bluuebunny/crossref_metadata_2025 huggingface dataset:
Mountain water cellars: a chemical characterization and quantification of the hydrological processes and contributions from snow, glaciers and groundwater to the Upper Mendoza River basin (~ 32° S), Argentina
Authors: Crespo Sebastián A. , Aranibar Julieta N. , Fernandoy Francisco , Cara Leandro
Published: May 2018

Abstract. Abstract. Between 2010 and 2015 the Central Andes of Chile and Argentina (32–37° S) suffered the effects of a mega drought without precedents in the instrumental period, where 71 % of weather stations showed more than 30 % of rainfall scarcity in Central Chile. The Cordillera Principal geological province, in the Upper Mendoza River basin, receives almost exclusively winter precipitation originated from the Pacific Ocean moisture. In addition to the snow that precipitates in this area of 3023 km2, there are 951 ice bodies, covering an area of 404 km2. The Mendoza River flow provides fresh water for more than 1.1 million inhabitants in this agriculture based arid region. Given the high inter–annual variability of snowfall, strongly affected by ENSO events, and the aridity of the region, it is crucial to quantify the contribution from different water sources to the Mendoza River flow. Glaciers play an important role regulating water availability, with mass accumulation in wet and cold years, and melting in hot, dry years. Understanding their dynamics as a function of environmental variables will help us predict water availability under a changing climate. Combining the instrumental record of streamflow from glaciers and rivers, meteorological data, remote sensing of snow covered area and chemical analysis of different water sources, this study attempts to understand climatic variables that control thawing, and the hydrological contribution of different glaciers to the streamflow during a dry period. Isotopic composition allowed us to differentiate snowmelt from glacier ice melt. In addition, it was possible to detect contributions of summer rainfall from Atlantic origin, in their unique storms that reach the Cordillera Principal, even when they had not been registered at weather stations. Finally, with end member mixing analysis, the relative contribution from different water sources were quantified over time, showing the temporally increasing contribution of glacial and periglacial environments as the melting season progresses.
Integrated assessment of future potential global change scenarios and their hydrological impacts in coastal aquifers – a new tool to analyse management alternatives in the Plana Oropesa-Torreblanca aquifer
Authors: Pulido-Velazquez David , Renau-Pruñonosa Arianna , Llopis-Albert Carlos , Morell Ignacio , Collados-Lara Antonio-Juan , Senent-Aparicio Javier , Baena-Ruiz Leticia
Published: May 2018

Abstract. Any change in the components of the water balance in a coastal
aquifer, whether natural or anthropogenic, can alter the freshwater–salt
water equilibrium. In this sense climate change (CC) and land use and land
cover (LULC) change might significantly influence the availability of
groundwater resources in the future. These coastal systems demand an
integrated analysis of quantity and quality issues to obtain an appropriate
assessment of hydrological impacts using density-dependent flow solutions.
The aim of this work is to perform an integrated analysis of future potential
global change (GC) scenarios and their hydrological impacts in a coastal
aquifer, the Plana Oropesa-Torreblanca aquifer. It is a Mediterranean aquifer
that extends over 75 km2 in which important historical LULC changes
have been produced and are planned for the future. Future CC scenarios will
be defined by using an equi-feasible and non-feasible ensemble of projections
based on the results of a multi-criteria analysis of the series generated
from several regional climatic models with different downscaling approaches.
The hydrological impacts of these CC scenarios combined with future LULC
scenarios will be assessed with a chain of models defined by a sequential
coupling of rainfall-recharge models, crop irrigation requirements and
irrigation return models (for the aquifer and its neighbours that feed it),
and a density-dependent aquifer approach. This chain of models, calibrated
using the available historical data, allow testing of the conceptual
approximation of the aquifer behaviour. They are also fed with series representatives of potential global
change scenarios in order to perform a sensitivity analysis regarding future
scenarios of rainfall recharge, lateral flows coming from the hydraulically
connected neighbouring aquifer, agricultural recharge (taking into account
expected future LULC changes) and sea level rise (SLR). The proposed analysis
is valuable for improving our knowledge about the aquifer, and so comprises a
tool to design sustainable adaptation management strategies taking into
account the uncertainty in future GC conditions and their impacts. The
results show that GC scenarios produce significant increases in the
variability of flow budget components and in the salinity.
High-resolution ensemble projections and uncertainty assessment of regional climate change over China in CORDEX East Asia
Authors: Gu Huanghe , Yu Zhongbo , Yang Chuanguo , Ju Qin , Yang Tao , Zhang Dawei
Published: May 2018

Abstract. An ensemble simulation of five regional climate models (RCMs) from the
coordinated regional downscaling experiment in East Asia is evaluated and
used to project future regional climate change in China. The influences of
model uncertainty and internal variability on projections are also
identified. The RCMs simulate the historical (1980–2005) climate and future
(2006–2049) climate projections under the Representative Concentration
Pathway (RCP) RCP4.5 scenario. The simulations for five subregions in China,
including northeastern China, northern China, southern China, northwestern
China, and the Tibetan Plateau, are highlighted in this study. Results show
that (1) RCMs can capture the climatology, annual cycle, and interannual
variability of temperature and precipitation and that a multi-model ensemble
(MME) outperforms that of an individual RCM. The added values for RCMs are
confirmed by comparing the performance of RCMs and global climate models
(GCMs) in reproducing annual and seasonal mean precipitation and temperature
during the historical period. (2) For future (2030–2049) climate, the MME
indicates consistent warming trends at around 1 ∘C in the entire
domain and projects pronounced warming in northern and western China. The
annual precipitation is likely to increase in most of the simulation region,
except for the Tibetan Plateau. (3) Generally, the future projected change in
annual and seasonal mean temperature by RCMs is nearly consistent with the
results from the driving GCM. However, changes in annual and seasonal mean
precipitation exhibit significant inter-RCM differences and possess a larger
magnitude and variability than the driving GCM. Even opposite signals for
projected changes in average precipitation between the MME and the driving
GCM are shown over southern China, northeastern China, and the Tibetan
Plateau. (4) The uncertainty in projected mean temperature mainly arises from
the internal variability over northern and southern China and the model
uncertainty over the other three subregions. For the projected mean
precipitation, the dominant uncertainty source is the internal variability
over most regions, except for the Tibetan Plateau, where the model
uncertainty reaches up to 60 %. Moreover, the model uncertainty increases
with prediction lead time across all subregions.
AUTOMATIC LARGE-SCALE 3D BUILDING SHAPE REFINEMENT USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
Authors: Bittner K. , d’Angelo P. , Körner M. , Reinartz P.
Published: May 2018

Abstract. Three-dimensional building reconstruction from remote sensing imagery is one of the most difficult and important 3D modeling problems for complex urban environments. The main data sources provided the digital representation of the Earths surface and related natural, cultural, and man-made objects of the urban areas in remote sensing are the digital surface models (DSMs). The DSMs can be obtained either by light detection and ranging (LIDAR), SAR interferometry or from stereo images. Our approach relies on automatic global 3D building shape refinement from stereo DSMs using deep learning techniques. This refinement is necessary as the DSMs, which are extracted from image matching point clouds, suffer from occlusions, outliers, and noise. Though most previous works have shown promising results for building modeling, this topic remains an open research area. We present a new methodology which not only generates images with continuous values representing the elevation models but, at the same time, enhances the 3D object shapes, buildings in our case. Mainly, we train a conditional generative adversarial network (cGAN) to generate accurate LIDAR-like DSM height images from the noisy stereo DSM input. The obtained results demonstrate the strong potential of creating large areas remote sensing depth images where the buildings exhibit better-quality shapes and roof forms.
DEM BASED REGISTRATION OF MULTI-SENSOR AIRBORNE POINT CLOUDS EXEMPLARY SHOWN ON A RIVER SIDE IN NON URBAN AREA
Authors: Boerner R. , Xu Y. , Hoegner L. , Baran R. , Steinbacher F. , Stilla U.
Published: May 2018

Abstract. This paper presents a method to register photogrammetric point clouds generated from optical images acquired by UAV and aerial LIDAR point clouds. Normally, the registration of two airborne scans of the same scene is solved by the use of control points and the direct registration using GNSS and INS information. However, the registration of multi-sensor point clouds without control points is more complicated and challenging. For the scene of non urban areas, the registration task gets even more complicated, because it is hard to extract sufficient geometric primitives from the building structures. For our proposed method, an outdoor scene is tested providing almost no man-made objects. Therefore, it is nearly impossible to search for planar objects and use them for registration. With no geometric primitives extracted, the proposed method utilizes the structure of the 2.5D DEM created from the ground points of the point cloud. Besides, instead of using control points or key points, the method automatic detect key planes from the 2.5D DEM as correspondences. These key planes are detected on a regular grid by the use of a predefined mask. To mark a DEM grid cell as key plane the histogram of sums of the angles between the center cell is used. Afterwards, similarity values between two key planes are calculated based on the histogram differences and a RANSAC based strategy is adopted to find corresponding key planes and estimate the transformation parameters. Experiments conducted in this paper indicate that it is feasible to register multi sensor point clouds with a big difference in their ground sampling distances with respect to the used cell size of the 2.5D DEM.
UNDERWATER PHOTOGRAMMETRY IN VERY SHALLOW WATERS: MAIN CHALLENGES AND CAUSTICS EFFECT REMOVAL
Authors: Agrafiotis P. , Skarlatos D. , Forbes T. , Poullis C. , Skamantzari M. , Georgopoulos A.
Published: May 2018

Abstract. In this paper, main challenges of underwater photogrammetry in shallow waters are described and analysed. The very short camera to object distance in such cases, as well as buoyancy issues, wave effects and turbidity of the waters are challenges to be resolved. Additionally, the major challenge of all, caustics, is addressed by a new approach for caustics removal (Forbes et al., 2018) which is applied in order to investigate its performance in terms of SfM-MVS and 3D reconstruction results. In the proposed approach the complex problem of removing caustics effects is addressed by classifying and then removing them from the images. We propose and test a novel solution based on two small and easily trainable Convolutional Neural Networks (CNNs). Real ground truth for caustics is not easily available. We show how a small set of synthetic data can be used to train the network and later transfer the learning to real data with robustness to intra-class variation. The proposed solution results in caustic-free images which can be further used for other tasks as may be needed.
CAN WE USE LOW-COST 360 DEGREE CAMERAS TO CREATE ACCURATE 3D MODELS?
Authors: Barazzetti L. , Previtali M. , Roncoroni F.
Published: May 2018

Abstract. 360 degree cameras capture the whole scene around a photographer in a single shot. Cheap 360 cameras are a new paradigm in photogrammetry. The camera can be pointed to any direction, and the large field of view reduces the number of photographs. This paper aims to show that accurate metric reconstructions can be achieved with affordable sensors (less than 300 euro). The camera used in this work is the Xiaomi Mijia Mi Sphere 360, which has a cost of about 300 USD (January 2018). Experiments demonstrate that millimeter-level accuracy can be obtained during the image orientation and surface reconstruction steps, in which the solution from 360° images was compared to check points measured with a total station and laser scanning point clouds. The paper will summarize some practical rules for image acquisition as well as the importance of ground control points to remove possible deformations of the network during bundle adjustment, especially for long sequences with unfavorable geometry. The generation of orthophotos from images having a 360° field of view (that captures the entire scene around the camera) is discussed. Finally, the paper illustrates some case studies where the use of a 360° camera could be a better choice than a project based on central perspective cameras. Basically, 360° cameras become very useful in the survey of long and narrow spaces, as well as interior areas like small rooms.
OBJECT LOCALIZATION FOR SUBSEQUENT UAV TRACKING
Authors: Aglyamutdinova D. B. , Mazgutov R. R. , Vishnyakov B. V.
Published: May 2018

Abstract. The paper is devoted to the problem of semi-automatic initialization of the tracking algorithm, i.e. selecting an object of interest by unmanned aerial vehicles or drones. In this work, we propose an algorithm to refine the position and dimensions of the boundary box of the tracked object at the initial time (on the first frame), based on saliency detection algorithm, which simulates the map of human attention. We tested existing algorithms for object tracking by UAVs on the largest and most complex dataset – UAV 123. It is shown that the quality of tracking as a result of initialization by the proposed algorithm varies within acceptable limits for successful tracking of the object. The advantage of the proposed approach is that it applies the principles, used by the human visual system: the color, contrast, central focus.
Remote-sensing estimate of glacier mass balance over the central Nyainqentanglha Range during 1968 – ∼ 2013
Authors: Wu Kunpeng , Liu Shiyin , Jiang Zongli , Xu Junli , Wei Junfeng
Published: May 2018

Abstract. With high air temperatures and annual precipitation, maritime glaciers in southeastern Tibet are sensitive to climate change. Current glaciological knowledge of those in the central Nyainqentanglha Range is still limited because of their inaccessibility and low-quality data. To obtain information on changes in glacier area, length and mass balance, a comprehensive study was carried out based on topographic maps and Landsat TM/ETM+/OLI images (1968 and 2016), and on digital-elevation models (DEM) derived from the 1968 maps, from the Shuttle Radar Topography Mission (SRTM) DEM (2000), and from TerraSAR-X/TanDEM-X (∼ 2013). This showed the area contained 715 glaciers, with an area of 1713.42 ± 51.82 km2, in 2016. Ice cover has been shrinking by 0.68 % ± 0.05% a−1 since 1968, although in the most recent decade this rate has slowed. The glacier area covered by debris accounted for 11.9 % of the total and decreased in SE-NW directions. Using DEM differencing and Differential Synthetic Aperture Radar Interferometry (DInSAR), a significant mass deficit of 0.46 ± 0.04 m w.e. a−1 has been recorded since 1968; mass losses accelerating from 0.42 ± 0.05 m w.e. a−1 to 0.60 ± 0.20 m w.e. a−1 during 1968–2000 and 2000–∼ 2013, with thinning noticeably greater on the debris-covered ice than the clean ice. Surface-elevation changes can be influenced by ice cliffs, as well as debris cover, and land- or lake-terminating glaciers and supraglacial lakes. Changes showed spatial and temporal heterogeneity and a substantial correlation with climate warming.
NONLINEAR VISCOELASTIC DISSIPATION IN VULCANIZATES CONTAINING CARBON BLACK AND SILANIZED SILICA HYBRID FILLERS
Authors: Yadollahi Shahla , Ramezani Mostafa , Razzaghi-Kashani Mehdi , Bahramian Ahmad-Reza
Published: May 2018

Different mechanisms of large-strain viscoelastic dissipation in vulcanizates containing carbon black or silanized silica and their synergistic effects in hybrid filler tread vulcanizates were investigated. In addition, the pure effects of fillers were examined while the degree of chemical cross-linking in the rubber matrix was similar in the vulcanizates. The results revealed that nonlinear viscoelastic loss modulus under strain-controlled dynamic tests, as a measure of dissipation mechanism, is high in both carbon black and silanized silica tread vulcanizates. However, a synergistic effect in reducing loss modulus was observed in the hybrid filler vulcanizates. Conversely, storage modulus in the vulcanizates containing more silanized silica is distinguishably higher and results in a lower loss factor representing load-controlled cyclic deformation of vulcanizates, such as in the heat buildup test. Both loss factor and heat build-up reduced nonlinearly as the amount of silanized silica increased in the vulcanizates, verifying the synergistic effect of hybrid carbon black–silanized silica filler in reducing dissipative mechanisms in large-strain dynamic loadings. This feature is highly favorable for the tire industry, where the lowering of viscoelastic dissipation in tread vulcanizates is of great importance.
INFLUENCE OF NANOFILLER ON THERMAL DEGRADATION RESISTANCE OF HYDROGENATED NITRILE BUTADIENE RUBBER
Authors: Saha Tuhin , Bhowmick Anil K.
Published: May 2018

Studies on the degradation of elastomers and their prevention have become increasingly important in recent years because of stringent environmental conditions in many industrial applications. The reactive atomistic simulation was executed on a hydrogenated acrylonitrile-butadiene rubber (HNBR40) model compound composed of 40 monomer units. The reactive simulation was used to study the decomposition behavior of HNBR40, to visualize different pyrolysis products, and also to analyze the degradation mechanism of HNBR40. Ethylene, propylene, and acrylonitrile were observed as dominant products at lower temperature, and 1-butene was found at higher temperature. Pyrolysis–gas chromatography–mass spectrometry was used to verify the decomposition products obtained from the prediction of atomistic simulation. In this study, nanofillers, especially nanoclays and nanosilicas, were used to prevent degradation significantly. Restricted degradation by the nanofiller-reinforced rubber prolonged the durability. Furthermore, the reactive simulation was performed to understand thermal decomposition characteristics of the model compound in the presence of the nanofiller. The initial decomposition temperature, the final degradation temperature, and the rate of degradation improved to a great extent on the addition of the model nanosilica compound as obtained from the simulation studies. Moreover, the lifetime of nanoclay- and nanosilica-reinforced hydrogenated acrylonitrile–butadiene rubber was calculated by using thermogravimetric analysis, and its useful lifetime was compared with that of the pristine polymer in the application temperature range of 150 °C.
English as a “Killer Language”? Multilingual Education in an Indigenous Primary Classroom in Northwestern Mexico
Authors: Gutiérrez Estrada María Rebeca , Schecter Sandra R.
Published: May 2018

We report findings of an ethnographic study that explored complexities of English Language Teaching (ELT) in a minority indigenous context in northwestern Mexico. The study investigated a trilingual education setting at the nexus of 2 major events: incorporation of Intercultural Bilingual Education throughout Mexico and integration of ELT into the country’s public school system. Methods included participant observation in primary-level language classes and semi-structured interviews with educators and other stakeholders affiliated with a rural school where an indigenous variety, a societal variety, and a foreign language were taught. Findings indicate that teacher agency was a powerful tool in linguistic and cultural maintenance and transforming language policy and planning at the local level. Although the spread of English may be unavoidable, with local community involvement and a school-based commitment to support linguistic and cultural maintenance, the micro language policy context can be conFigured to promote a symbiotic relationship among linguistic varieties.
Strategies and Paths for Social Organizations to Participate in Public Policies
Authors: Lin PAN
Published: May 2018

The participation of social organizations in the process of public policy can make up for the limitations of the existing system, effectively safeguard the social interests at the core of the public interests and promote the sustainable development of the diversified society. However, in the process of participating in public policy, the social organizations of our country still face some factors such as unclear legal status of participation, insufficient operating funds, lack of professional talents and imperfect supervision system. We should take strategies and measures from the aspects of law, system and the self construction of non-governmental organizations, expand the scope and level of social organizations to participate in public policies, and promote the democratization and scientization of public administration in China.
Aninha, Gertrudes e suas dores: a condição feminina na escrita de Augusta Faro
Authors: Gomes da Silva Denise Lima
Published: May 2018

Neste artigo buscamos refletir sobre a representação da identidade feminina nos contos A Ceia de Aninha e Gertrudes e seu homem, ambos da escritora Augusta Faro. Tomamos com aporte teórico o diálogo entre os Estudos Culturais, as Teorias de Gênero e a Literatura. A interação entre estes campos permite refletir sobre o como o texto literário resgata e problematiza aspectos que atravessam as práticas culturais, e sendo a identidade uma construção cultural discursiva fluida, procuramos olhar de quer forma os contos em questão (re)produzem universos que legitimam as formas de pensar o masculino e o feminino. Buscamos analisar a maneira como Aninha e Gertrudes, as protagonistas dos contos, lidam com os papéis de gênero e procuram solucionar o caráter conflituoso da sua condição existencial.
Representações do capitalismo em Chapetuba Futebol Clube, de Oduvaldo Vianna Filho
Authors: Borges Luiz Paixão Lima
Published: May 2018

Chapetuba Futebol Clube, primeira peça teatral de Oduvaldo Vianna Filho – Vianninha – encenada pelo Grupo de Teatro Arena, marcou época por seu valor dramatúrgico e por sua importância na análise da realidade social brasileira. Neste trabalho, tentamos ultrapassar a crítica tradicional, que percebe apenas no binômio suborno/corrupção no futebol o reflexo da sociedade, para abordar as configurações dos mecanismos de opressão capitalista apontados pelo dramaturgo. Na peça, o futebol não é visto apenas como paixão corrompida e manipulada pelo dinheiro, embora este seja o seu tema: a discussão recebe tratamento diferenciado, tanto política quanto ideologicamente, pois pretende debater a configuração social frente aos poderosos mecanismos de persuasão e coerção econômica do sistema capitalista em nosso país, através da discussão em torno do suborno e da corrupção.
Módulo de reconhecimento do gênero: dissertação-argumentativa do ENEM sob perspectiva interacionista
Authors: Barbosa Ana Carla , Wiltemburg Santos Luís Fernando , Dutra Alessandra , Ferreira dos Santos Givan José
Published: May 2018

O estudo apresenta reflexões e possibilidades relacionadas ao módulo de reconhecimento do gênero textual na modelização didática do objeto de ensino dissertação-argumentativa no Ensino Médio sob os moldes do gênero apreciados no Exame Nacional do Ensino Médio (ENEM). Para tanto, apresenta revisão de literatura que explicita a presentificação do objeto de ensino, correspondente a este módulo de reconhecimento. O percurso epistemológico compreende a concepção interacionista de desenvolvimento humano mediado e observado pela linguagem, a partir dos postulados de Vygotsky e Bakhtin, do interacionismo sócio-discursivo no que tange à transposição didática e a documentos orientadores, como a Matriz de Referência da Redação do Enem e a Cartilha do Participante. Como resultado, apresenta-se proposta metodológica produtiva para professores e estudantes do Ensino Médio sobre o gênero textual dissertativo-argumentativo do ENEM.
Os coletivos de pensamento na formação de professores de Biologia
Authors: Silva Ávila de Matos Eloiza Aparecida , De Souza Rodrigo Diego
Published: May 2018

A organização curricular das licenciaturas também consiste num espaço de formação, pois delineiam os trajetos curriculares pelos quais os licenciados são inicialmente formados. Dessa forma, o objetivo deste artigo é caracterizar os possíveis coletivos de pensamento que estão presentes na formação dos professores de Biologia. O referencial teórico que pauta a discussão é a epistemologia de Ludwik Fleck. Os procedimentos utilizados neste estudo compreendem a pesquisa documental apoiada por técnicas de pesquisa qualitativa, com a contribuição das categorias de Fleck. Analisou-se o Projeto Pedagógico da Licenciatura em Ciências Biológicas de uma universidade pública do estado do Paraná e constatou-se: a existência de possíveis coletivos de pensamento na formação dos professores de Biologia, os quais se movimentam por meio de instauração, extensão e transformação dos estilos de pensamento no interior dos coletivos; a importância das complicações no processo de instauração de um novo estilo de pensamento. Além disso, evidenciam-se as lacunas presentes nas disciplinas que compõem a área de educação em ciências, o que indica a necessária reflexão acerca de que professor se espera formar e da importância das discussões relacionadas à educação e ao ensino para a efetivação da identidade das licenciaturas, e não bacharelados mascarados de licenciaturas.
A experiência das disciplinas de formação docente em ensino de Física no MNPEF-UEPG: proposta pedagógica, reflexões e ações
Authors: Rutz da Silva Silvio Luiz , Brinatti André Maurício , Chaves de Andrade André Vitor
Published: May 2018

Neste trabalho, relatamos uma experiência de planejamento de atividades pedagógicas, na qual o modelo de ensino empregado foi a construção do conhecimento a partir das experiências pessoais dos professores-discentes, de modo a conduzi-los a uma reflexão sobre sua história de formação profissional. O método empregado, fundamentado nas teorias de aprendizagem, foi pautado em uma abordagem humanista com elementos cognitivistas, sendo que as metodologias empregadas tiveram variações em função dos objetivos propostos para cada um dos conteúdos abordados. Esse processo de ensino-aprendizagem conduz à formação de docentes-pesquisadores como resultado de uma atividade reflexiva, crítica e inovadora, aplicada diretamente à atuação profissional do docente, na produção de conhecimento diretamente associado à prospecção de problemas e soluções para o ensino-aprendizagem dos conhecimentos em Física. A intenção é oferecer referências de propostas de ensino de Física coerentes com as estruturas de pensamento exigidas pela ciência e pela tecnologia, pelo exemplo de suas inserções na realidade educacional, ao mesmo tempo que mostrem como se pode dar tratamento adequado à interdependência de conteúdos para a formação de visão das interconexões dos conteúdos da Física.
A utilização dos mapas conceituais no ensino de ciências nos anos iniciais
Authors: Lorenzetti Leonir , Da Silva Virginia Rotters
Published: May 2018

Este trabalho analisou as contribuições do uso do mapa conceitual no processo de ensino e aprendizagem com alunos do 4º ano do ensino fundamental de uma escola pública municipal de Araucária, PR. Partindo-se de uma sequência didática sobre a água, foi solicitado aos alunos que elaborassem, em grupo, um mapa conceitual que expressasse o conhecimento científico construído ao longo de seis aulas. Os mapas conceituais foram analisados a fim de verificar como o conhecimento foi representado bem como a compreensão da técnica de mapeamento.
Verificou-se que o mapa conceitual se mostrou importante na representação do conhecimento dos alunos, que houve ampliação do vocabulário científico proposto no plano de aula, porém, sem profundidade nas relações entre conceitos, pois nem todos os alunos demonstraram compreensão plena daquilo que representaram. Constatou-se que os alunos tiveram dificuldade para representar o conhecimento por meio dos mapas, não porque não sabiam, mas pela inexperiência na sua construção e utilização, demonstrando assim a necessidade de um período maior de tempo para aplicação e intervenções.
Tesis de economía 1990
Authors: Economía Departamento de
Published: May 2018

No abstract availableRealidad: Revista de Ciencias Sociales y Humanidades No. 23, 1991: 697-704
Los acuerdos de Nueva York en el tema económico social: perspectivas de transformación
Authors: Editor El
Published: May 2018

No abstract availableRealidad: Revista de Ciencias Sociales y Humanidades No. 25, 1992: 3-7
Concertación para una nueva economía popular
Authors: Montoya Aquiles
Published: May 2018

No abstract availableRealidad: Revista de Ciencias Sociales y Humanidades No. 25, 1992: 35-47
Presentación No. 26
Authors: Editor El
Published: May 2018

No abstract availableRealidad: Revista de Ciencias Sociales y Humanidades No. 26, 1992: 103-104
La reconversión industrial en El Salvador y la necesidad de una política sectorial estratégica que le de dirección al proceso
Authors: Sorto Francisco
Published: May 2018

No abstract availableRealidad: Revista de Ciencias Sociales y Humanidades No. 28, 1992: 473-480
The Relationship between Teacher Autonomy Support and the Attitude and Anxiety toward Mathematics Course
Authors: Erdik Cengiz
Published: May 2018

The purpose of the present research is to determine the correlation between attitude and anxiety of seventh and eighth grade students toward mathematics course and behaviors of mathematics teachers to support and exhibit learner autonomy toward mathematics course. The population of the research was consisted of 1.563 students and 35 mathematics teachers from 22 schools. Research data was collected by means of Learner Autonomy Support Scale and Mathematics Course Attitude and Anxiety Scale. Conclusively, it was revealed that eighth grade students were more anxious, their anxiety levels and attitudes differed according to their success levels, and that they did not exhibit statistically significant difference according to their genders and teachers’ genders. It was determined that there is no statistically significant correlation between level of teachers’ support for learner autonomy and students’ anxiety and attitude levels toward mathematics course.
Adult Inmates’ Motivation for Participation in Educational Programs in Greece
Authors: Papaioannou Vasiliki , Anagnou Evaggelos , Vergidis Dimitris
Published: May 2018

Adult Education in prisons aims at challenging the illiteracy of those incarnated, which often leads to delinquency and recidivism. In Greece there are educational programs designed for inmates like those of vocational training and counseling. With the establishment of Second Chance Schools (SCS) inside prisons, a more systematic and integrated effort was made for the overall development of trainees and their fullest participation in the economic, social and cultural life. In the past, little interest had been shown regarding the education of adult inmates. Lately, however, many studies have been conducted regarding the work that SCS provide. For this reason, a systematic review of the relevant bibliography and a compilation of the findings of the studies realized between 2006-2016, regarding the motives of inmates participating in the educational programs, was considered appropriate. The results demonstrate that the strongest motives have to do with the pains of imprisonment, the reduction of time the inmates had to serve, the enrichment of knowledge of the inmates, their self-improvement and the ability to acquire and develop essential skills for their rehabilitation in the societal and professional world.
Review of the Literature on Stress and Wellbeing of International Students in English-Speaking Countries
Authors: Alharbi Eman S. , Smith Andrew P.
Published: May 2018

This review aims to address the major sources of stress experienced by international students, the role of individual differences, the chronology of their stress levels and wellbeing over time, and gaps in the existing literature. Two electronic databases (PubMed and Psych Info) were searched for English peer-reviewed articles using eight search terms. Thirty-eight studies were included in this paper and divided into themes and sub-themes including sources of stress, individual differences and mental health including stress, depression and wellbeing. The findings highlight major stressors and show mixed results in some areas due to the lack of homogenous samples based on country of origin or ethnicity and sometimes context differences concerning the country or university social dynamics. Limitations were identified in the methodology, and several recommendations for future research are included.
A Proposed Credit Risk Assessment for People at the Bottom of the Social Pyramid in Cali, Colombia
Authors: Acevedo Juan , Martínez Lina
Published: May 2018

The informal economy accounts for half of the economic activity in Colombia. Street vending is a major part of the informal sector. In the context of a rapid urbanization due to internal conflicts, low skilled workers find a last resort for income generation as street vendors. Even though studies have revealed that street vendors can have high profits, they usually remain poor. A primary reason is their continuous indebtedness outside the regulated financial market. This paper proposes a comprehensive questionnaire survey on the socioeconomic profile of street vendors. This tool can be used to assess the individual credit risk and incentivize the financial inclusion of the poor. It can also be used for evaluation processes by the government or impact investors.
Meta-heuristic and RSM approach for Multi-objective Optimization of Plain Flow Refrigerant Vapor Condensation inside Tubes
Authors: Kumar Ravindra , Kumar Parmananad
Published: May 2018

Condensers are extensively used heat exchangers in
automobiles and air conditioning systems. Optimization of heat transfer and
pressure drop inside condensers is an important area of concern for the designers.
In the present study, condensation  characteristics inside smooth
horizontal tubes is optimized using teaching-learning based optimization (TLBO)
algorithm and response surface methodology (RSM). Refrigerant mass velocity
(G), vapor quality (x) and tube internal diameter (Di) are taken as
design parameters. Heat transfer coefficient (h) and pressure drop (ΔP) values of
refrigerants are calculated based on the mathematical models and served as
objective functions for RSM. The same mathematical models are applied to
formulate a multi-objective optimization problem with an aim to maximize heat
transfer coefficient and minimize pressure drop and is solved using TLBO. Two
different refrigerants have been considered to display the application of the
approaches. Of the two methods applied, TLBO seems to give better optimum
results.
MODEL DEVELOPMENT OF A SUITABLE EQUATION OF STATE FOR MULTICOMPONENT MULTIPHASE SYSTEMS: APPLICATION TO CRUDE OIL PHASE STABILITY REQUIREMENTS
Authors: BABALOLA Faith , SUSU Alfred
Published: May 2018

A suitable Equation of State (EOS) was developed
for multi component, multi phase systems from the Peng-Robinson Equation of
State using a newly developed variable parameter ‘a’ approach (VPAA) which
treats the attractive term parameter as a variable regressed by two straight
lines. This EOS was used to determine the stability limit curves for crude oils
from three different oil wells on the application of the Helmholtz free energy
criterion for intrinsic stability. This was used along with the T-isotherm for
the crude oils and the stability limit was found by locating the point of
intersection of the two curves. For Well-1, the vapor phase was unstable while
the liquid phase was stable at 47.4 atm. For Well-2, the vapor phase was stable
at 209 atm. while the liquid phase was stable at two pressure values of 191atm.
and 213 atm. For Well-3 however, the vapor phase was stable at 45.7 atm. while
two liquid phases were identified. The lighter one was unstable at the
temperature of interest, while the heavier one was stable at 115.9 atm.
Antigens of Actinobacillus pleuropneumoniae and their use in the design of vaccines, especially glycoconjugates
Authors: Przybyl Sylwia , Jachymek Wojciech
Published: May 2018

Actinobacillus pleuropneumoniae (further: A. pleuropneumoniae) is microaerophilic, Gram-negative bacteria belonging to the Pasteurellaceae family. This pathogenic microorganism is a major cause of porcine pleuropneumonia and fibrinous pleurisy, highly contagious diseases of the respiratory tract, affecting predominantly young pigs. Pleuropneumonia and fibrinous pleurisy can be diagnosed due to cough combined with a high mortality and the common infection route is direct transfer of bacteria by aerosol. A. pleuropneumoniae is a significant factor for economic losses in the swine industry all over the world. Progress made in research concerning a new potential vaccine enables the development of technology for designing safe, new candidates which could provide full protection against most of A. pleuropneumoniae serotypes. Several immunogenic factors of A. pleuropneumoniae have been found, including carbohydrate antigens, protein molecules and lipostructures. Carbohydrate antigens, as capsular polysaccharides (CPS) and lipopolysaccharides (LPS), have a special place due to their properties and wide potential. Some of these microbial structures were used to create subunit vaccines containing polysaccharide-protein conjugates, which seem to be a promising solution. The prevention methods, such as vaccines, should minimize medical expenses and financial losses. This article shows a wide repertoire of A. pleuropneumoniae antigens and focuses on one of the most promising strategies in vaccine design – glycoconjugate vaccines.
Morphology of aluminium with nickel
addition on sand casting process
Authors: Puspitasari P. , Fauzan R. , Ginta T.L. , Mustapha M. , Puspitasari D.
Published: May 2018

Purpose: his research aimed to examine the morphology, elemental changes, and phase in
the aluminium cast alloys with variations in nickel addition of 1%, 2% and 3%.
Design/methodology/approach: Aluminium 98% was melted in sand casting process.
The sand casting process was operated at 7000C and atmospheric pressure. The addition
of nickel contain of 92.19% of its element. Specimens consist of 4 pieces Al-Ni with the size
of 1 x 1 x 0.5 cm for morphological testing, while for phase identification testing consist of
4 pieces Al-Ni with the size of 1 x 1 x 2 cm. The morphological testing was performed using
FEI Inspect S50 Scanning Electron Microscope (SEM) and the phase characterisation was
conducted using Nikon ME5 Optical Microscope.
Findings: The results showed that the addition of 1% nickel in the aluminium cast product
could affect the morphology in granular shape with as similar size, at 2% nickel addition also
has granular shape, while at 3% of nickel addition, the morphology of Al-Ni was in elongated
shape. Phase identification of Al-Ni cast alloy shows that there were Al matrix with nickel
that spread in grain boundary of Al. By increasing the percentage of nickel, it shows that
the nickel dominated the grain boundary of Al. These results shows that Al-Ni alloy can be
produced at simple route on sand casting process.
Research limitations/implications: Sand casting process with 80% silica sand, 10%
bentonite, 5% water. Raw material of aluminium contains of 92-99% of purity. Nickel as
addition element contain of 90-92% purity.
Practical implications: The addition of nickel should be prepared wisely in term of
the calculation of alloying treatment because it will effect the mechanical properties of Al
alloy itself. This research can be improved by varying the temperature of casting process,
variation of nickel percentage, and observation of mechanical properties of Al-Ni alloy.
Originality/value: Simple route of making Al-Ni alloy using sand casting method in laboratory
and also the observation of nickel addition in aluminium matrix as the result of casting product.
Determination of the best microstructure
and titanium alloy powders properties
using neural network
Authors: Duriagina Z.A. , Tkachenko R.O. , Trostianchyn A.M. , Lemishka I.A. , Kovalchuk A.M. , Kulyk V.V. , Kovbasyuk T.M.
Published: May 2018

Purpose: Create a software product using a probabilistic neural network (PNN) and
database based on experimental research of titanium alloys to definition of the best
microstructure and properties of aerospace components.
Design/methodology/approach: The database creation process for artificial neural
network training was preceded by the investigation of the granulometric composition of
the titanium powder alloys, study of microstructure, phase composition and evaluation of
micromechanical properties of these alloys by the method of material plasticity estimation in
the conditions of hard pyramidal indenters application. A granulometric analysis was done
using a special complex of materials science for the images analysis ImageJ. Metallographic
investigations of the powder structure morphology were carried out on the scanning
electron microscope EVO 40XVP. Specimens for micromechanical testing were obtained
by overlaying the titanium alloy powders on the substrate made of the material close to
chemical composition. Substrates were prepared by pressing the powder mixture under the
load of 400 MPa and following sintering at 1300°C for 1 hour. Overlaying was performed by
an electron gun ELA-6 (beam current – 16 mA).
Findings: According to the modelling results, a threshold of the PNN accuracy was
established to be over 80%. A high level of experimental data reproduction allows us a full or
partial replacement of a number of experimental investigations by neural network modelling,
noticeably decreasing, in this case, the cost of the material creation possessing the preset
properties with preserved quality. It is expected that this software can be used for solving
other problems in materials science too.
Research limitations/implications: The accuracy of the PNN algorithm depends on the
number of input parameters obtained experimentally and forms a database for the training
of the system. For our case, the amount of input data is limited.
Practical implications: Previously trained system based on the PNN algorithm will
reduce the number of experiments that significantly reduce costs and time to study.
Originality/value: A software product on the basis of the PNN network was developed.
The training sample was built based on a series of laboratory studies granulometric
composition of the titanium powder alloys, study of microstructure, phase composition and
evaluation of micromechanical properties of powder materials. The proposed approach
allows us to determine the best properties of the investigated material for the design of
aerospace components.
Multiresidue Method of Analysis of Pesticides in Medical Cannabis
Authors: Moulins Jonathan R , Blais Michel , Montsion Kim , Tully Josee , Mohan William , Gagnon Mathieu , McRitchie Tyler , Kwong Keri , Snider Neil , Blais David R
Published: May 2018

Three related analytical methods were developed and validated for the determination of pesticides in cannabis leaves, dried cannabis flowers, and cannabis oil. The methods follow the generic sequence of an acetonitrile extraction, followed by solid-phase extraction cleanup and analysis by HPLC-tandem mass spectrometry (HPLC-MS/MS), GC-MS/MS, and GC-MS. These methods were developed to accommodate sample quantity and lipid content of the different matrices. Validation at a spiking level of 0.01 μg/g was successful for 39 pesticides in cannabis leaves and 40 pesticides in cannabis oil, and at 0.02 μg/g for 32 pesticides in cannabis flowers, with the majority of analytes showing recoveries within the acceptable range of 70–130%. With these methods established, unannounced inspections of Canadian licensed producers of cannabis revealed that out of 144 samples collected, 26 showed the presence of unauthorized pest control products.
Simultaneous Detection of Yersinia Enterocolitica and Listeria Monocytogenes in Foodstuffs by Capillary Electrophoresis and Microchip Capillary Electrophoresis Laser-Induced Fluorescence Detector
Authors: Li Yongru , Su Hongwei , Lan Yajia
Published: May 2018

Background: Food safety is one of the most important public health problems in the world, and pathogenic bacterium is a major factor causing serious foodborne diseases. Objective: Two methods of duplex PCR combined with capillary electrophoresis laser-induced fluorescence detector (CE-LIF) and microchip capillary electrophoresis laser-induced fluorescence detector (MCE-LIF) have been developed for the simultaneous detection of Yersinia Enterocolitica and Listeria Monocytogenes in various foods. The specific conservative sequences of these two bacteria were amplified. Methods: After labelled with nucleic acid dye SYBR Gold and SYBR Orange, the PCR products were analyzed by CE-LIF and MCE-LIF, respectively. Under the optimal conditions, the detection of PCR products of the target bacteria was achieved in less than 15 min by CE-LIF and within 6 min by MCE-LIF. Results: The alignment analysis demonstrated that the PCR products had good agreement with the sequences published in GenBank. The CE-LIF method could detect 10 CFU/mL Y. enterocolitica and L. monocytogenes, and the MCE-LIF method could detect 100 CFU/mL Y. enterocolitica and L. monocytogenes. The intraday precisions of migration time and peak area of DNA markers and PCR products were in the range of 1.13 to 1.18% and 1.60 to 6.29%, respectively, for CE-LIF and 1.18 to 1.48% and 2.85 to 4.06%, respectively, for MCE-LIF. Conclusions: The proposed methods could be applied to target bacterial detection infood samples rapidly, sensitively, and specifically. Highlights: Two new methods based on CE and MCE have been developed for the simultaneous detection of Y. enterocolitica and L. monocytogenes in foodstuffs, and they can detect the bacteria directly without any enrichment because of their high sensitivity.