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LGBT data for my research on psychopathology in LGBT Croats. Language is Croatian, so for every consideration and question contact author for further instructions, translation or explanation.
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This page contains the dataset extracted from various online cryptomarket on the darknet using the TOR browser
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This dataset presents a delay-based lean performance assessment. A survey was designed based on analytic hierarchy process algorithm to measure the effectiveness of forty lean tools on four project delay sources. The survey focused on experts’ opinions, experiences and knowledge of construction project delays and lean management tools. The experts were asked to prioritize the selected alternatives (lean tools) and to distinguish in general the tools which are more or less important. The alternatives in each level were compared with each other using analytic hierarchy process and the values obtained are highlighted in one file (Lean_delay-based_data.xlsx) containing pairwise comparison, weights, normalization, priority values, random index, lambda(max), consistency index and consistency ratio. For every criterion (four main delay sources), pairwise comparisons were made for the alternatives, that is, forty lean tools. Synthesis of the weights from the pairwise comparisons was undertaken and their normalized values were calculated to obtain their respective eigenvalues.
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Major and select geochemical data compiled from literature from Laxmi Basin, Deccan and North Atlantic traps, as well as select Western Pacific proto-arc basalts for comparison in "The Laxmi Basin is a Rifted Volcanic Margin, not a Phantom Subduction Zone" by Peter D. Clift, Gérôme Calvès, Tara N. Jonell, Nature Communications
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A sample selected proportional to the business’ concentration in the territory, with an error of 5%. For a period of two months, the researchers visited each of the selected companies to conduct the survey and conducted an interview to increase the response rate, which was 78.5%. To control the bias of non-response, a goodness of fit test was carried out, confirming that it was adjusted to the population. Finally, 190 surveys were performed, whereupon the error rate increased to 5.9%.
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Original dataset from Lopes et al. (2009)
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All raw data, including toxicity, Synergism bioassay, Detoxification enzyme activities and the relative normalized expression of four resistant-related P450 genes.
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Data for "Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in U.S. Lakes" by Signe Stroming, Molly Robertson, Bethany Mabee, Yusuke Kuwayama, and Blake Schaeffer.
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Raw data for this paper
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Aim of the study: In-house cardiac arrest is a common event associated with high morbidity and mortality. Fortunately, an optimal clinical response can improve patient outcomes. Advanced cardiac life support (ACLS) guidelines represent evidence-based management of in-hospital cardiac arrest, but numerous studies show that compliance is suboptimal. We developed an electronic decision support tool and investigated whether the use of the tool improves adherence to ACLS guidelines. Methods: A prospective randomised trial was conducted at Vanderbilt University Medical Center. Unannounced in-situ simulations of in-hospital cardiac arrest were performed in intensive care unit settings over 15 months. Code teams assembled from physicians and nurses on clinical duty at the time of simulation were randomised to either the electronic decision support tool (eDST) or a control group. Simulations were video recorded and graded for adherence to ACLS guidelines. Results: Use of the new tool resulted in an absolute 10% increase in the percentage of correct clinical actions between the control (n=16) and intervention (eDST; n=11; 73% vs 83%; p=0.001). Use of the tool also resulted in a reduction in median number of errors committed per simulation (2 vs 1, p<0.001). Conclusion: In this study, an electronic decision support tool improved team performance as measured by increased adherence to ACLS guidelines and a reduction in errors. Future research should investigate optimal implementation of the eDST into routine clinical practice and observed impact on both process and outcome metrics.
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