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18,621 results for “development;”
Dynamic interplay of cNHEJ and MMEJ pathways of DNA double-strand break repair during embryonic development in zebrafish.
<p><span>Fastq sequences from zebrafish embryos corresponding to 9 amplicons sequenced by </span><span>Illumina MiSeq. DNA sample were obtained from non-treated wildtype controls (ctrl) or from wildtype (WT), polq mutants, lig3 mutant or lig4 mutant injected with Cas9 protein and a pool of 5 or 4 different sgRNA (numbered from 1#1 to 5#2). Each target site corresponds to one amplicon. </span></p>
Fig. 1 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 1. The location of the study site (Santa Rosa Ranch) near Riviera, TX.
Fig. 3 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 3. Lure bucket recessed into soil at each treatment location at the Santa Rosa Ranch.
Fig. 4 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 4. Distribution of animal visits to lure sites at the Santa Rosa Ranch, near Riviera, TX.
Gamification of Student Development Projects in Software Engineering Education - Master's Thesis Dataset
<p>This dataset contains all questionnaire results of the Master's Thesis <em>Gamification of Student Development Projects in Software Engineering Education</em>. The thesis will be linked to this set as soon as it is completed and publically available.</p> <p>In total, five questionnaires were conducted. To analyze users and requirements, a questionnaire with students and project supervisors was conducted. The implemented tool was evaluated using a pre-, mid-, and post-study questionnaire. This dataset contains a folder for each questionnaire including results in CSV format, results in HTML format, which is more human readable, and the questionnaire in PDF format. Due to the used survey tool, <em>lamapoll</em>, some parts of the files are in German. However, the questions and responses are all in English.</p> <p>Additionally, the scripts folder contains the Python scripts that were used to produce the graphics of the thesis. The Python libraries <code>matplotlib</code>, <code>pandas</code>, <code>scipy</code>, <code>numpy</code>, and <code>plot_likert</code> are required to run the scripts. Some of them use the two provided files <code>evalutation_concat_raw_excel.csv</code>, which is a concatenation of the results of the three evaluation questionnaires, and <code>sprint_stats.csv</code>, which contains statistics of the sprints relevant to the user study.</p>
Supplementary Material for "Investigating Software Development Teams Members' Perceptions of Data Privacy in the Use of Large Language Models (LLMs)"
<h3>ABSTRACT<strong>: </strong></h3> <p><strong>Context</strong>: Large Language Models (LLMs) have revolutionized natural language generation and understanding. However, they raise significant data privacy concerns, especially when sensitive data is processed and stored by third parties. <br><strong>Goal</strong>: This paper investigates the perception of software development teams members regarding data privacy when using LLMs in their professional activities. Additionally, we examine the challenges faced and the practices adopted by these practitioners. <br><strong>Method</strong>: We conducted a survey with 78 ICT practitioners from five regions of the country. <br><strong>Results</strong>: Software development teams members have basic knowledge about data privacy and LGPD, but most have never received formal training on LLMs and possess only basic knowledge about them. Their main concerns include the leakage of sensitive data and the misuse of personal data. To mitigate risks, they avoid using sensitive data and implement anonymization techniques. The primary challenges practitioners face are ensuring transparency in the use of LLMs and minimizing data collection. Software development teams members consider current legislation inadequate for protecting data privacy in the context of LLM use. <br><strong>Conclusions</strong>: The results reveal a need to improve knowledge and practices related to data privacy in the context of LLM use. According to software development teams members, organizations need to invest in training, develop new tools, and adopt more robust policies to protect user data privacy. They advocate for a multifaceted approach that combines education, technology, and regulation to ensure the safe and responsible use of LLMs.</p>
PREPCLIM sample data set for publication in "Geoscientific Model Development" 2024
<p>Data set illustrating the functionality of software developed in the PREPCLIM project and used in the proposed paper:</p> <p>A Modeling System for Identification of Maize Ideotypes, optimal sowing dates and nitrogen<br>fertilization under climate change – PREPCLIM-v1</p> <p>https://doi.org/10.5194/gmd-2024-105<br>Preprint. Discussion started: 11 July 2024<br>c Author(s) 2024. CC BY 4.0 License.</p>
Fig. 1 in Hydrochemical Conditions Of Phytoplankton Development In Zaporizhian (Dnipro) Reservoir
Fig. 1. Scheme of the Zaporizhian (Dnipro) reservoir.
Supplementary Material for the Paper "Characterizing Software Developers by Perceptions of Productivity"
<p>Contains the survey questions and preprint for the paper "Characterizing Software Developers by Perceptions of Productivity" submitted to ESEM'17. </p> <p>Please contact Thomas Zimmermann (tzimmer@microsoft.com) in case you have any questions.</p> <p> </p> <p><strong>Paper Abstract:</strong></p> <p>Understanding developer productivity is important to deliver software on time and at reasonable cost. Yet, there are numerous definitions of productivity and, as previous research found, productivity means different things to different developers. In this paper, we analyze the variation in productivity perceptions based on an online survey with 413 professional software developers at Microsoft. Through a cluster analysis, we identify and describe six groups of developers with similar perceptions of productivity: social, lone, focused, balanced, leading, and goal-oriented developers. We discuss design implications of these clusters for tools to support developers’ productivity.</p>
Figure 2. Flow chart of the CoDOA (Kose & Arslan, 2015).0Cognitive Development Optimization Algorithm Based Support Vector Machines for Determining Diabetes
<p>The related algorithm steps can be visualized with a flow chart as shown in Figure 2 [26].</p>
The process of HDAC11 Assay Development: using kit
<p>Preliminary tests to check if the Fluor-de-Lys-green HDAC activity kit could be used for developing a high-throughput HDAC11 assay have been performed here using controls and recombinantly purified HDAC11.</p>
USP5 Zf-UBD Differential Scanning Fluorimetry Assay Development
<p>Development of DSF assay for USP5 Zf-UBD to determine optimal protein screening conditions and significance of thermal shift of USP5 Zf-UBD in the presence of a ubiquitin RLRGG peptide </p>
Temperature-Dependent Development and Freezing Survival of Protostrongylid Nematodes of Arctic Ungulates: Implications for Transmission
<p>Data used to derive the conclusion of the work. Spreadsheets contain raw data.</p>
Coding data of manuscript "How Do Developers Utilize Source Code from Stack Overflow?"
<p>This is the coding data for the manuscript "How Do Developers Utilize Source Code from Stack Overflow?".</p>
How do developers promote OSS?
<p>Hudson Silva Borges and Marco Tulio Valente. How do Developers Promote Open Source Projects?. Submitted to <em>IEEE Software</em>, pages 1-9, 2018.</p>
The process of HDAC11 Assay Development: enzyme stability
<p>Before performing the kinetic study for calculating the Km for HDAC11, it is important to know the duration of the stability of the protein under the assay conditions. This is being analyzed here.</p> <p> </p> <p><strong>Note: </strong>1. In the assay buffer, BSA conc. is 0.5 mg/ml (instead of 0.5%).</p> <p> 2. In the 7.5 ul developer solution, 40 uM of TSA (Trichostatin A) is also included.</p>
The process of HDAC11 Assay Development: buffer screening
<p>A buffer screen at various pH was performed to pick the buffer that gives the best activity for HDAC11. </p> <p>Note: 1. In the assay buffer, BSA conc. is 0.5 mg/ml (instead of 0.5%).</p> <p> 2. In the 7.5 ul developer solution, 40 uM of TSA (Trichostatin A) is also included.</p>
Open Access in the Global South: Perspectives from the Open and Collaborative Science in Development Network
<p>As with science in general, the discussion around open access has generally been driven by the institutions and perspectives of western or global North countries. However, approaches to open access are far more diverse and there are alternative approaches that have not gained visibility, especially in historically marginalized communities. This presentation will present some key lessons of the OCSDNet http://ocsdnet.org. The OCSDNet is a research network that engaged in participatory research and consultation with scientists, development practitioners, community members and activists from 26 countries in Latin America, Africa, the Middle East and Asia to understand the values at the core of open science in development. What we learned is that there is not one right way to do open science, and “openness” requires constant negotiation and reflection, and the process will always differ by context due to historical and socio-political factors. The set of seven values and principles at the core of the OCSDNet manifesto will be discussed for a more inclusive open science in development. More important, we will discuss the implications of these values in relation to the aspirations and features of COAR’s Next Generation Repository.</p>
Supplementary material for "can you tell me if it smells? A study on how developers discuss code smells and anti-patterns in Stack Overflow"
<p>This dataset contains all data and results from the "Can you tell me if it smells? A study on how developers discuss code smells and anti-patterns in Stack Overflow" paper that was accepted at the 22nd International Conference on Evaluation andAssessment in Software Engineering (EASE), Christchurch, New Zealand.</p>
The process of HDAC11 Assay Development: linearity and Km calculation
<p>With previously optimized conditions, the linearity range for HDAC11 was obtained and the Km for the substrate was calculated.</p> <p> </p> <p><strong>Note: </strong>1. In the assay buffer, BSA conc. is 0.5 mg/ml (instead of 0.5%).</p> <p> 2. In the 7.5 ul developer solution, 40 uM of TSA (Trichostatin A) is also included.</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.