Tootfinder

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training
Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert Ross, Shivaram Venkataraman
https://arxiv.org/abs/2507.11683

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training
Spatiotemporal graph neural networks (ST-GNNs) are powerful tools for modeling spatial and temporal data dependencies. However, their applications have been limited primarily to small-scale datasets because of memory constraints. While distributed training offers a solution, current frameworks lack support for spatiotemporal models and overlook the properties of spatiotemporal data. Informed by a scaling study on a large-scale workload, we present PyTorch Geometric Temporal Index (PGT-I), an ex…

ALMA reveals diverse dust-to-gas mass ratios and quenching modes in old quiescent galaxies
Giuliano Lorenzon, Darko Donevski, Allison W. S. Man, Michael Romano, Katherine E. Whitaker, Sirio Belli, Daizhong Liu, Minju M. Lee, Desika Narayanan, Arianna Long, Irene Shivaei, Ambra Nanni, Krzysztof Lisiecki, Prasad Sawant, Giulia Rodighiero, Ivana Damjanov, Junais, Romeel Dave, Ciro Pappalardo, Christopher Lovell, Mahmoud Hamed

ALMA reveals diverse dust-to-gas mass ratios and quenching modes in old quiescent galaxies
Recent discoveries of dust and molecular gas in quiescent galaxies (QGs) up to $z\sim3$ challenge the long-standing view that the interstellar medium depletes rapidly once star formation ceases, raising key questions of whether dust and gas co-evolve in QGs, and how their depletion links to stellar aging. We present deep Atacama Large Millimeter/submillimeter Array (ALMA) Band~6 continuum and CO(3--2) observations of 17 QGs at $z\sim0.4$ in the COSMOS field. Using the dust-to-molecular gas mass…

Effect of viscoelasticity on electrohydrodynamic drop deformation
Santanu Kumar Das (Department of Mechanical Engineering, Indian Institute of Technology, Guwahati, 781039, Assam, India), Sarika Shivaji Bangar (Department of Mechanical Engineering, Indian Institute of Science, Bangalore, 560012, Karnataka, India), Amaresh Dalal (Department of Mechanical Engineering, Indian Institute of Technology, Guwahati, 781039, Assam, India), Gaurav Tomar (Department of Mechanical Engineering, Indi…

Effect of viscoelasticity on electrohydrodynamic drop deformation
The impact of viscoelasticity on drop deformation in the presence of an electric field is investigated using both analytical and numerical methods. The study focuses on two configurations: a viscoelastic drop suspended in a Newtonian fluid and a Newtonian drop suspended in a viscoelastic medium. Oldroyd-B constitutive equation is employed to model constant viscosity viscoelasticity. Effect of Deborah number (ratio of polymer relaxation time to convective time scale) on drop deformation is studi…

Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
Shawnak Shivakumar, Jefferson Hernandez
https://arxiv.org/abs/2510.07337

Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
Wuchereria bancrofti, the parasitic roundworm responsible for lymphatic filariasis, permanently disables over 36 million people and places 657 million at risk across 39 countries. A major bottleneck for drug discovery is the lack of functional annotation for more than 90 percent of the W. bancrofti dark proteome, leaving many potential targets unidentified. In this work, we present a novel computational pipeline that converts W. bancrofti's unannotated amino acid sequence data into precise four…

AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
Snehasis Mukhopadhyay, Aryan Kasat, Shivam Dubey, Rahul Karthikeyan, Dhruv Sood, Vinija Jain, Aman Chadha, Amitava Das
https://arxiv.org/abs/2509.02133

AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
Large Language Models (LLMs) can inadvertently reflect societal biases present in their training data, leading to harmful or prejudiced outputs. In the Indian context, our empirical evaluations across a suite of models reveal that biases around caste and religion are particularly salient. Yet, most existing mitigation strategies are Western-centric and fail to address these local nuances. We propose AMBEDKAR, a framework inspired by the egalitarian vision of Dr B. R. Ambedkar, architect of the …

Crosslisted article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- Physical Principles of Size and Frequency Scaling of Active Cytoskeletal Spirals
Aman Soni, Shivani A. Yadav, Chaitanya A. Athale

Crosslisted article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Physical Principles of Size and Frequency Scaling of Active Cytoskeletal Spirals
Aman Soni, Shivani A. Yadav, Chaitanya A. Athale

Spectroscopic Reverberation Mapping for SARM: The Case of Mrk 1048 and Mrk 618
Shivangi Pandey, Suvendu Rakshit, S. Muneer, Jincen Jose, Ashutosh Tomar, Yan-Rong Li, Jian-Min Wang, C. S. Stalin, Jong-Hak Woo, Romain G. Petrov, James Leftley, Sebastian F. H\"onig, Amit Kumar Mandal, Tushar Ubarhande, Shu Wang, Michael Brotherton, Archana Gupta
https://

Spectroscopic Reverberation Mapping for SARM: The Case of Mrk 1048 and Mrk 618
Robust extragalactic distance measurements are crucial for resolving the persistent discrepancy in the value of the Hubble constant (H$_0$)). Active Galactic Nuclei (AGNs), through their compact and variable broad-line regions (BLRs), enable the determination of geometric distances when reverberation mapping (RM) is combined with spectroastrometry(SA). We report results from a spectroscopic RM campaign (October 2022 to March 2023) targeting two narrow-line Seyfert 1 galaxies, Mrk 1048 and Mrk 6…

A flat-mode perspective on the boson peak in amorphous solids
Shivam Mahajan, Long-Zhou Huang, Cunyuan Jiang, Yun-Jiang Wang, Massimo Pica Ciamarra, Jie Zhang, Matteo Baggioli
https://arxiv.org/abs/2509.06340

A flat-mode perspective on the boson peak in amorphous solids
The boson peak is a characteristic anomaly of amorphous solids broadly defined as a low-energy excess in the density of states and heat capacity compared to the textbook predictions of Debye theory. The origin of this anomaly has long been the subject of ongoing debate and remains a topic of active controversy. While remaining agnostic about the microscopic origin of the phenomenon, we propose that the boson peak (BP) may universally originate from a dispersionless, optic-like excitation, which…

Spin-dependent orbital selectivity and partial Kondo-screening in magnetically ordered Hund's metal
Shivani Bhardwaj, Sudhir K. Pandey
https://arxiv.org/abs/2510.02593 https…

Spin-dependent orbital selectivity and partial Kondo-screening in magnetically ordered Hund's metal
Hund's metallicity in 3$d$ transition metal oxides constitutes a rare class of compounds, since they have been long understood considering the dominance of Hubbard $U$. $\mathrm{LiV_2O_4}$\& $\mathrm{Sr_2CoO_4}$ belong to this rare class of metals; among them, $\mathrm{LiV_2O_4}$ has been the subject of extensive investigations for its unconventional heavy-fermion behavior, while studies on $\mathrm{Sr_2CoO_4}$ remain limited despite its anomalous ferromagnetic ground state. In this study, we r…