Naive bayes classifier for automatic analysis of beluga whale songs

Peer Reviewe

Образование в условиях кризиса современной техногенной цивилизации

Postprint (author's final draft

Implementación del sistema de localizacion y obtencion del mapa de un robot movil

Este proyecto abarca todo el proceso de configuración de un robot comercial (Neato XV-Essential) para poder controlarlo de forma remota mediante conexión inalámbrica y la implementación de diversos entornos de control para su uso en docencia (Matlab y Simulink)

R&D Information Service and the Library: managing the bridge between UPCommons and DRAC

Postprint (author's final draft

Development of a graph dynamic sectorization tool using QGIS/PostgreSQL to plan and operate water distribution networks

[EN] This paper presents a definition of the different  types of sectorization used by water distribution companies, as well as a methodology for their identification and application in the dynamic zoning of water distribution networks. The graph model of large water supply networks is made up of thousands or hundreds of thousands of nodes and pipelines, as well as valves, tanks, pumps and pressure groups. Its generation from the data contained in a GIS does not report difficulty with the currently existing tools, the GISWATER module of QGIS is an example of this. Problems arise when these models have to be operated from a high number of conditions and scenarios. To facilitate the operability of the system, one of the strategies is to simplify its operation through topological analysis. One of the proposals is clustering where the nodes belonging to a cluster have more and better connections with the internal nodes than with the external ones. Our work analyzes water distribution networks from five different points of view, which it represents five sector classes according to the parameter analyzed. As result, one of them, the District Metering Area (DMA) delimited by headers (flowmeters) and stoppers (other flowmeters or closed valves), is extensively covered in the literature. The other four, less common in the literature, have a definition equivalent to that of the DMA but based on other class of headers and stoppers. Therefore, if we are looking to operate the network from the point of view of pressure, we can use the dynamic sectorization algorithm by configuring Tanks, Head pumps, flow pumps, PSV, PBV or PRV as headers. Moreover, to operate and analyze the network from the point of view where water comes from, we can use again the dynamic algorithm by configuring the inlets of the system as headers (Tanks and Reservoirs). On the other hand, if the goal is to be focused on water quality, the algorithm can be configured using clorinathors, reclorinathors, water treatment equipment or water sources as headers. Finally, special attention deserves the minimum sector which represents the minimum structural unit of the network, defined by the region covered by network where there are shutoff-valves on their borders. In order to operate water networks as optimized as possible, the status of shut-off valves is dynamic. The opening and closing of valves allows a continuous reconfiguration of the network and the classes or types of sectors defined. As result, to analyze the network graph using this approach enables the water operator to analyze the best status as possible as well as it is amazing scenario to analyze resilience of network using stochastics methods.Torret Requena, X.; Grau Torrent, S.; Pérez Magrané, R.; Amat Miralles, E. (2024). Development of a graph dynamic sectorization tool using QGIS/PostgreSQL to plan and operate water distribution networks. Editorial Universitat Politècnica de València. https://doi.org/10.4995/WDSA-CCWI2022.2022.1456

3D RMHD simulations of jet-wind interactions in high-mass X-ray binaries

Context. Relativistic jets are ubiquitous in the Universe. In microquasars, especially in high-mass X-ray binaries, the interaction of jets with the strong winds driven by the massive and hot companion star in the vicinity of the compact object is fundamental for understanding the jet dynamics, nonthermal emission, and long-term stability. However, the role of the jet magnetic field in this process is unclear. In particular, it is still debated whether the magnetic field favors jet collimation or triggers more instabilities that can jeopardize the jet evolution outside the binary. Aims. We study the dynamical role of weak and moderate to strong toroidal magnetic fields during the first several hundred seconds of jet propagation through the stellar wind, focusing on the magnetized flow dynamics and the mechanisms of energy conversion. Methods. We developed the code Lóstrego v1.0, a new 3D relativistic magnetohydrodynamics code to simulate astrophysical plasmas in Cartesian coordinates. Using this tool, we performed the first 3D relativistic magnetohydrodynamics numerical simulations of relativistic magnetized jets propagating through the clumpy stellar wind in a high-mass X-ray binary. To highlight the effect of the magnetic field in the jet dynamics, we compared the results of our analysis with those of previous hydrodynamical simulations. Results. The overall morphology and dynamics of weakly magnetized jet models is similar to previous hydrodynamical simulations, where the jet head generates a strong shock in the ambient medium and the initial overpressure with respect to the stellar wind drives one or more recollimation shocks. On the timescales of our simulations (i.e., t < 200 s), these jets are ballistic and seem to be more stable against internal instabilities than jets with the same power in the absence of fields. However, moderate to strong toroidal magnetic fields favor the development of current-driven instabilities and the disruption of the jet within the binary. A detailed analysis of the energy distribution in the relativistic outflow and the ambient medium reveals that magnetic and internal energies can both contribute to the effective acceleration of the jet. Moreover, we verified that the jet feedback into the ambient medium is highly dependent on the jet energy distribution at injection, where hotter, more diluted and/or more magnetized jets are more efficient. This was anticipated by feedback studies in the case of jets in active galaxies

On-line gas-diffusion separation and fluorimetric detection for the determination of acid dissociable cyanide

A flow injection system with gas diffusion separation and spectrofluorimetric detection is described for the determination of acid dissociable cyanide in waters. Cyanide diffuses through a microporous PTFE membrane from an acidic donor stream into a sodium hydroxide acceptor stream. The cyanide transferred reacts with o-phthalaldehyde and glycine to form a highly fluorescent isoindole derivative

Three measures of physical rehabilitation effectiveness in elderly patients : a prospective, longitudinal, comparative analysis

Rehabilitation success is measured by instruments that assess performance of activities of daily living. Guidelines on the use and choice of these instruments are lacking. The present study aimed to analyse prognostic indicators of physical rehabilitation effectiveness in elderly patients according to three rehabilitation impact indices. Prospective, longitudinal study in a post-acute care unit. The study included rehabilitation-eligible deconditioned elderly in-patients prospectively admitted to post-acute care (n = 685, aged 83.2 ± 8.3 years, mean length of stay 15 ± 9.2 days). Data Collection: Premorbid health status variables (PHSV): age, sex, comorbidity (Charlson index), medical history (heart failure, pulmonary disease, cerebrovascular disease, dementia), previous living situation and pre-admission functional status (premorbid Lawton and Barthel indices). Admission health status variables (AHSV): main diagnoses, referral source, physical (Barthel-adm) and cognitive function (Pfeiffer test), undernutrition and dysphagia. Outcome Measures: Absolute functional gain (AFG, admission-to-discharge Barthel change), relative functional gain (RFG, achieved percentage of potential gain) and rehabilitation efficiency index (REI, AFG over length of stay). Univariate analysis considered these parameters, along with PHSV and AHSV. Multivariate logistic regression analysis was performed for AFG ≥20, RFG ≥35 % and REI ≥ 0.50. Greater AFG was associated with 14 variables, 8 PHSV (57.1 %) and 6 AHSV (42.8 %); greater RFG with 9 variables, 3 PHSV (33.3 %) and 6 AHSV (66.6 %); and REI with 9 variables, 4 PHSV (44.4 %) and 5 AHSV (55.5 %). Mean AFG value was 34.5 ± 15.8 in patients who achieved complete recovery (RFG 100 %, n = 189, 27.5 %) and 35.3 ± 15.0 (p = 0.593) in the remaining patients (n = 311, 45.4 %). In multivariate analysis, only Barthel-adm was related to all three rehabilitation impact indices. Both premorbid and acute-process variables have a greater impact on AFG and REI, compared to RFG. Although AFG gives information about the degree of reduction in dependence, it does not provide clinical information about post-rehabilitation functional status (mean AFG values did not differ between patients with and without complete recovery). A future implication for evaluating rehabilitation effectiveness in elderly patients is to recommend RFG corrected by premorbid Barthel score, which is less affected by previous health conditions, as the optimum method to assess the degree to which maximum potential improvement was achieved

Towards Protein-Based Viral Mimetics for Cancer Therapies

High resistance and recurrence rates, along with elevated drug clearance, compel the use of maximum tolerated drug doses in cancer therapy, resulting in high-grade toxicities and limited clinical applicability. Promoting active drug accumulation in tumor tissues would minimize such issues and improve therapeutic outcomes. A new class of therapeutic drugs suitable for the task has emerged based on the concept of virus-mimetic nanocarriers, or 'artificial viruses.' Among the spectrum of materials under exploration in nanocarrier research, proteins offer unparalleled structural and functional versatility for designing viruslike molecular vehicles. By exhibiting 'smart' functions and biomimetic traits, protein-based nanocarriers will be a step ahead of the conventional drug-protein conjugates already in the clinics in ensuring efficient delivery of passenger antitumor drugs

Transcripció de la taula rodona que va tenir lloc en el marc del IV Seminari de metodologia en neotoponímia i normalització lingüística

Abstract not availabl