Pigmented purpuric dermatosis: a review of the literature

The pigmented purpuric dermatoses (PPDs) are a group of benign, chronic diseases. The variants described to date represent different clinical presentations of the same entity, all having similar histopathologic characteristics. We provide an overview of the most common PPDs and describe their clinical, dermatopathologic, and epiluminescence features. PPDs are both rare and benign, and this, together with an as yet poor understanding of the pathogenic mechanisms involved, means that no standardized treatments exist. We review the treatments described to date. However, because most of the descriptions are based on isolated cases or small series, there is insufficient evidence to support the use of any of these treatments as first-line therapy

Factor de riego para nectarino

Ministerio de Economía y Competitividad AGL2013-49047-C02-2

Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research

[EN] The recent success of biological engineering is due to a tremendous amount of research effort and the increasing number of market opportunities. Indeed, this has been partially possible due to the contribution of advanced mathematical tools and the application of engineering principles in genetic-circuit development. In this work, we use a rationally designed genetic circuit to show how models can support research and motivate students to apply mathematics in their future careers. A genetic four-state machine is analyzed using three frameworks: Deterministic and stochastic modeling through di erential and master equations, and a spatial approach via a cellular automaton. Each theoretical framework sheds light on the problem in a complementary way. It helps in understanding basic concepts of modeling and engineering, such as noise, robustness, and reaction¿di usion systems. The designed automaton could be part of a more complex system of modules conforming future bio-computers and it is a paradigmatic example of how models can assist teachers in multidisciplinary education.D.F. was supported by an internal grant from Palacky University Olomouc (no. IGA_PrF_2020_028) and J.A.C. by MEC, grant number MTM2016-75963-P.Fuente, D.; Garibo I Orts, Ó.; Conejero, JA.; Urchueguía Schölzel, JF. (2020). Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research. Mathematics. 8(8):1-20. https://doi.org/10.3390/math8081362S12088Khalil, A. S., & Collins, J. J. (2010). Synthetic biology: applications come of age. Nature Reviews Genetics, 11(5), 367-379. doi:10.1038/nrg2775Jullesson, D., David, F., Pfleger, B., & Nielsen, J. (2015). Impact of synthetic biology and metabolic engineering on industrial production of fine chemicals. Biotechnology Advances, 33(7), 1395-1402. doi:10.1016/j.biotechadv.2015.02.011Bereza-Malcolm, L. T., Mann, G., & Franks, A. E. (2014). Environmental Sensing of Heavy Metals Through Whole Cell Microbial Biosensors: A Synthetic Biology Approach. ACS Synthetic Biology, 4(5), 535-546. doi:10.1021/sb500286rKatz, L., Chen, Y. Y., Gonzalez, R., Peterson, T. C., Zhao, H., & Baltz, R. H. (2018). Synthetic biology advances and applications in the biotechnology industry: a perspective. Journal of Industrial Microbiology and Biotechnology, 45(7), 449-461. doi:10.1007/s10295-018-2056-yMatheson, S. (2017). Engineering a Biological Revolution. Cell, 168(3), 329-332. doi:10.1016/j.cell.2017.01.001Clarke, L., & Kitney, R. (2020). Developing synthetic biology for industrial biotechnology applications. Biochemical Society Transactions, 48(1), 113-122. doi:10.1042/bst20190349Huynh, L., & Tagkopoulos, I. (2014). Optimal Part and Module Selection for Synthetic Gene Circuit Design Automation. 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Secondary Education Students’ Beliefs about Mathematics and Their Repercussions on Motivation. Mathematics, 8(3), 368. doi:10.3390/math8030368Schlitt, T., & Brazma, A. (2007). Current approaches to gene regulatory network modelling. BMC Bioinformatics, 8(S6). doi:10.1186/1471-2105-8-s6-s9Karlebach, G., & Shamir, R. (2008). Modelling and analysis of gene regulatory networks. Nature Reviews Molecular Cell Biology, 9(10), 770-780. doi:10.1038/nrm2503Casini, A., Storch, M., Baldwin, G. S., & Ellis, T. (2015). Bricks and blueprints: methods and standards for DNA assembly. Nature Reviews Molecular Cell Biology, 16(9), 568-576. doi:10.1038/nrm4014Appleton, E., Madsen, C., Roehner, N., & Densmore, D. (2017). Design Automation in Synthetic Biology. Cold Spring Harbor Perspectives in Biology, 9(4), a023978. doi:10.1101/cshperspect.a023978Selberg, J., Gomez, M., & Rolandi, M. (2018). The Potential for Convergence between Synthetic Biology and Bioelectronics. Cell Systems, 7(3), 231-244. doi:10.1016/j.cels.2018.08.007Britton, N. F., Bulai, I. M., Saussure, S., Holst, N., & Venturino, E. (2019). Can aphids be controlled by fungus? A mathematical model. Applied Mathematics and Nonlinear Sciences, 4(1), 79-92. doi:10.2478/amns.2019.1.00009Rojas, C., & Belmonte-Beitia, J. (2018). Optimal control problems for differential equations applied to tumor growth: state of the art. Applied Mathematics and Nonlinear Sciences, 3(2), 375-402. doi:10.21042/amns.2018.2.00029Tsimring, L. S. (2014). Noise in biology. Reports on Progress in Physics, 77(2), 026601. doi:10.1088/0034-4885/77/2/026601Székely, T., & Burrage, K. (2014). Stochastic simulation in systems biology. Computational and Structural Biotechnology Journal, 12(20-21), 14-25. doi:10.1016/j.csbj.2014.10.003Bessonov, N., Bocharov, G., Meyerhans, A., Popov, V., & Volpert, V. (2020). Nonlocal Reaction–Diffusion Model of Viral Evolution: Emergence of Virus Strains. Mathematics, 8(1), 117. doi:10.3390/math8010117Mealy, G. H. (1955). A method for synthesizing sequential circuits. The Bell System Technical Journal, 34(5), 1045-1079. doi:10.1002/j.1538-7305.1955.tb03788.xMarchisio, M. A. (2014). Parts & Pools: A Framework for Modular Design of Synthetic Gene Circuits. Frontiers in Bioengineering and Biotechnology, 2. doi:10.3389/fbioe.2014.00042Stefan, M. I., & Le Novère, N. (2013). Cooperative Binding. PLoS Computational Biology, 9(6), e1003106. doi:10.1371/journal.pcbi.1003106Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002). Stochastic Gene Expression in a Single Cell. Science, 297(5584), 1183-1186. doi:10.1126/science.1070919Gillespie, D. T. (1977). Exact stochastic simulation of coupled chemical reactions. The Journal of Physical Chemistry, 81(25), 2340-2361. doi:10.1021/j100540a008Gillespie, D. T. (1976). A general method for numerically simulating the stochastic time evolution of coupled chemical reactions. 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Importancia de una herramienta tecnológica en la gestión de información en el deporte. Percepción del staff técnico de un equipo de voleibol de alto nivel

The objective of the present study was to determine the perception of the technical staff of a high level volleyball team about the viability, contextualization and utility of a technological tool, available in mobile devices, used to store and exchange information.The sample was formed by the technical staff of a female volleyball team that competes in a high level league, composed of a trainer and an assistant trainer with functions of physical trainer.The use of the technological tool by the team was carried out during a complete season (7 months).The technological tool consists of a web page and its application with direct access to information through mobile devices. Data collection was carried out from semi-structured interviews applied in the end of the season.Data analysis was performed through the Grounded Theory. Our results indicate that the technical staff considers this technological tool viable, contextualized and useful, allowing to organize structure and exchange information in a simple way. In addition, the results show that the possibility of access from mobile devices provides great advantages (permanent access to information and from anywhere) and some disadvantage such as the possible loss of human contact.El objetivo del presente estudio fue conocer la percepción del staff técnico de un equipo de voleibol de alto nivel de la viabilidad, contextualización y utilidad, de una herramienta tecnológica, con posibilidad de acceso desde dispositivos móviles, empleada para almacenar e intercambiar información. La muestra estuvo formada por el staff técnico de un equipo de voleibol femenino que compite en alto nivel, compuesto por un entrenador y un entrenador asistente con funciones de preparador físico. El uso de la herramienta tecnológica, por el equipo, se realizó durante una temporada (siete meses). La herramienta tecnológica consta de una página web y su aplicación con acceso directo a la información desde dispositivos móviles. Como técnica de recogida de datos, se empleó la entrevista semiestructurada al terminar la temporada. El análisis de los datos se realizó a través de la Grounded Theory. Nuestros resultados indican que el staff técnico considera dicha herramienta tecnológica como viable, contextualizada y útil, permitiendo organizar, estructurar e intercambiar información de forma sencilla. Además, los resultados destacan que la posibilidad de acceso mediante un dispositivo móvil tiene grandes ventajas (acceso desde cualquier lugar y en cualquier momento), y alguna desventaja como la posible pérdida de contacto humano

Nonlinear resonance reflection from and transmission through a dense glassy system built up of oriented linear Frenkel chains: two-level models

A theoretical study of the resonance optical response of assemblies of oriented short (as compared to an optical wavelength) linear Frenkel chains is carried out using a two-level model. We show that both transmittivity and reflectivity of the film may behave in a bistable fashion and analyze how the effects found depend on the film thickness and on the inhomogeneous width of the exciton optical transition.Comment: 26 pages, 9 figure

Positron emission tomography of the airway distribution of intranasal challenge solutions

Abstract of: Scientific Sessions: 2007 AAAAI Annual Meeting, February 23-27, San Diego, CAIntranasal administration is one of the main routes of allergen challenge in mouse models of airway disease. Although it is widely used, it is not well established the amount of allergen that reaches the lung or is lost to the gastrointestinal tract. The local distribution of the challenge solution within the airways is also unknown. The aim of this study was to assess the distribution immediately after intranasal delivery using a Positron Emission Tomography scanner (PET)FIS 01/0598 and Foundation SEAICPublicad

The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence

The 2030 Agenda of the United Nations (UN) revolves around the Sustainable Development Goals (SDGs). A critical step towards that objective is identifying whether scientific production aligns with the SDGs' achievement. To assess this, funders and research managers need to manually estimate the impact of their funding agenda on the SDGs, focusing on accuracy, scalability, and objectiveness. With this objective in mind, in this work, we develop ASDG, an easy-to-use Artificial-Intelligence-based model for automatically identifying the potential impact of scientific papers on the UN SDGs. As a demonstrator of ASDG, we analyze the alignment of recent aerospace publications with the SDGs. The Aerospace data set analyzed in this paper consists of approximately 820,000 papers published in English from 2011 to 2020 and indexed in the Scopus database. The most-contributed SDGs are 7 (on clean energy), 9 (on industry), 11 (on sustainable cities), and 13 (on climate action). The establishment of the SDGs by the UN in the middle of the 2010 decade did not significantly affect the data. However, we find clear discrepancies among countries, likely indicative of different priorities. Also, different trends can be seen in the most and least cited papers, with apparent differences in some SDGs. Finally, the number of abstracts the code cannot identify decreases with time, possibly showing the scientific community's awareness of SDG.RV and FFN acknowledge the support of the KTH Climate Action Centre and Digital Futures. SHC is partially funded by project PID2021-128676OB-I00 by Ministerio de Ciencia, innovación y Universidades / FEDER

The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence

The 2030 Agenda of the United Nations (UN) revolves around the Sustainable Development Goals (SDGs). A critical step towards that objective is identifying whether scientific production aligns with the SDGs' achievement. To assess this, funders and research managers need to manually estimate the impact of their funding agenda on the SDGs, focusing on accuracy, scalability, and objectiveness. With this objective in mind, in this work, we develop ASDG, an easy-to-use artificial-intelligence (AI)-based model for automatically identifying the potential impact of scientific papers on the UN SDGs. As a demonstrator of ASDG, we analyze the alignment of recent aerospace publications with the SDGs. The Aerospace data set analyzed in this paper consists of approximately 820,000 papers published in English from 2011 to 2020 and indexed in the Scopus database. The most-contributed SDGs are 7 (on clean energy), 9 (on industry), 11 (on sustainable cities) and 13 (on climate action). The establishment of the SDGs by the UN in the middle of the 2010 decade did not significantly affect the data. However, we find clear discrepancies among countries, likely indicative of different priorities. Also, different trends can be seen in the most and least cited papers, with clear differences in some SDGs. Finally, the number of abstracts the code cannot identify is decreasing with time, possibly showing the scientific community's awareness of SDG