755,692 research outputs found
Tensors for neuroimaging: A review on applications of tensors to unravel the mysteries of the brain
No full textNeuroimaging techniques are used to image the structure and function of the nervous system for medicine, psychology, and neuroscience research. Brain data are inherently multidimensional and complex, and the recent advances in neuroimaging allow the acquisition of brain signals at an increasing spatiotemporal resolution. Being able to process the resulting large-scale data and capturing the multiway structure of the brain, tensor-based analyses are well suited for a variety of neuroimaging applications. In this review, we provide a comprehensive overview of successful tensor-based solutions used in the field of neuroimaging discuss practical challenges and the future of tensors in medical technology.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
[Handwritten list of names by an unknown author #1]
No full textHandwritten note by an unknown author, listing various names
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Evaporation induced self-assembly and characterization of nanoparticulate films: a new route to bulk heterojunctions
No full textPolymer-based semiconducting materials are promising candidates for large-scale, low-cost photovoltaic devices. To date, the efficiency of these devices has been low in part because of the challenge of optimizing molecular packing while also obtaining a bicontinuous structure with a characteristic length comparable to the exciton diffusion length of 10 to 20 nm. In this dissertation we developed an innovative evaporation-induced nanoparticle self-assembly technique, which could be an effective approach to fabricate uniform, densely packed, smooth thin films with cm-scale area from home-made P3HT nanoparticles. Unlike the previous reports of nanoparticle-based film formation, we use a mixture of two solvents so that the solvent quality slowly decreases over time and particles aggregate at the air-liquid interface. The charge mobility of P3HT nanoparticle film fabricated using this technique is very similar to that of drop-cast P3HT films. Sintering (i.e. formation of contact discs between particles) and the effect of different size distribution of nanoparticle dispersion on film charge mobility were also studied. Binary films composed of P3HT and PCBM can be obtained using the same method from a suspension containing both P3HT and PCBM nanoparticles. The existence of PCBM in binary films was confirmed, and the relative composition of the two types of particles as a function of film-formation time was measured. Moreover, we show how to control the internal, molecular-scale structure within the P3HT nanoparticles and the absorption spectra by slowing the process of particle formation. These results provide an example of manipulating one phase of the active layer of OPV devices independently of the other phase.PhysicsDoctor of Philosophy (Ph.D.
Crisis management, global challenges, and sustainable development from an Asian perspective
No full textMapping the Discipline of the Olympic Games An Author-Cocitation Analysis
No full textThe authors conducted an author cocitation analysis on prominent authors writing about the Olympics during the 1990s. Author cocitation is an established bibliometric technique that can be used to measure the relative similarities of topics written about by the cited authors. This enables a visual representation of the “intellectual space” of the discipline, in this case the Olympics, to be created for the period under review. So core and peripheral research areas are identified, along with their major contributors. The representation appears as a two-dimensional cluster-enhanced map. Subject expertise was then applied to the results to place labels on the generated clusters of authors and their topics
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Variations on the Author
No full text“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
Efficient teacher-student architectures for Human Activity Recognition via soft labels and binarization
No full textHuman Activity Recognition (HAR) applications are most commonly deployed on embedded systems with limited computational resources. Our work focuses on applying deep learning methods to HAR and developing compact architectures. The first chapter of this report introduces a novel label representation for HAR in which we introduce the soft label shown to be capable of inducing better representation performance than that of the one-hot label. We will further investigate the teacher-student architecture for HAR. In our approach, we incorporate soft label by the teacher that supervises the next generation of training via the students. Experiments on 3 benchmark datasets, widely used in the community, which confirm that after a few generations of training, the model's performance surpasses that of the one-hot label. We also introduce the ECE, to avoid over-confident predictions, we use ECE as a performance metric, to evaluate the calibration performance of the HAR models. The experimental results also confirm that the teacher-student architecture effectively reduces the ECE and trains well-calibrated networks. In the second chapter of this report, we evaluate the application of Binary Neural Networks (BNNs) in Human Activity Recognition (HAR) more suitable for constraints of embedded systems the features of embedded systems. Our goal is to significantly reduce the storage requirements and forward propagation latency of the model. We use XNOR-Net as the backbone architecture, where the weights, activation functions, and inputs to the convolutional layer are binary. The most crucial aspect is that the convolution operation is replaced by XNOR, resulting in a 32-fold reduction in memory usage and a 58-fold reduction in convolution operation latency. This enables operations to be performed on CPUs with limited computing power, rather than powerful GPUs, in most cases. We also examine the impact of using BNNs on the model's performance and the potential for transfer learning. Our findings show that these benefits do not come at the cost of accuracy or Expected Calibration Error (ECE) performance. However, the dataset we used has different sensors in different body parts, making transfer learning challenging. In the third chapter, we study the application of a hybrid XNOR-Net and teacher-student architecture in HAR. The teacher network is first trained with a hard label that supervises the BNN student networks. Our approach improves the performance of future generations (i.e., the students of the student). Finally, as part of our previous research, we participated in the OU-ISIR Wearable Sensor-based Gait Challenge in 2019 as part of an international competition in HAR and finished as runners-up. This involved gender and age-related multitasking learning. The gradient normalization algorithm was used in conjunction with the hybrid ResNet and BLSTM blocks. However, we no longer use it in subsequent research as the employed dataset is a single classification challenge rather than multi-task learning. This research contributes to the ongoing advancement in HAR, offering insights and methodologies that may inspire future research in this field
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
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