bluuebunny/crossref_metadata_2025_split huggingface dataset:
Religious Service Attendance, Religious Coping, and Risk of Hypertension in Women Participating in the Nurses’ Health Study II
Authors: Spence Nicholas D , Farvid Maryam S , Warner Erica T , VanderWeele Tyler J , Tworoger Shelley S , Argentieri M Austin , Shields Alexandra E 
Published: October 2019

Abstract
The association between religious service attendance, religious coping, and hypertension is unclear. Prospective research and assessment of potential mediators is needed to understand this relationship. From 2001–2013, we prospectively followed 44,281 nonhypertensive women who provided information on religious service attendance and religious coping in the Nurses’ Health Study II. Cox regression and mediation analyses were conducted to assess associations between religion and hypertension. There were 453,706 person-years of follow-up and 11,773 incident hypertension cases. Women who attended religious services were less likely to develop hypertension. In the fully adjusting model, compared with women who never or almost never attend religious meetings or services, women attending less than once per month (hazard ratio (HR) = 0.97, 95% confidence interval (CI): 0.91, 1.03), 1–3 times per month (HR = 0.94, 95% CI: 0.88, 1.00), once per week (HR = 0.93, 95% CI: 0.88, 0.98), or more than once per week (HR = 0.91, 95% CI: 0.86, 0.97) showed a decreased risk of hypertension (P for trend = 0.001). Body mass index was an important mediator (11.5%; P &lt; 0.001). Religious coping had a marginal association with hypertension. In conclusion, religious service attendance was modestly associated with hypertension in an inverse dose-response manner and partially mediated through body mass index. Future research is needed on biological or social reasons for the lower risk of hypertension.
The risk-takers and -avoiders: germination sensitivity to water stress in an arid zone with unpredictable rainfall
Authors: Duncan Corrine , Schultz Nick L , Good Megan K , Lewandrowski Wolfgang , Cook Simon 
Published: October 2019

Abstract
Water availability is a critical driver of population dynamics in arid zones, and plant recruitment is typically episodic in response to rainfall. Understanding species’ germination thresholds is key for conservation and restoration initiatives. Thus, we investigated the role of water availability in the germination traits of keystone species in an arid ecosystem with stochastic rainfall. We measured seed germination responses of five arid species, along gradients of temperature and water potential under controlled laboratory conditions. We then identified the cardinal temperatures and base water potentials for seed germination, and applied the hydrotime model to assess germination responses to water stress. Optimum temperatures for germination ranged from 15 to 31 °C under saturated conditions (0 MPa), and three species had low minimum temperatures for germination (&lt;3 °C). A small proportion of seeds of all species germinated under dry conditions (Ψ ≤ −1 MPa), although base water potential for germination (Ψ b50) ranged from −0.61 to −0.79 MPa. Species adhered to one of two germination traits: (i) the risk-takers which require less moisture availability for germination, and which can germinate over a wider range of temperatures irrespective of water availability (Casuarina pauper and Maireana pyramidata), and (ii) the risk-avoiders which have greater moisture requirements, a preference for cold climate germination, and narrower temperature ranges for germination when water availability is low (Atriplex rhagodioides, Maireana sedifolia and Hakea leucoptera). High seed longevity under physiological stress in H. leucoptera, combined with a risk-avoiding strategy, allows bet-hedging. The hydrotime model predicted lower base water potentials for germination than observed by the data, further supporting our assertion that these species have particular adaptations to avoid germination during drought. This study provides insights into the complex physiological responses of seeds to environmental stress, and relates seed germination traits to community dynamics and restoration in arid zones.
FullMeSH: improving large-scale MeSH indexing with full text
Authors: Dai Suyang , You Ronghui , Lu Zhiyong , Huang Xiaodi , Mamitsuka Hiroshi , Zhu Shanfeng 
Published: October 2019

Abstract

Motivation
With the rapidly growing biomedical literature, automatically indexing biomedical articles by Medical Subject Heading (MeSH), namely MeSH indexing, has become increasingly important for facilitating hypothesis generation and knowledge discovery. Over the past years, many large-scale MeSH indexing approaches have been proposed, such as Medical Text Indexer, MeSHLabeler, DeepMeSH and MeSHProbeNet. However, the performance of these methods is hampered by using limited information, i.e. only the title and abstract of biomedical articles.

Results
We propose FullMeSH, a large-scale MeSH indexing method taking advantage of the recent increase in the availability of full text articles. Compared to DeepMeSH and other state-of-the-art methods, FullMeSH has three novelties: (i) Instead of using a full text as a whole, FullMeSH segments it into several sections with their normalized titles in order to distinguish their contributions to the overall performance. (ii) FullMeSH integrates the evidence from different sections in a ‘learning to rank’ framework by combining the sparse and deep semantic representations. (iii) FullMeSH trains an Attention-based Convolutional Neural Network for each section, which achieves better performance on infrequent MeSH headings. FullMeSH has been developed and empirically trained on the entire set of 1.4 million full-text articles in the PubMed Central Open Access subset. It achieved a Micro F-measure of 66.76% on a test set of 10 000 articles, which was 3.3% and 6.4% higher than DeepMeSH and MeSHLabeler, respectively. Furthermore, FullMeSH demonstrated an average improvement of 4.7% over DeepMeSH for indexing Check Tags, a set of most frequently indexed MeSH headings.

Availability and implementation
The software is available upon request.

Supplementary information
Supplementary data are available at Bioinformatics online.
Fifty per cent and all that: what Haldane actually said
Authors: Cook Laurence M , Turner John R G 
Published: October 2019

Abstract
In 1924, J. B. S. Haldane used the observation of increasing melanic frequencies in peppered moths (Biston betularia L.) to illustrate strong selection in a natural population. Since the phenomenon was first observed, there has been criticism and misinterpretation of work on industrial melanism in moths coming from a number of directions, increasingly on the Internet. Haldane’s calculation, its reception and his other interests in peppered moths are reviewed. An example of Internet comments attributing opinions to him, and their origin and background, are discussed.
New insights into cortico-basal-cerebellar connectome: clinical and physiological considerations
Authors: Quartarone Angelo , Cacciola Alberto , Milardi Demetrio , Ghilardi Maria Felice , Calamuneri Alessandro , Chillemi Gaetana , Anastasi Giuseppe , Rothwell John 
Published: October 2019

AbstractThe current model of the basal ganglia system based on the ‘direct’, ‘indirect’ and ‘hyperdirect’ pathways provides striking predictions about basal ganglia function that have been used to develop deep brain stimulation approaches for Parkinson’s disease and dystonia. The aim of this review is to challenge this scheme in light of new tract tracing information that has recently become available from the human brain using MRI-based tractography, thus providing a novel perspective on the basal ganglia system. We also explore the implications of additional direct pathways running from cortex to basal ganglia and between basal ganglia and cerebellum in the pathophysiology of movement disorders.
Overexpression of Sirtuin 1 protein in neurons prevents and reverses experimental diabetic neuropathy
Authors: Chandrasekaran Krish , Salimian Mohammad , Konduru Sruthi R , Choi Joungil , Kumar Pranith , Long Aaron , Klimova Nina , Ho Cheng-Ying , Kristian Tibor , Russell James W 
Published: October 2019

Abstract
In diabetic neuropathy, there is activation of axonal and sensory neuronal degeneration pathways leading to distal axonopathy. The nicotinamide-adenine dinucleotide (NAD+)-dependent deacetylase enzyme, Sirtuin 1 (SIRT1), can prevent activation of these pathways and promote axonal regeneration. In this study, we tested whether increased expression of SIRT1 protein in sensory neurons prevents and reverses experimental diabetic neuropathy induced by a high fat diet (HFD). We generated a transgenic mouse that is inducible and overexpresses SIRT1 protein in neurons (nSIRT1OE Tg). Higher levels of SIRT1 protein were localized to cortical and hippocampal neuronal nuclei in the brain and in nuclei and cytoplasm of small to medium sized neurons in dorsal root ganglia. Wild-type and nSIRT1OE Tg mice were fed with either control diet (6.2% fat) or a HFD (36% fat) for 2 months. HFD-fed wild-type mice developed neuropathy as determined by abnormal motor and sensory nerve conduction velocity, mechanical allodynia, and loss of intraepidermal nerve fibres. In contrast, nSIRT1OE prevented a HFD-induced neuropathy despite the animals remaining hyperglycaemic. To test if nSIRT1OE would reverse HFD-induced neuropathy, nSIRT1OE was activated after mice developed peripheral neuropathy on a HFD. Two months after nSIRT1OE, we observed reversal of neuropathy and an increase in intraepidermal nerve fibre. Cultured adult dorsal root ganglion neurons from nSIRT1OE mice, maintained at high (30 mM) total glucose, showed higher basal and maximal respiratory capacity when compared to adult dorsal root ganglion neurons from wild-type mice. In dorsal root ganglion protein extracts from nSIRT1OE mice, the NAD+-consuming enzyme PARP1 was deactivated and the major deacetylated protein was identified to be an E3 protein ligase, NEDD4-1, a protein required for axonal growth, regeneration and proteostasis in neurodegenerative diseases. Our results indicate that nSIRT1OE prevents and reverses neuropathy. Increased mitochondrial respiratory capacity and NEDD4 activation was associated with increased axonal growth driven by neuronal overexpression of SIRT1. Therapies that regulate NAD+ and thereby target sirtuins may be beneficial in human diabetic sensory polyneuropathy.
miR-203 is an independent molecular predictor of prognosis and treatment outcome in ovarian cancer: a multi-institutional study
Authors: Panoutsopoulou Konstantina , Avgeris Margaritis , Mavridis Konstantinos , Dreyer Tobias , Dorn Julia , Obermayr Eva , Reinthaller Alexander , Michaelidou Kleita , Mahner Sven , Vergote Ignace , Vanderstichele Adriaan , Braicu Ioana , Sehouli Jalid , Zeillinger Robert , Magdolen Viktor , Scorilas Andreas 
Published: October 2019

Abstract
Ovarian cancer (OC) accounts for the most gynecological cancer-related deaths in developed countries. Unfortunately, the lack of both evident early symptoms and effective asymptomatic population screening results in late diagnosis and inevitably poor prognosis. Hence, it is urgent to identify novel molecular markers to support personalized prognosis. In the present study, we have analyzed the clinical significance of miR-203 in OC using two institutionally independent cohorts. miR-203 levels were quantified in a screening (n = 125) and a validation cohort (n = 100, OVCAD multicenter study). Survival analysis was performed using progression and death as clinical endpoint events. Internal validation was conducted by bootstrap analysis, and decision curve analysis was used to evaluate the clinical benefit. Increased miR-203 levels in OC patients were correlated with unfavorable prognosis and higher risk for disease progression, independently of FIGO stage, tumor grade, residual tumor after surgery, chemotherapy response and age. The analysis of the institutionally independent validation cohort (OVCAD study) clearly confirmed the shorter survival outcome of the patients overexpressing miR-203. Additionally, integration of miR-203 levels with the established disease prognostic markers led to a superior stratification of OC patients that can ameliorate prognosis and benefit patient clinical management. In this regard, miR-203 expression constitutes a novel independent molecular marker to improve patients’ prognosis in OC.
α-Actinin-4 regulates cancer stem cell properties and chemoresistance in cervical cancer
Authors: Jung Jaeyeon , Kim Suhyun , An Hyoung-Tae , Ko Jesang 
Published: October 2019

AbstractCancer stem cells (CSCs) initiate tumors and possess the properties of self-renewal and differentiation. Since they are responsible for chemoresistance, CSCs are known to be a key factor in cancer recurrence. α-Actinin-4 (ACTN4) is an actin-binding protein that is involved in muscle differentiation and cancer metastasis. It promotes epithelial to mesenchymal transition and cell cycle progression via β-catenin stabilization in cervical cancer. In the present study, we investigated the role of ACTN4 in regulating cancer cell stemness and chemoresistance in cervical cancer. Results from the gene expression database analysis showed that ACTN4 mRNA expression was elevated in cancerous cervices when compared with normal cervices. Furthermore, ACTN4 knockdown suppressed sphere formation and CSC proliferation. It also decreased CSC size and CD44high/CD24low cell population. ACTN4-knockdown CSCs were sensitive to anticancer drugs, which was observed by down-regulation of the ATP-binding cassette family G2 involved in drug resistance. Finally, ACTN4-knockdown CSCs formed reduced tumors in vivo when compared with control CSCs. Overall, these findings suggest that ACTN4 regulates CSC properties and contributes to chemoresistance in cervical cancer.
Multielectrode Transcranial Electrical Stimulation of the Left and Right Prefrontal Cortices Differentially Impacts Verbal Working Memory Neural Circuitry
Authors: Koshy Sam M , Wiesman Alex I , Spooner Rachel K , Embury Christine , Rezich Michael T , Heinrichs-Graham Elizabeth , Wilson Tony W 
Published: October 2019

Abstract
Recent studies have examined the effects of conventional transcranial direct current stimulation (tDCS) on working memory (WM) performance, but this method has relatively low spatial precision and generally involves a reference electrode that complicates interpretation. Herein, we report a repeated-measures crossover study of 25 healthy adults who underwent multielectrode tDCS of the left dorsolateral prefrontal cortex (DLPFC), right DLPFC, or sham in 3 separate visits. Shortly after each stimulation session, participants performed a verbal WM (VWM) task during magnetoencephalography, and the resulting data were examined in the time–frequency domain and imaged using a beamformer. We found that after left DLPFC stimulation, participants exhibited stronger responses across a network of left-lateralized cortical areas, including the supramarginal gyrus, prefrontal cortex, inferior frontal gyrus, and cuneus, as well as the right hemispheric homologues of these regions. Importantly, these effects were specific to the alpha-band, which has been previously implicated in VWM processing. Although stimulation condition did not significantly affect performance, stepwise regression revealed a relationship between reaction time and response amplitude in the left precuneus and supramarginal gyrus. These findings suggest that multielectrode tDCS targeting the left DLPFC affects the neural dynamics underlying offline VWM processing, including utilization of a more extensive bilateral cortical network.
MIRKB: a myocardial infarction risk knowledge base
Authors: Zhan Chaoying , Shi Manhong , Wu Rongrong , He Hongxin , Liu Xingyun , Shen Bairong 
Published: October 2019

AbstractMyocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not completely understood. Many risk factors are reported important for the development of MI, including lifestyle factors, environmental factors, psychosocial factors, genetic factors, etc. Identifying individuals with an increased risk of MI is urgent and a major challenge for improving prevention. The MI risk knowledge base (MIRKB) is developed for facilitating MI research and prevention. The goal of MIRKB is to collect risk factors and models related to MI to increase the efficiency of systems biological level understanding of the disease. MIRKB contains 8436 entries collected from 4366 articles in PubMed before 5 July 2019 with 7902 entries for 1847 single factors, 195 entries for 157 combined factors and 339 entries for 174 risk models. The single factors are classified into the following five categories based on their characteristics: molecular factor (2356 entries, 649 factors), imaging (821 entries, 252 factors), physiological factor (1566 entries, 219 factors), clinical factor (2523 entries, 561 factors), environmental factor (46 entries, 26 factors), lifestyle factor (306 entries, 65 factors) and psychosocial factor (284 entries, 75 factors). MIRKB will be helpful to the future systems level unraveling of the complex mechanism of MI genesis and progression.
Prognostic factors related to postoperative survival in the newly classified clinical T4 lung cancer
Authors: Yamanashi Keiji , Menju Toshi , Hamaji Masatsugu , Tanaka Satona , Yutaka Yojiro , Yamada Yoshito , Nakajima Daisuke , Ohsumi Akihiro , Aoyama Akihiro , Sato Toshihiko , Chen-Yoshikawa Toyofumi Fengshi , Sonobe Makoto , Date Hiroshi 
Published: October 2019

Abstract

OBJECTIVES
T4 lung cancer has become a more heterogeneous group since the 8th edition of tumour, node, metastasis classification. The aim of this study was to identify predictive factors related to post-surgical survival in patients with clinical T4 non-small-cell lung cancer (NSCLC), based on the 8th edition of the classification.

METHODS
We retrospectively reviewed consecutive patients with clinical T4 NSCLC who underwent resection between January 2006 and December 2016, to identify factors associated with overall survival.

RESULTS
Ninety-three patients were identified. The criteria for clinical T4 disease included tumours larger than 7 cm (n = 54), great vessels or left atrial invasion (n = 22), mediastinal invasion (n = 11), vertebral invasion (n = 3), tracheal or carina invasion (n = 3), diaphragm invasion (n = 1) and ipsilateral different lobe pulmonary metastasis (n = 2). The postoperative nodal status was 0, 1, 2 and 3 in 59, 18, 15 and 1 patient, respectively. R0 resection was achieved in 80 patients, and the 30-day mortality was 0%. The median follow-up time was 37.6 months, and the 5-year overall survival rate was 56.3%. The multivariable analysis revealed that nodal status and R-status were significant prognostic factors for postoperative survival [hazard ratio (HR) 2.62, 95% confidence interval (CI) 1.20–5.72, P = 0.016 and HR 3.29, 95% CI 1.45–7.44, P = 0.004].

CONCLUSIONS
Surgery provided encouraging survival outcomes for clinical T4 NSCLC based on the 8th edition of classification. The nodal status and R-status were significant prognostic factors for postoperative survival.
The Many Faces of Emerging and Reemerging Infectious Disease
Authors: Lessler Justin , Orenstein Walter A 
Published: October 2019

Abstract
The emergence of disease threats can take many forms, from the adaptation of a traditionally zoonotic pathogen for efficient spread in humans, to the development of antibiotic resistance in well-known pathogens, to the creation of new niches for established disease through social and societal changes. In this commentary, the authors explore these various facets of disease emergence through the lens of the papers included in this issue of Epidemiologic Reviews. The authors explore multiple aspects of emergence and the ways in which emergent pathogens can be controlled with the limited tools available. In doing so, they put the papers in this issue in the context of the broader research agenda around understanding and combatting emergent pathogens.
European Union initiatives in child immunization— the need for child centricity, e-health and holistic delivery
Authors: Rigby Michael J , Chronaki Catherine E , Deshpande Shalmali S , Altorjai Peter , Brenner Maria , Blair Mitch E 
Published: October 2019

Abstract

Background
Low childhood immunization rates in Europe are causing concern and have triggered several EU initiatives. However, these are counter-factual as they make immunization a stand-alone issue and cut across best practice in integrated child health services. They also focus unduly on ‘anti-vax’ pressures, generalize ‘vaccine hesitancy’ and overlook practical difficulties and uncertainties encountered by parents in real world situations about presenting children for immunization. Meanwhile European expertize in child health electronic record systems and relevant standards are ignored despite their being a potentially sound foundation ripe for enhancement.

Methods
Situation and literature reviews, and cohesion of two European research projects, led to shared investigation. As a result, two cross-sectoral expert workshops were held to consider digital health standards for harmonizing integrated preventive child health including immunization, and the work of other stakeholders such as the World Health Organisation and the European Centre for Disease Control.

Results
Progress in child health information models and digital health standards was assessed, areas needing further standards development identified and desirable steps towards innovation in service delivery and record keeping agreed.

Conclusion
The European Commission, member states and child health stakeholders should take an integrated approach to child health with immunization as a component. Service delivery should be sensitive to parental concerns and challenges, and the way child- and family-centric data are recorded and used should be enhanced. Services should be enabled by the International Patient Summary and related electronic health record standards and linkages, and evaluated to assess most effective systems and practice.
Reflection waveform inversion based on full-band seismic data reconstruction for salt structure inversion
Authors: Chen Guoxin , Chen Shengchang , Yang Wencai 
Published: October 2019

SUMMARYSalt structures are high potential targets for oil and gas exploration. However, large-scale salt domes with irregular surfaces pose significant challenges for velocity model building. For full waveform inversion, in the absence of a high-fidelity initial model, the success of the inversion depends on low-frequency seismic data, which are scarce in the exploration data sets. This paper presents a new idea to solve the problem of salt structure velocity modelling. First, we propose an envelope-based full-band seismic data reconstruction algorithm. The smoothness of envelope is used to segment the events in seismic data, and the phase independence of envelope is used for the identification of the seismic event's arrival-time to obtain the apparent reflection sequences of the subsurface. Full-band seismic data are obtained by convolving the apparent reflection sequence with full-band source. Window averaging function and threshold strategy are used to ensure the accuracy of seismic event segmentation and the stability of the algorithm when dealing with noisy data. Then the multiscale reflection waveform inversion based on reconstructed data is proposed for salt structure velocity building. The numerical experiment results of the Sigbee2A model demonstrate the performance of the inversion algorithm in the case where the seismic data lack low-frequency components and contain noise. The limitations of the algorithm have also been analysed and studied.