Valle, M. A., Ruz, G. A., & Rica, S. (2018). Transactional Database Analysis by Discovering Pairwise Interactions Strengths. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (Vol. 2018).
|
Coudert, D., Luedtke, J., Moreno, E., & Priftis, K. (2018). Computing and maximizing the exact reliability of wireless backhaul networks. In Electronic Notes in Discrete Mathematics (Vol. 64, pp. 85–94).
|
Montealegre-Barba, P., Perez-Salazar, S., Rapaport, I., & Todinca, I. (2018). Two Rounds Are Enough for Reconstructing Any Graph (Class) in the Congested Clique Model. In Lecture Notes in Computer Sciences (Vol. 11085).
|
Henriquez, P. A., & Ruz, G. A. (2018). Twitter Sentiment Classification Based on Deep Random Vector Functional Link. In 2018 International Joint Conference on Neural Networks (IJCNN).
|
Ruz, G. A., Goles, E., & Sene, S. (2018). Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. In 2018 IEEE Congress on Evolutionary Computation (CEC) (pp. 1–8).
|
Goles, E., Maldonado, D., Montealegre-Barba, P., & Ollinger, N. (2018). Fast-Parallel Algorithms for Freezing Totalistic Asynchronous Cellular Automata. In Lecture Notes in Computer Sciences (Vol. 11115, pp. 406–415).
|
Carrasco, R. A., Pruhs, K., Stein, C., & Verschae, J. (2018). The Online Set Aggregation Problem. In Lecture Notes in Computer Sciences (Vol. 10807, pp. 245–259).
|
Caceres, E., Carrasco, M., & Rios, S. (2018). Evaluation of an eye-pointer interaction device for human-computer interaction. Heliyon, 4(3), e00574.
|
Canessa, E., Chaigneau, S., & Barra, C. (2018). Developing and calibrating an ABM of the property listing task. In Proceedings de la 32nd European Council for Modelling and Simulation, ECMS 2018 (Vol. 2018, pp. 13–19).
|
Beghelli, A., & Prieto, P. (2018). Creativity under pressure: Using distant semantic fields for fast activation of divergent thinking in engineering students. In Proceedings of the DESIGN 2018 15th International Design Conference (Vol. 5, pp. 2391–2402).
|
Leiva, A., Shumada, R., Beghelli, A., & Olivares, R. (2018). Algoritmo RMLSA para redes ópticas flexibles en operación dinámica. Ingeniare, 26(3).
|
Reyes, D., & Atkinson, J. (2018). Person Re-identification Using Masked Keypoints. In Lecture Notes in Computer Sciences (Vol. 10868, pp. 45–56).
|
Bustamante, M., Rienzo, A., Osorio, R., Lefranc, E., Duarte, M., Herrera, E., et al. (2018). Algorithm for Processing Mammography: Detection of Microcalcifications. IEEE Latin Am. Trans., 16(9), 2460–2466.
Abstract: A new algorithm based in Creme Filter, is proposed for breast cancer detection. The images obtained show micro calcifications with better contrast, allowing a better prognosis. The algorithm has only one parameter free, that permitting to observe texture when parameter is changed.
|
Mahajan, S. M., & Asenjo, F. A. (2018). General connected and reconnected fields in plasmas. Phys. Plasmas, 25(2), 7 pp.
Abstract: For plasma dynamics, more encompassing than the magnetohydrodynamical (MHD) approximation, the foundational concepts of “magnetic reconnection” may require deep revisions because, in the larger dynamics, magnetic field is no longer connected to the fluid lines; it is replaced by more general fields (one for each plasma specie) that are weighted combination of the electromagnetic and the thermal-vortical fields. We study the two-fluid plasma dynamics plasma expressed in two different sets of variables: the two-fluid (2F) description in terms of individual fluid velocities, and the one-fluid (1F) variables comprising the plasma bulk motion and plasma current. In the 2F description, a Connection Theorem is readily established; we show that, for each specie, there exists a Generalized (Magnetofluid/Electro-Vortic) field that is frozen-in the fluid and consequently remains, forever, connected to the flow. This field is an expression of the unification of the electromagnetic, and fluid forces (kinematic and thermal) for each specie. Since the magnetic field, by itself, is not connected in the first place, its reconnection is never forbidden and does not require any external agency (like resistivity). In fact, a magnetic field reconnection (local destruction) must be interpreted simply as a consequence of the preservation of the dynamical structure of the unified field. In the 1F plasma description, however, it is shown that there is no exact physically meaningful Connection Theorem; a general and exact field does not exist, which remains connected to the bulk plasma flow. It is also shown that the helicity conservation and the existence of a Connected field follow from the same dynamical structure; the dynamics must be expressible as an ideal Ohm's law with a physical velocity. This new perspective, emerging from the analysis of the post MHD physics, must force us to reexamine the meaning as well as our understanding of magnetic reconnection. Published by AIP Publishing.
|
Ibarra, C., O'Ryan, R., & Silva, B. (2018). Applying knowledge governance to understand the role of science in environmental regulation: The case of arsenic in Chile. Environ. Sci. Policy, 86, 115–124.
Abstract: The relationship between scientific knowledge and decision-making surrounding environmental issues is complex and represents a flourishing area of scholarship and practice. However, a sense of frustration persists regarding efforts to increase the use of science for decision-making. Regulations of copper smelter arsenic emissions developed in Chile during the 1990s represent a successful example of science informing policy making. The case involved production and use of local science in contrast to the common practice of copying international ambient standards. In this paper, we investigate arsenic regulation in Chile in the 1990s and focus on the role of the major science intervention during the process, project FONDEF 2-24. The case is examined through the lens of knowledge governance (van Kerkhoff and Pilbeam, 2017). This theoretically-oriented approach guides our critical reflection on the relationship between knowledge and policy making, taking into consideration the formal and informal rules that shape the intervention and the underlying social and cultural patterns. The success of the science intervention's influence on policy is better understood with such a perspective. We expand the knowledge governance approach by scrutinizing the relations of coherence between levels of analysis to assess their alignment. The approach could be helpful for studying other cases, particularly at times when a new field of policy is emerging.
|
Di Genova, A., Ruz, G. A., Sagot, M. F., & Maass, A. (2018). Fast-SG: an alignment-free algorithm for hybrid assembly. GigaScience, 7(5), 15 pp.
Abstract: Background: Long-read sequencing technologies are the ultimate solution for genome repeats, allowing near reference-level reconstructions of large genomes. However, long-read de novo assembly pipelines are computationally intense and require a considerable amount of coverage, thereby hindering their broad application to the assembly of large genomes. Alternatively, hybrid assembly methods that combine short-and long-read sequencing technologies can reduce the time and cost required to produce de novo assemblies of large genomes. Results: Here, we propose a new method, called Fast-SG, that uses a new ultrafast alignment-free algorithm specifically designed for constructing a scaffolding graph using light-weight data structures. Fast-SG can construct the graph from either short or long reads. This allows the reuse of efficient algorithms designed for short-read data and permits the definition of novel modular hybrid assembly pipelines. Using comprehensive standard datasets and benchmarks, we show how Fast-SG outperforms the state-of-the-art short-read aligners when building the scaffolding graph and can be used to extract linking information from either raw or error-corrected long reads. We also show how a hybrid assembly approach using Fast-SG with shallow long-read coverage (5X) and moderate computational resources can produce long-range and accurate reconstructions of the genomes of Arabidopsis thaliana (Ler-0) and human (NA12878). Conclusions: Fast-SG opens a door to achieve accurate hybrid long-range reconstructions of large genomes with low effort, high portability, and low cost.
|
Dumett, M. A., & Cominetti, R. (2018). On The Stability Of An Adaptive Learning Dynamics In Traffic Games. J. Dyn. Games, 5(4), 265–282.
Abstract: This paper investigates the dynamic stability of an adaptive learning procedure in a traffic game. Using the Routh-Hurwitz criterion we study the stability of the rest points of the corresponding mean field dynamics. In the special case with two routes and two players we provide a full description of the number and nature of these rest points as well as the global asymptotic behavior of the dynamics. Depending on the parameters of the model, we find that there are either one, two or three equilibria and we show that in all cases the mean field trajectories converge towards a rest point for almost all initial conditions.
|
Millan, C., Vivanco, J. F., Benjumeda-Wijnhoven, I. M., Bjelica, S., & Santibanez, J. F. (2018). Mesenchymal Stem Cells and Calcium Phosphate Bioceramics: Implications in Periodontal Bone Regeneration. Adv.Exp.Med.Biol., 1107, 91–112.
Abstract: In orthopedic medicine, a feasible reconstruction of bone structures remains one of the main challenges both for healthcare and for improvement of patients' quality of life. There is a growing interest in mesenchymal stem cells (MSCs) medical application, due to their multilineage differentiation potential, and tissue engineering integration to improve bone repair and regeneration. In this review we will describe the main characteristics of MSCs, such as osteogenesis, immunomodulation and antibacterial properties, key parameters to consider during bone repair strategies. Moreover, we describe the properties of calciumphosphate (CaP) bioceramics, which demonstrate to be useful tools in combination with MSCs, due to their biocompatibility, osseointegration and osteoconduction for bone repair and regeneration. Also, we overview the main characteristics of dental cavity MSCs, which are promising candidates, in combination with CaP bioceramics, for bone regeneration and tissue engineering. The understanding of MSCs biology and their interaction with CaP bioceramics and other biomaterials is critical for orthopedic surgical bone replacement, reconstruction and regeneration, which is an integrative and dynamic medical, scientific and bioengineering field of research and biotechnology.
|
Yushimito, W. F., Alves, P. N., Canessa, E., & de Mateo, F. (2018). Relating Efficiency With Service Compliance Indices In Public Transportation Using Slack-Based Measure Data Envelopment Analysis And Shadow Prices. Promet, 30(6), 661–670.
Abstract: In many countries, bus operators are private companies whose service has been leased by government agencies. These agencies develop service compliance indices or measures to keep track of factors such as passenger satisfaction, frequency, and regularity but do not necessarily include the objectives of the operators in the assessment. In this paper, we used slack-based measure data envelopment analysis (SBM) to investigate whether it is possible for a bus operator to be efficient (from a private perspective) and match required standards of frequency and regularity. In doing so, data collected from two major bus operators in Santiago, Chile has been used comprising 99 services. The results show that when private objectives, namely revenues, are included in the analysis, bus operators do not necessarily seek to improve the regularity of their service. Moreover, it was found that some bus services are on the efficient frontier while keeping low performance measure standards. Using the shadow prices of the models, it was also found that improving the performance measures will be hard for many bus services unless there is a significant change in factors that are not under control of the operators (i.e., number of stops, length of the route, etc.). This shows the difficulty of correctly aligning the private objectives of operators with agencies' objectives.
|
Palma, D., & Atkinson, J. (2018). Coherence-Based Automatic Essay Assessment. IEEE Intell. Syst., 33(5), 26–36.
Abstract: In this paper, a discourse-based method that merges semantic and syntactic models for automated essay assessment is proposed. The approach combines shallow linguistic features and discourse patterns in order to predict an essay's score by using decision trees regression techniques. Unlike current approaches, our method directly measures an essay coherence by using corpus-based semantics and text centering techniques so as to determine discourse patterns underlying high-quality essays when compared with human assessed essays. Experiments using standard datasets showed that the proposed discourse-based approach outperformed traditional shallow features-based methods.
|