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84 results for “case design”
Deliverable 2.3 Design Load Case Database for Code-to-Code Comparison
<p>In work package 2 of FLOATECH a detailed validation and verification of the capabilities of QBlade-Ocean was performed. Thereby, three wind turbine models mounted on floating substructures with differing characteristics serve as the means for the validation.This dataset contains Floating Offshore Wind Turbine (FOWT) calculations in various design situations, computed with three different codes. In more detail, three floating platform archetypes are used in the code-to-code comparison ongoing in work package 2: a semi-submersible-type floater and a spar-type floater as well as the Hexafloat® concept recently proposed by Saipem®. The three test-cases are the NREL 5MW RWT mounted on the DeepCwind semi-submersible platform, the DTU 10MW RWT mounted on the SOFTWIND spar-type platform and the DTU 10MW RWT mounted on the Hexafloat® platform. <br> More details regarding the dataset structure and the testcases can be found in the accompanying document. </p> <p> </p> <p><em>Changelog:</em> </p> <p>Version 5.0.0</p> <ul> <li>Changed structural damping ratio (increased) in OpenFAST results (SOFTWIND and Hexafloat models) to match structural damping ratios in QBlade</li> <li>Added wave time series at platform undisplaced position</li> <li>Added TurbSim input files for wind field generation. TurbSim v2.0.0 (https://www.nrel.gov/wind/nwtc/turbsim.html - National Renewable Energy Laboratory)</li> <li>Added detailed DLC and simulation information in "DLC&SimulationList.xlsx"</li> </ul> <p>Version 4.0.0</p> <ul> <li>Correction of bugs in QB 5MWOC4 and 10MWSOFT models: wind shear exponent in wind fields (0.11 -> 0.14)</li> <li>Update of hydrodynamic database used in OpenFAST and QBlade results of 10MWSOFT model </li> </ul> <p> </p> <pre><code>Data in version 5.0.0 is used in WES publication: Papi, F., Troise, G., Behrens de Luna, R., Saverin, J., Perez-Becker, S., Marten, D., Ducasse, M.-L., and Bianchini, A.: A Code-to-Code Comparison for Floating Offshore Wind Turbine Simulation in Realistic Environmental Conditions: Quantifying the Impact of Modeling Fidelity on Different Substructure Concepts, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2023-107, in review, 2023.</code></pre> <p> </p>
Extracting interpretable rules with Bayesian Networks. A case study of intrinsic human hazardous properties of silver nanoforms for the Safety Dimension of Safe and Sustainable by design paradigm.
<p>Three different datasets: toxicological attributes in i) lung and ii) intestinal cell line along with system dependent features and iii) system independent pchem properties) were merged. Each row represents one set of experimental testing conditions and related system dependent nanodescriptors based on the exposure dose and NFs pre-treatment (for intestinal assessments). The system independent inputs are NF specific and independent of experimental conditions. Data is captured via FAIR principles where the reader can find the origin (institution) of each data, the responsible data creators (experimentalists), the raw measurements, the protocols followed and the instrumentations used for each experiment. .</p>
User Study Data for Paper "A case study in designing trustworthy interactions: implications for socially assistive robotics"
<p>Experimental data collected for the user study described in Frontiers paper "A case study in designing trustworthy interactions: implications for socially assistive robotics" by Mengyu Zhong et al. Citation: <i>Zhong, Mengyu, et al. "A case study in designing trustworthy interactions: implications for socially assistive robotics." Frontiers in Computer Science 5.1152532 (2023). </i></p>
Dataset of "Key Aspects in Designing High-Throughput Workflows in Electrocatalysis Research: A Case Study on IrCo Mixed-Metal Oxidese"
<p>With the growing interest of the electrochemical community in high-throughput (HT) experimentation as a powerful tool in accelerating materials discovery, the implementation of HT methodologies and the design of HT workflows has gained traction. We identify 6 aspects essential to HT workflow design in electrochemistry and beyond to ease the incorporation of HT methods in the community’s research and to assist in their improvement. We study IrCo mixed-metal oxides (MMOs) for the oxygen evolution reaction (OER) in acidic media using the mentioned aspects to provide a practical example of possible workflow design pitfalls and strategies to counteract them. </p>
Supplementary Material: Comparing Formal Tools for System Design: a Case Study from the Railway Domain
<p>The package includes a set of models for a railway moving-block system:</p> <p>(a) a PDF document named Moving-block Model and Requirements.pdf, which includes a UML model of a moving-block system together with a set of requirements for the system;</p> <p>(b) a set of 10 folders, each one associated to a formal or semi-formal development tool. Each folder contains one or more model of the moving-block system from (a), developed by means of the tool.</p>
FIGURE 2 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 2. Structure of algorithm for time binning of stratigraphical units of the RNames Database (available under https://github.com/bjoekroe/RNames). Time bins are selected via three correlation routes (colour codes) and six rules resulting in six tables with referenced bins from which only those are selected which are most precise (i.e., range through lowest number of bins). Abbreviations: bio.unit, biostratigraphic unit; non-bio. unit, non-biostratigraphic unit. Colour code: red, correlation exclusively based on biostratigraphy; orange; correlation indirectly based on biostratigraphy; yellow, correlation based on direct or indirect assignments to time bins. -> arrow refers to referenced relations in RNames.
FIGURE 1 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 1. Simplified structure of the RNames Database (rnames.luomus.fi/). The database contains eight related tables (blue and red objects) of which the object "Relations" is central. In "Relations" correlated stratigraphic units are listed by reference. Three output tables (yellow objects) list time binned stratigraphic units based on a search algorithm that uses "Relations" via R-Package RMySQL (the scripts are available under https://github.com/bjoekroe/ RNames). Global Stages after Cooper et al. (2012). Abbreviations: ID, identifier; StS, Stage Slice (Bergström et al., 2009); TS, Time Slice (Webby et al., 2004)
FIGURE 5 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 5. Quality of PaleobioDB data used for diversity calculations. 1. Number of collections available per time bin. 2. Mean stratigraphic range of collections through time bins. Diamonds, two-time-bin resolution; triangles, one-time bin resolution; squares, all collections. Red, Global Stages after Cooper et al. (2012), green; Stage Slices, Bergström et al. (2009); blue, Time Slices, Webby et al. (2004).
FIGURE 4 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 4. Ordovician genus-level diversity trends of PaleobioDB occurrence data, based on three different time binning approaches. 1. Total mean standing diversity (after Cooper, 2004). 2. Rarefied diversity with time bins of <100 collections culled, with quota 600. Diamonds, two-time-bin resolution; triangles, one-time bin resolution; stars, all collections. Red, Global Stages after Cooper et al. (2012), green; Stage Slices, Bergström et al. (2009); blue, Time Slices, Webby et al. (2004). Error bars reflect 95% confidence interval.
Datasets of the manuscript "Rational design of profile HMMs for sensitive and specific sequence detection with case studies applied to viruses, bacteriophages, and casposons"
<p><strong>DATASETS</strong></p> <p>Rational design of profile HMMs for sensitive and specific sequence detection with case studies applied to viruses, bacteriophages, and casposons</p> <p>Liliane S. Oliveira, Alejandro Reyes, Bas E. Dutilh and Arthur Gruber<sup>*</sup></p> <p>* Correspondence: <a href="mailto:argruber@usp.br">argruber@usp.br</a> (AG); Tel. +55 11 3091 7274</p> <p> </p> <p>Here we provide different data of <em>Microviridae</em>, <em>Flavivirus</em> and casposons used throughout the work:</p> <ul> <li>Microviridae folder <ul> <li>conserved_HMMs – profile HMMs constructed with TABAJARA in Conservation mode for <em>Microviridae</em></li> <li>discriminative_HMMs – profile HMMs constructed with TABAJARA in Discrimination mode for <em>Microviridae</em></li> <li>sequences – different sequence datasets and respective multiple sequence alignments <ul> <li>Microviridae_113-seq_training_set.fasta - 113 VP1 sequences covering diversity of the <em>Microviridae</em> family</li> <li>Microviridae_113-seq.aln – multiple sequence alignment of the 113-protein dataset</li> <li>Microviridae_1836-seq_testset.fasta - 1,836 sequence dataset covering 1,836 sequences of the major capsid protein (VP1) comprising 501 <em>Alpavirinae</em> sequences, 1,040 <em>Gokushovirinae</em> sequences and 295 <em>Pichovirinae</em> sequences</li> <li>Microviridae_1866-seq.aln - multiple sequence alignment of the 1,866-protein <em>Microviridae</em> dataset used in the experiment of Figure 4</li> </ul> </li> </ul> </li> <li>Flavivirus folder <ul> <li>conserved_HMMs – profile HMMs constructed with TABAJARA in Conservation mode for <em>Flavivirus</em></li> <li>discriminative_HMMs – profile HMMs constructed with TABAJARA in Discrimination mode for <em>Flavivirus</em> <ul> <li>full-length – models constructed from full-length protein sequences</li> <li>short - models constructed from selected short alignment blocks of the protein sequences</li> </ul> </li> <li>sequences – different sequence datasets and respective multiple sequence alignments <ul> <li>Flavivirus_127-seq_training_set.fasta - 127 polyprotein sequences covering species diversity of the genus <em>Flavivirus</em></li> <li>Flavivirus_127-seq.aln – multiple sequence alignment of the 127-protein dataset</li> <li>Flavivirus_6364-seq_testset.fasta - 6,364 sequence dataset covering species diversity of <em>Flavivirus</em>, including 3,919 of dengue virus (DENV), 327 of Zika virus (ZIKV), 63 of yellow fever virus (YFV), and the remaining 2,055 sequences covering other available flaviviruses</li> <li>Flavivirus_6364-seq.aln - multiple sequence alignment of the 6,364-protein <em>Flavivirus</em> dataset</li> </ul> </li> </ul> </li> <li>Casposons folder <ul> <li>casposon_generic_HMMs – profile HMMs constructed with TABAJARA in Discrimination mode for the generic detection of all casposons and discrimination from CRISPRs.</li> <li>casposon_family_discriminative_HMMs – profile HMMs constructed with TABAJARA in Discrimination mode for the specific discrimination among casposon families and from CRISPRs.</li> <li>sequences – different sequence datasets and respective multiple sequence alignments <ul> <li>casposons_crisprs.fasta – 106 Cas1 <em>bona fide</em> sequences derived from 52 CRISPRs and 54 casposons</li> <li>casposon_family_discrimination.aln - multiple sequence alignment of 52 <em>bona fide</em> CRISPR and 54 casposon sequences, with appropriate nomenclature to run TABAJARA for the discrimination of each casposon family.</li> <li>casposons_crisprs_discrimination.aln - multiple sequence alignment of 52 <em>bona fide</em> CRISPR and 54 casposon sequences, with appropriate nomenclature to run TABAJARA for discrimination of CRISPRs and casposons.</li> </ul> </li> </ul> </li> </ul>
Data from: Potentials of closed contour analysis in species differentiation and holotype designation: a case study on lower Norian (Upper Triassic) conodonts
<p><span>Geometric morphometric approaches become increasingly applied in the fields of biology and paleontology. Taxonomy is a good example, where a long-standing intention of scientists is to eliminate subjectivity as much as possible. In the case of biostratigraphically important conodont elements, the application of such methods is not widespread. Indeed, only a handful of studies attempted to deal with the morphological variance of conodont elements from this aspect. The detailed description of five lower Norian (Upper Triassic) taxa (<em>Ancyrogondolella quadrata, A. rigoi, A. triangularis, A. uniformis</em> and <em>Metapolygnathus mazzai</em>) is presented here based on landmarks and Fourier analysis of the P1 element and keel outlines. Both methods led to similar outcomes regarding taxonomic differentiation and exposing shape variability. Consensus shapes were generated to objectively reveal the typical contour shape of each taxon, which allowed their comparison with each other, and with the members of their respective sample population including the holotypes. The results pointed out that the holotype of a taxon is generally not an average representative, but rather a peripheral form with well-separable morphological characteristics. <em>Ancyrogondolella quadrata</em> and <em>A. rigoi</em> turned out to represent a morphological continuum with ample transitional forms between these two end-members that may cause bias in their biostratigraphic applicability; however, their combined shape variance seems to be too large for uniting them into a single species. Given the results that may be too subtle to realize based solely on qualitative observations, future taxonomic studies and type material designation could greatly benefit from the application of similar methodologies.</span></p>
Replication Data for "How Do Different Types of Testing Goals Affect Test Case Design?"
<p># Replication Data for "How Do Different Types of Testing Goals Affect Test Case Design?"</p> <p>## Overview</p> <p>Background: Test cases are designed in service of one or more goals, e.g., assessing functional correctness or performance. We lack a clear understanding of how specific goal types influence test design.</p> <p>Aims: We explore the relationship between types of testing goals and test design, including identification and importance of goal types, quantitative relations between goal types and test cases, and personal, organizational, methodological, and technological factors that may influence this relationship.</p> <p>Method: We have conducted both qualitative and quantitative analysis of interviews and a survey with software developers in various domains and of varying experience.</p> <p>Results: We identify nine goal types, and focus on correctness, reliability, and quality. We observe that test design for correctness forms a "default" design process that is modified when pursuing other goals. For the examined goal types, test cases tend to be simple, with many tests targeting a single goal and each test focusing on 1-2 goals at a time. Testers often start by using past tests as templates. Testing practices, tools, and system types of interest vary between goal types. Test design can be influenced by organization, process, and team makeup.</p> <p>Conclusions: This study provides a foundation for future research on test case design and testing goals.</p> <p>The paper can be found at http://greg4cr.github.io/pdf/23goals.pdf </p> <p>## Data Contained in This Package</p> <p>- thematic_coding.pdf</p> <p>This is the theme map created from the interview data. We extracted important statements from the interviews (codes) and clustered them into themes and sub-themes.</p> <p>- survey_responses.pdf</p> <p>This file contains all survey responses.</p> <p>Both interview and survey data has been anonymized to protect the privacy of the participants.</p>
Data from: Potentials of closed contour analysis in species differentiation and holotype designation: a case study on lower Norian (Upper Triassic) conodonts
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Anticipated versus Actual Effects of Platform Design Change: A Case Study of Twitter's Character Limit
<p>The design of online platforms is both critically important and challenging, as any changes may lead to unintended consequences, and it can be hard to predict how users will react. Here we conduct a case study of a particularly important real-world platform design change: Twitter's decision to double the character limit from 140 to 280 characters to soothe users' need to "cram'' or "squeeze'' their tweets, informed by modeling of historical user behavior.<br> In our analysis, we contrast Twitter's anticipated pre-intervention predictions about user behavior with actual post-intervention user behavior: Did the platform design change lead to the intended user behavior shifts, or did a gap between anticipated and actual behavior emerge?<br> Did different user groups react differently?<br> We find that even though users do not "cram'' as much under 280 characters as they used to under 140 characters, emergent "cramming'' at the new limit seems to not have been taken into account when designing the platform change. Furthermore, investigating textual features, we find that, although post-intervention ``crammed'' tweets are longer, their syntactic and semantic characteristics remain similar and indicative of "squeezing''. Applying the same approach as Twitter policy-makers, we create updated counterfactual estimates and find that the character limit would need to be increased further to reduce cramming that re-emerged at the new limit.<br> We contribute to the rich literature studying online user behavior with an empirical study that reveals a dynamic interaction between platform design and user behavior, with immediate policy and practical implications for the design of socio-technical systems. </p>
Estimated densities of activity from: Characterising diel activity patterns to design conservation measures: Case study of European bat species
<p>Estimated densities of activity calculated in <em>"Characterising diel activity patterns to design conservation measures: case study of European bat species"</em> (see Materials and Methods for more information on these calculations).</p> <p>The files named "<em>densitiyAllYear</em>" correspond to the estimated densities based on our entire dataset.</p> <p>The files named "<em>densitiySpring</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 1 March and 21 June.</p> <p>The files named "<em>densitiySummer</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 June and 21 August.</p> <p>The files named "<em>densitiyAutumn</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 August and 31 October.</p> <p>The first column of each file (<em>"PercentageNight"</em>) corresponds to the percentage of the night elapsed (0 % = sunset time, 100 % = sunrise time), the second to the estimated activity density (<em>"Density"</em>).</p>
Design Of A Condition Monitoring System (CMS) For A Gas Compressor Using Shell Bonny Terminal As A Case Study
<p><strong>Subcontracted</strong> <strong>Researcher</strong> <strong>&</strong> <strong>Field</strong> <strong>Electrical</strong> <strong>and</strong> <strong>Electronics</strong> <strong>Engineer</strong>, <em>Shell</em> <em>Bonny</em> <em>Terminal, Nigeria</em>— 2013</p> <p>I served as a Hooks Electric subcontracted researcher and field electrical and electronics engineer at Shell Bonny Terminal, spearheading a groundbreaking project to design and construct a state-of-the-art software condition monitoring system (CMS) for a gas compressor. In addition to my technical responsibilities, I also took charge of integrating this innovative design into the existing SCADA (Supervisory Control and Data Acquisition) infrastructure of the plant.</p> <p>Working collaboratively with a team of four talented engineers, I successfully managed and coordinated their efforts throughout the project. Together, we leveraged our collective expertise to develop and implement a fully functional software condition monitoring system. This collaborative approach ensured that our project benefitted from diverse perspectives and skill sets, leading to a comprehensive and robust solution.</p> <p>Utilizing my proficiency in LabVIEW, C#, native C, Java and ActiveX library, I led the development of a cutting-edge data acquisition (DAQ) device for CM system. This device seamlessly captured sensor readings from the live gas compressor in real-time, while the systemic algorithm I designed skillfully tracked false alarms using fallback sensors. By monitoring critical parameters such as ambient and self-temperature, axial speed, vibration, inflow pressure, and outflow pressure, we were able to enhance the system's reliability and performance.</p> <p>Furthermore, I effectively integrated the software condition monitoring system into the plant's existing SCADA infrastructure, ensuring seamless communication and compatibility with the overall plant monitoring and control system. This integration facilitated centralized data management and provided comprehensive insights into the gas compressor's operation, enabling proactive maintenance and efficient decision-making.</p> <p>By successfully managing the team and overseeing the integration process, I ensured that our project aligned seamlessly with the plant's existing infrastructure, resulting in an optimized and harmonized system.</p> <p>Through our collective efforts, we delivered a highly sophisticated and fully integrated software condition monitoring system that significantly improved the management and performance of the gas compressor at Shell Bonny Terminal.</p> <p>I have curated all the resource files that will enable anyone replicate our work. This is shared under the CC-by-4 license.</p> <p>The LabVIEW codes are documented in Work.zip file and all manuals and equipment specifications have been uploaded. I have created a test bench to help anyone quickly test the LabVIEW software in simulation mode. </p> <p>I have also provided a slide presentation that summarizes our work, including methodologies and results.</p>
Supporting material for: A multi-batch design to deliver robust estimates of efficacy and reduce animal use – a syngeneic tumour case study
<p>Underlying data, R scripts and subsequent figures are presented to deliver a replicable and transparent analysis for the manuscript "A multi-batch design to deliver robust estimates of efficacy and reduce animal use – a syngeneic tumour case study"</p> <p>Published in Scientific Reports</p> <p>See: <a href="https://protect-de.mimecast.com/s/kCQLCgpRGySlzOwmCNma6d?domain=rdcu.be">https://rdcu.be/b3vj2</a> </p> <p> </p> <p>This is version 2 of this data. This differs from version 1 in the following</p> <p>1. The number of simulation has increased from 300 to 2000 in each simulation cycle</p> <p>2. Script has been added to generate publication level figures</p> <p> </p> <p> </p> <p> </p>
Integrating functional connectivity in designing networks of protected areas under climate change: a caribou case-study
<p>Land-use change and climate change are recognized as two main drivers of the current biodiversity decline. Protected areas help safeguard the landscape from additional anthropogenic disturbances and, when properly designed, can help species cope with climate change impacts. When designed to protect the regional biodiversity rather than to conserve focal species or landscape elements, protected areas need to cover a representative sample of the regional biodiversity and be functionally connected, facilitating individual movements among protected areas in a network to maximize their effectiveness. We developed a methodology to define effective protected areas to implement in a regional network using ecological representativeness and functional connectivity as criteria. We illustrated this methodology in the Gaspésie region of Québec, Canada. We simulated movements for the endangered Atlantic-Gaspésie caribou population (<i>Rangifer tarandus caribou</i>), using an individual-based model, to determine functional connectivity based on this large mammal. We created multiple protected areas network scenarios and evaluated their ecological representativeness and functional connectivity for the current and future conditions. We selected a subset of the most effective network scenarios and extracted the protected areas included in them. There was a tradeoff between ecological representativeness and functional connectivity for the created networks. Only a few protected areas among those available were repeatedly chosen in the most effective networks. Protected areas maximizing both ecological representativeness and functional connectivity represented suitable areas to implement in an effective protected areas network. These areas ensured that a representative sample of the regional biodiversity was covered by the network, as well as maximizing the movement over time between and inside the protected areas for the focal population.</p>
Data from: Designing monitoring protocols to measure population trends of threatened insects: a case study of the cryptic, flightless grasshopper Brachaspis robustus
<p>Statistically robust monitoring of threatened populations is essential for effective conservation management because the population trend data that monitoring generates is often used to make decisions about when and how to take action. Despite representing the highest proportion of threatened animals globally, the development of best practice methods for monitoring populations of threatened insects is relatively uncommon. Traditionally, population trend data for the Nationally Endangered New Zealand grasshopper <em>Brachaspis robustus</em> has been determined by counting all adults and nymphs seen on a single ~1.5 km transect searched once annually. This method lacks spatial and temporal replication, both of which are essential to overcome detection errors in highly cryptic species like <em>B</em>. <em>robustus</em>. It also provides no information about changes in the grasshopper's distribution throughout its range. Here, we design and test new population density and site occupancy monitoring protocols by comparing a) comprehensive plot and transect searches at one site and b) transect searches at two sites representing two different habitats (gravel road and natural riverbed) occupied by the species across its remaining range. Using power analyses, we determined a) the number of transects, b) the number of repeated visits and c) the grasshopper demographic to count to accurately detect long term change in relative population density. To inform a monitoring protocol design to track trends in grasshopper distribution, we estimated the probability of detecting an individual with respect to a) search area, b) weather and c) the grasshopper demographic counted at each of the two sites. Density estimates from plots and transects did not differ significantly. Population density monitoring was found to be most informative when large adult females present in early summer were used to index population size. To detect a significant change in relative density with power > 0.8 at the gravel road habitat, at least seventeen spatial replicates (transects) and four temporal replicates (visits) were required. Density estimates at the natural braided river site performed poorly and likely require a much higher survey effort. Detection of grasshopper presence was highest (<em>p</em><sub><em>g</em></sub> > 0.6) using a 100 m x 1 m transect at both sites in February under optimal (no cloud) conditions. At least three visits to a transect should be conducted per season for distribution monitoring. Monitoring protocols that inform the management of threatened species are crucial for better understanding and mitigation of the current global trends of insect decline. This study provides an exemplar of how appropriate monitoring protocols can be developed for threatened insect species.</p>
Digital frugality _ single-case exp design – alternat_treatment
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