bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trend analysis of co-authorship network in Library Hi Tech
Authors: Cheng Fei-Fei , Huang Yu-Wen , Tsaih Der-Chian , Wu Chin-Shan 
Published: August 2018

Purpose
The purpose of this paper is to examine the evolution of collaboration among researchers in Library Hi Tech based on the co-authorship network analysis.

Design/methodology/approach
The Library Hi Tech publications were retrieved from Web of Science database between 2006 and 2017. Social network analysis based on co-authorship was analyzed by using BibExcel software and a visual knowledge map was generated by Pajek. Three important social capital indicators: degree centrality, closeness centrality and betweenness centrality were calculated to indicate the co-authorship. Cohesive subgroup analysis which includes components and k-core was then applied to show the connectivity of co-authorship network of Library Hi Tech.

Findings
The results indicated that around 42 percent of the articles were written by single author, while an increasing trend of multi-authored articles suggesting the collaboration among researchers in librarian research field becomes popular. Furthermore, the social network analysis identified authorship network with three core authors – Markey, K., Fourie, I. and Li, X. Finally, six core subgroups each included six or seven tightly connected researchers were also identified.

Originality/value
This study contributed to the existing literature by revealing the co-authorship network in librarian research field. Key researchers in the major subgroup were identified. This is one of the limited studies that describe the collaboration network among authors from different perspectives showing a more comprehensive co-authorship network.
Social media users’ share intention and subjective well-being
Authors: Ma Liang , Zhang Xin , Yan Ding Xiao 
Published: August 2018

Purpose
The rise of social media has gained increasing attention in recent years; however, few studies have focused on social media users’ specific behavior and subjective well-being. To fill this research gap, the purpose of this paper is to develop an integrated model to investigate factors that affect social media user’s share intention and the relationship between user’s share intention and subjective well-being.

Design/methodology/approach
Structural equation model is used in this study. A field survey with 398 WeChat users is conducted to test the research model and hypotheses.

Findings
The empirical results show that: utilitarian value, hedonic value, user satisfaction and information source credibility are important factors affecting users’ share intention; users’ share intention positively affects user’s subjective well-being; moderating effects show that relative significance positively moderates the relationship between utilitarian value and users’ share intention; and users’ demographic characteristics differences actually exist in users’ share intention.

Originality/value
First, the authors clear that factors affect social media users’ share intention from the perspective of customer-perceived value. The results deepen our understanding about the factors that affect WeChat users’ share intention. Second, the authors focus on the effect of users’ specific behavior on users’ subjective well-being and found that users’ share intention is one of the important aspects that affect user’s subjective well-being. More importantly, the authors tested users’ characteristic differences in social media users’ share intention, which have previously received limited attention.
Challenges to open peer review
Authors: Teixeira da Silva Jaime A. 
Published: August 2018

PurposeThe purpose of this paper is to assess what the challenges to open peer review (OPR) are, relative to traditional peer review (TPR).Design/methodology/approachBy examining select issues within peer review, more broadly, and challenges within TPR, the effectiveness of OPR is questioned.FindingsAlthough OPR brings an aspect of transparency, by partially eliminating biases, fear of reprisals and of professional blow-back, either by authors who may be criticized or by competitors, limits the expansion of this peer review model, or its adoption as an industry-wide standard.Originality/valueOpen Science 2.0 boasts of greater openness and transparency and OPR is touted as one tool to achieve this. However, that potential is limited. This limitation needs to be recognized.
Does social capital constrain firms’ tax avoidance?
Authors: Chircop Justin , Fabrizi Michele , Ipino Elisabetta , Parbonetti Antonio 
Published: August 2018

Purpose
This paper aims to investigate whether the level of social capital of the region in which a firm is headquartered affects its tax avoidance activities. Social capital can be defined as the mutual trust in society and literature shows that firms headquartered in high social capital regions exhibit higher level of corporate social responsibility. Recent research suggests that some stakeholders consider tax avoidance as a socially irresponsible and illegitimate activity, whereas others deem corporate tax payments as detrimental to social welfare because they hurt economic development. Building on this debate, the relationship between social capital and tax avoidance is empirically investigated.

Design/methodology/approach
A sample of 52,962 firm-year observations over the period 1990-2014 was used to empirically investigate the relationship between social capital and tax avoidance.

Findings
Consistent with the idea that managers consider corporate tax payments as a socially responsible action, evidence was found that firms headquartered in areas with high social capital engage significantly less in tax avoidance activities. It was also documented that the negative impact of social capital on tax avoidance is stronger in the presence of high religiosity, high corporate performance and lower sensitivity of CEO’s compensation to stock volatility.

Originality/value
This paper extends research on social capital and improves the understanding of the effect of the social environment on managerial decision. Importantly, by studying the relationship between social capital and tax avoidance, the authors add to the recent debate on companies’ perception of the desirability of tax avoidance activities from a social viewpoint.
MiR‐873 inhibition enhances gefitinib resistance in non‐small cell lung cancer cells by targeting glioma‐associated oncogene homolog 1
Authors: Jin Shidai , He Jing , Li Jun , Guo Renhua , Shu Yongqian , Liu Ping 
Published: August 2018

BackgroundThe five‐year survival rate of non‐small cell lung cancer (NSCLC) patients is very low. MiR‐873 is involved in the growth, metastasis, and differentiation of tumors. Herein, we determined the target gene and influence of miR‐873 in NSCLC.MethodsMiRanda and Targetscan websites were used to predict the target gene of miR‐873 in NSCLC. Luciferase activity was examined using a dual luciferase reporter gene assay kit. The viability, tube formation, and proliferation of cells were analyzed by cell counting kit‐8, angiogenic analysis, and flow cytometry, respectively. The levels of miR‐873 and GLI1 were evaluated using quantitative real‐time PCR and Western blot assays.ResultsLow levels of GLI1 and high levels of miR‐873 were observed in an NSCLC cell line (PC9) highly sensitive to EGFR‐tyrosine kinase inhibitors. There was a negative correlation between miR‐873 and GLI1 expression in PC9 and PC9/GR cells. The inhibition of miR‐873 enhanced GLI1 levels. MiR‐873 expression was inhibited by gefitinib. Gefitinib markedly reduced the viability, tube formation, and cell number in PC9 cells. However, suppression of miR‐873 enhanced the resistance and knockdown of GLI1 enhanced the sensitivity of PC9 cells to gefitinib.ConclusionsGLI1 is a target gene of miR‐873 in NSCLC. The inhibition of miR‐873 increased gefitinib resistance of NSCLC cells via the upregulation of GLI1. These results indicate that miR‐873‐GLI1 signaling is involved in gefitinib resistance in NSCLC.
Tau protein aggregation is associated with cellular senescence in the brain
Authors: Musi Nicolas , Valentine Joseph M. , Sickora Kathryn R. , Baeuerle Eric , Thompson Cody S. , Shen Qiang , Orr Miranda E. 
Published: August 2018

AbstractTau protein accumulation is the most common pathology among degenerative brain diseases, including Alzheimer's disease (AD), progressive supranuclear palsy (PSP), traumatic brain injury (TBI), and over twenty others. Tau‐containing neurofibrillary tangle (NFT) accumulation is the closest correlate with cognitive decline and cell loss (Arriagada, Growdon, Hedley‐Whyte, & Hyman, ), yet mechanisms mediating tau toxicity are poorly understood. NFT formation does not induce apoptosis (de Calignon, Spires‐Jones, Pitstick, Carlson, & Hyman, 2009), which suggests that secondary mechanisms are driving toxicity. Transcriptomic analyses of NFT‐containing neurons microdissected from postmortem AD brain revealed an expression profile consistent with cellular senescence. This complex stress response induces aberrant cell cycle activity, adaptations to maintain survival, cellular remodeling, and metabolic dysfunction. Using four AD transgenic mouse models, we found that NFTs, but not Aβ plaques, display a senescence‐like phenotype. Cdkn2a transcript level, a hallmark measure of senescence, directly correlated with brain atrophy and NFT burden in mice. This relationship extended to postmortem brain tissue from humans with PSP to indicate a phenomenon common to tau toxicity. Tau transgenic mice with late‐stage pathology were treated with senolytics to remove senescent cells. Despite the advanced age and disease progression, MRI brain imaging and histopathological analyses indicated a reduction in total NFT density, neuron loss, and ventricular enlargement. Collectively, these findings indicate a strong association between the presence of NFTs and cellular senescence in the brain, which contributes to neurodegeneration. Given the prevalence of tau protein deposition among neurodegenerative diseases, these findings have broad implications for understanding, and potentially treating, dozens of brain diseases.
A comparison of the risk of postoperative recurrence between African‐American and Caucasian patients with Crohn's disease
Authors: Anyane‐Yeboa Adjoa , Yamada Akihiro , Haider Haider , Wang Yunwei , Komaki Yuga , Komaki Fukiko , Pekow Joel , Dalal Sushila , Cohen Russell D. , Cannon Lisa , Umanskiy Konstantin , Smith Radhika , Hurst Roger , Hyman Neil , Rubin David T. , Sakuraba Atsushi 
Published: August 2018

SummaryBackgroundMany patients with Crohn's disease will develop complications that require surgery. Recurrence after surgery is common.AimTo assess racial differences in postoperative recurrence between African‐Americans and Caucasians.MethodsMedical records of Crohn's disease patients who underwent surgery (ileal, colonic, or ileocolonic resection) between June 2014 and June 2016 were reviewed. The primary endpoints were clinical and endoscopic remission at 6‐12 months after a Crohn's disease surgery. Secondary outcomes included biological and histologic remission. Risks of recurrence were assessed by univariate, multivariate, and propensity score‐matched analysis.ResultsThirty‐six African‐American and 167 Caucasian patients with Crohn's disease were included for analysis. There was no difference in disease location, disease behaviour, type of surgery performed, and pre‐ or postoperative medication use between the two groups. The rate of endoscopic remission did not differ between African‐American and Caucasian patients (50% vs 42%, P = 0.76), and race did not influence the risk of endoscopic recurrence on univariate, multivariate, or propensity score‐matched analysis. The rate of clinical remission was significantly lower in African‐American patients compared to Caucasian patients (36% vs. 63%, P = 0.008). African‐American race was significantly associated with clinical recurrence on univariate (odds ratio (OR) 6.76, 95% CI 1.50‐30.40; P = 0.01), multivariate (OR 5.02, 95% CI 1.60‐15.80; P = 0.006), and propensity‐matched analysis (68% vs. 32% in Caucasians, P = 0.005). Rates of biologic and histologic remission were similar between the two groups on all analyses.ConclusionsWe found that African‐American patients with Crohn's disease have a similar degree of objective measures of mucosal inflammation after surgery including endoscopic recurrence as compared to Caucasian patients. However, African‐American race was significantly associated with clinical recurrence, suggesting the presence of ethnic variation in postoperative presentation in Crohn's disease.
Proteomic analysis of the hypothalamus of broiler‐type Taiwan country chickens in response to acute heat stress
Authors: Tu Wei‐Lin , Cheng Chuen‐Yu , Chen Chao‐Jung , Chan Hong‐Lin , Wang Shih‐Han , Tang Pin‐Chi , Chen Chih‐Feng , Chen Hsin‐Hsin , Lee Yen‐Pai , Chen Shuen‐Ei , Huang San‐Yuan 
Published: August 2018

AbstractThe hypothalamus is a critical center for regulating heat retention or dissipation. This study investigated global protein changes in the hypothalamus of broiler‐type Taiwan country chickens (TCCs) after acute heat stress. Twelve TCC hens aged 30 weeks were allocated to groups subjected to acute heat stress at 38°C for 2 hr without recovery, with 2 hr of recovery, and with 6 hr of recovery; a control group was maintained at 25°C. Hypothalami were collected for protein expression analysis at the end of each time point. The results showed 114 protein spots differentially expressed after acute heat stress. Most of the differentially expressed proteins were involved in cellular processes, metabolism, transport, and cellular component organization. Functional annotation analysis suggested that these proteins were related to cellular defensive responses against heat and oxidative stress, detoxification and toxin export/delivery, cytoskeleton integrity, oxygen transport, and neural development. The results of this study suggest that acute heat stress damages the hypothalamus of broiler‐type TCCs through oxidative stress and provokes a series of responses to stabilize protein structures, degrade misfolded proteins, and remodel cytoskeletons for attenuating the detrimental effects by acute heat stress.
Postpartum oestrous cycling resumption of yak cows following different calf weaning strategies under range conditions
Authors: Liu Peipei , Dong Quanmin , Liu Shujie , Degen Allan , Zhang Jiaojiao , Qiu Qiang , Jing Xiaoping , Shang Zhanhuan , Zheng Wenming , Ding Luming 
Published: August 2018

AbstractEarly weaning can improve body condition and reproductive performance of cows. The objectives of this study were to examine and compare oestrous cycling resumption, behaviour and blood parameters of yak cows following four different strategies of calf weaning. Twenty‐six yak cows (4–8 years) and their calves (94.3 ± 2.4 days) were studied in which calves were: weaned naturally with free access to their mothers (NW;n = 13); weaned abruptly and separated permanently from their mothers (PW;n = 5); separated temporarily from their mothers for 15 days (TW;n = 5); and fitted with nose plates for 15 days, but allowed free access to their mothers (NP;n = 3). Yak cows with sucking calves (NW) spent more time grazing in the cold season (from d 39 to 84). Based on serum progesterone concentrations, none of nineNWyak cows resumed oestrous cycling during the study, while seven of nine yak cows with weaned calves resumed cycling (3/3 forPW; 2/3 forTW; and 2/3 forNPyaks). We concluded that early weaning improved postpartum reproductive performance of yak cows on the Qinghai‐Tibetan plateau and that abrupt and permanent weaning was an appropriate strategy.
Bayesian Negative Binomial Mixture Regression Models for the Analysis of Sequence Count and Methylation Data
Authors: Li Qiwei , Cassese Alberto , Guindani Michele , Vannucci Marina 
Published: August 2018

SummaryIn this article, we develop a Bayesian hierarchical mixture regression model for studying the association between a multivariate response, measured as counts on a set of features, and a set of covariates. We have available RNA-Seq and DNA methylation data measured on breast cancer patients at different stages of the disease. We account for the heterogeneity and over-dispersion of count data (here, RNA-Seq data) by considering a mixture of negative binomial distributions and incorporate the covariates (here, methylation data) into the model via a linear modeling construction on the mean components. Our modeling construction includes several innovative characteristics. First, it employs selection techniques that allow the identification of a small subset of features that best discriminate the samples while simultaneously selecting a set of covariates associated to each feature. Second, it incorporates known dependencies into the feature selection process via the use of Markov random field (MRF) priors. On simulated data, we show how incorporating existing information via the prior model can improve the accuracy of feature selection. In the analysis of RNA-Seq and DNA methylation data on breast cancer, we incorporate knowledge on relationships among genes via a gene-gene network, which we extract from the KEGG database. Our data analysis identifies genes which are discriminatory of cancer stages and simultaneously selects significant associations between those genes and DNA methylation sites. A biological interpretation of our findings reveals several biomarkers that can help understanding the effect of DNA methylation on gene expression transcription across cancer stages.
Does government R&D stimulate or crowd out firm R&D spending? Evidence from Chinese manufacturing industries
Authors: Hu Albert G.Z. , Yongxu Deng 
Published: August 2018

AbstractWe examine whether receiving a government R&D grant stimulates or crowds out a firm’s own R&D spending in Chinese manufacturing industries. Using a database that spans the population of large and medium size privately owned Chinese manufacturing firms for the period from 2007 to 2011, a matching estimator and a matching and difference in‐differences estimator, we find a large firm R&D promoting effect of government R&D: receiving a government R&D grant led to a 4 to 9‐million‐yuan increase in a firm’s own R&D expenditures. This is a significant effect since the average R&D expenditures ranged from 5 to 9 million yuan in the year before receiving the grant. To understand the mechanisms behind this effect, we compare the before‐ and after‐treatment performance and behaviour of the treated and the control firms. We find that the government R&D receiving firms became more profitable following their receipt of the grant. We also find that receiving a government R&D grant increases the likelihood of a firm continuing its R&D performance after receiving the initial grant.
The need to educate future dental professionals on E‐cigarette effects
Authors: Martín Carreras‐Presas C. , Naeim M. , Hsiou D. , Somacarrera Pérez M. L. , Messadi D. V. 
Published: August 2018

AbstractObjectiveTo compare knowledge and attitude of dental students in two countries towards E‐cigarettes and their long‐term effects.Material and MethodsAn anonymous cross‐sectional survey, using self‐administered questionnaires, was conducted amongst dental students from the University of California, Los Angeles School of Dentistry (UCLA) and Universidad Europea of Madrid (UE).ResultsThere were significant differences in knowledge and perception of E‐cigarettes between dental students from both countries. Three (3%) of the participants from UE sample smoked E‐cigarettes every day, compared to none of the students from UCLA. Almost 54 (80%) students from UCLA claimed that they had never experimented with an E‐cigarette, whereas 61 (65%) of UE sample reported not having experimented with E‐cigarettes in the past. More than 15% of students in both populations were unsure of the potentially harmful effects of E‐cigarette usage. A significantly higher proportion of the Spanish sample used conventional cigarettes compared to the US sample 53 (56%) compared to 36 (24%), P < 0.001). In addition, when compared to the UE sample, UCLA students rated E‐cigarettes as being less harmful overall than tobacco P < 0.001. Furthermore, more than 86% of both populations indicated interest in learning more about the potential risks associated with E‐cigarettes.ConclusionsThis survey indicated that students from one dental school in the United States of America (USA) and one in Spain lacked the knowledge to address the rising E‐cigarette population usage and provide information regarding them to patients. Specific educational programmes on E‐cigarette hazards and long‐term effects on oral and systemic health should be implemented in dental curricula in both of these schools in order to stay receptive to the changing field of tobacco education.
Mature students’ access to higher education: A critical analysis of the impact of the 23+ policy in Portugal
Authors: Amorim José Pedro 
Published: August 2018

AbstractIncreasing mature students’ access to higher education (HE) is a worldwide priority. In Portugal, the 23+ policy which was launched ten years ago opened HE to these students. A critical analysis of eight years’ data on the universe of mature candidates in HE in Portugal shows that this “opening” varies in inverse ratio to the social prestige of institutions and subject areas. The private polytechnics and the soft sciences display a greater receptiveness than the public universities and the hard sciences. This article demonstrates that mature students save the HEIs that are less sought‐after by “traditional” students and argues for fairer access to the most prestigious HEIs and programmes.
Bioinformatics for immunologists
Authors: Altmann Daniel M. 
Published: August 2018

SummaryImmunology was once a specialty prone to cause dismay or even scepticism among outsiders for its struggles to visualize poorly understood, complex interactions through descriptive models integrating cell types, their factors and functions. This was the age of ‘too many soft ideas propped up by too little hard data’. Twenty‐first century immunologists have the advantage of being able to marry this rich conceptual legacy to a contemporary toolkit offering such depth of hard data across different ‘omics’ platforms, that they are faced by the opposite dilemma: ‘too much hard data to comprehend or synthesize into a meaningful narrative’. Approaches including next‐generation sequencing of host and pathogen genomes and transcriptomes, metagenomics of the microbiota, creative strategies for receptor repertoire sequencing, and then for proteomics and metabolomics, encompass all that is needed to tell the entire story, if only we are creative enough, not only to evaluate the message from any given omics platform, but to derive the tools that enable us to integrate the answers from diverse omics platforms in a meaningful way. To achieve this goal, there is an urgent need to ensure we train the next generation of bioinformatically literate researchers.