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18,621 results for “development;”
Artifacts Package - "Software Security during Modern Code Review: The Developer's Perspective"
<p>Artifacts Package of the accepted FSE 22 paper: "Software Security during Modern Code Review: The Developer's Perspective".</p>
Dataset for Stack overflow Manual Results about challenges in developing Spark applications
<p>This dataset contains Stack Overflow manual study results for the paper "An Empirical Study on the Challenges that Developers Encounter When Developing Apache Spark Applications".</p> <ul> <li>the <em>data</em> folder contains the <em>Stackoverflow Manual Results.csv </em>file that is the manual analysis result for the Stack Overflow posts. The CSV file contains information on the classification of the data, the reasons and the number of views, etc. </li> </ul> <p> </p> <ul> <li>the <em>scripts</em> folder contains the python and SQL files that are used for data collection and data analysis. <ul> <li><em>query_data.sql</em> is used to collect data from the Stack Exchange website.</li> <li><em>sample.py</em> is used to sample data for the manual analysis in the paper.</li> <li><em>common_issue.py</em> is used to study the percentage of common issues in rq1. </li> <li><em>popularity.py </em>is used to calculate the average of normalized view counts in rq2.</li> <li><em>popularity_difficulty.py</em> is used to calculate the average of raw view counts and the median hours to receive an answer in rq2.</li> <li><em>root_cuase.py</em> is used to study the percentage of root causes in rq3. </li> </ul> </li> </ul>
Supporting Developers in Addressing Human-centric Issues in Mobile Apps
<p>A replication package including a manually analysed dataset of a random sample of 1,200 app reviews and 1,200 issue comments from 12 diverse projects that exist on both Google App Store and GitHub, the results of our machine learning and deep learning approaches, our survey questions and raw responses from app developers to the survey.</p>
Supplementary material 1 from: Behei N, Tryhubchak O, Pryymak B (2022) Development of amlodipine and enalapril combined tablets based on quality by design and artificial neural network for confirming of qualitative composition. Pharmacia 69(3): 779-789. https://doi.org/10.3897/pharmacia.69.e86876
The results of the study of pharmaco-technological parameters of intermediates and amlodipine tablets with enalapril, data of the functions of desirability
Nonlinear Development of Ecosystem Suppressed by Seasonal Synchronization in the North Pacific
<p>The dataset is to produce the main figures and tables of the work Nonlinear Development of Ecosystem Suppressed by Seasonal Synchronization in the North Pacific</p>
FIGURE 2. Magnolia quichensis. A. Developing fruit. B. Mature fruit before dehiscence, C-D. Fruit during dehiscence. E. Seeds after sarcotesta removal. F-G in Two new species of Magnolia (Magnoliaceae) from Alta Verapaz and Quiché, Guatemala
FIGURE 2. Magnolia quichensis. A. Developing fruit. B. Mature fruit before dehiscence, C-D. Fruit during dehiscence. E. Seeds after sarcotesta removal. F-G. Fruit axis and carpels without seeds, dorsal and ventral side, showing the axis. Photographs: Erick Tribouillier.
Development of a mass production method for the smut fungus Doassansia niesslii , a potential biological control agent of the invasive weed Butomus umbellatus (IC_MScEA_Final project data)
<p>Data of my MSc final project (MSc Ecological Applications, Imperial College London). Student ID: 02175995.</p>
Machine Learning Constructs Color Features to Accelerate Development of Long-Term Continuous Water Quality Monitoring
<p>This is a machine learning method for predicting the concentration of colored pollutants based on RGB and kmeans methods. This dataset includes raw images of pollutants as well as characteristic data of pollutants, as well as code for the model. You can see the contents of the zip file for details.</p>
Simulation Study of the Tonga Event: Development of Equatorial Plasma Bubbles
<p>Data used for the figures in the paper</p> <p>Simulation Study of the Tonga Event:<br> Development of Equatorial Plasma Bubbles</p>
Development of chronic pain after posterolateral and axillary approaches for thoracic surgery: A prospective monocentric observational study
<p class="MDPI17abstract"><span>Mini-invasive thoracotomies may reduce chronic</span><span> pain and pain-related functional impairment. The aims of part 2 of the study were to assess their incidence after posterolateral and axillary thoracotomies and to identify potential factors of chronic pain. Patients undergoing a posterolateral (79 patients) or axillary (79 patients) thoracotomy between July 2014 and November 2015 were analyzed in this prospective monocentric cohort study. At the 4-month assessment, more patients had chronic pain in the posterolateral group (60.8% vs 40.5%; p=0.017). There was a significant difference between groups favoring the axillary group: less level of catastrophism (p=0.021) and less impact of pain on daily activities (globally, p=0.009; routine activities subscore, p=0.010, chosen activity subscore, p=0.030). According to a multinomial logistic model multivariable, three factors are associated with the presence of chronic pain: the presence of pain before surgery (OR=2.36, CI 95% [1.03-5.39]), a large posterolateral incision (OR=4.14 [1.25-13.72]) and the intensity of pain during mobilization of the ipsilateral shoulder at postoperative day 6 (OR=1.37 [1.10-1.70]). In conclusion, chronic pain is less frequent after an axillary approach than after a posterolateral one. Identified risk factors for chronic pain should lead to more aggressive management of preoperative and early postoperative pain and favor the mini-invasive approach.</span></p>
Effects of Eggs Refrigeration on the Hatchability, Development, Cocoon Shell Weight, and Fecundity of Samia cynthia ricini Boisduval (Lepidoptera: Saturniidae)
<p>We conducted a research to study effects of eggs refrigeration on the hatchability, development, cocoon shell weight, and fecundity of eri silkworm as a strategy to improve the mass rearing efficiency by storing them under cold condition in different period</p>
FIGURE 18. Amblyseius eharai, Hypostome. A in Morphological changes and ontogenetic development of Amblyseius eharai Amitai & Swirski (Acari: Phytoseiidae)
FIGURE 18. Amblyseius eharai, Hypostome. A. Larva; B. Protonymph; C. Deutonymph; D. Female; E. Male; F. Spermatheca
Immune signatures predict development of autoimmune toxicity in immune checkpoint inhibitor-treated patients with cancer
<p><strong>Immune signatures predict development of autoimmune toxicity in immune</strong><strong> checkpoint inhibitor-treated patients with cancer</strong></p> <p> </p> <p>Nicolas Gonzalo Nuñez<sup>1</sup>*, Fiamma Berner<sup>2</sup>*, Ekaterina Friebel<sup>1</sup>*, Susanne Unger<sup>1</sup>, Nina Wyss<sup>2,3</sup>, Julia Martinez Gomez<sup>4</sup>, Mette-Triin Purde<sup>2</sup>, Rebekka Niederer<sup>2,3</sup>, Maximilian Porsch<sup>5</sup>, Christa Lichtensteiger<sup>2</sup>, Rafaela Kramer<sup>6</sup>, Michael Erdmann<sup>6</sup>, Christina Schmitt<sup>7</sup>, Lucy Heinzerling<sup>6,7</sup>, Marie-Therese Abdou<sup>2</sup>, Julia Karbach<sup>8</sup>, Dirk Schadendorf<sup>9</sup>, Lisa Zimmer<sup>9</sup>, Selma Ugurel<sup>9</sup>, Niklas Klümper<sup>10,11,12</sup>, Michael Hölzel<sup>10,11</sup>, Laura Power<sup>1</sup>, Stefanie Kreutmair<sup>1</sup>, Mariaelena Capone<sup>13</sup>, Gabriele Madonna<sup>13</sup>, Lacin Cevhertas<sup>14,15</sup>, Anja Heider<sup>14</sup>, Teresa Amaral<sup>16,17</sup>, Omar Hasan Ali<sup>2,3,4,18</sup>, David Bomze<sup>2,19</sup>, Florentia Dimitriou<sup>4</sup>, Stefan Diem<sup>20</sup>, Paolo Antonio Ascierto<sup>13</sup>, Reinhard Dummer<sup>4</sup>, Elke Jäger<sup>8</sup>, Christoph Driessen<sup>20</sup>, Mitchell P. Levesque<sup>4</sup>, Willem van de Veen<sup>14</sup>, Markus Joerger<sup>20</sup>, Martin Früh<sup>20,21</sup>, Burkhard Becher<sup>1</sup>**, Lukas Flatz<sup>2,3,4,20,22</sup>**</p> <p> </p> <p>*/** these authors contributed equally</p> <p> Affiliations</p> <p>1. Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland</p> <p>2. Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St.Gallen, Switzerland</p> <p>3. Department of Dermatology, Kantonsspital St. Gallen, St.Gallen, Switzerland</p> <p>4. Department of Dermatology, University Hospital Zurich, Zurich, Switzerland</p> <p>5. Department of Radiology, Kantonsspital St. Gallen, St.Gallen, Switzerland</p> <p>6. Department of Dermatology, University of Erlangen-Nuremberg, Erlangen, Germany</p> <p>7. Ludwig Maximilian University of Munich, Munich, Germany</p> <p>8. Department of Oncology and Hematology, Krankenhaus Nordwest, Frankfurt, Germany</p> <p>9. Department of Dermatology, Comprehensive Cancer Center (Westdeutsches Tumorzentrum) University Hospital Essen, Essen, Germany</p> <p>10. Institute for Experimental Oncology, University Hospital Bonn, Bonn, Germany</p> <p>11. Center for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany</p> <p>12. Department of Urology, University Hospital Bonn, Bonn, Germany</p> <p>13. Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy</p> <p>14. Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland</p> <p>15. Department of Medical Immunology, Institute of Health Sciences, Bursa Uludag University, Bursa, Turkey</p> <p>16. Skin Cancer Center, Department of Dermatology, University Hospital Tübingen, Tübingen, Germany</p> <p>17. iFIT Cluster of Excellence (EXC 2180), University of Tübingen, Tübingen, Germany</p> <p>18. Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, Canada</p> <p>19. Sackler Faculty of Medicine, Tel-Aviv University, Israel</p> <p>20. Department of Oncology, Kantonsspital St. Gallen, St.Gallen, Switzerland</p> <p>21. Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland</p> <p>22. Universitäts-Hautklinik, University of Tübingen, Tübingen, Germany</p> <p> </p> <p> </p>
Dataset: Debunking the Stereotypical Ontology Development Process
<p>Corresponding Dataset to given Paper:</p> <p>Ontologies facilitate meaning between human and computational actors. On the one hand, the underlying technology can be considered mature. It has a standardized language, established tools for editing and sharing, and broad adoption in practice and research. On the other hand, we still know little about how these artifacts evolve over their lifetime, even though knowledge of the development process could guide quality control. It would enable us to give knowledge engineers better modeling or selection guidelines. This paper examines the evolution of computational ontologies using ontology metrics. First, we gathered hypotheses on the ontology development processes. We assume that groups of ontologies follow a similar development pattern and that a stereotypical development process exists. Afterward, these hypotheses are tested against historical metric data from 7053 versions from 69 dormant ontologies. We will show that ontology development processes are highly heterogeneous. While the made hypotheses are partly true for a slight majority of ontologies, concluding the bigger picture of ontology development down to the individual ontologies is mostly not possible.</p>
Data for: A general framework for modelling thermal and hydric constraints on eggs developing in soil
<p>Data files to reproduce all the figures and appendices of "A general framework for modelling thermal and hydric constraints on eggs developing in soil".</p>
An Exploration on How Developers Respond to Security Vulnerabilities: The Case of Log4JShell
<p>Although using third-party libraries has become prevalent in contemporary software development, developers often struggle to update their dependencies. Prior works acknowledge that due to the migration effort, priority and other issues cause lags in the migration process. The common assumption is that developers should drop all other activities and prioritize fixing the vulnerability.<br> Our objective is to understand developer behavior when facing high-risk vulnerabilities in their code. We explore the prolific case of the Log4Shell, a vulnerability that has the highest severity rating ever, which received widespread media attention. Using a mixed-method approach, we analyze 219 GitHub Pull Requests (PR) and 354 issues belonging to 53 Maven projects affected by the Log4j vulnerability. Our study indicates that developers tend to have a quick response taking from 5 to 6 days. However, instead of focusing on fixing the vulnerability, surprisingly developer activities tend to increase for all pending issues and PRs. Developer discussions involved either giving information (29.3%) and seeking information (20.6%), which is missing in existing support tools. Leveraging this possibly-one of a kind event opens up a new line of research, advocating us to rethink best practices and what developers need in order to efficiently fix vulnerabilities.</p>
Supplemental data for: Development and validation of a polygenic risk score for stroke in the Chinese population
<div class="WordSection1"> <div class="WordSection1"> <strong>Objective</strong>: To construct a polygenic risk score (PRS) for stroke and evaluate its utility in risk stratification and primary prevention for stroke.</div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Methods</strong>: Using meta-analytic approach and large genome-wide association results for stroke and stroke-related traits in East Asians, we generated a combined PRS (metaPRS) by incorporating 534 genetic variants in a training set of 2,872 patients with stroke and 2,494 controls. We then validated its association with incident stroke using Cox regression models in large Chinese population-based prospective cohorts comprising 41,006 individuals.</div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Results</strong>: During a total of 367,750 person-years (mean follow-up 9.0 years), 1,227 participants developed stroke before age of 80 years. Individuals with high polygenic risk had an about 2-fold higher risk of incident stroke compared with those with low polygenic risk (HR: 1.99, 95% CI: 1.66-2.38), with the lifetime risk of stroke being 25.2% (95% CI: 22.5%-27.7%) and 13.6% (95% CI: 11.6%-15.5%), respectively. Individuals with both high polygenic risk and family history displayed the lifetime risk as high as 41.1% (95% CI: 31.4%-49.5%). Moreover, individuals with high polygenic risk achieved greater benefits in terms of absolute risk reductions from adherence to ideal fasting blood glucose and total cholesterol than those with low polygenic risk. Maintaining favorable cardiovascular health (CVH) profile could substantially mitigate the increased risk conferred by high polygenic risk to the level of the low polygenic risk (from 34.6 % to 13.2%).</div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Conclusions</strong>: Our metaPRS has great potential for risk stratification of stroke and identification of individuals who may benefit more from maintaining ideal CVH. </div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Classification of Evidence</strong>: This study provides Class I evidence that a meta-polygenic risk score is predictive of stroke risk.</div> <p> </p> </div>
FIGURE 7 in Larval development of the crab Amphithrax hemphilli (Rathbun, 1892) (Decapoda, Brachyura, Mithracidae) described from laboratory-reared material
FIGURE 7. Cladogram of species of Mithrax and allies for the megalopa stage, with phylogeny constructed from Windsor & Felder (2014) and Assugeni et al. (2017). Characteristics: (1) setae on the peduncle of the antennule; (2) aesthetascs on the exopod of the antennule; (3) setation of the antenna; (4) setae on the palp of the mandible; (5) setae on the coxal endite of the maxillule; (6) setae on the basial endite of the maxillule; (7) setae on the endopod of the maxillule; (8) setae on the epidod of the maxillule; (9) setae on the coxal endite of the maxilla; (10) setae on the basial endite of the maxilla; (11) setae on the endopod of the maxilla; (12) setae on the scaphognathite of the maxilla; (13) setae on the basis of the first maxilliped; (14) setae on the endopod of the first maxilliped; (15) setae on the exopod of the first maxilliped; (16) setae on the endopod of the second maxilliped; (17) setae on the exopod of the second maxilliped; (18) setae on the coxa of the third maxilliped; (19) setae on the basischium of the third maxilliped; (20) setae on the endopod of the third maxilliped; (21) setae on the exopod of the third maxilliped, and (22) setae on the pleon. Different colors indicate differences among species; equal colors indicate similarity.
FIGURE 4 in Larval development of the crab Amphithrax hemphilli (Rathbun, 1892) (Decapoda, Brachyura, Mithracidae) described from laboratory-reared material
FIGURE 4. Amphithrax hemphilli (Rathbun, 1892), megalopa stage. (A) maxilliped I; (B) maxilliped II; (C) maxilliped III; (D) pleopods 1–4 and uropod; (E) pereiopods 1–5; (F) dorsal and lateral view of pleon and telson. Scale bars: A–C: 0.1 mm; D–F: 0.2 mm.
FIGURE 1 in Larval development of the crab Amphithrax hemphilli (Rathbun, 1892) (Decapoda, Brachyura, Mithracidae) described from laboratory-reared material
FIGURE 1. Amphithrax hemphilli (Rathbun, 1892), first zoeal stage. (A) Lateral view; (B) dorsal view; (C) antennule; (D) antenna; (E) mandible; (F) maxillule (G) maxilla; (H) maxilliped I; (I) maxilliped II; (J) maxilliped III; (K) pereiopods; (L) dorsal view of pleon and telson. Scale bars: A, B, L: 0.2 mm; C–K: 0.1 mm.
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.