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24 results for “Usage Patterns”
Replication Package for "Type Inference in Kotlin: An Exploratory Study of Developer Usage Patterns"
<p>This dataset includes scripts and data files used to generate all analysis and results from the paper. A <strong>README.md</strong> file is included for details on using the scripts.</p> <p>The dataset is quite large. It is broken down into three archives. All scripts are in <strong>replication-pkg.zip</strong> and the other 2 files only contain data. So if you want to just inspect the analysis, you only need that single zip.</p> <p>If you grab the <strong>data-cache.zip</strong> file and extract it, it will need around 1GB of space. This is the processed dataset stored in Parquet files. Use this if you want to just recreate the tables/figures from the paper.</p> <p>If you want to make changes to the analyses, you will need the raw data in <strong>data.zip</strong>. This will need around 13GB of space once extracted. If you then generate the CSV files from those TXT files (which you will need to do for any custom analysis), you will need an additional 12GB of space.</p>
The Sampling Threat when Mining Generalizable Inter-Library Usage Patterns
<div> <div> <div> <p>Tool support in software engineering often relies on relationships, regularities, patterns, or rules mined from other users’ code. Examples include approaches to bug prediction, code recommendation, and code autocompletion. Mining is typically performed on samples of code rather than the entirety of available software projects. While sampling is crucial for scaling data analysis, it might influence the generalization of the mined patterns. This paper focuses on sampling software projects filtered for specific libraries and frameworks, and on mining patterns that connect different libraries. We call these inter-library patterns.</p> <p>We observe that limiting the sample to a specific library may hinder the generalization of inter-library patterns, posing a threat to their use or interpretation. Using a simulation and a real case study, we demonstrate this threat for different sampling methods. Our simulation shows that only when sampling for the disjunction of both libraries involved in the implication of a pattern, the implication generalizes well. Additionally, we demonstrate that real empirical data sampled using the GitHub search API does not behave as expected from our simulation. This identifies a potential threat relevant for many studies that use the GitHub search API for studying inter-library patterns.</p> </div> </div> </div>
Dataset: Assessing Immediate and Lasting Impacts of COVID-19-Induced Isolation on Green Space Usage Patterns
<p>It includes the data for paper "Assessing Immediate and Lasting Impacts of COVID-19-Induced Isolation on Green Space Usage Patterns".</p> <p> </p>
Daily ranging and den usage patterns structure fission-fusion dynamics and social associations in spotted hyenas
<p>Environment structure often shapes social interactions. Spatial attractors that draw multiple individuals may play a particularly important role in dispersed groups, where individuals must first encounter one another to interact. We use GPS data recorded simultaneously from five spotted hyenas (<i>Crocuta crocuta</i>) within a single clan to investigate how communal dens and daily ranging patterns shape fission-fusion dynamics (subgroup splits and merges). We introduce a species-general framework for identifying and characterizing dyadic fission-fusion events and describe a taxonomy of ten possible configurations of these events. Applying this framework to the hyena data illuminates the spatiotemporal structure of social interactions within hyenas' daily routines. The most common types of fission-fusion events involve close approaches between individuals, do not involve co-travel together, and occur at the communal den. Comparison to permutation-based reference models suggests that den usage structures broad-scale patterns of social encounters, but that other factors influence how those encounters unfold. We discuss the dual role of communal dens in hyenas as physical and social resources, and suggest that dens are an example of a general "social piggybacking" process whereby environmental attractors take on social importance as reliable places to encounter conspecifics, causing social and spatial processes to become fundamentally intertwined.</p>
Determinants of associations between codon and amino acid usage patterns of microbial communities and the environment inferred based on a cross-biome metagenomic analysis
<p>Raw data set for npj Bioflims and Microbiome article: “Determinants of associations between codon and amino acid usage patterns of microbial communities and the environment inferred based on a cross-biome metagenomic analysis”</p>
PROUD Study: A Prospective Study on the Usage Patterns of Doripenem in the Asia Pacific Region
ClinicalTrials.gov study NCT00986102. IPD Sharing: Not stated. Countries: 5. Publications: 1.
Daily ranging and den usage patterns structure fission-fusion dynamics and social associations in spotted hyenas
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Dataset: Spatiotemporal patterns of salmon winter habitat usage in the Northeast Pacific uncovered by environmental DNA
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Data from: Exploring temporal patterning of psychological skills usage during the week leading up to competition: lessons for developing intervention programmes
Background and purpose: Although sport psychology literature focuses on psychological skills use to promote proficiency, it is still puzzling that current research has focused on psychological skills use only during competition. There remains a scarcity of empirical evidence to support the timing, and content of psychological skill application during the time preceding competition. This study examined the extent to which psychological skills usage are dynamic or stable over a 7-day pre-competitive period and whether any natural learning experiences might have accounted for the acquisition of these skills across gender and skill level. Methods and results: Ninety elite and semi-elite table tennis players completed the Test of Performance Strategies (TOPS) at three different periods (7 days, 2 days, 1hour) before competition. A MANOVA repeated measures with follow-up analyses revealed significant multivariate main effects for only skill level and time-to-competition with no interactions. Specifically, elite (international) athletes reported more usage than semi-elite (national) counterparts for self-talk, imagery and relaxation respectively. Time-to-competition effects showed imagery use decreased steadily across the three time points while reported usage of relaxation were almost at the same level on two time points (7 days and 1 hour) but decreased 2 days before competition. Conclusions: Findings suggest an implementation of formalized and periodized psychological skills training programs over continuous training cycles. This may foster a positive long-term athletes' psychological state prior to the onset of competition.
The Sampling Problem when Mining Inter-Library Usage Patterns
<p>Tool support in software engineering often depends on relationships, regularities, patterns, or rules, mined from sampled code.cExamples are approaches to bug prediction, code recommendation, and code autocompletion. Samples are relevant to scale the analysis of data. Many such samples consist of software projects taken from GitHub; however, the specifics of sampling might influence the generalization of the patterns. In this paper, we focus on how to sample software projects that are clients of libraries and frameworks, when mining for interlibrary usage patterns. We notice that when limiting the sample to a very specific library, inter-library patterns in the form of implications from one library to another may not generalize well. Using a simulation and a real case study, we analyze different sampling methods. Most importantly, our simulation shows that only when sampling for the disjunction of both libraries involved in the implication, the implication generalizes well. Second, we show that real empirical data sampled from GitHub does not behave as we would expect it from our simulation. This identifies a potential problem with the usage of such API for studying inter-library usage patterns.</p>
Self-reported Usage Patterns of Opioid Analgesic Medications After Surgery
ClinicalTrials.gov study NCT03034278. IPD Sharing: NO. Countries: 1. Publications: 5.
An Observational Prospective Study to Understand the Usage Pattern of Ticagrelor With ACS (Acute Coronary Syndrome)
ClinicalTrials.gov study NCT02408224. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Exploring temporal patterning of psychological skills usage during the week leading up to competition: lessons for developing intervention programmes
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Data from: Translational selection frequently overcomes genetic drift in shaping synonymous codon usage patterns in vertebrates
Synonymous codon usage (SCU) patterns are shaped by a balance between mutation, drift, and natural selection. To date, detection of translational selection in vertebrates has proven to be a challenging task, obscured by small long-term effective population sizes in larger animals and the existence of isochores in some species. The consensus is that, in such species, natural selection is either completely ineffective at overcoming mutational pressures and genetic drift or perhaps is effective but so weak that it is not detectable. The aim of this research is to understand the interplay between mutation, selection, and genetic drift in vertebrates. We observe that although variation in mutational bias is undoubtedly the dominant force influencing codon usage, translational selection acts as a weak additional factor influencing synonymous codon usage. These observations indicate that translational selection is a widespread phenomenon in vertebrates and is not limited to a few species.
The Effect of Social Media Influencers on Business Sustainability: Understanding Customer Behavior Change Towards Sustainable Usage Patterns
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Pedicle Screw Usage in Conventional Fixation Pattern Constructs Compared to Thoracic Hook Constructs in Scoliosis
ClinicalTrials.gov study NCT01581021. IPD Sharing: Not stated. Countries: 1. Publications: 0.
An Observational Study to Describe in Routine Clinical Practice the Treatment Patterns of Usage of Biological DMARDs in RA Patients.
ClinicalTrials.gov study NCT02590562. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Translational selection frequently overcomes genetic drift in shaping synonymous codon usage patterns in vertebrates
Open the record for dataset details and reuse information.
Junction Usage Model (JUM) is a computational method for comprehensive annotation-free analysis of alternative pre-mRNA splicing patterns
GEO Series GSE118193. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.
European Union Registry in Paediatric Chronic Kidney Disease Patients Looking at Safety and Usage Patterns of Darbepoetin Alfa
ClinicalTrials.gov study NCT00838097. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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OpenNeuro
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