Saint Thomas University
  • Bogotá, Colombia
Recent publications
Bioengineering is a science that brings together the principles of biology and the tools that engineering can offer, so that different products can be created that are useful, economically viable and tangible. Thanks to the above, it can be recognized that this combination of topics favors the inclusion of environmental, agricultural and livestock aspects, since that is where the analysis of this research will be focused, which favors the recognition within this study of bioengineering as an independent variable. In Colombia, bioengineering does not have great significance or relevance because there are very few mechanisms that can help it to be applied in all activities in the national territory and therefore no significant emphasis has been placed on the aforementioned issues. For this reason, the research is directed to the Central Region of Colombia, which is known for being one of the sectors with the most abundance in biodiversity and has one of the largest territorial areas, basing its economy on agricultural issues. In accordance with these references and taking into account that bioengineering is a discipline that is oriented towards development and innovation, it is intended to have as a mediating effect its inclusion for the dependent variables already mentioned. The dependent variables oriented to development and innovation are fundamental to evaluate the current state of the Central Region of Colombia, made up of the departments of Bogotá D.C., Cundinamarca, Boyacá, Meta and Tolima. According to the above, current research is placed towards an analysis of the application of bioengineering in general terms, highlighting the importance of making a proposal that frames its scope and its inclusion in livestock, agricultural and environmental issues, favoring the advance of this region with adaptable and friendly technologies with the environment and the local population. Finally, it is essential to frame that the research was developed in a bibliographic way and with a theoretical analysis, according to the above it was possible to demonstrate the value and interest that bioengineering has today in daily activities, in development and innovation for the region central Colombia.
Background Eye injury is a serious worldwide public health problem that may cause blindness. In children, blindness has functional impact and psychosocial implications. As indicated in many worldwide studies, identification of risk factors associated with the socio-cultural context may prevent eye injuries. The objetive of the study is to describe the sociodemographic and epidemiological characteristics of pediatric eye injury and its effects on ocular structures in a public hospital from Colombia. Method A retrospective cross-sectional study was carried out between January 1, 2015, and December 31, 2017, in a tertiary public hospital of a medium-sized city located in the Northeast of Colombia. Children under 15 years old with trauma to the eyeball or its adnexa were included. The Birmingham Eye Trauma Terminology System (BETTS) was used. Eye burns and Ocular adnexa were also included. Results 61 cases of eye injuries were recorded, 67.21% (41 cases) of which were males. 57.37% (35 cases) corresponded to closed-globe injuries both contusion and lamellar laceration. Visual acuity fluctuated between 20/20 and 20/40. 14.75% (9 cases) were open-globe injuries while 50% (4 cases) were penetrating trauma. 27.86% of the injuries (17 cases) did not directly compromise the eyeball, 58.82% (10 of these cases) of which corresponded to eyelid wounds, and neither of those had visual acuity information. Conclusion The study showed that the majority of eye injuries in children under 15 years old, from a public hospital in the Northeast of Colombia, are closed globe, caused by blows, and occur in males.
Emerging pollutants (EP) are increasingly studied and characterized worldwide to improve the understanding of their environmental and toxicological impacts and their occurrence and behaviors in different environmental systems. Latin America has been subject to both environmental and toxicological impacts due to EP. To better understand these impacts, studies concerning pollutants have increased for the last ten years. The current study presents a critical review on the occurrence of different emerging pollutants in various components of the urban water cycle (UWC) in Latin America. The review is based on studies performed in 11 different countries between 1999 and 2018. The countries where the higher number of investigations were conducted are Brazil (53%) and Mexico (15%). The EP most often studied within the literature are pharmaceuticals, followed by personal care products. The most common EP reported were 17β-estradiol, bisphenol A and estrone; The UWC component with the greatest number of measurements in the reported studies were effluents from wastewater treatment plants.
Legal and Forensic Psychology has been an area of recent development in Latin America, although it had its origins in the first decades of the twentieth century. This chapter analyzes the law-psychology relationship, the training of forensic and legal psychologists at the undergraduate and graduate levels, the roles of the psychologist, the relationships with other professionals such as lawyers and psychiatrists, the organizations related to justice in Latin America, and the associations of legal and forensic psychologists and their role in the development of the profession. The author includes in her analysis a wide range of Latin American countries: Argentina, Bolivia, Brazil, Chile, Cuba, Costa Rica, Colombia, Dominican Republic, Ecuador, El Salvador, Guatemala, Mexico, Panama, Paraguay, and Uruguay.
We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = .05 to .005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p -value threshold of .05, .01, .005, or anything else, is not acceptable.
We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = .05 to .005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p -value threshold of .05, .01, .005, or anything else, is not acceptable.
We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = .05 to .005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p -value threshold of .05, .01, .005, or anything else, is not acceptable.
We argue that depending on p-values to reject null hypotheses, including a recent call for changing the canonical alpha level for statistical significance from .05 to .005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable criterion levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and determining sample sizes much more directly than significance testing does; but none of the statistical tools should replace significance testing as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, or implications for applications. To boil all this down to a binary decision based on a p-value threshold of .05, .01, .005, or anything else, is not acceptable.
This paper presents a novel deployment of a recent mathematical paradigm for predicting the thermo-acoustic instability (TAI) of a Rijke tube in the relevant parametric space. This benchmark problem in combustion science has been studied for over 1 1/2 centuries with phenomenal achievements both in theoretical and practical fronts. The new paradigm is called the Cluster Treatment of Characteristic Roots (CTCR), which is originally developed to assess the asymptotic stability of Linear Time Invariant (LTI) Time-delayed Systems (TDS). A notorious subcategory within LTI-TDS is called "Neutral TDS", which matches the characteristics of the linearized dynamics of thermo-acoustic instability. The CTCR is shown to reveal a non-conservative and exhaustive linear stability map of the Rijke tube within the space of its geometric and operational parameters. We present a review of this paradigm as well as several case studies to demonstrate its capabilities and some encouraging comparison with the earlier literature. This paper is a concept document and it is prepared with the intent of providing a breeding ground for studies beyond its present coverage.
The Purpose of this study was to describe social representations of risk and protective factors of psychoactive substances, in order to understand the precautions taken by parents in Bogota, Colombia. Were included 40 parents, 29 women, 11 men, from four educational, socio-economic strata 1 to 5 in Bogota. The following instruments were used: narrative interview, focus group, and field diary. It was noted that Social Representations (SR) versus risk factors (RF) and protection factors (PF), are mediated primarily by the Social Representations (SR) of drugs such as: drug - disease, drug - autonomous entity and marginalization; from these, it was observed that the level of risk or protection was modulated by perceived exposure, which is understood as high or no exposure, which determined the types of RF, PF and Precautions Taken to prevent use of drugs. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Motion sickness or kinetosis is the result of the abnormal neural output originated by visual, proprioceptive and vestibular mismatch, which reverses once the dysfunctional sensory information becomes coherent. The space adaptation syndrome or space sickness relates to motion sickness; it is considered to be due to yaw, pith, and roll coordinates mismatch. Several behavioural and pharmacological measures have been proposed to control these vestibular-associated movement disorders with no success. Galvanic vestibular stimulation has the potential of up-regulating disturbed sensory-motor mismatch originated by kinetosis and space sickness by modulating the GABA-related ion channels neural transmission in the inner ear. It improves the signal-to-noise ratio of the afferent proprioceptive volleys, which would ultimately modulate the motor output restoring the disordered gait, balance and human locomotion due to kinetosis, as well as the spatial disorientation generated by gravity transition.
In this paper an alternative model based on quaternions for the translational and attitude dynamics of a 6DoF vehicle is presented. Specifically, the properties of unit quaternions, well suited to embody rotations in three-dimensional spaces, are used for representing the most important modes related with attitude dynamics, while full quaternions, that allow the representation of rotations and magnifications at the same time, are used for the modeling of the translational dynamics. Simulation results are also included, as an application of the proposed approach to the control of a Low Earth Orbiter and a self-guided artillery projectile.
In this document we will show our own design about an meteorological station. This is a general approach, in that you can see how we will choose the different kind of transducers that we will use in the station. Some of these transducers will be made by us, by this reason this document shown our own designs of each one of these. You have to know that this meteorological station is a monitoring system, because it doesn 't needs to be controlled, it have to be just monitored.
This paper presents a new regression estimator for the total of a popu- lation created by means of the minimization of a measure of dispersion and the use of the Wilcoxon scores. The use of a particular nonparametric model is considered in order to obtain a model-assisted estimator by means of the generalized difference estimator. First, an estimator of the vector of the re- gression coefficients for the finite population is presented and then, using the generalized difference principles, an estimator for the total a population is proposed. The study of the accuracy and efficiency measures, such as design bias and mean square error of the estimators, is carried out through simula- tion experiments.
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4,657 members
Edwin Francisco Forero-García
  • Facultad de Ingeniería Electrónica
Luis Felipe González-Gutiérrez
  • Facultad de Psicología
Felipe Aliaga
  • Facultad de Sociología
Carlos Orlando Rico Bonilla
  • Facultad de Contaduría Pública
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Bogotá, Colombia
Website
http://www.usta.edu.co/