Time‑Structured Media: Optical Temporal Transfer & Behavioral Readout — Israel Field Protocols and Negev Bench Baselines (v2.4)

We present a conservative, preregistered framework to quantify temporal transfer in complex aero-bio-dust media and to test day-to-day behavioral associations. Using time-of-flight optics, we estimate a temporal transfer kernel h(τ)h(\tau)h(τ) from arrival-time distributions P(τ)P(\tau)P(τ) and derive three optical indices: (i) TOF broadening BBB (FWHM/SD ratio vs. reference), (ii) tail exponent μ\muμ (MLE on survival tails), and (iii) chromaticity CCC across wavelengths. In parallel, human Temporal Bisection / Duration Production tasks yield a TPI (PSE, slope, relative bias, CV), accompanied by a pupil/blink composite as an attentional proxy. A preregistered mixed model relates Δ\DeltaΔTPI to Δ\DeltaΔTII with environmental covariates (illumination, PM2.5_{2.5}2.5, temperature, humidity); two-sided tests with cluster-robust SEs and AR(1) checks are used. Bench baselines through Negev hypoliths/endoliths/biocrusts provide raw h(τ)h(\tau)h(τ) and chromatic signatures; an insect pilot probes mechanistic hypotheses without human inference. We make no causal or substance claims; associations and null outcomes are acceptable. All protocols, data schemas, and analysis code are prepared for open release to enable replication across seasons and sites.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-02
DOI
https://doi.org/10.5281/zenodo.17252855
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
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article

Time‑Structured Media: Optical Temporal Transfer & Behavioral Readout — Israel Field Protocols and Negev Bench Baselines (v2.4)

Zenodo (CERN European Organization for Nuclear Research)
Bacterial Identification and Susceptibility Testing
article

Time‑Structured Media: Optical Temporal Transfer & Behavioral Readout — Israel Field Protocols and Negev Bench Baselines (v2.4)

article en

Abstract

We present a conservative, preregistered framework to quantify temporal transfer in complex aero-bio-dust media and to test day-to-day behavioral associations. Using time-of-flight optics, we estimate a temporal transfer kernel h(τ)h(\tau)h(τ) from arrival-time distributions P(τ)P(\tau)P(τ) and derive three optical indices: (i) TOF broadening BBB (FWHM/SD ratio vs. reference), (ii) tail exponent μ\muμ (MLE on survival tails), and (iii) chromaticity CCC across wavelengths. In parallel, human Temporal Bisection / Duration Production tasks yield a TPI (PSE, slope, relative bias, CV), accompanied by a pupil/blink composite as an attentional proxy. A preregistered mixed model relates Δ\DeltaΔTPI to Δ\DeltaΔTII with environmental covariates (illumination, PM2.5_{2.5}2.5, temperature, humidity); two-sided tests with cluster-robust SEs and AR(1) checks are used. Bench baselines through Negev hypoliths/endoliths/biocrusts provide raw h(τ)h(\tau)h(τ) and chromatic signatures; an insect pilot probes mechanistic hypotheses without human inference. We make no causal or substance claims; associations and null outcomes are acceptable. All protocols, data schemas, and analysis code are prepared for open release to enable replication across seasons and sites.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
Bacterial Identification and Susceptibility Testing
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