Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
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The mHz QPO in 1ES 1927+654 has persisted and stabilized at ~2.5 mHz with stable soft lags, no strong harmonic, and repeatable large-amplitude flux patterns, also seen in NuSTAR.
Bitcoin price power law is rejected on distributional series and not robust to time-origin shifts, but dominates medium-horizon forecasts against baselines because it avoids committing to specific wave shapes.
Proposes adaptive multiple importance sampling for robust Bayesian model evidence estimation under parameter non-identifiability, shown to outperform deterministic methods on ecological case studies while being cheaper than MCMC.
Discovery of extended GeV gamma-ray emission from AFGL 490, with the protostellar jet identified as the likely particle accelerator rather than stellar winds.
HONKAI identifies 193 dense cores in 16 clumps within three IRDCs, finding most have virial ratios >1 but mass-size relations below the massive star formation threshold and a steeper high-mass CMF slope.
A framework for cross-validation optimal feature selection in linear SVM classification is developed by reformulating the bilevel problem into a single-level mixed-integer optimization using LS-SVM, with simulation results indicating competitive performance.
DESI data on the GD-1 stream identifies a thin cold core and a hot cocoon with 30% of members whose dispersion is consistent with 11 Gyr of dark matter subhalo heating.
Three complementary metrics based on statistical heterogeneity and Minkowski functionals enable unsupervised selection of defect-representative images from IRT sequences without prior spatial knowledge.
XRISM spectroscopy of NGC 4388 shows the Fe Kα line arising from the torus, inner torus edge, and BLR at distinct radii, with absorption revealing a gravitationally bound failed wind.
Post-selection with DL or FBF after multi-objective GP search improves test-set performance over AIC/BIC baselines on noisy synthetic and real regression tasks, while using DL directly as fitness often causes premature convergence to overly simple models.
The assessment finds that standard TOA methods detect both symmetric and anti-symmetric Lamb modes in noise-free simulations, with noise mainly affecting early symmetric arrivals, and introduces frequency-domain thresholding in CWT plus local-minima AIC to improve robustness.
Reproducible experiments compute physical functions via a Church-Turing bridge, compatible with finite precision through computable analysis, while separating existence, computability, and protocol-independence questions.
Satellite NPP estimates are 2.5-4 times higher than high-frequency in situ bio-optical measurements at 56°N, with VGPM missing blooms due to Chl-a and BIO limited by P-I parameter assignment.
CMB-only data give f_EDE < 0.07 at 95% CL with no strong AEDE signal, while CMB+DESI yields f_EDE = 0.055^{+0.024}_{-0.047} at 68% CL and lowers Hubble tension to 2.6 sigma.
Swampland-motivated priors on the slope and field range of an exponential quintessence potential in a curved universe produce a mild shift in the best-fit value of spatial curvature Ω_k from Planck, DESI BAO, and supernova observations.
Segue 1 has a metallicity distribution with mean [Fe/H] = -2.52 dex and dispersion 0.59 dex showing no subpopulations, consistent with continuous star formation lasting less than 1 Gyr before reionization.
Environment-conditioned parametric regression on 12-month indoor LoRaWAN data reduces cross-validated RMSE from 8.23 dB to 7.38 dB and lowers the fade margin needed for 99% reliability from ~28 dB to 25.73 dB.
Observational constraints on a dark energy EoS parametrization in curved spacetime yield α ≈ 0.35 (0.56) and Ω_k0 that changes sign with ANN data reconstruction.
Analysis of an unidentified Fermi gamma-ray source shows inconclusive results with a mild spectral preference for dark matter annihilation over a pulsar origin.
A literature review that categorizes bias in LLMs, surveys evaluation and mitigation techniques, and discusses ethical implications.
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Data-Driven Automated Identification of Optimal Feature-Representative Images in Infrared Thermography Using Statistical and Morphological Metrics
Three complementary metrics based on statistical heterogeneity and Minkowski functionals enable unsupervised selection of defect-representative images from IRT sequences without prior spatial knowledge.