bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brain-based ranking of cognitive domains to predict schizophrenia
Authors: Karrer Teresa M. , Bassett Danielle S. , Derntl Birgit , Gruber Oliver , Aleman André , Jardri Renaud , Laird Angela R. , Fox Peter T. , Eickhoff Simon B. , Grisel Olivier , Varoquaux Gaël , Thirion Bertrand , Bzdok Danilo 
Published: August 2018

AbstractSchizophrenia is a devastating brain disorder that disturbs sensory perception, motor action, and abstract thought. Its clinical phenotype implies dysfunction of various mental domains, which has motivated a series of theories regarding the underlying pathophysiology. Aiming at a predictive benchmark of a catalogue of cognitive functions, we developed a bottom-up machine-learning strategy and provide a proof of principle in a multi-site clinical dataset (n=324). Existing neuroscientific knowledge on diverse cognitive domains was first condensed into neuro-topographical maps. We then examined how the ensuing meta-analytic cognitive priors can distinguish patients and controls using brain morphology and intrinsic functional connectivity. Some affected cognitive domains supported well-studied directions of research on auditory evaluation and social cognition. However, rarely suspected cognitive domains also emerged as disease-relevant, including self-oriented processing of bodily sensations in gustation and pain. Such algorithmic charting of the cognitive landscape can be used to make targeted recommendations for future mental health research.
Connecting natural and artificial neural networks in functional brain imaging using structured sparsity
Authors: Cox Christopher R. , Rogers Timothy T. 
Published: August 2018

ABSTRACTArtificial neural network models have long proven useful for understanding healthy, disordered, and developing cognition, but this work has often proceeded with little connection to functional brain imaging. We consider how analysis of functional brain imaging data is best approached if the representational assumptions embodied by neural networks are valid. Using a simple model to generate synthetic data, we show that four contemporary methods each have critical and complementary blind-spots for detecting distributed signal. The pattern suggests a new approach based on structured sparsity that, in simulation, retains the strengths of each method while avoiding its weaknesses. When applied to functional magnetic resonance imaging data the new approach reveals extensive distributed signal missed by the other methods, suggesting radically different conclusions about how brains encode cognitive information in the well-studied domain of visual face perception.
Quantifying the potential for future gene therapy to lower lifetime risk of polygenic late-onset diseases
Authors: Oliynyk Roman Teo 
Published: August 2018

ABSTRACTBackgroundWithin the next few decades, gene therapy techniques and genetic knowledge may sufficiently advance to support prophylactic gene therapy to prevent polygenic late-onset diseases. A combination of a large number of common low effect gene variants offers the most likely explanation for the heritability of the majority of these diseases, and their risk may be lowered by correcting the effect of a subset of such gene variants.MethodsComputer simulations quantified the correlation between the aging process, polygenic risk score, and hazard ratio change with age, using as inputs clinical incidence rates and familial heritability, and estimated the outcomes of hypothetical future prophylactic gene therapy on the lifetime risk and age of onset for eight highly prevalent late-onset diseases.ResultsThe simulation results confirmed that gene therapy would be beneficial in both delaying the age of onset and lowering the lifetime risk of the analyzed lateonset diseases. Longer life expectancy is associated with a higher lifetime risk of these diseases, and this tendency, while delayed, will continue after the therapy.ConclusionsWhen the gene therapy as hypothesized here becomes possible, and if the incidences of the treated diseases follow the proportional hazards model with multiplicative genetic architecture composed of a sufficient number of common small effect gene variants, then (a) late-onset diseases with the highest familial heritability will have the largest number of variants available for editing, (b) diseases that currently have the highest lifetime risk, and particularly those with the highest incidence rate continuing into older ages, will prove the most challenging cases in which to lower lifetime risk and delay the age of onset at the populational level, and (c) diseases that are characterized by the lowest lifetime risk will show the strongest and longest-lasting response to such therapy.
Hierarchical composition of reliable recombinase logic devices
Authors: Guiziou Sarah , Mayonove Pauline , Bonnet Jerome 
Published: August 2018

AbstractWe provide a systematic framework for engineering reliable recombinase logic devices by hierarchical composition of well-characterized, optimized recombinase switches. We apply this framework to build a recombinase logic device family supporting up to 4-input Boolean logic. This work will support the predictable engineering of several classes of recombinase devices to reliably control cellular behavior.
Identification of meteorological factors affecting migration of wild birds into miyazaki and its relation to circulation of highly pathogenic avian influenza virus
Authors: Arikawa Genki , Abe Maiku , Ngan Mai Thi , Mitoma Shuya , Notsu Kosuke , Huyen Nguyen Thi , Elhanafy Eslam , Daous Hala El , Kabali Emmanuel , Norimine Junzo , Sekiguchi Satoshi 
Published: August 2018

AbstractAim of our study is to establish models for predicting the number of migratory wild birds based on the meteorological data. From 136 species of wild birds, which have been observed at Futatsudate in Miyazaki, Japan, from 2008 to 2016, we selected the potential high-risk species, which can introduce highly pathogenic avian influenza (HPAI) virus into Miyazaki; we defined them as “risky birds”. We then performed regression analysis to model the relationship between the number of risky birds and meteorological data. We selected 10 wild bird species as risky birds: Mallard (Anas platyrhynchos), Northern pintail (Anas acuta), Eurasian wigeon (Anas penelope), Eurasian teal (Anas crecca), Common pochard (Aythya ferina), Eurasian coot (Fulica atra), Northern shoveler (Anas clypeata), Common shelduck (Tadorna tadorna), Tufted duck (Aythya fuligula), and Herring gull (Larus argentatus). We succeeded in identifying five meteorological factors associated with their migration: station pressure, mean value of global solar radiation, minimum of daily maximum temperature, days with thundering, and days with daily hours of daylight under 0.1 h. We could establish some models for predicting the number of risky birds based only on the published meteorological data, without manual counting. Dynamics of migratory wild birds has relevance to the risk of HPAI outbreak, so our data could contribute to save the cost and time in strengthening preventive measures against the epidemics.
PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison
Authors: Monnin Pierre , Legrand Jöel , Husson Graziella , Ringot Patrice , Tchechmedjiev Andon , Jonquet Clément , Napoli Amedeo , Coulet Adrien 
Published: August 2018

AbstractBackgroundPharmacogenomics (PGx) studies how genomic variations impact variations in drug response phenotypes. Knowledge in pharmacogenomics is typically composed of units that have the form of ternary relationships gene variant – drug – adverse event. Such a relationship states that an adverse event may occur for patients having the specified gene variant and being exposed to the specified drug. State-of-the-art knowledge in PGx is mainly available in reference databases such as PharmGKB and reported in scientific biomedical literature. But, PGx knowledge can also be discovered from clinical data, such as Electronic Health Records (EHRs), and in this case, may either correspond to new knowledge or confirm state-of-the-art knowledge that lacks “clinical counterpart” or validation. For this reason, there is a need for automatic comparison of knowledge units from distinct sources.ResultsIn this article, we propose an approach, based on Semantic Web technologies, to represent and compare PGx knowledge units. To this end, we developed PGxO, a simple ontology that represents PGx knowledge units and their components. Combined with PROV-O, an ontology developed by the W3C to represent provenance information, PGxO enables encoding and associating provenance information to PGx relationships. Additionally, we introduce a set of rules to reconcile PGx knowledge, i.e. to identify when two relationships, potentially expressed using different vocabularies and levels of granularity, refer to the same, or to different knowledge units. We evaluated our ontology and rules by populating PGxO with knowledge units extracted from PharmGKB (2,701), the literature (65,720) and from discoveries reported in EHR analysis studies (only 10, manually extracted); and by testing their similarity. We called PGxLOD (PGx Linked Open Data) the resulting knowledge base that represents and reconciles knowledge units of those various origins.ConclusionsThe proposed ontology and reconciliation rules constitute a first step toward a more complete framework for knowledge comparison in PGx. In this direction, the experimental instantiation of PGxO, named PGxLOD, illustrates the ability and difficulties of reconciling various existing knowledge sources.
Cargo diffusion shortens single-kinesin runs at low viscous drag
Authors: Wilson John O. , Quint David A. , Gopinathan Ajay , Xu Jing 
Published: August 2018

AbstractMolecular motors are mechanoenzymes that actively drive long-range transport in cells. Thermal diffusion of the cargo can result in mechanical load on the motor carrying the cargo; the direction of this diffusion-based load is not correlated with motor motion. Recent single molecule-based experiments highlighted a strong asymmetric dependence of the run length of the single kinesin-1 motor on load direction, raising the intriguing possibility that thermal diffusion of the cargo may non-trivially influence the run length of the motor carrying the cargo. To test this possibility, here we employed Monte Carlo-based stochastic simulations to evaluate the transport of single-kinesin cargos over a large parameter space of physiologically relevant solution viscosities, cargo sizes, and motor velocities. Our simulations uncovered a previously unexplored, significant shortening effect of cargo diffusion on single-kinesin run length. This effect is non-monotonically influenced by viscous drag force on the cargo, which biases the effect of cargo diffusion toward the hindering direction. The non-monotonic variation of cargo run length with drag force is the direct result of the asymmetric response of kinesin’s run length to load direction. Our findings may be important for understanding the diverse characteristics of cargo transport, including run length, observed in living cells.
Trajectory changes are susceptible to change blindness manipulations
Authors: Jaquiery Matt , Andermane Nora , Chrisley Ron 
Published: August 2018

AbstractPeople routinely fail to notice that things have changed in a visual scene if they do not perceive the changes in the process of occurring, a phenomenon known as ‘change blindness’ (1,2). The majority of lab-based change blindness studies use static stimuli and require participants to identify simple changes such as alterations in stimulus orientation or scene composition. This study uses a ‘flicker’ paradigm adapted for dynamic stimuli which allowed for both simple orientation changes and more complex trajectory changes. Participants were required to identify a moving rectangle which underwent one of these changes against a background of moving rectangles which did not. The results demonstrated that participants’ ability to correctly identify the target deteriorated with the presence of a visual mask and a larger number of distractor objects, consistent with findings in previous change blindness work.The study provides evidence that the flicker paradigm can be used to induce change blindness with dynamic stimuli, and that changes to predictable trajectories are detected or missed in the similar way as orientation changes.
Efficiency performance of fertilizer use in arable agricultural production in China
Authors: Huang Wei , Jiang Li 
Published: August 2018

Purpose
Fertilizer overuse is regarded as one of the main contributors to agricultural pollution and environmental problems in China. The purpose of this paper is to evaluate technical efficiency (TE) and fertilizer overuse index (FOI) with respect to China’s arable agricultural production and examine regional variations in terms of fertilizer overuse.

Design/methodology/approach
The maximum likelihood random effects–time varying inefficiency effects model was applied to estimate TE, fertilizer use efficiency (FUE) and FOI.

Findings
Over the study period (2011–2015), TE steadily increased for each individual province. Overall, mean annual TE was 0.811, implying that, on average, Chinese provinces could increase output by 18.9 per cent given unchanged levels of inputs and technology. Mean annual FOI ranged from 0.008 to 3.139, with a mean of 0.685, suggesting that there is fertilizer overuse in almost all provinces, and that large regional variation exists. Coastal provinces were found to have the highest TE scores, while the central region showed the highest degree of fertilizer overuse.

Originality/value
The results indicate that fertilizer use has had a significant positive impact on production in the China’s arable agricultural sector. High TE was not necessarily associated with low FUE.
Coupling of finite element method and integral formulation for vector Helmholtz equation
Authors: Grabmaier Sebastian , Jüttner Matthias , Rucker Wolfgang 
Published: August 2018

Purpose
Considering the vector Helmholtz equation in three dimensions, this paper aims to present a novel approach for coupling the finite element method and a boundary integral formulation. It is demonstrated that the method is well-suited for many realistic three-dimensional problems in high-frequency engineering.

Design/methodology/approach
The formulation is based on partial solutions fulfilling the global boundary conditions and the iterative interaction between them. In comparison to other coupling formulation, this approach avoids the typical singularity in the integral kernels. The approach applies ideas from domain decomposition techniques and is implemented for a parallel calculation.

Findings
Using confirming elements for the trace space and default techniques to realize the infinite domain, no additional loss in accuracy is introduced compared to a monolithic finite element method approach. Furthermore, the degree of coupling between the finite element method and the integral formulation is reduced. The accuracy and convergence rate are demonstrated on a three-dimensional antenna model.

Research limitations/implications
This approach introduces additional degrees of freedom compared to the classical coupling approach. The benefit is a noticeable reduction in the number of iterations when the arising linear equation systems are solved separately.

Practical implications
This paper focuses on multiple heterogeneous objects surrounded by a homogeneous medium. Hence, the method is suited for a wide range of applications.

Originality/value
The novelty of the paper is the proposed formulation for the coupling of both methods.
Can green human resource management attract young talent? An empirical analysis
Authors: Chaudhary Richa 
Published: August 2018

PurposeThe purpose of this paper is to examine the effect of perceived green human resource management (GHRM) on job pursuit intention (JPI) of prospective employees. In addition, an attempt was made to unfurl the underlying psychological mechanisms and illuminate the boundary conditions of the aforementioned relationship by proposing organizational prestige (OP) as mediator and environmental orientation (EO) and gender as moderators.Design/methodology/approachIn total, 172 undergraduate engineering students of a reputed engineering institute in India constituted the sample for this scenario-based study. Direct, mediation, moderation and moderated mediation hypotheses were tested using hierarchical linear regression analysis and bootstrapping procedures in SPSS.FindingsGHRM was found to relate significantly with JPI of prospective applicants and OP mediated the above linkage. EO was found to significantly moderate the association of GHRM with JPI. However, gender failed to add to the understanding of the above relationship.Practical implicationsBy providing evidence on the psychological processes which the applicants engage in during employer selection, organizations will be able to form appropriate strategies for attracting talent to their organizations.Originality/valueThe study addresses the call for research to integrate the diverse disciplines of environmental management and human resource management and provides additional insights into human aspect of environmental sustainability. It advances the sustainable HRM literature by providing comprehensive understanding of how and when GHRM influences prospective employee outcomes.
Shanghai aged care and Confucian welfare
Authors: Fisher Karen R. , Zhang Xiaoyi , Alston Max 
Published: August 2018

PurposeSome social policy theorists assert that East Asia has a distinct social welfare regime that due to the influence of Confucian values relies on families more than in other countries. This theorisation has been questioned, partly because it is a static, reductive generalisation. The purpose of this paper is to ask whether this characterisation is relevant to aged care services in Shanghai.Design/methodology/approachThis study uses data from ageing profile statistics, policy documents and ethnographic fieldwork to examine Shanghai aged care services.FindingsThese data show a growing reliance and preference for state aged care service provision to complement family care. It finds that changes in Shanghai aged care services in the last ten years have moved towards a model with similar patterns in high-income countries. It suggests that differences in the service system that were attributed to Confucian values were more likely due to the degree of economic development and internationalisation.Originality/valueThis paper contributes to the literature by re-examining the structure of Shanghai’s welfare regime in the context of the dynamic nature of aged care services and preferences of older people.
Art as document: on conceptual art and documentation
Authors: Berryman Jim 
Published: August 2018

PurposeThe purpose of this paper is to bring the work of Seth Siegelaub (1941–2013) to the attention of document studies. Siegelaub was a pioneer of the conceptual art movement in New York in the 1960s, active as an Art Dealer, Curator and Publisher. He is remembered by art history for his exhibition catalogues, which provided a material base for intangible works of art.Design/methodology/approachThis paper uses a comparative approach to examine the documents of conceptual art, especially the exhibition catalogues produced by Siegelaub between 1968 and 1972. Drawing on literature from document theory and art history and criticism, it examines several of Siegelaub’s key exhibition catalogues and books.FindingsSiegelaub’s theories of information have much in common with the documentalist tradition. Siegelaub’s work is important, not just for its potential to contribute to the literature of document theory. It also provides a point of dialogue between art history and information studies.Originality/valueTo date, the common ground between art and documentation has been explored almost exclusively from the perspective of art history. This paper is among the first to examine conceptual art from the perspective of document theory. It demonstrates potential for cross-disciplinary collaboration.
A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers
Authors: Anthony Jr Bokolo , Abdul Majid Mazlina , Romli Awanis 
Published: August 2018

Purpose
The purpose of this paper is to develop a collaborative agent-based web architecture and an agent-based green IS assessment tool to aid information technology (IT) practitioners in data centers assess their current green information systems (IS) practice toward attaining sustainability.

Design/methodology/approach
The methodology comprises that the collaborative agent-based web architecture, agents’ algorithm and the green IS assessment tool, which is validated by employing focus group questionnaire targeting IT practitioners in seven Malaysian-based enterprises that have an in-house data centers. With 105 valid samples at hand, descriptive analysis and exploratory factor analysis was utilized to determine the applicability of the implemented agent-based green IS assessment tool.

Findings
Findings reveal that the agent-based green IS assessment tool possesses the capability to evaluate benchmark and rate enterprise data centers current green IS practice. Additional findings indicate that the agent-based green IS assessment tool provide suggestions on how green IS practice can be improved in enterprise data centers.

Research limitations/implications
This study only collected data from 105 IT practitioners in enterprise data centers based in Malaysia; as such results from this research cannot be generalized to other countries. Moreover, the developed collaborative agents for green IS practice assessment can only be fully deployed after domain experts has added green IS practice assessment questions and alternative answers.

Practical implications
This study presents an autonomous agent-based green IS assessment tool that supports the assessment of enterprise toward inclusion of sustainability considerations to enhance enterprise environmental performance.

Social implications
This study provides empirical evidence for data centers efficacy leading toward a greener society for environmental conservation for future generations to come.

Originality/value
This study creates awareness by presenting the green IS practice to be implemented by IT practitioners in data centers. In addition, the agent-based green IS assessment tool provides a web-based platform for promoting environmental sustainability by supporting data centers toward evaluating, benchmarking and rating their current green IS practices.