Filtración de sulfuros metálicos: influencia de las variables experimentales en la calidad de los efluentes de la planta de filtrado

El estudio en planta piloto de la recuperación de sulfuros metálicos por separación sólido-líquido, de suspensiones concentradas, es de interés para el diseño de procesos de bajo impacto ambiental en la industria minera. En ese sentido, en este trabajo, se ensayaron diferentes paños textiles con permeabilidades de 0,2; 2,6; 5 y 14 m3/m2min en procesos de filtración realizados a presiones de bombeo de 3 y 5 bar. El análisis de los resultados obtenidos en los ensayos realizados, muestran la posibilidad de mejorar la calidad del efluente de una planta de filtración de concentrados y paralelamente optimizar la capacidad de filtración. Mediante la selección de un textil con características adecuadas, se puede disminuir la cantidad y calidad de sólidos en el filtrado y de esta manera facilitar los procesos en la planta de tratamiento de efluentes. Los ensayos realizados mostraron además que, la presión utilizada en el bombeo para el llenado de la cámara de filtración, influye tanto en la capacidad de filtración como en la conformación estructural de los sólidos en la torta. Esto permitiría regular los efectos de las posteriores etapas de expresión por presión y secado adicional por arrastre con aire que afectaría la humedad final de la torta.Fil: ARNAUDO, Facundo E. y CELEDA, ANA MARÍA, INTEMIN-SEGEMAR . ArgentinaFil: de Celis, Jorge P. Facultad de Ingeniería. UBA, (Laboratorio de Química de Sistemas Heterogénos (LaQuíSiHe). Dto. de Química). Argentina. Facultad Regional Avellaneda. UTN, Laboratorio de Investigación y Desarrollo en Ingeniería Química, (LIDIQ). Dto. Ingeniería Química). ArgentinaPeer Reviewe

Toward a multiscale modeling framework for understanding serotonergic function

Despite its importance in regulating emotion and mental wellbeing, the complex structure and function of the serotonergic system present formidable challenges toward understanding its mechanisms. In this paper, we review studies investigating the interactions between serotonergic and related brain systems and their behavior at multiple scales, with a focus on biologically-based computational modeling. We first discuss serotonergic intracellular signaling and neuronal excitability, followed by neuronal circuit and systems levels. At each level of organization, we will discuss the experimental work accompanied by related computational modeling work. We then suggest that a multiscale modeling approach that integrates the various levels of neurobiological organization could potentially transform the way we understand the complex functions associated with serotonin

At the Biological Modeling and Simulation Frontier

We provide a rationale for and describe examples of synthetic modeling and simulation (M&S) of biological systems. We explain how synthetic methods are distinct from familiar inductive methods. Synthetic M&S is a means to better understand the mechanisms that generate normal and disease-related phenomena observed in research, and how compounds of interest interact with them to alter phenomena. An objective is to build better, working hypotheses of plausible mechanisms. A synthetic model is an extant hypothesis: execution produces an observable mechanism and phenomena. Mobile objects representing compounds carry information enabling components to distinguish between them and react accordingly when different compounds are studied simultaneously. We argue that the familiar inductive approaches contribute to the general inefficiencies being experienced by pharmaceutical R&D, and that use of synthetic approaches accelerates and improves R&D decision-making and thus the drug development process. A reason is that synthetic models encourage and facilitate abductive scientific reasoning, a primary means of knowledge creation and creative cognition. When synthetic models are executed, we observe different aspects of knowledge in action from different perspectives. These models can be tuned to reflect differences in experimental conditions and individuals, making translational research more concrete while moving us closer to personalized medicine

E-bike with photovoltaic panels for battery charging

Abstract The experience in many cities shows that bicycles are one of the best vehicles of transportation in cities. They are ecological, require a small space, are not noisy, and contribute to the mental and physical health of the residents. The aim of the paper is to combine the idea of bicycle transport in cities, the potential of e-bikes, and innovative photovoltaic panels as a source of energy. In the created prototype, electric bicycle charging was tested using lightweight and flexible photovoltaic panels located on the bicycle frame. According to calculations and test results, this solution is sufficient for the normal operation of an e-bike under urban conditions. The results show that the e-bike with photovoltaic panels is a vehicle of transportation that uses only a renewable resource and is sufficient to move the normally required distances.</jats:p