bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of Bacteroides acidifaciens relative abundance with high-fibre diet-associated radiosensitisation
Authors: Then Chee Kin , Paillas Salome , Wang Xuedan , Hampson Alix , Kiltie Anne E 
Published: November 2019

AbstractBackgroundPatients with pelvic malignancies often receive radiosensitising chemotherapy with radiotherapy to improve survival, however this is at the expense of increased normal tissue toxicity, particularly in elderly patients. Here we explore if an alternative, low-cost and non-toxic approach can achieve radiosensitisation in mice transplanted with human bladder cancer cells. Other investigators have shown slower growth of transplanted tumours in mice fed high-fibre diets. We hypothesised that mice fed a high-fibre diet would have improved tumour control following ionising radiation (IR) and that this would be mediated through the gut microbiota.ResultsWe investigated the effects of four different diets (low fibre, soluble high fibre, insoluble high fibre and mixed soluble/insoluble high fibre diets) on tumour growth in immunodeficient mice implanted with human bladder cancer flank xenografts and treated with ionising radiation, simultaneously investigating the composition of their gut microbiomes by 16S rRNA sequencing. A significantly higher relative abundance of Bacteroides acidifaciens was seen in the gut (faecal) microbiome of the soluble high fibre group, and the soluble high fibre diet resulted in delayed tumour growth after irradiation compared to the other groups. Within the soluble high fibre group, responders to irradiation had significantly higher abundance of B. acidifaciens than non-responders. When all mice fed with different diets were pooled, an association was found between the survival time of mice and relative abundance of B. acidifaciens. The gut microbiome in responders was predicted to be enriched for carbohydrate metabolism pathways and in vitro experiments on the transplanted human bladder cancer cell line suggested a role for microbial-generated short-chain fatty acids and/or other metabolites in the enhanced radiosensitivity of the tumour cells.ConclusionsSoluble high fibre diets sensitised tumour xenografts to irradiation and this phenotype was associated with modification of the microbiome and positively correlated with B. acidifaciens abundance. Our findings might be exploitable for improving radiotherapy response in human patients.
A Hybrid Model for Predicting Pattern Recognition Receptors using Evolutionary Information
Authors: Kaur Dilraj , Arora Chakit , Raghava Gajendra P. S. 
Published: November 2019

1.AbstractThis study describes a method developed for predicting pattern recognition receptors (PRRs), which are an integral part of the immune system. The models developed here were trained and evaluated on the largest possible non-redundant PRRs, and non-pattern recognition receptors (Non-PRRs) obtained from PRRDB 2.0. Firstly, a similarity-based approach using BLAST was used to predict PRRs and got limited success due to a large number of no-hits. Secondly, machine learning-based models were developed using sequence composition and achieved a maximum MCC of 0.63. In addition to this, models were developed using evolutionary information in the form of PSSM composition and achieved maximum MCC value of 0.66. Finally, we developed hybrid models that combined a similarity-based approach using BLAST and machine learning-based models. Our best model, which combined BLAST and PSSM based model, achieved a maximum MCC value of 0.82 with an AUROC value of 0.95, utilizing the potential of both similarity-based search and machine learning techniques. In order to facilitate the scientific community, we also developed a web server “PRRpred” based on the best model developed in this study (http://webs.iiitd.edu.in/raghava/prrpred/).
The Human Brain encodes a Chronicle of Visual Events at each Instant of Time
Authors: King J-R. , Wyart V. 
Published: November 2019

AbstractThe human brain continuously processes streams of visual input. Yet, a single image typically triggers neural responses that extend beyond one second. To understand how such a slow computation copes with real-time processing, we recorded subjects’ electrical brain activity, while they watched ~5,000 rapidly-changing images. First, we show that each image can be decoded from brain activity for ~1 sec, and demonstrate that the brain simultaneously represents multiple images at each time instant. Second, dynamical system modeling reveals that these sustained representations can be explained by a specific chain of neural circuits, which consist of (i) a hidden maintenance mechanism, and (ii) an observable update mechanism. Third, this neural architecture is localized along the expected visual pathways. Finally, we show that the propagation of low-level representations across the visual hierarchy is a principle shared with deep convolutional networks. Together, these findings provide a general neural mechanism to simultaneously represent successive visual events.SignificanceOur retina are continuously bombarded with a rich flux of visual input. How our brain continuously processes such visual stream is a major challenge to neuroscience. Here, we developed techniques to decode and track, from human brain activity, multiple images flashed in rapid succession. Our results show that the brain simultaneously represents multiple successive images at each time instant. A hierarchy of neural assemblies which continuously propagate multiple visual contents explains our findings. Overall, this study sheds new light on the biological basis of our visual experience.
Dynamical informational structures characterize the different human brain states of wakefulness and deep sleep
Authors: Galadí J. A. , Silva Pereira S. , Perl Y. S. , Kringelbach M.L. , Gayte I. , Laufs H. , Tagliazucchi E. , Langa J. A. , Deco G. 
Published: November 2019

ABSTRACTThe dynamical activity of the human brain describes an extremely complex energy landscape changing over time and its characterisation is central unsolved problem in neuroscience. We propose a novel mathematical formalism for characterizing how the landscape of attractors sustained by a dynamical system evolves in time. This mathematical formalism is used to distinguish quantitatively and rigorously between the different human brain states of wakefulness and deep sleep. In particular, by using a whole-brain dynamical ansatz integrating the underlying anatomical structure with the local node dynamics based on a Lotka-Volterra description, we compute analytically the global attractors of this cooperative system and their associated directed graphs, here called the informational structures. The informational structure of the global attractor of a dynamical system describes precisely the past and future behaviour in terms of a directed graph composed of invariant sets (nodes) and their corresponding connections (links). We characterize a brain state by the time variability of these informational structures. This theoretical framework is potentially highly relevant for developing reliable biomarkers of patients with e.g. neuropsychiatric disorders or different levels of coma.
Ibotenic acid biosynthesis in the fly agaric is initiated by glutamate hydroxylation
Authors: Obermaier Sebastian , Müller Michael 
Published: November 2019

AbstractThe fly agaric, Amanita muscaria, is widely known for its content of the psychoactive metabolites ibotenic acid and muscimol. 50 years ago, their biosynthesis was hypothesized to start with 3-hydroxyglutamate. Here, we build on this hypothesis by the identification and recombinant production of a glutamate hydroxylase from A. muscaria. The corresponding gene is surrounded by six other genes, which we link to ibotenic acid production using recent genetic data. Our data provide new insights into a decades-old question concerning a centuries-old drug.
Perceived value, satisfaction and future intentions in sport services
Authors: Alguacil Mario , Núñez-Pomar Juan , Pérez-Campos Carlos , Prado-Gascó Vicente 
Published: November 2019

Purpose
The purpose of this paper is to analyze the role of brand-related variables as congruence and brand trust on the traditional model formed by perceived quality, perceived value (PV) and satisfaction, in order to compare predictive models for the variables of PV, satisfaction and future intentions of 683 users of sports services.

Design/methodology/approach
The analysis has been carried out using two different methodologies. First, three models have been proposed to be analyzed by hierarchical regression models, in order to subsequently propose a fuzzy-set qualitative comparative analysis (fsQCA) to verify the existence or not of necessary and sufficient conditions.

Findings
The results indicate that both the classic service variables and the elements related to the brand significantly predict PV, satisfaction and future intentions, in some cases with greater predictive weight being given to congruence and trust than the classic service variables. In addition, linear models have been shown to improve their predictive capability by including brand-related variables, especially the future intentions model. After the fsQCA, congruence and trust have proved to be sufficient combinations to achieve high levels of PV and future intentions, while this is not the case for satisfaction.

Originality/value
The importance of the aspects related to the brand, either on their own or in combination with the classic service variables, is demonstrated, contributing to the literature on brand image in sports services, which is practically non-existent.
A systematic literature review on BPMN extensions
Authors: Zarour Karim , Benmerzoug Djamel , Guermouche Nawal , Drira Khalil 
Published: November 2019

Purpose
Business Process Model and Notation (BPMN) is a generic language that is often extended by researchers, either for dealing with processes of specific domains or for improving the language itself. The purpose of this paper is to present a literature review that aims to determine the current state of the art of BPMN extensions and identify the gaps that should be filled in this research area.

Design/methodology/approach
For a comprehensive and effective analysis, a systematic literature review was conducted. After the collection and filtering of papers, 52 extensions were retained to be thoroughly examined and compared according to a set of criteria including objective, targeted domain, conformity to the extension mechanism, demonstration, implementation, etc.

Findings
The representation of the results in the form of tables and graphs allowed the authors to deduce several positive points on the extensions as their demonstration through concrete examples. On the other hand, the authors have observed several shortcomings and suggested recommendations for addressing them.

Originality/value
To the best of the authors’ knowledge, the literature review is the only one that evaluates and compares all BPMN extensions over the last four years, based on several criteria covering different aspects. Furthermore, the authors were able to verify the conformity of extensions as they were published after the introduction of the BPMN extension mechanism by the Object Management Group.
Analysis of squirrel-cage induction generator start-up supported by reactive power compensator
Authors: Górski Dominik Andrzej 
Published: November 2019

PurposeThe power electronic converter is used for the satisfaction of reactive power demand of induction generator, when grid-tied. This paper aims to present an application of STATCOM to reduce inrush transient caused by the connection of a squirrel-cage induction generator (SCIG) to the grid.Design/methodology/approachThe power generation system consists of an uncontrolled prime mover, a SCIG and a power electronic converter connected to the grid. The three-phase Neutral Point Clamped (NPC) converter works as a STATCOM to satisfy a reactive power demand of the generator. A control scheme of STATCOM uses the x-y reference frame rotating synchronously with grid voltage vector and the p-q instantaneous power theory to calculate q component of grid power.FindingsIt is shown that the parallel converter, which works as a reactive power compensator allows decreasing transients during a grid connection of the induction generator.Research limitations/implicationsTransients during a grid connection of the induction generator are only partially decreased.Practical implicationsIt is needed to compensate for the reactive power of a SCIG. The NPC converter works as a STATCOM. The converter partially reduces grid transients during generator connection. The laboratory tests are demonstrated by connection 7.5 kW induction generator to 8 kVA transformer.Originality/valueThe paper presents the mitigation of grid transients during connection of induction generator with the power electronic converter working as reactive power compensator.
A sequential sampling method for adaptive metamodeling using data with highly nonlinear relation between input and output parameters
Authors: Huo Guanying , Jiang Xin , Zheng Zhiming , Xue Deyi 
Published: November 2019

Purpose
Metamodeling is an effective method to approximate the relations between input and output parameters when significant efforts of experiments and simulations are required to collect the data to build the relations. This paper aims to develop a new sequential sampling method for adaptive metamodeling by using the data with highly nonlinear relation between input and output parameters.

Design/methodology/approach
In this method, the Latin hypercube sampling method is used to sample the initial data, and kriging method is used to construct the metamodel. In this work, input parameter values for collecting the next output data to update the currently achieved metamodel are determined based on qualities of data in both the input and output parameter spaces. Uniformity is used to evaluate data in the input parameter space. Leave-one-out errors and sensitivities are considered to evaluate data in the output parameter space.

Findings
This new method has been compared with the existing methods to demonstrate its effectiveness in approximation. This new method has also been compared with the existing methods in solving global optimization problems. An engineering case is used at last to verify the method further.

Originality/value
This paper provides an effective sequential sampling method for adaptive metamodeling to approximate highly nonlinear relations between input and output parameters.
Entropy generation analysis in flow of thixotropic nanofluid
Authors: Ijaz Khan Muhammad , Ahmad Salman , Hayat Tasawar , Khan M. Waleed Ahmad , Alsaedi Ahmed 
Published: November 2019

Purpose
The purpose of this paper is to address entropy generation in flow of thixotropic nonlinear radiative nanoliquid over a variable stretching surface with impacts of inclined magnetic field, Joule heating, viscous dissipation, heat source/sink and chemical reaction. Characteristics of nanofluid are described by Brownian motion and thermophoresis effect. At surface of the sheet zero mass flux and convective boundary condition are considered.

Design/methodology/approach
Considered flow problem is mathematically modeled and the governing system of partial differential equations is transformed into ordinary ones by using suitable transformation. The transformed ordinary differential equations system is figure out by homotopy algorithm. Outcomes of pertinent flow variables on entropy generation, skin friction, concentration, temperature, velocity, Bejan, Sherwood and Nusselts numbers are examined in graphs. Major outcomes are concluded in final section.

Findings
Velocity profile increased versus higher estimation of material and wall thickness parameter while it decays through larger Hartmann number. Furthermore, skin friction coefficient upsurges subject to higher values of Hartmann number and magnitude of skin friction coefficient decays via materials parameters. Thermal field is an increasing function of Hartmann number, radiation parameter, thermophoresis parameter and Eckert number.

Originality/value
The authors have discussed entropy generation in flow of thixotropic nanofluid over a variable thicked surface. No such consideration is yet published in the literature.
Research on properties of modified nylon blend yarn and fabric
Authors: Liu Xinjin , Su Xuzhong , Song Juan , Zhang Yafang 
Published: November 2019

Purpose
Due to the excellent functionality of graphene, the research on fiber modification by graphene has been receiving more and more attentions recently, and many research findings have been conducted. However, the purpose of this paper is to focus on the fiber modification method and corresponding modified fiber properties, but the research on processing of the modified fiber, especially the textile process, is little. Therefore, in the paper, the properties of one kind of textile GN fiber and the spinning method of the GN fiber blend yarn and the functionalities of corresponding fabric are studied.

Design/methodology/approach
In the paper, the properties of nylon fiber modified by graphene (GN) were studied first. Then, according to the tested results, one new blending process of the GN fiber and cotton fiber was given, and corresponding properties of the blend yarns were tested and analyzed. Finally, the knitted fabrics were produced using the spun blend yarns, and the antibacterial property, electromagnetic shielding property, anti-ultraviolet performance, anti-static performance and conventional mechanical, and appearance thermal-wet comfort properties were tested and comparatively analyzed.

Findings
The tested results showed that the functionality of all fabrics was effective due to the addition of the graphene in the fiber, especially the antibacterial property. With the increasing of the GN fiber in the blend yarns, the functionality of all fabrics was also increased first and then achieved stability.

Originality/value
One new blending process of the GN fiber and cotton fiber was given. In the spinning, the combed cotton sliver was produced first, and then was torn into small parts of combed cotton sliver fiber by hand. Then, the treated GN fibers and cotton fibers were mixed for the first time, and corresponding GN/C carding sliver was produced. In this blend processing, the mixed cotton fiber was used to improve the sliver processing of the GN fiber. Then, in the drawing process, the required number of GN/C carding sliver and combed cotton sliver were fed simultaneously, and GN fibers and cotton fibers were mixed for the second time, and corresponding four kinds of GN/JC blend yarns were produced. In this blend processing, the mixed cotton fiber was used to regulate the blending ratio.
The effect of green shipping practices on multinational companies’ loyalty in Malaysia
Authors: Jozef Erwind , Kumar Kavigtha Mohan , Iranmanesh Mohammad , Foroughi Behzad 
Published: November 2019

Purpose
The globalization of market and production activities with unequal distribution of market demand and resources has accelerated the demand for shipping services. Public concerns about environmental issues and the impacts of shipping service providers’ green shipping practices (GSPs) on the reputation and performance of multinational companies (MNCs) motivated the authors to test the impact of shipping companies’ GSPs on MNCs’ loyalty by considering timeliness and perceived value as moderators. The paper aims to discuss this issue.

Design/methodology/approach
The data were collected from 141 MNCs and analyzed using the partial least squares technique.

Findings
The results show that company policy and procedure, shipping documentation, shipping equipment and shipping materials have significant effects on MNCs’ loyalty. Furthermore, timeliness positively moderates the impacts of shipping materials and shipping design on compliance, while perceived value positively moderates the effects of shipping equipment and shipping design for compliance on MNCs’ loyalty.

Practical implications
The results provide insight for shipping service providers on GSPs that may lead to MNCs’ loyalty by considering the roles of lead time and freight rate.

Originality/value
The results extend the literature by testing empirically the impacts of GSP of shipping companies on MNCs’ loyalty and also by investigating the moderating impacts of perceived value and timeliness.
Air pollution and public finance: evidence for European countries
Authors: Carratù Maria , Chiarini Bruno , D’Agostino Antonella , Marzano Elisabetta , Regoli Andrea 
Published: November 2019

PurposeThe purpose of this paper is to investigate whether a statistically significant relationship exists between environmental quality, as measured by consumption-related air pollution, and public debt in Europe. In addition, since the debt burden is one of the most important indicators of fiscal soundness within the European Union (EU) Treaty and the subsequent fiscal compact, the authors propose a simple test to determine whether participation in EU Treaties has shaped the empirical relationship between fiscal policy/public debt and environmental performance.Design/methodology/approachTo this end, the authors built a panel data set that covers 24 European countries over the period 1996–2015.FindingsThe aspect that the authors want to underline is a possible trade off, which is confirmed in the empirical analysis, between the public finance equilibrium and the maintenance of a public good such as air quality. However, there are important non-linearities that shape the interaction between public debt and environmental pollution. Similarly, threshold effects arise when the authors examine the interaction between EU regulation and public debt and when the authors separately examine high debt and low debt countries. When the authors account for the stabilization rules introduced by EU Treaties, a negative effect on pollution is evident; in this way, fiscal consolidation limits the positive effect of fiscal policy.Practical implicationsThe results point out the existence of a potential trade-off between the role of EU as a regulator aiming to mitigate environmental pollution, and its role within the Stability and Growth Pact. The analysis highlights that fiscal consolidation policies, while facilitating the achievement of macroeconomic stability within EU, might have a negative side effect on the environment quality, which spreads beyond the borders of one single country.Originality/valueWhile a number of studies have suggested that fiscal spending might contribute to the level of pollution in European countries, there is scant evidence of the effect of public debt on environmental performance. This lack of scientific knowledge is a serious shortcoming, since it may allow for an underrepresentation of the wide-ranging consequences of stabilization programmes targeting the debt-to-GDP ratio, which could affect environmental quality.