Bibliographic record
Abstract
PAGE 741 A low-loss hollow-core photonic crystal fibre (HV-PCF) which operates in the terahertz (THz) frequency range is proposed by researchers from Bangladesh. The HV-PCF has a total diameter of 2.75 mm and consists of a regular hexagonal lattice structure with four air-hole rings and a larger central air-hole. The fibre has an extremely low effective material loss of 0.0122 cm−1 obtained at 2.125 THz with 94% of air-core power fraction. PAGE 704 French and Canadian researchers present an air-filled substrate integrated waveguide (AFSIW) slot array antenna, for use in high-performance substrate integrated millimetre-wave systems. When compared with the conventional dielectric-filled SIW, the AFSIW design displays a narrower beam (44% and 18% narrower H- and E-plane half-power beamwidth), and enhanced efficiency (improved by 1.6%). Cross-section of hexagonal lattice structure of crystal fibre able to operate in THz range. PAGE 726 A balanced ring hybrid with arbitrary power division ratio was fabricated by embedding four half-wavelength microstrip lines in the single-ended ring hybrid. The design from China, displays arbitrary differential-mode power division, good common-mode suppression and low insertion loss and high realisable maximum k2. Air-filled substrate integrated waveguide slot array antenna. PAGE 717 An image-compressive sensing preprocessing algorithm is proposed by researchers from China. The collaboration reduced rank (CRR) algorithm is based on nonlocal sparsity and a nonlocal low-rank regularisation reconstruction algorithm (NLR-CS). The method outperforms current compressive sensing reconstruction methods in peak-signal-to-noise and visual perception. Photograph of balanced ring hybrid with arbitrary power division. PAGE 702 Researchers from Korea present a method for supressing surface waves on a microstrip antenna array at the millimetre-wave frequency. Complimentary split ring resonator (CSRR) structures are etched on the ground plane of a 10×2 microstrip array. Measured results show a gain improvement of 2.5 dB and a side lobe level reduction of 3.5 dB. Its light weight, low volume and thin profile make it suitable for radar applications. Image compressive sensing preprocessing algorithm proposed. Microstrip array antenna with etched on CSRR structures for supressing side waves.
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 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".