Virtuality Supports Reality for e-Health Applications

Strictly speaking the word “virtuality” or the expression “virtual reality” refers to an application for things simulated or created by the computer, which not really exist. More and more often such things are becoming equally referred with the adjective “virtual” or “digital” or mentioned with the prefixes “e-” or “cyber-”. So we know, for instance, of virtual or digital or e- or cyber- community, cash, business, greetings, books .. till even pets. The virtuality offers interesting advantages with respect to the “simple” reality, since it can reproduce, augment and even overcome the reality. The reproduction is not intended as it has been so far that a camera films a scenario from a fixed point of view and a player shows it, but today it is possible to reproduce the scene dynamically moving the point of view in practically any directions, and “real” becomes “realistic”. The virtuality can augment the reality in the sense that graphics are pulled out from a television screen (or computer/laptop/palm display) and integrated with the real world environments. In this way useful, and often in somehow essentials, information are added for the user. As an example new apps are now available even for iphone users who can obtain graphical information overlapped on camera played real scene surroundings, so directly reading the height of mountains, names of streets, lined up of satellites .., directly over the real mountains, the real streets, the real sky. But the virtuality can even overcome reality, since it can produce and make visible the hidden or inaccessible or old reality and even provide an alternative not real world. So we can virtually see deeply into the matter till atomic dimensions, realize a virtual tour in a past century or give visibility to hypothetical lands otherwise difficult or impossible to simple describe. These are the fundamental reasons for a naturally growing interest in “producing” virtuality. So here we will discuss about some of the different available methods to “produce” virtuality, in particular pointing out some steps necessary for “crossing” reality “towards” virtuality. But between these two parallel worlds, as the “real” and the “virtual” ones are, interactions can exist and this can lead to some further advantages. We will treat about the “production” and the “interaction” with the aim to focus the attention on how the virtuality can be applied in biomedical fields, since it has been demonstrated that virtual reality can furnish important and relevant benefits in e-health applications. As an example virtual tomography joins together 3D imaging anatomical features from several CT (Computerized axial Tomography) or MRI (Magnetic Resonance Imaging) images overlapped with a computer-generated kinesthetic interface so to obtain a useful tool in diagnosis and healing. With the new endovascular simulation possibilities, a head mounted display superimposes 3D images on the patient’s skin so to furnish a direction for implantable devices inside blood vessels. Among all, we chose to investigate the fields where we believe the virtual applications can furnish the meaningful advantages, i.e. in surgery simulation, in cognitive and neurological rehabilitation, in postural and motor training, in brain computer interface. We will furnish to the reader a necessary partial but at the same time fundamental view on what the virtual reality can do to improve possible medical treatment and so, at the end, resulting a better quality of our life

Measuring the snowpack depth with Unmanned Aerial System photogrammetry: comparison with manual probing and a 3D laser scanning over a sample plot

Photogrammetric surveys using Unmanned Aerial Systems (UAS) may represent an alternative to existing methods for measuring the distribution of snow, but additional efforts are still needed to establish this technique as a low-cost, yet precise tool. Importantly, existing works have mainly used sparse evaluation datasets that limit the insight into UAS performance at high spatial resolutions. Here, we compare a UAS-based photogrammetric map of snow depth with data acquired with a MultiStation and with manual probing over a sample plot. The relatively high density of manual data (135\u2009pt over 6700\u2009m2, i.e., 2\u2009pt/100\u2009m2) enables to assess the performance of UAS in capturing the marked spatial variability of snow. The use of a MultiStation, which exploits a scanning principle, also enables to compare UAS data on snow with a frequently used instrument in high-resolution applications. Results show that the Root Mean Square Error (RMSE) between UAS and MultiStation data on snow is equal to 0.036\u2009m when comparing the two point clouds. A large fraction of this difference may be, however, due to spurious differences between datasets due to simultaneous snowmelt, as the RMSE on bare soil is equal to 0.02\u2009m. When comparing UAS data with manual probing, the RMSE is equal to 0.31\u2009m, whereas the median difference is equal to 0.12\u2009m. The statistics significantly decrease up to RMSE\u2009=\u20090.17\u2009m when excluding areas of likely water accumulation in snow and ice layers. These results suggest that UAS represent a competitive choice among existing techniques for high-precision, high-resolution remote sensing of snow

Centimetric accuracy in snow depth using unmanned aerial system photogrammetry and a multistation

Performing two independent surveys in 2016 and 2017 over a flat sample plot (6700 m2), we compare snow-depth measurements from Unmanned-Aerial-System (UAS) photogrammetry and from a new high-resolution laser-scanning device (MultiStation) with manual probing, the standard technique used by operational services around the world. While previous comparisons already used laser scanners, we tested for the first time aMultiStation, which has a different measurement principle and is thus capable of millimetric accuracy. Both remote-sensing techniques measured point clouds with centimetric resolution, while we manually collected a relatively dense amount of manual data (135 pt in 2016 and 115 pt in 2017). UAS photogrammetry and the MultiStation showed repeatable, centimetric agreement in measuring the spatial distribution of seasonal, dense snowpack under optimal illumination and topographic conditions (maximum RMSE of 0.036 m between point clouds on snow). A large fraction of this difference could be due to simultaneous snowmelt, as the RMSE between UAS photogrammetry and the MultiStation on bare soil is equal to 0.02 m. The RMSE between UAS data and manual probing is in the order of 0.20-0.30 m, but decreases to 0.06-0.17 m when areas of potential outliers like vegetation or river beds are excluded. Compact and portable remote-sensing devices like UASs or aMultiStation can thus be successfully deployed during operational manual snow courses to capture spatial snapshots of snow-depth distribution with a repeatable, vertical centimetric accuracy

Linfomas no Hodgkin: Área metropolitana de Bucaramanga

RESUMENIntroducción: Ninguna neoplasia ha generado tanta confusión en sus sistemas de clasificación como los linfomas no Hodgkin (LNH). Una correcta tipificación es necesaria para el diagnóstico, pronóstico y tratamiento.Objetivo: clasificar los LNH del registro poblacional de cáncer del área metropolitana de Bucaramanga.Pacientes y métodos: Se realizó un estudio observacional de corte transversal, utilizando como población los pacientes con LNH del área metropolitana de Bucaramanga de enero de 2000 a diciembre de 2006. La información se obtuvo de las historias clínicas y de inmunohistoquímica en bloques de parafina. Se utilizo la clasificación de linfomas de la OMS.Resultados: Se estudiaron 320 pacientes y se encontró predominio de la enfermedad en la 6ª y 7ª década. La distribución por género fue mayor en hombres con 61,26% y mujeres 45,6%. El sitio anatómico de compromiso más frecuente fue ganglios cervicales con 25,6%. La mayoría expresaron antígenos B, 86,8%, y T, 1,8%. El subtipo más frecuente fue difuso de célula grande en el 29,6%.Conclusiones: La mayoría los LNH del área metropolitana de Bucaramanga son de linajes B, nodales y de célula grande difuso. Fue evidente el uso limitado de otras técnicas para la clasificación de estas neoplasias en nuestra región. Salud UIS 2011; 43(1): 39-47Palabras clave: Linfoma no Hodgkin, topografía medica, morfología, poblaciónABSTRACTIntroduction:There is not a neoplasm that has generated such confusion on its classification system such as the Non- Hodgkin’s lymphoma. An adequate classification is necessary for diagnosis, prognostic and treatment.Objetive: To classify the NHL from the Bucaramanga metropolitan area poblational cancer registry.Patients and methods: An observational cross-sectional study was made, using as population the patients with NHL from the Bucaramanga metropolitan area from January 2000 until December 2006. The information was obtained from the clinical records and inmunohistochemistry in paraffin blocks. The WHO lymphoma classification was used.Results: 320 patients were studied and a predominance of the disease was found on the 6th and 7th decade of life. Gender distribution was higher in men with 61.26% and women 45.6%. The anatomical site more frequently affected were the cervical lymph nodes with 25.6%. Most of them expressed B antigens, 86.8%, and T, 1.8%. The most frequent subtype was diffuse large B cell in 29.6%.Conclusions: Most of the NHL from the Bucaramanga metropolitan area are nodal, of B lineage, and diffuse large cell subtype. The limited use of other techniques for the classification of these neoplasms in our region was evident. Salud UIS 2011; 43(1): 39-47Keywords: Non-Hodgkin lymphoma, medical topography, morphology, populatio

European Territorial Trends - Facts and Prospects for Cities and Regions Ed. 2017

This report analyses a set of territorial trends at continental and sub-national scale, looking at patterns and determinants of regional growth, while considering pan-European and national characteristics. Past and prospective demographic and economic trends are analysed to provide a picture of ‘what, where, when and how’ things happen in European cities and regions. Specific emphasis is placed on urban areas since acknowledged sources of both opportunities and challenges. The indicators used in the analysis herein presented are freely and openly accessible in the Territorial Dashboard of the Knowledge Centre for Territorial Policies at: http://urban.jrc.ec.europa.eu/t-board/index.htmlJRC.B.3-Territorial Developmen

MRI-targeted or standard biopsy for prostate-cancer diagnosis

Background Multiparametric magnetic resonance imaging (MRI), with or without targeted biopsy, is an alternative to standard transrectal ultrasonography-guided biopsy for prostate-cancer detection in men with a raised prostate-specific antigen level who have not undergone biopsy. However, comparative evidence is limited. Methods In a multicenter, randomized, noninferiority trial, we assigned men with a clinical suspicion of prostate cancer who had not undergone biopsy previously to undergo MRI, with or without targeted biopsy, or standard transrectal ultrasonography-guided biopsy. Men in the MRI-targeted biopsy group underwent a targeted biopsy (without standard biopsy cores) if the MRI was suggestive of prostate cancer; men whose MRI results were not suggestive of prostate cancer were not offered biopsy. Standard biopsy was a 10-to-12-core, transrectal ultrasonography-guided biopsy. The primary outcome was the proportion of men who received a diagnosis of clinically significant cancer. Secondary outcomes included the proportion of men who received a diagnosis of clinically insignificant cancer. Results A total of 500 men underwent randomization. In the MRI-targeted biopsy group, 71 of 252 men (28%) had MRI results that were not suggestive of prostate cancer, so they did not undergo biopsy. Clinically significant cancer was detected in 95 men (38%) in the MRI-targeted biopsy group, as compared with 64 of 248 (26%) in the standard-biopsy group (adjusted difference, 12 percentage points; 95% confidence interval [CI], 4 to 20; P=0.005). MRI, with or without targeted biopsy, was noninferior to standard biopsy, and the 95% confidence interval indicated the superiority of this strategy over standard biopsy. Fewer men in the MRI-targeted biopsy group than in the standard-biopsy group received a diagnosis of clinically insignificant cancer (adjusted difference, -13 percentage points; 95% CI, -19 to -7; P<0.001). Conclusions The use of risk assessment with MRI before biopsy and MRI-targeted biopsy was superior to standard transrectal ultrasonography-guided biopsy in men at clinical risk for prostate cancer who had not undergone biopsy previously. (Funded by the National Institute for Health Research and the European Association of Urology Research Foundation; PRECISION ClinicalTrials.gov number, NCT02380027 .)

Measurement of the cosmic ray spectrum above 4×10184{\times}10^{18} eV using inclined events detected with the Pierre Auger Observatory

A measurement of the cosmic-ray spectrum for energies exceeding $4{\times}10^{18}$ eV is presented, which is based on the analysis of showers with zenith angles greater than $60^{\circ}$ detected with the Pierre Auger Observatory between 1 January 2004 and 31 December 2013. The measured spectrum confirms a flux suppression at the highest energies. Above $5.3{\times}10^{18}$ eV, the "ankle", the flux can be described by a power law $E^{-\gamma}$ with index $\gamma=2.70 \pm 0.02 \,\text{(stat)} \pm 0.1\,\text{(sys)}$ followed by a smooth suppression region. For the energy ($E_\text{s}$) at which the spectral flux has fallen to one-half of its extrapolated value in the absence of suppression, we find $E_\text{s}=(5.12\pm0.25\,\text{(stat)}^{+1.0}_{-1.2}\,\text{(sys)}){\times}10^{19}$ eV.Comment: Replaced with published version. Added journal reference and DO

Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80 MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy deposit per area is determined from the radio pulses at each observer position and is interpolated using a two-dimensional function that takes into account signal asymmetries due to interference between the geomagnetic and charge-excess emission components. The spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8 MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy -- corrected for geometrical effects -- is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. We find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.Comment: Replaced with published version. Added journal reference and DO

Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy

We measure the energy emitted by extensive air showers in the form of radio emission in the frequency range from 30 to 80 MHz. Exploiting the accurate energy scale of the Pierre Auger Observatory, we obtain a radiation energy of 15.8 \pm 0.7 (stat) \pm 6.7 (sys) MeV for cosmic rays with an energy of 1 EeV arriving perpendicularly to a geomagnetic field of 0.24 G, scaling quadratically with the cosmic-ray energy. A comparison with predictions from state-of-the-art first-principle calculations shows agreement with our measurement. The radiation energy provides direct access to the calorimetric energy in the electromagnetic cascade of extensive air showers. Comparison with our result thus allows the direct calibration of any cosmic-ray radio detector against the well-established energy scale of the Pierre Auger Observatory.Comment: Replaced with published version. Added journal reference and DOI. Supplemental material in the ancillary file