Nanostructured materials and systems : a collection of papers presented at the 8th Pacific Rim Conference on Ceramic and Glass Technology, May 31-June 5, 2009, Vancouver, British Columbia
Bibliographic record
Abstract
Preface. Introduction. Hydrogen Permeable Membranes from Palladium Coated Anodic Alumina (Ian Brown, Jeremy Wu, Melanie Nelson, Mark Bowden, and Tim Kemmitt). Softening of Rare Earth Orthophosphates by Transformation Plasticity: Possible Applications to Fiber-Matrix Interphases in Ceramic Composites (R. S. Hay, G. Fair, E. E. Boakye, P. Mogilevsky, T. A. Parthasarathy, and J. Davis). Solvothermal Synthesis of Gadolinium Hydroxide and Oxide Powders and Their Potential for Biomedical Applications (Eva Hemmer, Yvonne Kohl, Sanjay Mathur, Hagen Thielecke, and Kohei Soga). CVD Grown Semiconductor Nanowires: Synthesis, Properties and Challenges (J. Pan, H. Shen, and S. Mathur). Nanowires as Building Blocks of New Devices: Present State and Prospects (F. Hernandez-Ramirez, J. D. Prades, R. Jimenez-Diaz, S. Barth, A. Cirera, A. Romano-Rodriguez, S. Mathur, and J. R. Morante). Preparation of TiO2-Nanoparticles-Thin Films by Electrophoresis Deposition Method (Kazuatsu Ito, Yuuki Sato, Motonari Adachi, and Shinzo Yoshikado). Effect of Nano-Silica on Acid Resistance Properties of Enamel and Its Connection to Energy Saving (Majid Jafari and Javad Sarraf). Immobilization of Myoglobin with Regenerated Silk Fibroin/MWCNTs on Screen-Printed Electrode: Direct Electrochemistry and Electrocatalysis of H2O2 (Lei Zhang, Lei Shi, Wei Song, and Yi-Tao Long). Liquid Phase Patterning and Morphology Control of Metal Oxides (Yoshitake Masuda). Role of Nano-Structured Domain Derived from Organically Modified Silicate in Electrocatalysis (P. C. Pandey, D. S. Chauhan, and V. Singh). Individual Metal Oxide Nanowires in Chemical Sensing: Breakthroughs, Challenges and Prospects (J. D. Prades, R. Jimenez-Diaz, F. Hernandez-Ramirez, A. Cirera, A. Romano-Rodriguez, S. Mathur, and J. R. Morante). Preparation and Their Mechanical Properties of Al2O3/Ti Composite Materials (Enrique Rocha-Rangel, Elizabeth Refugio-Garcia, Jose G. Miranda-Hernandez, Eduardo Terres-Rojas, and Sebastian Diaz de la Torre). Biphasic Nano-Materials and Applications in Life Sciences: 1D Al/Al2O3 Nanostructures for Improved Neuron Cell Culturing (M. Veith, O. C. Aktas, J. Lee, M. M. Miro, C. K. Akkan). Bioactive Glass-Ceramic/Mesoporous Silica Composite Scaffolds for Bone Grafting and Drug Release (Enrica Verne, Francesco Baino, Marta Miola, Giorgia Novajra, Renato Mortera, Barbara Onida, Chiara Vitale-Brovarone). Comparison of Oxide and Nitride Thin Films Electrochemical Impedance Measurements and Materials Properties (Y. Liu, C. Qu, R.E. Miller, D.D. Edwards, J.H. Fan, P .Li, E. Pierce, A. Geleil, G. Wynick, and X. W. Wang). Synthesis of PbTe Nanowires with Enhanced Seebeck Coefficient (Wenwen Zhou, Hao Cheng, Aidong Li, Huey Hoon Hng, Jan Ma, and Qingyu Yan). Author Index.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.060 | 0.020 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".