Tootfinder

GloBIAS: strengthening the foundations of BioImage Analysis
A. A. Corbat (BioImage Informatics Unit, Science for Life Laboratory and Department of Information Technology, Uppsala University, Sweden), C. G. Walther (German BioImaging, Gesellschaft f\"ur Mikroskopie und Bildanalyse e.V., Konstanz, Germany, University of Vienna, Vienna, Austria), L. R. de la Ballina (Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Montebe…

GloBIAS: strengthening the foundations of BioImage Analysis
There is a global need for BioImage Analysis (BIA) as advances in life sciences increasingly rely on cutting-edge imaging systems that have dramatically expanded the complexity and dimensionality of biological images. Turning these data into scientific discoveries requires people with effective data management skills and knowledge of state-of-the-art image processing and data analysis, in other words, BioImage Analysts. The Global BioImage Analysts' Society (GloBIAS) aims to enhance the profile…

DMF2Mel: A Dynamic Multiscale Fusion Network for EEG-Driven Mel Spectrogram Reconstruction
Cunhang Fan, Sheng Zhang, Jingjing Zhang, Enrui Liu, Xinhui Li, Minggang Zhao, Zhao Lv
https://arxiv.org/abs/2507.07526

DMF2Mel: A Dynamic Multiscale Fusion Network for EEG-Driven Mel Spectrogram Reconstruction
Decoding speech from brain signals is a challenging research problem. Although existing technologies have made progress in reconstructing the mel spectrograms of auditory stimuli at the word or letter level, there remain core challenges in the precise reconstruction of minute-level continuous imagined speech: traditional models struggle to balance the efficiency of temporal dependency modeling and information retention in long-sequence decoding. To address this issue, this paper proposes the Dy…

Introducing a vertex polynomial invariant for embedded graphs
Qi Yan, Qingying Deng, Metrose Metsidik
https://arxiv.org/abs/2506.07522 https://

Introducing a vertex polynomial invariant for embedded graphs
The ribbon group action extends geometric duality and Petrie duality by defining two embedded graphs as twisted duals precisely when they lie within the same orbit under this group action. Twisted duality yields numerous novel properties of fundamental graph polynomials. In this paper, we resolve a problem raised by Ellis-Monaghan and Moffatt [Trans. Amer. Math. Soc. 364 (2012), 1529--1569] for vertex counts by introducing the vertex polynomial: a generating function quantifying vertex distribu…

This https://arxiv.org/abs/2505.02750 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

A CRISP approach to QSP: XAI enabling fit-for-purpose models
Quantitative Systems Pharmacology (QSP) promises to accelerate drug development, enable personalized medicine, and improve the predictability of clinical outcomes. Realizing this potential requires effectively managing the complexity of mathematical models representing biological systems. Here, we present and validate a novel QSP workflow--CRISP (Contextualized Reduction for Identifiability and Scientific Precision)--that addresses a central challenge in QSP: the problem of complexity and over-…

Research on integrated intelligent energy management system based on big data analysis and machine learning
Jinzhou Xu, Yadan Zhang, Paola Tapia
https://arxiv.org/abs/2508.05583

Research on integrated intelligent energy management system based on big data analysis and machine learning
The application of big data is one of the significant features of integrated smart energy. Applying it to the file management of integrated smart energy projects is of great significance for improving the efficiency of project management and control. This article first discussed the benefits and challenges of implementing big data analysis in document management and control of integrated smart energy projects. In addition, an implementation framework for big data analysis in integrated smart en…

"Using the tools is a necessary but not sufficient part of the process to improve.
What is needed is to use the tools with engaged people that are continually learning and adjusting the management system based on their increased understanding of the organization as a system..."

I want to push back on the idea in the world of tech work that a PIP (performance improvement plan) is about getting rid of someone, that they're not intended to be survivable.
This is completely false. (I'm sure there's instances of it, of course, but the mode and vast majority are, in fact about performance improvement. Sometimes they're shadow layoffs, but that is cruel callous behavior that not everyone will exhibit.)
Now _most people do not survive the PIP process_. This is to be expected: if someone is in fact not performing, and more gentle remedies haven't worked, it's not looking good.
But here's where I get a bit spicy: most performance problems are constitutional problems with management and management style, not individual performance problems. However, since managers are as a class 'in power' somewhat, the individual contributor takes the fall for this structurally.
The intent of a PIP is not to get rid of people. It's to right performance.
However, as a system, PIPs do largely get rid of people who are constitutionally misaligned with management. Even when it's a management problem (and it usually is)

Effects of Unplanned Incoming Flights on Airport Relief Processes after a Major Natural Disaster
Luka Van de Sype, Matthieu Vert, Alexei Sharpanskykh, Seyed Sahand Mohammadi Ziabari
https://arxiv.org/abs/2507.05150

Effects of Unplanned Incoming Flights on Airport Relief Processes after a Major Natural Disaster
The severity of natural disasters is increasing every year, impacting many people's lives. During the response phase of disasters, airports are important hubs where relief aid arrives and people need to be evacuated. However, the airport often forms a bottleneck in these relief operations due to the sudden need for increased capacity. Limited research has been done on the operational side of airport disaster management. Experts identify the main problems as, first, the asymmetry of information …

A Conceptual Model and Methodology for Sustainability-aware, IoT-enhanced Business Processes
Victoria Torres Bosch, Ronny Seiger, Manuela Albert Albiol, Antoni Mestre Gascon, Pedro Jose Valderas Aranda
https://arxiv.org/abs/2508.05301

A Conceptual Model and Methodology for Sustainability-aware, IoT-enhanced Business Processes
The real-time data collection and automation capabilities offered by the Internet of Things (IoT) are revolutionizing and transforming Business Processes (BPs) into IoT-enhanced BPs, showing high potential for improving sustainability. Although already studied in Business Process Management (BPM), sustainability research has primarily focused on environmental concerns. However, achieving a holistic and lasting impact requires a systematic approach to address sustainability beyond the environmen…

Data Analysis and Modeling for Transitioning Between Laboratory Methods for Detecting SARS-CoV-2 in Wastewater
Maria M. Warns, Leah Mrowiec, Christopher Owen, Adam Horton, Chi-Yu Lin, Modou Lamin Jarju, Niall M. Mangan, Aaron Packman, Katelyn Plaisier Leisman, Abhilasha Shrestha, Rachel Poretsky
https://arxiv.org/abs/2508.05594

Data Analysis and Modeling for Transitioning Between Laboratory Methods for Detecting SARS-CoV-2 in Wastewater
Wastewater surveillance has proven to be a useful tool to monitor pathogens such as SARS-CoV-2 as it is a nonintrusive way to survey the potential disease burden of the population contributing to a sewershed. With the expansion of this field since the beginning of the COVID-19 pandemic, laboratory methods to process wastewater and quantify pathogen nucleic acid levels have improved as technologies changed, efforts expanded in size and scope, and supply chain issues were resolved. Maintaining da…