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In a scenario of expanding competition between tourist destinations, DMOs face the challenge of positioning them attractively. To this end, these organizations can make use of various communication marketing strategies, including social media, platforms whose effectiveness is measured through engagement. From these channels originate the digital influencers, which in recent years have gained greater academic and marketing prominence. Given this theoretical foundation, this research aimed to measure the degree of engagement in publications with digital influencers on Instagram of Brazilian DMOs, with time frame between December / 17 and December / 18. To achieve the necessary results for the proposed problem, the data mining technique was used in a sample of 11 Instagram profiles from Brazilian state DMOs, selected after a filtering process. The collected data were treated from a quantitative descriptive approach, having as parameter three main indicators, as follows: (1) total publications, (2) likes and (3) comments. All these indices were defined after consulting the engagement literature. In addition, a T Test was done between paired samples to verify if there was a significative difference on the means. In general, the results indicated that posts with digital influencers have better results, given the proposed time frame, especially when compared with the indexes of general posts. However, inferential statistics indicated that the differences between means were not relevant. In such a way, the strategy of endorsement by influencers does not seem to produce relevant effects on user interaction in the profiles of Brazilian DMOs.The innovative character of this research stems from the use of the data mining technique to deliver accurate results as to the effectiveness of a rising social media strategy, providing managers with a solid framework for analysis and fostering the field of discussion.
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Time series of all experiments involving the reduction of Mn(IV) oxides by arsenite (As(III))
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The objective of this retrospective study was the evaluation of the outcome of a special interdisciplinary therapy program depending on the beginning of the rehabilitation after the initial injury of the hand or wrist. The outcome of a specialized hand rehabilitation immediately after the treatment program as well as short-term follow-up of 76 patients with injuries of the upper extremity (hand respectively wrist) and CRPS was analysed with the use of self-assessed parameters as well as objective functional scores. The patients were divided into a group with an early (< 120 days after trauma) or late (< 120 days after trauma) beginning of the rehabilitation. Better results for the early beginners were shown with statistical significance for the DASH–Score (p = 0.027) as well as ROM (p = 0.009) at follow-up. Especially patients with CRPS and finger injuries had a benefit. Our study shows the importance of an early beginning especially with respect to function. There are differences in between different injuries or diseases with respect to these effects, especially patients with CRPS seem to profit.
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Objective: To engage in a priority-setting exercise with both clinicians and consumers to determine systematic reviews of highest priority to update. Study Design & Setting: The US Satellite of the Cochrane Pregnancy & Childbirth Group (US-PCG) narrowed a list of over 600 review titles due for updating down to 97 review titles based on US relevance. The US-PCG then used the Delphi method to explore consensus on which titles to prioritize for updating. In Round 1, participants self-identified as a clinician/researcher or consumer, and then ranked titles into “high”, “medium”, and “low” priority groups. In Round 2, participants were given Round 1 results and asked to rank their top 5 titles. Results were analyzed within and between groups.
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All DEGs and primers sequences for qRT-PCR validation.
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This data set contains: 1) Isothermal titration calorimety (ITC) heat flow for Thisted brine (TB) titrated into Berea sandstone aged with TB and 2*DTB titrated into Berea sandstone aged with TB 2) Pressure measurements from coreflooding experiments 3) Effluent analysis: Ionic composition, alkalinity and iron concentration
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Data from: Bitomský M., Mládková P., Pakeman RJ, & Duchoslav M. (2020). Clade composition of a plant community indicates its phylogenetic diversity. Ecology and Evolution. doi: 10.1002/ece3.6170 Data summarises results from the case studies and simulations presented in our paper. In addition, we provide an R script for calculation of proposed phylogenetic diversity metrics (the clade indices). Brief description of each file: 1. Grasslands_DNA_markers_info.xls - Accession numbers of all DNA markers used for phylogeny inference in grasslands 2. Grasslands_DNA_alignment_BEFORE_GBlocks.fasta - DNA alignment matrix before utilisation of the GBlocks tool 3. Grasslands_DNA_alignment_AFTER_GBlocks.fasta - DNA alignment matrix after utilisation of the GBlocks tool 4. Grasslands_BEAST_file.xml - BEAST .xml file submitted to the CIPRES portal (www.phylo.org) 5. Grasslands_tree.txt - Dated MCC tree, grasslands (newick format) 6. Grasslands_tree.nex - Dated MCC tree, grasslands (nexus format) 7. Phyto-database_pruned_tree.txt - Pruned dated tree from the super tree of European flora (Durka & Michalski 2012, Ecology), phytosociological database (newick format) 8. Plot_data.slx - plot data of all case studies + species lists 9. Simulation_results.txt - Summary of R2 values (phylogeny-based metric ~ the clade index) for simulated phylogenies and community matrices (manipulated: phylogenetic scale, species pool size and species richness range) 10. Bitomsky2020EE_R_script_indices.R - An R script for computation of the clade indices (with notes and examples)
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Study Objective: To compare the rate of post-operative urinary retention (POUR) after total laparoscopic hysterectomy (TLH) using the autofill versus the backfill void trial. Secondary objectives were to compare the time to discharge from the recovery room, rate of post-operative urinary tract infection (UTI), perceived bladder condition, bladder function impact on life, and patient satisfaction. Design: Randomized controlled trial (Canadian Task Force classification I). Setting: Single academic medical center. Patients: Women who underwent TLH by conventional laparoscopy or robotic-assisted laparoscopy for benign non-urogynecologic indications. Interventions: After TLH, participants were randomized to have an autofill void trial (group A) or a backfill void trial (group B). Failure rate, time to discharge, and UTI rate were assessed. Participants completed the patient perception of bladder condition (PPBC) and the incontinence impact questionnaire-short form (IIQ-7) questionnaires. Patient satisfaction was assessed. Multiple regression analysis was performed to determine predictors of POUR. Measurements and Main Results: 82 participants completed the study after randomization: 42 in group A and 40 in group B. There were no statistically significant differences in demographic or perioperative outcomes. Seven participants had POUR in group A (16.7%) and 11 in group B (27.5%) (p = .36). The median time to discharge was 176 minutes for group A [160.5, 255.5] and 218 minutes for group B [180, 265] (p = 0.01). There were no statistically significant differences in rate of post-operative UTI (p = 1.00), PPBC scores (p = 0.24), IIQ-7 scores (p = 0.23), and patient satisfaction scores (p = 0.26). A stepwise logistic regression analysis demonstrated that pre-operative consumption of progesterone and non-same-day discharge may be weak predictors of POUR (p = .059 and p = .058, respectively). Conclusion: Autofill and backfill void trials result in a comparable rate of POUR with the autofill void trial resulting in faster same-day discharge.
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Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2020). Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat." Hypotheses and analyses were preregistered: Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2018). Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat. Open Science Framework. https://osf.io/8gchf/register/565fb3678c5e4a66b5582f67. Description of the dataset: A dataset of 37 men and 30 women (tested in the luteal phase of their menstrual cycle) participated in a public speaking task to induce social-evaluative threat. Responses of multiple stress systems were measured (sympathetic and parasympathetic nervous system activity, self-reported affect, and hypothalamic–pituitary–adrenal axis activity), as well as personality traits (e.g. trait social anxiety), and EEG delta-beta cross-frequency coupling (e.g., frontal and parietal amplitude-amplitude correlation and phase-amplitude coupling). Description of analyses files: - File 'README.txt' contains the description of the files (metadata). - File 'SET_CFC_MatlabOutput.xlsx' contains the delta-beta coupling data, calculated using MATLAB scripts from https://github.com/ESPoppelaars/Cross-frequency-coupling. - File 'SETData.sav' contains the raw stress and personality data, taken from https://doi.org/10.17632/7vj8r76s6f. - Files 'SET_CFC.outl.del.RData' contains the complete dataset with missing values and outliers deleted. - File 'Codebook_SET_CFC.outl.del.csv' contains a description of all variables in the 'SET_CFC.outl.del.RData' file (metadata). - Files 'SET_CFC.outl.del.imp.RData' and 'SET_CFC.outl.del.imp.extra.RData' contain multiple imputed datasets (without missing values) that can be used to reproduce results from the paper. - File 'LSA_HSA_brief.RData' contains data to use as informed priors for the Bayesian analyses, calculated from data published at https://doi.org/10.3758/s13415-018-0603-7. - File 'Codebook_LSA_HSA_brief.csv' contains a description of all variables in the 'LSA_HSA_brief.RData' file (metadata). - File '01_CalculationOfData.R' is an R analysis script that imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file. - File '02_AnalysisOfImputedData.R' is an R analysis script that calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R', as well as the 'BF_t.R' file as taken from https://doi.org/10.17045/sthlmuni.4981154.v3.
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This database contains experimental results that have been collected on steel-to-concrete bond strength after high temperature exposure. The results are sourced from a state of the art based on the available scientific literature in January 2019. The total number of references is 17, making a total of 466 experiments. The variables that have been identified are the following: • Type of fibre addition. • Fibre content expressed as percentage of volume fraction. • Concrete compressive strength at ambient temperature. • Bond length to rebar diameter ratio. • Clear concrete cover to rebar diameter ratio. • Age at testing. • Ratio between the duration of the thermal saturation at maximum temperature and the minimum specimen size squared. • Maximum exposure temperature. • Normalised bond strength, ratio between the bond strength after high temperature exposure and the original bond strength at ambient temperature. • The compressive strength after high temperature exposure, whenever the experiments covered this type of test. • The original peak bond strength value at ambient temperature. Also included, there is a tabulated representation of the main features of each experimental research.
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