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2,235 results for “engineering”
''Do you have time for a quick call?": Exploring Remote and Hybrid Requirements Engineering Practices and Challenges in Industry
<p>This replication package contains the survey and interview questions, list of codes derived from the analysis, and the survey respondent demographics from the paper titled <em><strong>''Do you have time for a quick call?": Exploring Remote and Hybrid Requirements Engineering Practices and Challenges in Industry </strong></em>accepted to International Requirements Engineering Conference 2024. </p>
Data from: Engineering self-deliverable ribonucleoproteins for genome editing in the brain
<p>The delivery of CRISPR ribonucleoproteins (RNPs) for genome editing <em>in vitro </em>and <em>in vivo</em> has important advantages over other delivery methods, including reduced off-target and immunogenic effects. However, effective delivery of RNPs remains challenging in certain cell types due to low efficiency and cell toxicity. To address these issues, we engineered self-deliverable RNPs that can promote efficient cellular uptake and carry out robust genome editing without the need for helper materials or biomolecules. Screening of cell-penetrating peptides (CPPs) fused to CRISPR-Cas9 protein identified potent constructs capable of efficient genome editing of neural progenitor cells. Further engineering of these fusion proteins identified a C-terminal Cas9 fusion with three copies of A22p, a peptide derived from human semaphorin-3a, that exhibited substantially improved editing efficacy compared to other constructs. We found that self-deliverable Cas9 RNPs generated robust genome edits in clinically relevant genes when injected directly into the mouse striatum. Overall, self-deliverable Cas9 proteins provide a facile and effective platform for genome editing <em>in vitro</em> and <em>in vivo</em>.</p>
Replication Package: Product-Line Engineering for Smart Manufacturing: A Systematic Mapping Study on Security Concepts
<p><strong>Welcome to the public repository for the additional content of the paper "Product-Line Engineering for Smart Manufacturing: A Systematic Mapping Study on Security Concepts", accepted at the ICSOFT 2024.</strong></p> <p>This repository provides additional information to the conducted mapping study, including the following file:</p> <ul> <li>analysis_sheet_ICSOFT2024.csv: sheet containing information regarding the analysis results of 43 included papers based on the extraction criteria.</li> </ul>
Engineering the Compositional Architecture of Core-Shell Upconverting Lanthanide-Doped Nanoparticles for Optimal Luminescent Donor in Resonance Energy Transfer: The Effects of Energy Migration and Storage
<p>Förster Resonance Energy Transfer (FRET) between single molecule donor (D) and acceptor (A) is well understood from fundamental perspective and is widely applied in biology, biotechnology, medical diagnostics and bio-imaging. However, the reliability of molecular FRET measurements can be affected by numerous artefacts which eventually hamper quantitative and reliable analysis, mostly due to issues with the donor and acceptor molecules. Lanthanide doped upconverting nanoparticles (UCNPs) have demonstrated their suitability as alternative donor species. Nevertheless, while they solved most disadvantageous features of organic donor molecules, such as photo-bleaching, spectral cross-excitation and emission bleed-through, the fundamental understanding and practical realizations of bio-assays with UCNP donors remain challenging. Among others, the actual donor ions in individual donor UCNPs are the numerous activator ions randomly distributed in the nanoparticle at various distances to acceptors anchored on the nanoparticle surface. Further, the power dependent, complex energy transfer upconversion and energy migration between sensitizing and activating lanthanide ions within UCNPs complicate the decay based analysis of <strong><em>D</em></strong>-<strong><em>A</em></strong> interaction. In this work, the assessment of designed virtual core-shell nanoparticle (VNP) models led us to the new designs of UCNPs, such as …@Er, Yb@Er, Yb@YbEr, which were experimentally evaluated as donor nanoparticles and compared to the simulations. Moreover, the specific properties of lanthanide-based upconversion motivated us to analyze not only steady-state luminescence and luminescence decay responses of both the UNCP donor and the sensitized acceptor, but also the effects of their luminescence rise kinetics upon RET was discussed in newly proposed disparity measurements. The presented studies help to understand the role of energy-transfer and energy migration between lanthanide ion dopants (due to their concentration and spatial distribution) and how the architecture of core-shell UCNPs affects their performance as FRET donors to organic acceptor dyes.</p>
Harmonising Contributions: Exploring Diversity in Software Engineering through CQA Mining on Stack Overflow
<p>Community question-and-answering platforms dedicated to software engineering, such as Stack Overflow, have assumed indispensable roles in fostering a thriving global knowledge ecosystem. As these platforms suffer from diversity-related issues, investigating the underlying reasons behind such challenges becomes imperative to devise potential intervention strategies.</p> <p>The proposed study highlights Stack Overflow users’ contribution profiles, both in isolation and relative to various diversity metrics, including GDP and access to electricity. Finally, the study explores whether these contribution profiles extend to the city and state levels.</p> <p>This replication package complements our study, prompting future scholars to further examine our research process or conduct follow up analyses.</p>
Engineering Machine Learning features to predict adsorption of carbon dioxide and nitrogen in metal-organic frameworks
<p>This repository contains CIF files for metal-organic frameworks and Grand canonical Monte Carlo (GCMC) simulation results for the article <em>Engineering Machine Learning features to predict adsorption of carbon dioxide and nitrogen in metal-organic frameworks</em> by Zijun Deng and Lev Sarkisov.</p>
Engineering DszC Mutants from Transition State Macrodipole Considerations and Evolutionary Sequence Analysis
<p>Gaussian input and output files required to reproduce the results and analyses in the work.</p> <p>Code required to conduct analysis and representation.</p>
AutoML Applied to Time Series Analysis Tasks in Production Engineering
<p>The dataset is accompanying the paper "AutoML Applied to Time Series Analysis Tasks in Production<br>Engineering" (<a href="https://doi.org/10.1016/j.procs.2024.01.085" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2024.01.085</a>). It contains the experimental data referred to in the paper as "KIOptiPack".</p>
Prospects for Quantum Software Engineering in the Next Decade - Supplementary material
<p>This supplementary material corresponds to the study "<em>Prospects for Quantum Software Engineering in the Next Decade</em>" for the Software Engineering in 2030 Workshop (SE2030).</p> <p>In this supplementary material you will find the papers found in the search for the terms "<em>Quantum Software Engineering</em>" in the bibliographic databases of Scopus and Google Scholar, as well as their evolution since 2004.</p>
Data from: Exploring the macroevolutionary impact of ecosystem engineers using an individual-based eco-evolutionary simulation
<p>Ecosystem engineers can radically reshape ecosystems by modulating the availability of resources to other organisms through modifying either physical or biological aspects of the environment. The introduction or removal of ecosystem engineers from otherwise stable ecosystems can impact the diversity of co-occurring species, such as driving local extinctions of native taxa. While these impacts are well established over ecological timescales for a wealth of taxa, the macroevolutionary implications of the onset of ecosystem engineering behaviours are less clear. Despite this uncertainty, ecosystem engineering has been implicated in several major transitions in Earth's history including the appearance of extensive bioturbation during the Cambrian substrate revolution and associated Ediacaran-Cambrian turnover and the Great Oxygenation Event. Whether ecosystem engineers are frequently associated with turnover and extinction in deep time is not known. Here we investigate this with an eco-evolutionary simulation framework in which we assign lineages the ability to impact the fitness of co-occurring taxa through phenotype-environment feedback. We explore numerous conditions, including how frequently these feedbacks occur, and whether ecosystem engineers modify or create niches. We show that there is no general expected outcome from the introduction of ecosystem engineers. In a minority of runs, ecosystem engineering lineages completely dominate, rendering all others extinct, but in others, they persist (but do not dominate), or die out. We suggest that ecosystem engineers have complex impacts but possess the capacity to profoundly shape diversity, and it is appropriate to consider them alongside other exogenous extinction drivers in deep time. </p>
Phosphate Sensor Search Engine (P-SENSEE) Snapshot
<p>We demosntrate a snapshot of the Phosphate Sensor Search Engine (P-SENSEE) for EuroSensors 2024, which represents a small select fraction of the database collected by our team.</p>
Optimizing Small Business Operations through Information Architecture and Enterprise Engineering
<p> </p> <p>This research paper investigates the critical significance of information architecture and enterprise engineering in streamlining small business operations for continued expansion and competitiveness. ( Carrasco Ramirez, J. G. (2024).</p> <p> With rapid technological developments and shifting customer demands, small businesses confront mounting challenges to adjust and flourish amid change. Drawing upon academic sources and practical findings, this study reveals how purposeful implementation of information ( Carrasco Ramirez, J. G. (2024) architecture enables effective data handling, knowledge sharing, and decision-making mechanisms within small organizations.Ramírez, J. G. C. (2023)</p> <p>Additionally, it outlines the tenets of enterprise engineering, stressing the need for creating coherent business frameworks, processes, and systems to maximize operational efficacy and resource allocation. By integrating information architecture and enterprise engineering approaches, small businesses can bolster their organizational resiliency and maintain a competitive edge in today's dynamic marketplace.</p> <p> Central to these strategies is the development and implementation of comprehensive business plans. This abstract explores the significance of business planning in driving effective management strategies, highlighting its role in guiding decision-making, fostering organizational alignment, and facilitating proactive adaptation to changing market conditions. (Carrasco Ramirez, J. G. (2024).</p> <p> </p> <p> </p> <p> </p> <p> </p>
Supplemental Material to Doctoral Thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses"
<p>This set supplements the figure data to the doctoral thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses", DOI: <a href="https://doi.org/10.14279/depositonce-19144">10.14279/depositonce-19144</a></p>
Replication Package: Pandemic Startup Software Engineering: An Experience Report on the Development of a COVID-19 Certificate Verification System
<p><strong>Welcome to the public repository for the additional content of the paper "Pandemic Startup Software Engineering: An Experience Report on the Development of a COVID-19 Certificate Verification System" (Journal of Systems and Software)<br></strong></p> <p>This repository provides additional information to the experience report, including the following files:</p> <ul> <li>survey_questions_de.txt: sheet containing the online questionnaire in German (original language)</li> <li>survey_questions_en.txt: sheet containing the online questionnaire translated into English</li> <li>survey_answers_original.csv: sheet containing the extracted questionnaire data of the participants in German (original language)</li> <li>survey_analysis.csv: sheet containing the analysis of the extracted questionnaire data in English</li> </ul>
BEHAV3D: A 3D live imaging platform for comprehensive analysis of engineered T cell behavior and tumor response
<p>The use of patient-derived material and immune cell co-cultures in modeling immune-oncology has gained significant interest for understanding and manipulating immune cell tumor targeting in a patient-specific context. However, current protocols have limitations in visualizing and analyzing the dynamic cellular features of these living culture systems. We recently developped a workflow names BEHAV3D, that combines multi-color live 3D imaging and computational tools to analyze cell death dynamics, classify T cell behavior, and generate data-informed 3D images and videos. Here we provide some example pre-processed dataset of videos of two co-culture set ups: breast cancer Patient Derived Organoids with αβ T cells engineered to express a γδ TCR (TEGs) and Acute Lymphoblastic Leukemia cells with CD19 CART cells.</p>
Dataset: Inertial effects in discrete sampling information engines
<p>This record includes the data used for article "Inertial effects in discrete sampling information engines", published in Europhysics Letter (doi: 10.1209/0295-5075/ad8bf0). The preprint is included is this record as "Inertial information engines.pdf"</p> <h3>Long 𝜏 limit (Figs. 4 and 5)</h3> <p>The matlab script LongTauAnalyse.m convert raw time acquisitions of the cantilever deflection for various demon protocols from the data files in zip folders LongTauDataPosh.zip and LongTauDataNegh.zip to create files LongTauDataPosh.mat and LongTauDataNegh.mat. In these two files, for each protocol (set of parameters L and h), 12400 independent readings of the cantilever position, of the initial and final well position, and of the work performed by the demon are recorded. They are used to plot the work distribution for each parameter set (Fig. 4), and the mean value of the work (Fig. 5). The matlab script readbindata.m is a dependency of the main script LongTauAnalyse.m.</p> <h3>Data files</h3> <p>The archive Data.zip contains the data used to plot the figures. These are pre analysed data. From raw data, all the switching events are detected and for each events different quantities are computed and stored using Python in a dictionnary of numpy arrays. Each file can be loaded as a dictionnary containing several fields: <br>w : work exchanged during a switch of the potential, computed using Stratonovich convention<br>w_el : work computed as a difference of potential energy<br>q : heat exchanged<br>trap_position : value of L during the experiment<br>hysteresis : value of h during the experiment<br>duration : time to the previous switch event<br>tau_wait : value of 𝜏 </p> <h3>Python files</h3> <p>The archive python.zip contains all the python code used to plot the figures from the pre analysed data.<br>figures_large_tau : figure 4 and 5<br>figures_variation_tau : figure 6<br>figures_pdf_tau_inter : figure 7<br>figures_pdf_short_tau : figure 8<br>figures_comparaison_maps : figure 9<br>figures_info_large_tau : figure 11</p> <p>plot_style_full is the matplotlib configuration file and traitement_stat.py is a dependency of the other python scripts.<br><br><br></p>
Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery - Dataset
<h1>Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery - Dataset</h1> <h2> </h2> <h2>Dataset corresponding to <a href="https://doi.org/10.1145/3672608.3707798">https://doi.org/10.1145/3672608.3707798</a></h2> <div>This is the dataset corresponding to <a href="https://doi.org/10.1145/3672608.3707798">https://doi.org/10.1145/3672608.3707798</a> "Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery" with the goal of providing a systematic method to discover state-of-the-art security knowledge, focused on threats, measures, and properties from science and project literature with minimal manual effort, and providing software engineers with the awareness and means they need to apply the knowledge to their projects.</div> <p> </p> <h2>Structure of the files</h2> <div>The dataset contains the extraction prompt, the extraction results, and metadata.</div> <div>- <strong>ACM_IEEE_EU_Results.zip</strong> is an archive file with the metadata and extraction results with the following folder structure: </div> <div> - <strong>Meta/ </strong>contains the DOI, title, publication date, and pages (omitted for IEEE since it may contain intellectual property).</div> <div> - <strong>Extract/</strong> contains extraction results generated by the LLM in response to the extraction_prompt.txt file.</div> <div> - <strong>ExtractMeta/</strong> contains the metadata for the extraction, such as execution time.</div> <div>- <strong>extraction_prompt.txt</strong> is the prompt used to extract information from the science and project publications.</div>
Imaging luminescence thermometry to 750 °C for the heat treatment of common engineering alloys and comparison with thermal imaging
<p>Data presented in the IJOT paper: Imaging luminescence thermometry to 750 °C for the heat treatment of common engineering alloys and comparison with thermal imaging</p>
Data from: Size matters: when resource accessibility by ecosystem engineering elicits wood-boring beetle demographic responses
<p>This data was used to investigate how the age and size of beaver disturbances act as predictors for primary wood-boring beetle abundance and species richness around beaver-altered habitat patches. To do so, we sampled beetles around 16 beaver-disturbed and unaltered watercourses within the Kouchibouguac National Park (Canada) and modeled beetle demographical responses to site conditions and their physical characteristics, distance from the watercourse, deadwood biomass, and the geographical location of the sites.</p>
Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction
<p>Open data for <strong>Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction</strong></p>
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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.