Tootfinder

Dev.to author Karm Patel writes about different standardized ways to go about git branching for different software development workflows in 2025. From Git Flow to Forking Workflows, each is evaluated exposing their pros and cons weighting each approach's complexity vs its contribution to best modeling your workflow.
"Git Branching Strategies: A Comprehensive Guide"

🚨 New paper alert 🚨
Together with my co-authors, we compare two different diagnostic clinics of Moorfields Eye Hospital in London regarding their spatial designs and effective patient flows
We highlight the importance of line of sight relationships between diagnostic test stations to ease patient flow and coordination and suggest an ideal clinic configuration based on queuing models
Published

Lanes, clusters, sightlines: modelling patient flow in medical clinics | Buildings & Cities

This https://arxiv.org/abs/2505.07592 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Neural Signatures Within and Between Chess Puzzle Solving and Standard Cognitive Tasks for Brain-Computer Interfaces: A Low-Cost Electroencephalography Study
Consumer-grade electroencephalography (EEG) devices show promise for Brain-Computer Interface (BCI) applications, but their efficacy in detecting subtle cognitive states remains understudied. We developed a comprehensive study paradigm which incorporates a combination of established cognitive tasks (N-Back, Stroop, and Mental Rotation) and adds a novel ecological Chess puzzles task. We tested our paradigm with the MUSE 2, a low-cost consumer-grade EEG device. Using linear mixed-effects modeling…

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
Avery Drennan, Jeffrey Covington, Dan Han, Andrew Attilio, Jaechoul Lee, Richard Posner, Eck Doerry, Joseph Mihaljevic, Ye Chen
https://arxiv.org/abs/2505.24127

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
Compartmental models are effective in modeling the spread of infectious pathogens, but have remaining weaknesses in fitting to real datasets exhibiting stochastic effects. We propose a stochastic SIHR model with a dynamic transmission rate, where the rate is modeled by the Black-Karasinski (BK) process - a mean-reverting stochastic process with a stable equilibrium distribution, making it well-suited for modeling long-term epidemic dynamics. To generate sample paths of the BK process and estima…

Near-feasible Fair Allocations in Two-sided Markets
Javier Cembrano, Andr\'es Moraga, Victor Verdugo
https://arxiv.org/abs/2506.01178 https://

Near-feasible Fair Allocations in Two-sided Markets
We study resource allocation in two-sided markets from a fundamental perspective and introduce a general modeling and algorithmic framework to effectively incorporate the complex and multidimensional aspects of fairness. Our main technical contribution is to show the existence of a range of near-feasible resource allocations parameterized in different model primitives to give flexibility when balancing the different policymaking requirements, allowing policy designers to fix these values accord…

This https://arxiv.org/abs/2410.09346 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Transcriptome and Redox Proteome Reveal Temporal Scales of Carbon Metabolism Regulation in Model Cyanobacteria Under Light Disturbance
We develop a systems approach based on an energy-landscape concept to differentiate interactions involving redox activities and conformational changes of proteins and nucleic acids interactions in multi-layered protein-DNA regulatory networks under light disturbance. Our approach is a data-driven modeling workflow using a physics-informed machine learning algorithm to train a non-linear mathematical model for interpreting gene expression dynamics and to lead discovery for protein regulators usi…

This https://arxiv.org/abs/2502.14479 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework
The lifetime behaviour of loans is notoriously difficult to model, which can compromise a bank's financial reserves against future losses, if modelled poorly. Therefore, we present a data-driven comparative study amongst three techniques in modelling a series of default risk estimates over the lifetime of each loan, i.e., its term-structure. The behaviour of loans can be described using a nonstationary and time-dependent semi-Markov model, though we model its elements using a multistate regress…