bluuebunny/crossref_metadata_2025 huggingface dataset:
Narrativas militares actuales sobre la Guerra del Pacífico, 1879-1883
Authors: Ríos Jerónimo
Published: May 2021

Este trabajo tiene como principal intención presentar narrativas y lecturas que, desde el alto estamento militar, se realizan actualmente en torno a la Guerra del Pacífico, acontecida entre 1879 y 1883. El objetivo es mostrar de qué modo Generales y altos mandos militares de los tres países implicados en el conflicto bélico relatan los acontecimientos sucedidos. De esta manera, los orígenes de la guerra, la inserción en el relato nacional, la configuración de las relaciones geopolíticas o los horizontes futuros son objeto de reflexión y análisis. Lo anterior, para mostrar de qué modo la guerra más importante en la configuración geopolítica de América Latina sigue muy presente tanto en el relato historiográfico como en el relato nacional.
Back to the Past: Segmentation with Infinite and Non-Volatile Memory
Authors: Laux Jr Lauri , Hexsel Roberto
Published: May 2021

The design of the current desktop/server operating systems is premised on the use of slow magnetic disks. Two recent developments, (i) RAM capacity nearing 264 bytes, and (ii) the introduction of non-volatile memory (NVRAM), provide an opportunity for a complete re-design of traditional Unix-like operating systems. We discuss some of the issues which support that proposition and oﬀer a few suggestions for areas that may beneﬁt from looking back at pioneering work. We then propose a segmented memory model for the MIPS processor.
SelfElastic: Combinando Elasticidade Reativa e Proativa para Aplicações de Alto Desempenho
Authors: Rodrigues Vinicius , Rostirolla Gustavo , Right Rodrigo , Costa Cristiano
Published: May 2021

A elasticidade em nuvem pode trazer benefícios para a área de Computação de Alto Desempenho, como uma melhor utilização de recursos e redução do tempo de execução de aplicações. As abordagens mais comuns utilizam elasticidade reativa baseada em thresholds ou elasticidade proativa, a qual pode ser muito custosa computacionalmente. Ambas apresentam pelo menos um problema relacionado à necessidade de experiência prévia do usuário, parametrizações prévias ou modelagem para conﬁgurações de cargas de trabalho e infraestruturas especíﬁcas. Neste contexto, este trabalho apresenta SelfElastic um modelo híbrido de elasticidade cuja a arquitetura possui um ciclo fechado de controle que adapta em tempo de execução os valores dos thresholds. Baseado em SelfElastic, foi construído um protótipo que apresentou resultados promissores em termos de tempo de execução e custo quando comparado à execuções não elásticas.
Efficient Unsupervised Distance Learning through Rank Correlation Measures on Heterogeneous Systems
Authors: Okada César , Pedronette Daniel Carlos
Published: May 2021

The huge growth of image collections have demanded methods capable of conducting effective and efﬁcient image searches. Among the most promising approaches, the Content-Based Image Retrieval (CBIR) systems have established as an alternative for automatically taking into account the visual information. Despite the important results achieved, retrieving relevant images (effectiveness) in minimal time (efﬁciency) remains a challenge task. Recently, unsupervised learning algorithms have been proposed to improve the effectiveness of CBIR systems by exploiting similarity and ranking information. Such algorithms does not require any user information, but often demand high computational efforts. On the other hand, parallel and heterogeneous approaches constitute a feasible solution for high performance computing. In this paper, we discuss a parallel and accelerated solution for computing the RL-Sim∗ Algorithm, a recently proposed unsupervised image re-ranking approach. The proposed algorithm uses the OpenCL standard, exploiting both CPU and GPU devives in an Accelerated Processing Unit (APU). The experimental evaluation demonstrated that signiﬁcant speedups were achieved when compared with the original approach.
Simulação de Arquiteturas de Hardware com Memórias Não-Voláteis
Authors: Palma Mauricio , Francesquini Emilio , Azevedo Rodolfo
Published: May 2021

As novas tecnologias de memórias não voláteis, conhecidas coletivamente como NVMs, prometem rivalizar com a DRAM na disputa pela escolha da tecnologia da memória principal. As NVMs possibilitam, por exemplo, a manipulação de dados persistentes sem o uso de cópias transientes das mesmas. Apesar disso as NVMs ainda não são capazes de oferecer um desempenho superior à DRAM. Levando isso em consideração, a conﬁguração onde se usa uma memória principal híbrida, composta da tradicional DRAM e de NVMs auxiliando na manipulação de dados persistentes, se torna uma solução interessante. Este artigo descreve um simulador que é capaz de simular um sistema onde a memória principal é composta por uma ou mais tecnologias distintas. Utilizamos o simulador para comparar a substituição total de DRAM por NVMs e mostramos que atualmente isso levaria à uma considerável perda de desempenho. Também descrevemos uma API que é capaz de fazer uso de NVM, focando no caso da memória híbrida, onde demonstramos as possibilidades que podem ser melhor exploradas.
A Fast and Scalable Manycore Implementation for an On-Demand Learning to Rank Method
Authors: F. e Freitas Mateus , De Sousa Daniel , Martins Wellington , Rosa Thierson , Silva Rodrigo , Gonçalves Marcos
Published: May 2021

Learning to rank (L2R) works by constructing a ranking model from training data so that, given unseen data (query), a somewhat similar ranking is produced. Almost all work in L2R focuses on ranking accuracy leaving performance and scalability overlooked. In this work we present a fast and scalable manycore (GPU) implementation for an on-demand L2R technique that builds ranking models on the ﬂy. Our experiments show that we are able to process a query (build a model and rank) in only a few milliseconds, achieving a speedup of 508x over a serial baseline and 4x over a parallel baseline for the best case. We extend the implementation to work with multiple GPUs, further increasing the speedup over the parallel baseline to approximately x16 when using 4 GPUs.
Impacto do Subsistema de Memória em Arquiteturas CPU e GPU
Authors: Serpa Matheus , Cruz Eduardo , Moreira Francis , Diener Matthias , Navaux Philipe
Published: May 2021

A variedade de arquiteturas e tipos de aplicações paralelas impõe um grande desaﬁo à desenvolvedores. A mesma aplicação pode ter um bom desempenho quando executada em uma arquitetura, porém um mal desempenho em outra arquitetura. Na maioria das situações, a adaptação do código fonte para a arquitetura é suﬁciente para solucionar tais problemas, embora demande tempo. Portanto, é importante um estudo detalhado sobre como uma aplicação se comporta em diferentes arquiteturas a ﬁm de otimizá-la para executar em uma variedade de arquiteturas com um bom desempenho. Os trabalhos relacionados nesta área, em sua maioria, focam em uma análise abrangendo o tempo de execução e energia. Outros trabalhos focam no comportamento do subsistema de memória em uma arquitetura especíﬁca, e propõe mecanismos ou alterações à arquitetura. Neste trabalho, é realizada uma investigação detalhada do impacto do subsistema de memória em diferentes arquiteturas, que é um dos aspectos mais importantes a serem considerados, utilizando o mesmo conjunto de aplicações. Neste estudo, foram realizados experimentos com as arquiteturas Ivy Bridge (CPU) e Kepler (GPU), e aplicações do conjunto de benchmarks SHOC. Desta forma, foi possível compreender o motivo de uma aplicação desempenhar bem em uma arquitetura e mal em outra.
Um Monitor de Consumo Energético para Computação em Nuvem na Ferramenta OpenNebula
Authors: Leiria Raul , Schepke Claudio , de Mello Aline , Griebler Daivan
Published: May 2021

Nuvens computacionais consomem grandes quantidades de energia elétrica, sendo responsáveis pela emissão de pelo menos 2% do dióxido de carbono mundial. Por outro lado, as ferramentas de gerenciamento de nuvens atuais não dispõem de recursos para monitorar o consumo energético de suas infraestruturas, bem como não oferecem informações sobre a demanda de energia elétrica, sendo este uma parte integrante do custo de manutenção da nuvem. Portanto, este artigo propõe um modelo de monitoramento energético para nuvens computacionais. Foi criado um addon denominado Monitor Energético (ME) para monitorar o consumo energético em data centers virtualizados, através de Kernel-based Virtual Machine e geridos por OpenNebula. Os experimentos foram realizados com a ferramenta Sysbench para o estresse proposital do ambiente de testes, aonde os resultados comprovaram o bom funcionamento da nossa ferramenta e que ela possui uma visualização intuitiva do monitoramento.
ILUCTUS: Uma Biblioteca para o Apoio ao Processamento Colaborativo de Dados
Authors: Eduardo Bretana Lucas , Schwendler Alana , Geraldo H. Cavalheiro Gerson
Published: May 2021

Evoluir grandes volumes de dados requer sítios com capacidade de processamento e armazenamento de informação. O processamento distribuído utiliza tecnologias que permitem o compartilhamento de recursos e custos de processamento, e necessitam de ferramentas que façam a comunicação entre aplicação e processamento. O Espaço de Tuplas é um modelo de programação concebido sobre essas tecnologias que foi retomado neste trabalho como uma alternativa para o desenvolvimento de aplicações em ambiente de nuvem. A biblioteca ILUCTUS é apresentada neste artigo, bem como um estudo dos custos de suas operações elementares e aplicações.
Compactação do Algoritmo de Comparação de Strings do Snort para o uso na Memória Compartilhada de GPUs
Authors: Bonifácio da Silva Júnior José , David Moreno Edward , Ferreira dos Santos Ricardo
Published: May 2021

A tarefa de comparar assinaturas de ataques com pacotes de redes em um Intrusion Detection System (IDS) consome bastante tempo de CPU. Para amenizar esse problema, tem-se tentado paralelizar o motor de comparação dos IDSs transferindo sua execução da CPU para a GPU. Este artigo mostra o processamento em paralelo dos dados no algoritmo de comparação de string Aho-Corasick e propõe compactar a Tabela de Transição de Estados desse algoritmo a fim de possibilitar o uso dele na memória compartilhada. A paralelização foi feita através da plataforma CUDA da NVIDIA e executada nas diversas memórias da GPU. O algoritmo AC foi compactado e executado na memória compartilhada, alcançando, em seu melhor resultado, um ganho de desempenho de 73% em relação às outras memórias da GPU e o algoritmo compactado chegou a ser 56 vezes mais rápido que sua versão serial. Com isso, pode-se perceber que o uso da compactação na memória compartilhada torna-se uma solução adequada para acelerar o processamento de IDSs que necessitem de agilidade na busca por padrões.
Implementação e Avaliação de Técnicas de Paralelização no Algoritmo de Hirschberg para Sistemas Multicore
Authors: João Jr. Mario , C. Sena Alexandre , E. F. Rebello Vinod
Published: May 2021

Descobrir a maior subsequência comum entre duas sequências em um tempo razoável é fundamental para solucionar diversos problemas. Para garantir que a solução ótima seja encontrada, algoritmos baseados em programação dinâmica são necessários. O algoritmo de Hirschberg possui complexidade linear de espaço, podendo ser usado para comparar sequências longas. Porém, devido a` sua complexidade quadrática de tempo, o uso do paralelismo é fundamental. Assim, o objetivo deste trabalho é implementar e avaliar técnicas de paralelismo para o algoritmo de Hirschberg que permitam a comparação de sequências de caracteres longas. Para alcançar este objetivo, três estratégias de paralelismos são implementadas e investigadas em cima de melhorias na versão sequencial do algoritmo. Os resultados mostram que é possível executar mais eficientemente o algoritmo de Hirschberg em máquinas multicore, especialmente para grandes cadeias de caracteres, sendo possível alcançar um desempenho até 33 vezes melhor do que a versão sequencial original.
Análise de Zonas Térmicas em Data Center Não-CRAC
Authors: Camillo Junior Ademir , C. Miers Charles , P. Koslovski Guilherme , A. Pillon Mauricio
Published: May 2021

A elevada concentração de equipamentos em Data Centers (DCs) é objeto de estudo para administradores, fabricantes (processadores, servidores e sistemas de refrigeração), entre outros. Dentre os desafios da área, destaca-se o melhoramento da eficiência energética destes ambientes. No contexto de DC, a Power Usage Effectiveness (PUE) é uma referência na mensuração da eficiência energética. Este trabalho apresenta a arquitetura MonTerDC, um sistema de monitoração de temperatura de DC baseado em sistemas de refrigeração não-CRAC. Como resultados, o trabalha apresenta o uso do MonTerDC na identificação de zonas térmicas indesejáveis (fora da norma). Com este mapeamento térmico em zonas, o administrador do DC pode aplicar práticas a` melhor distribuição física dos nós de computação e, consequentemente, reduzir a temperatura das zonas térmicas.
Analyzing and Estimating the Performance of Concurrent Kernels Execution on GPUs
Authors: Cruz Rommel , Drummond Lucia , Clua Esteban , Bentes Cristiana
Published: May 2021

GPUs have established a new baseline for power efficiency and computing power, delivering larger bandwidth and more computing units in each new generation. Modern GPUs support the concurrent execution of kernels to maximize resource utilization, allowing other kernels to better exploit idle resources. However, the decision on the simultaneous execution of different kernels is made by the hardware, and sometimes GPUs do not allow the execution of blocks from other kernels, even with the availability of resources. In this work, we present an in-depth study on the simultaneous execution of kernels on the GPU. We present the necessary conditions for executing kernels simultaneously, we define the factors that influence competition, and describe a model that can determine performance degradation. Finally, we validate the model using synthetic and real-world kernels with different computation and memory requirements.
Propostas de Otimização de uma Implementação do Algoritmo de Análise Diferencial de Potência
Authors: Bazo Rodrigo , Poleto Diego , Geraldo H. Cavalheiro Gerson , Soares Rafael
Published: May 2021

Ataques por canais laterais exploram vulnerabilidades de um sistema criptográfico por meio do monitoramento de grandezas físicas tais como consumo de energia e tempo de execução. Estes ataques exigem grande poder computacional por atuarem em uma grande quantidade de dados e por explorar diferentes variações do ataque durante a execução. Neste trabalho é apresentada uma implementação inicial de Análise Diferencial de Potência (DPA) e são propostos quatro modos de otimização a fim de explorar seu paralelismo e reduzir o tempo de execução. Os resultados obtidos em uma arquitetura multiprocessada mostram ganhos significativos de desempenho, reduzindo em até 3000 vezes o tempo de execução do algoritmo DPA.
Projeto e Avaliação de uma Arquitetura do Algoritmo de Clusterização K-means em VHDL e FPGA
Authors: Andrade Maciel Lucas , Alcântara Souza Matheus , Cota de Freitas Henrique
Published: May 2021

O crescimento constante no volume de bases de dados em variadas áreas de pesquisa tem demandado arquiteturas de computadores mais eficazes para a utilização de algoritmos de mineração de dados, de maneira a realizar análises eficientes dessas bases. Mais desempenho é necessário, e arquiteturas mais poderosas tendem a consumir mais energia, acrescentando desafios para os projetos de hardware de processadores. Dessa forma, o projeto de novas arquiteturas com eficiência energética se faz necessário. Este trabalho propõe o projeto e avaliação de uma arquitetura em VHDL e FPGA para o algoritmo de clusterização K-means, visando alto desempenho em arquiteturas heterogêneas. Os resultados mostram que a implementação proposta apresenta uma redução de 91% em relação número de ciclos executados por um processador Intel Xeon E5-2620, consumindo até 95% menos energia.
An Advance Resource Reservation Approach in a Cloud Database Environment
Authors: da S. Segalin Vinicius , F. Dorneles Carina , A. R. Dantas Mario
Published: May 2021

AA well-known challenge with long running time queries in database environments is how much time a query will take to execute. This prediction is relevant for several reasons. For instance, by knowing that a query will take longer to execute than desired, one resource reservation mechanism can be performed, which means reserving more resources in order to execute this query in a shorter time in a future request. In this research work, it is presented a proposal in which the use of an advance reservation mechanism in a cloud database environment, considering machine learning techniques, provides resource recommendation. The proposed model is presented, in addition to some experiments that evaluate benefits and the efficiency of this enhanced proposal.
Use of Mesenchymal Stem Cells in Pre-Clinical Models of Spinal Cord Injury
Authors: Guliyeva Gunel , A. Torres Guzman Ricardo , R. Avila Verduzco Francisco , O. Akinduro Oluwasen , Guerrero-Cazares Hugo , Suarez Meade Paola , J. Forte Antonio , Quinones-Hinojosa Alfredo , Sarabia-Estrada Rachel
Published: May 2021

Spinal Cord Injury (SCI) is a devastating disease that causes disruption of sensorimotor function below the site of injury. Current management is based on surgical decompression of the neural tissue and pharmacotherapy; however, there is no gold standard treatment readily available for patients in the clinic. This indicates that novel therapeutic strategies for the treatment are still needed in the clinical setting. There are several alternatives that are currently under investigation for the treatment of this disease, with increasing focus in regenerative medicine treatments. Mesenchymal stem cells (MSCs) are one of the most promising candidates for stem cell therapy in SCI, as they are easily obtained, have high safety profiles, and help with neural regeneration in SCI mainly via release of trophic factors, neovascularization, and immunomodulation. In this work, authors provide an insight of the available MSC for neural regeneration, their therapeutic role, and the potential MSC-based therapies for SCI.
Erosion Control Success Stories and Challenges in the Context of Sustainable Landscape Management, Rwanda Experience
Authors: Rutebuka Jules
Published: May 2021

The Government of Rwanda sets up a conducive policy environment to invest in several development initiatives. Agriculture sector as the main contributor in the economic development received supports to sustainably manage Rwandan hilly landscape, dominantly ranging from 5 to 55% slope gradient. Intensive erosion control interventions confronted with different approaches have been introduced in the country such as participatory landscape management, (participatory) integrated watershed management and site-located intervention without any specified approach. This chapter intends to describe and evaluate the impacts of these previous approaches used in Rwanda in order to retrieve the success stories and encountered challenges as lessons learnt in the future interventions for optimizing land productivity in a sustainable manner. Participatory landscape approach in Gishwati area was a success story in protecting degraded lands and generating ecosystem benefits. It leads to more sustainable natural resources management from participatory planning up to implementation which addressed the frequent landslides, erosion and flooding while sustainably exploit the land to the profit of local farmers in the livelihoods. About 6,600 ha of lands have been successfully protected with full-packaged bench terraces, rangeland blocks and forest regeneration. This participatory approach also helped to relocate people from high risk zones to other safe places and build capacities of farmers through farm-livestock cooperatives. On the other side, Nyanza and Karongi sites under LWH project also emphasized strong evidences how land husbandry technologies (terraces) efficiently reduced erosion risks and improved farmers’ livelihoods. Lands were made productive with implementation of bench terraces on 3212 and 2673 hectares respectively for the two selected sites. However, challenges were observed from technical and socio-economic contexts which might have caused farmers to abandon or under-exploit the terraced lands. Finally, the chapter suggests to scale up the participatory landscape management approach which supports the involvement of farmers’ communities in the process.
The effect of materialistic and nonmaterialistic motivational factors to employees' commitment to work
Authors: Isaković Suvad , Isaković Ajdin , Isaković Kanita
Published: May 2021

The success of each business relies on the employees' commitment to work, i.e., how and in which way employees perform their work. When consumers are offered the same or similar products produced by different companies and at different prices, and when the company's business result greatly depends on the quality of the work done, company management is more interested in securing its employees' full dedication to work. The generally accepted phrase "you get what you pay for" encouraged this research, whose purpose is to determine the strength of the relationship between materialistic and nonmaterialistic motivational factors to employees' commitment to work. This research starts with the assumption that materialistic factors of motivation are more important motivational factors for employees when compared to nonmaterialistic ones. Listed indicators of motivational factors represent independent variables, while the dependent variable represents the indicator 'work satisfaction', which determines the level of employees' commitment to work. The research had 147 participants who work in companies from different industries and different sizes. According to the Likert scale, a structured questionnaire was used to measure the employees' attitudes. Various methods for data processing in Statistical Package for the Social Sciences (SPSS) and Smart PLS3 program were used: Descriptive statistics of the sample (SPSS); Exploratory factor analysis - PCA analysis of principal components (SPSS): Factor analysis - a test of validity and confidence of the instruments (SmartPLS3); Bootstrapping analysis - testing of the hypothesis (SmartPLS3). The conducted research shows that nonmaterialistic motivational factors, including Interpersonal relations and advancement, statistically significantly influence satisfaction at work, i.e., employees' commitment to the work.
Clinical utility of rotational thromboelastometry in detecting hemostatic disorders
Authors: Sabljić Nikica , Mitrović Mirjana
Published: May 2021

Hemostasis represents an equilibrium between procoagulant and anticoagulant processes, but once this balance is shifted to one side, it leads to coagulopathy presented by pathological bleeding or thrombosis. Many conditions could cause coagulopathy. The most common are sepsis, severe traumas and malignancies. Widely used conventional coagulation tests (CCTs), focused only on clot initiation, are primary used to detect hypocoagulability. Viscoelastographic tests (VET), like rotational thromboelastometry (ROTEM), can detect problems in different stages of coagulation, from initiation thought clot elongation and propagation, to the clot lysis and might reveal both, hypercoagulability and hypocoagulability. Rotational thromboelastometry have gained popularity in the care of patients with TIC, as a tool to guide transfusion support. Nowadays it is widely used in other medical specialties, as well. Several studies in septic patients pointed out hypocoagulable ROTEM pattern as a predictor of poor prognosis. Additionally, there is great interest of ROTEM usage in malignancies, although limited research is currently available. It suggests ROTEM have the ability to identify a patient in high risk of thrombosis. Further investigation trough randomized studies is needed to confirm ROTEM utility and to help in making a consensus about its use in different medical occasions.
General practitioners' attitudes towards research in general medicine
Authors: Petrov-Kiurski Miloranka , Živanović Slavoljub
Published: May 2021

Introduction: General medicine is a specific scientific discipline and research is a constituting part of each medical discipline. Objective: We reviewed general physicians` (GPs) attitudes towards scientific research and their reasons for participating or not participating in them. Method: We made a specific questionnaire for the sake of this research. We got the data on age, gender, service periods, place of work (city/country), and specialty: GP or specialist in general medicine, as well as their opinions on research. We forwarded the questionnaire to 550 physicians' email addresses in November 2016. The acquired data were statistically processed using SPSS 20.0 for Windows. Results: The questionnaire was filled out by 233 physicians, of whom 83,3% were women, 67% specialists in general medicine, 68,7% physicians worked in city clinics; the average age of the participants was 46.46±10.29, the average service period 17.85±10.99 years. Out of the total number, 67.8% of the participants thought research was important and useful, even more so by specialists in general medicine, which was statistically significant (p=0.000). There were 71.2% of the physicians who already participated in the research projects, mostly working in the cities (p=0.008), physicians older than 50 (p=0.000), and physicians with service period >20 years (p=0,000). Physicians 30 or younger (p=0.017) and physicians with ≤ 10 years of service (p=0.002) thought research improved work quality. The most frequent reason for not participating in the research projects was lack of time due to a patient and administration overload. The most frequent reason for participating, for physicians with 11-20 and over 20 years of service, was improving work quality (p=0.007). Conclusion: Physicians think research is necessary and useful in general medicine and it improves work quality. The most frequent reason for not participating in the research projects was lack of time due to a patient and administration overload.
Research of impact of emotional motivators on consumer behavior
Authors: Virijević-Jovanović Saša , Jošanov-Vrgović Ivana , Janovac Tatjana
Published: May 2021

Regarding the importance of psychological processes in the consumer behavior, the article examines the influence of emotional motivators on purchase decisions in cosmetics industry. The empirical research was conducted from February to March 2020, on the sample of 125 respondents in Serbia. The participants answered the questions about the positive and negative emotions that occurred during the purchasing process. When defining the questionnaire, we started from the fact that emotions, which influence consumer behavior can be integral or incidental emotions. The aim of the study was to identify the emotions that have the strongest effect on consumers when purchasing cosmetic products. During the statistical data processing, the following techniques and methods were implemented: the descriptive statistical measures (frequencies and percentage, arithmetical midranges), the measures of variability, the correlation method. The survey indicated that the most dominant emotions that affect consumer purchasing decisions related to cosmetics products in the Republic of Serbia are positive emotions. The majority of respondents recognized hope as the most important emotion in their buying behavior.
La detección de altas capacidades por parte de los progenitores, ¿Es exacta su apreciación?[Is the Detection of High Capacities by Parents, is your Appreciation Accurate?]
Authors: Valadez Sierrra María de los Dolores , Betancourt Morejón Julián , Borges del Rosal África , Ortiz Coronel Emilia
Published: May 2021

ResumenLa detección del alumnado de altas capacidades es el primer paso para poder iniciar el proceso, dando paso posteriormente a un diagnóstico de altas capacidades y la propuesta de respuesta educativa adaptada a sus capacidades y necesidades. En el presente estudio se comparan mediante metodología cualitativa los criterios de los progenitores para considerar que su hijo o hija posee altas capacidades intelectuales, comparando las respuestas dadas por aquellos que creyeron que sus hijos tenían alta inteligencia (puntuación de CI igual o menor a 116) frente a los que la puntuación de inteligencia de sus hijos es superior a un CI de 130. Las respuestas se han analizado con el software ALCESTE, que analiza las co-ocurrencias por cercanía, mediante el estadístico Ji cuadrado. En ambos grupos se dan tres clases, con diferentes contenidos, coincidiendo ambos en la facilidad para resolver problemas o razonar, pero mientras en el primer grupo se basan en aspectos más relativos al entorno docente (detección por el profesorado o aburrimiento), los del grupo de mayor CI se basan en el conocimiento de su mayor puntuación y en la asistencia previa a programas para sobresalientes. Se concluye la importancia informar a la población de progenitores sobre indicadores contrastados de la existencia de altas capacidades.AbstractNomination of students with high abilities is the first step to be able to start the process, giving way later to a diag­nosis of high capacities and the proposal of educational response adapted to their capacities and needs. In the pre­sent study, the criteria of the parents are compared by qualitative methodology to consider that their son or daughter has high intellectual abilities, comparing the an­swers given by those who believed that their children had high intelligence (IQ score equal to or less than 116). against which the intelligence score of their children is higher than an IQ of 130. The answers have been analyzed with the software ALCESTE, which analyzes the co-oc­currences by proximity, using the statistic Ji square. In both groups, three classes are given, with different con­tents, both coinciding in the ease of solving problems or reasoning, but while in the first group they are based on aspects more related to the teaching environment (detec­tion by teachers or boredom), those of the group with the highest IQ are based on knowledge of their higher score and previous attendance at programs for outstanding. We conclude that it is important to inform the parent popula­tion about contrasting indicators of existence of high ca­pacities.
Multiobjective Design Optimization of an IACC Sailing Yacht by Means of CFD High-Fidelity Solvers
Authors: Peri Daniele , Mandolesi Fabrizio
Published: May 2021

Performance differences in box rule racing yachts, such as the International America’s Cup Class (IACC), have progressively decreased, and the gap between the winner and the loser is on the order of a percentage point. Numerical optimization techniques can help the design team by identifying the best course of action for improving the design. However, optimization techniques must fulfill two major requirements; reliability and efficiency. Reliability is obtained by applying edge class CFD solvers, like RANSE solvers. Efficiency is gained by utilizing popular algorithms for local optimization using Global Optimization (GO) techniques. In this context, two different multiobjective optimization problems are formulated and solved. The outcome of this optimization process is a suite of optimal solutions. In this way, the design team is not compelled to accept a single final solution, but will be able to evaluate the trade-off between the different alternatives, selecting the one that represents the best compromise among all the requirements.
The Effect of a Mass Height and Centre of Gravity on the Re-Righting of Sailing Yachts
Authors: Binns Jonathan R. , Jonathan Paul
Published: May 2021

The effects of mast height and centre of gravity on re-righting have been investigated experimentally using free and captive models. Free model motions were measured using six degree of freedom photogrammetry. Captive model forces were measured using a six component force balance. The results have shown that a relatively small increase in mast height has a much greater effect than the increase in limit of positive stability used in the experiments. It would appear from the results that the overriding factors influencing re-righting in these experiments are the mast height and the wave height and steepness.
Light Weight Sandwich Panels for Yacht Hull Structures
Authors: Rice M. C. , Fleischer C. A. , Cartie D. D. R. , Zupan Marc
Published: May 2021

Improving lightweight structures is a continuous challenge for yacht hull structural components. Sandwich beams consisting of strong face sheets and a low density core have gained application as weight efficient structures subjected to bending loads. The sandwich structure provides good stiffness by keeping the face sheets at a fixed distance with considerable weight reduction over a statically equivalent monolithic panel. New fabrication technologies now allow for hybrid sandwich structures, known as X-cor to be manufactured. X-cor panels consist of carbon fiber face sheets separated by a closed cell polymer foam core reinforced with carbon fiber or metallic (Titanium or Steel) pins. The pins are inserted into the light weight foam core in the out-of-plane direction and extend from face sheet to face sheet. Pin orientation and concentration can be varied providing a large design space for scientist and designer to explore and to improve material performance. The effect of core thickness, pin reinforcing and polymer foam core on the out-of-plane axial compression response of these panel will be presented. The through thickness three- point simply supported bending behavior of these reinforced panels is used to evaluate the core shear, stretch, face sheet failure characteristics of the structures. Explicit experimental observations are used to develop and calibrate analytical energy balance models to generate failure mode maps describing the panel collapse load as a function of geometry. Multi-scale effective modeling, blurring the distinction between structural and material behavior, will enable optimization of the X-cor sandwich structures in light of Yacht hull design requirements. The mechanical response of X-cor sandwich panels will be compared to current Yacht hull materials using material selection charts, and demonstrator components presented.
RANSE Calculation of Laminar-to-Turbulent Transition-Flow around Sailing Yacht Appendages
Authors: Böhm Christoph , Graf Kai
Published: May 2021

A new method to simulate laminar-turbulent transition has been used to study flow around sailing yacht appendages. Based on an empirical correlation, the method allows to predict transitional flow in a fully 3Denvironment using unstructured grids and massive parallelization. Reynolds number of the flow around the appendages of sailing yachts is of an order where transitional flow plays an important role. The method thus serves as a highly valuable tool for realistic optimisation of yacht appendages.

The paper describes briefly Menters γ-ReΘtransition-model and shows its validity for the given purpose. 2D-analysis of NACA-profiles has been chosen to validate the transition model. The resulting lift and drag coefficients from the RANSE calculations have been compared with experimental data and results from the 2Dboundary layer code XFoil, showing reasonable agreement. The method then has been used for a bulb length optimisation of an appendage configuration of an ORC GP42 level racer. Here the differences between a fully turbulent and a laminar turbulent optimisation are shown and discussed.
Analysis of Wave Making Resistance And Optimization of Canting Keel Bulbs
Authors: Hochkirch Karsten , Fassardi Claudio
Published: May 2021

In upwind sailing conditions, bulbs of canting keel sailboats operate close to the water surface and therefore induce non-negligible changes in the wave system, thus influencing the wave making resistance of a sailboat. The bulb could produce relatively positive as well as negative effects, and therefore its design is suitable for optimization. A case study for a modern 100-foot canting keel sailboat is presented. The design space was explored to determine the bulb shape that would produce favorable interference with the hull wave system, reducing the total resistance of the sailboat for an upwind sailing condition, using the Response Surface Optimization (RSO) methodology developed by the authors. In the 1,000 bulb variations that were performed using an advanced parametric modeler, the volume and location of the center of gravity of the bulb were fixed so that the stability of the sailboat was not altered and, therefore, the computed total resistance became a direct measure of merit of the bulb design. An outlook is given to a combined optimization of hull and bulb in order to gain optimum improvement.
Dynamic Lift Coefficients for Spade Rudders on Yachts
Authors: Miller Paul H.
Published: May 2021

The loss of a rudder is a dangerous situation for any vessel, and with the increasingly higher aspect ratios in current sailing yacht rudder designs, a better understanding of the forces on a rudder are required. While many failures have been caused by impacts with objects, a large number have failed due to underestimation of sailing loads. While larger aspect ratios increase the lift-to-drag ratio, they also increase the bending moment about the rudder’s root. Combined with thinner airfoil sections to reduce drag, modern rudders are highly stressed. Traditional design methods normally assume that the maximum lift coefficient is constant for all aspect ratios. This project combined computational fluid dynamics (CFD), finite element analysis (FEA) and the tank testing of a 1/5-scale yacht to determine suitable design lift coefficients for spade rudders of cruising and racing yachts. Two rudders of different aspect ratios were tested at various speeds, heel angles and wave conditions in the tank at the Naval Surface Warfare Center – Carderock Division. The rudders were equipped with strain gauges to determine the strains at various positions along the stock and blade. The strain profile was compared against FEA results that used a CFD prediction of the pressure profile. Through back-calculation the lift coefficients in still water and waves were derived. The results indicated that these lift coefficients are not constant.
Le rôle d’une communauté de pratique dans le renforcement de la capacité de résilience des organisations paysannes au Niger
Authors: Tahirou Younoussi Meda Adama , Hamadou Daouda Youssoufou , Naba Boukari Moctar
Published: May 2021

La manière dont la communauté de pratique intervient dans la résolution des problèmes rencontrés par les organisations est peu abordée. À travers une étude de cas, nous cherchons à comprendre son rôle dans la survie des organisations paysannes d’une zone vulnérable du nord-Niger. Les résultats montrent que la communauté de pratique, par ses caractéristiques d’échange des connaissances et expériences contribue fortement à la résilience des organisations paysannes en trois phases (anticipation, adaptation et créativité). Ce processus n’aurait pas été possible sans la mise en place des conditions favorables à l’apprentissage continu et aux initiatives innovantes des membres de la communauté.
Rediseño de la web en WordPress de Ràdio 90 implementando una PWA
Authors: Baca Garcia Xavier
Published: May 2021

Rediseño de la web de Ràdio 90 con un diseño centrado en el usuario y la implementación de una progressive web application (PWA). El objetivo es disponer de una interfaz con un buen nivel de usabilidad, atractiva, muy fácil de usar e intuitiva, acercando los podcasts y la emisión en directo a los oyentes.
Projecto X: A Journey Inside Ourselves and What We Found When We Arrived
Authors: Graça Jorge , Rodrigues Helena , Rodrigues Paulo Maria
Published: May 2021

This article analyses and reflects upon a community music project that occurred in 2016 in Portugal. It involved a community of people with disabilities and a group of artists from different fields. The project’s promotors aimed to create a space in which differences were abated, social well-being was nourished and individual desires were fostered. This article endeavours to understand how artistic performance may provide opportunities for empowering less advantaged people and how it might have been achieved during this project. The reflections present in this article are based on the current literature on community music and are informed by other similar analysis of these kinds of projects.
The article starts with a brief description of the project and then elaborates on the term ‘community music’ and its relationship to this project. The project made use of a mix between an art installation and an experimental instrument called Pianoscópio. This article describes this instrument in detail and analyses how it enabled the participants to express themselves to their fullest abilities. A characterisation of the participating community members follows, focusing on the core tenets of the association they were part of. After that, the article examines how the workshops took place and what transpired in the final performance, focusing specifically on the steps taken to accommodate the different disabilities of the participants. The article ends with a reflection upon these kinds of projects and the impact this one project might have had on its participants.
Contemporary Art as Democracy Education
Authors: Grøtting Inger Fure
Published: May 2021

According to Hannah Arendt, a free and public space is an essential condition for democracy. She presents this free and public space as a space between us, where different voices are expressed and are being heard (Arendt, 2012). In order to maintain a democratic social model, the school system needs to facilitate these open spaces where students can acquire knowledge, develop skills and values they need to become active democratic citizens, as well as giving practical training in exercising them. This article gives an insight on how these competences can be learned in an art museum through dialogue. The argumentation in the article relies upon the research of art mediation at Kunstnernes Hus. The research includes qualitative examinations of a specific case where high school-students encountered artworks by Vanessa Baird.
Exploring Situations Between Art and Pedagogy: The Dance Project Var Vrimmel as an Aesthetic Learning Process with Fourth Graders as Participants
Authors: Sortland Venke Marie , Gudbrandsen Ida
Published: May 2021

This article investigates aesthetic learning processes from the perspective of three dancers working in a school context. It is based on our own experiences from Var Vrimmel – a dance project carried out by the dance group Landing at a Norwegian primary school in 2019, where three dancers were “artists in residence” at a primary school for four weeks. We present three different formats, each with a different relationship between the dancers and the fourth graders participating in the project. Our intention is to outline, describe and discuss how our practice can facilitate aesthetic processes at the intersection between art and education. Our theoretical framework is based on John Dewey’s work, particularly his definition of aesthetic experience. Our aim is to contribute to understanding the notion of aesthetic learning processes and broaden perspectives on how artists could work in a school context and the roles they might have.
Renegotiating Aesthetic Disinterest for the Literature Classroom
Authors: Bjerke Mildrid
Published: May 2021

This paper discusses a dialectic between a so-called disinterested appreciation of literature and what I refer to as the ‘neoliberal ethos’. I am interested, primarily, in the influence of this dialectic on literary pedagogy. I will argue that the way in which the neoliberal ethos has permeated educational settings creates a need for a reconceptualised notion of aesthetic disinterest, without which we will struggle to coherently argue for alternative conceptions of the value of education, especially arts and humanities education. I hope to show that reviving the concept of disinterest will facilitate a renegotiation of the literature classroom as a space for genuine aesthetic experience and non-instrumental discussion.
Art in Education – Treasures Within and Treasures Between Us
Authors: Bjerke Mildrid , Knudsen Jan Sverre , Lundh Lise , Tronstad Ragnhild
Published: May 2021

This special issue of Nordic Journal of Arts and Research is a collection of articles based on selected papers presented at the conference Art in Education held at Oslo Metropolitan university in august 2019. Our goal with the conference was to create a widely based international venue for exploring the many ways in which art becomes meaningful and powerful through ways of teaching and arts promotion. A key intention was to include both artists, academics and teachers and to stimulate encounters that cross conventional disciplinary barriers. The two partners organizing the conference were Kulturtanken: Arts for Young Audiences Norway, and the Faculty of Education at Oslo Metropolitan University. The mobilisation of both the artistic and scholarly networks of these two organizations laid the grounds for three days of stimulating interaction, art experiences and discussions
VisTAS: blockchain-based visible and trusted remote authentication system
Authors: Ali Ahmad , Ahmed Mansoor , Khan Abid , Anjum Adeel , Ilyas Muhammad , Helfert Markus
Published: May 2021

The information security domain focuses on security needs at all levels in a computing environment in either the Internet of Things, Cloud Computing, Cloud of Things, or any other implementation. Data, devices, services, or applications and communication are required to be protected and provided by information security shields at all levels and in all working states. Remote authentication is required to perform different administrative operations in an information system, and Administrators have full access to the system and may pose insider threats. Superusers and administrators are the most trusted persons in an organisation. “Trust but verify” is an approach to have an eye on the superusers and administrators. Distributed ledger technology (Blockchain-based data storage) is an immutable data storage scheme and provides a built-in facility to share statistics among peers. Distributed ledgers are proposed to provide visible security and non-repudiation, which securely records administrators’ authentications requests. The presence of security, privacy, and accountability measures establish trust among its stakeholders. Securing information in an electronic data processing system is challenging, i.e., providing services and access control for the resources to only legitimate users. Authentication plays a vital role in systems’ security; therefore, authentication and identity management are the key subjects to provide information security services. The leading cause of information security breaches is the failure of identity management/authentication systems and insider threats. In this regard, visible security measures have more deterrence than other schemes. In this paper, an authentication scheme, “VisTAS,” has been introduced, which provides visible security and trusted authentication services to the tenants and keeps the records in the blockchain.