bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resilience to COVID-19: Socioeconomic Disadvantage Associated With Higher Positive Parent-youth Communication and Youth Disease-prevention Behavior
Authors: Marshall Andrew , Hackman Daniel , Baker Fiona , Breslin Florence , Brown Sandra , Dick Anthony , Gonzalez Marybel , Guillaume Mathieu , Kiss Orsolya , Lisdahl Krista , McCabe Connor , III William Pelham , Sheth Chandni , Tapert Susan , Rinsveld Amandine Van , Wade Natasha , Sowell Elizabeth 
Published: April 2021

Abstract
Socioeconomic disadvantage is associated with larger COVID-19 disease burdens and pandemic-related economic impacts. We utilized the longitudinal Adolescent Brain Cognitive Development Study to understand how family- and neighborhood-level socioeconomic disadvantage relate to disease burden, family communication, and preventative responses to the pandemic in over 6,000 youth-parent/caregiver dyads. Data were collected at three timepoints (May to August 2020). Here, we show that both family- and neighborhood-level disadvantage were associated with parents’ reports of greater family COVID-19 exposure risk and diagnoses, less perceived exposure risk, more frequent parent-youth conversations about COVID-19 risk/prevention and reassurance, and greater youth preventative behaviors. More disadvantaged families may be adaptively incorporating more protective strategies to reduce emotional distress and likelihood of COVID-19 infection. The results highlight the importance of parent-youth communication and disease-preventative practices for buffering the economic and disease burdens of COVID-19, along with policies and programs that reduce these burdens for families with socioeconomic disadvantage.
Determinants of under nutrition among the elderly in South Gondar Zone, Ethiopia
Authors: Yisak Hiwot , Maru Ismael , Abie Misganaw , Aragie Getachew , Ewunetei Amien , Mamuye Melkalem , Teshome Fentaw 
Published: April 2021

Abstract
Background: The number of the elderly population is expected to become the largest demographic group. Malnutrition in older adults is related with complications and premature death. The progression to malnutrition is often insidious and often undetected. No study has been ever conducted or documented to explore the nutritional status of elderly in south Gondar Zone . Hence, this study was aimed to assess the determinants of under nutrition among the elderly people aged ≥65 years. A cross-sectional study was conducted from October 1 to December 15, 2020. A community based study was conducted in south Gondar Zone, Ethiopia. A total of 290 elderly aged greater or equal to 65 years of age selected by systematic random sampling technique were included in the study. Pretested and structured questionnaire adapted from different literature was used to collect data. Anthropometric measurements; weight and height were measured following standard procedures. Mini-Nutritional Assessment (MNA) tool was used to assess nutritional status of elderly. Descriptive and summary statistics were employed. Multiple logistic regression was fitted to identify determinants of under nutrition. Odds ratios and their 95% confidence intervals were computed to determine the level of significance. Results: Based on their BMI status 27.57%, 95%CI (22.4-32.8) of elderly were underweight and 2.1%, 95% CI (0.7-3.8) were overweight. Likewise, 29.7%, 95%CI (24.5-35.2) of elderly were malnourished and 61.7%, 95% CI (55.5-67.2) were at risk of malnutrition based on Mini-Nutritional Assessment tool. Rural residence (AOR= 10.32, 95%CI (3.62-29.39)), unable to read and write (AOR = 3.54, 95%CI (1.64-7.64)), decline in food intake (AOR= 13.47, 95%CI (6.14-29.52)) and household monthly income <35.6USD (AOR = 4.32, 95%CI (1.97- 9.46)) were significantly and independently associated with under nutrition in elderly population.Conclusion: The prevalence of under nutrition among the elderly in the study area was high, and making it an important public health burden. Place of residence, educational status, food intake and household income were the determinants of under nutrition.
Chews First Delaunay Triangulation refinement Scheme-Based Positioning of RSUs for Optimal Network Coverage in VANETs
Authors: P Selvakumari , Lakshmi Sree Rathna , D Sheela , A Chinnasamy 
Published: April 2021

Abstract
The temporal network fragmentation and uncertain vehicle mobility are considered to impact the communication connectivity among the vehicular nodes of the network. In this context, Road Side Units (RSUs) play an anchor role in enhancing the vehicle-to-vehicle (V2V) communication connectivity and support Vehicle-to-Infrastructure (V2I) communication. In the current scenario, deploying a huge number of RSUs in the vehicular networks at an initial stage is completely impossible as it incurs high installation cost and authority restriction. Moreover, the optimal placement of RSUs in the vehicular network needs to be enforced for attaining maximized network coverage. In this paper, Chews First Delaunay Triangulation Refinement Scheme (CFDTRS) is proposed for optimal positioning of RSUs in order to attain optimal network coverage in the vehicular network with minimized cost. This CFDTRS considered the factors of vehicular density, number of obstacles in the map, intersection popularity and global coverage into account during the placement of RSUs. It is proposed with the objective of deploying required number of RSUs within the range of data transmission in order to achieve maximal coverage in the convex map, such that each area of the convex map is completely covered with at least a single RSU in the existence of multiple number of obstacles. The simulation results of the proposed CFDTRS attained from the real time situations of simplex, moderate and complex maps confirmed improved packet delivery rate of 9.32%, throughput by 10.74% with minimized packet loss of 9.14% and reduced end-to-end delay of 19.31$, compared to the benchmarked schemes considered for investigation.
Multi-omics Analysis of Redox Imbalance-Related Mild Health Problems in Monkeys
Authors: Hamano Fumie , Tokuoka Suzumi M , Ishibashi Megumi , Yokoi Yasuto , Tourlousse Dieter M , Kita Yoshihiro , Sekiguchi Yuji , Yasui Hiroyuki , Shimizu Takao , Oda Yoshiya 
Published: April 2021

Abstract
Certain symptoms associated with mild sickness and lethargy have not been categorized as definitive diseases. Confirming such symptoms in captive monkeys (Macaca fascicularis) can be difficult; however, it is possible to observe and analyze their feces. Even among monkeys that are housed under carefully monitored conditions, some monkeys occasionally have poor stool conditions. In this study, we investigated the relationship between stool state and various omics data by considering objective and quantitative values of stool water content as a phenotype for analysis. By examining the food intake of the monkeys, the stool and urine they expel, and the plasma circulating in their bodies, we attempted to obtain a comprehensive understanding of the health status of a single individual and understand its relationship with stool condition. Our metabolomics data strongly suggested an association between lipids and stool water content. Lipidomic analysis revealed the involvement of saturated and oxidized fatty acids, metallomics revealed the contribution of selenium (a bio-essential trace element), and intestinal microbiota analysis revealed the association of several bacterial species with the stool water content. Taken together, these results suggest that selenium-induced disturbance in redox balance may cause minor health problems.
Trend analysis of seasonal rainfall and temperature pattern in Damota Gale districts of Wolaita Zone, Ethiopia
Authors: Bojago Elias , YaYa Dalga 
Published: April 2021

Abstract
This paper investigated the recent trends of precipitation and temperature on Damota Gale districts of Wolaita Zone. This study used the observed historical meteorological data from 1987 to 2019 to analyze the trends. The magnitude of the variability or fluctuations of the factors varies according to locations. Hence, examining the spatiotemporal dynamics of meteorological variables in the context of changing climate, particularly in countries where rain-fed agriculture is predominant, is vital to assess climate-induced changes and suggest feasible adaptation strategies. Both rainfall and temperature data for a period of 1987 to 2019 were analyzed in this study. Statistical trend analysis techniques namely Mann–Kendall test and Sen's slope estimator were used to examine and analyze the problems. The long-term trend of rainfall and temperature was evaluated by linear regression and Mann–Kendall test. The temperature was shown a positive trend for both annual and seasonal periods and had a statistical significance of 95%. This study concluded that there was a declining rainfall in the three seasons; spring, summer and winter but in autumn it shows increasing trends and rapid warming, especially in the last 32 years. The detailed analysis of the data for 32 years indicate that the annual maximum temperature and annual minimum temperature have shown an increasing trend, whereas the Damota Gale seasonal maximum and minimum temperatures have shown an increasing trend. The findings of this study will serve as a reference for climate researchers, policy and decision-makers.
Pain Self-Management Strategies of Chronic Back Pain Sufferers in Thailand: A Qualitative Study (A Doctoral Project)
Authors: Rujipong Petcharat , Kantaruksa Kannika , Chaloumsuk Nonglak , Yothayai Chanchai 
Published: April 2021

Background:
Chronic low back pain is among the most common chronic musculoskeletal disorders worldwide. It is prevalent in Thailand, affecting up to 30% of the general population, with much higher rates among manual labourers. Pain self-management, including education, exercise, medication and other components, is an effective strategy for reducing pain intensity and disability rates for chronic low back pain sufferers.

Objective:
To investigate pain self-management strategies among chronic lower back pain sufferers in Thailand.

Methods:
The study design was a qualitative interview-based technique. The study setting was an orthopaedic outpatient department at a university hospital in Northern Thailand. Participants (n = 19) were selected based on recruitment criteria, and data was collected using demographic forms and in-depth interviews. Thematic analysis was used for qualitative analysis, with Wilcoxon signed-rank test used to assess changes in pain levels.

Results:
Participants used a combination of pain self-management modalities, including exercise, modified food consumption, increased rest, herbal treatments, hot and cold compression, Thai massage, and acupressure, along with psychological and spiritual coping tools like meditation and making merit. Ability to use these interventions was dependent on medical support from practitioners as well as social and other support. A small, but significant, mean difference in pain was also observed.

Conclusion:
Findings point to the possibility that there are significant cultural differences in pain self-management modalities and their effectiveness.
Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records
Authors: Alhassan Zakhriya , Watson Matthew , Budgen David , Alshammari Riyad , Alessa Ali , Al Moubayed Noura 
Published: April 2021

Background
Predicting the risk of glycated hemoglobin (HbA1c) elevation can help identify patients with the potential for developing serious chronic health problems, such as diabetes. Early preventive interventions based upon advanced predictive models using electronic health records data for identifying such patients can ultimately help provide better health outcomes.

Objective
Our study investigated the performance of predictive models to forecast HbA1c elevation levels by employing several machine learning models. We also examined the use of patient electronic health record longitudinal data in the performance of the predictive models. Explainable methods were employed to interpret the decisions made by the black box models.

Methods
This study employed multiple logistic regression, random forest, support vector machine, and logistic regression models, as well as a deep learning model (multilayer perceptron) to classify patients with normal (<5.7%) and elevated (≥5.7%) levels of HbA1c. We also integrated current visit data with historical (longitudinal) data from previous visits. Explainable machine learning methods were used to interrogate the models and provide an understanding of the reasons behind the decisions made by the models. All models were trained and tested using a large data set from Saudi Arabia with 18,844 unique patient records.

Results
The machine learning models achieved promising results for predicting current HbA1c elevation risk. When coupled with longitudinal data, the machine learning models outperformed the multiple logistic regression model used in the comparative study. The multilayer perceptron model achieved an accuracy of 83.22% for the area under receiver operating characteristic curve when used with historical data. All models showed a close level of agreement on the contribution of random blood sugar and age variables with and without longitudinal data.

Conclusions
This study shows that machine learning models can provide promising results for the task of predicting current HbA1c levels (≥5.7% or less). Using patients’ longitudinal data improved the performance and affected the relative importance for the predictors used. The models showed results that are consistent with comparable studies.
Feasibility of a Web-Based Psychoeducation Course and Experiences of Caregivers Living With a Person With Schizophrenia Spectrum Disorder: Mixed Methods Study
Authors: Laine Anna , Anttila Minna , Hirvonen Heli , Välimäki Maritta 
Published: April 2021

Background
Schizophrenia is a severe mental illness that burdens both patients and caregivers.

Objective
The aim of this study is to examine the feasibility of a web-based psychoeducation course targeted at caregivers of persons with schizophrenia spectrum disorders (SSDs) and to describe their experiences of living with a person with SSD based on the material caregivers produced during the web-based course.

Methods
A convergent, parallel, mixed methods study design was used. First, caregivers’ engagement in the course was evaluated quantitatively. Second, the overview of the course feedback was evaluated using quantitative and qualitative methods. Third, the experiences of being a caregiver to a person with SSD were analyzed qualitatively with the thematic analysis of the writings caregivers produced during the web-based course.

Results
A total of 30 caregivers participated in the study and a web-based psychoeducation course. Less than two-thirds (18/30, 60%) completed the course. Content was most often logged for the first module, Orientation (3465 log-ins), and the lowest number of log-ins was recorded for the Daily life module (1061 log-ins). Feedback on the course varied; over half (10/17, 59%) of the caregivers considered the content to be very good or good, about half (9/17, 53%) considered the website layout to be good, only 6% (1/17) felt that the usability of the website was poor, and no one felt that it was very poor. From the reported experiences of being a caregiver to a person with SSD, 3 themes were formed: the caregiver’s own well-being, relationship with the person with SSD, and experience of health care services.

Conclusions
The web-based psychoeducation course for caregivers living with a person with SSD seems to be especially suitable for those who have little experience as a caregiver. In the future, more planning and the consideration of aspects related to the needs of specific target groups, course content, practical arrangements, and scheduling should be taken into account. In addition, although caregivers can improve their own well-being in different ways, they need regular support and cooperation from health care professionals.
YouTube Videos and Informed Decision-Making About COVID-19 Vaccination: Successive Sampling Study
Authors: Basch Charles E , Basch Corey H , Hillyer Grace C , Meleo-Erwin Zoe C , Zagnit Emily A 
Published: April 2021

Background
Social media platforms such as YouTube are used by many people to seek and share health-related information that may influence their decision-making about COVID-19 vaccination.

Objective
The purpose of this study was to improve the understanding about the sources and content of widely viewed YouTube videos on COVID-19 vaccination.

Methods
Using the keywords “coronavirus vaccination,” we searched for relevant YouTube videos, sorted them by view count, and selected two successive samples (with replacement) of the 100 most widely viewed videos in July and December 2020, respectively. Content related to COVID-19 vaccines were coded by two observers, and inter-rater reliability was demonstrated.

Results
The videos observed in this study were viewed over 55 million times cumulatively. The number of videos that addressed fear increased from 6 in July to 20 in December 2020, and the cumulative views correspondingly increased from 2.6% (1,449,915 views) to 16.6% (9,553,368 views). There was also a large increase in the number of videos and cumulative views with respect to concerns about vaccine effectiveness, from 6 videos with approximately 6 million views in July to 25 videos with over 12 million views in December 2020. The number of videos and total cumulative views covering adverse reactions almost tripled, from 11 videos with approximately 6.5 million (11.7% of cumulative views) in July to 31 videos with almost 15.7 million views (27.2% of cumulative views) in December 2020.

Conclusions
Our data show the potentially inaccurate and negative influence social media can have on population-wide vaccine uptake, which should be urgently addressed by agencies of the United States Public Health Service as well as its global counterparts.
Targeting Sedentary Behavior in CKD
Authors: Lyden Kate , Boucher Robert , Wei Guo , Zhou Na , Christensen Jesse , Chertow Glenn M. , Greene Tom , Beddhu Srinivasan 
Published: April 2021

Background and objectives
We tested the feasibility of reducing sedentary behavior common in CKD.

Design, setting, participants, & measurements
We carried out a Sit Less, Interact, Move More intervention in a 24-week parallel-group, randomized controlled trial in patients with stages 2–5 CKD. In the intervention group (n=54), accelerometry performed at baseline and repeated every 4 weeks was used to develop and monitor adherence to individualized plans targeting sedentary and stepping durations. The control group (n=52) was provided national physical activity recommendations; accelerometry was performed at baseline and every 8 weeks. Between-groups changes from baseline to the average follow-up values at weeks 8, 16, and 24 of the sedentary and stepping durations were the coprimary end points.

Results
The mean age was 69±13 years. Fourteen percent were on dialysis or received a kidney transplant. Eight percent of the control group and 17% of the intervention group were lost to follow-up. Sedentary and stepping durations did not change in the control group. Within the intervention group, the maximum decrease in sedentary duration (−43; 95% confidence interval, −69 to −17 min/d) and increase in stepping duration (16; 95% confidence interval, 7 to 24 min/d) and the number of steps per day (1265; 95% confidence interval, 518 to 2012) were seen at week 20. These attenuated at week 24. In mixed effects models, overall treatment effects between groups on sedentary (−17; 95% confidence interval, −43 to 8 min/d) and stepping (6; 95% confidence interval, −3 to 15 min/d) durations and the number of steps per day, a secondary end point (652; 95% confidence interval, −146 to 1449), were not significantly different. The intervention significantly reduced secondary end points of body mass index (−1.1; 95% confidence interval, −1.9 to −0.3 kg/m2) and body fat percentage (−2.1%; 95% confidence interval, −4.4% to −0.2%).

Conclusions
It is feasible to reduce sedentary duration and increase stepping duration in patients with CKD, but these were not sustained.

Clinical Trial registry name and registration number:
National Health and Nutrition Examination Survey (NHANES), NCT02970123
Баллада в калмыцкой поэзии ХХ в. в аспекте синтеза жанров
Authors:   Kalmyk Scientific Center of the RAS (8, Ilishkin St., Elista 358000, Russian Federation), Khaninova Rimma M. 
Published: April 2021

Introduction. The ballad genre in Kalmyk poetry, having no national folklore analogues, is based on the Russian literary ballad of the Soviet period. The article examines ballads in 20th-century Kalmyk poetry in the aspect of genre synthesis — the ballad and the poem proper. The relevance of the work is determined by that the Kalmyk literary ballad remains understudied both in the genre paradigm and in the dialogue of cultures. Goals. The article aims to examine the Kalmyk literary ballad in its synthesis with the genre of the poem. Materials and Methods. The investigated materials are works by N. Tamarchenko, D. Magomedova and others. Works by Mikhail Khoninov, Aksen Suseev and Erdni Eldyshev in the original and literary translations serve as sources for the study. The main research methods comprise the historical-literary, comparative methods, and that of descriptive poetics. Chronologically, the study covers the mid-to-late 20th century. Results. The study reveals, firstly, a synthesis of ballad and poem traced through the example of Mikhail Khoninov’s ‘Салькнла бǝǝр бǝрлдснǝ туск баллад’ (‘The Ballad of the Battle against the Wind’) and its poem-type transformation in Russian translation, the latter being also evident in the second edition of the original text; secondly, the genre of the poem in Aksen Suseev’s ‘Semen Nimgirov’ (Russ. ‘The Ballad of Civic Duty’) and Erdni Eldyshev’s ‘Marinesko’ gets transformed into that of the ballad when in their Russian translations; thirdly, the work identifies the prototype of Suseev’s main character. Conclusions. The ballad proves a most constant genre in M. Khoninov’s poetry, and the innovative synthesis of ballad and poem in the original text can also be found in his other work — ‘Хальмг күүкнǝ туск баллад’ (‘The Ballad of the Kalmyk Woman’). The authors A. Suseev and E. Eldyshev wrote no ballads, and their intentions had been initially aimed at the genre of the poem. This reveals certain differing strategies of the author and the translator resulting in the genre differentiation of a selected work on the latter’s way to the reader.
La imposición del espacio digital: arquitectura y espacialidad
Authors: Lozano de Poo Juan Manuel 
Published: April 2021

<p>La espacialidad, piedra angular para el estudio de la arquitectura, se encuentra en un proceso de reconfiguración originado por la domesticación del espacio digital como nueva capa del espacio social. Este fenómeno ha tenido impactos profundos sobre los hábitos, la presencia y la interacción de las personas debido a la condición de simultaneidad impuesta por el internet. Como consecuencia, hoy se habita entre fragmentos de tres espacios superpuestos: el arquitectónico, el vivido y el digital.<span class="Apple-converted-space"> </span></p>