Tootfinder

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

Neutron optical tuning of Fe/11B4CTi multilayers for optimal polarization and increased reflectivity for polarizing neutron optics
A. Zubayer, N. Ghafoor, K. A. Thorarinsdottir, A. Glavic, J. Stahn, G. Nagy, A. Vorobiev, F. Magnus, J. Birch, F. Eriksson
https://arxiv.org/abs/2404.04107 <…

Neutron optical tuning of Fe/11B4CTi multilayers for optimal polarization and increased reflectivity for polarizing neutron optics
The concept of scattering length density tuning for improved polarization is investigated for Fe/11B4CTi multilayers and compared to the commonly used Fe/Si system in polarizing multilayer neutron optics. X-ray and neutron reflectivity, magnetization, and neutron polarization have been measured on such multilayers, highlighting differences from conventional Fe/Si multilayers. The multilayer systems were deposited with 25 Å period thickness, a layer thickness ratio of 0.35 and 20 periods, using…

Some Singaporean writers are resisting their government's request to use their works to train a multilingual LLM, citing little clarity on compensation and more (Nicholas Yong/Rest of World)
https://restofworld.org/2024/singapore-writers-reject-ai-training/<…

Writers and publishers in Singapore reject a government plan to train AI on their work
Singapore's literary community is pushing back against an official effort to train LLMs using their published works, part of a growing global resistance.

Bayesian Multilevel Compositional Data Analysis: Introduction, Evaluation, and Application
Flora Le, Tyman E. Stanford, Dorothea Dumuid, Joshua F. Wiley
https://arxiv.org/abs/2405.03985

Bayesian Multilevel Compositional Data Analysis: Introduction, Evaluation, and Application
Multilevel compositional data commonly occur in various fields, particularly in intensive, longitudinal studies using ecological momentary assessments. Examples include data repeatedly measured over time that are non-negative and sum to a constant value, such as sleep-wake movement behaviours in a 24-hour day. This article presents a novel methodology for analysing multilevel compositional data using a Bayesian inference approach. This method can be used to investigate how reallocation of time …

Being an Open Source developer for a mildly popular Reverse Engineering tool means that most people contacting me asking for help or reporting problems cannot share, basically, anything, and I have to fix things blindly. Sometimes, I find scenarios in which the problem only happens after hours *or even days* with gigantic binaries.
OPEN SOURCE DEVELOPMENT IS SO NICE AND RELAXING.
#Diaphora

Some Singaporean writers are resisting their government's request to use their works to train a multilingual LLM, citing little clarity on compensation and more (Nicholas Yong/Rest of World)
https://restofworld.org/2024/singapore-writers-reject-ai-training/<…

Writers and publishers in Singapore reject a government plan to train AI on their work
Singapore's literary community is pushing back against an official effort to train LLMs using their published works, part of a growing global resistance.

New Multilinear Littlewood--Paley $g_{\lambda}^{*}$ Function and Commutator on weighted Lebesgue Spaces with New Weight
Huimin Sun, Shuhui Yang, Yan Lin
https://arxiv.org/abs/2403.04285

New Multilinear Littlewood--Paley $g_λ^{*}$ Function and Commutator on weighted Lebesgue Spaces with New Weight
Via the new weight function $A_{\vec p}^{θ}(φ)$, the authors introduce a new class of multilinear Littlewood--Paley $g_λ^{*}$ functions and establish the boundedness on weighted Lebesgue spaces. In addition, the authors obtain the boundedness of the multilinear commutator and multilinear iterated commutator generated by the multilinear Littlewood--Paley $g_λ^{*}$ function and the new $BMO$ function on weighted Lebesgue spaces. The results in this article include the known results in \cite{X…

This https://arxiv.org/abs/2404.02000 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Africa-Centric Self-Supervised Pre-Training for Multilingual Speech Representation in a Sub-Saharan Context
We present the first self-supervised multilingual speech model trained exclusively on African speech. The model learned from nearly 60 000 hours of unlabeled speech segments in 21 languages and dialects spoken in sub-Saharan Africa. On the SSA subset of the FLEURS-102 dataset, our approach based on a HuBERT$_{base}$ (0.09B) architecture shows competitive results, for ASR downstream task, compared to the w2v-bert-51 (0.6B) pre-trained model proposed in the FLEURS benchmark, while being more effi…

This https://arxiv.org/abs/2405.03985 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Bayesian Multilevel Compositional Data Analysis: Introduction, Evaluation, and Application
Multilevel compositional data commonly occur in various fields, particularly in intensive, longitudinal studies using ecological momentary assessments. Examples include data repeatedly measured over time that are non-negative and sum to a constant value, such as sleep-wake movement behaviours in a 24-hour day. This article presents a novel methodology for analysing multilevel compositional data using a Bayesian inference approach. This method can be used to investigate how reallocation of time …