Analyzing the Impact of Salary Discrepancies Between Professional Sports Organizations

While it has long been theorized by sports fans that an organization’s salary influences the success of the team, this thesis will look to examine if the supposed correlation is accurate. This thesis compiles existing research regarding current salary cap systems in American professional sports leagues and examines league-wide methods employed to maintain competitive balance. The discussion then shifts to consider the additional governing factors that determine organizational success, such as team cohesion, the rise in international players, and the increased player movement via free agency. The research then shifts to examine two specific professional sports leagues: Major League Baseball (MLB) and National Basketball Association (NBA). Utilizing data from the 2013 through 2022 MLB seasons and 2012-13 through 2021-22 NBA seasons, the thesis will analyze the team salary totals’ effectiveness at predicting four response variables associated with team success: regular season wins, home field or court wins, playoff wins, and championship success. The results indicate that team salary may not be as impactful on team success as many would presume. However, there is an intriguing trend to monitor among the MLB and NBA, as the impact of team salary on team success is steadily increasing

Classroom Interaction Geography: A Case Study

The study of classroom discourse is central to understanding and supporting effective teaching practice. Recently, researchers have begun to explore the spatial dimension of classroom discourse. However, this work emphasizes the lack of methods, particularly visual methods, to fully explore the spatial dimension of classroom discourse. This paper uses an approach to studying collaborative interaction we have developed called interaction geography to revisit a classic case known as “Sean Numbers” from the work of renown teacher educator Deborah Ball. Our analysis highlights the value of interaction geography to visually and dynamically explore the spatial and temporal dimensions of classroom discourse. We also make a data visualization of this work available to support further discussion and work to describe classroom interaction geograph

Changing impacts of Alaska-Aleutian subduction zone tsunamis in California under future sea-level rise

The amplification of coastal hazards such as distant-source tsunamis under future relative sea-level rise (RSLR) is poorly constrained. In southern California, the Alaska-Aleutian subduction zone has been identified as an earthquake source region of particular concern for a worst-case scenario distant-source tsunami. Here, we explore how RSLR over the next century will influence future maximum nearshore tsunami heights (MNTH) at the Ports of Los Angeles and Long Beach. Earthquake and tsunami modeling combined with local probabilistic RSLR projections show the increased potential for more frequent, relatively low magnitude earthquakes to produce distant-source tsunamis that exceed historically observed MNTH. By 2100, under RSLR projections for a high-emissions representative concentration pathway (RCP8.5), the earthquake magnitude required to produce \u3e1 m MNTH falls from ~Mw9.1 (required today) to Mw8.0, a magnitude that is ~6.7 times more frequent along the Alaska-Aleutian subduction zone

Microbiome function predicts amphibian chytridiomycosis disease dynamics

[Background] The fungal pathogenBatrachochytrium dendrobatidis (Bd) threatens amphibian biodiversity and ecosystem stability worldwide. Amphibian skin microbial community structure has been linked to the clinical outcome of Bd infections, yet its overall functional importance is poorly understood. [Methods] Microbiome taxonomic and functional profiles were assessed using high-throughput bacterial 16S rRNA and fungal ITS2 gene sequencing, bacterial shotgun metagenomics and skin mucosal metabolomics. We sampled 56 wild midwife toads (Alytes obstetricans) from montane populations exhibiting Bd epizootic or enzootic disease dynamics. In addition, to assess whether disease-specific microbiome profiles were linked to microbe-mediated protection or Bd-induced perturbation, we performed a laboratory Bd challenge experiment whereby 40 young adult A. obstetricans were exposed to Bd or a control sham infection. We measured temporal changes in the microbiome as well as functional profiles of Bd-exposed and control animals at peak infection. [Results] Microbiome community structure and function differed in wild populations based on infection history and in experimental control versus Bd-exposed animals. Bd exposure in the laboratory resulted in dynamic changes in microbiome community structure and functional differences, with infection clearance in all but one infected animal. Sphingobacterium, Stenotrophomonas and an unclassified Commamonadaceae were associated with wild epizootic dynamics and also had reduced abundance in laboratory Bd-exposed animals that cleared infection, indicating a negative association with Bd resistance. This was further supported by microbe-metabolite integration which identified functionally relevant taxa driving disease outcome, of which Sphingobacterium and Bd were most influential in wild epizootic dynamics. The strong correlation between microbial taxonomic community composition and skin metabolome in the laboratory and field is inconsistent with microbial functional redundancy, indicating that differences in microbial taxonomy drive functional variation. Shotgun metagenomic analyses support these findings, with similar disease-associated patterns in beta diversity. Analysis of differentially abundant bacterial genes and pathways indicated that bacterial environmental sensing and Bd resource competition are likely to be important in driving infection outcomes. [Conclusions] Bd infection drives altered microbiome taxonomic and functional profiles across laboratory and field environments. Our application of multi-omics analyses in experimental and field settings robustly predicts Bd disease dynamics and identifies novel candidate biomarkers of infection. [MediaObject not available: see fulltext.]K.A.B. was funded by a CASE studentship from NERC, NERC Biomolecular Analysis Facility grant (NBAF939) and an E.P. Abraham Junior Research Fellowship from St Hilda’s College, University of Oxford. M.C.F and T.W.J.G. were funded by NERC award NE/E006701/1 and the Biodiversa project RACE: Risk Assessment of Chytridiomycosis to European Amphibian Biodiversity. T.W.J.G was also funded by Research England and NERC NE/S000062/1. D.S.S. and A.L. received funding through the project People, Pollution, and Pathogens financed through the call “Mountains as Sentinels of Change” by the Belmont-Forum (ANR-15-MASC-0001 - P3, DFG-SCHM3059/6-1, NERC-1633948, NSFC-41661144004). D.S.S. holds the AXA Chair for Functional Mountain Ecology funded by the AXA Research Fund through the project GloMEc and M.C.F. is a fellow in the CIFAR ‘Fungal Kingdoms’ Program

From mood to movement: English nationalism, the European Union and taking back control

This article considers whether the 2016 EU referendum can be perceived as an English nationalist movement. Specifically, attention is given to examining how memories of the former British Empire were nostalgically enveloped in anxieties regarding England’s location within the devolved UK state. The comments and work of Enoch Powell and George Orwell are used to help explore the link between nostalgia and anxiety in accounts of English nationalism. Despite their opposing political orientations, when considered together, it is argued that both men provide a unique cross-political perspective on Englishness, empire and nostalgia. By way of exploring these themes in relation to the EU referendum, Aughey’s assertion that English nationalism can be perceived as both a ‘mood’ and ‘movement’ is used to highlight how a sense of English anxiety regarding its lack of national sovereignty (mood), as well as a desire to reclaim this sovereignty by renegotiating trade relations with the ‘Anglo-sphere’ (movement), were conjoined in the popular referendum slogan, ‘take back control’. In conclusion, it is argued that the contextualization of the referendum can be predicated upon an orientation to empire that steers away from glorifying pro-imperial images of England/Britain, towards a more positive and progressive appropriation of the EU referendum as a statement of national change and belonging

A Comparison of Neuroelectrophysiology Databases

As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and collaboration. This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed Archives for Neurophysiology Data Integration (DANDI), OpenNeuro, and Brain-CODE. These archives provide researchers with tools to store, share, and reanalyze neurophysiology data though the means of accomplishing these objectives differ. The Brain Imaging Data Structure (BIDS) and Neurodata Without Borders (NWB) are utilized by these archives to make data more accessible to researchers by implementing a common standard. While many tools are available to reanalyze data on and off the archives' platforms, this article features Reproducible Analysis and Visualization of Intracranial EEG (RAVE) toolkit, developed specifically for the analysis of intracranial signal data and integrated with the discussed standards and archives. Neuroelectrophysiology data archives improve how researchers can aggregate, analyze, distribute, and parse these data, which can lead to more significant findings in neuroscience research.Comment: 25 pages, 8 figures, 1 tabl

Whiteness and loss in outer East London: tracing the collective memories of diaspora space

This paper explores collective memory in Newham, East London. It addresses how remembering East London as the home of whiteness and traditional forms of community entails powerful forms of forgetting. Newham's formation through migration – its ‘great time’ – has ensured that myths of indigeneity and whiteness have never stood still. Through engaging with young people's and youth workers' memory practices, the paper explores how phantasms of whiteness and class loss are traced over, and how this tracing reveals ambivalence and porosity, at the same time as it highlights the continued allure of race. It explores how whiteness and class loss are appropriated across ethnic boundaries and how they are mobilized to produce new forms of racial hierarchy in a ‘super-diverse’ place

Demultiplexing of single-cell RNA-sequencing data using interindividual variation in gene expression

Motivation: Pooled designs for single-cell RNA sequencing, where many cells from distinct samples are processed jointly, offer increased throughput and reduced batch variation. This study describes expression-aware demultiplexing (EAD), a computational method that employs differential co-expression patterns between individuals to demultiplex pooled samples without any extra experimental steps. Results: We use synthetic sample pools and show that the top interindividual differentially co-expressed genes provide a distinct cluster of cells per individual, significantly enriching the regulation of metabolism. Our application of EAD to samples of six isogenic inbred mice demonstrated that controlling genetic and environmental effects can solve interindividual variations related to metabolic pathways. We utilized 30 samples from both sepsis and healthy individuals in six batches to assess the performance of classification approaches. The results indicate that combining genetic and EAD results can enhance the accuracy of assignments (Min. 0.94, Mean 0.98, Max. 1). The results were enhanced by an average of 1.4% when EAD and barcoding techniques were combined (Min. 1.25%, Median 1.33%, Max. 1.74%). Furthermore, we demonstrate that interindividual differential co-expression analysis within the same cell type can be used to identify cells from the same donor in different activation states. By analysing single-nuclei transcriptome profiles from the brain, we demonstrate that our method can be applied to nonimmune cells. Availability and implementation: EAD workflow is available at https://isarnassiri.github.io/scDIV/ as an R package called scDIV (acronym for single-cell RNA-sequencing data demultiplexing using interindividual variations)

Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at √ s = 8 TeV with the ATLAS detector

Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb−1 of √ s = 8 TeV data collected in 2012 with the ATLAS detector at the LHC. Events are required to have at least one jet with pT > 120 GeV and no leptons. Nine signal regions are considered with increasing missing transverse momentum requirements between Emiss T > 150 GeV and Emiss T > 700 GeV. Good agreement is observed between the number of events in data and Standard Model expectations. The results are translated into exclusion limits on models with either large extra spatial dimensions, pair production of weakly interacting dark matter candidates, or production of very light gravitinos in a gauge-mediated supersymmetric model. In addition, limits on the production of an invisibly decaying Higgs-like boson leading to similar topologies in the final state are presente