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Record W4249874100 · doi:10.1049/el.2020.0305

in brief

2020· article· en· W4249874100 on OpenAlexaboutno aff

Bibliographic record

VenueElectronics Letters · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWidebandElectrical engineeringBandwidth (computing)DetectorComputer sciencePiezoresistive effectAntenna (radio)Nonlinear systemElectronic engineeringPhysicsTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

PAGE 201 A pair of Chinese researchers present a differential piezoresistive wind speed sensor on a flexible substrate, using a pair of piezoresistors. When wind blows towards the device it flexes, causing an increase in resistance on the front surface and reducing the resistance on the back surface. The device is capable of measuring wind speeds of up to 20 m/s. PAGE 174 A collaboration of scientists from Algeria, Canada and the USA have developed a quarter cylindrical dielectric resonator antenna with circular polarisation, suitable for use in wideband MIMO systems. Measurements are in good agreement with simulation, the antenna displays wide-impedance bandwidth of 34% and axial ratio bandwidth of 24.4%. Diagram of the wind speed sensor in operation. PAGE 211 Prof Bilbault et al. introduce a study regarding applications of memristors in nonlinear diffusive networks, using a charge-controlled memristor model. To quantitatively understand the behaviour of the system, the group focuses on two cells: master and slave. The initial charge strongly affects the dynamics of charge transfer from master to slave cells. Geometry of antenna with top/side views of manufactured antenna (left) and designed antenna (right). PAGE 180 Researchers from Seoul National University, Republic of Korea, present an analysis on the frequency detection capability of the Alexander phase detector alongside a simple modified structure. The proposed Alexander phase-frequency detector achieves unilateral frequency acquisition without range limitation or a loop-switching problem, verified by simulation and measurement. 2D nonlinear network representation. PAGE 184 A pair of Italian researchers demonstrate the functionality of a tunable graphene attenuator, based on commercial graphene nanoplatelets, using simulated and measured results. The attenuator operates in the 1–5 GHz frequency band, with a maximum tunable dynamic range of up to 10 dB, almost twice that of comparable designs. Block diagram of proposed Alexander phase-frequency detector. Tunable attenuator, connected to bias-tees with graphene drop casted on the gap.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.351
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.6490.477

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 head0.022
GPT teacher head0.288
Teacher spread0.265 · 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.

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
Published2020
Admission routes1
Has abstractyes

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