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Detection of developmental deficits in epileptic children using multimodal tensor decomposition techniques
No full textEarly childhood epilepsy can affect the child’s development and lead to developmental deficits.
Early detection and intervention are key to enabling the child to develop normally. Resting
state electroencephalogram (EEG) and Magnetic resonance imaging (MRI) are the main tools
clinicians use to diagnose children with epilepsy. This motivates us to take advantage of
these available data and jointly analyse them to explore the features related to developmental
deficits and predict the developmental scores of newly-onset patients. In particular, our work
considers EEG information, sMRI volumetric data, and psychometric evaluation scores. We
use matrix-tensor decompositions to analyse the shared features between each modality all
at once. This allows us to investigate the occurrence of shared profiles in EEG and sMRI
related to developmental impairment. Hence, this thesis develops data fusion methods based
on well-established tensor decomposition methods (canonical polyadic decomposition, CPD;
block term decomposition, BTD; and Tucker decomposition, TD). The methods are validated
in a publicly available dataset with healthy children (Child Mind Institute: CMI) and, more
importantly, in a local dataset of preschool children with epilepsy (NEUROPROFILE: Neu).
First, the thesis focuses on a CPD data fusion model, which decomposes the multi-way data
into a sum of rank-one factor matrices with the subject factor shared across three modalities.
The model is optimised via grid search. The CPD model reveals distinct features associated
with developmental deficits that agree with prior clinical knowledge. Then, we expand the
model through direct projection to predict the developmental scores from EEG and sMRI
data. A support vector machine (SVM) is used as a benchmark to compare the predicted score
performance. The result reveals CPD model is better at estimating the developmental scores
than the SVM. The CPD shows the feasibility of score prediction but still lacks the ability to
correctly identify the deficits, which highlights the need for a more flexible data fusion model.
Next, the thesis adopts block term decomposition (BTD) to bring in additional flexibility in the
modelling of the EEG tensor data. In BTD (Lᵣ,Lᵣ, 1), one mode of interest is fixed to rank
one while the others vary together to rank L. Subjects with missing scores and more sMRI
regions and sub-scores are included in this analysis. Bayesian optimisation is applied to reduce
the hyperparameter optimisation time. The results show that BTD (Lᵣ,Lᵣ, 1) can extract
additional features related to the deficits that the CPD model does not pick up. Then, we built
a model to predict the developmental scores. Overall, the prediction from BTD is generally
better than the CPD. However, the result shows both models may not be fully compatible with
EEG tensors and suggests the need for a better-fit model.
Therefore, we adopt TD as a flexible model for the EEG data. TD can decompose tensors into
factor matrices with different ranks interacting through a core tensor. However, TD without
constraints is not unique. Thus, we promote the sparseness in the TD core tensor in our
joint decomposition. In addition, we use structural connectivity information in the form of
diffusion tensor imaging (DTI) as a graph regularisation to the data fusion model to promote
interpretability. The effects of each constraint are investigated, and the most stable result is
extended to predict the scores. Since not all the patients have DTI data, the score prediction is
executed for both patients with and without DTI. Implementing the DTI graph regularisation
is found to result in predicted scores in a more plausible range. The sparse core TD with graph
regularisation performs best with the Neu dataset. However, some deficit patients are estimated
to score within the normal range, which does not fulfil the aim of identifying deficits accurately.
In addition, and given that the BTD (Lᵣ,Lᵣ, 1) tensor decomposition is closely related to
CPD, we investigate and expand the existing principle of CPD core consistency diagnosis
(CORCONDIA) to BTD (Lᵣ,Lᵣ, 1). BTDCORCONDIA is built to assist in determining
the number of components and the data compatibility to the model. The model is tested
with simulated and real EEG tensor data. We show that data generated with a unique core
compatible with BTD (Lᵣ,Lᵣ, 1) results in BTDCORCONDIA values of ∼ 100%. In contrast,
incompatible data will lead to low values. The result confirms that it is possible to perform a
core consistency diagnosis to check the compatibility between the model and data in BTD.
In summary, multimodal data fusion of paediatric brain data through matrix-tensor
decomposition offers a new approach to studying the shared underlying profiles and
developmental status of children with neurological diseases such as epilepsy. This could be
a stepping stone for future research seeking to integrate and adopt data fusion approaches
as additional tools for clinicians to prioritise children for an exhaustive assessment of their development
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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