bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and factors associated with poor mental health among healthcare professionals in low- and lower-middle-income countries: a systematic review protocol
Authors: Lohmann Julia , John Denny , Dzay Aso 
Published: November 2019

Abstract
Background
A healthy and productive health workforce is central to a well-functioning health system. However, health workers are at high risk of poor psychological wellbeing due to their particularly strenuous work demands. While mental health of health workers is a well-researched issue in high-income countries, research from low- and lower-middle-income countries (LLMIC) has begun to emerge only recently. The review aims to synthesize this body of research, specifically to assess the prevalence of mental health issues among health workers in LLMIC, to identify factors associated with good or poor mental health, and to highlight gaps in knowledge.

Methods
We will perform a systematic search of the published English and French language literature (from inception onwards) in MEDLINE, EMBASE, and PsycINFO. Eligible for inclusion are observational studies (e.g., cross-sectional, case-control, or cohort) and control arms of randomized controlled trials reporting investigations on the nature, prevalence, and factors associated with mental health or psychological wellbeing among formally trained health professionals and health associate professionals delivering health services in formal healthcare facilities in LLMIC. The primary outcomes will be burnout, depression, and general psychological wellbeing. Secondary outcomes include other specific mental health diagnoses, as well as general psychological stress, distress and/or trauma if work-related and explicitly framed as a mental health issue. Two authors will independently examine the studies against the eligibility criteria in the stages of title, abstract, and full-text study selection, as well as assess the risk of bias in included studies using standard checklists depending on study design. Disagreements will be resolved in discussion with the third author. Data will be extracted from included studies using a predefined and piloted coding framework. Given the anticipated heterogeneity of studies, we do not expect to be able to conduct meta-analysis and plan to summarize the extracted data in narrative form. The framework method will be used to organize narrative data by subthemes and explore patterns.

Discussion
In assessing the prevalence of mental health issues among healthcare professionals in LLMIC and identifying factors associated with positive or poor mental health, the review aims to synthesize all possible available information for policy makers and health system managers on a potentially highly important but not yet much-discussed issue and to highlight gaps in currently available knowledge.

Systematic review registration
International Prospective Register of Systematic Reviews PROSPERO (registration number CRD42019140036)
Strategies and effects of promising school-based interventions to promote active school transportation by bicycle among children and adolescents: protocol for a systematic review
Authors: Schönbach Dorothea M. I. , Altenburg Teatske M. , Chinapaw Mai J. M. , Marques Adilson , Demetriou Yolanda 
Published: November 2019

Abstract
Background
Active school travel by bike may provide appropriate means to promote physical activity through commuting to and from school, expanding the mobility during leisure time, and integrating a lifelong positive behavior routine. However, bicycling seems to be a less common form of active school transport and declining cycling to school trends in some European countries have been observed. Therefore, effective interventions aiming at promoting biking to school are warranted. To gain a better understanding of effective programs, the systematic review will summarize strategies and effects of school-based interventions targeted on positively influencing active school travel by bicycle.

Methods
The databases ERIC, PsycINFO, PSYNDEX, PubMed, Scopus, SPORTDiscus, SURF, and Web of Science will be searched utilizing a detailed search strategy according to “PICo”. Consequently, there will be no restriction regarding the outcomes measured in studies. For inclusion in the review, the identified primary studies (i.e. randomized and non-randomized controlled trials) should be published between 2000 and 2019 due to their current relevance, and written in English. The screening, data extraction, and appraisal of study quality as well as behavior change techniques will be undertaken by two independent researchers. To assess the methodological quality of every included study, the quality assessment tool “Effective Public Health Practice Project” for quantitative studies will be used. Behavior change techniques will be identified by utilizing the “BCT Taxonomy v1”. If data permits, meta-analyses for intervention effects will be conducted where appropriate.

Discussion
The planned systematic review can provide information about how bicycling is considered in school-based interventions as an effective strategy to promote active commuting to school among students. In this regard, the conclusions drawn from the review will establish a basis for researchers to plan and implement a comprehensive cycling intervention in the school setting.

Systematic review registration
PROSPEROCRD42019125192
Local and global bifurcation of steady states to a general Brusselator model
Authors: Zhao Zhongzi , Ma Ruyun 
Published: November 2019

AbstractIn this paper, we consider the local and global bifurcation of nonnegative nonconstant solutions of a general Brusselator model$$ \textstyle\begin{cases} -d_{1}\triangle u=a-(b+1)f(u)+u^{2}v, & x\in \varOmega , \\ -d_{2}\triangle v=bf(u)-u^{2}v, & x\in \varOmega , \\ \frac{\partial u}{\partial n}=\frac{\partial v}{\partial n}=0, & x\in \partial \varOmega , \end{cases} $${−d1△u=a−(b+1)f(u)+u2v,x∈Ω,−d2△v=bf(u)−u2v,x∈Ω,∂u∂n=∂v∂n=0,x∈∂Ω,where$d_{1},d_{2},a>0$d1,d2,a>0are fixed parameters with$d_{2}>d_{1}$d2>d1,$b>0$b>0is a bifurcation parameter;$f\in C([0,\infty ) ,[0,\infty ))$f∈C([0,∞),[0,∞))is a strictly increasing function and$f'(f^{-1}(a))\in (0,\infty )$f′(f−1(a))∈(0,∞). Moreover, via the Rabinowitz bifurcation theorem, we obtain the global structure of nonconstant solutions under the condition that$\frac{f(s)}{s^{2}}$f(s)s2is nonincreasing in$(0,\infty )$(0,∞).
P-wave first-motion polarity determination of waveform data in western Japan using deep learning
Authors: Hara Shota , Fukahata Yukitoshi , Iio Yoshihisa 
Published: November 2019

AbstractP-wave first-motion polarity is the most useful information in determining the focal mechanisms of earthquakes, particularly for smaller earthquakes. Algorithms have been developed to automatically determine P-wave first-motion polarity, but the performance level of the conventional algorithms remains lower than that of human experts. In this study, we develop a model of the convolutional neural networks (CNNs) to determine the P-wave first-motion polarity of observed seismic waveforms under the condition that P-wave arrival times determined by human experts are known in advance. In training and testing the CNN model, we use about 130 thousand 250 Hz and about 40 thousand 100 Hz waveform data observed in the San-in and the northern Kinki regions, western Japan, where three to four times larger number of waveform data were obtained in the former region than in the latter. First, we train the CNN models using 250 Hz and 100 Hz waveform data, respectively, from both regions. The accuracies of the CNN models are 97.9% for the 250 Hz data and 95.4% for the 100 Hz data. Next, to examine the regional dependence, we divide the waveform data sets according to the observation region, and then we train new CNN models with the data from one region and test them using the data from the other region. We find that the accuracy is generally high ($${ \gtrsim }$$≳ 95%) and the regional dependence is within about 2%. This suggests that there is almost no need to retrain the CNN model by regions. We also find that the accuracy is significantly lower when the number of training data is less than 10 thousand, and that the performance of the CNN models is a few percentage points higher when using 250 Hz data compared to 100 Hz data. Distribution maps, on which polarities determined by human experts and the CNN models are plotted, suggest that the performance of the CNN models is better than that of human experts.
Elastic wave velocity and electrical conductivity in a brine-saturated rock and microstructure of pores
Authors: Watanabe Tohru , Makimura Miho , Kaiwa Yohei , Desbois Guillaume , Yoshida Kenta , Michibayashi Katsuyoshi 
Published: November 2019

AbstractElastic wave velocity and electrical conductivity in a brine-saturated granitic rock were measured under confining pressures of up to 150 MPa and microstructure of pores was examined with SEM on ion-milled surfaces to understand the pores that govern electrical conduction at high pressures. The closure of cracks under pressure causes the increase in velocity and decrease in conductivity. Conductivity decreases steeply below 10 MPa and then gradually at higher pressures. Though cracks are mostly closed at the confining pressure of 150 MPa, brine must be still interconnected to show observed conductivity. SEM observation shows that some cracks have remarkable variation in aperture. The aperture varies from ~ 100 nm to ~ 3 μm along a crack. FIB–SEM observation suggests that wide aperture parts are interconnected in a crack. Both wide and narrow aperture parts work parallel as conduction paths at low pressures. At high pressures, narrow aperture parts are closed but wide aperture parts are still open to maintain conduction paths. The closure of narrow aperture parts leads to a steep decrease in conductivity, since narrow aperture parts dominate cracks. There should be cracks in various sizes in the crust: from grain boundaries to large faults. A crack must have a variation in aperture, and wide aperture parts must govern the conduction paths at depths. A simple tube model was employed to estimate the fluid volume fraction. The fluid volume fraction of 10−4–10−3 is estimated for the conductivity of 10−2 S/m. Conduction paths composed of wide aperture parts are consistent with observed moderate fluctuations (< 10%) in seismic velocity in the crust.
Tumor treating fields in the management of Glioblastoma: opportunities for advanced imaging
Authors: Soni Vikram S. , Yanagihara Ted K. 
Published: November 2019

AbstractAlternating electric fields have been successfully applied to cancer cells in-vitro to disrupt malignant progression and this antimitotic therapy has now been proven to be efficacious in Phase II and Phase III randomized clinical trials of patients with glioblastoma. With additional clinical trials ongoing in a number of other malignancies, there is a crucial need for a better understanding of the radiographic predictors of response and standardization of surveillance imaging interpretation. However, many radiologists have yet to become familiarized with this emerging cancer therapy and there is little active investigation to develop prognostic or predictive imaging biomarkers. This article provides an overview of the pre-clinical data that elucidate the biologic mechanisms of alternating electric fields as a cancer therapy. Results from clinical trials in patients with glioblastoma are then reviewed while elaborating on the several limitations to adoption of this promising line of treatment. Finally, a proposal for the development of imaging markers as a means of overcoming some of these limitations is made, which may improve treatment utilization by augmenting patient selection not only in glioblastoma, but also other malignant conditions for which this therapy is currently being evaluated.
3D printed mesh reinforcements enhance the mechanical properties of electrospun scaffolds
Authors: Pensa Nicholas W. , Curry Andrew S. , Bonvallet Paul P. , Bellis Nathan F. , Rettig Kayla M. , Reddy Michael S. , Eberhardt Alan W. , Bellis Susan L. 
Published: November 2019

Abstract

Background
There is substantial interest in electrospun scaffolds as substrates for tissue regeneration and repair due to their fibrous, extracellular matrix-like composition with interconnected porosity, cost-effective production, and scalability. However, a common limitation of these scaffolds is their inherently low mechanical strength and stiffness, restricting their use in some clinical applications. In this study we developed a novel technique for 3D printing a mesh reinforcement on electrospun scaffolds to improve their mechanical properties.

Methods
A poly (lactic acid) (PLA) mesh was 3D-printed directly onto electrospun scaffolds composed of a 40:60 ratio of poly(ε-caprolactone) (PCL) to gelatin, respectively. PLA grids were printed onto the electrospun scaffolds with either a 6 mm or 8 mm distance between the struts. Scanning electron microscopy was utilized to determine if the 3D printing process affected the archtitecture of the electrospun scaffold. Tensile testing was used to ascertain mechanical properties (strength, modulus, failure stress, ductility) of both unmodified and reinforced electrospun scaffolds. An in vivo bone graft model was used to assess biocompatibility. Specifically, reinforced scaffolds were used as a membrane cover for bone graft particles implanted into rat calvarial defects, and implant sites were examined histologically.

Results
We determined that the tensile strength and elastic modulus were markedly increased, and ductility reduced, by the addition of the PLA meshes to the electrospun scaffolds. Furthermore, the scaffolds maintained their matrix-like structure after being reinforced with the 3D printed PLA. There was no indication at the graft/tissue interface that the reinforced electrospun scaffolds elicited an immune or foreign body response upon implantation into rat cranial defects.

Conclusion
3D-printed mesh reinforcements offer a new tool for enhancing the mechanical strength of electrospun scaffolds while preserving the advantageous extracellular matrix-like architecture. The modification of electrospun scaffolds with 3D-printed reinforcements is expected to expand the range of clinical applications for which electrospun materials may be suitable.
Improved synthesis of SV2A targeting radiotracer [11C]UCB-J
Authors: Rokka Johanna , Schlein Eva , Eriksson Jonas 
Published: November 2019

Abstract
Introduction
[11C]UCB-J is a tracer developed for PET (positron emission tomography) that has high affinity towards synaptic vesicle glycoprotein 2A (SV2A), a protein believed to participate in the regulation of neurotransmitter release in neurons and endocrine cells. The localisation of SV2A in the synaptic terminals makes it a viable target for in vivo imaging of synaptic density in the brain. Several SV2A targeting compounds have been evaluated as PET tracers, including [11C]UCB-J, with the aim to facilitate studies of synaptic density in neurological diseases.
The original two-step synthesis method failed in our hands to produce sufficient amounts of [11C]UCB-J, but served as an excellent starting point for further optimizations towards a high yielding and simplified one-step method. [11C]Methyl iodide was trapped in a clear THF-water solution containing the trifluoroborate substituted precursor, potassium carbonate and palladium complex. The resulting reaction mixture was heated at 70 °C for 4 min to produce [11C]UCB-J.

Results
After semi-preparative HPLC purification and reformulation in 10% ethanol/phosphate buffered saline, the product was obtained in 39 ± 5% radiochemical yield based on [11C]methyl iodide, corresponding to 1.8 ± 0.5 GBq at EOS. The radiochemical purity was > 99% and the molar activity was 390 ± 180 GBq/μmol at EOS. The product solution contained < 2 ppb palladium.

Conclusions
A robust and high yielding production method has been developed for [11C]UCB-J, suitable for both preclinical and clinical PET applications.
Advances in research on the active constituents and physiological effects of Ganoderma lucidum
Authors: Yang Yunli , Zhang Huina , Zuo Jinhui , Gong Xiaoyan , Yi Fan , Zhu Wanshan , Li Li 
Published: November 2019

Abstract
Background
Ganoderma lucidum, a double-walled basidiospore produced by porous basidiomycete fungi, has been used as a traditional medicine for thousands of years. It is considered a valuable Chinese medicine for strengthening body resistance, invigorating the spleen, and replenishing Qi. G. lucidum contains a variety of active ingredients, such as polysaccharides, triterpenoids, nucleosides, sterols, alkaloids, polypeptides, fatty acids, steroids, and inorganic elements, and has anticancer, anti-inflammatory, hepatoprotection, hypoglycemic, anti-melanogenesis, anti-aging, and skin barrier-repairing activity.

Conclusions
The review summarizes the traditional usages, distribution, active constituents, structure, and biological effects of G. lucidum, with an aim to offer directions for further research and better usage of G. lucidum as a medicinal raw material.
Using high frequency oligonucleotides-targeting active gene (HFO-TAG) markers for genetic evaluation among genotypes (Cucurbita pepo L. and C. maxima L.)
Authors: Elshafei Adel Ahmed , Alateeq Talal Khaled , Habib Rafik Mostafa , Motawei Mohamed Ibrahim 
Published: November 2019

AbstractBackgroundCucurbita spp. is a main source of crypto-xanthine, zeaxanthin lutein folates, and natural poly-phenolic flavonoid compounds. Collection and conservation of genetic variability are helpful in genetic advancement programs. Twenty-two pumpkin genotypes (21genotypes ofCucurbita pepoL. and one genotype of C.maximaL.) were collected from different regions of Saudi Arabia. Fifteen HFO-TAGhigh frequency oligonucleotide–targeting active gene markers were used to analyze genetic variability among 22 pumpkin genotypes.ResultsA total of 107 alleles were detected by the 15 HFO-TAG markers, an average of 7.133 alleles per primer. Polymorphisms were found in 102 alleles, an average of 6.866 alleles per primer. The PIC values measured from all of the HFO-TAG markers were high, and ranged from 0.8940 to 0.7225, with an average 0.8212 per marker.ConclusionsThe results of the cluster analysis of pumpkin genotypes were separated into seven groups according to the collection region.
Comparison between C-arm cone beam computed tomography and interventional angiography in transarterial chemoembolization of hepatocellular carcinoma
Authors: Diab Ibraheim Ahmed , Hassanein Shaimaa Abdel-hamid , Mohamed Hala Hafez 
Published: November 2019

Abstract
Background
Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy of adults. One of the established treatment procedures performed worldwide for HCC is transcatheter arterial chemoembolization (TACE). By using conventional angiography in TACE, we can detect and identify the vascular anatomy of the liver through obtaining 2D images. Recently C-arm cone beam computed tomography (CBCT) is introduced for obtaining cross-sectional and three-dimensional (3D) images for better visualization of small tumors and their feeding arteries.

Results
The number of detected focal lesions by angiography was 51 compared to 87 focal lesion detected by CBCT; of those, 45 and 77 were active lesions by both procedures respectively. For lesions, less than 1 cm CBCT detected 23 lesions while angiography detected only one lesion. Angiography detected 87 feeding arterial branch while cone beam CT-HA detected 130 branches to the same number of target lesion. Feeder tractability and confidence were better by CBCT.

Conclusion
CBCT is superior to angiography in tumor detectability, detection of lesions less than 1 cm, feeder detection, and feeder traction; however, conventional angiography and DSA are irreplaceable. Thus, combination of CBCT with angiography during TACE produces better results and less complication.
Models and Impacts of Science Research Experiences: A Review of the Literature of CUREs, UREs, and TREs
Authors: Krim Jessica S. , Coté Laleh E. , Schwartz Renée S. , Stone Elisa M. , Cleeves Jessica J. , Barry Kelly J. , Burgess Wilella , Buxner Sanlyn R. , Gerton Jordan M. , Horvath Lawrence , Keller John M. , Lee Soon Chun , Locke Sharon M. , Rebar Bryan M. 
Published: November 2019

In efforts to increase scientific literacy and enhance the preparation of learners to pursue careers in science, there are growing opportunities for students and teachers to engage in scientific research experiences, including course-based undergraduate research experiences (CUREs), undergraduate research experiences (UREs), and teacher research experiences (TREs). Prior literature reviews detail a variety of models, benefits, and challenges and call for the continued examination of program elements and associated impacts. This paper reports a comprehensive review of 307 papers published between 2007 and 2017 that include CURE, URE, and TRE programs, with a special focus on research experiences for K–12 teachers. A research-supported conceptual model of science research experiences was used to develop a coding scheme, including participant demographics, theoretical frameworks, methodology, and reported outcomes. We summarize recent reports on program impacts and identify gaps or misalignments between goals and measured outcomes. The field of biology was the predominant scientific disciplinary focus. Findings suggest a lack of studies explicitly targeting 1) participation and outcomes related to learners from underrepresented populations, 2) a theoretical framework that guides program design and analysis, and, for TREs, 3) methods for translation of research experiences into K–12 instructional practices, and 4) measurement of impact on K–12 instructional practices.
Validation of Seven Type 2 Diabetes Mellitus Risk Scores in a Population-Based Cohort: The CoLaus Study
Authors: Kraege Vanessa , Fabecic Janko , Marques-Vidal Pedro , Waeber Gérard , Méan Marie 
Published: November 2019

Abstract

Aim
To assess the validity of seven type 2 diabetes mellitus (T2DM) risk scores in predicting the 10-year incidence of T2DM in a Swiss population-based study.

Methods
The prospective study included 5131 participants (55% women, age range 35 to 75 years) living in Lausanne, Switzerland. The baseline survey was conducted between 2003 and 2006, and the average follow-up was 10.9 years. Five clinically-based scores (the Balkau, Kahn clinical, Griffin, Swiss Diabetes Association [SDAS], and Finnish Diabetes Risk Score [FINDRISC]) and two clinically and biologically based scores (the Kahn CB and Wilson) were tested.

Results
405 (7.9%) participants developed T2DM. The overall prevalence of participants at high risk ranged from 13.7% for the Griffin score to 43.3% for the Balkau score. The prevalence of participants at high risk among those who developed T2DM ranged from 34.6% for the Griffin score to 82.0% for the Kahn CB score. The Kahn CB score had the highest area under the ROC (value and 95% confidence interval: 0.866 [0.849–0.883]), followed by the FINDRISC (0.818 [0.798–0.838]), while the Griffin score had the lowest (0.740 [0.718–0.762]). Sensitivities and specificities were above 70%, except for the Griffin and the Kahn C scores (for sensitivity) and the Balkau score (for specificity). The numbers needed to screen ranged from 15.5 for the Kahn CB score to 36.7 for the Griffin score.

Conclusion
The Kahn CB and the FINDRISC scores performed the best out of all the scores. The FINDRISC score could be used in an epidemiological setting, while the need for blood sampling for the Kahn CB score restricts its use to a more clinical setting.