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Record W648867008

Ceramics for environmental and energy applications : a collection of papers presented at the 8th Pacific Rim Conference on Ceramic and Glass Technology, May 31-June 5, 2009, Vancouver, British Columbia

2010· book· en· W648867008 on OpenAlexaboutno aff
Aldo R. Boccaccini

Bibliographic record

VenueJohn Wiley & Sons eBooks · 2010
Typebook
Languageen
FieldMaterials Science
TopicNuclear materials and radiation effects
Canadian institutionsnot available
Fundersnot available
KeywordsCeramicVitrificationMaterials scienceBorosilicate glassGlass industryMetallurgyMineralogyNuclear chemistryWaste managementChemistryPhysicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

Preface ix Introduction xi GLASSES AND CERAMICS FOR NUCLEAR AND HAZARDOUS WASTE TREATMENT Development of Glass Compositions to Immobilize Alkali, Alkaline Earth, Lanthanide and Transition Metal Fission Products from Nuclear Fuel Reprocessing 3 J. C. Marra and A. L. Billings, J. V. Crum, J. V. Ryan, and J. D. Vienna Castable Glass and Glass-Ceramics from DC Plasma Treatment of Air Pollution Control Residues 11 D. Amutha Rani, J. A. Roether, D.E. Deegan, C. R. Cheeseman, and A. R. Boccaccini XAFS of Pu L i Edge in LaBS Glass 17 S. V. Stefanovsky, A. G. Ptashkin, A. A. Shiryaev, J. V. Zubavitchus, A. A. Veligjanin, J. C. Marra, and M. V. Chukalina Phase Formation Studies Using X-Ray Diffraction and Infrared Spectroscopy in the Vitrification of Savannah River Site SB4 HLW Sludge Surrogate with High Iron and Aluminum Contents at High Waste Loadings 25 O. I. Stefanovsky, S. V. Stefanovsky, D. Y. Suntsov, A. A. Akatov, and J. C. Marra Development of Waste Forms for Radioactive Iodine 35 Terry J. Garino, Tina M. Nenoff, James L. Krumhansl and David X. Rademacher CaM004 in a Molybdenum Rich Borosilicate Glass-Ceramic: A Spectroscopic Study 43 Clement Mendoza, Gerard Panczer, Dominique de Ligny, Isabelle Bardez-Giboire, Sophie Schuller, and Sylvain Peuget Glass-Ceramic Stoneware as a Promising Application for Waste Glasses 57 E. Bernardo, L. Esposito, E. Rambaldi, and A.Tucci SOLID OXIDE FUEL CELLS AND HYDROGEN TECHNOLOGY Low Temperature Hydrogen Release from Borontetrahydride- Sodalite and Its Reloading: Observations in ln-situ and Ex-situ TIR Experiments 65 C. H. Ruscher, F. Stemme, L. Schomborg, and J.-Chr. Buhl Synthesis and Characterization in the New System Bi2(AI/Ga)40g and 180/160 Exchange Experiments 71 T. Debnath, C. H. Ruscher, P. Fielitz, S. Ohmann, and G. Borchardt Microstructure of Sm-Doped Ceria Interlayer and the Impedance of LaSrCoFeOa/SDC/LAMOX Half Cell 79 Yu-Chen Chen, Hun-Chieh Chang, Dah-Shyang Tsai, Wen-Hung Chung , and Minh-Vien Le CERAMICS FOR ELECTRIC ENERGY GENERATION, STORAGE AND DISTRIBUTION Environmental Impact Evaluation of Ceramics Using Exergy Analysis 95 Hideki Kita, Hideki Hyuga, and Naoki Kondo The Dynamic Characteristics of Ultrasonic Therapeutic Transducers Using Lead-Free Na05K05Nb03 Based Ceramics 105 Ming-Ru Yang, Sheng-Yuan Chu, Cheng-Che Tsai, Cheng-Shong Hong, and Chih-Lung Lin Direct In-Situ Growth of Multiwalled Carbon Nanotubes on Silicon Carbide Particles as a Precursor for Fabricating Silicon Carbide-Carbon Nanotube Composites 117 Amit Datye, Kuang-Hsi Wu, George Gomes, Latha Kumari, Wenzhi Li, and Hua-Tay Lin PHOTOCATALYTIC MATERIALS Effect of Functional Coatings on Topographical Properties of Glass 131 Minna Piispanen, Mikko Aromaa, Jyrki M. Makela, and Leena Hupa Skin Damage by Different Shapes of Photocatalyst Nanoparticles 141 Eiji Watanabe, Kaoru Nishizawa, Takeshi Miki, and Hiroshi Taoda Characterization of Crystallized Ti02 Film by Post Plasma Treatment 149 Toshiya Watanabe, Yukinobu Yokota, Naoya Yoshida, Yuko Shibayama, and Hisashi Ohsaki DIRECT THERMAL TO ELECTRICAL ENERGY CONVERSION MATERIALS Thermoelectric Properties of Oxygen Deficient La2-xSrxCu04.s Ceramics 163 Julio E. Rodriguez Author Index 171

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.258

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0770.022

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.192
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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