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Ergospyrometric evaluations are useful in physio-mechanics of locomotion. This dataset includes the raw ergospyrometric data of 6 young subjects during locomotion on a treadmill at different speeds and gaits. Characteristics of the experimental group: - gender: 5 males and 1 female - age: 26.5 (2.3 SD) - height: 171.5 cm (5.5 SD) - weight: 72.2 kg (7.5 SD) Equipments: - Cosmed K5 wearable metabolic analyzer - Software Cosmed Omnia v.1.6.5 Experimental design: Subjects were first asked to stand in orthostasis for 5' in order to assess their oxygen consumption in resting conditions. Then they were asked to walk, run and gallop (skipping) on the treadmill. Trial lasted 5' each, in order to reach a stable oxygen consumption during the last 2' of each one. Walk: the walking trials were performed one after the other at 2.0, 3.0, 4.0, 5.0, 6.0 km/h, as the effort was light and there were no signs of fatigue. A stable O2 consumption was reached shortly after the beginning of each step. Run: five trials (7.0, 8.5, 10.0, 11.5, 13.0 km/h) were performed in aleatory order. After each trial the subject rested 4 to 6', until his/her parameters returned to the rest conditions. Skipping: four trials (4.0, 5.5, 7.0, 8.5 km/h)* were performed in aleatory order. After each trial the subject rested 4 to 6', until his/her parameters returned to the rest conditions. (* One subject skip at 3.0, 5.0, 7.0, 9.0 km/h). Note: not all the subject performed the entire protocol. In particular some data are lacking in walking and skipping. Cost of Transport Analysis: - The resting O2 (RO2) consumption was computed as the averaged VO2 (ml/min/kg) of the 5' in orthostasis. - The trial O2 (TO2) consumption was computed as the averaged VO2 (ml/min/kg) of the last 2' of each speed trial - The exercise O2 (EO2) consumption was computed as TO2 - RO2 - The trial respiratory quotient (RQ) was computed as the averaged RQ (VCO2/VO2) of the last 2' of each speed trial - The RQ based Energetic Equivalent (EE) to transform mlO2 in Joules was derived from Di Prampero (2015). - The metabolic power (W/kg) was computed as (EO2 * EE) / 60 (remember that W = J/s) - The Cost of transport (J/kg/m) was computed by dividing the metabolic power for the speed (m/s) (Saibene and Minetti, 2003) All the participants signed an informed consent. The protocol was approved by the Ethical Committee of the University (#003065-000653-16). References: Di Prampero, P. E. (2015). La locomozione umana su terra, in acqua, in aria. Edi-Ermes, Milano. Saibene, F., & Minetti, A. E. (2003). Biomechanical and physiological aspects of legged locomotion in humans. European journal of applied physiology, 88(4-5), 297-316.
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The database contains the raw data needed to run the model. The consumption of coal, coke, crude oil, fuel oil, gasoline, kerosene, diesel, and natural gas are used to estimate CO2 emissions. Based on this, the carbon emission intensity of the seven provinces can be calculated from the ratio of the CO2 emissions to gross domestic product (GDP). Finally, the five covariates, which includes urbanization, economic growth, energy intensity, industry structure, and population density, are calculated through the indexes of GDP, gross output value of the secondary industry, energy consumption, total population, urban population, and Population density.
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Large surveys of peptides naturally presented on major histocompatibility class I (MHC I) proteins have enabled improved MHC I ligand prediction by dramatically expanding the available data for many MHC I alleles. However, it is unclear to what extent antigen processing signals can also be learned from these datasets. Here, we developed a predictor of antigen processing by training neural networks to discriminate mass spec-identified MHC I ligands from unobserved peptides, where both classes of peptides are predicted to be strong MHC I binders. The resulting predictor shows qualitative consistency with established preferences for the transporter associated with antigen processing, proteasomal cleavage, and endoplasmic reticulum aminopeptidases. When we combined the antigen processing predictor with a novel pan-allele MHC I binding predictor in a logistic regression model, the combination model significantly outperformed the two components alone as well as the NetMHCpan 4.0 and MixMHCpred 2.0.2 tools at predicting mass spec-identified MHC I ligands. Our predictors are implemented in the open source MHCflurry package, version 1.6.0 (github.com/openvax/mhcflurry).
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The procreative statistical framework of musical note structures produces a crucial role in multimedia music classification and reconstruction strategies. Another most significant thing for harmonious music composition is the rhythmic structures that provide musical performance in a harmonic form. This paper has illustrated computational music theory and allied factors to regulate what human beings can acquire, remember, and reconstruct music for sustaining intangible cultural heritage. The music strings or symbols are also imperative factors that assist the musicians as performance guidelines. To afford a syntactic outline of musical note arrangements, a stochastic model along with probabilistic context-free music grammar has been illustrated in this paper. The state transition analysis has also been incorporated in terms of transition table and diagram to demonstrate which state can move to the other one within a finite automaton depending on the behaviors of the current state and associated transition rule. Petri net has been used for modeling and simulating the projected complex music composition framework to analyze system performances. The Petri net simulation-based reachability and system efficiency have been evaluated for analyzing the effectiveness of the proposed event-driven architecture. For incorporating real data into the projected framework, the music composition and reconstruction tool has also been demonstrated. The system performance evaluation metric has shown that around 92% efficiency level has been achieved by analyzing the projected music composition model.
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Essentially the following data shows features of discourses held on Twitter regarding the last presidential campaign in Colombia (2018) based on the agenda-setting theory. The sample includes 62 Trending Topics and 620 tweets that were selected according to criteria of relevance and influence. A method of systematic content analysis was applied to gather data on sources and contents of messages. Five important findings are highlighted: 1. Traditional mass media were mainly responsible for defining the agenda on Twitter. 2. Within the context of the agenda outlined by the media, it was citizens who monopolized the discussion, thereby playing a key role in topic dissemination, candidates’ visibility, framings, and assessments. 3. The main topic of discussion was the campaign debate itself rather than programmatic measures. 4. No correlation between the positioning and visibility of the candidates in Twitter and the electoral results could be observed. 5. Positive/non-aggressive tones prevailed over negative/aggressive ones.
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Data for COVID-19 Coronavirus Pandemic from Worldometer (March 27, 2020)
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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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This data includes tests instances for a dynamic hybrid Berth Allocation Problem (BAP) with routing constraints (routes between storage hangars and berths) in a bulk port with multiple quays, different water depths, and heterogeneous loading equipment. These instances were generated based on a sample of data obtained from OCP group, a world leader in the phosphate industry. Computational results and Gantt charts are also provided.
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The Zr-1.05Nb, Zr-0.85Nb-0.20Ta and Zr-0.85Nb-0.40Ta alloys with an alpha plus beta equilibrium microstructure (annealing 570 °C for 3840 h) were measured by EDS-TEM. The measurements of beta phase (precipitates) was carried out in carbon extraction replicas and alpha phase (matrix) was carried out in thin films. The EDS-TEM spectra were obtained with a field emission TEM FEI Tecnai F20 G2 (FEG) operated at 200 kV with an EDAX EDS detector, take-off angle 14.8°, sample rotation 15° and data collected from a focused spot of 15 nm diameter (spot3). The EDS-TEM measurements were made by Dra. Eugenia Zelaya in the Centro Atómico Bariloche, Comisión Nacional de Energía Atómica, Argentina. The group of measurements in this dataset will be the main part of the manuscript: P.A. Ferreirós, P.R. Alonso, D.P. Quirós, E. Zelaya, G.H. Rubiolo, Accurate quantitative EDS-TEM analysis of precipitates and matrix in equilibrium (Alpha+Beta) Zr-1Nb alloys with Ta addition. Manuscript to be sent to Journal of Nuclear Materials (March 2020)
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This is a csv file with 36 rows and 16 columns. Each row gives data for one of the 36 OECD countries. Column 1: country code Column 2: 2016 Healthcare spending (in $ per capita) Column 3: 2017 Population Column 4: 2016 Human Development Index Column 5: 2016 GINI index (if no data for 2016, data is given for 2015 or 2014) Column 6: 2016 Unemployment rate Column 7: 2017 Prevalence rate of mental disorders (all combined) Column 8: 2017 Prevalence rate of Autism Spectrum Disorders Column 9: 2017 Prevalence rate of ADHD Column 10: 2017 Prevalence rate of Depression Column 11: 2017 Prevalence rate of Schizophrenia Column 12: 2017 Prevalence rate of Anxiety disorders Column 13: 2017 Prevalence rate of Eating disorders Column 14: 2017 Prevalence rate of Alcohol use disorders Column 15: 2017 Suicide rate Column 16: 2017 Prevalence rate of Bipolar disorders
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