cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Analysis of the impact of education on poverty reduction in Kinshasa and Lubumbashi
Creators: name: Mwamba Kande Franklin
name: Oshasha Oshasha Fiston
name: Biaba Kuya Jirince
name: Muhindo Rugishi Guy
name: Frey Sylvestre
name: Iwazie Pelepoko Jonathan
Publisher: name: Zenodo
Year: 2024

description: Almost every country in the world suffers from poverty, and the DRC is not left out either (Sachs 2005). This paper questions the role of education in improving the condition of households in Kinshasa and Lubumbashi, hence contributing knowledge to reduction policies on this problem.

We categorize poor and non-poor households using results from the 1-2-3 2005 survey by INS (INS 2005). In Kinshasa, the poverty incidence is 42.53%, while the depth is 13.04% and the severity is 5.82%. For Lubumbashi, these are 66.86%, 34.55%, and 20.69%, respectively. Thus, financial difficulties cause 28.88% of the children dropping out of school in Kinshasa compared to their percentage share of 54.17% in Lubumbashi. In this city, poverty is more severe.

This descriptive analysis shows that poorly educated persons in Lubumbashi account for 89.55% of the population, while in Kinshasa, the percentage is 55.56%. While in Kinshasa, the poverty rate is 16.34%, in the case of Lubumbashi, it is 26.53% for people who got a university education.

Logistic regression results portray getting a degree as the ideal path to avoiding poverty.
Low-metallicity stellar halo populations as tracers of dark matter haloes
Creators: name: Tissera, Patricia B.
name: Scannapieco, Cecilia
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We analyse the density profiles of the stellar halo populations in eight Milky-Way mass galaxies, simulated within the $Λ$-Cold Dark Matter scenario. We find that accreted stars can be well-fitted by an Einasto profile, as well as any subsample defined according to metallicity. We detect a clear correlation between the Einasto fitting parameters of the low-metallicity stellar populations and those of the dark matter haloes. The correlations for stars with [Fe/H]$
description: 5 pages,3 figures, MNRAS Letters accepted
Vector particles tunneling from BTZ black holes
Creators: name: Chen, Ge-Rui
name: Zhou, Shiwei
name: Huang, Yong-Chang
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper we investigate vector particles' Hawking radiation from a BTZ black hole. By applying the WKB approximation and the Hamilton-Jacobi Ansatz to the Proca equation, we obtain the tunneling spectrum of vector particles. The expected Hawking temperature is recovered.
UAG UAG UAG UAG. ....und wir werden unsere Wahlversprechen halten; 1968
Creators: name: (:Unav)
Publisher: name: Universitätsbibliothek der Technischen Universität Berlin
Year: 2018

description: Enthält u. a.: Kritik an den Wahlversprechen der Unabhängigen Aktionsgemeinschaft an der TU Berlin (UAG).- Karrikatur "....und wir werden unsere Wahlversprechen halten, so wahr ich hier stehe". 1 Seite. Skizze einer sitzenden Person am Pult vor Publikum unter einem Banner mit UAG, Bildunterschrift: ....und wir werden unsere Wahlversprechen halten, so wahr ich hier stehe, s/w.
A diffusion tensor MRI atlas of the postmortem rhesus macaque brain
Creators: name: Johnson, G. Allan
name: Coe, Christopher L.
name: Badea, Alexandra
name: Lubach, Gabriele R.
name: Calabrese, Evan
name: Styner, Martin A.
name: Shi, Yundi
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: The rhesus macaque (Macaca mulatta) is the most widely used nonhuman primate for modeling the structure and function of the brain. Brain atlases, and particularly those based on magnetic resonance imaging (MRI), have become important tools for understanding normal brain structure, and for identifying structural abnormalities resulting from disease states, exposures, and/or aging. Diffusion tensor imaging (DTI) -based MRI brain atlases are widely used in both human and macaque brain imaging studies because of the unique contrasts, quantitative diffusion metrics, and diffusion tractography that they can provide. Previous MRI and DTI atlases of the rhesus brain have been limited by low contrast and/or low spatial resolution imaging. Here we present a microscopic resolution MRI/DTI atlas of the rhesus brain based on 10 postmortem brain specimens. The atlas includes both structural MRI and DTI image data, a detailed three-dimensional segmentation of 241 anatomic structures, diffusion tractography, cortical thickness estimates, and maps of anatomic variability amongst atlas specimens. This atlas incorporates many useful features from previous work, including anatomic label nomenclature and ontology, data orientation, and stereotaxic reference frame, and further extends prior analyses with the inclusion of high-resolution multi-contrast image data.
Godesberger Rektoren-Erklärung zur Hochschulreform; 1968
Creators: name: (:Unav)
Publisher: name: Universitätsbibliothek der Technischen Universität Berlin
Year: 2018

description: Enthält u. a.: Veröffentlichung der Godesberger Rektoren-Erklärung zur Hochschulreform vom 6. Jan. 1968.- Maschinenschriftliche Ergänzung: Unterschrieben von 38 westdeutschen Rektoren u. a. Kurt Weichselberger Rektor der Technischen Universität Berlin. 1 Seite. S/w.
Diffeomorphic Deformable Image Registration for Cardiac Magnetic Resonance Imaging (MRI)
Creators: Sheikhjafari, Ameneh
Publisher: name: University of Alberta Library
Year: 2022

Deformable registration of cardiac magnetic resonance imaging (MRI) is one of the crucial tasks in medical image analysis. It aims to find the unique transformation between images taken from the same scene at different times, from different views, and by different imaging modalities such as MRI and CT. The main goal of this thesis is to develop automated deformable registration methods, particularly improving the accuracy and robustness of image registration while preserving the topology and invertibility of the deformation.

Although deformation fields related to the point correspondence between a pair of images are high-dimensional, we propose a method that generates deformation fields from low-dimensional latent variables by minimizing a dissimilarity metric between a fixed and a warped moving image. This low-dimensional manifold formulation avoids the intractability associated with the high-dimensional search space that most other methods face during image registration.

Moreover, we propose an end-to-end learning-free multi-resolution framework. This method eliminates the need for a dedicated training set while exploiting the capabilities of neural networks to achieve accurate deformation fields. Since it is capable to share the parameters through the architecture, it can be used for Groupwise registration as well as pairwise registration. We integrated Gaussian filters with the GMCNet to impose a smoothness constraint which relaxes the need for an explicit regularization term and its corresponding weight in the cost function.

Additionally, we propose a learning-free diffeomorphic recursive framework, which models the changes in the deformation over multiple resolutions as opposed to the deformation itself. The final deformation is estimated by a solution to an ordinary differential equation (ODE). Thus, the resulting algorithm is recursive. Following this recursion, the moving image is warped successively and enables the final prediction to be decomposed into smaller displacements.

Finally, we present an end-to-end unsupervised diffeomorphic framework based on moving mesh parameterization. This new parameterization of the deformation field has three significant advantages; firstly, it relaxes the need for an explicit regularization term and its corresponding weight in the cost function. Secondly, it guarantees diffeomorphism through explicit constraints applied to the transformation of the Jacobian determinant. Finally, it is suitable for cardiac data since it parameterizes the deformation using radial and rotational components.
Volume 2, Fort Sam Houston Maintenance and Repair Plan: New Post
Creators: name: Walter, Chelsea
Year: 2004
Subjects: subject: JBSA-Sam Houston
valueUri: https://core.tdar.org/browse/geographic-keyword/82532/jbsa-sam-houston
subject: San Antonio
valueUri: https://core.tdar.org/browse/geographic-keyword/4149/san-antonio
subject: Bexar (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/4150/bexar-county
subject: Texas
valueUri: https://core.tdar.org/browse/geographic-keyword/6923/texas
subject: Historic
valueUri: https://core.tdar.org/browse/culture-keyword/25/historic
subject: Governmental Structure
valueUri: https://core.tdar.org/browse/site-type/318/governmental-structure
subject: Domestic Structures
valueUri: https://core.tdar.org/browse/site-type/256/domestic-structures
subject: Historic Governmental Structure
valueUri: https://core.tdar.org/browse/site-type/320/historic-governmental-structure
subject: Non-Domestic Structures
valueUri: https://core.tdar.org/browse/site-type/309/non-domestic-structures
subject: Domestic Structure or Architectural Complex
valueUri: https://core.tdar.org/browse/site-type/251/domestic-structure-or-architectural-complex
subject: Mission Revival
valueUri: https://core.tdar.org/browse/other-keyword/158305/mission-revival
subject: Spanish Colonial Revival
valueUri: https://core.tdar.org/browse/other-keyword/127724/spanish-colonial-revival
subject: Architectural Documentation
valueUri: https://core.tdar.org/browse/investigation-type/16/architectural-documentation
subject: Historic Background Research
valueUri: https://core.tdar.org/browse/investigation-type/18/historic-background-research
subject: Architectural Survey
valueUri: https://core.tdar.org/browse/investigation-type/2/architectural-survey
subject: Heritage Management
valueUri: https://core.tdar.org/browse/investigation-type/24/heritage-management

description: Fort Sam Houston’s buildings exhibit a variety of architectural influences because of its incremental development. Its four posts, the Quadrangle and Staff Post, Infantry Post, Cavalry and Light Artillery Post, and New Post, are excellent visual records of the Army’s planning ideals and the architectural styles employed during their respective construction periods. The various architectural styles include Italianate, Colonial Revival, Mission/Spanish Colonial Revival, Greek Revival, Classical Revival, and Romanesque. Of these styles, Mission/Spanish Colonial Revival was selected for buildings in the New Post. This style was sympathetic to the design of the surrounding civilian community and enabled quartermaster architects to take advantage of locally available construction materials and techniques. Additionally, it incorporated materials and design features that were well suited to the local climate.
Optimization of a high efficiency FEL amplifier
Creators: name: Schneidmiller, E. A.
name: Yurkov, M. V.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: The problem of an efficiency increase of an FEL amplifier is now of great practical importance. Technique of undulator tapering in the post-saturation regime is used at the existing x-ray FELs LCLS and SACLA, and is planned for use at the European XFEL, Swiss FEL, and PAL XFEL. There are also discussions on the future of high peak and average power FELs for scientific and industrial applications. In this paper we perform detailed analysis of the tapering strategies for high power seeded FEL amplifiers. Application of similarity techniques allows us to derive universal law of the undulator tapering.
description: 13 pages, 7 figures
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Creators: name: Blondé, Lionel
name: Strasser, Pablo
name: Kalousis, Alexandros
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Despite the recent success of reinforcement learning in various domains, these approaches remain, for the most part, deterringly sensitive to hyper-parameters and are often riddled with essential engineering feats allowing their success. We consider the case of off-policy generative adversarial imitation learning, and perform an in-depth review, qualitative and quantitative, of the method. We show that forcing the learned reward function to be local Lipschitz-continuous is a sine qua non condition for the method to perform well. We then study the effects of this necessary condition and provide several theoretical results involving the local Lipschitzness of the state-value function. We complement these guarantees with empirical evidence attesting to the strong positive effect that the consistent satisfaction of the Lipschitzness constraint on the reward has on imitation performance. Finally, we tackle a generic pessimistic reward preconditioning add-on spawning a large class of reward shaping methods, which makes the base method it is plugged into provably more robust, as shown in several additional theoretical guarantees. We then discuss these through a fine-grained lens and share our insights. Crucially, the guarantees derived and reported in this work are valid for any reward satisfying the Lipschitzness condition, nothing is specific to imitation. As such, these may be of independent interest.
description: Accepted for publication in Machine Learning 2022
A North American Carbon Exchange
Creators: name: McFadyen, Dan
name: Beltran, Leonardo
name: Moore, Michal
Publisher: name: The School of Public Policy Publications
Year: 2023

description: Mexico, the United States and Canada are three of the world’s most productive, diverse and interdependent economies in the world. In terms of energy systems, however, the three countries are incompletely interconnected and integrated in terms of infrastructure, reserves, operations and standards. This imposes costs, performance and security risks that affect GDP, labour and financial markets that could be mitigated through closer co-operative energy systems planning and interdependence. Future energy challenges facing the three countries, individually and collectively, are formidable. These include rising costs and increasing relative scarcity of both domestic and imported energy supplies, as well as environmental externalities associated with energy production and consumption. The three nations collectively possess a wide range of hydrocarbon reserves, underused non-renewable and renewable energy resources and untapped production and utilization technologies necessary for meeting future energy needs and mitigating the increasing impacts of climate change. Some co-operation is emerging between nations, such as the commitments from all three countries under the UN Climate Accord. Signed and announced in 2021, the commitments include 2030 targets on the path to net-zero emissions by 2050. While the adoption of global and sectoral carbon reduction goals by all three jurisdictions is positive, these commitments, supported by a tri-national carbon trading exchange, would incentivize the greater integration of North America’s energy markets through increased use of the lower carbon energy resources and technologies available in each jurisdiction. The result can be a more resilient energy sector, capable of meeting future demands for transportation, industry, heating and lighting loads that displace historically conventional energy supplies with renewable generation and alternatives that can support a future decarbonized region and world economy.
description: The School of Public Policy Publications, Vol. 15 No. 1 (2022)
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
Creators: name: Wang, Li
name: Li, Rongjian
name: Zhang, Wenlu
name: Ji, Shuiwang
name: Shen, Dinggang
name: Lin, Weili
name: Deng, Houtao
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) plays an important role in studying early brain development in health and disease. In the isointense stage (approximately 6–8 months of age), WM and GM exhibit similar levels of intensity in both T1 and T2 MR images, making the tissue segmentation very challenging. Only a small number of existing methods have been designed for tissue segmentation in this isointense stage; however, they only used a single T1 or T2 images, or the combination of T1 and T2 images. In this paper, we propose to use deep convolutional neural networks (CNNs) for segmenting isointense stage brain tissues using multi-modality MR images. CNNs are a type of deep models in which trainable filters and local neighborhood pooling operations are applied alternatingly on the raw input images, resulting in a hierarchy of increasingly complex features. Specifically, we used multimodality information from T1, T2, and fractional anisotropy (FA) images as inputs and then generated the segmentation maps as outputs. The multiple intermediate layers applied convolution, pooling, normalization, and other operations to capture the highly nonlinear mappings between inputs and outputs. We compared the performance of our approach with that of the commonly used segmentation methods on a set of manually segmented isointense stage brain images. Results showed that our proposed model significantly outperformed prior methods on infant brain tissue segmentation. In addition, our results indicated that integration of multi-modality images led to significant performance improvement.
The Coming Energy Transition: Industry’s Opportunities Are Not Just In Canada
Creators: name: Bazel, Philip
Publisher: name: The School of Public Policy Publications
Year: 2022

description: Global policy rhetoric suggests that a great energy transition will soon be underway, driven in large part by electric vehicle (EV) and fuel-efficiency mandates. Shifting away from carbon-emitting fossil fuels toward cleaner, renewable sources of electric energy will require no less than an order of magnitude more mined minerals and rare earth elements, and Canada has a limited share of these transition minerals. Most of North America’s critical transition minerals will have to come from reserves in South America, Africa, and the Caribbean as well as Australia and China, which will see economic growth from mining jobs and capital investments. The authors conclude that Canada’s participation in the energy transition mining market may hinge on the shape of its regulatory and taxation framework for mining companies.
description: The School of Public Policy Publications, Vol. 15 No. 1 (2022)
Die Basisgruppe Friedenau beschäftigt sich seit längerer Zeit mit..; 1968
Creators: name: (:Unav)
Publisher: name: Universitätsbibliothek der Technischen Universität Berlin
Year: 2018

description: Enthält u. a.: Darstellung und Stellungnahme des Sozialdemokratischen Hochschulbund (SHB) der durch die Basisgruppe Friedenau ermittelten Mängel und Vorfälle in der Strafanstalt Tegel.- Umgang mit Informanten.- Forderung nach sofortiger Versieglung der Küche und Vorratsräume.- Verweis auf Veröffentlichung der Extra-Dienst.- Nennung von an den Vorfällen Beteiligten. 1 Blatt. S/w.
Indigenous Land Rights in Australia: Lessons for a Canadian Northern Corridor
Creators: name: Mascher, Sharon
Publisher: name: The School of Public Policy Publications
Year: 2022

description: The Canadian Northern Corridor (CNC) research project is currently exploring the concept of creating a pan-Canadian infrastructure corridor consisting of a multi-modal (road, rail, pipeline, electrical transmission and communication) transportation right-of-way traversing Canada’s north and near north. With a goal of connecting Canada from north to south and coast to coast to coast, the CNC, and particularly any infrastructure built within it, would necessarily directly and indirectly affect a significant number of Indigenous communities and a diverse range of constitutionally protected rights and interests. As Canada commits to implementing the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP), the CNC must be conceptualized in a manner that ensures respect for the rights and interests of Indigenous communities along the corridor if it is to be a forward-looking, nation-building project.
description: The School of Public Policy Publications, Vol. 15 No. 1 (2022)
Consistent Use of the Standard Model Effective Potential
Creators: name: Andreassen, Anders
name: Frost, William
name: Schwartz, Matthew D.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The stability of the Standard Model is determined by the true minimum of the effective Higgs potential. We show that the potential at its minimum when computed by the traditional method is strongly dependent on the gauge parameter. It moreover depends on the scale where the potential is calculated. We provide a consistent method for determining absolute stability independent of both gauge and calculation scale, order by order in perturbation theory. This leads to a revised stability bounds mH > (129.4 \pm 2.3) GeV and mt < (171.2 \pm 0.3)GeV. We also show how to evaluate the effect of new physics on the stability bound without resorting to unphysical field values.
description: 5 pages, 5 figures
Ground State Properties in the Quasi-Classical Regime
Creators: name: Correggi, Michele
name: Falconi, Marco
name: Olivieri, Marco
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We study the ground state energy and ground states of systems coupling non-relativistic quantum particles and force-carrying Bose fields, such as radiation, in the quasi-classical approximation. The latter is very useful whenever the force-carrying field has a very large number of excitations,and thus behaves in a semiclassical way, while the non-relativistic particles, on the other hand, retain their microscopic features. We prove that the ground state energy of the fully microscopic model converges to the one of a nonlinear quasi-classical functional depending on both the particles' wave function and the classical configuration of the field. Equivalently, this energy can be interpreted as the lowest energy of a Pekar-like functional with an effective nonlinear interaction for the particles only. If the particles are confined, the ground state of the microscopic system converges as well, to a probability measure concentrated on the set of minimizers of the quasi-classical energy.
description: 52 pages, pdfLaTeX
Response from Stan Graves to Richard Strimel, Foulois House Building 107 Replacement Lavatories, Fort Sam Houston, Texas
Creators: name: Graves, Stanley O.
name: Jimenez, Demetrio
Publisher: name: Texas Historical Commission
Year: 1991
Subjects: subject: JBSA-Sam Houston
valueUri: https://core.tdar.org/browse/geographic-keyword/82532/jbsa-sam-houston
subject: San Antonio
valueUri: https://core.tdar.org/browse/geographic-keyword/4149/san-antonio
subject: Bexar (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/4150/bexar-county
subject: Texas
valueUri: https://core.tdar.org/browse/geographic-keyword/6923/texas
subject: Governmental Structure
valueUri: https://core.tdar.org/browse/site-type/318/governmental-structure
subject: Historic Governmental Structure
valueUri: https://core.tdar.org/browse/site-type/320/historic-governmental-structure
subject: Building 107
valueUri: https://core.tdar.org/browse/other-keyword/146271/building-107
subject: Foulois House
valueUri: https://core.tdar.org/browse/other-keyword/153826/foulois-house
subject: Folois House
valueUri: https://core.tdar.org/browse/other-keyword/156759/folois-house
subject: Architectural Documentation
valueUri: https://core.tdar.org/browse/investigation-type/16/architectural-documentation
subject: Heritage Management
valueUri: https://core.tdar.org/browse/investigation-type/24/heritage-management

description: This letter confirms that the Texas Historical Commission has received cut sheets of replacement lavatories and the components associated with the lavatories for the non-historic units located in the Foulois House at Fort Sam Houston. After review, the Commission has determined that the replacement elements will have "no adverse effect" on the historic structure.
Pretrained Faster RCNNs
Creators: name: Chen, Xinlei
Publisher: name: Zenodo
Year: 2022
Subjects: Deep Learning
Pretrained model
Convolutionnal neutal network

description: Pretrained Faster RCNN weights (from an old version of Faster RCNN)

 These weights can be deprecated for new version of Faster RCNN implementation (after 2020).

 These pretrained model are used in the following project : https://github.com/ngonthier/Mi_max

 You can find just below the corresponding architectures (VGG16, ResNet 101 or ResNet 152) and the name of the dataset used (VOC07, VOC12 or COCO).
 | -------------------------- | -------------------------- | | vgg16_VOC07 | vgg16_faster_rcnn_iter_70000.ckpt | | vgg16_VOC12 | vgg16_faster_rcnn_iter_110000.ckpt | | vgg16_COCO | vgg16_faster_rcnn_iter_1190000.ckpt | | res101_VOC07 | res101_faster_rcnn_iter_70000.ckpt | | res101_VOC12 | res101_faster_rcnn_iter_110000.ckpt | | res101_COCO | res101_faster_rcnn_iter_1190000.ckpt | | res152_COCO | res152_faster_rcnn_iter_1190000.ckpt |

 Please cite : @article{Gonthier18, author = "Gonthier, N. and Gousseau, Y. and Ladjal, S. and Bonfait, O.", title = "Weakly Supervised Object Detection in Artworks", booktitle = "Computer Vision -- ECCV 2018 Workshops", year = "2018", publisher = "Springer International Publishing", pages = "692--709" } @misc{gonthier2020multiple, title={Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts}, author={Nicolas Gonthier and Saïd Ladjal and Yann Gousseau}, year={2020}, eprint={2008.01178}, archivePrefix={arXiv}, primaryClass={cs.CV} }
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data
Creators: name: da Silva, Laura Angelica Tomaz
name: Elger, Christian
name: Weber, Bernd
name: Shen, Dinggang
name: Styner, Martin
name: Bonilha, Leonardo
name: Nesland, Travis
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: The objective of this study is to evaluate machine learning algorithms aimed at predicting surgical treatment outcomes in groups of patients with temporal lobe epilepsy (TLE) using only the structural brain connectome. Specifically, the brain connectome is reconstructed using white matter fiber tracts from presurgical diffusion tensor imaging. To achieve our objective, a two-stage connectome-based prediction framework is developed that gradually selects a small number of abnormal network connections that contribute to the surgical treatment outcome, and in each stage a linear kernel operation is used to further improve the accuracy of the learned classifier. Using a 10-fold cross validation strategy, the first stage in the connectome-based framework is able to separate patients with TLE from normal controls with 80% accuracy, and second stage in the connectome-based framework is able to correctly predict the surgical treatment outcome of patients with TLE with 70% accuracy. Compared to existing state-of-the-art methods that use VBM data, the proposed two-stage connectome-based prediction framework is a suitable alternative with comparable prediction performance. Our results additionally show that machine learning algorithms that exclusively use structural connectome data can predict treatment outcomes in epilepsy with similar accuracy compared with “expert-based” clinical decision. In summary, using the unprecedented information provided in the brain connectome, machine learning algorithms may uncover pathological changes in brain network organization and improve outcome forecasting in the context of epilepsy.
No feedback is possible in small-scale turbulent magnetic field
Creators: name: Zybin, K. P.
name: Il'yn, A. S.
name: Kopyev, A. V.
name: Sirota, V. A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: Evolution of stochastically homogeneous magnetic field advected by incompressible turbulent flow with large magnetic Prandtl numbers is considered at the scales less than Kolmogorov viscous scale. It is shown that, despite unlimited growth of the magnetic field, its feedback on the fluid's dynamics remains negligibly small.
description: 7 pages, 1 figure
To Coerce, or Not To Coerce? Assessing Policy Strategies To Regulate Small-Scale And Artisanal Mining In the Andes
Creators: name: Toledo Orozco, Zaraí
name: McKiernan, Katherine
Publisher: name: The School of Public Policy Publications
Year: 2022

description: Facing the rapid proliferation of artisanal and small-scale mining (ASM) in the 2000s, states with commodity-dependent economies pursued different strategies to regulate the activity. While some states have chosen to co-operate — that is, they have included informal miners in policy enforcement processes — others have chosen to coerce; that is, they have used heavy-handed policies against informal miners. This article assesses the effectiveness of these strategies in increasing compliance. We leverage a view of policy effectiveness that considers the type of state-society relations a policy fosters. We look at how different state-society relations impact the relevance a policy has to the subject it attempts to regulate. We argue that although imperfect, co-operation helps the state overcome its limitations on the knowledge of ASM and its limited institutional powers to enforce regulations alone. By learning about the activity in question and developing ties with the informal miners, the state can produce feasible regulation that is more likely to be followed. We build our theory using a parsimonious sequential game that highlights the relationship between the state and the informal miners. We illustrate the equilibrium by comparing the outcomes of the regulatory strategies pursued in Bolivia and Peru during the commodity boom of the 2000s.
description: The School of Public Policy Publications, Vol. 15 No. 1 (2022)
Alberta: Considerations in Establishing a New Captive Jurisdiction
Creators: name: Kleffner, Anne
name: Johnson, Erik
Publisher: name: The School of Public Policy Publications
Year: 2022

description: The Captive Insurance Companies Act, formerly Bill 76, was introduced by the government of Alberta in October 2021 and passed in December 2021. The act enables entities to establish their own insurance company, called a captive insurer. A captive insurance company is created and owned by a non-insurance parent for providing insurance coverage for the parent company’s exposures and/or those of associated parties. This paper discusses the regulatory policy elements that serve as the key foundations for the captive insurance market in major captive insurance jurisdictions, best practices for captive insurance regulation, and key elements of a best-of-breed regulatory regime that is needed in Alberta to be a competitive captive jurisdiction. We examine regulation and policy elements in leading captive insurance jurisdictions and identify policies that have been implemented to stimulate growth of captive insurance markets. To foster an environment for a robust captive insurance market, regulation must ensure fast and predictable licensing and setup (or redomiciliation), be cost neutral, and have simple, reasonable requirements for capital, solvency, and reporting. It is equally important that Alberta’s captive regulator have the mindset of a captive regulator, meaning that it appreciates the distinction between regulating traditional insurers versus captives, has a willingness to work with the captive industry, and is responsive to regulatory changes taking place in the competitive captive marketplace.
description: The School of Public Policy Publications, Vol. 15 No. 1 (2022)
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer
Creators: Pirlot, Cassidy
Publisher: name: University of Alberta Library
Year: 2022

Convolution Neural Networks (CNNs) have rapidly evolved since their neuroscience beginnings. These models efficiently and accurately classify images by optimizing the model’s hidden representations to these images through training. These representa- tions have been shown to resemble neural data from the primate visual system as the accuracy of the model improves. Works have been produced to exploit these findings to examine if the more (mammalian) brain-like a model’s hidden representations are, the more (mammalian) brain-like the model’s performances will be. Further, perfor- mance from a model that is human-like would achieve high accuracy, high super-class accuracy, and robustness. We expand on this work by using a neural data (ND) regularizer that uses Deep Canonical Correlation Analysis (DCCA). The regularizer optimizes the resemblance between the CNN’s hidden representations to an image and the representations found in the mammalian visual pathway to the same image. Compared to CNNs without the ND regularizer, the ND regularized CNN resulted in higher accuracy and super-class accuracy, as well as becoming more robust to ad- versarial examples. These outcomes provide evidence that pushing CNNs to become more brain-like is not only achievable, but will also result in a better performing model.
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data
Creators: name: Knickmeyer, Rebecca C.
name: Feng, Qianjin
name: Yu, Yang
name: Huang, Meiyan
name: Zhu, Hongtu
name: Nichols, Thomas
name: Lu, Zhaohua
name: Huang, Chao
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: More and more large-scale imaging genetic studies are being widely conducted to collect a rich set of imaging, genetic, and clinical data to detect putative genes for complexly inherited neuropsychiatric and neurodegenerative disorders. Several major big-data challenges arise from testing genome-wide (NC > 12 million known variants) associations with signals at millions of locations (NV ~ 106) in the brain from thousands of subjects (n ~ 103). The aim of this paper is to develop a Fast Voxelwise Genome Wide Association analysiS (FVGWAS) framework to e ciently carry out whole-genome analyses of whole-brain data. FVGWAS consists of three components including a heteroscedastic linear model, a global sure independence screening (G-SIS) procedure, and a detection procedure based on wild bootstrap methods. Specifically, for standard linear association, the computational complexity is O(nNV NC) for voxelwise genome wide association analysis (VGWAS) method compared with O((NC + NV)n2) for FVGWAS. Simulation studies show that FVGWAS is an effcient method of searching sparse signals in an extremely large search space, while controlling for the family-wise error rate. Finally, we have successfully applied FVGWAS to a large-scale imaging genetic data analysis of ADNI data with 708 subjects, 193,275 voxels in RAVENS maps, and 501,584 SNPs, and the total processing time was 203,645 seconds for a single CPU. Our FVG-WAS may be a valuable statistical toolbox for large-scale imaging genetic analysis as the field is rapidly advancing with ultra-high-resolution imaging and whole-genome sequencing.
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition
Creators: name: Munsell, Brent C.
name: Wu, Guorong
name: Kim, Minjeong
name: Sanroma, Gerard
name: Shen, Dinggang
name: Wang, Qian
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: Multi-atlas patch-based label fusion methods have been successfully used to improve segmentation accuracy in many important medical image analysis applications. In general, to achieve label fusion a single target image is first registered to several atlas images, after registration a label is assigned to each target point in the target image by determining the similarity between the underlying target image patch (centered at the target point) and the aligned image patch in each atlas image. To achieve the highest level of accuracy during the label fusion process it’s critical the chosen patch similarity measurement accurately captures the tissue/shape appearance of the anatomical structure. One major limitation of existing state-of-the-art label fusion methods is that they often apply a fixed size image patch throughout the entire label fusion procedure. Doing so may severely affect the fidelity of the patch similarity measurement, which in turn may not adequately capture complex tissue appearance patterns expressed by the anatomical structure. To address this limitation, we advance state-of-the-art by adding three new label fusion contributions: First, each image patch now characterized by a multi-scale feature representation that encodes both local and semi-local image information. Doing so will increase the accuracy of the patch-based similarity measurement. Second, to limit the possibility of the patch-based similarity measurement being wrongly guided by the presence of multiple anatomical structures in the same image patch, each atlas image patch is further partitioned into a set of label-specific partial image patches according to the existing labels. Since image information has now been semantically divided into different patterns, these new label-specific atlas patches make the label fusion process more specific and flexible. Lastly, in order to correct target points that are mislabeled during label fusion, a hierarchically approach is used to improve the label fusion results. In particular, a coarse-to-fine iterative label fusion approach is used that gradually reduces the patch size. To evaluate the accuracy of our label fusion approach, the proposed method was used to segment the hippocampus in the ADNI dataset and 7.0 tesla MR images, sub-cortical regions in LONI LBPA40 dataset, mid-brain regions in SATA dataset from MICCAI 2013 segmentation challenge, and a set of key internal gray matter structures in IXI dataset. In all experiments, the segmentation results of the proposed hierarchical label fusion method with multi-scale feature representations and label-specific atlas patches are more accurate than several well-known state-of-the-art label fusion methods.
Coherent phonons and the interplay between charge density wave and Mott phases in 1$T$-TaSe$_{2}$
Creators: name: Sayers, C. J.
name: Hedayat, H.
name: Ceraso, A.
name: Museur, F.
name: Cattelan, M.
name: Hart, L. S.
name: Farrar, L. S.
name: Conte, S. Dal
name: Cerullo, G.
name: Dallera, C.
name: Da Como, E.
name: Carpene, E.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: 1$T$-TaSe$_{2}$ is host to coexisting strongly-correlated phases including charge density waves (CDWs) and an unusual Mott transition at low temperature. Here, we investigate coherent phonon oscillations in 1$T$-TaSe$_{2}$ using a combination of time- and angle-resolved photoemission spectroscopy (TR-ARPES) and time-resolved reflectivity (TRR). Perturbation by a femtosecond laser pulse triggers a modulation of the valence band binding energy at the $Γ$-point, related to the Mott gap, that is consistent with the in-plane CDW amplitude mode frequency. By contrast, TRR measurements show a modulation of the differential reflectivity comprised of multiple frequencies belonging to the distorted CDW lattice modes. Comparison of the temperature dependence of coherent and spontaneous phonons across the CDW transition shows that the amplitude mode intensity is more easily suppressed during perturbation of the CDW state by the optical excitation compared to other modes. Our results clearly identify the relationship of the in-plane CDW amplitude mode with the Mott phase in 1$T$-TaSe$_{2}$ and highlight the importance of lattice degrees of freedom.
description: 7 pages, 4 figures, supplemental material
Improved image registration by sparse patch-based deformation estimation
Creators: name: Shen, Dinggang
name: Wu, Guorong
name: Kim, Minjeong
name: Wang, Qian
name: Lee, Seong-Whan
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: Despite of intensive efforts for decades, deformable image registration is still a challenging problem due to the potential large anatomical differences across individual images, which limits the registration performance. Fortunately, this issue could be alleviated if a good initial deformation can be provided for the two images under registration, which are often termed as the moving subject and the fixed template, respectively. In this work, we present a novel patch-based initial deformation prediction framework for improving the performance of existing registration algorithms. Our main idea is to estimate the initial deformation between subject and template in a patch-wise fashion by using the sparse representation technique. We argue that two image patches should follow the same deformation towards the template image if their patch-wise appearance patterns are similar. To this end, our framework consists of two stages, i.e., the training stage and the application stage. In the training stage, we register all training images to the pre-selected template, such that the deformation of each training image with respect to the template is known. In the application stage, we apply the following four steps to efficiently calculate the initial deformation field for the new test subject: (1) We pick a small number of key points in the distinctive regions of the test subject; (2) For each key point, we extract a local patch and form a coupled appearance-deformation dictionary from training images where each dictionary atom consists of the image intensity patch as well as their respective local deformations; (3) A small set of training image patches in the coupled dictionary are selected to represent the image patch of each subject key point by sparse representation. Then, we can predict the initial deformation for each subject key point by propagating the pre-estimated deformations on the selected training patches with the same sparse representation coefficients. (4) We employ thin-plate splines (TPS) to interpolate a dense initial deformation field by considering all key points as the control points. Thus, the conventional image registration problem becomes much easier in the sense that we only need to compute the remaining small deformation for completing the registration of the subject to the template. Experimental results on both simulated and real data show that the registration performance can be significantly improved after integrating our patch-based deformation prediction framework into the existing registration algorithms.
Predicting Productivity of Hockey Players via Mixture Models (Empirical Bayes Methodology)
Creators: Campbell, Connor
Publisher: name: University of Alberta Library
Year: 2022

The objective of this thesis is to show how advanced methods based on mixture models can be used to predict the productivity of hockey players, measured by the rate at which they produce goals and assists. The performance of the methods is evaluated on existing data from one full National Hockey League (NHL) season. Over a large time frame, such predictions come fairly easily, regardless of the method we choose. However, our focus is on predictions obtained from relatively -- sometimes even significantly -- short sampling periods. If we look solely at the first 3-5 weeks of the season, the naïve estimator, based on maximum likelihood, is essentially useless at predicting how someone will perform for the remainder of the year. Simple methods such as ``one-fits-all'' estimators and naïve shrinkage estimators represent an improvement, but it turns out we can do better. We look at both parametric and nonparametric empirical Bayes approaches to fitting mixture models, with the objective of showing that these methods provide good predictions in a small time frame. In particular, we will cover two competitive approaches, the Poisson-Gamma parametric model and the Kiefer-Wolfowitz nonparametric method. Both of them construct certain mixtures of Poisson distributions, but contrary to the setting prevailing in the literature, we have to deal with the fact that our Poisson outcomes are for different players observed over different time periods, depending on the number of games played, or the total amount of time spent on ice.
Correspondence Packet, 1991 Undertakings at Building 100 Taj Mahal, Randolph Air Force Base, Texas
Creators: name: Graves, Stanley O.
name: Logan, Joseph M.
Year: 1991
Subjects: subject: San Antonio
valueUri: https://core.tdar.org/browse/geographic-keyword/4149/san-antonio
subject: Bexar (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/4150/bexar-county
subject: Texas
valueUri: https://core.tdar.org/browse/geographic-keyword/6923/texas
subject: Randolph Air Force Base
valueUri: https://core.tdar.org/browse/geographic-keyword/78971/randolph-air-force-base
subject: Historic
valueUri: https://core.tdar.org/browse/culture-keyword/25/historic
subject: Governmental Structure
valueUri: https://core.tdar.org/browse/site-type/318/governmental-structure
subject: Historic Governmental Structure
valueUri: https://core.tdar.org/browse/site-type/320/historic-governmental-structure
subject: Non-Domestic Structures
valueUri: https://core.tdar.org/browse/site-type/309/non-domestic-structures
subject: Taj Mahal
valueUri: https://core.tdar.org/browse/other-keyword/153391/taj-mahal
subject: Rotunda
valueUri: https://core.tdar.org/browse/other-keyword/158237/rotunda
subject: Building 100
valueUri: https://core.tdar.org/browse/other-keyword/153390/building-100
subject: Architectural Documentation
valueUri: https://core.tdar.org/browse/investigation-type/16/architectural-documentation
subject: Heritage Management
valueUri: https://core.tdar.org/browse/investigation-type/24/heritage-management

description: A small group of letters and notes concerning proposed projects for Building 100, the Taj Mahal, at Randolph Air Force Base, Texas. Undertakings include a ceiling installation and the west basement. One of the letters includes black and white photographs of Building 100's hall and office that may be effected by the construction.
Persil bleibt Persil; 1968
Creators: name: (:Unav)
Publisher: name: Universitätsbibliothek der Technischen Universität Berlin
Year: 2018

description: Enthält u. a.: Kritik des Aktionskomitees für Politische Arbeit (APA) und des Sozialistischen Deutschen Studentenbundes (SDS) am Entwurf der Unabhängigen Aktionsgemeinschaft (UAG) für ein Hochschulgesetz.- Kritische Darstellung des Entwurfs.- Zeichnung Wäscheleine und Wäschestück mit Aufschrift Persil bleibt Persil. 1 Blatt. Überschrift nach gezeichneter Vorlage, Matrizendruck.