Institution
Federal University of São Carlos
Education•São Carlos, Brazil•
About: Federal University of São Carlos is a education organization based out in São Carlos, Brazil. It is known for research contribution in the topics: Population & Microstructure. The organization has 16471 authors who have published 34057 publications receiving 456654 citations. The organization is also known as: UFSCar & Federal University of São Carlos.
Topics: Population, Microstructure, Catalysis, Alloy, Crystallization
Papers published on a yearly basis
Papers
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TL;DR: Maximum muscle strength may be optimized by specific training methods (i.e., HL-RT) while both HL- and BFR-RT seem equally effective in increasing muscle mass, according to the present data.
Abstract: Low-load resistance training ( 65% 1RM; HL-RT). To compare the effects of HL- versus BFR-RT on muscle adaptations using a systematic review and meta-analysis procedure. Studies were identified via electronic databases based on the following inclusion criteria: (a) pre- and post-training assessment of muscular strength; (b) pre- and post-training assessment of muscle hypertrophy; (c) comparison of HL-RT vs. BFR-RT; (d) score ≥ 4 on PEDro scale; (e) means and standard deviations (or standard errors) are reported from absolute values or allow estimation from graphs. If this last criterion was not met, data were directly requested from the authors. The main results showed higher increases in muscle strength for HL- as compared with BFR-RT, even when considering test specificity, absolute occlusion pressure, cuff width, and occlusion pressure prescription. Regarding the hypertrophic response, results revealed similar effects between HL- and BFR-RT, regardless of the absolute occlusion pressure, cuff width, and occlusion pressure prescription. Based on the present data, maximum muscle strength may be optimized by specific training methods (i.e., HL-RT) while both HL- and BFR-RT seem equally effective in increasing muscle mass. Importantly, BFR-RT is a valid and effective approach for increasing muscle strength in a wide spectrum of ages and physical capacity, although it may seem particularly of interest for those individuals with physical limitations to engage in HL-RT.
236 citations
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TL;DR: In this article, a steam reforming of ethanol was studied at 400°C on Co/Al 2 O 3 and Co/SiO 2 catalysts with a cobalt content of 8 and 18% respectively.
235 citations
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TL;DR: This minireview describes the main developments of electronic tongues (e-tongues) and taste sensors in recent years, with a summary of the principles of detection and materials used in the sensing units.
Abstract: This minireview describes the main developments of electronic tongues (e-tongues) and taste sensors in recent years, with a summary of the principles of detection and materials used in the sensing units. E-tongues are sensor arrays capable of distinguishing very similar liquids employing the concept of global selectivity, where the difference in the electrical response of different materials serves as a fingerprint for the analysed sample. They have been widely used for the analysis of wines, fruit juices, coffee, milk and beverages, in addition to the detection of trace amounts of impurities or pollutants in waters. Among the various principles of detection, electrochemical measurements and impedance spectroscopy are the most prominent. With regard to the materials for the sensing units, in most cases use is made of ultrathin films produced in a layer-by-layer fashion to yield higher sensitivity with the advantage of control of the film molecular architecture. The concept of e-tongues has been extended to biosensing by using sensing units capable of molecular recognition, as in films with immobilized antigens or enzymes with specific recognition for clinical diagnosis. Because the identification of samples is basically a classification task, there has been a trend to use artificial intelligence and information visualization methods to enhance the performance of e-tongues.
233 citations
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TL;DR: The data suggest that this fish species has a natural preference for a dark environment and this characteristic can be very useful for the development of new behavioral paradigms for fish.
Abstract: The zebrafish (Danio rerio) has been used as a model in neuroscience but knowledge about its behavior is limited. The aim of this study was to determine the preference of this fish species for a dark or light environment. Initially we used a place preference test and in a second experiment we applied an exit latency test. A two-chamber aquarium was used for the preference test. The aquarium consisted of a black chamber and a white chamber. In the first experiment the animal was placed in the aquarium and the time spent in the two compartments was recorded for 10 min. More time was spent in the black compartment (Wilcoxon matched-pairs signed-rank test, T = 7, N1 = N2 = 18, P = 0.0001). In the second experiment the animal was placed in the black or white compartment and the time it took to go from the initial compartment to the opposite one was recorded. The test lasted a maximum of 10 min. The results showed that the animal spent more time to go from the black to the white compartment (Mann-Whitney rank sum test, T = 48, N1 = 9, N2 = 8, P<0.0230). These data suggest that this fish species has a natural preference for a dark environment and this characteristic can be very useful for the development of new behavioral paradigms for fish.
232 citations
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TL;DR: In this paper, the authors assess and compare glass-forming ability (GFA) and several glass stability (GS) parameters through quantitative criteria, including the critical cooling rate, qcr, calculated from an estimated number of heterogeneous nucleation sites per unit surface, Ns, and from experimental crystal growth rates, u(T), assuming a detectable surface crystallized fraction Xc = 0.001.
Abstract: Glass-forming ability (GFA) is the easiness to vitrify a liquid on cooling, while glass stability (GS) is the glass resistance against devitrification on heating; but it is questionable if there is any direct relationship between these two parameters. Therefore, to test this possibility, we assess and compare GFA and several GS parameters through quantitative criteria. GFA and GS were calculated for six stoichiometric glass forming oxides that only present surface (heterogeneous) crystallization in laboratory time scales: GeO2 ,N a 2O AE 2SiO2, PbO AE SiO2, CaO AE Al2O3 AE 2SiO2, CaO AE MgO AE 2SiO2 and 2MgO AE 2Al2O3 AE 5SiO2; plus Li2O AE 2SiO2 and Li2O AE 2B2O3 that, in addition to surface nucleation, also present homogeneous (internal) crystallization. We gauge GFA by the critical cooling rate, qcr, which was calculated from an estimated number of heterogeneous nucleation sites per unit surface, Ns, and from experimental crystal growth rates, u(T), assuming a detectable surface crystallized fraction Xc = 0.001. We define GS parameters by fourteen different combinations of the following characteristic differential thermal analysis (DTA) or differential scanning calorimetry (DSC) temperatures: the glass transition temperature (Tg), the onset crystallization temperature on heating ðT h Þ, the peak crystallization temperature on heating ðT h Þ, and the melting point (Tm). To obtain the experimental GS parameters for each glass we carried out DSC runs using coarse and fine powders, and completed the necessary data with literature values for Tm. The results for fine and coarse particles were quite similar. Most of the GS parameters that consist of three characteristic DSC temperatures show excellent correlation with GFA, however, rather poor correlations were observed for parameters that use only two characteristic temperatures. We thus demonstrated that certain, but not all GS parameters can be used to infer GFA. � 2005 Elsevier B.V. All rights reserved.
232 citations
Authors
Showing all 16693 results
Name | H-index | Papers | Citations |
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Akihisa Inoue | 126 | 2652 | 93980 |
Michael R. Hamblin | 117 | 899 | 59533 |
Daniel P. Costa | 89 | 531 | 26309 |
Elson Longo | 86 | 1454 | 40494 |
Ross Arena | 81 | 671 | 39949 |
Tom M. Mitchell | 76 | 315 | 41956 |
José Arana Varela | 76 | 748 | 23005 |
Luiz H. C. Mattoso | 66 | 455 | 17432 |
Steve F. Perry | 66 | 294 | 13842 |
Edson R. Leite | 63 | 535 | 15303 |
Juan Andrés | 60 | 493 | 13499 |
Edward R. T. Tiekink | 60 | 1967 | 21052 |
Alex A. Freitas | 60 | 345 | 14789 |
Mary F. Mahon | 59 | 539 | 14258 |
Osvaldo N. Oliveira | 59 | 614 | 16369 |