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The technopreneur reseach & publication dataset, which was indexed by Scopus from 2000 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
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The economics spectrum (ES) and functional equilibrium hypothesis were tested through the multivariate analysis evaluating the fertilization treatments, species and biological nitrogen fixation effects. The excel archive presents the raw collected data, the standardized by the relativization maximum method data, and the nonmetric multidimensional scaling loadings and product-moment correlations (r). We encourage to use the raw dataset for further meta analysis studies. The Relative growth rates in diameter (RGR d) and height (RGR h); the absolute growth rates in biomass (AGR bio); leaf mass fraction (LMF); stem mass fraction (SMF); root mass fraction (RMF); shoot-to-root ratio (S:R); biomass production of the leaf (Leaves), stem (Stems) and root (Roots) components; phosphorous (P) and nitrogen (N) concentrations and nitrogen-to-phosphorous ratio (N:P) of leaves (leaf), stems (stem) and roots (root), was presented for the low nutrient (1) and high nutrient (2) fertilization treatments and for the 6 species studied sp1. Cenostigma tocantinum; sp2. Senna reticulata; sp3. Dipteryx odorata; sp4. Clitoria fairchildiana; sp5. Ina edulis; sp6. Acacia sp. The main findings of our study confirm the ES and functional equilibrium hypothesis as most species increased RGRs in diameter and height under high-nutrient regime, whereas plants under low-nutrient treatment increased allocation to the root mass fraction. Under the low-nutrient treatment Acacia sp. somehow diverged from the ES and functional equilibrium assumptions having significant growth. Growth rates and RMF were sensitive to the fertilization and species effects whereas nutrient concentrations were mostly insensitive to environmental cues.
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The present study had the objective of analyze the GxE effects in clonal tests of loblolly pine implanted in the South and Southeast regions of Brazil. For this, 75 clones and three commercial controls were tested using randomized block design, with eight replicates and one plant per plot repeated in four sites. Measurements were performed at 11 years of age and the evaluated traits were: diameter at breast height (dbh), total height and volume. The GGE biplot and the Harmonic Mean of the Relative Performance of Genotypic Values (MHPRVG) methods were used to study GxE effects.
Data Types:
  • Tabular Data
  • Dataset
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
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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  • Document
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.
Data Types:
  • Tabular Data
  • Dataset
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).
Data Types:
  • Tabular Data
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  • File Set
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:
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  • Document
  • Audio
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.
Data Types:
  • Tabular Data
  • Dataset
these data will be published in the "A phenomenological model for the spontaneous exchange bias effect" article
Data Types:
  • Software/Code
  • Dataset
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