bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors for viral hepatitis C infection in Rwanda: Results from a Nationwide Screening Program
Authors: Makuza Jean Damascene , Liu Carol Y , Ntihabose Corneille Killy , Dushimiyimana Donatha , Umuraza Sabine , Nisingizwe Marie Paul , Umutesi Justine , Serumondo Janvier , Mugeni Soline Dusabeyesu , Semakula Muhamed , Gupta Neil , Hellard Margaret , Nsanzimana Sabin 
Published: July 2019

Abstract
Background: The epidemiology and risk factors for hepatitis C virus (HCV) infection in Rwanda are not well known; however, this information is crucial to shaping the country’s public health approach to hepatitis C control.
Methods: A HCV screening campaign was conducted in the general population in 24 districts previously identified to have a high HCV disease burden. At the time of sample collection, sociodemographic information and self-reported risk factors were collected. Bivariate and multivariate logistic regressions were conducted to assess risk factors independently associated with hepatitis C antibodies (HCVAb) seroprevalence.
Results: Out of a total of 326,263 individuals screened for HCVAb, 22,183 (6.8%) were positive. In multivariate analysis, risk factors identified as statistically associated with HCVAb Seroprevalence include history of traditional operation or scarification (OR=1.09, 95% CI: 1.05-1.14), presence of viral hepatitis in the family (OR=1.27, 95% CI: 1.15-1.40), widowed or separated/divorced (OR=1.36, 95% CI: 1.26-1.47), Southern province (OR=1.98, 95% CI: 1.88-2.08) and aged 65 years and older (OR=4.86, 95% CI: 4.62-5.11). Ubudehe category 3 (OR=0.97, 95% CI: 0.93-1.01) and participants using RAMA (Health insurances for employees of public and private sectors) insurance (OR=0.76, 95% CI: 0.70-0.85) had lower odds of HCV seroprevalence.
Conclusions: Our findings provide important information for Rwanda’s strategy on prevention and case-finding. Future prevention interventions should aim to reduce transmission through targeted messaging around traditional healing practices and case-finding targeting individuals with a history of exposure or advanced age.
O Estresse no Ambiente Hospitalar
Authors: Silva Carvalho Danieli Silva , Trajano Eduardo Tavares Lima , Gonçalves Sebastião Jore da Cunha 
Published: July 2019

O estresse não é apenas uma reação direta e indiscriminada aos perigos da vida diária; ele é subjetivo, pois pessoas diferentes podem experimentar sensações diferentes em relação a uma situação de desgaste, ou seja, a mesma situação pode causar sentimento de estresse num determinado dia e noutro não. Objetivo: A partir de revisões de literatura verifiquei possíveis fatores estressantes aos quais os pacientes internados estão expostos e a possível influencia no seu prognóstico. Metodologia: O presente trabalho trata-se de uma revisão de literatura, onde foram avaliados de artigos científicos em português, disponíveis nas bases de dados SCIELO e LILACS, no período de Julho a dezembro de 2017. Foram utilizados 10 (nove) artigos, de 2008 a 2017, com a finalidade de sintetizar essas informações para a discussão dos resultados da pesquisa de maneira sistemática e ordenada com a relevância necessária para o estudo. A revisão literária teve como base de busca as seguintes palavras chaves: Estresse, Enfermagem e Hospitalização. Conclusão: Os dados discutidos neste trabalho possibilitará uma reflexão sobre a atuação das equipes que atuam no contexto hospitalar, sendo importante repensar sobre as formas de intervenção propostas, os quais envolvem o atendimento ao paciente e à equipe inserida no contexto hospitalar, e assim se busca alternativas que permitam a obtenção de resultados positivos durante o processo de hospitalização, como também na pós-alta.
As contribuições do enfermeiro no autocuidado ao paciente estomizado
Authors: Ribeiro Wanderson Alves , Andrade Marilda , Couto Carla de Souza , Souza Douglas Mendes da Silva , Morais Maicon Costa de , Santos Jose Augustinho Mendes 
Published: July 2019

Estudo de pesquisa bibliográfica com abordagem qualitativa que tem como objetivo descrever a relevância do procedimento cirúrgico seguro e evidenciar as implicações dos enfermeiros e sua equipe no processo da cirurgia segura. Desta forma, salientando a realidade atual dos hospitais, que devem seguir todo o protocolo que foi estabelecido, visando o bem estar físico e emocional do paciente, desde o momento de sua admissão até a alta hospitalar. Os dados foram coletados mediante a uma serie de estudos e pesquisas em artigos científicos e sites. Por sua vez ajudando a refletir como o cuidado produzido repercute não apenas sobre a pessoa, mas também sobre a instituição e os profissionais que executam de maneira correta os passos do manual de cirurgia segura.
Descritores: Cirurgia; Cirurgia segura; Enfermagem.
Cisto esplênico com aumento de CA 19-9: relato de caso
Authors: Henriques Daniel Luiz Ribas , Farias Ingrid de Oliveira , Peruzini Giovanna Alves , Ferraz Adriana Rodrigues 
Published: July 2019

Os cistos esplênicos (CE) são raros e sua sintomatologiaestão estritamente relacionadasao tamanho do cisto. O presente artigo tem como objetivo relatar um caso de CE com aumento do Antígeno Carboidrato 19-9 (CA-19-9). O CA 19-9 é descrito como marcador tumoral pancreático e gastrointestinal e sugere-se sua correlação nos casos de CE. No presente relato, F.S, feminino, 33 anos, assintomática, com CE diagnosticado em 2009, através de ultrassonografia (USG). Nova USG em 2010 mostrou aumento do CE e dosagem de CA 19-9 de 123,6 U/ml,em 2016 de 203,7 U/ml. Paciente foi encaminhada em ambas as consultas,para avaliação cirúrgica, indicando-se esplenectomia total, não realizada. Em última avaliação em 2018, apresentou CA 19-9 de 637,8 U/ml. Portanto, têm se notado correlação entre o aumento do CA 19-9 com a presença do CE, o que é reforçado pelo presente relato de caso, sugerindo a inclusão na literatura do CE dentre as causas benignas de elevação desse marcador tumoral.
Fatores de risco de queimaduras domésticas: conhecimento de profissionais de Unidades Estratégia Saúde da Família
Authors: Souza Maria Cristina Almeida de , Oliveira Lucília de Cássia Freire de 
Published: July 2019

Introdução: a significativa prevalência de queimadura ressalta a importância do compartilhamento de informações sobre as principais medidas de prevenção e fatores de risco associados a esse agravo. Neste contexto, destaca-se o papel dos profissionais da equipe Estratégia Saúde da Família (eSF), cujo processo de trabalho inclui o desenvolvimento de ações relacionadas à prevenção de agravos, entre os quais se incluem as queimaduras. Objetivo: avaliar o conhecimento de profissionais das Unidades ESF do Município de Vassouras/RJ sobre os fatores de risco de queimaduras domésticas. Metodologia: estudo quantitativo, transversal, cujos dados foram coletados por meio da aplicação de questionário estruturado. Resultados: atenderam ao critério de inclusão e participaram da pesquisa 74,4% dos profissionais Sobre o local onde o ferro de passar roupas é guardado após o uso, 78,4% dos profissionais informaram que isto se dá em local fechado, de difícil acesso às crianças; 44,1% guarda o botijão de gás dentro de casa; 15,6% dos participantes deixam cabos das panelas ficam para o lado de fora do fogão ao cozinhar. Sobre a altura das tomadas, 22,5% declararam que ficam em locais alto. O uso de extensões (pinos T’s) nas residências foi confirmado por 14,7%. Conclusão: há necessidade da realização de atividades de educação em saúde sobre fatores de risco e medidas de prevenção de queimaduras voltadas ao profissionais que atuam nas equipes das Unidades Estratégia de Saúde do município de Vassouras/RJ, a fim de que possam ser multiplicadores dessas informações à população adscrita à unidade de saúde.
Cox Proportional Hazard Regression Versus a Deep Learning Algorithm in the Prediction of Dementia: An Analysis Based on Periodic Health Examination
Authors: Kim Woo Jung , Sung Ji Min , Sung David , Chae Myeong-Hun , An Suk Kyoon , Namkoong Kee , Lee Eun , Chang Hyuk-Jae 
Published: July 2019

Background
With the increase in the world’s aging population, there is a growing need to prevent and predict dementia among the general population. The availability of national time-series health examination data in South Korea provides an opportunity to use deep learning algorithm, an artificial intelligence technology, to expedite the analysis of mass and sequential data.

Objective
This study aimed to compare the discriminative accuracy between a time-series deep learning algorithm and conventional statistical methods to predict all-cause dementia and Alzheimer dementia using periodic health examination data.

Methods
Diagnostic codes in medical claims data from a South Korean national health examination cohort were used to identify individuals who developed dementia or Alzheimer dementia over a 10-year period. As a result, 479,845 and 465,081 individuals, who were aged 40 to 79 years and without all-cause dementia and Alzheimer dementia, respectively, were identified at baseline. The performance of the following 3 models was compared with predictions of which individuals would develop either type of dementia: Cox proportional hazards model using only baseline data (HR-B), Cox proportional hazards model using repeated measurements (HR-R), and deep learning model using repeated measurements (DL-R).

Results
The discrimination indices (95% CI) for the HR-B, HR-R, and DL-R models to predict all-cause dementia were 0.84 (0.83-0.85), 0.87 (0.86-0.88), and 0.90 (0.90-0.90), respectively, and those to predict Alzheimer dementia were 0.87 (0.86-0.88), 0.90 (0.88-0.91), and 0.91 (0.91-0.91), respectively. The DL-R model showed the best performance, followed by the HR-R model, in predicting both types of dementia. The DL-R model was superior to the HR-R model in all validation groups tested.

Conclusions
A deep learning algorithm using time-series data can be an accurate and cost-effective method to predict dementia. A combination of deep learning and proportional hazards models might help to enhance prevention strategies for dementia.
Diminishing Effects After Recurrent Use of Self-Guided Internet-Based Interventions in Depression: Randomized Controlled Trial
Authors: Bücker Lara , Schnakenberg Patricia , Karyotaki Eirini , Moritz Steffen , Westermann Stefan 
Published: July 2019

BackgroundSelf-guided internet-based interventions have several advantages over guided interventions and are generally effective in treating psychiatric symptoms.ObjectiveWe aimed to investigate whether the use of a new self-guided internet-based intervention (MOOD) would lead to a significant reduction in depressive symptoms compared with a care-as-usual (CAU) control group in a sample of individuals with depressive symptoms, most of whom had already used a different self-guided internet-based intervention in a previous trial.MethodsA total of 125 individuals were randomized to the intervention condition (MOOD) and received access to the intervention for a period of six weeks or a CAU group. After six weeks, all participants were invited to take part in the post assessment. The Beck Depression Inventory-II served as the primary outcome.ResultsBoth intention-to-treat as well as per-protocol analyses indicated that the depressive symptomatology decreased in both conditions but showed no advantage for those who had used MOOD. Subsequent moderation analyses suggested that those individuals who had less experience with psychotherapy benefitted to a greater extent compared with those with more experience.ConclusionsSelf-guided internet-based interventions are deemed a suitable first-step approach to the treatment of depression. However, our results indicate that they are more efficacious in those with less psychotherapy experience.Trial RegistrationClinicalTrials.gov NCT03795480; http://clinicaltrials.gov/ct2/show/NCT03795480
Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis
Authors: Baumel Amit , Muench Frederick , Edan Stav , Kane John M 
Published: July 2019

Background
Understanding patterns of real-world usage of mental health apps is key to maximizing their potential to increase public self-management of care. Although developer-led studies have published results on the use of mental health apps in real-world settings, no study yet has systematically examined usage patterns of a large sample of mental health apps relying on independently collected data.

Objective
Our aim is to present real-world objective data on user engagement with popular mental health apps.

Methods
A systematic engine search was conducted using Google Play to identify Android apps with 10,000 installs or more targeting anxiety, depression, or emotional well-being. Coding of apps included primary incorporated techniques and mental health focus. Behavioral data on real-world usage were obtained from a panel that provides aggregated nonpersonal information on user engagement with mobile apps.

Results
In total, 93 apps met the inclusion criteria (installs: median 100,000, IQR 90,000). The median percentage of daily active users (open rate) was 4.0% (IQR 4.7%) with a difference between trackers (median 6.3%, IQR 10.2%) and peer-support apps (median 17.0%) versus breathing exercise apps (median 1.6%, IQR 1.6%; all z≥3.42, all P<.001). Among active users, daily minutes of use were significantly higher for mindfulness/meditation (median 21.47, IQR 15.00) and peer support (median 35.08, n=2) apps than for apps incorporating other techniques (tracker, breathing exercise, psychoeducation: medians range 3.53-8.32; all z≥2.11, all P<.05). The medians of app 15-day and 30-day retention rates were 3.9% (IQR 10.3%) and 3.3% (IQR 6.2%), respectively. On day 30, peer support (median 8.9%, n=2), mindfulness/meditation (median 4.7%, IQR 6.2%), and tracker apps (median 6.1%, IQR 20.4%) had significantly higher retention rates than breathing exercise apps (median 0.0%, IQR 0.0%; all z≥2.18, all P≤.04). The pattern of daily use presented a descriptive peak toward the evening for apps incorporating most techniques (tracker, psychoeducation, and peer support) except mindfulness/meditation, which exhibited two peaks (morning and night).

Conclusions
Although the number of app installs and daily active minutes of use may seem high, only a small portion of users actually used the apps for a long period of time. More studies using different datasets are needed to understand this phenomenon and the ways in which users self-manage their condition in real-world settings.
Hubungan Teknik Nafas Dalam Terhadap Pengurangan Intensitas Nyeri Kala I Fase Aktif di Klinik Pratama Jambu Mawar
Authors: Fitri Lidia , Nova Silvia , Nurbaya Rusti 
Published: July 2019

<p><em><em>Delivery pain is a matter of physiology experienced by the mother. Most of delivery (90%) is accompanied by pain. One of non-pharmacological efforts to reduce delivery pain is a deep breathing technique. Deep breathing techniques carried out during contraction will release the hormon endorphin as a natural pain reliever in the body. The purpose of the research was to determine the relationship of deep breathing techniques to reducing pain intensity during the active phase. This research is quantitative analysis with quasi experiment approach. Population was mothers giving birth from November 2018 to January 2019. Sample using non random assignment technique consist of control and intervention group . Analysis is univariat and bivariat, data test is done by parametric statistic using “t” test to measure pain scale before and after treatment. The results research in the intervention group showed average intensity of labor pain before treatment was 5,40 and after treatment was 4,07. The different value is 1,33 with standar deviation of 1,163.The statistical test results obtained p value of 0,000 &lt;0,05, so Ho was rejected. There is a relationship of deep breathing techniques to reducing pain intensity during the active phase, the Ha was accepted</em></em></p><p><em><br /></em></p><p><em>Nyeri persalinan merupakan proses alamiah yang dirasakan ibu yang akan melahirkan. Sebagian besar (90%) persalinan disertai rasa nyeri. Salah satu upaya non-farmakologi untuk mengurangi nyeri persalinan dengan teknik nafas dalam. Teknik nafas dalam yang dilakukan pada saat kontraksi akan mengeluarkan hormon endorphin sebagai penghilang rasa sakit alami didalam tubuh. Tujuan penelitian untuk mengetahui hubungan teknik nafas dalam terhadap pengurangan intensitas nyeri kala I fase aktif. Jenis penelitian kuantitatif dengan pendekatan quasi eksperiment. Populasi seluruh ibu bersalin periode November 2018 sampai Januari 2019. Sampel dengan teknik non random assignment yang dibagi menjadi kelompok kontrol dan intervensi. Analisis data secara univariat dan bivariat, pengujian data menggunakan uji t untuk mengukur skala nyeri sebelum dan sesudah diberikan perlakuan. Hasil penelitian pada kelompok intervensi menunjukkan rata-rata intensitas nyeri persalinan sebelum diberikan perlakuan adalah 5,40 dan setelah diberikan perlakuan adalah 4,07. Terlihat nilai perbedaan adalah 1,33 dengan standar deviasi 1,163. Hasil uji statistik didapatkan nilai p 0,000 &lt; 0,05 maka Ho ditolak. Kesimpulan : terdapat hubungan antara teknik nafas dalam terhadap pengurangan intensitas nyeri kala I fase aktif, maka Ha diterima</em></p>
A ALTERIDADE EM LÉVINAS E SUA APLICABILIDADE NA HISTÓRIA. AS QUESTÕES ÉTNICO-RACIAIS SOB UM OLHAR INTERDISCIPLINAR
Authors: Tamanini Paulo Augusto 
Published: July 2019

Este artigo aborda o conceito filosófico acerca da ‘alteridade’ pensado por Emmanuel Lévinas, na tentativa de se compreender as questões da diversidade étnico-racial na atual Historiografia. Portanto, mais que pura teoria, a Filosofia torna-se carne e vida, uma ferramenta de elucidação empírica acerca do respeito à diversidade étnico-racial, nos espaços formativos, em que alunos, professores e comunidade convivem com as diferenças de gênero, etnia, profissão de fé etc. Diante de tais constatações, esta explanação para além de abordar a significação dos conceitos, diagnostica as relações humanas em sua inteireza, entre alunos e professores, em uma dinâmica inclusiva, de representatividade orgânica e participativa com a cultura do outro. Metodologicamente, mescla os conhecimentos, saberes, perspectivas e abordagens de forma multidisciplinar acerca do campo teórico da Filosofia e sua aplicabilidade em temas que se ocupa a atual Historiografia
Literatura e jornalismo: limiares
Authors: Duarte de Oliveira Maria Rosa 
Published: July 2019

O artigo focaliza os vínculos entre literatura e jornalismo a partir de algumas zonas de tensão, nas quais, mais do que fronteiras, o que se estabelece são “passagens” e “limiares”, que suspendem a separação estrita entre o literário e o jornalístico. A partir da perspectiva do campo enunciativo do discurso e de seus efeitos sobre a recepção, a análise centra-se em dois momentos: no primeiro, o foco está na atuação de escritores-jornalistas, como é o caso de Machado de Assis, em periódicos do século XIX e, no segundo, está num experimento realizado em livro anterior da autora – João Goulart na imprensa: de personalidade a personagem(2001) –, no qual uma figura pública, o presidente João Goulart, é transformada em personagem de um “romance-mosaico” construído a partir da apropriação de notícias, fotografias, charges e manchetes de três dos jornais mais influentes no período: Folha de S.Paulo,O Estado de S.Pauloe Última Hora.
Analysis of Forest Vegetal Characteristics of Akure Forest Reserve from Optical Imageries and Unmanned Aerial Vehicle Data
Authors: Gbiri Isaac Adelakun , Idoko Isaac Arome , Okegbola Michael Oketunde , Oyelakin Latifat Olaide 
Published: July 2019

Forest vegetal characteristics monitoring has a long tradition records with a success rate ranging from low to medium or high depends on the application at the hands. Details information about the indication of association of phenomena as forest indicators, such forest gap, estate and forest status, provides high spatial resolution images. The aim of this study focuses on combining unmanned Aerial Vehicles (UAVs) and satellite multispectral imaging along side by side to details forest parameter during the seasons. UAVs image at 0.15m appeared more detailed of having features such as rock, road, bare ground, riparian trees among others than that of Landsat OLI image, though the features such as rock, road, bare ground, and riparian forest were also seen on the image but it was poorly seen due to the coarse spatial resolution of 30 m. The 3-Dimensional of UAVs, relief pattern and contour from Shuttle Radar Topography Mission was also compared and this study further demonstrated on the advantages of Unmanned Aerial Vehicle data over established remotely sensed data which includes flying blow the cloud, high spatial resolution, flexibility, inexpensive of data acquisition, time effective, using video footage to detect human activities such as tree flora, burning and logging.
Wind Data Analysis, Annual Resource Estimation And Comparison With Measured Annual Energy Yield at the University Wind Turbine
Authors: Muriithi James Maina , Ngetha Harrison , Byiringiro Jean , Volkmer Kevin , Carolus Thomas 
Published: July 2019

Evaluation of the power potential of a particular type of wind turbine at a specific site is necessary for economic decisions. Therefore, the information of a wind turbine and that of a site have to be measured or predicted and then combined with the power curve of a wind turbine. The main objective of this research was to predict the power potential of the existing small wind turbine with a diameter of 3m and the wind turbine site at the University of Siegen and compare with the annual energy calculated from the measured one year of wind and turbine data. Techniques for prediction of the wind speed distribution of a site were determined and modeled. The power curve of the wind turbine was modeled from data recorded by applying a technique from the novel methods for modelling the power curve. In this research, artificial neural network, Weibull and Rayleigh are the techniques modeled to predict wind speed distribution at the wind turbine site. Rayleigh and Weibull were chosen since the two models depict a better wind speed distribution and require the mean and the standard deviation of the wind speed at the wind turbine site. A neural network trained with the backward propagation levernberg-Marquardt algorithm was applied to predict the wind speed and power potential of the wind turbine site. A comparison between Weibull, Rayleigh and the Levernberg-Marquardt trained neural network wind speed was made. The power curve of the wind turbine was successfully evaluated from wind data and wind turbine data recorded. The results indicate that the annual mean wind speed of the region is 2.54 (m/s) and about 20% of the wind availability was blowing from the west. The annual energy yield predicted from the trained neural network was 372 (kWh) closer to that determined from measured wind speed 360 (kWh) than that determined from Weibull and Rayleigh 337 and 233 (kWh) respectively. The three prediction models are applicable in any region to predict the annual energy of a particular wind turbine site with minimal data available.