Thematische Bibliographien / X-Means

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „X-Means“

Autor: Grafiati
Veröffentlicht am 24. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "X-Means"

1

Adams, Fred, and Kenneth Aizawa. "“X” means X: Semantics Fodor-style." Minds and Machines 2, no. 2 (1992): 175–83. http://dx.doi.org/10.1007/bf00704456.

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Han, Myoungji, Jihyuk Lim, Junyong Choi, et al. "A Malicious Traffic Detection Method Using X-means Clustering." Journal of KIISE 41, no. 9 (2014): 617–24. http://dx.doi.org/10.5626/jok.2014.41.9.617.

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Abdelrahman, Radwan, Abdellatif Nasser, Radwan Eyad, and Akhozahieh Maryam. "Fitness function X-means for prolonging wireless sensor networks lifetime." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 465–72. https://doi.org/10.11591/ijece.v13i1.pp465-472.

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X-means and k-means are clustering algorithms proposed as a solution for prolonging wireless sensor networks (WSN) lifetime. In general, X-means overcomes k-means limitations such as predetermined number of clusters. The main concept of X-means is to create a network with basic clusters called parents and then generate (j) number of children clusters by parents splitting. X-means did not provide any criteria for splitting parent’s clusters, nor does it provide a method to determine the acceptable number of children. This article proposes fitness function X-means (FFX-means) as an enhance
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Larasati, Aisyah, Apif Miftahul Hajji, Anik Nur Handayani, Nabila Azzahra, Muhammad Farhan, and Puji Rahmawati. "Profiling Academic Library Patrons using K-means and X-means Clustering." International Journal of Technology 10, no. 8 (2019): 1567. http://dx.doi.org/10.14716/ijtech.v10i8.3440.

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5

HO, T. L. "Petrofabric Analysis by Means of X-Ray1." Bulletin of the Geological Society of China 27, no. 1 (2009): 389–98. http://dx.doi.org/10.1111/j.1755-6724.1947.mp27001027.x.

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Krutzenbichler, A., J. Keimel, and G. Fritsch. "Locally Resolved X-Ray Investigations by Means of X-Ray Optics." Materials Science Forum 133-136 (January 1993): 243–48. http://dx.doi.org/10.4028/www.scientific.net/msf.133-136.243.

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7

Rokhmatan Khaerullah, Rizal, Nana Suarna, and Odi Nurdiawan. "Analisa Pengelompokan Dataset Komputer Menggunakan Algoritma X-Means." Jurnal Informatika dan Teknologi Informasi 1, no. 3 (2023): 125–31. http://dx.doi.org/10.56854/jt.v1i3.135.

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Computer dataset cluster analysis is a data mining technique that aims to identify a group of objects that have the same characteristics. The problem in this research is how to implement the X-Means Clustering algorithm in grouping computer datasets based on computer prices and specifications. The purpose of this study is to determine the implementation of the X-Means Clustering method in classifying computer datasets against prices and specifications. This computer dataset consists of several attributes with a large number of records so we need a process that can group the data, namely cluste
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Cazaux, J. "Characteristic x-ray imaging by means of filters." X-Ray Spectrometry 28, no. 1 (1999): 9–18. http://dx.doi.org/10.1002/(sici)1097-4539(199901/02)28:1<9::aid-xrs299>3.0.co;2-l.

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Bustami, Bustami, Rike Mahara, Hendri Ahmadian, Sri Wahyuni, and Khairan AR. "Analisis Clustering Penduduk Miskin Di Provinsi Aceh Menggunakan Algoritma K-Means Dan X-Means." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 5, no. 1 (2022): 26–35. http://dx.doi.org/10.32672/jnkti.v5i1.3961.

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Abstrak-Analisis Clustering merupakan salah satu metode yang bertujuan untuk mengelompokan data/objek berdasarkan kemiripan dan ketidakmiripan karakteristiknya. Sehingga objek yang berada pada satu cluster memiliki kemiripan yang besar dan sangat kecil bila dibandingkan dengan cluster lain. Algoritma K-means merupakan salah satu metode pengelompokan non hierarki yang paling umum digunakan, namun pada algoritma ini pengguna harus mengetahui jumlah kelompok yang akan dikelompokan. Sedangkan algoritma X-means merupakan pengembangan dari algoritma K-means, dimana algoritma ini mampu mengelompokan
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Kaligis, Gideon Bartolomeus, and Sri Yulianto. "ANALISA PERBANDINGAN ALGORITMA K-MEANS, K-MEDOIDS, DAN X-MEANS UNTUK PENGELOMPOKKAN KINERJA PEGAWAI." IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi 1, no. 3 (2022): 179–93. http://dx.doi.org/10.24246/itexplore.v1i3.2022.pp179-193.

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Kinerja pegawai menjadi rangkuman dalam hal kualitas, kuantitas, jam kerja dan juga kerja sama untuk mencapai suatu tujuan yang telah ditetapkan oleh instansi atau perusahaan, namun dalam Sekretariat DPRD Provinsi Sulawesi Utara belum adanya metode untuk menentukan pengelompokkan kinerja pegawai. Untuk mengatasi permasalahan ini, diperlukan adanya pengelompokan kinerja pegawai di Sekretariat DPRD Provinsi Sulawesi Utara, sehingga bisa menentukan kinerja pegawai yang berkualitas. Tujuan dari penelitian ini dengan melakukan perbandingan metode-metode clustering untuk mendapatkan metode yang lebi
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Dissertationen zum Thema "X-Means"

1

Zhan, Rongrong. "Structural investigation of complex surface interfaces by means of X-ray Photoelectron Diffraction." Doctoral thesis, Università degli studi di Trieste, 2012. http://hdl.handle.net/10077/7447.

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2010/2011<br>The goal of this dissertation is to explain how the X-ray photoelectron diffraction technique can be successfully employed in the structural investigation of complex surface interfaces of ultra-thin films. Local geometrical analysis, combined with other techniques that gain additional electronic and surface morphological information to the system investigated, shed light on those extremely complicated surface atomic systems. These studies are aimed to contribute to the many interesting applications in fields like nano-electronics, surface coating and magnetic storage devices.<br>
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Islam, Md Khairul. "TRANSFORMED TESTS FOR HOMOGENEITY OF VARIANCES AND MEANS." Bowling Green State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1150727264.

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Fransson, Thomas. "X-ray absorption spectroscopy by means of Lanczos-chain driven damped coupled cluster response theory." Thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72460.

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A novel method by which to calculate the near edge X-rayabsorption fine structure region of the X-ray absorption spectrum has been derived and implemented. By means of damped coupled cluster theory at coupled cluster levels CCS, CC2, CCSD and CCSDR(3), the spectra of neon and methane have been investigated. Using methods incorprating double excitations, the important relaxation effects maybe taken into account by simultaneous excitation of the core electron and relaxation of other electrons. An asymmetric Lanczos-chain driven approach has been utilized as a means to partially resolve the excit
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Heldt, Georg. "Arrays of magnetic nanostructures : a dynamical and structural study by means of X-ray experiments." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/arrays-of-magneticnanostructuresa-dynamical-and-structuralstudy-by-means-of-xrayexperiments(99302e83-f625-4c43-99c1-02b2576f0175).html.

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The work in this PhD thesis covers two strands of x-ray experiments: firstly, the characterisation of large arrays of dense structures by means of x-ray scattering, and, secondly, the investigation of hybrid anisotropy square structures with x-ray microscopy. The ability to accurately characterise large arrays of nanoscale magnetic structures is a key requirement for both scientific understanding and technological advance such as bit patterned recording media (BPM). In this work small angle x-ray scattering (SAXS) was investigated as a characterisation technique for large arrays of patterned s
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Sakildien, Muneer. "Plasma characterisation of an electron cyclotron resonance ion source by means of x-ray spectroscopy." Thesis, University of the Western Cape, 2012. http://hdl.handle.net/11394/5212.

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>Magister Scientiae - MSc<br>The ultimate aim of any multiply-charged ion source, like the Electron Cyclotron Resonance Ion Source, ECRIS, is the production of multiply-charged ions, in sufficiently large quantities. These multiplycharged ions, in the case of the ECRIS, are created by a step-by-step ionisation process, whereby neutral atoms are ionised by energetic electrons. The goal of this thesis was to gain an understanding of the relative importance of various ECRIS parameters on the production of these energetic electrons. This was done by measuring the bremsstrahlung continuum emitted b
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Lalechos, Antonios V. "Evaluation of X-ray CT tomography as a means for investigating in-situ electrical contact interfaces." Thesis, University of Southampton, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536365.

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Fournet, Steven P. "High Resolution X-ray Diffraction Analysis of CB1 Receptor Antagonists as a Means to Explore Binding Affinity." ScholarWorks@UNO, 2013. http://scholarworks.uno.edu/td/1737.

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Abstract Charge density studies have been conducted on ten CB1 cannabinoid receptor antagonists via high resolution x-ray crystallography. Bond critical point values and various other properties derived from these studies including the electrostatic potential were analyzed in correlation to the affinity of each compound with the CB1 receptor. Correlation/anti-correlation was found between several properties and Ki. The data was also interpreted by principal component analysis with three principal components accounting for 85% of the data variation. Data mining was limit due to the low sample c
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Schmacke, Saskia [Verfasser]. "Investigations of Polyethylene Materials by Means of X-ray Diffraction : artificial ageing of polyethylene gas pipes / Saskia Schmacke." Dortmund : Universitätsbibliothek Technische Universität Dortmund, 2011. http://d-nb.info/1011568497/34.

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Mercurio, Giuseppe [Verfasser]. "Study of molecule-metal interfaces by means of the normal incidence x-ray standing wave technique / Giuseppe Mercurio." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2012. http://d-nb.info/1028084870/34.

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HAIDE, Robert Christian. "Characterization of Multi-Phase Fluid Displacement in Porous Media during Drying by means of X-Ray Micro Computed Tomography." Doctoral thesis, Università degli studi di Bergamo, 2021. http://hdl.handle.net/10446/189681.

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Lo spostamento del fluido in mezzi porosi durante la lenta essiccazione in atmosfera controllata viene esplorato a livello dei pori, utilizzando la tecnica della micro tomografia computerizzata a raggi X. A tal fine, un corpo campione regolare, poroso e di dimensioni micro-metriche, che presenta una struttura dei pori e una bagnabilità predefinite, è concepito e prodotto sulla base di una serie di esperimenti preliminari. Dopo l’infusione con acqua distillata, viene studiato il comportamento di essiccazione del campione in atmosfera controllata. Successivamente viene definita e condotta una se
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Bücher zum Thema "X-Means"

1

Myers, Walter Dean. Malcolm X: By any means necessary. Scholastic, 1993.

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Rochow, Theodore George. Introduction to microscopy by means of light, electrons, X rays, or acoustics. 2nd ed. Plenum Press, 1994.

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Rochow, Theodore George, and Paul Arthur Tucker. Introduction to Microscopy by Means of Light, Electrons, X Rays, or Acoustics. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1513-9.

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Rochow, Theodore George, and Eugene George Rochow. An Introduction to Microscopy by Means of Light, Electrons, X-Rays, or Ultrasound. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4684-2454-6.

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Rochow, Theodore George. An Introduction to Microscopy by Means of Light, Electrons, X-Rays, or Ultrasound. Springer US, 1995.

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Lee, Spike. By any means necessary: The trials and tribulations of the making of Malcolm X--. Hyperion, 1992.

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Bichler, Gabriele Aïsha. By any means necessary?! Analogien und Differenzen im Denken von Frantz Fanon und Malcolm X. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-41187-9.

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8

A, Nowak Michael, and United States. National Aeronautics and Space Administration., eds. X-ray variability coherence: How to compute it, what it means, and how it constrains models of GX 339-4 and Cygnus X-1. National Aeronautics and Space Administration, 1997.

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A, Nowak Michael, and United States. National Aeronautics and Space Administration., eds. X-ray variability coherence: How to compute it, what it means, and how it constrains models of GX 339-4 and Cygnus X-1. National Aeronautics and Space Administration, 1997.

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A, Nowak Michael, and United States. National Aeronautics and Space Administration., eds. X-ray variability coherence: How to compute it, what it means, and how it constrains models of GX 339-4 and Cygnus X-1. National Aeronautics and Space Administration, 1997.

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Buchteile zum Thema "X-Means"

1

Cauchois, Yvette. "New Means and Objectives in X And X-UV Spectroscopy and Imagery." In NATO ASI Series. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2431-1_13.

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Ebel, H., R. Svagera, and S. Rezai Afshar. "Depth Profiling by Means of X-Ray Fluorescence Analysis." In Advances in X-Ray Analysis. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3460-0_13.

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Ebel, M. F., H. Ebel, and F. Olcaytug. "Depth Profiling by Means of X-Ray Photoelectron Spectrometry." In Advances in X-Ray Analysis. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3460-0_22.

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Rochow, Theodore George, and Paul Arthur Tucker. "X-Ray Microscopy." In Introduction to Microscopy by Means of Light, Electrons, X Rays, or Acoustics. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1513-9_17.

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Krawczyk, Bartosz, and Michał Woźniak. "Pruning Ensembles of One-Class Classifiers with X-means Clustering." In Intelligent Information and Database Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15702-3_47.

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Bichler, Gabriele Aïsha. "Malcolm X." In By any means necessary?! Analogien und Differenzen im Denken von Frantz Fanon und Malcolm X. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-41187-9_3.

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Berti, Giovanni. "Detection and Modelling of Micro-Crystallinity by Means of X-Ray Powder Diffractometry." In Advances in X-Ray Analysis. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1797-9_47.

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Schwenke, H., R. Gutschke, and J. Knoth. "Characterization of Near Surface Layers by Means of Total Reflection X-Ray Fluorescence Spectrometry." In Advances in X-Ray Analysis. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3460-0_28.

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Matsumoto, Ryosuke, Mamoru Ozawa, Shinya Terada, and Takenori Iio. "Low NO x Combustion of DME by Means of Flue Gas Recirculation." In Challenges of Power Engineering and Environment. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76694-0_233.

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10

Prediger, Susane, and Nadine Krägeloh. "“X-Arbitrary Means Any Number, but You Do Not Know Which One”." In Teaching and Learning Mathematics in Multilingual Classrooms. SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-229-5_7.

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Konferenzberichte zum Thema "X-Means"

1

Yu, Hongsheng, Jiacun Niu, Peng Zhang, and Chen Xie. "Front end Component Adaptation Based on X-Means Algorithm." In 2024 10th International Conference on Computer and Communications (ICCC). IEEE, 2024. https://doi.org/10.1109/iccc62609.2024.10942297.

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Shahbaba, Mahdi, and Soosan Beheshti. "Improving X-means clustering with MNDL." In 2012 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA). IEEE, 2012. http://dx.doi.org/10.1109/isspa.2012.6310493.

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Kumar, Parvesh, and Siri Krishan Wasan. "Analysis of X-means and global k-means USING TUMOR classification." In 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccae.2010.5451883.

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Žalik, Krista Rizman, and Mitja Žalik. "Comparison of K-Means, K-Means++, X-Means and Single Value Decomposition for Image Compression." In 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC). IEEE, 2023. http://dx.doi.org/10.1109/cscc58962.2023.00055.

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Imamura, Kousuke, Naoki Kubo, and Hideo Hashimoto. "Automatic moving object extraction using x-means clustering." In 2010 Picture Coding Symposium (PCS). IEEE, 2010. http://dx.doi.org/10.1109/pcs.2010.5702477.

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Bogucharskiy, Sergii, and Volodymyr Mashtalir. "Image segmentation via X-means under overlapping classes." In 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT). IEEE, 2015. http://dx.doi.org/10.1109/stc-csit.2015.7325427.

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Kim, Nakyoung, Hyojin Park, Jun Kyun Choi, and Jinhong Yang. "Time gap accounted video scene segmentation with modified mean-shift X-means clustering." In 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE). IEEE, 2017. http://dx.doi.org/10.1109/gcce.2017.8229332.

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Radwan, Abdelrahman, Nazhatul Hafizah Kamarudin, Mahmud Iwan Solihin, and Hungyang Leong. "Slitting K-means clusters to X-means clusters for prolonging wireless sensor networks lifetime." In PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC DEVICES, SYSTEMS AND APPLICATIONS (ICEDSA2020). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0032429.

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Monica, Stephanie, Friska Natalia, and Sud Sudirman. "Clustering Tourism Object in Bali Province Using K-Means and X-Means Clustering Algorithm." In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2018. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2018.00241.

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Nardi, E., and D. Riley. "Dense plasma diagnostics by means of X-ray scattering." In International Conference on Plasma Sciences (ICOPS). IEEE, 1993. http://dx.doi.org/10.1109/plasma.1993.593420.

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Berichte der Organisationen zum Thema "X-Means"

1

Ullrich, J. B., I. L. Klotzko, K. G. Huang, et al. Concentration of synchrotron beams by means of monolithic polycapillary x-ray optics. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/505378.

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Snoha, Daniel J., and Scott M. Grendahl. X-ray Diffraction as a Means to Assess Fatigue Performance of Shot-Peened Materials. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada568914.

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Janssens, K. H., F. C. Adams, M. L. Rivers, and K. W. Jones. Analysis of individual microscopic particles by means of synchrotron radiation induced x-ray micro fluorescence. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10147778.

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David, Patty. Gen X and Boomer Grandmothers: (Re)defining What It Means to Be a Grandmother: Fact Sheet. AARP Research, 2019. http://dx.doi.org/10.26419/res.00289.020.

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D. Pacella, M. Leigheb, R. Bellazzini, et al. Soft X-ray Tangential Imaging of the NSTX Core Plasma by Means of a MPGD Pin-hole Camera. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/814725.

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Sublette, K. L. Microbial reduction of SO[sub 2] and NO[sub x] as a means of by- product recovery/disposal from regenerable processes for the desulfurization of flue gas. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/6595741.

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Sublette, K. L. Microbial reduction of SO[sub 2] and NO[sub x] as a means of by- product recovery/disposal from regenerable processes for the desulfurization of flue gas. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/6687031.

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Graham, Timothy, and Katherine M. FitzGerald. Bots, Fake News and Election Conspiracies: Disinformation During the Republican Primary Debate and the Trump Interview. Queensland University of Technology, 2023. http://dx.doi.org/10.5204/rep.eprints.242533.

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We used Alexandria Digital, a world leading disinformation detection technology, to analyse almost a million posts on X (formerly known as Twitter) and Reddit comments during the first Republican primary debate and counterprogrammed Tucker Carlson and Donald Trump interview on the 23rd of August. What we did: • Collected 949,259 posts from the platform X, formerly known as Twitter. These posts were collected if they contained one of 11 relevant hashtags or keywords and were posted between 8:45pm and 11:15pm EST on 23rd August 2023. • Collected 20,549 comments from two separate Reddit threads.
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Petitte, James, Hefzibah Eyal-Giladi, and Malka Ginsburg. The Study of Primordial Germ Cell Development as a Tool for Gene Transfer in Chickens. United States Department of Agriculture, 1991. http://dx.doi.org/10.32747/1991.7561071.bard.

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The ability to introduce novel genetic material into the genome of commercial poultry has been impeded by a lack of kowledge regarding the origin in the early embryo of the target cell of interest, namely, the germ cell. Hence, this project investigated the emergence of primordial germ cells (PGCs) during the early development of the avian embryo to aid in efforts to produce transgenic poultry on a routine basis. The strategy was to introduce foreign DNA into the area of the unincubated embryo that is destined to give rise to the germ line. The objectives of this project were: 1) to identify a
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10

Sublette, K. L. Microbial reduction of SO{sub 2} and NO{sub x} as a means of by-product recovery/disposal from regenerable processes for the desulfurization of flue gas. Final report. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10150849.

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