bluuebunny/crossref_metadata_2025_split huggingface dataset:
TCF7L2 regulates postmitotic differentiation programs and excitability patterns in the thalamus
Authors: Lipiec Marcin Andrzej , Koziński Kamil , Zajkowski Tomasz , Bem Joanna , Urban-Ciećko Joanna , Dąbrowski Michał , Chakraborty Chaitali , Szewczyk Łukasz Mateusz , Toval Angel , Ferran José Luis , Nagalski Andrzej , Wiśniewska Marta Barbara 
Published: January 2019

AbstractNeuronal phenotypes are controlled by terminal selector transcription factors in invertebrates, but few examples of such regulators have been provided in vertebrates. TCF7L2 has been identified as a regulator of efferent outgrowth in the thalamus and habenula. We used a complete and conditional knockout ofTcf7l2in mice to investigate the hypothesis that TCF7L2 plays a dual role in thalamic neuron differentiation and functions as a terminal selector. Connectivity and cell clustering was disrupted in the thalamo-habenular region inTcf7l2-/-embryos. The expression of subregional thalamic and habenular transcription factors was lost and region-specific cell migration and axon guidance genes were downregulated. In mice with postnatalTcf7l2knockout, the induction of genes that confer terminal electrophysiological features of thalamic neurons was impaired. Many of these genes proved to be TCF7L2 direct targets. The role of TCF7L2 in thalamic terminal selection was functionally confirmed by impaired firing modes in thalamic neurons in the mutant mice. These data corroborate the existence of master regulators in the vertebrate brain that maintain regional transcriptional network, control stage-specific genetic programs and induce terminal selection.StatementThe study describes a role of TCF7L2 in neuronal differentiation of thalamic glutamatergic neurons at two developmental stages, highlighting its involvement in the postnatal establishment of critical thalamic electrophysiological features.
Comprehensive biodiversity analysis via ultra-deep patterned flow cell technology: a case study of eDNA metabarcoding seawater
Authors: Singer GAC , Fahner N , Barnes J , McCarthy A , Hajibabaei M 
Published: January 2019

1AbstractThe characterization of biodiversity is a crucial element of ecological investigations as well as environmental assessment and monitoring activities. Increasingly, amplicon-based environmental DNA metabarcoding (alternatively, marker gene metagenomics) is used for such studies given its ability to provide biodiversity data from various groups of organisms simply from analysis of bulk environmental samples such as water, soil or sediments. The Illumina MiSeq is currently the most popular tool for carrying out this work, but we set out to determine whether typical studies were reading enough DNA to detect rare organisms (i.e., those that may be of greatest interest such as endangered or invasive species) present in the environment. We collected sea water samples along two transects in Conception Bay, Newfoundland and analyzed them on the MiSeq with a sequencing depth of 100,000 reads per sample (exceeding the 60,000 per sample that is typical of similar studies). We then analyzed these same samples on Illumina’s newest high-capacity platform, the NovaSeq, at a depth of 7 million reads per sample. Not surprisingly, the NovaSeq detected many more taxa than the MiSeq thanks to its much greater sequencing depth. However, contrary to our expectations this pattern was true even in depth-for-depth comparisons. In other words, the NovaSeq can detect more DNA sequence diversity within samples than the MiSeq, even at the exact same sequencing depth. Even when samples were reanalyzed on the MiSeq with a sequencing depth of 1 million reads each, the MiSeq’s ability to detect new sequences plateaued while the NovaSeq continued to detect new sequence variants. These results have important biological implications. The NovaSeq found 40% more metazoan families in this environment than the MiSeq, including some of interest such as marine mammals and bony fish so the real-world implications of these findings are significant. These results are most likely associated to the advances incorporated in NovaSeq especially patterned flow cell, which prevents similar sequences that are neighbours on the flow cell (common in metabarcoding studies) from being erroneously merged into single spots by the sequencing instrument. This study sets the stage for incorporating eDNA metabarcoding in comprehensive analysis of oceanic samples in a wide range of ecological and environmental investigations.
Urinary proteome of dogs with kidney injury during babesiosis
Authors: Winiarczyk D. , Michalak K. , Adaszek L. , Winiarczyk M. , Madany J. , Winiarczyk S. 
Published: January 2019

AbstractThis study aimed to identify proteins found in the urine of dogs with renal dysfunction leading to acute injury during the natural course of babesiosis (n=10) and to compare them with proteins of a control group (n=10) to reveal any potential biomarkers of renal damage. Pooled urine samples of both groups were separated by 2D electrophoresis (two dimensional electrophoresis), followed by the identification of all proteins using MALDI-TOF mass spectrometry (matrix assisted laser desorption ionization-time of flight). In total, 176 proteins were identified in the urine samples from healthy dogs, and 403 proteins were identified in the urine samples from dogs with babesiosis. Of the 176 proteins, 146 were assigned exclusively to healthy dogs, and 373 of the 403 proteins were assigned exclusively to dogs with babesiosis; 30 proteins were common to both groups. Characteristic analysis of the 373 proteins found in dogs with babesiosis led to the isolation of 8 proteins associated with 10 metabolic pathways that were attributed to immune and inflammatory response development. Furthermore, it was hypothesized that the epithelial-mesenchymal transition might play an important role in mechanisms underlying pathological renal tissue changes during babesiosis, as indicated by a causal relationship network built by combining 5 of the 10 selected metabolic pathways and 4 of the 8 proteins associated with these pathways. These included cadherins, gonadotropin releasing hormone receptors, inflammatory responses mediated by chemokine and cytokine signalling pathways, integrins, interleukin and TGF-β (transforming growth factor β) pathways. These pathways were linked by interleukin-13, bone morphogenetic protein 7, α2(1) collagen, and FER tyrosine kinase, which are potential damage biomarkers during babesiosis in dogs that might be assigned to early renal injury.
Castration-resistant prostate cancer: Androgen receptor inactivation induces telomere DNA damage, and damage response inhibition leads to cell death
Authors: Reddy Vidyavathi , Iskander Asm , Hwang Clara , Divine George , Menon Mani , Barrack Evelyn R. , Reddy G. Prem-Veer , Kim Sahn-Ho 
Published: January 2019

AbstractTelomere stability is important for cell viability, as cells with telomere DNA damage that is not repaired do not survive. We reported previously that androgen receptor (AR) antagonist induces telomere DNA damage in androgen-sensitive LNCaP prostate cancer cells; this triggers a DNA damage response (DDR) at telomeres that includes activation of ATM, and blocking ATM activation prevents telomere DNA repair and leads to cell death. Remarkably, AR antagonist induces telomere DNA damage and triggers ATM activation at telomeres also in 22Rv1 castration-resistant prostate cancer (CRPC) cells that are not growth inhibited by AR antagonist. Treatment with AR antagonist enzalutamide (ENZ) or ATM inhibitor (ATMi) by itself had no effect on growth in vitro or in vivo, but combined treatment with ENZ plus ATMi significantly inhibited cell survival in vitro and tumor growth in vivo. By inducing telomere DNA damage and activating a telomere DDR, an opportunity to inhibit DNA repair and promote cell death was created, even in CRPC cells. 22Rv1 cells express both full-length AR and AR splice variant AR-V7, but full-length AR was found to be the predominant form of AR associated with telomeres and required for telomere stability. Although 22Rv1 growth of untreated 22Rv1 cells appears to be driven by AR-V7, it is, ironically, expression of full-length AR that makes them sensitive to growth inhibition by combined treatment with ENZ plus ATMi. Notably, this combined treatment approach to induce telomere DNA damage and inhibit the DDR was effective in inducing cell death also in other CRPC cell lines (LNCaP/AR and C4-2B). Thus, the use of ENZ in combination with a DDR inhibitor, such as ATMi, may be effective in prolonging disease-free survival of patients with AR-positive metastatic CRPC, even those that co-express AR splice variant.
Connecting the dots between brand logo and brand image
Authors: Kaur Harsandaldeep , Kaur Kanwalroop 
Published: January 2019

Purpose
Although the prominence of brand logo for companies is widely acknowledged, a close examination of the literature reveals lack of empirical research pertaining to effect of brand logo on consumer perception toward brand. Therefore, the purpose of this paper is to fill the gap in marketing studies concerning the effect of a logo on consumer evaluations. The research addresses two questions: first, how brand logo favorability helps to increase brand image; and second, how brand logo form consumer perceptions toward brand through brand personality dimensions and brand familiarity?

Design/methodology/approach
The data were collected from 816 respondents using mall-intercept technique. Structural equation modeling via AMOS was conducted to test the proposed model to gain insight into the various relevant influences and relationships.

Findings
The findings revealed the importance of the company’s brand logo in enhancing the brand image. The results further highlighted that brand personality dimensions and brand familiarity mediate the relationship between brand logo and brand image.

Practical implications
The study offers managers a new perspective for building strong brand identity with the help of logos along with the brand personality dimensions and brand familiarity to enhance brand image.

Originality/value
This study provides novel insights on the impact of brand logo on brand image. This is the first study to determine the mediating role of brand personality in the relationship between brand logo and brand image. It thereby adds to the literature of visual identity by developing the sphere of influence of brand logo and its effects toward brands.
Socially responsible procurement
Authors: Murphy Martina , Eadie Robert 
Published: January 2019

PurposeSocially responsible procurement (SRP) utilises government expenditure on construction procurement as a means of generating social value from construction activities. The paper proposes that SRP is a type of innovation delivering social value in the form of employment opportunities to local communities. The purpose of this paper is to investigate the use of SRP in Northern Ireland procurement and align the findings with existing literature.Design/methodology/approachA three-stage approach was employed, namely, first, a review of innovation and SRP literature; second, a survey of 50 Northern Ireland construction organisations to extract perceptions of SRP in practice; and third, qualitative analysis of the literature with the empirical insights.FindingsFindings show that SRP is being driven by social legislation and being delivered by contractors as part of their contractual obligations. SRP represents a significant shift from standard construction practice which makes it challenging to implement using traditional processes and systems. It is found that SRP is generating social benefits through employment creation and the feedback from employees is largely positive. However, it is proposed that contractors need to adopt a more person-centric approach to the implementation of SRP to sustain the benefits being currently evidenced.Originality/valueThe study suggests that there is an urgent need for more holistic measurement of impacts and outcomes of SRP to ensure social targets are appropriate for the communities in which projects are being constructed.
Driving factors of merger momentum in China: empirical evidence from listed companies
Authors: Fu Lei , Wang Qian 
Published: January 2019

Purpose
The purpose of this paper is to study merger momentum and its driving factors in China by sampling 376 listed bidders from 2008 to 2013.

Design/methodology/approach
The empirical model captures the dependency of market reaction on recent merger and stock market states. The independent variables are designed from two dimensions, i.e. at the level of market-wide as an integral and bidder-specific as individuals. Furthermore, both the market and bidding firms contain merger momentum and market momentum, respectively.

Findings
The empirical results show that there is merger momentum in the market. Particularly, merger momentum is significant both in short run and long run for the mergers with cash payment, which supports the synergy effect. It also implicates the mergers with stock driven by investor sentiment. Besides, investors’ over-optimism is significant in the bull markets while managerial hubris is found in the bear markets.

Research limitations/implications
The driving factors for merger momentum in China are complex. Three impacts with different effects interact with one another. They are investor sentiment and managerial hubris with negative effects resulting in reversal abnormal return in the long run, and synergies with positive shocks resulting in no reverse at all. The limitation of the paper is insufficient analysis of the mergers financed by stocks, which will be the focus for future study.

Practical implications
The conclusions of the study help to intensify the understanding of the immature and unnormalized capital market in China. The empirical analyses give some inspiration and suggestions to three parties in the market, i.e. investors, bidding firms and regulators, respectively.

Originality/value
There are three contributions. The first one is to provide a novel model to identify how these different effects work on the merger momentum. The second one is the measurement of investor sentiment from different perspectives. The last but most important one is the new findings with novel explanations, which proves that the impacts on merger momentum are complex.
The relationship of personal innovativeness, quality of digital resources and generic usability with users’ satisfaction
Authors: Khan Asad , Masrek Mohamad Noorman , Mahmood Khalid 
Published: January 2019

PurposeIn addition to instrumental assumptions, behavioural researchers suggest the study of individual traits such as personal innovativeness (PI), users’ satisfaction and other theoretical beliefs for example quality and general usage patterns as the latent determinants of early and post-adoptions of technological innovations. In the context of Higher Education Commission digital library of Pakistan, the purpose of this paper is to examine the relationship of PI, quality of digital resources and generic usability of digital libraries (DL) with users’ satisfaction.Design/methodology/approachTo guide the conceptual model of this study, five hypothesized relationships were formulated. Adopting a quantitative approach, snowball sampling techniques were used. A total of 464 users of DL enrolled in different programs of study in the universities of Pakistan participated and responded to the survey. For data analyses, partial least squares, a method in the structural equation modeling was used.FindingsAnalyses reveal positive and strong relationships of PI, quality of digital resources and generic usability of DL with users’ satisfaction. Thus, the findings of this study established personal traits as the significant determinants of intention to adopt DL.Research limitations/implicationsThe decision of effective adoption is manipulated by the extent of users’ willing (PI), level of satisfaction, the image of quality and users’ past experience with the use of related innovations. Thus, librarians in addition to the system features should also focus on individual characteristics and quality of resources that probably influence adequate adoption of DL.Originality/valueIn the Pakistani context, this study is the first attempt that examined the relationship of PI, the usability of DL and quality of digital resources with users’ satisfaction. Research model of this study can be used in future research. Also, this study extended the scope of theories of adoption towards DL.
Model calibration of locally nonlinear dynamical systems
Authors: Hu Xiaoyu , Chodora Evan , Prabhu Saurabh , Gupte Akshay , Atamturktur Sez 
Published: January 2019

PurposeThis paper aims to present an approach for calibrating the numerical models of dynamical systems that have spatially localized nonlinear components. The approach implements the extended constitutive relation error (ECRE) method using multi-harmonic coefficients and is conceived to separate the errors in the representation of the global, linear and local, nonlinear components of the dynamical system through a two-step process.Design/methodology/approachThe first step focuses on the system’s predominantly linear dynamic response under a low magnitude periodic excitation. In this step, the discrepancy between measured and predicted multi-harmonic coefficients is calculated in terms of residual energy. This residual energy is in turn used to spatially locate errors in the model, through which one can identify the erroneous model inputs which govern the linear behavior that need to be calibrated. The second step involves measuring the system’s nonlinear dynamic response under a high magnitude periodic excitation. In this step, the response measurements under both low and high magnitude excitation are used to iteratively calibrate the identified linear and nonlinear input parameters.FindingsWhen model error is present in both linear and nonlinear components, the proposed iterative combined multi-harmonic balance method (MHB)-ECRE calibration approach has shown superiority to the conventional MHB-ECRE method, while providing more reliable calibration results of the nonlinear parameter with less dependency ona prioriknowledge of the associated linear system.Originality/valueThis two-step process is advantageous as it reduces the confounding effects of the uncertain model parameters associated with the linear and locally nonlinear components of the system.
Top management team gender diversity and productivity: the role of board gender diversity
Authors: Luanglath Nalongded , Ali Muhammad , Mohannak Kavoos 
Published: January 2019

PurposeBased on the significance of context, the purpose of this paper is to investigate a positive top management team (TMT) gender diversity–productivity relationship derived from the upper echelons theory, and a moderating effect of board gender diversity on the TMT gender diversity–productivity relationship derived from the relational framework.Design/methodology/approachThe hypotheses were tested in 172 organisations listed on the Australian Securities Exchange. This research uses archival data from multiple secondary sources, with a one-year time lag between the predictor and outcome.FindingsThe findings indicate a positive effect of TMT gender diversity on employee productivity and a strong positive TMT gender diversity–employee productivity relationship in organisations with a low level of board gender diversity.Originality/valueThis study provides pioneering evidence for a positive effect of TMT gender diversity on employee productivity and for a moderating effect of board gender diversity.
It’s complicated: a multi-method approach to broadening participation in STEM
Authors: Hardcastle Valerie Gray , Furst-Holloway Stacie , Kallen Rachel , Jacquez Farrah 
Published: January 2019

PurposeA lot is known about systemic barriers to broadening participation (BP) in STEM. Empirical research has demonstrated the existence and impact of implicit bias, stereotype threat, and micro-aggressions on a sense of belonging, organizational productivity and leadership opportunities. We also know that achieving greater participation of women and faculty of color in the STEM disciplines is complicated and depends on altering complex and multi-layered interactions between activities and actors. Further, because researcher and institutional goals vary as a function of target population and context, generalizable models can struggle in the face of larger BP efforts. Through the authors experience as an NSF ADVANCE-IT awardee, the authors believe that a dynamic, multi-scaled and organizational level approach is required to reflect the reciprocal dialogue among research questions, best practices, tailored applications and quantifiable goals. The authors describe several examples of research, programming activities and program evaluation that illustrate this approach. In particular, the authors describe both the programming successes and challenges, with the aim of helping others to avoid common mistakes by articulating very broad and, the authors’ hope, generalizable “lessons learned.” The paper aims to discuss these issues.Design/methodology/approachTo better understand the barriers for women in STEM, the authors utilized an iterative methodology. Specifically, the authors conducted a social network analysis, an exit survey of departed faculty, longitudinal analysis of career trajectories and research productivity, and a survey on the interaction between values and climate.FindingsThe analyses suggest three strategies better retain women in STEM: improve women’s professional networks; re-aling policy documents and departmental practices to better reflect faculty values; and improve departmental climate.Practical implicationsThe pay-off for using this more complex research approach to triangulate onto specific challenges is that the interventions are more likely to be successful, with a longer-lasting impact.Originality/valueWith continuous institutional research, metric refinement, and program evaluation the authors are better able to develop targeted programming, policy reform, and changes in institutional practice. The interventions should result in permanent institutional and systemic change by integrating multi-method qualitative and quantitative research into BP practices, which the authors couple with longitudinal analysis that can quantify success of the authors’ efforts.