1,387 research outputs found

    Elsass im Jahre 1648

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    entworfen von M. Kirchner ; [hrsg. v. ] Geograph. Anstalt v. Wagner & Debes, LeipzigBeilage: Elsass im Jahre 1648 : ein Beitrag zu Territorialgeschicht

    Elsass im Jahre 1789

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    entworfen von M. Kirchner ; [hrsg. v.] Geograph. Anstalt v. Wagner & Debes, LeipzigBeilage: Erläuternde Bemerkungen zu der Kart

    Das Reichsland Lothringen am 1. Febr. des Jahres 1766 und sein Nachbargebiet im Westen und Süden

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    entworfen von M. Kirchner ; Schrift lithogr. v. G. Busch ; [hrsg. v.] Geograph. Anstalt v. Wagner & Debes, LeipzigBeilage: Erläuternde Bemerkungen zu der Kart

    Jean-Pierre Coco et Joseph Debes, 1937, L'élan jociste. Le dixième anniversaire de la J.O.C., Paris-Juillet 1937, Préface de J.-M. Mayeur, 1989

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    Epp René. Jean-Pierre Coco et Joseph Debes, 1937, L'élan jociste. Le dixième anniversaire de la J.O.C., Paris-Juillet 1937, Préface de J.-M. Mayeur, 1989. In: Revue des Sciences Religieuses, tome 64, fascicule 3-4, 1990. pp. 339-340

    Supplemental Material, Groth_Supplementary_Tables - Predictors of the Clinical Course of Tourette Syndrome: A Longitudinal Study

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    Supplemental Material, Groth_Supplementary_Tables for Predictors of the Clinical Course of Tourette Syndrome: A Longitudinal Study by Camilla Groth, Liselotte Skov, Theis Lange and Nanette M. Debes in Journal of Child Neurology</p

    Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection

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    Villmann T, Schleif F-M, Hammer B. Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection. In: Groß H-M, Debes K, Böhme H-J, eds. SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. VDI Verlag; 2004

    Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection

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    Villmann T, Hammer B, Schleif F-M. Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection. In: Groß H-M, Debes K, Böhme H-J, eds. Proceedings of Selbstorganisation Von Adaptivem Verfahren. Fortschritts-Berichte VDI Reihe 10, Nr. 742. VDI Verlag; 2004: 592-597

    Mapping the Design Space of Reinforcement Learning Problems - a Case Study

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    Tluk von Toschanowitz K, Hammer B, Ritter H. Mapping the Design Space of Reinforcement Learning Problems - a Case Study. In: Gross H-M, Debes K, Böhme H-J, eds. SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. VDI Verlag; 2004: 251-261

    Functional Nanocarbon Hybrids in Metal Oxide Nanocomposites for Photocatalysis

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    The textile industry is a major contributor to environmental pollution, primarily through the discharge of wastewater loaded with dyes and contaminants that disrupt natural ecosystems. This study aims to develop a hybrid material by functionalizing carbon nanodots (CNDs) with the donor-&pi;-acceptor organic dye L1 via amide coupling. By chemically modifying the surface of CNDs, we can enhance their multifunctionality and tailor their molecular composition. This innovative approach seeks to replace expensive dyes with cost-effective CNDs synthesized from citric acid and ethylenediamine using a domestic microwave oven, potentially improving the stability of the resulting hybrid. Additionally, TiO2 anatase particles were synthesized as a metal oxide platform and sensitized with both pristine materials and the CND-L1 hybrid. A range of physicochemical methods was employed to analyze the elemental, structural, and optical properties of these materials. In photocatalytic degradation tests of methyl orange, the sensitized catalysts demonstrated significantly improved efficiency compared to TiO2 alone. While CNDs exhibited good stability and enhanced L1&rsquo;s stability, scavenger experiments revealed that holes and hydroxyl radicals play crucial roles in the degradation mechanism. This research underscores the promise of CND hybrids in advancing pollutant degradation technologies while reducing reliance on costly photocatalysts

    Functional Groups Accessibility and the Origin of Photoluminescence in N/O‐containing Bottom‐up Carbon Nanodots

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    Chemical surface functionalization of carbon nanodots (CNDs) offers a valuable opportunity to tailor multifunctionality in these nanocarbons, by engineering the composition of their molecular surface. Therefore, it is important to elucidate the type and amount of CNDs surface functionalization to be able to design their properties accurately. CNDs are often functionalized through amide coupling without validating the degree of surface functionalization. As a measure of surface functionalization, the amounts of primary amines via Kaiser test (KT) or imine reactions of the bare CNDs is often considered. However, this may lead to overestimating the degree of surface functionalization obtained by the pure amide coupling due to different reaction mechanisms and involved intermediates. Herein, four different CNDs prepared by microwave-assisted synthesis from arginine or citric acid with varying amounts of ethylenediamine are presented. We resorted to combining physicochemical methods to provide elemental, structural, and optical information. By that, we developed a method to quantify the degree of surface functionalization by amide coupling and show that the surface functionalization is lower than anticipated. Comparing experimental optical features of the CNDs with different computed model systems enables us to provide a more advanced vision of structure-property relationships in these still elusive nanocarbons
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