France multimodal network. The dataset contains:</p> <p>1. The raw osm file of the Ile-de-France region from OpenStreetMap.</p> <p>2. The raw GTFS data for the public transit network.</p> <p>3. The multimodal graph based on 5 partitions: 100, 200, 300, 400, and 500 cells.</p> <p>4. The Nondeterministic Finite Automata (NFA) used during the preprocessing and query stages of MUSE.</p> <p>5. The graph overlay evaluated during the preprocessing stage of MUSE.</p> <p>To test MUSE and review the details of this dataset, please visit https://github.com/aminefalek/muse</p>
Using waste CO2 to produce essential amino acids for humans: An efficient photoelectrochemical route
Open the record for dataset details and reuse information.
Associations of genetic polymorphisms with boldness, stress response, and route efficiency in homing pigeons (<em>Columba livia</em>)
Open the record for dataset details and reuse information.
Reproducibility Package for SyRep: Efficient Synthesis and Repair of Fast Re-Route Forwarding Tables for Resilient Networks
<p>This is a reproducibility package for the paper SyRep: Efficient Synthesis and Repaird of Fast Re-Route Forwarding Tables for Resilient Networks that is going to appear at DSN'24 conference.</p>
Comparing the Efficiency of Three Third-generation Supraglottic Airways as an Intubation Route
ClinicalTrials.gov study NCT02975466. IPD Sharing: NO. Countries: 1. Publications: 2.
Reliable efficient cluster routing protocol based HTDE scheme for UWSN
<p>Underwater sensor networks (UWSNs) are recently recognized as a promising method for monitoring and exploring the underwater environment. Due to real-time remote data monitoring requirements, UWSN has become a preferred network to a large extent. But reliable and efficient secure data transmission to the receiver is one of the most important challenges for UWSNs, often suffer from irreplaceable batteries and high latency for long-distance communications. The most challenging task is extending network life, shortening transmission distances for each node. Thus, this paper presents the reliable efficient cluster routing (RECR) protocol, optimal shortest path finding (OSPF) algorithm and hill transformation data encryption (HTDE) algorithm for UWSNs. The proposed encryption algorithm encrypts the data from the source node, and the RECR protocol is used for reliable data delivery from source to destination. To extend the network's life, RECR employs autonomous underwater vehicle (AUV) from the sink node (SN) for data collection. The OSPF algorithm is used to find the shortest path for data transmission to avoid latency. The proposed RECR protocol, HTDE and OSPF algorithm enhance the secure data transmission efficiency, minimizing the energy consumption and improves the network life time. The proposed protocol decreases end-to-end latency, packet loss.</p>
Multi-omics analysis of mutagenized S. rimosus reveals synergistic changes that drive oxytetracycline production towards industrial efficiency and opens a new route to heterologous polyketides
GEO Series GSE232318. Streptomyces rimosus subsp. rimosus. 9 samples. Type: Expression profiling by high throughput sequencing.
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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.
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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.