2,521 research outputs found
Acceder : Economic Empowerment in the Roma Community of Caceres, Spain
No full textiv, 31 p.The author provides a historical context of the Roma community in Spain followed by a close look of the Acceder program in which he worked during study abroad. The author reflects on the Acceder program and its positive impact on the Roma community of Caceres and the rest of Spain as an effective tool in breaking the cycle of poverty that exists with the Roma. He then transitions to a more theoretical modern framing of Roma identity and activism both by Roma and non-Roma academics and activists as transnational/EU and national-within the nation state and how this activism is responsible for instituting social change across the EU and in Spain in the form of social well-being programs launched of which Acceder is a part of. In conclusion, the author follows up on the personal experiences at the foundation by offering some recommendations for improved performance and policies
A simheuristic algorithm for the single-period stochastic inventory routing problem with stock-outs
No full textThis paper describes a "simheuristic" algorithm – one which combines simulation with heuristics – for solving a stochastic variant of the well-known Inventory-Routing Problem. The variant discussed here is integrated by a vehicle routing problem and several inventory problems characterized by stochastic demands. Initial stock levels and potential stock-outs are also considered, as well as a set of alternative refill policies for each retail center. The goal is to find the personalized refill policies and associated routing plan that minimize, at each single period, the expected total costs of the system, i.e., the sum of inventory and routing costs. After motivating it, a detailed description of the problem is provided. Then, a review of the related literature is performed and our simulation-optimization approach is introduced. The paper presents a set of numerical experiments comparing the proposed method against different refill strategies and discusses how total costs evolve as the level of system uncertainty and the inventory-holding costs per unit are varied
Super-Resolution Community Detection for Layer-Aggregated Multilayer Networks
No full textApplied network science often involves preprocessing network data before applying a network-analysis method, and there is typically a theoretical disconnect between these steps. For example, it is common to aggregate time-varying network data into windows prior to analysis, and the trade-offs of this preprocessing are not well understood. Focusing on the problem of detecting small communities in multilayer networks, we study the effects of layer aggregation by developing random-matrix theory for modularity matrices associated with layer-aggregated networks with N nodes and L layers, which are drawn from an ensemble of Erdős–Rényi networks with communities planted in subsets of layers. We study phase transitions in which eigenvectors localize onto communities (allowing their detection) and which occur for a given community provided its size surpasses a detectability limit K^{*}. When layers are aggregated via a summation, we obtain K^{*}∝O(sqrt[NL]/T), where T is the number of layers across which the community persists. Interestingly, if T is allowed to vary with L, then summation-based layer aggregation enhances small-community detection even if the community persists across a vanishing fraction of layers, provided that T/L decays more slowly than O(L^{-1/2}). Moreover, we find that thresholding the summation can, in some cases, cause K^{*} to decay exponentially, decreasing by orders of magnitude in a phenomenon we call super-resolution community detection. In other words, layer aggregation with thresholding is a nonlinear data filter enabling detection of communities that are otherwise too small to detect. Importantly, different thresholds generally enhance the detectability of communities having different properties, illustrating that community detection can be obscured if one analyzes network data using a single threshold
Finite-velocity diffusion in the presence of a force
No full textWe have studied a Cattaneo-Fick diffusion process in the presence of a deterministic force. Specifically, analytic results for the stationary probability distribution are solved for stable and unstable potentials. It is shown that the finite support as well as the shape of the stationary density are controlled by the telegrapher's parameters (relaxation time T and velocity of propagation θ). We have found the occurrence of a multimodality transition depending on the critical exponent of the potential and parameters T, θ. This research is motivated by the study of exact results for generic Smoluchoswki-like processes with finite-velocity diffusion.Fil: Caceres Garcia Faure, Manuel Osvaldo. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro | Universidad Nacional de Cuyo. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentin
Testing the accuracy of machine learning methods to predict deforestation
No full textForest plays a crucial role in meeting climate change goals, given its emissions reduction effects through carbon dioxide capture. The study of deforestation becomes significantly relevant since the early prediction of forest under threat could lead to specific policy responses promoting conservation measures. Common deforestation patterns are fish-bone, radial, geometric, and diffuse. This thesis aims to explore the predictive power of machine learning techniques to predict spatial patterns of human activities and compare their accuracy of prediction with a traditional statistical method. Using Monte Carlo simulations, land cover data was generated, mimicking human settlement patterns related to underlying deforestation processes. This work tests how different machine learning methodologies perform, after various experiments with diverse sources of data. The main result indicates that decision tree-based methodologies provide better prediction performance than other methods including elastic net regression. Implications of this work go beyond the conservation literature and could be used in other agricultural and applied economic areas where spatial patterns play a significant role.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-12-01The student, Ivan Flores Caceres, accepted the attached license on 2020-12-01 at 17:38.The student, Ivan Flores Caceres, submitted this Thesis for approval on 2020-12-01 at 17:50.This Thesis was approved for publication on 2020-12-07 at 13:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #16020 on 2021-03-04 at 16:33:10Made available in DSpace on 2021-03-05T21:45:43Z (GMT). No. of bitstreams: 2
FLORESCACERES-THESIS-2020.pdf: 2935196 bytes, checksum: 4101f730a1a1deb988b6c66aa42f3d9a (MD5)
LICENSE.txt: 4216 bytes, checksum: aed9a512a3c6ef5fa5c19203f629fdbc (MD5)
Previous issue date: 2020-12-07Embargo set by: Seth Robbins for item 117323
Lift date: 2023-03-05T21:45:47Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 117323
Lift date: 2023-03-05T21:47:41Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemAuthor requested closed access (OA after 2yrs) in Vireo ETD systemLimite
Digonocryptus caceres Aguiar et Ramos 2011
No full text<i>Digonocryptus caceres</i> Aguiar <i>et</i> Ramos, 2011 <p> <b>Morphological variation.</b> Fore wing lengths 8.95, 10.25, 13.05, and 13.10 mm. Two specimens with orbital band complete, not interrupted at malar space. Two smallest specimens with propodeum bearing a distinct yellowish spot centrally, inbetween posterior transverse carinae. Three largest specimens with posterior transverse carina faint but distinct and nearly complete. Metasoma progressively more dark reddish towards the base, or conversely more yellowish brown towards the apex.</p> <p> <b>Comments.</b> The new specimens expand considerably the known size range for the species, but otherwise fit quite well the characterization of the species provided by Aguiar and Ramos (2011), showing few morphological variation. The observed length of ovipositor to hind tibia length (1.32–1.37) remained within the known variation for the species (1.29–1.44).</p> <p> <b>Material examined.</b> 4 females. 1 Ƥ from BRAZIL, São Paulo, Jaboticabal, Cerrado, Pt. T 2, 200 m, 20–26.I.2004, SRViel; 1 Ƥ, same data except Pt. T2, 50 m; 2 Ƥ, same data except 20 m (UFES). <b>Distribution.</b> Brazil (MT, SP NR), Bolivia, Argentina (Fig 55).</p>Published as part of <i>Aguiar, Alexandre P. & Santos, Bernardo F., 2012, Additions to the revision of Digonocryptus Viereck (Hymenoptera, Ichneumonidae, Cryptinae), with nine new taxa, new males, and distribution maps for all known species, pp. 1-41 in Zootaxa 3282</i> on pages 5-6, DOI: <a href="http://zenodo.org/record/212568">10.5281/zenodo.212568</a>
Remanent quantum correlations in dissipative qubits
No full textStarting from the exact evolution of a Markovian dissipative quantum walk, a non-Markovian decoherence of two qubits interacting with a phonon thermal bath has been investigated analytically using quantum information tools. Concurrence and quantum discord are affected in a complex way, showing that entanglement decreases with dissipation. At the limit where dissipation dominates, quantum correlations survive in time as Thus, even under the influence of dissipation two qubits retain their quantumness for a long time. Quantum correlations could be therefore observed for a long time in related photonic experiments.Fil: Nizama Mendoza, Marco Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina; Comisión Nacional de Energía Atómica. Gerencia del Area de Energía Nuclear. Instituto Balseiro; Argentina;Fil: Caceres Garcia Faure, Manuel Osvaldo. Comisión Nacional de Energía Atómica. Gerencia del Area de Energía Nuclear. Instituto Balseiro; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Cincuenta años de obras de restauración en la Concatedral de Santa María de Cáceres
No full textEl autor muestra la evolución de las obras de restauración de la antigua Iglesia parroquial y arciprestal de la ciudad de Cáceres para adaptarla a su función de Iglesia Concatedral de Santa María de Cáceres.The author shows the evolution of the works of restoration of the ancient parochial and arciprestal Church of the city of Caceres to adapt it to your function of Santa María Concatedral of Caceres
Development and evaluation of a prototype for real-time monitoring of biological culture growth in industrial bioreactors
No full textIlustraciones, tablas, gráficasEn el ámbito de la biotecnología, el monitoreo continuo y preciso de la concentración celular es esencial para optimizar el crecimiento de biomasa en cultivos biológicos. Los biorreactores y fermentadores (dispositivos diseñados específicamente para el cultivo de diversas células, entre ellas bacterias y levaduras) dependen de la medición de parámetros como temperatura, presión, pH y oxígeno disuelto, en donde la estimación de la concentración celular es igualmente crítica para implementar sistemas de control de lazo cerrado que permita automatizar al máximo el proceso. Las técnicas ópticas, y en particular, la medida de la densidad óptica, se implementa comercialmente y permite caracterizar el crecimiento y evolución de células en suspensiones acuosas en el biorreactor, aprovechando los fenómenos fundamentales de interacción de la luz con la materia como la absorción y dispersión, sin alterar las propiedades biológicas del sistema. No obstante, para las Pymes en Colombia, los sensores de densidad óptica comerciales suelen tener un alto costo, lo que dificulta su adopción en industrias con recursos limitados, como las dedicadas a la producción de cervezas artesanales, inoculantes biológicos y biosimilares, entre otros. En este trabajo se presenta el desarrollo de un instrumento óptico de bajo costo que permite monitorear en tiempo real el crecimiento de biomasa en biorreactores y fermentadores, siendo compatible con los estándares industriales de conexión y comunicación en este tipo de sistemas. El dispositivo aprovecha el fenómeno de la dispersión de la luz generada por las células en suspensión para estimar la concentración celular. En particular, el elemento sensor que se introduce en el biorreactor se encapsula en un material polimérico compatible con los procesos de esterilización in situ, que sustituye el clásico acero inoxidable de los dispositivos comerciales, y se desarrolló un sistema de acondicionamiento de señales que permite controlar la emisión de luz para generar una intensidad lumínica constante en el tiempo, ante el ruido electromagnético y a las variaciones de temperatura, obteniendo una resolución en las medidas de 0.002 e inferior al 1% en la escala de medida en unidades arbitrarias. Esta solución no solo busca hacer más accesible la automatización de procesos productivos en la industria biotecnológica colombiana, sino también, mejorar la calidad del producto final y optimizar el tiempo de producción para incrementar el margen de beneficio. (Tomado de la fuente)In the field of biotechnology, continuous and accurate monitoring of cell concentration is essential to optimize biomass growth in biological cultures. Bioreactors and fermenters (devices specifically designed for cultivating various cells, including bacteria and yeasts) depend on the measurement of parameters such as temperature, pressure, pH, and dissolved oxygen, where the estimation of cell concentration is equally critical to implement closed-loop control systems that allow maximum automation of the process. Optical techniques, and in particular, the measurement of optical density, are commercially implemented to characterize cell growth and evolution in aqueous suspensions within the bioreactor, by taking advantage of fundamental light-matter interactions, such as absorption and scattering, without altering the biological properties of the system. However, for SMEs (Small and Medium-sized Enterprises) in Colombia, commercial optical density sensors tend to have a high cost, which hinders their adoption in industries with limited resources, such as those dedicated to the production of craft beers, biological inoculants and biosimilars, among others. This work presents the development of a low-cost optical instrument that allows real-time monitoring of biomass growth in bioreactors and fermenters, compatible with industrial standars of connection and communication in these types of systems. The device takes advantage of orking principles are based on light scattered by cells to estimate cell concentration. In particular, the sensor that is introduced into the bioreactor is encapsulated in a polymeric material compatible with sterilization processes in situ}, which replaces the classic stainless steel of commercial devices, and a signal conditioning system was developed to control light emission to generate constant light intensity over time, in the face of electromagnetic noise and temperature variations, obtaining a measurement resolution of 0.002, lower than 1% on the measurement scale in arbitrary units. This solution not only seeks to make the automation of production processes in the Colombian biotechnology industry more accessible, but also, to improve the quality of the final product and optimize production time in order to increase profit margin.MaestríaMagíster en Ingeniería FísicaFísica.Sede Medellí
Author Correction: Auto-aggressive CXCR6+ CD8 T cells cause liver immune pathology in NASH
No full textIn this Article, the surname of Tobias Boettler was incorrectly shown as ‘Böttler’, and the surname of author Jan-Philipp Mallm was incorrectly shown as ‘Malm’. The original Article has been corrected online
- …
