2,007 research outputs found
Global Journalist: Views from around the world on the Israeli-Palestinian war and its global impact
On Apr. 4, 2002 Stuart Loory continues the discussion about the Israeli-Palestinian war for the third week in a row. His fellow journalists agree that what has been done, so far, by all international mediators – the U.S. getting most of the criticism – hasn’t led anywhere. Loory dares his peers to suggest a way out of this impasse
The Effects of Haptic Feedback on Postural Sway
Purpose: Effectiveness of haptic feedback on reducing postural sway
Hypothesis: Haptic input improves static standing stability. Individuals with increased variability in sway may have an increased risk for falls. Therefore, our haptic feedback device may have the ability to reduce risk of falling.
Postural control is a dynamic system involving vision, vestibular system, proprioception, and musculoskeletal system. Postural control enables people to maintain their balance, reduce their sway, and keep an upright posture.
Haptic feedback is tactile or vibratory cues that assist a subject in determining where they are in space
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Real-time position control of concentric tube robots
A novel approach to constructing robots is based on concentrically combining pre-curved elastic tubes. By rotating and extending the tubes with respect to each other, their curvatures interact elastically to position and orient the robot's tip, as well as to control the robot's shape along its length. Since these robots form slender curves, they are well suited for minimally invasive medical procedures. A substantial challenge to their practical use is the real-time solution of their kinematics that are described by differential equations with split boundary equations. This paper proposes a numerically efficient approach to real-time position control. It is shown that the forward kinematics are smooth functions that can be pre-computed and accurately approximated using Fourier series. The inverse kinematics can be solved in real time using root finding applied to the functional approximation. Experimental demonstration of real-time position control using this approach is also described
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Image analysis and statistical inference in neuroimaging with R
R is a language and environment for statistical computing and graphics.
It can be considered an alternative implementation of the S language
developed in the 1970s and 1980s for data analysis and graphics (Becker and
Chambers, 1984; Becker et al., 1988). The R language is part of the GNU
project and offers versions that compile and run on almost every major
operating system currently available. We highlight several R packages built
specifically for the analysis of neuroimaging data in the context of
functional MRI, diffusion tensor imaging, and dynamic contrast-enhanced MRI.
We review their methodology and give an overview of their capabilities for
neuroimaging. In addition we summarize some of the current activities in the
area of neuroimaging software development in R
Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing
A nonlinear partial differential equation (PDE) based compartmental model of
COVID-19 provides a continuous trace of infection over space and time. Finer
resolutions in the spatial discretization, the inclusion of additional model
compartments and model stratifications based on clinically relevant categories
contribute to an increase in the number of unknowns to the order of millions.
We adopt a parallel scalable solver allowing faster solutions for these high
fidelity models. The solver combines domain decomposition and algebraic
multigrid preconditioners at multiple levels to achieve the desired strong and
weak scalability. As a numerical illustration of this general methodology, a
five-compartment susceptible-exposed-infected-recovered-deceased (SEIRD) model
of COVID-19 is used to demonstrate the scalability and effectiveness of the
proposed solver for a large geographical domain (Southern Ontario). It is
possible to predict the infections up to three months for a system size of 92
million (using 1780 processes) within 7 hours saving months of computational
effort needed for the conventional solvers
Asignación anticipada e interés superior del niño durante el proceso de alimentos en el juzgado de familia de la CSJ Lima Este - 2023
La presente tesis, se realizó con el objetivo principal de analizar la relación existente
entre la asignación anticipada con el interés superior del niño durante el proceso de
alimentos en el juzgado de familia de la CSJ Lima Este -2023., motivo por lo cual
ha sido pertinente realizar un estudio a profundidad del marco normativo, doctrina,
derecho comparado y plenos casatorios, con respecto a la asignación anticipada y
el interés superior del niño en territorio nacional.
La metodologÃa que se ha empleado en la tesis es de tipo básica, para el cual
hemos utilizamos el enfoque cualitativo ya que tiene como finalidad describir y
también evaluar las respuestas obtenidas por los participantes que fueron sujeto de
estudio, contiene un diseño de investigación interpretativo, basado en la teorÃa
fundamentada. Obteniendo como resultado mediante la elaboración de los
instrumentos de recolección de análisis documental y las guÃas de entrevistas. En
este sentido, se concluyó que la asignación anticipada se relaciona directamente
con el interés superior del niño durante el proceso de alimentos en el juzgado de
familia
MITOMAP: a human mitochondrial genome database—2004 update
MITOMAP (http://www.MITOMAP.org), a database for the human mitochondrial genome, has grown rapidly in data content over the past several years as interest in the role of mitochondrial DNA (mtDNA) variation in human origins, forensics, degenerative diseases, cancer and aging has increased dramatically. To accommodate this information explosion, MITOMAP has implemented a new relational database and an improved search engine, and all programs have been rewritten. System administrative changes have been made to improve security and efficiency, and to make MITOMAP compatible with a new automatic mtDNA sequence analyzer known as Mitomaster
Six simple guidelines for introducing new genera of fungi
We formulate five guidelines for introducing new genera, plus one recommendation how to publish the results of scientific research. We recommend that reviewers and editors adhere to these guidelines. We propose that the underlying research is solid, and that the results and the final solutions are properly discussed. The six criteria are: (1) all genera that are recognized should be monophyletic; (2) the coverage of the phylogenetic tree should be wide in number of species, geographic coverage, and type species of the genera under study; (3) the branching of the phylogenetic trees has to have sufficient statistical support; (4) different options for the translation of the phylogenetic tree into a formal classification should be discussed and the final decision justified; (5) the phylogenetic evidence should be based on more than one gene; and (6) all supporting evidence and background information should be included in the publication in which the new taxa are proposed, and this publication should be peer-reviewed
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