bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations Between Methods of Meeting Sexual Partners and Sexual Practices Among Heterosexuals: Cross-sectional Study in Melbourne, Australia
Authors: Constantinou Heidi , Fairley Christopher K , Hocking Jane S , Bradshaw Catriona S , Choi Edmond P H , Maddaford Kate , Phillips Tiffany R , Chow Eric P F 
Published: May 2021

Background
The association between meeting partners on the web and sexual practices has been understudied in heterosexuals.

Objective
This study aims to examine the associations between the methods of meeting partners and sexual practices and HIV and sexually transmitted infections (STIs) in heterosexuals.

Methods
We conducted a survey among heterosexuals attending the Melbourne Sexual Health Centre in 2019. This survey asked about the methods through which the participants engaged in meeting their sexual partners, sexual practices, and intravenous drug use (IVDU) over the past 3 months. The participants’ HIV and STI (chlamydia, gonorrhea, and syphilis) status was obtained from clinical testing. Multivariable logistic regression was used to examine the association between each method of meeting and the participants’ sexual practices, IVDU, and STI status.

Results
A total of 698 participants (325 men and 373 women) were included in the study. Most of the participants reported using only one method to meet partners (222/325, 68.3% men; 245/373, 65.7% women; P=.05). The men met partners most commonly at social venues (eg, bar, pub, or party; 126/325, 38.8%), whereas the women met partners most commonly through friends or family (178/373, 47.7%). Paying for sex was associated with men meeting partners at sex venues (adjusted odds ratio [AOR] 145.34, 95% CI 26.13-808.51) and on the internet (AOR 10.00, 95% CI 3.61-27.55). There was no association between IVDU and methods of meeting. Social venues were associated with condomless vaginal sex among men (AOR 3.31, 95% CI 1.94-5.71) and women (AOR 2.58, 95% CI 1.61-4.13) and testing positive for STI among men (AOR 3.04, 95% CI 1.24-7.48) and women (AOR 3.75, 95% CI 1.58-8.89).

Conclusions
Heterosexuals who met partners at social venues had a more than threefold risk of testing positive for STIs, indicating that heterosexuals may benefit from health promotion campaigns that are delivered through a public setting.
An Early Warning Mobile Health Screening and Risk Scoring App for Preventing In-Hospital Transmission of COVID-19 by Health Care Workers: Development and Feasibility Study
Authors: Mbiine Ronald , Nakanwagi Cephas , Lekuya Herve Monka , Aine Joan , Hakim Kawesi , Nabunya Lilian , Tomusange Henry 
Published: May 2021

Background
Hospitals have been identified as very high-risk places for COVID-19 transmission between health care workers and patients who do not have COVID-19. Health care workers are the most at-risk population to contract and transmit the infection, especially to already vulnerable patients who do not have COVID-19. In low-income countries, routine testing is not feasible due to the high cost of testing; therefore, presenting the risk of uncontrolled transmission within non–COVID-19 treatment wards. This challenge necessitated the development of an affordable intermediary screening tool that would enable early identification of potentially infected health care workers and for early real time DNA–polymerase chain reaction testing prioritization. This would limit the contact time of potentially infected health care workers with the patients but also enable efficient use of the limited testing kits.

Objective
The aims of this study are to describe an early warning in-hospital mobile risk analysis app for screening COVID-19 and to determine the feasibility and user-friendliness of the app among health care workers.

Methods
The primary result of this research project was the development of a mobile-based daily early warning system for in-hospital transmission of COVID-19. Overall, the Early Warning System for In-Hospital Transmission of COVID-19 (EWAS) mobile app was found to be feasible, with over 69% of the health care workers having logged more than 67% of the required times. Over 93% of the participants reported that the tool was easy to use.

Results
The primary result of this research project was the development of a mobile-based daily early warning system for in-hospital transmission of COVID-19. Overall, the Early Warning System for In-Hospital Transmission of COVID-19 (EWAS) mobile app was found to be feasible, with 69% of the health care workers (69/100) having logged more than 67% of the required times. Of the 100 participants, 93 reported that the tool was easy to use.

Conclusions
The EWAS mobile app is a feasible and user-friendly daily risk scoring tool for preventing in-hospital transmission of COVID-19. Although it was not designed to be a diagnostic tool but rather a screening tool, there is a need to evaluate its sensitivity in predicting persons likely to have contracted COVID-19.
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study
Authors: Mitra Avijit , Rawat Bhanu Pratap Singh , McManus David D , Yu Hong 
Published: May 2021

Background
Accurate detection of bleeding events from electronic health records (EHRs) is crucial for identifying and characterizing different common and serious medical problems. To extract such information from EHRs, it is essential to identify the relations between bleeding events and related clinical entities (eg, bleeding anatomic sites and lab tests). With the advent of natural language processing (NLP) and deep learning (DL)-based techniques, many studies have focused on their applicability for various clinical applications. However, no prior work has utilized DL to extract relations between bleeding events and relevant entities.

Objective
In this study, we aimed to evaluate multiple DL systems on a novel EHR data set for bleeding event–related relation classification.

Methods
We first expert annotated a new data set of 1046 deidentified EHR notes for bleeding events and their attributes. On this data set, we evaluated three state-of-the-art DL architectures for the bleeding event relation classification task, namely, convolutional neural network (CNN), attention-guided graph convolutional network (AGGCN), and Bidirectional Encoder Representations from Transformers (BERT). We used three BERT-based models, namely, BERT pretrained on biomedical data (BioBERT), BioBERT pretrained on clinical text (Bio+Clinical BERT), and BioBERT pretrained on EHR notes (EhrBERT).

Results
Our experiments showed that the BERT-based models significantly outperformed the CNN and AGGCN models. Specifically, BioBERT achieved a macro F1 score of 0.842, outperforming both the AGGCN (macro F1 score, 0.828) and CNN models (macro F1 score, 0.763) by 1.4% (P<.001) and 7.9% (P<.001), respectively.

Conclusions
In this comprehensive study, we explored and compared different DL systems to classify relations between bleeding events and other medical concepts. On our corpus, BERT-based models outperformed other DL models for identifying the relations of bleeding-related entities. In addition to pretrained contextualized word representation, BERT-based models benefited from the use of target entity representation over traditional sequence representation
Determinants of Catalan Public Primary Care Professionals’ Intention to Use Digital Clinical Consultations (eConsulta) in the Post–COVID-19 Context: Mixed Methods Study
Authors: Saigí-Rubió Francesc , Vidal-Alaball Josep , Torrent-Sellens Joan , Jiménez-Zarco Ana , López Segui Francesc , Carrasco Hernandez Marta , Alzaga Reig Xavier , Bonet Simó Josep Maria , Abizanda González Mercedes , Piera-Jimenez Jordi , Solans Oscar 
Published: May 2021

Background
Telemedicine has become a necessary component of clinical practice for the purpose of providing safer patient care during lockdowns due to the COVID-19 pandemic. It has been used to support the health care needs of patients with COVID-19 and routine primary care patients alike. However, this change has not been fully consolidated.

Objective
The objective of this study was to analyze the determinants of health care professionals’ intention to use the eConsulta digital clinical consultation tool in the post–COVID-19 context.

Methods
A literature review of the Technology Acceptance Model allowed us to construct a theoretical model and establish a set of hypotheses on the influence of a variety of different factors relating to health care professionals, as well as the institutions where they work, on their intention to use eConsulta. In order to confirm the proposed model, a mixed qualitative and quantitative methodology was used, and a questionnaire was designed to serve as the data collection instrument. The data were analyzed using univariate and bivariate analysis techniques. To confirm the theoretical model, exploratory factor analysis and binary logistic regression were applied.

Results
The most important variables were related to perceived benefits (B=2.408) and the type of use that individuals habitually made of eConsulta (B=0.715). Environmental pressure (B=0.678), experience with technology (B=0.542), gender (B=0.639), and the degree to which eConsulta had been implemented (B=0.266) were other variables influencing the intention to use the tool in the post–COVID-19 context. When replicating the previous analysis according to professional group, experience with technology and gender in the physician group, and experience with tool use and the center where a professional worked in the nurse group, were found to be of considerable importance.

Conclusions
The implementation and use of eConsulta had increased significantly as a consequence of the COVID-19 pandemic, and the majority of health care professionals were satisfied with its use in practice and planned to incorporate it into their practices in the post–COVID-19 context. Perceived benefits and environmental pressure were determining factors in their attitude toward and intention to use eConsulta.
Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study
Authors: Zhang Yuezhou , Folarin Amos A , Sun Shaoxiong , Cummins Nicholas , Ranjan Yatharth , Rashid Zulqarnain , Conde Pauline , Stewart Callum , Laiou Petroula , Matcham Faith , Oetzmann Carolin , Lamers Femke , Siddi Sara , Simblett Sara , Rintala Aki , Mohr David C , Myin-Germeys Inez , Wykes Til , Haro Josep Maria , Penninx Brenda W J H , Narayan Vaibhav A , Annas Peter , Hotopf Matthew , Dobson Richard J B ,   RADAR-CNS Consortium
Published: May 2021

Background
Research in mental health has found associations between depression and individuals’ behaviors and statuses, such as social connections and interactions, working status, mobility, and social isolation and loneliness. These behaviors and statuses can be approximated by the nearby Bluetooth device count (NBDC) detected by Bluetooth sensors in mobile phones.

Objective
This study aimed to explore the value of the NBDC data in predicting depressive symptom severity as measured via the 8-item Patient Health Questionnaire (PHQ-8).

Methods
The data used in this paper included 2886 biweekly PHQ-8 records collected from 316 participants recruited from three study sites in the Netherlands, Spain, and the United Kingdom as part of the EU Remote Assessment of Disease and Relapse-Central Nervous System (RADAR-CNS) study. From the NBDC data 2 weeks prior to each PHQ-8 score, we extracted 49 Bluetooth features, including statistical features and nonlinear features for measuring the periodicity and regularity of individuals’ life rhythms. Linear mixed-effect models were used to explore associations between Bluetooth features and the PHQ-8 score. We then applied hierarchical Bayesian linear regression models to predict the PHQ-8 score from the extracted Bluetooth features.

Results
A number of significant associations were found between Bluetooth features and depressive symptom severity. Generally speaking, along with depressive symptom worsening, one or more of the following changes were found in the preceding 2 weeks of the NBDC data: (1) the amount decreased, (2) the variance decreased, (3) the periodicity (especially the circadian rhythm) decreased, and (4) the NBDC sequence became more irregular. Compared with commonly used machine learning models, the proposed hierarchical Bayesian linear regression model achieved the best prediction metrics (R2=0.526) and a root mean squared error (RMSE) of 3.891. Bluetooth features can explain an extra 18.8% of the variance in the PHQ-8 score relative to the baseline model without Bluetooth features (R2=0.338, RMSE=4.547).

Conclusions
Our statistical results indicate that the NBDC data have the potential to reflect changes in individuals’ behaviors and statuses concurrent with the changes in the depressive state. The prediction results demonstrate that the NBDC data have a significant value in predicting depressive symptom severity. These findings may have utility for the mental health monitoring practice in real-world settings.
Genetic relationships in Saccharum complex germplasm collections based on morphological and molecular markers
Authors: WIDYASARI Wiwit Budi , DAMANHURI . 
Published: May 2021

and is a cross-pollinator, so information about the genetic relationship between the accessions in germplasm collections is very important for selecting the prospective parent in crossbreeding. This research aims to determine the phylogenetic relationship of 24 Saccharum complex accessions and to verify the grouping of accessions using 37 morphological and three microsatellite molecular markers. Interpretation of morphological and molecular data was obtained from the analysis using the NTYSYpc-2.02i program. The results show that within the 24 accessions analyzed using morphological markers, some accessions did not cluster as the classification at the conservation time. This difference is due to the morphological markers, descriptions of characters that do not appear are considered as the same variables though in different morphological characters, so this increases the value of genetic similarity among accessions analyzed. In contrast, the grouping of molecular markers shows that each accession was grouped according to the classification at the conservation time. These accessions had a low genetic similarity of 0.20 with a broad genetic distance of 0.80. This broad genetic distance indicates that the twenty-four accessions have a distant genetic relationship with one another, so that the genetic diversity of these accessions is relatively high. The high genetic diversity in germplasm collections improves its potential as a crossing parent to obtain a high heterosis effect.
Pensamiento computacional, una estrategia educativa en épocas de pandemia
Authors: Mantilla Guiza Rafael Ricardo , Negre Bennasar Francisca 
Published: May 2021

La educación tiene por tarea preparar individuos para retos, necesidades y oportunidades de un mundo globalizado; ahora con tecnología permeando las actividades del ser humano, teorías de aprendizaje tradicionales sin reconocer elementos de la alfabetización digital (conductismo, cognitivismo y constructivismo). Demandan cambios de pensamiento y más aún con la presencia del COVID-19, pandemia que impulsó aislamientos físicos sociales; aumentando la necesidad de dominar escenarios digitales. Lo anterior resalta al pensamiento computacional, como estrategia efectiva aplicada con el modelo presentado por el MIT-Harvard, con marco teórico definido y aplicado desde el año 2012. El objetivo de la investigación es diagnosticar el nivel de formación de competencias del pensamiento computacional para resolver problemas; y establecer desde un estudio cuantitativo con diseño no experimental transeccional la correlacional entre: las dimensiones conceptual, práctica y perspectiva computacional, con el desarrollo de competencias en pensamiento computacional para resolver problemas, implementado en un colegio público de Colombia con 133 estudiantes de educación media. El instrumento de diagnóstico, validado y categorizado por 32 problemas, dimensiona las habilidades para generar competencias, con similitudes al sistema educativo colombiano que promueve los aprendizajes con: el saber, saber hacer y saber ser; lo anterior se consolida como insumos para la generación de un ecosistema virtual de aprendizaje.
Analysis of the motivation of English as a second language in higher education students in Mexican context
Authors: Alemán-Aguilar Carolina Guadalupe , Portillo Vázquez Marcos 
Published: May 2021

La presente investigación forma parte del trabajo de tesis doctoral “Factores que afectan la motivación para el aprendizaje de los alumnos en las clases de inglés a nivel superior”, en el marco del Doctorado en
Ciencias en Educación Agrícola Superior que se imparte en la Universidad Autónoma Chapingo, México. Tiene como objetivo realizar un diagnóstico inicial de la motivación de los estudiantes de inglés como segunda lengua en la Universidad Autónoma del Estado de México, UAEM Texcoco. Dicho diagnóstico será el punto de partida que permita con base en las características de los alumnos diseñar un cuestionario adaptado al contexto de una universidad mexicana, haciendo uso de las variables del cuestionario AMTB (Test de Actitud y Motivación), de R C Gardner, que se adecuen al contexto de los estudiantes de la UAEM identificar los principales factores que afectan el aprendizaje de L2 de los estudiantes.
Los resultados muestran que los alumnos manifiestan sentirse motivados por actividades como escuchar conversaciones o música en inglés y principalmente por acceder a un buen empleo al terminar sus estudios, en contraste manifiestan sentirse desmotivados por no contar con técnicas de estudio adecuadas, así como malas experiencias en cursos anteriores.
Práticas artísticas comunitárias e participação cívica e política na ação de três grupos teatrais em Portugal
Authors: Cruz Hugo , Menezes Isabel , Bezelga Isabel 
Published: May 2021

As práticas artísticas comunitárias têm-se afirmado como uma arena de tensão construtiva entre proposta artística e perspetivas políticas, educativas, sociais e comunitárias. O território híbrido e diverso destas práticas é o espaço de construção deste estudo, que assenta em entrevistas semiestruturadas e grupos de discussão focalizada com três coletivos de teatro portugueses, oriundos de territórios urbanos e rurais, que desenvolvem, de forma continuada, práticas artísticas comunitárias. Os objetivos do estudo centram-se na identificação das potencialidades e fragilidades emergentes nos processos criativos e na participação associada aos mesmos e na investigação das ligações entre o fazer teatral e a participação cívica e política. As conclusões, decorrentes da análise, permitem identificar três temas e respetivas relações: experiências de participação cívica e política anteriores à integração nos grupos teatrais; conceções de teatro; e efeitos percebidos na participação cívica e política. Discutem-se as conexões entre abordagens teatrais e princípios educativos e comunitários, predisposições associadas à participação cívica e política e os contextos sociais, políticos, educativos e culturais alargados dos grupos. Estes aspetos evidenciam-se no desenvolvimento de conceções de teatro que integram a dimensão política e nos efeitos percebidos (individuais, grupais e comunitários) pelos participantes do estudo.

Submetido: 19.07.2020Aceite: 15.12.2020
Review of best classification systems for diagnosing and treating thoracolumbar spine trauma
Authors: Barcelos Alecio Cristino Evangelista Santos , Onishi Franz Jooji , Joaquim Andrei Fernandes , Botelho Ricardo Vieira 
Published: May 2021

Background:Improved thoracolumbar spine trauma classification (TLSTC) systems can better help diagnose and treat thoracolumbar spine trauma (TLT). Here, we identified the types of injury (rationale and description), instability criteria, and treatment guidelines of TLSTC.Methods:We used the PubMed/MEDLINE database to assess TLSTC according to the following variables: injury morphology, injury mechanism, spinal instability criteria, neurological status, and treatment guidelines.Results:Twenty-one studies, 18 case series and three reviews were included in the study. Treatment guidelines were proposed in 16 studies. The following three major parameters were identified in TLSTC studies: injury morphology (19/21 studies), posterior ligamentous complex (PLC) disruption alone as the main spinal instability criterion (15 studies), and neurological damage (12 studies). Most classification systems neglected the severity of vertebral body comminution.Conclusion:We identified here the 3 main parameters for the evaluation of diagnosis and treatment of TLT: injury morphology, PLC disruption, and neurological damage. Based on our review, we may conclude that further clinical validation studies of TLSTC are warranted.
The Initial Assessment of Nurse Knowledge to Response Time in Traffic Accident Case
Authors: Khairari Nandang DD 
Published: May 2021

The occurrence of patients with traffic accidents is increased so much that the nurses need to enhance the knowledge of the response time services in the service of traffic accident cases. This research is to define the relationship between the nurses’ knowledge level to the initial assessment of the nurses’ response time in the service of traffic accident cases in the emergency departments. The study was conducted in the emergency room of Dr R. Soedjono Selong Hospital. The study was quantitative with cross-sectional planning. Total sampling was used and obtained 25 respondents. The results showed that nurses' knowledge level is 80% categorized as well, 16% categorized as moderate and 4% categorized as low. For nurse response time, 96% categorized as fast and 4% categorized as slow. The statistical test was used the chi-square test with SPSS. The P-value is 0,000, which implies there is a relationship between nurse knowledge level to the initial assessment of the nurses’ response time in the service of traffic accident cases.
WORKS WITH AN INACCESSIBLE COPYRIGHT HOLDER (ORPHAN WORKS) AND PROBLEMS OF THEIR TRANSITION TO THE PUBLIC DOMAIN
Authors: Zanin Vadim , Ivanova Yuliya 
Published: May 2021

An orphan work is a work for which the copyright has probably not expired, but at the same time there is no possibility to find the copyright holder. Such works cannot be published; they can only be accessed in libraries, archives, or private collections. In particular, such works may not be allowed to be published on the Internet, nor may they be included in anthologies or used in part in other works. The problem of such works greatly limits the scope of the public domain, since due to the lack of registered data on the owners of property rights, a significant part of the works that could be available as public domain have an uncertain legal status.
Resiliencia familiar en situaciones de confinamiento generadas por el Covid-19
Authors: García María de las Olas Palma , Hurtubia Toro Verónica , Acuña Faúndez Marcelo , Gil Hernández Gloria Elena 
Published: May 2021

La mayoría de las investigaciones sobre resiliencia familiar se han focalizado en el estudio de familias con prácticas disfuncionales. Por lo mismo, el presente estudio se propone indagar sobre grupos familiares funcionales que enfrentan situaciones de estrés, como la generada por la pandemia del Covid-19, durante el periodo de confinamiento. Se presentan los datos preliminares de un estudio observacional de tipo exploratorio no experimental en el que participan 388 sujetos de México y España, entre los que se compara el nivel de resiliencia familiar e individual con potenciales factores estresores (condiciones de la vivienda, situación laboral, etc.). La correlación entre los resultados demuestra una significación consistente entre los niveles de resiliencia familiar e individual, mientras que los potenciales factores estresores no parecen tener un impacto significativo en los niveles de resiliencia.