bluuebunny/crossref_metadata_2025_split huggingface dataset:
Confirmation of Factors Affecting Self-Care Activities of Patients with Hypertension
Authors: Istiani Hari Ghanesia , Rokhmiati Eka 
Published: April 2021

Introduction: Hypertension is one of the non- communicable diseases that causes the highest mortality. Self-care activities are factors that determine the health status and quality of life of people with hypertension.
Objectives: The aim of the study was to determine the direct and indirect effects and the magnitude of the variables of the role of health workers, family functions, health literacy, and self-efficacy on self-care activities for hypertension sufferers at the Tanah Sareal Health Center, Bogor City in 2018.
Methods: The method used in the study this is a quantitative approach that uses adesign cross-setional. The sample used was 80 hypertension patients. The analysis used is the Structural Equation Model (SEM) using SmartPLS 2.0.
Results: The results of hypothesis testing with smartPLS resulted in research findings, namely that the self-care activities of hypertension sufferers were influenced by the role of health workers (16.98%), family function factors (12.32%),factors health literacy (26.66%), and self-efficacy factor (25.27%). The total amount of direct influence on self-care activities of hypertension sufferers is 81.23% and the indirect effect is 1.53%. The analysis result model can explain 99.1% of the diversity of data and is able to study the phenomena used in the study, while 0.9% is explained by other components that are not present in this study.
Conclusion: There is a direct influence between the role of health workers, family function, health literacy and self-efficacy on the self-care activities of hypertension sufferers at Tanah Sareal Health Center.
Working alliance among mental health nurses in Indonesia: A comparative analysis of socio-demographic characteristics
Authors: Yosep Iyus , Mediani Henny Suzana , Lindayani Linlin 
Published: April 2021

Background: Working alliance between therapist and client in psychotherapy practice has become proven to compensate for a significant difference in various psychotherapy modalities. However, few studies have investigated the structure of alliance in the context of nurses working at mental health hospitals in Indonesia.
Objective: This study aimed to compare the working alliance of mental health nurses according to socio-demographic characteristics.
Methods: A cross-sectional research was performed at the Mental Health Hospital in West Java, Indonesia, as a referral hospital in Indonesia from May to December 2019. The inclusion criteria were nurses with a minimum of one year of working experience and a Diploma III certificate in nursing. Convenience sampling was used to recruit 120 nurses who agreed to join in this study. The working alliance was measured using Working Alliance Inventory-Short Revised-Therapist (WAI-SRT).
Results: The majority of the respondents were female (77.5%), holding a Diploma III degree in nursing (49.17%), having working experience ranged from 11 to 15 years (34.17%), and working at the chronic unit (32.5%). The mean score of the working alliance was 44.46 (SD = 11.32). The domain of agreement on goals had a higher mean score (17.65 ± 3.45), followed by the task domain (16.56 ± 5.81) and bond domain (22.10 ± 7.23). There was a significant difference in working alliance according to education level and working experience (p < 0.05), while no significant differences in terms of gender and working unit.
Conclusion: Mental health nurses with higher education levels and more vast working experience had higher working alliances. Thus, nurse managers and hospital policymakers should provide Continues Nursing Education (CNE), working alliance training, and therapeutic strategies for nurses to improve their working alliances. It is also essential to cooperate with nursing schools to include working alliances as learning objectives.
Funding: This study was fully funded by Padjadjaran University, Indonesia.
SUMOylation Regulator-Related Molecules Can Be Used as Prognostic Biomarkers for Glioblastoma
Authors: Li Xiaozhi , Meng Yutong 
Published: April 2021

IntroductionSUMOylation is one of the post-translational modifications. The relationship between the expression of SUMOylation regulators and the prognosis of glioblastoma is not quite clear.Materials and MethodsThe single nucleotide variant data, the transcriptome data, and survival information were acquired from The Cancer Genome Atlas, Gene Expression Omnibus, and cBioportal database. Wilcoxon test was used to analyze differentially expressed genes between glioblastoma and normal brain tissues. Gene set enrichment analysis was conducted to find the possible functions. One risk scoring model was built by the least absolute shrinkage and selection operator Cox regression. Kaplain–Meier survival curves and receiver operating characteristic curves were applied to evaluate the effectiveness of the model in predicting the prognosis of glioblastoma.ResultsSingle-nucleotide variant mutations were found in SENP7, SENP3, SENP5, PIAS3, RANBP2, USPL1, SENP1, PIAS2, SENP2, and PIAS1. Moreover, UBE2I, UBA2, PIAS3, and SENP1 were highly expressed in glioblastoma, whereas PIAS1, RANBP2, SENP5, and SENP2 were downregulated in glioblastoma. Functional enrichment analysis showed that the SUMOylation regulators of glioblastoma might involve cell cycle, DNA replication, and other functions. A prognostic model of glioblastoma was constructed based on SUMOylation regulator-related molecules (ATF7IP, CCNB1IP1, and LBH). Kaplain–Meier survival curves and receiver operating characteristic curves showed that the model had a strong ability to predict the overall survival of glioblastoma.ConclusionThis study analyzed the expression of 15 SUMOylation regulators in glioblastoma. The risk assessment model was constructed based on the SUMOylation regulator-related genes, which had a strong predictive ability for the overall survival of patients with glioblastoma. It might provide targets for the study of the relationship between SUMOylation and glioblastoma.
Prenatal Genetic Diagnosis in Three Fetuses With Left Heart Hypoplasia (LHH) From Three Unrelated Families
Authors: Luo Sukun , Chen Luyi , Wei Weizhong , Tan Li , Zhang Meng , Duan Zhengrong , Cao Jiangxia , Zhou Yan , Zhou Aifen , He Xuelian 
Published: April 2021

Background: Congenital heart defects (CHDs) are the most common birth defects, and left heart hypoplasia (LHH) is a severe form of CHD and responsible for more than 20% cardiac deaths during the first week of life, however, its genetic causes remain largely elusive.Methods: Three families with fetal LHH were recruited. Genomic DNA from amniotic fluid or peripheral blood, and trio whole exome sequencing (trio-WES) and copy number variation sequencing (CNV-seq) were performed.Results: All the three couples had no family history, and mid-gestation ultrasound revealed LHH and other variable cardiovascular defects in the fetuses. Trio-WES revealed de novo pathogenic variations in KMT2D (p.Gly3465Aspfs*37) (NM_003482) and WDFY3 (p.Ser117Xfs*) (NM_014991), and CNV-seq identified a deletion of 150 kb encompassing NOTCH1. KMT2D and NOTCH1 previously have been reported to be associated with CHDs, however, WDFY3 is reported for the first time to be possibly related to CHD in human.Conclusion: Our study suggested that genetic component is an important risk factor for the development of LHH, and next generation sequencing is a powerful tool for genetic diagnosis in fetuses with CHDs and genetic counseling, however, more studies and data are need to establish the correlation of fetal phenotypes and genotypes.
How Personality Traits Are Related to the Attitudes Toward Forced Remote Learning During COVID-19: Predictive Analysis Using Generalized Additive Modeling
Authors: Dikaya Liudmila A. , Avanesian Garen , Dikiy Igor S. , Kirik Vladimir A. , Egorova Valeria A. 
Published: April 2021

BackgroundDuring the COVID-19 pandemic, universities all over the world have had to reorganize their work for remote education to ensure continuity of learning. This situation has forced both teachers and students into an atypical, very specific situation, in which they need to cope with a number of psychological factors. Meanwhile, there is a research gap in academic knowledge of the social and psychological factors that determine attitudes toward forced remote learning.ObjectiveTo analyze the psychological traits of students in relation to their attitudes toward forced remote learning.MethodsThe study assessed self-regulation and communication skills, as well thinking and learning styles of 280 students in the situation of forced remote learning. We used the methods of surveying and psychological testing for data collection. The data were analyzed in R statistical software using the regression modeling methods.ResultsWe found that the number of students with positive (46%) and negative (54%) attitudes toward forced remote learning during the COVID-19 pandemic was approximately equal. Using regression analysis, we identified several statistically significant associations between the interpersonal communicative skills of students (self-regulation, shyness, alienation, manipulative and cooperative communication styles) and their thinking styles (right-hemispheric and integrated), on the one hand, and their attitude to remote learning, on the other. It was also illustrated that depending on the attitude to the forced remote learning, students differ by the percentage of assimilated learning materials while studying under the lockdown.ConclusionThe results identify that success of remote learning in many ways depends on the extent to which it accommodates psychological traits of students who are forced to acquire new knowledge without traditional classroom instruction.
Natural History of Clinical, Laboratory, and Echocardiographic Parameters of a Primary Hyperoxaluria Cohort on Long Term Hemodialysis
Authors: Sas David J. , Enders Felicity T. , Gunderson Tina M. , Mehta Ramila A. , Olson Julie B. , Seide Barbara M. , Banks Carly J. , Dehmel Bastian , Pellikka Patricia A. , Lieske John C. , Milliner Dawn S. 
Published: April 2021

Background: Primary hyperoxaluria type 1 (PH1) is a rare monogenic disorder characterized by excessive hepatic production of oxalate leading to recurrent nephrolithiasis, nephrocalcinosis, and progressive kidney damage, often requiring renal replacement therapy (RRT). Though systemic oxalate deposition is well-known, the natural history of PH1 during RRT has not been systematically described. In this study, we describe the clinical, laboratory, and echocardiographic features of a cohort of PH1 patients on RRT.Methods: Patients with PH1 enrolled in the Rare Kidney Stone Consortium PH Registry who progressed to require RRT, had ≥2 plasma oxalate (pOx) measurements 3–36 months after start of RRT, and at least one pair of pOx measurements between 6 and 18 months apart were retrospectively analyzed. Clinical, echocardiographic, and laboratory results were obtained from the Registry.Results: The 17 PH1 patients in our cohort had a mean total HD hours/week of 17.4 (SD 7.9; range 7.5–36) and a range of age of RRT start of 0.2–75.9 years. The average change in plasma oxalate (pOx) over time on RRT was −0.74 [−2.9, 1.4] μmol/L/month with the mean pOx never declining below 50 μmol/L. Over time on RRT, oxalosis progressively developed in multiple organ systems. Echocardiography performed on 13 subjects showed worsening of left ventricular global longitudinal strain correlated with pOx (p &lt; 0.05).Conclusions: Even when a cohort of PH1 patients were treated with intensified RRT, their predialysis pOx remained above target and they developed increasing evidence of oxalosis. Echocardiographic data suggest that cardiac dysfunction could be related to elevated pOx and may worsen over time.
Prolonged Intubation in Patients With Prior Cerebrovascular Disease and COVID-19
Authors: Mukerji Shibani S. , Das Sudeshna , Alabsi Haitham , Brenner Laura N. , Jain Aayushee , Magdamo Colin , Collens Sarah I. , Ye Elissa , Keller Kiana , Boutros Christine L. , Leone Michael J. , Newhouse Amy , Foy Brody , Li Matthew D. , Lang Min , Anahtar Melis N. , Shao Yu-Ping , Ge Wendong , Sun Haoqi , Triant Virginia A. , Kalpathy-Cramer Jayashree , Higgins John , Rosand Jonathan , Robbins Gregory K. , Westover M. Brandon 
Published: April 2021

Objectives: Patients with comorbidities are at increased risk for poor outcomes in COVID-19, yet data on patients with prior neurological disease remains limited. Our objective was to determine the odds of critical illness and duration of mechanical ventilation in patients with prior cerebrovascular disease and COVID-19.Methods: A observational study of 1,128 consecutive adult patients admitted to an academic center in Boston, Massachusetts, and diagnosed with laboratory-confirmed COVID-19. We tested the association between prior cerebrovascular disease and critical illness, defined as mechanical ventilation (MV) or death by day 28, using logistic regression with inverse probability weighting of the propensity score. Among intubated patients, we estimated the cumulative incidence of successful extubation without death over 45 days using competing risk analysis.Results: Of the 1,128 adults with COVID-19, 350 (36%) were critically ill by day 28. The median age of patients was 59 years (SD: 18 years) and 640 (57%) were men. As of June 2nd, 2020, 127 (11%) patients had died. A total of 177 patients (16%) had a prior cerebrovascular disease. Prior cerebrovascular disease was significantly associated with critical illness (OR = 1.54, 95% CI = 1.14–2.07), lower rate of successful extubation (cause-specific HR = 0.57, 95% CI = 0.33–0.98), and increased duration of intubation (restricted mean time difference = 4.02 days, 95% CI = 0.34–10.92) compared to patients without cerebrovascular disease.Interpretation: Prior cerebrovascular disease adversely affects COVID-19 outcomes in hospitalized patients. Further study is required to determine if this subpopulation requires closer monitoring for disease progression during COVID-19.
Vulnerable Plaque Is More Prevalent in Male Individuals at High Risk of Stroke: A Propensity Score-Matched Study
Authors: Li Jie , Gao Lijie , Zhang Ping , Liu Yingying , Zhou Ju , Yi Xingyang , Wang Chun 
Published: April 2021

ObjectivesTo assess the gender differences in the prevalence of carotid vulnerable plaques in high-risk individuals for stroke in a multicenter, cross-sectional study.MethodsIn the year 2015, 18595 residents who were at the age of 40 or older participated in a face-to-face study in eight communities in southwestern China. Totally 2,644 participants at high risk of stroke were enrolled. Before and after propensity score matching (PSM), the prevalence of carotid plaques and vulnerable plaques were compared between men and women. Multivariate analyses were applied to explore the association between the gender and carotid plaques. Stratified analyses and interaction tests were performed to identify factors that might modify the association between the gender and carotid plaques.ResultsAmong 2644 high-risk individuals enrolled, there were 1,202 (45.5%) men and 1442 (54.5%) women. Carotid plaques were detected in 904 (34.2%) participants, while vulnerable plaques were found in 425 (16.1%) participants. Before PSM, carotid plaques were more prevalent in male individuals than the female (36.7% vs. 32.1%, p = 0.01), as well as vulnerable plaque (20.0% vs. 12.8%, p &lt; 0.01). Men tend to have a higher prevalence of vulnerable plaques in multivariate analyses (adjusted OR 1.70, 95% CI 1.10–2.62, p = 0.02). Stratified analyses and interaction tests demonstrated that the association between male sex and vulnerable carotid plaque did not change by age, family history of stroke, histories of chronic disease, smoking status, drinking status, physical activity, and BMI (all p for interaction &gt; 0.05). After PSM, vulnerable plaques were still more prevalent in male individuals than the female (17.03% vs. 12.07%, p = 0.032).ConclusionMale individuals had a higher risk of vulnerable carotid plaque independent of classical vascular risk factors. Whether there is a gender-specific association between variations in genes related to inflammation, lipid metabolis, and endothelial function and plaque vulnerability needs to be further studied.
Toddlers’ Ability to Leverage Statistical Information to Support Word Learning
Authors: Ellis Erica M. , Borovsky Arielle , Elman Jeffrey L. , Evans Julia L. 
Published: April 2021

PurposeThis study investigated whether the ability to utilize statistical regularities from fluent speech and map potential words to meaning at 18-months predicts vocabulary at 18- and again at 24-months.MethodEighteen-month-olds (N = 47) were exposed to an artificial language with statistical regularities within the speech stream, then participated in an object-label learning task. Learning was measured using a modified looking-while-listening eye-tracking design. Parents completed vocabulary questionnaires when their child was 18-and 24-months old.ResultsAbility to learn the object-label pairing for words after exposure to the artificial language predicted productive vocabulary at 24-months and amount of vocabulary change from 18- to 24 months, independent of non-verbal cognitive ability, socio-economic status (SES) and/or object-label association performance.ConclusionEighteen-month-olds’ ability to use statistical information derived from fluent speech to identify words within the stream of speech and then to map the “words” to meaning directly predicts vocabulary size at 24-months and vocabulary change from 18 to 24 months. The findings support the hypothesis that statistical word segmentation is one of the important aspects of word learning and vocabulary acquisition in toddlers.
A Numerical Model for the Analysis of the Bearings of a Diesel Engine Subjected to Conditions of Wear and Misalignment
Authors: Pardo García Carlos , Rojas Jhan Piero , Orjuela Abril Sofia 
Published: April 2021

In the present work, a numerical model is developed to investigate the influence of wear and misalignment on the bearings of a stationary diesel engine. The model implemented considers the effects of surface wear on the bearing, cavitation effects, and surface roughness. For the numerical analysis, changes in the surface roughness of σμσ=0.75 μm, σμσ=1 μm, and σμσ=1.25 μm are defined, and changes in the bearing load of 50%, 75%, and 100%. The results demonstrated that increasing the surface roughness intensifies the bearing wear, which represents 18% and 140% of the bearing clearance for the roughness of σμσ=1 μm and σμσ=1.25 μm, respectively. Additionally, the surface roughness causes a considerable increase in the bearing wear rate. The results described a maximum wear rate of μ20 μm/s. In general, increasing the bearing load by 25% doubles the hydrodynamic pressure conditions increases friction force by 33%, and reduces lubrication film thickness by 12%. The analysis of the angle of deflection, ϕx and ϕy, shows that the moment and the degree of misalignment tend to increase significantly with the increase in the magnitude of the angle ϕy. Negative angles of deflection, ϕx, produce a greater increase in the degree of misalignment and the moment. This implies a greater chance of contact with the bearing surface. In conclusion, the proposed methodology serves as a reliable tool to simultaneously evaluate key parameters on the tribological behavior of bearings that further extend their endurance and minimize wear damage.
Association of Blood Pressure Genetic Risk Score with Cardiovascular Disease and CKD Progression: Findings from the CRIC Study
Authors: Nierenberg Jovia L. , Anderson Amanda H. , He Jiang , Parsa Afshin , Srivastava Anand , Cohen Jordana B. , Saraf Santosh L. , Rahman Mahboob , Rosas Sylvia E. , Kelly Tanika N. ,   CRIC Study Investigators
Published: April 2021

Abstract

Background
In the general population, genetic risk for high BP has been associated with cardiovascular disease, but not kidney function or incident CKD. These relationships have not been studied longitudinally in participants with CKD. We examined whether BP genetic risk predicts cardiovascular disease and kidney disease progression in patients with CKD.

Methods
We included 1493 African- and 1581 European-ancestry participants from the Chronic Renal Insufficiency Cohort who were followed for 12 years. We examined associations of BP genetic risk scores with development of cardiovascular disease (myocardial infarction, congestive heart failure, or stroke) and CKD progression (incident ESKD or halving of eGFR) using Cox proportional hazards models. Analyses were stratified by race and included adjustment for age, sex, study site, and ancestry principal components.

Results
Among European-ancestry participants, each SD increase in systolic BP and pulse pressure genetic risk score conferred a 15% (95% CI, 4% to 27%) and 11% (95% CI, 1% to 23%), respectively, higher risk of cardiovascular disease, with a similar, marginally significant trend for diastolic BP. Among African-ancestry participants, each SD increase in systolic and diastolic BP genetic risk score conferred a 10% (95% CI, 1% to 20%) and 9% (95% CI, 0% to 18%), respectively, higher risk of cardiovascular disease. Higher genetic risk was not associated with CKD progression.

Conclusions
Genetic risk for elevation in BP was associated with increased risk of cardiovascular disease, but not CKD progression.
SIMULATION OF IMPACT BEHAVIOR OF A GLASS YARN
Authors: CHIPER Larisa , OJOC George Ghiocel , DELEANU Lorena , PIRVU Catalin 
Published: April 2021

The issue of impact simulation results from the fact that the impact load is unique and the designed system or element is requested not to fail only once or a small number of loadings. Tests for assessments of the degree of impact protection are expensive and numerous because they require a high probability of impact resistence. In the literature, there are models at the micro level (at fiber level), at the meso level (multi-fiber yarns, several fibers or by evaluating the behavior of the fibers to a monobloc yarn, as is the case with this simulation) and at the macro level (the behavior of element or system is done with some equivalences concerning the material model). This paper presents comparative results of the axis and on the edge of a yarn considered monoblock and isotropic to highlight the differences in the mechanisms of destruction of the yarn and in the evolution of the distribution of equivalent stress, highlighting the differences in the simulation of these two cases explains, at least qualitatively, the differences in the behavior of the panels considered identical.
INFLUENCE OF ELEMENT SIZE IN A CASE OF IMPACT SIMULATION
Authors: TOTOLICI RUSU Viorel , OJOC George Ghiocel , PIRVU Catalin , DELEANU Lorena 
Published: April 2021

This paper presents an analysis of data resulting from the same material constitutive model, based on experimental data and model developed by Johnson and Cook. The same case of impacting a cylindrical body on a perfectly rigid target was run with four different mesh size (2 mm, 1 mm, 0.5 mm and 0.25 mm). Here, the comparing criterion was the maximum value of von Mises stress and the authors pointed out that the finest mesh here presented is closer to reality. Depending on the case application the engineers could adopt a finer or coarse mesh, but not so coarse to denaturate the reality of body deformation and failure. How to decide? Having performant computer resources (hardware and software) and running several mesh in order to notice the convergence of one parameter or, more reliable, a set of criteria that could include qualitative resemblance with actual bodies as concerning failure and deformation, experimental dat on strain, yield and failure of the involved materials, values of stress and strain, at the same time moments. From this study the following conclusions were formulated: finer mesh presents a earlier failure in time and calculated a higher stress for these moment.