504 research outputs found
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GIS.lab: Hydrological Modeling on the Web
GIS.lab (http://web.gislab.io) connects open source technologies together: QGIS is used as desktop environment as well as the server for data serving. A web client is based on OpenLayers and AngularJS libraries. On the server side, thin Django application is developed as well. Beside a core functionality like responsive web design, support for topics, base and overlay layers, legend, identification, attribute table data filtering, measurement, and print, which are mainly based on QGIS server, serving the data via OGC WMS and WFS, the GIS.lab infrastructure can provided support for additional functionality implemented as so-called plugins.
This contribution is focused on the possibilities how to extend the GIS.lab Web infrastructure when dealing with OGC Web Processing Service (WPS). The process inputs and outputs definitions will be designed by the user (project administrator) in QGIS desktop environment, using GIS.Lab publishing plugin. A hydrological modeling, namely tool for reduction day precipitation to subday (GRASS module r.subdayprecip.design), will be used as demonstration of WPS integration into the GIS.lab Web infrastructure.
Co-authors: Petr Kavka, Ludek Strouhal, Ivan Mincik, Marcel Dancak, Jachym Cepick
Living expressions: An initial understanDing
Living Expressions is a term that was created to describe a unique, formalized process of interpersonal communication, in which individuals share often unexpressed feelings of appreciation with one another. This qualitative study explored a single case, single process event, based on interviews with the participants. A constructivist paradigm guides the research with intentional avoidance of a priori theory, and institutes an emergent design with the human as instrument. The purpose of the study was to foster a greater understanding of a new and unusual formal process that holds numerous potentially positive implications in its widespread application. The review of the literature offered an overview of the most closely related, primary communication process of positive self-disclosure, operationalized the focus of the study, and identified similar processes. The discussion of the data took the narrative form of an impressionistic ethnography describing the meaning the event held for its participants, through their eyes
DEVELOPING A VIRTUAL OPEN-AIR MUSEUM OF VERNACULAR ARCHITECTURE
Vernacular architecture is an integral part of the national cultural heritage. Today, however, many of these buildings exist only on old plans or photographs and the average citizen has no opportunity to get acquainted with this part of the national identity. Therefore, in our work, we present the development of two web applications with the aim of creating a virtual open-air museum for presenting vernacular architecture in the Czech Republic. The applications were created using open-source technologies, and are implemented with methods that allow easy transfer from one operating system to another. The presented content is a carefully selected sub-sample of more than 10,000 available records representing all regional types of vernacular architecture. The result is one application designed for editors to manage the presented content and one application allowing interactive viewing of the available geo-located records designed for the general public. Individual records can be searched either directly using the map window or by querying the attribute table. These records contain descriptive information about the object, as well as historical photographs and plans and, for some objects, additional information in the form of 3D models, PDF documents and other files. The applications are designed in such a way that their content can be freely expanded in the future and thus contribute to the popularization of vernacular architecture among the general public, which was the main reason for their creation
Motivace pro nasazenà Free Software GIS ve výuce geoinformatiky
CĂlem tohoto pĹ™ĂspÄ›vku je prezentovat vyuĹľitĂ svobodnĂ©ho softwaru pĹ™i vĂ˝uce na studijnĂm oboru GeodĂ©zie a kartografie ÄŚVUT v Praze a pĹ™edevšĂm motivaci pokraÄŤovat v tomto trendu pĹ™i vĂ˝uce geoinformatiky a to v souvislosti s novĂ˝m oborem na ÄŚVUT - Geoinformatikou. SouÄŤasnÄ› jsou v textu nastĂnÄ›ny základnĂ aspekty vĂ˝uky GIS s dĹŻrazem na volnÄ› šiĹ™itelnĂ© nástroje a geoprostorová data. Na závÄ›r jsou zmĂnÄ›ny praktickĂ© zkušenosti s nasazenĂm svobodnĂ©ho softwaru na cviÄŤenĂch k pĹ™edmÄ›tu ZpracovánĂ obrazovĂ˝ch dat
Effect of Device Warm-Up Time on Load-Voltage Relationship in S-Type Load Cells
Warm up time may have an effect on voltage readings taken from s-type load cells, making prior load- voltage calibration equations inaccurate. PURPOSE: To evaluate the effect of warm up time on load- voltage relationship in s-type load cells. METHODS: Dead weight calibrations were performed on two load cells using 200kg after 15 minutes, 1 hour, and 2 hours of warm up time. A linear model was created to estimate the influence of warm up time on the load-voltage relationship (i.e. voltage = β0 + β1•load + β2•power.source(plug) + β3•time + β4•load • time.) RESULTS: Time did not affect voltage in one testedload cell (i.e. no main (p=0.2396) or interaction effect for load x time (p=0.7492)). In the second load cell, there was a significant interaction effect of load x time (p=0.0079). At 200kg (i.e. the maximum tested load), each minute of additional warm up time would change measured voltage by about -0.00005 volts on average. CONCLUSION: Although time did affect voltage and the load-voltage relationship, the size of the effect may be practically irrelevant
Effect of Primary Power Source on the Load Voltage Relationship in Load Cells from an Instrumented Scrum Machine
To measure force generated by rugby union players during the scrum, we instrumented a scrum machine using S-type load cells for voltage force data collection. Data collection may take place in a variety of settings with varying access to primary power. The voltage outputs from electronic equipment may change when using battery versus AC power. Purpose: To compare the load-voltage relationship in S-type load cells between wall outlet AC power and a lithium ion battery pack and inverter. Methods: Dead weight calibrations of two load cells under two power supply conditions were performed up to 200kg. Voltage data was obtained using 1) outlet power from the lab, and 2) using a lithium ion battery pack and inverter (Yeti 1500x Goal Zero, South Bluffdale, UT). A linear model was created to estimate the influence of power source (battery vs wall plug) on the load-voltage relationship (i.e. voltage = β0 + β1•load + β2•load.cell(7) + β3•power.source(plug) + β4•time + β5•load • power.source(plug)). Results: The linear model indicated a main effect of the power source was present (p = 0.003) but not a load x power source interaction effect (p = 0.085). On average, voltage values from the load cell were about 0.001 volts greater than when using the battery. Conclusion: The lithium ion battery pack reliably produces voltage outputs greater than wall AC outlet power. Thus field data collection using the lithium ion battery pack is permitted, providing the volt difference is accounted for when analyzing data
Classification of different reaching movements from the same limb using EEG
Objective. Brain–computer-interfaces (BCIs) have been proposed not only as assistive technologies but also as rehabilitation tools for lost functions. However, due to the stochastic nature, poor spatial resolution and signal to noise ratio from electroencephalography (EEG), multidimensional decoding has been the main obstacle to implement non-invasive BCIs in real-live rehabilitation scenarios. This study explores the classification of several functional reaching movements from the same limb using EEG oscillations in order to create a more versatile BCI for rehabilitation. Approach. Nine healthy participants performed four 3D center-out reaching tasks in four different sessions while wearing a passive robotic exoskeleton at their right upper limb. Kinematics data were acquired from the robotic exoskeleton. Multiclass extensions of Filter Bank Common Spatial Patterns (FBCSP) and a linear discriminant analysis (LDA) classifier were used to classify the EEG activity into four forward reaching movements (from a starting position towards four target positions), a backward movement (from any of the targets to the starting position and rest). Recalibrating the classifier using data from previous or the same session was also investigated and compared. Main results. Average EEG decoding accuracy were significantly above chance with 67%, 62.75%, and 50.3% when decoding three, four and six tasks from the same limb, respectively. Furthermore, classification accuracy could be increased when using data from the beginning of each session as training data to recalibrate the classifier. Significance. Our results demonstrate that classification from several functional movements performed by the same limb is possible with acceptable accuracy using EEG oscillations, especially if data from the same session are used to recalibrate the classifier. Therefore, an ecologically valid decoding could be used to control assistive or rehabilitation mutli-degrees of freedom (DoF) robotic devices using EEG data. These results have important implications towards assistive and rehabilitative neuroprostheses control in paralyzed patients.This study was funded by the Baden-Württemberg Stiftung
(GRUENS), the Deutsche Forschungsgemeinschaft (DFG,
Koselleck and SP-1533/2-1), Bundes Ministerium fĂĽr Bildung
und Forschung BMBF MOTORBIC (FKZ 13GW0053), the
fortune-Program of the University of TĂĽbingen (2422-0-0),
and AMORSA (FKZ 16SV7754). A Sarasola-Sanz’s work is
supported by the La Caixa-DAAD scholarship, and N IrastorzaLanda’s
work by the Basque Government and IKERBASQUE,
Basque Foundation for Science
Design and effectiveness evaluation of mirror myoelectric interfaces: a novel method to restore movement in hemiplegic patients
The motor impairment occurring after a stroke is characterized by pathological muscle activation patterns or synergies. However, while robot-aided myoelectric interfaces have been proposed for stroke rehabilitation, they do not address this issue, which might result in inefficient interventions. Here, we present a novel paradigm that relies on the correction of the pathological muscle activity as a way to elicit rehabilitation, even in patients with complete paralysis. Previous studies demonstrated that there are no substantial inter-limb differences in the muscle synergy organization of healthy individuals. We propose building a subject-specific model of muscle activity from the healthy limb and mirroring it to use it as a learning tool for the patient to reproduce the same healthy myoelectric patterns on the paretic limb during functional task training. Here, we aim at understanding how this myoelectric model, which translates muscle activity into continuous movements of a 7-degree of freedom upper limb exoskeleton, could transfer between sessions, arms and tasks. The experiments with 8 healthy individuals and 2 chronic stroke patients proved the feasibility and effectiveness of such myoelectric interface. We anticipate the proposed method to become an efficient strategy for the correction of maladaptive muscle activity and the rehabilitation of stroke patients.This study was funded by the Baden-WĂĽrttemberg Stiftung (GRUENS ROB-1), the Deutsche
Forschungsgemeinschaft (DFG, Koselleck), the FortĂĽne-Program of the University of TĂĽbingen (2422-0-0), and
the Bundes Ministerium fĂĽr Bildung und Forschung BMBF MOTORBIC (FKZ 13GW0053), AMORSA (FKZ
16SV7754), Gipuzkoa Regional Government (INKRATEK), Ministry of Science of the Basque Country (Elkartek:
EXOTEK). A. Sarasola-Sanz’s work was supported by La Caixa-DAAD scholarship and N. Irastorza-Landa’s work
by the Basque Government and IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
Transgenic overexpression of glutathione S-transferase ÎĽ-type 1 reduces hypertension and oxidative stress in the stroke-prone spontaneously hypertensive rat
Background: Combined congenic breeding and
microarray gene expression profiling previously identified
glutathione S-transferase m-type 1 (Gstm1) as a positional
and functional candidate gene for blood pressure (BP)
regulation in the stroke-prone spontaneously hypertensive
(SHRSP) rat. Renal Gstm1 expression in SHRSP rats is
significantly reduced when compared with normotensive
Wistar Kyoto (WKY) rats. As Gstm1 plays an important
role in the secondary defence against oxidative stress,
significantly lower expression levels may be functionally
relevant in the development of hypertension. The aim of
this study was to investigate the role of Gstm1 in BP
regulation and oxidative stress by transgenic
overexpression of the Gstm1 gene.
Method: Two independent Gstm1 transgenic SHRSP lines
were generated by microinjecting SHRSP embryos with a
linear construct controlled by the EF-1a promoter encoding
WKY Gstm1 cDNA [SHRSP-Tg(Gstm1)1WKY and SHRSPTg(Gstm1)2WKY].
Results: Transgenic rats exhibit significantly reduced BP and
pulse pressure when compared with SHRSP [systolic: SHRSP
205.2 3.7 mmHg vs. SHRSP-Tg(Gstm1)1WKY
175.5 1.6 mmHg and SHRSP-Tg(Gstm1)2WKY
172 3.2 mmHg, P< 0.001; pulse pressure: SHRSP
58.4 0.73 mmHg vs. SHRSP-Tg(Gstm1)1WKY
52.7 0.19 mmHg and SHRSP-Tg(Gstm1)2WKY
40.75 0.53 mmHg, P< 0.001]. Total renal and aortic
Gstm1 expression in transgenic animals was significantly
increased compared with SHRSP [renal relative quantification
(RQ): SHRSP-Tg(Gstm1)1WKY 1.95 vs. SHRSP 1.0, P< 0.01;
aorta RQ: SHRSP-Tg(Gstm1)1WKY 2.8 vs. SHRSP 1.0,
P< 0.05]. Renal lipid peroxidation (malondialdehyde: protein)
and oxidized : reduced glutathione ratio levels were
significantly reduced in both transgenic lines when compared
with SHRSP [malondialdehyde: SHRSP 0.04 0.009mmol/l
vs. SHRSP-Tg(Gstm1)1WKY 0.024 0.002mmol/l and SHRSPTg(Gstm1)2WKY
0.021 0.002mmol/l; (oxidized : reduced
glutathione ratio): SHRSP 5.19 2.26mmol/l vs. SHRSPTg(Gstm1)1WKY
0.17 0.111mmol/l and SHRSPTg(Gstm1)2WKY
0.471 0.223mmol/l]. Transgenic SHRSP
rats containing the WKY Gstm1 gene demonstrate
significantly lower BP, reduced oxidative stress and improved
levels of renal Gstm1 expression.
Conclusion: These data support the hypothesis that
reduced renal Gstm1 plays a role in the development of
hypertension
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