636 research outputs found
Dr. Bertram D. Ashe – Faculty Author Interview
No full textDr. Bert Ashe, Associate Professor of English, is the author of a new book, Twisted: My Dreadlock Chronicles, published recently by Agate Press. Twisted explores issues of black male identity, black vernacular culture, and black hair by narrating the journey of locking his hair while also exploring the history and cultural resonances of the dreadlock hairstyle in America
On attitude representations for optimization-based Bayesian smoothing
No full textThis paper presents a study of the behavior of seven different attitude representations in a batchwise orientation smoothing problem. The representations include the well-known unit quaternions and rotation vectors(/axis-angle), as well as modified Rodrigues parameters (MRPs). We consider error states as well as direct orientation formulations for the orientation and propose two methods to handle the singularity of MRPs in the latter case. The Bayesian smoothing problem is posed as a maximum a posteriori estimate with Gaussian noise, which results in a non-linear weighted least squares problem. With this we estimate the trajectory for a single inertial measurement unit with only sparse magnetometer samples for two challenging scenarios. In the evaluation we mainly focus on the convergence but also consider the estimation errors. Monte Carlo simulations show that orientation error states, with rotation vectors or MRPs, in general converge faster than other representations. However, with an initialization of the optimization problem up to deviations of 90 degrees MRPs with one of the proposed singularity handlings performs similar, but with a much smaller memory consumption. The source code for this study is available online.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.Team Jan-Willem van Wingerde
Clinical Biomechanics / Automated detection and explainability of pathological gait patterns using a one-class support vector machine trained on inertial measurement unit based gait data
No full textBackground
Machine learning approaches for the classification of pathological gait based on kinematic data, e.g. derived from inertial sensors, are commonly used in terms of a multi-class classification problem. However, there is a lack of research regarding one-class classifiers that are independent of certain pathologies. Therefore, it was the aim of this work to design a one-class classifier based on healthy norm-data that provides not only a prediction probability but rather an explanation of the classification decision, increasing the acceptance of this machine learning approach.
Methods
The inertial sensor based gait kinematics of 25 healthy subjects was employed to train a one-class support vector machine. 25 healthy subjects, 20 patients after total hip arthroplasty and one transfemoral amputee served to validate the classifier. Prediction probabilities and feature importance scores were estimated for each subject.
Findings
The support vector machine predicted 100% of the patients as outliers from the healthy group. Three healthy subjects were predicted as outliers. The feature importance calculation revealed the hip in the sagittal plane as most relevant feature concerning the group after total hip arthroplasty. For the misclassified healthy subject with the lowest probability score the knee flexion and the pelvis obliquity were identified.
Interpretation
The support vector machine seems a useful tool to identify outliers from a healthy norm-group. The feature importance examination proved to provide valuable information on the musculoskeletal status of the subjects. In this combination, the present approach could be employed in various disciplines to identify abnormal gait and suggest subsequent training.Wolfgang Teufl, Bertram Taetz, Markus Miezal, Carlo Dindorf, Michael Fr ̈ohlich, Ursula Trinler, Aidan Hogan, Gabriele Blese
THE MOTIFS OF REVENGE AND MADNESSIN GOTHIC DRAMA «BERTRAM» BY CH.R. MATURIN
No full textThe article is devoted to questions of artistic originality and literary context of gothic drama of Charles Robert Charles Maturin “Bertram”. The author analyzes distinctive for gothic literature motifs of revenge and madness through consideration of the key character of the drama. This article provides information about the critical reaction of Maturin’s contemporaries to first theatrical production of “Bertram”. The author also exemplifies the successive nature of Maturin’s drama in relation to the works within its broad literary context
Book Review: Surprised to be Standing: A Spiritual Journey
No full textTitle: Surprised to be Standing: A Spiritual Journey
Author: Steven E. Brown
Reviewer: Janine Bertram Kemp
Publisher: Honolulu, HI: Healing Light, 2011
Paper: ISBN: 13: 978-1456521691
Cost: $19.95, 218 page
Creating a Classroom of Integrity: Four Strategies
No full textDr. Bertram Gallant is an internationally known expert on integrity and ethics in education. She has consulted with or presented at high schools, colleges, universities and professional associations throughout the U.S. and around the world, including in Australia, Canada, Egypt, England, Jamaica, Mexico, and Singapore. She is the author of numerous journal articles and book chapters, as well as author of Academic Integrity in the Twenty-First Century (Jossey-Bass, 2008), co-author of Cheating in School (Wiley-Blackwell, 2009), editor of Creating the Ethical Academy (Routledge, 2011), and section editor for the Handbook of Academic Integrity (Springer, 2016). Tricia is a long-time leader with the International Center for Academic Integrity (ICAI), of which UC San Diego is an institutional member, and currently serves on their Board of Directors. In 2018, Tricia was the first recipient of the Tricia Bertram Gallant Award for Service presented by ICAI. You can follow Tricia professionally on Twitter or Facebook (@tbertramgallant)
Metabolic profiling and population screening of analgesic usage in nuclear magnetic resonance spectroscopy-based large-scale epidemiologic studies
No full textThe application of a 1H nuclear magnetic resonance (NMR) spectroscopy-based screening method for determining the use of two widely available analgesics (acetaminophen and ibuprofen) in epidemiologic studies has been investigated. We used samples and data from the cross-sectional INTERMAP Study involving participants from Japan (n = 1145), China (n = 839), U.K. (n = 501), and the U.S. (n = 2195). An orthogonal projection to latent structures discriminant analysis (OPLS-DA) algorithm with an incorporated Monte Carlo resampling function was applied to the NMR data set to determine which spectra contained analgesic metabolites. OPLS-DA preprocessing parameters (normalization, bin width, scaling, and input parameters) were assessed systematically to identify an optimal acetaminophen prediction model. Subsets of INTERMAP spectra were examined to verify and validate the presence/absence of acetaminophen/ibuprofen based on known chemical shift and coupling patterns. The optimized and validated acetaminophen model correctly predicted 98.2%, and the ibuprofen model correctly predicted 99.0% of the urine specimens containing these drug metabolites. The acetaminophen and ibuprofen models were subsequently used to predict the presence/absence of these drug metabolites for the remaining INTERMAP specimens. The acetaminophen model identified 415 out of 8436 spectra as containing acetaminophen metabolite signals while the ibuprofen model identified 245 out of 8604 spectra as containing ibuprofen metabolite signals from the global data set after excluding samples used to construct the prediction models. The NMR-based metabolic screening strategy provides a new objective approach for evaluation of self-reported medication data and is extendable to other aspects of population xenometabolome profiling
Glimpses of Tennyson and of some of his relations and friends /
No full textAuthor was Tennyson's niece.Tennysons and Sellwoods.--Freshwater days.--Some Isle of Wight friends of the inner circle.--Talks with Tennyson.--Appendix: The blizzard and Broncho days by...Bertram Tennyson [with preface by Maud Tennyson]Mode of access: Internet
Bertram D. Wolfe: política y pedagogía comunistas en los años veinte
No full textThis article reviews the activities of Bertram D. Wolfe, the outstanding U.S.politician and founder of the Communist Party of the United States, duringhis stay in our country between 1922 and 1925. His presence here was ofsingular importance for the Communist Party of Mexico since he was part ofits leading bodies and was an untiring teacher who shared the basics ofMarxism with party members. He was also elected its delegate to the FifthCongress of the Communist International, which met in Moscow betweenJune and August 1924. To carry out this research, the author delved deeplyinto the documents in the Bertram Wolfe Collection in the New York PublicLibrary, as well as Mexican documentary sources.El presente artículo revisa la trayectoria de Bertram D. Wolfe, destacado político estadounidense y fundador del Partido Comunista de Estados Unidos, durante su estancia en nuestro país entre 1922 y 1925. Su presencia resultó de elemental importancia para el Partido Comunista de México, ya que formó parte de sus órganos directivos y fue un pedagogo incansable que compartió los fundamentos del marxismo con los miembros del partido. Asimismo, fue nombrado como su delegado ante el V Congreso de la Internacional Comunista, que se reunió en Moscú entre junio y agosto de 1924. Para esta investigación se consultó ampliamente la documentación de la Bertram Wolfe Collection, que se encuentra en la Biblioteca Pública de Nueva York, así como otras fuentes hemerográficas y documentales nacionales
Unstaggered constrained transport methods for ideal magnetohydrodynamic equations
No full textDie idealen magnetohydrodynamischen (MHD) Gleichungen spielen eine wichtige Rolle in der Modellierung von plasmaphysikalischen Phänomenen. In dieser Arbeit werden Finite-Volumen-Verfahren zur numerischen Lösung der MHD Gleichungen auf kartesischen Gittern sowie auf strukturierten und nicht-orthogonalen Gittern entwickelt. Eine hauptsächliche Herausforderung für numerische Lösungsverfahren der MHD Gleichungen in mehr als einer Raumdimension liegt in der Kontrolle von Divergenzfehlern des magnetischen Feldes. CT Verfahren (constrained transport) ermöglichen eine solche Kontrolle. Diese Arbeit beschäftigt sich mit der Konstruktion von dreidimensionalen (3D) CT Verfahren, die mit nur einem Gitter ("unstaggered") auskommen. Das CT Verfahren von Rossmanith (2D) wird auf 3D kartesische Gitter erweitert. Zudem wird ein neues, allgemeineres CT Verfahren für nicht-orthogonale Gitter vorgestellt, das eine direkte Erweiterung auf hohe Approximationsordnung erlaubt. Beide Ansätze werden getestet.The ideal magnetohydrohynamic (MHD) equations are important in modeling different phenomena in a wide range of plasma physical applications. This thesis focuses on the development of finite volume methods for numerical solutions of the ideal MHD equations on Cartesian and non-orthogonal structured grids. One major challenge in numerically solving the MHD equations in more than one space dimension is to control the divergence-errors of the magnetic field on the discrete level. Constrained transport (CT) methods are one suitable choice to control these errors. This thesis is concerned with the construction of three-dimensional CT methods that utilize only one grid (unstaggered). In the first part the CT method of Rossmanith (2D) is extended to 3D Cartesian grids. Furthermore, a new more general approach is presented that also works on non-orthogonal structured grids and allows a direct extension to high-order of accuracy. Robustness and accuracy is confirmed by several test examples
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