Relevant bibliographies by topics / From-To matrix

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Academic literature on the topic 'From-To matrix'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "From-To matrix"

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Adhikari, Vijay Kumar, Sourabh Jain, and Zhi-Li Zhang. "From traffic matrix to routing matrix." ACM SIGMETRICS Performance Evaluation Review 38, no. 3 (2011): 49–54. http://dx.doi.org/10.1145/1925019.1925029.

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Watheq, Laith, and Al-Salih Rasheed. "Devising an efficient approach to determine the optimal sequence of from-to matrix." Eastern-European Journal of Enterprise Technologies 4, no. 3 (112) (2021): 6–12. https://doi.org/10.15587/1729-4061.2021.237944.

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Sequencing is the most impact factor in many production areas, such as assembly lines, batch production, Travelling Salesman Problem (TSP), product sequences, process sequences, etc. The flow and analysis from one item to another can be presented by the square matrix in which the number of rows or columns is equal to the number of manipulated items, this special matrix form is called “From-To matrix”. The matrix suffers from many drawbacks when it is applied to determine the optimal sequences, such as the number of variables must be as small as possible, there is no flexibility to determine the start or the end sequence to find the best sequencing with some conditions. Also, there is no possibility to add relations to point a variable as wanted or prevented from the sequence. In this paper, we solve the From-To matrix by binary linear programming (BLP). The proposed BLP approach has been applied in Ur company to solve the From-To matrix. This company has a production line that can manufacture four products: A, B, C, and D, the setup time matrix is considered as From-To matrix and the goal of this company is to get an optimum sequence of products with minimum time. The solution of state transition of the From-To matrix using BLP can be formulated in the following five model cases according to transition requirement condition and desired: the first case gives all possible sequence items, the second case lists the sequence items when the first sequence is known, the third case lists the sequence items when the last sequence is known, the fourth case gives all possible sequence items with a condition that prevents occurring of an undesired sequence, and the fifth case gives all possible sequence items with the condition of a wanted occurring of the desired sequence. Furthermore, we found the optimum sequences for states by determining the start or end sequences, and also add the wanted relations or prevented. The mathematical formulas for the number of all sequences under some conditions are derived and proved
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Ramaswami, V. "From the matrix-geometric to the matrix-exponential." Queueing Systems 6, no. 1 (1990): 229–60. http://dx.doi.org/10.1007/bf02411476.

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Loring, Terry A. "From Matrix to Operator Inequalities." Canadian Mathematical Bulletin 55, no. 2 (2012): 339–50. http://dx.doi.org/10.4153/cmb-2011-063-8.

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AbstractWe generalize Löwner's method for proving that matrix monotone functions are operator monotone. The relation x ≤ y on bounded operators is our model for a definition of C*-relations being residually finite dimensional.Our main result is a meta-theorem about theorems involving relations on bounded operators. If we can show there are residually finite dimensional relations involved and verify a technical condition, then such a theorem will follow from its restriction to matrices.Applications are shown regarding norms of exponentials, the norms of commutators, and “positive” noncommutative ∗-polynomials.
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Sekino, Yasuhiro, and Tamiaki Yoneya. "From supermembrane to matrix string." Nuclear Physics B 619, no. 1-3 (2001): 22–50. http://dx.doi.org/10.1016/s0550-3213(01)00546-6.

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McCulloch, Ian P. "From density-matrix renormalization group to matrix product states." Journal of Statistical Mechanics: Theory and Experiment 2007, no. 10 (2007): P10014. http://dx.doi.org/10.1088/1742-5468/2007/10/p10014.

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Gil, José J. "From a nondepolarizing Mueller matrix to a depolarizing Mueller matrix." Journal of the Optical Society of America A 31, no. 12 (2014): 2736. http://dx.doi.org/10.1364/josaa.31.002736.

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Ali, Ahmed K., Astrid Layton, Patricia Kio, and Jewel Williams. "Matrix Trays: From waste to opportunities." Journal of Cleaner Production 300 (June 2021): 126813. http://dx.doi.org/10.1016/j.jclepro.2021.126813.

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Fumagalli, Monica, Laura Bassi, Ida Sirgiovanni, Fabio Mosca, Andrea Sannia, and Luca A. Ramenghi. "From germinal matrix to cerebellar haemorrhage." Journal of Maternal-Fetal & Neonatal Medicine 28, sup1 (2013): 2280–85. http://dx.doi.org/10.3109/14767058.2013.796168.

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Brinton, Laurel J. "From matrix clause to pragmatic marker." Journal of Historical Pragmatics 2, no. 2 (2001): 177–99. http://dx.doi.org/10.1075/jhp.2.2.02bri.

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The interpersonal pragmatic markers (now) look (here), look you, lookee, lookahere, and lookit are shown to be the result of originally free matrix clauses which become syntactically fixed, are reanalyzed as sentence adjuncts, and undergo internal coalescence, a process which began in the seventeenth century. Their development is considered an instance of grammaticalization exhibiting most, though not all, of the characteristics of the process. A new grammaticalization cline is proposed to account for the unidirectionality of the development.
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Dissertations / Theses on the topic "From-To matrix"

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Schatz, Sandra Regina. "From frankenstein to matrix." Florianópolis, SC, 2002. http://repositorio.ufsc.br/xmlui/handle/123456789/83728.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de comunicação e Expressão, Programa de Pós-Graduação em Letras/Inglês e Literatura Correspondente.<br>Made available in DSpace on 2012-10-20T02:49:28Z (GMT). No. of bitstreams: 0Bitstream added on 2014-09-26T01:01:56Z : No. of bitstreams: 1 182188.pdf: 2777855 bytes, checksum: 7b4d6a42680bc77daf11ab9ee93f46bd (MD5)<br>Este trabalho lida com o gênero literário de ficção científica. Combinando os princípios da "Cultural Criticism" e "Reader-Response Criticism," ele discute e interpreta duas narrativas ocidentais: Frankenstein de Mary Shelley e Matrix dos irmãos Wachowski. O trabalho se preocupa com dois aspectos relevantes: (1) a cultura Ocidental esmagando dependência na ciência e tecnologia e (2) o papel das narrativas como um instrumento de ambos apoio e mudança em relação aos valores e verdades propostas pelo discurso dominante ou cultura paradigmática.
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Seddik, Mohamed El Amine. "Random Matrix Theory for AI : From Theory to Practice." Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG010.

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De nos jours, l'IA repose en grande partie sur l'utilisation de données de grande taille et sur des méthodes d'apprentissage machine améliorées qui consistent à développer des algorithmes de classification et d'inférence en tirant parti de grands ensembles de données de grande taille. Ces grandes dimensions induisent de nombreux phénomènes contre-intuitifs, conduisant généralement à une mauvaise compréhension du comportement de nombreux algorithmes d'apprentissage machine souvent conçus avec des intuitions de petites dimensions de données. En tirant parti du cadre multidimensionnel (plutôt que d'en souffrir), la théorie des matrices aléatoires (RMT) est capable de prédire les performances de nombreux algorithmes non linéaires aussi complexes que certains réseaux de neurones aléatoires, ainsi que de nombreuses méthodes du noyau telles que les SVM, la classification semi-supervisée, l'analyse en composantes principales ou le regroupement spectral. Pour caractériser théoriquement les performances de ces algorithmes, le modèle de données sous-jacent est souvent un modèle de mélange gaussien (MMG) qui semble être une hypothèse forte étant donné la structure complexe des données réelles (par exemple, des images). En outre, la performance des algorithmes d'apprentissage automatique dépend du choix de la représentation des données (ou des caractéristiques) sur lesquelles ils sont appliqués. Encore une fois, considérer les représentations de données comme des vecteurs gaussiens semble être une hypothèse assez restrictive. S'appuyant sur la théorie des matrices aléatoires, cette thèse vise à aller au-delà de la simple hypothèse du MMG, en étudiant les outils classiques d'apprentissage machine sous l'hypothèse de vecteurs aléatoires concentrés qui généralisent les vecteurs Gaussiens. Cette hypothèse est particulièrement motivée par l'observation que l'on peut utiliser des modèles génératifs (par exemple, les GAN) pour concevoir des structures de données complexes et réalistes telles que des images, grâce à des transformations Lipschitzienne de vecteurs gaussiens. Cela suggère notamment que l'hypothèse de concentration sur les données mentionnée ci-dessus est un modèle approprié pour les données réelles et qui est tout aussi mathématiquement accessible que les MMG. Par conséquent, nous démontrons à travers cette thèse, en nous appuyant sur les GANs, l'intérêt de considérer le cadre des vecteurs concentrés comme un modèle pour les données réelles. En particulier, nous étudions le comportement des matrices de Gram aléatoires qui apparaissent au cœur de divers modèles linéaires, des matrices à noyau qui apparaissent dans les méthodes à noyau et également des méthodes de classification qui reposent sur une solution implicite (par exemple, la couche de Softmax dans les réseaux de neurones), avec des données aléatoires supposées concentrées. En particulier, la compréhension du comportement de ces matrices/méthodes, pour des données concentrées, nous permet de caractériser les performances (sur des données réelles si nous les assimilons à des vecteurs concentrés) de nombreux algorithmes d'apprentissage machine, tels que le clustering spectral, les SVM, l'analyse en composantes principales et l'apprentissage par transfert. L'analyse de ces méthodes pour des données concentrées donne le résultat surprenant qu'elles ont asymptotiquement le même comportement que pour les données de MMG. Ce résultat suggère fortement l'aspect d'universalité des grands classificateurs d'apprentissage machine par rapport à la distribution sous-jacente des données<br>AI nowadays relies largely on using large data and enhanced machine learning methods which consist in developing classification and inference algorithms leveraging large datasets of large sizes. These large dimensions induce many counter-intuitive phenomena, leading generally to a misunderstanding of the behavior of many machine learning algorithms often designed with small data dimension intuitions. By taking advantage of (rather than suffering from) the multidimensional setting, random matrix theory (RMT) is able to predict the performance of many non-linear algorithms as complex as some random neural networks as well as many kernel methods such as Support Vector Machines, semi-supervised classification, principal component analysis or spectral clustering. To characterize the performance of these algorithms theoretically, the underlying data model is often a Gaussian mixture model (GMM) which seems to be a strong assumption given the complex structure of real data (e.g., images). Furthermore, the performance of machine learning algorithms depends on the choice of data representation (or features) on which they are applied. Once again, considering data representations as Gaussian vectors seems to be quite a restrictive assumption. Relying on random matrix theory, this thesis aims at going beyond the simple GMM hypothesis, by studying classical machine learning tools under the hypothesis of Lipschitz-ally transformed Gaussian vectors also called concentrated random vectors, and which are more generic than Gaussian vectors. This hypothesis is particularly motivated by the observation that one can use generative models (e.g., GANs) to design complex and realistic data structures such as images, through Lipschitz-ally transformed Gaussian vectors. This notably suggests that making the aforementioned concentration assumption on data is a suitable model for real data and which is just as mathematically accessible as GMM models. Moreover, in terms of data representation, the concentration framework is compatible with one of the most widely used data representations in practice, namely deep neural nets (DNNs) representations, since they consist in a Lipschitz transformation of the input data (e.g., images). Therefore, we demonstrate through this thesis, leveraging on GANs, the interest of considering the framework of concentrated vectors as a model for real data. In particular, we study the behavior of random Gram matrices which appear at the core of various linear models, kernel matrices which appear in kernel methods and also classification methods which rely on an implicit solution (e.g., Softmax layer in neural networks), with concentrated random inputs. Indeed, these methods are at the heart of many classification, regression and clustering machine learning algorithms. In particular, understanding the behavior of these matrices/methods, for concentrated data, allows us to characterize the performances (on real data if we assimilate them to concentrated vectors) of many machine learning algorithms, such as spectral clustering, SVMs, principal component analysis and transfer learning. Analyzing these methods for concentrated data yields to the surprising result that they have asymptotically the same behavior as for GMM data (with the same first and second order statistics). This result strongly suggest the universality aspect of large machine learning classifiers w.r.t. the underlying data distribution
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Greenhill, Catherine. "From multisets to matrix groups : some algorithms related to the exterior square." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360301.

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Vivo, Pierpaolo. "From Wishart to Jacobi ensembles : statistical properties and applications." Thesis, Brunel University, 2008. http://bura.brunel.ac.uk/handle/2438/2733.

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Sixty years after the works of Wigner and Dyson, Random Matrix Theory still remains a very active and challenging area of research, with countless applications in mathematical physics, statistical mechanics and beyond. In this thesis, we focus on rotationally invariant models where the requirement of independence of matrix elements is dropped. Some classical examples are the Jacobi and Wishart-Laguerre (or chiral) ensembles, which constitute the core of the present work. The Wishart-Laguerre ensemble contains covariance matrices of random data, and represents a very important tool in multivariate data analysis, with recent applications to finance and telecommunications. We will first consider large deviations of the maximum eigenvalue, providing new analytical results for its large N behavior, and then a power-law deformation of the classical Wishart-Laguerre ensemble, with possible applications to covariance matrices of financial data. For the Jacobi matrices, which arise naturally in the quantum conductance problem, we provide analytical formulas for quantities of interest for the experiments.
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Li, Yihua M. Eng Massachusetts Institute of Technology. "Blind regression : understanding collaborative filtering from matrix completion to tensor completion." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105983.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 37-39).<br>Neighborhood-based Collaborative filtering (CF) methods have proven to be successful in practice and are widely applied in commercial recommendation systems. Yet theoretical understanding of their performance is lacking. In this work, we introduce a new framework of Blind Regression which assumes that there are latent features associated with input variables, and we observe outputs of some Lipschitz continuous function over those unobserved features. We apply our framework to the problem of matrix completion and give a nonparametric method which, similar to CF, combines the local estimates according to the distance between the neighbors. We use the sample variance of the difference in ratings between neighbors as the proximity of the distance. Through error analysis, we show that the minimum sample variance is a good proxy of the prediction error in the estimates. Experiments on real-world datasets suggests that our matrix completion algorithm outperforms classic user-user and item-item CF approaches. Finally, our framework easily extends to the setting of higher-order tensors and we present our algorithm for tensor completion. The result from real-world application of image inpainting demonstrates that our method is competitive with the state-of-the-art tensor factorization approaches in terms of predictive performance.<br>by Yihua Li.<br>M. Eng.
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Jahed, Motlagh Zeinab. "Cellular and Molecular Responses to Mechanical Cues| From the Extracellular Matrix to the Nucleus." Thesis, University of California, Berkeley, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10812529.

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<p> Mechanical signals affect virtually every fundamental single- and multi-cellular process in biology. The local responses of individual molecules to mechanical stimuli at the interface of cell with its adjacent microenvironment (extracellular matrix or material) elicit global responses at the cell and tissue scales. Understanding and manipulating the cell-material interaction can be leveraged to design biomaterials with unique characteristics tailored towards a wide variety of biological applications such as platforms that direct stem cell differentiation for tissue engineering, sensors that can record accurate electrical signals in single cells for neuroscience, and implants that are susceptible to cell adhesion for biomedical applications. In this thesis I present work characterizing the response of cells to mechanical stimuli at the single cell and single molecule scales. At the single cell scale, we provide insights into how mechanical signals such as micro- and nano-topography of metallic and metallic surfaces affect cell adhesion, both in mammalian and bacterial cells. Next we characterize the mechanical response of protein complexes involved in the transmission of mechanical signals across the cytoskeleton to the nucleus. </p><p> The four main contributions of the work presented in this thesis are as follows: 1) We used high resolution scanning electron microscopy to characterize the cell-nanostructure interface and provide insights into the response of individual mammalian cells to nanostructures with complex geometries. 2) We provide a first look at how individual bacterial cells adhere to metallic nanostructures, which could lead to new techniques to thwart infections. 3) We proposed a novel technique to control the growth and arrangements of bacterial cell communities. This method will allow precise small-scale mechanical manipulation of bacterial cells and could be utilized for unraveling the understudied mechanisms of bacterial mechanosensitivity. 4) We performed the first molecular dynamics study on the mechanisms of force transmission to the nucleus of eukaryotic cells through protein complexes known as linkers of the nucleoskeleton and cytoskeleton (LINC complexes). We showed that LINC complexes are highly stable under tensile forces, and that the transmission of force across the complex depends highly on the unique intermolecular covalent bonds formed between the two proteins that construct the complex. Finally, we presented a model for the molecular mechanisms of LINC complex activation and regulation at the nuclear envelope.</p><p>
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Wang, Huan. "Signaling from matrix elasticity and TGF-beta1 to cells of the cardiac valve." Thesis, University of Colorado at Boulder, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3562064.

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<p> Coordinated movement of cardiac valves controls unidirectional flow of the blood with every heart beat. Cardiac valves are composed of thin, pliable leaflets that withstand compressive tension, fluid shear stress, and bending stress as blood flows through them. The structure and the mechanical properties of the valves render them durable during the lifetime of human beings. However, changes in hemodynamic environment, inflammatory responses, and congenital valvular defects can all cause valves to undergo irreversible structural changes, one of which is calcific aortic stenosis (CAS). CAS affects 2-3% of the population over 65 years old in the western world, and the only effective treatment is valve replacement surgery. CAS is characterized by tissue stiffening and the formation of calcified nodules, the development of which is associated with abnormal differentiation of resident fibroblasts known as valvular interstitial cells (VICs). Upon tissue injury, VICs are activated to myofibroblasts which deposit excessive collagen and stiffen the matrix. Understanding how the pathogenic phenotype of VICs is regulated by cues from the matrix may lead to new therapeutic treatments for CAS. In this thesis, I examined how matrix elasticity and TGF-&beta;1 regulate VIC phenotypes. First, I characterized the VIC population from porcine aortic valves and showed that this population is relatively homogeneous. When I cultured these primary cells on different substrates, I found that poly(ethylene glycol) hydrogels mimicked the native valve matrix better than tissue culture polystyrene plates with respect to preserving the quiescent fibroblast phenotype. At the level of signaling, I demonstrated that this is mediated through an elasticity-regulated PI3K/AKT pathway. Additionally, I showed that reduced matrix rigidity redirected activated valvular myofibroblasts into dormant fibroblasts without inducing significant apoptosis. Finally, I examined the effect of TGF-&beta;1 on VIC gene expression over time with microarray-based gene expression profiling and found that TGF-&beta;1 up-regulated cell-cell contact proteins (e.g., OB-cadherin, N-cadherin) in order to regulate valvular myofibroblast activation. Collectively, my thesis work revealed novel mechanosensing mechanisms employed by VICs to respond to matrix elasticity and explored the complex interactions among multiple extracellular cues, including matrix elasticity, TGF-&beta;1 and cell-cell adhesion, to direct the cellular fate of VICs.</p>
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Bouguerba, Ahlem. "Metabolism of the extracellular matrix in brown algae : from gene identification to biochemical characterization." Electronic Thesis or Diss., Sorbonne université, 2025. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2025SORUS032.pdf.

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Les algues brunes, eucaryotes photosynthétiques marins appartenant à la lignée des Stramenopiles, présentent une trajectoire évolutive distincte de celle des plantes, des animaux et des autres eucaryotes multicellulaires. Au sein de cette lignée, elles constituent le seul groupe à avoir développé une multicellularité complexe, accompagnée de l'élaboration d'une matrice extracellulaire (MEC) entourant leurs cellules. Cette MEC, essentiellement polysaccharidique, se distingue par une biochimie unique parmi les eucaryotes, dominée par des alginates et des polysaccharides sulfatés contenant du fucose (FCSP), dont les fucanes. Malgré leur rôle essentiel dans la physiologie des algues, la compréhension des voies métaboliques de ces polysaccharides a longtemps été entravée par un manque de données génomiques. Si l'accès à la séquence génomique d'Ectocarpus en 2010 a permis d'établir les bases moléculaires, l'accès à des données génomiques plus vastes étaient nécessaires. Dans le cadre de cette thèse, j'ai adopté diverses approches pour étudier des enzymes clés impliquées dans le métabolisme de l'alginate et du fucane. Grâce à des efforts collaboratifs, combinés à l'accès à un vaste jeu de données génomiques, nous avons annoté un large panel de gènes impliqués dans ces métabolismes, dont les enzymes actives sur les carbohydrates (CAZymes). Nous avons affiné nos prédictions de gènes candidats impliqués dans la biosynthèse des fucanes, en particulier les gènes codant pour des fucosyltransférases. Nous avons retracé l'histoire évolutive du métabolisme de l'alginate au sein des Stramenopiles. J'ai étudié la multimodularité de deux familles de CAZymes potentiellement impliquées dans la dégradation de l'alginate, mettant en évidence de nouveaux extra-domaines susceptibles de jouer un rôle dans le métabolisme de l'alginate et dans les processus de signalisation. Pour compléter ces analyses in silico, j'ai exploré l'expression recombinante d'un large éventail d'enzymes clés potentiellement impliquées dans la biosynthèse des fucanes et la dégradation de l'alginate. Malgré les défis notoires associés à l'expression des protéines issues d'algues brunes, j'ai réussi à exprimer une fucosyltransférase, SlFUT1, sous forme soluble. Fort de ce succès, j'ai optimisé sa production ainsi que sa purification, et confirmé que le GDP-fucose est le donneur préférentiel de SlFUT1. J'ai également démontré son activité fucosyltransférase sur des FCSPs et des oligofucanes non sulfatés synthétisés chimiquement. La caractérisation biochimique de SlFUT1 en fait la première glycosyltransférase validée ayant une activité de synthèse du fucane. Cette recherche marque une avancée majeure dans notre compréhension des voies métaboliques des polysaccharides de la matrice extracellulaire des algues brunes, ouvrant de nouvelles perspectives pour l'étude fonctionnelle de ces métabolismes<br>Brown algae are marine eukaryotes belonging to the Stramenopiles lineage. They exhibit a distinct evolutionary trajectory from plants, animals, and other multicellular eukaryotes. They are the only group to have developed complex multicellularity within this lineage, which came with the formation of an elaborate extracellular matrix (ECM) surrounding their cells. This ECM features a unique biochemistry among eukaryotes, predominantly dominated by gel-forming alginates and fucose-containing sulfated polysaccharides (FCSPs), including fucans. Despite their critical role in algal physiology, the understanding of carbohydrate metabolic pathways in brown algae has long been hindered by a lack of genomic data. While sequencing the Ectocarpus genome in 2010 laid groundwork for molecular studies, broader genome analyses were needed. In this thesis, I adopted a range of approaches to investigate key enzymes involved in alginate and fucan metabolism. Through collaborative efforts paired with access to multiple genomic data, we successfully annotated a large range of genes involved in these metabolisms, including Carbohydrate Active Enzymes (CAZymes). We refined predictions for fucan biosynthesis, with a particular focus on enzymes encoding fucosyltransferases. We also traced the evolutionary history of alginate metabolism within Stramenopiles. I further examined the multimodular nature of two CAZyme families potentially involved in alginate degradation, uncovering novel extra-domains that may play roles in both alginate metabolism and signaling processes. To complement these in silico analyses, I explored the recombinant expression of a wide range of key enzymes involved in fucan biosynthesis and alginate degradation. Despite the notorious challenges of expressing brown algal proteins, I succeeded in expressing a putative fucosyltransferase, SlFUT1, in its soluble form. Building on this success, I optimized both its production and purification and confirmed that GDP-fucose is the preferred sugar donor for SlFUT1. I also demonstrated its fucosyltransferase activity on both FCSPs and unsulfated oligofucans which were chemically synthesized. The biochemical characterization of SlFUT1 establishes it as the first validated glycosyltransferase with a fucan-synthase activity. This research advances our understanding on the metabolic pathways of extracellular matrix polysaccharides in brown algae, paving the way for further functional exploration of these metabolisms
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Peck, Timothy J. "Moving from "me" to "we" integrating leadership and expository preaching using a corporate relevance matrix /." Online full text .pdf document, available to Fuller patrons only, 2001. http://www.tren.com.

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White, Kirrily. "From Trypillia to Tswana: A Global Perspective on Giant Low-Density Settlements." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28688.

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Giant settlements worldwide which incorporated large amounts of open space, such as Cahokia, Great Zimbabwe and the European oppida, have long seemed anomalous to scholarship because they did not match the characteristics of conventional urbanism. It is now apparent that these settlements appeared relatively frequently in diverse conditions across the world over the past 7000 years and they may constitute a form of human settlement behaviour that has not yet been consistently articulated. In Limits of Settlement Growth, Roland Fletcher (1995) identified that such settlements sit outside usual categories for specifying conditions of settlement operation in the past. He predicted that these settlements would have dropped to a low-density internal pattern as they expanded to large size. In his parlance they operated below a Threshold Limit on the Interaction-Communication Matrix and would not therefore be constrained in their areal expansion. The aim of this research was to test Fletcher’s prediction for these sites in the I-C Model and explore the findings to delineate boundary conditions of their operation. A dataset of sites 100 ha or larger was compiled and compared across variables such as area, population mobility, durations and demise. Using a recently updated version of the I-C Matrix, these settlements were found to have operated beneath the Mobile Interaction-Limit as well as at lower densities. The mobility component of their operation varied substantially and there may be more than one type of human settlement behaviour indicated. Structurally, they were giant variants of preceding and contemporaneous settlement forms emergent under conditions of regional or sub-regional population increase rather than transformations. While individually they could have short durations, they could appear multiple times in a culture region and were resilient to all but regional systemic change.
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Books on the topic "From-To matrix"

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Lagarto, António. De Matrix a Bela Adormecida: From Matrix to Sleeping Beauty : António Lagarto. INCM, Imprensa Nacional Casa da Moeda, 2015.

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Doeuff, R. Le. Electrical rotating machines: From matrix modeling to implementation. ISTE, 2009.

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Doeuff, R. Le. Electrical rotating machines: From matrix modeling to implementation. ISTE, 2009.

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Doeuff, R. Le. Electrical rotating machines: From matrix modeling to implementation. ISTE, 2009.

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Mohamed, El Hadi Zaïm, ed. Electrical rotating machines: From matrix modeling to implementation. ISTE, 2009.

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Li, Haitao, Xinrong Yang, and Wenrong Li. From Boolean Matrix Theory to Logical Dynamical Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2967-1.

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Gratzer, W. B. Giant molecules: From nylon to nanotubes. Oxford University Press, 2009.

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Gorbenko, Victor. From QCD Flux Tubes to Gravitational S-matrix and Back. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44603-5.

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Randolph, Shirley L. Kids learn from the inside out: How to enhance the human matrix. Legendary Pub. Co., 1994.

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Randolph, Shirley L. Kids learn from the inside out: How to enhance the human matrix. 2nd ed. Legendary Pub. Co., 1998.

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Book chapters on the topic "From-To matrix"

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Gagniuc, Paul A. "Matrix Operations." In Coding Examples from Simple to Complex. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53820-9_7.

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Gagniuc, Paul A. "Matrix Operations." In Coding Examples from Simple to Complex. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53812-4_7.

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Gagniuc, Paul A. "Matrix Operations." In Coding Examples from Simple to Complex. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53805-6_7.

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Grünwald, Barbara, Pascal Schlage, Achim Krüger, and Ulrich auf dem Keller. "MMPs: From Genomics to Degradomics." In Matrix Metalloproteinase Biology. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118772287.ch9.

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Stawikowski, Maciej J., and Gregg B. Fields. "Matrix Metalloproteinases: From Structure to Function." In Matrix Metalloproteinase Biology. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118772287.ch1.

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Fragai, Marco, and Claudio Luchinat. "Matrix Metalloproteinases: From Structure to Function." In Matrix Metalloproteinase Biology. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118772287.ch3.

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Ricard-Blum, Sylvie. "Extracellular Matrix Networks: From Connections to Functions." In Extracellular Matrix Omics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58330-9_6.

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Long, Kenneth. "From Army Major To Systems Expert." In Trading Beyond the Matrix. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119204770.ch4.

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Morozov, Alexei. "Challenges of Matrix Models." In String Theory: From Gauge Interactions to Cosmology. Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3733-3_6.

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Mackiewicz, Zygmunt, Yrjö Tapio Konttinen, Emilia Kaivosoja, et al. "Extracellular Matrix and Tissue Regeneration." In Regenerative Medicine - from Protocol to Patient. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27583-3_1.

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Conference papers on the topic "From-To matrix"

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Wang, Jing, Hao Zhang, and Wenwen Zhang. "Enhanced photonic accelerator design for efficient vector-matrix multiplication in deep learning." In Photonic Computing: From Materials and Devices to Systems and Applications, edited by Xingjie Ni and Wenshan Cai. SPIE, 2024. http://dx.doi.org/10.1117/12.3026855.

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Ohashi, Noboru, Ryuji Kaneko, Minh Anh Truong, et al. "Development of Flexible Perovskite Solar Cells toward High Power-to-weight Ratio: From Small Cells to Large Modules." In 2024 31st International Workshop on Active-Matrix Flatpanel Displays and Devices (AM-FPD). IEEE, 2024. http://dx.doi.org/10.23919/am-fpd61635.2024.10615295.

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Smith, R. L., K. Al-Battat, R. John, et al. "From Radiomics to Deep Learning: Leveraging Gramian Matrix Features in CNNs for NSCLC Survival Analysis." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10657697.

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Samkari, Kais, and Ammar Joukhadar. "Comparison Matrix for Web HCI." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530335.

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OJIMA, IZUMI. "ROLES OF ASYMPTOTIC CONDITION AND S-MATRIX AS MICRO-MACRO DUALITY IN QFT." In From Quantum Information to Bio-Informatics. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814304061_0023.

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Youssef, H., H. Elmokdad, F. Ndagijimana, and J. Jomaah. "A Three-Dimensional Transmission Line Matrix Method (TLM) In Curvilinear Coordinates." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530142.

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Al-Qaisi, Aws, W. L. Woo, and S. S. Dlay. "Sparsity Exploitation of Mixing Matrix and Reflectivity sequence for ICA-Blind Seismic Deconvolution." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530046.

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Raad, Ibrahim S., and Xiaojing Huang. "Analytical Study of the Rotation Spreading Matrix of Block Spread OFDM with MMSE Equalization." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530237.

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Lei, Lin, Hao Zhang, Shaoquan Zhang, Chengzhi Deng, Fan Li, and Shengqian Wang. "Spatial-spectral graph regularized sparse nonnegative matrix factorization hyperspectral unmixing." In Earth and Space: From Infrared to Terahertz (ESIT 2022), edited by Junhao Chu. SPIE, 2023. http://dx.doi.org/10.1117/12.2665779.

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Zhivotovsky, L. A., and V. I. Ul'ynov. "From coherence matrix to antenna space." In International Symposium on Antennas and Propagation Society, Merging Technologies for the 90's. IEEE, 1990. http://dx.doi.org/10.1109/aps.1990.115176.

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Reports on the topic "From-To matrix"

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Slaughter, William S., J. L. Sanders, and Jr. A Model for Load-Transfer from an Embedded Fiber to an Elastic Matrix. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada228466.

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Hickman, James J., Joseph Bielitzki, Melissa Hirsh-Kuchma, Jeff Anderson, Kate Saunders, and Cathleen Wolf. Determining Extracellular Matrix Deposition Quantity and Composition from Cells in Response to Electronic Materials. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada475749.

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Lin, Yao, Junbing He, Liangping Chen, Yuling Xu, Mingwei Xu, and Qinghua Liu. Enamel matrix derivative in the treatment of tooth replantation: from biological basis to clinical application. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.5.0016.

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Robertson, R., and D. D. Burgess. Rapid separation of the rare-earth elements from some matrix interferences prior to analysis by neutron activation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/193316.

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Robertson, R. A quick separation of the rare-earth elements from some major matrix interferences prior to analysis by neutron activation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/193286.

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Leal, L. C. R-MATRIX RESONANCE ANALYSIS AND STATISTICAL PROPERTIES OF THE RESONANCE PARAMETERS OF 233U IN THE NEUTRON ENERGY RANGE FROM THERMAL TO 600 eV. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/777670.

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Salcedo, Felipe, Jose Bejarano, Juan Diaz, Yina Ortega, and Ariel Vaca. Production of a starch-based polymeric coating with incorporation of bioactive principles from chemical synthesis to extend the shelf life of cavendish banana. Universidad de los Andes, 2024. https://doi.org/10.51573/andes.pps39.ss.bbb.4.

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Crown rot is a severe postharvest disease affecting tropical and subtropical fruits like mango, avocado, papaya, and banana. It is caused by fungal pathogens that penetrate the fruit, reducing its pulp and leading to premature ripening. Systemic fungicides have been used to control these fungi, typically applied to seeds, leaves, or fruits to prevent disease spread. However, traditional fungicides can pose toxicity risks to the environment and human health. Essential oils are chemical substances that can be found in plants and have antifungal capacity. Essential oils are being investigated as an alternative to traditional fungicides since they are less toxic to the environment and human health; however, they are more expensive and less efficient than traditional fungicides. Accordingly, chemically synthesizing the chemical compounds that are the active antifungal agent inside essential oils can be an ecological and effective approach to produce a new generation of antifungals. In this study, modified starch was investigated as a carrier for thymol (active antifungal agent in thyme oil) incorporation using four distinct methods. Emulsions of starch and thymol were prepared and spray dried to obtain a soluble powder that was used to produce coatings. The most effective method for thymol incorporation yields a retention of approximately 40% according to gas chromatography analysis. In-vitro results indicated that thymol incorporated into the matrix exhibited antifungal effects against key fungi responsible for crown rot disease in Cavendish bananas at concentrations greater than 6% w/w relative to the coating matrix.
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Ayala – García, Jhorland, and Federico Ceballos – Sierra. How do environmental shocks affect competitors in a supply chain? Evidence from a competitors’ weighting matrix. Banco de la República, 2024. http://dx.doi.org/10.32468/dtseru.324.

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Quantifying the impact of supply shocks on global commodity trade networks is an increasing concern for researchers under the current threats of climate change and the lessons from the COVID-19 pandemic. This paper proposes a novel methodology to estimate these effects across the entire trade network: we create a weight matrix based on an index that captures the extent to which two coffee-producing countries compete within consumer markets. Using this matrix, we estimate the degree to which an adverse weather shock in a coffee-producing country influences the coffee production of its competitors. Our results show that this adverse shock has a negative direct effect on the country’s coffee exports and, importantly, a positive effect on the quantities produced by its competitors.
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Muelaner, Jody Emlyn. Recyclability and Embodied Energy of Advanced Polymer Matrix Composites. SAE International, 2023. http://dx.doi.org/10.4271/epr2023018.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Recycling of advanced composites made from carbon fibers in epoxy resins is essential for two primary reasons. First, the energy necessary to produce carbon fibers is very high and therefore reusing these fibers could greatly reduce the lifecycle energy of components which use them. Second, if the material is allowed to break down in the environment, it will contribute to the growing presence of microplastics and other synthetic pollutants.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Recyclability and Embodied Energy of Advanced Polymer Matrix Composites&lt;/b&gt; discusses current recycling and disposal disposal methods—which typically do not aim for full circularity, but rather successive downcycling—and addresses the major challenge of aligning fibers into unidirectional tows of real value in high-performance composites.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Leeb, Helmut, Paraskevi Dimitriou, and Ian Thompson. R-Matrix Codes for Charged-particle Reactionsin the Resolved Resonance Region (4). IAEA Nuclear Data Section, 2018. http://dx.doi.org/10.61092/iaea.59jc-2d3b.

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A Consultants’ Meeting was held at the IAEA Headquarters from 27 to 29 August 2018, to discuss the results of a coordinated effort to verify R-matrix codes through a well-defined exercise. Six R-matrix codes were included in this verification exercise: AMUR, AZURE2, EDA, RAC, SFRESCOX, and SAMMY. Furthermore, the contents of the final publication of this exercise were considered in this meeting. This report summarizes the presentations and technical discussions of the meeting, as well as any additional actions that were proposed.
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