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High torque and low speed hydrostatic transmissions have many advantages and have been used to drive roller mills in sugar factories for more than 30 years. Their new developments allow these advantages to be also used in cooling crystallisers with extremely low variable speeds and high torques. This paper presents the benefits of the application of hydrostatic transmissions to cooling crystallisers. The transmissions offer maximum torque in the speeds from zero to maximum, the possibility of maintaining the maximum torque with zero speed indefinitely, and the continuous measurement and control of the torque. Options for operating the agitators of crystallisers tested and used today are also analysed and compared. The new hydrostatic transmission facilities in horizontal crystallisers in Central Motzorongo Sugar Mill in Mexico and vertical crystallisers in Réunion are described and the preliminary results of the work of the crystallisers equipped with these transmissions are analysed. Modern designs of drives with hydrostatic transmissions, considering their dimensions, weight, possibility of working with high torque and extremely low speed, are an excellent option for driving the agitators of cooling crystallisers. [ABSTRACT FROM AUTHOR]

This paper introduces a deterministic fractional-order epidemic model (FOEM) for studying the transmission dynamics of the human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). The model highlights the substantial role of unaware and undetected HIV-infected individuals in spreading the disease. Control strategies, such as wielding condoms, level of preventive measures to avoid infection, and self-strictness of susceptibles in sexual contact, have been incorporated into the study. The basic reproduction number ℛ 0 α has been derived, which suggests the conditions for ensuring the persistence and elimination of the disease. Further, to validate the model, actual HIV data taken from Mexico and India separately have been used. The disease dynamics and its control in both countries are analyzed broadly. The values of biological parameters are estimated at which numerical solutions better match the actual data of HIV patients in the case of fractional-order (FO) instead of integer-order (IO). Moreover, in the light of ℛ 0 α , our findings forecast that the disease will abide in the population in Mexico, and at the same time, it will die out from India after a long time. [ABSTRACT FROM AUTHOR]

This paper aims to open reflections and encourage dialogue regarding the relevance of the inclusion of digital culture as an element of interest within the educational model of Intercultural Universities, specifically, in the curriculum of the Bachelor's Degree in Intercultural Communication. All this, based on the analysis of the concept of digital culture as a socio-cognitive resource within education in Mexico, the needs that flow from the technological paradigms and the skills needed to develop within the information and knowledge society. [ABSTRACT FROM AUTHOR]

• A contact-based extended SEIQR model is presented to model epidemic spreading in complex networks. • The model is validated with data from the spreading of COVID-19 in Germany, Mexico and the US. • Accurate predictions over long time periods, more then 150 days are achieved. • An ensemble Kalman Filter is proposed on validated for state estimation and data-assimilation to account for stochastic uncertainties. The main aim of the present paper is threefold. First, it aims at presenting an extended contact-based model for the description of the spread of contagious diseases in complex networks with consideration of asymptomatic evolutions. Second, it presents a parametrization method of the considered model, including validation with data from the actual spread of COVID-19 in Germany, Mexico and the United States of America. Third, it aims at showcasing the fruitful combination of contact-based network spreading models with a modern state estimation and filtering technique to (i) enable real-time monitoring schemes, and (ii) efficiently deal with dimensionality and stochastic uncertainties. The network model is based on an interpretation of the states of the nodes as (statistical) probability densities samples, where nodes can represent individuals, groups or communities, cities or countries, enabling a wide field of application of the presented approach. [ABSTRACT FROM AUTHOR]

An interview with author Stephen Briseño is presented. Topics include his addiction to office supplies as he finds something about the potential of a blank notebook waiting to be filled, his experience of trips to Mexico with parents during his childhood, and his expectation from Latinx students to see that their dreams are possible and their stories need to be told.