Tootfinder

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- Early Prediction of Current Quench Events in the ADITYA Tokamak using Transformer based Data Driv...
Jyoti Agarwal, Bhaskar Chaudhury, Jaykumar Navadiya, Shrich…

Effects of BHF-corrected effective mass on sound speed, conformality and observables of dark matter admixed neutron stars
Arijit Das, Prashanth Jaikumar, Adarsh Karekkat, Tanumoy Mandal
https://arxiv.org/abs/2506.15328

Effects of BHF-corrected effective mass on sound speed, conformality and observables of dark matter admixed neutron stars
We construct an equation of state describing cold and dense matter in the core of neutron stars which includes an admixture of fermionic dark matter and incorporates nucleon effective masses derived from the relativistic Brueckner-Hartree-Fock (BHF) many-body approach within a relativistic mean-field model. Such a BHF-informed mixed-model approach increases stellar compactness, with mass-radius configurations which are consistent with smaller, lighter pulsars. The model displays the expected no…

Unraveling the Biomarker Prospects of High-Altitude Diseases: Insights from Biomolecular Event Network Constructed using Text Mining
Balu Bhasuran, Sabenabanu Abdulkadhar, Jeyakumar Natarajan
https://arxiv.org/abs/2507.10953

Unraveling the Biomarker Prospects of High-Altitude Diseases: Insights from Biomolecular Event Network Constructed using Text Mining
High-altitude diseases (HAD), encompassing acute mountain sickness (AMS), high-altitude cerebral edema (HACE), and high-altitude pulmonary edema (HAPE), are triggered by hypobaric hypoxia at elevations above 2,500 meters. These conditions pose significant health risks, yet the molecular mechanisms remain insufficiently understood. In this study, we developed a biomolecular event extraction pipeline integrating supervised machine learning with feature-based and multiscale Laplacian graph kernels…

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My wife currently messages me the increasing number of noise sources at home:
Chainsaw to cut bushes, roadworks with jackhammer and rock cutting saw, and now the garbage truck beeping while reversing in our road.
I get a play-by-play description of what keeps her from sleeping in, and I'm torn between laughing, emphasizing and thinking "What happens if she goes all Michael Douglas in Falling Down?"

Seen near the bottom of a list:

Early Prediction of Current Quench Events in the ADITYA Tokamak using Transformer based Data Driven Models
Jyoti Agarwal, Bhaskar Chaudhury, Jaykumar Navadiya, Shrichand Jakhar, Manika Sharma
https://arxiv.org/abs/2507.12797

Early Prediction of Current Quench Events in the ADITYA Tokamak using Transformer based Data Driven Models
Disruptions in tokamak plasmas, marked by sudden thermal and current quenches, pose serious threats to plasma-facing components and system integrity. Accurate early prediction, with sufficient lead time before disruption onset, is vital to enable effective mitigation strategies. This study presents a novel data-driven approach for predicting early current quench, a key precursor to disruptions, using transformer-based deep learning models, applied to ADITYA tokamak diagnostic data. Using multiv…

How will we know when we have lost our democracy?
"But no one has ever defeated autocracy from the sidelines."

Role-Aware Language Models for Secure and Contextualized Access Control in Organizations
Saeed Almheiri, Yerulan Kongrat, Adrian Santosh, Ruslan Tasmukhanov, Josemaria Vera, Muhammad Dehan Al Kautsar, Fajri Koto
https://arxiv.org/abs/2507.23465

Role-Aware Language Models for Secure and Contextualized Access Control in Organizations
As large language models (LLMs) are increasingly deployed in enterprise settings, controlling model behavior based on user roles becomes an essential requirement. Existing safety methods typically assume uniform access and focus on preventing harmful or toxic outputs, without addressing role-specific access constraints. In this work, we investigate whether LLMs can be fine-tuned to generate responses that reflect the access privileges associated with different organizational roles. We explore t…