Kansas City, MO, United States
Kansas City, MO, United States

Avila University is a private university in Kansas City, Missouri, sponsored by the Sisters of St. Joseph of Carondelet. It offers bachelor's degrees in thirty-six majors and master's degrees: Master of Science in Counseling Psychology, Master of Science in Counseling Psychology/Art Therapy, Master of Business Administration, Master of Science in Organizational Development, and Master of Arts in Education. Its 13 buildings are situated on a campus of 50 acres in suburban South Kansas City, and include four residence halls, a fieldhouse and auxiliary pavilion for basketball and volleyball, sports complex for football, baseball, softball and soccer, library, theatre, chapel, and classroom facilities. Wikipedia.


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Rossatto D.Z.,Federal University of São Carlos | Werlang T.,Federal University of São Carlos | Duzzioni E.I.,Avila University | Villas-Boas C.J.,Federal University of São Carlos
Physical Review Letters | Year: 2011

We investigate the quantum-to-classical crossover of a dissipative cavity field by measuring the correlations between two noninteracting atoms coupled to the cavity mode. First, we note that there is a time window in which the mode shows a classical behavior, which depends on the cavity decay rate, the atom-field coupling strength, and the number of atoms. Then, considering the steady state of two atoms inside the cavity, we note that the entanglement between the atoms disappears while the mean number of photons of the cavity field (n̄) rises. However, the quantum discord reaches an asymptotic nonzero value even in the limit of n̄→∞, whether n̄ is increased coherently or incoherently. Therefore, the cavity mode always preserves some quantum characteristics in the macroscopic limit, which is revealed by the quantum discord. © 2011 American Physical Society.


Avila M.J.,Avila University | Rodriguez-Restrepo A.,Pontifical Xavierian University
Medwave | Year: 2014

Currently medical information flows at great speed, bombarding medical students. Students are unfamiliar with fundamental aspects of biomedical literature appraisal. We assert that research performed during medical school will help to reduce the gap between the information available and comprehension by the student. The goal of the present review is to expound the importance of performing research during the undergraduate medical years and the relevance of research in other fields of medicine. We performed a literature review searching MEDLINE with terms consistent with our objective. We discuss the conduct of research projects during medical school training. The analysis of the articles retrieved proves that research is feasible and that it is a critical process during the undergraduate period for medical students.Abstract available from the publisher.


Yera R.,Avila University | Castro J.,University of Granada | Martinez L.,University of Jaén
Applied Soft Computing Journal | Year: 2016

E-commerce customers demand quick and easy access to products in large search spaces according to their needs and preferences. To support and facilitate this process, recommender systems (RS) based on user preferences have recently played a key role. However the elicitation of customers preferences is not always precise either correct, because of external factors such as human errors, uncertainty and vagueness proper of human beings and so on. Such a problem in RS is known as natural noise and can bias customers recommendations. Despite different proposals have been presented to deal with natural noise in RS none of them is able to manage properly the inherent uncertainty and vagueness of customers preferences. Hence, this paper is devoted to a new fuzzy method for managing in a flexible and adaptable way such uncertainty of natural noise in order to improve recommendation accuracy. Eventually a case study is performed to show the improvements produced by this fuzzy method regarding previous proposals. © 2015 Elsevier B.V. All rights reserved.


Albertini M.K.,Avila University | de Mello R.F.,University of Sao Paulo
Advances in Data Analysis and Classification | Year: 2013

Severe constraints imposed by the nature of endless sequences of data collected from unstable phenomena have pushed the understanding and the development of automated analysis strategies, such as data clustering techniques. However, current clustering validation approaches are inadequate to data streams due to they do not properly evaluate representation of behavior changes. This paper proposes a novel function to continuously evaluate data stream clustering inspired in Lyapunov energy functions used by techniques such as the Hopfield artificial neural network and the Bidirectional Associative Memory (Bam). The proposed function considers three terms: i) the intra-cluster distance, which allows to evaluate cluster compactness; ii) the inter-cluster distance, which reflects cluster separability; and iii) entropy estimation of the clustering model, which permits the evaluation of the level of uncertainty in data streams. A first set of experiments illustrate the proposed function applied to scenarios of continuous evaluation of data stream clustering. Further experiments were conducted to compare this new function to well-established clustering indices and results confirm our proposal reflects the same information obtained with external clustering indices. © 2013 Springer-Verlag Berlin Heidelberg.


Araujo C.L.,Avila University | Melo E.I.,Avila University | Coelho N.M.M.,Avila University
Talanta | Year: 2011

The development, evaluation and application of a simple and low-cost graphite carbon electrode for the direct determination of citrate in food samples are described here. The electrode exhibits a linear response with a slope of -29.0 ± 1.0 mV decade-1 in a concentration range of 0.07-7.0 mmol L-1 in 0.1 mol L-1 KCl/1.0 mmol L -1 phosphate buffer solution with a limit of detection of 3.0 μmol L-1. The electrode is easily constructed at a relatively low cost and has a fast time response (within 120 s) with no significant changes in its performance characteristics. The performance of the graphite sensor was tested to determine citrate in beverage samples (juices and an isotonic drink), and the results were validated against a reference procedure. The proposed method is quick, inexpensive, selective and sensitive, and is based entirely on conventional instrumentation. © 2011 Elsevier B.V. All rights reserved.


De Almeida K.J.,Avila University | Ramalho T.C.,Federal University of Lavras | Neto J.L.,Federal University of Lavras | Santiago R.T.,Federal University of Lavras | And 2 more authors.
Organometallics | Year: 2013

The issue of reactivity differences of the ions Nb+ and Nb 2+ toward methane (CH4 + Nb+ → NbCH 2 + + H2 and CH4 + Nb2+ → NbCH2 2+ + H2) is addressed using CCSD(T)//MP2 and CCSD(T)//B3LYP calculations. A thorough description of the reaction mechanisms and analyses of the geometrical structures, chemical bonds, and molecular orbitals provide important insights into the chemistry of the niobium species. The overall results indicate highly labile kinetics and more favorable thermochemical conditions for Nb2+. The NBO, AIM, and FERMO analyses provide a better understanding of the reactivity differences in the niobium reactions. © 2013 American Chemical Society.


Santiesteban-Toca C.E.,Avila University | Aguilar-Ruiz J.S.,Pablo De Olavide University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

In this paper, we focus on protein contact map prediction, one of the most important intermediate steps of the protein folding problem. We describe a method where contact maps of proteins are predicted with decision trees, using as input codings the information obtained from all possible pairs of amino acids that were formed in the training data set. As a result, the algorithm creates a model that consists of 400 decision trees (one for each possible amino acids pair), which takes into account the amino acids frequency in the subsequence existent between the couple of amino acids analyzed. In order to evaluate the method generalization capabilities, we carry out an experiment using 173 non-homologous proteins of known structures, selected from the protein databank (PBD). Our results indicate that the method can assign protein contacts with an average accuracy of 0.34, superior to the 0.25 obtained by the FNETCSS method. This shows that our algorithm improves the accuracy with respect to the methods compared, especially with the increase of protein length. © 2011 Springer-Verlag.


Almeida I.L.S.,Avila University | Coelho N.M.M.,Avila University
Energy and Fuels | Year: 2012

A simple method for the direct determination of mercury in ethanol fuel samples diluted with water by cold vapor atomic absorption spectrometry (CV-AAS) is proposed. The chemical parameters (concentrations of NaBH 4 and HCl) used for the Hg vapor generation for its measurement by CV-AAS were optimized. The calibration curve showed a linear response over the studied range (1-25 μg L -1), with a correlation coefficient of 0.9999 and limits of detection and quantification of 0.05 and 0.17 μg L -1, respectively. The relative standard deviations were lower than 3.5%. The accuracy of the method was estimated by applying the recovery test, and recovery values obtained were 84 and 106%. A sample throughput of 45 h -1 was achieved. Simplicity and sensitivity are among the advantages offered by the proposed method. © 2012 American Chemical Society.


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: S-STEM:SCHLR SCI TECH ENG&MATH | Award Amount: 650.00K | Year: 2017

This project will provide scholarships and support services for up to sixteen low-income, academically talented students in science, technology, engineering and mathematics (STEM) at Avila University. The broader impact and principal goal of the project is to significantly increase the number of students participating in STEM degree programs and matriculating to STEM careers. By increasing the number of students in biology, biochemistry and molecular biology, computer science, and software engineering and by providing enhanced support services, this project will increase student success, retention, and rate of entry into the STEM workforce. This project will directly support national policy goals and address the growing need for educated workers in the Greater Kansas City Area and beyond.

The targeted degree programs will employ evidence-based, high-impact educational practices that include (1) course sequences that provide early engagement in research and early exposure to STEM careers, (2) transition-to-university programming, (3) internships, and (4) project-based capstone courses. The program will provide faculty, peer, and professional mentorships, supplemental instruction, and STEM seminars. Additional enhanced support services will incorporate strategies to increase retention and persistence. These will include a cohort model, redesigned courses and course sequences, career development workshops, and a novel early-alert retention support system. The program will improve data analytics by creating a STEM Student Success Dashboard, which will monitor and analyze on-track indicators by discipline, student subgroup, and dosage of support services. Findings of the project will contribute to a better understanding of the impact support services have on the retention, persistence to graduation, and career preparation for low-income STEM students. A rigorous qualitative analysis will provide data on how support services are experienced in real time and how effective they are in achieving the greater goal of increasing the STEM workforce. Results of the project will be disseminated internally to faculty and support staff and externally at regional and national conferences.


Marques T.L.,Avila University | Coelho N.M.M.,Avila University
Talanta | Year: 2013

An environmentally-friendly flow system was developed for the determination of fluoride in natural waters, based on its reaction with zirconium ions and 2-(parasulfophenylazo)-1,8-dihydroxy-3,6-naphthalene-disulfonate (SPADNS). The flow system was designed with solenoid valves in order to increase the versatility and improve the analytical performance, since each device handles the solution independently leading to a more efficient use of reagents. The minimization of reagent consumption and waste generation favors the development of a noteworthy system. Under optimized conditions, a linear response was observed within the range of 0.1-2.2 mg L-1, with the detection limit, coefficient of variation and sampling rate estimated as 0.02 mg L -1, 4.1% and 60 determinations per hour, respectively. In order to analyze samples containing high fluoride content a wider linear range (0.3-6.6 mg L-1) can be obtained by using a low sample flow rate and low sample volume. In comparison with other methods, the proposed system offers advantages such as wider analytical range (1.7-2.2 times), higher sample throughput (1.5-4.0 times) and lower quantification limit (by a factor of 5-68). Along with the consumption of reagents being 20-55 times lower, the generation of wastes is 1.2-3.0 times lower, which contributes to the development of a 'greener' system. This method is fast, amenable to automation, environmentally-friendly and of low-cost. In addition, it could be successfully applied to the determination of fluoride in water samples, the results obtained being in agreement with those of the ISE method. © 2012 Elsevier B.V. All rights reserved.

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