Liquid mixtures involving fluorinated alcohols: The equation of state (p, r, T, x) of (Ethanol + Trifluoroethanol) Experimental and Simulation

Liquid mixtures involving fluorinated alcohols: The equation of state (p, r, T, x) of (Ethanol + Trifluoroethanol) Experimental and Simulation Pedro Duartea, Djêide Rodriguesa, Marcelo Silvaa, Pedro Morgadoa, Luís Martinsa,b and Eduardo J. M. Filipea* aCentro de Química Estrutural, Instituto Superior Técnico, 1049-001 Lisboa, Portugal bCentro de Química de Évora, Universidade de Évora, 7000-671 Évora, Portugal Fluorinated alcohols are substances with unique properties and high technological value in the pharmaceutical and chemical industries. Trifluoroethanol (TFE), in particular, displays a number of unusual properties as a solvent. For example, it dissolves nylon at room temperature and is effectively used as solvent in bioengineering. The presence of the three fluorines atoms gives the alcohol a high ionization constant, strong hydrogen bonding capability and stability at high temperatures. In the pharmaceutical industry, TFE finds use as the major raw material for the production of inhalation anesthetics. Mixtures of TFE and water (known as Fluorinols®) are used as working fluids for Rankine cycle heat engines for terrestrial and space applications, as a result of a unique combination of physical and thermodynamic properties such as high thermal efficiency and excellent turbine expansion characteristics. Environmentally, TFE is a CFC substitute with an acceptable short lifetime and with small ozone depletion potential. Additionally, TFE is known to induce conformational changes in proteins and it is used as a co-solvent to analyze structural features of partially folded states. The (ethanol + TFE) system displays an interesting and peculiar behaviour, combining a negative azeotrope with high positive excess volumes. In this work, liquid mixtures of (ethanol + TFE) were investigated. The densities of the mixtures were measured as a function of composition between 278K and 338K and at pressures up to 700 bar. The corresponding excess volumes as a function of temperature and pressure, the isothermal compressibilities and thermal expansivities were calculated from the experimental results. The mixtures are highly non-ideal with excess volumes ranging from 0.8 - 1.0 cm3mol-1. Finally, molecular dynamic simulations were performed to model and interpret the experimental results. The Trappe force field was used to simulate the (TFE + ethanol) mixtures and calculate the corresponding excess volumes. The simulation results are able to reproduce the correct sign and order of magnitude of the experimental VE without fitting to the experimental data. Furthermore, the simulations suggest the presence of a particular type of hydrogen bridge between ethanol and TFE, that can help to rationalize the experimental results

A Method to Tackle First Order Differential Equations with Liouvillian Functions in the Solution - II

We present a semi-decision procedure to tackle first order differential equations, with Liouvillian functions in the solution (LFOODEs). As in the case of the Prelle-Singer procedure, this method is based on the knowledge of the integrating factor structure.Comment: 11 pages, late

Gestão da biodiversidade e produção agrícola: o Cerrado goiano.

Este trabalho procura realizar uma reflexão sobre os processos e políticas ambientais e de gestão da biodiversidade relacionados com o ecossistema do Cerrado. Para tanto, realiza uma síntese do significado desse ecossistema, procura resgatar alguns conteúdos históricos relacionados à ocupação desse território e busca identificar os principais atores e tensões sociais envolvidos no processo que define o atual padrão ambiental do mesmo. Para que, em uma visão sistêmica, o processo de ocupação do Cerrado de Goiás possa ser melhor compreendido, foi feito um esforço para demonstrar o arcabouço institucional e legal, no âmbito federal e estadual, e as possíveis formas de gestão relacionadas com o manejo da biodiversidade local

Human-robot interaction: Exploring the ability to express emotions by a social robot

Robots should have characteristics that make the interaction effective and fluent for a successful Human-Robot Interaction (HRI). Since the emotions play a fundamental role in the human interaction process, many robots are introduced facial expressions, speech, body movements, among others to deepen the HRI. This chapter presents the exploration, design, and evaluation of the recognition of emotions displayed by a social robot. Initially, a pre-experiment was done to program the emotions in a virtual prototype. Afterwards, a pilot study and two experiments were conducted by manipulating the robot facial expressions and body movements to evaluate the recognition of the emotions. The results show that joy, surprise, and sadness have higher correct recognition and fear, disgust, and anger reported as lower recognition. Further study is needed regarding body movement and displacement of the robot for disgust, fear, and anger. Moreover, a robot should be introduced in a specific context to increase the recognition of emotions.info:eu-repo/semantics/acceptedVersio

DYNAMICAL FACTORS RELATED TO VERTICAL JUMP PERFOMANCE

INTRODUCTION - In most of sport exercises, the displacement of body Center of Mass (CM) is an important factor to de-terminate performance. And greater the velocity at takeoff phase, greater the height achieved by the body CM. High jumps are influenced by the net combination of different joints moments and its synchronization during this task. Thus, also the countermovement may influence high jump performance (HOCHMUTH & MARHOLD, 1978). To measure the effectiveness of training into increasing the height in vertical jump relays information to both coach and athlete in manner to adapt the training. The purpose of this study is to analyze temporal and frequencies factors of ground reaction force GRF and the effect of limitation of arms swing and trunk extension in vertical jump. METHODS AND EQUIPMENT - All the exercises were performed on a strain gauges force platform. The ground reaction force (GRF) had been sampled at 800 Hz frequency and after the determination of its frequency components by the use of FFT, the raw signals were low-pass filtered at 160 Hz. A video camera was exerted to control the set of jumps. The volunteer subject for this study was a male high jumper, 26 years old, 70.4f0.5 kg weight, 184.0k0.5 cm tall. Four different types of vertical jumps were performed (set of 5 trials) and analyzed in this study: 1) standard vertical jump; 2) jump with- out the elevation of upper limbs; 3) jump without the extension of trunk; and 4) jump without both the elevation of upper limbs and extension of trunk. All that jumps were preceded by countermovement. RESULTS AND DISCUSSION - Although four different techniques had been per- formed for high jumps, the temporal factors (DOWLINH & VAMOS, 1993) did not differ statistically (duration of major positive impulse and duration of major negative impulse). Eccentric and concentric phases was not different statistically. Power spectral analysis has showed that trunk mobility might be more influent than upper limb swing in the dynamic4 characteristics of the analyzed movement. Informations provided by spectral analysis probably relays important data to identify the influence of different body segments in vertical jump. It was not confirmed that the maintenance of a steady state just before the maximum vertical GRF or reducing the depression between the two positive peaks is related to the acceleration caused by arms swing. On the other hand, our results indicate that the first positive peak is probably exerted by trunk extension. In spite of the limitation of trunk and upper limb mobility, it is clear that is not possible to exclude their influence in total body moment of inertia. CONCLUSION - According to our results, despite different jumping exercises, restrictions to joints mobility changes the maxi- mum vertical GRF. Besides, tests that intend to measure the performance in high jumps according the use or not of parts of the human body may be reconsidered. REFERENCES Hochmuth G.; Marhold G. (1983) In Asmussen E. Jagenssen K. Biomechanics VI B. Dowling J.J.; Vamos L. (1 9933 J. Applied. Biornech. 9, 95-110

Efeito da germinação a baixas temperaturas sobre o vigor de sementes de feijão comum.

O presente trabalho teve como objetivo estimar o efeito do frio sobre o vigor de sementes de feijão comum

A probabilistic approach to emission-line galaxy classification

We invoke a Gaussian mixture model (GMM) to jointly analyse two traditional emission-line classification schemes of galaxy ionization sources: the Baldwin-Phillips-Terlevich (BPT) and $\rm W_{H\alpha}$ vs. [NII]/H$\alpha$ (WHAN) diagrams, using spectroscopic data from the Sloan Digital Sky Survey Data Release 7 and SEAGal/STARLIGHT datasets. We apply a GMM to empirically define classes of galaxies in a three-dimensional space spanned by the $\log$ [OIII]/H$\beta$, $\log$ [NII]/H$\alpha$, and $\log$ EW(H${\alpha}$), optical parameters. The best-fit GMM based on several statistical criteria suggests a solution around four Gaussian components (GCs), which are capable to explain up to 97 per cent of the data variance. Using elements of information theory, we compare each GC to their respective astronomical counterpart. GC1 and GC4 are associated with star-forming galaxies, suggesting the need to define a new starburst subgroup. GC2 is associated with BPT's Active Galaxy Nuclei (AGN) class and WHAN's weak AGN class. GC3 is associated with BPT's composite class and WHAN's strong AGN class. Conversely, there is no statistical evidence -- based on four GCs -- for the existence of a Seyfert/LINER dichotomy in our sample. Notwithstanding, the inclusion of an additional GC5 unravels it. The GC5 appears associated to the LINER and Passive galaxies on the BPT and WHAN diagrams respectively. Subtleties aside, we demonstrate the potential of our methodology to recover/unravel different objects inside the wilderness of astronomical datasets, without lacking the ability to convey physically interpretable results. The probabilistic classifications from the GMM analysis are publicly available within the COINtoolbox (https://cointoolbox.github.io/GMM\_Catalogue/).Comment: Accepted for publication in MNRA