bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic and Interventional Optical Angioscopy in Ex Vivo Carotid Arteries
Authors: Savastano Luis E. , Chaudhary Neeraj , Murga-Zamalloa Carlos , Wang Michael , Wang Thomas , Thompson B. Gregory 
Published: February 2017

Abstract

BACKGROUND: Angioscopy – or endovascular endoscopy – is a catheter-based technique employing a flexible fiberoptic angioscope to directly visualize arterial lumen. Poor resolution and excessive stiffness of pre-existent angioscopes limited their use clinically. Recent advances resulted in novel fused optical fiber bundle angioscopes with improved flexibility and imaging resolution. Use of these devices in endovascular neurosurgery is still largely unexplored.

OBJECTIVE: To evaluate image quality and feasibility of optical angioscopes for diagnostic and interventional neuro-angioscopy in carotid arteries of human cadavers.

METHODS: A 5-F optical angioscope was used in human cadaveric carotid arteries to inspect integrity of arterial walls, identify atherosclerotic plaques and associated lesions prone to thrombogenicity, place intravascular occlusion coils, and deploy endovascular stents with real-time visualization.

RESULTS: Angioscopy provided key information about endoluminal anatomy such as presence and characteristics of atherosclerotic plaques and thrombogenic lesions not detected by conventional diagnostic methods. Direct real-time visualization of vascular lumen during endovascular interventions provided information on spatial distribution of coils, coil loop herniation, and apposition of stent cells against carotid artery wall complementary to angiography.

CONCLUSIONS: Fused optical fiber bundle angioscopes provide good-quality endoluminal images in human carotid arteries. Their use can feasibly assist in navigation of extracranial carotid arteries to inspect integrity of the arterial wall and identify atherosclerotic plaques and associated lesions vulnerable to thrombogenicity, allow placement of intravascular occlusion coils, and assess apposition of stents to vessel wall. Further in Vivo validation needs to be conducted along with additional research to improve image quality, flexibility, and size of angioscopes.
Paul and Politics
Authors: Lopez Davina C. , Penner Todd 
Published: February 2017

Abstractabstract: ‘Paul and Politics’ is a highly contested site of examination in contemporary Pauline Studies. Debates about whether, how, and to what ends Pauline literature can be read politically reach back to the beginnings of historical-critical engagement with New Testament texts in Germany, and have gained traction in the last several decades, particularly, in the United States at least, in the aftermath of the political and military engagements of the past decade and more. This essay maps several broad perspectives and approaches that New Testament scholars adopt in deliberating ‘Paul and Politics’, highlighting methodological questions and trends in the field, as well as some of the main points of contention.
The Pauline Letters in Contemporary Research
Authors: Das A. Andrew 
Published: February 2017

AbstractPaul’s letters address the particular situations of first-century audiences. Mirror-reading, as exemplified in Galatians scholarship, is fraught with potential difficulties and must be executed cautiously. The Thessalonians received Paul’s apocalyptic message in a social situation of conflict and alienation. The First Letter to the Corinthians admonished unity in the gospel for a fragmented congregation. Interpreters of Paul’s Second Letter to the Corinthians grapple with whether this is a single letter or multiple letters and the proper ordering of the chapters. Reconstructions of the Roman situation often assume erroneously that Paul is writing to a mixed community of Jews and Gentiles after a mass expulsion and return of the Jewish communities. Philippians, a single letter, primarily addresses a conflict between two women. Philemon is not an attempted reconciliation of a runaway slave to his master but an explanation of the need for further assistance from a changed man.
Reception
Authors: Haubold Johannes 
Published: February 2017

AbstractThis chapter considers the reception, projection, and invention of Babylonian literature in the Roman Empire, taking into account the perspectives of classical authors as well as the experiences and aspirations of ancient readers. It first reviews the development of cuneiform literature in the Hellenistic period and how it influenced Greek and Roman ideas about the wisdom of the Chaldeans. It then discusses Babylonian fictions before turning to the ancient reception and definition of Babylonian literature, with particular emphasis on how maps of reading interacted with literary production in the Roman Empire. It also describes how the development of individual literatures in the empire was informed by shared notions about place, language, and literature and how, under different circumstances, the very idea of what constituted a literature (Syrian, Egyptian, Greek, etc.) could change over time.
The GridCAT: A toolbox for automated analysis of human grid cell codes in fMRI
Authors: Stangl Matthias , Shine Jonathan , Wolbers Thomas 
Published: February 2017

AbstractHuman fMRI studies examining the putative firing of grid cells (i.e., the grid code) suggest that this cellular mechanism supports not only spatial navigation, but also more abstract cognitive processes. This research area, however, remains relatively unexplored, perhaps us to the complexities of data analysis. To overcome this, we have developed the Matlab-based Grid Code Analysis Toolbox (GridCAT), providing a graphical user interface, and open-source code, for the analysis of fMRI data. The GridCAT performs all analyses, from estimation and fitting of the grid code in the general linear model, to the generation of grid code metrics and plots. Moreover, it is flexible in allowing the specification of bespoke analysis pipelines; example data are provided to demonstrate the GridCAT’s main functionality. We believe the GridCAT is essential to opening this research area to the imaging community, and helping to elucidate the role of human grid codes in higher-order cognitive processes.HighlightsThe putative firing of grid cells (i.e., the grid code) can be examined using fMRINecessary steps for grid code analysis are reviewedThe Matlab-based grid code analysis toolbox (GridCAT) is introducedAutomated grid code analysis can be conducted either via a graphical user interface or open-source codeA detailed manual and an example dataset are provided
Advanced Protection Against Marine Biofouling Using Solar Light
Authors: Scandura Gabriele , Ciriminna Rosaria , Ozer Lütfiye Yıldız , Meneguzzo Francesco , Palmisano Giovanni , Pagliaro Mario 
Published: February 2017

AbstractWe undertook prolonged testing of a new xerogel coating (AquaSun) to protect from marine biofouling a surface probe immersed in the seawater of Abu Dhabi. Electron microscopy, Raman mapping, and photoluminescence experiments coupled to extensive analyses of marine water before and after 122 days of testing showed excellent action against biofouling when irradiating the probe with visible light. Considering the high chemical and mechanical stability and the low cost of the sol-gel coating, the technology has significant potentialen routeto replacing conventional antifouling and foul release coatings with a single product of broad applicability.
Reward and punishment enhance motor adaptation in stroke
Authors: Quattrocchi Graziella , Greenwood Richard , Rothwell John C , Galea Joseph M , Bestmann Sven 
Published: February 2017

ABSTRACTThe effects of motor learning, such as motor adaptation, in stroke rehabilitation are often transient, thus mandating approaches that enhance the amount of learning and retention. Previously, we showed in young individuals that reward-and punishment-feedback have dissociable effects on motor adaptation, with punishment improving adaptation and reward enhancing retention. If these findings were able to generalise to stroke patients, they would provide a way to optimize motor learning in these patients. Therefore, we tested this in 45 chronic stroke patients allocated in three groups. Patients performed reaching movements with their paretic arm with a robotic manipulandum. After training (day 1), day 2 involved adapting to a novel force-field. During this adaptation phase, patients received performance-based feedback according to the group they were allocated: reward, punishment or no feedback (neutral). On day 3, patients readapted to the force-field but all groups now received neutral feedback. All patients adapted, with reward and punishment groups displaying greater adaptation and readaptation than the neutral group, irrespective of demographic, cognitive or functional differences. Remarkably, the reward and punishment groups adapted to similar degree as healthy controls. Finally, the reward group showed greater retention. This study provides, for the first time, evidence that reward and punishment can enhance motor adaptation in stroke patients. Further research on reinforcement-based motor learning regimes is warranted to translate these promising results into clinical practice and improve motor rehabilitation outcomes in stroke patients.
Modeling non-normality using multivariatet: implications for asset pricing
Authors: Kan Raymond , Zhou Guofu 
Published: February 2017

PurposeThe purpose of this paper is to show that multivariatet-distribution assumption provides a better description of stock return data than multivariate normality assumption.Design/methodology/approachThe EM algorithm is applied to solve the statistical estimation problem almost analytically, and the asymptotic theory is provided for inference.FindingsThe authors find that the multivariate normality assumption is almost always rejected by real stock return data, while the multivariatet-distribution assumption can often be adequate. Conclusions under normality vs undertcan be drastically different for estimating expected returns and Jensen’sαs, and for testing asset pricing models.Practical implicationsThe results provide improved estimates of cost of capital and asset moment parameters that are useful for corporate project evaluation and portfolio management.Originality/valueThe authors proposed new procedures that makes it easy to use a multivariatet-distribution, which models well the data, as a simple and viable alternative in practice to examine the robustness of many existing results.
Credit enhancement and bond rating
Authors: Hu Yiming , Yang Ying , Han Pengfei 
Published: February 2017

Purpose
The purpose of this paper is to examine the difference of credit enhancement of variously secured bonds issued by local government financing platform bond (LGFPB).

Design/methodology/approach
The approaches to secure the bonds usually include mortgage, collateral, guarantee, etc.

Findings
Using a sample of LGFPBs issued during the 2007-2013 period, the authors find that all of the approaches to secure the bonds would increase the bond rating and that compounded approaches have a higher credit enhancement effect than single approaches. Among these approaches, the requirement of collateral has the strongest enhancement effect. Moreover, the authors find that the guarantee provided by a state-owned bank or enterprise increases the bond rating more than the guarantee provided by other local government financing platforms.

Research limitations/implications
The findings in this study suggest that the credit enhancement would be deeply affected by the approach used to secure the bond.

Practical implications
These results can help the local government make better decisions when issuing bond.

Originality/value
This study empirically analyzes the different credit enhancement approaches for securing LGPFBs for the first time and contributes to the literature regarding credit ratings of local government bonds.
3D fluid-structure interaction (FSI) simulation of new type vortex generators in smooth wavy fin-and-elliptical tube heat exchanger
Authors: Lotfi Babak , Sunden Bengt , Wang Qiu-Wang 
Published: February 2017

PurposeThe purpose of this paper is to investigate the numerical fluid-structure interaction (FSI) framework for the simulations of mechanical behavior of new vortex generators (VGs) in smooth wavy fin-and-elliptical tube (SWFET) heat exchanger using the ANSYS MFX Multi-field® solver.Design/methodology/approachA three-dimensional FSI approach is proposed in this paper to provide better understanding of the performance of the VG structures in SWFET heat exchangers associated with the alloy material properties and geometric factors. The Reynolds-averaged Navier-Stokes equations with shear stress transport turbulence model are applied for modeling of the turbulent flow in SWFET heat exchanger and the linear elastic Cauchy-Navier model is solved for the structural von Mises stress and elastic strain analysis in the VGs region.FindingsParametric studies conducted in the course of this research successfully identified illustrate that the maximum magnitude of von Mises stress and elastic strain occurs at the root of the VGs and depends on geometrical parameters and material types. These results reveal that the titanium alloy VGs shows a slightly higher strength and lower elastic strain compared to the aluminum alloy VGs.Originality/valueThis paper is one of the first in the literature that provides original information mechanical behavior of a SWFET heat exchanger model with new VGs in the field of FSI coupling technique.
Intelligent motion control of voice coil motor using PID-based fuzzy neural network with optimized membership function
Authors: Chen Syuan-Yi , Lee Cheng-Yen , Wu Chien-Hsun , Hung Yi-Hsuan 
Published: February 2017

Purpose
The purpose of this paper is to develop a proportional-integral-derivative-based fuzzy neural network (PIDFNN) with elitist bacterial foraging optimization (EBFO)-based optimal membership functions (PIDFNN-EBFO) position controller to control the voice coil motor (VCM) for tracking reference trajectory accurately.

Design/methodology/approach
Because the control characteristics of the VCM are highly nonlinear and time varying, a PIDFNN, which integrates adaptive PID control with fuzzy rules, is proposed to control the mover position of the VCM. Moreover, an EBFO algorithm is further proposed to find the initial optimal fuzzy membership functions for the PIDFNN controller.

Findings
Due to the gradient descent method used in back propagation (BP) to derive the on-line learning algorithm for the PIDFNN, it may reach the local optimal solution due to the inappropriate initial values. Hence, a hybrid learning method, which includes BP and EBFO algorithms, is proposed to improve the learning performance of the PIDFNN controller.

Research limitations/implications
Future work will consider reducing the computational burden of bacterial foraging optimization algorithm for on-line parameters optimization.

Practical implications
The real-time control system is implemented on a 32-bit floating-point digital signal processor (DSP). The experimental results demonstrate the favorable effectiveness of the proposed PIDFNN-EBFO controlled VCM system.

Originality/value
A new PIDFNN-EBFO control scheme is proposed and implemented via DSP for real-time VCM position control. The experimental results show the superior control performance of the proposed PIDFNN-EBFO compared with the other control systems.
A novel compressive sensing method based on SVD sparse random measurement matrix in wireless sensor network
Authors: Ma Zhen , Zhang Degan , Liu Si , Song Jinjie , Hou Yuexian 
Published: February 2017

Purpose
The performance of the measurement matrix directly affects the quality of reconstruction of compressive sensing signal, and it is also the key to solve practical problems. In order to solve data collection problem of wireless sensor network (WSN), the authors design a kind of optimization of sparse matrix. The paper aims to discuss these issues.

Design/methodology/approach
Based on the sparse random matrix, it optimizes the seed vector, which regards elements in the diagonal matrix of Hadamard matrix after passing singular value decomposition (SVD). Compared with the Toeplitz matrix, it requires less number of independent random variables and the matrix information is more concentrated.

Findings
The performance of reconstruction is better than that of Gaussian random matrix. The authors also apply this matrix to the data collection scheme in WSN. The result shows that it costs less energy and reduces the collection frequency of nodes compared with general method.

Originality/value
The authors design a kind of optimization of sparse matrix. Based on the sparse random matrix, it optimizes the seed vector, which regards elements in the diagonal matrix of Hadamard matrix after passing SVD. Compared with the Toeplitz matrix, it requires less number of independent random variables and the matrix information is more concentrated.
Using a cycle reverting price process in modeling metal mining project profitability
Authors: Savolainen Jyrki , Collan Mikael , Luukka Pasi 
Published: February 2017

Purpose
The purpose of this paper is to demonstrate how managerial estimates of long-term market price trends can be included into investment analysis of metal mining. The inclusion of subjective market information with a new cycle reverting price process is proposed.

Design/methodology/approach
Subjective managerial estimates are included into stochastic metal price modeling by defining separately the following parameters of each price cycle phase: approximated length, approximated long-term price level and volatility. An net present value-based investment analysis model is applied together with Monte Carlo simulation.

Findings
It is plausible to combine managerial estimates about metal price trends and cycles with stochastic modeling for shorter term and to include the information into investment analysis. The results show that the difference between the proposed process and the commonly used mean reverting process is remarkable in terms of decision-making implications.

Originality/value
The proposed method allows the inclusion of more relevant information into the metal price modeling used in mining investment analysis. Results suggest that the cyclical nature of metal prices affects project value of metal mining projects, and it should be considered when making irreversible investment decisions. The proposed method can be generalized for any cyclical processes.
Tutors and gatekeepers in sustainability MOOCS
Authors: Mishra Danish , Cayzer Steve , Madden Tracey 
Published: February 2017

Purpose
The purpose of this paper is to explore the nature of interactions between learners in a massive open online course (MOOC), particularly role of the tutors in such interactions. For educators concerned with sustainability literacy, the authors are necessarily both affected by, and effectors of, digital pedagogies. The call for papers for this special issue challenged the authors to consider whether digital pedagogies are “supportive of sustainability or perpetuators of unsustainability”. As might be expected, this question is not a simple binary choice and the authors have chosen to address it indirectly, by considering the nature of interaction in a global, digitally connected community of learners. In particular, the changing role of tutors in these communities, and the possible implications of this change on sustainable literacy, are examined.

Design/methodology/approach
The authors focus on the “Sustainability for Professionals” massive open online course (MOOC) delivered by the University of Bath on the FutureLearn platform which hosts the “Inside Cancer” MOOC, also from Bath. “Sustainability for Professionals” is pedagogically connectivist, with “Inside Cancer” being more traditional and instructor led. The authors used social network analysis (SNA) for the research. It is a key tool to understand interactions in an online environment and allows quantitative comparison between different networks and thus between courses. In the context of digital pedagogy, the authors used a number of relevant SNA metrics to carry out analysis of MOOC network structures.

Findings
It was found that MOOCs are different in their network structure but tend to adapt to the subject matter. Digital pedagogies for sustainability result in a qualitative as well as quantitative change in learning where course design affects the learning process and gatekeepers are critical for information flow. These gatekeepers are distinct from tutors in the network. In such a network, tutors’ role is limited to course delivery and verifying, depending on course content, the information within the network. The analysis shows that network learning is dependent on course design and content, and gatekeepers exercise influence over the information within the network.

Originality/value
This study has implications for sustainability literacy. The authors examined the extent to which patterns of interaction in the network affect the learning process, and how this can help participants engage with the concept of sustainability. They used SNA to explore the nature of interaction between learners in a MOOC, particularly the role of the tutors in mediating such interactions. They also found that tutors can and do take a central role in early runs of the MOOC; however, with the subsequent runs, the removal of tutor nodes has little effect, suggesting that different modes of learning driven by participants are possible in a MOOC community.
The contextual nature of the association between managerial ability and audit fees
Authors: Li Yutao , Luo Yan 
Published: February 2017

PurposeThis study examines whether auditors’ pricing decisions on managerial ability are affected by auditor litigation risk (financial distress or financial crisis), auditor’s familiarity with their client or regulatory changes in the post-Sarbanes–Oxley Act of 2002 (SOX) era.Design/methodology/approachBuilding on the extant audit fee literature, this study constructs an audit fee determinants model to examine how context affects auditors’ pricing of managerial ability.FindingsAuditors offer a larger fee discount to more able client management teams when auditors face lower litigation risks or are more familiar with the client. Furthermore, managerial ability has a more pronounced effect on audit fees in the post-SOX era when managers are mandated to play more active roles in financial reporting (i.e. certification of financial statements required by SOX 302).Research limitations/implicationsBased on the audit risk model (Simunic, 1980), Krishnan and Wang (2015) show that the managerial ability of an audit client is relevant and important to auditors’ pricing decisions. This study demonstrates that managerial ability exhibits a non-linear relationship with audit fees and contextual factors, such as litigation risk, and that auditors’ familiarity with managers can alter the negative association between audit fees and managerial ability. This study extends Krishnan and Wang’s study by offering additional insights into auditors’ use of soft information such as managerial ability. Furthermore, the findings add to the literature on the impact of SOX on audit fees by suggesting that SOX has not only increased overall audit fees (Ghosh and Pawlewicz, 2009; Huanget al., 2009), it has also increased auditors’ price sensitivity to soft information (e.g. managerial ability).Practical implicationsThis study provides insights for audit firms and client companies who are interested in understanding audit fee-pricing decisions. The findings also suggest that auditors need to be sensitive and responsive to various contextual factors when making pricing decisions.Originality/valuePrevious studies have not addressed the non-linear relationship between audit fees and soft information about managerial ability.