HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty

The way we perceive a sound depends on many aspects-- its ecological frequency, acoustic features, typicality, and most notably, its identified source. In this paper, we present the HCU400: a dataset of 402 sounds ranging from easily identifiable everyday sounds to intentionally obscured artificial ones. It aims to lower the barrier for the study of aural phenomenology as the largest available audio dataset to include an analysis of causal attribution. Each sample has been annotated with crowd-sourced descriptions, as well as familiarity, imageability, arousal, and valence ratings. We extend existing calculations of causal uncertainty, automating and generalizing them with word embeddings. Upon analysis we find that individuals will provide less polarized emotion ratings as a sound's source becomes increasingly ambiguous; individual ratings of familiarity and imageability, on the other hand, diverge as uncertainty increases despite a clear negative trend on average

Possible detection of two giant extrasolar planets orbiting the eclipsing polar UZ Fornacis

We present new high-speed, multi-observatory, multi-instrument photometry of the eclipsing polar UZ For in order to measure precise mid-eclipse times with the aim of detecting any orbital period variations. When combined with published eclipse times and archival data spanning ~27 years, we detect departures from a linear and quadratic trend of ~60 s. The departures are strongly suggestive of two cyclic variations of 16(3) and 5.25(25) years. The two favoured mechanisms to drive the periodicities are either two giant extrasolar planets as companions to the binary (with minimum masses of 6.3(1.5)M(Jupiter) and 7.7(1.2)M(Jupiter)) or a magnetic cycle mechanism (e.g. Applegate's mechanism) of the secondary star. Applegate's mechanism would require the entire radiant energy output of the secondary and would therefore seem to be the least likely of the two, barring any further refinements in the effect of magnetic fieilds (e.g. those of Lanza et al.). The two planet model can provide realistic solutions but it does not quite capture all of the eclipse times measurements. A highly eccentric orbit for the outer planet would fit the data nicely, but we find that such a solution would be unstable. It is also possible that the periodicities are driven by some combination of both mechanisms. Further observations of this system are encouraged.Comment: 10 pages, 4 figures, 2 table

“Attending to History” in Major System Change in Healthcare in England: Specialist Cancer Surgery Service Reconfiguration

BACKGROUND: The reconfiguration of specialist hospital services, with service provision concentrated in a reduced number of sites, is one example of major system change (MSC) for which there is evidence of improved patient outcomes. This paper explores the reconfiguration of specialist oesophago-gastric (OG) cancer surgery services in a large urban area of England (Greater Manchester, GM), with a focus on the role of history in this change process and how reconfiguration was achieved after previous failed attempts. METHODS: This study draws on qualitative research from a mixed-methods evaluation of the reconfiguration of specialist cancer surgery services in GM. Forty-six interviews with relevant stakeholders were carried out, along with ~160 hours of observations at meetings and the acquisition of ~300 pertinent documents. Thematic analysis using deductive and inductive approaches was undertaken, guided by a framework of 'simple rules' for MSC. RESULTS: Through an awareness of, and attention to, history, leaders developed a change process which took into account previous unsuccessful reconfiguration attempts, enabling them to reduce the impact of potentially challenging issues. Interviewees described attending to issues involving competition between provider sites, change leadership, engagement with stakeholders, and the need for a process of change resilient to challenge. CONCLUSION: Recognition of, and response to, history, using a range of perspectives, enabled this reconfiguration. Particularly important was the way in which history influenced and informed other aspects of the change process and the influence of stakeholder power. This study provides further learning about MSC and the need for a range of perspectives to enable understanding. It shows how learning from history can be used to enable successful change

Exome sequencing identifies nfs1 deficiency in a novel fe-s cluster disease, infantile mitochondrial complex ii/iii deficiency

Iron-sulfur (Fe-S) clusters are a class of highly conserved and ubiquitous prosthetic groups with unique chemical properties that allow the proteins that contain them, Fe-S proteins, to assist in various key biochemical pathways. Mutations in Fe-S proteins often disrupt Fe-S cluster assembly leading to a spectrum of severe disorders such as Friedreich’s ataxia or iron-sulfur cluster assembly enzyme (ISCU) myopathy. Herein, we describe infantile mitochondrial complex II/III deficiency, a novel autosomal recessive mitochondrial disease characterized by lactic acidemia, hypotonia, respiratory chain complex II and III deficiency, multisystem organ failure and abnormal mitochondria. Through autozygosity mapping, exome sequencing, in silico analyses, population studies and functional tests, we identified c.215G\u3eA, p.Arg72Gln in NFS1 as the likely causative mutation. We describe the first disease in man likely caused by deficiency in NFS1, a cysteine desulfurase that is implicated in respiratory chain function and iron maintenance by initiating Fe-S cluster biosynthesis. Our results further demonstrate the importance of sufficient NFS1 expression in human physiology

TESS observations of the asynchronous polar CD Ind: mapping the changing accretion geometry

We present the results of near continuous TESS optical observations of the asynchronous polar CD Ind (RX J2115-5840). The 27.9 d long light curve, with 2 min resolution, reveals remarkable changes in the magnetic accretion geometry of the system over the 7.3 d beat period. We have modelled the changes in the optical spin period pulse shape using a cyclotron emission mapping technique. The resulting cyclotron emission maps of the magnetic white dwarf reveal how the accretion geometry changes from single- to two-pole accretion and back over the beat cycle. Finally, we present the results from particle-based numerical magnetic accretion simulations, which agree with our interpretation of the changing accretion scenario

Bayesian inference of biochemical kinetic parameters using the linear noise approximation

Background Fluorescent and luminescent gene reporters allow us to dynamically quantify changes in molecular species concentration over time on the single cell level. The mathematical modeling of their interaction through multivariate dynamical models requires the deveopment of effective statistical methods to calibrate such models against available data. Given the prevalence of stochasticity and noise in biochemical systems inference for stochastic models is of special interest. In this paper we present a simple and computationally efficient algorithm for the estimation of biochemical kinetic parameters from gene reporter data. Results We use the linear noise approximation to model biochemical reactions through a stochastic dynamic model which essentially approximates a diffusion model by an ordinary differential equation model with an appropriately defined noise process. An explicit formula for the likelihood function can be derived allowing for computationally efficient parameter estimation. The proposed algorithm is embedded in a Bayesian framework and inference is performed using Markov chain Monte Carlo. Conclusion The major advantage of the method is that in contrast to the more established diffusion approximation based methods the computationally costly methods of data augmentation are not necessary. Our approach also allows for unobserved variables and measurement error. The application of the method to both simulated and experimental data shows that the proposed methodology provides a useful alternative to diffusion approximation based methods

Digital vs paper data collection : benefits for in-hospital haemodialysis patients

Patients on haemodialysis (HD) face complex care pathways, high treatment burden and reduced quality-of-life. A reliable method of assessing and collecting patient-related outcome measures (PROMs) has proven difficult. We asked what the benefits and disadvantages of digital data collection over paper with this population are. Working with multidisciplinary domain experts in the NHS Greater Glasgow and Clyde health board (Scotland) over several iterative development cycles we designed, developed, and evaluate a system with HD patients. A case study was conducted with multidisciplinary experts and patients, using interviews (n=20) combined with the System Usability Scale (n=26). Patients' feedback and system use observations were used to further refine the system design requirements and functionalities. A wide preference for tablet-based input vs paper was noted and self-completed digital data collection overcame situational impairment and promoted patient independence and privacy. Perceived value must be maintained to secure engagement and conventional alternatives offered where appropriate