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Unlike most entries in Charles Messier's famous catalog of deep sky objects, M24 is not a bright galaxy, star cluster, or nebula. It's a gap in nearby, obscuring interstellar dust clouds that allows a view of the distant stars in the Sagittarius spiral arm of our Milky Way galaxy. Direct your gaze through this gap with binoculars or a small telescope and you are looking through a window over 300 light-years wide at stars some 10,000 light-years or more from Earth. Sometimes called the Small Sagittarius Star Cloud, M24's luminous stars stretch across this gorgeous interstellar scene. Spanning over four full moons on the sky toward the constellation Sagittarius, the telescopic field of view includes dark markings B92 and B93 near the center of M24, along with other clouds of dust and glowing nebulae toward the center of the Milky Way.
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The university's new electron microscopy facility opened in fall of 2025, offering atomic-level imaging and student-led research.
Brian Anderson and his students celebrated BYU's 150th birthday by blowing out candles using high-intensity focused sound waves.
Nobel Laureate Kip Thorne Inspires BYU Students with the Future of Gravitational-Wave Science
Four Decades Under the Stars: Honoring Dr. Mike Joner and the Legacy of West Mountain Observatory.

Selected Publications

Karen A. Della Corte and Dennis Della Corte (et al.)

Background

Recent personalized nutrition research has reported large inter-individual differences in postprandial glucose responses to identical foods, raising questions about whether these differences reflect food-specific personal effects or normal day-to-day variability in glucose tolerance.

Objectives

To quantify the relative contributions of measurement variability vs person-specific effects to inter-individual glycemic variation, and to define substitution thresholds for when glycemic index (GI) differences produce distinct physiological effects.

Methods

In this secondary analysis with simulated validation, data from 382 healthy adults (1,022 glucose reference tests, 1,116 food tests across 9 carbohydrate-rich foods) were analyzed using a direct comparison scaling model, in which an individual's food response equals their glucose reference response scaled by the food's average GI. Sensitivity analyses included single-reference predictions, restriction to participants with ≥3 reference tests, and exclusion of a protocol-deviating food.

Results

Predicted errors did not exceed the observed glucose reference test-retest variability (mean root mean square deviation [RMSD]: 0.78 vs. 1.02 mmol/L; Cohen's d = 0.54 [0.45, 0.63]), with ∼90% of predictions falling within each participant's own test-retest range. Bland-Altman analysis confirmed negligible systematic bias (-0.01 mmol/L). Synthetic datasets generated from glucose variability and average GI values reproduced observed response distributions without person-specific parameters. GI differences of ≥15 units produced reliably distinguishable responses in a given individual. All sensitivity analyses yielded equal or stronger effect sizes.

Conclusions

In healthy adults under standardized conditions, inter-individual variation in glycemic responses is predominantly accounted for by variability in day-to-day glucose tolerance, propagating through the GI ratio. The GI concept performs within the reproducibility limits of input data.

We present the ground-based imaging campaign and light curves of Markarian 817 as part of the multiwavelength monitoring program AGN STORM 2. Observations were carried out over 1.4 yr in the uBgVriz filters, with a median cadence of 0.4 day in the g band. Reverberation lags are measured using three methods (interpolated cross-correlation function (ICCF), Just Another Vehicle for Estimating Lags In Nuclei, and PyROA) with the Swift UVW2 band (1928 Å) as the reference light curve. The ICCF centroid lags range from 3.0 ± 0.8 days for the u band up to 7.9 ± 1.5 days for z, and are consistent with a τ ∝ λ4/3 dependence, the relation expected for lamppost reprocessing by a Shakura–Sunyaev disk. Lags measured with the other methods are systematically shorter, and deviate from a λ4/3 power-law spectrum at long wavelengths. The lags exceed thin-disk reprocessing predictions by factors of ∼3–6, similar to the “disk size discrepancy” seen in other Seyfert galaxies. We divide the campaign into three epochs with different levels of mean luminosity and X-ray obscuring column density and find that the lags vary by as much as a factor of 2 between epochs. The intrinsic spectral energy distribution is bluer and brighter during the first third of the campaign, and the longest continuum reverberation lags are obtained during that period. These results suggest that changes in ionizing luminosity can produce large variations in continuum lags on short timescales by altering the diffuse continuum luminosity emitted by the broad-line region (BLR) and/or obscuring outflow, although changes in obscuration between the central engine and BLR may also contribute to the lag variations.

Darin Ragozzine and Dallin Spencer (et al.)

We report on the observation and measurement of astrometry, photometry, morphology, and activity of the interstellar object 3I/ATLAS, also designated C/2025 N1 (ATLAS) with the NSF-DOE Vera C. Rubin Observatory. Comet 3I/ATLAS, the third known interstellar object, was discovered on UT 2025 July 1. Rubin Observatory had coincidentally collected images of the object’s region of the sky during routine commissioning. Facilitated by Rubin’s high resolution and large aperture, we successfully recovered object detections from Rubin observations spanning UT 2025 June 21 (10 days before discovery, when 3I/ATLAS was 4.5 au from the Sun) through the date of discovery, and we acquired additional images through UT 2025 July 20 as part of commissioning. We measure on-sky locations of 3I/ATLAS in Rubin ugrizy bands, with a typical precision of ∼70 mas, and briefly describe the reason this is coarser than our measured static source astrometric precision of ∼3 mas in Rubin images. We measure grizy magnitudes of 3I/ATLAS photometry at ∼0.01 mag precision, detecting no short-term photometric variability above 0.01 mag. We derive an estimated near-nucleus dust-to-nucleus scattering cross-sectional ratio of η ≳ 13 on UT 2025 July 2 based on Rubin photometry and an upper limit nucleus size computed from Hubble Space Telescope observations. We find Rubin colors of gr =  (0.657 ± 0.013) mag, ri =  (0.235 ± 0.018) mag, iz = (0.147 ±  0.042) mag, and zy =  (0.047 ± 0.052) mag. These data represent the earliest observations of this object by a large (≳8 m class) telescope and illustrate the type of measurements (and discoveries) Rubin’s Legacy Survey of Space and Time will provide after it begins in early 2026.

Joshua L. Ebbert and Dennis Della Corte

Artificial intelligence foundation models are increasingly deployed for prostate cancer Gleason grading, where GP3/GP4 distinction directly impacts treatment decisions (active surveillance vs. intervention). However, these models may achieve high validation accuracy by learning specimen-specific artifacts rather than generalizable biological features, limiting real-world clinical utility. We introduce PANDA-PLUS-Bench, a curated benchmark dataset derived from expertly annotated prostate biopsies designed specifically to quantify this failure mode. The benchmark comprises nine carefully selected whole slide images from nine unique patients containing diverse Gleason patterns, with non-overlapping tissue patches extracted at both 512 × 512 and 224 × 224-pixel resolutions across eight augmentation conditions. Using this benchmark, we evaluate seven foundation models (Virchow, Virchow2, UNI, UNI2, Phikon, Phikon-v2, and HistoEncoder) on their ability to separate biological signals from slide-level confounders. Our results reveal substantial variation in robustness across models: the Virchow models achieved the lowest slide-level encoding among large-scale models (slide ID accuracy: 80.7–81.0%), yet Virchow2 exhibited the lowest cross-slide accuracy (47.2%). HistoEncoder, trained specifically on prostate tissue, demonstrated the highest cross-slide accuracy (59.7%) and the strongest slide-level encoding (slide ID accuracy: 90.3%), suggesting tissue-specific training may enhance both biological feature capture and slide-specific signatures. All models exhibited measurable within-slide vs. cross-slide accuracy gaps, though the magnitude varied from 19.9 percentage points (HistoEncoder) to 26.9 percentage points (Phikon). We provide an open-source Google Colab notebook enabling researchers to evaluate additional foundation models against our benchmark using standardized metrics. PANDA-PLUS-Bench addresses a critical gap in foundation model evaluation by providing a purpose-built resource for robustness assessment in the clinically important context of Gleason grading.

Pyrochlore magnets of the form 𝑅2𝐵2O7, in which rare-earth ions on the 𝑅 site form a three-dimensional network of corner-sharing tetrahedra, provide a canonical setting for geometrical frustration. Ho-based pyrochlores host a dipolar spin-ice ground state, characterized by Ising moments constrained by the ice rules and elementary excitations analogous to magnetic monopoles. Here we examine how controlled chemical disorder influences this state by introducing site mixing on the nonmagnetic 𝐵 site in two compounds. Ho2GaSbO7 contains only Ga3+/Sb5+ charge disorder, whereas Ho2ScSbO7 exhibits both charge and substantial size disorder arising from the large ionic-radius mismatch between Sc3+ and Sb5+. Although both materials retain the pyrochlore structure, neutron-scattering measurements reveal a reduced correlation length for the 𝑅/𝐵-site cation ordering and enhanced local structural distortions in Ho2ScSbO7. Despite these structural differences, bulk thermodynamic measurements and magnetic diffuse scattering demonstrate that both systems exhibit the defining signatures of a dipolar spin-ice state. Low-energy inelastic neutron spectroscopy further uncovers broad magnetic excitations that develop within the dipolar spin-ice regime, a feature absent in pristine Ho pyrochlores and indicative of disorder-induced splitting of the non-Kramers ground-state doublet. Together, these results show that controlled disorder generates tunable transverse-field-driven quantum fluctuations in Ho-based pyrochlores, although the dipolar spin-ice state is remarkably robust to this disorder.

Eric Gibbs (et al.)

Borna disease virus 1 (BoDV-1) is a non-segmented negative-strand (NNS) RNA virus that uniquely replicates in the nucleus of mammalian host cells, in contrast to most NNS RNA viruses that replicate in the cytoplasm. The mechanisms underlying nuclear replication of BoDV-1 and related bornaviruses with their RNA-dependent RNA polymerase (RdRp) complexes remain poorly understood. Here, we report the 2.8 Å cryo-EM structure of the BoDV-1 RdRp complex, comprising the large (L) protein and tetrameric phosphoprotein (P). The L protein features an N-terminal superdomain containing the RdRp and GDP polyribonucleotidyltransferase (PRNTase, mRNA-capping enzyme) domains, along with three C-terminal appendages, including a methyltransferase-like domain. The RdRp initiates de novo RNA synthesis internally at the genomic promoter, producing 5′-triphosphorylated transcripts corresponding to the 5′ end of the anti-genome. P interacts with the fingers RdRp subdomain of L. Structure-guided mutagenesis shows that the residues involved in the L–P interaction are essential for efficient transcription initiation and, consequently, for viral gene expression. A flexible loop within the PRNTase domain, analogous to the rhabdovirus priming-capping loop, appears critical for transcription initiation. These findings provide the structural and functional insights into the BoDV-1 RdRp and support a shared evolutionary origin between nuclear and cytoplasmic NNS RNA viruses.