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Relevant bibliographies by topics / Kappa refinement

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Journal articles

Academic literature on the topic 'Kappa refinement'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Kappa refinement"

1

Loschiavo, John, Brett Cirulis, Yingxin Zuo, Bronwyn A. Hradsky, and Julian Di Stefano. "Mapping prescribed fire severity in south-east Australian eucalypt forests using modelling and satellite imagery: a case study." International Journal of Wildland Fire 26, no. 6 (2017): 491. http://dx.doi.org/10.1071/wf16167.

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Accurate fire severity maps are fundamental to the management of flammable landscapes. Severity mapping methods have been developed and tested for wildfire, but need further refinement for prescribed fire. We evaluated the accuracy of two severity mapping methods for a low-intensity, patchy prescribed fire in a south-eastern Australian eucalypt forest: (1) the Normalised Difference Vegetation Index (NDVI) derived from RapidEye satellite imagery, and (2) PHOENIX RapidFire, a fire-spread simulation model. We used each method to generate a fire severity map (four-category: unburnt, low, moderate

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2

Palatinus, L., A. Suresh, E. Yörük, et al. "Net atomic charges by dynamical kappa refinement against 3D-ED data." Acta Crystallographica Section A Foundations and Advances 79, a2 (2023): C413. http://dx.doi.org/10.1107/s2053273323092021.

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3

Suresh, Ashwin, E. Yörük, Petr Brázda, M. Cabaj, H. Chintakindi, and L. Palatinus. "Atomic ionisation determined by dynamical kappa refinement against 3D electron diffraction data." Acta Crystallographica Section A Foundations and Advances 80, a1 (2024): e322-e322. https://doi.org/10.1107/s2053273324096773.

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4

Bakli, Mahfoud, Noureddine Bouras, Raul Paşcalău, and Laura Șmuleac. "Bioinformatic Characterization of a Kappa-Carrageenase from Pseudomonas fluorescens." Advanced Research in Life Sciences 6, no. 1 (2022): 33–39. http://dx.doi.org/10.2478/arls-2022-0036.

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Abstract Kappa-carrageenase (EC 3.2.1.83) is a glycoside hydrolase family 16 (GH16) member that could specifically hydrolyse kappa-carrageenans to kappa-carrageenan oligosaccharides. Kappa-carrageenase enzymes have attracted much interest due to their numerous potential applications in biomedical and physiological fields, bioethanol production, and textile industry. In the present study, physicochemical, secondary structure, structural properties including homology modeling, refinement, and model quality validation, and functional analyses of the kappacarrageenanse from Pseudomonas fluorescens

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5

Ghermani, N., C. Lecomte, and N. Bouhmaida. "Electrostatic Potential from High-Resolution X-Ray Diffraction. Application to a Pseudo-Peptide Molecule." Zeitschrift für Naturforschung A 48, no. 1-2 (1993): 91–98. http://dx.doi.org/10.1515/zna-1993-1-222.

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Abstract The calculation of the electrostatic potential of a molecule removed from the crystal lattice is derived from the parameters obtained by a kappa refinement and by a Hansen-Coppens electron density model. These calculations in direct space are applied to N-acetyl-α,β-dehydrophenylalanine; deformation potentials calculated by Fourier transformation are compared to those obtained in direct space.

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6

Jelsch, Christian, Benoit Guillot, Angelique Lagoutte, and Claude Lecomte. "Advances in protein and small-molecule charge-density refinement methods usingMoPro." Journal of Applied Crystallography 38, no. 1 (2005): 38–54. http://dx.doi.org/10.1107/s0021889804025518.

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With an increasing number of biological macromolecule structures solved at ultra-high resolution and with the advances of supramolecular chemistry, it becomes necessary to extend to large systems experimental charge-density study methods that are usually applied to small molecules. The latest developments in the refinement programMoPro(Molecular Properties), dedicated to the charge-density refinement at (sub)atomic resolution of structures ranging from small molecules to biological macromolecules, are presented.MoProuses the Hansen & Coppens [Acta Cryst.(1978), A34, 909–921] multipolar pse

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7

Mikita, Tomáš, Lenka Janošíková, Jan Caha, and Elizaveta Avoiani. "The Potential of UAV Data as Refinement of Outdated Inputs for Visibility Analyses." Remote Sensing 15, no. 4 (2023): 1028. http://dx.doi.org/10.3390/rs15041028.

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Visibility analyses in geographical information systems (GIS) are used to quantify the visible and non-visible parts of the landscape. This study aims to evaluate the changes in viewshed outputs after the unmanned aerial vehicle (UAV) data refinement for the near surroundings of the observer. This research accounts for the influence of data age, mainly due to vegetation growth, and the impact of the input data quality on the final study output. The raw data that were used for UAV refinement were publicly available data (one dataset at the global level, two datasets at the national level of the

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8

Kumar, Divya, Dhanadivya Krishnakumar, Vamsi Lavu, Akila Ganesh, Deepak Moses Ravindran, and S. K. Balaji. "Development and Validation of a Questionnaire for a Knowledge, Attitude, and Practice Survey on COVID-19 among the General Public." Journal of Indian Association of Public Health Dentistry 23, no. 1 (2025): 22–25. https://doi.org/10.4103/jiaphd.jiaphd_74_24.

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Abstract Background: It is essential to understand an individual’s knowledge, attitude, and practice (KAP) toward COVID-19 as public adherence to health guidelines relies heavily on these aspects and helps curb its spread. The objective of this study was to develop and validate a questionnaire using a scientific step-wise process to assess the KAPs on COVID-19 among the general public from South India. Materials and Methods: A step-wise questionnaire development process comprising conceptual framework, development of an item pool, refinement of the item pool, focused group discussion, translat

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9

Bogdanovic, Goran, Nada Bosnjakovic-Pavlovic, Bire Spasojevic-De, Eddine Ghermanic, and Ubavka Mioc. "Low temperature crystal structure, experimental atomic charges and electrostatic potential of ammonium decavanadate hexahydrate (NH4)V10O28·6H2O." Journal of the Serbian Chemical Society 72, no. 6 (2007): 545–54. http://dx.doi.org/10.2298/jsc0706545b.

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The X-ray structure of ammonium decavanadate hexahydrate was redetermined at a low temperature (100 K) in order to locate the hydrogen sites and to study the hydrogen bonds. The hydrogen atoms were assigned to the appropriate atomic group, NH4 + cations, and water molecules, missing to the best of our knowledge in the literature. A kappa refinement was performed to estimate the experimental atomic charges. These charges were used to generale the electrostatic potential on the molecular surfaces of decavanadate polyanions isolated from the influence of the crystal lattice. Comparisons with prev

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10

Frankowski, Kevin J., Michael P. Hedrick, Palak Gosalia, et al. "Discovery of Small Molecule Kappa Opioid Receptor Agonist and Antagonist Chemotypes through a HTS and Hit Refinement Strategy." ACS Chemical Neuroscience 3, no. 3 (2012): 221–36. http://dx.doi.org/10.1021/cn200128x.

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