Correction of Errors During The Manufacture by Computer Numerical Control (CNC) of Blades for an Axial Hydrokinetic Turbine

The design and manufacture of new systems for providing electric power to non-interconnected areas is one of the challenges for engineering. There are several alternatives, including water or wind-power generation systems, where hydrokinetic turbines are highlighted. This work establishes the methodology, identification and correction of errors generated during the manufacture by machining, using CAD/CAPP/CAM techniques, for an axial hydrokinetic turbine. During the manufacturing process, the generation of an error on the edges of the blades was identified, which was attributed to problems in the design of the model since the degrees of freedom of the manufacturing system used were not considered. For the manufacture of complex surfaces in the design of models, the most extreme points of the surfaces in contact must match the tangent edges to ensure that the tools of machining can reach them with the trajectories generated from the CAM

Towards an integrated proteomic and glycomic approach to finding cancer biomarkers

Advances in mass spectrometry have had a great impact on the field of proteomics. A major challenge of proteomic analysis has been the elucidation of glycan modifications of proteins in complex proteomes. Glycosylation is the most structurally elaborate and diverse type of protein post-translational modification and, because of this, proteomics and glycomics have largely developed independently. However, given that such a large proportion of proteins contain glycan modifications, and that these may be important for their function or may produce biologically relevant protein variation, a convergence of the fields of glycomics and proteomics would be highly desirable. Here we review the current status of glycoproteomic efforts, focusing on the identification of glycoproteins as cancer biomarkers

Field-testing solutions for drinking water quality monitoring in low- and middle-income regions and case studies from Latin American, African and Asian countries

Funding Information: This study is part of SAFEWATER Devices Translation and Implementation project supported by the Global Challenges Research Fund ( GCRF ) Global Research Translation Awards, UK Research and Innovation ( SAFEWATER Translate, EPSRC Grant Reference EP/T015470/1 ).Peer reviewedPublisher PD

Scholarly publishing depends on peer reviewers

The peer-review crisis is posing a risk to the scholarly peer-reviewed journal system. Journals have to ask many potential peer reviewers to obtain a minimum acceptable number of peers accepting reviewing a manuscript. Several solutions have been suggested to overcome this shortage. From reimbursing for the job, to eliminating pre- publication reviews, one cannot predict which is more dangerous for the future of scholarly publishing. And, why not acknowledging their contribution to the final version of the article published? PubMed created two categories of contributors: authors [AU] and collaborators [IR]. Why not a third category for the peer-reviewer

Scholarly publishing depends on peer reviewers

The peer-review crisis is posing a risk to the scholarly peer-reviewed journal system. Journals have to ask many potential peer reviewers to obtain a minimum acceptable number of peers accepting reviewing a manuscript. Several solutions have been suggested to overcome this shortage. From reimbursing for the job, to eliminating pre-publication reviews, one cannot predict which is more dangerous for the future of scholarly publishing. And, why not acknowledging their contribution to the final version of the article published? PubMed created two categories of contributors: authors [AU] and collaborators [IR]. Why not a third category for the peer-reviewer?Scopu

Solving stochastic epidemiological models using computer algebra

Mathematical modeling in Epidemiology is an important tool to understand the ways under which the diseases are transmitted and controlled. The mathematical modeling can be implemented via deterministic or stochastic models. Deterministic models are based on short systems of non-linear ordinary differential equations and the stochastic models are based on very large systems of linear differential equations. Deterministic models admit complete, rigorous and automatic analysis of stability both local and global from which is possible to derive the algebraic expressions for the basic reproductive number and the corresponding epidemic thresholds using computer algebra software. Stochastic models are more difficult to treat and the analysis of their properties requires complicated considerations in statistical mathematics. In this work we propose to use computer algebra software with the aim to solve epidemic stochastic models such as the SIR model and the carrier-borne model. Specifically we use Maple to solve these stochastic models in the case of small groups and we obtain results that do not appear in standard textbooks or in the books updated on stochastic models in epidemiology. From our results we derive expressions which coincide with those obtained in the classical texts using advanced procedures in mathematical statistics. Our algorithms can be extended for other stochastic models in epidemiology and this shows the power of computer algebra software not only for analysis of deterministic models but also for the analysis of stochastic models. We also perform numerical simulations with our algebraic results and we made estimations for the basic parameters as the basic reproductive rate and the stochastic threshold theorem. We claim that our algorithms and results are important tools to control the diseases in a globalized world. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE)

Mathematical model for dengue with three states of infection

A mathematical model for dengue with three states of infection is proposed and analyzed. The model consists in a system of differential equations. The three states of infection are respectively asymptomatic, partially asymptomatic and fully asymptomatic. The model is analyzed using computer algebra software, specifically Maple, and the corresponding basic reproductive number and the epidemic threshold are computed. The resulting basic reproductive number is an algebraic synthesis of all epidemic parameters and it makes clear the possible control measures. The microscopic structure of the epidemic parameters is established using the quantum theory of the interactions between the atoms and radiation. In such approximation, the human individual is represented by an atom and the mosquitoes are represented by radiation. The force of infection from the mosquitoes to the humans is considered as the transition probability from the fundamental state of atom to excited states. The combination of computer algebra software and quantum theory provides a very complete formula for the basic reproductive number and the possible control measures tending to stop the propagation of the disease. It is claimed that such result may be important in military medicine and the proposed method can be applied to other vector-borne diseases. © 2012 SPIE

O contexto importa? Liderança responsável na América Latina. Uma revisão de literatura

Although it is a relatively new concept, the literature on responsible leadership has gained prominence. Some systematic reviews have been published but none have focused on analyzing the Latin American context or tried to establish the role that it can play in the emergence of this phenomenon. This article reviewed the research on responsible leadership in Latin America and established two specific roles: On the one hand, the context can act as a pushing force, promoting the moral development of a responsible leader; on the other hand, the context can act as a pulling force that demands the emergence of responsible leaders. This research lays the foundations for research on responsible leadership in Latin America and highlights the importance of the context in its appearance, particularly in developing economies.Aunque es un concepto relativamente nuevo, el liderazgo responsable ha ganado relevancia en la literatura. Si bien se han realizado revisiones sistemáticas sobre dicho concepto, ninguna se ha enfocado en analizar los trabajos desarrollados en el contexto latinoamericano ni ha tratado de establecer el rol particular que este puede jugar en la emergencia del fenómeno. Este artículo revisó las investigaciones realizadas sobre liderazgo responsable en Latinoamérica y logró identificar dos roles específicos: por un lado, el contexto puede actuar como una fuerza impulsora que promueve el desarrollo moral del líder responsable; por otro lado, puede actuar como una fuerza de tracción que demanda la emergencia de líderes responsables. Esta revisión contribuye sentando bases para adelantar investigaciones sobre liderazgo responsable en Latinoamérica y resaltar la importancia del contexto en la manifestación de dicho fenómeno, particularmente en economías en desarrollo.Embora seja um conceito relativamente novo, a liderança responsável tem ganhado relevância na literatura. Embora tenham sido realizadas revisões sistemáticas sobre esse conceito, nenhuma se concentrou em analisar o trabalho realizado no contexto latino-americano ou tentou estabelecer o papel particular que ele pode desempenhar na emergência do fenômeno. Este artigo revisou a as pesquisas realizadas sobre liderança responsável na América Latina e conseguiu identificar dois papéis específicos: por um lado, o contexto pode atuar como uma força motriz que promove o desenvolvimento moral do líder responsável; por outro lado, pode atuar como uma força motriz que exige o surgimento de líderes responsáveis. Esta revisão contribui a lançar as bases para avançar na pesquisa sobre liderança responsável na América Latina e destacar a importância do contexto na manifestação desse fenômeno, particularmente nas economias em desenvolvimento

Disease transmission dynamics according to complexity theory

Objective: Illustrating disease transmission as a complex system according to complexity theory. Methods: A SIR mathematical model (S=number susceptible, I=number infectious, and R=number recovered or immune) reflecting disease transmission from the connection between states of susceptibility, infection, disease, recovery and non-linearity in the interaction between susceptible and infected was simulated. Infection rate temporal fluctuations were described by logistic mapping. Results: Transmission occurs with the reduction of susceptible states as people become infected and sick, followed by an increase in individuals' recovery following diagnosis and treatment. Small increases in infection rate value led to fluctuations in the number of susceptible and exposed people and randomness in the relationship between being susceptible and infected, until converging towards a regular pattern. Conclusion: The model reflected the connection between states of susceptibility, nonlinearity and chaotic behavior following small increases in infection rate. A historical and trans-disciplinary perspective could help in understanding transmission complexity and coordinating control options