Tootfinder

Department of Homeland Security (DHS) Secretary Kristi Noem, whose department oversees FEMA’s work,
issued a new agency rule this year requiring all contracts and grants costing over $100,000 to be personally approved by her.
As floodwaters were rising in Texas, Noem failed to respond to such requests over the weekend,
taking four days to approve the spending that could have saved lives.
As of Wednesday evening, 120 people in Texas have been killed by the massive flo…

DHS Head Kristi Noem Prioritized Instagram Pics Over FEMA Requests for Response to Texas Floods
It took Noem four days to respond to requests from FEMA, delaying access to some search and rescue tools.

Analytical and numerical analysis of spillover effects in prioritized PrEP for HIV prevention
Chiara Piazzola, Salman Safdar, Alex Viguerie, Abba B. Gumel
https://arxiv.org/abs/2508.08035

Analytical and numerical analysis of spillover effects in prioritized PrEP for HIV prevention
Pre-exposure prophylaxis (PrEP) is a highly effective intervention for preventing HIV transmission, but its high cost and uneven uptake raise challenges. While spillover effects - wherein PrEP use in one group reduces infections in others - are known to occur, they remain poorly quantified and rarely guide policy. We develop and analyze a novel compartmental HIV model that stratifies the population into three interacting subgroups: heterosexual males (HETM), heterosexual females (HETF), and men…

Mahomes in Round 11? WRs, RBs prioritized in 8-team mock draft https://www.espn.com/fantasy/football/story/_/id/45700874/fantasy-football-mock-draft-2025-8-team-ppr

Automated UAV-based Wind Turbine Blade Inspection: Blade Stop Angle Estimation and Blade Detail Prioritized Exposure Adjustment
Yichuan Shi, Hao Liu, Haowen Zheng, Haowen Yu, Xianqi Liang, Jie Li, Minmin Ma, Ximin Lyu
https://arxiv.org/abs/2507.04922

Automated UAV-based Wind Turbine Blade Inspection: Blade Stop Angle Estimation and Blade Detail Prioritized Exposure Adjustment
Unmanned aerial vehicles (UAVs) are critical in the automated inspection of wind turbine blades. Nevertheless, several issues persist in this domain. Firstly, existing inspection platforms encounter challenges in meeting the demands of automated inspection tasks and scenarios. Moreover, current blade stop angle estimation methods are vulnerable to environmental factors, restricting their robustness. Additionally, there is an absence of real-time blade detail prioritized exposure adjustment duri…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Inconsistency Handling in Prioritized Databases with Universal Constraints: Complexity Analysis a...
Meghyn Bienvenu, Camille Bourgaux

Too many keep using WhatsApp while the company, Meta can not be trusted with your data.
https://arstechnica.com/security/2025/09/…

Former WhatsApp security boss in lawsuit likens Meta’s culture to a “cult”
Meta allegedly prioritized user growth over security, lawsuit said.

Establishing a Baseline of Software Supply Chain Security Task Adoption by Software Organizations
Laurie Williams, Sammy Migues
https://arxiv.org/abs/2509.08083 https://

Establishing a Baseline of Software Supply Chain Security Task Adoption by Software Organizations
Software supply chain attacks have increased exponentially since 2020. The primary attack vectors for supply chain attacks are through: (1) software components; (2) the build infrastructure; and (3) humans (a.k.a software practitioners). Software supply chain risk management frameworks provide a list of tasks that an organization can adopt to reduce software supply chain risk. Exhaustively adopting all the tasks of these frameworks is infeasible, necessitating the prioritized adoption of tasks.…

Leveraging GNN to Enhance MEF Method in Predicting ENSO
Saghar Ganji, Mohammad Naisipour
https://arxiv.org/abs/2508.07410 https://arxiv.org/pdf/2508.07410

Leveraging GNN to Enhance MEF Method in Predicting ENSO
Reliable long-lead forecasting of the El Nino Southern Oscillation (ENSO) remains a long-standing challenge in climate science. The previously developed Multimodal ENSO Forecast (MEF) model uses 80 ensemble predictions by two independent deep learning modules: a 3D Convolutional Neural Network (3D-CNN) and a time-series module. In their approach, outputs of the two modules are combined using a weighting strategy wherein one is prioritized over the other as a function of global performance. Sepa…

The UK's Online Safety Act shows the UK prioritized government control over improving safety, becoming a cautionary tale in internet regulation for democracies (Mike Masnick/Techdirt)
https://www.techdirt.com/2025/08…

Didn’t Take Long To Reveal The UK’s Online Safety Act Is Exactly The Privacy-Crushing Failure Everyone Warned About
Well, well, well. The “age assurance” part of the UK’s Online Safety Act has finally gone into effect, with its age checking requirements kicking in a week and a half ago. And what do you kno…

Kavanaugh began by accepting the government’s claim that one in 10 residents of LA is an undocumented immigrant.
There is no citation for this figure, and there’s some evidence that it’s wildly inaccurate.
But it undergirds Kavanaugh’s entire legal theory, so he wasn’t about to factcheck it!
“Not surprisingly given those extraordinary numbers,
US immigration officers have prioritized immigration enforcement in the Los Angeles area,”
he went on, noting
“t…

Brett Kavanaugh explains that SCOTUS really IS doing racism
He showed his whole hood.

The DOGE team, and Bisignano, have prioritized scoring quick wins that allow them to post triumphant tweets and press releases — especially, in the early months, about an essentially nonexistent form of fraud — while squandering the chance for systemic change at an agency that genuinely needs it.
They could have worked to modernize Social Security’s legacy software, the current and former staffers say. They could have tried to streamline the stupefying volume...

The Untold Saga of What Happened When DOGE Stormed Social Security
DOGE has ignored urgently needed reforms and upgrades at the Social Security Administration, according to dozens of insiders and 15 hours of candid interviews with the former acting chief of the agency, who admits he sometimes made things worse.

Mitigating Multi-Sequence 3D Prostate MRI Data Scarcity through Domain Adaptation using Locally-Trained Latent Diffusion Models for Prostate Cancer Detection
Emerson P. Grabke, Babak Taati, Masoom A. Haider
https://arxiv.org/abs/2507.06384

Mitigating Multi-Sequence 3D Prostate MRI Data Scarcity through Domain Adaptation using Locally-Trained Latent Diffusion Models for Prostate Cancer Detection
Objective: Latent diffusion models (LDMs) could mitigate data scarcity challenges affecting machine learning development for medical image interpretation. The recent CCELLA LDM improved prostate cancer detection performance using synthetic MRI for classifier training but was limited to the axial T2-weighted (AxT2) sequence, did not investigate inter-institutional domain shift, and prioritized radiology over histopathology outcomes. We propose CCELLA++ to address these limitations and improve cl…

Russia implements 'severe austerity' amid financial crisis: military spending prioritized over national projects: https://benborges.xyz/2025/07/17/russia-implements-severe-austerity-amid.html

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
https://arxiv.org/abs/2507.19102

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by incorporating retrieved information. Standard retrieval process prioritized relevance, focusing on topical alignment between queries and passages. In contrast, in RAG, the emphasis has shifted to utility, which considers the usefulness of passages for generating accurate answers. Despite empirical evidence showing the benefits of utility-based retrieval in RAG, the high computational cost of using LLMs for utility jud…

Zohran Mamdani’s apparent victory late Tuesday night represented a sharp rebuke of the Democratic Party establishment
It represented, he said, the ascendance of a new Democratic coalition, one that prioritized the needs of the working class over those of the elite.
“We have won because New Yorkers have stood up for a city they can afford,” he said.
“A city where they can do more than just struggle. One where those who toil in the night can enjoy the fruits of their labor in…

In Joyful Speech, Mamdani Vows to Work for ‘Each and Every New Yorker’
A crowd in Queens celebrated the triumph of Zohran Mamdani, the presumptive winner of the Democratic primary for mayor of New York City.

Tidal-Like Concept Drift in RIS-Covered Buildings: When Programmable Wireless Environments Meet Human Behaviors
Zi-Yang Wu, Muhammad Ismail, Jiliang Zhang, Jie Zhang
https://arxiv.org/abs/2507.14876

Tidal-Like Concept Drift in RIS-Covered Buildings: When Programmable Wireless Environments Meet Human Behaviors
Indoor mobile networks handle the majority of data traffic, with their performance limited by building materials and structures. However, building designs have historically not prioritized wireless performance. Prior to the advent of reconfigurable intelligent surfaces (RIS), the industry passively adapted to wireless propagation challenges within buildings. Inspired by RIS's successes in outdoor networks, we propose embedding RIS into building structures to manipulate and enhance building wire…

Design framework for programmable three-dimensional woven metamaterials
Molly Carton, James Utama Surjadi, Bastien F. G. Aymon, Carlos M. Portela
https://arxiv.org/abs/2507.14130 …

Design framework for programmable three-dimensional woven metamaterials
Mechanical metamaterials have continued to offer unprecedented tunability in mechanical properties, but most designs to date have prioritized attaining high stiffness and strength while sacrificing deformability. The emergence of woven lattices-three-dimensional networks of entangled fibers-has introduced a pathway to the largely overlooked compliant and stretchable regime of metamaterials. However, the design and implementation of these complex architectures has remained a primarily manual pro…

Drafting the Landscape of Computational Musicology Tools: a Survey-Based Approach
Jorge Junior Morgado Vega, Sachin Sharma, Federico Simonetta
https://arxiv.org/abs/2507.15590

Drafting the Landscape of Computational Musicology Tools: a Survey-Based Approach
Since the 60s, musicology has been increasingly impacted by computational tools in various ways, from systematic analysis approaches to modeling of creativity. This article presents a comprehensive assessment of the current state of Computational Musicology tools based on survey data collected from practitioners in the field. We gathered information on tool usage patterns, common analytical tasks, user satisfaction levels, data characteristics, and prioritized features across four distinct doma…

Frabjous: Deep Learning Fast Radio Burst Morphologies
Ajay Kumar, Ashish A. Mahabal, Shriharsh P. Tendulkar
https://arxiv.org/abs/2507.14854 https://

Frabjous: Deep Learning Fast Radio Burst Morphologies
The increasing field of view of radio telescopes and improved data processing capabilities have led to a surge in the detection of Fast Radio Bursts (FRBs). The discovery rate of FRBs is already a few per day and is expected to increase rapidly with new surveys coming online. The growing number of events necessitates prioritized follow-up due to limited multi-wavelength resources, requiring rapid and automated classification. In this study, we introduce Frabjous, a deep learning framework for a…