bluuebunny/crossref_metadata_2025 huggingface dataset:
Preoperative Templating and Biomechanics in Total Hip Arthroplasty
Authors: Schmalzried Thomas P
Published: January 2020

abstract

Preoperative templating is an essential ingrethent of a successful hip arthroplasty. The socket template is positioned first to establish the center of rotation of the reconstruction. For femoral templating, a surgeon should not only consider the part inside the bone (the size of the component), but should also consider the part outside the bone, which determines limb length and biomechanics! parameters such as the abductor muscle and ioint reaction forces. Medializing the hip center of rotation and increasing the horizontal femoral offset can improve clinical outcomes and reduce polyethylene wear. Modern modular systems allow limb length adjustment and biomechanical improvement for a range of patients.
The Technique of Cemented Total Hip Replacement
Authors: Dalury David F
Published: January 2020

abstract

Cement fixation has a 30-year history in total hip arthroplasty. Cement fixation is a durable and reproducible means of fixation in a variety of hips. A key determinant to a cement mantle's longevity is the technique of cementing. This article reviews what has been learned in the past and outlines the state of the art in cement technique today.
Optimizing the Femoral Component Cement Mantle in Total Hip Arthroplasty
Authors: Dennis Douglas A , Lynch Christopher B
Published: January 2020

abstract

Aseptic loosening is a common cause of long-term failure of cemented femoral components in hip arthroplasty. Initiation of aseptic loosening has been associated with suboptimal cement mantle thickness and uniformity with the resultant progressive development of detrimental cement mantle defects. Long-term success is highly dependent on maintaining and protecting the integrity of the cement mantle and its interfaces primarily by decreasing cement mantle stresses. High cement stresses that initiate debonding and cement fracture can be controlled and minimized through the use of various surgical techniques that assist in creating an optimally thick, symmetric, and homogeneous cement mantle.
Assessment of Microbial Quality of seasoning Salad in Jeddah city
Authors: Ibraheem Ismail Shabbaje Ibraheem Ismail Shabbaje
Published: January 2020

This research was conducted to follow up the microbial contamination samples of some seasoning salad samples collected twice monthly for three months from twelve locations representing six districts in Jeddah. It was found that the counts of microbial groups (total viable bacteria, total coliform, fecal coliform, Salmonella and Staphylococcus) in the sample taken at rush hours were higher than those collected at calm time of selling. Also the highest means of all studied microbial groups were found in the samples taken from traditional locations at calm time of selling. The highest mean of total viable bacterial count (169600 cfu/gm) was found in the samples of Mashrafa District in the first sampling month. Whereas, the highest means of total coliform group (80866 cfu/gm) and fecal coliform group (28633 cfu/gm) were found in the samples taken from traditional locations in Guesa at the first sampling month and in Al-Rwaubi district at the second sampling month, respectively. On the other hand, Samples' means of from traditional locations taken from Al-Rehab district at the third month of sampling (35500 cfu/gm) and from the same district at the second sampling month (25000 cfu/gm) represented Salmonella and staphylococcus groups, respectively. It is recommended to take care about purchasing of ready to eat food and the direct eating or cold preservation until using to avoid food infection or poisoning.
The STRIVE Initiative: A Resident-Led Mentorship Framework for Underrepresented Minority Medical Students
Authors: Youmans Quentin R. , Adrissi Jennifer A. , Akhetuamhen Adesuwa , Gates Khalilah L. , Didwania Aashish K. , Wayne Diane B. , Suleiman Linda I.
Published: January 2020

Background

Underrepresented minority (URM) trainees face unique challenges in academic medicine. Near-peer mentorship is an under-described method to support URM trainees.

Objective

We created and evaluated the Student to Resident Institutional Vehicle for Excellence (STRIVE) program in a large urban medical school and associated residency programs.

Methods

All URM residents were invited to participate in the STRIVE mentorship program consisting of 3 pillars of programming: medical school curriculum review sessions, panel discussions, and social events for medical students. The program was evaluated through participation rates and a 7-item survey delivered in May 2019 after 3 years of implementation.

Results

The STRIVE initiative conducted 25 events. Thirty-five of 151 eligible (23%) URM residents participated as mentors for an average of 50 of 110 eligible (45%) URM medical students annually. Resident mentors participated for an average of 3 to 4 hours each year. Twenty of 32 eligible resident mentors (63%) completed the survey. Ninety-five percent (19 of 20) of survey respondents agreed that STRIVE made them a better mentor; 90% (18 of 20) reported that they would have appreciated an equivalent program during their medical school training; and 75% (15 of 20) agreed that the program helped them address the challenges of underrepresentation in medicine.

Conclusions

Over a 3-year period, STRIVE required a modest amount of resident time and was valued by the URM residents and medical students who participated in the program.
On Language, Gender and Sex
Authors: Gligorić Igor Marko
Published: January 2020

Review of the "Rodni jezici: Zbornik radova o jeziku, rodu i spolu".
Spol in jezik na robu pameti: Med slovnico in ideologijo
Authors: Šorli Mojca
Published: January 2020

Pričujoče besedilo je povzemanje in analiza javne razprave, do katere je prišlo po sprejetju 41. sklepa Senata Filozofske fakultete Univerze v Ljubljani z dne 25. aprila 2018 o novi spolni dikciji v fakultetnih pravilnikih in ki je nato ob zanimanju medijev potekala več mesecev, vrhunec pa dosegla pred približno enim letom, 23. oktobra 2018, na Okrogli mizi Jezik in spol na Filozofski fakulteti UL. Obenem je ob ponovnem vrednotenju izraženih stališč z nekoliko časovne distance prispevek poskus nadaljevanja razprave o spolnih kategorijah in ospoljenih identitetah ter androcentričnosti v jeziku. Poleg osvetlitve teoretskega ozadja, ki je (ali bi moralo biti) gonilo razprave, smo opravili tudi preprosto statistično analizo odzivov glede na zastopanost v medijih in zastopanost po spolu. V kvalitativnem delu analize nas je zanimalo predvsem, katere strokovne in ideološke (navidezne) opozicije so napajale posamezne  retorike in diskurze, ki so obarvali razpravo.
Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China
Authors: Han Han , Liu Jane , Shu Lei , Wang Tijian , Yuan Huiling
Published: January 2020

Abstract. Ozone pollution in China is influenced by meteorological processes on
multiple scales. Using regression analysis and weather classification, we
statistically assess the impacts of local and synoptic meteorology on daily
variability in surface ozone in eastern China in summer during 2013–2018. In
this period, summertime surface ozone in eastern China (20–42∘ N, 110–130∘ E) is among the highest in the world, with regional means of 73.1
and 114.7 µg m−3, respectively, in daily mean and daily maximum
8 h average. Through developing a multiple linear regression (MLR) model
driven by local and synoptic weather factors, we establish a quantitative
linkage between the daily mean ozone concentrations and meteorology in the
study region. The meteorology described by the MLR can explain
∼43 % of the daily variability in summertime surface ozone
across eastern China. Among local meteorological factors, relative humidity
is the most influential variable in the center and south of eastern China,
including the Yangtze River Delta and the Pearl River Delta regions, while
temperature is the most influential variable in the north, covering the
Beijing–Tianjin–Hebei region. To further examine the synoptic influence of
weather conditions explicitly, six predominant synoptic weather patterns
(SWPs) over eastern China in summer are objectively identified using the
self-organizing map clustering technique. The six SWPs are formed under the
integral influence of the East Asian summer monsoon, the western Pacific
subtropical high, the Meiyu front, and the typhoon activities. On average,
regionally, two SWPs bring about positive ozone anomalies (1.1 µg m−3
or 1.7 % and 2.7 µg m−3 or 4.6 %), when eastern China is under a weak cyclone system or under the prevailing
southerly wind. The impact of SWPs on the daily variability in surface ozone
varies largely within eastern China. The maximum impact can reach ±8 µg m−3 or ±16 % of the daily mean in some areas. A combination of the regression and the clustering approaches suggests a strong performance of the MLR in predicting the sensitivity of surface ozone in eastern China to the variation of synoptic weather. Our assessment highlights the importance of meteorology in modulating ozone pollution over China.
A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
Authors: Wandji Nyamsi William , Lipponen Antti , Sanchez–Lorenzo Arturo , Wild Martin , Arola Antti
Published: January 2020

Abstract. A novel method has been developed to estimate aerosol optical depth (AOD) from sunshine duration (SD) measurements under cloud-free conditions. It is a physically-based method serving for the reconstruction of the historical evolution of AOD during the last century. In addition to sunshine duration data, it requires daily water vapor and ozone products as inputs taken from the ECMWF twentieth century reanalysis ERA-20C, available at global scale over the period 1900–2010. Surface synoptic cloud observations are used to identify cloud-free days. For sixteen sites over Europe, the accuracy of the estimated daily AOD, and its seasonal variability, is similar or better than those from two earlier methods when compared to AErosol RObotic NETwork measurements. In addition, it also improves the detection of the signal from massive aerosol events such as important volcanic eruptions (e.g., Arenal and Fernandina Island in 1968, Chichón in 1982 and Pinatubo in 1992). Finally, the reconstructed AOD time series are in good agreement with the dimming/brightening phenomenon and also provides preliminary evidence of the early-brightening phenomenon.
Effect of tip spacing, thrust coefficient and turbine spacing in multi-rotor wind turbines and farms
Authors: Ghaisas Niranjan S. , Ghate Aditya S. , Lele Sanjiva K.
Published: January 2020

Abstract. Large eddy simulations (LESs) are performed to study the wakes of a multi-rotor wind turbine configuration comprising four identical rotors mounted on a single tower. The multi-rotor turbine wakes are compared to the wake of a conventional turbine comprising a single rotor per tower with the same frontal area, hub height and thrust coefficient. The multi-rotor turbine wakes are found to recover faster, while the turbulence intensity in the wake is smaller, compared to the wake of the conventional turbine. The differences with the wake of a conventional turbine increase as the spacing between the tips of the rotors in the multi-rotor configuration increases. The differences are also sensitive to the thrust coefficients used for all rotors, with more pronounced differences for larger thrust coefficients. The interaction between multiple multi-rotor turbines is contrasted with that between multiple single-rotor turbines by considering wind farms with five turbine units aligned perfectly with each other and with the wind direction. Similar to the isolated turbine results, multi-rotor wind farms show smaller wake losses and smaller turbulence intensity compared to wind farms comprised of conventional single-rotor turbines. The benefits of multi-rotor wind farms over single-rotor wind farms increase with increasing tip spacing, irrespective of the axial spacing and thrust coefficient. The mean velocity profiles and relative powers of turbines obtained from the LES results are predicted reasonably accurately by an analytical model assuming Gaussian radial profiles of the velocity deficits and a hybrid linear-quadratic model for the merging of wakes. These results show that a larger power density can be achieved without significantly increased fatigue loads by using multi-rotor turbines instead of conventional, single-rotor turbines.
The Impact of Integrated Reporting on Analysts’ Forecasts
Authors: Bakker Romy , Georgakopoulos Georgios , Sotiropoulou Virginia - Athanasia , Tountas Kanellos S.
Published: January 2020

Shareholders are very interested in the relationship between Integrated Reporting and analyst forecast accuracy. Integrated Reporting is deemed to reduce information asymmetry between the company and shareholders. The purpose of this paper is to provide evidence on the relationship between Integrated Reporting and analyst forecast accuracy. Analyst forecast accuracy is examined for a global sample of companies that adopted Integrated Reporting, companies that get assurance on Integrated Reporting, companies that receive assurance on their integrated reports by one of the Big 4, and for a south african sample, companies that are mandated to use Integrated Reporting. Information for analysts’ forecasts is retrieved from the I/B/E/S database and information for Integrated Reporting is retrieved from the GRI Sustainability Disclosure Database. We do not find a significant impact of Integrated Reporting on analyst forecast errors. Similarly, attestation of the reports by bigger or smaller audit firms does not seem to affect analysts’ forecast accuracy. In South Africa however, a positive impact on analysts’ forecast accuracy is observed suggesting that the effect of mandatory integrated disclosures is important for analysts’ forecasts.
The Effect of Agility Training on Reaction Time in Fencers
Authors: Turna Bulent
Published: January 2020

The aim of this study was to investigate the effects of agility training on reaction time in fencers. Accordingly, 48 athletes (24 females and 24 males) actively involved in fencing participated in the study. Fencers were divided into two groups as 24 fencers in the Agility Training Group (ATG: 12F, 12M) (aged 11.95 years, sports age 2.54 years, height 159 cm, body weight 48.08 kg and body mass index 18.81 kg/m²) and Conventional Training Group (CTG: 12F, 12M) (aged 12.12 years, sports age 2.20 years, height 156.54 cm, body weight 46.25 kg and body mass index 18.81 kg/m²). There was a statistically significant difference between the pre-test and post-test values in agility, vertical jump, simple reaction time and multiple reaction time tests in the ATG (p<0.05). There was a statistically significant difference between the pre-test and post-test values in agility and vertical jump tests in the CTG (p<0.05). There was a statistically significant difference in the pre-tests between the groups in the simple reaction time test (p<0.05). There was a statistically significant difference in post-tests between the groups in the agility, simple reaction time and multiple reaction time test values (p<0.05). Based on the results of the study, it was found that simple and multiple reaction time could be positively affected by active-reactive agility training applications.
Effects of Resistance Exercises on Body Composition and Some Biochemical Parameters
Authors: Akbulut Taner
Published: January 2020

Exercise has many positive effects on the human organism. In this study, the effects of resistance exercise program, which is applied regularly for eight weeks, were investigated on body composition and some biochemical values. Twenty-four male volunteers participated in the study group. The participants were randomly divided into two equal groups: control and resistance exercise groups. While the participants in the control group attended only practice lessons in the faculty, the exercise group participated in the resistance exercise program 2 days a week for eight weeks in addition to the practice lessons. Body compositions of the participants were measured before and after the program and blood samples were taken. Thus, body weight, body fat percentage, mass body fat, Body mass index (BMI), AST, ALT, GGT, cholesterol, triglyceride, HDL, LDL and VLDL cholesterol levels of the participants were determined. The data obtained were analyzed using SPSS software. As a result of statistical analysis; there was difference only GGT value of the control group (p<0.05). In the exercise group, body weight, body fat percentage, mass body fat, BMI, AST, ALT, GGT values ​​were found to be significant differences (p<0.05). In conclusion, it was determined that resistance exercise program applied for eight weeks had significant effects on body composition and liver enzymes. However, although there are some minor changes in blood lipids, these changes are not statistically significant. It can be said that resistance exercises can be beneficial on liver enzymes and body composition but eight weeks resistance training may not be enough to change the blood lipid profile.
Assurance oblige!
Authors: Tromp J.M.
Published: January 2020

Assurance oblige!

Als jonge kinderen ernstig en blijvend letsel oplopen, lijdt het hele gezin schade. Herstelgericht schaderegelen is dan aan de orde. Daar ligt een taak voor verzekeraars, met name ten aanzien van de zorgschade. Een voorbeeld zal worden uitgewerkt. Praktische problemen genoeg. Een nieuw dilemma dient zich aan: regelen of openhouden?
Ethical guidelines for mediators – the Austrian status quo
Authors: Grill Anne-Karin
Published: January 2020

Ethical guidelines for mediators – the Austrian status quo

The Austrian mediation landscape is quite inhomogeneous, with no universally applicable framework in place to safeguard best practice standards in mediation. Any commitment of mediators to codes of conduct or ethical guidelines occurs on an entirely voluntary basis. Control mechanisms exist in the form of complaint bodies instituted at the level of Austrian mediation associations.
Å tenke med havet: Et maritimt perspektiv på jernalderlandskapet mellom Buksnesfjorden og Borg på Vestvågøy i Lofoten
Authors: Fredriksen Caroline
Published: January 2020

The sea as a point of view: A maritime approach to the Iron Age landscape in Vestvågøy, Norway.  Vestvågøy, an island in the Lofoten archipelago, is well known in Scandinavian archaeology due to two massive Iron Age buildings at the Borg farm. Borg has been a popular subject for Iron Age research. Research has mainly focused on agricultural aspects of the Iron Age society on Vestvågøy. Nevertheless, a large number of Iron Age graves are located on islets and headlands. These are not often considered in earlier contributions. In this paper, I explore how a maritime perspective can contribute to a new understanding of Iron Age Vestvågøy. The main premise is that the presence of the sea affects how people structure their landscapes. I view the Iron Age sites and the landscape from the sea: the main transport route in prehistoric coastal Norway. Although interpreted as a central place, Borg is located by a hidden bay north on the island, excluded from maritime communication lines. While some researchers suggest that the Buksnesfjord area was the location for another central place, the layout of the Buksnesfjord area differs from Borg. Through a GIS-based quantitative spatial study of Iron Age graves, I outline an alternative view of the Iron Age landscape.
Norsk Arkeologisk Selskaps vårtur til Sør-England 10. – 15. mai 2018
Authors: Meling Lars
Published: January 2020

Turreferat for NAS vårtur til Sør-Englang 2018.
Vikingskipene
Authors: Marstrander Lyder
Published: January 2020

En kommentar fra Preses i Norsk Arkeologisk Selskap om vikingeskipene.
Análise da estrutura da rede de frames da FrameNet Brasil
Authors: Bóbó Míria , Stroele Victor , Matos Ely Edison da Silva , Braga Regina , Campos Fernanda , David José Maria N. , Torrent Tiago Timponi
Published: January 2020

A FrameNet Brasil é um projeto de lexicografia computacional que tem como objetivo usar frames para a descrição de significados de palavras. Ela gera uma rede de frames que se ligam com relacionamentos específicos. O processo de criação ou atualização de um frame pode passar por mais de um especialista da Linguística, em momentos diferentes, o que pode gerar uma mudança na estrutura da rede que não reflete o modelo conceitual do projeto. O objetivo do trabalho é fazer uma análise da estrutura da rede de frames da FrameNet Brasil e identificar pontos críticos que possam refletir em violações de restrições do modelo conceitual da mesma. Os resultados encontrados foram analisados por um especialista daárea da Linguística e as suas considerações indicam que a solução proposta é viável no que se refereá análise da rede da FrameNet Brasil.
Análise de Comunidades de Suporte a Transtornos de Saúde Mental do Reddit
Authors: Silveira Bárbara , Da Silva Ana Paula Couto , Murai Fabricio
Published: January 2020

Nos últimos anos, redes sociais online ampliaram suas funcionalidades e objetivos. Inicialmente focadas em fomentar amizades, troca de imagens ou vídeos, passaram a conectar pessoas dispostas a trocar experiências relacionadasá problemas de saúde, como por exemplo, obesidade e depressão. Neste trabalho, caracterizamos os usuários de quatro comunidades do Reddit centradas na troca de experiências relacionadasá problemas de saúde mental, intituladas: Depression, SuicideWatch, Anxiety e Bipolar. O enfoque principal deste artigo é na análise (i) da atividade destes usuários, (ii) do suporte social oferecido por estas comunidades, e (iii) das experiências compartilhadas através de posts e comentários.
Combinando Análise Bibliométrica e Análise de Redes Sociais para a Avaliação de Grupos Acadêmicos
Authors: Caparelli Lucas Leal , Digiampietri Luciano Antonio
Published: January 2020

A caracterização e a avaliação de grupos de pesquisadores são atividades relevantes e complexas. Este artigo visa a caracterizar programas brasileiros de pós-graduação em Ciência da Computação de acordo com diferentes medidas bibliométricas e oriundas da análise de redes sociais. Para tal, tomouse como objeto de estudo a avaliação quadrienal dos programas feita pela CAPES, buscando identificar qual método de classificação é o mais indicado para esta tarefa. Utilizando algoritmos de aprendizado de máquina foi possível produzir um modelo de classificação destes programas alcançando acurácia de 86,15%.
Uma análise do fator cultural em tecnologias persuasivas: um estudo de caso da rede social Facebook
Authors: Do Nascimento Mateus L. , Ruas Pedro H. B. , Neves Otaviano , Zárate Luis H. , Nobre Cristiane N.
Published: January 2020

O Facebook é uma rede social usada por mais de um bilhão de usuários, e está presente em vários páıses tentando influenciar as pessoas a adotarem determinados comportamentos alvos. Este trabalho foi realizado visando entender a influência cultural na interação dos usuários no contexto das tecnologias persuasivas. Para isso foi realizado um estudo de caso sobre a utilização da rede social Facebook, comparando o Brasil com outros páıses, sendo os dados da utilização obtidos via questionários e analisados por métodos estatísticos. Concluiu-se que os usuários das culturas analisadas possuem comportamento semelhante na rede.
Um Método Baseado em Grafos para Predição da Utilidade de Opiniões sobre Produtos
Authors: De Sousa Rogério F. , Anchieta Rafael  T. , Nunes Maria  Das Graças V.
Published: January 2020

Este trabalho apresenta uma nova abordagem para predição da utilidade de opiniões. Usualmente, os trabalhos nessa área usam tabelas do tipo atributo-valor para agregar as caracterı́sticas que representam os textos avaliados. Neste trabalho, essa tarefa é modelada em forma de rede, considerando, dessa forma, as informações de relacionamento entre os objetos da rede (comentários, estrelas e palavras). Uma técnica de regularização de grafos é utilizada para extrair caracterı́sticas relevantes da estrutura do grafo, e, após isso, os comentários são classificados em duas classes: Útil ou Não Útil. Comparou-se a modelagem com um método baseado em lógica fuzzy e a modelagem apresentou resultados promissores, superando-o em 0,13 pontos na medida F1.
Identificação de predadores sexuais brasileiros por meio de análise de conversas realizadas na Internet
Authors: Dos Santos Leonardo Ferreira , Guedes Gustavo  Paiva
Published: January 2020

Nos dias de hoje, aplicações sociais representam uma dos principais ameaças a crianças e adolescentes na Internet. Dentre os diversos riscos existentes destaca-se a presença de predadores sexuais que buscam, entre os mais diversos fins, obter conteúdo pornográfico infantil, extorquir com finalidades financeiras e, em cenários mais graves, o abuso sexual. O presente trabalho tem como objetivo identificar predadores sexuais brasileiros por meio de Redes Neurais Convolucionais. Para atingir esse objetivo, são consideradas conversas provenientes de provas criminais disponibilizadas recentemente ao público. Resultados preliminares consolidam a metodologia apresentada como uma alternativa para tarefas de classificação binária de textos para a lı́ngua portuguesa.
Enriquecimento de Dados de Proveniência de Análises Filogenéticas com Dados do NCBI: uma Abordagem Prática
Authors: Tito Lucas S. , Ocaña Kary A. C. S. , De Oliveira Daniel
Published: January 2020

Esse artigo apresenta uma proposta de abordagem, chamada BioIntegrator, para integração e enriquecimento de bases de dados de proveniência de análises filogenéticas com metadados presentes em fontes externas. Tal abordagem visa oferecer maior capacidade analítica aos cientistas em suas tarefas diárias. Apesar de ser um trabalho em andamento, a abordagem proposta tem um potencial claro no que tange a análise e validação de resultados dos experimentos.
Deep Learning Application for Plant Classification on Unbalanced Training Set
Authors: Pereira Rafael S. , Porto Fabio
Published: January 2020

Deep learning models expect a reasonable amount of training in- stances to improve prediction quality. Moreover, in classification problems, the occurrence of an unbalanced distribution may lead to a biased model. In this paper, we investigate the problem of species classification from plant images, where some species have very few image samples. We explore reduced versions of imagenet Neural Network winners architecture to filter the space of candi- date matches, under a target accuracy level. We show through experimental results using real unbalanced plant image datasets that our approach can lead to classifications within the 5 best positions with high probability.
Recognizing pharmacovigilance named entities in Brazilian Portuguese with CoreNLP
Authors: Cunha Alexandre M. R. , Belloze Kele  T. , Guedes Gustavo  P.
Published: January 2020

Textual data sources may assist in the detection of adverse events not predicted for a particular drug. However, given the amount of information available in several sources, it is reasonable to adopt a computational approach to analyze these sources to search for adverse events. In this scenario, we created an extension of CoreNLP to process Brazilian Portuguese texts from pharma- covigilance area. We trained three natural language models: a Part-of-speech tagger, a parser and a Named Entity Recognizer. Preliminary results indicate success in generating a dependency tree for phrases in the pharmacovigilance area and in identifying pharmacovigilance named entities.
Um Framework de Big Data para Promoção da e-Ciência na Saúde
Authors: Galvão Adriana  Benício
Published: January 2020

Diante do contexto atual de crescente produção de dados e forte potencial de criação de valor na saúde por meio da exploração e análise de dados, este artigo apresenta um framework projetado com o objetivo de facilitar a implementação de software para análise de grande volume de dados e, desse modo, promover a e-ciência na saúde. O funcionamento geral do framework é apresentado e são mencionadas tecnologias para sua implementação. Contudo, vale ressaltar que, para ampla utilização do framework, são necessárias iniciativas de cooperação e compartilhamento de dados entre sistemas de saúde.
Digital Video Stabilization: Algorithms and Evaluation
Authors: Souza Marcos Roberto e , Pedrini Helio
Published: January 2020

Several devices have allowed the acquisition and editing ofvideos in various circumstances, such as digital cameras, smartphones and other mobile devices. However, the use ofcameras under adverse conditions usually results in non-precise motion and occurrence of shaking, which may compromise the stability of the obtained videos. To overcome such problem, digital stabiliza- tion aims to correct camera motion oscillations that occur in the acquisition process, particularly when the cameras are mobile and handled in adverse con- ditions, through software techniques, without the use of specific hardware, to enhance visual quality either with the intention of enhancing human percep- tion or improving final applications, such as detection and tracking of objects. This is important in order to avoid hardware cost and indispensable for videos already recorded. This work proposed three methods to perform digital video stabilization and two other techniques to evaluate video stabilization quality. 1.
Um jogo para ensinar Física: A Cinemática de forma lúdica no Ensino Médio
Authors: Santos Francisco Alan De O. , Fontes Neto Pedro A. , Dos Santos Alexandre B.
Published: January 2020

Este artigo tem como objetivo relatar o desenvolvimento de um protótipo tecnológico em formato de jogo para ser aplicado no Ensino de Física. Pretende-se aplicar o protótipo entre os alunos ingressantes no Ensino Médio, os quais geralmente apresentam grande defasagem de conteúdos de Cinemática. Ao ser desenvolvido o jogo educativo, espera-se a disponibilização de um produto gratuito para o público em geral.
Adventure’s Maker Community
Authors: Telles Joilson Oliveira , Do Nascimento Lara Mello , Pez William  Augusto , Kaieski Naira , Koppe Leonardo  Renner
Published: January 2020

Este artigo tem como objetivo apresentar o desenvolvimento de um aplicativo para dispositivos móveis para geração automatizada de aventuras de RPG de mesa com a opção de inserção de assuntos didáticos à trama. A proposta é utilizar a ferramenta tecnológica apenas para iniciar o jogo que contará com a presença fı́sica dos jogadores em um mesmo ambiente, favorecendo a socialização e a desvirtualização das relações humanas. O aplicativo desenvolvido possibilita além da geração automática de aventuras também o armazenamento e compartilhamento destas com outros usuários.
Acessibilidade e Identidade Digital: um estudo de caso acerca da adequação do portal institucional do Instituto Federal de Educação, Ciência e Tecnologia Catarinense
Authors: Chaves Jefferson , Salvador Yuri , Braz Jeliel , Piffer Marcio , Hostin Erick , Riegel Ivo
Published: January 2020

As orientações gerais e práticas na implementação de portais governamentais são baseadas em diversas padronizações. Assim, este trabalho visa apresentar um panorama da adoção de tais padrões via um estudo de caso e adequação do portal institucional do Instituto Federal de Educação, Ciência e Tecnologia Catarinense. Esses objetivos se dividiram em dois momentos: (a) re-implementar o sı́tio existente em consideração aos padrões de acessibilidade atuais, obedecendo os modelos preconizados, os Padrões web, a Lei de Acesso à Informação e o Decreto n o 5.296, de 2004 do Governo Federal e; (b) aprimorar a área administrativa da aplicação atendendo critérios de segurança e escala em aderência ao padrão do governo provendo acessibilidade e acesso ubı́quo.
Algoritmos FPT para reconhecer grafos bem cobertos
Authors: Araújo Rafael T. , Klein Sulamita , Sampaio Rudini
Published: January 2020

Dado um grafo G, sejam vc(G) e vc+(G) os tamanhos de uma cobertura mínima de vértices e de uma máxima cobertura minimal de vértices, respectivamente. Dizemos que G é bem coberto se vc(G) = vc+(G) (ou seja, todas as coberturas minimais são mínimas). É coNP-completo decidir se um grafo é bem coberto. Nesse artigo, obtemos algoritmos FPT de tempos O⇤ (2vc) e O⇤ (1.4656vc+) para decidir se um grafo é bem coberto, parametrizados por vc(G) e vc+(G), respectivamente, melhorando resultados de Boria et al. em 2015. Também obtemos algoritmo FPT parametrizado por ↵ (G) = n vc(G) em grafos d-degenerados, que inclui grafos com genus limitado (como grafos planares) e grafos com grau máximo limitado. Finalmente usamos a decomposição primeval para obter algoritmo linear para grafos P4-laden estendidos e grafos (q, q 4), que é FPT parametrizado por q, melhorando resultados de Klein et al. em 2013.
A b-continuidade de grafos com cintura alta⇤.
Authors: Ibiapina Allen , Silva Ana
Published: January 2020

Uma b-coloração de um grafo é uma coloração própria, tal que cada classe de cor possui um vértice que é vizinho de pelo menos um vértice das outras classes de cores. O b-espectro de G é o conjunto Sb(G) dos inteiros k tais que G tem uma b-coloraçao com k cores e b(G) = max Sb(G) é o número b-cromático de G. Um grafo é b-contínuo se Sb(G) = [ (G), b(G)] \ Z. É conhecida uma infinidade de grafos que não são b-contínuos. Também é sabido que grafos com cintura maior ou igual a 10 são b-contínuos. Neste artigo, mostramos que grafos com cintura pelo menos 8 são b-contínuos e que o bespectro de grafos com cintura pelo menos 7 contém os inteiros entre 2 (G) e b(G).
Practical aspects of `0-sampling algorithms
Authors: Lopes Juan P. A. , Oliveira Fabiano S. , Barbosa Valmir C.
Published: January 2020

The `0-sampling problem plays an important role in streaming graph algorithms. In this paper, we revisit a near-optimal `0-sampling algorithm, proposing a variant that allows proving a tighter upper bound for the probability of failure. We compare experimental results of both variants, providing empirical evidence of their applicability in real-case scenarios. The `0-sampling problem consists in sampling a nonzero coordinate from a dynamic vector a = (a1, . . . , an) with uniform probability. This vector is defined in a turnstile model, which consists of a stream of updates S = hs1, s2, . . . , sti on a (initially 0), where si = (ui, i) 2 { 1, . . . , n} ⇥ R for all 1  i  t, meaning an increment of i units to aui . It is desirable that such sample be produced in a single pass through the stream with sublinear space complexity. The challenge arises from the fact that, since i can be negative and hence some updates in the stream may cancel others, directly sampling the stream may lead to incorrect results.
The Hidden Binary Search Tree
Authors: Queiroz Saulo , Bauer Edimar
Published: January 2020

In this paper we review and enhance the Hidden Binary Search Tree (HBST) presented in [Queiroz 2017]. The HBST idea builds on the assumption an n-node self-balanced tree (e.g. AVL) requires to assure O(log2 n) worst-case search, namely, comparison between keys takes constant time. Therefore the size of each key in bits is fixed to B = O(log2 n) once n is determined, otherwise the O(1)-time comparison assumption does not hold. HBST generalizes the searchtree property such that the position of a node in the tree results from comparing its key against 'ideal' reference values associated to its ancestors. The first ideal values comes from the mid-point of the interval 0..2B. The strategy follows recursively such that the HBST height is bounded by O(B) regardless the input sequence of keys nor self-balancing procedures. In this paper we enhance the HBST to enable keys with arbitrary number of bits.
On Total and Edge-colouring of Proper Circular-arc Graphs
Authors: Bernardi João Pedro W. , De Almeida Sheila M. , Zatesko Leandro M.
Published: January 2020

Deciding if a graph is Δ-edge-colourable (resp. (Δ + 1)-total colourable), although it is an NP-complete problem for graphs in general, is polynomially solvable for interval graphs of odd (resp. even) maximum degree Δ. An interesting superclass of the proper interval graphs are the proper circular-arc graphs, for which we suspect that Δ-edge-colourability is linear-time decidable. This work presents sufficient conditions for Δ-edge-colourability, (Δ + 1)-total colourability, and (Δ+2)-total colourability of proper circular-arc graphs. Our proofs are constructive and yield polynomial-time algorithms.
Reconhecimento de Grafos Fino de Precedência
Authors: Bonomo Flavia , Oliveira Fabiano , Sampaio Jr Moysés , Szwarcfiter Jayme
Published: January 2020

The class of k-thin graphs have recently been introduced generalizing interval graphs. The complexity of the recognition of k-thin is open, even for fixed k 1. We introduce a subclass of the k-thin graphs, called precedence k-thin graphs, presenting an efficient recognition algorithm based on PQ trees.
Convexidade em Grafo Linha de Bipartido
Authors: Ponciano Vitor , Oliveira Romulo
Published: January 2020

For a nontrivial connected and simple graphs G= (V(G), E(G)), a set S E(G) is called edge geodetic set of G if every edge of G it’s in S or is contained in a geodesic joining some pair of edges in S. The edge geodetic number eds(G) of G is the minimum order of its edge geodetic sets. We prove that it is NP-complete to decide for a given bipartiti graphs G and a given integer k whether G has a edge geodetic set of cardinality at most k. A set M V(G) is called P3 set of G if all vertices of G have two neighbors in M. The P3 number of G is the minimum order of its P3 sets. We prove that it is NP-complete to decide for a given graphs G(diamond,odd-hole) free and a given integer k whether G has a P3 set of cardinality at most k.
Predicting Neonatal Condition at Birth through Ensemble Learning Methods in Pregnancy Care
Authors: Moreira Mário W. L. , Rodrigues Joel J. P. C. , Marcondes Guilherme A. B. , Venâncio Neto Augusto J. , Furtado Vasco
Published: January 2020

Prematurity represents the determinant cause of infant mortality. This serious public health problem is directly related to the assistance provided during pregnancy and childbirth. Hence, this paper proposes the use of leading machine learning techniques capable of supporting health experts in pattern recognition in the prediction of high-risk situations for the fetus. The proposed model creates an ensemble of nearest-neighbor classifiers using the random subspace algorithm, reaching an overall accuracy of 0.937 and area under the curve of 0.721, in predicting the Apgar score, and 0.829 and 0.669 in predicting if the newborn will be small for gestational age, respectively. These results show the model effectiveness in reducing severe pregnancy related-problems.
Using Deep Learning for Classification of Early Lung Nodules on Computed Tomography Images
Authors: Lima Lucas , Oliveira Marcelo
Published: January 2020

Lung cancer is the leading cause of cancer mortality, accounting for approximately 20% of all cancer-related deaths. Nevertheless, despite the development of new therapeutic agents and technologies, only 16% of lung cancer patients are diagnosed at early stages. Therefore, to diagnose in early stages, when the nodules are very small, is a complex task for specialists and presents some challenges. To assist the specialists, the main purpose of this work is to propose the use of Deep Learning to classify 25,200 small pulmonary nodules balanced with diameter 5-10mm. The result was of 0.992 (+/- 0.001) of area under ROC curve using 10-fold cross validation. The proposed method showed to be promising to assist the specialists in classification of small lung nodules.
An Automatic Patch-based Approach for HER-2 Scoring in Immunohistochemical Breast Cancer Images Using Color Features
Authors: Cordeiro Caroline Quadros , Ioshii Sergio Ossamu , Alves Jeovane Honório , De Oliveira Lucas Ferrari
Published: January 2020

Breast cancer (BC) is the most common cancer among women worldwide, approximately 20-25% of BCs are HER-2 positive. Analysis of HER-2 is fundamental to defining the appropriate therapy for patients with breast cancer. Inter-pathologist variability in the test results can affect diagnostic accuracy. The present study intends to propose an automatic scoring HER-2 algorithm. Based on color features, the technique is fully-automated and avoids segmentation, showing a concordance higher than 90% with a pathologist in the experiments realized.
Controle de Regimes de Dosagens e Ajuste de Parâmetros Farmacocinéticos
Authors: Ebertz Vitor F. , Carvalho Juliano V. , Goulart Rodrigo , Monticelli Cíntia O. , Linden Rafael
Published: January 2020

Este trabalho propõe um software para a previsão e registro de regimes de dosagens de substâncias terapêuticas, simulação de curvas de concentração e ajuste dos parâmetros farmacocinéticos de pacientes. A proposta desenvolvida utiliza dados de pacientes fornecidos por especialistas naárea. O software desenvolvido, gerencia dados de pacientes, simula o comportamento farmacocinético de um fármaco em um tratamento e aplica o método Bayesiano para individualização das dosagens de fármacos. Após testar a solução desenvolvida e compará-la com outros softwares já adotados por acadêmicos e profissionais da farmacologia, verificou-se que os resultados obtidos são promissores.
SmartOffice: Sala inteligente baseada numa arquitetura de sensores não intrusivos e técnicas de inteligência computacional
Authors: Maciel Hyuri , Aquino André
Published: January 2020

Informações sobre a ocupação de um ambiente são necessárias para implementar otimizações avançadas de eficiência energética. Neste sentido este trabalho apresenta um sistema de monitoramento e atuação para prédios inteligentes, detectando de forma não intrusiva se o ambiente se encontra ocupado ou não. O sistema é composto por uma rede de sensores sem fio de baixo custo, que monitoram dados de temperatura, umidade, luminosidade e a carga elétrica da sala além de atuar no controle da iluminação e temperatura do ambiente, é realizada uma análise dos dados para caracterizar o comportamento do ambiente. Por fim obtemos uma taxa de acerto de 99,8% na detecção do ambiente utilizando técnicas de classificação nos dados sensoreados.
Um Middleware para Sensores Virtuais Baseados em Localização no Contexto de Cidades Inteligentes
Authors: Menezes Alice , Figueiredo Carlos
Published: January 2020

As áreas urbanas estão crescendo ao longo dos anos, e este crescimento, em conjunto com a modernização das cidades, nos permite ter acesso aos dados heterogêneos que podem ser utilizados para a criação de novos serviços e utilização mais eficiente de recursos e infraestruturas já existentes. Com isto, diversas arquiteturas de plataformas para Cidades Inteligentes foram propostas com o objetivo de gerenciar um grande volume de dados e prover soluções para problemas urbanos. Neste sentido, este trabalho propõe um middleware para facilitar a extração de conhecimento dos dados gerados nas cidades, monitorando informações abstratas geradas a partir de dados de baixo nı́vel. Como prova de conceito, realizamos um estudo de caso com um grande volume de dados abertos de uma área urbana.
Uma abordagem para minimizar pontos de verificação inúteis em simulações otimistas distribuídas
Authors: Parizotto Ricardo , De Mello Braulio Adriano
Published: January 2020

Arquiteturas distribuídas para modelagem e simulação podem escalar a execução de modelos grandes e complexos. Essas arquiteturas freqüentemente utilizam estratégias de ponto de verificação para garantir a execução de componentes síncronos e assíncronos. No entanto, a evitação completa de pontos de verificação inúteis é impraticável e pode reduzir drasticamente o desempenho da simulação. Neste artigo, apresentamos um conjunto de métricas para identificar pontos de verificação inúteis em tempo de execução. Além disso, estendemos uma decisão probabilística que emprega nossas métricas propostas para criar apenas pontos de verificação com alta probabilidade de serem carregados por operações de reversão. O método identifica pontos de verificação inconsistentes com base nos padrões de comunicação e na granularidade dos eventos desde a última reversão. Os resultados mostraram que as métricas propostas permitem reduzir o número de pontos de verificação inúteis sem impactos negativos no desempenho da simulação e supera as estratégias probabilísticas tradicionais em termos de tempo de reversão.
Predição Just-In-Time de Defeitos em Software Utilizando Inteligência Artificial
Authors: Ramos Ismael Araújo , Amora Márcio André Baima
Published: January 2020

Durante o desenvolvimento ou modificação de um software, deve ser garantido que o produto final chegue ao usuário com a menor quantidade de erros possíveis. Métodos de predição de defeitos em software podem ser usados para isso. Neste artigo é apresentado um estudo utilizando, para a solução do problema de identificação de erros Just-In-Time (JIT), rede neural artificial (Artificial Neural Network - ANN) e árvore de decisão (Decision Tree - DT). As bases de dados utilizadas como treino, teste e validação neste trabalho foram as mesmas utilizadas e compiladas por [Kamei et al. 2013]. Os resultados obtidos, tanto com a ANN e com a DT são em média superiores aos trabalhos de [Kamei et al. 2013] e [Yang et al. 2017].
BPEL4PEOPLE Anti-Patterns: Discovering Authorization Constraint Anti-Patterns in Web Services
Authors: Holanda Henrique J. A. , Marques Carla K. de M. , Pinto Francisca Aparecida P. , Guéhéneuc Yann-Gae¨l
Published: January 2020

Despite the abundance of analysis techniques to discover antipatterns in BPEL, there is hardly any support for authorization constraint errors in web services orchestrated by BPEL4People. Most techniques simply abstract from people (human user interactions), while people dependencies can be the source of all kinds of errors. This paper focuses on the discovery authorization constraint anti-patterns in web services orchestrated by BPEL4People. We present an analysis approach that is expressed in terms of rule card, the wellknown, stable, adaptable, and effective model-checking techniques can be used to discover authorization constraint errors. Moreover, our approach enables a seamless integration of control-flow and authorization constraint verification.
Uma Proposta para o Desenvolvimento de Aplicações Orientada a Equipes Interdisciplinares
Authors: Coutinho Emanuel F. , Moreira Leonardo O. , Paillard Gabriel
Published: January 2020

Em geral, cursos mais técnicos tendem a ter uma grade curricular orientada a produção e tecnologias. Entretanto, devido à globalização e tratamento de fatores técnicos e humanos ao mesmo tempo, adequar essa realidade aos cursos técnicos se torna uma tarefa difícil. Atualmente, a interdisciplinaridade está ganhando espaço, juntando diferentes áreas para um propósito maior. O objetivo deste trabalho é apresentar uma proposta de pesquisa para a integração de equipes com diferentes perfis, focando no desenvolvimento de sistemas diversificados e no desenvolvimento de times interdisciplinares.