bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Population-Based Study of Care at the End of Life Among People With HIV in Ontario From 2010 to 2013
Authors: Kendall Claire E. , Chalifoux Mathieu , Manuel Doug , Reinhard Robert , Robinson Gregory , Bacon Jean , Rourke Sean B. , Rosenes Ron , Tanuseputro Peter 
Published: December 2016

Background:
Aging and increasing comorbidity is changing the end-of-life experience of people living with HIV (PLHIV) in the developed world. We quantified, at a population level, the receipt of health care services and associated costs across a comprehensive set of sectors among decedents with and without HIV.

Methods:
We conducted a retrospective population-level observational study of all decedents in Ontario and their receipt of health care services, captured through linked health administrative databases, between April 1, 2010 and March 31, 2013. We identified PLHIV using a validated algorithm. We described the characteristics of PLHIV and their receipt of health care services and associated costs by health care sector in the last year of life.

Results:
We observed 264,754 eligible deaths, 570 of whom had HIV. PLHIV were significantly younger than those without HIV (mean age of death 56.1 years vs. 76.6 years, [P < 0.01]). PLHIV spent a mean of 20.0 days in an acute care hospital in the last 90 days of life compared with 12.1 days for decedents without HIV (P < 0.01); after adjustment, HIV was associated with 4.5 more acute care days (P < 0.01). Mean cost of care in the last year was significantly higher among PLHIV ($80,885.62 vs. $53,869.77), mostly attributable to acute care costs.

Interpretation:
PLHIV in Ontario are dying younger, spending more time and dying more often in hospital, and incur significantly increased costs before death. Greater involvement of community-based palliative care may improve the dying experience for this complex population.
Artificial vision: principles and prospects
Authors: Gilhooley Michael J. , Acheson James 
Published: December 2016

Purpose of review
The aim of this article is to give an overview of the strategies and technologies currently under development to return vision to blind patients and will answer the question: What options exist for artificial vision in patients blind from retinal disease; how close are these to clinical practice?

Recent findings
Retinal approaches will be the focus of this review as they are most advanced in terms not only of development, but entry into the imagination of the general public; they are technologies patients ask about, but may be less familiar to practicing neurologists.
The prerequisites for retinal survivor cell stimulation are discussed, followed by consideration of the state of the art of four promising methods making use of this principle: electronic prostheses, stem cells, gene therapy and the developing field of ophthalmic optogenetics.

Summary
Human applications of artificial vision by survivor cell stimulation are certainly with us in the research clinic and very close to commercialization and general use. This, together with their place in the public consciousness, makes the overview provided by this review particularly helpful to practicing neurologists.
Structural and Functional Analyses in Nonarteritic Anterior Ischemic Optic Neuropathy: Optical Coherence Tomography Angiography Study
Authors: Hata Masayuki , Oishi Akio , Muraoka Yuki , Miyamoto Kazuaki , Kawai Kentaro , Yokota Satoshi , Fujimoto Masahiro , Miyata Manabu , Yoshimura Nagahisa 
Published: December 2016

Background:
Retinal and optic disc perfusion in nonarteritic anterior ischemic optic neuropathy (NAION) is incompletely understood. Our aim was to investigate the characteristics of the microvascular structures at the peripapillary area and optic disc, and their associations with retinal structure and function in patients with NAION.

Methods:
We conducted a prospective, observational case series study. Thirty-four eyes, consisting of 15 NAION eyes and 19 normal eyes, were included. Optical coherence tomography (OCT) angiography was used to measure the vessel densities in the peripapillary superficial retina and whole-depth mode inside the optic disc. Measurement of circumpapillary retinal nerve fiber layer (cpRNFL) thickness was performed using OCT. Sectorial division analysis of cpRNFL was performed by eliminating the influences of the difference in disc rotation between OCT images and OCT angiography images.

Results:
The vessel densities of peripapillary retina and inside the optic disc were significantly reduced in the NAION compared to the normal (both P < 0.001). Both the severity of visual field defect and cpRNFL thinning were significantly associated with the peripapillary vessel density (P = 0.006, P = 0.046), but not with the optic disc vessel density (P = 0.981, P = 0.856). cpRNFL and peripapillary vessel density showed reduction predominantly in the superior sectors, corresponding to the visual field defect. However, the correlations showed discrepancy of the sectors.

Conclusions:
The microvascular structures in the peripapillary retina and optic disc were reduced, but the cpRNFL thinning was associated with vessel density only in the peripapillary retina, indicating that the vessel densities in the peripapillary retina and optic disc may be differently affected in the pathological process of NAION.
The Fruit Fly Brain Observatory: from structure to function
Authors: Ukani Nikul H. , Yeh Chung-Heng , Tomkins Adam , Zhou Yiyin , Florescu Dorian , Ortiz Carlos Luna , Huang Yu-Chi , Wang Cheng-Te , Richmond Paul , Lo Chung-Chuan , Coca Daniel , Chiang Ann-Shyn , Lazar Aurel A. 
Published: December 2016

SummaryThe Fruit Fly Brain Observatory (FFBO) is a collaborative effort between experimentalists, theorists and computational neuroscientists at Columbia University, National Tsing Hua University and Sheffield University with the goal to (i) create an open platform for the emulation and biological validation of fruit fly brain models in health and disease, (ii) standardize tools and methods for graphical rendering, representation and manipulation of brain circuits, (iii) standardize tools for representation of fruit fly brain data and its abstractions and support for natural language queries, (iv) create a focus for the neuroscience community with interests in the fruit fly brain and encourage the sharing of fruit fly brain structural data and executable code worldwide. NeuroNLP and NeuroGFX, two key FFBO applications, aim to address two major challenges, respectively: i) seamlessly integrate structural and genetic data from multiple sources that can be intuitively queried, effectively visualized and extensively manipulated, ii) devise executable brain circuit models anchored in structural data for understanding and developing novel hypotheses about brain function. NeuroNLP enables researchers to use plain English (or other languages) to probe biological data that are integrated into a novel database system, called NeuroArch, that we developed for integrating biological and abstract data models of the fruit fly brain. With powerful 3D graphical visualization, NeuroNLP presents a highly accessible portal for the fruit fly brain data. NeuroGFX provides users highly intuitive tools to execute neural circuit models with Neurokernel, an open-source platform for emulating the fruit fly brain, with full data support from the NeuroArch database and visualization support from an interactive graphical interface. Brain circuits can be configured with high flexibility and investigated on multiple levels, e.g., whole brain, neuropil, and local circuit levels. The FFBO is publicly available and accessible athttp://fruitflybrain.orgfrom any modern web browsers, including those running on smartphones.
NeuroGFX: a graphical functional explorer for fruit fly brain circuits
Authors: Yeh Chung-Heng , Zhou Yiyin , Ukani Nikul H. , Lazar Aurel A. 
Published: December 2016

SummaryRecently, multiple focused efforts have resulted in substantial increase in the availability of connectome data in the fruit fly brain. Elucidating neural circuit function from such structural data calls for a scalable computational modeling methodology. We propose such a methodology that includes i) a brain emulation engine, with an architecture that can tackle the complexity of whole brain modeling, ii) a database that supports tight integration of biological and modeling data along with support for domain specific queries and circuit transformations, and iii) a graphical interface that allows for total flexibility in configuring neural circuits and visualizing run-time results, both anchored on model abstractions closely reflecting biological structure. Towards the realization of such a methodology, we have developed NeuroGFX and integrated it into the architecture of the Fruit Fly Brain Observatory (http://fruitflybrain.org). The computational infrastructure in NeuroGFX is provided by Neurokernel, an open source platform for the emulation of the fruit fly brain, and NeuroArch, a database for querying and executing fruit fly brain circuits. The integration of the two enables the algorithmic construction/manipulation/revision of executable circuits on multiple levels of abstraction of the same model organism. The power of this computational infrastructure can be leveraged through an intuitive graphical interface that allows visualizing execution results in the context of biological structure. This provides an environment where computational researchers can present configurable, executable neural circuits, and experimental scientists can easily explore circuit structure and function ultimately leading to biological validation. With these capabilities, NeuroGFX enables the exploration of function from circuit structure at whole brain, neuropil, and local circuit level of abstraction. By allowing for independently developed models to be integrated at the architectural level, NeuroGFX provides an open plug and play, collaborative environment for whole brain computational modeling of the fruit fly.
Data Reuse and the Social Capital of Open Science
Authors: Alicea Bradly 
Published: December 2016

ABSTRACTParticipation in open data initiatives require two semi-independent actions: the sharing of data produced by a researcher or group, and a consumer of shared data. Consumers of shared data range from people interested in validating the results of a given study to people who actively transform the available data. These data transformers are of particular interest because they add value to the shared data set through the discovery of new relationships and information which can in turn be shared with the same community. The complex and often reciprocal relationship between producers and consumers can be better understood using game theory, namely by using three variations of the Prisoners’ Dilemma (PD): a classical PD payoff matrix, a simulation of the PDn-person iterative model that tests three hypotheses, and an Ideological Game Theory (IGT) model used to formulate how sharing strategies might be implemented in a specific institutional culture. To motivate these analyses, data sharing is presented as a trade-off between economic and social payoffs. This is demonstrated as a series of payoff matrices describing situations ranging from ubiquitous acceptance of Open Science principles to a community standard of complete non-cooperation. Further context is provided through the IGT model, which allows from the modeling of cultural biases and beliefs that influence open science decision-making. A vision for building a CC-BY economy are then discussed using an approach called econosemantics, which complements the treatment of data sharing as a complex system of transactions enabled by social capital.
Disentangled Long-Read De Bruijn Graphs via Optical Maps
Authors: Alipanahi Bahar , Salmela Leena , Puglisi Simon J. , Muggli Martin , Boucher Christina 
Published: December 2016

AbstractPacific Biosciences (PacBio), the main third generation sequencing technology can produce scalable, high-throughput, unprecedented sequencing results through long reads with uniform coverage. Although these long reads have been shown to increase the quality of draft genomes in repetitive regions, fundamental computational challenges remain in overcoming their high error rate and assembling them efficiently. In this paper we show that the de Bruijn graph built on the long reads can be efficiently and substantially disentangled using optical mapping data as auxiliary information. Fundamental to our approach is the use of the positional de Bruijn graph and a succinct data structure for constructing and traversing this graph. Our experimental results show that over 97.7% of directed cycles have been removed from the resulting positional de Bruijn graph as compared to its non-positional counterpart. Our results thus indicate that disentangling the de Bruijn graph using positional information is a promising direction for developing a simple and efficient assembly algorithm for long reads.
Faculty-student perceptions about entrepreneurship in six countries
Authors: Pruett Mark , Şeşen Harun 
Published: December 2016

Purpose
In what may be the first study of its kind in business and entrepreneurship, the purpose of this paper is to compare faculty and student perceptions and beliefs about entrepreneurship motives and barriers and student aspirations in order to explore implications for entrepreneurship education (EE).

Design/methodology/approach
The authors survey 3,037 students and faculty in the USA, China, India, Turkey, Belgium, and Spain, focusing on perceptions of entrepreneurship motives and barriers. Factor analysis organizes data for comparisons and regressions.

Findings
The authors find significant faculty-student differences in views of entrepreneurship motives and barriers, university environments, and student aspirations. An especially important finding is that, across six countries with widely varying cultures, economies, and entrepreneurial environments, students consistently see themselves as more entrepreneurial than the faculty perceive.

Research limitations/implications
Limitations include sample size and self-reporting. The authors also have focused on the significance of differences in perceptions, not on whether faculty or student perceptions are correct. A major implication of the study is that EE curricula need to be assessed in terms of their impact on the self-confidence, risk aversion, and entrepreneurial disposition of students.

Originality/value
The authors shine light on an overlooked topic – faculty-student perceptual alignment – to stimulate research and strengthen EE, especially regarding students’ self-confidence and views of failure and risk.
Factors for successful e-learning: does age matter?
Authors: Fleming Julie , Becker Karen , Newton Cameron 
Published: December 2016

PurposeThe purpose of this paper is to examine the factors affecting employees’ overall acceptance, satisfaction and future use of e-learning, specifically exploring the impact that age has on the intended future use of e-learning relative to the other potential predictors.Design/methodology/approachThe project developed an online survey and invited employees of one Australian rail organisation to participate. Questions were structured around the factors that affect acceptance and future use of e-learning. Statistical analysis was used.FindingsThe findings from the study suggest that, despite the often espoused stereotype, age is not a significant factor impacting either future use intentions or satisfaction with e-learning. In contrast, three variables were found to be useful predictors of intention for future use of organisational e-learning; low complexity, authenticity and technical support.Research limitations/implicationsThe study did not consider other moderating effects related to demographic data other than age, such as educational experience. Further, the case presented is a single organisation and therefore is not necessarily representative of other industries. Future studies should adopt a mixed methods approach.Practical implicationsThis study has emphasised that attention needs to be focussed on factors over which organisations have control when adopting and using e-learning. Employee age should not be seen as an obstacle to e-learning implementation, rather attention needs to turn to effective and user-friendly e-learning interventions along with sufficient technology support.Originality/valuePerceptions within industry and indeed in some literature, suggest that employee age stereotypes still exist in relation to technology uptake. This research has demonstrated that this stereotype is an erroneous assumption and emphasised the importance of other factors.
Predicting faculty membership – application of student choice logit model
Authors: Kopanidis Foula Zografina , Shaw Michael John 
Published: December 2016

Purpose
Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students’ preferences when choosing to study in a particular faculty through the application and testing of a student choice logit model based on data collected from a survey of existing students.

Design/methodology/approach
Logistic regression techniques were used to estimate the probability of undergraduate prospective students’ choices with reference to a set of variables that allows for the prediction and classification of students (n=304) at an Australian university. Using the estimated coefficients of both student characteristics and psychological variables, probability outputs were constructed to compute the faculty membership for student groups. Outputs were also illustrated via a set of simulation analyses.

Findings
The results of the student choice logit model are highly significant suggesting demographic, socioeconomic and psychological variables play a role in the prediction of faculty membership of undergraduate students.

Practical implications
These findings have implications for researchers, educational policy makers and career planners. The study also suggests that these policies should take into account the complexities of multi-attribute influences on students’ decision-making choices.

Originality/value
This research offers an innovative marketing use of logistics regression techniques with application of the student choice logit model through predicting the likelihood of faculty membership in an education context.
Transition from school-based training in VET
Authors: Dæhlen Marianne 
Published: December 2016

Purpose
This paper assesses the drop-out rate among disadvantaged students within vocational education and training. The purpose of this paper is to examine the probability of dropping out after school-based training for child welfare clients – a particularly disadvantaged group of youth. Child welfare clients’ drop-out rate is compared with students from a representative sample of their peers.

Design/methodology/approach
Average marginal effects were calculated from multinomial logistic regression models. Data were from public registries (n=10,535).

Findings
The results show that differences in observed characteristics cannot explain differences in drop-out rates between child welfare clients and the majority peers. It is argued that this drop-out rate is likely a result of employers favoring apprenticeship applicants who are similar to them or that child welfare clients lack networks, which previous research has identified as crucial in finding an apprenticeship.

Practical implications
The results suggest a need for action targeting disadvantaged youths in the transition that follows school-based training.

Originality/value
The paper adds to the very scarce literature on transition from school-based learning to apprenticeships.
Review of the development of seafarers in Hong Kong
Authors: Tai Sik Kwan 
Published: December 2016

Purpose
The purpose of this paper is to review the development of registered seafarers working onboard Hong Kong ships.

Design/methodology/approach
Data obtained from the Marine Department showing the number of registered seafarers from 1960 to 2015.

Findings
The registered seafarers can be observed in three different stages, namely, the peak stage from 1960 to 1982, the declining stage from 1983 to 1996 and the reforming stage from 1997 to 2015.

Originality/value
Very few papers can be found in Hong Kong to review the development of registered seafarers from 1960 to 2015.
The role of motivation in relating green supply chain management to performance
Authors: Vanpoucke Evelyne , Quintens Lieven , Van Engelshoven Merel 
Published: December 2016

PurposeNot all companies deal with green supply chain management (GSCM) in the same way. The purpose of this paper is to understand a company’s GSCM motivation and how this motivation is linked to stakeholder pressures, a company’s GSCM practices and performance.Design/methodology/approachThe authors report the findings of a survey on GSCM motivations.FindingsClear differences are seen in why companies are motivated to pursue GSCM. Based on these different motivations, this paper explains differences in perceived stakeholder pressure and performance.Research limitations/implicationsGSCM motivation is a sensitive topic and as such might cause respondents to provide socially desired answers. However, the analyses show clear variances in the answers, indicating that the measures put forth by the authors are valid.Social implicationsThis study shows that to achieve sustainable GSCM, companies can be motivated in various ways. Also, stakeholders can learn from this study: they need to focus their attention toward companies whom they have the highest impact on.Originality/valueFirst, this study tests a framework for GSCM motivations and shows that motivation mediates the relationship between stakeholder pressures and performance. Second, this study shows that these differences in motivation impact performance outcomes.
Antecedents and consequences of supply chain information integration: a resource-based view
Authors: Huo Baofeng , Han Zhaojun , Prajogo Daniel 
Published: December 2016

PurposeThis paper aims to investigate the antecedents of supply chain information integration (SCII) and their consequences on company performance from the perspective of resource-based view (RBV).Design/methodology/approachBased on empirical survey data collected from 202 Australian manufacturers, this study examines the effects of strategic supply chain relationship (SCR) and supply chain technology (SCT) internalization on external and internal information integration (II) and the effects of external and internal II on operational (operational efficiency and service quality) and financial performance. Structural equation modeling and the maximum-likelihood estimation methods are used to test the proposed relationships.FindingsThe results indicate that both strategic SCR and SCT internalization are positively related to external and internal II. Moreover, strategic SCR has a stronger positive relationship with external II than with internal II, and SCT internalization has a stronger positive relationship with internal II than with external II. Internal II is positively related only to service quality, and external II is positively related only to operational efficiency. Both operational efficiency and service quality are positively related to financial performance.Originality/valueThis study contributes to the SCII literature and provides significant managerial implications for manufacturers to leverage their supply chain resources and capabilities by establishing a resources-capabilities-performance framework for the antecedents and consequences of SCII.