Editorial: The dialogue between forensic scientists, statisticians and lawyers about complex scientific issues for court

This is the Editorial of the Frontiers open-access article collection "The Dialogue Between Forensic Scientists, Statisticians and Lawyers About Complex Scientific Issues for Court". The 11 articles (by 22 authors) can be found here: https://www.frontiersin.org/research-topics/4000

‘They are doing it because they love it’: U.S. and English fan perceptions of women footballers as ‘role models’

We draw from 102 interviews with American and English adults who attended the 2019 Women’s World Cup to examine how fans perceive women footballers as ‘role models’, with attention to the operations of gender ideology. Despite the recent professionalization and commercialization of women’s football, there is a dearth of research on fan perspectives of players as role models. Our findings show that most fans perceive role modelling as women’s accessibility and authenticity in interaction. Fans naturalize women’s often uncompensated labor as role models through a supposed love for their sport and desire to see its future growth, endorsing a gender essentialist view of women as notably caring and giving in comparison to men. However, a minority of fans embrace a more critical view by identifying role modelling as an expectation placed disproportionately on women within an already unequal resource environment. We conclude that role modelling is a gendered expectation for elite women footballers and that fans can be a source of pressure towards its enactment

An institutional analysis of gender (in)equalities, covid-19 and governance of elite women’s football in Australia, England and the USA

Purpose: Women’s football faces an existential threat from covid-19. Using case studies, we explore the covid-19 responses of three highly-ranked national football associations (Australia, England, and the USA) and their professional women’s football leagues to: (a) compare and shed new insights into the wide range of phased responses, and (b) establish recommendations for other nations to navigate major crises with their social and ethical responsibilities to women’s football. Methodology: Drawing on institutional theory, a framework analysis was undertaken examining 71 articles to analyse the gendered global impacts of covid-19 on women’s football. Findings: Results highlight several important recommendations for nations to consider during the pandemic: (1) maintain active communication with the community to allay worries about the future of women’s football, (2) gather support from health and government officials, (3) seek out commercial and broadcasting partnerships to drive revenue, and (4) the interests of women’s football are best served when responsibility for the elite women’s league does not rest (solely) with national football associations. Originality: The study is first to explore institutional pressures and football governing bodies during covid-19 and provides a framework for nations to manage major crises. Social implications: We argue sport is an interwoven part of society and cannot be separated from gender equality issues irrespective of the pandemic

Python Programmers Have GPUs Too: Automatic Python Loop Parallelization with Staged Dependence Analysis

Python is a popular language for end-user software development in many application domains. End-users want to harness parallel compute resources effectively, by exploiting commodity manycore technology including GPUs. However, existing approaches to parallelism in Python are esoteric, and generally seem too complex for the typical end-user developer. We argue that implicit, or automatic, parallelization is the best way to deliver the benefits of manycore to end-users, since it avoids domain-specific languages, specialist libraries, complex annotations or restrictive language subsets. Auto-parallelization fits the Python philosophy, provides effective performance, and is convenient for non-expert developers. Despite being a dynamic language, we show that Python is a suitable target for auto-parallelization. In an empirical study of 3000+ open-source Python notebooks, we demonstrate that typical loop behaviour ‘in the wild’ is amenable to auto-parallelization. We show that staging the dependence analysis is an effective way to maximize performance. We apply classical dependence analysis techniques, then leverage the Python runtime’s rich introspection capabilities to resolve additional loop bounds and variable types in a just-in-time manner. The parallel loop nest code is then converted to CUDA kernels for GPU execution. We achieve orders of magnitude speedup over baseline interpreted execution and some speedup (up to 50x, although not consistently) over CPU JIT-compiled execution, across 12 loop-intensive standard benchmarks

University Libraries Annual Report FY 2022-2023

Annual Report of the Old Dominion University Libraries for FY 2022-2023. Contents include Reflecting on Progress, Fostering Scholarship, Reimagining Libraries\u27 Spaces, Strengthening Connections, and In Memoriam. The report was written by the Libraries\u27 Communications Team, headed by Jennifer Hoyt

Investigations into the photophysical and electronic properties of pnictoles and Their pnictenium counterparts

The reaction of phosphole/arsole starting materials with a series of halide abstraction reagents afforded their respective phosphenium/arsenium complexes. UV–vis absorption and luminescence studies on these cations showed interesting emission profiles, which were found to be dependent upon counterion choice. The addition of a reductant to the phosphole reagent garnered a dimeric species with a central P–P bond, which when heated was found to undergo homolytic bond cleavage to produce an 11π radical complex. Electron paramagnetic resonance (EPR), supported by density functional theory (DFT) calculations, was used to characterize this radical species

Early Science with the Large Millimeter Telescope: Exploring the Effect of AGN Activity on the Relationships Between Molecular Gas, Dust, and Star Formation

The molecular gas, H$_2$, that fuels star formation in galaxies is difficult to observe directly. As such, the ratio of $L_{\rm IR}$ to $L^\prime_{\rm CO}$ is an observational estimation of the star formation rate compared with the amount of molecular gas available to form stars, which is related to the star formation efficiency and the inverse of the gas consumption timescale. We test what effect an IR luminous AGN has on the ratio $L_{\rm IR}/L^\prime_{\rm CO}$ in a sample of 24 intermediate redshift galaxies from the 5 mJy Unbiased Spitzer Extragalactic Survey (5MUSES). We obtain new CO(1-0) observations with the Redshift Search Receiver on the Large Millimeter Telescope. We diagnose the presence and strength of an AGN using Spitzer IRS spectroscopy. We find that removing the AGN contribution to $L_{\rm IR}^{\rm tot}$ results in a mean $L_{\rm IR}^{\rm SF}/L^\prime_{\rm CO}$ for our entire sample consistent with the mean $L_{\rm IR}/L^\prime_{\rm CO}$ derived for a large sample of star forming galaxies from $z\sim0-3$. We also include in our comparison the relative amount of polycyclic aromatic hydrocarbon emission for our sample and a literature sample of local and high redshift Ultra Luminous Infrared Galaxies and find a consistent trend between $L_{6.2}/L_{\rm IR}^{\rm SF}$ and $L_{\rm IR}^{\rm SF}/L^\prime_{\rm CO}$, such that small dust grain emission decreases with increasing $L_{\rm IR}^{\rm SF}/L^\prime_{\rm CO}$ for both local and high redshift dusty galaxies.Comment: Accepted for publication in ApJ (to appear on December 10