Готові списки джерел за темами / Quantification des interactions

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Добірка наукової літератури з теми "Quantification des interactions"

Автор: Grafiati
Опубліковано: 22 червня 2022

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Статті в журналах з теми "Quantification des interactions"

1

Pérez, R. Navarro, J. E. Amaro, and E. Ruiz Arriola. "Uncertainty quantification of effective nuclear interactions." International Journal of Modern Physics E 25, no. 05 (May 2016): 1641009. http://dx.doi.org/10.1142/s0218301316410093.

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We give a brief review on the development of phenomenological NN interactions and the corresponding quantification of statistical uncertainties. We look into the uncertainty of effective interactions broadly used in mean field calculations through the Skyrme parameters and effective field theory counterterms by estimating both statistical and systematic uncertainties stemming from the NN interaction. We also comment on the role played by different fitting strategies on the light of recent developments.
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2

Muniategui, Ander, Rubén Nogales-Cadenas, Miguél Vázquez, Xabier L. Aranguren, Xabier Agirre, Aernout Luttun, Felipe Prosper, Alberto Pascual-Montano, and Angel Rubio. "Quantification of miRNA-mRNA Interactions." PLoS ONE 7, no. 2 (February 14, 2012): e30766. http://dx.doi.org/10.1371/journal.pone.0030766.

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3

Gonthier, Jérôme F., and Clémence Corminboeuf. "Quantification and Analysis of Intramolecular Interactions." CHIMIA International Journal for Chemistry 68, no. 4 (April 30, 2014): 221–26. http://dx.doi.org/10.2533/chimia.2014.221.

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4

Larijani, Banafshé, James Miles, Stephen G. Ward, and Peter J. Parker. "Quantification of biomarker functionality predicts patient outcomes." British Journal of Cancer 124, no. 10 (March 15, 2021): 1618–20. http://dx.doi.org/10.1038/s41416-021-01291-3.

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SummaryImplementation of a quantitative molecular imaging method (iFRET), which determines receptor–ligand interactions, has led to the finding that patients with a low extent of PD-1/PD-L1 interaction in metastatic NSCLC, and malignant melanoma, display significantly worsened overall survival compared to those with a high level of interaction.
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5

Wolfe, Aaron J., Wei Si, Zhengqi Zhang, Adam R. Blanden, Yi-Ching Hsueh, Jack F. Gugel, Bach Pham, et al. "Quantification of Membrane Protein-Detergent Complex Interactions." Journal of Physical Chemistry B 121, no. 44 (October 31, 2017): 10228–41. http://dx.doi.org/10.1021/acs.jpcb.7b08045.

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6

Roy, Dipankar, and Raghavan B. Sunoj. "Quantification of Intramolecular Nonbonding Interactions in Organochalcogens." Journal of Physical Chemistry A 110, no. 17 (May 2006): 5942–47. http://dx.doi.org/10.1021/jp060218t.

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7

Jucker, Barbara A., Alexander J. B. Zehnder, and Hauke Harms. "Quantification of Polymer Interactions in Bacterial Adhesion." Environmental Science & Technology 32, no. 19 (October 1998): 2909–15. http://dx.doi.org/10.1021/es980211s.

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8

Schakenraad, J. M., J. H. Kuit, J. Arends, H. J. Busscher, J. Feijen, and Ch R. H. Wildevuur. "In vivo quantification of cell-polymer interactions." Biomaterials 8, no. 3 (May 1987): 207–10. http://dx.doi.org/10.1016/0142-9612(87)90065-2.

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9

Lazareno, Sebastian. "QUANTIFICATION OF RECEPTOR INTERACTIONS USING BINDING METHODS." Journal of Receptors and Signal Transduction 21, no. 2-3 (January 2001): 139–65. http://dx.doi.org/10.1081/rrs-100107426.

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10

Schneider, Hans-Jörg. "Quantification of noncovalent interactions – promises and problems." New Journal of Chemistry 43, no. 39 (2019): 15498–512. http://dx.doi.org/10.1039/c9nj03325d.

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Анотація:
Quantification of noncovalent interactions is the key for the understanding of binding mechanisms, of biological systems, for the design of drugs, their delivery and for the design of receptors for separations, sensors, actuators, or smart materials.
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Більше джерел

Дисертації з теми "Quantification des interactions"

1

Varley, Lisa. "Intermolecular interactions : quantification and applications." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/2739/.

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Анотація:
This thesis deals with the nature of fundamental intermolecular interactions and the ways in which they can be exploited using supramolecular chemistry. Three separate studies have been undertaken in order to explore and quantify different types of electrostatic interactions. Chapter 2 describes an investigation into the nature of hydrogen bonding interactions between charged species and well-defined neutral hosts, in order to quantify their hydrogen bonding strength on an already established scale. The importance of metal-ligand interactions in self-assembly is documented in Chapter 3, where the synthesis of functional supramolecules is described and their self-assembly in the presence of a bidentate ligand is investigated. Finally, Chapter 4 describes the use of calixarene-porphyrin conjugates in gas-sensing devices, showing how a handle on the design and synthesis of supramolecules and an understanding of their basic interactions can provide a useful application. The detailed background literature relating to the project will be described as an introduction to each chapter; this chapter provides a general introduction to the field of supramolecular chemistry and an overview of key advances that have been made since its inception.
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2

Usman, Jauhr. "Quantification of affinity mediated cell/surface interactions." Thesis, University of Bath, 1997. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362307.

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3

Merk, Daniel. "Uncertainties in the Quantification of Aerosol-Cloud Interactions." Doctoral thesis, Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-225523.

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Aerosole dienen als Kondensationskerne (CCN) und verändern die Wolkentropfenkonzentration (Nd) und weitere Wolkeneigenschaften. Nd ist daher ein Schlüsselparameter von Aerosol-Wolken-Wechselwirkungen (ACI). ACI sind bezüglich ihrer Klimarelevanz nur unzureichend bestimmt. ACI wurden auf verschiedenen Skalen und mit unterschiedlichen Methoden von unterschiedlichen Perspektiven aus untersucht, was zu einer großen Variabilität von ACI Metriken in der Literatur führt. Für eine genauere Quantifizierung von ACI, wurden in dieser Arbeit damit verbundene, entscheidende Unsicherheiten diskutiert, u.a. das Einmischen trockener Luft, Unsicherheiten von Retrieval-Methoden und die Konsistenz von Schlüsselparametern auf verschiedenen Skalen. Um Nd und weitere Wolkeneigenschaften aus passiven Satellitenbeobachtungen für Flüssigwasserwolken abzuleiten, wird oft das adiabatische Modell herangezogen. Es wurde untersucht, inwiefern dieses Modell reale Bedingungen wiedergibt. Es wurde gezeigt, dass Wolken typischerweise subadiabatisch sind, mit stark reduziertem Flüssigwassergehalt nahe der Wolkenoberkante. Der Einmischprozess variiert zeitlich stark und erschwert die Quantizierung von ACI. Für unterschiedliche Cloudnet-Stationen variieren die Medianwerte des subadiabatischen Faktors von 0.35+/-0.12 bis 0.48+/-0.22. Dieser hängt stark von der geometrischen Wolkendicke ab, wobei dickere Wolken subadiabatischer sind. Die Ableitung von Nd aus bodenbasierten Radar-Radiometer-Beobachtungen ist sehr sensitiv gegenüber a-priori Annahmen. Um zusätzliche Beobachtungen und Unsicherheiten berücksichtigen zu können, wurde ein neuartiges Optimal Estimation (OE) Retrieval entwickelt und mittels synthetischer Wolkenprofile evaluiert. Mittels einer Sensitivitätsstudie konnte die Verbesserung der Retrieval-Genauigkeit für die OE Methode gezeigt werden, wenn die Beobachtungen der optischen Dicke mit berücksichtigt werden. Die Annahme einer typischen Breite der Tropfengrößenverteilung ist dabei eine der größten Unsicherheiten von Nd (Unsicherheit für die OE Methode etwa 150%, für die Radar-Radiometer-Methode etwa 200%). Desweiteren wurden aus unterschiedlichen Perspektiven abgeleitete wolkenmikrophysikalische Größen hinsichtlich ihrer Konsistenz untersucht. Beim Vergleich von Nd und des Effektivradius (re) vom bodengebundenen Retrieval mit in-situ Beobachtungen für einen Falltag wurde eine gute Übereinstimmung gefunden. Beim Vergleich der von SEVIRI und Bodenstationen abgeleiteten Wolkeneigenschaften haben sich mittlere quadratische Abweichungen des Flüssigwasserpfads und der optischen Dicke von jeweils 65 gm2 und 14 ohne signifikanten Bias gezeigt. Damit zeigt sich SEVIRI für großskalige, statistische ACI-Untersuchungen repräsentativ zur Bodenperspektive. Für individuelle Falltage traten jedoch teils größere Unterschiede auf, welche durch Inhomogenitäten und Auflösungseffekte erklärt werden können. Mit SEVIRI Beobachtungen und aus der MACC Reanalyse abgeleiteten CCN Konzentrationen wurde eine Quantifizierung von ACI für das Jahr 2012 durchgeführt. Dabei wurde für Europa ein deutlicher, mikrophysikalischer Effekt gefunden, d.h. eine Abnahme von re und eine Zunahme von Nd mit zunehmender CCN Konzentration. Im Gegensatz dazu wurde für die Wolkenalbedo kein eindeutiger Anstieg mit der CCN-Konzentration gefunden. Verwendet man die Aerosol-optische Dicke (AOD) anstelle der CCN-Konzentration, sind die Werte der ACI Metrik nur halb so groß. Dieses Ergebnis deutet darauf hin, dass die AOD kein optimaler CCN-Proxy ist.
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4

Pajor, Radoslaw. "Quantification of short term interactions between soil and fungi." Thesis, Abertay University, 2012. https://rke.abertay.ac.uk/en/studentTheses/1fdaf041-ca50-4c70-ba7a-1859e07a11d5.

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This thesis evaluates protocols to visualise and quantify short-term interactions between soil-borne fungi and soil. The quantification captures interactions between the ubiquitous soil saprotroph and plant pathogen Rhizoctonia solani, and a sandy loam soil, over a period of five days. The literature review provides evidence of mutual interactions between soil and fungi and highlights the lack of understanding about processes occurring at short time scales, which are crucial for modelling the complexity of soil environment. The first part of the thesis merges X-ray microtomography, image analysis and laboratory measurements to investigate the impact of short term incubation of fungi on soil water retention and soil structure at macro (whole microcosm) and micro (individual aggregate) scales. Part Two quantifies the effect of experimental variables such as aggregate-size and soil bulk-density on key descriptors of the soil pore network. Finally, a fungal growth model was used to quantify to what extent soil structure mediated by bulk-density affected fungal growth dynamics. The experimental work showed that despite high fungal biomass content there was no effect of fungal colonisation on soil structure and hydraulic properties after short-term incubation. However, it was possible to alter the geometry of soil pore space and thus influence fungal growth dynamics. This was achieved by manipulating the initial conditions of re-packed soil microcosms through variation of aggregate size and bulk density. The experimental work showed that despite high fungal biomass content there was no effect of fungal colonisation on soil structure and hydraulic properties after short-term incubation. However, it was possible to alter the geometry of soil pore space and thus influence fungal growth dynamics. This was achieved by manipulating the initial conditions of re-packed soil microcosms through variation of aggregate size and bulk density.
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5

Prada, Jimenez de Cisneros Joaquin M. "Quantification of host-parasite interactions : sheep and their nematodes." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/6156/.

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The objective of this dissertation is to use modelling and statistical approaches to expand our knowledge of the immune responses against gastrointestinal nematode infections, to assess the impact of nematode infection, and to use our improved knowledge to examine novel means of selective breeding in farm animals (sheep) as a control strategy. To expand the knowledge of the host immune response against infection, Chapter 2 of this dissertation focuses on immunoglobulin A (IgA), an antibody that binds nematode molecules, and its transfer through the body from the abomasal mucus (i.e. site of infection, where it is produced) to the blood plasma, where it is typically measured. These findings have been published in Parasitology (Prada Jimenez de Cisneros et al., 2014a). The implications of low levels of infection in adult milking ewes, which are more resistant than lambs, were also studied. A relationship is generated between infection levels using parasitological data and production data. There were however limitations in the dataset, which are discussed at the end of Chapter 3. Parasite resistance in adults sheep at low levels of infection was also studied, especially since the most common parasitological marker of disease is the faecal egg count (i.e. number of nematode eggs in the animals faeces) which is subject to substantial measurement error, among other limitations. Chapter 4 analyses a dataset of adult animals with low infection levels using a zero inflated binomial model (ZINB) and extends the model by including other evidence of parasite resistance to discriminate between exposed and unexposed animals. To examine selective breeding, an individual-based data-driven immunogenetically explicit mathematical model was developed. One application of this model is to compare the efficacy of two selective breeding schemes, each based on a different marker for disease, namely faecal egg counts and plasma IgA. This work has been published in Journal of the Royal Society Interface (Prada Jimenez de Cisneros et al., 2014b). The model can be extended to create a distribution for the variation in larval intake that best fits the field data. This allows the partitioning of the variation in adult worm burden into different components. The purpose is to quantify the contribution of the immune response and larval intake to determine which of the two accounts for more of the variation in the level of infection. The model can be also extended to explore selection schemes in the two components of the immune response (i.e. namely the IgA mediated and IgE mediated immune response) and estimate animal size at the end of the grazing season.
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6

Lowden, Ben D. "A methodology for the quantification of outcrop permeability heterogeneities through probe permeametry." Thesis, Imperial College London, 1993. http://hdl.handle.net/10044/1/7588.

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7

Baksay, Sandra. "Etude des réseaux de pollinisation par métagénomique environnementale." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30322.

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Анотація:
Le déclin mondial des pollinisateurs et des plantes souligne la nécessité de mieux comprendre les caractéristiques structurelles et fonctionnelles des réseaux de pollinisation. Des études ont montré qu'il est possible de détecter les interactions plantes-pollinisateurs par l'identification du pollen dans les charges polliniques des insectes à l'aide du métabarcoding d'ADN et d'avoir ainsi une vision plus complète des interactions tant à l'échelle des espèces (plantes et pollinisateurs) qu'à celle des individus. Cependant, le potentiel de cette technique pour quantifier les interactions est toujours discuté. Nous avons abordé cette question au cours de deux études : expérimentation en laboratoire et dans une prairie en milieux naturels. Nous avons montré des relations hautement significatives entre le nombre de séquences d'ADN d'une espèce de plante et (1) le nombre de ses grains de pollen dans une solution expérimentale (abondances des pollens connues) ou dans la charge pollinique d'insectes qui ont butinée librement dans la prairie ou (2) le nombre de visites qu'elle a reçu. Néanmoins, nous avons identifié des biais méthodologiques et biologiques susceptibles de réduire la qualité de la relation et donc de la quantification des interactions, certains biais pouvant être réduits. Ainsi nous avons montré qu'une amplification à 30-35 cycles PCR permet une bonne quantification pour une quantité de pollen comparable à celle trouvée dans les charges polliniques des insectes. Dans une troisième étude, nous avons utilisé le metabarcoding pour étudier la réponse des pollinisateurs et des réseaux plante-pollinisateur à un changement d'abondance d'une plante à floraison massive, Rhododendron ferrugineum, espèce emblématique de l'étage subalpin des Pyrénées et des Alpes localement très abondante. Nous avons montré que (1) bien que cette espèce soit attractive elle ne monopolise jamais les pollinisateurs, lesquels continuent à visiter les espèces rares de la communauté même dans la lande la plus dense (2) les pollinisateurs tendent à être plus spécialisés, et la spécialisation des réseaux tend à augmenter avec la diminution des ressources florales bien que tous les groupes d'insectes ne répondent pas de la même manière (3) la plupart des populations de pollinisateurs sont généralistes mais focalisent majoritairement leur activité sur un nombre limité d'espèces de plantes et les individus sont hautement et beaucoup plus spécialisés que leur population. Ces résultats permettent de mieux comprendre l'efficacité du service de pollinisation se déroulant au sein de réseaux très généralisés. En résumé ces travaux ont montré que le métabarcoding permet : (1) d'identifier correctement les plantes à partir des pollens présents dans la charge polliniques des pollinisateurs et ainsi de mieux connaitre le régime alimentaire et le comportement des individus, (2) de quantifier assez précisément les interactions plantes-pollinisateurs y compris à l'échelle des individus et ainsi (3) de construire des réseaux de pollinisation plus réalistes qu'avec les méthodes traditionnelles. Nous démontrons aussi le potentiel de la méthode pour mieux comprendre la structure et le fonctionnement des réseaux de pollinisation et leurs réponses aux changements globaux
The global decline of plants and pollinators highlights the need to better understand the structural and functional characteristics of pollination networks. Studies have shown that it is possible to detect plant-pollinator interactions by identifying pollen in insect pollen loads using DNA metabarcoding and thus gain a more complete picture of interactions at both the species (plant and pollinator) and individual levels. However, the potential of this technique to quantify interactions is still under discussion. We have addressed this issue in two experiments in the laboratory and in the wild, in a meadow, under natural conditions. We found highly significant relationships between the number of DNA sequences of a plant species and (1) the number of its pollen grains in an experimental solution with known pollen abundances or in the pollen load of insects that forage freely in the meadow or (2) the number of visits it received. We identified methodological and biological biases that may reduce the quality of the relationship and thus of the quantification of the interactions, some of which can be reduced. However, amplification at 30-35 PCR cycles allows a good quantification for a quantity of pollen comparable to that found in insect pollen loads. In a third experiment, we used metabarcoding to study the response of pollinators and plant-pollinator networks to abundance variations of a massively flowering plant, Rhododendron ferrugineum, an emblematic species of the subalpine stage of the Pyrenees and the Alps that is locally very abundant. We showed that (1) although this species is attractive it never monopolizes pollinators, which continue to visit the community's rare species even in the densest heathland, (2) pollinators tend to be more specialized, and network specialization tends to increase with the decrease in floral resources although not all insect groups respond in the same way, and (3) most populations of pollinators are generalist but mostly focus their activity on a limited number of plant species and individuals are highly specialized. These results allow a better understanding of pollination service efficiency within very generalized networks. In summary, this work has shown that metabarcoding allows: (1) to correctly identify plants from pollen present in pollinators pollen load and thus to better understand the diet and behaviour of individuals, (2) to quantify plant-pollinator interactions fairly precisely, including at the individual level, and thus (3) to build more realistic pollination networks than with traditional methods. We also showed the potential of this method to better understand the structure and functioning of pollination networks and their responses to global changes
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8

Seog, Joonil 1969. "Molecular mechanics of cartilage : quantification of GAG electrostatic interactions via high-resolution force spectroscopy." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/17641.

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Анотація:
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2003.
Includes bibliographical references (leaves 121-135).
Intermolecular repulsion forces between negatively charged glycosaminoglycan (CS-GAG) macromolecules are a major determinant of cartilage biomechanical properties. It is thought that the electrostatic component of the total intermolecular interaction is responsible for 50-75% of the equilibrium elastic modulus of cartilage in compression, while other forces (e.g., steric, hydration, van der Waals, etc.) may also play a role. To investigate these forces, radiolabeled CS-GAG polymer chains were chemically end-grafted to a planar surface to form model biomimetic polyelectrolyte "brush" layers whose environment was varied to mimic physiological conditions. The total intersurface force (<[or equal to] nN) between the CS-GAG brushes and chemically modified probe tips (SO₃⁻ and OH) was measured as a function of tip-substrate separation distance in aqueous solution using the technique of high-resolution force spectroscopy (HRFS). These experiments showed long-range, nonlinear, purely repulsive forces that decreased in magnitude and range with increasing ionic strength and decreasing pH. In order to estimate the contribution of the electrostatic component to the total intersurface force, the data were compared to a theoretical model of electrical double layer repulsion based on the Poisson-Boltzmann formulation. The CS-GAG brush layer was approximated as either a flat surface charge density or a smoothed volume of known fixed charge density and the probe tip was modeled as a smooth hemisphere of constant surface charge density.
(cont.) To further closely mimic physiological condition of the cartilage, the CS-GAG molecules were successfully attached to the AFM probe tip using electric field. The CS-GAG modified tip was characterized by measuring force at various environments and its parking density was also estimated using newly developed molecular level model. The measured force between CS-GAG modified tip and CS-GAG modified substrate showed a long-range interaction that significantly dependent on the ionic strength and pH, indicating the significant role of Coulombic interaction between CS-GAG layers. The equilibrium brush height measured using ellipsometry showed that CS-GAG behaves as an annealed polyelectrolyte that reached its maximum brush height around 0.1 M salt concentration. The equilibrium brush height was compared with the onset of the force increase to obtain further insight on the CS-GAG brush behavior during the force measurement.
by Joonil Seog.
Sc.D.
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9

Padilla-Parra, Sergi. "Methodological development for the quantification of protein interactions in living cells using fluorescence microscopy." Paris 7, 2009. http://www.theses.fr/2009PA077096.

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Анотація:
Cette thèse présente plusieurs alternatives au problème de quantification des interactions en cellules vivantes en utilisant des techniques comme la microscopie de durée de vie pour détecter le transfert d'énergie de type Förster (FRET), la spectroscopie de corrélation de fluorescence (FCS) ou le recouvrement de la fluorescence après le photo-blanchiment (FRAP) couplé au FLIM. Une nouvelle méthodologie pour l'analyse de FRET-FLIM basé sur l'étude de la fraction de protéine en interaction (fɒ) est introduite. Nous démontrons qu'il est possible de récupérer la quantité minimale de protéine en interaction (mfɒ) à partir de la minimisation mathématique de l'expression de fo. Mfo est particulièrement bien adapté pour l'acquisition FRET-FLIM rapide parce qu'il s'effectue sans processus d'ajustement. Nous proposons aussi un couple de protéines fluorescentes pour le FRET: mTFPl et « Yellow Fluorescent Protein » (YFP). Ce couple donne des valeurs de fɒ les plus élevées en comparaison avec les plus utilisées (comme la Green Fluorescent Protein (GFP) avec un accepteur rouge (mCherry par exemple)). Toutes ces approches méthodologiques ont été employées pour: i) la détection de l'interaction entre Amphiphisin 1 et protéines comme la Dynamin 2 ou N-WASp, ii) l'activation de Racl lié au processus d'infection par Shigella et iii) l'acétylation de histones H4. Enfin, nous proposons différentes pistes pour optimiser nos méthodes et instruments. Les perspectives futures, basées par exemple, sur la combinaison de Total Internal Reflection avec une détection CDD couplée à un intensificateur à porte temporel, ou les implications sur les interactions protéiques sont certaines d'entre elles
This thesis presents different alternatives to the problem of detecting and quantifying protein interactions in vivo using different approaches like: i) Fluorescence Lifetime Imaging Microscopy (FLIM) applied to detect Fluorescence Resonance Energy Transfer (FRET), ii) Fluorescence Lifetime Correlation Spectroscopy (FCS), or iii) Fluorescence Recovery After Photobleaching (FRAP) coupled to-FLIM. A new methodological approach to analyze FRET-FLIM based on the study of the fraction of interacting donor (fɒ) is also presented. We introduce the new concept of a minimal fraction of donor molecules involved in FRET (mfɒ), coming from the mathematical minimization of fɒ. We find particular advantage in the use of mfɒ because it can be obtained without fitting procedures and is derived directly from FLIM data. We also propose a new FRET pair for quantitative analysis: mTFPl and Yellow Fluorescent Protein (YFP). This couple gives the highest fɒ values compared to the most commonly used Green Fluorescent Protein combined with a Red Acceptor (e. G. GFP-mCherry). We apply these new methodological developments to different biological examples: i) interaction between Amphiphysin 1 with N-WASp, ii) Rac activation and histone H4 acetylation. Finally we propose some interesting techniques to improve our results and the detection of protein interactions. The use of more powerful excitation sources, the combination of Total Internal Reflection Microscopy with Time-Gated FLIM using a continuum laser or the role of Super Resolution for protein interactions are some of them
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10

Chapalain, Marion. "Dynamique des matières en suspension en mer côtière : caractérisation, quantification et interactions sédiments/matière organique." Thesis, Brest, 2019. http://www.theses.fr/2019BRES0010/document.

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La connaissance de la dynamique des matières en suspension (MES) et des turbidités en milieu côtier est un élément clé pour comprendre les écosystèmes marins. Les processus de floculation/défloculation représentent des mécanismes essentiels contrôlant la dynamique des caractéristiques physiques des MES et, par conséquent, leur devenir dans l’environnement. Cette thèse a pour objectif de mieux comprendre la caractérisation des MES et leur variabilité de l’échelle tidale à l’échelle annuelle en mer côtière, en réponse aux différents forçages hydrodynamiques, hydrologiques et biologiques ayant lieu à l’interface entre estuaire et baie. À cette fin, des capteurs optiques et acoustiques ont été déployés in situ, lors de 6 campagnes en mer réalisées en 2016, en vue de caractériser et de quantifier les MES dans la colonne d’eau, à la sortie de l’embouchure de l’estuaire de Seine (France). Une analyse critique des mesures granulométriques issues du LISST-100X est proposée. Un travail de quantification des incertitudes de mesure associées à l’estimation de la concentration en MES a mis en avant le risqué lié à un rinçage insuffisant des filtres et a conduit à définir une masse minimum à filtrer, de l'ordre de 10 mg, quelle que soit la concentration. Ce travail a notamment permis de proposer une méthode d’estimation d’un volume optimal de filtration basée sur une mesure préalable de turbidité de référence. Les mesures à haute fréquence ont montré que la dynamique des caractéristiques physiques des MES en termes de concentration et de taille médiane sont contrôlées par le cycle advection-floculation-sédimentation-remise en suspension. Ces résultats ont permis de hiérarchiser les paramètres de contrôle des processus de floculation. La turbulence a été identifiée comme le principal paramètre de contrôle à l’échelle tidale et semi-lunaire, la taille médiane maximale des flocs étant inversement corrélée à l’intensité des courants. À l’échelle saisonnière, la variation des caractéristiques des MES (taille, densité, vitesse de chute) est liée à la variabilité du contenu en matière organique (MO), avec une floculation favorisée quand le taux de MO particulaire augmente. Ces flocs plus grands et moins denses sont également plus résistants à la fragmentation induite par cisaillement turbulent. Ces travaux ont également permis de discuter le concept de structuration fractale des flocs.La dynamique de la dimension fractale, déterminée en combinant des données in situ de concentration en MES et de distribution en classe de taille, peut traduire des variations de composition des MES, mais peut aussi résulter d'incertitudes de mesure associées aux instruments. Ces dernières sont discutées dans cette thèse. La variabilité saisonnière des caractéristiques des MES est plus prononcée au large que dans la zone sous influence de l’estuaire de Seine. À partir des observations ponctuelles en Baie de Seine et d’une série de mesure long terme dans la zone côtière belge acquise par le laboratoire RBINS, les méthodes acoustiques et optiques sont combinées. Ces dernières ont mis en avant une augmentation de la rétrodiffusion acoustique lorsque la densité moyenne des flocs diminue
The knowledge of suspended particulate matter (SPM) and turbidity dynamics in coastal waters is essential for studying marine ecosystems. Flocculation/deflocculation processes are crucial mechanisms controlling the dynamics of SPM physical characteristics and thus, the fate of these SPM in the environment. This PhD thesis focuses on the SPM characteristics and their dynamics in coastal waters, from tidal to annual scales, in response to hydrodynamic, hydrological and biological forcing that take place at the interface between estuaries and coastal seas. To this end, optical and acoustic sensors were deployed in situ through 6 field campaigns in 2016, in order to characterize and quantify SPM in the water column, near the mouth of the Seine estuary (France). A critical analysis of LISST-100X measurements in coastal waters is presented. The quantification of uncertainties on SPM concentration measurements is investigated: it highlights the crucial effect of salt retention, and the need for a minimum mass to filter, around 10 mg. A method for estimating an optimal filtration volume based on a reference turbidity measurement is proposed. High frequency measurements show that the dynamics of SPM and median diameter are controlled by the advection-flocculationsedimentation-resuspension cycle.These results allow to classify the factors controlling flocculation processes. Turbulence is identified as the main factor at the semi-diurnal and semi-lunar tidal scales, as the maximum median size of flocs decreases when the tidal currents intensify.At the seasonal scale, the variation of SPM characteristics (size, density, settling velocity) is correlated to the variability of the organic matter (OM) content: in particular, flocculation is enhanced by an increase of the particular OM fraction. The resulting larger and lesser dense flocs are also more resistant to the fragmentation induced by shear. This work also investigates the fractal approach applied to flocs. The fractal dimension variability, calculated by combining in situ data of SPM concentration and particle size distribution, can be associated to variations of the SPM composition, but can also result from uncertainties linked to instrument limitations. The latter are discussed in this PhD thesis. The seasonal variability of SPM characteristics is more pronounced offshore than at the mouth of the Seine estuary. From short-term observations in the Seine Bay and from long-term series in the Belgian coastal zone provided by the RBINS, optical turbidity and acoustic backscatter measurements are combined. They highlight an increase of the acoustic backscatter intensity when mean floc density
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Книги з теми "Quantification des interactions"

1

Timlin, Dennis, and Laj R. Ahuja, eds. Enhancing Understanding and Quantification of Soil-Root Growth Interactions. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2013. http://dx.doi.org/10.2134/advagricsystmodel4.

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2

Hallman, Peter. Interactions of Degree and Quantification. BRILL, 2020.

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3

Raydugin, Yuri G. Modern Risk Quantification in Complex Projects. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844334.001.0001.

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There are multiple complaints that existing project risk quantification methods—both parametric and Monte Carlo—fail to produce accurate project duration and cost-risk contingencies in a majority of cases. It is shown that major components of project risk exposure—non-linear risk interactions—pertaining to complex projects are not taken into account. It is argued that a project system consists of two interacting subsystems: a project structure subsystem (PSS) and a project delivery subsystem (PDS). Any misalignments or imbalances between these two subsystems (PSS–PDS mismatches) are associated with the non-linear risk interactions. Principles of risk quantification are developed to take into account three types of non-linear risk interactions in complex projects: internal risk amplifications due to existing ‘chronic’ project system issues, knock-on interactions, and risk compounding. Modified bowtie diagrams for the three types of risk interactions are developed to identify and address interacting risks. A framework to visualize dynamic risk patterns in affinities of interacting risks is proposed. Required mathematical expressions and templates to factor relevant risk interactions to Monte Carlo models are developed. Business cases are discussed to demonstrate the power of the newly-developed non-linear Monte Carlo methodology (non-linear integrated schedule and cost risk analysis (N-SCRA)). A project system dynamics methodology based on rework cycles is adopted as a supporting risk quantification tool. Comparison of results yielded by the non-linear Monte Carlo and system dynamics models demonstrates a good alignment of the two methodologies. All developed Monte Carlo and system dynamics models are available on the book’s companion website.
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Enhancing Understanding and Quantification of Soil-Root Growth Interactions. Wiley & Sons, Limited, John, 2020.

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5

Lidz, Jeffrey L. Quantification in Child Language. Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199601264.013.21.

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This chapter addresses role of cognitive, information processing and learning mechanisms underlying children’s acquisition of quantifiers in natural language. We discuss the cognitive mechanisms that provide content to quantificational expressions, constraints on possible quantifier meanings, and the role of syntax in identifying a novel word as quantificational. We also examine the syntax and semantics of quantifiers in development, examining interactions between multiple scope bearing expressions in a single sentence. We explore the grammatical and psycholinguistic constraints at play in shaping children’s acquisition and use of quantificational expressions, highlighting factors that can mask children’s competence in this domain.
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Krifka, Manfred. Quantification and Information Structure. Edited by Caroline Féry and Shinichiro Ishihara. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199642670.013.35.

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The chapter provides an overview of the interaction between quantification and information-structural properties, especially focus, givenness, and topic. While quantification affects truth conditions, information-structuring devices can have an effect on the interpretation of quantificational expressions. After a short introduction to the nature of quantification, the chapter covers the main areas where such effects have been identified, in particular in adverbial quantification, in generic clauses, in conditional sentences, and in sentences with nominal (or determiner) quantification, including intersective determiners and comparative determiners likemost. It reviews different theoretical proposals how this sensitivity to information-structural categories arises, in particular whether they are related to focus or givenness. It also discusses cases in which the quantifier itself is topical, given, or focused.
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Haiman, Christopher, and David J. Hunter. Genetic Epidemiology of Cancer. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190676827.003.0004.

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This chapter explores the genetic epidemiology of cancer: the identification and quantification of inherited genetic factors, and their potential interaction with the environment, in the etiology of cancer in human populations. It also describes the techniques used to identify genetic variants that contribute to cancer susceptibility. It describes the older research methods for identifying the chromosomal localization of high-risk predisposing genes, such as linkage analysis within pedigrees and allele-sharing methods, as it is important to understand the foundations of the field. It also reviews the epidemiologic study designs that can be helpful in identifying low-risk alleles in candidate gene and genome-wide association studies, as well as gene–environment interactions. Finally, it describes some of the genotyping and sequencing platforms commonly employed for high-throughput genome analysis, and the concept of Mendelian randomization and how it may be useful in the study of biomarkers and environmental causes of cancer.
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Mayo, Julianne Susan. Fish-habitat interactions in a small freshwater lake and the evaluation of a visual census sampling method for the quantification of vertical, littoral zone habitat structure and fish distribution. 2003.

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9

Advanced Computational Vibroacoustics Reducedorder Models And Uncertainty Quantification. Cambridge University Press, 2014.

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Частини книг з теми "Quantification des interactions"

1

Achimova, Asya, Viviane Déprez, and Julien Musolino. "Structural Asymmetry in Question/Quantifier Interactions." In Linguistic and Cognitive Aspects of Quantification, 13–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91566-1_2.

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Bartsch, F., M. L. Kang, S. T. Mees, J. Haier, and P. Gassmann. "In Vivo Quantification of Metastatic Tumor Cell Adhesion in the Pulmonary Microvasculature." In Cell-Cell Interactions, 89–101. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-604-7_8.

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Adiku, S. G. K., L. R. Ahuja, H. Ozier-Lafontaine, G. H. Dunn, and L. Garcia. "Soil-Root Interactions in Mixed Plant Systems." In Enhancing Understanding and Quantification of Soil-Root Growth Interactions, 245–72. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel4.c11.

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Dathe, Annette, Johannes A. Postma, and Jonathan P. Lynch. "Modeling Resource Interactions Under Multiple Edaphic Stresses." In Enhancing Understanding and Quantification of Soil-Root Growth Interactions, 273–94. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel4.c12.

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Gregory, Peter J., A. Glyn Bengough, Timothy S. George, and Paul D. Hallett. "Rhizosphere Engineering by Plants: Quantifying Soil-Root Interactions." In Enhancing Understanding and Quantification of Soil-Root Growth Interactions, 1–30. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel4.c1.

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Kronvang, B., R. Grant, and A. L. Laubel. "Sediment and Phosphorus Export from a Lowland Catchment: Quantification of Sources." In The Interactions Between Sediments and Water, 465–76. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5552-6_48.

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Imai, Hideyuki, Daigo Izawa, Kiyotaka Yoshida, and Yoshiharu Sato. "On Detecting Interactions in Hayashi’s Second Method of Quantification." In Modeling Decisions for Artificial Intelligence, 205–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27774-3_20.

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Zwart, Sara R., and Brandon J. Lewis. "Optimization of Detection and Quantification of Proteins on Membranes in Very High and Very Low Abundance Using Avidin and Streptavidin." In Avidin-Biotin Interactions, 25–34. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-579-4_3.

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Baars, Woutijn J., and Charles E. Tinney. "Temporal and Spectral Quantification of the ‘Crackle’ Component in Supersonic Jet Noise." In Fluid-Structure-Sound Interactions and Control, 205–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40371-2_30.

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Witt, Oliver, and Bernhard Westrich. "Quantification of erosion rates for undisturbed contaminated cohesive sediment cores by image analysis." In The Interactions between Sediments and Water, 271–76. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-3366-3_37.

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Тези доповідей конференцій з теми "Quantification des interactions"

1

Kallepalli, Akhil, and David B. James. "Quantification and influence of skin chromophores for remote detection of anemic conditions." In Optical Interactions with Tissue and Cells XXXI, edited by Bennett L. Ibey and Norbert Linz. SPIE, 2020. http://dx.doi.org/10.1117/12.2545784.

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Fregonese, M. "Détection et quantification des phénomènes de fissuration assistée par l'environnement." In PlastOx 2007 - Mécanismes et Mécanique des Interactions Plasticité - Environnement. Les Ulis, France: EDP Sciences, 2009. http://dx.doi.org/10.1051/ptox/2009015.

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Loeven, G. J. A., J. A. S. Witteveen, and H. Bijl. "(Student Paper) Efficient Uncertainty Quantification in Computational Fluid-Structure Interactions." In 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
14th AIAA/ASME/AHS Adaptive Structures Conference
7th. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-1634.

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FAWCETT, P., R. FUNK, and N. KOMERATH. "Quantification of canard and wing interactions using spatial correlation velocimetry." In 10th Applied Aerodynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2687.

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Wang, Huayan, Shuai Shao, Vanlai Pham, Panju Shang, Cheng Zhong, and Seungbae Park. "Quantification of Underfill Influence to Chip Packaging Interactions of WLCSP." In ASME 2018 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipack2018-8257.

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Wafer Level Chip Scale Package (WLCSP) has been a favorable packaging solution for compact portable consumer electronics. The microelectronics industry introduced Extra Low K (ELK) to enhance electric performances with the cost of diminishing mechanical reliability. The ELK itself and its interfaces are highly fragile and susceptible to fracture. ELK cracking under bumps and ELK inter layer delamination (ILD) from die corners are often observed during and after solder reflow and qualification process such as accelerated thermal cycling (ATC). In this study, the underfill selection and its fillet formation influence to the Chip Packaging Interactions (CPI) of WLCSP was investigated through an experimental technique and numerical analysis. For the experimental assessment, thermo-mechanical interactions between die corner and underfill was investigated. Digital image correlation (DIC) technique with optical microscope was utilized to quantify the deformation behavior and strains of cross-sectioned WLCSP die corner subjected to thermal loading from 25°C to 125°C. The results clearly show captured deformations of die corner area under thermal loading. For the fillet formation influence, it shows that the high underfill fillet configuration gives higher normal strain at the die corner area during thermal cycling. For the underfill selection, it clearly shows that the strain difference at corner solder during thermal cycling caused by two different type of underfill material. Finally, finite element analysis (FEA) was conducted by simulating the thermal loading applied in the experiments and validated with experimental results. Then, using the FEA analysis, parametric study for underfill material properties and fillet height were performed on the ELK reliability of WLCSP. Energy release rate of the die corner crack were obtained and used as damage indicators for die corner ELK delamination.
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Bâce, Mihai, Sander Staal, and Andreas Bulling. "Quantification of Users' Visual Attention During Everyday Mobile Device Interactions." In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3313831.3376449.

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Yu, Xiao, Richard L. Blackmon, Patricia Carabas-Hernendez, Ashley Fuller, Melissa A. Troester, and Amy L. Oldenburg. "Quantification of mammary organoid toxicant response and mammary tissue motility using OCT fluctuation spectroscopy (Conference Presentation)." In Optical Interactions with Tissue and Cells XXVII, edited by E. Duco Jansen. SPIE, 2016. http://dx.doi.org/10.1117/12.2211461.

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Hui, Fang, Yan Guo, Baoguo Li, Chunli Lv, and Yuntao Ma. "Quantification of differences in root system architecture under maize/soybean interspecific interactions." In 2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA). IEEE, 2018. http://dx.doi.org/10.1109/pma.2018.8611603.

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Varon, Carolina, Dries Hendrikx, Juan Bolea, Pablo Laguna, and Raquel Bailón. "Quantification of Linear and Nonlinear Cardiorespiratory Interactions under Autonomic Nervous System Blockade." In 2019 Computing in Cardiology Conference. Computing in Cardiology, 2019. http://dx.doi.org/10.22489/cinc.2019.329.

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Sakata, Mamiko. "Quantification of Multimodal Interactions as Open Communication in Manzai Duo-Comic Acts." In 2017 International Conference on Culture and Computing (Culture and Computing). IEEE, 2017. http://dx.doi.org/10.1109/culture.and.computing.2017.46.

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Звіти організацій з теми "Quantification des interactions"

1

McAleer, Norma. A quantification and analysis of verbal interaction between clinician and client in a public school setting. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.263.

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McManus, Margaret A., Mark T. Stacey, and John P. Ryan. Quantification of the Interacting Physical, Biological, Optical and Chemical Properties of Thin Layers in the Sea. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada531014.

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McManus, Margaret A., Mark T. Stacey, and John P. Ryan. Quantification of the Interacting Physical, Biological, Optical and Chemical Properties of Thin Layers in the Sea. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada574183.

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Chefetz, Benny, Baoshan Xing, Leor Eshed-Williams, Tamara Polubesova, and Jason Unrine. DOM affected behavior of manufactured nanoparticles in soil-plant system. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7604286.bard.

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The overall goal of this project was to elucidate the role of dissolved organic matter (DOM) in soil retention, bioavailability and plant uptake of silver and cerium oxide NPs. The environmental risks of manufactured nanoparticles (NPs) are attracting increasing attention from both industrial and scientific communities. These NPs have shown to be taken-up, translocated and bio- accumulated in plant edible parts. However, very little is known about the behavior of NPs in soil-plant system as affected by dissolved organic matter (DOM). Thus DOM effect on NPs behavior is critical to assessing the environmental fate and risks related to NP exposure. Carbon-based nanomaterials embedded with metal NPs demonstrate a great potential to serve as catalyst and disinfectors. Hence, synthesis of novel carbon-based nanocomposites and testing them in the environmentally relevant conditions (particularly in the DOM presence) is important for their implementation in water purification. Sorption of DOM on Ag-Ag₂S NPs, CeO₂ NPs and synthesized Ag-Fe₃O₄-carbon nanotubebifunctional composite has been studied. High DOM concentration (50mg/L) decreased the adsorptive and catalytic efficiencies of all synthesized NPs. Recyclable Ag-Fe₃O₄-carbon nanotube composite exhibited excellent catalytic and anti-bacterial action, providing complete reduction of common pollutants and inactivating gram-negative and gram-positive bacteria at environmentally relevant DOM concentrations (5-10 mg/L). Our composite material may be suitable for water purification ranging from natural to the industrial waste effluents. We also examined the role of maize (Zeamays L.)-derived root exudates (a form of DOM) and their components on the aggregation and dissolution of CuONPs in the rhizosphere. Root exudates (RE) significantly inhibited the aggregation of CuONPs regardless of ionic strength and electrolyte type. With RE, the critical coagulation concentration of CuONPs in NaCl shifted from 30 to 125 mM and the value in CaCl₂ shifted from 4 to 20 mM. This inhibition was correlated with molecular weight (MW) of RE fractions. Higher MW fraction (> 10 kDa) reduced the aggregation most. RE also significantly promoted the dissolution of CuONPs and lower MW fraction (< 3 kDa) RE mainly contributed to this process. Also, Cu accumulation in plant root tissues was significantly enhanced by RE. This study provides useful insights into the interactions between RE and CuONPs, which is of significance for the safe use of CuONPs-based antimicrobial products in agricultural production. Wheat root exudates (RE) had high reducing ability to convert Ag+ to nAg under light exposure. Photo-induced reduction of Ag+ to nAg in pristine RE was mainly attributed to the 0-3 kDa fraction. Quantification of the silver species change over time suggested that Cl⁻ played an important role in photoconversion of Ag+ to nAg through the formation and redox cycling of photoreactiveAgCl. Potential electron donors for the photoreduction of Ag+ were identified to be reducing sugars and organic acids of low MW. Meanwhile, the stabilization of the formed particles was controlled by both low (0-3 kDa) and high (>3 kDa) MW molecules. This work provides new information for the formation mechanism of metal nanoparticles mediated by RE, which may further our understanding of the biogeochemical cycling and toxicity of heavy metal ions in agricultural and environmental systems. Copper sulfide nanoparticles (CuSNPs) at 1:1 and 1:4 ratios of Cu and S were synthesized, and their respective antifungal efficacy was evaluated against the pathogenic activity of Gibberellafujikuroi(Bakanae disease) in rice (Oryza sativa). In a 2-d in vitro study, CuS decreased G. fujikuroiColony- Forming Units (CFU) compared to controls. In a greenhouse study, treating with CuSNPs at 50 mg/L at the seed stage significantly decreased disease incidence on rice while the commercial Cu-based pesticide Kocide 3000 had no impact on disease. Foliar-applied CuONPs and CuS (1:1) NPs decreased disease incidence by 30.0 and 32.5%, respectively, which outperformed CuS (1:4) NPs (15%) and Kocide 3000 (12.5%). CuS (1:4) NPs also modulated the shoot salicylic acid (SA) and Jasmonic acid (JA) production to enhance the plant defense mechanisms against G. fujikuroiinfection. These results are useful for improving the delivery efficiency of agrichemicals via nano-enabled strategies while minimizing their environmental impact, and advance our understanding of the defense mechanisms triggered by the NPs presence in plants.
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