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Dataset results
103 results for “Application Monitoring”
Design Of WELL Being Monitoring Systems, Application in Autism
ClinicalTrials.gov study NCT02275455. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Self-Monitoring Physical Activity With a Smartphone Application and Physiotherapy Coaching in Cancer Patients.
ClinicalTrials.gov study NCT03128333. IPD Sharing: NO. Countries: 1. Publications: 1.
Clinical Application of ctDNA Dynamic Monitoring in Neoadjuvant Therapy for HER2-positive Breast Cancer Patients
ClinicalTrials.gov study NCT06479460. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Clinical Application of Pulse Rate-monitoring Activity Trackers in Thyrotoxicosis
ClinicalTrials.gov study NCT03009357. IPD Sharing: NO. Countries: 1. Publications: 2.
Epidemiological Observation From a Smartphone Self-monitoring Application for Suspected COVID-19 Patients' Triage
ClinicalTrials.gov study NCT04331171. IPD Sharing: NO. Countries: 1. Publications: 3.
Mobile Application for Monitoring Patients With Home Oxygen. A Protocol of a Randomized and Controlled Clinical Trial.
ClinicalTrials.gov study NCT04820790. IPD Sharing: NO. Countries: 1. Publications: 19.
Validating Studies to Assess the Diagnostic Accuracy of a Software Application for Detection and Monitoring of Attentional Deficits in Delirium
ClinicalTrials.gov study NCT02590796. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Application for Self-Monitoring of Cardiovascular Risk
ClinicalTrials.gov study NCT01883050. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Galapagos giant tortoise trafficking case demonstrates the utility and applications of long-term comprehensive genetic monitoring
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Codes and Dataset for "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"
<p>This file contains the codes and dataset pertaining to the manuscript "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"</p>
Application of spectral library prediction for parallel reaction monitoring of viral peptides_PRM_data
<p><strong>Project description: </strong></p> <p>A major part of the analysis of parallel reaction monitoring (PRM) data is the comparison of observed fragment ion intensities to a library spectrum. Classically, these libraries are generated by data-dependent acquisition (DDA). Here we test Prosit, a published deep neural network algorithm, for its applicability in predicting spectral libraries for PRM. For this purpose, we targeted 1,529 precursors derived from synthetic viral peptides and analyzed the data with Prosit and DDA-derived libraries. Additionally, we used a spectral library predicted by Prosit and a DDA library to identify SARS-CoV-2 peptides from a simulated oropharyngeal swab.</p> <p> </p> <p><strong>Sample processing protocol:</strong></p> <p>A total of 1,569 crude synthetic viral peptides were ordered in six pools from JPT (Berlin, Germany). Synthetic peptides were separated on a 200 cm μPAC™ column (PharmaFluidics) by using an EASY-nLC1200 system (Thermo Fisher Scientific) equipped with a μPAC™ trapping column (PharmaFluidics). The flow rate was set to 300 nL/min and a stepped linear 160 min gradient was applied: 3-10% B in 22 min, 10-33%B in 95 min, 33-49% B in 23 min, 49-80% B in 10 min and 80% B for 10 min. Solvent A was 0.1% (v/v) formic acid (FA) in water, solvent B consisted of 80% (v/v) acetonitrile in 0.1% (v/v) FA. The column temperature was set to 50 °C. The Q Exactive Plus (Thermo Fisher Scientific) operated in Full MS/dd-MS2 or unscheduled PRM mode. For MS/dd-MS2 the following parameters were used. MS1 resolution was 70.000 with an AGC target of 3x10<sup>6</sup>, max. injection time of 20 ms and a scan range of 300-1650 m/z. MS2 resolution was 17.500 with an AGC target of 10<sup>5</sup>, max. injection time of 50 ms and an isolation window of 2 m/z. The analysis parameters in PRM mode were set as follows. MS1 parameters were identical to DDA. MS2 resolution was 17.500 with an AGC target of 10<sup>6</sup>, max. injection time of 55 ms and an isolation window of 1.4 m/z.</p> <p>Potential SARS-CoV-2 target peptides belonging to the N protein were identified by DDA of SARS-CoV-2 infected Calu-3 cells. Peptides were diluted in 0.1% TFA (0.2 µg/µL) and 5 µL were separated on a 50 cm μPAC™ column (PharmaFluidics) using an EASY-nLC1200 system (Thermo Fisher Scientific). The flow rate was set to 800 nL/min and a stepped 30 min gradient was applied: 6-11% B in 2:58 min, 11-30% B in 17:10 min, 30-35% B in 2:41 min, 35-47% B in 3:11 min, 47-80% B for 0:10 min, 80% B for 1:50 min, 80-0% B in 0:10 min and 100% A for 1:50 min. Solvent A was 0.1% (v/v) formic acid (FA) in water, solvent B consisted of 80% (v/v) acetonitrile in 0.1% (v/v) FA. The column temperature was set to 50 °C. The Q Exactive HF (Thermo Fisher Scientific) operated in Full MS/dd-MS2 (Top20) using the following parameters. MS1 resolution was 60.000 with an AGC target of 3x10<sup>6</sup>, max. injection time of 20 ms and a scan range of 300-1650 m/z. MS2 resolution was 17.500 with an AGC target of 10<sup>5</sup>, max. injection time of 50 ms and an isolation window of 2 m/z.</p> <p> </p> <p>To simulate a SARS-CoV-2 positive patient sample, we spiked cell-culture derived virus in a negative oropharyngeal swab and targeted the N protein by PRM. LC parameters were identical to DDA analysis of SARS-CoV-2 infected Calu-3 cells. The PRM parameters of the The Q Exactive HF (Thermo Fisher Scientific) were set as follows. MS1 parameters were identical to DDA. MS2 resolution was 45.000 with an AGC target of 10<sup>6</sup>, max. injection time of 100 ms and an isolation window of 1.4 m/z.</p> <p> </p> <p> </p> <p><strong>Data processing protocol:</strong></p> <p>DDA Raw files were searched with MaxQuant against the respective virus database (UniProt) with a peptide FDR of 1%. Detailed MaxQuant parameters can be found in the parameters.txt files of the according results. MaxQuant .msms output files were used to generate spectral libraries with BiblioSpec implemented in the Skyline environment using a cut-off score of 0.95. Peptide identification of PRM runs was done in Skyline using the top 6 fragment ions of the DDA spectral library or according Prosit derived library (Prosit_2020_intensity_model).</p>
Kieker monitoring data of application operation call traces of CoCoME
<p>The uploaded files represent different runs of CoCoME with different<br> workload configurations. In general the workloads start with<br> 10 shoppers shopping and is then interrupted by some administration<br> operations to adjust prices for a special sale. After that shoppers<br> return to the site. Depending on the workload in various numbers and<br> for different durations.</p> <p>In the following we explain the different workload configurations:<br> - kieker-20141103-195412267-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 100 iterations</p> <p>- kieker-20141104-140254415-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 500 iterations</p> <p>- kieker-20141104-003902628-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 150 iterations</p> <p>- kieker-20141103-232909805-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 50 shoppers for 100 iterations</p> <p>- kieker-20141103-215630838-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 120 shoppers for 100 iterations</p> <p>- kieker-20141104-070211796-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 90 iterations</p> <p>- kieker-20141104-060042643-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 70 iterations</p> <p>- kieker-20141104-050803295-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 50 iterations</p> <p>- kieker-20141104-011853225-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 200 iterations</p> <p>- kieker-20141104-032100601-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 300 iterations</p> <p>- kieker-20141103-212010120-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 10 shoppers for 100 iterations</p> <p>- kieker-20141103-190943649-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 20 shoppers for 100 iterations</p> <p>- kieker-20141104-020617388-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70-20 shoppers for 100 iterations</p> <p>- kieker-20141103-194453375-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 60 shoppers for 100 iterations</p> <p>- kieker-20141103-221637864-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 130 shoppers for 100 iterations</p> <p>- kieker-20141103-200357512-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 1 shoppers for 100 iterations</p> <p>- kieker-20141104-042254202-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 30 iterations</p> <p>- kieker-20141103-192643168-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 40 shoppers for 100 iterations</p> <p>- kieker-20141103-190203561-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 10 shoppers for 100 iterations</p> <p>- kieker-20141104-044425791-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 40 iterations</p> <p>- kieker-20141103-225338449-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 30 shoppers for 100 iterations</p> <p>- kieker-20141104-053345728-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 60 iterations</p> <p>- kieker-20141103-231115376-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 40 shoppers for 100 iterations</p> <p>- kieker-20141105-114942900-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 1000 iterations</p> <p>- kieker-20141103-193540165-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 50 shoppers for 100 iterations</p> <p>- kieker-20141104-073538044-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 80 shoppers for 100 iterations</p> <p>- kieker-20141103-191755265-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 30 shoppers for 100 iterations</p> <p>- kieker-20141103-210048642-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 100 shoppers for 100 iterations</p> <p>- kieker-20141103-234712972-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 60 shoppers for 100 iterations</p> <p>- kieker-20141104-022613492-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 250 iterations</p> <p>- kieker-20141105-144447507-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 2000 iterations</p> <p>- kieker-20141104-081423319-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 1 shoppers for 100 iterations</p> <p>- kieker-20141103-223632908-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 20 shoppers for 100 iterations</p> <p>- kieker-20141104-000527717-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 100 iterations</p> <p>- kieker-20141103-213652715-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 110 shoppers for 100 iterations</p> <p>- kieker-20141104-063024890-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 80 iterations</p> <p>- kieker-20141104-071827776-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 100 iterations</p> <p>- kieker-20141104-075444826-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 90 shoppers for 100 iterations</p> <p>contact: reiner.jung@email.uni-kiel.de</p>
EFFICIENT GENERATION OF RECEIVER OPERATING CHARACTERISTICS FOR THE EVALUATION OF DAMAGE DETECTION IN PRACTICAL STRUCTURAL HEALTH MONITORING APPLICATIONS
<p>Experimentally measured guided wave signal on a pipe over temperature cycles, used in the paper to construct synthetic datasets to evaluate performance of damage detection methods.</p>
Data from: Genotyping-in-Thousands by Sequencing panel development and application for high-resolution monitoring of introgressive hybridization within sockeye salmon
<p>Stocking programs have been widely implemented to re-establish extirpated fish species to their historical ranges; when employed in species with complex life histories, such management activities should include careful consideration of resulting hybridization dynamics with resident stocks and corresponding outcomes on recovery initiatives. Genetic monitoring can be instrumental for quantifying the extent of introgression over time, however, conventional markers typically have limited power for the identification of advanced hybrid classes, especially at the intra-specific level. Here, we demonstrate a workflow for developing, evaluating, and deploying a Genotyping-in-Thousands by Sequencing (GT-seq) SNP panel with the power to detect advanced hybrid classes to assess the extent and trajectory of intra-specific hybridization, using the sockeye salmon (<em>Oncorhynchus nerka)</em> stocking program in Skaha Lake, British Columbia, as a case study. Previous analyses detected significant levels of hybridization between the anadromous (sockeye) and freshwater resident (kokanee) forms of <em>O. nerka</em>, but were restricted to assigning individuals to pure-stock or "hybrid". Simulation analyses indicated our GT-seq panel had high accuracy, efficiency and power (> 94.5%) of assignment to pure-stock sockeye salmon/kokanee, F<sub>1</sub>, F<sub>2</sub>, and B<sub>2</sub> backcross-sockeye/kokanee. Re-analysis of 2016/2017 spawners previously analyzed using TaqMan<span> </span>assays and otolith microchemistry revealed shifts in assignment of some hybrids to adjacent pure-stock or B<sub>2</sub>-backcross classes, while new assignment of 2019 spawners revealed hybrids comprised 31% of the population, ~74% of which were B<sub>2</sub>-backcross or F<sub>2</sub>. Overall, the GT-seq panel development workflow presented here could be applied to virtually any system where genetic stock identification and intra-specific hybridization are important management parameters.</p>
Monitoring Solar Irradiance and PV Module Performance in Mobile Applications
<p>Video footage from the car in the PV in motion experiment.</p>
Pregnancy Monitoring Using Mobile Application
ClinicalTrials.gov study NCT05741931. IPD Sharing: NO. Countries: 0. Publications: 1.
The Application of Pleth Variability Index in Continuous Monitoring the Volume Status of Intraoperative Patients
ClinicalTrials.gov study NCT03009669. IPD Sharing: UNDECIDED. Countries: 0. Publications: 18.
Smart Blister Packaging and Mobile Application to Monitor and Support Medication Adherence: a Two-arm Usability Study
ClinicalTrials.gov study NCT07099612. IPD Sharing: NO. Countries: 1. Publications: 0.
Smartphone Application-Based Vital Sign Monitors
ClinicalTrials.gov study NCT02482779. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Data from: Analysing the effect of paddy rice variety on fluorescence characteristics for nitrogen application monitoring
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