Re-Envisioning the Artist Hero Through Two Cole Porter Biopics

Songwriter Cole Porter is unusual in having had two biopics based on his life: Night and Day (1946) starring Cary Grant, and De-Lovely (2004), starring Kevin Kline. The differences in the treatment of the character of Cole Porter between the films are striking, and indicate a change in the way that society envisions its artists, and the very act of creativity. Night and Day was conceived partly as a showcase of Porter's songs, but also as a means of providing inspiration to soldiers returning wounded from World War II, based on Porter's recovery from a traumatic riding accident. It depicts Porter as an everyman following a trajectory of achievement, from having little to great success, which was positioned as easy to emulate. De-Lovely, on the other hand, is about the relationship between Porter and his wife Linda, and the way that his creativity was influenced by his changing relationships with various people. Drawing on the work on biopics of scholars such as G.F.Custen, together with research into the shifting ideas of how creativity operates and is popularly understood, this article uses these biopics as case studies to examine the representation of changing concepts of the artist and the act of creativity through Hollywood film. It also considers how these changing conceptions and representations connect to shifts in American society.

Time-dependent density functional theory study of charge transfer in collisions

We study the charge transfer between colliding ions, atoms, or molecules, within time-dependent density functional theory. Two particular cases are presented, the collision between a proton and a Helium atom, and between a gold atom and a butane molecule. In the first case, proton kinetic energies between 16 keV and 1.2 MeV are considered, with impact parameters between 0.31 and 1.9 angstrom. The partial transfer of charge is monitored with time. The total cross-section is obtained as a function of the proton kinetic energy. In the second case, we analyze one trajectory and discuss spin-dependent charge transfer between the different fragments.

Maternal stress and behavior modulate relationships between neonatal stress, attention, and basal cortisol at 8 months in preterm infants

There is evidence that the developmental trajectory of cortisol secretion in preterm infants is altered, with elevated basal cortisol levels observed postnatally through at least 18 months corrected age (CA). This alteration is possibly due to neonatal pain-related stress. High cortisol levels might contribute to greater risk of impaired neurodevelopment. Since maternal factors are important for the regulation of infant stress responses, we investigated relationships between infant (neonatal pain-related stress, attention, cortisol) and maternal (stress, interactive behaviors) factors at age 8 months CA. We found that interactive maternal behaviors buffered the relationship between high neonatal pain-related stress exposure and poorer focused attention in mothers who self-reported low concurrent stress. Furthermore, in preterm infants exposed to high concurrent maternal stress and overwhelming interactive maternal behaviors, higher basal cortisol levels were associated with poor focused attention. Overall, these findings suggest that maternal factors can influence the cognitive resilience at 8 months of preterm infants exposed to early life stress.

Altered basal cortisol levels at 3, 6, 8 and 18 months in infants born at extremely low gestational age

Little is known about the developmental trajectory of cortisol levels in preterm infants after hospital discharge.

Professionals delivering palliative care to people with COPD: qualitative study

This article describes health and social care professionals' perceptions of palliative care and facilitators and barriers to the delivery of such care for patients with advanced chronic obstructive pulmonary disease. Health professionals participated in semi structured interviews and focus groups which were analysed using content analysis. According to participants, care of patients with chronic obstructive pulmonary disease is focused upon the management of symptoms, with emphasis focused predominately on an acute model of care. Key barriers towards the delivery of palliative care included the reluctance to negotiatie end-of-life decisions and a perceived lack of understanding among patients and carers regarding the illness trajectory. Consequently the delivery of palliative care was viewed as a specialist role rather than an integral component of care. There is a need for education and training for health and social care professions to plan and provide high quality end-of-life care.

Active carers: living with chronic obstructive pulmonary disease

It has long been recognised that the majority of care provided in chronic illness comes not from health and social care professionals, but from family and friends. One such illness is chronic obstructive pulmonary disease (COPD), a leading cause of morbidity and mortality in the developed world.To explore the specific care needs of informal caregivers of patients with advanced COPD, interviews were conducted with seven active family caregivers. Interviews were taped, transcribed and content analysed to obtain the caregivers' needs. Results confirm that family caregivers provide direct care with little support and assistance. Participants reported restricted activities of daily living and some emotional distress. There were knowledge deficiencies among caregivers relating to the COPD illness trajectory and little awareness of the potential of palliative care. Family caregivers need social and professional support while caring for a patient at home. This would help to ensure that their physical and emotional health does not suffer. There is a need to devise interventions to ensure family caregivers are supported.

I can't get a breath: experiences of living with advanced chronic obstructive pulmonary disease

This study aims to explore the potential for palliative care among people living with advanced chronic obstructive pulmonary disease (COPD). Individual semi-structured interviews (n=13) were conducted with people who had a diagnosis of advanced COPD and were on optimal tolerated drug therapy, with their breathing volume (forced expiratory volume at less than 30%) or were on long-term oxygen therapy or non-invasion ventilation. Participants raised concerns about the uncertain trajectory of the illness and reported unmet palliative care needs with poor access to palliative care services. For most people, palliative care was associated with end of life; therefore, they were unwilling to discuss the issue. There was a wide acceptance that, medically, nothing more could be done. Findings also suggest that patients had unmet palliative care needs, requiring information and support. The research suggests the need for palliative care to be extended to all (regardless of diagnosis), with packages of care developed to target specific needs.

The role of areas MT+/V5 and SPOC in spatial and temporal control of manual interception: an rTMS study

Manual interception, such as catching or hitting an approaching ball, requires the hand to contact a moving object at the right location and at the right time. Many studies have examined the neural mechanisms underlying the spatial aspects of goal-directed reaching, but the neural basis of the spatial and temporal aspects of manual interception are largely unknown. Here, we used repetitive transcranial magnetic stimulation (rTMS) to investigate the role of the human middle temporal visual motion area (MT+/V5) and superior parieto-occipital cortex (SPOC) in the spatial and temporal control of manual interception. Participants were required to reach-to-intercept a downward moving visual target that followed an unpredictably curved trajectory, presented on a screen in the vertical plane. We found that rTMS to MT+/V5 influenced interceptive timing and positioning, whereas rTMS to SPOC only tended to increase the spatial variance in reach end points for selected target trajectories. These findings are consistent with theories arguing that distinct neural mechanisms contribute to spatial, temporal, and spatiotemporal control of manual interception.

Using sketch-map coordinates to analyze and bias molecular dynamics simulations

When examining complex problems, such as the folding of proteins, coarse grained descriptions of the system drive our investigation and help us to rationalize the results. Oftentimes collective variables (CVs), derived through some chemical intuition about the process of interest, serve this purpose. Because finding these CVs is the most difficult part of any investigation, we recently developed a dimensionality reduction algorithm, sketch-map, that can be used to build a low-dimensional map of a phase space of high-dimensionality. In this paper we discuss how these machine-generated CVs can be used to accelerate the exploration of phase space and to reconstruct free-energy landscapes. To do so, we develop a formalism in which high-dimensional configurations are no longer represented by low-dimensional position vectors. Instead, for each configuration we calculate a probability distribution, which has a domain that encompasses the entirety of the low-dimensional space. To construct a biasing potential, we exploit an analogy with metadynamics and use the trajectory to adaptively construct a repulsive, history-dependent bias from the distributions that correspond to the previously visited configurations. This potential forces the system to explore more of phase space by making it desirable to adopt configurations whose distributions do not overlap with the bias. We apply this algorithm to a small model protein and succeed in reproducing the free-energy surface that we obtain from a parallel tempering calculation.

Locating binding poses in protein-ligand systems using reconnaissance metadynamics

A molecular dynamics-based protocol is proposed for finding and scoring protein-ligand binding poses. This protocol uses the recently developed reconnaissance metadynamics method, which employs a self-learning algorithm to construct a bias that pushes the system away from the kinetic traps where it would otherwise remain. The exploration of phase space with this algorithm is shown to be roughly six to eight times faster than unbiased molecular dynamics and is only limited by the time taken to diffuse about the surface of the protein. We apply this method to the well-studied trypsin-benzamidine system and show that we are able to refind all the poses obtained from a reference EADock blind docking calculation. These poses can be scored based on the length of time the system remains trapped in the pose. Alternatively, one can perform dimensionality reduction on the output trajectory and obtain a map of phase space that can be used in more expensive free-energy calculations.

Simplifying the representation of complex free-energy landscapes using sketch-map

A new scheme, sketch-map, for obtaining a low-dimensional representation of the region of phase space explored during an enhanced dynamics simulation is proposed. We show evidence, from an examination of the distribution of pairwise distances between frames, that some features of the free-energy surface are inherently high-dimensional. This makes dimensionality reduction problematic because the data does not satisfy the assumptions made in conventional manifold learning algorithms We therefore propose that when dimensionality reduction is performed on trajectory data one should think of the resultant embedding as a quickly sketched set of directions rather than a road map. In other words, the embedding tells one about the connectivity between states but does not provide the vectors that correspond to the slow degrees of freedom. This realization informs the development of sketch-map, which endeavors to reproduce the proximity information from the high-dimensionality description in a space of lower dimensionality even when a faithful embedding is not possible.

A self-learning algorithm for biased molecular dynamics

A new self-learning algorithm for accelerated dynamics, reconnaissance metadynamics, is proposed that is able to work with a very large number of collective coordinates. Acceleration of the dynamics is achieved by constructing a bias potential in terms of a patchwork of one-dimensional, locally valid collective coordinates. These collective coordinates are obtained from trajectory analyses so that they adapt to any new features encountered during the simulation. We show how this methodology can be used to enhance sampling in real chemical systems citing examples both from the physics of clusters and from the biological sciences.

Why the size structure of marine communities can require decades to recover from fishing

A dynamic food-web model of more than 1000 species was used to quantify the recovery trajectory of marine community size-structure under different hypothetical fishing regimes, using the Northeast Atlantic as an example. Size-structure was summarised by four indicators: the Large Fish Indicator (LFI), the Large Species Indicator (LSI), the biomass-weighted mean maximum length of fish species (EMBED Equation.3) and the biomass-weighted mean maturation length of fish species (EMBED Equation.3). Time-series of these indicators recorded recovery following release from fishing with various size-selectivities, intensities and durations. In model simulations, fishing-induced trophic cascades were observed to distort fish community size-structure, but these did not have a large influence on recovery level or duration as measured by the four indicators. However, simulations showed that local extinctions of large fish species increased in number with both fishing intensity and duration, and could strongly limit the recovery level. Recovery of fish community size-structure to near equilibrium frequently took multiple decades in simulations; these long transient periods suggest that management interventions for size-structure recovery may require much longer than previously thought. Our results demonstrate the need for community-level modelling to set realistic targets for management of community size-structure.

Gendered Spaces and Wounded Bodies: Yamina Benguigui's 'Inch'Allah Dimanche'

Yamina Benguigui is a pioneer in the representation of Maghrebi immigration to France, and has produced a number of works of documentary and fictional film on the subject. This article discusses her fictional film Inch'Allah dimanche (2001). The film portrays the trajectory of a young woman, Zouina, who takes her children and mother-in-law to join her husband in France. The film is unique for its close focus on the space of the home, and the negotiation of gendered spaces within the strict confines set by Zouina's husband. In this article, I consider Zouina's tentative steps towards emancipation from these confines, focusing on preconceived notions of gendered spaces across different cultures. I consider possible interpretations of the final moment of wounding in the film, in which Zouina breaks through a window with her bare hands, destroying the barrier between the interior, private space of the home and the exterior, public space of the street.

Modelling trajectories through the educational system in North West England

The main aim of this paper is to identify those school-level and locality-level factors that significantly affect each of the three stages in a young adult's educational trajectory in North West England: GCSE results, track taken at age 16 and 'A'-level scores. By applying three-level models to data collected as part of the EFFNATIS project, we find no evidence of any locality-level effects. Overall, none of the explanatory variables conventionally considered to affect educational attainment had a consistent effect across all three stages. Rather, each explanatory variable had a contingent effect at specific points within the overall trajectory of educational outcomes.