a formalization of concepts and relations relevant to evolutionary comparative analysis

The R Manual for QCA entails a PDF file that describes all the steps and code needed to prepare and conduct a Qualitative Comparative Analysis (QCA) study in R. This is complemented by an R Script that can be customized as needed. The dataset further includes two files with sample data, for the set-theoretic analysis and the visualization of QCA results. The R Manual for QCA is the online appendix to "Qualitative Comparative Analysis: An Introduction to Research Design and Application", Georgetown University Press, 2021.

A formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types). CDAO is being developed by scientists in biology, evolution, and computer science

BackgroundIndividual participant data (IPD) meta-analyses that obtain “raw” data from studies rather than summary data typically adopt a “two-stage” approach to analysis whereby IPD within trials generate summary measures, which are combined using standard meta-analytical methods. Recently, a range of “one-stage” approaches which combine all individual participant data in a single meta-analysis have been suggested as providing a more powerful and flexible approach. However, they are more complex to implement and require statistical support. This study uses a dataset to compare “two-stage” and “one-stage” models of varying complexity, to ascertain whether results obtained from the approaches differ in a clinically meaningful way. Methods and FindingsWe included data from 24 randomised controlled trials, evaluating antiplatelet agents, for the prevention of pre-eclampsia in pregnancy. We performed two-stage and one-stage IPD meta-analyses to estimate overall treatment effect and to explore potential treatment interactions whereby particular types of women and their babies might benefit differentially from receiving antiplatelets. Two-stage and one-stage approaches gave similar results, showing a benefit of using anti-platelets (Relative risk 0.90, 95% CI 0.84 to 0.97). Neither approach suggested that any particular type of women benefited more or less from antiplatelets. There were no material differences in results between different types of one-stage model. ConclusionsFor these data, two-stage and one-stage approaches to analysis produce similar results. Although one-stage models offer a flexible environment for exploring model structure and are useful where across study patterns relating to types of participant, intervention and outcome mask similar relationships within trials, the additional insights provided by their usage may not outweigh the costs of statistical support for routine application in syntheses of randomised controlled trials. Researchers considering undertaking an IPD meta-analysis should not necessarily be deterred by a perceived need for sophisticated statistical methods when combining information from large randomised trials.

This data has been used to quantify phosphorus, nitrogen, total solids, and water flows in 101'548 sanitation systems generated from 41 potential technologies appropriate for a small town (Katarnyia) in Nepal. The data contains input and output data for a didactic case as well as the full application to Katarniya. The input data is a csv file with the compiled information on the 41 technologies collected from literature on the technologies. This includes the technology appropriateness profiles and scores and in particular the transfer coefficients of the four substances in question. Results include: (1) all valid sanitation system configurations; (2) a a smaller set of divers and highly appropriate sanitation system options as an input into decision-making; (3) substance flows for phosphorus, nitrogen, total solids, and water and recovery and loss potential.

Online AppendicesAppendix showing the mathematical equivalency between Ornstein-Uhlenbeck and accelerating change models, as well as supplementary figures.suppmat-phylopca.pdf

The data and R analysis script with the article "A Meta-Analysis on the Reliability of Comparative Judgement". Comparative Judgement (CJ) aims to improve the quality of performance-based assessments by letting multiple assessors judge pairs of performances. CJ is generally associated with high levels of reliability, but there is also a large variation in reliability between assessments. This study investigates which assessment characteristics influence the level of reliability. A meta-analysis was performed on the results of 49 CJ assessments. Results show that there was an effect of the number of comparisons on the level of reliability. In addition, the probability of reaching an asymptote in the reliability, i.e., the point where large effort is needed to only slightly increase the reliability, was larger for experts and peers than for novices. For reliability levels of .70 between 10 and 14 comparisons per performance are needed. This rises to 26 to 37 comparisons for a reliability of .90.

Supplementary Data Datasets 1 and 2 as used in the comparative analysis of machine learning algorithms for microbial growth detection. For how to use the data, visit github.com/a-hel/classification-supplement

A research manuscript entitled, "A Comparative Analysis of an Existing and Optimized Industrial Worm Gear Set" has been utilised following mentioned data in terms of figures, tables, graph, analytical calculations etc.Fig. 1. Steps Involved in Proposed Methodology- This represents the procedure of the research methodology.Fig. 2. Existing Worm Drawing and its Specifications (20MnCr5 Material) -Seprate company drawing sheet is provided as a dataset file named LHP Worm Details Old.Fig. 3. Existing Worm Wheel Drawing and its Specifications (PB2 Material)- Seprate company drawing sheet is provided as a dataset file named LHP Worm Wheel Old.Fig. 4. Assemble Position Set of Worm Gear - This is generated through CAD modelling softwareTable 1. Standard Material Properties -This is taken from literature and UTM Testing (Seprate data sheet of UTM Testing is provided) file named Tension Test.Fig.5. Conditions of Boundary with loading- figure generated by analysis software.Fig.6. Deflection Seen in assembly - figure generated by analysis software.Fig.7. Normal Stress is equal to Stress- Bending - figure generated by analysis softwareFig.8. Von-Mises Stresses of Worm - figure generated by analysis software.Fig.9. Equivalent Stresses - Von Mises Stresses in Worm Wheel- figure generated by analysis software.Table 2. Results of the Existing Worm and Worm Wheel Analysis with its comparison - Data sheet is supplied for this table file named Data Details.Table 3. Proposed / modified dimensions of Worm Gear - Seprate company drawing sheet is provided as a dataset file named LHP Worm Details New and LHP Worm Wheel New.Fig.10. Modified Worm Drafting and its Specifications (20MnCr5 Material)- Seprate company drawing sheet is provided as a dataset file named LHP Worm Details New.Fig.11. Modified Worm Wheel Drafting and its Specifications (20MnCr5 Material)- Seprate company drawing sheet is provided as a dataset file named LHP Worm Wheel New.Fig.12. CAD model of modified assembly of set of worm gear - This is generated through CAD modelling software.Fig. 13. Deflection Seen in assembly- figure generated by analysis software.Fig.14. Normal Stress is equal to Stress- Bending- figure generated by analysis software.Fig.15. Von -Mises Stresses of Worm- figure generated by analysis software.Fig.16. Stresses- Equivalent Von- Mises Stresses in Worm Wheel- figure generated by analysis software.Table 4. Results of the analysis (Comparative) - Data sheet is supplied for this table file named Data Details.Fig.17. Actual manufactured Set of Worm Gear - This is real image of actual manufactured gear set as per proposed dimensions.Table 5. Comparison of Existing Worm Gear and Optimized Worm Gear on the basis of Stress and Deflection- Data sheet is supplied for this table file named Data Details.Table 6. Comparison of Existing and Modified Worm Gear Set- Data sheet is supplied for this table file named Data Details.Fig.18. Graphical representation of a comparison of Existing and Optimized Worm Gear - Data sheet is supplied for this table file named Data Details.Names of uploaded files :Figures Tables and Graphs. pdfData Details. pdfLHP Worm Details Old.pdfLHP Worm Wheel Old.pdfLHP Worm Details New.pdfLHP Worm Wheel New.pdfTension Test.pdf

The document consists of a list of 61 key policy and strategy documents analysed as part of the comparative work conducted in WP1 of the project Public Service Media in the Age of Platforms (PSM-AP). It also contains a series of selected quotes supporting the three key areas prioritised by the policies and PSM digital strategies: People (reaching audiences), Personalisation (developing the video-on-demand portal), and Prominence (of PSM services and content). The data was collected and analysed in 2023, from documents concerning 10 PSM organisations in seven media markets: Belgium-Flanders (VRT), Belgium-Wallonia Brussels (RTBF), Canada (CBC/Radio-Canada), Denmark (DR, TV 2) Italy (RAI), Poland (TVP), and the UK (BBC, Channel 4, ITV). All quotes were translated to English by the authors.

The file replication.R allows the replication of all analyses carried out in the article. The file supplement_S1.doc lists all 21 studies included in the meta-analysis and presents detailed results.

This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a subscale Solid Rocket Motor (SRM). This study compares Orca, one-class support vector machines, and the Inductive Monitoring System (IMS) for anomaly detection on the data streams. We measure the performance of the algorithm with respect to the detection horizon for situations where fault information is available. These algorithms have been also studied by the present authors (and other co-authors) as applied to liquid propulsion systems. The trade space will be explored between these algorithms for both types of propulsion systems.

Phylogenetic comparative analysis is an approach to inferring evolutionary process from a combination of phylogenetic and phenotypic data. The last few years have seen increasingly sophisticated models employed in the evaluation of more and more detailed evolutionary hypotheses, including adaptive hypotheses with multiple selective optima and hypotheses with rate variation within and across lineages. The statistical performance of these sophisticated models has received relatively little systematic attention, however. We conducted an extensive simulation study to quantify the statistical properties of a class of models toward the simpler end of the spectrum that model phenotypic evolution using Ornstein–Uhlenbeck processes. We focused on identifying where, how, and why these methods break down so that users can apply them with greater understanding of their strengths and weaknesses. Our analysis identifies three key determinants of performance: a discriminability ratio, a signal-to-noise ratio, and the number of taxa sampled. Interestingly, we find that model-selection power can be high even in regions that were previously thought to be difficult, such as when tree size is small. On the other hand, we find that model parameters are in many circumstances difficult to estimate accurately, indicating a relative paucity of information in the data relative to these parameters. Nevertheless, we note that accurate model selection is often possible when parameters are only weakly identified. Our results have implications for more sophisticated methods inasmuch as the latter are generalizations of the case we study.

Vector embeddings for the business descriptions of S&P 500 constituent companies.

Dataset for Comparative Analysis of Pesticide Use Determinants Among Smallholder Farmers From Costa Rica and Uganda. From cleaned data to figures. Original data not included. Publication Title: Comparative Analysis of Pesticide Use Determinants Among Smallholder Farmers From Costa Rica and Uganda Publication Abstract: Pesticides are used globally in agriculture and pose a threat to the health of farmers, communities, and the environment. Smallholder farmers in low-and middle-income countries have generally a low socio-economic status and educational level. Consequently, they are particularly vulnerable to negative impacts of pesticides on their health, yields, or land. In a Knowledge, Attitude, and Practices study, we compared the pest management practices between a market-oriented farming system in Zarcero County, Costa Rica, and a subsistence-based farming system in Wakiso District, Uganda. We conducted a cross-sectional survey among smallholder farmers from Costa Rica (n = 300) in 2016 and from Uganda (n = 302) in 2017. We enrolled conventional and organic farmers, but also farmers with mixed practices and non-applicators of any pest management strategy. We found that the majority of pesticides used in both case studies are classified as highly hazardous by the World Health Organization. While more than 90% of smallholder farmers from both countries were aware of the negative health effects of pesticide exposure, <11% in Costa Rica and <2% in Uganda reported using personal protective equipment every time they handled or applied pesticides. Hygiene and other safe use practices were not adopted by all farmers (<61%), especially among farmers applying more hazardous pesticides. Conventional farmers from Costa Rica (14%) and Uganda (19%) reported disposing pesticide residuals into rivers. Using a logistic regression we found that organic farmers were more likely to having been trained on safe pesticide use practices. Using a robust regression, we observed that smallholder household income was primarily driven by education and not directly by the use of synthetic pesticides. Our results suggest that negative effects of pesticides can be managed over the whole life cycle, from purchase, via storage and application to residual and waste management by fostering professionalization of farmers. We advise future safe use and handling interventions to consider the pesticide use-related socioeconomic and demographic findings highlighted in this paper.

fuzzy-set Qualitative Comparative Analysis for PhD Project "Sensing the risk - In search of the factors influencing the policy uptake of citizen sensing" Valid: 2020-09-16

Comparative analysis of diaspora policies.

These are the data for the replication of the statistical analysis in the article "The Enactment of Public Participation in Rulemaking: A Comparative Analysis". The dataset contains time-series (1995-2015) cross-sectional (39 OECD countries) observations, in csv format which was created for the purpose of explaining the adoption of legislations allowing public participation in and judicial review of rulemaking. The corresponding codebook lists the used variables and sources. The replication codes are for Stata.

This paper looks at the main finding by Amorim Neto (2011), namely that Brazil's power explains why it distanced itself from the country that had once been its great ally in the first half of the last century. We propose an alternative explanation grounded on the realist literature in IR. Ultimately, we seek to determine whether the variable has behaved in the same way for other South American countries, searching for independent variables that could help us explain a visible pattern in the region: the increasing distancing from the United States (USA) at the United Nations General Assembly. We want to contribute to the debate initiated by Amorim Neto (2011) and Schenoni (2012) for future research in the recent field of quantitative analysis of Brazilian Foreign Policy. Using Panel Corrected Standard Error analysis in ten South American countries from 1970 to 2007 we empirically prove that the lower the power gap between a South American country and the U.S., the lower its alignment with the USA in the UN General Assembly voting.

The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. The data analysis is described in NN Oiwa, K Li, CE Cordeiro and DW Heermann, 2022 [arXiv:2110.10508]. Detailed description of the Electronic Nucleotide Alignment method can be found in NN Oiwa, CE Cordeiro, DW Heerman (2016). We also add Caenorhabditis elegans (worm), Plasmodium falciparum (protozoan) and Arabidopsis thaliana (plant) as negative test, since there is not CTCF in these species.