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radical renewal
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https://muz4now.com/2012/radical-renewal/…

radical renewal
Stan Stewart - @muz4now

Higher-Oder Splitting Schemes for Fluids with Variable Viscosity
Richard Schussnig, Niklas Fehn, Douglas Ramalho Queiroz Pacheco, Martin Kronbichler
https://arxiv.org/abs/2506.14424

Higher-Oder Splitting Schemes for Fluids with Variable Viscosity
This article investigates matrix-free higher-order discontinuous Galerkin (DG) discretizations of the Navier-Stokes equations for incompressible flows with variable viscosity. The viscosity field may be prescribed analytically or governed by a rheological law, as often found in biomedical or industrial applications. We compare several linearized variants of saddle point block systems and projection-based splitting time integration schemes in terms of their computational performance. Compared to…

Hydropower saps flows from the mighty Kern River. Rafters want their whitewater back.
https://www.latimes.com/environment/story/2025-07-06/kern-river-whitewater-rafting-hydropower
🆓

Boaters carry raft 16 miles to protest how hydropower saps Kern River
Whitewater rafters portaged a boat for 16 miles beside the Kern River, protesting the removal of water for a hydropower plant. The facility's license is up for renewal.

DAIEM: Decolonizing Algorithm's Role as a Team-member in Informal E-market
ATM Mizanur Rahman (University of Illinois Urbana-Champaign), Md Romael Haque (Purdue University Fort Wayne), Sharifa Sultana (University of Illinois Urbana-Champaign)
https://arxiv.org/abs/2506.12910

DAIEM: Decolonizing Algorithm's Role as a Team-member in Informal E-market
In Bangladesh's rapidly expanding informal e-market, small-scale sellers use social media platforms like Facebook to run businesses outside formal infrastructures. These sellers rely heavily on platform algorithms, not just for visibility, but as active collaborators in business operations. Drawing on 37 in-depth interviews with sellers, buyers, and stakeholders, this paper examines how people in informal e-markets perceive and interact with the algorithm as a "team member" that performs sales,…

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Muhammad Sukri Bin Ramli
https://arxiv.org/abs/2506.12093

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Tariff exemptions are fundamental to attracting Foreign Direct Investment (FDI) into the manufacturing sector, though the associated administrative processes present areas for optimization for both investing entities and the national tax authority. This paper proposes a conceptual framework to empower tax administration by leveraging a synergistic integration of Optical Character Recognition (OCR) and Large Language Model (LLM) technologies. The proposed system is designed to first utilize OCR …

Uniform asymptotics for a multidimensional renewal risk model with multivariate subexponential claims
Dimitrios G. Konstantinides, Jiajun Liu, Charalampos D. Passalidis
https://arxiv.org/abs/2506.11724

Uniform asymptotics for a multidimensional renewal risk model with multivariate subexponential claims
In this paper, we study a multidimensional risk model with a common renewal process and in the presence of a constant interest force. The claim sizes are independent and identically distributed random vectors, with the distribution of dependent components belonging to the class of multivariate subexponential distributions. We establish locally uniform asymptotic estimations for the entrance probability of the discounted aggregate claims into some rare sets, and further derive asymptotic estimat…

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Ronal Singh, Mohan Baruwal Chhetri, Surya Nepal, Cecile Paris
https://arxiv.org/abs/2506.09365

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Modern Security Operations Centres (SOCs) integrate diverse tools, such as SIEM, IDS, and XDR systems, offering rich contextual data, including alert enrichments, flow features, and similar case histories. Yet, analysts must still manually determine which of these contextual cues are most relevant when validating specific alerts. We introduce ContextBuddy, an AI assistant that learns from analysts' prior investigations to help them identify the most relevant context for new alerts. Rather than …

On Monday, Trump began his latest round of tariff threats, insisting that “we’re done” negotiating
as economists warned about a surge in consumer prices that could arise from taxing imports.
The White House also proceeded with its aggressive and legally contested plans to eliminate scores of federal regulations
and deport millions of migrants.
The immigration crackdown, in particular, could come to the detriment of many sectors, like agriculture, that rely heavily on …

Trump Takes Reins on U.S. Economy With Policy Bill and Tariffs Renewal
President Trump has achieved much of his agenda, leaving the fate of the economy squarely in his hands.

Input-to-state stability-based chemical reaction networks composition for molecular computations
Renlei Jiang, Yuzhen Fan, Di Fan, Chuanhou Gao, Denis Dochain
https://arxiv.org/abs/2506.12056

Input-to-state stability-based chemical reaction networks composition for molecular computations
Molecular computation based on chemical reaction networks (CRNs) has emerged as a promising paradigm for designing programmable biochemical systems. However, the implementation of complex computations still requires excessively large and intricate network structures, largely due to the limited understanding of composability, that is, how multiple subsystems can be coupled while preserving computational functionality. Existing composability frameworks primarily focus on rate-independent CRNs, wh…

Disordered pinning models with contact number constraint
Giambattista Giacomin, Marco Zamparo
https://arxiv.org/abs/2507.10707 https://

Disordered pinning models with contact number constraint
Disordered pinning models are statistical mechanics models built on discrete renewal processes: renewal epochs in this context are called \emph{contacts}. It is well known that pinning models can undergo a localization/delocalization phase transition: in the localized phase the typical density of contacts is positive and the largest gap between contacts is at most of the order of the logarithm of the size $n$ of the system, whereas the system is void of contacts in the delocalized phase. When d…