Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissertation Topics in Nursing

Background Few quantitative studies have documented the types of research topics most commonly employed by nursing PhD students and whether they differ by program delivery (in-person vs. online/hybrid programs). Objectives We examined a large set of publicly available PhD dissertation abstracts to (a) describe the relative prevalence of different research topics and methods and (b) test whether the primary topics and methods used differed between online or hybrid and in-person PhD programs. A secondary goal was to introduce the reader to modern text-mining approaches to generate insights from a document corpus. Methods Our database consisted of 2,027 dissertation abstracts published between 2015 and 2019. We used a structural topic modeling text-mining approach to explore PhD students’ research topics and methods in United States-based doctoral nursing programs. Results We identified 24 different research topics representing a wide range of research activities. Most of the research topics identified did not differ in prevalence between online/hybrid and in-person programs. However, online/hybrid programs were more likely to engage students in research focused on nursing education, professional development, work environment, simulation, and qualitative analysis. Pediatrics, sleep science, older adults and aging, and chronic disease management were more prevalent topics in in-person-only programs. Discussion The range of topics identified highlights the breadth of research nursing PhD students’ conduct. Both in-person and online/hybrid programs offer a range of research opportunities, although we did observe some differences in topic prevalence. These differences could be due to the nature of some types of research (e.g., research that requires an in-person presence) or differences in research intensity between programs (e.g., amount of grant funding or proximity to a medical center). Future research should explore why research topic prevalence may vary by program delivery. We hope that this text-mining application serves as an illustrative example for researchers considering how to draw inferences from large sets of text documents. We are particularly interested in seeing future work that might combine traditional qualitative approaches and large-scale text mining to leverage the advantages of each.
Measuring Basic Reproduction Number to Assess Effects of Nonpharmaceutical Interventions on Nosocomial SARS-CoV-2 Transmission

Outbreaks of SARS-CoV-2 infection frequently occur in hospitals. Preventing nosocomial infection requires insight into hospital transmission. However, estimates of the basic reproduction number (R0) in care facilities are lacking. Analyzing a closely monitored SARS-CoV-2 outbreak in a hospital in early 2020, we estimated the patient-to-patient transmission rate and R0. We developed a model for SARS-CoV-2 nosocomial transmission that accounts for stochastic effects and undetected infections and fit it to patient test results. The model formalizes changes in testing capacity over time, and accounts for evolving PCR sensitivity at different stages of infection. R0 estimates varied considerably across wards, ranging from 3 to 15 in different wards. During the outbreak, the hospital introduced a contact precautions policy. Our results strongly support a reduction in the hospital-level R0 after this policy was implemented, from 8.7 to 1.3, corresponding to a policy efficacy of 85% and demonstrating the effectiveness of nonpharmaceutical interventions.
Selecting and Scaling Earthquake Ground Motions for Performing Response-History Analyses | NIST

The National Institute of Standards and Technology (NIST) funded a project to improve guidance to the earthquake engineering profession for selecting and scaling earthquake ground motions for the purpose of performing nonlinear response-history analysis. The project supported problem-focused studies related to defining target spectra for seismic design and performance assessment, response-spectrum matching, and near-fault ground motions. Recommendations are presented for target spectra, selection of seed ground motions, and scaling of motions to be consistent with different target spectra. Minimum numbers of sets of motions are recommended for computing mean component and systems responses, and distributions of responses. Guidance is provided on selection and scaling of ground motions per ASCE/SEI 7-10.
The effects of noninvasive brain stimulation on heart rate and heart rate variability: A systematic review and meta‐analysis

Noninvasive brain stimulation (NIBS) techniques such as transcranial magnetic stimulation and transcranial direct current stimulation are widely used to test the involvement of specific cortical regions in various domains such as cognition and emotion. Despite the capability of stimulation techniques to test causal directions, this approach has been only sparsely used to examine the cortical regulation of autonomic nervous system (ANS) functions such as heart rate (HR) and heart rate variability (HRV) and to test current models in this regard. In this preregistered (PROSPERO) systematic review and meta‐analysis, we aimed to investigate, based on meta‐regression, whether NIBS represents an effective method for modulating HR and HRV measures, and to evaluate whether the ANS is modulated by cortical mechanisms affected by NIBS. Here we have adhered to the PRISMA guidelines. In a series of four meta‐analyses, a total of 131 effect sizes from 35 sham‐controlled trials were analyzed using robust variance estimation random‐effects meta‐regression technique. NIBS was found to effectively modulate HR and HRV with small to medium effect sizes. Moderator analyses yielded significant differences in effects between stimulation of distinct cortical areas. Our results show that NIBS is a promising tool to investigate the cortical regulation of ANS, which may add to the existing brain imaging and animal study literature. Future research is needed to identify further factors modulating the size of effects. As many of the studies reviewed were found to be at high risk of bias, we recommend that methods to reduce potential risk of bias be used in the design and conduct of future studies.
Impact of Fear of COVID-19 Pandemic on Job Insecurity and Subjective Well-Being

Earlier research on the novel coronavirus (COVID-19) mainly focused on fear and its psychological impact on frontline health workers. However, the uncertainty of COVID-19, job insecurity and its effects on non-frontline employees’ perception of their well-being is rarely explored. This study aims to assess the relationship between subjective well-being and the fear of the COVID-19 outbreak. Furthermore, this study explores how employees’ awareness of their job insecurity influences this relationship. Structural Equation Modelling (SEM) and Confirmatory Factor Analysis (CFA), and Spearman’s correlation analyses were used to examine the significance of the relationships between fear of COVID-19 and subjective well-being and the moderating role of job insecurity in this relationship. The findings indicate that greater fear of COVID-19 is associated with a lower level of perceived subjective well-being. However, a higher perception of fear of COVID-19 and its interaction with job insecurity are associated with a higher risk of employees’ well-being. Our study highlights the factors such as fear of COVID-19 and job insecurities that undermine their well-being. Our study provdies practical implications for employees’, managers, and healthcare policymakers to adopt effective strategies to reduce stress among employees. These recommendations include using practical tactics to safeguard the employees health and jobs while effectively coping with the pandemic.
Improvement global solar radiation estimation

Energy yields of photovoltaic power plants are directly related to the availability of the global solar radiation (GHI). An accurate performance analysis of these power plants depends strongly on the quality and the reliability of the solar resource assessment. This study proposed to improve the accuracy of the GHI database provided by satellites. Two quality improvement methods have been proposed and evaluated in this study. The first developed method consists in combining a GHI satellite-derived database with the best ground station models, while the second one consists in performing a linear correction of a satellite database. The purpose of this study is to investigate the quality improvement method that gives more accurate GHI prediction. The comparison between the two developed methods shows that the resulting combination method database achieves higher GHI prediction accuracy than the linearly corrected satellite database. This combination reduces the uncertainty of the original satellite database by 1.95%, with a resulting relative root-mean-square error (rmse%) reaching 4.74%.
High-Frequency Percussive Ventilation in Viral Bronchiolitis

BACKGROUND: High-frequency percussive ventilation (HFPV) is an alternative mode of mechanical ventilation that has been shown to improve gas exchange in subjects with severe respiratory failure. We hypothesized that HFPV use would improve ventilation and oxygenation in intubated children with acute bronchiolitis. METHODS: In this single-center prospective cohort study we included mechanically ventilated children in the pediatric ICU with bronchiolitis 1–24 months old who were transitioned to HFPV from conventional invasive mechanical ventilation from November 2018–April 2020. Patients with congenital heart disease, on extracorporeal membrane oxygenation (ECMO), and with HFPV duration < 12 h were excluded. Subject gas exchange metrics and ventilator parameters were compared before and after HFPV initiation. RESULTS: Forty-one of 192 (21%) patients intubated with bronchiolitis underwent HFPV, and 35 met inclusion criteria. Median age of cohort was 4 months, and 60% were previously healthy. All subjects with available oxygenation saturation index (OSI) measurements pre-HFPV met pediatric ARDS criteria (31/35, 89%). Mean CO2 decreased from 65.4 in the 24 h pre-HFPV to 51 (P < .001) in the 24 h post initiation. SpO2/FIO2 was significantly improved at 24 h post-HFPV (153.3 to 209.7, P = .001), whereas the decrease in mean OSI at 24 h did not meet statistical significance (11.9 to 10.2, P = .15). The mean peak inspiratory pressure (PIP) decreased post-HFPV from 29.7 to 25.0 at 24 h (P < .001). No subjects developed an air leak or hemodynamic instability secondary to HFPV. Two subjects required ECMO, and of these, one subject died. CONCLUSIONS: HFPV was associated with significant improvement in ventilation and decreased exposure to high PIPs for mechanically ventilated children with bronchiolitis in our cohort and had a potential association with improved oxygenation. Our study shows that HFPV may be an effective alternative mode of ventilation in patients with bronchiolitis who have poor gas exchange on conventional invasive mechanical ventilation.
Metabolism of the antipsychotic drug olanzapine by CYP3A43

Abstract 1. Olanzapine is an atypical antipsychotic primarily used to treat schizophrenia and bipolar disorder. An intronic single nucleotide polymorphism (SNP) that highly significantly predicts increased olanzapine clearance (rs472660) was previously identified in the CYP3A43 gene, which encodes a cytochrome P450 enzyme. But until now there was no experimental evidence for the metabolism of olanzapine by the CYP3A43 enzyme. 2. In the present study we provide this evidence, together with a thorough analysis of olanzapine metabolism by all human CYP3A enzymes. We also rationalise our findings by molecular docking experiments. Moreover, we describe the activities of several CYP3A43 mutants and present the first enzymatic activity data for the CYP3A43.3 variant; with respect to prostate cancer, this polymorphic variant is associated with both increased risk and increased mortality. The catalytic properties of the wild type enzyme and the tumour mutant were analysed by molecular dynamics simulations, which fit very well with the observed experimental results. 3. Our findings suggest that the SNP rs472660 likely causes an increased CYP3A43 expression level and demonstrate that, depending on the substrate under study, the tumour mutant CYP3A43.3 can have increased activity in comparison to the wild type enzyme CYP3A43.1.
Children’s perceptions of scientists and their work: The ‘Draw a Scientist’ Test in the United Arab Emirates

Sampling students in the UAE’s capital Abu Dhabi, we explored possible stereotypes of scientists and their work which may exist, and which may impact upon future career aspirations. Characteristics of scientists were identified and analysed from 234 drawings collected from upper primary aged students. Students tended to draw youthful scientists of their own gender, with stereotypical characteristics, such as wearing a lab coat, performing chemistry experiments and working alone in a lab. Unexpectedly, there were even fewer references to technology use in science than in similar studies carried out in the 1980s. We had anticipated that some elements of UAE national dress would be observed in drawings, since the majority of students were UAE Nationals, but no UAE cultural references were evident in the drawings at all. The findings suggest that work needs to be undertaken in UAE classrooms to increase perceptions of diversity of science work and scientists themselves.
Human health implications from consuming eggs produced near a derelict metalliferous mine: a case study

Abstract Lead pollution from metalliferous mines can have major environmental and health effects long after the mines have closed. Animals living near derelict mine sites can inadvertently ingest lead-contaminated soils, causing them to accumulate lead and potentially experience significant adverse health effects. Human food products, such as eggs, produced near metalliferous mines may also be contaminated with lead. The focus of this case study was to determine whether free-range chickens living near a derelict lead mine had high lead body burdens, whether they were producing eggs with elevated lead concentrations, and whether these eggs could be hazardous to human health. Soil samples and chicken egg, feather, blood, and bone samples were collected from a small farm near an abandoned metalliferous mine. The soil in and around the chicken pens contained lead concentrations that were elevated above established soil lead baseline concentrations. The lead concentrations in the chicken feather, blood, and bone samples were consistent with lead toxicity and indicated long-term, continuous exposure. Finally, the lead concentrations in the eggs were significantly greater than those found in commercial eggs. Based on previously established lead benchmark dose levels, humans, and in particular, children, could experience adverse health impacts if they routinely consumed these eggs. Environmental lead contamination continues to pose a major health risk for humans, and further research, understanding, and awareness are required to safeguard the public from the risks of consuming food produced near derelict mines.
Assessing COVID-19 Health Literacy (CoHL) and its relationships with sociodemographic features, locus of control and compliance with social distancing rules during the first lockdown in France

Abstract Health literacy (HL) is critical to find, understand and use health information for adopting appropriate health behavior, especially during a pandemic crisis in which people can be exposed to an overwhelming amount of information from different media. To this end, we conducted an online study to first validate the measure of COronaVIrus Disease appeared in 2019 (COVID-19) health literacy (CoHL) and then investigated its relationships with locus of control (LoC), news information search and the adoption of protective behaviors (PBs) during the first lockdown in France. We first showed the good structural and psychometric qualities of the CoHL scale on a 3-dimensional structure: the Critical dimension, the Extraction/Communicative and the Application/Communicative dimension. We then found that CoHL was associated with the adoption of PBs suggesting that people with higher CoHL tended to adopt more PBs during the first lockdown, regardless of their LoC. However, people with low CoHL would be more likely to adopt PBs if they believe that they may get COVID-19 due to the behavior and health conditions of others (high external LoC). The study has implications for the design of public health campaigns for people with inadequate HL and with a different LoC.
Accelerated Domestication of New Crops: Yield is Key

Abstract Sustainable agriculture in the future will depend on crops that are tolerant to biotic and abiotic stresses, require minimal input of water and nutrients and can be cultivated with a minimal carbon footprint. Wild plants that fulfill these requirements abound in nature but are typically low yielding. Thus, replacing current high-yielding crops with less productive but resilient species will require the intractable trade-off of increasing land area under cultivation to produce the same yield. Cultivating more land reduces natural resources, reduces biodiversity and increases our carbon footprint. Sustainable intensification can be achieved by increasing the yield of underutilized or wild plant species that are already resilient, but achieving this goal by conventional breeding programs may be a long-term prospect. De novo domestication of orphan or crop wild relatives using mutagenesis is an alternative and fast approach to achieve resilient crops with high yields. With new precise molecular techniques, it should be possible to reach economically sustainable yields in a much shorter period of time than ever before in the history of agriculture.
Carrying a passenger and relaxation before driving: Classification of young drivers’ physiological activation

Drivers are often held responsible for road crashes. Previous research has shown that stressors such as carrying passengers in the vehicle can be a source of accidents for young drivers. To mitigate this problem, this study investigated whether the presence of a passenger behind the wheel can be predicted using machine learning, based on physiological signals. It also addresses the question whether relaxation before driving can positively influence the driver's state and help controlling the potential negative consequences of stressors. Sixty young participants completed a 10‐min driving simulator session, either alone or with a passenger. Before their driving session, participants spent 10 min relaxing or listening to an audiobook. Physiological signals were recorded throughout the experiment. Results show that drivers experience a higher increase in skin conductance when driving with a passenger, which can be predicted with 90%‐accuracy by a k‐nearest neighbors classifier. This might be a possible explanation for increased risk taking in this age group. Besides, the practice of relaxation can be predicted with 80% accuracy using a neural network. According to the statistical analysis, the potential beneficial effect of relaxation did not carry out on the driver's physiological state while driving, although machine learning techniques revealed that participants who exercised relaxation before driving could be recognized with 70% accuracy. Analysis of physiological characteristics after classification revealed several relevant physiological indicators associated with the presence of a passenger and relaxation.
Enhanced reactive oxygen detoxification occurs in salt‐stressed soybean roots expressing GmSALT3

Abstract Soybean (Glycine max) is an important crop globally for food and edible oil production. Soybean plants are sensitive to salinity (NaCl), with significant yield decreases reported under saline conditions. GmSALT3 is the dominant gene underlying a major QTL for salt tolerance in soybean. GmSALT3 encodes a transmembrane protein belonging to the plant cation/proton exchanger (CHX) family, and is predominately expressed in root phloem and xylem associated cells under both saline and non‐saline conditions. It is currently unknown through which molecular mechanism(s) the ER‐localised GmSALT3 contributes to salinity tolerance, as its localisation excludes direct involvement in ion exclusion. In order to gain insights into potential molecular mechanism(s), we used RNA‐seq analysis of roots from two soybean NILs (near isogenic lines); NIL‐S (salt‐sensitive, Gmsalt3), and NIL‐T (salt‐tolerant, GmSALT3), grown under control and saline conditions (200 mM NaCl) at three time points (0 h, 6 h, and 3 days). Gene ontology (GO) analysis showed that NIL‐T has greater responses aligned to oxidation reduction. ROS were less abundant and scavenging enzyme activity was greater in NIL‐T, consistent with the RNA‐seq data. Further analysis indicated that genes related to calcium signalling, vesicle trafficking and Casparian strip (CS) development were upregulated in NIL‐T following salt treatment. We propose that GmSALT3 improves the ability of NIL‐T to cope with saline stress through preventing ROS overaccumulation in roots, and potentially modulating Ca2+ signalling, vesicle trafficking and formation of diffusion barriers.
Association between somatosensory sensitivity and regional gray matter volume in healthy young volunteers: a voxel-based morphometry study

Abstract Two-point discrimination (2PD) test reflects somatosensory spatial discrimination ability, but evidence on the relationship between 2PD and cortical gray matter (GM) volume is limited. This study aimed to analyze the relationship between cortical GM volume and 2PD threshold in young healthy individuals and to clarify the characteristics of brain structure reflecting the individual differences in somatosensory function. 2PD was measured in 42 healthy (20 females) volunteers aged 20–32 years using a custom-made test system that can be controlled by a personal computer. The 2PD of the right index finger measured with this device has been confirmed to show good reproducibility. T1-weighted images were acquired using a 3-T magnetic resonance imaging scanner for voxel-based morphometry analysis. The mean 2PD threshold was 2.58 ± 0.54 mm. Whole-brain multiple regression analysis of the relationship between 2PD and GM volume showed that a lower 2PD threshold (i.e. better somatosensory function) significantly correlated with decreased GM volume from the middle temporal gyrus to the inferior parietal lobule (IPL) in the contralateral hemisphere. In conclusion, a lower GM volume in the middle temporal gyrus and IPL correlates with better somatosensory function. Thus, cortical GM volume may be a biomarker of somatosensory function.