998 research outputs found
Renormalized charge in a two-dimensional model of colloidal suspension from hypernetted chain approach
The renormalized charge of a simple two-dimensional model of colloidal
suspension was determined by solving the hypernetted chain approximation and
Ornstein-Zernike equations. At the infinite dilution limit, the asymptotic
behavior of the correlations functions is used to define the effective
interactions between the components of the system and these effective
interactions were compared to those derived from the Poisson-Boltzmann theory.
The results we obtained show that, in contrast to the mean-field theory, the
renormalized charge does not saturate, but exhibits a maximum value and then
decays monotonically as the bare charge increases. The results also suggest
that beyond the counterion layer near to the macroion surface, the ionic cloud
is not a diffuse layer which can be handled by means of the linearized theory,
as the two-state model claims, but a more complex structure is settled by the
correlations between microions
Evolución y análisis comparativo de la normativa interna de la Facultad de Ciencias Políticas y Administración Pública de la UANL, Periodo 2011-2015
Las Universidades Públicas, sus Facultades y dependencias, continuamente están adecuando la
normativa interna que las rige, para llevar a efecto un mejor desempeño en lo referente a sus funciones
sustantivas: La académica, la investigación y de extensión.En el caso específico del presente estudio el planteamiento, dictaminacion y aprobación de cada
uno de los reglamentos internos de la Facultad de Ciencias Políticas y Administración Pública, contienen
todo un proceso de participación de los diferentes actores institucionales (profesores, investigadores,
directivos y representantes estudiantiles) para lograr normar los constantes avances de la dependencia
en su actuación diaria. Institucionalmente conforme al Reglamento de la Facultad, el proceso legislativo
interno comprende las etapas siguientes: La iniciativa que generalmente es planteada por el Director, el
análisis, deliberación y dictaminación de la propuesta, por parte de la Comisión Legislativa de la Junta
Directiva de la Facultad,(la cual se encuentra integrada por Profesores y Representantes Estudiantiles
integrantes a su vez de la Junta Directiva de la Facultad) la consiguiente presentación del Dictamen ante
el pleno de la Junta Directiva, en alguna de sus sesiones Ordinarias o Extraordinarias, para la
consecuente promulgación y difusión de la nueva normativa interna. Para este análisis se consideraron también las reflexiones acerca del contexto actual la educación
superior en la entidad, el País y el mundo, así como la labor de las universidades de clase mundial dentro
de las áreas comunes de las Ciencias Políticas, las Relaciones Internacionales y la Administración Pública,
lo cual fue de gran utilidad para identificar los retos que tiene la Facultad, a fin de continuar cumpliendo
con niveles crecientes de calidad. En el presente estudio se realiza un seguimiento reflexivo al proceso normativo institucional interno, tomando en consideración las apremiantes necesidades producto de la creciente presencia de la Facultad en el campo formativo y profesionalizante en la entidad y el noreste del País, lo cual nos pueda servir como memoria de la trayectoria institucional en algunos de los aspectos esenciales de su
permanente avance, para a la vez visualizar acerca de los cambios que se irán presentando en el transcurso del devenir institucional
Glassy phases of the Gaussian Core Model
We present results from molecular dynamics simulations exploring the
supercooled dynamics of the Gaussian Core Model in the low- and
intermediate-density regimes. In particular, we discuss the transition from the
low-density hard-sphere-like glassy dynamics to the high-density one. The
dynamics at low densities is well described by the caging mechanism, giving
rise to intermittent dynamics. At high densities, the particles undergo a more
continuous motion in which the concept of cage loses its meaning. We elaborate
on the idea that these different supercooled dynamics are in fact the
precursors of two different glass states
Subcompetencias más influyentes para determinar el perfil docente del profesor de educación superior en ciencias políticas y administración pública en México
La calidad educativa va más allá de formar cada día mejores estudiantes. El trasfondo es el perfil de los profesores, sus competencias y habilidades para lograr transmitir el conocimiento y lograr el aprendizaje en los estudiantes. Es evidente que para tener una educación de calidad, es necesario innovar en los modelos educativos, tener en cuenta las habilidades metodológicas e investigativas e implementar el uso de modelos disciplinares que contribuyan al trabajo de los docentes, pero para llegar a la meta a través de dichas habilidades es necesario tener en cuenta que la enseñanza es una actividad complicada y que sin la precisa capacitación en base a un perfil docente especifico es imposible llegar a ella. Esto debido a que los estudiantes tienen carencias y deseos de conocimiento distintos en base a la disciplina en la que buscan profesionalizarse, que deben ser suplidas con ayuda de los profesores.
El propósito de la investigación es identificar cuáles son las principales subcompetencias más influyentes, consideradas entre las competencias: Habilidades Metodológicas e Investigativas y el Uso de Modelos de las Ciencias Políticas y de la Administración Pública con la finalidad de determinar el perfil docente del profesor de educación superior en Ciencias Políticas y Administración Pública
Validity of Stokes-Einstein Relation in Soft Colloids up to the Glass Transition
We investigate the dynamics of kinetically frozen block copolymer micelles of
different softness across a wide range of particle concentrations, from the
fluid to the onset of glassy behavior, through a combination of rheology,
dynamic light scattering and pulsed field gradient NMR spectroscopy. We
additionally perform Brownian dynamics simulations based on an ultrasoft
coarse-grained potential, which are found to be in quantitative agreement with
experiments, capturing even the very details of dynamic structure factors S(Q,
t) on approaching the glass transition. We provide evidence that for these
systems the Stokes-Einstein relation holds up to the glass transition; given
that it is violated for dense suspensions of hard colloids, our findings
suggest that its validity is an intriguing signature of ultrasoft interactions.Comment: 5 pages, 4 figures, Supplementary Information, Accepted to Physical
Review Letters (PRL) (2015
Discovering Business Process Simulation Models in the Presence of Multitasking
Business process simulation is a versatile technique for analyzing business processes from a quantitative perspective. A well-known limitation of process simulation is that the accuracy of the simulation results is limited by the faithfulness of the process model and simulation parameters given as input to the simulator. To tackle this limitation, several authors have proposed to discover simulation models from process execution logs so that the resulting simulation models more closely match reality. Existing techniques in this field assume that each resource in the process performs one task at a time. In reality, however, resources may engage in multitasking behavior. Traditional simulation approaches do not handle multitasking. Instead, they rely on a resource allocation approach wherein a task instance is only assigned to a resource when the resource is free. This inability to handle multitasking leads to an overestimation of execution times. This paper proposes an approach to discover multitasking in business process execution logs and to generate a simulation model that takes into account the discovered multitasking behavior. The key idea is to adjust the processing times of tasks in such a way that executing the multitasked tasks sequentially with the adjusted times is equivalent to executing them concurrently with the original processing times. The proposed approach is evaluated using a real-life dataset and synthetic datasets with different levels of multitasking. The results show that, in the presence of multitasking, the approach improves the accuracy of simulation models discovered from execution logs.European Research Council PIX 834141Junta de Andalucía P12--TIC--1867Ministerio de Ciencia, Innovación y Universidades OPHELIA RTI2018-101204-B-C2
Discovering Business Process Simulation Models in the Presence of Multitasking
Business process simulation is a versatile technique for analyzing business
processes from a quantitative perspective. A well-known limitation of process
simulation is that the accuracy of the simulation results is limited by the
faithfulness of the process model and simulation parameters given as input to
the simulator. To tackle this limitation, several authors have proposed to
discover simulation models from process execution logs so that the resulting
simulation models more closely match reality. Existing techniques in this field
assume that each resource in the process performs one task at a time. In
reality, however, resources may engage in multitasking behavior. Traditional
simulation approaches do not handle multitasking. Instead, they rely on a
resource allocation approach wherein a task instance is only assigned to a
resource when the resource is free. This inability to handle multitasking leads
to an overestimation of execution times. This paper proposes an approach to
discover multitasking in business process execution logs and to generate a
simulation model that takes into account the discovered multitasking behavior.
The key idea is to adjust the processing times of tasks in such a way that
executing the multitasked tasks sequentially with the adjusted times is
equivalent to executing them concurrently with the original processing times.
The proposed approach is evaluated using a real-life dataset and synthetic
datasets with different levels of multitasking. The results show that, in the
presence of multitasking, the approach improves the accuracy of simulation
models discovered from execution logs.Comment: Accepted at The 14th International Conference on Research Challenges
in Information Science (RCIS 2020). 17 pages, 4 figure
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