bluuebunny/crossref_metadata_2025 huggingface dataset:
REMOTE SENSING ANALYTICAL GEOSPATIAL OPERATIONS DIRECTLY IN THE WEB BROWSER
Authors: Masó J. , Zabala A. , Serral I. , Pons X.
Published: September 2018

Abstract. Current map viewers that run on modern web browsers are mainly requesting images generated on the fly in the server side and transferred in pictorial format that they can display (PNG or JPEG). In OGC WMS standard this is done for the whole map view while in WMTS is done per tiles. The user cannot fine tune personalized visualization or data analysis in the client side. Remote sensing data is structured in bands that are visualize individually (manually adjusting contrast), create RGB combinations or present spectral indices. When these operations are not available in map browsers professional are forced to download hundreds of gigabytes of remote sensing imagery to take a good look at the data before deciding if it fits for a purpose. A possible solution is to create a web service that is able to perform these operations on the server side (https://www.sentinel-hub.com). This paper proposes that the server should communicate the data values to the client in a format that the client can directly process using two new additions in HTML5: canvas edition and array buffers. In the client side, the user can interact with a JavaScript interface changing symbolizations and doing some analytical operations without having to request any data again to the server. As a bonus, the user is able to perform queries to the data in a more dynamic way, applying spatial filters, creating histograms, generating animations of a time series or performing complex calculations among bands of the different loaded datasets.
IMPLEMENTING SIFT AND BI-TRIANGULAR PLANE TRANSFORMATION FOR INTEGRATING DIGITAL TERRAIN MODELS
Authors: Massad I. , Doytsher Y. , Dalyot S.
Published: September 2018

Abstract. Since their inception in the middle of the twentieth century, Digital Terrain Models (DTMs) have played an important role in many fields and applications that are used by geospatial professionals, ranging from commercial companies to government agencies. Thus, both the scientific community and the industry have introduced many methods and technologies for DTM generation and data handling. These resulted in a high volume and variety of DTM databases, each having different coverage and data-characteristics, such as accuracy, resolution, level-of-detail – amongst others. These various factors can cause a dilemma for scientists, mappers, and engineers that now have to choose a DTM to work with, let alone if several of these representations exist for a specified area. Traditionally, researchers tackled this problem by using only one DTM (e.g., the most accurate or detailed one), and only rarely tried to implement data fusion approaches, combining several DTMs into one cohesive unit. Although to some extent this was successful in reducing errors and improving the overall integrated DTM accuracy, two prominent problems are still scarcely addressed. The first is that the horizontal datum distortions and discrepancies between the DTMs are mostly ignored, with only the height dimension taken into account, even though in most cases these are evident. The second is that most approaches operate on a global scale, and thus do not address the more localized variations and discrepancies that are presented in the different DTMs. Both problems affect the resulting integrated DTM quality, which retains these unresolved distortions and discrepancies, resulting in a representation that is to some extent inferior and ambiguous. In order to tackle this, we propose an image based fusion approach: using the SIFT algorithm for matching and registration of the different representations, alongside localized morphing. Implementing the proposed approach and algorithms on various DTMs, the results are promising, with the capacity correctly geospatially align the DTMs, thus reducing the mean height difference variance between the databases to close to zero, as well as reducing the standard deviation between them by more than 30 %.
VALIDATION OF THE GLOBAL HIGH-RESOLUTION GLOBELAND30 LAND COVER MAP IN EUROPE USING LAND COVER FIELD SURVEY DATABASE - LUCAS
Authors: Bratic G. , Molinari M. E. , Brovelli M. A.
Published: September 2018

Abstract. High-resolution land cover maps are one of the technological innovations driving improvements in many fields influenced by Geographic Information Systems (GIS) and Remote Sensing. In particular, the GlobeLand30 (GL30), global LC map with spatial resolution of 30 m, is thought to be one of the highest quality high-resolution products. However, these LC maps require validation to determine their suitability for a particular purpose. One of the best ways to provide useful validation reference data is to do a high-level accuracy field survey, but this is time consuming and expensive. Another option is to exploit already available datasets. This study assesses thematic accuracy of GL30 in Europe using LUCAS as a validation reference, because it is a free and open field survey database. The results were generally not good, and very bad for some classes. Analysis was then restricted to a small region (Lombardy, Italy) where LC data of higher resolution than those of GL30 were available. LUCAS was also found to be incoherent with this product. Further comparisons of LUCAS with other independent sources confirmed that the LC attributes of LUCAS are inconsistent with expectations. Although these findings may not be generalized to other regions, the results warn against the suitability of LUCAS as ground truth for LC validation. The paper discusses the process of thematic accuracy assessment of the GL30 and the applicability of LUCAS for high-resolution global LC validation.
DEVELOPMENT AND COMPARISON OF UNCERTAINTY MEASURES IN THE FRAMEWORK OF A DATA CLASSIFICATION
Authors: Schiewe J.
Published: September 2018

Abstract. In the analysis and visualization of spatial information, quite often a data classification is applied. The choice of different methods, together with the choice of a different number of classes, the consideration of open classes and the treatment of outliers, can produce very different results. Hence, it is desirable to quantify the uncertainties that inevitably arise in this process. So far, almost only non-spatial properties have been considered. In addition to an extension of this set of statistical measures, this article also aims to define those which are concerned with the preservation of spatial patterns (e.g., local extreme values) as well as with visual perception. An empirical study will investigate the behavior of all these measures, for example depending on the classification method used or the number of classes. Also, correlations between the uncertainty measures and between the measures and statistical properties of the input data are examined. Finally, is will be shown that the uncertainty measures can not only be used individually or combined for pure evaluation purposes, but also for a-posteriori improvement of classification methods.
BUILDING GENERALIZATION USING DEEP LEARNING
Authors: Sester M. , Feng Y. , Thiemann F.
Published: September 2018

Abstract. Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g. simplification, displacement, aggregation), there are still cases, which are not generalized adequately or in a satisfactory way. The main problem is the interplay between different operators. In those cases the benchmark is the human operator, who is able to design an aesthetic and correct representation of the physical reality.Deep Learning methods have shown tremendous success for interpretation problems for which algorithmic methods have deficits. A prominent example is the classification and interpretation of images, where deep learning approaches outperform the traditional computer vision methods. In both domains – computer vision and cartography – humans are able to produce a solution; a prerequisite for this is, that there is the possibility to generate many training examples for the different cases. Thus, the idea in this paper is to employ Deep Learning for cartographic generalizations tasks, especially for the task of building generalization. An advantage of this task is the fact that many training data sets are available from given map series. The approach is a first attempt using an existing network.In the paper, the details of the implementation will be reported, together with an in depth analysis of the results. An outlook on future work will be given.
STREAMS DO WORK: MEASURING THE WORK OF LOW-ORDER STREAMS ON THE LANDSCAPE USING POINT CLOUDS
Authors: Shavers E. , Stanislawski L.
Published: September 2018

Abstract. The mutable nature of low-order streams makes regular updating of surface water maps necessary for accurate representation. Low-order streams make up roughly half the streams in the conterminous United States by length, and small inaccuracies in stream head location can result in significant error in stream reach, order, and density. Reliable maps of stream features are vital for hydrologic modeling, ecosystem research, and boundary monitoring. High resolution digital elevation models derived from lidar data have shown promise in low order stream modeling yet forested high relief landscapes and low relief agricultural areas remain challenging. Here we present early results from research analyzing lidar point clouds to identify features and patterns that may be used in low-order stream identification and classification in challenging geographic conditions. This work has identified characteristics derived from point clouds that correlate with the presence of streams and stream heads and show promise for mapping small streams. In low topographic relief agricultural areas, cross sections collected at regular intervals along drainage channels extracted as 3D lines show a significant jump in value and variance of profile curvature standard deviation at stream heads. In high relief areas, observations show potential for stream mapping by identifying trends in riparian zone structure. Lidar return point density from riparian vegetation under 30 feet tall dips in the vicinity of intermittent stream heads. Also seen is an increase in point density above 60 feet downstream of stream heads. The trends found here likely reflect a change in vegetation structure relative to the presence of streams.
AUTOMATED ROAD BREACHING TO ENHANCE EXTRACTION OF NATURAL DRAINAGE NETWORKS FROM ELEVATION MODELS THROUGH DEEP LEARNING
Authors: Stanislawski L. , Brockmeyer T. , Shavers E.
Published: September 2018

Abstract. High-resolution (HR) digital elevation models (DEMs), such as those at resolutions of 1 and 3 meters, have increasingly become more widely available, along with lidar point cloud data. In a natural environment, a detailed surface water drainage network can be extracted from a HR DEM using flow-direction and flow-accumulation modeling. However, elevation details captured in HR DEMs, such as roads and overpasses, can form barriers that incorrectly alter flow accumulation models, and hinder the extraction of accurate surface water drainage networks. This study tests a deep learning approach to identify the intersections of roads and stream valleys, whereby valley channels can be burned through road embankments in a HR DEM for subsequent flow accumulation modeling, and proper natural drainage network extraction.
EXPLORING GEOSPATIAL VARIATION IN DIABETES-RELATED PRIMARY HEALTH CARE SERVICE UTILISATION AND POTENTIALLY PREVENTABLE HOSPITALISATIONS IN WESTERN AUSTRALIA
Authors: Veenendaal B. , Koh C. , Saleem A. , Varhol R. , Xiao J. , Mai B. , Liu Y.
Published: September 2018

Abstract. Greater investments and improvements in primary health care (PHC) can provide benefits in reducing the high costs of hospital admissions. Potentially preventable hospitalisations (PPH) are a health system performance indicator used to evaluate access to and effectiveness of community-based health services. The Western Australia Department of Health obtained detailed primary health care data, for the first time at the postcode level scale, and analysed its associations with PPH information for selected conditions. PHC data obtained from the Commonwealth Department of Health for the financial year 2013/14 was Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) records at postcode level. In this paper we explore the sensitivity of various benchmarks of spatial zonings for comparison of diabetes-related primary health care utilisation and potentially preventable hospitalisations and then examine the relationship between them among the various spatial zonings. From the geospatial visualisation and analysis undertaken, conclusions are drawn about the patterns and relationships between diabetes-related primary health care utilisation and potentially preventable hospitalisations. The scale of spatial zonings used for comparison is important as too large or too small areas may mask out the relative geospatial variation of diabetes-related PHC utilisation and PPH evident among postcode areas.
INTEGRATION OF MULTIPLE COLLECTED POLYGONS WITH A RASTER-BASED APPROACH
Authors: Walter V.
Published: September 2018

Abstract. In this paper, we present an approach for the integration of multiple collected (vector-)polygons that is computed in the raster domain. In a first step, all polygons are transferred to the raster domain with a vector/raster-conversion. The integration in the raster domain is a simple pixel-wise summation that is much simpler than comparable approaches in the vector domain. The results can be optimized with image processing operators. Finally, the integrated data are transferred back into the vector domain with a raster/vector-conversion. This approach can integrate not only 2 datasets but is also able to integrate n datasets without any modification. We will demonstrate this approach on data that was multiple collected in a student project and we will discuss how the integration results can be evaluated with quality measures.
THE COMPARISON OF DRAINAGE NETWORK EXTRACTION BETWEEN SQUARE AND HEXAGONAL GRID-BASED DEM
Authors: Wang L. , Ai T.
Published: September 2018

Abstract. The automatic extraction of valleys or ridges from DEM is a long term topic in the GIS and hydrology fields and a number of algorithms have been developed. The quality of drainage networks extraction depends on many impacts such as data source, DEM resolution and extraction algorithms. However, little consideration has been paid to the influence of different tessellation of grid-based DEM construction in terrain surface representation. Actually, hexagonal grid has been proved to be advantageous over square grid due to its consistent connectivity, isotropy of local neighbourhoods, higher symmetry, visual advantage, and so on. This study tries to explore the impact of different tessellation scheme for grid-based DEM on the accuracy of terrain representation reflected by the results of drainage networks extraction. The contour line data model is applied to grid-based DEM generation. Then, by analogy with traditional D8 algorithm, the D6 algorithm is introduced to extract drainage networks by calculating flow direction of each gird with the steepest slope neighbour criteria. From the comparison between D8 algorithm and D6 algorithm, we conclude that hexagonal grid-based DEM has a superior capability in maintaining the detailed shape and the characteristics of extracted drainage networks in coarser resolution.
A QUADTREE SPATIAL INDEX METHOD WITH INCLUSION RELATIONS FOR THE INCREMENTAL UPDATING OF VECTOR LANDCOVER DATABASE
Authors: Zhou X. G. , Wang H. S.
Published: September 2018

Abstract. In vector landcover database, there are a lot of complex polygons with many holes, even nesting holes. In the incremental updating (i.e., using the change-only information to update the land cover database), a new changed parcel usually has 2-dimensional intersections (e.g., overlap, cover, equal and inside, etc.) with several existing regions, automatic updating operations need to identify the affected objects for the new changes at first. If the existing parcels include complex polygons (i.e., the polygon with holes), it is still needed to determine if there are 2-dimensional intersections between the new changed polygon and each holes of the involved complex polygons. The relation between the complex polygon and its holes has not been presented in the current spatial data indexing methods, only the MBB (Minimum Bounding Box) of the exterior ring of the complex polygon has been stored, the non-involved holes can not be filtered at the first step of spatial access methods. As the refinement geometric operation is costly, therefore the updating process for the complex polygons is very complicated and low efficient using the current spatial data indexing methods. In order to solve this problem, an improved quadtree spatial index method is presented in this paper. In this method, the polygons is divided to two categories according to the relations with the quadrant axes, i.e., disjoint to the axes and intersect with the axes. The intersect polygons are still divided to 5 cases according to the intersection position among the polygons and the different level quadrant axes. The intersection polygons are stored in the different level root nodes in our index tree, and five buckets denoted as XpB, XnB, YpB, YnB, XYB are used to store the polygons intersecting the different level quadrant axes respectively. The polygons disjoint to all quadrant axes are stored in the leaf nodes in this method. The authors developed the spatial index structure with inclusion relations and the algorithms of the corresponding index operations (e.g., insert, delete and query) for the complex polygons. The effectiveness of the improved index is verified by an experiment of land cover data incremental updating. Experimental results show that the proposed index method is significantly more efficient than the traditional quadtree index in terms of spatial query efficiency, and the time efficiency of the incremental updating is increased about 3 times using the proposed index method than that using the traditional quadtree index.
OBJECT-CORE ORIENTED DATA MODELLING FOR TRACKING OF BEHAVIORS OF URBAN HEAT ISLANDS
Authors: Zhu R. , Guilbert E. , Wong M. S.
Published: September 2018

Abstract. Modeling thematic and spatial dynamic behaviors of Urban Heat Islands (UHIs) over time is crucial to understand the evolution of this phenomenon and the city micro-climate. Previous studies conceptualized that a UHI can only have a single life period with spatial behaviors (i.e. areal changes and topological transformations). However, a UHI can also appear and disappear periodically several times expressed by thematic and spatial integrated behaviors, which has not been established yet. Thus, this study conceptualizes each UHI as an object which has thematic and spatial behaviors simultaneously and proposes several graphs to depict periodic life-time transitions triggered by the behaviors. The model was implemented in an object-relational database, and air temperatures collected from a number of weather stations were interpolated as temperature images each hour for six weeks. Results indicated that the model could track the spatial and thematic evolution of UHIs through continuous time effectively, and also revealed the periodical patterns and abnormal cases of UHIs over a city.
BUILDING CLASSIFICATION OF VHR AIRBORNE STEREO IMAGES USING FULLY CONVOLUTIONAL NETWORKS AND FREE TRAINING SAMPLES
Authors: Chen Y. , Gao W. , Widyaningrum E. , Zheng M. , Zhou K.
Published: September 2018

Abstract. Semantic segmentation, especially for buildings, from the very high resolution (VHR) airborne images is an important task in urban mapping applications. Nowadays, the deep learning has significantly improved and applied in computer vision applications. Fully Convolutional Networks (FCN) is one of the tops voted method due to their good performance and high computational efficiency. However, the state-of-art results of deep nets depend on the training on large-scale benchmark datasets. Unfortunately, the benchmarks of VHR images are limited and have less generalization capability to another area of interest. As existing high precision base maps are easily available and objects are not changed dramatically in an urban area, the map information can be used to label images for training samples. Apart from object changes between maps and images due to time differences, the maps often cannot perfectly match with images. In this study, the main mislabeling sources are considered and addressed by utilizing stereo images, such as relief displacement, different representation between the base map and the image, and occlusion areas in the image. These free training samples are then fed to a pre-trained FCN. To find the better result, we applied fine-tuning with different learning rates and freezing different layers. We further improved the results by introducing atrous convolution. By using free training samples, we achieve a promising building classification with 85.6 % overall accuracy and 83.77 % F1 score, while the result from ISPRS benchmark by using manual labels has 92.02 % overall accuracy and 84.06 % F1 score, due to the building complexities in our study area.
Low-hanging fruits in large-scale fluvial landscaping measures: trade-offs between
flood hazard, costs, stakeholders and biodiversity
Authors: Straatsma Menno W. , Fliervoet Jan M. , Kabout Johan A. H. , Baart Fedor , Kleinhans Maarten G.
Published: September 2018

Abstract. Adapting densely populated deltas to the combined impacts of climate change and socioeconomic developments presents a major challenge for their sustainable development in the 21st century. Decisions for the adaptations require an overview of cost and benefits and the number of stakeholders involved, which can be used in stakeholder discussions. Therefore, we investigated the balance between multi-faceted costs and benefits of common landscaping measures to compensate for changes in discharge and sea level rise on the basis of relevant, but inexhaustive, quantitative variables for physical, ecological and societal costs and benefits. We modelled the largest delta distributary of the Rhine River with adaptation scenarios driven by (1) the choice of seven measures, (2) the areas owned by the two largest stakeholders (LS) versus all stakeholders (AS), and (3) the ecological or hydraulic design principle. We evaluated measures by their efficiency in flood hazard reduction, potential biodiversity, number of stakeholders as a proxy to governance complexity, and measure implementation cost. We found that only floodplain lowering over the whole study area can offset the altered hydrodynamic boundary conditions; for all other measures, additional dike raising is required. LS areas comprise low hanging fruits for water level lowering due to the governance simplicity and hydraulic efficiency. Measures implemented in LS areas are 3 to 74 % more efficient than in AS areas. Clear trade-offs were revealed between evaluation parameters, but no single measure represented the optimal combination on all aspects. The multidimensional evaluation space provides a frame for the co-creation of adaptation paths for climate-proofing deltas.
Renovascular Safety of Sunitinib in Renal Cell Carcinoma: The Prognostic Value of Hypertension and Proteinuria
Authors: Launay-Vacher Vincent , Ray-Coquard Isabelle , Goldwasser François , Mir Olivier , Scotté Florian , Spano Jean-Philippe , Thery Jean-Christophe , Beuzeboc Philippe , Daniel Catherine , Rey Jean-Baptiste , Jouannaud Christelle , Gligorov Joseph , Selle Frédéric , Morere Jean-François , Dorent Richard , Ludwig Lisa , Deray Gilbert , Oudard Stéphane
Published: September 2018

Background

The potential prognostic value of hypertension and proteinuria of anti- vascular endothelial growth factor (VEGF) drugs has not been assessed in routine clinical practice so far in metastatic renal cell carcinoma (mRCC). The objectives were to (i) assess the prevalence of proteinuria and hypertension at baseline; (ii) their incidence under anti-VEGF drug treatment; and (iii) evaluate a possible link with overall survival.

Methods

Patients from 8 centers were included between 2009 and 2011 with a follow-up of 1 year. They were naïve of any previous anti-VEGF drug treatment and planned to be started on one. The results of the group of patients with mRCC receiving sunitinib are presented.

Results

A total of 1,124 patients were included, among whom 137 had mRCC and 112 received sunitinib. At inclusion, hypertension prevalence was 44%, proteinuria 16%, hematuria 8%, mean modification of diet in renal disease (MDRD) formula 69 mL/min/1.73m2. The incidence of de novo proteinuria and hypertension during follow-up was 75% and 21%, respectively. Among patients with de novo proteinuria, 76% afterwards improved/normalized. Mean MDRD was 72 at the end of follow-up. No thrombotic microangiopathy was reported. Baseline or de novo proteinuria or hypertension were not associated with OS in mRCC patients treated with sunitinib.

Conclusions

These results showed that (i) hypertension and proteinuria were frequent at baseline in mRCC patients; (ii) de novo hypertension and proteinuria frequently occur under sunitinib treatment; and (iii) neither hypertension nor proteinuria, either at baseline or de novo, were associated with overall survival in our cohort of “real-life” patients.
Targeting the Pd-1 Pathway in Renal Cell Carcinoma: A Review
Authors: Derosa Lisa , Albiges Laurence , Escudier Bernard
Published: September 2018

Current systemic therapy for advanced renal cell carcinoma (RCC) includes a vascular endothelial growth factor receptor, tyrosine kinase inhibitors, and a mammalian target of rapamycin inhibitors. However, treatment outcomes are still poor in most of RCC. Immune checkpoints are one of the most promising immunotherapy approaches, and recently, nivolumab has been approved for this disease. In this review article, we have aimed to discuss the role of programmed cell death protein 1 (PD-1) and PD ligand 1 (PD-L1) in RCC and the efficacy and safety of immune checkpoints in the published or recently reported studies. The literature search was made from PubMed, ESMO and ASCO Annual Meetings abstracts by using the following search keywords: “renal cell carcinoma,” “kidney cancer,” “anti-PD-1 therapy,” “anti-PD-L1 therapy,” “nivolumab,” “pembrolizumab,” “avelumab,” and “atezolizumab.” The last search was on April 20, 2017. The limitation of our review is that most of the data in RCC are based on the phase I and II trials. Currently, the U.S. Food and Drug Administration and the European Medicines Agency have approved nivolumab, but an increasing number of trials investigating the PD-1 pathway are ongoing with promising and encouraging results. According to early results of published trials, the response to anti-PD1 /PD-L1 agents is not clearly associated with PD-L1 expression. Nivolumab showed promising efficacy with acceptable safety data in metastatic RCC. Given the encouraging clinical activity and safety profile of the current PD-1/PD-L1 inhibitors, it is likely that combination approaches will take a major role in the near future.
Demystifying the Monoclonal Gammopathies of Renal Significance
Authors: Hogan Jonathan J.
Published: September 2018

The monoclonal gammopathies of renal significance (MGRS) are paraprotein-mediated diseases of the kidney in patients who do not meet criteria for multiple myeloma or systemic lymphoma. The diagnosis requires a kidney biopsy, and management is geared toward detection and treatment of the underlying plasma or B cell clone that is producing the pathogenic paraprotein. This approach is extrapolated from well-studied paraprotein-mediated diseases such as multiple myeloma and AL amyloidosis. In this review, we aim to demystify the workup and treatment of the MGRS disorders.
SPACE SIMULATION OF THE CHINA-BRAZIL EARTH RESOURCES SATELLITE  CBERS
Authors: Garcia E. C. , Dos Santos M. B. , De Almeida J. S. , Panissi D. L.
Published: September 2018

Space Simulation Tests are performed in spacecraft in order to verify equipment proper
operation under thermal vacuum conditioning and to verify the correct workmanship in
the assembling of the flight spacecraft as a whole. This paper presents the space simulation
(thermal vacuum test) developed in the China Brazil Earth Resources Satellite, Flight
Model no. 2, that took place at the Integration and Tests Laboratory  LIT, INPE. Measuring
approximately 1.8 x 2.0 x 2.2m, weighting 1,500 kg and carrying three cameras as the
main payload, this spacecraft is scheduled to be launched in China. The spacecraft was
installed in the 3x3m space simulation chamber and the tests run 24 hours a day completing
a total of 350 hours. Using the technique of skin-heaters complemented by the thermal
vacuum chamber thermally conditioned shrouds and cold plates, dedicated heat inputs
and heat sink where applied at the spacecraft surfaces in order to obtain the required high
and low acceptance values of temperature and, subsequently, simulating the operational
conditions for the necessary electronic subsystems functioning tests of the spacecraft.
This test campaign included teams from both China and Brazil, summing a total of 67
people directly involved.
SENSITIVITY ANALYSIS IN THE HEAT TRANSFER IN A FINNED NUCLEAR FUEL ELEMENT
Authors: Tito M. W. C. , Lira C. A. B. O. , Lima F. R. A. , Baliño J. L.
Published: September 2018

To carry out sensitivity analysis on a finned surface, the differential perturbative method
is applied in a heat conduction problem within a thermal system, made up of a onedimensional
circumferential fin on a nuclear fuel element. The model is described by the
temperature distribution equation and the further specific boundary conditions. The adjoint
system is used to determine the sensitivity coefficients for the case of interest. Both, the
direct model and the resultant equations of the perturbative formalism are solved. The
convective heat flow rate of the fin and the average excess temperature were the response
functionals studied. The half thickness, the thermal conductivity and heat transfer
coefficients, and the excess temperature at the base of the fin were the parameters of
interest for the sensitivity analysis. The results obtained through the perturbative method
and the direct variation had, in a general form and within acceptable physical limits, good
concordance and excellent representativeness for the analyzed cases. It evidences that the
differential formalism is an important tool for the sensitivity analysis and also it validates
the application of the methodology in heat transmission problems on extended surfaces.
The method proves to be necessary and efficient while elaborating thermal engineering
projects.
SUBSEA MULTIPHASE PUMPING SYSTEM X GAS LIFT: AN EXERGO-ECONOMIC COMPARISON
Authors: Nakashima C. Y. , Oliveira Jr. S. , Caetano E. F.
Published: September 2018

This paper presents a methodology for an exergetic comparison between two artificial lift
systems: a gas lift and a twin-screw multiphase pump system, and a standalone offshore
platform. A software (Hysys.Process v2.1) was used to simulate an offshore platform with
the artificial lift methods and calculate all properties (including exergy) of the material
and energy streams. The twin-screw multiphase pump behavior was simulated with a
thermodynamic model developed recently (NAKASHIMA (2000) and NAKASHIMA,
OLIVEIRA and CAETANO (2002)). The operational conditions of the PETROBRAS 7-
MRL-72D-RJS well operating with cited systems were predicted by an internal study
conducted in PETROBRAS (BARUZZI et al. (2001a) and partially published in BARUZZI
et al. (2001b)). The comparisons cover the range of 2000 to 2020, the same range adopted
in the study. Results show that in general the production costs are lower when the multiphase
pump is used. The main advantages of this method over the gas lift is the absence of
material (gas) recycle and a better energy management.
ESTIMATION OF BALLISTIC PARAMETERS OF GUN PROPELLANTS THROUGH CLOSED VESSEL EXPERIMENT MODELING
Authors: De Oliveira J. L. S. P. , Filho A. A. M. F. , Platt G. M. , Peixoto F. C.
Published: September 2018

Closed vessels have being used for the regression of lumped ballistic
parameters for decades. However, if material and energy balances are
coupled with burning rate empirical correlations, several uncorrelated
parameters can be estimated, which describe more accurately the
thermochemical behavior of the gases generated, even if the chemical
composition of the propellant is unknown (as when the propellant is
aged, for instance). This research presents such approach leading to a
system of differential equations which are integrated to produce a
theoretical pressure profile in the vessel, highly dependent on the choice
of empirical parameters. Such parameters are manipulated according to
the Maximum Likelihood statistical procedure, which leads to the best
set of parameters to describe the propellant.
USING EXERGY LOSS PROFILES AND ENTHALPY-TEMPERATURE PROFILES FOR THE EVALUATION OF THERMODYNAMIC EFFICIENCY IN DISTILLATION COLUMNS
Authors: Faria S. H. B. , Zemp R. J.
Published: September 2018

In this work the temperature-enthalpy profile and the exergy loss profile are used together
to improve thermodynamic efficiency of distillation columns, by identifying possible
benefits of using side exchangers. The method proposed is to compute the exergy loss
profile and to analyse the distribution of the losses across the column stages. The present
work aims at applying the stage-by-stage exergy analysis to the distillation of non-ideal
mixtures, e.g. methanol/water. For these systems the use of thermodynamic excess
properties is required: Gibbs free energy for phase equilibrium and enthalpy of solution
for energy balance. Initial studies showed that the enthalpy of solution has a small effect
on the overall energy balance of the distillation column, but a significant impact on the
exergy loss profiles. Some profiles even showed a violation of the second law of
thermodynamics, with entropy being destroyed on some stages, clearly indicating that a
wrong approach to exergy calculation was being used.A model for exergy calculations of
non-ideal solutions is presented. The exergy values so computed are then checked by a
consistency test, using the reversible column profile. Finally, the exergy procedures are
used to study a typical methanol/water distillation columns, where the exergy profiles are
used to identify scope for intermediate heat exchange.
NUMERICAL STUDY OF ICE LAYER GROWTH AROUND A VERTICAL TUBE
Authors: Stampa C. S. , Nieckeleb A. O.
Published: September 2018

Typical latent heat of fusion storage systems consists of vertical tubes inside a larger container, with phase change material being formed outside the tubes. During the charging stage of the cycle, ice is formed around the exterior of the tubes. Once all water has frozen, the discharging process can begin. This work presents a numerical investigation concerning the growth of an ice layer formed outside a vertical tube, inside an annular cavity. The inner wall of the cavity represents the external wall of the tube, whereas the outer one represents the limit of growth for the formed ice layer. Natural convection plays a significant role during the ice formation, especially due to density inversion behavior with temperature. To be able to control the growth of ice layers inside typical thermal energy storage devices, it is necessary to understand the phenomenum. The problem was solved two-dimensionally, making use of a model based on the finite volume method. The results are presented by means of: streamlines, representing the flow patterns driven by buoyancy forces; isolines of temperature; heat transfer at the inner wall of the cavity and the extraction of the thermal energy stored into the annular region of the cavity.
EXPERIMENTAL DETERMINATION OF OHMIC RESISTIVITY OF FLY ASH FOR DESIGN OF ELECTROSTATIC PRECIPITATORS
Authors: Ozawa M. , Yanagihara J. I.
Published: September 2018

The objective of the present work is to determine the ohmic resistivity of fly ashes collected at electrostatic precipitators (ESPs) attached to boilers burning Brazilian coals. An experimental device to measure the fly ash resistivity was designed and constructed; tests were conducted according to accepted standards in other countries. It was the first time that this kind of measurement was conducted for Brazilian coals. The tested materials were collected from ESPs operating in the southern region of Brazil, where the mineral coal is commonly used. The ohmic resistivity of the tested materials was smaller compared to mineral coals from abroad. The resistivity of the fly ash increased when the temperature was raised, which is in accordance with reported results for mineral coals from abroad. Tests with particulate material collected from the electrostatic precipitator (ESP) of a biomass boiler showed that its ohmic resistivity is much lower than the resistivity of fly ash from the mineral coal. This means that the ESP for biomass boiler should be smaller, which is in accordance with the industrial practice. Based on the experimental results, practical comments about ESP sizing were made in order to assist engineers and technicians dealing with the problem of gas treatment in coal combustion.
A PROCEDURE FOR TUBE COUNT DETERMINATION IN SINGLE AND MULTIPLE PASS TUBULAR HEAT EXCHANGERS
Authors: Medeiros M. S. , Leiroz A. J. K.
Published: September 2018

The development of a simple computational procedure that allows the precise determination of important parameters for the thermal and mechanical design of tubular heat exchangers is discussed in the present work. The design of tubular heat exchangers for a wide variety of applications can involve the use of empirical expressions and data tables for the determination of the tube bundle parameters, such as the tube count and the tube bundle outside diameter. The motivation for developing the discussed procedure resides in addressing cases for which empirical expressions are inapplicable or data table are unavailable. Initially, the shell positions in which tubes can be placed are determined based on specified tube pitch, angle of arrangement, inlet and outlet nozzle diameters and tube bundle-to-shell clearance. The maximum number of tubes for the given configuration is obtained from the tube position searching procedure. A sorting algorithm, based on the tube distance to the shell center, is used to appropriately place a specified number of tubes within the heat exchanger cross section. Results for a single- and multiple-pass fixed-tubesheet heat exchangers are presented and compared with available tube count tables.
LARGE EDDY SIMULATION OF TURBULENT INCOMPRESSIBLE FLUID FLOWS BY A NINE-NODES CONTROL VOLUME-FINITE ELEMENT METHOD
Authors: Silva J. B. C. , Mansur S. S. , Lima R. C.
Published: September 2018

The main purpose of this work is the numerical computation of turbulent incompressible fluid flows by a nine-node control volume finite element method (CVFEM) using the methodology of large-eddy simulation.. The domain is discretized using nine nodes finite elements and the equations are integrated into control volumes around the nodes of the finite elements. The Navier?Stokes equations are filtered for simulation of the large scales variables and the sub-grid scales stress appearing due to the filtering process are modeled through the eddy viscosity model of Smagorinsky. The two-dimensional benchmark problem of the lid-driven cavity flow is solved to validate the numerical code and preliminary results for the horizontal and vertical velocity profiles at the centerlines of the cavity and the stream functions are presented and compared with available results from the literature.
Alleviation of heat-stress-related physiological perturbations in growing rabbits using natural antioxidants
Authors: Daader Ahmed H. , Al-Sagheer Adham A. , Gabr Hassan A. , Abd El-Moniem Elham A.
Published: September 2018

The current study was performed to evaluate the effects of the dietary inclusion of extra virgin olive oil (EVOO), betaine (BET), lemongrass essential oil (LGEO), gallic acid (GA), vitamin C (VC) and vitamin E (VE) on different body temperature traits and stress hormone and glucose levels in heat-stressed growing rabbits. Rabbits were fed diets with no supplementation (control group) or supplemented with 15 g of EVOO, 400 mg of LGEO, 500 mg of GA, 1000 mg of BET, 500 mg of VC, or 200 mg of VE per kg of diet. All tested feed additives, especially EVOO, had a lowering effect on various rabbit temperature traits. Both triiodothyronine (T3) and tetraiodothyronine/thyroxine (T4) were increased (p<0.05) by the addition of BET, VC, EVOO, and VE. With the exception of the VC group, all dietary groups showed no significant changes in the insulin level compared to the control group level. In contrast, the cortisol and glucose levels were diminished (p<0.05) in all treated groups compared to the control levels. The results suggested that all tested supplementations had positive ameliorating effects on growing rabbits under a severe heat load in terms of lowered body temperatures and a favourable stress hormone balance, with the most favourable results found in the EVOO, VC, and BET supplementation groups.
Wise functioning and coping strategies in adolescents: Age as an intervening variable
Authors: Szcześniak Małgorzata , Rodzeń Wojciech , Malinowska Agnieszka , Kaliczyńska Laura , Świątek Agata H.
Published: September 2018

As we know relatively little about the development of wisdom in youth, the following study was designed to examine whether and how wise functioning would predict coping strategies in adolescents. As layperson’s implicit theories of wisdom suggest that wisdom varies by age, we wanted to see if and how age might correlate with wisdom, and examine the role of age as a mediator between wisdom and coping. Consequently, this article provides some initial evidence indicating that wise thinking, behaving, and age are related to coping strategies. It seems that wise individuals act when confronted with adversity and obstacles, focusing on the benefits that follow from stressful events. At the same time, they try to avoid using responses that are commonly considered less adaptive or immature: denial or substance use. These choices may be related to the equilibrium between knowledge and doubt that is believed to be the core of wisdom. Therefore, being wise lies not in what is known, but rather in the way in which the knowledge is used in everyday life and experienced as time passes by.
Tranzycja rodziców transpłciowych. Konteksty psychospołeczne i wychowawcze
Authors: Kowalska Małgorzata
Published: September 2018

W artykule dokonano przeglądu badań nad tranzycją rodziców transpłciowych. Analizie poddano te badania, które uwzględniały perspektywę dziecka doświadczającego tranzycji rodzica. Przedstawione wyniki ukazują znaczenie zaspokojenia potrzeb emocjonalnych dziecka, ze szczególnym uwzględnieniem potrzeby utrzymania bezpiecznej i stabilnej więzi z obojgiem rodziców w sytuacji doświadczania przez dziecko tranzycji rodzica i rozstania rodziców (rozwód, separacja). Wyniki przedstawiono i zinterpretowano w świetle teorii przywiązania Johna Bowlby’ego i koncepcji pięciu potrzeb emocjonalnych wywodzących się z podstaw teoretycznych terapii schematu.
Aksjomaty społeczne – przegląd światowych badań. Implikacje dla praktyki społecznej i wychowawczej
Authors: Bartoszak Magdalena
Published: September 2018

W artykule podjęto zagadnienie aksjomatów społecznych i podkreślono wagę ich związku z funkcjonowaniem psychologicznym jednostki. Dotychczas zidentyfikowano pięć uniwersalnych, pankulturowych aksjomatów społecznych, tj.: Cynizm społeczny, Wynagrodzony wysiłek, Złożoność społeczna, Przeznaczenie oraz Religijność, które „są uogólnionymi (zgeneralizowanymi) przekonaniami na temat świata i ludzi, w tym instytucji społecznych, fizycznego środowiska, świata duchowego oraz występujących wydarzeń i zjawisk”. Okazują się być lepszymi predyktorami zachowań niż wartości. Artykuł wskazuje na ważną rolę aksjomatów w sposobie percypowania ludzi i świata oraz określa zagrożenia, jakie mogą być konsekwencją pewnych sposobów myślenia. Międzypokoleniowa i wewnątrzrodzinna transmisja przekonań otwiera dyskusję nad wychowawczą rolą rodzin. Publikacja stanowi przegląd światowych danych o aksjomatach i jego korelatach, narzędziach pomiaru oraz obszarach wartych dalszej eksploracji. Tematyka aksjomatów jest wciąż dość nowa, przeprowadzono nieliczne badania w ich zakresie. Dotychczas nie pojawiła się polska publikacja, która gruntowałaby wiedzę o aksjomatach społecznych w ten sposób. Artykuł otwiera przestrzeń do dyskusji i analiz.
(Nie)podmiotowy wymiar relacji pomagania w pracy socjalnej
Authors: Ciczkowska-Giedziun Małgorzata , Dymowska Magdalena
Published: September 2018

Refleksja nad ideą upodmiotowienia uczestników pomocy społecznej jest w ostatnich latach akcentowana w różnych opracowaniach. Z prac tych wyłaniają się liczne walory wspomnianej koncepcji, jednak trudności pojawiają się wraz z momentem przechodzenia z perspektywy teoretycznej do praktycznej. Jest wiele sytuacji, w których podejście podmiotowe przeplata się z przedmiotowym. Celem artykułu jest próba przyjrzenia się (nie)podmiotowej relacji pomocowej w odniesieniu do mikropraktyki pracy socjalnej (jednostek, rodzin i pracowników socjalnych) jako nieoczywistej, ograniczonej barierami oraz nie zawsze możliwej do zastosowania w praktyce. Analizy zagadnienia dokonano w kontekście poszukiwania uwarunkowań wynikających z funkcjonowania klientów pomocy społecznej, pracy profesjonalistów oraz systemu pomocy społecznej i wpływu tych czynników na sposób tworzenia relacji pomocowej. Odpowiedź na pytanie, czy relacja pomocowa w pracy socjalnej może stać się podmiotową, nie jest obecnie łatwa. Jak podkreślono we wnioskach końcowych, podmiotowość jako element konstruowania wzajemnej relacji w procesie pomagania ma szansę pojawić się w pracy socjalnej opartej na zasobach, przy zastosowaniu idei empowermentu, pracy socjalnej opartej na zasobach (w tym Podejściu Skoncentrowanym na Rozwiązaniach), Konferencji Grupy Rodzinnej, Wideotreningu Komunikacji czy Dialogu Motywującego. W artykule wskazano również zarówno możliwości, jak i dylematy zastosowania tych podejść w praktyce pracy socjalnej.
On a Misguided Argument for the Necessity of Identity
Authors: Maunu Ari ,   Philosophy Documentation Center
Published: September 2018

There is a certain popular argument, deriving from Ruth Barcan and Saul Kripke, from the conjunction of the Principle of the Indiscernibility of Identicals (PInI, for short) and the Principle of the Necessity of Self-Identity to the Thesis of the Necessity of Identity. My purpose is to show that this argument does not work, at least not in the form it is often presented. I also give a correct formulation of the argument and point out that PInI is not even needed in the argument for the necessity of identity.
L’émergence de Sibyllines : une construction collective
Authors: Cadieux Alexandre
Published: September 2018

Lorsque Brigitte Haentjens fonde Sibyllines en 1997, elle inaugure un nouvel espace de liberté artistique dont elle entend définir elle-même les règles et les orientations. L’étude de divers discours médiatiques – entrevues et critiques de spectacles parues dans la presse écrite francophone – consacrés aux spectacles Je ne sais plus qui je suis (1998) et Hamlet-machine (2001) permet de dégager les principales composantes esthétiques et philosophiques de cette entreprise dans les premières années de son existence, et ce, en comparant les points de vue de l’artiste, de ses collaboratrices et collaborateurs ainsi que des journalistes couvrant ces événements.