Tootfinder

One aspect that's often overlooked with dwm is its portability and uniqueness.
The dwm I'm sporting is one that no one else has; it is totally mine and in that sense unique.You build your own program, patches, binds et al.
Making sure all prerequisites are fulfilled you can then just copy your suckless configs to basically any distro and run a make clean install.
That's why I learned to love dwm and why it's still the best wm around, wayland or not.

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements
Moshe Unger, Alexander Tuzhilin, Michel Wedel
https://arxiv.org/abs/2508.04148 https://

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements
The present work proposes a Deep Learning architecture for the prediction of various consumer choice behaviors from time series of raw gaze or eye fixations on images of the decision environment, for which currently no foundational models are available. The architecture, called STARE (Spatio-Temporal Attention Representation for Eye Tracking), uses a new tokenization strategy, which involves mapping the x- and y- pixel coordinates of eye-movement time series on predefined, contiguous Regions of…

This https://arxiv.org/abs/2504.04864 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Statistical parametric simulation studies based on real data
Simulation studies are indispensable for evaluating and comparing statistical methods. The most common simulation approach is parametric simulation, where the data-generating mechanism (DGM) corresponds to a predefined parametric model from which observations are drawn. Many statistical simulation studies aim to provide practical recommendations on a method's suitability for a given application; however, parametric simulations in particular are frequently criticized for being too simplistic and…

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Jiangnan Zhao (Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing, PR China, Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs of China, China Agricultural University, Beijing, PR China), Hanbo Xu (Key Laboratory of Smart Agric…

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional detection methods of plant diseases such as PCR and LAMP are highly sensitive and specific, they rely on bulky and expensive laboratory equipment and involve complex operations, making them impracticable for point-of care diagnosis in the field. Here in this study, we report a portable RPA-CRISPR based diagnosis system f…