bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facial Rejuvenation Using a Mixture of Calcium Hydroxylapatite Filler and Hyaluronic Acid Filler
Authors: Chang Jung Woo , Koo Won Young , Kim Eun-Kyung , Lee Sun Woo , Lee Jang Hyun 
Published: August 2019

Abstract
Calcium hydroxylapatite filler is a popular dermal filler, as it provides long-lasting results. However, it sometimes undergoes unexpected early volume loss, due to rapid gel absorption before neocollagenesis. To compensate for this phenomenon, hyaluronic acid filler was added to calcium hydroxylapatite filler for injection as a mixture. Twenty-five patients who scored 1 or 2 on the Merz 5-point scale for the nasolabial fold and jawline were injected with 3.0 mL of the mixture. The mixture was prepared with 1.0 mL of hyaluronic acid filler, 0.5 mL of lidocaine, and 1.5 mL of calcium hydroxylapatite filler. A visual analog scale (VAS) and the 5-point global satisfaction scale (GSS) were used for objective and subjective assessments. In a subset of patients, for histologic analysis, 0.1 mL of the mixture and 0.1 mL of only calcium hydroxylapatite filler were injected into the right and left postauricular areas, respectively. The histologic analysis was performed 6 months after implantation. The mean VAS and GSS scores for both sets of wrinkles were above “fair” at every follow-up, including at short-term and long-term periods. The skin biopsies from both postauricular areas from selected patients showed increased dermal collagen bundles without inflammation. The mixture of calcium hydroxylapatite filler and hyaluronic acid filler maintained constant volume with high satisfaction, as hyaluronic acid filler compensated for the unexpected early volume loss of calcium hydroxylapatite filler. This procedure can be applied safely, and it is also convenient, because no retouching procedure is needed.
Structural assembly of the human Miro1/2 GTPases based on the crystal structure of the N-terminal GTPase domain
Authors: Smith Kyle P. , Focia Pamela J. , Chakravarthy Srinivas , Landahl Eric C. , Klosowiak Julian L. , Rice Sarah E. , Freymann Douglas M. 
Published: August 2019

AbstractDysfunction in mitochondrial dynamics is believed to contribute to a host of neurological disorders and has recently been implicated in cancer metastasis. The outer mitochondrial membrane adapter protein Miro functions in the regulation of mitochondrial mobility and degradation, however, the structural basis for its roles in mitochondrial regulation remain unknown. Here, we report a 1.7Å crystal structure of N-terminal GTPase domain (nGTPase) of human Miro1 bound unexpectedly to GTP, thereby revealing a non-catalytic configuration of the putative GTPase active site. We identify two conserved surfaces of the nGTPase, the “SELFYY” and “ITIP” motifs, that are potentially positioned to mediate dimerization or interaction with binding partners. Additionally, we report small angle X-ray scattering (SAXS) data obtained from the intact soluble HsMiro1 and its paralog HsMiro2. Taken together, the data allow modeling of a crescent-shaped assembly of the full-length soluble domain of HsMiro1/2.PDB referenceCrystal structure of the human Miro1 N-terminal GTPase bound to GTP, 6D71
Comprehensive Annotations of Human Herpesvirus 6A and 6B Genomes Reveal Novel and Conserved Genomic Features
Authors: Finkel Yaara , Schmiedel Dominik , Tai-Schmiedel Julie , Nachshon Aharon , Schwartz Michal , Mandelboim Ofer , Stern-Ginossar Noam 
Published: August 2019

AbstractHuman herpesvirus 6 (HHV-6) A and B are highly ubiquitous betaherpesviruses, infecting the majority of the human population. Like other herpesviruses, they encompass large genomes and our understanding of their protein coding potential is far from complete. Here we employ ribosome profiling and systematic transcript analysis to experimentally define the HHV-6 translation products and to follow their temporal expression. We identify hundreds of new open reading frames (ORFs), including many upstream ORFs (uORFs) and internal ORFs (iORFs), generating a complete unbiased atlas of HHV-6 proteome. Furthermore, by integrating systematic data from the prototypic betaherpesvirus, human cytomegalovirus, we uncover numerous uORFs and iORFs that are conserved across betaherpesviruses and we show that uORFs are specifically enriched in late viral genes. Using our transcriptome measurements, we identified three highly abundant HHV-6 encoded long non-coding RNAs (lncRNAs), one of which generates a non-polyadenylated stable intron that appears to be a conserved feature of betaherpesviruses. Overall, our work reveals the complexity of HHV-6 genomes and highlights novel features that are conserved between betaherpesviruses, providing a rich resource for future functional studies.
Improving protein function prediction with synthetic feature samples created by generative adversarial networks
Authors: Wan Cen , Jones David T. 
Published: August 2019

AbstractProtein function prediction is a challenging but important task in bioinformatics. Many prediction methods have been developed, but are still limited by the bottleneck on training sample quantity. Therefore, it is valuable to develop a data augmentation method that can generate high-quality synthetic samples to further improve the accuracy of prediction methods. In this work, we propose a novel generative adversarial networks-based method, namely FFPred-GAN, to accurately learn the high-dimensional distributions of protein sequence-based biophysical features and also generate high-quality synthetic protein feature samples. The experimental results suggest that the synthetic protein feature samples are successful in improving the prediction accuracy for all three domains of the Gene Ontology through augmentation of the original training protein feature samples.
Synthesis and anti-corrosion performance of C21H25NO on corrosion of N80 steel in hydrochloric acid solution
Authors: Zhu Yanhua , Zhao Liqiang , Liu Pingli , Qu Xiao 
Published: August 2019

Purpose
In this work, a kind of Mannich base (C21H25NO) was synthesized with cinnamal aldehyde, acetophenone and diethylamine in a condensing reflux device based on the conventional method. Optimization of the inhibitor concentration was explored.

Design/methodology/approach
Spectral properties of this compound was investigated by FTIR, and its inhibition efficiency and mechanism on N80 steel in 20% hydrochloric acid solution were studied by weight loss measurement, electrochemical measurement (potentiodynamic polarization and electrochemical impedance spectroscopy) and surface analytical measurement (scanning electron microscope with energy dispersive spectrometer).

Findings
The results showed that the new inhibitor reduced the double-layer capacitance and increased the charge transfer resistance. The inhibition efficiency is 99.7% when the concentration of C21H25NO is 3%. The adsorption of C21H25NO on N80 steel surface in 20% HCl solution was found to be spontaneous and steady. Observed from the steel surface, an inhibition film was confirmed to be presented after adding inhibitor and successfully hindered the corrosive ions from reaching the bulk steel.

Originality/value
A new Mannich base (C21H25NO) was synthesized by cinnamal aldehyde, acetophenone and diethylamine for the corrosion prevention of N80 steel in 20% hydrochloric acid solution.
Using CFD and PIV to investigate rotating cage-related hydrodynamics for CO2 corrosion studies analyzing 2-, 4- and 8-coupons setups
Authors: Alvarado Yolitzin , Romero Rosenberg , García Juan Carlos , del Pozo Adrian , Zenit Roberto , Serna Sergio Alonso 
Published: August 2019

Purpose
The purpose of this study is to evaluate the corrosion in CO2 using Rotating cage (RC) and Computational fluid dynamics (CFD) software. RC experiments were carried out in a CO2 environment, to evaluate corrosion in a C-Mn Steel. CFD software was used to simulate RC flow conditions during the corrosion process, to evaluate wall shear stress.

Design/methodology/approach
The RC is used as a laboratory tool for studies of accelerated corrosion, according to standard ASTM G184-06. Steel corrosion was studied by means of the RC methodology. The hydrodynamics are solved numerically using CFD. Numerical calculations were performed on a 2D geometry of 8 coupons JG, for speeds of 460  and 230 rpm. The flow was analyzed with vector graphics and velocity profiles. The numerical calculations were validated with experimental measurements of the velocity field obtained with the technique of Particle Image Velocimetry (PIV).

Findings
Different turbulence models were used, in which CFD simulations were compared with data obtained from PIV. According to this comparison, the best turbulence model was determined.

Originality/value
It was found that experimental flow speeds have closer values with Spalart–Allmaras modeling than K-epsilon and K-kl-omega.
Teacher competence inventory
Authors: Ludwikowska Kamila 
Published: August 2019

Purpose
Teachers at the tertiary level play an essential role in the expansion of quality in higher education. The issue of competence and its development has particular importance in creating the new landscape of the twenty-first century. Therefore, the purpose of this paper is to develop validated inventory identifying future-oriented competences required for the teaching profession in the changing environment of higher education institutions (HEIs).

Design/methodology/approach
In the study, teacher competences and related teacher’s behavior were theoretically defined and underwent principal factor analysis. The survey was carried out among teachers, students and graduates of HEIs in India.

Findings
The analysis revealed future-oriented teacher competences resulting from the globalization process of the teaching profession. Testing the inventory indicated that there was a high Cronbach’s α reliability. Results show that the inventory enjoyed proper internal consistency for four dimensions as general teaching competences. The inventory with 66 items and four factors explained 47.279 percent of the total variance and indicated a strong factor model.

Practical implications
Teacher competence inventory (TCI) can be used to modernize study programs of teacher education and shift focus toward future-oriented competences required for the teaching profession in HEIs in India. Therefore, TCI could be essential to prepare teachers for the changing environment of teaching.

Originality/value
This study is an essential step in reorienting the process of teacher education toward professional development aimed at developing future-oriented competences in the teaching profession. It proposes to develop an instrument measuring teacher competences areas and related teacher behavior.
Self-protective strategies of parents with ADHD and their children as mediated by sensitivity – a multiple-case study
Authors: Syrjänen Milla , Hautamäki Airi , Pleshkova Natalia , Maliniemi Sinikka 
Published: August 2019

Purpose
The purpose of this paper is to explore the parental sensitivity and self-protective strategies of parents with attention deficit hyperactivity disorder (ADHD) and those of their children.

Design/methodology/approach
Six parents with ADHD and their under 3-years-old children participated. One parent took part with her both children. The data included seven parent-child dyads. The parents were interviewed with the modified Adult Attachment Interview. Parental sensitivity was assessed using the CARE-Index. The self-protective strategies of the children were assessed with The Strange Situation Procedure or the Preschool Assessment of Attachment.

Findings
The study showed a variety of the self-protective strategies of parents with ADHD as well as those of their children. Three subgroups were formed on the basis of risk as indicated by Crittenden’s gradient of transformation of information. Parents displayed complex self-protective strategies as well as unresolved traumas, which impaired their sensitivity and ability to engage in mutual regulation of arousal and emotion. The parents’ needs of self-protection compromised their ability to protect and comfort their child that is their sensitivity. The children’s protective strategies matched those of their parents in regard to complexity as mediated by parental sensitivity.

Originality/value
This multiple-case study demonstrates new ideas to be tested with quantitative methods in larger samples. There are no previous studies which have examined both the attachment strategies and sensitivity of parents with ADHD connecting these with the evolving attachment strategies of their children.
Increasing the effectiveness of tyrosine kinase inhibitor (TKI) in combination with a statin in reducing liver fibrosis
Authors: Mohammadalipour Adel , Hashemnia Mohammad , Goudarzi Farjam , Ravan Alireza Pouyandeh 
Published: August 2019

AbstractIt has been shown that both nilotinib as a tyrosine kinase inhibitor, and atorvastatin as a rho‐kinase inhibitor, have antifibrotic effects. Therefore, considering the relationship between these two pathways, this study aimed to investigate the effects of their co‐treatment against hepatic stellate cells (HSCs) activation and liver fibrosis. For this purpose, the activation of HSCs coincided with these therapies. Also, liver fibrosis by carbon tetrachloride (CCl4) was induced in male Wistar rats and treated simultaneously with these compounds. The expression of alpha‐smooth muscle actin (α‐SMA), connective tissue growth factor (CTGF), Ras homolog gene family, and member A (RhoA)/Rho‐associated protein kinase (ROCK) in HSCs were measured. The expression of transforming growth factor beta‐1 (TGF‐β1), its receptor (TβRII), CTGF, and platelets derived growth factor (PDGF), in the livers, were also investigated, all by real‐time PCR and western blot analysis. Also, histopathologic and immunohistochemical evaluations were performed to evaluate changes in liver fibrosis during treatment. The results indicated the down‐regulation of RhoA/ROCK, CTGF, and α‐SMA, and inhibition of the HSCs activation toward myofibroblasts. The results also showed that the combined use of atorvastatin and nilotinib has significantly higher inhibitory effects. The antifibrotic effects of atorvastatin and nilotinib co‐administration were also observed by histopathologic and immunohistochemical observations, and inhibiting the expression of TGF‐β1, TβRII, CTGF, and PDGF. Taken together, this study revealed that co‐administration of nilotinib–atorvastatin has novel antifibrotic effects, by inhibiting RhoA/ROCK, and CTGF pathway. Therefore, the importance of the common pathway of RhoA/ROCK and CTGF, in reducing fibrosis may almost be concluded.
Sustainable Agriculture – Life beyond Subsidies: Lessons from New Zealand
Authors: Saunders Caroline 
Published: August 2019

AbstractThis address explores the importance for agricultural sustainability of different types of capital assets, especially knowledge capital, drawing on recent research in New Zealand that has aimed to expand the contribution of the primary sector to sustainable wellbeing. I begin with an overview of the theory on what constitutes sustainability and wellbeing, focusing on connections between wellbeing, capabilities and different types of capital stocks, and highlighting the importance of knowledge capital for wellbeing. Recent trends in New Zealand and United Kingdom agriculture provide the applied context for analysis of some key knowledge issues facing agriculture, framed by the capability theory of the firm following David Teece. The paper finishes with a brief conclusion on the implications for theUK.
Bioactivity evaluation of calcium silicate‐based endodontic materials used for apexification
Authors: Ürkmez Elif Şeyda , Pınar Erdem Arzu 
Published: August 2019

AbstractThis study aims to compare the bioactivity of Biodentine, ProRoot MTA and NeoMTA Plus with regard to their element uptake (Ca, Si and Ca/P) by root canal dentine in a simulated apex (n = 30 each) and evaluate the correlation between the dentine fracture resistance (n = 30 each) and interfacial layer thickness. Specimens immersed in a corrected simulated body solution (c‐SBF) for 1, 30 and 90 days were used. In all test materials, the Ca and Si concentrations in the root dentine were found to be significantly higher, whereas the Ca/P and Si concentrations increased over time (P < 0.05). The dentine fracture resistance showed a difference at only day 30. The dentine fracture resistance of Biodentine and ProRoot MTA was positively correlated with the Si and Ca/P values, and the mean interfacial layer thickness of all specimens. A high biomineralisation capacity of ProRoot MTA and Biodentine, and their positive effects on the dentine fracture resistance during the first 30 days suggest that they may present more advantages than NeoMTA Plus in apexification treatment.
Genetic model of MS severity predicts future accumulation of disability
Authors: Jackson Kayla C. , Sun Katherine , Barbour Christopher , Hernandez Dena , Kosa Peter , Tanigawa Makoto , Weideman Ann Marie , Bielekova Bibiana 
Published: August 2019

AbstractNo genetic modifiers of multiple sclerosis (MS) severity have been independently validated, leading to a lack of insight into genetic determinants of the rate of disability progression. We investigated genetic modifiers of MS severity in prospectively acquired training (N = 205) and validation (N = 94) cohorts, using the following advances: (1) We focused on 113 genetic variants previously identified as related to MS severity; (2) We used a novel, sensitive outcome: MS Disease Severity Scale (MS‐DSS); (3) Instead of validating individual alleles, we used a machine learning technique (random forest) that captures linear and complex nonlinear effects between alleles to derive a single Genetic Model of MS Severity (GeM‐MSS). The GeM‐MSS consists of 19 variants located in vicinity of 12 genes implicated in regulating cytotoxicity of immune cells, complement activation, neuronal functions, and fibrosis. GeM‐MSS correlates with MS‐DSS (r = 0.214; p = 0.043) in a validation cohort that was not used in the modeling steps. The recognized biology identifies novel therapeutic targets for inhibiting MS disability progression.
Using microarray analysis to identify genes and pathways that regulate fetal hemoglobin levels
Authors: Jia Siyuan , Jia Wenguang , Yu Shanjuan , Hu Yanling , He Yunyan 
Published: August 2019

AbstractIncreased levels of fetal hemoglobin (HbF: α2γ2) can ameliorate the clinical severity of the β‐hemoglobinopathies. Microarray analysis represents a powerful approach to identify novel genetic factors regulating the γ‐globin gene. Gene expression profiling was previously performed on 14 individuals with high or normal HbF levels to identify the genetic factors that control γ‐globin gene expression. To obtain more accurate and reliable results, our results were combined with public microarray dataset GSE22109 deposited in the Gene Expression Omnibus database. Annotation of case versus control samples was taken directly from the microarray documentation. The differentially expressed genes (DEGs) were obtained and were deeply analyzed by bioinformatics methods. Combined with our own chip expression data, potential genes HBE1, TFRC, and CSF2 were selected out for subsequent qRT‐PCR validation. A total of 184 DEGs were identified from GSE22109 and the protein–protein interaction network was constructed. Gene set enrichment analysis showed that the hematopoietic cell lineage pathway overlaps in the two datasets. HBE1, CSF2, and TFRC were confirmed by qRT‐PCR. Our results suggest novel candidate genes and pathways associated with the γ‐globin gene expression.
Unravelling perceptions of Eurasian beaver reintroduction in Great Britain
Authors: Auster Roger Edward , Puttock Alan , Brazier Richard 
Published: August 2019

International Union for the Conservation of Nature (IUCN) guidelines state that anticipated impacts must be considered in wildlife reintroduction, including the impacts on humans. Further, since reintroduction projects can be halted by resulting human–wildlife conflicts or human–human conflicts about wildlife, the perceptions of stakeholders and publics are of great importance. Eurasian beaver (Castor fiber) reintroduction is being debated in Great Britain at a devolved level. A decision has already been taken in Scotland to allow beavers already present to remain, while a number of reintroduction trials are taking place in England (both fenced and unfenced). There are also proposals for a reintroduction trial in Wales. We use a sub‐set of results from a nationwide survey (n = 2,759) to identify four social areas that we propose decision‐makers should consider in the debate: key stakeholder perceptions; engagement methods; attitudes towards legal protection and management responsibilities; and support for management techniques. In this paper, we investigate the complex social dimensions of wildlife reintroduction and we argue that emphasis should be placed on the need to recognise societal perceptions of potential management solutions, beyond perceptions of reintroduction itself. This is paramount in order to develop a management strategy that is more likely to garner social support and reduce potential future conflicts, should beaver reintroduction proceed.
Adaptive transfer learning in deep neural networks: Wind power prediction using knowledge transfer from region to region and between different task domains
Authors: Qureshi Aqsa Saeed , Khan Asifullah 
Published: August 2019

AbstractTransfer learning (TL) in deep neural networks is gaining importance because, in most of the applications, the labeling of data is costly and time consuming. Additionally, TL also provides an effective weight initialization strategy for deep neural networks. This paper introduces the idea of adaptive TL in deep neural networks (ATL‐DNN) for wind power prediction. Specifically, we show in case of wind power prediction that adaptive TL of the deep neural networks system can be adaptively modified as regards training on a different wind farm is concerned. The proposed ATL‐DNN technique is tested for short‐term wind power prediction, where continuously arriving information has to be exploited. Adaptive TL not only helps in providing good weight initialization, but also in utilizing the incoming data for effective learning. Additionally, the proposed ATL‐DNN technique is shown to transfer knowledge between different task domains (wind power to wind speed prediction) and from one region to another region. The simulation results show that the proposed ATL‐DNN technique achieves average values of 0.0637, 0.0986, and 0.0984 for the mean absolute error, root mean squared error, and standard deviation error, respectively.