Politics, Bureaucracies, and Financial Markets: Bank Entry into Commercial Paper Underwriting in the United States and Japan

Americans writing about Japan seem to fall into two camps: those who think the Japanese act according to very different rules than Americans, so that the apparent similarities between the two peoples actually mask deep cultural differences; and those who think that the Japanese and the Americans are really rather similar, so that the obvious cultural differences cover more deep-rooted continuities

Characterisation of paediatric brain tumours by their MRS metabolite profiles

1H‐magnetic resonance spectroscopy (MRS) has the potential to improve the noninvasive diagnostic accuracy for paediatric brain tumours. However, studies analysing large, comprehensive, multicentre datasets are lacking, hindering translation to widespread clinical practice. Single‐voxel MRS (point‐resolved single‐voxel spectroscopy sequence, 1.5 T: echo time [TE] 23–37 ms/135–144 ms, repetition time [TR] 1500 ms; 3 T: TE 37–41 ms/135–144 ms, TR 2000 ms) was performed from 2003 to 2012 during routine magnetic resonance imaging for a suspected brain tumour on 340 children from five hospitals with 464 spectra being available for analysis and 281 meeting quality control. Mean spectra were generated for 13 tumour types. Mann–Whitney U‐tests and Kruskal–Wallis tests were used to compare mean metabolite concentrations. Receiver operator characteristic curves were used to determine the potential for individual metabolites to discriminate between specific tumour types. Principal component analysis followed by linear discriminant analysis was used to construct a classifier to discriminate the three main central nervous system tumour types in paediatrics. Mean concentrations of metabolites were shown to differ significantly between tumour types. Large variability existed across each tumour type, but individual metabolites were able to aid discrimination between some tumour types of importance. Complete metabolite profiles were found to be strongly characteristic of tumour type and, when combined with the machine learning methods, demonstrated a diagnostic accuracy of 93% for distinguishing between the three main tumour groups (medulloblastoma, pilocytic astrocytoma and ependymoma). The accuracy of this approach was similar even when data of marginal quality were included, greatly reducing the proportion of MRS excluded for poor quality. Children's brain tumours are strongly characterised by MRS metabolite profiles readily acquired during routine clinical practice, and this information can be used to support noninvasive diagnosis. This study provides both key evidence and an important resource for the future use of MRS in the diagnosis of children's brain tumours

In Protection of Whose “Wellbeing?” Considerations of “Clauses and A/Effects” in Athlete Contracts

Contractual agreements have become an accepted part of participation processes for athletes in a variety of sport contexts. Closer readings of these contracts,however, pose several questions regarding organizational intentions and motivations,the conceptualization of athletes as "workers," and representation parity. In this article, we draw on four types of athlete contractual documents from both select international "amateur" and "professional" sport settings. Our key considerations include athletes' ownership over their image and identities; medical and health disclosures; lifestyle, behavioral and body choices, and restrictions beyond sport; adherence to organizational philosophy and commitments; and social media and publicity constraints. Our exegesis here encourages sport researchers to deliberate whose "wellbeing" matters most when signing that seductive dotted line

Intrusive Traumatic Re-Experiencing Domain (ITRED) – Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

Background Intrusive Traumatic Re-Experiencing Domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods Data was collected from nine sites taking part in the ENIGMA-PTSD Consortium (n=584) and included itemized PTSD symptoms scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and Trauma-exposed (TE)-only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. Random forest classification model was built on a training set using cross-validation (CV), and the averaged CV model performance for classification was evaluated using area-under-the-curve (AUC). The model was tested using a fully independent portion of the data (test dataset), and the test AUC was evaluated. Results RsFC signatures differentiated TE-only participants from PTSD and from ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and from ITRED-only participants mainly involved default mode network-related pathways. Some unique features, such as connectivity within the frontal-parietal network, differentiated TE-only participants from one group (PTSD or ITRED-only), but to a lesser extent from the other. Conclusion Neural network connectivity supports ITRED as a novel neurobiologically-based approach to classifying post-trauma psychopathology

Coaches as sport workers: professional agency within the employment context of elite European basketball

Increased activity of multiple stakeholders (e.g. agents and owners) have created new challenges for some coaches working in professional sports clubs. The purpose of this project was to draw attention to the normative or accepted practices inherent in sport work, some of the day-to-day realities of some coaches working in this context, and to understand how coaches' perceptions of other stakeholders come to bear on their individual circumstances, career expectations/objectives and professional agency. Data were generated from semi-structured interviews with seven professional basketball coaches who worked in top-level European clubs. The analysis reveals the coach's relationships between some owners and agents differed with respect to exercising professional agency, and, coach's decisions and actions were tied to their professional ideals as well as understandings of what they need to undertake their work effectively and negotiation and/or adjustment strategies. Occasionally coach's work practices could be viewed as antithetical to employment security, however, the presence of insecurity was at times embraced and used strategically to affect workers' career decisions. Amid contemporary regional geo-political shifts, this work aids examinations of global sport settings, structures and issues that may contour sporting professionals' live

Readjusting Our Sporting Sites/Sight: Sportification and the Theatricality of Social Life

This paper points out the potential of using sport for the analysis of society. Cultivated human movement is a specific social and cultural subsystem (involving sport, movement culture and physical culture), yet it becomes a part of wider social discourses by extending some of its characteristics into various other spheres. This process, theorised as sportification, provides as useful concept to examine the permeation of certain phenomena from the area of sport into the social reality outside of sport. In this paper, we investigate the phenomena of sportification which we parallel with visual culture and spectatorship practices in the Renaissance era. The emphasis in our investigation is on theatricality and performativity; particularly, the superficial spectator engagement with modern sport and sporting spectacles. Unlike the significance afforded to visualisation and deeper symbolic interpretation in Renaissance art, contemporary cultural shifts have changed and challenged the ways in which the active and interacting body is positioned, politicised, symbolised and ultimately understood. We suggest here that the ways in which we view sport and sporting bodies within a (post)modern context (particularly with the confounding amalgamations of signs and symbols and emphasis on hyper-realities) has invariably become detached from sports' profound metaphysical meanings and resonance. Subsequently, by emphasising the associations between social theatrics and the sporting complex, this paper aims to remind readers of ways that sport—as a nuanced phenomenon—can be operationalised to help us to contemplate questions about nature, society, ourselves and the complex worlds in which we live

Selective Dynamical Imaging of Interferometric Data

Recent developments in very long baseline interferometry (VLBI) have made it possible for the Event Horizon Telescope (EHT) to resolve the innermost accretion flows of the largest supermassive black holes on the sky. The sparse nature of the EHT's (u, v)-coverage presents a challenge when attempting to resolve highly time-variable sources. We demonstrate that the changing (u, v)-coverage of the EHT can contain regions of time over the course of a single observation that facilitate dynamical imaging. These optimal time regions typically have projected baseline distributions that are approximately angularly isotropic and radially homogeneous. We derive a metric of coverage quality based on baseline isotropy and density that is capable of ranking array configurations by their ability to produce accurate dynamical reconstructions. We compare this metric to existing metrics in the literature and investigate their utility by performing dynamical reconstructions on synthetic data from simulated EHT observations of sources with simple orbital variability. We then use these results to make recommendations for imaging the 2017 EHT Sgr A* data set

A Universal Power-law Prescription for Variability from Synthetic Images of Black Hole Accretion Flows

We present a framework for characterizing the spatiotemporal power spectrum of the variability expected from the horizon-scale emission structure around supermassive black holes, and we apply this framework to a library of general relativistic magnetohydrodynamic (GRMHD) simulations and associated general relativistic ray-traced images relevant for Event Horizon Telescope (EHT) observations of Sgr A*. We find that the variability power spectrum is generically a red-noise process in both the temporal and spatial dimensions, with the peak in power occurring on the longest timescales and largest spatial scales. When both the time-averaged source structure and the spatially integrated light-curve variability are removed, the residual power spectrum exhibits a universal broken power-law behavior. On small spatial frequencies, the residual power spectrum rises as the square of the spatial frequency and is proportional to the variance in the centroid of emission. Beyond some peak in variability power, the residual power spectrum falls as that of the time-averaged source structure, which is similar across simulations; this behavior can be naturally explained if the variability arises from a multiplicative random field that has a steeper high-frequency power-law index than that of the time-averaged source structure. We briefly explore the ability of power spectral variability studies to constrain physical parameters relevant for the GRMHD simulations, which can be scaled to provide predictions for black holes in a range of systems in the optically thin regime. We present specific expectations for the behavior of the M87* and Sgr A* accretion flows as observed by the EHT

Millimeter Light Curves of Sagittarius A* Observed during the 2017 Event Horizon Telescope Campaign

The Event Horizon Telescope (EHT) observed the compact radio source, Sagittarius A* (Sgr A*), in the Galactic Center on 2017 April 5–11 in the 1.3 mm wavelength band. At the same time, interferometric array data from the Atacama Large Millimeter/submillimeter Array and the Submillimeter Array were collected, providing Sgr A* light curves simultaneous with the EHT observations. These data sets, complementing the EHT very long baseline interferometry, are characterized by a cadence and signal-to-noise ratio previously unattainable for Sgr A* at millimeter wavelengths, and they allow for the investigation of source variability on timescales as short as a minute. While most of the light curves correspond to a low variability state of Sgr A*, the April 11 observations follow an X-ray flare and exhibit strongly enhanced variability. All of the light curves are consistent with a red-noise process, with a power spectral density (PSD) slope measured to be between −2 and −3 on timescales between 1 minute and several hours. Our results indicate a steepening of the PSD slope for timescales shorter than 0.3 hr. The spectral energy distribution is flat at 220 GHz, and there are no time lags between the 213 and 229 GHz frequency bands, suggesting low optical depth for the event horizon scale source. We characterize Sgr A*'s variability, highlighting the different behavior observed just after the X-ray flare, and use Gaussian process modeling to extract a decorrelation timescale and a PSD slope. We also investigate the systematic calibration uncertainties by analyzing data from independent data reduction pipelines