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128 results for “model design”
Instructional Design Models Score Ranking
<p>Here we present selected 17 instructional design models (IDMs) from our previous study (Cajnko, M. M., Pavlin, M., Likozar, B., Vasilakis, C., Tsovou, S., Chaundry, S. R., Kapal, D., van Leeuwen, M., Miloshevski, V., Toman, Y., Deniz, B., Şensoy Mercan, N., Pavitola, L., Memmedova, S., Verdiyeva, L., Sarsar, F., & Andiç Çakır, Ö. (2024). Instructional Design Models [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10900874) that were quantitatively evaluated by 20 experts from different countries (Azerbaijan, Greece, Ireland, Italy, Slovenia, Spain, and Türkiye) according to their suitability for the use in the engineering education. Evaluation was performed based on 12 statements, where each statement was quantitatively evaluated with values from 0 to 3 (0: Absolutely not suitable; 1: Partially suitable structure; 2: Moderately suitable structure; 3: Suitable structure), resulting in the total score of 36 for each model. The 12 statements were: </p> <p>1. Suitability for engineering education;<br>2. Suitability for virtual laboratories studies;<br>3. Suitability for technology integration;<br>4. Suitability for project-based work;<br>5. Suitability for active learning strategies;<br>6. Suitability for students with any disability;<br>7. Suitability for interdisciplinary design;<br>8. Suitability for cross-cultural practices;<br>9. Suitability for student feedback;<br>10. Suitability for instructor feedback;<br>11. Suitability for assessment and evaluation;<br>12. Suitability for reusability.</p> <p>The preliminary score of each IDM was obtained by averaging the scores of 20 experts and the standard deviation was calculated. Next, the scores of each IDM that lied outside of the average score ± 2*standard deviation was eliminated and the new average value was calculated. This process was repeated until all the remaining scores lied withing average score ± 2*standard deviation. The final score of all IDMs is reported on the first page of this dataset, while scoring of each expert are reported on subsequent pages.</p> <p>The five best scored IDMs are Instructional design model for unified eLearning, Assure model, Agile instructional design, Kemp, Morrison, and Ross model – Effective instructional design model, and ADDIE.</p> <p>This created dataset has been added as a database to the VILLAGE project web page (<a href="https://www.thevillageproject.eu/idmodelsdatabase/">https://www.thevillageproject.eu/idmodelsdatabase/</a>)</p>
Dataset for "Large Language Models as molecular design engines"
<ol> <li><strong>claude-gpt-paper.zip :</strong><br><br>This dataset contains data and results associated with the paper "Large Language Models as molecular design<br>engines" The paper investigates the use of large language models, specifically Claude 3 Opus, for generating and analyzing chemical structures based on various prompts from A-H (as mentioned in the manuscript), and guided design related to electron-withdrawing groups (EWG), electron-donating groups (EDG).</li> </ol> <p>The dataset includes:</p> <ol> <li>PM7 MOPAC energy calculations for generated molecules, along with their SMILES representations and molecule IDs.</li> <li>PM7-calculated charges for the generated molecules.</li> <li>Output files from the Claude 3 Opus language model for each prompt category along.</li> <li>Original dataset (subset of ZINC database) used to build common keys and the initial design space.</li> <li>JSON file containing common keys for featurizing unknown SMILES.</li> <li>PCA object to convert molecule embeddings to 3-dimensional embeddings.</li> </ol> <p>The data is organized into the following folders:</p> <ul> <li><code>pm7_charge_results</code>: Contains HOMO-LUMO energy differences for plotting.</li> <li><code>pm7_charge_calculation</code>: Contains PM7 MOPAC energy calculations and charges.</li> <li><code>out</code>: Contains output files from the Claude 3 Opus language model.</li> <li><code>fact-dropbox</code>: Contains the original dataset, common keys, and PCA object file.</li> </ul> <p>The data can be used to reproduce the results presented in the paper and serve as a foundation for further research in this area.</p> <p>For a detailed description of the folder structure and contents, please refer to the File_descriptions.md file included in the dataset.<br><br><br>2. llm-visulizer-dashapp.zip<br><br>This is the code for the visualizer app for viewing the molecules generated by the LLM. The README.md file has details about running the app.</p> <p>3. claude-gpt-paper-codes.zip </p> <p>This contains the notebook GPT_modification_just_plots.ipynb for plotting, and other codes. The README.md file has details about running the main notebook for getting the plots.</p>
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization
<p>This is the data and source code used in the paper below:</p> <p>Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff and Thomas Bäck, “An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization”, in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019, doi: 10.1109/SSCI44817.2019.9002805</p> <p>This research investigates the potential of using meta-modeling techniques in the context of robust optimization namely optimization under uncertainty/noise. A systematic empirical comparison is performed for evaluating and comparing different meta-modeling techniques for robust optimization. The experimental setup includes three noise levels, six meta-modeling algorithms, and six benchmark problems from the continuous optimization domain, each for three different dimensionalities. Two robustness definitions: robust regularization and robust composition, are used in the experiments. The meta-modeling techniques are evaluated and compared with respect to the modeling accuracy and the optimal function values. The results clearly show that Kriging, Support Vector Machine and Polynomial regression perform excellently as they achieve high accuracy and the optimal point on the model landscape is close to the true optimum of test functions in most cases.</p>
A CO2 valorization plant to produce light hydrocarbons: kinetic model, process design and life cycle assessment
<p>Supplementary material: Reaction indexes, Conservation equations, boundary conditions and used coefficients. Additional experimental results, Experimental data fitting, Stream properties and composition of the CO2 plant, Life Cycle Assessment indicators, assumptions and data input </p>
Instructional Design Models
<p>Here we present a comprehensive overview of all available instructional design models (IDMs). In the second column is the name of the model, in the third a short background of the model, and in the fourth short description of the model. The table is complemented with a scheme of each IDM in the fifth column and with the list of references and suggested further readings of specific IDM in the sixth column. This created dataset has been added as a database to the VILLAGE project web page (<a title="https://www.thevillageproject.eu" href="https://www.thevillageproject.eu" target="_blank" rel="noopener">https://www.thevillageproject.eu</a>)</p>
Privacy-by-Design Maturity Model: literature review, coding, model creation and evaluation
<p>Results from two multivocal literature reviews (MLRs) and subsequent coding, formulation of capabilities and dependencies, creation of maturity matrix and evaluation results. Used in the creation of a PbD domain model and extraction of core activities for PbD in Information Systems design. Part of the <a href="https://www.privacymaturity.org/" target="_blank" rel="noopener">Privacy-by-Design Maturity</a> research project by the <a href="https://www.uu.nl/en/research/ai-labs/ai-lab-for-the-public-services" target="_blank" rel="noopener">AI Lab for Public Services</a>.</p>
Design of a new model yeast consortium for ecological studies of enological fermentation
<p>Dataset describing the characterization of a new 6-species yeast consortium representative of wine yeast diversity, as well as its application as proof-of-concept to explore the diversity-functionnality relationship in microbial community.</p> <p>It includes the data, scripts, figures, tables, and additional informations pertaining to the article "Design of a new model yeast consortium for ecological studies of enological fermentation" to be submitted.</p>
MiRoR4_P1_A systematic review describes models for recruitment prediction at the design stage of a clinical trial
<p>This dataset is related to the publication "A systematic review describes models for recruitment prediction at the design stage of a clinical trial".</p>
Candidate compounds from the design of covalent Bruton's tyrosine kinase (BTK) inhibitors via focused deep generative modeling
<pre>A total of 1491 candidate inhibitors for covalent inhibition of BTK are deposited as SMILES strings together with 34 known covalent BTK inhibitors used to guide generative computational design. The study will be reported in a publication in Molecules under the authors' names.</pre>
ARCHIMED-φ simulation files for the simulation of Design A from the article "When architectural plasticity fails to counter the light competition imposed by planting design: an in silico approach using a functional-structural model of oil palm"; in silico Plants journal
<p>Input files for the simulation of Design A in ARCHIMED-φ from the article "When architectural plasticity fails to counter the light competition imposed by planting design: an in silico approach using a functional-structural model of oil palm"; in silico Plants journal.</p> <p>See https://archimed-platform.github.io/archimed-phys-user-doc/ for more details on the model.</p> <p>Make a simulation by opening a terminal at the root of the folder and type: `java -jar .\archimed-phys.jar .\DesignA_MockUpA_seed1_MAP_72.yml`.</p>
Research compendium for 'The contribution of integrated 3D model analysis to Protoaurignacian stone tool design'
<p><strong>Abstract:</strong> Protoaurignacian foragers relied heavily on the production and use of bladelets. Techno-typological studies of these implements have provided insights into important aspects of cultural variability. However, new technologies have seldom been used to quantify patterns of stone tool design. Taking advantage of a new scanning protocol and open-source software, we conduct the first 3D analysis of a Protoaurignacian assemblage, focusing on the selection and modification of blades and bladelets. We study a large sample of complete blanks and retouched tools from the early Protoaurignacian assemblage at Fumane Cave in northeastern Italy. Our main goal is to validate and refine previous techno-typological considerations employing a 3D geometric morphometrics approach complemented by 2D analysis of cross-section outlines and computations of retouch angle. The encouraging results show the merits of the proposed integrated approach and confirm that bladelets were the main focus of stone knapping at the site. Among modified bladelets, various retouching techniques were applied to achieve specific shape objectives. We suggest that the variability observed among retouched bladelets relates to the design of multi-part artifacts that need to be further explored via renewed experimental and functional studies.</p> <p><strong>Overview of contents:</strong></p> <p>01. AGMT3-D project of the first dataset used in the study;</p> <p>02. AGMT3-D project of the second dataset used in the study;</p> <p>03. Raw outline data of the middle cross-section. Each specimens has a dedicate .txt file;</p> <p>04. Raw outline data of the upper cross-section. Each specimens has a dedicate .txt file;</p> <p>05. Angles3-D project with all files generated by the software (.mat and .xlsx formats) to quantify the mean retouch angle of retouched bladelets;</p> <p>06. R project and scripts for the 1) 2D shape analysis of the middle and upper cross-sections of retouched bladelets and the 2) design of all bivariate plots and boxplots with jittered points used in the paper. All related datasets, principal components, and generated figures are included in the folder;</p> <p>07. Folder with all figures published in the paper and in its supplementary materials;</p> <p>08. Dataset of the first study in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>09. Dataset of the second study in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>10. Dataset for the study of the upper cross-sections in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>11. Dataset for the study of the middle cross-sections in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>12. Dataset in .csv used to study the mean retouch angles;</p> <p>13. Supplementary information file in .pdf with all supplementary figures and tables.</p> <p><strong>Extra</strong>: All 3D meshes of blades and bladelets are available on Zenodo following this link: https://doi.org/10.5281/zenodo.6362150.</p>
Model output data and code for Zhang et al., Cross-cutting scenarios and strategies for designing decarbonization pathways in the transport sector toward carbon neutrality
<p>Model output data and code for "Zhang et al., Cross-cutting scenarios and strategies for designing decarbonization pathways in the transport sector toward carbon neutrality" in Nature Communications.</p>
Exploiting Pretrained Biochemical Language Models for Targeted Drug Design
<p>This repository contains materials for the paper,<em> Exploiting Pretrained Biochemical Language Models for Targeted Drug Design, </em>which<em> </em>has been accepted for publication in <em>Bioinformatics</em> Published by Oxford University Press.</p> <p><em>data.zip</em> contains vocabulary files for the pretrained models, additional information regarding proteins (PFAM family, protein similarity) and interactions filtered from <a href="https://www.bindingdb.org/bind/index.jsp">BindingDB</a> which are further split into train, validation and test sets and used to train target specific molecule generation models. </p> <p><em>models.zip </em>includes files for the models trained in this study. </p> <p><em>predictions.zip </em>comprises the compounds generated with the targeted models and the result of their evaluation with respect to benchmarking metrics. </p> <p><em>docking.zip </em>contains <em>targets/ </em>including PDB files of the test proteins selected for docking evaluation, <em>ligands/ </em>including SDF files for molecules generated with the targeted models and two decoding strategies (i.e. beam search and sampling) and <em>complex/ </em>including docking outputs. </p> <p> </p> <p> </p>
Figures of Smart Contract Design via Modeling Environment: A proposal based on DasContract DSL
<p>Figures of "Smart Contract Design via Modeling Environment: A proposal based on DasContract DSL".</p>
High-throughput metabolomics for the design and validation of a diauxic shift model
<p>Untargeted metabolomics on ten different regulatory strains in <em>Saccharomyces cerevisiae, </em>(BY4741). Samples were taken before and after the diauxic shift, to investigate regulatory consequences of gene deletions and their roles during the substantial metabolic reconfiguration that is the diauxic shift. The analysis of samples was performed on an Agilent UHPLC-qTOF-MS system which consisted of a 1290 II Infinity series UHPLC system with a 6550 UHD iFunnel accurate-mass qTOF spectrometer.</p> <p>Data-set used in: <a href="https://www.nature.com/articles/s41540-023-00274-9">High-throughput metabolomics for the design and validation of a diauxic shift model</a></p>
Figure 2. Catadioptric projection modelled by the unit sphere-Design and Implementation of a Fully Autonomous UAV's Navigator Based on Omni-directional Vision System
<p>Since the beginning of UAV, the map building was one of the most addressed problems by<br> researchers. Several researchers used Omni directional vision for robot navigation and map<br> building. Because of the wide field of view in Omni directional sensors, the robot does not need to<br> look around using moving parts (cameras or mirrors) or turning the moving parts. The global view<br> offered by Omni directional vision is especially suitable for highly dynamic environments. The<br> Omni directional vision system consists of a hyperbolic mirror, a USB color digital camera<br> (Logitech C905) and a regulation device.</p>
Figure 1. Experimental unit model built with a 150 in Design and optimization of an experimental maintenance system for yellow clam broodstock Amarilladesma mactroides (Reeve, 1854)
Figure 1. Experimental unit model built with a 150 mm PVC pipe and coupling, used in the maintenance of yellow clam (Amarilladesma mactroides) broodstock in the laboratory.
Figure 5. A front view of the "Mary and John Gray Library"-Modeling, Designing, and Implementing an Avatar-based Interactive Map
<p>Figure 5 represents the avatar standing outside and in front of the Mary and John Gray Library after selecting the option “Library”. The library’s main purpose is to facilitate students with a variety of scholarly information within the overall composition of the University’s stated mission. Figure 5 shows the path generated by A* algorithms with a red color.</p>
Figure 3. The 'Welcome Screen' of our implementation-Modeling, Designing, and Implementing an Avatar-based Interactive Map
<p>Figure 3 shows an avatar ready to start the game. The user has the option to click the button called ‘Go Cardinals! Start’ Button. Once that happens, the avatar gets to choose going to one of the buildings of interest mentioned above.</p>
Figure 1. The Statechart for the Player movement and the Navigation System-Modeling, Designing, and Implementing an Avatar-based Interactive Map
<p>The next section describes the Unified Modelling Language (UML) diagrams designed for the project, which are a state diagrams (also known as statecharts) for the Player movement, the Navigation system (Figure 1). In addition, we used a class diagram for the Player and Camera movement (Figure 2). When the avatar-based game starts, the state of the Player is Idle, i.e., Player_IDLE. When the user selects the building, it enables the navigation path towards the destination. If the user selects any arrow keys (Right, Left & Up) the state of the player will change to running (i.e., Player_Running). Also, the path will diminish along with the player movement; hence, the state of navigation path will change to Changing_Path.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.