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1,719 results for “Making”
Ontologizing Health Systems at Scale: Making Translational Discovery a Reality (Recorded talk)
<p>This entry contains the recorded talk that was presented at the 2021 American Medical Informatics Association Virtual Informatics Summit (<a href="https://amia.org/education-events/amia-2021-virtual-informatics-summit">https://amia.org/education-events/amia-2021-virtual-informatics-summit</a>).</p>
Toward consumer-centric sustainability development model: A reverse logistics multi-criteria decision-making analysis datasets
<p>Toward consumer-centric sustainability development model: A reverse logistics multi-criteria decision-making analysis datasets</p>
Dataset#1 and Dataset#2 for Making drawings speak through mathematical metrics
<p>Dataset 1 and Dataset 2 for the paper Making drawings speak through mathematical metrics</p> <p>Figurative drawing is a skill that takes time to learn, and evolves during different childhood phases that begin with scribbling and end with representational drawing. Between these phases, it is difficult to assess when and how children demonstrate intentions and representativeness in their drawings. The marks produced are increasingly goal-oriented and efficient as the child’s skills progress from scribbles to figurative drawings. Pre-figurative activities provide an opportunity to focus on drawing processes. We applied fourteen metrics to two different datasets (N=65 and N=345) to better understand the intentional and representational processes behind drawing, and combined these metrics using principal component analysis (PCA) in different biologically significant dimensions. Three dimensions were identified: efficiency based on spatial metrics, diversity with colour metrics, and temporal sequentiality. The metrics at play in each dimension are similar for both datasets, and PCA explains 77% of the variance in both datasets. These analyses differentiate scribbles by children from those drawn by adults. The three dimensions highlighted by this study provide a better understanding of the emergence of intentions and representativeness in drawings. We have already discussed the perspectives of such findings in Comparative Psychology and Evolutionary Anthropology.</p>
Resource allocation underlies parental decision-making during incubation in the Manx shearwater
<p>Examining resource allocation is fundamental to understanding the relationships between a species' behaviour and its life history. Furthermore, for biparentally-caring animals, examining the relative investment decisions made by members of a breeding pair can give insight into the extent and nature of cooperative care. As a key measure of resource availability, examining body mass changes can help elucidate the ways in which parents balance their allocation. In birds, these trade-offs become particularly stark during incubation, as maintaining constant egg warming usually requires one parent to fast. This period therefore represents a key opportunity to investigate investment decisions. We took daily measurements of body mass from breeding Manx shearwaters, a biparentally-caring seabird, during incubation, and related this to measures of nest attendance and behaviour collected using field observations and miniaturised biologgers. We investigated how changes in body mass related to the decisions made at the nest and at sea, whether this differed between the sexes, and whether pair experience influenced incubation behaviour. We found that while body mass predicted the probability that incubating birds would choose to temporarily desert the nest, incubation shift duration was ultimately set by return of the foraging bird. The trip durations of foraging birds in turn were primarily dictated by their body mass reserves on departure from the nest. However, foragers appeared to account for the condition of the incubating partner, returning from sea earlier when their partner was in poor condition. Our results contribute to understanding the mechanisms by which individuals regulate both their own and their partner's incubation behaviour, with implications for interacting with fine-scale resource availability.</p> <p> </p>
Project files provided as supporting information to the manuscript "Making sense of complex systems through resolution, relevance, and mapping entropy"
<p>README file to the project files provided as supporting information to the manuscript “Making sense of complex systems through resolution, relevance, and mapping entropy”</p> <p>Feb. 25, 2022</p> <p>Authors: Roi Holtzman, Marco Giulini and Raffaello Potestio</p> <p>==================================</p> <p>The dataset contains the following files:</p> <p>- A README file with the description of the pymap program for describing how different selections of *N* out of *n* degrees of freedom (mappings) affect the amount of information retained about a full data set.<br> - The pymap.py program<br> - The pymap.yml support file<br> - The data.tar tarball with the setup data<br> - The results.tar tarball with the output data<br> ===</p>
Dataset for Cicerale, Blanzieri, Sacco - How does decision-making change during challenging periods?
<p>Dataset for experiment 1 (Bataclan terror attacks) and 2 (COVID pandemic - 1st and 2nd wave), results described in Cicerale, Blanzieri, Sacco - How does decision-making change during challenging periods?, submitted to PLOS ONE.</p> <p>Version 2: Added dataset in CSV format, column keys and the original questions in Italian</p>
Additional Material for Debiasing architectural decision-making: a workshop-based training approach
<p>This additional material was created to enable full replication of the experiment described in the paper:<br> "Klara Borowa, Maria Jarek, Gabriela Mystkowska, Weronika Paszko and Andrzej Zalewski: <strong>Debiasing architectural decision-making: a workshop-based training approach</strong>".<br> The paper was accepted for publication at ECSA 2022 (The 16th European Conference on Software Architecture).<br> <br> The folder contains the following files:<br> Coding-details.xlsx - the coding scheme, as well as coding results. Contains all code counts for each team participating in the experiment.<br> Experiment-meeting-plan.pdf - contains the plan for the 3-hour meeting during which the experiment was conducted, as well as a timetable of when each meeting took place and who organised it.<br> Debiasing-workshop-slides.pdf - slides used during the debiasing workshop.<br> Debiasing-workshop-plan.pdf - detailed instruction for workshop organisers, what should be said and done during the workshop.<br> Participants_questionnaire_and_results.xlsx - questionnaire questions used to obtain information about participants, as well as questionnaire results for all 44 participants.</p>
Factorial Survey: Decision Making for Extracorporeal life support (ECLS)
<p>Extracorporeal life support (ECLS) provides support to patients with cardiopulmonary failure refractory to conventional therapy. While ECLS is potentially life-saving, it is associated with severe complications; decision making to initiate ECLS must, therefore, carefully consider which patients ECLS potentially benefits despite its consequences.</p> <p>Data of a factorial survey among 420 physicians from 111 hospitals in Switzerland and Germany.</p>
Magnetoencephalographic spectral fingerprints differentiate evidence accumulation from saccadic motor preparation in perceptual decision-making
<p>This repository contains the dataset of the paper "Magnetoencephalographic spectral fingerprints differentiate evidence accumulation<br> from saccadic motor preparation in perceptual decision-making".</p> <p>The dataset contains the MEG power spectrum of 16 subjects in the source space of a perceptual decision making experiment.</p>
Making connections: Coding, weaving and flamenco
<p>As part of the city-wide Sheffield Showcase weekend across the city in September 2021, live coding musician Lucy Cheesman, researcher/choreographer Rosa Cisneros and researcher/musician Alex McLean collaborated on a drop-in family workshop held at Pitsmoor Scout Hut in Sheffield UK. We explored different kinds of patterns with participants, focussing on the underlying algorithmic structures. In particular we explored weaving patterns using a semi-automated handloom driven by a simple programming language, sonic patterns using the live coding environment TidalCycles, and flamenco patterns using notations and of course our bodies! Film produced by Reel Master Production - https://www.reelmasterproduction.uk This workshop was funded as part of Sheffield Showcase with support from the University of Sheffield and Sheffield City Council, and a UKRI funded 'making connections' grant awarded via the UK Science Festivals Network. The film, and Alex McLean's participation was funded as part of the European Research Council's PENELOPE project.</p>
Supplementary data for Plutniak, S. 2022. "What makes the identity of a scientific method? A history of the 'Structural and analytical typology' in the growth of evolutionary and digital archaeology in southwestern Europe (1950s–2000s)", Journal of Paleolithic Archaeology, vol. 5, 10.
<p>Supplementary data for Plutniak, S. 2022. “What makes the Identity of a Scientific Method? A History of the ‘Structural and analytical typology’ in the Growth of Evolutionary and Digital Archaeology in Southwestern Europe (1950s–2000s)”, <em>Journal of Paleolithic Archaeology</em>. vol 5, 10. DOI: <a href="https://doi.org/10.1007/s41982-022-00119-7">10.1007/s41982-022-00119-7</a>.</p> <p> </p> <p> </p> <p> </p>
Preserving and sharing born-digital and hybrid objects from and across the National Collection (Decision-Making Model)
<p>When considering the complex challenges faced by cultural heritage organisations in collecting, preserving and sharing born digital and hybrid objects, it becomes clear that the process of defining solutions as a community of practice is in its early probing phase: characterised as tentative, exploratory, questioning, experimental. The workshops within this Preserving and sharing born-digital and hybrid objects from and across the National Collection project, which examined the case studies from multiple angles, yielded a richly discursive examination of the main considerations.</p> <p>This Decision Model represents an attempt to create a structured representation of those main considerations and the discourse from the workshops, to codify the main decision-making processes that an organisation may go through when assessing an acquisition of such an object, categorised into high level areas. It attempts to create a traversable system that could be used by collections professionals in their work - policy makers, managers, collections management or digital preservation practitioners, conservators.</p>
Text-fig. 20. Proximal right ulna of an embrithopod from White Patch Bone Site. a: lateral view; b: proximal view (anterior to the left); c: stereo view of the articular surface for the humerus. Note the damaged medial and lateral sides of the articular surface (dotted lines) which makes the distal part of the articular surface look narrower than it would have been in life. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 20. Proximal right ulna of an embrithopod from White Patch Bone Site. a: lateral view; b: proximal view (anterior to the left); c: stereo view of the articular surface for the humerus. Note the damaged medial and lateral sides of the articular surface (dotted lines) which makes the distal part of the articular surface look narrower than it would have been in life.
Making Data Work: A Systematic Mapping of Collaborative Data Curation Practices
<p>This file contains dataset associated with the paper Making Data Work: A Systematic Mapping of Collaborative Data Curation Practices</p>
Making the Most out of a Hydrological Model Dataset: Sensitivity Analyses to Open the Model Black-Box (data and code)
<p>This is "data and code" repository for the Water Resources Research Article 2017WR020401 by Borgonovo et al. (2017): "Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box". Each sub-directory contains the Matlab or R scripts to reproduce all paper plots. </p> <p>Note, that the data of this repository (i.e. under ./data_input ) are identical to the data analysed by Rakovec et al. (2014).</p> <p>References:</p> <ul> <li>Borgonovo, E., Lu, X., Plischke, E., Rakovec, O. and Hill, M. C. (2017), Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box. Water Resour. Res.. Accepted Author Manuscript. doi:10.1002/2017WR020767</li> <li>Rakovec, O., M. C. Hill, M. P. Clark, A. H. Weerts, A. J. Teuling, and R. Uijlenhoet (2014), Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models, Water Resour. Res., 50, 409–426, doi:10.1002/2013WR014063.</li> </ul>
Fig. 1. A in "A character does not make a genus, but the genus makes the character ": three-taxon statement analysis and intuitive taxonomy
Fig. 1. A. Strict consensus of 61 most parsimonious phylogenetic trees; tree length = 90 steps; CI = 0.6000; RI = 0.8302, recovered from a standard cladistic analysis (MP) (Fitch Parsimony) of the complete conventionalmorphologicalmatrixof Atraphaxis s. l. (TableS1).All 27 unordered (non-additive) characters are parsimony informative. B. Strict consensus of two nested most parsimonious hierarchies of patterns; length = 8328 steps; CI = 0.8521; RI = 0.8264), recovered from a MP analysis of the three-taxon statement representation of the complete conventional 27 characters' morphological matrix of Atraphaxis s. l. (Table S1). The number of 3TSs (characters) is equal to 7096, all are parsimony-informative. C. Strict consensus of six most parsimonious phylogenetic trees; tree length = 56 steps; CI = 0.6071; RI = 0.8370, recovered from a MP analysis of the reduced conventional 18 characters' morphological matrix of Atraphaxis s. l. (Table S1) with the characters one, two, four, eight, 12, 16, 18, 19, and 26 excluded. D. Strict consensus of two nested, most parsimonious hierarchies of patterns; length = 5844 steps; CI = 0.8665; RI = 0.8460), recovered from a MP analysis of the three-taxon statement representation of the reduced conventional 18 characters' morphological matrix of Atraphaxis s. l. (Table S1) with characters 1, 2, 4, 8, 12, 16, 18, 19 and 26 excluded. The number of 3TSs (characters) is equal to 5064, all are parsimony-informative. All MP analyses as in PAUP* 4.0a150 (Swofford 2002) were conducted using either conventional matrices or TAXODIUM's output 3TS NEXUS files with a heuristic search of 1000 random addition replicates (saving no more than 100 trees per replicate), and the TBR branch swapping/MulTrees option into effect. Branches with a minimum length of zero were collapsed. The three-taxon statement analysis (3TA) of the unordered morphological matrix was established after it three-taxon (3TS) Williams-Siebert (WS) representation (Williams & Siebert 2000) using TAXODIUM v. 1.2 (Mavrodiev & Madorsky 2012). The 3TS permutations were performed with the following command: taxodium input_file_name. csv –ium –ob –og –nex The value of the operational outgroup was fixed as a value of Bactria lazkovii. All 3TSs were weighted uniformly and treated as ''ordered'' (Wagner Parsimony). The bootstrap resampling of both conventional and 3TS matrices have been performed as described in Mavrodiev & Madorsky (2012). The diagnostic traits are optimized using Mesquite (Maddison & Maddison 2011).
Data and code for "Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making" (CHI 2017)
<p>This repository contains data and analysis code for the following paper:</p> <p>Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, and Matthew Kay. "Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making", Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI 2018. DOI: 10.1145/3173574.3173718<br> </p>
Figure 2. Decision Making Model based on Emotions, Drives, and Different Memory Types
<p>The first model that is briefly introduced is an approach inspired by research findings in<br> neuro-psychology and psychoanalysis (see figure 2). The model considers the environment, the<br> body, and the brain/mind of an artificial being. The environment and the body are perceived via<br> sensors. (Re-)actions can be carried out via actuators. The model focuses on the decision-making<br> process of how to (re-)act according to situations currently perceived. In this decision-making<br> process, there are involved concepts like emotions, desires, drives, and different types of memory as<br> well as concepts like the Ego-Id-Superego model of Sigmund Freud. There are considered fast<br> reactions in form of reflexes and slower reactions that need reflection, thinking, and planning. For a<br> detailed model description, see [14, 17, 18].</p>
Free Open Source Communities Sustainability: Does It Make a Difference in Software Quality?
<p><strong>Context:</strong> Free and Open Source Software (FOSS) communities' ability to stay viable and productive over time is pivotal for society as they maintain the building blocks that digital infrastructure, products, and services depend on. Sustainability may, however, be characterized from multiple aspects, and less is known how these aspects interplay and impact community outputs, and software quality specifically.</p> <p><strong>Objective: </strong>This study, therefore, aims to empirically explore how the different aspects of FOSS sustainability impact software quality.</p> <p><strong>Method: </strong>16 sustainability metrics across four categories were sampled and applied to a set of 217 OSS projects sourced from the Apache Software Foundation Incubator program. The impact of a decline in the sustainability metrics was analyzed against eight software quality metrics using Bayesian data analysis, which incorporates probability distributions to represent the regression coefficients and intercepts.</p> <p><strong>Results: </strong>Findings suggest that selected sustainability metrics do not significantly affect defect density or code coverage. However, a positive impact of community age was observed on specific code quality metrics, such as risk complexity, number of very large files, and code duplication percentage. Interestingly, findings show that even when communities are experiencing sustainability, certain code quality metrics are negatively impacted.</p> <p><strong>Conclusion:</strong> Findings imply that code quality practices are not consistently linked to sustainability, and defect management and prevention may be prioritized over the former. Results suggest that growth, resulting in a more complex and large codebase, combined with a probable lack of understanding of code quality standards, may explain the degradation in certain aspects of code quality.</p>
Exploring the generational influence on social media based tourist decision making in India
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