bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compatibility Study of Danggui Buxue Tang on Chemical Ingredients, Angiogenesis and Endothelial Function
Authors: Lin Ping-Lan , Li Zhi-Cheng , Xie Rui-Fang , Wang You-Hua , Zhou Xin 
Published: March 2017

AbstractDanggui Buxue Tang (DBT) is a classic Chinese herbal formula which consists of Astragali mongholici Radix and Angelica sinensis Radix (ASR). For chemical ingredients, HPLC were performed. Results showed compared with single herbs, DBT decoction could promote the dissolution of ingredients such as ferulic acid and calycosin. Furthermore, when ratio of AMR to ASR was 5 to 1, synthetic score was the best. For angiogenesis, normal and injured zebrafish model were applied. Results showed DBT and its ingredients had angiogenesis effects on Sub Intestinal vessels (SIVs) of normal zebrafish. Meanwhile, DBT and its single herbs could also recover Inter-Segmental Vessels (ISVs) injured by VRI. Angiogenesis effects of DBT on ISVs were better than single herbs. AMR extract, Total Saponins of AMR, Polysaccharide of ASR, ferulic acid, calycosin and calycosin-7-glucoside could be effective ingredients for angiogenisis. For endothelium functions, Lysoph-Osphatidyl choline was used to damage rat endothelial function of thoracic aorta. The results showed DBT and its single herbs could improve endothelial dysfunctions in dose-dependence. Both ferulic acid and calycosin-7-glucoside could also improve endothelium dysfunction in dose dependence. Therefore, compatibility of DBT was reasonable. Compared with single herbs, DBT could promote dissolution of effective ingredients, enhance angiogenesis and relieve endothelial dysfunction.
Hybrid Core-Shell (HyCoS) Nanoparticles produced by Complex Coacervation for Multimodal Applications
Authors: Vecchione D. , Grimaldi A. M. , Forte E. , Bevilacqua Paolo , Netti P. A. , Torino E. 
Published: March 2017

AbstractMultimodal imaging probes can provide diagnostic information combining different imaging modalities. Nanoparticles (NPs) can contain two or more imaging tracers that allow several diagnostic techniques to be used simultaneously. In this work, a complex coacervation process to produce core-shell completely biocompatible polymeric nanoparticles (HyCoS) for multimodal imaging applications is described. Innovations on the traditional coacervation process are found in the control of the reaction temperature, allowing a speeding up of the reaction itself, and the production of a double-crosslinked system to improve the stability of the nanostructures in the presence of a clinically relevant contrast agent for MRI (Gd-DTPA). Through the control of the crosslinking behavior, an increase up to 6 times of the relaxometric properties of the Gd-DTPA is achieved. Furthermore, HyCoS can be loaded with a high amount of dye such as ATTO 633 or conjugated with a model dye such as FITC for in vivo optical imaging. The results show stable core-shell polymeric nanoparticles that can be used both for MRI and for optical applications allowing detection free from harmful radiation. Additionally, preliminary results about the possibility to trigger the release of a drug through a pH effect are reported.
Characterisation of mental health conditions in social media using Informed Deep Learning
Authors: Gkotsis George , Oellrich Anika , Velupillai Sumithra , Liakata Maria , Hubbard Tim J. P. , Dobson Richard J. B. , Dutta Rina 
Published: March 2017

AbstractThe number of people affected by mental illness is on the increase and with it the burden on health and social care use, as well as the loss of both productivity and quality-adjusted life-years. Natural language processing of electronic health records is increasingly used to study mental health conditions and risk behaviours on a large scale. However, narrative notes written by clinicians do not capture first-hand the patients’ own experiences, and only record cross-sectional, professional impressions at the point of care. Social media platforms have become a source of ‘in the moment’ daily exchange, with topics including well-being and mental health. In this study, we analysed posts from the social media platform Reddit and developed classifiers to recognise and classify posts related to mental illness according to 11 disorder themes. Using a neural network and deep learning approach, we could automatically recognise mental illness-related posts in our balenced dataset with an accuracy of 91.08% and select the correct theme with a weighted average accuracy of 71.37%. We believe that these results are a first step in developing methods to characterise large amounts of user-generated content that could support content curation and targeted interventions.
Coupled gyration modes in one-dimensional skyrmion arrays in thin-film nanostrips as new type of information carrier
Authors: Kim Junhoe , Yang Jaehak , Cho Young-Jun , Kim Bosung , Kim Sang-Koog 
Published: March 2017

AbstractWe report on a micromagnetic numerical simulation study of dynamic coupling between neighboring skyrmions periodically arranged in narrow-width nanostrips. We explored the coupled gyration modes and their characteristic dispersions in terms of the interdistance between the neighboring skyrmions. The application of perpendicular magnetic fields allows for the control and modification of the dispersion of the coupled gyration modes. The coupled gyration modes of individual skyrmions might provide a new type of information carrier in narrow-width straight and curved nanostrips, as driven by magnetic interactions in such continuous thin films.
TOX and ADIPOQ Gene Polymorphisms Are Associated with Antipsychotic-Induced Weight Gain in Han Chinese
Authors: Li Shen , Xu Chengai , Tian Yuan , Wang Xueshi , Jiang Rui , Zhang Miaomiao , Wang Lili , Yang Guifu , Gao Ying , Song Chenyu , He Yukun , Zhang Ying , Li Jie , Li Wei-Dong 
Published: March 2017

AbstractTo find the genetic markers related to the antipsychotic-induced weight gain (AIWG), we analyzed associations among candidate gene single-nucleotide polymorphisms (SNPs) and quantitative traits of weight changes and lipid profiles in a Chinese Han population. A total of 339 schizophrenic patients, including 86 first-episode patients (FEPs), meeting the entry criteria were collected. All patients received atypical antipsychotic drug monotherapy and hospitalization and were followed for 12 weeks. Forty-three SNPs in 23 candidate genes were calculated for quantitative genetic association with AIWG, performed by PLINK. The TOX gene SNP rs11777927 (P = 0.009) and the ADIPOQ gene SNP rs182052 (P = 0.019) were associated with AIWG (in body mass index, BMI). In addition, the BDNF SNP rs6265 (P = 0.002), BDAF SNP rs11030104 SNP (P = 0.001), and ADIPOQ SNPs rs822396 (P = 0.003) were significantly associated with the change of waist-to-hip ratio (WHR) induced by atypical antipsychotics. These results were still significant after age and gender adjustments. These findings provide preliminary evidence supporting the role of TOX, ADIPOQ and BDNF in weight and WHR gain induced by atypical antipsychotics.
Probing Medin Monomer Structure and its Amyloid Nucleation Using 13C-Direct Detection NMR in Combination with Structural Bioinformatics
Authors: Davies Hannah A. , Rigden Daniel J. , Phelan Marie M. , Madine Jillian 
Published: March 2017

AbstractAortic medial amyloid is the most prevalent amyloid found to date, but remarkably little is known about it. It is characterised by aberrant deposition of a 5.4 kDa protein called medin within the medial layer of large arteries. Here we employ a combined approach of ab initio protein modelling and 13C-direct detection NMR to generate a model for soluble monomeric medin comprising a stable core of three β-strands and shorter more labile strands at the termini. Molecular dynamics simulations suggested that detachment of the short, C-terminal β-strand from the soluble fold exposes key amyloidogenic regions as a potential site of nucleation enabling dimerisation and subsequent fibril formation. This mechanism resembles models proposed for several other amyloidogenic proteins suggesting that despite variations in sequence and protomer structure these proteins may share a common pathway for amyloid nucleation and subsequent protofibril and fibril formation.
Maternal, Labor, Delivery, and Perinatal Outcomes Associated with Placental Abruption: A Systematic Review
Authors: Grantz Katherine , Shenassa Edmond , Downes Katheryne 
Published: March 2017

Objective Risk factors for placental abruption have changed, but there has not been an updated systematic review investigating outcomes.
Methods We searched PubMed, EMBASE, Web of Science, SCOPUS, and CINAHL for publications from January 1, 2005 through December 31, 2016. We reviewed English-language publications reporting estimated incidence and/or risk factors for maternal, labor, delivery, and perinatal outcomes associated with abruption. We excluded case studies, conference abstracts, and studies that lacked a referent/comparison group or did not clearly characterize placental abruption.
Results A total of 123 studies were included. Abruption was associated with elevated risk of cesarean delivery, postpartum hemorrhage and transfusion, preterm birth, intrauterine growth restriction or low birth weight, perinatal mortality, and cerebral palsy. Additional maternal outcomes included relaparotomy, hysterectomy, sepsis, amniotic fluid embolism, venous thromboembolism, acute kidney injury, and maternal intensive care unit admission. Additional perinatal outcomes included acidosis, encephalopathy, severe respiratory disorders, necrotizing enterocolitis, acute kidney injury, need for resuscitation, chronic lung disease, infant death, and epilepsy.
Conclusion Few studies examined outcomes beyond the initial birth period, but there is evidence that both mother and child are at risk of additional adverse outcomes. There was also considerable variation in, or absence of, the reporting of abruption definitions.
Using a State Birth Registry as a Quality Improvement Tool
Authors: Kaplan Heather , Friar Kelly , Fuller Sandra , Ford Susan , White Beth , Besl John , Paulson John , Marcotte Michael , Krew Michael , Bailit Jennifer , Iams Jay , Lannon Carole 
Published: March 2017

Background Birth registry data are universally collected, generating large administrative datasets. However, these data are typically not used for quality improvement (QI) initiatives in perinatal medicine because the quality and timeliness of the information is uncertain.
Objective We sought to identify and address causes of inaccuracy in recording birth registry information so that birth registry data could support statewide obstetrical quality initiatives in Ohio.
Study Design The Ohio Perinatal Quality Collaborative and the Ohio Department of Health Vital Statistics used QI techniques in 15 medium-sized maternity hospitals to identify and remove systemic sources of inaccuracy in birth registry data. The primary outcome was the rate of scheduled deliveries without medical indication between 370/7 and 386/7 weeks at participating hospitals from birth registry data.
Results Inaccurate birth registry data most commonly resulted from limited communication between clinical and medical record staff. The rate of scheduled births between 370/7 and 386/7 weeks' gestation without a documented medical indication as recorded in the birth registry declined by 35%.
Conclusion A QI initiative aimed at increasing the accuracy of birth registry information demonstrated the utility of these data for surveillance of perinatal outcomes and has led to ongoing efforts to support birth registrars in submitting accurate data.
Characterizing Literacy and Cognitive Function during Pregnancy and Postpartum
Authors: Kamel Leslie , Quader Zara , Rajan Priya , Taylor Shaneah , O'Conor Rachel , Wolf Michael , Simon Melissa , Yee Lynn 
Published: March 2017

Objective The objective of this study was to characterize health literacy and cognitive function in a diverse cohort of pregnant women.
Methods Pregnant and postpartum women underwent in-depth assessments of health literacy/numeracy and the cognitive domains of verbal ability, working memory, long-term memory, processing speed, and inductive reasoning. Differences by demographic characteristics and gestational age were assessed using chi-square tests and multivariable logistic regression.
Results In this cohort of pregnant (N = 77) or postpartum (N = 24) women, 41.6% had limited health literacy/numeracy. Women were more likely to score in the lowest quartile for literacy and verbal ability if they were less educated, younger, nonwhite or had Medicaid. These factors were associated with low scores for long-term memory, processing speed, and inductive reasoning. Although there were no differences in literacy or cognitive function by parity or gestational age, postpartum women were more likely to score in the lowest quartile for processing speed (adjusted odds ratio [aOR]: 3.79, 95% confidence interval [CI]: 1.32–10.93) and inductive reasoning (aOR: 4.07, 95% CI: 1.21–13.70).
Conclusion Although postpartum status was associated with reduced inductive reasoning and processing speed, there were no differences in cognitive function across pregnancy.
Practice Implications Postpartum maternal learning may require enhanced support. In addition, cognitive skills and health literacy may be a mediator of perinatal outcomes inequities.
Comparison of the diagnostic ability of blue laser imaging magnification versus pit pattern analysis for colorectal polyps
Authors: Nakano Arihiro , Hirooka Yoshiki , Yamamura Takeshi , Watanabe Osamu , Nakamura Masanao , Funasaka Kohei , Ohno Eizaburo , Kawashima Hiroki , Miyahara Ryoji , Goto Hidemi 
Published: March 2017

Abstract
Background and study aims There have been few evaluations of the diagnostic ability of new narrow band light observation blue laser imaging (BLI). The present prospective study compared the diagnostic ability of BLI magnification and pit pattern analysis for colorectal polyps.
Patients and methods We collected lesions prospectively, and the analysis of images was made by two endoscopists, retrospectively. A total of 799 colorectal polyps were examined by BLI magnification and pit pattern analysis at Nagoya University Hospital. The Hiroshima narrow-band imaging classification was used for BLI. Differentiation of neoplastic from non-neoplastic lesions and diagnosis of deeply invasive submucosal cancer (dSM) were compared between BLI magnification and pit pattern analysis. Type C2 in the Hiroshima classification was evaluated separately, because application of this category as an index of the depth of cancer invasion was considered difficult.
Results We analyzed 748 colorectal polyps, excluding 51 polyps that were inflammatory polyps, sessile serrated adenoma/polyps, serrated adenomas, advanced colorectal cancers, or other lesions. The accuracy of differential diagnosis between neoplastic and non-neoplastic lesions was 98.4 % using BLI magnification and 98.7 % with pit pattern analysis. In addition, the diagnostic accuracy of BLI magnification and pit pattern analysis for dSM for cancer was 89.5 % and 92.1 %, respectively. When type C2 lesions were excluded, the diagnostic accuracy of BLI for dSM was 95.9 %. The 18 type C2 lesions comprised 1 adenoma, 9 intramucosal or slightly invasive submucosal cancers, and 8 dSM. Pit pattern analysis allowed accurate diagnosis of the depth of invasion in 13 lesions (72.2 %).
Conclusions Most colorectal polyps could be diagnosed accurately by BLI magnification without pit pattern analysis, but we should add pit pattern analysis for type C2 lesions in the Hiroshima classification.
Perceptual integration without conscious access
Authors: Fahrenfort Johannes J. , van Leeuwen Jonathan , Olivers Christian N. L. , Hogendoorn Hinze 
Published: March 2017

Significance
Our brain constantly selects salient and/or goal-relevant objects from the visual environment, so that it can operate on neural representations of these objects, but what is the fate of objects that are not selected? Are these discarded so that the brain only has an impoverished nonperceptual representation of them, or does the brain construct perceptually rich representations, even when objects are not consciously accessed by our cognitive system? Here, we answer that question by manipulating the information that enters into awareness, while simultaneously measuring cortical activity using EEG. We show that objects that do not enter consciousness can nevertheless have a neural signature that is indistinguishable from perceptually rich representations that occur for objects that do enter into conscious awareness.
Progression of type 1 diabetes from the prediabetic stage is controlled by interferon-α signaling
Authors: Marro Brett S. , Ware Brian C. , Zak Jaroslav , de la Torre Juan Carlos , Rosen Hugh , Oldstone Michael B. A. 
Published: March 2017

Significance
Type 1 diabetes (T1D) is an increasing medical health problem caused by autoimmune T cells killing insulin-producing β cells in the islets of Langerhans. When the majority of β cells are destroyed, unless exogenous insulin is administered, ketoacidosis and death follow. However, providing exogenous insulin does not prevent the resultant complications of stroke, heart disease, visual impairment, or faulty wound healing, indicating the need to preserve β cells in the prediabetic stage to insure endogenous insulin production. We show that blockage of IFN-α signaling prior to clinical T1D disease by antibody or a sphingosine-1 receptor agonist prevents autoaggressive T cells from entering the islets and killing β cells. The result is aborting T1D by acting at the prediabetic stage.
Spatial and Temporal Consumption Dynamics of Trout in Catch‐and‐Release Areas in Arkansas Tailwaters
Authors: Flinders Jon M. , Magoulick Daniel D. 
Published: March 2017

AbstractRestrictive angling regulations in tailwater trout fisheries may be unsuccessful if food availability limits energy for fish to grow. We examined spatial and temporal variation in energy intake and growth in populations of Brown Trout Salmo trutta and Rainbow Trout Oncorhynchus mykiss within three catch‐and‐release (C‐R) areas in Arkansas tailwaters to evaluate food availability compared with consumption. Based on bioenergetic simulations, Rainbow Trout fed at submaintenance levels in both size‐classes (≤400 mm TL, >400 mm TL) throughout most seasons. A particular bottleneck in food availability occurred in the winter for Rainbow Trout when the daily ration was substantially below the minimum required for maintenance, despite reduced metabolic costs associated with lower water temperatures. Rainbow Trout growth rates followed a similar pattern to consumption with negative growth rates during the winter periods. All three size‐classes (<250 mm TL, 250–400 mm TL, >400 mm TL) of Brown Trout experienced high growth rates and limited temporal bottlenecks in food availability. We observed higher mean densities for Rainbow Trout (47–342 fish/ha) than for Brown Trout (3–84 fish/ha) in all C‐R areas. Lower densities of Brown Trout coupled with an ontogenetic shift towards piscivory may have allowed for higher growth rates and sufficient consumption rates to meet energetic demands. Brown Trout at current densities were more effective in maintaining adequate growth rates and larger sizes in C‐R areas than were Rainbow Trout. Bioenergetic simulations suggest that reducing stocking levels of Rainbow Trout in the tailwaters may be necessary in order to achieve increased catch rates of larger trout in the C‐R areas.Received August 31, 2016; accepted January 9, 2017 Published online March 21, 2017
How far does neoliberalism go in Egypt? Gender, citizenship and the making of the ‘rural’ woman
Authors: Malak Karim , Salem Sara 
Published: March 2017

ABSTRACT
This paper focuses on civil society in Egypt as a site in which the ‘Egyptian rural woman’ is made by looking at processes of microfinance which often ‘fail’ to realise their stated goals of ‘empowerment’, ‘poverty alleviation’ or ‘social mobility’. Using ethnographic material from a microfinance programme in the Egyptian governorate of al-Minya, such programmes are problematised beyond their stated goals. Instead, such initiatives put in place an infrastructure that links micro-borrowers to the market. Thus, what it means to be a ‘liberated’ woman in the Egyptian context is built on access, participation in and creation of ‘the market’.
HiC-spector: a matrix library for spectral and reproducibility analysis of Hi-C contact maps
Authors: Yan Koon-Kiu , Yardımcı Galip Gürkan , Yan Chengfei , Noble William S , Gerstein Mark 
Published: March 2017

Abstract

Summary
Genome-wide proximity ligation based assays like Hi-C have opened a window to the 3D organization of the genome. In so doing, they present data structures that are different from conventional 1D signal tracks. To exploit the 2D nature of Hi-C contact maps, matrix techniques like spectral analysis are particularly useful. Here, we present HiC-spector, a collection of matrix-related functions for analyzing Hi-C contact maps. In particular, we introduce a novel reproducibility metric for quantifying the similarity between contact maps based on spectral decomposition. The metric successfully separates contact maps mapped from Hi-C data coming from biological replicates, pseudo-replicates and different cell types.

Availability and Implementation
Source code in Julia and Python, and detailed documentation is available at https://github.com/gersteinlab/HiC-spector.

Supplementary information
Supplementary data are available at Bioinformatics online.
IcyTree: rapid browser-based visualization for phylogenetic trees and networks
Authors: Vaughan Timothy G 
Published: March 2017

Abstract

Summary
IcyTree is an easy-to-use application which can be used to visualize a wide variety of phylogenetic trees and networks. While numerous phylogenetic tree viewers exist already, IcyTree distinguishes itself by being a purely online tool, having a responsive user interface, supporting phylogenetic networks (ancestral recombination graphs in particular), and efficiently drawing trees that include information such as ancestral locations or trait values. IcyTree also provides intuitive panning and zooming utilities that make exploring large phylogenetic trees of many thousands of taxa feasible.

Availability and Implementation
IcyTree is a web application and can be accessed directly at http://tgvaughan.github.com/icytree. Currently supported web browsers include Mozilla Firefox and Google Chrome. IcyTree is written entirely in client-side JavaScript (no plugin required) and, once loaded, does not require network access to run. IcyTree is free software, and the source code is made available at http://github.com/tgvaughan/icytree under version 3 of the GNU General Public License.