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Record W27721968 · doi:10.1039/c6md00121a

ZCZ-CDMA and OFDMA using M-QAM for broadband wireless communications: Research Articles

2004· article· en· W27721968 on OpenAlex
Jianfeng Weng, Tho Le‐Ngoc, Yinglin Xu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunications and Mobile Computing · 2004
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsMcGill University
FundersNational Center for Advancing Translational SciencesNational Institutes of Health
KeywordsMultipath propagationCode division multiple accessFadingComputer scienceOrthogonal frequency-division multiple accessElectronic engineeringWirelessOrthogonal frequency-division multiplexingComputer networkTelecommunicationsChannel (broadcasting)Engineering

Abstract

fetched live from OpenAlex

Drug development targeting fibroblast growth factor receptors (FGFRs) represents an emerging theme in the field of medicinal chemistry. Considering the fact that most of the currently identified FGFR agonists are long chain peptides with limited stability, the discovery of novel non-peptide FGFR ligands is still highly demanded. A linear one-bead-one-compound peptoid (oligomers of N-substituted glycine units) library with a theoretical diversity of 10<sup>6</sup> was designed and synthesized. Microarray-based screening led to the identification of four hit sequences <b>1</b>-<b>4</b> as FGFR1α ligands, which were further confirmed using both solution-phase and solid-phase binding assays. Western blot results indicated that peptoids <b>2</b>-<b>4</b> activated FGFR signaling pathways, resulting in increased levels of p-Akt and p-ERK in different cell lines. Our work discovered novel peptoid ligands as FGFR agonists, shedding new light on FGFR-based drug discovery.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0050.009
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.189
GPT teacher head0.428
Teacher spread0.239 · 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