Tootfinder

This is brutal. I was shocked that the obvious vandalism is so hard to see, and then my brain immediately turned to other ways to accomplish the same thing even more discreetly, and a few of the things I thought of made me want to puke.
#xz #infosec

Revisiting Stereotypes: Race and Running
Tade Souaiaia, Nabie Fofanah, Rawle DeLisle, Sheena Mason
https://arxiv.org/abs/2403.02358 https://

Revisiting Stereotypes: Race and Running
The athletic achievements of African athletes in global running championships have long been subject to scientific and sociological inquiry. During the 1990s, a popular narrative emerged, suggesting that West African lineage conferred inherent sprinting advantages, and that North, South and East African's are specialized for longer distances. Part and parcel to this narrative was the enthusiastic belief that it would very soon be substantiated by a genotyping revolution that would enable progno…

On The Peer Review Reports: Does Size Matter?
Abdelghani Maddi (GEMASS), Luis Miotti (CEPN)
https://arxiv.org/abs/2403.18845 https://…

On The Peer Review Reports: Does Size Matter?
Amidst the ever-expanding realm of scientific production and the proliferation of predatory journals, the focus on peer review remains paramount for scientometricians and sociologists of science. Despite this attention, there is a notable scarcity of empirical investigations into the tangible impact of peer review on publication quality. This study aims to address this gap by conducting a comprehensive analysis of how peer review contributes to the quality of scholarly publications, as measured…

High-dimensional Factor Analysis for Network-linked Data
Jinming Li, Gongjun Xu, Ji Zhu
https://arxiv.org/abs/2403.17121 https://arxi…

High-dimensional Factor Analysis for Network-linked Data
Factor analysis is a widely used statistical tool in many scientific disciplines, such as psychology, economics, and sociology. As observations linked by networks become increasingly common, incorporating network structures into factor analysis remains an open problem. In this paper, we focus on high-dimensional factor analysis involving network-connected observations, and propose a generalized factor model with latent factors that account for both the network structure and the dependence struc…