bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prepregnancy obesity is associated with cognitive outcomes in boys in a low-income, multiethnic birth cohort
Authors: Widen Elizabeth M. , Nichols Amy R. , Kahn Linda G. , Factor-Litvak Pam , Insel Beverly J. , Hoepner Lori , Dube Sara M. , Rauh Virginia , Perera Frederica , Rundle Andrew 
Published: December 2019

AbstractBackgroundMaternal obesity and high gestational weight gain (GWG) disproportionally affect low-income populations and may be associated with child neurodevelopment in a sex-specific manner. We examined sex-specific associations between prepregnancy BMI, GWG, and child neurodevelopment at age 7.MethodsData are from a prospective low-income cohort of African American and Dominican women (n = 368; 44.8% male offspring) enrolled during the second half of pregnancy from 1998 to 2006. Neurodevelopment was measured using the Wechsler Intelligence Scale for Children (WISC-IV) at approximately child age 7. Linear regression estimated associations between prepregnancy BMI, GWG, and child outcomes, adjusting for race/ethnicity, marital status, gestational age at delivery, maternal education, maternal IQ and child age.ResultsOverweight affected 23.9% of mothers and obesity affected 22.6%. At age 7, full-scale IQ was higher among girls (99.7 ± 11.6) compared to boys (96.9 ± 13.3). Among boys, but not girls, prepregnancy overweight and obesity were associated with lower full-scale IQ scores [overweight β: − 7.1, 95% CI: (− 12.1, − 2.0); obesity β: − 5.7, 95% CI: (− 10.7, − 0.7)]. GWG was not associated with full-scale IQ in either sex.ConclusionsPrepregnancy overweight and obesity were associated with lower IQ among boys, but not girls, at 7 years. These findings are important considering overweight and obesity prevalence and the long-term implications of early cognitive development.
Architecture of the Short External Rotator Muscles of the Hip
Authors: Parvaresh Kevin C. , Chang Charles , Patel Ankur , Lieber Richard L. , Ball Scott T. , Ward Samuel R. 
Published: December 2019

AbstractBackgroundMuscle architecture, or the arrangement of sarcomeres and fibers within muscles, defines functional capacity. There are limited data that provide an understanding of hip short external rotator muscle architecture. The purpose of this study was thus to characterize the architecture of these small hip muscles.MethodsEight muscles from 10 independent human cadaver hips were used in this study (n = 80 muscles). Architectural measurements were made on pectineus, piriformis, gemelli, obturators, quadratus femoris, and gluteus minimus. Muscle mass, fiber length, sarcomere length, and pennation angle were used to calculate the normalized muscle fiber length, which defines excursion, and physiological cross-sectional area (PCSA), which defines force-producing capacity.ResultsGluteus minimus had the largest PCSA (8.29 cm2) followed by obturator externus (4.54 cm2), whereas superior gemellus had the smallest PCSA (0.68 cm2). Fiber lengths clustered into long (pectineus - 10.38 cm and gluteus minimus - 10.30 cm), moderate (obturator internus - 8.77 cm and externus - 8.04 cm), or short (inferior gemellus - 5.64 and superior gemellus - 4.85). There were no significant differences among muscles in pennation angle which were all nearly zero. When the gemelli and obturators were considered as a single functional unit, their collective PCSA (10.00 cm2) exceeded that of gluteus minimus as a substantial force-producing group.ConclusionsThe key findings are that these muscles have relatively small individual PCSAs, short fiber lengths, and low pennation angles. The large collective PCSA and short fiber lengths of the gemelli and obturators suggest that they primarily play a stabilizing role rather than a joint rotating role.
Phylogeography of higher Diptera in glacial and postglacial grasslands in western North America
Authors: Solecki Anna M. , Skevington Jeffrey H. , Buddle Christopher M. , Wheeler Terry A. 
Published: December 2019

Abstract
Background
Pleistocene glaciations have had an important impact on the species distribution and community composition of the North American biota. Species survived these glacial cycles south of the ice sheets and/or in other refugia, such as Beringia. In this study, we assessed, using mitochondrial DNA from three Diptera species, whether flies currently found in Beringian grasslands (1) survived glaciation as disjunct populations in Beringia and in the southern refugium; (2) dispersed northward postglacially from the southern refugium; or (3) arose by a combination of the two. Samples were collected in grasslands in western Canada: Prairies in Alberta and Manitoba; the Peace River region (Alberta); and the southern Yukon Territory. We sequenced two gene regions (658 bp of cytochrome c oxidase subunit I, 510 bp of cytochrome b) from three species of higher Diptera: one with a continuous distribution across grassland regions, and two with disjunct populations between the regions. We used a Bayesian approach to determine population groupings without a priori assumptions and performed analysis of molecular variance (AMOVA) and exact tests of population differentiation (ETPD) to examine their validity. Molecular dating was used to establish divergence times.

Results
Two geographically structured populations were found for all species: a southern Prairie and Peace River population, and a Yukon population. Although AMOVA did not show significant differentiation between populations, ETPD did. Divergence time between Yukon and southern populations predated the Holocene for two species; the species with an ambiguous divergence time had high haplotype diversity, which could suggest survival in a Beringian refugium.

Conclusions
Populations of Diptera in Yukon grasslands could have persisted in steppe habitats in Beringia through Pleistocene glaciations. Current populations in the region appear to be a mix of Beringian relict populations and, to a lesser extent, postglacial dispersal northward from southern prairie grasslands.
A deep neural network approach to predicting clinical outcomes of neuroblastoma patients
Authors: Tranchevent Léon-Charles , Azuaje Francisco , Rajapakse Jagath C. 
Published: December 2019

Abstract
Background
The availability of high-throughput omics datasets from large patient cohorts has allowed the development of methods that aim at predicting patient clinical outcomes, such as survival and disease recurrence. Such methods are also important to better understand the biological mechanisms underlying disease etiology and development, as well as treatment responses. Recently, different predictive models, relying on distinct algorithms (including Support Vector Machines and Random Forests) have been investigated. In this context, deep learning strategies are of special interest due to their demonstrated superior performance over a wide range of problems and datasets. One of the main challenges of such strategies is the “small n large p” problem. Indeed, omics datasets typically consist of small numbers of samples and large numbers of features relative to typical deep learning datasets. Neural networks usually tackle this problem through feature selection or by including additional constraints during the learning process.

Methods
We propose to tackle this problem with a novel strategy that relies on a graph-based method for feature extraction, coupled with a deep neural network for clinical outcome prediction. The omics data are first represented as graphs whose nodes represent patients, and edges represent correlations between the patients’ omics profiles. Topological features, such as centralities, are then extracted from these graphs for every node. Lastly, these features are used as input to train and test various classifiers.

Results
We apply this strategy to four neuroblastoma datasets and observe that models based on neural networks are more accurate than state of the art models (DNN: 85%-87%, SVM/RF: 75%-82%). We explore how different parameters and configurations are selected in order to overcome the effects of the small data problem as well as the curse of dimensionality.

Conclusions
Our results indicate that the deep neural networks capture complex features in the data that help predicting patient clinical outcomes.
Private expenditures on healthcare: determinants, patterns and progressivity aspects
Authors: Achdut Leah 
Published: December 2019

Abstract
Background
The mixture of public vs. private financing of the healthcare system has important fiscal and economic welfare implications. The consequences of this mixture for access to health services and for equity have become highly debated policy issues. In the first decade of 2000s, Israel experienced a continuous upward trend in the proportion of private financing, reaching a peak of 37–38%, which has subsequently leveled off. The 38% level is significantly higher than the 26% average across the Organization for Economic Co-operation and Development (OECD) countries.

Main text
A recent paper by Tur-Sinai et al. in this journal shows that private spending by Israelis on health care is positively related to the income of individuals and to the socioeconomic status of their place of residence. This commentary draws attention to studies that integrate into one model both demand-side and supply-side determinants of private expenditures on healthcare. It also discusses inequity.

Conclusions
Overall, the financing of national health expenditures in Israel is slightly regressive, but the progressivity of public financing is almost enough to offset the regressive effect of out-of-pocket payments and payments for voluntary complementary insurance.
The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for research
Authors: Saldanha Ian J. , Smith Bryant T. , Ntzani Evangelia , Jap Jens , Balk Ethan M. , Lau Joseph 
Published: December 2019

Abstract
Background
Conducting systematic reviews (“reviews”) requires a great deal of effort and resources. Making data extracted during reviews available publicly could offer many benefits, including reducing unnecessary duplication of effort, standardizing data, supporting analyses to address secondary research questions, and facilitating methodologic research. Funded by the US Agency for Healthcare Research and Quality (AHRQ), the Systematic Review Data Repository (SRDR) is a free, web-based, open-source, data management and archival platform for reviews. Our specific objectives in this paper are to describe (1) the current extent of usage of SRDR and (2) the characteristics of all projects with publicly available data on the SRDR website.

Methods
We examined all projects with data made publicly available through SRDR as of November 12, 2019. We extracted information about the characteristics of these projects. Two investigators extracted and verified the data.

Results
SRDR has had 2552 individual user accounts belonging to users from 80 countries. Since SRDR’s launch in 2012, data have been made available publicly for 152 of the 735 projects in SRDR (21%), at a rate of 24.5 projects per year, on average. Most projects are in clinical fields (144/152 projects; 95%); most have evaluated interventions (therapeutic or preventive) (109/152; 72%). The most frequent health areas addressed are mental and behavioral disorders (31/152; 20%) and diseases of the eye and ocular adnexa (23/152; 15%). Two-thirds of the projects (104/152; 67%) were funded by AHRQ, and one-sixth (23/152; 15%) are Cochrane reviews. The 152 projects each address a median of 3 research questions (IQR 1–5) and include a median of 70 studies (IQR 20–130).

Conclusions
Until we arrive at a future in which the systematic review and broader research communities are comfortable with the accuracy of automated data extraction, re-use of data extracted by humans has the potential to help reduce redundancy and costs. The 152 projects with publicly available data through SRDR, and the more than 15,000 studies therein, are freely available to researchers and the general public who might be working on similar reviews or updates of reviews or who want access to the data for decision-making, meta-research, or other purposes.
Truncated-exponential-based Frobenius–Euler polynomials
Authors: Kumam Wiyada , Srivastava Hari Mohan , Wani Shahid Ahmad , Araci Serkan , Kumam Poom 
Published: December 2019

AbstractIn this paper, we first introduce a new family of polynomials, which are called the truncated-exponential based Frobenius–Euler polynomials, based upon an exponential generating function. By making use of this exponential generating function, we obtain their several new properties and explicit summation formulas. Finally, we consider the truncated-exponential based Apostol-type Frobenius–Euler polynomials and their quasi-monomial properties.
Effects of the Income Stabilization Tool on farm income level, variability and concentration in Italian agriculture
Authors: Severini Simone , Di Tommaso Giuliano , Finger Robert 
Published: December 2019

AbstractThis paper provides an ex ante assessment of the effects of the Income Stabilization Tool (IST), a new risk management tool proposed in the Common Agricultural Policy of the European Union. We investigate the effects of IST on income variability and levels as well as on income inequality in the farming population. We take Italian agriculture as an example as the introduction of IST is currently under discussion there. A rich panel of 2777 farms was studied over a period of 7 years. We use stochastic simulation to derive different income inequality estimates and apply Gini decomposition approaches to assess the distributional implications of IST. We compare the current income situation with that resulting from a hypothetical implementation of IST under different policy scenarios, also accounting for reduced levels of CAP direct payments. We find that IST not only stabilizes farm income but also enhances its level and reduces income inequality in Italian agriculture. IST is more effective in reducing income inequality when farmers pay contributions to mutual funds that are proportional to their income compared to the case of flat rate contributions. Finally, results do not support the hypothesis that the impact of IST will differ if the level of direct payments were to be reduced. Thus, results seem robust enough to accommodate future policy conditions.
Self-objectification and eating disorder pathology in an ethnically diverse sample of adult women: cross-sectional and short-term longitudinal associations
Authors: Kilpela Lisa Smith , Calogero Rachel , Wilfred Salomé A. , Verzijl Christina L. , Hale Willie J. , Becker Carolyn Black 
Published: December 2019

AbstractBackgroundExtensive support exists for objectification theory’s original aim of explaining patterns of women’s mental health risk through a sociocultural lens. One pathway in objectification theory proposes a mediational role of body shame in the relationship between self-objectification and eating disorder (ED) pathology. Robust past cross-sectional research supports this proposed pathway, but largely in non-Hispanic Caucasian, college-aged samples; this pathway has yet to be empirically demonstrated longitudinally. Given previously documented concerns regarding direct measurement of body shame, we tested two measures of body shame as mediators in both cross-sectional and longitudinal models in a diverse sample of adult women.MethodUtilizing snowball sampling via email, we recruited age and racially/ethnically diverse women predominantly within the United States. Participants completed online surveys assessing self-objectification (operationalized as body surveillance), body shame, and ED pathology at baseline, 3-months and 6-months.ResultsRacial/ethnic minority (n = 139) and non-Hispanic Caucasian (n = 181) adult women completed the measures. Cross-sectional moderated mediation models indicated that racial/ethnic status did not moderate relationships, and that body shame significantly mediated the relation between body surveillance and ED pathology at each time point. The longitudinal model, analyzed using cross-lagged panel analyses, was nonsignificant, as body surveillance failed to predict future body shame when controlling for past body shame.ConclusionsRacial/ethnic status did not moderate relations at any time point. Cross-sectional findings replicated past research; the longitudinal model did not support a core mediation pathway linking self-objectification to ED pathology through body shame. Because self-objectification putatively develops earlier in life, future research also should examine these relations in younger diverse samples over a longer time period.
Exploring the feasibility and acceptability of a mixed-methods pilot randomized controlled trial testing a 12-week physical activity intervention with adolescent and young adult cancer survivors
Authors: Wurz Amanda , Brunet Jennifer 
Published: December 2019

Abstract
Background
Adolescent and young adult (AYA) cancer survivors (i.e. individuals diagnosed with cancer between 15 and 39 years and who completed treatment) may benefit from physical activity. Yet, few researchers have explored the effects of physical activity on physical and psychological outcomes among AYA cancer survivors. A pilot study exploring the feasibility and acceptability of a physical activity intervention and proposed trial methods to inform a definitive randomized controlled trial (RCT) is therefore necessary to fill this gap.

Methods
A two-arm, mixed-methods pilot RCT was conducted. Participants were randomized to a wait-list control group or a 12-week physical activity intervention comprised of 4 weekly aerobic and strength training sessions (intervention group). Feasibility measures included: number of AYA cancer survivors referred/self-referred, eligible, and recruited, retention to the trial (i.e. assessment completion), adherence to the physical activity intervention, and percentage of missing data for baseline (week 0), mid- (week 6), and post-intervention assessments (week 12). The acceptability of trial methods (all participants) and the intervention (intervention group only) was assessed via qualitative interviews post-intervention.

Results
Over a 12-month period, 31 AYA cancer survivors were referred/self-referred and 16 were eligible and consented to participate. Retention to the trial was 94% and adherence to the physical activity intervention ranged from 50 to 92%. With the exception of the assessment of aerobic capacity and directly measured physical activity behaviour, there were no missing data. Participants generally reported being satisfied with the trial methods and intervention; however, issues related to delivery of the physical activity intervention were identified.

Conclusions
The methods and intervention piloted require modification and further pilot testing in advance of a definitive RCT. Recruitment strategies identifying a greater number of younger AYA cancer survivors who have different types of cancers and who lack motivation to participate in physical activity-based studies should be explored. Refining the assessments of directly measured physical activity behaviour and aerobic capacity and incorporating behavioural support into the intervention may improve feasibility and acceptability. This study highlights the value of doing pilot work and provides critically useful data that can be used to refine studies seeking to assess causation and optimize physical activity interventions for AYA cancer survivors.

Trial registration
clinicaltrials.gov, NCT03016728. Registered January 11, 2017.
The effect of replacing 1 week of content teaching with an intensive simulation-based learning activity on physiotherapy student clinical placement performance
Authors: Tuttle Neil , Horan Sean A. 
Published: December 2019

Abstract
Background
Simulation-based learning (SBL) activities are increasingly used to replace or supplement clinical placements for physiotherapy students. There is limited literature evaluating SBL activities that replace on-campus teaching, and to our knowledge, no studies evaluate the role of SBL in counteracting the negative impact of delay between content teaching and clinical placements. The aims of this study were to (i) determine the effect on clinical placement performance of replacing 1 week of content teaching with a SBL activity and (ii) determine if a delay between content teaching and clinical placement impacted clinical placement performance.

Methods
This study is a retrospective cohort study. Participants included students in the first two clinical placements of a graduate-entry, masters-level program. Six hundred twenty-nine student placements were analysed—285 clinical placements where students undertook a 20-h SBL activity immediately prior to clinical placement were compared with 344 placements where students received traditional content. Of the placements where students received the SBL, 147 occurred immediately following content teaching and 138 had a delay of at least 5 weeks. Performance on clinical placement was assessed using the Assessment of Physiotherapy Practice (APP).

Results
There was a significant main effect of SBL with higher APP marks for the experimental group (3.12/4, SD = 0.25 vs 3.01/4, SD = 0.22), and post hoc analysis indicated marks were significantly higher for all seven areas of assessment. Students whose placements immediately followed content teaching performed better on mid-placement APP marks in two areas of assessment (analysis and planning, and intervention) compared to students for whom there was a delay. There were no statistically significant differences in relation to delay for end of placement APP marks.

Conclusion
Replacing 1 week of classroom teaching with a targeted, SBL activity immediately before placement significantly improved student performance on that clinical placement. A negative impact of delay was found on mid-placement, but not the end of placement APPs. Findings of improved performance when replacing a week of content teaching with a targeted SBL activity, and poorer performance on mid-placement marks with a delay between content teaching and clinical placement, may have implications for curriculum design.
Developing preclinical models of neuroblastoma: driving therapeutic testing
Authors: Ornell Kimberly J. , Coburn Jeannine M. 
Published: December 2019

AbstractDespite advances in cancer therapeutics, particularly in the area of immuno-oncology, successful treatment of neuroblastoma (NB) remains a challenge. NB is the most common cancer in infants under 1 year of age, and accounts for approximately 10% of all pediatric cancers. Currently, children with high-risk NB exhibit a survival rate of 40–50%. The heterogeneous nature of NB makes development of effective therapeutic strategies challenging. Many preclinical models attempt to mimic the tumor phenotype and tumor microenvironment. In vivo mouse models, in the form of genetic, syngeneic, and xenograft mice, are advantageous as they replicated the complex tumor-stroma interactions and represent the gold standard for preclinical therapeutic testing. Traditional in vitro models, while high throughput, exhibit many limitations. The emergence of new tissue engineered models has the potential to bridge the gap between in vitro and in vivo models for therapeutic testing. Therapeutics continue to evolve from traditional cytotoxic chemotherapies to biologically targeted therapies. These therapeutics act on both the tumor cells and other cells within the tumor microenvironment, making development of preclinical models that accurately reflect tumor heterogeneity more important than ever. In this review, we will discuss current in vitro and in vivo preclinical testing models, and their potential applications to therapeutic development.