bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crowdsourcing Machine Intelligence Solutions to Accelerate Biomedical Science: Lessons learned from a machine intelligence ideation contest to improve the prediction of 3D domain swapping
Authors: Shah Yash , Sharma Deepak , Sharma Rakesh , Singh Sourav , Thakur Hrishikesh , John William , Marakkar Shamsudheen , Suravajhala Prashanth , Sundararajan Vijayaraghava Seshadri , Valadi Jayaraman , Shameer Khader , Sowdhamini Ramanathan 
Published: July 2020

AbstractMachine intelligence methods, including natural language processing, computer vision, machine vision, artificial intelligence, and deep learning approaches, are rapidly evolving and play an essential role in biomedicine. Machine intelligence methods could help to accelerate image analyses aid in building complex models capable of interpretation beyond cognitive limitations and statistical assumptions in biomedicine. However, irrespective of the democratization via accessible computing and software modules, machine intelligence handiness is scarce in the setting of a traditional biomedical research laboratory. In such a context, collaborations with bioinformatics and computational biologists may help. Further, the biomedical diaspora could also seek help from the expert communities using a crowdsourcing website that hosts machine intelligence competitions. Machine intelligence competitions offer a vast pool of seasoned data scientists and machine intelligence experts to develop solutions through competition portals. An alternate approach to improve the adoption of machine intelligence in biomedicine is to offer machine intelligence competitions as part of scientific meetings. In this paper, we discuss a structured methodology employed to develop the machine intelligence competition as part of an international bioinformatics conference. The competition leads to developing a novel method through crowdsourcing to solve a challenging problem in biomedicine – predicting probabilities of proteins that undergo 3D domain swapping. As a biomedical science conference focused on computational methods, the competition received multiple entries that ultimately helped improve the predictive modeling of 3D domain swapping using sequence information.
Enhancers with cooperative Notch binding sites are more resistant to regulation by the Hairless co-repressor
Authors: Kuang Yi , Pyo Anna , Eafergan Natanel , Cain Brittany , Gutzwiller Lisa M. , Axelrod Ofri , Gagliani Ellen K. , Weirauch Matthew T. , Kopan Raphael , Kovall Rhett A. , Sprinzak David , Gebelein Brian 
Published: July 2020

AbstractNotch signaling controls many developmental processes by regulating gene expression. Notch-dependent enhancers recruit activation complexes consisting of the Notch intracellular domain, theCbf/Su(H)/Lag1 (CSL) transcription factor (TF), and the Mastermind co-factor via two types of DNA sites: monomeric CSL sites and cooperative dimer sites calledSu(H)pairedsites (SPS). Intriguingly, the CSL TF can also bind co-repressors to negatively regulate transcription via these same sites. Here, we tested how enhancers with monomeric CSL sites versus dimeric SPSs bindDrosophilaSu(H) complexesin vitroand mediate transcriptional outcomesin vivo. Our findings reveal that while the Su(H)/Hairless co-repressor complex similarly binds SPS and CSL sites in an additive manner, the Notch activation complex binds SPSs, but not CSL sites, in a cooperative manner. Moreover, transgenic reporters with SPSs mediate stronger, more consistent transcription and are more resistant to increased Hairless co-repressor expression compared to reporters with the same number of CSL sites. These findings support a model in which SPS containing enhancers preferentially recruit cooperative Notch activation complexes over Hairless repression complexes to ensure consistent target gene activation.
Cyanate – a low abundant but actively cycled nitrogen compound in soil
Authors: Mooshammer M. , Wanek W. , Jones S. H. , Richter A. , Wagner M. 
Published: July 2020

AbstractCyanate (NCO-) can serve as a nitrogen and/or carbon source for different microorganisms and even additionally as an energy source for autotrophic ammonia oxidizers. Despite the widely distributed genetic potential for direct cyanate utilization among bacteria, archaea and fungi, the availability and environmental significance of cyanate is largely unknown, especially in terrestrial ecosystems. We found relatively low concentrations of soil cyanate, but its turnover was rapid. Contrary to our expectations, cyanate consumption was clearly dominated by biotic processes, and, notably, cyanate was producedin-situat rates similar to that of cyanate formation from urea fertilizer, which is believed to be one of the major sources of cyanate in the environment. Our study provides evidence that cyanate is actively turned over in soils and represents a small but continuous nitrogen/energy source for soil microbes, potentially contributing to a selective advantage of microorganisms capable of direct cyanate utilization.One-sentence summaryCyanate represents a small but continuously available nitrogen source for soil microbes, contributing to a selective advantage of microorganisms capable of direct cyanate utilization.
Individual identification of Japanese macaques(Macaca fuscata)using a face recognition system and a limited number of learning images
Authors: Otani Yosuke , Ogawa Hitoshi 
Published: July 2020

AbstractIndividual identification is an important technique in animal research that requires researcher training and specialized skillsets. Face recognition systems using artificial intelligence (AI) deep learning have been put into practical use to identify in humans and animals, but a large number of annotated learning images are required for system construction. In wildlife research cases, it is difficult to prepare a large amount of learning images, which may be why systems using AI have not been widely used in field research. To investigate the development of a system that identifies individuals using a small number of learning images, we constructed a system to identify individual Japanese macaques(Macaca fuscata yakui)with a low error rate from an average of 20 images per individual. The characteristics of this system were augmentation of data, simultaneous determination by four individual identification models and identification from a majority of five frames to ensure reliability. This technology has a high degree of utility for various stakeholders and it is expected that it will advance the development of individual identification systems by AI that can be widely used in field research.
Political connections and banking performance: the moderating effect of gender diversity
Authors: Proença Catarina , Augusto Mário , Murteira José 
Published: July 2020

Purpose
This study aims to investigate the role of board gender diversity in explaining the effects of board members’ political connections on banking performance in the Eurozone.

Design/methodology/approach
This paper analyses panel data on 83 banks supervised by the European Central Bank (ECB) for the period 2013–2017, using a generalized moment method-type estimation methodology.

Findings
Results suggest that when gender diversity is high, there is a U-shaped nonlinear relationship between political connections and banking performance. Empirical evidence also indicates that differentiating characteristics of women, such as greater ethical concern and risk aversion, help mitigate the negative effects of political connections on banking performance, safeguarding the institutions’ interests from the adverse effects of personal agendas. In addition, these results also suggest that a minimum of 14% of gender diversity can contribute to greater social justice and beneficial structural change.

Research limitations/implications
The period studied may not yet fully reflect the impact of the assessment of the board members’ suitability.

Practical implications
The paper contributes to the growing literature on political connections and gender diversity, providing greater insight into their role as determinants of banking performance. The study also suggests the benefits and possible limitations of the regulator’s two impositions – gender diversity quotas and members’ repute (members’ political connections).

Originality/value
The effect of gender diversity on the impact of board members’ political connections on banking performance has not been studied, as these relationships have not been analysed separately for banks directly supervised by the ECB.
The association between independent directors and company value. Confronting evidence from two emerging markets
Authors: Aluchna Maria , Mahadeo Jyoti Devi , Kamiński Bogumił 
Published: July 2020

PurposeThe purpose of the paper is to advance the understanding of the links between the presence of independent directors (IDs) on boards and the company value in the specific context of concentrated ownership. The authors apply the framework of agency theory to identify the monitoring effect of IDs in two legal systems – common law and civil law.Design/methodology/approachThe authors test formulated hypotheses using a unique sample of 50 Mauritian and Polish companies listed during the years 2007 to 2015, amounting to a total of 394 observations adopting the fixed effect panel model.FindingsThe results of the panel model show a negative relationship between independent directors on boards and company value. Specifically, the effect remains negative for companies operating in the civil law system, whereas the stronger protection offered by common law offsets the effect of concentrated ownership, resulting in a non-correlation between independent directors on board and firm value.Originality/valueThis study expands the understanding of the value added by independent directors, addressing their monitoring role in the unfavorable context of concentrated ownership. It also reveals that different legal frameworks of civil law and common law may impact the monitoring performed by independent directors.
Developing a framework for evaluating sustainability index for logistics service providers: graph theory matrix approach
Authors: Gupta Anchal , Singh Rajesh Kumar 
Published: July 2020

PurposeThe purpose of this study is to identify sustainability practices and to propose a framework for evaluating the sustainability index of logistics service providers (LSPs).Design/methodology/approachSustainable practices followed by LSPs are identified through literature review and analysis of a case study. Thirteen such sustainable practices are identified. Thereafter, with expert inputs, nine sustainable practices are shortlisted and considered for the evaluation of the sustainability index in the proposed framework. Graph Theory Matrix Approach has been applied to evaluate the sustainability index of an LSP.FindingsMajor practices identified for evaluating sustainability index include the use of recyclable packaging, use of renewable energy sources, green procurement, reduction in carbon emissions, use of CNG/electric vehicles, rainwater harvesting and so on. The sustainability index of an LSP is evaluated by using the proposed framework.Practical implicationsLSPs can benchmark their sustainability index with respect to the best in the industry. Based on it, LSPs can also identify potential areas for improvement.Originality/valueNovelty of the study lies in the proposed framework for evaluation of sustainability index which can be used to develop strategies for green logistics. LSPs can also improve their performance in terms of sustainability measures by adopting green logistics.
The effect of information technology assimilation on firm performance in B2B scenarios
Authors: Martínez-Caro Eva , Cepeda-Carrión Gabriel , Cegarra-Navarro Juan G. , Garcia-Perez Alexeis 
Published: July 2020

PurposeThe spread of the Internet in the business world has led to the development of new business-to-business (B2B) settings. Although a large number of companies have adopted B2B strategies, many of these fail to implement such strategies effectively. The most common barriers encompass the technology assimilation by users. This study investigates how IT assimilation can encourage potential and realised absorptive capacity and how these can, in turn, facilitate organisational agility and performance.Design/methodology/approachA survey was conducted in Spanish companies that make use of Editran, a platform to support B2B strategies. In total, 110 valid responses were obtained. Advanced analytical methods of PLS-SEM as fit measures and prediction procedure recently developed by Shmueliet al.(2019) were used.FindingsThe results show that there is a positive relationship between the three preceding constructs (IT assimilation, potential and realised absorptive capacity) and organisational agility. This study also finds support for a direct relationship between organisational agility and firm performance.Originality/valueThis study provides a further understanding and forecasting through the theoretical development and empirical investigation of the role of IT assimilation on firm performance in a B2B scenario by: (1) examining the link between IT and the firm's absorptive capacity and, more specifically, with the two subsets of potential and realised absorptive capacity, which have not received much attention from previous literature; and (2) exploring how an improvement in potential and realised absorptive capacity may place firms in a better position to develop their organisational agility.
Post-merger branding strategies and market power in the Brazilian brewing industry
Authors: Cerqueira Malú N.P.S. , Aguiar Danilo R.D. , Figueiredo Adelson Martins 
Published: July 2020

PurposeThe purpose of this paper is to investigate firm strategies and the exertion of market power in the brewing sector in Brazil following a merger between the two largest brewers (Brahma and Antarctica) that created Ambev and given that the existing literature is inconclusive on this subjectDesign/methodology/approachIn this study the authors apply cointegration analysis to price series of beer brands. The authors use the reduced form vector error correction (VEC) model to measure the price responses of beer brands in terms of direction, magnitude and speed. The authors use monthly retail prices for the primary brands of beer in the city of São Paulo, Brazil's largest consumer market. Specifically, the authors use two sets of retail prices, one from bars (the main point of beer sales, with roughly 50% of market share) and another from supermarkets. The series range from 1994 to 2014, depending on the brand.FindingsThis study indicates that Ambev's two major brands (Skol and Brahma) behave as market leaders, while its third brand (Antarctica) has been used to challenge the low-price competitor (Nova Schin). The authors also found evidence that the pricing policies of Brahma and Antarctica have changed toward cooperation following the creation of Ambev.Research limitations/implicationsThe main limitation of this article is that the authors only had access to retailer data. As the merger involved brewers, the authors would ideally use manufacturer beer prices in their econometric analysis. However, the consistency of our results suggests that retailers have been passively transmitting brand strategies launched at a manufacturer level.Social implicationsAs the dominant firm created following the merger of the two largest brewers appears to use one of its brand to restrict entry of competitors and the premium brands to enjoy high profits, consumers tend to be harmed by high beer prices and lack of options. Furthermore, small and medium-size companies cannot grow due to entry barriers created by the dominant firm.Originality/valueThis paper is the first to apply cointegration analysis to examine the effect of mergers on pricing strategies. The robustness of this study suggests that this approach could be used for antitrust agencies to monitor post-merger strategies.
Integrating the voluntary sector in personalised care: mixed methods study of the outcomes from wellbeing co-ordination for adults with complex needs
Authors: Gradinger Felix , Elston Julian , Asthana Sheena , Myers Chloe , Wroe Sue , Byng Richard 
Published: July 2020

PurposeThis integrated care study seeks to highlight how voluntary sector “wellbeing co-ordinators” co-located in a horizontally and vertically integrated, multidisciplinary community hub within one locality of an Integrated Care Organisation contribute to complex, person-centred, co-ordinated care.Design/methodology/approachThis is a naturalistic, mixed method and mixed data study. It is complementing a before-and-after study with a sub-group analysis of people receiving input from the wider hub (including Wellbeing Co-ordination and Enhanced Intermediate Care), qualitative case studies, interviews, and observations co-produced with embedded researchers-in-residence.FindingsThe cross-case analysis uses trajectories and outcome patterns across six client groups to illustrate the bio-psycho-social complexity of each group across the life course, corresponding with the range of inputs offered by the hub.Research limitations/implicationsTo consider the effectiveness and mechanisms of complex system-wide interventions operating at horizontal and vertical interfaces and researching this applying co-produced, embedded, naturalistic and mixed methods approaches.Practical implicationsHow a bio-psycho-social approach by a wellbeing co-ordinator can contribute to improved person reported outcomes from a range of preventive, rehabilitation, palliative care and bereavement services in the community.Social implicationsTo combine knowledge about individuals held in the community to align the respective inputs, and expectations about outcomes while considering networked pathways based on functional status, above diagnostic pathways, and along a life-continuum.Originality/valueThe hub as a whole seems to (1) Enhance engagement through relationship, trust and activation, (2) Exchanging knowledge to co-create a shared bio-psycho-social understanding of each individual’s situation and goals, (3) Personalising care planning by utilising the range of available resources to ensure needs are met, and (4) Enhancing co-ordination and ongoing care through multi-disciplinary working between practitioners, across teams and sectors.
A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem
Authors: Kumar Vimal , Lai Kuei-Kuei , Chang Yu-Hsin , Bhatt Priyanka Chand , Su Fang-Pei 
Published: July 2020

Purpose
The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology.

Design/methodology/approach
This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory.

Findings
Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services.

Originality/value
The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.
External knowledge search and firms’ incremental innovation capability: the joint moderating effect of technological proximity and network embeddedness
Authors: Shi Xiaoxiao , Zheng Zuolong , Zhang Qingpu , Liang Huakang 
Published: July 2020

PurposeThis paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles of the relatedness between the partners’ technological bases and a firm’s network embeddedness in the innovation network.Design/methodology/approachIn this empirical research, the authors collected a sample of patents in the UAV industry over the period of 2004–2018. Then the authors examined the direct role of external knowledge search on firms’ incremental innovation capability and the joint moderating effects of technological proximity and network embeddedness.FindingsWe found that external knowledge search in innovation networks positively affects firms’ incremental innovation capability. Moreover, we discovered that high technological proximity to other peers positively strengthens the impact of firms’ external knowledge search on their incremental innovation capability. Finally, the findings suggested that the relationship between a firm’s external knowledge search activities and its incremental innovation capability is stronger for high technological proximity coupled with high network centrality or poor structural holes in innovation networks.Originality/valueThis study adds value to open innovation literature by pointing out a positive relationship between external knowledge search and firm incremental innovation capability. Furthermore, this study reinforces the key joint contingent roles of technological proximity and network embeddedness. This study provides a valuable theoretical framework of incremental innovation capability determinants by connecting the different perspectives.
Impact of environmental performance and policy on firm environmental reputation
Authors: De Miguel De Blas Marta 
Published: July 2020

PurposeThis study investigates the impact of corporate environmentalism on corporate environmental reputation. Corporate environmentalism comprises both environmental performance and environmental policy, thus distinguishing a firm's actual environmental performance from the intent of its environmental policy. The moderating effect of advertising is also investigated.Design/methodology/approachThe study derives four hypotheses from the literature and tests these by means of a Tobit model and a unique combination of databases.FindingsResults show a link between environmental policy and corporate environmental reputation, but not between environmental performance and corporate environmental reputation. Additionally, results reveal the moderating effect of advertising to be negative, suggesting that advertising contributes only marginally toward improving corporate environmental reputation.Originality/valueThis study is one of the first to investigate the complementary effect of environmental management, environmental policy and advertising on corporate reputation.