bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early-Generated Interneurons Regulate Neuronal Circuit Formation during Early Postnatal Development
Authors: Wang Chang-Zheng , Ma Jian , Jiang Shao-Na , Chen Tian-Qi , Xu Ye-Qian , Yuan Zu-Liang , Mao Xiao-Yi , Zhang Shu-Qing , Liu Lin-Yun , Fu Yinghui , Yu Yong-Chun 
Published: January 2019

AbstractA small subset of interneurons that are generated earliest as pioneer neurons are the first cohort of neurons that enter the neocortex. However, it remains largely unclear whether these early-generated interneurons (EGIns) predominantly regulate neocortical circuit formation. Using inducible genetic fate mapping to selectively labeled EGIns and pseudo-random interneurons (pRIns), we found that EGIns exhibited more mature electrophysiological and morphological properties and higher synaptic connectivity than pRIns at early postnatal stages. In addition, when stimulating one cell, the proportion of EGIns that influence spontaneous network synchronization is significantly higher than that of pRIns. Importantly, toxin-mediated ablation of EGIns after birth significantly reduce spontaneous network synchronization and decrease inhibitory synaptic transmission during the first postnatal week. These results suggest that EGIns can shape developing networks and may contribute to the refinement of neuronal connectivity before the establishment of the adult neuronal circuit.
Antagonistic coevolution between multiple quantitative traits: Matching dynamics can arise from difference interactions
Authors: Yamamichi Masato , Lyberger Kelsey , Patel Swati 
Published: January 2019

AbstractCoevolution is one of the major drivers of complex dynamics in population ecology. Historically, antagonistic coevolution in victim-exploiter systems has been a topic of special interest, and involves traits with various genetic architectures (e.g., the number of genes involved) and effects on interactions. For example, exploiters may need to have traits that “match” those of victims for successful exploitation (i.e., a matching interaction), or traits that exceed those of victims (i.e., a difference interaction). Different models exist which are appropriate for different types of traits, including Mendelian (discrete) and quantitative (continuous) traits. For models with multiple Mendelian traits, recent studies have shown that antagonistic coevolutionary patterns that appear as matching interactions can arise due to multiple difference interactions with costs of having large trait values. Here we generalize their findings to quantitative traits and show, analogously, that the multidimensional difference interactions with costs sometimes behave qualitatively the same as matching interactions. While previous studies in quantitative genetics have used the dichotomy between matching and difference frameworks to explore coevolutionary dynamics, we suggest that exploring multidimensional trait space is important to examine the generality of results obtained from one-dimensional traits.
Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization
Authors: Niida Atsushi , Hasegawa Takanori , Miyano Satoru 
Published: January 2019

AbstractAn essential step in the analysis of agent-based simulation is sensitivity analysis, which namely examines the dependency of parameter values on simulation results. Although a number of approaches have been proposed for sensitivity analysis, they still have limitations in exhaustivity and interpretability. In this study, we propose a novel methodology for sensitivity analysis of agent-based simulation, MASSIVE (Massively parallel Agent-based Simulations and Subsequent Interactive Visualization-based Exploration). MASSIVE takes a unique paradigm, which is completely different from those of sensitivity analysis methods developed so far, By combining massively parallel computation and interactive data visualization, MASSIVE enables us to inspect a broad parameter space intuitively. We demonstrated the utility of MASSIVE by its application to cancer evolution simulation, which successfully identified conditions that generate heterogeneous tumors. We believe that our approach would be a de facto standard for sensitivity analysis of agent-based simulation in an era of ever-growing computational technology. All the result form our MASSIVE analysis is available at https://www.hgc.jp/~niiyan/massive.
A novel defective recombinant porcine enterovirus G virus carrying a porcine torovirus papain-like cysteine protease gene and a putative anti-apoptosis gene in place of viral structural protein genes
Authors: Imai Ryo , Nagai Makoto , Sakaguchi Shoichi , Masuda Tsuneyuki , Kuroda Moegi , Oba Mami , Katayama Yukie , Naoi Yuki , Tsuchiaka Shinobu , Omatsu Tsutomu , Yamazato Hiroshi , Makino Shinji , Mizutani Tetsuya 
Published: January 2019

AbstractEnterovirus G (EV-G) belongs to the family of Picornaviridae. Two types of recombinant porcine EV-Gs carrying papain-like cysteine protease (PLCP) gene of porcine torovirus, a virus in Coronaviridae, are reported. Type 1 recombinant EV-Gs are detected in pig feces in Japan, USA, and Belgium and carry the PLPC gene at the junction site of 2C/3A genes, while PLPC gene replaces the viral structural genes in type 2 recombinant EV-G detected in pig feces in a Chinese farm. We identified a novel type 2 recombinant EV-G carrying the PLCP gene with flanking sequences in place of the viral structural genes in pig feces in Japan. The ~0.3 kb-long upstream flanking sequence had no sequence homology with any proteins deposited in GenBank, while the downstream ~0.9 kb-long flanking sequence included a domain having high amino acid sequence homology with a baculoviral inhibitor of apoptosis repeat superfamily. The pig feces, where the novel type 2 recombinant EV-G was detected, also carried type 1 recombinant EV-G. Although the phylogenetic analysis suggested that these two recombinant EV-Gs have independently evolved, type 1 recombinant EV-G might have served as a helper virus by providing viral structural proteins for dissemination of the type 2 recombinant EV-G.
The impacts of higher education institutions on sustainable development
Authors: Findler Florian , Schönherr Norma , Lozano Rodrigo , Reider Daniela , Martinuzzi André 
Published: January 2019

PurposeThis paper aims to conceptualize impacts of higher education institutions (HEIs) on sustainable development (SD), complementing previous literature reviews by broadening the perspective from what HEIs do in pursuit of SD to how these activities impact society, the environment and the economy.Design/methodology/approachThe paper provides a systematic literature review of peer-reviewed journal articles published between 2005 and 2017. Inductive content analysis was applied to identify major themes and impact areas addressed in the literature to develop a conceptual framework detailing the relationship between HEIs’ activities and their impacts on SD.FindingsThe paper identifies six impact areas where direct and indirect impacts of HEIs on SD may occur. The findings indicate a strong focus on case studies dealing with specific projects and a lack of studies analyzing impacts from a more holistic perspective.Practical implicationsThis systematic literature review enables decision-makers in HEIs, researchers and educators to better understand how their activities may affect society, the environment and the economy, and it provides a solid foundation to tackle these impacts.Social implicationsThe review highlights that HEIs have an inherent responsibility to make societies more sustainable. HEIs must embed SD into their systems while considering their impacts on society.Originality/valueThis paper provides a holistic conceptualization of HEIs’ impacts on SD. The conceptual framework can be useful for future research that attempts to analyze HEIs’ impacts on SD from a holistic perspective.
Global and local brand stereotypes: formation, content transfer, and impact
Authors: Davvetas Vasileios , Halkias Georgios 
Published: January 2019

PurposeThe dominant paradigm in international branding research treats perceived brand globalness (PBG) and localness (PBL) as attributes algebraically participating in brand assessment and disregards the perception of brands as humanlike entities actively embedded in consumers’ social environments. Challenging this view and drawing from stereotype theory, the purpose of this paper is to suggest that PBG/PBL trigger the categorization of products under the superordinate mental categories of global/local brands which carry distinct stereotypical content. Such content transfers to every individual product for which category membership is established and shapes brand responses.Design/methodology/approachOne experimental study (Study1,n=134) tests the process of global/local brand stereotype formation, identification and content transfer. Subsequently, two consumer surveys test the impact of brand stereotypes on brand approach/avoidance tendencies (Study2,n=328) and consumer–brand relationships (Study3,n=273). Data were analyzed with experimental techniques and structural equation modeling.FindingsThe findings suggest that upon categorization under the global or local brand class, individual brands are charged with the stereotypical content of the class. Global brands are predominantly stereotyped as competent while local brands are predominantly stereotyped as warm. Localness-induced warmth has uniformly positive effects, whereas globalness-induced competence acts as a double-edged sword which can both help and harm the brand.Originality/valueThis research contributes by proposing a novel conceptualization of global and local brands as groups of intentional marketplace agents stereotyped along their intentions and abilities, empirically establishing the process through which individual brands are assigned stereotypical judgments and demonstrating how these judgments impact critical brand outcomes and consumer–brand relationships.
Road segmentation of cross-modal remote sensing images using deep segmentation network and transfer learning
Authors: He Hao , Yang Dongfang , Wang Shicheng , Wang Shuyang , Liu Xing 
Published: January 2019

Purpose
The purpose of this paper is to study the road segmentation problem of cross-modal remote sensing images.

Design/methodology/approach
First, the baseline network based on the U-net is trained under a large-scale dataset of remote sensing imagery. Then, the cross-modal training data are used to fine-tune the first two convolutional layers of the pre-trained network to achieve the adaptation to the local features of the cross-modal data. For the cross-modal data of different band, an autoencoder is designed to achieve data conversion and local feature extraction.

Findings
The experimental results show the effectiveness and practicability of the proposed method. Compared with the ordinary method, the proposed method gets much better metrics.

Originality/value
The originality is the transfer learning strategy that fine-tunes the low-level layers for the cross-modal data application. The proposed method can achieve satisfied road segmentation with a small amount of cross-modal training data, so that is has a good application value. Still, for the similar application of cross-modal data, the idea provided by this paper is helpful.
Is there a bubble in the Swedish housing market?
Authors: Asal Maher 
Published: January 2019

PurposeThis paper aims to investigate the presence of a housing bubble using Swedish data from 1986Q1-2016Q4 by using various methods.Design/methodology/approachFirst, the authors use affordability indicators and asset-pricing approaches, including the price-to-income ratio, price-to-rent ratio and user cost, supplemented by a qualitative discussion of other factors affecting house prices. Second, the authors use cointegration techniques to compute the fundamental (or long-run) price, which is then compared with the actual price to test the degree of Sweden’s housing price bubble during the studied period. Third, they apply the univariate right-tailed unit root test procedure to capture bursting bubbles and to date-stamp bubbles.FindingsThe authors find evidence for rational housing bubbles with explosive behavioral components beginning in 2004. These bubbles do not continuously diverge but instead periodically revert to their fundamental value. However, the deviation is persistent, and without any policy correction, it takes decades for real house prices to return to equilibrium.Originality/valueThe policy implication is that monetary policy designed to contain mortgage demand and thereby prevent burst episodes in the housing market must address external imbalances, as revealed in real exchange rate undervaluation. It is unlikely that current policies will stop the rise of house prices, as the growth of mortgage credit, improvement in Sweden’s international competitiveness and the path of interest rates are much more important factors.
The weight of organizational factors on heuristics
Authors: Barberà-Mariné M. Glòria , Cannavacciuolo Lorella , Ippolito Adelaide , Ponsiglione Cristina , Zollo Giuseppe 
Published: January 2019

PurposeThe purpose of this paper is to investigate the influence of organizational factors on individual decision-making under conditions of uncertainty and time pressure. A method to assess the impact of individual and organizational factors on individual decisions is proposed and experimented in the context of triage decision-making process.Design/methodology/approachThe adopted methodology is based on the bias-variance decomposition formula. The method, usually applied to assess the predictive accuracy of heuristics, has been adjusted to discriminate between the impact of organizational and individual factors affecting heuristic processes. To test the methodology, 25 clinical scenarios have been designed and submitted, through simulations, to the triage nurses of two Spanish hospitals.FindingsNurses’ decisions are affected by organizational factors in certain task conditions, such as situations characterized by complete and coherent information. When relevant information is lacking and available information is not coherent, decision-makers base their assessments on their personal experience and gut feeling.Research limitations/implicationsDiscriminating between the influence of organizational factors and individual ones is the starting point for a more in-depth understanding of how organization can guide the decision process. Using simulations of clinical scenarios in field research does not allow for capturing the influence of some contextual factors, such as the nurses’ stress levels, on individual decisions. This issue will be addressed in further research.Practical implicationsBias and variance are useful measurements for detecting process improvement actions. A bias prevalence requires a re-design of organizational settings, whereas training would be preferred when variance prevails.Originality/valueThe main contribution of this work concerns the novel interpretation of bias and variance concepts to assess organizational factors’ influence on heuristic decision-making processes, taking into account the level of complexity of decision-related tasks.
The transglobal leadership-based strategy of MSMEs performance optimization of Malang Raya and the implementation of quality of work life
Authors: Hermawati Adya , Suhermin  , Puji Rahayu 
Published: January 2019

Purpose
The purpose of this paper is to examine the influence of transglobal leadership on quality of work-life, job involvement and its impact on the performance of micro, small and medium enterprises (MSMEs) employees throughout Malang Raya.

Design/methodology/approach
The population of the paper was all of MSME employees in Malang Raya and MSME developing in East Java regions, namely Sidoarjo, Pasuruan District, Pasuruan City, Kediri District, Jombang, Surabaya City, Blitar City and Blitar District. This paper uses GSCA for several reasons. First, it uses a structural model (involving several endogenous variables). Second, it involves unobservable variables that require a measurement model (variable measurement of the indicators). Third, it needs a comparative model testing that compares several groups of objects using the multigroup GSCA.

Findings
Transglobal leadership has a significant effect on quality of work life and job involvement in the five regions. It also has a significant effect on employee performance in the four regions, except Malang Regency. Quality of work life has a significant effect on job involvement in two regions, namely Malang City and Malang Regency, but not in the other three regions. Quality of work life and job involvement together has a significant effect on employee performance in all study sites.

Originality/value
These gaps motivate the researchers to comprehensively examine the relationship between QWL and employee performance, QWL and job involvement and job involvement and employee performance – these are the originality of the present study, in addition to different research locations. Small- and medium-sized enterprises (SMEs) in Malang are divided into three main groups, namely manufacturing business, merchandising business and service business.
Situating trust challenges of online trade
Authors: Engvall Tove 
Published: January 2019

Purpose
This paper aims to offer an improved understanding of trust challenges in online trade, providing examples of issues that should be addressed for a trustworthy online environment. It also aims to illustrate how records and recordkeeping can contribute in terms of enabling trust and accountability.

Design/methodology/approach
The paper is based on results from a self-ethnographic study of online trade (Engvall, 2017); the results are analyzed further. Kelton, Fleischmann and Wallace’s (2008) model for trust is used to gain a better understanding of the characteristics of the challenges and where they should be addressed.

Findings
This paper recognizes that there are different types of trust challenges at different levels – individual, between clients and businesses and at a societal level – that should be addressed at these levels in different ways.

Originality/value
This paper provides an understanding of trust challenges in the online environment.
Corporate life cycle, CSR, and dividend policy: empirical evidence of Indonesian listed firms
Authors: Trihermanto Febi , Nainggolan Yunieta Anny 
Published: January 2019

Purpose
This paper aims to examine the association between corporate social responsibility (CSR) and corporate life cycle as well as dividend policy in Indonesia.

Design/methodology/approach
The paper develops two hypotheses that are tested empirically through multivariate settings. The tests are conducted using a sample of 527 Indonesian listed firms and 923 Indonesian firm-year observations between 2008 and 2015.

Findings
The findings support the hypothesis that CSR expenses increase when firms enter the maturity stage of their life cycle. On the triple bottom line components of CSR, firms which invest on CSR economic are in their maturity stage of their life cycle. The evidence also suggests that firms’ social donation and charitable giving increase as firms become mature. Furthermore, the strong evidence supports the hypothesis that firms’ CSR expenses positively affect dividend policy. This finding is robust to the alternative measurement of dividend payout, additional firms’ characteristics and instrumental variable to address endogeneity.

Practical implications
For investors in Indonesian listed firms, it is more profitable to invest in socially responsible firms than socially irresponsible firms. For firms, the results imply that spending in CSR does not reduce performance, thus becoming attractive for investors.

Originality/value
To the best of the authors’ knowledge, there is thin literature investigating the relation between corporate life cycle, CSR, and dividend policy in emerging markets while it is important as it could encourage companies to integrate CSR into their business strategy and transparently disclose their CSR activities. Further, as previous research on these topics mainly conducted using the US data (Rakotomavo, 2012; Benlemlih, 2014; Hasan and Habib, 2017), which most of CSR disclosures are voluntary, this paper contributes to the existing literature by examining these topics in a country where CSR is mandatory by the law.
Productivity and credibility in industry equilibrium
Authors: Powell Michael 
Published: January 2019

AbstractI analyze a model of production in a competitive environment with heterogeneous firms. Efficient production requires individuals within the organization to take noncontractible actions for which rewards must be informally promised rather than contractually assured. The credibility of such promises originates from a firm's future competitive rents. In equilibrium, heterogeneous firms are heterogeneously constrained, and competitive rents are inefficiently concentrated at the top. I explore several policy and empirical implications of this result.
Genetics and extinction and the example of Isle Royale wolves
Authors: Hedrick P. W. , Robinson J. A. , Peterson R. O. , Vucetich J. A. 
Published: January 2019

AbstractGenetic factors have long been a concern in the extinction and viability of species with the short‐term effects focusing on inbreeding depression. Genetic rescue has been suggested as a means to overcome the detrimental effects of inbreeding depression. However, it has been difficult to document the genetic dynamics over time of genetic rescue, inbreeding depression and other genetic relationships in endangered species. We show here using a detailed pedigree and genomic data that genetic rescue in the gray wolfCanis lupuspopulation on Isle Royale had only a temporary positive effect reducing inbreeding depression and then the genetic changes from the immigration event resulted in a population decline and now imminent extinction of the population. Examining the genetic details of this situation shows how genetic dynamics after the initial positive effects of genetic rescue have passed can return a small population to a path toward extinction. Thus, the successful conservation of critically small populations would likely depend on alleviating the cause of having become critically small, such as habitat restoration, or periodic re‐application of genetic rescue in a manner that does not result in negative genetic dynamics.