Tootfinder

It isn't a great feeling to know that your hometown #water supply has always been tainted by persistent "forever" #contaminants. North Bay #Ontario had a large, very active airforce base, rep…

A 'tragedy that can't be measured': North Bay's forever chemical problem is also the rest of Canada's
For decades, North Bay, Ontario's water supply has harboured chemicals associated with liver and developmental issues, cancer and complications with pregnancy. It's far from the only city with that problem.

Thus far, the Supreme Court’s rulings in both the 14th Amendment and presidential immunity case have helped to reinforce Trump’s narrative that these criminal indictments aren’t really about him, they are about his legions of MAGA followers.
In equating his problems with their problems, Trump has ample fodder
— bogus as it may be
— to once again argue that his legal troubles are not of his own doing, but rather, the work of political adversaries who have been conspiring to i…

A criminologist explains why half of America does not care about Trump's crimes
Since 2023, when Donald Trump was criminally indicted in a combined four criminal cases on 91 felony counts, I have repeatedly been asked to explain how one-half of the American public seemingly does not care about the alleged crimes committed by their former president and presumptive 2024 Republica...

🎻 Man busted for assaulting cops on Jan. 6 wants out of prison
https://lawandcrime.com/high-profile/he-whacked-an-officer-with-a-wooden-flagpole-body-arm…

Body armor-clad Proud Boy who admitted to assaulting cops on Jan. 6 wants out of prison
A helmeted Proud Boy clad in armor and spiked gloves who hit an officer with a flagpole during the Jan. 6 riots and shouted a "guttural" battle cry from the movie "300" wants to get out of prison.

Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints
Hritik Bana, Manav Mishra, Saswata Sarkar, Sujeevraja Sanjeevi, Sujit PB, Kaarthik Sundar
https://arxiv.org/abs/2404.06423

Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints
This article presents a deep reinforcement learning-based approach to tackle a persistent surveillance mission requiring a single unmanned aerial vehicle initially stationed at a depot with fuel or time-of-flight constraints to repeatedly visit a set of targets with equal priority. Owing to the vehicle's fuel or time-of-flight constraints, the vehicle must be regularly refueled, or its battery must be recharged at the depot. The objective of the problem is to determine an optimal sequence of vi…

Demand Private Coded Caching: the Two-File Case
Qinyi Lu, Nan Liu, Wei Kang
https://arxiv.org/abs/2404.06884 https://arxiv.org/pdf/24…

Demand Private Coded Caching: the Two-File Case
We investigate the demand private coded caching problem, which is an $(N,K)$ coded caching problem with $N$ files, $K$ users, each equipped with a cache of size $M$, and an additional privacy constraint on user demands. We first present a new virtual-user-based achievable scheme for arbitrary number of users and files. Then, for the case of 2 files and arbitrary number of users, we derive some new converse bounds. As a result, we obtain the exact memory-rate tradeoff of the demand private coded…

Deriving X-ray Line Profiles for Massive-Star Winds from Momentum-Conserving Dynamical Working Surface Solutions
Sean J. Gunderson, Kenneth G. Gayley
https://arxiv.org/abs/2404.06590

Deriving X-ray Line Profiles for Massive-Star Winds from Momentum-Conserving Dynamical Working Surface Solutions
We present a general procedure for deriving a line profile model for massive star X-ray spectra that captures the dynamics of the wind more directly. The basis of the model is the analytic solution to the problem of variable jets in Herbig-Haro objects given by \citet{Canto2000}. In deriving our model, we generalize this jet solution to include flows with a prescribed nonzero acceleration for the context of radiatively driven winds. We provide example line profiles generated from our model for …

Elliptic and parabolic problems in thin domains with doubly weak oscillatory boundary
Jos\'e M. Arrieta, Manuel Villanueva-Pesqueira
https://arxiv.org/abs/2405.05607

Elliptic and parabolic problems in thin domains with doubly weak oscillatory boundary
In this work we consider higher dimensional thin domains with the property that both boundaries, bottom and top, present oscillations of weak type. We consider the Laplace operator with Neumann boundary conditions and analyze the behavior of the solutions as the thin domains shrinks to a fixed domain $ω\subset \R^n$. We obtain the convergence of the resolvent of the elliptic operators in the sense of compact convergence of operators, which in particular implies the convergence of the spectra. …

There is a dude on the bus rn with the most massive, fully teased, half metre in diameter 'fro hair. As a mostly bald guy, not entirely by choice, I am perhaps naturally interested in people with a full head of hair but I don't wish for hair..I'm very comfortable in my own skin. I think in this case though, I may be fascinated out of semi-subconcious envy. 😆
#buslife

This https://arxiv.org/abs/1807.05477 has been replaced.
link: https://scholar.google.com/scholar?q=a

Linear Programming Based Near-Optimal Pricing for Laminar Bayesian Online Selection
The Bayesian online selection problem aims to design a pricing scheme for a sequence of arriving buyers that maximizes the expected social welfare (or revenue) subject to different structural constraints. Inspired by applications with a hierarchy of service, this paper focuses on the cases where a laminar matroid characterizes the set of served buyers. We give the first Polynomial-Time Approximation Scheme (PTAS) for the problem when the laminar matroid has constant depth. Our approach is based…

On the Secrecy Capacity of 1-2-1 Atomic Networks
Mohammad Milanian, Minoh Jeong, Martina Cardone
https://arxiv.org/abs/2405.05823 https://

On the Secrecy Capacity of 1-2-1 Atomic Networks
We consider the problem of secure communication over a noiseless 1-2-1 network, an abstract model introduced to capture the directivity characteristic of mmWave communications. We focus on structured networks, which we refer to as 1-2-1 atomic networks. Broadly speaking, these are characterized by a source, a destination, and three layers of intermediate nodes with sparse connections. The goal is for the source to securely communicate to the destination in the presence of an eavesdropper with u…