Argentine Business University, Buenos Aires
Buenos Aires, Argentina
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Arganaras L.F.C.,Argentine Business University, Buenos Aires
Proceedings of the International Astronautical Congress, IAC | Year: 2016

Space technology has triggered an important impact in the field of International Relations. The Law has provided a tool such as international cooperation for technological development; for example, Resolution 2625 (XXV) of the UN General Assembly, entitled "Declaration on the Principles of Friendly Relations and Cooperation between States", enforced on 24th October 1970 and the "Declaration on International Cooperation in the Exploration and Use of Outer Space for the Benefit and the Interest of all States Taking into Particular Account the Needs of Developing Countries" (Resolution 51/122). Both of them include principles and rules of behavior. Among their principles they include the duty of States to cooperate among them in accordance with the United Nations Charter and the 1967 Space Treaty. The Agreement on Construction, Establishment and Operation of a Deep Space Station of China in the Province of Neuquén (Argentina) was signed between Argentina and China on April 23rd, 2014. Previous to this, an agreement between the National Commission on Space Activities (CONAE) of Argentina and the public company China Satellite Launch and Tracking (CLTC) had been signed on July 20th, 2012. Finally, the Framework Agreement for Cooperation in the Field of Space Activities Between the Government of the Argentine Republic and the Government of the Peoples Republic of China was signed on 4th February, 2015. The objective of this paper is to carry out an analysis to determine to what extent international cooperation is helping Argentina to develop Space technology in the framework of these cooperation agreements signed between Argentina and China.

Garcia Barber X.,Argentine Business University, Buenos Aires
Investigaciones de Historia Economica | Year: 2016

The end of the monopoly of manufacture, distribution and sale of beer in Madrid in 1791 led to the implementation and development of this industry in the Spanish capital after the end of the War of Independence. The gradual emergence of breweries, mainly by master brewers from German states, led to this sector becomingthe second industry in importance in Madrid behind heavy industry during the eighteen sixties. Also, reducing the distance from the price of beer compared to wine and institutional protection in tax and foreign trade regulations would encourage beer consumption in Madrid to widen its leadership in Spain. © 2014 Asociación Española de Historia Económica.

Negri P.,CONICET | Negri P.,Argentine Business University, Buenos Aires
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

Address-Event Representation is a flowering technology that can change the visual perception of the computer vision world. This paper proposes a methodology to associate the input data from this kind of sensors. A new descriptor computed using an extended LBP operator seeks to characterize the connectivity of the asynchronous incoming events in a two dimensional space. Those features can be organized on histograms and combined with others descriptors, as histograms of oriented events. They can be the input of traditional classifiers to detect or recognize objects from the scene. © Springer International Publishing AG 2017.

Negri P.,Argentine Business University, Buenos Aires | Garayalde D.,Buenos Aires Institute of Technology
DYNA (Colombia) | Year: 2017

Retrieving useful information from video sequences, such as the dynamics of pedestrians, and other moving objects on a video sequence, leads to further knowledge of what is happening on a scene. In this paper, a Target Framework associates each person with an autonomous entity, modeling its trajectory and speed by using a state machine. The particularity of our methodology is the use of a Movement Feature Space (MFS) to generate descriptors for classifiers and trackers. This approach is applied to two public sequences (PETS2009 and TownCentre). The results of this tracking outperform other algorithms reported in the literature, which have, however, a higher computational complexity. © The author; licensee Universidad Nacional de Colombia.

Wehbe R.,Argentine Business University, Buenos Aires
IEEE Latin America Transactions | Year: 2013

During the requirements elicitation phase a software engineer tries to determine what the customer really wants (and needs.) This task requires, on the one hand, strong communication skills and, on the other hand, a good engineering background to construct a coherent set of requirements. There is a thus a conflict informal and formal techniques. Scenarios are a powerful communication tool and may be given a formal semantics so that they may be amenable to formal verification. We present a method to verifying properties of scenarios based on fixed points of predicate transformers. This work is adapted from an approach that had been originally proposed by Sifakis for transition systems. Scenarios are modelled in a similar way to Diijkstras guarded commands. © 2003-2012 IEEE.

Horowitz J.,University of Massachusetts Amherst | Normand M.D.,University of Massachusetts Amherst | Corradini M.G.,Argentine Business University, Buenos Aires | Peleg M.,University of Massachusetts Amherst
Applied and Environmental Microbiology | Year: 2010

After a short time interval of length δt during microbial growth, an individual cell can be found to be divided with probability P d(t)δt dead with probability Pm(t)δt, or alive but undivided with the probability 1 - [Pd(t) + P m(t)]δt, where t is time, Pd(t) expresses the probability of division for an individual cell per unit of time, and P m(t) expresses the probability of mortality per unit of time. These probabilities may change with the state of the population and the habitat's properties and are therefore functions of time. This scenario translates into a model that is presented in stochastic and deterministic versions. The first, a stochastic process model, monitors the fates of individual cells and determines cell numbers. It is particularly suitable for small populations such as those that may exist in the case of casual contamination of a food by a pathogen. The second, which can be regarded as a large-population limit of the stochastic model, is a continuous mathematical expression that describes the population's size as a function of time. It is suitable for large microbial populations such as those present in unprocessed foods. Exponential or logistic growth with or without lag, inactivation with or without a "shoulder," and transitions between growth and inactivation are all manifestations of the underlying probability structure of the model. With temperature-dependent parameters, the model can be used to simulate nonisothermal growth and inactivation patterns. The same concept applies to other factors that promote or inhibit microorganisms, such as pH and the presence of antimicrobials, etc. With Pd(t) and Pm(t) in the form of logistic functions, the model can simulate all commonly observed growth/mortality patterns. Estimates of the changing probability parameters can be obtained with both the stochastic and deterministic versions of the model, as demonstrated with simulated data. Copyright © 2010, American Society for Microbiology. All Rights Reserved.

Bermudez-Aguirre D.,Washington State University | Corradini M.G.,Argentine Business University, Buenos Aires
Food Research International | Year: 2012

Salmonella spp. has recently been involved in a number of food-borne outbreaks with a high impact on pharmaceuticals, food safety, and the economy. These outbreaks have increased the need to understand the behavior of this microorganism under conventional and new technologies applied to reduce its presence in food products. In the last twenty years, a number of emerging food processing technologies have been proposed as alternatives to thermal food processing. Studies have proven that these technologies ensure microbial inactivation while producing foods with better nutritional and sensory characteristics. Salmonella is one of the target microorganisms under study for these novel technologies showing encouraging results. Salmonella inactivation using conventional and novel technologies often does not follow first order kinetics, posing the need for models that adequately describe its survival curves and have predictive ability. This manuscript presents a summary of some of the emerging technologies used to inactivate Salmonella species in different food products and model systems, along with their inactivation patterns. It also reviews the models currently proposed to describe and estimate Salmonella inactivation under conventional thermal treatments and their applicability and limitations to characterize the survival curves obtained during exposure to novel technologies. © 2011 Elsevier Ltd.

Peleg M.,University of Massachusetts Amherst | Normand M.D.,University of Massachusetts Amherst | Horowitz J.,University of Massachusetts Amherst | Corradini M.G.,Argentine Business University, Buenos Aires
Applied and Environmental Microbiology | Year: 2011

The expanded Fermi solution was originally developed for estimating the number of food-poisoning victims when information concerning the circumstances of exposure is scarce. The method has been modified for estimating the initial number of pathogenic or probiotic cells or spores so that enough of them will survive the food preparation and digestive tract's obstacles to reach or colonize the gut in sufficient numbers to have an effect. The method is based on identifying the relevant obstacles and assigning each a survival probability range. The assumed number of needed survivors is also specified as a range. The initial number is then estimated to be the ratio of the number of survivors to the product of the survival probabilities. Assuming that the values of the number of survivors and the survival probabilities are uniformly distributed over their respective ranges, the sought initial number is construed as a random variable with a probability distribution whose parameters are explicitly determined by the individual factors' ranges. The distribution of the initial number is often approximately lognormal, and its mode is taken to be the best estimate of the initial number. The distribution also provides a credible interval for this estimated initial number. The best estimate and credible interval are shown to be robust against small perturbations of the ranges and therefore can help assessors achieve consensus where hard knowledge is scant. The calculation procedure has been automated and made freely downloadable as a Wolfram Demonstration. Copyright © 2011, American Society for Microbiology. All Rights Reserved.

Micha P.,University of Massachusetts Amherst | Corradini M.G.,Argentine Business University, Buenos Aires
Critical Reviews in Food Science and Nutrition | Year: 2011

Most of the models of microbial growth in food are Empirical algebraic, of which the Gompertz model is the most notable, Rate equations, mostly variants of the Verhulst's logistic model, or Population Dynamics models, which can be deterministic and continuous or stochastic and discrete. The models of the first two kinds only address net growth and hence cannot account for cell mortality that can occur at any phase of the growth. Almost invariably, several alternative models of all three types can describe the same set of experimental growth data. This lack of uniqueness is by itself a reason to question any mechanistic interpretation of growth parameters obtained by curve fitting alone. As argued, all the variants of the Verhulst's model, including the Baranyi-Roberts model, are empirical phenomenological models in a rate equation form. None provides any mechanistic insight or has inherent advantage over the others. In principle, models of all three kinds can predict non-isothermal growth patterns from isothermal data. Thus a modeler should choose the simplest and most convenient model for this purpose. There is no reason to assume that the dependence of the "maximum specific growth rate" on temperature, pH, water activity, or other factors follows the original or modified versions of the Arrhenius model, as the success of Ratkowsky's square root model testifies. Most sigmoid isothermal growth curves require three adjustable parameters for their mathematical description and growth curves showing a peak at least four. Although frequently observed, there is no theoretical reason that these growth parameters should always rise and fall in unison in response to changes in external conditions. Thus quantifying the effect of an environmental factor on microbial growth require that all the growth parameters are addressed, not just the "maximum specific growth rate." Different methods to determine the "lag time" often yield different values, demonstrating that it is a poorly defined growth parameter. The combined effect of several factors, such as temperature and pH or a w, need not be "multiplicative" and therefore ought to be revealed experimentally. This might not be always feasible, but keeping the notion in mind will eliminate theoretical assumptions that are hard to confirm. Modern mathematical software allows to model growing or dying microbial populations where cell division and mortality occur simultaneously and can be used to explain how different growth patterns emerge. But at least in the near future, practical problems, like translating a varying temperature into a corresponding microbial growth curve, will be solved with empirical rate models, which despite not being "mechanistic" are perfectly suitable for this purpose. © Taylor and Francis Group, LLC.

Timilsina G.R.,The World Bank | Chisari O.O.,Argentine Business University, Buenos Aires | Romero C.A.,Argentine Business University, Buenos Aires
Energy Policy | Year: 2013

Argentina is one of the world's largest biodiesel producers and the largest exporter, using soybeans as feedstock. Using a computable general equilibrium model that explicitly represents the biofuel industry, this study carries out several simulations on two sets of issues: (i) international markets for biofuel and feedstock, such as an increase in prices of soybean, soybean oil, and biodiesel, and (ii) domestic policies related to biofuels, such as an introduction of biofuel mandates. Both sets of issues can have important consequences to the Argentinean economy. The simulations indicate that increases in international prices of biofuels and feedstocks would increase Argentina's gross domestic product and social welfare. Increases in international prices of ethanol and corn also can benefit Argentina, but to a lesser extent. The domestic mandates for biofuels, however, would cause small losses in economic output and social welfare because they divert part of biodiesel and feedstock from exports to lower-return domestic consumption. An increase in the export tax on either feedstock or biodiesel also would lead to a reduction in gross domestic product and social welfare, although government revenue would rise. © 2012 Elsevier Ltd.

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