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189 results for “conceptualization”
Data from: Can conflicting selection from pollinators and nectar-robbing antagonists drive adaptive pollen limitation? A conceptual model and empirical test
<p><span><span><span><span><span><span><span><span><span><span><span>Pollen limitation is widespread, despite predictions that it shouldn't be. We propose a novel mechanism generating pollen limitation: conflicting selection by pollinators and antagonists on pollinator attraction traits. We introduce a heuristic model demonstrating antagonist-induced adaptive pollen limitation, and present a field study illustrating its occurrence in a wild population. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>For antagonist-induced adaptive pollen limitation to occur, four criteria must be met: 1) correlated attraction of pollinators and antagonists, 2) greater response by antagonists than pollinators to altered investment in attraction traits, 3) reduced investment in pollinator attraction leading to pollen limitation, and 4) higher fitness for plants with reduced investment in pollinator attraction.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>We surveyed nectar robbery and reproductive output for 109 <i>Odontonema cuspidatum </i>(Acanthaceae) plants in a pollen-limited population<i> </i>over two years and used experimental floral arrays to evaluate how flower number affects pollination and nectar robbery. Both pollinators and nectar robbers preferred larger floral displays, and nectar robbery reduced reproductive output, suggesting conflicting selection. Survey and experimental data agreed closely on the optimum flower number under antagonist-induced pollen limitation; this number was substantially overrepresented in the population. While criteria for antagonist-induced adaptive pollen limitation are restrictive, the necessary conditions may often be realized. Considering interactions beyond the plant-pollinator dyad illuminates previously overlooked mechanisms generating pollen limitation. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Does tolerance allow bonobos to outperform chimpanzees on a cooperative task? A conceptual replication of Hare et al., 2007
<p><span>Across various taxa, social tolerance is thought to facilitate cooperation, and many species are treated as having species-specific patterns of social tolerance. Yet studies that assess wild and captive bonobos and chimpanzees result in contrasting findings. By replicating a cornerstone experimental study on tolerance and cooperation in bonobos and chimpanzees (Hare et al., 2007</span><span> <em>Cur. Biol</em>. </span><span>17</span><span>, 619–623</span><span>), we aim to understand whether current discrepant findings may result from noise, methodological differences, or behavioural variability. We tested bonobos and chimpanzees housed at the same facility in a co-feeding and cooperation task. Food was placed on dishes located on both ends or in the middle of a platform. In the co-feeding task, the tray was simply made available to the ape duos, whereas in the cooperation task the apes had to simultaneously pull at both ends of a rope attached to the platform to retrieve the food. In contrast to the published findings, b</span><span>onobos and chimpanzees co-fed to a similar degree, indicating a similar level of tolerance. However, bonobos cooperated more than chimpanzees when the food was monopolizable, which replicates the original study. Our findings call into question the interpretation that at the species level bonobos cooperate to a higher degree because they are inherently more tolerant.</span></p>
Structured Literature Review for a Conceptualization of Function as a Service
<p>This bundle contains for every step in the structured literature review (SLR) a bibliography file.</p> <p>Here are the three URLs for the search on the respective search engine:</p> <p>Search strings on the three search engines:</p> <ul> <li>https://ieeexplore.ieee.org/search/searchresult.jsp?action=search&newsearch=true&matchBoolean=true&queryText=(%22All%20Metadata%22:%22Function%20as%20a%20Service%22%20OR%20%22All%20Metadata%22:%22FaaS%22%20OR%20%22All%20Metadata%22:%22Serverless%22)%20AND%20(%22Full%20Text%20.AND.%20Metadata%22:%22definition%22)&highlight=true&returnType=SEARCH&matchPubs=true&rowsPerPage=100&pageNumber=1&returnFacets=ALL</li> <li>https://dl.acm.org/action/doSearch?fillQuickSearch=false&target=advanced&expand=all&AllField=Abstract%3A%28%28%22Function+as+a+Service%22+OR+%22FaaS%22+OR+%22Serverless%22%29%29+AND+AllField%3A%28%22definition%22%29</li> <li>https://scholar.google.de/scholar?hl=en&as_sdt=0%2C5&q=%28%22Function+as+a+Service%22+OR+%22FaaS%22+OR+%22Serverless%22%29+AND+%22definition%22&btnG=</li> </ul> <p>The result of each step:</p> <ul> <li>Step 1 contains the raw list of all 471 entries.</li> <li>Step 2 contains a list of 40 papers after filtering the papers from step 1</li> <li>Step 3 contains a list of 19 papers after skimming the papers from step 2 and selecting the relevant ones</li> <li>Step 4 contains the snowballed papers, in total 27</li> <li>Step 5 contains the final set of 23 papers where the snowballed papers were assessed.</li> </ul> <p>The PDF (slrDefinition) shows the process of the SLR, whereas the spreadsheet (slr_faasConceptualization) contains all the information why papers where included/excluded as well as the characteristics identified in each paper.</p> <p>Furthermore, it includes the two CNCF definitions for Serverless and Function as a Service for archiving purposes.</p>
dataset of paper Bibliometric Analysis of Veterinary Medicine on Embryo of Animals in Textbook in Conceptualizing Disease
<p>this is the dataset of meta-data of books and book chapter downloaded from scopus website using subscription service</p>
Dataset of the Article Evaluating a Framework of Conceptual Modelling Research through a Family of Experiments
<p>Data set of the article "Evaluating a Framework of Conceptual Modelling Research through a Family of Experiments". Contains the results of:</p> <p>-Demographic questionnaire</p> <p>- Agreement and correctness of Paper A</p> <p>- Agreement and correctness of Paper B</p> <p>- Agreement and correctness of Paper C</p> <p>-Satisfaction questionnaire</p> <p>-Procedure and Pros and Cons of the framework</p>
On the de novo emergence of ecological interactions during evolutionary diversification: A conceptual framework and experimental test
<p><span>Ecological interactions are crucial to the structure and function of biological communities, but we lack a causal understanding of the forces shaping their emergence during evolutionary diversification. Here we provide a conceptual framework linking different modes of diversification (e.g. ecological diversification), which depend on environmental characteristics, to the evolution of particular interactions (e.g. resource partitioning) in asexual lineages. We tested the framework by examining the net interactions in communities of <em>Pseudomonas aeruginosa</em> produced via experimental evolution in nutritionally simple (SIM) or complex (COM) environments by contrasting the productivity and competitive fitness of whole evolved communities relative to their component isolates. As expected, we found that nutritional complexity drove the evolution of communities with net positive interactions whereas SIM communities had similar performance as their component isolates. A follow-up experiment revealed that high fitness in two COM communities was driven by rare variants (frequency <0.1%) that antagonized PA14, the ancestral strain and common competitor used in fitness assays. Our study suggests that the evolution of <em>de novo</em> ecological interactions in asexual lineages is predictable at a broad scale from environmental conditions. Further, our work demonstrates that rare variants can disproportionately impact the function of relatively simple microbial communities.</span></p>
Photovoice: definición, marco conceptual y pasos
<p>En este vídeo Aloe Cubero (URV), investigadora predoctoral y docente del departamento de pedagogía, introduce la metodología de photovoice junto con una guía para su implementación en el contexto del aula. Presentación elaborada por Aloe Cubero (URV) y Rocío Garrido (US) en el marco del proyecto Transversalizando las sensibilidades a las violencias sexuales y de género en las universidades a través de la práctica del Photovoice (2020 INDOV00003).</p> <p>Project link: http://www.innovaciondocentegenero.eu/photovoice/ </p>
Photovoice: definició, marc conceptual i passos a seguir
<p>En aquest vídeo Barbara Biglia, investigadora i docent del departament de pedagogia de la URV, introdueix la metodologia de photovoice juntament amb una guia per a la seva implementació en el context de l'aula. Presentació elaborada per Aloe Cubero (URV) i Rocío Garrido (US) en el marc del projecte Transversalitzant la sensibilitat cap a les Violencies sexuals i de gènere a les universitats a través de la pràctica del Photovoice (2020 INDOV00003).</p> <p>Link: http://www.innovaciondocentegenero.eu/photovoice/</p>
Manually Annotated Event Log of Users Prompts in LLMs for Conceptual Modeling
<p>This repository contains the supplementary material for our paper at ER 2024 Conference. </p> <p>The data contains the results of an empirical study with 76 undergraduate information systems students. The students submitted the course assignments in 39 groups (of one or two students). The assignment used for the study required use case modeling with UML use case diagrams and domain modeling with UML class diagrams. The groups were first expected to interact with an LLM and then, if needed, to manually improve their models. Groups were randomly assigned to interact with either GPT 4.0 or Code Llama 34B Instruct in one of three application domains. </p> <p>The participants were instructed to engage with the LLM until they were satisfied with the results or opted to skip further refinement. The interaction log contains the following fields: User ID, Input (the user prompt), Response (the modeling artifacts), and the Prompt Number (within user ID).</p>
Supplementary material for "Learning Conceptual Modeling: Structuring Overview, Research Themes and Paths for Future Research"
<p>This material containing a list of the bibliographical data of the final sample and the raw data set of 345 publications before excluding publications outside of our focus supplements the following literature review:</p> <p>Rosenthal, Kristina; Ternes, Benjamin; Strecker, Stefan, (2019). “Learning Conceptual Modeling: Structuring Overview, Research Themes and Paths for Future Research”. In: Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm and Uppsala, Sweden, June 8–14, 2019.</p>
HOPS Study: A Conceptual Replication
ClinicalTrials.gov study NCT04465708. IPD Sharing: NO. Countries: 1. Publications: 6.
Data from: Tropical tree species traits drive soil cation dynamics via effects on pH: a proposed conceptual framework
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Pronouns reactivate conceptual representations in human hippocampal neurons
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Identifying conceptual neural responses to symbolic numerals
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Data from: A conceptual model for the eiapause intensity curve and termination in overwintering Japanese Pine Sawyer larvae, <em>Monochamus alternatus</em> (Coleoptera: Cerambycidae)
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Data from: The metapopulation bridge to macroevolutionary speciation rates: a conceptual framework and empirical test
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Supplemental data from: A conceptual classification scheme of invasion science
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Data from: Testing conceptual models of early plant succession across a disturbance gradient
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Conceptualizing relationships among hyporheic exchange, storage, and water age: data represented in published figures
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On the de novo emergence of ecological interactions during evolutionary diversification: A conceptual framework and experimental test
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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.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.