Filter Results
3948422 results
The dataset consists of 3D scans of the upper and lower dentitions of 24 patients, all in their growth age, taken at different time intervals. All patients had normal occlusions with no history of orthodontic treatment. There are 3 scans avaialble for 8 out of 24 patients, and 2 scans available for the remaining 16 patients. The interval between each two consecutive scans is at least 2 years and at most 10 years. The dataset was created by 3D scanning of plaster models using a benchtop structured-light 3D scanner (Maestro 3D Desktop Scanner, Pontedera, Italy) with a point accuracy of <10 μm and resolution of <70 μm in all directions.
Data Types:
  • Software/Code
  • Dataset
Supplementary material: DEFINITION OF PROGNOSTIC SUBGROUPS IN THE T3-AJCC8 STAGE FOR CUTANEOUS SQUAMOUS CELL CARCINOMA: TENTATIVE T3 STAGE SUBCLASSIFICATION
Data Types:
  • Dataset
  • Document
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.
Data Types:
  • Tabular Data
  • Dataset
  • Document
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.
Data Types:
  • Tabular Data
  • Dataset
  • Document
  • Audio
these data will be published in the "A phenomenological model for the spontaneous exchange bias effect" article
Data Types:
  • Software/Code
  • Dataset
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.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Document
This file comprises the codes in R language to Lopes (2020)
Data Types:
  • Dataset
  • Document
This data contains four variables, childhood psychological maltreatment, immorality, empathy and cyberbullying perpetration attitudes
Data Types:
  • Software/Code
  • Dataset
The repository includes the dataset for the manuscript entitled A calibration framework for high-resolution hydrological models using a multiresolution and heterogeneous strategy submitted to WRR. Currently, we only deposit the data for plotting Fig4. Upon acceptance, we will store all the data in this repository.
Data Types:
  • Software/Code
  • Dataset
  • Document
  • Text
This data is tabulated raw data using the SPSS program from a questionnaire (from 338 respondents) measuring each variable (innovation mindset, knowledge management, organizational learning, organizational culture, organizational forgetting and competitive intelligence).
Data Types:
  • Software/Code
  • Dataset
  • Document
5