Relevant bibliographies by topics / Fibers metrics

Academic literature on the topic 'Fibers metrics'

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Published: 11 March 2023

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Journal articles on the topic "Fibers metrics"

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Tsuji, Hajime. "Dynamical construction of Kähler-Einstein metrics." Nagoya Mathematical Journal 199 (September 2010): 107–22. http://dx.doi.org/10.1017/s0027763000022236.

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AbstractIn this article, we give a new construction of a Kähler-Einstein metric on a smooth projective variety with ample canonical bundle. As a consequence, for a dominant projective morphismf:X→Swith connected fibers such that a general fiber has an ample canonical bundle, and for a positive integerm, we construct a canonical singular Hermitian metrichE,monwith semipositive curvature in the sense of Nakano.
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Tsuji, Hajime. "Dynamical construction of Kähler-Einstein metrics." Nagoya Mathematical Journal 199 (September 2010): 107–22. http://dx.doi.org/10.1215/00277630-2010-005.

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AbstractIn this article, we give a new construction of a Kähler-Einstein metric on a smooth projective variety with ample canonical bundle. As a consequence, for a dominant projective morphism f: X → S with connected fibers such that a general fiber has an ample canonical bundle, and for a positive integer m, we construct a canonical singular Hermitian metric hE,m on with semipositive curvature in the sense of Nakano.
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Holmes, Scott A., Steven J. Staffa, Anastasia Karapanagou, Natalia Lopez, Victoria Karian, Ronald Borra, David Zurakowski, Alyssa Lebel, and David Borsook. "Biological laterality and peripheral nerve DTI metrics." PLOS ONE 16, no. 12 (December 16, 2021): e0260256. http://dx.doi.org/10.1371/journal.pone.0260256.

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Background and purpose Clinical comparisons do not usually take laterality into account and thus may report erroneous or misleading data. The concept of laterality, well evaluated in brain and motor systems, may also apply at the level of peripheral nerves. Therefore, we sought to evaluate the extent to which we could observe an effect of laterality in MRI-collected white matter indices of the sciatic nerve and its two branches (tibial and fibular). Materials and methods We enrolled 17 healthy persons and performed peripheral nerve diffusion weighted imaging (DWI) and magnetization transfer imaging (MTI) of the sciatic, tibial and fibular nerve. Participants were scanned bilaterally, and findings were divided into ipsilateral and contralateral nerve fibers relative to self-reporting of hand dominance. Generalized estimating equation modeling was used to evaluate nerve fiber differences between ipsilateral and contralateral legs while controlling for confounding variables. All findings controlled for age, sex and number of scans performed. Results A main effect of laterality was found in radial, axial, and mean diffusivity for the tibial nerve. Axial diffusivity was found to be lateralized in the sciatic nerve. When evaluating mean MTR, a main effect of laterality was found for each nerve division. A main effect of sex was found in the tibial and fibular nerve fiber bundles. Conclusion For the evaluation of nerve measures using DWI and MTI, in either healthy or disease states, consideration of underlying biological metrics of laterality in peripheral nerve fiber characteristics need to considered for data analysis. Integrating knowledge regarding biological laterality of peripheral nerve microstructure may be applied to improve how we diagnosis pain disorders, how we track patients’ recovery and how we forecast pain chronification.
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Comerford, Kevin B., Yanni Papanikolaou, Julie Miller Jones, Judith Rodriguez, Joanne Slavin, Siddhartha Angadi, and Adam Drewnowski. "Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report." Nutrients 13, no. 8 (July 31, 2021): 2667. http://dx.doi.org/10.3390/nu13082667.

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Carbohydrate-containing crops provide the bulk of dietary energy worldwide. In addition to their various carbohydrate forms (sugars, starches, fibers) and ratios, these foods may also contain varying amounts and combinations of proteins, fats, vitamins, minerals, phytochemicals, prebiotics, and anti-nutritional factors that may impact diet quality and health. Currently, there is no standardized or unified way to assess the quality of carbohydrate foods for the overall purpose of improving diet quality and health outcomes, creating an urgent need for the development of metrics and tools to better define and classify high-quality carbohydrate foods. The present report is based on a series of expert panel meetings and a scoping review of the literature focused on carbohydrate quality indicators and metrics produced over the last 10 years. The report outlines various approaches to assessing food quality, and proposes next steps and principles for developing improved metrics for assessing carbohydrate food quality. The expert panel concluded that a composite metric based on nutrient profiling methods featuring inputs such as carbohydrate–fiber–sugar ratios, micronutrients, and/or food group classification could provide useful and informative measures for guiding researchers, policymakers, industry, and consumers towards a better understanding of carbohydrate food quality and overall healthier diets. The identification of higher quality carbohydrate foods could improve evidence-based public health policies and programming—such as the 2025–2030 Dietary Guidelines for Americans.
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Wei, Wei, Chen Zhang, and Dexiang Deng. "Content Estimation of Foreign Fibers in Cotton Based on Deep Learning." Electronics 9, no. 11 (October 29, 2020): 1795. http://dx.doi.org/10.3390/electronics9111795.

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Cotton foreign fibers directly affect the quality of a textile product; the less foreign fibers in raw cotton, the higher the quality grade of the textile product. Based on the foreign fiber clean machine, this paper proposed an evaluation method of foreign fiber content using deep learning. First of all, a large number of images of foreign fibers were collected from different production lines and annotated to obtain the mask image dataset of foreign fibers. Secondly, by comparing the image segmentation algorithm based on deep learning, tests showed that U-Net has a better performance on different segment metrics evaluations, and U-Net is improved to realize the real-time segmentation of foreign fiber images. The actual size of the foreign fiber could be calculated through the combination of the segment result and the mechanical parameters of the machine. Finally, the test results showed that the relative error between the estimated size and the actual size was less than 4%. After the prototype test, the algorithm was deployed on the actual production line and, by comparing the algorithm data in a random time with the actual foreign fiber statistical data, the overall error was less than 2%. The test showed that the new evaluation method can fully reflect the content of foreign fiber in raw cotton.
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Ding, Guangliang, Jieli Chen, Michael Chopp, Lian Li, Tao Yan, Esmaeil Davoodi-Bojd, Qingjiang Li, Siamak PN Davarani, and Quan Jiang. "White matter changes after stroke in type 2 diabetic rats measured by diffusion magnetic resonance imaging." Journal of Cerebral Blood Flow & Metabolism 37, no. 1 (July 22, 2016): 241–51. http://dx.doi.org/10.1177/0271678x15622464.

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Diffusion-related magnetic resonance imaging parametric maps may be employed to characterize white matter of brain. We hypothesize that entropy of diffusion anisotropy may be most effective for detecting therapeutic effects of bone marrow stromal cell treatment of ischemia in type 2 diabetes mellitus rats. Type 2 diabetes mellitus was induced in adult male Wistar rats. These rats were then subjected to 2 h of middle cerebral artery occlusion, and received bone marrow stromal cell (5 × 106, n = 8) or an equal volume of saline ( n = 8) via tail vein injection at three days after middle cerebral artery occlusion. Magnetic resonance imaging was performed on day one and then weekly for five weeks post middle cerebral artery occlusion. The diffusion metrics complementarily permitted characterization of axons and axonal myelination. All six magnetic resonance imaging diffusion metrics, confirmed by histological measures, demonstrated that bone marrow stromal cell treatment significantly ( p < 0.05) improved magnetic resonance imaging diffusion indices of white matter in type 2 diabetes mellitus rats after middle cerebral artery occlusion compared with the saline-treated rats. Superior to the fractional anisotropy metric that provided measures related to organization of neuronal fiber bundles, the entropy metric can also identify microstructures and low-density axonal fibers of cerebral tissue after stroke in type 2 diabetes mellitus rats.
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Wilharm, Nils, Tony Fischer, Alexander Hayn, and Stefan G. Mayr. "Structural Breakdown of Collagen Type I Elastin Blend Polymerization." Polymers 14, no. 20 (October 20, 2022): 4434. http://dx.doi.org/10.3390/polym14204434.

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Biopolymer blends are advantageous materials with novel properties that may show performances way beyond their individual constituents. Collagen elastin hybrid gels are a new representative of such materials as they employ elastin’s thermo switching behavior in the physiological temperature regime. Although recent studies highlight the potential applications of such systems, little is known about the interaction of collagen and elastin fibers during polymerization. In fact, the final network structure is predetermined in the early and mostly arbitrary association of the fibers. We investigated type I collagen polymerized with bovine neck ligament elastin with up to 33.3 weight percent elastin and showed, by using a plate reader, zeta potential and laser scanning microscopy (LSM) experiments, that elastin fibers bind in a lateral manner to collagen fibers. Our plate reader experiments revealed an elastin concentration-dependent increase in the polymerization rate, although the rate increase was greatest at intermediate elastin concentrations. As elastin does not significantly change the structural metrics pore size, fiber thickness or 2D anisotropy of the final gel, we are confident to conclude that elastin is incorporated homogeneously into the collagen fibers.
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Kerr, Megan M., and Andreas Kollross. "Nonnegatively curved homogeneous metrics obtained by scaling fibers of submersions." Geometriae Dedicata 166, no. 1 (November 7, 2012): 269–87. http://dx.doi.org/10.1007/s10711-012-9795-0.

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Harris, Kelly C., Kenneth I. Vaden, Carolyn M. McClaskey, James W. Dias, and Judy R. Dubno. "Complementary metrics of human auditory nerve function derived from compound action potentials." Journal of Neurophysiology 119, no. 3 (March 1, 2018): 1019–28. http://dx.doi.org/10.1152/jn.00638.2017.

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Declines in auditory nerve (AN) function contribute to suprathreshold auditory processing and communication deficits in individuals with normal hearing, hearing loss, hyperacusis, and tinnitus. Procedures to characterize AN loss or dysfunction in humans are limited. We report several novel complementary metrics using the compound action potential (CAP), a direct measure of summated AN activity. Together, these metrics may be used to characterize AN function noninvasively in humans. We examined how these metrics change with stimulus intensity and interpreted these changes within a framework of known physiological properties of the basilar membrane and AN. Our results reveal how neural synchrony and the recruitment of AN fibers with longer first-spike latencies likely contribute to the CAP, affect auditory processing, and differ with noise exposure history in younger adults with normal pure-tone thresholds. Moving forward, this new battery of metrics provides a crucial step toward new diagnostics of AN function in humans. NEW & NOTEWORTHY Loss or inactivity of auditory nerve (AN) fibers is thought to contribute to suprathreshold auditory processing deficits, but evidence-based methods to assess these effects are not available. We describe several novel metrics that together may be used to quantify neural synchrony and characterize AN function in humans.
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Hajiaghamemar, Marzieh, Taotao Wu, Matthew B. Panzer, and Susan S. Margulies. "Embedded axonal fiber tracts improve finite element model predictions of traumatic brain injury." Biomechanics and Modeling in Mechanobiology 19, no. 3 (December 6, 2019): 1109–30. http://dx.doi.org/10.1007/s10237-019-01273-8.

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AbstractWith the growing rate of traumatic brain injury (TBI), there is an increasing interest in validated tools to predict and prevent brain injuries. Finite element models (FEM) are valuable tools to estimate tissue responses, predict probability of TBI, and guide the development of safety equipment. In this study, we developed and validated an anisotropic pig brain multi-scale FEM by explicitly embedding the axonal tract structures and utilized the model to simulate experimental TBI in piglets undergoing dynamic head rotations. Binary logistic regression, survival analysis with Weibull distribution, and receiver operating characteristic curve analysis, coupled with repeated k-fold cross-validation technique, were used to examine 12 FEM-derived metrics related to axonal/brain tissue strain and strain rate for predicting the presence or absence of traumatic axonal injury (TAI). All 12 metrics performed well in predicting of TAI with prediction accuracy rate of 73–90%. The axonal-based metrics outperformed their rival brain tissue-based metrics in predicting TAI. The best predictors of TAI were maximum axonal strain times strain rate (MASxSR) and its corresponding optimal fraction-based metric (AF-MASxSR7.5) that represents the fraction of axonal fibers exceeding MASxSR of 7.5 s−1. The thresholds compare favorably with tissue tolerances found in in–vitro/in–vivo measurements in the literature. In addition, the damaged volume fractions (DVF) predicted using the axonal-based metrics, especially MASxSR (DVF = 0.05–4.5%), were closer to the actual DVF obtained from histopathology (AIV = 0.02–1.65%) in comparison with the DVF predicted using the brain-related metrics (DVF = 0.11–41.2%). The methods and the results from this study can be used to improve model prediction of TBI in humans.
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Dissertations / Theses on the topic "Fibers metrics"

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Riffert, Till. "Extraction of Structural Metrics from Crossing Fiber Models." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-150424.

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Diffusion MRI (dMRI) measurements allow us to infer the microstructural properties of white matter and to reconstruct fiber pathways in-vivo. High angular diffusion imaging (HARDI) allows for the creation of more and more complex local models connecting the microstructure to the measured signal. One of the challenges is the derivation of meaningful metrics describing the underlying structure from the local models. The aim hereby is to increase the specificity of the widely used metric fractional anisotropy (FA) by using the additional information contained within the HARDI data. A local model which is connected directly to the underlying microstructure through the model of a single fiber population is spherical deconvolution. It produces a fiber orientation density function (fODF), which can often be interpreted as superposition of multiple peaks, each associated to one relatively coherent fiber population (bundle). Parameterizing these peaks one is able to disentangle and characterize these bundles. In this work, the fODF peaks are approximated by Bingham distributions, capturing first and second order statistics of the fiber orientations, from which metrics for the parametric quantification of fiber bundles are derived. Meaningful relationships between these measures and the underlying microstructural properties are proposed. The focus lies on metrics derived directly from properties of the Bingham distribution, such as peak length, peak direction, peak spread, integral over the peak, as well as a metric derived from the comparison of the largest peaks, which probes the complexity of the underlying microstructure. These metrics are compared to the conventionally used fractional anisotropy (FA) and it is shown how they may help to increase the specificity of the characterization of microstructural properties. Visualization of the micro-structural arrangement is another application of dMRI. This is done by using tractography to propagate the fiber layout, extracted from the local model, in each voxel. In practice most tractography algorithms use little of the additional information gained from HARDI based local models aside from the reconstructed fiber bundle directions. In this work an approach to tractography based on the Bingham parameterization of the fODF is introduced. For each of the fiber populations present in a voxel the diffusion signal and tensor are computed. Then tensor deflection tractography is performed. This allows incorporating the complete bundle information, performing local interpolation as well as using multiple directions per voxel for generating tracts. Another aspect of this work is the investigation of the spherical harmonic representation which is used most commonly for the fODF by means of the parameters derived from the Bingham distribution fit. Here a strong connection between the approximation errors in the spherical representation of the Dirac delta function and the distribution of crossing angles recovered from the fODF was discovered. The final aspect of this work is the application of the metrics derived from the Bingham fit to a number of fetal datasets for quantifying the brain’s development. This is done by introducing the Gini-coefficient as a metric describing the brain’s age.
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Fine, Joel. "Constant scalar curvature metrics on fibred complex surfaces." Thesis, Imperial College London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408159.

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Zhu, Xuwen Ph D. Massachusetts Institute of Technology. "The eleven dimensional supergravity equations, resolutions and Lefschetz fiber metrics." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99319.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 129-132).
This thesis consists of three parts. In the first part, we study the eleven dimensional supergravity equations on B 7 x S 4 considered as an edge manifold. We compute the indicial roots of the linearized system using the Hodge decomposition, and using the edge calculus and scattering theory we prove that the moduli space of solutions, near the Freund-Rubin states, is parameterized by three pairs of data on the bounding 6-sphere. In the second part, we consider the family of constant curvature fiber metrics for a Lefschetz fibration with regular fibers of genus greater than one. A result of Obitsu and Wolpert is refined by showing that on an appropriate resolution of the total space, constructed by iterated blow-up, this family is log-smooth, i.e. polyhomogeneous with integral powers but possible multiplicities, at the preimage of the singular fibers in terms of parameters of size comparable to the length of the shrinking geodesic. This is joint work with Richard Melrose. In the third part, the resolution of a compact group action in the sense described by Albin and Melrose is applied to the conjugation action by the unitary group on self-adjoint matrices. It is shown that the eigenvalues are smooth on the resolved space and that the trivial tautological bundle smoothly decomposes into the direct sum of global one-dimensional eigenspaces.
by Xuwen Zhu.
Ph. D.
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Ee, Chai Chuan. "The feasibility study of implementing a fiber optic local area network in software metrics laboratory in Ingersoll 158." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FEe.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2004.
Thesis advisor(s): Norman F. Schneidewind. Includes bibliographical references (p. 51). Also available online.
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Li, Jonathan Chi Fai. "Eye closure penalty based signal quality metric for intelligent all-optical networks /." Connect to thesis, 2009. http://repository.unimelb.edu.au/10187/7047.

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Talebi, Mohammad [Verfasser], Boris [Akademischer Betreuer] Vertman, and Julie [Akademischer Betreuer] Rowlett. "Spectral theory on manifolds with fibred boundary metrics / Mohammad Talebi ; Boris Vertman, Julie Rowlett." Oldenburg : BIS der Universität Oldenburg, 2020. http://d-nb.info/1226287042/34.

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Talebi, Mohammad [Verfasser], Boris Akademischer Betreuer] Vertman, and Julie [Akademischer Betreuer] [Rowlett. "Spectral theory on manifolds with fibred boundary metrics / Mohammad Talebi ; Boris Vertman, Julie Rowlett." Oldenburg : BIS der Universität Oldenburg, 2020. http://d-nb.info/1226287042/34.

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Riffert, Till [Verfasser], Gerik [Akademischer Betreuer] Scheuermann, Gerik [Gutachter] Scheuermann, and Thomas [Gutachter] Schultz. "Extraction of Structural Metrics from Crossing Fiber Models / Till Riffert ; Gutachter: Gerik Scheuermann, Thomas Schultz ; Betreuer: Gerik Scheuermann." Leipzig : Universitätsbibliothek Leipzig, 2014. http://d-nb.info/1238788726/34.

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Vaz, Rafael Ribeiro de Carvalho. "Metodologia de posicionamento de religadores e dimensionamento de rede de fibra óptica para automação de sistemas de energia." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7735.

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Fundação de Amparo à Pesquisa do Estado de Goiás - FAPEG
This work presents an end-to-end methodology for the deployment of Self-Healing systems in the distribution grid in order to decrease DEC in feeders. The methodology developed consists in choosing feeders to receive Self-Healing systems based on their performance in relation to the DEC. It is determined load transfer units considering power flow by the current injection method and protection coordination for these feeders. Once the units are determined, a feeders rank is set to order the system implementation considering hypothesis testing and binary linear programming. For this rank, besides the DEC, the number of customers as well as critical loads are considered. The communication system is based on optical mesh networks where single and multi objective algorithms are applied to optimize the network in order to design a reliable and low cost communication system.
Este trabalho apresenta uma metodologia fim-a-fim para implantação de sistemas Self-Healing na rede de distribuição com o objetivo de redução da duração equivalente de interrupção por unidade consumidora em alimentadores. A metodologia desenvolvida consiste na definição dos alimentadores candidatos a receberem os sistemas de Self-Healing baseado no desempenho dos mesmos em relação a duração equivalente de interrupção por unidade consumidora. Nesses alimentadores são determinadas as unidades de transferência de carga considerando fluxo de potência pelo método de injeção de correntes e a coordenação da proteção. Uma vez escolhidas essas unidades, é realizada uma classificação dos alimentadores com o intuito de estabelecer uma ordem de prioridade para implantação dos sistemas utilizando teste de hipótese e programação linear binária. Para essa determinação de prioridade, além do DEC, são considerados a quantidade de unidades consumidoras bem como o de cargas críticas. Neste trabalho, o sistema de comunicação considerado para interligar os religadores é baseado em redes de fibra óptica em malha. Com intuito de dimensionar o sistema de comunicação de forma que este seja confiável e de baixo custo, são aplicados algoritmos mono e multiobjetivo para otimização da rede, sendo proposta uma metodologia envolvendo cálculo de confiabilidade da rede.
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Fang, Yanbo. "Study of positively metrized line bundles over a non-Archimedean field via holomorphic convexity." Thesis, Université de Paris (2019-....), 2020. http://www.theses.fr/2020UNIP7033.

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Ce mémoire de thèse est consacré à l'étude de fibré en droites semipositif en géométrie analytique non-Archimédienne, par un point de vue d'analyse fonctionnelle sur un corps ultramétrique en exploitant la géométrie de la convexité holomorphe. Le premier chapitre recueille quelques préliminaires pour l'algèbre de Banach sur un corps ultramétrique et la géométrie de son spectre au sens de Berkovich, le cadre dans lequel l'étude est effectuée. Le deuxième chapitre présente la construction de base, qui encode la géométrie intervenante dans certaines algèbres de Banach. On associe une algèbre normée de section à un fibré en droites métrisé. On décrit son spectre, en le reliant avec le fibré en disques unités duals de ce fibré en droites muni de la métrique enveloppante. On encode alors la positivité métrique par la convexité holomorphe. Le troisième chapitre consiste en deux approches indépendantes pour le problème d'extension métrique de sections restreintes sur une sous-variété fermée. On obtient une borne supérieure pour la distorsion métrique asymptotique, qui est uniforme par rapport aux choix de sections restreintes. On utilise une propriété particulière aux normes affinoïdes pour obtenir cette inégalité. Le quatrième chapitre traite le problème de la régularité de métrique enveloppante. Avec un nouveau regard venant d'analyse holomorphe à plusieurs variables, on vise à montrer que, quand le fibré en droites est ample, la métrique enveloppante est continue si la métrique de départ l’est. On suggère une méthode tentative reposant sur un analogue non archimédien spéculatif d'un résultat sur la convexité holomorphe due à Cartan et Thullen
This thesis is devoted to the study of semi-positively metrized line bundles in non-Archimedean analytic geometry, with the point of view of functional analysis over an ultra-metric field exploiting the geometry related to holomorphic convexity. The first chapter gathers some preliminaries about Banach algebras over ultra-metric fields and the geometry of their spectrum in the sense of V. Berkovich, which is the framework of our study. The second chapter present the basic construction, which encodes the related geometric information into some Banach algebra. We associate the normed algebra of sections of a metrized line bundle. We describe its spectrum, relating it with the dual unit disc bundle of this line bundle with respect to the envelope metric. We thus encode the metric positivity into the holomorphic convexity of the spectrum. The third chapter consists of two independent for the normed extension problem for restricted sections on a sub-variety. We obtain an upper bound for the asymptotic norm distorsion between the restricted section and the extended one, which is uniform with respect to the choice of restricted sections. We use a particular property of affinoid algebras to obtain this inequality. The fourth chapter treat the problem of regularity of the envelope metric. With a new look from the holomorphic analysis of several variables, we aime at showing that on ample line bundles, the envelop metric is continuous once the original metric is. We suggest a tentative approach based on a speculative analogue of Cartan-Thullen’s result in the non-Archimedean setting
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Books on the topic "Fibers metrics"

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Ergodic theory of fibred systems and metric number theory. Oxford: Clarendon Press, 1995.

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Steven, Rosenberg, and Clara L. Aldana. Analysis, geometry, and quantum field theory: International conference in honor of Steve Rosenberg's 60th birthday, September 26-30, 2011, Potsdam University, Potsdam, Germany. Providence, Rhode Island: American Mathematical Society, 2012.

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Walschap, Gerard. Metric Structures in Differential Geometry. Springer New York, 2010.

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Walschap, Gerard. Metric Structures in Differential Geometry. Springer London, Limited, 2012.

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The Feasibility Study of Implementing a Fiber Optic Local Area Network in Software Metrics Laboratory in Ingersoll 158. Storming Media, 2004.

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Elsasser, Virginia Hencken, and Julia Ridgway Sharp. Textiles. 4th ed. Bloomsbury Publishing Inc, 2022. http://dx.doi.org/10.5040/9781501366499.

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Textiles: Concepts and Principles, Fourth Edition provides a thorough approach to the fundamentals of textiles in a readable, non-technical style, focusing on the interrelationship of textile components to help students understand and predict textile properties and performance to ultimately choose the best textile for their final product. With new co-author Julia Sharp, Virginia Elsasser covers the global textile industry and components of textile products, summarizes laws and regulations affecting the textile industry, and looks into career possibilities, properties, care instructions, end uses of natural and manufactured fibers, yarns, fabrics, coloration and finishes, and the overall impact of textiles on the environment. New to this Edition -Updated information on sustainability, laws and regulations, and technological advancements - New Did you know? feature in each chapter provides thoughtful insights into new developments in the textile industry -Inclusion of imperial and metric measurements for a more global scope STUDIO Features Include -Study smarter with self-quizzes featuring scored results and personalized study tips -Review concepts with flashcards of essential vocabulary -Download laboratory activities to aid comprehension Instructor Resources -Instructor's Guide with Test Bank provides suggestions for planning the course and using the text in the classroom, supplemental assignments, and lecture notes -PowerPoint® presentations include images from the book and provide a framework for lecture and discussion
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Book chapters on the topic "Fibers metrics"

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Neji, Radhouène, Ahmed Besbes, Nikos Komodakis, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, and Nikos Paragios. "Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics." In Lecture Notes in Computer Science, 14–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02498-6_2.

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Walschap, Gerard. "Fiber Bundles." In Metric Structures in Differential Geometry, 57–80. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21826-7_2.

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Jafarpour, Saber, and Andrew D. Lewis. "Fibre Metrics for Jet Bundles." In SpringerBriefs in Mathematics, 15–43. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10139-2_2.

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Bartolomé, E., M. J. Sánchez, F. Peña, and A. Horcada. "Testing objective metrics for the differentiation of coat colours in a Spanish alpaca population." In Fibre production in South American camelids and other fibre animals, 79–84. Wageningen: Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-727-1_9.

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Li, Junning, Yonggang Shi, and Arthur W. Toga. "Diffusion of Fiber Orientation Distribution Functions with a Rotation-Induced Riemannian Metric." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 249–56. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10443-0_32.

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Aranda, Ramón, Mariano Rivera, and Alonso Ramírez-Manzanares. "Improved Diffusion Basis Functions Fitting and Metric Distance for Brain Axon Fiber Estimation." In Advances in Image and Video Technology, 36–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25346-1_4.

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Chamberland, Maxime, Mia Winter, Thomas A. W. Brice, Derek K. Jones, and Emma C. Tallantyre. "Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways." In Computational Diffusion MRI, 227–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73018-5_18.

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Koussios, Sotiris. "Fiber Trajectories on Shells of Revolution—An Engineering Approach." In Composite Filament Winding, 49–64. ASM International, 2011. http://dx.doi.org/10.31399/asm.tb.cfw.t52860049.

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Abstract This chapter outlines a method for mathematically describing fiber trajectories on a shell of revolution. After a short outline of the basic geometry of shells of revolution, the focus shifts to fiber trajectories and their characteristic metrics, angles, and vectors. Next, the chapter focuses on the determination of various kinds of curvatures that eventually lead to the derivation of (non-) geodesic fiber trajectories according to a predetermined coefficient of friction. It concludes with the analysis of nongeodesics on conical segments, annuli, and cylinders.
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"Chapter 7 Metric and Symplectic Structures." In Smooth Manifolds and Fibre Bundles with Applications to Theoretical Physics, 181–246. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315366722-8.

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Sato, Tetsuo, and Kotaro Minato. "Differences in Analysis Methods of the Human Uncinate Fasciculus Using Diffusion Tensor MRI." In Advances in Bioinformatics and Biomedical Engineering, 162–70. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2113-8.ch017.

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The human uncinate fasciculus is an important cortico-cortical white matter pathway that directly connects the frontal and temporal lobes, but its exact functional role is not yet known. Using diffusion tensor Magnetic Resonance Imaging (MRI), the uncinate fasciculus can be extracted and its volume calculated. DTI metrics such as fractional anisotropy for the uncinate fasciculus can also be analyzed, but there are currently three different methods for this analysis. DTI reports on the uncinate fasciculus are conducted using region of interest, voxel-based, and fiber tracking deterministic approaches. Due to these differences in analysis methods, prior studies report conflicting levels of uncinate asymmetry measured with diffusion anisotropy. Here, the authors briefly introduce these three different methods for measuring uncinate asymmetry values and compare the results. This result can lead to a better understanding of the role of the uncinate fasciculus in future behavioral and clinical studies.
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Conference papers on the topic "Fibers metrics"

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SCHEY, MATHEW, and SCOTT E. STAPLETON. "THE DETERMINATION OF A 3D LENGTH SCALE USING LONG RECONSTRUCTED FIBER PATHS." In Proceedings for the American Society for Composites-Thirty Seventh Technical Conference. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/asc37/36446.

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Carbon fiber reinforced composites often exhibit large amounts of property scatter. Attempts at understanding composite property scatter have led researchers to generate many 2D models which ignore the 3D phenomenon of entanglement. Previous studies of entanglement have suggested it is correlated to a length scale, but have not had large enough samples to determine its size. In this study, fiber paths of long, entangled, continuous fibers were extracted from CT data of an automotive grade, heavy tow composite. Descriptive metrics of these fiber paths were used to quantify the entanglement as a function of position along the fiber direction. Using this data, several minimum length scales for capturing the behavior of multiple descriptors were determined. These length scales revealed where statistical representation of 3D fiber models provides superior information to that of 2D models.
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Wan, William, Hiromi Yanagisawa, and Rudolph L. Gleason. "Biomechanical and Microstructural Properties of Fibulin-5 Null Mice." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206435.

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Fibulin-5 is an extracellular matrix (ECM) protein that interacts with integrins and plays a critical role in organizing elastic fibers. Gross observation and histological examination reveal that carotid arteries from fibulin-5 knockout (fib5-/-) mice have disrupted elastic lamellae and are more tortuous [1]. The properties of fibulin-5 null mice provide a unique platform for developing constituent based models for vascular mechanics. While numerous models for blood vessels exist, there is a need to relate measurable microstructural metrics of structurally-based constitutive relations. We performed mechanical tests on carotid arteries from wildtype (WT) and fib5-/-mice and imaged live vessels under multiple loading scenarios to quantify microstructure during deformation. We also fit experimental results to a constitutive relation based on Holzapfel’s model [2]. These results provide a basis for further model development.
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Tutorial, A. "Demystifying Transceiver and Line Characterization Metrics." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/ofc.2019.w4h.3.

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Mehta, Priyanth. "Standardizing Performance Metrics for Submarine Transmission Paths." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ofc.2020.w1j.3.

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Sterlingov, Petr, William A. Wood, John S. Abbott, and Sergey Ten. "Comparison of Multimode Fiber Modal Bandwidth Metrics." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/ofc.2017.th2a.11.

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Conner, M., and P. Hanlon. "FTTH design metrics for greenfield deployments." In OFCNFOEC 2006. 2006 Optical Fiber Communication Conference and the National Fiber Optic Engineers Conference. IEEE, 2006. http://dx.doi.org/10.1109/ofc.2006.215666.

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Downie, John D., Xiaojun Liang, and Petr Sterlingov. "Power Efficiency in Submarine Systems Using Various Capacity Metrics." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/ofc.2021.w6a.33.

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Molin, Denis, Marianne Bigot-Astruc, and Pierre Sillard. "New MMF and VCSEL Metrics for System Reach Predictions." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/ofc.2014.th3c.7.

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Li, Jonathan C., Kerry Hinton, Sarah D. Dods, and Peter M. Farrell. "Enabling ASON Routing via Novel Signal Quality Metrics." In OFC/NFOEC 2007 - 2007 Conference on Optical Fiber Communication and the National Fiber Optic Engineers Conference. IEEE, 2007. http://dx.doi.org/10.1109/ofc.2007.4348936.

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Reese, S. P., S. A. Maas, and J. A. Weiss. "Micromechanical Models of Helical Fiber Organization in Crimped Tendon and Ligament Fibers Predict Large Poisson’s Ratios." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206377.

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The Poisson’s ratio is a measure of how much lateral contraction occurs in response to a uniaxial tensile strain, therefore making it a metric of the volumetric behavior of a material. A Poisson’s ratio greater than 0.5 for an isotropic material subjected to uniaxial tension is indicative of volume loss, which in the scheme of biphasic theory is believed to be manifested as fluid exudation. Experimentally obtained values for the Poisson’s ratio range from 0.8 in rat tail tendon, 1.3 in capsular ligament to 3.0 in flexor tendon [1,2,3]. In spite of the important implications of this volumetric response the micromechanical origins of these large Poisson’s ratios have been largely uninvestigated.
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