Relevant bibliographies by topics / Functional depth

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Functional depth'

Author: Grafiati
Published: 28 September 2024

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Journal articles on the topic "Functional depth"

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Claeskens, Gerda, Mia Hubert, Leen Slaets, and Kaveh Vakili. "Multivariate Functional Halfspace Depth." Journal of the American Statistical Association 109, no. 505 (January 2, 2014): 411–23. http://dx.doi.org/10.1080/01621459.2013.856795.

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Helander, Sami, Germain Van Bever, Sakke Rantala, and Pauliina Ilmonen. "Pareto depth for functional data." Statistics 54, no. 1 (December 12, 2019): 182–204. http://dx.doi.org/10.1080/02331888.2019.1700418.

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Tuya, F., A. Herrero-Barrencua, N. E. Bosch, A. D. Abreu, and R. Haroun. "Reef fish at a remote tropical island (Principe Island, Gulf of Guinea): disentangling taxonomic, functional and phylogenetic diversity patterns with depth." Marine and Freshwater Research 69, no. 3 (2018): 395. http://dx.doi.org/10.1071/mf17233.

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The ecology of reef fish varies with depth, although patterns in diversity remain largely undescribed, in particular the complementarity of their taxonomic, functional and phylogenetic facets. In the present study we investigated patterns of taxonomic, functional and phylogenetic diversity of fish on 21 reefs, at depths ranging from 3 to 31m, at Príncipe Island (Gulf of Guinea). Taxonomic and functional diversity decreased monotonically with depth; the pattern was less accentuated for phylogenetic diversity. Functional diversity was saturated at high levels of taxonomic diversity, reflecting redundancy in species traits, particularly at the shallower reefs. Functional diversity increased linearly with phylogenetic diversity; thus, increasing niche availability seems to translate into a larger diversity of phylogenies. Dissimilarities in the structure and composition of fish assemblages among reefs were correlated with differences in depth, including a progressive turnover in species. Depth affected the functional traits of nearshore reef fish. Trophic breadth decreased with depth; carnivores and planktivores increased with depth, whereas herbivores decreased with depth. Small-sized fusiform fish dominated on the shallowest reefs. In summary, the present study demonstrated decays in biodiversity, from different perspectives, of reef fish with depth, which are connected with shifts in fish traits.
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Nawy, Tal. "In-depth functional dissection of enhancers." Nature Methods 9, no. 4 (March 27, 2012): 323. http://dx.doi.org/10.1038/nmeth.1963.

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Ieva, Francesca, and Anna M. Paganoni. "Depth Measures for Multivariate Functional Data." Communications in Statistics - Theory and Methods 42, no. 7 (April 2013): 1265–76. http://dx.doi.org/10.1080/03610926.2012.746368.

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López-Pintado, Sara, and Juan Romo. "Depth-based inference for functional data." Computational Statistics & Data Analysis 51, no. 10 (June 2007): 4957–68. http://dx.doi.org/10.1016/j.csda.2006.10.029.

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Lehman, Will, and R. Hasanzadeh Nafari. "An Empirical, Functional approach to Depth Damages." E3S Web of Conferences 7 (2016): 05002. http://dx.doi.org/10.1051/e3sconf/20160705002.

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Howieson, Diane B. "The Functional Brain in Depth and Breadth." Journal of the International Neuropsychological Society 4, no. 6 (November 1998): 691. http://dx.doi.org/10.1017/s1355617798256165.

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This book gives a comprehensive account of the functional neuroanatomy of the brain. The first edition, Neuropsychology, Neuropsychiatry, and Behavioral Neurology (1990), consisted of topics traditional for this subject matter, such as “The Cerebral Hemispheres,” “The Limbic System,” and “Neuroanatomy and Pathophysiology of Head Injury, Stroke, Neoplasm, and Abnormal Development.” With the addition of eleven new chapters, the second edition is impressive and unique in its range of topics. The new chapters cover evolution and ontogeny of the brain, social–emotional intelligence, and such unusual topics as the neurophysiology of repression and religious experiences, and the origins of life. One section is titled “The Birth of God and Limbic Hyperactivation.” The writing style is clear and compelling. Most topics are well referenced with scientific literature and include informative illustrations. More theoretical topics are presented with logical arguments.
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Agostinelli, Claudio. "Local half-region depth for functional data." Journal of Multivariate Analysis 163 (January 2018): 67–79. http://dx.doi.org/10.1016/j.jmva.2017.10.004.

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Sguera, Carlo, Pedro Galeano, and Rosa Lillo. "Spatial depth-based classification for functional data." TEST 23, no. 4 (May 20, 2014): 725–50. http://dx.doi.org/10.1007/s11749-014-0379-1.

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Dissertations / Theses on the topic "Functional depth"

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Adams, Daniel Lewis. "Functional organisation of the monkey visual cortex for stereoscopic depth." Thesis, University College London (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268000.

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Thompson, Helen Louise. "Molecular architecture and functional group effects on segregation in polymers." Thesis, Durham University, 1998. http://etheses.dur.ac.uk/5000/.

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The properties of a polymer surface can be manipulated by the addition of a small quantity of surface active functionalised polymer to the bulk. On annealing above the glass transition these low surface energy functional groups attach to the air/polymer interface forming a brush like layer. To quantify this effect perdeuterated polystyrenes with fluoroalkane groups at specific locations in the polymer have been blended with unmodified polystyrene. Three key areas have been studied; effect of molecular architecture; effect of the molecular weight of the matrix polymer; and the rate of formation of the segregating layer. The complementary techniques of neutron reflectometry and nuclear reaction analysis have been used to determine the near surface depth profile of the deuterated polymer. Architectures studied were linear polystyrene with functional groups at both ends of the polymer chain, a 3-armed star with a functional core and linear polystyrene with functional groups evenly spaced along the chain. The architecture affected the shape of the composition profile but had little effect on the surface volume fraction and surface excess values obtained for the same bulk volume fraction. Self-consistent field theory simulations were carried out to determine the 'sticking energy' of the functional groups and good comparisons were obtained between the experimental volume fraction profiles and those predicted. Some segregation of functional polymer was observed during sample preparation and equilibrium segregation was obtained in less than one hour for 50000 M(_W) linear polymer up to eight hours for the 3-armed star after annealing under vacuum at 413K. For the difunctional polystyrene the functional groups did not have a significant affect on the rate of diffusion compared to non-functional polystyrene and diffusion coefficients obtained ranged from 6x10(^-16) to 9x10(^-15) cm(^2)s(^-1) The 3-armed star had the lowest diffusion coefficient value of 2xl0(^-16) cm(^-2)s(^-1) because of the inability for branched molecules to diffuse by reptation.
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Sood, Kanika. "Comparison of Functional Dependency Extraction Methods and an Application of Depth First Search." Thesis, University of Oregon, 2014. http://hdl.handle.net/1794/18413.

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Extracting functional dependencies from existing databases is a useful technique in relational theory, database design and data mining. Functional dependencies are a key property of relational schema design. A functional dependency is a database constraint between two sets of attributes. In this study we present a comparative study over TANE, FUN, FD_Mine, FastFDs and Dep_Miner, and we propose a new technique, KlipFind, to extract dependencies from relations efficiently. KlipFind employs a depth-first, heuristic driven approach as a solution. Our study indicates that KlipFind is more space efficient than any of the existing solutions and highly efficient in finding keys for relations.
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Obrová, Klára [Verfasser], and Michael [Akademischer Betreuer] Lanzer. "In depth functional characterization of Plasmodium berghei ferlin-like protein / Klara Obrova ; Betreuer: Michael Lanzer." Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/1177044218/34.

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Risterucci, Paul. "Coupling of electron spectroscopies for high resolution elemental depth distribution profiles in complex architectures of functional materials." Thesis, Ecully, Ecole centrale de Lyon, 2015. http://www.theses.fr/2015ECDL0047/document.

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Ce travail de thèse est focalisé sur la détermination, de manière non-destructive, d'interfaces profondément enterrées dans des empilements multi-couches utilisés dans les conditions de technologie réelles au travers d'une méthode innovante basée sur la photoémission avec utilisation de rayons-x de haute énergie (HAXPES) et l'analyse du fond continu inélastique. Au cours de cette thèse, une procédure numérique a été développée pour quantifier la correspondance entre la mesure du fond continu faite par HAXPES et la simulation du fond continu représentative d'une distribution en profondeur donnée. Cette méthode permet de trouver la distribution en profondeur d'un élément grâce à une procédure semi automatisée. Dans un premier temps cette méthode a été testée en étudiant une couche ultra fine de lanthane enterrée à une profondeur >50 nm dans un dispositif de grille métallique high-k. L'influence des paramètres utilisés lors de l'analyse y est étudiée et révèle l'importance principale d'un paramètre en particulier, la section efficace de diffusion inélastique. La combinaison de mesures HAXPES avec l'analyse du fond continu inélastique utilisant cette nouvelle méthode permet d'augmenter la profondeur de sonde jusqu'à un niveau sans précédent. Ainsi l'échantillon peut être sondé jusqu'à 65 nm sous la surface avec une haute sensibilité à une couche nanométrique. Dans un second temps, la méthode précédemment validée d'analyse de fond continu inélastique est combinée avec une étude haute résolution des niveaux de cœur dans un échantillon servant de source dans un transistor à haute mobilité. Les deux analyses sont complémentaires puisqu'elles permettent d'obtenir la distribution en profondeur des éléments ainsi que leur environnement chimique. Le résultat donne une description complète des diffusions élémentaires dans l'échantillon suivant les différentes conditions de recuit
This thesis tackles the challenge of probing in a non-destructive way deeply buried interfaces in multilayer stacks used in technologically-relevant devices with an innovative photoemission method based on Hard X-ray PhotoElectron Spectroscopy (HAXPES) and inelastic background analysis. In this thesis, a numerical procedure has been implemented to quantify the matching between a HAXPES measured inelastic background and a simulated inelastic background that is representative of a given depth distribution of the chemical elements. The method allows retrieving depth distributions at large depths via a semi-automated procedure. First, this method has been tested by studying an ultra-thin layer of lanthanum buried at depth >50 nm in a high-k metal gate sample. The influence of the parameters involved in the analysis is studied unraveling the primary importance of the inelastic scattering cross section. The combination of HAXPES with inelastic background analysis using this novel method maximizes the probing depth to an unprecedented level, allowing to probe the sample up to 65 nm below the surface with a high sensitivity to a nm-thick layer. Second, the previously-checked inelastic background analysis is combined with that of high resolution core-level spectra in the case of the source part of a high electron mobility transistor. The two analyses are complementary as they allow retrieving the elemental depth distribution and the chemical state, respectively. The result gives a complete picture of the elemental intermixing within the sample when it is annealed at various temperatures
Denne afhandling omhandler problemet med at probe dybt begravede grænseflader i multilags stacks, som bruges i teknologisk relevante devices, med en innovativ fotoemissions metode, der er baseret på Hard X-ray PhotoElectron Spectroscopy (HAXPES) og analyse af den uelastiske baggrund. I afhandlingen er en numerisk procedure blevet implementeret til at kvantificere forskellen mellem en HAXPES målt uelastisk baggrund og en modelleret baggrund, som svarer til en given dybdefordeling af atomerne. Metoden muliggør, med en halv-automatisk procedure, at bestemme dybdefordelingen i store dybder. Metoden er først blevet testet ved at studere et ultra-tyndt lag af lanthan, som er begravet i en dybde > 50 nm i en high-k-metal-gate prøve. Indflydelsen af parametrene der ingår i analysen er blevet studeret for at opklare den primære betydning af det anvendte uelastiske spredningstværsnit. Kombinationen af HAXPES med analyse af den uelastiske baggrund og brug af den nye numeriske metode giver en hidtil uset probe-dybde, som giver mulighed for at probe den atomare sammens ætning i op til 65 nm dybde under overfladen og med høj følsomhed af et kun nm tykt lag. Dernæst er den uelastiske baggrundsanalyse blevet kombineret med højopløst core-level spektroskopi for at studere de aktive dele i en høj-elektronmobilitets transistor. De to analyser er komplementære, idet de henholdsvis bestemmer den atomare fordeling og atomernes kemiske bindingstilstand. Resultatet giver et fuldstændigt billede af atomernes omfordeling i prøven når denne opvarmes til forskellige temperaturer
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Staerman, Guillaume. "Functional anomaly detection and robust estimation." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT021.

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L’engouement pour l’apprentissage automatique s’étend à presque tous les domaines comme l’énergie, la médecine ou la finance. L’omniprésence des capteurs met à disposition de plus en plus de données avec une granularité toujours plus fine. Une abondance de nouvelles applications telles que la surveillance d’infrastructures complexes comme les avions ou les réseaux d’énergie, ainsi que la disponibilité d’échantillons de données massives, potentiellement corrompues, ont mis la pression sur la communauté scientifique pour développer de nouvelles méthodes et algorithmes d’apprentissage automatique fiables. Le travail présenté dans cette thèse s’inscrit dans cette ligne de recherche et se concentre autour de deux axes : la détection non-supervisée d’anomalies fonctionnelles et l’apprentissage robuste, tant du point de vue pratique que théorique.La première partie de cette thèse est consacrée au développement d’algorithmes efficaces de détection d’anomalies dans le cadre fonctionnel. Plus précisément, nous introduisons Functional Isolation Forest (FIF), un algorithme basé sur le partitionnement aléatoire de l’espace fonctionnel de manière flexible afin d’isoler progressivement les fonctions les unes des autres. Nous proposons également une nouvelle notion de profondeur fonctionnelle basée sur l’aire de l’enveloppe convexe des courbes échantillonnées, capturant de manière naturelle les écarts graduels de centralité. Les problèmes d’estimation et de calcul sont abordés et diverses expériences numériques fournissent des preuves empiriques de la pertinence des approches proposées. Enfin, afin de fournir des recommandations pratiques, la performance des récentes techniques de détection d’anomalies fonctionnelles est évaluée sur deux ensembles de données réelles liés à la surveillance des hélicoptères en vol et à la spectrométrie des matériaux de construction.La deuxième partie est consacrée à la conception et à l’analyse de plusieurs approches statistiques, potentiellement robustes, mêlant la profondeur de données et les estimateurs robustes de la moyenne. La distance de Wasserstein est une métrique populaire résultant d’un coût de transport entre deux distributions de probabilité et permettant de mesurer la similitude de ces dernières. Bien que cette dernière ait montré des résultats prometteurs dans de nombreuses applications d’apprentissage automatique, elle souffre d’une grande sensibilité aux valeurs aberrantes. Nous étudions donc comment tirer partie des estimateurs de la médiane des moyennes (MoM) pour renforcer l’estimation de la distance de Wasserstein avec des garanties théoriques. Par la suite, nous introduisons une nouvelle fonction de profondeur statistique dénommée Affine-Invariante Integrated Rank-Weighted (AI-IRW). Au-delà de l’analyse théorique effectuée, des résultats numériques sont présentés, confirmant la pertinence de cette profondeur. Les sur-ensembles de niveau des profondeurs statistiques donnent lieu à une extension possible des fonctions quantiles aux espaces multivariés. Nous proposons une nouvelle mesure de similarité entre deux distributions de probabilité. Elle repose sur la moyenne de la distance de Hausdorff entre les régions quantiles, induites par les profondeur de données, de chaque distribution. Nous montrons qu’elle hérite des propriétés intéressantes des profondeurs de données telles que la robustesse ou l’interprétabilité. Tous les algorithmes développés dans cette thèse sont accessible en ligne
Enthusiasm for Machine Learning is spreading to nearly all fields such as transportation, energy, medicine, banking or insurance as the ubiquity of sensors through IoT makes more and more data at disposal with an ever finer granularity. The abundance of new applications for monitoring of complex infrastructures (e.g. aircrafts, energy networks) together with the availability of massive data samples has put pressure on the scientific community to develop new reliable Machine-Learning methods and algorithms. The work presented in this thesis focuses around two axes: unsupervised functional anomaly detection and robust learning, both from practical and theoretical perspectives.The first part of this dissertation is dedicated to the development of efficient functional anomaly detection approaches. More precisely, we introduce Functional Isolation Forest (FIF), an algorithm based on randomly splitting the functional space in a flexible manner in order to progressively isolate specific function types. Also, we propose the novel notion of functional depth based on the area of the convex hull of sampled curves, capturing gradual departures from centrality, even beyond the envelope of the data, in a natural fashion. Estimation and computational issues are addressed and various numerical experiments provide empirical evidence of the relevance of the approaches proposed. In order to provide recommendation guidance for practitioners, the performance of recent functional anomaly detection techniques is evaluated using two real-world data sets related to the monitoring of helicopters in flight and to the spectrometry of construction materials.The second part describes the design and analysis of several robust statistical approaches relying on robust mean estimation and statistical data depth. The Wasserstein distance is a popular metric between probability distributions based on optimal transport. Although the latter has shown promising results in many Machine Learning applications, it suffers from a high sensitivity to outliers. To that end, we investigate how to leverage Medians-of-Means (MoM) estimators to robustify the estimation of Wasserstein distance with provable guarantees. Thereafter, a new statistical depth function, the Affine-Invariant Integrated Rank-Weighted (AI-IRW) depth is introduced. Beyond the theoretical analysis carried out, numerical results are presented, providing strong empirical confirmation of the relevance of the depth function proposed. The upper-level sets of statistical depths—the depth-trimmed regions—give rise to a definition of multivariate quantiles. We propose a new discrepancy measure between probability distributions that relies on the average of the Hausdorff distance between the depth-based quantile regions w.r.t. each distribution and demonstrate that it benefits from attractive properties of data depths such as robustness or interpretability. All algorithms developed in this thesis are open-sourced and available online
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Gühmann, Martin [Verfasser], and Gáspár [Akademischer Betreuer] Jékely. "A functional characterization of a Go‑opsin and a ratio-chromatic depth gauge in Platynereis dumerilii / Martin Gühmann ; Betreuer: Gáspár Jékely." Tübingen : Universitätsbibliothek Tübingen, 2017. http://d-nb.info/1167247051/34.

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Dima, Danai. "Investigation of neural correlates of bottom-up and top-down processing with functional magnetic resonance imaging and electroencephalogram. Exemplified by the binocular depth inversion-paradigm." Hannover Bibliothek der Tierärztlichen Hochschule Hannover, 2009. http://d-nb.info/1000116735/34.

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Baldy, Ngayo Christine. "Enabling Conditions for Organizational Change Production by Cross Functional Teams in Multinational Corporations : An In-Depth Multi Cases Study of the Marketing, Sales and Distribution Transformation in Pharmaceutical Multinational Companies." Phd thesis, HEC, 2011. http://pastel.archives-ouvertes.fr/pastel-00708802.

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In today's ever-changing, competitive business environment, cross-functional teams are an increasingly popular mechanism to implement major business transformations within multinationals. Yet empirical data (Kotter, 1995; Beer, Eisenstat and Spector, 1990; Beer, 2000; Stvetena and Damian, 2006) support for the prevailing view that such teams, unless they are well managed, lead to failure. By drawing on an in depth comparative study of one Pilot Team and four teams dedicated to marketing, sales and distribution transformation in two pharmaceutical companies, we examine under which internal conditions cross-functional teams dedicated to organizational change enable or hinder organizational change within multinational corporations. The findings suggest that they succeed best through high level coupling activities with the remainder of the organization during the early and the later phases of a project, when practicing shared leadership and when organized as a semi-structure. This study contributes to the literature on organizational change in transcending the paradoxical relationships between stability and change, to the literature on the practice-based approach in making more explicit the relationships between practices and organizations and provides implications for managers involved in major business transformations in multinational corporations.
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Dima, Danai [Verfasser]. "Investigation of neural correlates of bottom-up and top-down processing with functional magnetic resonance imaging and electroencephalogram : exemplified by the binocular depth inversion-paradigm / Danai Dima." Hannover : Bibliothek der Tierärztlichen Hochschule Hannover, 2009. http://d-nb.info/1000116735/34.

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Books on the topic "Functional depth"

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Cathro, Jo. Functional and healthy foods: In-depth review of UK consumer attitudes. (Leatherhead): Market Intelligence Section, 1995.

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River, Laura-Marie. Functionally Ill: Revelations. Las Vegas, Nevada: Laura-Marie, 2019.

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United States. General Accounting Office. General Government Division. Commerce's trade functions. Washington, D.C. (P.O. Box 37050, Washington 20013): The Office, 1995.

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Montero, Rosa. The Delta Function. Lincoln: University of Nebraska Press, 1991.

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New York (State). Dept. of Environmental Conservation. Organization and function book. [Albany, N.Y.]: The Department, 1993.

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River, Laura-Marie. Functionally Ill: To Help Yourself & Others. Las Vegas, Nevada: Laura-Marie, 2019.

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River, Laura-Marie. Functionally Ill: More Vibrant Than Usual. Las Vegas, Nevada: Laura-Marie, 2020.

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A, Hitt Michael, and Marketing Science Institute, eds. The birth, life and death of a cross-functional new product design team. Cambridge, Mass: Marketing Science Institute, 1996.

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Wingquist, Carl F. Bit wear-flat temperature as a function of depth of cut and speed. Pittsburgh, Pa: U.S. Dept. of the Interior, Bureau of Mines, 1987.

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R, Maio Gregory, and Olson James M. 1953-, eds. Why we evaluate: Functions of attitudes. Mahwah, N.J: Lawrence Erlbaum, 2000.

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Book chapters on the topic "Functional depth"

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Nieto-Reyes, Alicia, and Heather Battey. "Statistical functional depth." In Contributions to Statistics, 197–202. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55846-2_26.

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Aravinth, Anto. "Monads in Depth." In Beginning Functional JavaScript, 125–40. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2656-8_9.

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Aravinth, Anto, and Srikanth Machiraju. "Monads in Depth." In Beginning Functional JavaScript, 181–203. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4087-8_9.

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Cuesta-Albertos, Juan, and Alicia Nieto-Reyes. "A Random Functional Depth." In Contributions to Statistics, 121–26. Heidelberg: Physica-Verlag HD, 2008. http://dx.doi.org/10.1007/978-3-7908-2062-1_20.

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Balzanella, Antonio, and Romano Elvira. "A Depth Function for Geostatistical Functional Data." In Studies in Classification, Data Analysis, and Knowledge Organization, 9–16. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17377-1_2.

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Lòpez-Pintado, Sara, and Ying Wei. "Depth for Sparse Functional Data." In Contributions to Statistics, 209–12. Heidelberg: Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2736-1_32.

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Loring, David W., Kimford J. Meador, and Gregory P. Lee. "Functional Hippocampal Assessment with Depth Electrodes." In The Neuropsychology of Epilepsy, 247–62. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-2350-9_12.

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Nieto-Reyes, Alicia. "On the Properties of Functional Depth." In Contributions to Statistics, 239–44. Heidelberg: Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2736-1_37.

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López-Pintado, Sara, and Juan Romo. "Depth-based classification for functional data." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 103–19. Providence, Rhode Island: American Mathematical Society, 2006. http://dx.doi.org/10.1090/dimacs/072/08.

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Nagy, Stanislav. "Depth in Infinite-dimensional Spaces." In Functional and High-Dimensional Statistics and Related Fields, 187–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47756-1_25.

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Conference papers on the topic "Functional depth"

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Mertzanidou, Thomy, Nick Calvert, David S. Tuch, Danail Stoyanov, and Simon R. Arridge. "Tomosynthesis method for depth resolution of beta emitters." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2019. http://dx.doi.org/10.1117/12.2511753.

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Kwon, Amy, and Ming Ouyang. "Clustering of Functional Data by Band Depth." In 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). ACM, 2016. http://dx.doi.org/10.4108/eai.3-12-2015.2262364.

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Ma, Yaqi, Fei Wu, Yishen Xu, and Yan Ye. "Design of bifocal metalens with extended depth of focus." In International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), edited by Yabo Fu and Kolla Bhanu Prakash. SPIE, 2023. http://dx.doi.org/10.1117/12.2686971.

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Tanifuji, Manabu, Wataru Suzuki, R. Uma Maheswari, and Kazushige Tsunoda. "Depth resolved imaging of neural activity by optical coherence tomography (functional OCT)." In Asia Communications and Photonics Conference and Exhibition. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/acp.2009.fu3.

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Contini, Davide, Lorenzo Spinelli, Alessandro Torricelli, Antonio Pifferi, and Rinaldo Cubeddu. "Novel method for depth-resolved brain functional imaging by time-domain NIRS." In European Conference on Biomedical Optics. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/ecbo.2007.6629_7.

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Contini, Davide, Lorenzo Spinelli, Alessandro Torricelli, Antonio Pifferi, and Rinaldo Cubeddu. "Novel method for depth-resolved brain functional imaging by time-domain NIRS." In European Conference on Biomedical Optics, edited by Brian W. Pogue and Rinaldo Cubeddu. SPIE, 2007. http://dx.doi.org/10.1117/12.728104.

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Bauer, Waldemar, Adrian Dudek, and Jerzy Baranowski. "Recognizing Commutator Motors Fault from Acoustics Signals Using Bayesian Functional Data Depth." In 2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2022. http://dx.doi.org/10.1109/mmar55195.2022.9874262.

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Cao, Wei, Yurong Li, and Qiurong Xie. "In-Depth Analysis of Functional Corticomuscular Coupling after Stroke Using UEFD-PTE." In 2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2023. http://dx.doi.org/10.1109/acait60137.2023.10528465.

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Tian, Fenghua, Haijing Niu, Sabin Khadka, Zi-Jing Lin, and Hanli Liu. "Algorithmic depth compensation improves transverse resolution and quantification in functional diffuse optical tomography." In SPIE BiOS, edited by Bruce J. Tromberg, Arjun G. Yodh, Mamoru Tamura, Eva M. Sevick-Muraca, and Robert R. Alfano. SPIE, 2011. http://dx.doi.org/10.1117/12.875835.

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Ernst, D., M. Peyer, D. Täschler, Patrick Steiner, A. Bossen, B. Považay, and Ch Meier. "Multi-channel near-infrared spectrometer for functional depth-resolved tissue examination and positioning applications." In SPIE BiOS, edited by Israel Gannot. SPIE, 2014. http://dx.doi.org/10.1117/12.2036381.

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Reports on the topic "Functional depth"

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Gonzales, Anthony Peter. CARICOM Report No. 1 (2002). Inter-American Development Bank, January 2002. http://dx.doi.org/10.18235/0008586.

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The overall purpose of the report is to appraise progress towards deeper integration among the member states of the Caribbean Community and Common Market (CARICOM). More specifically, and with particular reference to the goals of the CARICOM Single Market and Economy (CSME), it seeks to assess the depth of market integration and functional cooperation by examining the state of policy coordination and harmonization, the level of institutional development, and the degree of capacity sharing. The study also addresses CARICOM's pace of widening and its integration into the world economy, against the backdrop of trends in international trade negotiations.
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Levin, Ilan, John W. Scott, Moshe Lapidot, and Moshe Reuveni. Fine mapping, functional analysis and pyramiding of genes controlling begomovirus resistance in tomato. United States Department of Agriculture, November 2014. http://dx.doi.org/10.32747/2014.7594406.bard.

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Abstract. Tomato yellow leaf curl virus (TYLCV), a monopartitebegomovirus, is one of the most devastating viruses of cultivated tomatoes and poses increasing threat to tomato production worldwide. Because all accessions of the cultivated tomato are susceptible to these viruses, wild tomato species have become a valuable resource of resistance genes. QTL controlling resistance to TYLCV and other begomoviruses (Ty loci) were introgressed from several wild tomato species and mapped to the tomato genome. Additionally, a non-isogenic F₁diallel study demonstrated that several of these resistance sources may interact with each other, and in some cases generate hybrid plants displaying lower symptoms and higher fruit yield compared to their parental lines, while their respective resistance genes are not necessarily allelic. This suggests that pyramiding genes originating from different resistance sources can be effective in obtaining lines and cultivars which are highly resistant to begomoviruses. Molecular tools needed to test this hypothesis have been developed by our labs and can thus significantly improve our understanding of the mechanisms of begomovirus resistance and how to efficiently exploit them to develop wider and more durable resistance. Five non-allelic Ty loci with relatively major effects have been mapped to the tomato genome using molecular DNA markers, thereby establishing tools for efficient marker assisted selection, pyramiding of multiple genes, and map based gene cloning: Ty-1, Ty-2, Ty-3, Ty-4, and ty-5. This research focused on Ty-3 and Ty-4 due to their broad range of resistance to different begomoviruses, including ToMoV, and on ty-5 due to its exceptionally high level of resistance to TYLCV and other begomoviruses. Our aims were: (1) clone Ty-3, and fine map Ty-4 and Ty-5 genes, (2)introgress each gene into two backgroundsand develop semi isogenic lines harboring all possible combinations of the three genes while minimizing linkage-drag, (3) test the resulting lines, and F₁ hybrids made with them, for symptom severity and yield components, and (4) identify and functionally characterize candidate genes that map to chromosomal segments which harbor the resistance loci. During the course of this research we have: (1) found that the allelic Ty-1 and Ty-3 represent two alternative alleles of the gene coding DFDGD-RDRP; (2) found that ty-5is highly likely encoded by the messenger RNA surveillance factor PELOTA (validation is at progress with positive results); (3) continued the map-based cloning of Ty-4; (4) generated all possible gene combinations among Ty-1, Ty-3 and ty-5, including their F₁ counterparts, and tested them for TYLCV and ToMoV resistance; (5) found that the symptomless line TY172, carrying ty-5, also carries a novel allele of Ty-1 (termed Ty-1ⱽ). The main scientific and agricultural implications of this research are as follows: (1) We have developed recombination free DNA markers that will substantially facilitate the introgression of Ty-1, Ty-3 and ty-5 as well as their combinations; (2) We have identified the genes controlling TYLCV resistance at the Ty-1/Ty-3 and ty-5 loci, thus enabling an in-depth analyses of the mechanisms that facilitate begomovirus resistance; (3) Pyramiding of Ty resistance loci is highly effective in providing significantly higher TYLCV resistance.
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Lers, Amnon, and Pamela J. Green. LX Senescence-Induced Ribonuclease in Tomato: Function and Regulation. United States Department of Agriculture, September 2003. http://dx.doi.org/10.32747/2003.7586455.bard.

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Natural leaf senescence, which occurs even when growth conditions are near optimal, has a negative influence on yield. Postharvest induced senescence contributes to the losses of quality in flowers, foliage, and vegetables. Strategies designed to control the senescence process in crop plants could therefore have great applied significance. However, the successful design of such strategies requires a better insight into the senescence machinery and control in higher plants. A main feature of senescence is the hydrolysis of macromolecules by hydrolases of various types such as ribonucleases (RNases) and proteases. Previously we had identified and characterized the tomato LX RNase gene demonstrating its transcript to be highly and specifically induced during senescence. This reported study was focused on LX but also had broadened our research to other senescence-associated nucleic acids degrading enzymes to learn about their function and the regulation of their encoding genes. Beside tomato we used parsley and Arabidopsis for the study of: the bi-functional nuclease which has a role in senescence. The study of different senescence- associated nucleases in few plant systems will allow a more general view on function and regulation of these enzymes in senescence. The specific original proposed objectives included: 1. Study the consequences of alterations in LX RNase level on tomato leaf senescence and general development; 2. Analyze stimuli which may participate in senescence-specific activation of the LX gene; 3. Clone the senescence-associated BFNI nuclease gene homologue from tomato. 4. Further characterize the sequences required for senescence-specific gene expression. Homozygous transgenic plants in which LX gene was either inhibited or over-expressed were generated. In both of these LX mutated plants no major phenotypic consequences were observed, which may suggests that LX is not essential for plant growth under optimal growth conditions. Lack of any abnormalities in the LX over-expressing lines suggests that special system exist to allow function of the RNase only when needed. Detailed analyses of growth under stress and consequences to RNA metabolism are underway. We have analyzed LX expression on the protein level demonstrating that it is involved also in petal senescing. Our results suggest that LX is responding to complex regulation involving developmental, organ dependent factors and responds differently to hormonal or environmental stimuli in the different plant organs. The cloned 1.4 kb promoter was cloned and its analysis revealed that probably not all required elements for senescence induction are included. Biochemical analysis of senescence-associated be-functional nucleases in the different plants, tomato, parsley and Arabidopsis, suggests they belong to a sub-class within the type I plant nucleases. The parsley PcNUC1/2 nuclease protein was purified from senescing leaves its and activity was studied in vitro revealing endo-, double strand, nucleolytic activity and exo-nucleolytic activity. Its encoding gene was cloned and found to be induced on the mRNA level. The promoter of the related Arabidopsis BFNI nuclease was shown in both tomato and Arabidopsis to be able and direct senescence-specific expression suggesting that, at least part, the gene is regulated on the transcriptional level and that the mechanism for this senescence-specific regulation is conserved between different plants. Few plants in which the BFNI gene is mutated were identified which are subjected now to detailed analysis. Our results suggest that the senescence-related nucleic acid degrading enzymes share similarities in both function and regulation between different plants and possibly have important functions in processes un-related to senescence. Still, the function of these enzymes, at least in some cases is not essential to plant development under optimal growth conditions. We are now at the stage which permits in depth investigation of the specific functions and mode of molecular regulation of senescence-associated nucleases with the aid of the research tools developed. The isolated senescence-specific promoter, shown to be active in heterologous plant system, could be utilized in agricultural-related biotechnological applications for retardation of senescence.
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Cao, Siyang, Yihao Wei, Huihui Xu, Jian Weng, Tiantian Qi, Fei Yu, Su Liu, Ao Xiong, Peng Liu, and Hui Zeng. Crosstalk between Ferroptosis and Chondrocytes in Osteoarthritis: A Systematic Review of in-vivo and in-vitro Studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2023. http://dx.doi.org/10.37766/inplasy2023.3.0044.

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Review question / Objective: For the sake of better apprehending the nexus between ferroptosis and chondrocytes in osteoarthritis (OA), proffering novel insights and opening-up new orientation for in-depth research in both pre-clinical and clinical settings, it is warranted to initiate one rigorous and robust systematic review (SR) based upon up-to-date in-vivo and in-vitro research advances on this topic. To the best our knowledge, no SRs concerning ferroptosis and chondrocytes in OA have been published thus far. Condition being studied: Osteoarthritis (OA) is the most common form of arthritis, which menaces 7% of the human population globally. With the aged tendency of population and higher rates of obesity, the incidence of OA is anticipated to proliferate, which will entail a mounting impact and major challenges for global health care and each country’s public health systems unavoidably. In virtue of the onset of OA is mighty knotty, its etiology and underlying molecular mechanisms have not been expressly expounded. However, the salient role that cartilage degeneration acts in the progression of OA has been widely acknowledged. Chondrocytes are consequential for the safeguard of cartilage homeostasis and the functional integrity of the articular cartilage. Once the homeostatic equilibrium of the extracellular matrix (ECM) synthesis and degradation is smashed, OA comes up.
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Abdolmaleki, Kourosh. PR-453-134504-R05 On Bottom Stability Upgrade - MS III. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2021. http://dx.doi.org/10.55274/r0012195.

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The extension of the PRCI on bottom stability (OBS) software's applicability to shallow water is assessed. Version 3 of the software has a limitation on water depth; only depths greater than 6 m (20 ft) are accepted. This limitation is likely related to the increasing inaccuracy of linear wave theory as the wave height to water depth ratio increases, as well as caution about breaking wave limits. The usage of linear wave theory inside the software can be categorized into two different types: � Linear regular waves - these are used in the Level 1 module to determine the motions of the water particles as part of the calculation of the hydrodynamic forces; � Linear irregular waves - these are present in the Level 2, Level 3 and ASM modules, where the surface wave energy spectra are converted to the near-seabed wave velocities through the use of a transfer function based on linear wave theory. It is noted that for irregular waves, all wave spectral formulations currently implemented in the OBS software, do not account for water depth. This document addresses the finite water depth and shallow water restrictions and presents a discussion and investigation in two categories: 1. The direct use of the linear theory to describe waves in the Level 1 calculation module; and 2. The direct use of linear spectral transfer functions in the Level 2, Level 3, and ASM modules. The scope of this activity is to prepare a solution for consideration by PRCI and implement the agreed course of action. The solution proposed will be based on the continued use of the linear wave theory. It is noted that higher order wave theories would be more appropriate for shallow water conditions, but due to the currently established methodology in the software, implementation of higher order wave theory is not included within this scope.
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Songyang, Zhou. Genetic and Functional Studies of Genes that Regulate DNA-Damage-Induced Cell Death. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada406809.

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Songyang, Zhou. Genetic and Functional Studies of Genes That Regulate DNA-Damage-Induced Cell Death. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada446751.

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Songyang, Zhou. Genetic and Functional Studies of Genes That Regulate DNA-Damage-Induced Cell Death. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada417994.

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Yang, X., T. A. Buscheck, K. Mansoor, and S. A. Carroll. Magnetotelluric Detection Thresholds as a Function of Leakage Plume Depth, TDS and Volume. Office of Scientific and Technical Information (OSTI), April 2017. http://dx.doi.org/10.2172/1357405.

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Yang, Ying, Xiangting Huang, Yuge Wang, and Lan Chen. The impact of Triglyceride-Glucose Index on Ischemic Stroke: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0145.

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Review question / Objective: This Systematic review, describes two issues. 1. in the general population, a high TyG index predicts the risk of ischaemic stroke (IS) P: the general population without ischaemic stroke. I: higher TyG index. C: lower TyG index. O: first ischaemic stroke occurrence. S: Observational study. 2.In the ischaemic stroke(IS) population, a high tyg index predicts poor prognostic outcome. P: ischaemic stroke patient population. I: higher TyG index. C: lower TyG index O: death, stroke recurrence, poor functional outcome, deterioration in neurological function. S: Observational study. Information sources: We searched the Cochrane Library, Embase, MEDLINE, Web of Science, PubMed, and other relevant English databases and related websites. In addition, we reviewed the references for inclusion for literature that we may not have retrieved.
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