Tootfinder

@… We're running another lot of cDNA samples on our P2 Solo. Flow cell loading and available pores looks great. Not quite a full sea of green, but that's to be expected from an older PromethION flow cell. They seem to be more time-sensitive than the MinION and Flongle flow cells.

This https://arxiv.org/abs/2404.14322 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
Lung segmentation in chest X-ray images is of paramount importance as it plays a crucial role in the diagnosis and treatment of various lung diseases. This paper presents a novel approach for lung segmentation in chest X-ray images by integrating U-net with attention mechanisms. The proposed method enhances the U-net architecture by incorporating a Convolutional Block Attention Module (CBAM), which unifies three distinct attention mechanisms: channel attention, spatial attention, and pixel atte…

Performance of a modular ton-scale pixel-readout liquid argon time projection chamber
DUNE Collaboration, et al.
https://arxiv.org/abs/2403.03212 https://<…

Performance of a modular ton-scale pixel-readout liquid argon time projection chamber
The Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging perform…

IM-based Pilot-assisted Channel Estimation for FTN Signaling HF Communications
Simin Keykhosravi, Ebrahim Bedeer
https://arxiv.org/abs/2402.16618 https://<…

IM-based Pilot-assisted Channel Estimation for FTN Signaling HF Communications
This paper investigates doubly-selective (i.e., time- and frequency-selective) channel estimation in faster-than-Nyquist (FTN) signaling HF communications. In particular, we propose a novel IM-based channel estimation algorithm for FTN signaling HF communications including pilot sequence placement (PSP) and pilot sequence location identification (PSLI) algorithms. At the transmitter, we propose the PSP algorithm that utilizes the locations of pilot sequences to carry additional information bits…

Properties of Hagen-Poiseuille flows in channel networks
A. F. Valente, R. Almeida, R. Dil\~ao
https://arxiv.org/abs/2402.19185 https://

Properties of Hagen-Poiseuille flows in channel networks
We derive the main properties of adaptive Hagen-Poiseuille flows in elastic microchannel networks akin to biological veins in organisms. We show that adaptive Hagen-Poiseuille flows successfully simulate key features of \textit{Physarum polycephalum} networks, replicating physiological out-of-equilibrium phenomena like peristalsis and shuttle streaming, associated with the mechanism of nutrient transport in \textit{Physarum}. A new topological steady state has been identified for asynchronous a…

Weighted Stacking of Radio Images Affected by Noise and Interfering Signals
Giulia Murgia, Sofia Fatigoni
https://arxiv.org/abs/2404.17691 https://<…

Weighted Stacking of Radio Images Affected by Noise and Interfering Signals
We implement an algorithm based on the weighted stacking of astronomical images that can combine different observations of the same region of the sky removing the interfering signals. We develop a C++ code that takes as input a set of spectral cubes and computes the local weights of the intensity for each pixel of every channel. The weights are calculated as the inverse variance of the nearby pixels and are used to compute the weighted merge of the input files. Astronomical sources, present in …

Active particle motion in Poiseuille flow through rectangular channels
Rahil N. Valani, Brendan Harding, Yvonne M. Stokes
https://arxiv.org/abs/2404.07420 …

Active particle motion in Poiseuille flow through rectangular channels
We investigate the dynamics of a point-like active particle suspended in fluid flow through a straight channel. For this particle-fluid system, we derive a constant of motion for a general unidirectional fluid flow, and apply it to an approximation of Poiseuille flow through rectangular cross-sections. For a given rectangular cross-section, this results in a $4$D nonlinear conservative dynamical system with one constant of motion and a dimensionless parameter as the ratio of maximum flow speed …

This https://arxiv.org/abs/2312.04896 has been replaced.
initial toot: https://mastoxiv.page/@a…

Driving Viscous Hydrodynamics in Bulk Electron Flow in Graphene Using Micromagnets
We consider the hydrodynamic flow of an electron fluid in a channel formed in a two-dimensional electron gas (2DEG) with no-slip boundary conditions. To generate vorticity in the fluid the flow is influenced by an array of micromagnets on the top of 2DEG. We analyse the viscous boundary layer and demonstrate anti-Poiseuille behaviour in this region. Furthermore we predict a longitudinal voltage modulation, where a periodic magnetic field generates a voltage term periodic in the direction of tra…

Benchmarking reconstructive spectrometer with multi-resonant cavities
Chunhui Yao, Kangning Xu, Tianhua Lin, Jie Ma, Chumeng Yao, Peng Bao, Zhitian Shi, Richard Penty, Qixiang Cheng
https://arxiv.org/abs/2403.00496

Benchmarking reconstructive spectrometer with multi-resonant cavities
Recent years have seen the rapid development of miniaturized reconstructive spectrometers (RSs), yet they still confront a range of technical challenges, such as bandwidth/resolution ratio, sensing speed, and/or power efficiency. Reported RS designs often suffer from insufficient decorrelation between sampling channels, which results in limited compressive sampling efficiency, in essence, due to inadequate engineering of sampling responses. This in turn leads to poor spectral-pixel-to-channel r…

A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
Mohammad Ali Labbaf Khaniki, Mohammad Manthouri
https://arxiv.org/abs/2404.14322

A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
Lung segmentation in chest X-ray images is of paramount importance as it plays a crucial role in the diagnosis and treatment of various lung diseases. This paper presents a novel approach for lung segmentation in chest X-ray images by integrating U-net with attention mechanisms. The proposed method enhances the U-net architecture by incorporating a Convolutional Block Attention Module (CBAM), which unifies three distinct attention mechanisms: channel attention, spatial attention, and pixel atte…