bluuebunny/crossref_metadata_2025 huggingface dataset:
EFEKTIVITAS MODEL PEMBELAJARAN KOMUNIKASI KESEHATAN BERBASIS PENDIDIKAN KARAKTER TERHADAP PENINGKATAN PRESTASI BELAJAR MAHASISWA KEBIDANAN
Authors: Noorbaya Siti , Mutmainnah Annisa Ul , Amriana Mita
Published: January 2020

Health communication is one of the core compulsory subjects for midwifery students. The character-based health communication learning model is a study with the aim to find out the effectiveness of the character education-based health communication learning model with a specific target of improving student achievement. In this study the method used was Pre-Experimental with Posttest Only Control Group Design with a sample of 70 students divided into 2 groups: 35 treatment group respondents and 35 control group respondents. The results of the study of the effectiveness of health education learning models based on character education on improving learning achievement, interpretation of the results of the normality test data of the treatment group has a sig value of 0.200> 0.05, and the control group has a sig value of 0.129> 0.05, meaning that the data is normally distributed. Results of Data Analysis using the Independent Sample T-Test of 0.035 <0.05, there is a significant difference between the learning outcomes of the experimental / treatment group and the control group. Fromthe results of the study it can be concluded that the character-based health communication learning model given to midwifery students can improve student learning achievement
A new way to quickly estimate climate change impacts on rivers and streams
Authors: Vano Julie A. , Dalton Meghan M.
Published: January 2020

We outline a new method that offers quick insights into how the amount of water in rivers and streams will be impacted by warmer temperatures and future precipitation change. This method yields comparable results to more conventional model-intense climate change impact studies and is faster and cheaper to implement, making it a practical alternative for those exploring future water supply changes in places with limited computational access. Using rivers and streams in the Pacific Northwest of North America as an example, we share what this new method can (and cannot) do, and highlight the steps one could take to quickly begin exploring how climate change could impact their water supply.
Increasing heat creates hardship for brick kiln workers in Chennai, India and the alternative pathways reducing it
Authors: Lundgren Kownacki Karin , Kjellberg Siri M. , Goosh Pernille , Dabaieh Marwa , Venugopal Vidhya
Published: January 2020

Climate change brings new burdens to people working outdoors. Migrant populations working at brick kilns in India are one such group facing dangerously overheated working conditions. Many migrate to the kilns from rural areas under bonded labor conditions. We argue that solutions need to go beyond industry-oriented technology-based solutions and focus on the social problem and take a people focused stance. In addition to adopting more locally appropriate technologies to reduce greenhouse gas emissions and heat in the work environment, solutions focusing on the workers situation must be considered from a human rights perspective.
Endogenous cueing effects for detection can be accounted for by a decision model of selective attention
Authors: Johnson Miranda L. , Palmer John , Moore Cathleen M. , Boynton Geoffrey M.
Published: January 2020

Spatial cues help participants detect a visual target when it appears at the cued location. One hypothesis for this cueing effect, called selective perception, is that cueing a location enhances perceptual encoding at that location. Another hypothesis, called selective decision, is that the cue has no effect on perception, but instead provides prior information that facilitates decision-making. We distinguished these hypotheses by comparing a simultaneous display with two spatial locations to sequential displays with two temporal intervals. The simultaneous condition had a partially valid spatial cue, and the sequential condition had a partially valid temporal cue. Selective perception predicts no cueing effect for sequential displays given there is enough time to switch attention. In contrast, selective decision predicts cueing effects for sequential displays regardless of time. We used endogenous cueing of a detection-like coarse orientation discrimination task with clear displays (no external noise or postmasks). Results showed cueing effects for the sequential condition, supporting a decision account of selective attention for endogenous cueing of detection-like tasks.
Microwave-assisted synthesis of 2-substituted 4,5,6,7-tetrahydro-1,3-thiazepines from 4-aminobutanol
Authors: Mollo María C , Kilimciler Natalia B , Bisceglia Juan A , Orelli Liliana R
Published: January 2020

A general procedure for the synthesis of 2-substituted tetrahydro-1,3-thiazepines by MW-assisted cyclization of 4-thioamidobutanols is presented. The acyclic precursors were prepared in high overall yields by an expeditious three-step diacylation/thionation/deprotection sequence from 4-aminobutanol. Microwave-assisted ring closure of 4-thioamido alcohols promoted by trimethylsilyl polyphosphate (PPSE) in solvent-free conditions allowed for the synthesis of several hitherto unreported seven-membered iminothioethers bearing 2-aryl, alkenyl, aralkyl and alkyl substituents. The cyclodehydration reaction is likely to involve an SN2-type displacement and affords good to excellent yields of the desired heterocycles in very short reaction times.
Prompt X-Ray Emission from Fast Radio Bursts—Upper Limits with AstroSat
Authors: Anumarlapudi Akash , Bhalerao Varun , Tendulkar Shriharsh P. , Balasubramanian A.
Published: January 2020

Fast radio bursts (FRBs) are short-lived (∼ms), energetic transients (having a peak flux density of ∼Jy) with no known prompt emission in other energy bands. We present results of a search for prompt X-ray emissions from 41 FRBs using the Cadmium Zinc Telluride Imager on AstroSat, which continuously monitors ∼70% of the sky. Our searches on various timescales in the 20–200 keV range, did not yield any counterparts in this hard X-ray band. We calculate upper limits on hard X-ray flux, in the same energy range and convert them to upper bounds for η: the ratio of X-ray to radio fluence of FRBs. We find η ≤ 108–10 for hard X-ray emission. Our results will help constrain the theoretical models of FRBs as the models become more quantitative and nearer, brighter FRBs are discovered.
Evolution of Cemented Stems
Authors: Shah Nikhil , Porter Martyn
Published: January 2020

abstract

John Charnley was responsible for pioneering successful cemented hip arthroplasty. Changes in stem design were made in response to early complications such as stem fracture. Various philosophies of stem biomechanics emerged, namely stems performing in the taper slip mode and stems performing as a composite beam. Both stem designs may be successful, although it is important not to mix biomechanical philosophies. Later evolutions have occurred in response to surgical flexibility, specifically modularity and offset options. These attributes can impart new demands on the stem and, in some cases, retrograde developments have occurred. Cemented stems may yield excellent long-term results and have the potential to limit fixation to the proximal femur and establish a metaphyseal-loading regimen. The latest design of taper slip stems, such as the C-stem (DePuy Orthopaedics, Warsaw, Ind), may have advantages in maintaining proximal bone stock and preserving host bone. The historical developments and evolution of the cemented stem in total hip arthroplasty (THA) are discussed.
Setting a Minimum Passing Standard for the Uncertainty Communication Checklist Through Patient and Physician Engagement
Authors: Salzman David H. , Rising Kristin L. , Cameron Kenzie A. , Powell Rhea E. , Papanagnou Dimitri , Doty Amanda , Piserchia Katherine , Latimer Lori , McGaghie William C. , McCarthy Danielle M.
Published: January 2020

Background

Historically, medically trained experts have served as judges to establish a minimum passing standard (MPS) for mastery learning. As mastery learning expands from procedure-based skills to patient-centered domains, such as communication, there is an opportunity to incorporate patients as judges in setting the MPS.

Objective

We described our process of incorporating patients as judges to set the MPS and compared the MPS set by patients and emergency medicine residency program directors (PDs).

Methods

Patient and physician panels were convened to determine an MPS for a 21-item Uncertainty Communication Checklist. The MPS for both panels were independently calculated using the Mastery Angoff method. Mean scores on individual checklist items with corresponding 95% confidence intervals were also calculated for both panels and differences analyzed using a t test.

Results

Of 240 eligible patients and 42 eligible PDs, 25 patients and 13 PDs (26% and 65% cooperation rates, respectively) completed MPS-setting procedures. The patient-generated MPS was 84.0% (range 45.2–96.2, SD 10.2) and the physician-generated MPS was 88.2% (range 79.7–98.1, SD 5.5). The overall MPS, calculated as an average of these 2 results, was 86.1% (range 45.2–98.1, SD 9.0), or 19 of 21 checklist items.

Conclusions

Patients are able to serve as judges to establish an MPS using the Mastery Angoff method for a task performed by resident physicians. The patient-established MPS was nearly identical to that generated by a panel of residency PDs, indicating similar expectations of proficiency for residents to achieve skill “mastery.”
Research of the Czech language from the perspective of Queer Linguistics
Authors: Kolek Vít
Published: January 2020

The aim of this minireview is to analyse the existing Czech research in the field of Queer Linguistics with the use of the meta-linguistic perspective. After a short introduction of Queer Theory ideas and ideas of Queer Linguistics focusing on the terms queer and heteronormativity, the author deals with the Czech denomination of this field. Against the backdrop of the state of Czech Gender Linguistics, additional circumstances of the current state of Czech Queer Linguistics are presented. Those include (apart from the unavailability of relevant literature in Czech libraries) a limited number of experts dealing with the topic, offering queer-linguistic lectures and seminars at Czech universities. In the next part of the article, the existing publications dealing with various topics from the field of Czech Queer Linguistics are analysed. In the final part of the article, some topics which may extend the publication basis of the field are outlined as they also may help to reflect the current social topics in the Czech Republic.
Moisture origin as a driver of temporal variabilities of the water vapour isotopic composition in the Lena River Delta, Siberia
Authors: Bonne Jean-Louis , Meyer Hanno , Behrens Melanie , Boike Julia , Kipfstuhl Sepp , Rabe Benjamin , Schmidt Toni , Schönicke Lutz , Steen-Larsen Hans Christian , Werner Martin
Published: January 2020

Abstract. In the context of the Arctic amplification of climate change affecting the regional atmospheric hydrological cycle, it is crucial to characterize the present-day’s moisture sources of the Arctic. The isotopic composition is an important tool to enhance our understanding of the drivers of the hydrological cycle, due to the different molecular characteristics of water stable isotopes during phase change. This study introduces two years of continuous in situ water vapour and precipitation isotopic observations conducted since July 2015 in the east-Siberian Lena delta, at the research station on the Samoylov Island. The vapour isotopic signals are dominated by variations at the seasonal and synoptic time scales. Diurnal variations of the vapour isotopic signals are masked by synoptic variations, indicating low variations of the amplitude of local sources at the diurnal scale in winter, summer and autumn. Low amplitude diurnal variations in spring may indicate exchange of moisture between the atmosphere and the snow-covered surface. Moisture sources diagnostics based on semi-Lagrangian backward trajectories reveal that different air mass origins have contrasted contributions to the moisture budget of the Lena delta region. At the seasonal scale, the distance from the net moisture sources to the arrival site strongly varies. During the coldest months, no contribution from local secondary evaporation is observed. Variations of the vapour isotopic composition during the cold season on synoptic time scale are strongly related to moisture source regions and variations in the atmospheric transport: warm and isotopically-enriched moist air is linked with fast transport from the Atlantic sector; while dry and cold air with isotopically-depleted moisture is generally associated to air masses moving slowly over northern Eurasia.
Modeling a modern-like pCO2 warm period (Marine Isotope Stage KM5c) with two versions of an Institut Pierre Simon Laplace atmosphere–ocean coupled general circulation model
Authors: Tan Ning , Contoux Camille , Ramstein Gilles , Sun Yong , Dumas Christophe , Sepulchre Pierre , Guo Zhengtang
Published: January 2020

Abstract. The mid-Piacenzian warm period (3.264 to 3.025 Ma) is the most
recent geological period with present-like atmospheric pCO2 and is thus expected to have exhibited a warm climate similar to or warmer
than the present day. On the basis of understanding that has been gathered on
the climate variability of this interval, a specific interglacial (Marine
Isotope Stage KM5c, MIS KM5c; 3.205 Ma) has been selected for the Pliocene
Model Intercomparison Project phase 2 (PlioMIP 2). We carried out a series
of experiments according to the design of PlioMIP2 with two versions of the
Institut Pierre Simon Laplace (IPSL) atmosphere–ocean coupled general circulation model (AOGCM): IPSL-CM5A
and IPSL-CM5A2. Compared to the PlioMIP 1 experiment, run with IPSL-CM5A, our
results show that the simulated MIS KM5c climate presents enhanced warming
in mid- to high latitudes, especially over oceanic regions. This warming can
be largely attributed to the enhanced Atlantic Meridional Overturning
Circulation caused by the high-latitude seaway changes. The sensitivity
experiments, conducted with IPSL-CM5A2, show that besides the increased
pCO2, both modified orography and reduced ice sheets contribute
substantially to mid- to high latitude warming in MIS KM5c. When considering
the pCO2 uncertainties (+/-50 ppmv) during the Pliocene, the
response of the modeled mean annual surface air temperature to changes to
pCO2 (+/-50 ppmv) is not symmetric, which is likely due to the
nonlinear response of the cryosphere (snow cover and sea ice extent). By
analyzing the Greenland Ice Sheet surface mass balance, we also demonstrate
its vulnerability under both MIS KM5c and modern warm climate.
Storm Tide Amplification and Habitat Changes due to Urbanization of a Lagoonal Estuary
Authors: Orton Philip M. , Sanderson Eric W. , Talke Stefan A. , Giampieri Mario , MacManus Kytt
Published: January 2020

Abstract. In recent centuries, human activities have greatly modified the geomorphology of coastal regions. However, studies of historical and possible future changes in coastal flood extremes typically ignore the influence of geomorphic change. Here, we quantify the influence of 20th Century manmade changes to Jamaica Bay, New York City, on present-day storm tides. We develop and validate a hydrodynamic model for the 1870s, based on detailed maps of bathymetry, seabed characteristics, topography, and tide observations, for use alongside a present-day model. Predominantly through dredging, landfill, and inlet stabilization, the average water depth of the bay increased from 1.7 to 4.5 m, tidal surface area decreased from 92 to 72 km2, and the inlet minimum cross-sectional area expanded from 4800 to 8900 m2. Total (freshwater plus salt) marsh habitat area has declined from 61 to 15 km2 and intertidal unvegetated habitat area from 17 to 4.6 km2. A probabilistic flood hazard assessment with simulations of 144 storm events reveals that the landscape changes caused an increase of 0.28 m (12 %) in the 100-year storm tide, even larger than the influence of global sea level rise of about 0.23 m since the 1870s. Specific anthropogenic changes to estuary depth, area and inlet depth and width are shown through targeted modeling and dynamics-based considerations to be the most important drivers of increasing storm tides.
From access deprivation to skill acquisition: Cluster analysis of user behavior in face of a 12-hour legal blockage of WhatsApp in Brazil
Authors: Santos Marcelo , Saldaña Magdalena , Rosenberg Andrés
Published: January 2020

This study takes advantage of a forceful legal 12-hour deprivation of access to WhatsApp messaging service nationwide in Brazil on 18 December 2015. Right after the blockage, we ran a survey to capture the reaction of Brazilians that were cut off from the App, aiming to understand which factors point to the capacity to successfully circumvent the blockage. Anxiety, digital skills and gender were found to be related to success, while isolation and age were not. Furthermore, a cluster analysis of 306 respondents that attempted to bypass the blockage identified four groups that summarize the reaction patterns in face of the blockage: the deprived, the challengers, the addicted and the elite. We discuss the possible implications of the findings for the field.
Enter the WhatsApper: Reinventing digital activism at the time of chat apps
Authors: Milan Stefania , Barbosa Sérgio
Published: January 2020

This paper investigates how the appropriation of chat apps by social actors is redesigning digital activism and political participation today. To this end, we look at the case of #Unidos Contra o Golpe (United Against the Coup), a WhatsApp “private group” which emerged in 2016 in Florianópolis, Brazil, to oppose the controversial impeachment of the then-president Dilma Rousseff. We argue that a new type of political activist is emerging within and alongside with contemporary movements: the WhatsApper, an individual who uses the chat app intensely to serve her political agenda, leveraging its affordances for political participation. We explore WhatsApp as a discursive opportunity structure and investigate the emergence of a repertoire specific to chat apps. We show how recurrent interaction in the app results into an all-purpose, identity-like sense of connectedness binding social actors together. Diffuse leadership and experimental pluralism emerge as the bare organizing principles of these groups. The paper is based on a qualitative analysis of group interactions and conversations, complemented by semi-structured interviews with group members. It shows how WhatsApp is more than a messaging app for “hanging out” with like-minded people and has come to constitute a key platform for digital activism, in particular in the Global South.
'El Negro de WhatsApp' meme, digital blackface, and racism on social media
Authors: Matamoros-Fernández Ariadna
Published: January 2020

This paper explores how structural racism encodes itself into social media. Through the examination of a popular WhatsApp meme in Spain, I show how everyday socio-technical practices on this platform perpetuate power hierarchies based on race. As a first step, the paper links “El Negro de WhatsApp” meme with the long racist tradition of commodifying black bodies in American popular culture and beyond. Second, I argue that encrypted services like WhatsApp facilitate and amplify what Picca and Feagin (2007) refer to as the “backstage” of racism. The article concludes outlining the challenges of private, encrypted services if we are to dismantle ‘platformed racism’.
What's Really Behind the Mask: A Reexamination of Syncretism in Brazilian Candomblé
Authors: Ogunnaike Ayodeji
Published: January 2020

Afro-Catholic syncretism has predominantly been analyzed through the metaphor of a mask in which African slaves ingeniously employed the traditions of Catholic saints to disguise their worship of African deities, ensuring the preservation of their traditions. The study of Brazilian Candomblé—primarily the work of Roger Bastide—has arguably been the most influential in developing this theory. However, this model assumes a Eurocentric framework of discrete, mutually exclusive religions. This article builds on and modifies the mask theory by applying indigenous Yoruba perspectives on cosmology, ontology, interreligious interactions, and masks as traditions that reveal truths more than disguise them. It draws on ethnographic research in Brazil and Nigeria with specialists and practitioners in orişa/orixa traditions and Catholicism. While Westerners may have only seen a mask that camouflaged African deities, Africans themselves created masks that maintained their traditions and revealed their deities, engaging in deep interreligious theology.
Language design and communicative competence: The minimalist perspective
Authors: Murphy Elliot
Published: January 2020

In the Minimalist Program, the place of linguistic communication in language evolution and design is clear: It is assumed to be secondary to internalisation. I will defend this position against its critics, and maintain that natural selection played a more crucial role in selecting features of externalization and communication than in developing the computational system of language, following some core insights of Minimalism. The lack of communicative advantages to many core syntactic processes supports the Minimalist view of language use. Alongside the computational system, human language exhibits ostensive-inferential communication via open-ended combinatorial productivity, and I will explore how this system is compatible with – and does not preclude – a Minimalist model of the language system.
Using Case Studies for Research on Judicial Opinions. Some Preliminary Insights
Authors: Stępień Mateusz
Published: January 2020

Using Case Studies for Research on Judicial Opinions. Some Preliminary Insights

There is a pressing need to develop a research methodology for studying judicial opinions that goes beyond both dogmatic analyzes and the established positions developed within philosophy of law and legal theory (e.g. the hermeneutic and argumentative approaches). One possible way is to adopt or modify methodologies developed within empirically oriented social sciences. Most social science textbooks devoted to methodology of empirical research deal with case studies. So far, this research framework developed within the social sciences has not been applied directly to judicial opinions, though they have been used for some empirical legal research studies. Even et first sight, case study research would appear to have potential for use with judicial opinions. The aim of the paper is to answer the question, how and to what extent can case study methodology developed within the social sciences be fruitfully used to examine judicial opinions? The general answer is undoubtedly positive (case studies can bring new, non-trivial threads to the research methodology on judicial opinions), though with many serious and far-reaching reservations.
‘Naar een Nabijheidsrechter’, een onderzoek naar de inpasbaarheid van de Belgische en Franse vrederechter in het Nederlandse rechtsbestel
Authors: von Bóné Emese
Published: January 2020

To a Juge de proximité, a research for fitting in the Belgian and French juge de proximité in the Dutch legal system

In this article Emese von Bóné discusses the main findings of a Netherlands research (report) into the origin and functioning of the Belgian justice de paix and the French juge de proximité, the successor of the French justice de paix. The report also provides avenues how this type of adjudication could be implemented in the Dutch administration of justice.
Outcomes of decentralizing hypertension care from district hospitals to health centers in Rwanda, 2013–2014
Authors: Ngoga G. , Park P. H. , Borg R. , Bukhman G. , Ali E. , Munyaneza F. , Tapela N. , Rusingiza E. , Edwards J. K. , Hedt-Gauthier B.
Published: January 2020

Setting: Three district hospitals (DHs) and seven health centers (HCs) in rural Rwanda.Objective: To describe follow-up and treatment outcomes in stage 1 and 2 hypertension patients receiving care at HCs closer to home in comparison to patients receiving care at DHs
further from home.Design: A retrospective descriptive cohort study using routinely collected data involving adult patients aged 18 years in care at chronic non-communicable disease clinics and receiving treatment for hypertension at DH and HC between 1 January 2013 and 30 June 2014.Results:
Of 162 patients included in the analysis, 36.4% were from HCs. Patients at DHs travelled significantly further to receive care (10.4 km vs. 2.9 km for HCs, P < 0.01). Odds of being retained were significantly lower among DH patients when not adjusting for distance (OR 0.11, P
= 0.01). The retention effect was consistent but no longer significant when adjusting for distance (OR 0.18, P = 0.10). For those retained, there was no significant difference in achieving blood pressure targets between the DHs and HCs.Conclusion: By removing the distance
barrier, decentralizing hypertension management to HCs may improve long-term patient retention and could provide similar hypertension outcomes as DHs.
Detecção de Posicionamento em Tweets sobre Política no Contexto Brasileiro
Authors: Christhie William , Reis Julio C. S. , Moro Fabrício Benevenuto Mirella M. , Almeida Virgílio
Published: January 2020

Opinions shared over the Web constitute big volumes of data. Moreover, they may contain stances that are expressed directly or indirectly. Hence, stance detection may help to define the polarity related to a target idea. Here, we present the characterization of a broad set of tweets in Portuguese about the 2018 Brazilian presidential race. Such a set serves as the basis for automatic stance detection through a semi-supervised approach. In our evaluation, we find clues on the presence of bots in the network. We also evaluate three classifiers with paired statistical test, and our results present F-Measure above 94%.
That's my jam! Uma Análise Temporal sobre a Evolução das Preferências dos Usuários em uma Rede Social de Músicas
Authors: Pereira Fabíola S. F. , Linhares Cláudio D. G. , Ponciano Jean R. , Gama João , De Amo Sandra , Oliveira Gina M. B.
Published: January 2020

As preferências dos usuários são muito dinâmicas, uma vez que eles tendem a explorar uma vasta gama de informações e modificar seus gostos ao longo do tempo. Modelos existentes que capturam a evolução de preferências no domínio de músicas são muito restritos e não levam em conta a influência social. Este trabalho propõe uma análise sobre a evolução das preferências musicais dos usuários de uma rede social de músicas, utilizando redes temporais de similaridade. Como resultado, foi detectado que poucos usuários variam significativamente suas preferências. A tendência é que artistas e usuários semelhantes mantenham suas similaridades ao longo do tempo.
Importância das Colaborações Interdisciplinares nas Redes de Coautoria Científica
Authors: Pessoa Júnior Geraldo J. , Dias Thiago M. R. , Silva Thiago H. P. , Laender Alberto H. F.
Published: January 2020

Quão importantes são as colaborações interdisciplinares nas redes de coautoria científica? Esta é uma questão relevante que tem chamado a atenção da comunidade acadêmica, já que o estreitamento das relações entre pesquisadores contribui para tornar as redes científicas mais fortes. Entretanto, trabalhos tradicionais têm se concentrado na caracterização de grupos específicos e não no estudo de uma comunidade científica completa e robusta. Neste artigo, caracterizamos essas relações considerando as oito grandesáreas de toda a rede de coautoria científica brasileira. Nossos resultados mostram que a rede de coautoria brasileira cresceu e tornou-se especialmente interdisciplinar.
SEMPLICe: Um Modelo Sequencial de Proficiência em Comunidades Online para Aprendizado de Idioma ∗
Authors: Medina Rafael Sales , Da Silva Ana Paula Couto , Murai Fabricio
Published: January 2020

O Reddit é uma rede social online em que usuários interessados em um mesmo tópico interagem uns com os outros em subreddits. Subreddits para aprendizado de idioma vem atraindo usuários de diferentes nı́veis de pro- ficiência a cada ano, buscando melhorar o aprendizado. Em particular, no subreddit German, os usuários são aconselhados a informar seu nı́vel de pro- ficiência ao escrever um post. Contudo, apenas 20% dos posts possuem tais tags. Abordamos aqui o problema de classificar a proficiência dos usuários a partir de suas publicações. Conduzimos uma série de experimentos que demonstram que classificadores que tratam as publicações como observações independentes tem baixo desempenho. À vista disso, propomos um novo modelo, SEMPLICe, que considera as caracterı́sticas textuais e também o histórico de um usuário no subreddit para classificar sua proficiência ao longo do tempo. Baseado na suposição de que a proficiência é não decresce desde que um usuário permaneça ativo, SEMPLICe alcança um F 1 ponderado até 29,6% maior que os métodos anteriores. SEMPLICe utiliza programação dinâmica para obter complexidade linear no tamanho do histórico de cada usuário.
Com que frequência devo acessar as minha redes sociais?
Authors: Hargreaves Eduardo , Menasché Daniel , Neglia Giovanni
Published: January 2020

O tempo que usuários passam nas redes sociais é um tema em voga. A retenção das redes sociais tem importantes implicações, que extrapolam o campo social atingindo aspectos econômicos, psicológicos e de infraestrutura da rede. Neste artigo, consideramos o problema da determinação da taxa ótima de acesso a uma rede social. Para tal, propomos um modelo analı́tico que permite determinar, em função da taxa com que as fontes geram conteúdos, a chance de um usuário acessar a rede e obter conteúdos novos. Em seguida, usamos os resultados do modelo para alimentar um problema de otimização, no qual assumimos que cada acesso à rede social envolve custos. Usando o modelo e o problema de otimização, provemos insights sobre a taxa ótima de acesso. Nossos resultados são parametrizados usando dados do Facebook, que indicam o poder preditivo da abordagem proposta.
Uma análise sobre as bulas de medicamentos no Brasil
Authors: Da Cunha Alexandre Martins , Nascimento Gabriel , Guedes Gustavo Paiva
Published: January 2020

A Organização Mundial de Saúde destaca que um certo nível de automedicação pode ser aceitável, desde que ocorra de maneira responsável. Nesse aspecto, a bula do medicamento pode auxiliar no esclarecimento quantoá enfermidade e tratamento do paciente. Entretanto, diversos estudos destacam problemas apresentados nas bulas de medicamentos. O presente estudo tem o objetivo de contribuir analisando o atual cenário das bulas de medicamentos no Brasil. Os resultados indicam que as bulas presentes na internet s ão pouco homogêneas e omitem eventos adversos. A análise efetuada em um par de bulas do site da ANVISA indica a existência de termos muito técnicos e algumas omissões.
Predição de Falhas em Workflows Cientı́ficos com o uso de Redes de Petri Estocásticas e Lógica DS 3
Authors: Lopes Bruno , De Oliveira Daniel
Published: January 2020

Vários workflows existentes exigem muitos recursos computacionais, pois processam um grande volume de dados. Dessa forma, os ambientes de Processamento de Alto Desempenho (PAD) devem ser aplicados em conjunto com técnicas de paralelização para apoiar a sua execução. Embora os ambientes de PAD ofereçam diversas vantagens, as falhas são uma realidade, e não uma possibilidade, devido ao grande número de nós de computação envolvidos na execução do workflow. Verificar falhas no workflow é uma tarefa desafiadora que ainda requer esforço. Neste artigo, propomos o uso da DS 3 , uma lógica dinâmica adaptada sobre as redes de Petri estocásticas, para verificar e prever falhas em workflows.
Aplicação de Ontologias de Proveniência em Workflows Cientı́ficos: um Mapeamento Sistemático
Authors: Dias Luiz Gustavo , Lopes Bruno , De Oliveira Daniel
Published: January 2020

Experimentos cientı́ficos modelados como workflows são executados por complexos mecanismos chamados de Sistemas de Gerência de Workflows (SGWf). Existem diversos SGWfs com seus prós e contras, porém todos compartilham diversas caracterı́sticas como por exemplo, a necessidade de fornecer apoio para os cientis- tas analisarem seus dados. Os dados de proveniência tem um papel importante no fornecimento das informações necessárias em diferentes etapas experimentais. Desta forma, o presente trabalho tem como objetivo mapear e caracterizar abordagens que utilizam uma das quatro ontologias de proveniência selecionadas, analisando fatores como adequabilidade, requisitos de execução e arquitetura. Após o estudo, percebeu- se que as ontologias de proveniência podem ser aplicadas em diferentes etapas do ciclo de vida do workflow cientı́fico, mas principalmente na fase de análise.
Análise comparativa de ferramentas de Montagem e Binning de metagenomas utilizando dados simulados microbianos
Authors: Pará Rodrigo B. P. R. , Rocha Pedro  H. D. M. , Couto Danielle  C. C. , Oliveira Renato  R. M. , Kawasaki Regiane
Published: January 2020

Binning consiste em agrupar sequências de DNA de acordo com unidades taxonômicas, muito usado na Metagenômica, campo que estuda o genoma de comunidades de microrganismos. Novas ferramentas são desenvolvidas para pipelines metagenômicos, necessitando que se estabeleçam paradigmas neste tipo de análise através da verificação do desempenho de ferramentas de montagem e binning. Para os testes comparativos deste trabalho foram utilizados conjuntos de dados de 10 e 100 espécies de bactérias, além de 3 softwares montadores: IDBA_UD, Megahit e MetasSPAdes, e 2 softwares de binning: MetaBAT-2.12.1 e MaxBin-2.2.4. Verificou-se que o MetaBAT superou o MaxBin na qualidade dos bins gerados.
Approximation Algorithms for Decision Trees
Authors: Saettler Aline , Laber Eduardo S.
Published: January 2020

Decision trees are a central structure in computer science, having applications in many areas. This thesis contributes to the understanding of this important structure by proving by proving theoretical bounds on its behavior and also providing algorithms to construct decision trees with much stronger guarantee and that can cope with more general situations than the solutions available in the literature.
Image Analytics Techniques for Diabetic Retinopathy Detection
Authors: Pires Ramon , Rocha Anderson , Wainer Jacques
Published: January 2020

Diabetic Retinopathy is the leading cause of blindness in working- age adults. This work aims at enhancing lesion detection, reinforcing referral decisions, and integrating our solutions with low-cost retinal imaging devices. For lesion detection, we proposed a novel coding technique robust to any kind oflesion. For referral decisions, we designed a robust method that does not rely upon lesion detection, proposed an effective data-driven model that significantly improves the performance, designed an accountable model that produces a re- liable response and enables pixel-based importance comprehension, and create local descriptors that are encoded into a rich mid-level representation. Our work has invaluable impacts both in biomedical and technical contexts.
Abordagens Exata e Heurística para o Mapeamento de Redes Virtuais
Authors: Araújo Samuel M. A. , Mateus Geraldo R. , De Souza Fernanda S. H.
Published: January 2020

A virtualização de redes é uma técnica que permite a emulação de diferentes redes virtuais (VNs) simultaneamente sobre o mesmo substrato físico de rede (SN). Tal técnica induz benefícios inerentes à liberdade dos protocolos rígidos de rede, além de facilitar o desenvolvimento de novas tecnologias web. Definir o melhor conjunto de equipamentos do SN para hospedar as VNs é um problema pertencente à classe NP-difícil, denominado Mapeamento de Redes Virtuais (VNE). Diversamente à literatura corrente, este trabalho se singularizou por ter apresentado diferentes abordagens exata e heurística para a resolução do VNE, atuando em ambientes compostos por um ou mais domínios de rede. Adicionalmente, as abordagens desenvolvidas conseguem atender às diferentes características das demandas de VNs, transitando entre os modelos de processamento online, periódico e offline. Neste trabalho ainda foi proposta a aplicação da abordagem heurística em um ambiente multidomínio e online, através do controle de um orquestrador de rede. Um estudo comparativo de três modelos de orquestração distintos foi realizado, sendo com: (i) conhecimento total, (ii) conhecimento parcial e (iii) sem conhecimento da infraestrutura de rede física interna aos domínios. Ao final foram comparados e discutidos os comportamentos das abordagens propostas, usando quatro diferentes objetivos: (i) balanceamento de carga, (ii) consumo de energia elétrica, (iii) lucro dos provedores de serviço e (iv) troca de mensagens entre diferentes domínios.
Reintegra - Plataforma para auxílio à reintegração de egressos do sistema prisional brasileiro ao mercado de trabalho formal
Authors: Kauer Lucas de Freitas , Oliveira Rodrigo Remor , Gomes Raquel Salcedo
Published: January 2020

A pesquisa tem como objetivo desenvolver uma plataforma digital que visa a minimizar as principais dificuldades que egressos do sistema prisional encontram ao tentar se reinserir no mercado de trabalho formal e no âmbito acadêmico. A população carcerária brasileira carece de atenção no cunho político-social. Devido a isso, o trabalho tem como tema a relação entre a computação digital e a reintegração social de egressos de penitenciárias brasileiras. Com esse contexto, busca-se identificar maneiras de minimizar a cobrança de experiência para a reinserção de egressos ao mercado de trabalho formal. O referencial teórico apoia-se na filosofia foucaultiana e em pesquisas relacionadas ao tema dasáreas de sociologia, psicologia e serviço social. A metodologia, de cunho quali-quantitativo, foi desenvolvida especialmente para esta investigação, compondo-se de oito etapas, iterativamente avaliadas. Os instrumentos utilizados foram caderno de campo digital, questionários e entrevistas. A partir das respostas da primeira entrevista, concluiu-se que não há um preparo ou uma reeducação social dentro dos presídios ou após o egresso. Com isso, surge uma dificuldade tanto para o regresso ao mercado de trabalho quanto para a sociedade em si. A plataforma é dividida em uma arquitetura de cliente-servidor, a fim de aumentar a interoperabilidade do sistema. Como considerações finais, constata-se a relevância do projeto de desenvolvimento tecnológico, tendo em vista a carência de projetos relacionados com a proposta aqui apresentada. Ademais, o preconceito, a falta de políticas públicas e de contingências legais dificultam a reintegração de egressos, o que se pretende mitigar com o desenvolvimento desta plataforma.
Expected Emergent Algorithmic Creativity and Integration in Dynamic Complex Networks
Authors: Abrahão Felipe S. , Wehmuth Klaus , Ziviani Artur
Published: January 2020

We present a theoretical investigation of the emergence of complexity or irreducible information in networked computable systems when the network topology may change over time. For this purpose, we build a network model in which nodes are randomly generated Turing machines that obey a communication protocol of imitation of the fittest neighbor. Then, we show that there are topological conditions that trigger a phase transition in which eventually these networked computable systems begin to produce an unlimited amount of bits of expected emergent algorithmic complexity, creativity and integration as the network size goes to infinity.
Two simplified versions of Red-Blue Facility Location
Authors: Fernandes Cristina , Pocai Rafael
Published: January 2020

The Red-Blue Facility Location problem is a generalization of Facility Location where clients may have two types of demands and each open facility must provide for one of the types of demands. We present preliminary results for two special cases of this problem.
Evolving Convolutional Neural Networks for Glaucoma Diagnosis
Authors: Lima Alan , Maia Lucas B. , Dos Santos Pedro Thiago Cutrim , Braz Júnior Geraldo , De Almeida João D. S. , De Paiva Anselmo C.
Published: January 2020

Glaucoma is an ocular disease that causes damage to the eye's optic nerve and successive narrowing of the visual field in affected patients which can lead the patient, in advanced stage, to blindness. This work presents a study on the use of Convolutional Neural Networks (CNNs) for the automatic diagnosis through eye fundus images. However, building a perfect CNN involves a lot of effort that in many situations is not always able to achieve satisfactory results. The objective of this work is to use a Genetic Algorithm (GA) to optimize CNNs architectures through evolution that can helps in glaucoma diagnosis using eye's fundus image from RIM-ONE-r2 dataset. Our partial results demonstrate satisfactory results after training the best individual chosen by GA with the achievement of an accuracy of 91%.
Detecção de tentativa de invasão por dados sintéticos em aplicações de biometria por voz
Authors: Neto Wilson , Figueiredo Carlos
Published: January 2020

Sistemas de biometrias baseados em voz são muito comuns hoje em dia, principalmente com a popularização de sistemas de comando por voz e assistentes digitais, como Google Assistant ou Alexa. Uma funcionalidade importante desses sistemas é detectar o usuário que está emitindo um comando, pois, assim controla-se o acesso à informações pessoais ou sensı́veis ao seu perfil. Assim, como em biometria baseada em faces, biometria por áudio pode sofrer ataques por dados sintéticos, onde gravações podem se fazer passar por dados reais. Este trabalho apresenta um modelo baseado em redes neurais profundas capaz de detectar essa técnica de invasão. Para o treinamento utilizou-se dados reais de gravações e dados sintéticos gerados a partir das gravações originais. Obteve-se resultados condizentes com a literatura, principalmente pela baixa taxa de falsa aceitação e alta taxa de F1-Score, mesmo em diferentes ambientes e ruı́dos.
Adjusting Group Communication in Dense Internet of Things Networks with Heterogeneous Energy Sources
Authors: Mota Renato , Riker André , Rosário Denis
Published: January 2020

Internet-of-Things (IoT) environments will have a large number of nodes organized into groups to collect and to disseminate data. In this sense, one of the main challenges in IoT environments is to dynamically manage communication characteristics of IoT devices to decrease congestion, traffic collisions, and excessive data collection, as well as to balance the use of energy resources. In this paper, we introduce an energy-efficient and reliable Self Adjusting group communication of dense IoT Network, called SADIN. It configures the communication settings to ensure a dynamic control of IoT devices considering a comprehensive set of aspects, i.e., traffic loss, event relevance, amount of nodes with renewable batteries, and the number of observers. Specifically, SADIN changes the communication interval, the number of data producers, the reliability level of the network. Extensive evaluation results show that SADIN improves system performance in terms of message loss, energy consumption, and reliability compared to state-of-the-art protocol.
Indiccalex: áreas do saber a serviço do estudo da língua
Authors: Altino Fabiane Cristina , Vasconcelos Celciane Alves , De Barbosa Cinthyan Renata Sachs C. , Manfio Edio Roberto , Moreno Fábio Carlos , Gobbo Maria Renata de Mira , De Sousa Marcelo Ozawa
Published: January 2020

Este trabalho descreve o Projeto Interdisciplinar de Dialetologia, Computação, Cartografia e Lexicografia - INDICCALEX. Esse reúne pesquisadores e profissionais de diversas perspectivas teóricas e metodológicas para atender aos anseios dos alunos de graduação e pós-graduação do curso de letras, bem como de pesquisas nas áreas envolvidas neste campo do conhecimento de diversas Instituições de Ensino Superior e tem por objetivo manter acordos de cooperação com essas instituições para o desenvolvimento de projetos relacionados a essas subáreas. Este artigo irá demonstrar um pouco sobre a história do INDICCALEX, seus passos e alguns dos resultados alcançados.
Detecção de cor da pele na melhoria do redimensionamento de imagem baseado em conteúdo
Authors: Rabelo Savio Lopes , Pereira Tamara Arruda , Bezerra Francisco Nivando
Published: January 2020

O Seam Carving é um método de redimensionamento capaz de modificar a largura ou altura de imagens sendo sensível ao seu conteúdo, esse algoritmo aplica uma função de energia para avaliar a importância de cada pixel. Em casos particulares, como imagens que contém pessoas, o método apresenta frequente deformação de objetos, devido a função de energia não ser apta a detecção de pessoa. Com isso em vista, este artigo apresenta uma formulação na função de energia para o Seam Carving específica para a preservação de pessoas nas imagens. Esta função de energia é elaborada a partir de uma rede neural que tem como argumentos de entrada a cor da pele para classificar o pixel em pele ou não pele.
How Much Does It Cost? A Simulation-Based Method for Cost Prediction in Systems-of-Systems Acquisition Processes
Authors: Graciano Neto Valdemar V. , Horita Flávio E. A. , Dos Santos Rodrigo P. , Viana Davi , Kassab Mohamad
Published: January 2020

Software economics, acquisition, and pricing are important concerns, in particular for Systems-of-Systems (SoS). SoS are alliances of independent software-intensive systems combined to offer holistic functionalities as a result of the constituents interoperability. SoS engineering involves separately acquiring constituents and combining them to form the SoS. Despite the existence of cost prediction techniques at Systems Engineering practice, predicting SoS acquisition costs at design-time should include: 1) an analysis of the minimum set of constituents that offer a 'good enough' result, and 2) an analysis of the compatibility between the constituents to deliver the expected result. The main contribution of this paper is proposing a novel simulation-based method for cost prediction in constituents acquisition process, while considering the effectiveness of constituents combination to offer the intended functionalities, and predicting the lowest configuration, at design-time. We adopt a simulation model to predict, at design-time, the results that shall be yielded by the constituents during SoS operation. Preliminary results point out the success of our method to predict such costs while still supporting a selection of the best architectural configurations.
Previsão Anual de Precipitações em Manaus, Amazonas: Um comparativo de técnicas de Aprendizado de Máquina
Authors: Sousa Rafaela dos Santos , Guedes Elloá B. , Oliveira Maria Betânia Leal de
Published: January 2020

As precipitações em Manaus, Amazonas decorrem de uma combinação não trivial de diversas variáveis e afetam a população em muitos aspectos, como de natureza econômica e de saúde. Por essas razões, este trabalho teve como objetivo prever o volume anual de precipitações nesta cidade. Considerando a perspectiva do Aprendizado de Máquina, foram propostos mais de 4000 modelos diversos, a partir dos quais foi possível eleger uma rede neural que obteve F -score superior a 0:7 como modelo apropriado. Os resultados obtidos podem ser utilizados por autoridades para minimização dos danos causados pelas chuvas, para um melhor manejo dos recursos hídricos e para planejamento de atividades dependentes da precipitação, a exemplo da agricultura.