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15 results for “operational costs”
Low-Cost Sensors and Multitemporal Remote Sensing for Operational Turbidity Monitoring in an East African Wetland Environment - Measurements and Locations
<p>Many wetlands in East Africa are farmed and wetland reservoirs are used for irrigation, livestock, and fishing. Water quality and agriculture have a mutual influence on each other. Turbidity is a principal indicator of water quality and can be used for, otherwise, unmonitored water sources. Low-cost turbidity sensors improve in situ coverage and enable community engagement. The availability of high spatial resolution satellite images from the Sentinel-2 multispectral instrument and of bio-optical models, such as the Case 2 Regional CoastColor (C2RCC) processor, has fostered turbidity modeling. However, these models need local adjustment, and the quality of low-cost sensor measurements is debated. We tested the combination of both technologies to monitor turbidity in small wetland reservoirs in Kenya. We sampled ten reservoirs with low-cost sensors and a turbidimeter during five Sentinel-2 overpasses. Low-cost sensor calibration resulted in an R² of 0.71. The models using the C2RCC C2X-COMPLEX (C2XC) neural nets with turbidimeter measurements (R² = 0.83) and with low-cost measurements (R² = 0.62) performed better than the turbidimeter-based C2X model. The C2XC models showed similar patterns for a one-year time series, particularly around the turbidity limit set by Kenyan authorities. This shows that both the data from the commercial turbidimeter and the low-cost sensor setup, despite sensor uncertainties, could be used to validate the applicability of C2RCC in the study area, select the better-performing neural nets, and adapt the model to the study site. We conclude that combined monitoring with low-cost sensors and remote sensing can support wetland and water management while strengthening community-centered approaches.</p> <p>The provided dataset includes a point shapefile with the studied reservoirs in central Kenya and a data table with the sampling date (Sentinel-2 overpass plus/minus one day), low-cost sensor setup number, reservoir ID, sampling location within the reservoir, the voltage measurements of the three respective low-cost sensor heads for sensor setups A and B, the averaged voltage, and the turbidimeter measured turbidity value in nephelometric turbidity units (NTU).</p> <p>The study is available in (please cite):</p> <div> <div>Steinbach, S., Rienow, A., Chege, M.W., Dedring, N., Kipkemboi, W., Thiong’o, B.K., Zwart, S.J., Nelson, A., 2024. Low-Cost Sensors and Multitemporal Remote Sensing for Operational Turbidity Monitoring in an East African Wetland Environment. <em>IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing</em> <em>17</em>, 8490–8508. <a href="https://doi.org/10.1109/JSTARS.2024.3381756">https://doi.org/10.1109/JSTARS.2024.3381756</a></div> </div> <p>This research was supported in part by the German Federal Ministry of Education and Research (BMBF) through the Project “Participatory Approach to Environmental Conservation of the Muringato Catchment Area for Sustainable Management and Enhanced Ecosystem Health” (CITGI4Muringato) under Grant Agreement No. 01DG20022.</p>
The monthly operating costs (vehicle, fuel, and maintenance) of each compared vehicle, Tesla 3 (283 HP), and Infiniti Q50 (300 HP).
<p>We compared two vehicles with similar horsepower, Tesla 3 (283 HP), and Infiniti Q50 (300 HP). The monthly operating costs of each compared vehicle were:</p> <ul> <li> <p>for the model, Tesla 3 electric vehicle was US$426.10/month, including purchase and depreciation US$333/month, fuel (electricity) US$27.8/month, maintenance US$65.3/month.</p> </li> <li> <p>for the model, Infiniti Q50, the internal combustion engine car was US$583.7/month, including purchase and depreciation US$321/month, fuel US$166/month, maintenance US$96.7/month.</p> </li> </ul>
Data-set for "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research.
<p><strong>Dataset for the article: "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research. </strong></p> <ul> <li><strong>FigX.fig: </strong>Matlab format figure source used to draw all of the plots of the article, embedding the all data.</li> <li><strong>evolution_K.m:</strong> Matlab code file that implement the Repeated Erasure model and compute the success rate of the erasure from the temperature evolution computed from the model.</li> <li><strong>Model_Landauer_enchaine.m:</strong> Matlab code file. Function which uses the SE Model to calculate the evolution of all the energy quantities (average) during step 1 and step 2 starting at an initial temperature CI, and also renders the final temperature conditions to be used iteratively in the RE Model.</li> <li><strong>Toy_Model.m: </strong>Theoretical toy model for explaning the Landauer repeted erasures temperature evolution.</li> <li><strong>Analysis_repeated_erasure.m:</strong> Matlab code file to treat raw data .mat files of 45 repeated erasures to compute the energy, work and heat evolution. The average is done on the full raw data samples corresponding to thousands of 45 repeated erasures.</li> <li><strong>XmsRawData.zip:</strong> Raw data of 45 repeated erasures of duration X ms each. Those Matlab data files are meant to be analysed with the Analysis_repeated_erasure code. Among the usefull variables contained in those files we identifiy :</li> </ul> <ol> <li>V: applied protocol, position of center of the wells in nm</li> <li>x: position signal in nm</li> <li>sigma_m: calibration of the standard deviation used by the feedback</li> <li>x0: threshold of the virtual potential</li> <li>tau1: duration of step1</li> <li>tau2: duration of step 2</li> <li>tau4: half resting time between step1 and step2</li> <li>X1: initial half distance between the wells</li> <li>dt: acquisition sampling time</li> </ol> <p><br> </p> <p> </p>
Data from: Social complexity influences brain investment and neural operation costs in ants
The metabolic expense of producing and operating neural tissue required for adaptive behaviour is considered a significant selective force in brain evolution. In primates, brain size correlates positively with group size, presumably owing to the greater cognitive demands of complex social relationships in large societies. Social complexity in eusocial insects is also associated with large groups, as well as collective intelligence and division of labour among sterile workers. However, superorganism phenotypes may lower cognitive demands on behaviourally specialized workers resulting in selection for decreased brain size and/or energetic costs of brain metabolism. To test this hypothesis, we compared brain investment patterns and cytochrome oxidase (COX) activity, a proxy for ATP usage, in two ant species contrasting in social organization. Socially complex Oecophylla smaragdina workers had larger brain size and relative investment in the mushroom bodies (MBs)—higher order sensory processing compartments—than the more socially basic Formica subsericea workers. Oecophylla smaragdina workers, however, had reduced COX activity in the MBs. Our results suggest that as in primates, ant group size is associated with large brain size. The elevated costs of investment in metabolically expensive brain tissue in the socially complex O. smaragdina, however, appear to be offset by decreased energetic costs.
Device-independent null test of dimension of qubit at low operational cost
<p>The data and scripts for the test on IBM Quantum</p>
Cost Comparison Between General Anesthesia and Regional Anesthesia in Shoulder Operations
ClinicalTrials.gov study NCT05406609. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Cost-Utility Analysis of Management of Peri Operative Haemorrhage Following Cardiac Surgery With Cardiopulmonary Bypass
ClinicalTrials.gov study NCT02972684. IPD Sharing: NO. Countries: 1. Publications: 2.
The Utility and Cost-Effectiveness Analysis of 18F-FDG PETin Staging Potential Operable Non-Small Cell Lung Cancer
ClinicalTrials.gov study NCT00364663. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Data from: Social complexity influences brain investment and neural operation costs in ants
Open the record for dataset details and reuse information.
Cost Effectiveness of the EndoPhys Pressure Sensing Access System vs. Radial A-line for Intra-operative Blood Pressure Monitoring
ClinicalTrials.gov study NCT03239847. IPD Sharing: NO. Countries: 0. Publications: 1.
Data for "Reducing operational costs of offshore HVDC energy export systems through optimized maintenance"
<p>The files in this record contain the scripts, input data and results for the maintenance model described in the above publication (will be added later).</p> <p>To use the scripts, you need the software MATLAB (min. version 2016b).</p> <p>Steps to run the model:</p> <p>1. run "ini.m"</p> <p>2. run "szenarien_~"</p> <p>3. save the results in the directory "Ergebnisse"</p> <p>4. run scripts located in the directory "Auswertungen"</p>
A Prospective Trial Comparing the Cost of Post Operative X-rays for Fractures Treated With Stable Internal Fixation
ClinicalTrials.gov study NCT01644344. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cost-effectiveness, Volar Locking Plate or Non-operative Treatment Distal Radius Fracture
ClinicalTrials.gov study NCT06067074. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of the Cost for Patients Operated for Adhesive Obstruction (SBO) During a Five-year Period
ClinicalTrials.gov study NCT03602352. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparison of the Safety and Cost of a Simplified Post-Operative Radiograph (SPOR) Protocol
ClinicalTrials.gov study NCT04110470. IPD Sharing: NO. Countries: 0. Publications: 0.
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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.