Tootfinder

One of the main means and purposes of this comprehensive dossier-building is to pass those details to Google who, along with Facebook, hold probably the largest set of surveillance files in the world.
Note at the top that the cookie notice urges us to check out both the daft.ie privacy notice and the Google Privacy Policy.
Daft is so deeply integrated into the Google advertising surveillance machine, you can’t separate one from the other.

Simulating nearby disc galaxies on the main star formation sequence I. Bar formation and the building of the central gas reservoir
Pierrick Verwilghen, Eric Emsellem, Florent Renaud, Milena Valentini, Jiayi Sun, Sarah Jeffreson, Ralf S. Klessen, Mattia C. Sormani, Ashley. T. Barnes, Klaus Dolag, Kathryn Grasha, Fu-Heng Liang, Sharon Meidt, Justus Neumann, Miguel Querejeta, Eva Schinnerer, Thomas G. Williams

Simulating nearby disc galaxies on the main star formation sequence I. Bar formation and the building of the central gas reservoir
Past studies have long emphasised the key role played by galactic stellar bars in the context of disc secular evolution, via the redistribution of gas and stars, the triggering of star formation, and the formation of prominent structures such as rings and central mass concentrations. However, the exact physical processes acting on those structures, as well as the timescales associated with the building and consumption of central gas reservoirs are still not well understood. We are building a su…

I just arrived at @… in Hannover to attend the Research Knowledge Graph Symposium and the 5th anniversary of @….
Currently listening to the keynote of @…

Synevo medical lab says it reached agreement with authorities over building seizure: https://benborges.xyz/2024/02/29/synevo-medical-lab.html

This https://arxiv.org/abs/2302.02670 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Random Forests for time-fixed and time-dependent predictors: The DynForest R package
The R package DynForest implements random forests for predicting a continuous, a categorical or a (multiple causes) time-to-event outcome based on time-fixed and time-dependent predictors. The main originality of DynForest is that it handles time-dependent predictors that can be endogeneous (i.e., impacted by the outcome process), measured with error and measured at subject-specific times. At each recursive step of the tree building process, the time-dependent predictors are internally summariz…

I've been reading Ray Dailo's "Principles for dealing with the changing world order" in which he charts the rise and fall of empires and kingdoms and dynasties.
The main cycle, he reckons is:
1) Winner of a war consolidates power, unites the population (often through oppression)
2) A smart cooperative equitable educated society with meritocracy means good societal progress and wide sharing of the wealth.
3) Long period of peace, building good tech and military and financial systems.
4) Leadership corrupts: Excessive debt, money-printing, inequality, financial ruin, no sense of solidarity, then a natural disaster pushes it over the edge
5) The fall: Escalating rebellions, very bad inequality, internal conflicts
6) Civil war, revolution, eventually a strong leader proves the winner and back to 1.
We in the western civilization are very clearly in the late states of this kind of cycle, and it's frankly terrifying with the weapons we have these days when it comes to a war.
The leadership is too corrupt to try and fix the inequality or invest in that well educated, equitable, cooperative society.
He explicitly agrees with Marx and implicitly with me a lot more than I'd have expected from the rabid capitalist that Ray Dailo is.
It's interesting to hear his emphasis on inequality and how a prosperous society depends upon sharing the gains of prosperity widely. You tend to hear hyper-capitalists mostly emphasizing that capital's gains should go to capital, and Ray is certainly suggesting the opposite here. That if that happens, it corrupts the leadership and ends with cronyism and debt and revolution.
We seem to basically agree what creates good prosperous peaceful civil society, and that capitalism in the Anglican world isn't doing it, and that fucked up corrupt government is why we aren't doing it.
We'd offer fairly different prescriptions though I think.
#reading #books #economics

Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare
Elisa Rubegni, Omran Ayoub, Stefania Maria Rita Rizzo, Marco Barbero, Guenda Bernegger, Francesca Faraci, Francesca Mangili, Emiliano Soldini, Pierpaolo Trimboli, Alessandro Facchini
https://arxiv.org/abs/2404.04638…

Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare
The widespread use of Artificial Intelligence-based tools in the healthcare sector raises many ethical and legal problems, one of the main reasons being their black-box nature and therefore the seemingly opacity and inscrutability of their characteristics and decision-making process. Literature extensively discusses how this can lead to phenomena of over-reliance and under-reliance, ultimately limiting the adoption of AI. We addressed these issues by building a theoretical framework based on th…

The latest casualty of the power issues yesterday was the building HVAC. That explains why we woke up a bit chilly this morning.
The lab mini-split seems to have survived OK, but the main heat pump for the house has something very unhappy. The 24VAC rail to the control electronics is measuring a few hundred mV and the 240VAC input is measuring 16V (likely ghost voltage coupling around a blown fuse or something).
I don't know my way around the wiring of the system enough to tr…

Essential annuli in genus two handlebody exteriors
Yuya Koda, Makoto Ozawa, Yi-Sheng Wang
https://arxiv.org/abs/2404.04503 https://ar…

Essential annuli in genus two handlebody exteriors
We classify all potential configurations of essential annuli in a genus two atoroidal handlebody exterior in the $3$-sphere, building on two recent classifications: the classification of the JSJ-graph of the exterior and the classification of essential annuli in the exterior. In contrast to knots, genus two handlebody exteriors may contain infinitely many non-isotopic essential annuli, due to the JSJ-graph classification. Our main result characterizes the numbers of different types of essential…

This https://arxiv.org/abs/2307.03784 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions
This paper introduces NeuroBlend, a novel neural network architecture featuring a unique building block known as the Blend module. This module incorporates binary and fixed-point convolutions in its main and skip paths, respectively. There is a judicious deployment of batch normalizations on both main and skip paths inside the Blend module and in between consecutive Blend modules. Additionally, we present a compiler and hardware architecture designed to map NeuroBlend models onto FPGA devices, …

There are quite a few lessons to be learned here (and no, Excel as such isn't the main problem)
https://tech.slashdot.org/story/24/03/20/2142229/formula-1-chief-appalled-to-find-team-using-excel-to-ma…

This https://arxiv.org/abs/2404.01625 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
Local differential privacy (LDP) is a strong privacy standard that has been adopted by popular software systems. The main idea is that each individual perturbs their own data locally, and only submits the resulting noisy version to a data aggregator. Although much effort has been devoted to computing various types of aggregates and building machine learning applications under LDP, research on fundamental perturbation mechanisms has not achieved significant improvement in recent years. Towards a…

This https://arxiv.org/abs/2203.14859 has been replaced.
link: https://scholar.google.com/scholar?q=a

FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example
FaaS (Function-as-a-Service) revolutionized cloud computing by replacing persistent virtual machines with dynamically allocated resources. This shift trades locality and statefulness for a pay-as-you-go model more suited to variable and infrequent workloads. However, the main challenge is to adapt services to the serverless paradigm while meeting functional, performance, and consistency requirements. In this work, we push the boundaries of FaaS computing by designing a serverless variant of Zoo…

Raiffeisen Bank Must Leave Russia: Join Our 4 April Demonstration in Brussels: https://benborges.xyz/2024/03/29/raiffeisen-bank-must.html

This https://arxiv.org/abs/2312.17183 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
In this study, we focus on building up a model that aims to Segment Anything in medical scenarios, driven by Text prompts, termed as SAT. Our main contributions are three folds: (i) for dataset construction, we combine multiple knowledge sources to construct the first multi-modal knowledge tree on human anatomy, including 6502 anatomical terminologies; Then we build up the largest and most comprehensive segmentation dataset for training, by collecting over 22K 3D medical image scans from 72 seg…

A Lagrangian approach for solving an axisymmetric thermo-electromagnetic problem. Application to time-varying geometry processes
Marta Ben\'itez, Alfredo Berm\'udez, Pedro Font\'an, Iv\'an Mart\'inez, Pilar Salgado
https://arxiv.org/abs/2403.04377

A Lagrangian approach for solving an axisymmetric thermo-electromagnetic problem. Application to time-varying geometry processes
The aim of this work is to introduce a thermo-electromagnetic model for calculating the temperature and the power dissipated in cylindrical pieces whose geometry varíes with time and undergoes large deformations; the motion will be a known data. The work will be a first step towards building a complete thermoelectromagnetic-mechanical model suitable for simulating electrically assisted forming processes, which is the main motivation of the work. The electromagnetic model will be obtained from …

This https://arxiv.org/abs/2402.01810 has been replaced.
link: https://scholar.google.com/scholar?q=a

Parameter uncertainties for imperfect surrogate models in the low-noise regime
Bayesian regression determines model parameters by minimizing the expected loss, an upper bound to the true generalization error. However, the loss ignores misspecification, where models are imperfect. Parameter uncertainties from Bayesian regression are thus significantly underestimated and vanish in the large data limit. This is particularly problematic when building models of low-noise, or near-deterministic, calculations, as the main source of uncertainty is neglected. We analyze the genera…

An Online Framework for Fitting Fast Transient Lightcurves
Tyler Barna, Brandon Reed, Igor Andreoni, Michael W. Coughlin, Tim Dietrich, Steven L. Groom, Theophile Jegou du Laz, Peter T. H Pang, Josiah N. Purdum, Ben Rusholme
https://arxiv.org/abs/2404.17515

An Online Framework for Fitting Fast Transient Lightcurves
The identification of extragalactic fast optical transients (eFOTs) as potential multi-messenger sources is one of the main challenges in time-domain astronomy. However, recent developments have allowed for probes of rapidly-evolving transients. With the increasing number of alert streams from optical time-domain surveys, the next paradigm is building technologies to rapidly identify the most interesting transients for follow-up. One effort to make this possible is the fitting of objects to a v…

Homeomorphism groups of telescoping 2-manifolds are strongly distorted
Nicholas G. Vlamis
https://arxiv.org/abs/2403.03887 https://ar…

Homeomorphism groups of telescoping 2-manifolds are strongly distorted
Building on the work of Mann and Rafi, we introduce an expanded definition of a telescoping 2-manifold and proceed to study the homeomorphism group of a telescoping 2-manifold. Our main result shows that it is strongly distorted. We then give a simple description of its commutator subgroup, which is index one, two, or four depending on the topology of the manifold. Moreover, we show its commutator subgroup is uniformly perfect with commutator width at most two, and we give a family of uniform n…

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
https://arxiv.org/abs/2404.01625

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
Local differential privacy (LDP) is a strong privacy standard that has been adopted by popular software systems. The main idea is that each individual perturbs their own data locally, and only submits the resulting noisy version to a data aggregator. Although much effort has been devoted to computing various types of aggregates and building machine learning applications under LDP, research on fundamental perturbation mechanisms has not achieved significant improvement in recent years. Towards a…

Elementary considerations on gravitational waves from hyperbolic encounters
Martin Teuscher, Aur\'elien Barrau, Killian Martineau
https://arxiv.org/abs/2402.10706

Elementary considerations on gravitational waves from hyperbolic encounters
We examine the main properties of gravitational waves (GWs) emitted by transient hyperbolic encounters of black holes. We begin by building the set of basic variables most relevant to setting our problem. After exposing the ranges of masses and eccentricities accessible at a given GW frequency, we analyze the dependence of the gravitational strain on those parameters and determine the trajectories resulting in the most sizeable strains. Some non-trivial behaviors are unveiled, showing that high…

p-composites of the main sequence of odd numbers as building blocks for $\pi(x)$
Yuri Heymann
https://arxiv.org/abs/2403.09642 https://

p-composites of the main sequence of odd numbers as building blocks for $π(x)$
The prime-counting function $π(x)$ which returns the number of primes smaller or equal to a given number is a topic of interest in number theory. An algorithm based on a cyclic group isomorphic to $Z/nZ$, the so-called $Z$-functions, was proposed in view to outperform its pieers. The approach suggests a time complexity $\mathcal{O}(x^{1/2})$ in agreement with optimality of a 2-D squared adaptive-recursive algorithm. The present work is a presentation of various approaches as ascending factoriz…

This https://arxiv.org/abs/2306.01510 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Recipes to compute the algebraic K-theory of Hecke algebras of reductive p-adic groups
We compute the algebraic K-theory of the Hecke algebra of a reductive p-adic group G using the fact that the Farrell-Jones Conjecture is known in this context. The main tool will be the properties of the associated Bruhat-Tits building and an equivariant Atiyah-Hirzebruch spectral sequence. In particular the projective class group can be written as the colimit of the projective class groups of the compact open subgroups of G.

This https://arxiv.org/abs/2401.05526 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Arithmetic, interpolation and factorization of amalgams
Building upon Bennett's and Grosse-Erdmann's ideas falling under the conceptual umbrella of factorization of inequalities, we propose a unified approach towards the structure of certain Banach ideal spaces defined in terms of the least decreasing majorant. The key to our results, and, it seems, the main novelty in general, is the synthesis of discretization process, usually called the blocking technique, along with some tools from the interpolation theory. This blend allows us to obtain an abst…

Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Andr\'es Bell-Navas, Nourelhouda Groun, Mar\'ia Villalba-Orero, Enrique Lara-Pezzi, Jes\'us Garicano-Mena, Soledad Le Clainche
https://arxiv.org/abs/2404.19579 https://arxiv.org/pdf/2404.19579
arXiv:2404.19579v1 Announce Type: new
Abstract: Heart diseases are the main international cause of human defunction. According to the WHO, nearly 18 million people decease each year because of heart diseases. Also considering the increase of medical data, much pressure is put on the health industry to develop systems for early and accurate heart disease recognition. In this work, an automatic cardiac pathology recognition system based on a novel deep learning framework is proposed, which analyses in real-time echocardiography video sequences. The system works in two stages. The first one transforms the data included in a database of echocardiography sequences into a machine-learning-compatible collection of annotated images which can be used in the training stage of any kind of machine learning-based framework, and more specifically with deep learning. This includes the use of the Higher Order Dynamic Mode Decomposition (HODMD) algorithm, for the first time to the authors' knowledge, for both data augmentation and feature extraction in the medical field. The second stage is focused on building and training a Vision Transformer (ViT), barely explored in the related literature. The ViT is adapted for an effective training from scratch, even with small datasets. The designed neural network analyses images from an echocardiography sequence to predict the heart state. The results obtained show the superiority of the proposed system and the efficacy of the HODMD algorithm, even outperforming pretrained Convolutional Neural Networks (CNNs), which are so far the method of choice in the literature.

A$^3$PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader
Qingcai Jiang, Shaojie Tan, Junshi Chen, Hong An
https://arxiv.org/abs/2402.18592

A$^3$PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader
The performance gap between memory and processor has grown rapidly. Consequently, the energy and wall-clock time costs associated with moving data between the CPU and main memory predominate the overall computational cost. The Processing-in-Memory (PIM) paradigm emerges as a promising architecture that mitigates the need for extensive data movements by strategically positioning computing units proximate to the memory. Despite the abundant efforts devoted to building a robust and highly-availabl…

Mineral and cross-linking in collagen fibrils: The mechanical behavior of bone tissue at the nano-scale
Julia Kamml, Claire Acevedo, David Kammer
https://arxiv.org/abs/2403.11753 …

Mineral and cross-linking in collagen fibrils: The mechanical behavior of bone tissue at the nano-scale
The mineralized collagen fibril is the main building block of hard tissues and it directly affects the macroscopic mechanics of biological tissues such as bone. The mechanical behavior of the fibril itself is determined by its structure: the content of collagen molecules, minerals, and cross-links, and the mechanical interactions and properties of these components. Advanced-Glycation-Endproducts (AGEs) cross-linking between tropocollagen molecules within the collagen fibril is one important fac…