Tootfinder

ReNiL: Relative Neural Inertial Locator with Any-Scale Bayesian Inference
Kaixuan Wu (School of Computer Science, Wuhan University, Wuhan, China, School of Cyber Science and Engineering, Wuhan University, Wuhan, China), Yuanzhuo Xu (School of Computer Science, Wuhan University, Wuhan, China), Zejun Zhang (University of Southern California, Los Angeles, United States), Weiping Zhu (School of Computer Science, Wuhan University, Wuhan, China), Steve Drew (Department of Electrical and Soft…

ReNiL: Relative Neural Inertial Locator with Any-Scale Bayesian Inference
Pedestrian inertial localization is key for mobile and IoT services because it provides infrastructure-free positioning. Yet most learning-based methods depend on fixed sliding-window integration, struggle to adapt to diverse motion scales and cadences, and yield inconsistent uncertainty, limiting real-world use. We present ReNiL, a Bayesian deep-learning framework for accurate, efficient, and uncertainty-aware pedestrian localization. ReNiL introduces Inertial Positioning Demand Points (IPDPs)…

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.

Mid-IR hyperspectral imaging with undetected photons
Marlon Placke, Chiara Lindner, Felix Mann, Inna Kviatkovsky, Helen M. Chrzanowski, Hendrik Bartolomaeus, Frank K\"uhnemann, Sven Ramelow
https://arxiv.org/abs/2507.07861

Mid-IR hyperspectral imaging with undetected photons
Sensing with undetected photons has become a vibrant, application-driven research domain with a special focus on the mid-infrared (mid-IR) wavelength region. Since the mid-IR contains spectral bands with highly specific and strong molecular absorbance signatures, often referred to as fingerprints, a multitude of different samples and their compositions can be detected and quantified spectroscopically. Enhancing this inherently sample alteration-free spectroscopic method with imaging capabilitie…

Theseus: A Distributed and Scalable GPU-Accelerated Query Processing Platform Optimized for Efficient Data Movement
Felipe Arambur\'u, William Malpica, Kaouther Abrougui, Amin Aramoon, Romulo Auccapuclla, Claude Brisson, Matthijs Brobbel, Colby Farrell, Pradeep Garigipati, Joost Hoozemans, Supun Kamburugamuve, Akhil Nair, Alexander Ocsa, Johan Peltenburg, Rub\'en Quesada L\'opez, Deepak Sihag, Ahmet Uyar, Dhruv Vats, Michael Wendt, Jignesh M. Patel, Rodrigo Arambur\'u

Theseus: A Distributed and Scalable GPU-Accelerated Query Processing Platform Optimized for Efficient Data Movement
Online analytical processing of queries on datasets in the many-terabyte range is only possible with costly distributed computing systems. To decrease the cost and increase the throughput, systems can leverage accelerators such as GPUs, which are now ubiquitous in the compute infrastructure. This introduces many challenges, the majority of which are related to when, where, and how to best move data around the system. We present Theseus -- a production-ready enterprise-scale distributed accelera…

Time multidimensional Markov Renewal chains -- An algebraic approach
Leonidas Kordalis, Samis Trevezas
https://arxiv.org/abs/2508.01891 https://arxiv.org/p…

Time multidimensional Markov Renewal chains -- An algebraic approach
In this study, a new extension of the Markov Renewal theory is introduced by allowing time to evolve in multiple dimensions. The resulting chains are referred to as multi-time Markov Renewal chains and since this extension is new, the state space is assumed to be finite to cover the theoretical framework of applications, where the possible number of states of a physical system is finite. The flexibility of Markov renewal theory is still present in multiple time dimensions by allowing the sojour…

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
Dani\"el Boeke, Cedrik Blommestijn, Rebecca N. Wray, Kalina Chupetlovska, Shangqi Gao, Zeyu Gao, Regina G. H. Beets-Tan, Mireia Crispin-Ortuzar, James O. Jones, Wilson Silva, Ines P. Machado
https://arxiv.org/abs/2508.21581

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
Recurrence risk estimation in clear cell renal cell carcinoma (ccRCC) is essential for guiding postoperative surveillance and treatment. The Leibovich score remains widely used for stratifying distant recurrence risk but offers limited patient-level resolution and excludes imaging information. This study evaluates multimodal recurrence prediction by integrating preoperative computed tomography (CT) and postoperative histopathology whole-slide images (WSIs). A modular deep learning framework wit…

A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation
Renjie Liang, Zhengkang Fan, Jinqian Pan, Chenkun Sun, Russell Terry, Jie Xu
https://arxiv.org/abs/2506.23584

A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation
Generating radiology reports from CT scans remains a complex task due to the nuanced nature of medical imaging and the variability in clinical documentation. In this study, we propose a two-stage framework for generating renal radiology reports from 2D CT slices. First, we extract structured abnormality features using a multi-task learning model trained to identify lesion attributes such as location, size, enhancement, and attenuation. These extracted features are subsequently combined with the…

Investigating the residuals in the $M_\bullet-M_*$ relation using the SIMBA cosmological simulation
Wenlin Ma, Weiguang Cui, Romeel Dav\'e, Daniel Angl\'es-Alc\'azar, Hong Guo
https://arxiv.org/abs/2508.04413

Investigating the residuals in the $M_\bullet-M_*$ relation using the SIMBA cosmological simulation
We study the scaling relation between the black hole and stellar mass ($M_\bullet-M_*$), diagnosing the residual $Δ\log(M_\bullet/M_\odot)$ ($Δ$) in this relation to understand the coevolution of the galaxy and black hole (BH) in the cosmological hydrodynamic simulation SIMBA. We showed that SIMBA can reproduce the observed $M_\bullet-M_*$ relation well with little difference between central and satellite galaxies. By using the median value to determine the residuals, we found that the residu…

radical renewal
#inspiration #BeBetter
https://muz4now.com/2012/radical-renewal/…

radical renewal
Stan Stewart - @muz4now

More than 80 percent of the occupied West Bank would become part of Israel,
according to a new annexation proposal drafted by Israeli Finance Minister Bezalel Smotrich on Monday. 
The hardline Minister presented a map showing all of the West Bank as a part of Israel,
including Bethlehem, the Jordan Valley, and the entire Palestinian countryside, while only six Palestinian cities
— Jenin, Tulkarem, Nablus, Jericho, Ramallah, and Hebron
— were marked as isolated gh…

The new Israeli map proposing to annex 80% of the West Bank, explained
Israeli Finance Minister Bezalel Smotrich released a map proposing to annex over 80% of the West Bank. He’s not far off from the rest of the Israeli political establishment — even the “pragmatic” opposition.