Resonance in Microstrip Ring Resonator with Uniaxially Anisotropic Substrate and Superstrate Layers
Bibliographic record
Abstract
Abstract Resonance in annular-ring microstrip resonator with uniaxially anisotropic substrate and superstrate layers is analysed in Hankel Transform domain using immitance approach. Resonant frequency shift due to uniaxial anisotropy is firstly investigated for different anisotropy ratio values of substrate and superstrate layers with respect to each other. The results obtained indicate that resonant frequency of anisotropic resonator has higher or lower values as compared to isotropic case according to the adjustment of the layer anisotropies. Then, the effect of inclusion of air gap layer inserted between substrate and ground plane on the resonance characteristics is also investigated for different superstrate anisotropies. The overall results provide helpful design criterias for the more efficient operation of microstrip ring for communications and integrated circuit applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".