@article{21982,
  abstract     = {A floating Leidenfrost droplet exhibits curvature inversion of its underside, due to the balance of vapor pressure and surface tension. Using interferometric imaging, we find different behavior for a levitated hydrogel sphere. Curvature inversion is observed briefly just after deposition, but quickly gives way to a steady state with no inversion. We show the essential role of vaporization in shaping the underbelly of the hydrogel, where changes due to direct mass loss are more significant than the balance of vapor pressure and elastic forces.},
  author       = {Diaz Melian, Vicente L and Lenton, Isaac C and Binysh, Jack and Souslov, Anton and Waitukaitis, Scott R},
  issn         = {2470-0053},
  journal      = {Physical Review E},
  number       = {5},
  publisher    = {American Physical Society},
  title        = {{Geometry of the vapor layer under a Leidenfrost hydrogel sphere}},
  doi          = {10.1103/m7gr-2t6j},
  volume       = {113},
  year         = {2026},
}

@article{21983,
  abstract     = {Promoters and enhancers are cis-regulatory elements (CREs), DNA sequences that bind transcription factor (TF) proteins to up- or down-regulate target genes. Decades-long efforts yielded TF-DNA interaction models that predict how strongly an individual TF binds arbitrary DNA sequences and how individual binding events on the CRE combine to affect gene expression. These insights can be synthesized into a global, biophysically realistic, and quantitative genotype–phenotype map for gene regulation, a ‘holy grail’ for the application of evolutionary theory. A global map provides a rare opportunity to simulate the long-term evolution of regulatory sequences and pose several fundamental questions: How long does it take to evolve CREs de novo? How many non-trivial regulatory functions exist in sequence space? How connected are they? For which regulatory architecture is CRE evolution most rapid and evolvable? In this article, the first of a two-part series, we briefly review the pertinent modeling and simulation efforts for a unique system that enables close, quantitative, and mechanistic links between biophysics, as well as systems, synthetic, and evolutionary biology.},
  author       = {Mascolo, Elia and Körei, Reka E and Herrera-Álvarez, Santiago and Guet, Calin C and Crocker, Justin and Tkačik, Gašper},
  issn         = {1879-0380},
  journal      = {Current Opinion in Genetics & Development},
  publisher    = {Elsevier},
  title        = {{Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype–phenotype maps}},
  doi          = {10.1016/j.gde.2026.102483},
  volume       = {99},
  year         = {2026},
}

@unpublished{21994,
  abstract     = {Adaptive plant development is orchestrated, among others, by directional, intercellular transport of the phytohormone auxin. Self-organizing development, such as flexible vasculature formation, depends on so-called auxin canalization, manifested by the gradual formation of auxin transport channels through feedback between auxin signalling and transport. Herein, we identify MAKR6 as an important, novel component in this feedback. MAKR6 expression accumulates strongly in vascular cells and is tightly regulated by auxin via the Aux/IAA-ARF-WRKY23 transcriptional network. MAKR6 is required for auxin canalization-dependent processes, including leaf venation, vasculature regeneration, and de novo auxin channel formation from local auxin sources. Mechanistically, MAKR6 interacts with the PIN1 auxin transporter, modulating its trafficking and polarization. MAKR6 also associates with and integrates two key receptor-like kinase complexes involved in canalization, TMK1/4 and the CAMEL-CANAR. Together, our study establishes MAKR6 as a multifaceted regulator that couples transcriptional auxin signalling to PIN1 repolarization and coordinates multiple RLK-mediated signalling pathways during canalization. This provides mechanistic insights into auxin canalization and exemplifies a framework for exploring similar regulatory nodes in other developmental contexts.},
  author       = {Ge, Zengxiang and Koczka, Lilla and Mazur, Ewa and Molnar, Gergely and Vladimirtsev, Dmitrii and Kassem, Nada and Ait Ikene, Sara and Fiedler, Lukas and Friml, Jiří},
  booktitle    = {bioRxiv},
  title        = {{MAKR6 integrates TMK and CAMEL/CANAR signalling for auxin canalization in Arabidopsis}},
  doi          = {10.1101/2025.10.07.680881},
  year         = {2026},
}

@inproceedings{22129,
  abstract     = {Inside–outside classification is widely used for geometry processing tasks such as surface reconstruction, geometry completion,
and calculating signed distance fields. We introduce a new integral formulation of this problem, which assigns confidence
scores that points are inside or outside, given incomplete boundary geometry. Even though our geometric construction does
not appear in previous work, we show that it is unexpectedly linked to both the well-established generalized winding number
(GWN) and pseudonormal methods for geometry completion, and it provably reduces to either one of them for specific values
of a control parameter. The results obtained with our method frequently outperform screened Poisson surface reconstruction
(PSR), GWN, and the pseudonormal method in terms of quality, and are at least on par with them on all of our examples. Unlike
these methods, our algorithm naturally extends to the multi-label setting, in which regions with an arbitrary number of colors
or physical materials can be reconstructed, and non-manifold features such as T-junctions may appear in the interface and
boundary geometry},
  author       = {Wei, Ziyu  and Hafner, Christian and Kalinov, Aleksei and Synak, Peter and Wojtan, Christopher J},
  booktitle    = {Computer Graphics Forum},
  location     = {Bern, Switzerland},
  number       = {5},
  publisher    = {Wiley},
  title        = {{Circles of confidence for multi-label geometry completion}},
  doi          = {10.1111/cgf.70516},
  volume       = {45},
  year         = {2026},
}

@article{20840,
  abstract     = {Probing the possibility of entanglement generation through gravity offers a path to tackle the question of whether gravitational fields possess a quantum mechanical nature. A potential realization necessitates systems with low-frequency dynamics at an optimal mass scale, for which the microgram-to-milligram range is a strong contender. Here, after refining a figure-of-merit for the problem, we present a 1-milligram torsional pendulum operating at 18 Hz. We demonstrate laser cooling its motion from room temperature to 240 microkelvins, surpassing by over 20-fold the coldest motions attained for oscillators ranging from micrograms to kilograms. We quantify and contrast the utility of the current approach with other platforms. The achieved performance and large improvement potential highlight milligram-scale torsional pendulums as a powerful platform for precision measurements relevant to future studies at the quantum-gravity interface.},
  author       = {Agafonova, Sofya and Rosello, Pere and Mekonnen, Manuel and Hosten, Onur},
  issn         = {2399-3650},
  journal      = {Communications Physics},
  publisher    = {Springer Nature},
  title        = {{One-milligram torsional pendulum toward experiments at the quantum-gravity interface}},
  doi          = {10.1038/s42005-026-02514-w},
  volume       = {9},
  year         = {2026},
}

@phdthesis{20964,
  author       = {Vladimirtsev, Dmitrii},
  issn         = {2791-4585},
  pages        = {22},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Armadillo repeat only proteins are master regulators of plant cyclic-nucleotide gated channels}},
  doi          = {10.15479/AT-ISTA-20964},
  year         = {2026},
}

@article{20986,
  abstract     = {During complex vocal interactions, different features of acoustic stimuli are integrated to produce appropriate vocal responses,1 such as copying sounds during vocal matching behavior in some animals.2,3,4,5,6,7,8,9,10,11,12 However, little is known about the interplay and possible trade-offs between the different temporal and spectral acoustic features during these vocal exchanges.2,13,14 Nightingales can flexibly match the pitch of their tonal “whistle songs” in real time during counter-singing duels.15,16 Here, we show that the syllable duration of whistle playbacks could alter the song responses of wild nightingales, causing their whistle duration distribution to shift toward the presented stimulus duration. When exposed to whistle playbacks featuring unnatural combinations of pitch and duration, nightingales demonstrate a flexible trade-off between pitch matching and temporal imitation, yet they are constrained by their vocal repertoire. They selectively adapted their vocal responses to approximate these novel stimuli, aligning them with their natural whistle repertoire. We developed a computational model of nightingale whistle-matching behavior that revealed a hierarchical organization of acoustic feature production. During whistle matching, the feature integration process is constrained by the duration of syllables, and pitch matching follows within this temporal framework, forcing a trade-off between the two features. Our findings reveal a complex interplay between the spectral and temporal domains that shapes song-matching behavior.},
  author       = {Calderon Garcia, Juan Sebastian and Costalunga, Giacomo and Vogels, Tim P and Vallentin, Daniela},
  issn         = {1879-0445},
  journal      = {Current Biology},
  publisher    = {Elsevier},
  title        = {{Interplay between syllable duration and pitch during whistle matching in wild nightingales}},
  doi          = {10.1016/j.cub.2025.12.025},
  year         = {2026},
}

@phdthesis{20991,
  abstract     = {Rapid local adaptation to new environments is critical for species persistence, especially in introduced populations. The evolutionary success of these populations is fundamentally dictated by the organization of genetic variation—the genomic architecture—in the face of severe demographic constraints, such as the founder effects and genetic bottlenecks that frequently accompany colonization. A central question in evolutionary biology is whether rapid adaptation relies on major-effect loci, such as chromosomal inversions, or on many small-effect loci dispersed across the genome. Furthermore, the genomic architecture strongly influences the extent to which evolutionary outcomes are predictable. Using introduced populations of the marine snail, Littorina saxatilis, as a model, this thesis investigates how genetic variation and genomic structure drive adaptation following introduction. We employed a population genomics approach on experimentally and accidentally introduced populations to dissect the specific genomic features that underpin divergence in newly colonized environments.

In Chapter 2, we tested the predictability of local adaptation through an uncommon 30-year transplant experiment in nature. By distinguishing allele and chromosomal inversion frequency changes from neutral expectations, we found that evolutionary change was highly predictable at the macro-scale (phenotypes and chromosomal inversions), but less robust at the level of individual collinear loci. This result demonstrates that evolution can be predictable when a population possesses sufficient standing genetic variation (SGV), with chromosomal inversions acting as key integrated units that facilitate a rapid response to selection. Building on this, Chapter 3 applied whole-genome sequencing to three accidentally introduced populations (Venice, San Francisco, and Redwood City) to investigate their likely source and genomic patterns of divergence. We identified genomic regions of remarkable divergence potentially associated with local adaptation, and likely fuelled by SGV, while explicitly acknowledging the difficulty in disentangling selection signals from the genome-wide effects of demographic processes. Furthermore, we found that the divergence patterns relied extensively on the collinear genome in these introduced populations, and less clearly on the chromosomal inversions. This observation contrasts with local adaptation observed in the experimental system that relied on both collinear loci and highly selected chromosomal inversions, highlighting how demographic history and genomic architecture influence the detectable signature of local adaptation.

A major limitation to conducting large-scale comparative evolutionary studies is the lack of data standardization, which prevents the integration of community knowledge and high-resolution environmental and genetic data. Chapter 4 addresses this by developing a community database for the Littorina system. This platform implements standardized protocols for the integration of diverse phenotypic and environmental data from multiple Littorina species. Likewise, the platform also centralizes the availability of associated genomic data through links to external repositories. This database represents a crucial tool to test complex, large-scale evolutionary hypotheses.

Collectively, this thesis strongly reinforces the fundamental importance of SGV as the raw material for successful local adaptation, a conclusion supported by evidence in both experimental and accidental introductions. Furthermore, this work highlights the critical role of the genomic architecture—specifically chromosomal inversions—in driving the predictability and effectiveness of adaptive responses. Our findings underscore how the interplay between SGV and genomic architecture dictates the trajectory and detectability of evolution in colonizing populations, while simultaneously providing a necessary tool to advance comparative evolutionary genomics in emerging model organisms.},
  author       = {Garcia Castillo, Diego Fernando},
  isbn         = {978-3-99078-077-0},
  issn         = {2663-337X},
  pages        = {199},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{The genomic architecture of local adaptation in introduced populations}},
  doi          = {10.15479/AT-ISTA-20991},
  year         = {2026},
}

@article{21001,
  abstract     = {Copper chalcogenides offer high charge mobility and low lattice thermal conductivity but suffer from structural instability due to dynamic Cu+ migration. Here, we report a colloidal hot-injection synthesis of ternary cesium copper selenide (CsCu5Se3) nanocrystals (NCs), achieving precise control over phase, size, and morphology through tailored precursor-ligand modulation. This strategy enabled systematic exploration of stable and metastable Cs–Cu–Se phases and mechanistic investigation of nucleation and growth, providing insight into phase modulation and dimensional control at the nanoscale. CsCu5Se3 NCs exhibit low lattice thermal conductivity (∼0.5 Wm–1K–1) and an experimental zT of 0.27 at 718 K. Complementary first-principles calculations, consistent with experimental electronic and optical responses, predict a zT of 1.05 at 1000 K. These findings elucidate the formation dynamics of CsCu5Se3 and establish ABZ (A = alkali, B = metal, Z = chalcogen) NCs as tunable platforms for advanced functional applications.},
  author       = {Patil, Niraj Nitish and Wu, Ruiqi and Fiedler, Christine and Kapuria, Nilotpal and Nan, Bingfei and Navita, Navita and Cabot, Andreu and Ibáñez, Maria and Ryan, Kevin M. and Ganose, Alex M. and Singh, Shalini},
  issn         = {2380-8195},
  journal      = {ACS Energy Letters},
  number       = {1},
  pages        = {481--488},
  publisher    = {American Chemical Society},
  title        = {{Layered alkali-copper selenides: Deciphering thermoelectric properties and reaction pathways for nanostructuring β-CsCu5Se3}},
  doi          = {10.1021/acsenergylett.5c02909},
  volume       = {11},
  year         = {2026},
}

@article{21006,
  abstract     = {Modern experimental methods in programmable self-assembly make it possible to precisely design particle concentrations, shapes and interactions. However, more physical insight is needed before we can take full advantage of this vast design space to assemble nanostructures with complex form and function. Here we show how a substantial part of this design space can be quickly and comprehensively understood by identifying a class of thermodynamic constraints that act on it. These thermodynamic constraints form a high-dimensional convex polyhedron that determines which nanostructures can be assembled at high equilibrium yield and reveals limitations that govern the coexistence of structures. We validate our predictions through detailed, quantitative assembly experiments of nanoscale particles synthesized using DNA origami. Our results uncover physical relationships underpinning many-component programmable self-assembly in equilibrium and form the basis for robust inverse design, applicable to various systems from biological protein complexes to synthetic nanomachines.},
  author       = {Hübl, Maximilian and Videbæk, Thomas E. and Hayakawa, Daichi and Rogers, W. Benjamin and Goodrich, Carl Peter},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  publisher    = {Springer Nature},
  title        = {{A polyhedral structure controls programmable self-assembly}},
  doi          = {10.1038/s41567-025-03120-3},
  year         = {2026},
}

@article{21008,
  abstract     = {C(sp2)–heteroatom couplings operating via NiI/NiIII catalysis have emerged as an alternative to canonical Pd0/PdII systems that require complex ligand architectures. Despite intensive research efforts during the past decade, catalytic methods employing this approach are still mostly confined to activated starting materials and require high catalyst loadings due to the low catalytic activity of NiI and undesired catalyst deactivation events. This article highlights recent advances in the field toward solving these long-standing challenges. We survey strategies that streamline the generation of catalytically competent NiI species from bench-stable NiII precatalysts, and discuss mechanistic studies that shed light on deactivation pathways and the rate-determining oxidative addition of aryl halides. In the final section, we highlight recently developed synthetic methodologies, which provide evidence that limitations can indeed be addressed by working at elevated temperatures, employing alternative electrophiles, harnessing the benefits of additives, or fine-tuning the metal’s reactivity through the ligand field.},
  author       = {Bena, Aleksander and Pieber, Bartholomäus},
  issn         = {2155-5435},
  journal      = {ACS Catalysis},
  number       = {2},
  pages        = {866--881},
  publisher    = {American Chemical Society},
  title        = {{Advances in NiI/NiIII-catalyzed C(sp2)–heteroatom cross-couplings}},
  doi          = {10.1021/acscatal.5c07964},
  volume       = {16},
  year         = {2026},
}

@article{21013,
  abstract     = {We have addressed convective self‐aggregation (CSA) in steady and oscillating sea surface temperature (SST) and solar radiation (SOLIN) cloud‐resolving model simulations in a non‐rotating radiative‐convective equilibrium (RCE) framework. Our experiment designs are motivated by land‐ocean heterogeneity of atmospheric convection. The steady and oscillating forcings are idealizations of ocean and land conditions, respectively, based on their differences in heat capacities. In both kinds of simulations, the diurnal mean SST and SOLIN are the same, and both SST and SOLIN are only varied in time (i.e., they are spatially homogeneous at any given time). We find that diurnally oscillating forcing accelerates CSA. Stronger long‐wave cooling in dry regions at night and during the warm SST phase (late afternoon) both allow the long‐wave feedback, known to favor aggregation, to intensify compared to steady forcing simulations. In addition to the long‐wave, reduced short‐wave warming in dry regions (during the day) further enhances radiative cooling there compared to moist regions. Overall, the radiative cooling is enhanced in dry regions compared to neighboring moist convective regions. A dry subsidence is driven by this net radiative (short‐wave plus long‐wave) cooling, consistent with earlier work on CSA. Stronger radiative cooling allows stronger subsidence which allows low‐level circulation to more efficiently transport moisture and energy up‐gradient, driving convection to aggregate faster. We also note a sensitivity of our experimental setup to initial conditions, more so at warmer SST. This stochastic behavior might be critical in reconciling the differences of opinion regarding the response of convection aggregation to oscillating SST forcing.},
  author       = {GOSWAMI, BIDYUT B and Lu, Ziyin and Muller, Caroline J},
  issn         = {1942-2466},
  journal      = {Journal of Advances in Modeling Earth Systems},
  number       = {1},
  publisher    = {Wiley},
  title        = {{Convective self‐aggregation in diurnally oscillating sea surface temperature and solar forcing experiments}},
  doi          = {10.1029/2024ms004576},
  volume       = {18},
  year         = {2026},
}

@phdthesis{21021,
  abstract     = {This thesis examines how geometry and topology intersect in the representation, transformation, and analysis of complex shapes. It considers how continuous manifolds relate to their discrete analogues, how topological structures evolve in persistence vineyards, and how tools from topological data analysis can illuminate problems in mathematical physics. Central to this exploration is the question of how structure, both geometric and topological, persists or changes under approximation, sampling, or deformation. The work develops new approaches to skeletal and grid-based representations of surfaces, reveals the full expressive capacity of persistence vineyards, and applies topological methods to the longstanding problem of equilibria in electrostatic fields. These threads braid together into a broader understanding of how topology and geometry inform one another across theory, computation, and application.},
  author       = {Fillmore, Christopher D},
  issn         = {2663-337X},
  pages        = {122},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Braiding geometry and topology to study shapes and data}},
  doi          = {10.15479/AT-ISTA-21021},
  year         = {2026},
}

@article{21045,
  abstract     = {The abundant population of little red dots (LRDs), compact objects with red UV to optical colors and broad Balmer lines at high redshift, is revealing new insights into the properties of early active galactic nuclei (AGN). Perhaps the most surprising features of this population are the presence of Balmer absorption and ubiquitous strong Balmer breaks. Recent models link these features to an active supermassive black hole (SMBH) cocooned in very dense gas (NH ∼ 1024 cm−2). We present a stringent test of such models using VLT/MUSE observations of A2744-45924, the most luminous LRD known to date (LHα ≈ 1044 erg s−1), located behind the Abell-2744 lensing cluster at z = 4.464 (μ = 1.8). We detect a moderately extended Lyα nebula (h ≈ 5.7 pkpc), spatially offset from the point-like Hα seen by JWST by ≈1.6 pkpc. The Lyα emission is narrow (FWHM = 270 ± 15 km s−1), and faint (Lyα = 0.07Hα) compared to Lyα nebulae typically observed around quasars of similar luminosity. We detect compact N IV]λ1486 emission, spatially aligned with Hα, and a spatial shift in the far-UV continuum matching the Lyα offset. We discuss that Hα and Lyα have distinct physical origins: Hα originates from the AGN, while Lyα is powered by star formation. In the environment of A2744-45924, we identified four extended Lyα halos (Δz < 0.02, Δr < 100 pkpc). Their Lyα luminosities match the expectations based on Hα emission, and show no evidence for radiation from A2744-45924 affecting its surroundings. The lack of strong, compact, and broad Lyα and the absence of a luminous extended halo, suggest that the UV AGN light is obscured by dense gas cloaking the SMBH with a covering factor close to unity.},
  author       = {Torralba Torregrosa, Alberto and Matthee, Jorryt J and Pezzulli, Gabriele and Urrutia, Tanya and Gronke, Max and Mascia, Sara and D’Eugenio, Francesco and Di Cesare, Claudia and Eilers, Anna Christina and Greene, Jenny E. and Iani, Edoardo and Ishikawa, Yuzo and Mackenzie, Ruari and Naidu, Rohan P. and Navarrete, Benjamín and Kotiwale, Gauri},
  issn         = {1432-0746},
  journal      = {Astronomy and Astrophysics},
  publisher    = {EDP Sciences},
  title        = {{A weak Ly α halo for an extremely bright little red dot. Indications of enshrouded supermassive black hole growth}},
  doi          = {10.1051/0004-6361/202555596},
  volume       = {705},
  year         = {2026},
}

@misc{21137,
  author       = {Naik, Suyash},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Data associated with Keratins coordinate tissue spreading }},
  doi          = {10.15479/AT-ISTA-21137},
  year         = {2026},
}

@phdthesis{21198,
  abstract     = {In recent years there has been a massive increase in the amount of data generated in a
decentralized manner. Ever more powerful edge devices, such as smartphones, have become
ubiquitous in most societies on earth. Through text typed, photos taken and apps used,
these devices, which we refer to as clients, generate enormous amounts of high quality and
complex data. Moreover, the nature of these devices means the data they generate is often
sensitive and privacy concerns prevent it being gathered and stored in a central location. This
presents a challenge to the modern machine learning paradigm that requires central access
to large amounts of data. Federated learning (FL) has emerged as one of the answers to
this problem. Rather than bringing the data to the model, FL sends the model to the data.
Model training takes place on device, with periodically synchronized updates, allowing data to
remain locally stored. While this approach offers significant privacy advantages it comes with
its own set of unique challenges. These include: data heterogeneity, the notion that different
devices generate data in distinct ways which can negatively impact training dynamics; systems
heterogeneity, meaning that different devices may have differing hardware specifications; high
communication costs, which are induced by the repeated transferring of models over the
network and low device computational power, which limits the use of larger models on device.
In this thesis we present a range of methods for federated learning. We focus primarily on
the challenge of data heterogeneity, though the methods presented are designed to be well
adapted to the other challenges of a federated setting, such as the constraints of limited
compute and communication overhead. We first present a method for explicitly modeling client
data heterogeneity. The approach formulates clients as samples from a certain probability
distribution and infers the parameters of this distribution from the available training clients.
This learned distribution then represents the heterogeneity present among the clients and can
be sampled from in order to create new simulated clients that are similar to the real clients we
have observed so far. Following this we present two methods for directly dealing with data
heterogeneity through personalization. Highly heterogeneous client data distributions can mean
that learning a single global model becomes suboptimal, and some form of personalization of
models to each individual client is required. Our approaches are based around hypernetworks,
which we use to generate personalized model parameters without the need for additional
training or finetuning. In the first approach we focus on generating full parameterizations of
client models using learned embeddings of client data and labels, with a hypernetwork located
on the central server. In the second approach we address the more challenging scenario where
we want to generate a personalized model for a client without any label information. The
hypernetwork is trained to generate a low dimensional representation of a client’s personalized
model parameters, allowing it to be transferred to and run on the client devices. In our final
presented method, we change our focus and rather than aim to directly address the challenge
of data heterogeneity, we instead ensure we are unaffected by it. This is done in the context
of k-means clustering and we present a method for federated clustering with a focus on added
privacy guarantees.},
  author       = {Scott, Jonathan A},
  issn         = {2663-337X},
  pages        = {158},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Data heterogeneity and personalization in federated learning}},
  doi          = {10.15479/AT-ISTA-21198},
  year         = {2026},
}

@article{21234,
  abstract     = {In aged humans and mice, hypobranched glycogen aggregates, known as polyglucosan bodies (PGBs), accumulate in hippocampal astrocytes. While PGBs are linked to cognitive decline in neurological diseases, they remain largely unstudied in the context of typical aging. We show that PGBs arise in autophagy-dysregulated astrocytes in the aged hippocampus, with substantial variation among 32 inbred BXD mouse strains. Genetic mapping through quantitative trait locus analysis identified a major locus (Pgb1) that modulates hippocampal PGB burden. Extensive transcriptomic and proteomic datasets were produced for the aged hippocampus of the BXD family to investigate the mechanism by which the Pgb1 locus modulates PGB burden. We identified that Pgb1 contains allelic Smarcal1 and Usp37 variants and influences PGB burden through trans-regulation of mRNA and protein expression levels, including abundance of glycogen-mobilizing factor PYGB. Furthermore, comprehensive phenome-wide association scans, transcriptomic analyses, and direct behavioral testing demonstrated that cognition remains intact despite age-related PGB burden. A record of this paper’s transparent peer review process is included in the supplemental information.},
  author       = {Gómez-Pascual, Alicia and Glikman, Dow M and Ng, Hui Xin and Tomkins, James E. and Lu, Lu and Xu, Ying and Ashbrook, David G. and Kaczorowski, Catherine and Kempermann, Gerd and Killmar, John and Mozhui, Khyobeni and Ohlenschläger, Oliver and Aebersold, Rudolf and Ingram, Donald K. and Williams, Evan G. and Jucker, Mathias and Overall, Rupert W. and Williams, Robert W. and de Bakker, Dennis E.M.},
  issn         = {2405-4712},
  journal      = {Cell Systems},
  number       = {2},
  publisher    = {Elsevier},
  title        = {{The Smarcal1-Usp37 locus modulates glycogen aggregation in astrocytes of the aged hippocampus}},
  doi          = {10.1016/j.cels.2025.101488},
  volume       = {17},
  year         = {2026},
}

@article{21274,
  abstract     = {Many white dwarfs are observed in compact double white dwarf binaries, and through the emission of gravitational waves, a large fraction are destined to merge. The merger remnants that do not explode in a Type Ia supernova are expected to initially be rapidly rotating and highly magnetized. In this work, we present our discovery of the variable white dwarf ZTF J200832.79+444939.67, hereafter ZTF J2008+4449, as a likely merger remnant showing signs of circumstellar material without a stellar or substellar companion. The nature of ZTF J2008+4449 as a merger remnant is supported by its physical properties: it is hot (35 500 ± 300 K) and massive (1.12 ± 0.03 M
                    <jats:sub>⊙</jats:sub>
                    ), rapidly rotating with a period of ≈6.6 minutes, and likely possesses exceptionally strong magnetic fields (∼400−600 MG) at its surface. Remarkably, we detect a significant period derivative of (1.80 ± 0.09)×10
                    <jats:sup>−12</jats:sup>
                    s/s, indicating that the white dwarf is spinning down, and a soft X-ray emission that is inconsistent with photospheric emission. As the presence of a mass-transferring stellar or brown dwarf companion is excluded by infrared photometry, the detected spin-down and X-ray emission could be tell-tale signs of a magnetically driven wind or of interaction with circumstellar material, possibly originating from the fallback of gravitationally bound merger ejecta or from the tidal disruption of a planetary object. We also detect Balmer emission, which requires the presence of ionized hydrogen in the vicinity of the white dwarf, showing Doppler shifts as high as ≈2000 km s
                    <jats:sup>−1</jats:sup>
                    . The unusual variability of the Balmer emission on the spin period of the white dwarf is consistent with the trapping of a half ring of ionized gas in the magnetosphere of the white dwarf.
                  </jats:p>},
  author       = {Cristea, Andrei-Alexandru and Caiazzo, Ilaria and Cunningham, Tim and Raymond, John C. and Vennes, Stephane and Kawka, Adela and Desai, Aayush A and Miller, David R. and Hermes, J. J. and Fuller, Jim and Heyl, Jeremy and van Roestel, Jan and Burdge, Kevin B. and Rodriguez, Antonio C. and Pelisoli, Ingrid and Gänsicke, Boris T. and Szkody, Paula and Kenyon, Scott J. and Vanderbosch, Zach and Drake, Andrew and Ferrario, Lilia and Wickramasinghe, Dayal and Karambelkar, Viraj R. and Justham, Stephen and Pakmor, Ruediger and El-Badry, Kareem and Prince, Thomas and Kulkarni, S. R. and Graham, Matthew J. and Masci, Frank J. and Groom, Steven L. and Purdum, Josiah and Dekany, Richard and Bellm, Eric C.},
  issn         = {1432-0746},
  journal      = {Astronomy & Astrophysics},
  publisher    = {EDP Sciences},
  title        = {{A half ring of ionized circumstellar material trapped in the magnetosphere of a white dwarf merger remnant}},
  doi          = {10.1051/0004-6361/202556432},
  volume       = {706},
  year         = {2026},
}

@misc{21284,
  abstract     = {The advantageous characteristics attributed to the 19F nucleus have made it a popular target for NMR once again in recent years. Aside from solution NMR, an increasing number of studies have been conducted applying solid-state magic-angle-spinning NMR to fluorine-labeled samples. Here, the high chemical shift anisotropy and strong dipolar couplings can be utilized to get structural insights into proteins and measure long distances. Despite increasing popularity and promising benefits, the sensitivity of biomolecular 19F MAS NMR often suffers from slow longitudinal T1 relaxation and therefore long recycle delays. In this work, we expand paramagnetic doping, an approach commonly used to reduce proton T1 relaxation times, to 19F-labeled biological samples. We study the effect of Gd(DTPA) and Gd(DTPA-BMA) on 19F and 13C T1 and T2 relaxation in a [5-19F13C]-tryptophan-labeled protein via 19F-detected MAS NMR experiments. The observed paramagnetic relaxation enhancement substantially reduces measurement times of 19F MAS NMR experiments without compromising resolution. Additionally, we report the chemical-shift assignments of all four fluorotryptophan signals in the 12 × 39 kDa large protein using a mutagenesis approach.},
  author       = {Becker, Lea Marie and Schanda, Paul},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Research data for "Accelerated 19F biomolecular magic-angle spinning NMR with paramagnetic dopants"}},
  doi          = {10.15479/AT-ISTA-21284},
  year         = {2026},
}

@article{21295,
  abstract     = {Depending on the type of flow, the transition to turbulence can take one of two forms: either turbulence arises from a sequence of instabilities or from the spatial proliferation of transiently chaotic domains, a process analogous to directed percolation. The former scenario is commonly referred to as a supercritical transition and frequently encountered in flows destabilized by body forces, whereas the latter subcritical transition is common in shear flows. Both cases are inherently continuous in a sense that the transformation from ordered laminar to fully turbulent fluid motion is only accomplished gradually with flow speed. Here we show that these established transition types do not account for the more general setting of shear flows subject to body forces. The combination of the two continuous scenarios leads to the attenuation of spatial coupling; with increasing forcing amplitude, the transition becomes increasingly sharp and eventually discontinuous. We argue that the suppression of laminar–turbulent coexistence and the approach towards a discontinuous phase transition potentially apply to a broad range of situations including flows subject to, for example, buoyancy, centrifugal or electromagnetic forces.},
  author       = {Yang, Bowen and Zhuang, Yi and Yalniz, Gökhan and Vasudevan, Mukund and Marensi, Elena and Hof, Björn},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  publisher    = {Springer Nature},
  title        = {{Discontinuous transition to shear flow turbulence}},
  doi          = {10.1038/s41567-025-03166-3},
  year         = {2026},
}

