bluuebunny/crossref_metadata_2025_split huggingface dataset:
Similarity corpus on microbial transcriptional regulation
Authors: Oscar Lithgow-Serrano , Socorro Gama-Castro , Cecilia Ishida-Gutiérrez , Citlali Mejía-Almonte , Víctor Tierrafría , Sara Martínez-Luna , Alberto Santos-Zavaleta , David Velázquez-Ramírez , Julio Collado-Vides 
Published: November 2017

AbstractThe ability to express the same meaning in different ways is a well known property of natural language. This amazing property is the source of major difficulties in natural language processing. Given the constant increase in published literature, its curation and information extraction would strongly benefit by efficient automatic processes, for which, corpora of sentences evaluated by experts is a valuable resource. Given our interest in applying such approaches to the benefit of curation of the biomedical literature, specifically about gene regulation in microbial organisms, we decided to build a corpus with graded textual similarity evaluated by curators, and designed specifically oriented to our purposes. Based on the predefined statistical power of future analyses, we defined features of the design including sampling, selection criteria, balance, and size among others. A non-fully crossed-design was performed for each pair of sentences by 3 evaluators from 7 different groups, adapting the SEMEVAL scale to our goals in four successive iterative sessions with a clear improvement in the consensuated guidelines and inter-rater-reliability results. Alternatives for the corpus evaluation are widely discussed. To the best of our knowledge this is the first similarity corpus in this domain of knowledge. We have initiated its incorporation in our research towards high throughput curation strategies based in natural language processing.
The CD11a and EPCR marker combination simplifies and improves the purification of mouse hematopoietic stem cells
Authors: Karimzadeh Alborz , Scarfone Vanessa , Chao Connie , Grathwohl Karin , Fathman John W. , Fruman David , Serwold Thomas , Inlay Matthew A. 
Published: November 2017

AbstractHematopoietic stem cells (HSCs) are the self-renewing multipotent progenitors to all blood cell types. Identification and isolation of HSCs for study has depended on the expression of combinations of surface markers on HSCs that reliably distinguish it from other cell types. However, the increasing number of markers required to isolate HSCs has made it tedious, expensive, and difficult for newcomers, suggesting the need for a simpler panel of HSC markers. We previously showed that phenotypic HSCs could be separated based on expression of CD11a, and that only the CD11a negative fraction contained true HSCs. Here, we show that CD11a and another HSC marker, EPCR, can be used to effectively identify and purify HSCs. We introduce a new two-color HSC sorting method that can highly enrich for HSCs with efficiencies comparable to the gold standard combination of CD150 and CD48. Our results demonstrate that adding CD11a and EPCR to the HSC biologist’s toolkit improves the purity of and simplifies isolation of HSCs.Significance StatementThe study of hematopoietic stem cells (HSCs) and their purification for transplantation requires a panel of surface markers that can be used to distinguish HSCs from other cell types. The number of markers necessary to identify HSCs continues to grow, making it increasingly difficult to identify HSCs by flow cytometry. In this study, we identified a combination of two surface markers, CD11a and EPCR, to enrich for HSCs in the mouse bone marrow without the need for additional markers. This simplified panel could aid HSC research by reducing the number of markers necessary to identify and isolate HSCs.
Bringing Diffuse X-ray Scattering Into Focus
Authors: Wall Michael E. , Wolff Alexander M. , Fraser James S. 
Published: November 2017

AbstractX-ray crystallography is experiencing a renaissance as a method for probing the protein conformational ensemble. The inherent limitations of Bragg analysis, however, which only reveals the mean structure, have given way to a surge in interest in diffuse scattering, which is caused by structure variations. Diffuse scattering is present in all macromolecular crystallography experiments. Recent studies are shedding light on the origins of diffuse scattering in protein crystallography, and provide clues for leveraging diffuse scattering to model protein motions with atomic detail.
An analytical model of harmonic content no-load magnetic fields and Back EMF in axial flux PM machines regarding the iron saturation and winding distribution
Authors: Baghayipour Mohammadreza , Darabi Ahmad , Dastfan Ali 
Published: November 2017

Purpose
This paper aims to propose an analytical model for the harmonic content no-load magnetic fields and Back electric motive force (EMF) in double-sided TORUS-type non-slotted axial flux permanent magnet (TORUS-NS AFPM) machines with surface-mounted magnets considering the winding distribution and iron saturation effects.

Design/methodology/approach
First, a procedure to calculate the winding distribution with a rectangular cross-section is proposed. The magnetic field distribution and magnetic motive force (MMF) drop due to saturation in iron cores are then exactly extracted in a 2-D analytical model. The consequent influence on air-gap magnetic field and Back EMF are also calculated using a new iterative algorithm. The results are compared with those of the conventional analytical model without saturation, 2-D finite element analysis (FEA) and an experiment on a fabricated prototype machine.

Findings
Unlike the conventional method, the new method yields the no-load magnetic field distributions in air-gap and iron cores and Back EMF very exactly such that the results well match to those of the FEA and experiment.

Originality/value
Unlike the conventional winding factor, the winding distribution is considered here along the both axial and circumferential directions, which improves the accuracy level of results for non-slotted structures with relatively large air-gaps. The magnetic field distribution and MMF drop-in iron parts are also calculated as the basis for exact recalculation of air-gap magnetic field and Back EMF. Because of small computational burden beside superior accuracy, the proposed model can be treated as an accurate and fast substitute for FEA to be used during the design procedure or for predicting the other performance characteristics of TORUS-NS AFPM machines.
Partial discharge signal self-adaptive sparse decomposition noise abatement based on spectral kurtosis and S-transform
Authors: Zhang Anan , He Cong , Sun Maoyi , Li Qian , Li Hong Wei , Yang Lin 
Published: November 2017

Purpose
Noise abatement is one of the key techniques for Partial Discharge (PD) on-line measurement and monitoring. However, how to enhance the efficiency of PD signal noise suppression is a challenging work. Hence, this study aims to improve the efficiency of PD signal noise abatement.

Design/methodology/approach
In this approach, the time–frequency characteristics of PD signal had been obtained based on fast kurtogram and S-transform time–frequency spectrum, and these characteristics were used to optimize the parameters for the signal matching over-complete dictionary. Subsequently, a self-adaptive selection of matching atoms was realized when using Matching Pursuit (MP) to analyze PD signals, which leading to seldom noise signal element was represented in sparse decomposition.

Findings
The de-noising of PD signals was achieved efficiently. Simulation and experimental results show that the proposed method has good adaptability and significant noise abatement effect compared with Empirical Mode Decomposition, Wavelet Threshold and global signal sparse decomposition of MP.

Originality/value
A self-adaptive noise abatement method was proposed to improve the efficiency of PD signal noise suppression based on the signal sparse representation and its MP algorithm, which is significant to on-line PD measurement.
A high-efficiency micromixing effect by pulsed AC electrothermal flow
Authors: Hadjiaghaie Vafaie Reza 
Published: November 2017

Purpose
The on-chip high-throughput mixing process is one of the main challenges in the preparation process in clinical diagnostics. Because of high laminar flow in micro-channel, the fluid should be disturbed by external force. This paper aims to study pulsed AC electrothermal flow and the multiphysic interaction between the fluid behavior, external electric field, temperature field and convection-diffusion field to generate perturbation effect inside the channel.

Design/methodology/approach
A set of numerical simulations were carried out by multiphysic interactions between the fluid behavior, external electric field, temperature field and convection-diffusion field to generate the pulsed AC electrothermal flow inside the channel. Behavior of electrode–electrolyte system is discussed using the electrical lumped circuit model.

Findings
Highly efficient temperature gradients are generated by applying pulsed electric potential over the electrodes; as a result, efficient secondary flows form inside the channel. The proposed method increases the interfacial contact area between the fluids and enhances the molecular diffusion transport phenomena. Maximum temperature rise of 4.1 K is observed in the gap between the electrodes for 0.08 S/m fluid medium, where the electric field is much stronger than elsewhere. Velocity field and concentration analysis reveal high performance perturbation effects for the mixing process. The periodic stretching and folding effects increase the interfacial contact area between the fluids by using pulsed AC electrothermal flow. Based on the results, 83 per cent mixing efficiency is achieved for 0.08 S/m fluid medium with a microchannel length of 400 µm. Both the mixing efficiency and generated temperature rise increase by increasing the fluid ionic strength.

Originality/value
The ability to generate low temperature rise is very important for AC electrothermally driven fluidic chips such as immunoassay chips. In the present research, a novel actuation mechanism has been proposed to generate AC electrothermal manipulation mechanism and enhance the mixing efficiency by using pulsed AC electrothermal flow.
Analysis and design of an interior permanent magnet synchronous machine with double-layer PMs for electric vehicles based on multi-physics fields
Authors: Li Ya , Liu Xiping , Liu Zhangqi 
Published: November 2017

Purpose
This paper aims to present an interior permanent magnet synchronous machine (IPMSM) with double-layer PMs used for electric vehicles, of which the integrated simulation of electromagnetic field, stress field and temperature field are analyzed.

Design/methodology/approach
Some electromagnetic characteristics including iron loss, efficiency and flux linkage are obtained by finite element analysis. The mechanical strength of rotor at the maximum speed and the temperature rise at the rated load are calculated by three-dimensional finite element analysis (FEA).

Findings
The results show that the presented IPMSM can work with sufficient mechanical strength, machine temperature rise and high efficiency during field-weakening operation. The experiments were carried out to verify the FEA, and acceptable results can be achieved.

Originality/value
This paper proposed a novel IPMSM with the double-layer permanent magnets, which is designed and checked by the multi-physics fields, and the high efficiency in all operational regions can be achieved for this machine.
Plant propagation algorithm for integration of distributed generation in power systems
Authors: Mahajan Shreya , Vadhera Shelly 
Published: November 2017

Purpose
The purpose of this study/paper is to integrate distributed generation optimally in power system using plant propagation algorithm. Distributed generation is a growing concept in the field of electricity generation. It mainly comprises small generation units installed at calculated points of a power system network. The challenge of optimal allocation and sizing of DG is of utmost importance.

Design/methodology/approach
Plant propagation algorithm and particle swarm optimisation techniques have been implemented where a weighting factor-based multi-objective function is minimised. The objective is to cut down real losses and to improve the voltage profile of the system.

Findings
The results obtained using plant propagation algorithm technique for IEEE 33-bus systems are compared to those attained using particle swarm optimisation technique. The paper deals with the optimisation of weighting factor-based objective function, which counterpoises the losses and improves the voltage profile of the system and, therefore, helps to deliver the best outcomes.

Originality/value
This paper fulfils an identified need to study the multi-objective optimisation techniques for integration of distributed generation in the concerned power system network. The paper proposes a novel plant-propagation-algorithm-based technique in appropriate allocation and sizing of distributed generation unit.
Multimodel approach for modelling of nonlinear systems: validities’ optimal computation
Authors: Ben Messaoud Abdennacer , Talmoudi Samia , Ksouri-Lahmari Moufida 
Published: November 2017

Purpose
The purpose of this paper is to propose a new method for computing validities in the multimodel approach.

Design/methodology/approach
The multimodel approach offers an interesting alternative and a powerful tool to bypass the difficulties to model, control and diagnose a nonlinear and complex system. Its idea is defined as the apprehension of a nonlinear behaviour of a system by a set of local models characterizing the system operation in different operating zones. In spite of the success of its application in different fields, many problems related to the synthesis of multimodel approach remain open. These include, in particular, the method of obtaining the contribution degrees, also called validities, of the base-models for the deduction of the multimodel output.

Findings
The presented method may lead to superior results in comparison with the residue approach commonly used in the calculation of validities. Numerical simulation results and an experimental validation on a semi-batch reactor clearly illustrated the effectiveness of the proposed method and proved its impact on the improvement of the performances of the multimodel approach. Moreover, the multimodel approach using the new validities’ computation method can lead to perfect modelling of the process.

Practical implications
The proposed method discussed in the paper has the potential to make the multimodel approach more efficient in the modelling of complex real systems.

Originality/value
A significant contribution of the paper is the formulation of a new constrained optimization problem that can be solved by using a powerful mathematical tool such as the active set method, allowing to estimate the validity indexes in the multimodel approach. The obtained optimal solution can lead to perfect modelling of nonlinear and complex real systems.
Analysis of strategies of circuit optimisation on basis of maximum principle
Authors: Zemliak Alexander 
Published: November 2017

Purpose
This paper aims to propose a new approach on the problem of circuit optimisation by using the generalised optimisation methodology presented earlier. This approach is focused on the application of the maximum principle of Pontryagin for searching the best structure of a control vector providing the minimum central processing unit (CPU) time.

Design/methodology/approach
The process of circuit optimisation is defined mathematically as a controllable dynamical system with a control vector that changes the internal structure of the equations of the optimisation procedure. In this case, a well-known maximum principle of Pontryagin is the best theoretical approach for finding of the optimum structure of control vector. A practical approach for the realisation of the maximum principle is based on the analysis of the behaviour of a Hamiltonian for various strategies of optimisation and provides the possibility to find the optimum points of switching for the control vector.

Findings
It is shown that in spite of the fact that the maximum principle is not a sufficient condition for obtaining the global minimum for the non-linear problem, the decision can be obtained in the form of local minima. These local minima provide rather a low value of the CPU time. Numerical results were obtained for both a two-dimensional case and an N-dimensional case.

Originality/value
The possibility of the use of the maximum principle of Pontryagin to a problem of circuit optimisation is analysed systematically for the first time. The important result is the theoretical justification of formerly discovered effect of acceleration of the process of circuit optimisation.
Motives and constraints of participants in running events
Authors: Koronios Konstantinos , Psiloutsikou Marina , Kriemadis Athanasios 
Published: November 2017

PurposeThe purpose of this paper is to acquire improved comprehension of the motivational factors and the various constraints associated with individuals’ participation in mass running events.Design/methodology/approachA quantitative method was used for the purpose of this research, and 1.357 questionnaires were completed. This study proposed two broad hypotheses: intrapersonal constraints influence motivation factors (amotivation, intrinsic and extrinsic motivation); and motivation factors influence the intention to continuous participation.FindingsBoth broad hypotheses were supported by the evidence while the lack of knowledge, interest, confidence and feelings of tiresomeness were found to contribute more to explaining motivation. All three motivational factors had a significant influence on intention.Research limitations/implicationsThe empirical evidence for this study came from runners only. The special attributes of running may have influenced the explored relationships in a way that may not be directly applicable to other activities. Further research in various activities is necessary before such findings are generalized.Originality/valueThe aim of this paper is to provide empirical evidence of the relationships between the motivational factors and the various constraints associated with individuals’ participation in mass sporting and physical activity events. This research focused on developing a model to explain relationships among constraints, motivators and participation, and empirically test the proposed model within the marathon running participants context.
Drinking to the “edge”: gender differences in context-specific risks
Authors: Dresler Emma , Anderson Margaret 
Published: November 2017

PurposeThe risk associated with heavy episodic drinking in young people has caused concern among public health professionals. The purpose of this paper is to investigate the gender differences in the perception of risk in alcohol consumption behaviour for better targeting of messages.Design/methodology/approachThis qualitative descriptive study examines the narratives of 28 young people’s experience of a “night out” framed as the Alcohol Consumption Journey to examine the ways young men and women experience context-specific risks for alcohol use.FindingsThe young people perceived participation in the Alcohol Consumption Journey involved risk to their personal safety. Both young men and young women described their alcohol consumption as controlled and perceived the risks as external inevitabilities linked to the public drinking establishments. However, they displayed noticeable gender-based differences in the perception and management of risk in diverse contexts of the Alcohol Consumption Journey. Young women drink in close friendship groups and have a collective view of risk and constructed group strategies to minimise it. Comparatively, the young men’s drinking group is more changeable and adopted a more individualistic approach to managing risk. Both groups exhibited prosocial tendencies to protect themselves and their friends when socialising together.Originality/valueThe concept of “edgework” is effective in providing an explanatory framework for understanding young people’s ritualised Alcohol Consumption Journey and to illustrate the context-specific risks associated with alcohol use.
The intention to quit smoking
Authors: Rahman Muhammad Sabbir , Mannan Mahafuz , Rahman Mohammad Mahboob 
Published: November 2017

Purpose
From the perspective of developing countries, studies regarding the behavioral effects of quitting tobacco consumption on emerging psychological determinants are limited. The purpose of this paper is to examine the influence of emotional intelligence (EI), social norms, susceptibility and self-efficacy on the behavioral effects of quitting tobacco consumption among young smokers in developing countries.

Design/methodology/approach
By reviewing existing literature, this study developed a conceptual model to test the influences of significant psychological determinants in regards to a young smoker’s intention to quit smoking. Accordingly, a survey instrument was designed to collect data from young smokers in Bangladesh using the convenience sampling method. A total of 500 self-administered questionnaires were distributed, out of which only 400 questionnaires were used in final data analysis. This study applied partial least square structural equation modeling (PLS-SEM) to test the proposed model.

Findings
Perceived EI, perceived social norms and perceived susceptibility were found to have significant direct positive effects on intention to quit smoking. Perceived susceptibility and perceived self-efficacy were observed to have moderating effects on intention to quit smoking through perceived EI and perceived social norms respectively. However, perceived self-efficacy was not found to have any significant direct effect on intention to quit smoking.

Originality/value
This is the first study of its kind which combined EI, susceptibility, self-efficacy, and social norms in one theoretical framework to explain a young smoker’s intention to quit smoking. Also, in the context of Bangladesh and similar developing countries, there are no such studies which used the psychological components investigated in this study to predict a young smoker’s intention to quit smoking. Thus, the findings bring us closer to the goal of a tobacco-free society by allowing policy makers, NGOs, broader communities, and ultimately individual citizens to understand the psychological predictors of quitting tobacco consumption among young smokers in developing countries.