This artifact contains the supplementary files for the ITP'23 article "Lessons for Interactive Theorem Proving Researchers from a Survey of Coq Users". More specifically, it contains:

• the Limesurvey structure exported file (Limesurvey/survey-structure.lss);
• the HTML print of the survey in English and Chinese (Limesurvey/questionnaire_english.html and Limesurvey/questionnaire_chinese.html);
• the Jupyter notebook (Coq-survey-analysis.ipynb) and the Stata code (regressions/Regressions_and_Romano-Wolf.do) that were used to produce the results;
• the plots for the answers to all the closed questions, as well as plots for some interactions between answers to multiple closed questions in png and svg formats (assets/);
• manual analysis of some open text questions (coded_answers/);
• answers to open text questions (open_answers/).

This artifact does not contain the full raw data from the survey. These data have been deleted, following the GDPR compliance statement that was displayed at the beginning of the survey. The open text answers that are made available through this artifact have been sanitized to remove any personally identifiable element.

File listing

• README.md: this README
• Limesurvey
  • questionnaire_english.html: survey HTML print in English
  • questionnaire_chinese.html: survey HTML print in Chinese
  • survey-structure.lss: Limesurvey structure export
• Coq-survey-analysis.ipynb: Jupyter notebook used to produce plots
• regressions
  • Regressions_and_Romano-Wolf.do: Stata code used to do the regressions appearing in the article
• assets
  • many png and svg files for plots showing quantitative results
• coded_answers
  • renaming.md: manual analysis of the answers to the open text question "If you wish to elaborate on why Coq should / should not be renamed, feel free to do it here."
  • renaming_choices.md: manual analysis of the answers to the open text question "If you wish to share any specific arguments in favor or against some specific name choices, please do so here."
  • contributing_experience.csv: answers to the open text question "Feel free to elaborate on the contributing experience, what we can do better, or why you do not contribute." with manual analysis
  • doc_improvements-grouped.docx manual analysis of the answers to the open text question "Feel free to elaborate on any of the items listed above, their importance, etc. Are there other improvements that you think would be important?" (in the context of a question on "How important are improvements to the following aspects of the Coq documentation?")
• open_answers: Each table has been reordered and has a different indexing, so relating answers from different tables is not possible. Furthermore, answers have been checked and sanitized to remove any personally identifiable elements.
  • ci_feedback.csv: answers to the question "If you have general feedback on CI in the Coq ecosystem, feel free to share it here." Also shared at: https://github.com/coq-community/manifesto/issues/141
  • contributing_experience.csv: answers to the question "Feel free to elaborate on the contributing experience, what we can do better, or why you do not contribute."
  • coqide_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in CoqIDE?" Also shared at: https://github.com/coq/coq/issues/16580
  • coq_improvements.csv: answers to the question "Feel free to elaborate on any of the items listed above, their importance, etc. Are there other improvements that you think would be important? Also, feel free to tell us how Coq does compared to other proof assistants you have experience with." (in the context of a question on "In order to make you more productive in Coq and to encourage others to learn and use Coq, how important are improvements in the following areas?")
  • coqtail_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in Coqtail?" Also shared at: https://github.com/whonore/Coqtail/issues/277
  • distracting_company_coq_features.csv
  • doc_improvements.csv: answers to the question "Feel free to elaborate on any of the items listed above, their importance, etc. Are there other improvements that you think would be important?" (in the context of a question on "How important are improvements to the following aspects of the Coq documentation?")
  • extraction_targets.csv: answers to the question "If you're interested in new extraction targets, which languages do you want?" Also analyzed quantitatively in: assets/extraction-targets-barplot.png
  • jscoq_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in jsCoq?" Also shared at: https://github.com/jscoq/jscoq/issues/261
  • jupyter_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in coq_jupyter?" Also shared at: https://github.com/EugeneLoy/coq_jupyter/issues/46
  • jupyter_support.csv: answers to the question "Have you had any issues or lack of support for coq_kernel for any service? If so, feel free to share here." Also shared at: https://github.com/EugeneLoy/coq_jupyter/issues/46
  • languages.csv: answers to the question "What languages would be the most useful to support?" Also analyzed quantitatively in: assets/languages-barplot.png
  • learning_experience.csv: answers to the question "How was your experience while learning Coq? For example, what were the easiest and/or most difficult parts of the process? Do you have suggestions to improve the experience?"
  • proof_general_customizations.csv: answers to the question "Do you use specific customizations or fixups of Proof General or Company-Coq (in your ~/.emacs)? If yes, briefly speaking, what are these customizations and would you like to have some of them applied by default?" Also shared at: https://github.com/ProofGeneral/PG/issues/671
  • proof_general_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in Proof General?" Also shared at: https://github.com/ProofGeneral/PG/issues/671
  • renaming.csv: answers to the question "If you wish to elaborate on why Coq should / should not be renamed, feel free to do it here."
  • renaming_choices.csv: answers to the question "If you wish to share any specific arguments in favor or against some specific name choices, please do so here."
  • survey_issues.csv: answers to the question "Did you encounter any issues with the survey that you'd like to report or do you have other feedback that we should hear about?"
  • vim_compatibility.csv: answers to the question "What Vim / NeoVim features or plugins would you like to have better integrated with Coqtail? " Also shared at: https://github.com/whonore/Coqtail/issues/277
  • vscoq_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in VsCoq?" Also shared at: https://github.com/coq-community/vscoq/issues/308

IMPORTANT: This deposit contains a range of supplementary material related to the deposit of the SIPHER Synthetic Population for Individuals, 2019-2021 (https://doi.org/10.5255/UKDA-SN-9277-1). See the shared readme file for a detailed description describing this deposit. Please note that this deposit does not contain the SIPHER Synthetic Population dataset, or any other Understanding Society survey datasets.

The lack of a centralised and comprehensive register-based system in Great Britain limits opportunities for studying the interaction of aspects such as health, employment, benefit payments, or housing quality at the level of individuals and households. At the same time, the data that exist, is typically strictly controlled and only available in safe haven environments under a “create-and-destroy” model. In particular when testing policy options via simulation models where results are required swiftly, these limitations can present major hurdles to coproduction and collaborative work connecting researchers, policymakers, and key stakeholders. In some cases, survey data can provide a suitable alternative to the lack of readily available administrative data. However, survey data does typically not allow for a small-area perspective. Although special license area-level linkages of survey data can offer more detailed spatial information, the data’s coverage and statistical power might be too low for meaningful analysis.

Through a linkage with the UK Household Longitudinal Study (Understanding Society, SN 6614, wave k), the SIPHER Synthetic Population allows for the creation of a survey-based full-scale synthetic population for all of Great Britain. By drawing on data reflecting “real” survey respondents, the dataset represents over 50 million synthetic (i.e. “not real”) individuals. As a digital twin of the adult population in Great Britain, the SIPHER Synthetic population provides a novel source of microdata for understanding “status quo” and modelling “what if” scenarios (e.g., via static/dynamic microsimulation model), as well as other exploratory analyses where a granular geographical resolution is required

As the SIPHER Synthetic Population is the outcome of a statistical creation process, all results obtained from this dataset should always be treated as “model output” - including basic descriptive statistics. Here, the SIPHER Synthetic Population should not replace the underlying Understanding Society survey data for standard statistical analyses (e.g., standard regression analysis, longitudinal multi-wave analysis). Please see the respective User Guide provided for this dataset for further information on creation and validation.

This research was conducted as part of the Systems Science in Public Health and Health Economics Research - SIPHER Consortium and we thank the whole team for valuable input and discussions that have informed this work.

Introduction: The literature has extensively addressed statistical thinking (STk) as a set of principles and concepts implemented within organizations to adopt a statistical perspective. This approach is frequently linked to the application of continuous improvement programs (CIP), such as Six Sigma and Lean Six Sigma. This study examines whether implementing STk principles positively correlates with operational performance within private dental services organizations operating in the CIP framework. Methods: This empirical study investigated a sample of 34 organizations from the private sector. Structural equation modeling, specifically partial least squares, was used for data analysis. Results: Statistical significance for the outer model loadings was demonstrated. Mediating variables positively affect the constructs’ explanatory power, even when statistical techniques (STes) do not show direct associations. The model exhibited a significant degree of explanatory power. Further, it effectively captured the association among STes, operational performance (OP), and decision-making (DM). In the multigroup analysis, only STes did not exhibit a statistically significant difference compared with the other components. Conclusion: The results provide evidence that CIPs are beneficial for applying STk principles and have a favorable effect on both OP and DM. This highlights the significance of CIPs, such as Six Sigma, Lean Six Sigma, and Total Quality Management, in a managerial context. This highlights the need to establish mechanisms that facilitate the dissemination and application of STk principles and STes to improve OP and DM in the dental services sector.

This data set provides data from subduction zone earthquake experiments and analysis described in Rosenau et al. (2019). In the experiments analogue seismotectonic scale models of subduction zones characterized by two seismogenic asperities are used to study the interaction of asperities over multiple seismic cycles by means of static (Coulomb failure) stress transfer. Various asperity geometries (lateral/along-strike of the subduction zone distance and vertical/across-strike of the subduction zone offset) are tested on their effect on recurrence pattern of simulated great (M8+) earthquakes. The results demonstrate the role of stress coupling in the synchronization of asperities leading to multi-asperity M9+ events in nature. The data set contains time series of experimental surface velocities from which analogue earthquakes are detected and classified into synchronized events and solo events. The latter are subcategorized into main events and aftershocks and into normal and thrust events. An analogue earthquake catalogue lists all categorized events of the 12 experiments used for statistical analysis. Moreover, results from elastic dislocation modelling aimed ate quantifying the stress coupling between the asperities for the various geometries are summarized. Basic statistics of classified events (e.g. percentage of categorized events, coefficient of variation in size and recurrence time etc.) are documented. Matlab scripts are provided to visualize the data as in the paper.

Contains all data and code to reproduce the statistical analysis in the Supplementary file 2 for the paper "Bacterial nanotubes are a manifestation of cell death" to be published in Nature Communications.

Contents:

• statistical_analysis.Rmd is the main document written in R Markdown
• statistical_analysis.html is a compiled version of statistical_analysis.Rmd showing all the computed results.
• The Source data.xls file contains raw data used for the analysis - the sheet names indiciate the figure they refer to. See the main file for code that can read the data.

The code can also be accessed at https://github.com/cas-bioinf/nanotubes-death

Assemblages of organic-walled dinoflagellate cysts (dinocysts) from 116 marine surface samples have been analysed to assess the relationship between the spatial distribution of dinocysts and modern local environmental conditions [e.g. sea surface temperature (SST), sea surface salinity (SSS), productivity] in the eastern Indian Ocean. Results from the percentage analysis and statistical methods such as multivariate ordination analysis and end-member modelling, indicate the existence of three distinct environmental and oceanographic regions in the study area. Region 1 is located in western and eastern Indonesia and controlled by high SSTs and a low nutrient content of the surface waters. The Indonesian Throughflow (ITF) region (Region 2) is dominated by heterotrophic dinocyst species reflecting the region's high productivity. Region 3 is encompassing the area offshore north-west and west Australia which is characterised by the water masses of the Leeuwin Current, a saline and nutrient depleted southward current featuring energetic eddies.

The best models identified by quality statistical indices computed for validation samples.

Background and objectivesIncreasing evidence indicates a link between obesity and cognitive impairment. Furthermore, there is limited literature regarding the effect of polyphenols, a plant derived compounds, on executive functioning in an overweight/obese population at-risk of cognitive impairment. The aim of the present systematic review and meta-analysis of randomized controlled trials is to examine the effect of polyphenol supplementation on executive functions in overweight and/or obese populations at risk of cognitive impairment.MethodsA comprehensive literature search was conducted from inception to March 2023 using four electronic databases: PubMed/Medline, PsycInfo, Scopus and Cochrane trials library. Published primary research studies in English that compared the effect of polyphenols with placebo on executive function in overweight/obese adults were considered eligible for the meta-analysis. Jadad scale was used for the methodological quality rating of the included studies. Hedges g with 95% confidence intervals (CI) for endpoints were calculated using random effect model where applicable. Rosenthal’s Fail-safe N, funnel plots, the Begg and Mazumdar’s rank correlation test (Kendall’s S statistic P-Q), Egger’s linear regression test, and Duval and Tweedie’s trim-and-fill test were identified for potential use as appropriate, to examine publication bias. Sensitivity analysis was conducted to examine the robustness of the results.Results and conclusionA total of 23 RCT studies involving N = 1,976 participants were included in the review. The results of the meta-analysis revealed a non-significant effect for polyphenol supplementation on executive function (g = 0.076, CI = -0.018 to 0.170). Observations from primary studies within the meta-analysis showed a potential positive effect of polyphenol supplementation in a younger population at-risk of cognitive impairment and it is recommended to investigate this further in future studies. Moreover, the variability of the tasks used to examine executive functions as well as the adequate reporting of supplement’s phenolic composition is a limitation that future work should also consider.