bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Efficient Multiple Kernel Support Vector Regression Model for Assessing Dry Weight of Hemodialysis Patients
Authors: Guo Xiaoyi , Zhou Wei , Shi Bin , Wang Xiaohua , Du Aiyan , Ding Yijie , Tang Jijun , Guo Fei 
Published: June 2020

Background:
Dry Weight (DW) is the lowest weight after dialysis, and patients with
lower weight usually have symptoms of hypotension and shock. Several clinical-based approaches
have been presented to assess the dry weight of hemodialysis patients. However, these traditional
methods all depend on special instruments and professional technicians.

Objective:
In order to avoid this limitation, we need to find a machine-independent way to assess dry
weight, therefore we collected some clinical influencing characteristic data and constructed a
Machine Learning-based (ML) model to predict the dry weight of hemodialysis patients.

Methods::
In this paper, 476 hemodialysis patients' demographic data, anthropometric measurements,
and Bioimpedance spectroscopy (BIS) were collected. Among them, these patients' age, sex, Body
Mass Index (BMI), Blood Pressure (BP) and Heart Rate (HR) and Years of Dialysis (YD) were
closely related to their dry weight. All these relevant data were used to enter the regression equation.
Multiple Kernel Support Vector Regression-based on Maximizes the Average Similarity (MKSVRMAS)
model was proposed to predict the dry weight of hemodialysis patients.

Result:
The experimental results show that dry weight is positively correlated with BMI and HR.
And age, sex, systolic blood pressure, diastolic blood pressure and hemodialysis time are negatively
correlated with dry weight. Moreover, the Root Mean Square Error (RMSE) of our model was
1.3817.

Conclusion:
Our proposed model could serve as a viable alternative for dry weight estimation of
hemodialysis patients, thus providing a new way for clinical practice. Our proposed model could serve as a viable alternative of dry weight estimation for hemodialysis patients,
thus providing a new way for the clinic.
Analysis of Codon Usage Patterns in the Human Papillomavirus Oncogenes
Authors: Cho Myeongji , Kim Hayeon , Je Mikyeong , Son Hyeon S. 
Published: June 2020

Background:
Persistent high-risk genital human papillomavirus (HPV) infection is a major cause of cervical
cancer in women. The products of the viral transforming genes E6 and E7 in the high-risk HPVs are known to be similar
in their amino acid composition and structure. We performed a comparative analysis of codon usage patterns in the E6
and E7 genes of HPVs.

Methods:
The E6 and E7 gene sequences of eight HPV subtypes were analyzed to determine their nucleotide
composition, relative synonymous codon usage (RSCU), effective number of codons (ENC), neutrality, genetic
variability, selection pressure, and codon adaptation index (CAI). Additionally, a correspondence analysis (CoA) was
performed.

Results:
The analysis to determine the effects of differences in composition on the codon usage patterns revealed that
there may be usage bias for ‘A’ nucleotides. This was consistent with the results of the RSCU analysis, which
demonstrated that the selection of A/T-rich patterns and the preference for A/T-ended codons in HPVs are influenced by
compositional constraints. Moreover, the results reveal that selection pressure plays an important role in the CoA results
for the RSCU values, Tajima’s D tests, and neutrality tests.

Conclusion:
The results of this study are consistent with previous findings that most papillomavirus genes are under
purifying selection pressure, which limits changes to the encoded proteins. Natural selection and mutation pressures
resulting in changes in the nucleotide composition and codon usage bias in the two tumor genes of HPV act differently
during the evolution of the HPV subtype; thus, throughout the viral life cycle, HPV can constantly evolve to adapt to a
new environment.
Intensive reading and extensive reading in teaching reading comprehension
Authors: Muchtar Naely 
Published: June 2020

The research investigated the implementation of Intensive Reading (IR) and Extensive Reading (ER) that is suitable for English class in Polytechnic that focuses on the ability of English practice. This research is a Classroom Action Research (CAR), which consists of three stages, namely pretest, treatment, and posttest. Based on the results of the pretest, it can be concluded that reading skill of the second semester students from Computer and Networking Engineering study program before the implementation of IR and ER method were still relatively low, in the classification of poor (25%) represented by 11 students and in very poor classification (18.2%) achieved by 8 students. After three times treatment by using three different articles for English reading text, the reading skill of students increased significantly in the presence of 2 students (4.5%) in the classification of very good and there were only 6 students were in poor and very poor classification. Based on posttest result, reading skill of students enhance significantly with 5 students (11.4%) were in very good classification.
Incorporating Cultural Exposure into Teaching Practices: Native Speaker Teacher vs Indonesian EFL Teacher
Authors: Sari Rima Purwita 
Published: June 2020

As English language teacher, both Native English Speaker Teacher (NEST) and Indonesian EFL Teacher own professional competence as well their perception, assumption, beliefs and values that are shaped by their social and cultural interaction. They bring with them their personal and professional attributes into the classroom. As language and cultural aspects are interrelated, particularly since English is now a lingua franca, thus exploring how the different professional and personal background of English language teachers relates to their teaching becomes essential. The purpose of this study is to examine how teachers’ cultural exposure of the target language is incorporated and affects their teaching. This study is qualitative in nature, aiming to describe how the cultural exposures of three different types of teachers are reflected in their teaching practices. Data collection is done through semi-structured interview, class observation and document analysis. The finding shows that teacher’s cultural exposure affects their teaching philosophy and attitude considerably large, particularly in their perspective towards student-teacher rapport. The incorporation of the cultural exposure is done through content of teaching materials and instruction in the classroom. The three types of teacher demonstrate a similar approach and methods when teaching the language, despite the differences in their cultural exposure of the target language.
Occupation Coding of Job Titles: Iterative Development of an Automated Coding Algorithm for the Canadian National Occupation Classification (ACA-NOC)
Authors: Bao Hongchang , Baker Christopher J O , Adisesh Anil 
Published: June 2020

Background
In many research studies, the identification of social determinants is an important activity, in particular, information about occupations is frequently added to existing patient data. Such information is usually solicited during interviews with open-ended questions such as “What is your job?” and “What industry sector do you work in?” Before being able to use this information for further analysis, the responses need to be categorized using a coding system, such as the Canadian National Occupational Classification (NOC). Manual coding is the usual method, which is a time-consuming and error-prone activity, suitable for automation.

Objective
This study aims to facilitate automated coding by introducing a rigorous algorithm that will be able to identify the NOC (2016) codes using only job title and industry information as input. Using manually coded data sets, we sought to benchmark and iteratively improve the performance of the algorithm.

Methods
We developed the ACA-NOC algorithm based on the NOC (2016), which allowed users to match NOC codes with job and industry titles. We employed several different search strategies in the ACA-NOC algorithm to find the best match, including exact search, minor exact search, like search, near (same order) search, near (different order) search, any search, and weak match search. In addition, a filtering step based on the hierarchical structure of the NOC data was applied to the algorithm to select the best matching codes.

Results
The ACA-NOC was applied to over 500 manually coded job and industry titles. The accuracy rate at the four-digit NOC code level was 58.7% (332/566) and improved when broader job categories were considered (65.0% at the three-digit NOC code level, 72.3% at the two-digit NOC code level, and 81.6% at the one-digit NOC code level).

Conclusions
The ACA-NOC is a rigorous algorithm for automatically coding the Canadian NOC system and has been evaluated using real-world data. It allows researchers to code moderate-sized data sets with occupation in a timely and cost-efficient manner such that further analytics are possible. Initial assessments indicate that it has state-of-the-art performance and is readily extensible upon further benchmarking on larger data sets.
Perceptions and Experiences of Internet-Based Testing for Sexually Transmitted Infections: Systematic Review and Synthesis of Qualitative Research
Authors: Spence Tommer , Kander Inès , Walsh Julia , Griffiths Frances , Ross Jonathan 
Published: June 2020

Background
Internet-based testing for sexually transmitted infections (STIs) allows asymptomatic individuals to order a self-sampling kit online and receive their results electronically, reducing the need to attend a clinic unless for treatment. This approach has become increasingly common; however, there is evidence that barriers exist to accessing it, particularly among some high-risk populations. We review the qualitative evidence on this topic, as qualitative research is well-placed to identify the complex influences that relate to accessing testing.

Objective
This paper aims to explore perceptions and experiences of internet-based testing for STIs among users and potential users.

Methods
Searches were run through 5 electronic databases (CINAHL, EMBASE, MEDLINE, PsycINFO, and Web of Science) to identify peer-reviewed studies published between 2005 and 2018. Search terms were drawn from 4 categories: STIs, testing or screening, digital health, and qualitative methods. Included studies were conducted in high-income countries and explored patient perceptions or experiences of internet-based testing, and data underwent thematic synthesis.

Results
A total of 11 studies from the 1735 studies identified in the initial search were included in the review. The synthesis identified that internet-based testing is viewed widely as being acceptable and is preferred over clinic testing by many individuals due to perceived convenience and anonymity. However, a number of studies identified concerns relating to test accuracy and lack of communication with practitioners, particularly when receiving results. There was a lack of consensus on preferred media for results delivery, although convenience and confidentiality were again strong influencing factors. The majority of included studies were limited by the fact that they researched hypothetical services.

Conclusions
Internet-based testing providers may benefit from emphasizing this testing’s comparative convenience and privacy compared with face-to-face testing in order to improve uptake, as well as alleviating concerns about the self-sampling process. There is a clear need for further research exploring in depth the perceptions and experiences of people who have accessed internet-based testing and for research on internet-based testing that explicitly gathers the views of populations that are at high risk of STIs.

Trial Registration
PROSPERO CRD42019146938; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=146938
Blended Care-Cognitive Behavioral Therapy for Depression and Anxiety in Real-World Settings: Pragmatic Retrospective Study
Authors: Lungu Anita , Jun Janie Jihee , Azarmanesh Okhtay , Leykin Yan , Chen Connie E-Jean 
Published: June 2020

BackgroundThe past few decades saw considerable advances in research and dissemination of evidence-based psychotherapies, yet available treatment resources are not able to meet the high need for care for individuals suffering from depression or anxiety. Blended care psychotherapy, which combines the strengths of therapist-led and internet interventions, can narrow this gap and be clinically effective and efficient, but has rarely been evaluated outside of controlled research settings.ObjectiveThis study evaluated the effectiveness of a blended care intervention (video-based cognitive behavior therapy and internet intervention) under real-world conditions.MethodsThis is a pragmatic retrospective cohort analysis of 385 participants with clinical range depression and/or anxiety symptoms at baseline, measured using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), who enrolled in blended care psychotherapy treatment. Participants resided in the United States and had access to the blended care intervention as a mental health benefit offered through their employers. Levels of depression and anxiety were tracked throughout treatment. Hierarchical linear modeling was used to examine the change in symptoms over time. The effects of age, gender, and providers on participants’ symptom change trajectories were also evaluated. Paired sample t-tests were also conducted, and rates of positive clinical change and clinically significant improvement were calculated.ResultsThe average depression and anxiety symptoms at 6 weeks after the start of treatment were 5.94 and 6.57, respectively. There were significant linear effects of time on both symptoms of depression and anxiety (β=–.49, P<.001 and β=–.64, P<.001). The quadratic effect was also significant for both symptoms of depression and anxiety (β=.04, P<.001 for both), suggesting a decelerated decrease in symptoms over time. Approximately 73% (n=283) of all 385 participants demonstrated reliable improvement, and 83% (n=319) recovered on either the PHQ-9 or GAD-7 measures. Large effect sizes were observed on both symptoms of depression (Cohen d=1.08) and of anxiety (d=1.33).ConclusionsVideo blended care cognitive behavioral therapy interventions can be effective and efficient in treating symptoms of depression and anxiety in real-world conditions. Future research should investigate the differential and interactive contribution of the therapist-led and digital components of care to patient outcomes to optimize care.
Usability Methods and Attributes Reported in Usability Studies of Mobile Apps for Health Care Education: Protocol for a Scoping Review
Authors: Johnson Susanne Grødem , Potrebny Thomas , Larun Lillebeth , Ciliska Donna , Olsen Nina Rydland 
Published: June 2020

Background
E-learning technologies, including mobile apps, are used to a large extent in health care education. Mobile apps can provide extendable learning environments and motivate students for adaptive and collaborative learning outside the classroom context. Developers should design practical, effective, and easy-to-use mobile apps. Usability testing is an important part of app development in order to understand if apps meet the needs of users.

Objective
The aim of this study is to perform a scoping review of usability methods and attributes reported in usability studies of mobile apps for health care education.

Methods
The scoping review is guided by the methodological framework developed by Arksey & O’Malley and further developed by Levac et al and Kahlil et al. The stages we will follow are as follows: (1) identifying the research question; (2) identifying relevant studies; (3) selecting studies; (4) charting the data; and (5) summarizing and reporting the results. We have developed two research questions to meet the aim of the study, which are as follows: (1) What usability methods are used to evaluate the usability of mobile apps for health care education? and (2) What usability attributes are reported in the usability studies of mobile apps for health care education? We will apply a comprehensive search of the literature, including 10 databases, a reference search, and a search for grey literature. Two review authors will independently screen articles for eligibility.

Results
The initial electronic database searches were completed in March 2019. The literature search identified 14,297 unique references. Following title and abstract screening, the full texts of 369 records were obtained. The scoping review is expected to be completed in spring 2021.

Conclusions
We expect the overview of usability methods and attributes reported in usability studies of mobile apps for health care education to contribute to the knowledge base for researchers and developers. It will give an overview of the research field and provide researchers and developers with relevant and important information on the usability research area, including highlighting possible research gaps.

International Registered Report Identifier (IRRID)
DERR1-10.2196/19072
A Novel Educational Control Group Mobile App for Meditation Interventions: Single-Group Feasibility Trial
Authors: Huberty Jennifer , Eckert Ryan , Puzia Megan , Laird Breanne , Larkey Linda , Mesa Ruben 
Published: June 2020

Background
Smartphone ownership is becoming ubiquitous among US adults, making the delivery of health interventions via a mobile app (ie, mobile health [mHealth]) attractive to many researchers and clinicians. Meditation interventions have become popular and have been delivered to study participants via mobile apps to improve a range of health outcomes in both healthy adults and those with chronic diseases. However, these meditation mHealth interventions have been limited by a lack of high-quality control groups. More specifically, these studies have lacked consistency in their use of active, time-matched, and attention-matched control groups.

Objective
The purpose of this study is to beta test a novel health education podcast control condition delivered via a smartphone app that would be a strong comparator to be used in future studies of app-based meditation interventions.

Methods
Patients with myeloproliferative neoplasm (MPN) cancer were recruited nationally. Upon enrollment, participants were informed to download the investigator-developed health education podcast app onto their mobile phone and listen to ~60 min/week of cancer-related educational podcasts for 12 weeks. The benchmarks for feasibility included ≥70% of participants completing ≥70% of the prescribed 60 min/week of podcasts, ≥70% of participants reporting that they were satisfied with the intervention, and ≥70% of participants reporting that they enjoyed the health education podcasts.

Results
A total of 96 patients with MPN were enrolled in the study; however, 19 never began the intervention. Of the 77 patients who participated in the intervention, 39 completed the entire study (ie, sustained participation through the follow-up period). Participation averaged 103.2 (SD 29.5) min/week. For 83.3% (10/12) of the weeks, at least 70% of participants completed at least 70% of their total prescribed use. Almost half of participants reported that they enjoyed the health education podcasts (19/39, 48.7%) and were satisfied with the intervention (17/39, 43.6%). There were no significant changes in cancer-related outcomes from baseline to postintervention.

Conclusions
A 12-week, health education podcast mobile app was demanded but not accepted in a sample of patients with cancer. Using the mobile app was not associated with significant changes in cancer-related symptoms. Based on findings from this study, a health education podcast mobile app may be a feasible option as a time- and attention-matched control group for efficacy trials with more extensive formative research for the content of the podcasts and its acceptability by the specific population.

Trial Registration
ClinicalTrials.gov NCT03907774; https://clinicaltrials.gov/ct2/show/NCT03907774
User-Dependent Usability and Feasibility of a Swallowing Training mHealth App for Older Adults: Mixed Methods Pilot Study
Authors: Kim HyangHee , Lee Sang-Ho , Cho Nam-Bin , You Heecheon , Choi Teukgyu , Kim Jinwon 
Published: June 2020

Background
Swallowing difficulties (ie, dysphagia) are common among older adults, with a 13% to 54% prevalence. Adequate interventions to improve the swallowing function of older adults would reduce morbidity and enhance health-related quality of life outcomes. Mobile health (mHealth) apps may help alleviate dysphagia symptoms by providing programs that maximize the intensity and frequency of training without requiring high costs or regular clinic visits.

Objective
The aim of this pilot study was to assess the usability of swallowing training apps by quantitatively and qualitatively evaluating older adults’ self-reported data, taking into consideration their educational levels and exposure to mobile technology. We conducted surveys and brief interviews while the participants used a swallowing intervention app we developed. We subsequently identified and resolved individual-specific usability issues to improve future implementation of the app protocol for older persons with swallowing difficulties.

Methods
A total of 11 participants (10 women, 91%; mean age 75.7 years, SD 3.93) from two district-run senior welfare centers took part in this study. The participants were divided into a high-potential group and a low-potential group based on their total number of years of education and smart device usage. To investigate the usability of the app twice (ie, in the second week of the intervention and the postintervention stage), we used mixed methods consisting of both quantitative approaches, namely the System Usability Scale (SUS) and modified Computer Self-Efficacy Scale (mCSES) surveys, and qualitative approaches (ie, interviews).

Results
The quantitative results of the SUS and mCSES surveys revealed that the high-potential group was more inclined to adopt and learn new technology than the low-potential group. Specifically, within the high-potential group, a Wilcoxon signed-rank test indicated that the postintervention mCSES scores (median 65.50) were significantly higher than those in the second week of intervention (median 54.00; z=–2.023, P=.04). Additionally, the usability scores in the low-potential group were within the “marginal acceptability” range even after completion of an 8-week intervention program. Qualitative analyses via semi-structured interviews yielded promising outcomes regarding app acceptability, training program utilization, emotional responses, and learning experience.

Conclusions
To the best of the authors’ knowledge, this usability and feasibility study is the first report of a swallowing training app designed to improve the swallowing function of older adults. Future research should consider several issues, such as user characteristics, pretraining education, and the intensity and innate characteristics of the intervention program.