bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aging Boosts Antiviral CD8+T Cell Memory Through Improved Engagement Of Diversified Recall Response Determinants
Authors: Davenport Bennett , Eberlein Jens , Nguyen Tom T. , Victorino Francisco , Jhun Kevin , Abuirqeba Haedar , van der Heide Verena , Heeger Peter , Homann Dirk 
Published: October 2018

ABSTRACTThe determinants of protective CD8+memory T cell (CD8+TM) immunity remain incompletely defined and may in fact constitute an evolving agency as aging CD8+TMprogressively acquire enhanced rather than impaired recall capacities. Here, we show that old as compared to young antiviral CD8+TMmore effectively harness disparate molecular processes (cytokine signaling, trafficking, effector functions, and co-stimulation/inhibition) that in concert confer greater secondary reactivity. The relative reliance on these pathways is contingent on the nature of the secondary challenge (greater for chronic than acute viral infections) and over time, aging CD8+TMre-establish a dependence on the same accessory signals required for effective priming of naïve CD8+T cells in the first place. Thus, our findings are consistent with the recently proposed “rebound model” that stipulates a gradual alignment of naïve and CD8+TMproperties, and identify a diversified collection of potential targets that may be exploited for the therapeutic modulation of CD8+TMimmunity.
Meta-analysis of Drought-tolerant Genotypes inOryza sativa: A Network-based Approach
Authors: Sircar Sanchari , Parekh Nita 
Published: October 2018

AbstractBackgroundDrought is a severe environmental stress. It is estimated that about 50% of the world rice production is affected mainly by drought. Apart from conventional breeding strategies to develop drought-tolerant crops, innovative computational approaches may provide insights into the underlying molecular mechanisms of stress response and identify drought-responsive markers. Here we propose a network-based computational approach involving a meta-analytic study of seven drought-tolerant rice genotypes under drought stress.ResultsCo-expression networks enable large-scale analysis of gene-pair associations and tightly coupled clusters that may represent coordinated biological processes. Considering differentially expressed genes in the co-expressed modules and supplementing external information such as, resistance/tolerance QTLs, transcription factors, network-based topological measures, we identify and prioritize drought-adaptive co-expressed gene modules and potential candidate genes. Using the candidate genes that are well-represented across the datasets as ‘seed’ genes, two drought-specific protein-protein interaction networks (PPINs) are constructed with up-and down-regulated genes. Cluster analysis of the up-regulated PPIN revealed ABA signaling pathway as a central process in drought response with a probable crosstalk with energy metabolic processes. Tightly coupled gene clusters representing up-regulation of core cellular respiratory processes and enhanced degradation of branched chain amino acids and cell wall metabolism are identified. Cluster analysis of down-regulated PPIN provides a snapshot of major processes associated with photosynthesis, growth, development and protein synthesis, most of which are shut down during drought. Differential regulation of phytohormones, e.g., jasmonic acid, cell wall metabolism, signaling and posttranslational modifications associated with biotic stress are elucidated. Functional characterization of topologically important, drought-responsive uncharacterized genes that may play a role in important processes such as ABA signaling, calcium signaling, photosynthesis and cell wall metabolism is discussed. Further transgenic studies on these genes may help in elucidating their biological role under stress conditions.ConclusionCurrently, a large number of resources for rice functional genomics exist which are mostly underutilized by the scientific community. In this study, a computational approach integrating information from various resources such as gene co-expression networks, protein-protein interactions and pathway-level information is proposed to provide a systems-level view of complex drought-responsive processes across the drought-tolerant genotypes.
Cortisol Predicts Antidepressant Treatment Outcome, Memory Improvement, and Brain Response to Negative Emotions: The Importance of Aging
Authors: Jain Felipe A. , Connolly Colm G. , Reus Victor I. , Meyerhoff Dieter J. , Yang Tony T. , Mellon Synthia H. , Mackin Scott , Hough Christina M. , Morford Alexandra , Epel Elissa S. , Wolkowitz Owen M. 
Published: October 2018

AbstractBackgroundStudies testing the relationship between cortisol levels, depression, and antidepressant treatment response have yielded divergent results suggesting the possibility of moderators of a cortisol effect. Several studies indicate that age may moderate the relationship between cortisol and psychopathology. In patients with Major Depressive Disorder (MDD), we studied the interactive effects of age and cortisol on predicting diagnostic status, improvement in mood and memory function with antidepressant treatment, and brain response to negative emotional stimuli.Methods66 unmedicated patients with MDD and 75 matched healthy controls had serum assayed at pre-treatment baseline for cortisol. Logistic regression was used to determine an association of age, cortisol and their interaction with MDD diagnosis. Thirty-four of the MDD participants (age range: 19-65 years; median: 36) underwent treatment with a selective serotonin reuptake inhibitor (SSRl) for 8 weeks. Clinician and self-ratings of depression symptoms, as well as tests of verbal and visual delayed recall were obtained at baseline and post treatment. Moderation analyses determined the effect of age on the relationship between baseline cortisol and treatment outcome. A separate sample of 8 MDD participants prospectively underwent fMRI neuroimaging and cortisol collection while viewing negative emotional faces.ResultsAge moderated the effects of cortisol on predicting MDD diagnosis (p<.05), treatment-associated reduction of depression symptoms (p<.001), improvement of delayed recall (p<.001), and baseline brain response to negative emotions (p<.05, whole brain corrected). Modeling the Age X Cortisol interaction suggested that for the participants below the median age of our sample, lower cortisol levels predicted a lower rate of MDD diagnosis, higher antidepressant effects and decreased brain reactivity in emotion regulation regions such as the anterior cingulate gyrus. On the contrary, in those above the median sample age, lower cortisol predicted a higher rate of MDD, less improvement in depression symptoms and memory performance, and more brain reactivity in the anterior cingulate.ConclusionsOur results indicate that age moderates the relationship between peripheral cortisol levels and (1) MDD diagnosis, (2) brain reactivity to emotional stimuli, and (3) antidepressant-associated improvement in depression and memory symptoms. These results indicate that previous disparities in the literature linking peripheral cortisol levels with depression characteristics and treatment response may critically relate, at least in part, to the age of the patients studied.
Bayesian reassessment of the epigenetic architecture of complex traits
Authors: Banos Daniel Trejo , McCartney Daniel L. , Battram Tom , Hemani Gibran , Walker Rosie M. , Morris Stewart W. , Zhang Qian , Porteous David J. , McRae Allan F. , Wray Naomi R. , Visscher Peter M. , Haley Chris S. , Evans Kathryn L. , Deary Ian J. , McIntosh Andrew M. , Marioni Riccardo E. , Robinson Matthew R. 
Published: October 2018

1AbstractEpigenetic DNA modification is partly under genetic control, and occurs in response to a wide range of environmental exposures. Linking epigenetic marks to clinical outcomes may provide greater insight into underlying molecular processes of disease, assist in the identification of therapeutic targets, and improve risk prediction. Here, we present a statistical approach, based on Bayesian inference, that estimates associations between disease risk and all measured epigenetic probes jointly, automatically controlling for both data structure (including cell-count effects, relatedness, and experimental batch effects) and correlations among probes. We benchmark our approach in simulation study, finding improved estimation of probe associations across a wide range of scenarios over existing approaches. Our method estimates the total proportion of disease risk captured by epigenetic probe variation, and when we applied it to measures of body mass index (BMI) and cigarette consumption behaviour in 5,101 individuals, we find that 66.7% (95% CI 60.0-72.8) of the variation in BMI and 67.7% (95% CI 58.4-76.9) of the variation in cigarette consumption can be captured by methylation array data from whole blood, independent of the variation explained by single nucleotide polymorphism markers. We find novel associations, with smoking behaviour associated with a methylation probe at the MNDA gene with >95% posterior inclusion probability, which is a myeloid cell nuclear differentiation antigen gene previously implicated as a biomarker for inflammation and non-Hodgkin lymphoma risk. We conduct unique genome-wide enrichment analyses, identifying blood cholesterol, lipid transport and sterol metabolism pathways for BMI, and response to xenobiotic stimulus and negative regulation of RNA polymerase II promoter transcription for smoking, all with >95% posterior inclusion probability of having methylation probes with associations >1.5 times larger than the average. Finally, we improve phenotypic prediction in two independent cohorts by 28.7% and 10.2% for BMI and smoking respectively over a LASSO model. These results imply that probe measures may capture large amounts of variance because they are likely a consequence of the phenotype rather than a cause. As a result, ‘omics’ data may enable accurate characterization of disease progression and identification of individuals who are on a path to disease. Our approach facilitates better understanding of the underlying epigenetic architecture of complex common disease and is applicable to any kind of genomics data.
I know that I don’t know: Structural and functional connectivity underlying meta-ignorance in pre-schoolers
Authors: Filevich Elisa , Forlim Caroline Garcia , Fehrman Carmen , Forster Carina , Paulus Markus , Shing Yee Lee , Kühn Simone 
Published: October 2018

Research Highlights[1] Children develop the ability to report that they do not know something at around five years of age.[2] Children who could correctly report their own ignorance in a partial-knowledge task showed thicker cortices within medial orbitofrontal cortex.[3] This region was functionally connected to parts of the default-mode network.[4] The default-mode network might support the development of correct metacognitive monitoring.AbstractMetacognition plays a pivotal role in human development. The ability to realize that we do not know something, or meta-ignorance, emerges after approximately five years of age. We aimed at identifying the brain systems that underlie the developmental emergence of this ability in a preschool sample.Twenty-four children aged between five and six years answered questions under three conditions of a meta-ignorance task twice. In the criticalpartial knowledgecondition, an experimenter first showed two toys to a child, then announced that she would place one of them in a box behind a screen, out of sight from the child. The experimenter then asked the child whether or not she knew which toy was in the box.Children who answered correctly both times to the metacognitive question in the partial knowledge condition (n=9) showed greater cortical thickness in a cluster within left medial orbitofrontal cortex than children who did not (n=15). Further, seed-based functional connectivity analyses of the brain during resting state revealed that this region is functionally connected to the medial orbitofrontal gyrus, posterior cingulate gyrus and precuneus, and mid- and inferior temporal gyri.This finding suggests that the default mode network, critically through its prefrontal regions, supports introspective processing. It leads to the emergence of metacognitive monitoring allowing children to explicitly report their own ignorance.
Corporate governance integration with sustainability: a systematic literature review
Authors: E-Vahdati Sahar , Zulkifli Norhayah , Zakaria Zarina 
Published: October 2018

PurposeThe purpose of this paper is to systematically review the literature on corporate governance and sustainability integration in identifying the main rigidity, infirmity and gaps in the current literature, and also to mention future research paths.Design/methodology/approachA systematic literature review of existing international papers is used through quantitative and qualitative approach by selecting 27 articles published in Scopus.FindingsThe review suggests although integration of governance into sustainability is interpreted differently in a geographical area, vision, mission and leadership are the most significant drivers of sustainability framework dealing corporate governance. Despite the limitation which is related to the choice of number and type of keywords and journals, outcomes and the interpretation, generalization and application of results, sustainability frameworks suggest a number of avenues for investors, policy makers and future market scenario which will increase the efficiency of companies.Research limitations/implicationsThis research uses limited number of reviews by the common features of Scopus search as previous studies. This review study reflects corporate governance to sustainability models and provides opportunities to researchers for a more in-depth investigation into the theoretical advancement and joint work of sustainability and corporate governance which better inform strategies and implementations of governmental structures.Originality/valueThis paper undertakes a significant thorough systematic review for sustainability integration with corporate governance literature. It gives a written work review and reference index from1995 to 2017, useful for both academics and professionals.
Construction projects as mechanisms for knowledge integration
Authors: Lindgren John , Emmitt Stephen , Widén Kristian 
Published: October 2018

PurposeThe purpose of this paper is to study knowledge integration (KI) when diffusing a systemic innovation. The objectives are to understand what mechanisms are used and when and what their effects are in terms of knowledge development.Design/methodology/approachThe method comprised a longitudinal case study which followed a firm’s attempts to develop and diffuse a timber multi-storey building system (the systemic innovation) over a number of projects.FindingsThe findings emphasize actual projects as the most crucial activity for KI and when and why soft personalization mechanisms and codified knowledge should be mixed. Furthermore, it shows how different types of knowledge are built-up including construction process effects over a series of projects.Research limitations/implicationsThe research contributes with knowledge about mechanisms for the diffusion of a specific systemic innovation type and provides input regarding mechanisms to use. The introduction of the concepts “domain-specific,” “procedural” and “general knowledge” into construction has increased understanding of innovation diffusion and knowledge flows and where and how they are integrated.Practical implicationsThe research shows how knowledge develops and through which mechanisms, and where problems occur. Construction organizations can learn from this to avoid mistakes and potentially better understand how to manage knowledge to diffuse a systemic innovation.Originality/valueThe research provides insight into systemic innovation diffusion over a series of projects and focuses on both projects and the construction process.
How applicable are conventional strategic marketing practices in emerging markets? An exploratory study in India
Authors: Brooksbank Roger , Subhan Zahed , Calderwood Richard John 
Published: October 2018

Purpose
Questions surrounding the uptake patterns and applicability of conventional strategic marketing practice (CSMP) within emerging markets remain largely unanswered. The purpose of this paper is to address some of these questions in India.

Design/methodology/approach
The usage patterns of conventional, developed world, basic strategic marketing practices within manufacturing firms in India – one of the world’s fastest growing emerging markets – are compared against the usage of the same practices among their counterparts operating in the highly developed market of the USA. The study is based on separate surveys conducted in each country. Data analyses are conducted using χ2 tests.

Findings
CSMPs are being quite widely adopted in India albeit to a lesser extent than in the USA. However, several notable areas of difference suggest that some practices might not be appropriate in emerging markets due to one or more of their unique and strategically relevant situational characteristics.

Research limitations/implications
Low response rates render questionable the extent to which the study samples can be considered representative of the populations under scrutiny. Equally, differences in the respondents’ interpretation of some of the marketing terminology used in the questionnaire cannot be ruled out.

Practical implications
The research confirms that Indian marketing strategists appear to judge many conventional practices to be appropriate within an emerging market environment. However, it also casts doubt on the relevance of at least eleven specific practices.

Originality/value
The study provides a useful starting point for better understanding the adoption patterns and applicability of conventional strategic marketing within a uniquely interesting cross-cultural context that has attracted little academic attention to date.
Information technology and profitability: evidence from Indian banking sector
Authors: Gupta Sangita Dutta , Raychaudhuri Ajitava , Haldar Sushil Kumar 
Published: October 2018

Purpose
Information Technology has transformed the banking sector with respect to various systems and processes. Banks have adopted various measures to quicken their business activity and also save cost and time. That is why there has been large requirement of IT in the banking sector. The question arises whether this investment is enhancing the profitability of the bank or not. The purpose of this paper is to examine the presence of profitability paradox in Indian Banking Sector.

Design/methodology/approach
Data are collected from ten nationalized banks and three private sector banks from 2006 to 2013. The impact of IT expenditure on return on assets and profit efficiency is examined. Profit efficiency is determined using Stochastic Frontier Analysis. Data are collected from annual reports of the banks. Data on IT expenditure are collected through Right to Information Act 2005. Correlation and Panel Regression are used to investigate the relationship between IT expenditure and ROE or Profit Efficiency.

Findings
The findings of the paper confirm the presence of profitability paradox in the Indian Banking sector.

Research limitations/implications
Extension of this study to other developing countries of the world will help to identify if any common pattern is there among the developing countries as far as productivity or profitability paradox is concerned.

Originality/value
There are some studies on the impact of IT on the banking sector in USA and Europe. This type of study however is rare in the context of India or for that matter other developing countries. Therefore, this paper will add new dimension to the existing literature and pave the way for future research in this area.
Relational capability and strategic alliance portfolio configuration
Authors: Rezende da Costa Priscila , Silva Braga Junior Sergio , Silveira Porto Geciane , Martinez Marta Pagán 
Published: October 2018

PurposeThe purpose of this paper is to focus on evaluating relational capability regarding the configuration of a network of technological partners in Brazilian technology-based firms (TBFs).Design/methodology/approachThe data were collected using an online questionnaire made available to technology-based companies resident in Brazilian Technological Parks. A total of 73 companies responded. The data were analyzed using bivariate and multivariate statistical techniques and were processed using Statistical Package for Social Sciences software. The statistical tests included factor analysis, Cronbach’sαand multiple regression.FindingsThe paper shows that the strategic alliance portfolio is influenced by organizational learning, diversity of partners, governance structure, intensity of partnership relations and configuration. In particular, the portfolio of alliances with competence orientation is characterized by tacit knowledge exchanges and learning exploration, homogeneity of partners, informal governance mechanisms, strong bonds of trust and reciprocity with partners and low diversification of actors’ profiles, their attributions and the results obtained in the portfolio. Meanwhile, the characteristics of alliance portfolios with legitimacy orientation include explicit knowledge exchange and learning exploitation, heterogeneity of partners, formal governance mechanisms, weak bonds of trust and reciprocity with partners and high diversification of the profile of the actors, their attributions and the results obtained from the portfolio.Practical implicationsThe configuration of the alliance portfolio plays an important role in innovation. To stimulate the creation of new technological skills, the executive of a technology-based company from emerging countries such as China, Russia and India, can configure the portfolio of strategic alliances with more homogeneous partners in terms of profile and attribution. However, if this executive is challenged to seek legitimacy and complementary resources in these markets he can invest in the diversification of the strategic alliance portfolio, prioritizing partners with differentiated profiles and attributions.Originality/valueThe originality of the research lies in the adoption of a complementary and multidimensional theoretical prism, considering the relational capacity of TBFs in the configuration of alliances, both in the intra-firm and portfolio perspective. Furthermore, it was considered that the configuration of alliances can be based on both competence and legitimacy factors.
Bank lending channel and banking sector efficiency: panel data of Egypt
Authors: Shokr Mohamed Aseel , Al-Gasaymeh Anwar 
Published: October 2018

Purpose
The purpose of this paper is to examine the relevance of the bank lending channel (BLC) of monetary policy and the bank efficiency in Egypt.

Design/methodology/approach
This paper examines the effectiveness of bank lending channel using generalized method of moments GMM model during the period from 1996 to 2014. Also, it uses stochastic frontier approach (SFA) to examine the bank efficiency in Egypt.

Findings
This study supports the relevance of the BLC using panel data. Moreover, applying SFA, this paper computes cost efficiency taking account of both time and country effects directly. The finding suggests that banks with low inflation and high GDP tend to perform more efficiently.

Research limitations/implications
The limitation of the study is examining one country only.

Practical implications
The finding signals that the Central Bank of Egypt (CBE) should adjust interest rate in order to stabilize the bank loan supply.

Social implications
It is important for the CBE and Egyptian banks because it highlights the importance of BLC.

Originality/value
It examines one channel of monetary policy and bank efficiency in Egypt.