bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sex differences in gene expression in the human fetal brain
Authors: O’Brien Heath E. , Hannon Eilis , Jeffries Aaron R. , Davies William , Hill Matthew J. , Anney Richard J. , O’Donovan Michael C. , Mill Jonathan , Bray Nicholas J. 
Published: November 2018

ABSTRACTWidespread structural, chemical and molecular differences have been reported between the male and female human brain. Although several neurodevelopmental disorders are more commonly diagnosed in males, little is known regarding sex differences in early human brain development. Here, we used RNA sequencing data from a large collection of human brain samples from the second trimester of gestation (N = 120) to assess sex biases in gene expression within the human fetal brain. In addition to 43 genes (102 Ensembl transcripts) transcribed from the Y-chromosome in males, we detected sex differences in the expression of 2558 autosomal genes (2723 Ensembl transcripts) and 155 genes on the X-chromosome (207 Ensembl transcripts) at a false discovery rate (FDR) < 0.1. Genes exhibiting sex-biased expression in human fetal brain are enriched for high-confidence risk genes for autism and other developmental disorders. Male-biased genes are enriched for expression in neural progenitor cells, whereas female-biased genes are enriched for expression in Cajal-Retzius cells and glia. All gene- and transcript-level data are provided as an online resource (available at http://fgen.psycm.cf.ac.uk/FBSeq1) through which researchers can search, download and visualize data pertaining to sex biases in gene expression during early human brain development.
Extent of the annual Gulf of Mexico hypoxic zone influences microbial community structure
Authors: Campbell Lauren Gillies , Thrash J. Cameron , Rabalais Nancy N. , Mason Olivia U. 
Published: November 2018

AbstractRich geochemical datasets generated over the past 30 years have provided fine-scale resolution on the northern Gulf of Mexico (nGOM) coastal hypoxic (≤ 2 mg of O2L-1) zone. In contrast, little is known about microbial community structure and activity in the hypoxic zone despite the implication that microbial respiration is responsible for forming low dissolved oxygen (DO) conditioXSns. Here, we hypothesized that the extent of the hypoxic zone is a driver in determining microbial community structure, and in particular, the abundance of ammonia-oxidizing archaea (AOA). Samples collected across the shelf for two consecutive hypoxic seasons in July 2013 and 2014 were analyzed using 16S rRNA gene sequencing, oligotyping, microbial co-occurrence analysis and quantification of thaumarchaeal 16S rRNA and archaeal ammonia-monooxygenase (amoA) genes. In 2014 Thaumarchaeota were enriched and inversely correlated with DO while Cyanobacteria, Acidimicrobiia and Proteobacteria where more abundant in oxic samples compared to hypoxic. Oligotyping analysis ofNitrosopumilus16S rRNA gene sequences revealed that one oligotype was significantly inversely correlated with dissolved oxygen (DO) in both years and that low DO concentrations, and the high Thaumarchaeota abundances, influenced microbial co-occurrence patterns. Taken together, the data demonstrated that the extent of hypoxic conditions could potentially influence patterns in microbial community structure, with two years of data revealing that the annual nGOM hypoxic zone is emerging as a low DO adapted AOA hotspot.
A computational solution to improve biomarker reproducibility during long-term projects
Authors: Feng Feng , Thompson Morgan P. , Thomas Beena E. , Duffy Elizabeth R. , Kim Jiyoun , Kurosawa Shinichiro , Tashjian Joseph Y. , Wei Yibing , Andry Chris , Stearns-Kurosawa D.J. 
Published: November 2018

AbstractBiomarkers are fundamental to basic and clinical research outcomes by reporting host responses and providing insight into disease pathophysiology. Measuring biomarkers with research-use ELISA kits is universal, yet lack of kit standardization and unexpected lot-to-lot variability presents analytic challenges for long-term projects. During an ongoing two-year project measuring plasma biomarkers in cancer patients, control concentrations for one biomarker (PF) decreased significantly after changes in ELISA kit lots. A comprehensive operations review pointed to standard curve shifts with the new kits, an analytic variable that jeopardized data already collected on hundreds of patient samples. After excluding other reasonable contributors to data variability, a computational solution was developed to provide a uniform platform for data analysis across multiple ELISA kit lots. The solution (ELISAtools) was developed within open-access R software in which variability between kits is treated as a batch effect. A defined best-fit Reference standard curve is modelled, a unique Shift factor “S” is calculated for every standard curve and data adjusted accordingly. The averaged S factors for PF ELISA kit lots #1-5 ranged from −0.086 to 0.735, and reduced control inter-assay variability from 62.4% to <9%, within quality control limits. S factors calculated for four other biomarkers provided a quantitative metric to monitor ELISAs over the 10 month study period for quality control purposes. Reproducible biomarker measurements are essential, particularly for long-term projects with valuable patient samples. Use of research-use ELISA kits is ubiquitous and judicious use of this computational solution maximizes biomarker reproducibility.
Exploring differentially expressed key genes related to development of follicle by RNA-seq in Peking ducks (Anas Platyrhynchos)
Authors: Ren Jindong , Sun Changsen , Chen Li , Hu Jianhong , Huang Xuetao , Liu Xiaolin , Lu Lizhi 
Published: November 2018

AbstractDuck follicle enter different reproductive phases throughout life, and follicle gene expression patterns differ according to these phases. In particular, differentially expressed genes and related to development of follicle (mRNAs) play an important role to explore the key genes in this process; however, the expression profiles of these genes remain unclear. In this study, transcriptome sequencing was used to investigate the expression levels of duck ovarian genes, and comparative transcriptional analysis was carried out to identify differential genes, cluster them into groups and function identification. The results showed differential expression of 593 coding genes between young and laying ducks, and of 518 coding genes between laying and old ducks. In further GO analysis, 35 genes from the comparison bewtween old ducks and laying ducks have significant been changed involved in hormones related to follicle development. They include up-regulated genes StAR, CYP17, EPOX, 3β-HSD, CYP1B1 CYP19A1 and down-regulated genes SR-B1 in laying ducks hormone synthesis than old ducks. Among which EPOX is a key gene for time special highly expression during egg laying stage, and other key regulatory genes’ highly expression showed in young and laying stage and lower expression showing with follicular development stopping. Therefore, EPOX is key regulator for duck follicle development in laying period, when its expression level decrease 98% the follicular development will stopping in duck life cycle.
Synthetic Biology - Mapping the Patent Landscape
Authors: Oldham Paul , Hall Stephen 
Published: November 2018

AbstractThis article presents the global patent landscape for synthetic biology as a new and emerging area of science and technology. The aim of the article is to provide an overview of the emergence of synthetic biology in the patent system and to contribute to future research by providing a high quality tagged core dataset with 7,424 first filings and 71,887 family members. This dataset is intended to assist with evidence based exploration of synthetic biology in the patent system and with advancing methods for the analysis of new and emerging areas of science and technology.The starting point for the research is recognition that traditional methods of patent landscape analysis based on key word searches face limitations when addressing new and emerging areas of science and technology. Synthetic biology can be broadly described as involving the design, synthesis and assembly of biological parts, circuits, pathways, cells and genomes. As such synthetic biology can be understood as emerging from a combination of overlaps and convergences between existing fields and disciplines, such as biotechnology, genetic engineering, protein engineering and systems biology. More precisely, synthetic biology can be understood as thesynthetic phaseof molecular biology and genetic engineering. This presents the problem that key word strategies may radically overestimate activity because they involve terms that are widely used in underlying fields that are contributing to synthetic biology.In response to this problem we combined anthropology, scientometrics and data science to map authors from scientific publications on synthetic biology into the international patent system. We mapped 10,816 authors into the international patent system and identified 2,450 authors of articles on synthetic biology who are also inventors in the period to December 2017. By combining this data with citation information and a baseline keyword strategy we are able to describe the global patent landscape for synthetic biology and the wider patent universe in which synthetic biology is situated.This article describes the main features of the global landscape and provides the tagged dataset as a contribution to evidence based debate on intellectual property and synthetic biology and methodological development. We anticipate that the data will prove useful in informing international policy debates on synthetic biology under the United Nations Convention on Biological Diversity.
A bi-level programming for transportation services procurement based on combinatorial auction with fuzzy random parameters
Authors: Yan Fang , Ma Yanfang , Feng Cuiying 
Published: November 2018

Purpose
The purpose of this paper is to study a transportation service procurement bid construction problem from a less than a full truckload perspective. It seeks to establish stochastic mixed integer programming to allow for the proper bundle of loads to be chosen based on price, which could improve the likelihood that carrier can earn its maximum utility.

Design/methodology/approach
The authors proposes a bi-level programming that integrates the bid selection and winner determination and a discrete particle swarm optimization (PSO) solution algorithm is then developed, and a numerical simulation is used to make model and algorithm analysis.

Findings
The algorithm comparison shows that although GA could find a little more Pareto solutions than PSO, it takes a longer time and the quality of these solutions is not dominant. The model analysis shows that compared with traditional approach, our model could promote the likelihood of winning bids and the decision effectiveness of the whole system because it considers the reaction of the shipper.

Originality/value
The highlights of this paper are considering the likelihood of winning the business and describing the conflicting and cooperative relationship between the carrier and the shipper by using a stochastic mixed integer programming, which has been rarely examined in previous research.
Can diversification explain financial performance in agribusiness co-operatives?
Authors: Martins Fellipe Silva , Lucato Wagner Cezar , Da Silva Dirceu 
Published: November 2018

PurposeThe purpose of this paper is to integrate Brazilian agro-industrial co-operatives’ horizontal, lateral and vertical integration diversification and expansion strategies, such as operation area and membership, with financial models. Several studies have tried to assess the importance of diversification on the financial outcomes in agricultural co-operatives with limited success.Design/methodology/approachThe three main concepts were combined in a working model. A survey was developed to gather data on financial, diversification and expansion strategies from 67 co-operatives (44 per cent return rate). Data were processed using a partial least squares structural equation model.FindingsThe findings suggest that expansion is directly responsible for both the financial output and diversification strategy; however, no hard evidence supports the view that the diversification of production in some agro-industrial co-operatives leads to positive financial results.Research limitations/implicationsOnly larger Brazilian co-operatives (>$50m in annual revenues) were considered. Co-operatives facing other scenarios or smaller co-operatives could have different outcomes.Practical implicationsBesides diversifying their co-operatives for financial reasons, managers should also consider risk aversion and adapting to new farmers’ portfolios as probable reasons.Originality/valueExtant literature asserts that diversification leads to financial growth; as the co-operatives studied show no such causal relationship, it follows that they diversify their portfolios for other purposes.
Heterogeneity in client motives for utilizing management consulting
Authors: Mattila Jukka , Tukiainen Sampo , Kajalo Sami 
Published: November 2018

PurposeThe paper advances research on the heterogeneity of client behavior and the understanding of “the client” as a key topic in the research of management consulting. First, this issue is addressed by summarizing the clients’ reasons for acquiring and utilizing management consulting services. Second, the purpose of this paper is to examine the ways in which these reasons vary in four key client groups.Design/methodology/approachBuilding on 1,127 responses to a survey questionnaire, the clients’ motives for acquiring and using management consulting are examined in four different client groups. Principal component analysis with an eigenvalue greater than one and varimax rotation method was used to discern the motives for acquiring and using consulting.FindingsThe analysis identifies two co-existing factors as key reasons for acquiring and utilizing management consulting: “Impact” and “Significance.” This typology is used to show that the reasons for acquiring management consulting services are dependent on the hierarchical level of the client. While reasons related to “Impact” are consistently emphasized in the four examined client groups, reasons related to “Significance” show greater variance and are emphasized less higher up in the organizational hierarchy.Research limitations/implicationsThe paper argues for the need to reconsider the conventionally marginal and subordinate position of subjective motivations in the management consulting literature. The paper creates bridges between previously contending paradigms by developing a holistic and comprehensive framework of the client motives for utilizing management consulting.Practical implicationsFor practitioners, the results complement prior understandings of client purchase decision making. More fundamentally, this paper provides elements for restructuring the overall discourse on the roles and uses of consultants.Originality/valueThe paper is the first large-sample examination of client heterogeneity, developing an empirically verified typology of the reasons for utilizing management consulting. More importantly, the paper specifies how these reasons vary among four key client groups. The primary contributions of the paper are: the paper posits a robust typology on the previously multivocal and fragmented reasons for utilizing management consulting. The paper specifies how the reasons vary in four key client groups, developing a more nuanced understanding of the heterogeneity of “the client.”
Do boundary preferences, work-family self-efficacy and proactive personality predict job satisfaction? The mediating role of work-family enrichment
Authors: Premchandran Rajesh , Priyadarshi Pushpendra 
Published: November 2018

PurposeThe purpose of this paper is to explore the role of personality and individual differences as an antecedent to work-family enrichment (WFE) and consequently with job satisfaction. This study address gaps in WFE literature by looking at proactivity, work-family self-efficacy (WFSE) and family permeability as antecedent variables that have received scant attention from researchers. By addressing these gaps, the study seeks to advance theory on WFE and its relation to job satisfaction.Design/methodology/approachThe authors do this through the exploration of pathways through WFE and studying 508 married individuals, with at least one child, working in the IT/ITES sector in India. The authors use structural equation modeling to analyze different pathways from personality based antecedents and WFE as mediator.FindingsThe results demonstrate the mediating role of WFE in the relationship between antecedents (WFSE, family permeability and proactive personality) and job satisfaction.Research limitations/implicationsThis study contributes to existing research on WFE and personality by showing that WFE is a significant pathway toward job satisfaction and how personality variables influence satisfaction.Originality/valueIt is also the first study to use proactivity and WFSE as antecedents to test out the influence of WFE on job satisfaction. This is also the first study to look at only married individuals with children in a WFE study forced on the services sector. Consequently, these findings have significant implications in the way organizations deal with work-life situations, especially in the 30+ age bracket in India.
Free convection heat transfer and entropy generation analysis of water-Fe3O4/CNT hybrid nanofluid in a concentric annulus
Authors: Shahsavar Amin , Talebizadeh Sardari Pouyan , Toghraie D. 
Published: November 2018

Purpose
This paper aims to numerically investigate the heat transfer and entropy generation characteristics of water-based hybrid nanofluid in natural convection flow inside a concentric horizontal annulus.

Design/methodology/approach
The hybrid nanofluid is prepared by suspending tetramethylammonium hydroxide-coated Fe3O4 (magnetite) nanoparticles and gum arabic (GA)-coated carbon nanotubes (CNTs) in water. The effects of nanoparticle volume concentration and Rayleigh number on the streamlines, isotherms, average Nusselt number and the thermal, frictional and total entropy generation rates are investigated comprehensively.

Findings
Results show the advantageous effect of hybrid nanofluid on the average Nusselt number. Furthermore, the study of entropy generation shows the increment of both frictional and thermal entropy generation rates by increasing Fe3O4 and CNT concentrations at various Rayleigh numbers. Increasing Rayleigh number from 103 to 105, at Fe3O4 concentration of 0.9 per cent and CNT concentration of 1.35 per cent, increases the average Nusselt number, thermal entropy generation rate and frictional entropy generation rate by 224.95, 224.65 and 155.25 per cent, respectively. Moreover, increasing the Fe3O4 concentration from 0.5 to 0.9 per cent, at Rayleigh number of 105 and CNT concentration of 1.35 per cent, intensifies the average Nusselt number, thermal entropy generation rate and frictional entropy generation rate by 18.36, 22.78 and 72.7 per cent, respectively.

Originality/value
To the best knowledge of the authors, there are not any archival publications considering the detailed behaviour of the natural convective heat transfer and entropy generation of hybrid nanofluid in a concentric annulus.
Effect of MoS2 on transfer film formation and friction coefficients in NAO friction material
Authors: Chung Jin Oh , Go Sang Ryul , Kim Jeong Hee , Choi Jong Geun , Kim Hyang Rae , Choi Hee Bum 
Published: November 2018

Purpose
The purpose of this paper is to investigate surroundings for transfer film formation and removal, the effect of the transfer film formation on friction coefficients, the effect of four different abrasive components, ZrO2, ZrSiO4, Al2O3 and Fe3O4, on transfer film formation and the effect of lubricating component MoS2 on transfer film formation and friction coefficients.

Design/methodology/approach
Two different MoS2 contents of 5.5 and 8.5 per cent were added to friction materials with no MoS2 content, which have four different abrasive components, ZrO2, ZrSiO4, Al2O3, Fe3O4. Friction tests composed of three different stages were conducted for those materials, and the friction surfaces of the counterpart disks were examined by scanning electron microscopy (SEM) to access the formation of transfer film at each stage.

Findings
For the transfer film formation, high temperature was a prerequisite, but the magnitude of deceleration rate was not important. The effect of the transfer film formation was to reduce the friction coefficients for most friction materials. Friction coefficients of materials which contain lubricating component MoS2 were higher than those which contain no MoS2 for most friction materials. The effect of the lubricating component MoS2 was to suppress the formation of transfer film, thus resulting in increase in friction coefficients.

Research limitations/implications
The transfer film was rather thin, with thickness of 1-2 µm for most friction materials. That hindered the examination of mechanical properties of the transfer film, such as hardness.

Practical implications
This research explained the surroundings for transfer film formation, and its effect on friction coefficients. The research suggests to suppress the formation of transfer film to make friction materials with high friction coefficient, and the lubricating component MoS2 can be used for the purpose.

Social implications
Development of high-friction-brake materials conventionally depends on the use of strong abrasive components, which may induce attacking of counterpart disks. The enhancement of friction coefficients with addition of MoS2 content is expected to open a new prospect in development of high-performance friction materials, which can be applicable to brake pads for racing cars.

Originality/value
The study is in pursuit of the transfer film formation in successive friction stages, which revealed the conditions for transfer film generation and removal. Specimen preparation for SEM observation of cross section of friction surface was painstaking to not damage the developed friction surface. The study revealed the effect of different abrasive components on transfer film formation and the effect of lubrication contents of MoS2 on transfer film formation and friction coefficients.
Thermal-fluid-solid coupling deformation of hydrostatic thrust bearing friction pairs
Authors: Yu Mubing , Yu Xiaodong , Zheng Xuhang , Jiang Hui 
Published: November 2018

Purpose
The purpose of this paper is to study thermal-fluid-solid coupling deformation and friction failure mechanism of bearing friction pairs under the working conditions of high speed and heavy load.

Design/methodology/approach
The deformation is simulated based on thermal-fluid-solid coupling method, its deformation distribution law is revealed and the relationships of deformation of friction pairs, rotational speed and bearing weight are obtained.

Findings
The results prove that the oil film temperature rises sharply, the lubricating oil viscosity decreases rapidly, the film thickness becomes thinner, the deformation increases, the whole deformation is uneven and the boundary lubrication or dry friction are caused with the increase in rotational speed and bearing load.

Originality/value
The conclusions provide theoretical method for deformation solution and friction failure mechanism of hydrostatic thrust bearing.