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Cuauhtemoc, Mexico

De La Salle University is a Roman Catholic, Lasallian research university in Taft Avenue, Malate, Manila, Philippines. It was founded in 1911 by De La Salle Brothers as the De La Salle College in Paco, Manila with Blimond Pierre serving as its first director. The college moved on September 1921 to its present location to facilitate increase in enrollment. DLSU, granted university status on February 1975, is the oldest constituent of De La Salle Philippines , a network of 17 Lasallian institutions established in 2006 to replace the De La Salle University System.,The university started as a boys' elementary and high school. It started offering in 1920 a two-year Associate in Arts in Commerce program, which was later discontinued in 1931 in favor of a Bachelor of Science in Commerce program. DLSU currently offers coeducational undergraduate and graduate degree programs through its seven colleges and one school specializing in varied disciplines, including business, engineering and liberal arts.The university, currently under the administration of President Ricky Laguda, is a member of several international university associations as well as local organizations .DLSU is identified by the Philippine Commission on Higher Education as a "Center of Excellence" in six of its programs, and a "Center of Development" in 3 of its programs. The university is also among the 40 institutions granted autonomous status by CHED as of 2010. Likewise, it is the first of the only two institutions granted the highest-level accreditation by the Philippine Accrediting Association of Schools, Colleges and Universities . The university ranks 151-160th and 601-650th in the 2013 Asian University Rankings and 2013 World University Rankings, respectively, published by Quacquarelli Symonds.Research is mainly funded by the De La Salle University Science Foundation. Since 2000, DLSU has been the CHED Zonal Research Center for 10 cities in southern Metro Manila. As such, it evaluates research proposals for recommendation for CHED funding, and monitoring of CHED-funded researches, among others. DLSU research has focused on affective computing and renewable energy. Application of its research has resulted to electrification of remote areas in the country through the use of micro hydro generators, and the creation of both of the only two solar cars of the Philippines, SINAG and SIKAT.DLSU has four official student publications, including the Ang Pahayagang Plaridel, The LaSallian and Green & White, the university yearbook publication. The De La Salle University Chorale has won several awards from different international choir competitions, including the Llangollen International Musical Eisteddfod and Tampere Vocal Music Festival. It is a member of the University Athletic Association of the Philippines since 1986, and has formed rivalries with other universities, including the Ateneo de Manila University and University of Santo Tomas.People affiliated with the De La Salle University include one National Artist of the Philippines, Archbishops of Manila and prominent politicians, educators, scientists, business tycoons, singers, actors, TV personalities and the field of communication and public service. Wikipedia.

Hijar H.,La Salle University at Cuauhtemoc
Journal of Chemical Physics | Year: 2013

We consider the problem of controlling the trajectory of a single colloidal particle in a fluid with steady non-homogeneous flow. We use a Langevin equation to describe the dynamics of this particle, where the friction term is assumed to be given by the Faxén's Theorem for the force on a sphere immersed in a stationary flow. We use this description to propose an explicit control force field to be applied on the particle such that it will follow asymptotically any given desired trajectory, starting from an arbitrary initial condition. We show that the dynamics of the controlled particle can be mapped into a set of stochastic harmonic oscillators and that the velocity gradient of the solvent induces an asymmetric coupling between them. We study the particular case of a Brownian particle controlled through a plane Couette flow and show explicitly that the velocity gradient of the solvent renders the dynamics non-stationary and non-reversible in time. We quantify this effect in terms of the correlation functions for the position of the controlled particle, which turn out to exhibit contributions depending exclusively on the non-equilibrium character of the state of the solvent. In order to test the validity of our model, we perform simulations of the controlled particle moving in a simple shear flow, using a hybrid method combining molecular dynamics and multi-particle collision dynamics. We confirm numerically that the proposed guiding force allows for controlling the trajectory of the micro-sized particle by obligating it to follow diverse specific trajectories in fluids with homogeneous shear rates of different strengths. In addition, we find that the non-equilibrium correlation functions in simulations exhibit the same qualitative behavior predicted by the model, thus revealing the presence of the asymmetric non-equilibrium coupling mechanism induced by the velocity gradient. © 2013 AIP Publishing LLC. Source

Salas-Rueda R.A.,La Salle University at Cuauhtemoc
International Journal of Educational Technology in Higher Education | Year: 2016

In Mexico, both universities and professors are changing the teaching-learning process in order to improve the conditions that prevail in the classroom. These modifications are making instructors include the usage, planning, organization, and construction of various technological applications in their activities. This research proposes the design and implementation of System Usable for Regression Analysis (SUAR), the purpose of which is to customize the audiovisual content taking into account the characteristics and abilities of the students. In particular, this system adjusts the information considering the level of knowledge of the estimation of prediction and visual or auditory learning styles by the adaptation, content, and evaluation modules. This study is based on the quantitative approach to analyze the academic performance of 14 students taking the System Design course during the school year 2015-I. The ANOVA method with the significance level of 0.05 and 0.025 assess the impact of SUAR during this course accomplished at a university in the south of Mexico City. Finally, this investigation proposes to build web systems that consider SUAR architecture and usability to enhance the educational context. © 2016, The Author(s). Source

Vazquez R.A.,La Salle University at Cuauhtemoc
2011 IEEE Congress of Evolutionary Computation, CEC 2011 | Year: 2011

Several meta-heuristic algorithms have been proposed in the last years for solving a wide range of optimization problems. Cuckoo Search Algorithm (CS) is a novel meta-heuristic based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Levy flight behavior of some birds and fruit flies. This algorithm has been applied in a wide range of optimization problems; nonetheless, their promising results suggest its application in the field of artificial neural networks, specially during the adjustment of the synaptic weights. On the other hand, spiking neurons are neural models that try to simulate the behavior of biological neurons when they are excited with an input current (input pattern) during a certain period time. Instead of generating a response in its output every iteration, as classical neurons do, this model generates a response (spikes or spike train) only when the model reaches a specific threshold. This response could be coded into a firing rate and perform a pattern classification task according to the firing rate generated with the input current. To perform a classification task the model ought to exhibit the next behavior: patterns from the same class must generate similar firing rates and patterns from other classes have to generate firing rates sufficiently dissimilar to differentiate among the classes. The model needs of a training phase aimed to adjust their synaptic weights and exhibit the desired behavior. In this paper, we describe how the CS algorithm can be useful to train a spiking neuron to be applied in a pattern classification task. The accuracy of the methodology is tested using several pattern recognition problems. © 2011 IEEE. Source

Vazquez R.A.,La Salle University at Cuauhtemoc
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

Different varieties of artificial neural networks have proved their power in several pattern recognition problems, particularly feed-forward neural networks. Nevertheless, these kinds of neural networks require of several neurons and layers in order to success when they are applied to solve non-linear problems. In this paper is shown how a spiking neuron can be applied to solve different linear and non-linear pattern recognition problems. A spiking neuron is stimulated during T ms with an input signal and fires when its membrane potential reaches a specific value generating an action potential (spike) or a train of spikes. Given a set of input patterns belonging to K classes, each input pattern is transformed into an input signal, then the spiking neuron is stimulated during T ms and finally the firing rate is computed. After adjusting the synaptic weights of the neuron model, we expect that input patterns belonging to the same class generate almost the same firing rate and input patterns belonging to different classes generate firing rates different enough to discriminate among the different classes. At last, a comparison between a feed-forward neural network and a spiking neuron is presented when they are applied to solve non-linear and real object recognition problems. © 2010 Springer-Verlag. Source

Cespedes C.L.,Andres Bello University | Salazar J.R.,La Salle University at Cuauhtemoc | Alarcon J.,Andres Bello University
Phytochemistry Reviews | Year: 2013

Calceolaria spp. is regarded both as a notorious weed and a popular ornamental garden plant and have medicinal application. Some taxa of the America distributed Calceolaria genus are toxic to insects and its effect has been associated with the presence of diterpenes, triterpenes and naphthoquinones. However, Calceolaria spp. also produces a number of flavonoids and phenylpropanoids that have been shown to possess interesting biological activities. All these aspects are considered in this review to allow an evaluation of the potential for utilization of the large biodiversity of Calceolaria available. The phytochemistry of many members of the Calceolaria genus is included. © Springer Science+Business Media 2013. Source

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