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MCO The gendered Animal
No full textA double weighted portfolio in critical animal studies exploring gendered aspects of our multi-species relational constructions
The use of performance analysis and data driven approaches within senior men's football recruitment
Full text linkFootball clubs face various demands due to transfer fee increases within player recruitment, leading to numerous clubs adopting alternate methods to remain competitive within the transfer market. This study aimed to investigate the perceptions and use of performance analysis (PA) within player recruitment. Participants (n = 19) from professional and semi-professional football clubs were invited to complete a survey through LinkedIn incorporating Likert scale and open text responses. The survey consisted of three sections: demographics, use of PA in recruitment, and perceptions of PA in recruitment. Data was analysed using Mann Whitney U and/or thematic analysis where appropriate to understand the difference in approach between experienced/inexperienced recruiters. Four key themes were identified as formulating the recruitment cycle, these were 1) video and data usage as a crucial tool, 2) identification of hidden talent, 3) performance profiling to quantify strengths/weaknesses and provide pertinent insights into a player's abilities, and 4) due diligence to assess a player's personality and cultural fit. The significance of this work has enabled the creation of a novel empirically grounded recruitment analysis framework. In doing so, this study makes an original empirical and conceptual contribution to our understanding of player recruitment in football to inform applied practice
Jewish inclusion in ethnic studies education: Issues, obstacles, and excuses
No full textEthnic studies in K-12 schools has been a contentious issue in the United States for the past several years. While most programs are based off of university ethnic studies courses and focus on Blacks, Latinos, Indigenous Peoples, and Asians/Pacific Islanders, there is little to no mention of American Jews and anti-Jewish hatred. Antisemitism is increasing drastically across the U.S., yet there continues to be strong resistance to teaching about American Jews in the middle and high school ethnic studies classroom. This text explains why it is essential that K-12 schools address anti-Jewish hatred in order to help eliminate antisemitism amongst a new generation of American youth
Auto-tuning Hannah Montana: Miley Cyrus's Child Voice and the Technological Subversion of Girlhood
No full textWith reference to recordings made by Miley Cyrus between the ages of between 12 and 16 years old for Disney’s Hannah Montana, this chapter examines how the manipulation of her voice through auto-tune and other studio production techniques attempted to construct a normative girlhood by controlling sonic elements (pitch, vibrato, formant frequencies, breaths, etc.) that signify age, gender, race and sexuality.
However, girls such as Cyrus with deep aurally damaged voices fuel the possibility of disruptive readings of the ‘natural’ child and subvert prescriptive constructions of innocence. Auto-tune and the creation of a voice-object separate from the ‘naturalised’ body of the child also has the potential to unsettle dominant narratives of girlhood.
Through the consideration of the combination of expectations of Disney and tween pop as a genre; Hannah Montana’s main themes of control, secrecy and the constant manipulation of identity; and the ideologies that uphold protectionist discourses of childhood, I argue that auto-tuning Miley Cyrus’ atypical child voice constructs a complex and resistant intersectional subjectivity
Predictive modelling of peroxisome proliferator-activated receptor gamma (pparγ) ic50 inhibition by emerging pollutants using light gradient boosting machine
Full text linkPeroxisome proliferator-activated receptor gamma (PPARγ), a critical nuclear receptor, plays a pivotal role in regulating metabolic and inflammatory processes. However, various environmental contaminants can disrupt PPARγ function, leading to adverse health effects. This study introduces a novel approach to predict the inhibitory activity (IC50 values) of 140 chemical compounds across 13 categories, including pesticides, organochlorines, dioxins, detergents, flame retardants, and preservatives, on PPARγ. The predictive model, based on the light-gradient boosting machine (LightGBM) algorithm, was trained on a dataset of 1804 molecules and demonstrated high performance, with R2 scores of 0.82 and 0.59, Mean Absolute Error (MAE) of 0.38 and 0.58, and Root Mean Square Error (RMSE) of 0.54 and 0.76 for the training and test sets, respectively. The model achieved good performance, with R2 scores above 0.81 for most categories, demonstrating its predictive robustness across structurally diverse untested chemicals. This study provides novel insights into the interactions between emerging contaminants and PPARγ, highlighting the potential hazards and risks these chemicals may pose to public health and the environment. The ability to accurately predict PPARγ inhibition by these hazardous contaminants demonstrates the value of this approach in guiding enhanced environmental toxicology research and risk assessment
3D multicore CPU vs GPU on sparse patterns of Sleptsov net virtual machine
Get PDFA Sleptsov net is a discrete-event system, capable of universal computations, applied as a graphical language of concurrent programming for HPC and embedded domains. Search for the first fireable transition in a sequence of transitions, reordered by their priorities, represents a challenge for mass-parallel devices and a bottleneck of the virtual machine. A reduction technique for sequential search implementation on GPU, with less than logarithmic time complexity concerning the sequence length, has been developed. Together with the conventional reduction of minimum and cooperative groups, the techniques yield about ten times speed-up on CPUs and GPUs
Artificial intelligence in the diagnosis of neurological diseases using biomechanical and gait analysis data: a scopus-based bibliometric analysis
Full text linkNeurological diseases are increasingly diverse and prevalent, presenting significant challenges for their timely and accurate diagnosis. The aim of the present study is to conduct a bibliometric analysis and literature review in the field of neurology to explore advancements in the application of artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL). Using VOSviewer software (version 1.6.20.0) and documents retrieved from the Scopus database, the analysis included 113 articles published between 1 January 2018 and 31 December 2024. Key journals, authors, and research collaborations were identified, highlighting major contributions to the field. Science mapping investigated areas of research focus, such as biomechanical data and gait analysis including AI methodologies for neurological disease diagnosis. Co-occurrence analysis of author keywords allowed for the identification of four major themes: (a) machine learning and gait analysis; (b) sensors and wearable health technologies; (c) cognitive disorders; and (d) neurological disorders and motion recognition technologies. The bibliometric insights demonstrate a growing but relatively limited collaborative interest in this domain, with only a few highly cited authors, documents, and journals driving the research. Meanwhile, the literature review highlights the current methodologies and advancements in this field. This study offers a foundation for future research and provides researchers, clinicians, and occupational therapists with an in-depth understanding of AI’s potentially transformative role in neurology
The development and validation of the child self-criticism scale (CSCS)
Full text linkSocial and competitive environmental pressures, combined with changes in self-identity, make self-criticism especially problematic in the identity-forming phase of childhood. Yet, no robust measure of self-criticism exists for use with child populations. Here, via two studies, we present the development of the first psychometrically robust measure of self-criticism for children aged seven to 11 years: the Child Self-Criticism Scale (CSCS). In study one, an item pool was generated through: (i) a literature review of existing self-criticism measures to produce an initial pool of 104 items; (ii) eight subject matter experts’ assessment of the content validity of these items; and (iii) five focus groups with 33 children in total. This resulted in a final pool of 45 items. Study 2 involved data collected at two time-points. At time-point one, 45 items were administered to a sample of 394 U.K. primary school children. Factor Analysis revealed two latent factors based on a reduced set of 15 items characterised as: Criticising self and Reassuring self. Both subscales demonstrated high internal consistency (Factor 1 α.90; Factor 2 α.82). At time point two, the 15-item CSCS was administered to 214 of the participants at time point one, alongside standardised measures of wellbeing. The CSCS showed high correlations with depression, self-compassion, self-criticism, and perfectionism, with significant correlations between CSCS subscales and validation measures. Test-retest reliability at four weeks was excellent (0.74). Overall, as a short, psychometrically robust scale, the CSCS offers a promising tool for measuring the emotional wellbeing of children and/or the effectiveness of wellbeing interventions
What is investigative interviewing (and what is it not)? A primer on the ethos of suspect interviewing
Full text linkPurpose
The questioning of suspects is central to many police investigations, and interviewing techniques have developed over time. In particular, investigative interviewing – which is a research-based and practically proven approach to gathering reliable and relevant information – is gaining ground worldwide. As a result, it is expected to be increasingly included in guidelines, training and police/legal practices around the globe. However, misconceptions and inaccuracies in defining and interpreting investigative interviewing’s practical, psychological and legal foundations can result in misunderstandings and serious consequences such as false decisions and miscarriages of justice. Therefore, this paper aims to decribe the underlying elements of investigative interviewing to offer guidance for policymakers, law enforcement decision makers, researchers and trainers.
Design/methodology/approach
This paper draws on existing research, as well as practical experience from interviewing, teaching, and advising, to examine what investigative interviewing is.
Findings
At the core of investigative interviewing are three pillars: (1) actively open-minded thinking, (2) research-based tactics and techniques and (3) a legal and humane approach.
Practical implications
Based on this, the present study discusses the boundaries of investigative interviewing and the chances of introducing it into training, implementing it in practice and conducting further research on effective practice.
Originality/value
The authors confirm that they have not submitted the manuscript elsewhere and have written it ourselves
‘The problems of the white ethnic majority’ revisited: a personal, theological and political review
Full text linkJust over three and a half decades ago, as a young, white, Christian anti-racist activist challenged by Ambalavaner Sivanandan’s (1981), ‘White Man Listen!’ and Salman Rushdie’s (1982) ‘The New Empire Within Britain’ the author of this article wrote a booklet with the deliberately ‘inverted’ title of ‘The Problems of the White Ethnic Majority’. In the light of the summer 2020 ‘I Can’t Breathe’ death of George Floyd and the Black Lives Matter uprisings, I was challenged to return to what I had previously written to interrogate how far since then, as a white Christian individual; the Christian tradition to which I belong; and/or also the UK ethnic majority of which I am a part, have or have not changed. Out of that reflection, this article argues that, despite many important developments, in relation to the stark realities of racism, much that was the case in the mid-1980s remains today. It continues to affirm that the route to liberation for members of the UK white ethnic majority still needs to go through a serious reckoning with the differential impact of the histories and continuing legacies of colonialism and imperialism upon ourselves and those who are of the African and Global Majority