Characterising Free-Range Layer Flocks Using Unsupervised Cluster Analysis

This study aimed to identify sub-populations of free-range laying hens and describe the pattern of their resource usage, which can affect hen performance and welfare. In three commercial flocks, 3125 Lohmann Brown hens were equipped with radio-frequency identification (RFID) transponder leg bands and placed with their flock companions, resulting in a total of 40,000 hens/flock. Hens were monitored for their use of the aviary system, including feeder lines, nest boxes, and the outdoor range. K-means and agglomerative cluster analysis, optimized with the Calinski-Harabasz Criterion, was performed and identified three clusters. Individual variation in time duration was observed in all the clusters with the highest individual differences observed on the upper feeder (140 ± 1.02%) and the range (176 ± 1.03%). Hens of cluster 1 spent the least amount time on the range and the most time on the feed chain located at the upper aviary tier (p < 0.05). We conclude that an uneven load on the resources, as well as consistent and inconsistent movement patterns, occur in the hen house. Further analysis of the data sets using classification models based on support vector machines, artificial neural networks, and decision trees are warranted to investigate the contribution of these and other parameters on hen performance.

New molecular species at redshift z = 0.89

We present the first detections of CH₃SH, C₃H⁺, C₃N, HCOOH, CH₂CHCN, and H₂CN in an extragalactic source. Namely the spiral arm of a galaxy located at z = 0.89 on the line of sight to the radio-loud quasar PKS 1830-211. OCS, SO₂, and NH₂CN were also detected, raising the total number of molecular species identified in that early time galaxy to 54, not counting isotopologues. The detections were made in absorption against the SW quasar image, at 2 kpc from the galaxy centre, over the course of a Q band spectral line survey made with the Yebes 40 m telescope (rest-frame frequencies: 58.7-93.5 GHz). We derived the rotational temperatures and column densities of those species, which are found to be subthermally excited. The molecular abundances, and in particular the large abundances of C₃H⁺ and of several previously reported cations, are characteristic of diffuse or translucent clouds with enhanced UV radiation or strong shocks.

Abundance and traits link predator ontogeny to prey communities

Function and abundances shape species interactions and thus ecological communities. While communities are often summarized as the mean function of each species, intraspecific variation in traits and thus function is an important driver of community composition. Ontogeny is a common source of intraspecific variation, but while age-related functional changes can alter species interactions, so too can the effects of those functions on the density of the focal organism. For instance, ontogenetic variation can trigger higher levels of cannibalism, reducing abundances and altering interspecific interactions. I manipulate ontogenetic variation in damselfly larvae to show that intraspecific variation can impact communities through two distinct mechanisms. First, within-species differences affect population sizes, and thus indirectly shape communities (indirect effect). In particular, ontogenetic variation resulted in smaller damselfly populations, likely because of increased cannibalism rates, and thus ontogenetically diverse populations had a smaller total effect on their prey. Second, trait variation can affect communities by creating differences in the strength of per capita species interactions (direct effect). In this case, damselfly populations with greater age variation had smaller per capita effects on prey communities. I conclude that ontogeny of a single species can directly and indirectly shape community composition.

Biological variation of metabolic cardiovascular risk factors in haemodialysis patients and healthy individuals

Background

Maintenance haemodialysis (HD) is associated with a very high cardiovascular risk and the assessment of metabolic cardiovascular risk factors is essential for an adequate diagnosis and management. The aim of the study has been to estimate the biological variation (BV) of serum lipids, calcium, inorganic phosphorus, 25-OH vitamin D, C-reactive protein and plasma intact parathyroid hormone (PTHi) and total homocysteine, to evaluate whether HD alter the homeostatic set-point of these magnitudes.

Methods

Blood samples were collected from 18 HD patients in steady-state conditions, one per month during 6 months, and from 11 healthy volunteers at weekly intervals over 5 weeks. BV data were derived using CV-ANOVA.

Results

Within-subject coefficients of variation (CVI) and derived reference change values (RCV) estimated in HD patients were significantly higher than in healthy individuals for calcium (CVI =3.8% vs. 2.3%) (RCV =12.6% vs. 7.6%), inorganic phosphorus (13.1% vs. 8.0%) (RCV =38.7% vs. 30.1%) and PTHi (20.3% vs. 11.3%) (RCV =57.5% vs. 34.0%).

Conclusions

For calcium, inorganic phosphorus and PTHi, RCV derived from advanced disease-specific BV data is recommended for the management of bone-mineral disturbances in HD patients. For the rest of cardiovascular risk factors, the use of RCV derived from healthy individuals could be appropriate.

Application of In-Paddock Technologies to Monitor Individual Self-Fed Supplement Intake and Liveweight in Beef Cattle

Simple Summary

Individual, daily and simultaneous measures of key variables to manage cattle have been traditionally difficult to achieve in grazing animals. However, nowadays, this could be achieved using technologies which are placed ‘in paddock’ such as automated weighing scales to measure liveweight (LW) and electronic feeders (EF) to measure supplement intake. We used both technologies to study the interplay between the intake of a self-fed supplement (molasses-lick blocks, MLB), growth, and feeding behavior of individual animals fed a sequence of different feed types. We identified a large individual variability in MLB intake with some animals consuming supplement regularly while others not consuming supplement at all. Regular consumers tended to grow more rapidly. Additionally, our results indicate that animals’ MLB intake can be predicted using the number of visits to the EF and their duration. In-paddock technologies could aid to quantify key factors, such as individual variability of supplement intake and LW, that would otherwise remain undetected.

Abstract

The aim of this study was to assess the ability of in-paddock technologies to capture individual variability of self-fed supplement intake (molasses-lick blocks, MLB), feeding behavior, and liveweight (LW) in grazing beef cattle. An electronic feeder (EF) and in-paddock walk-over-weighing system (WOW) were installed to measure, daily and simultaneously, individual MLB intake and LW. Cattle grazed (pastures and oat crops) and were fed (lucerne and oaten hay) during a 220 day trial. Over the entire period, we were able to quantify a large variability in MLB intake between individuals (p < 0.01; ranging from 0 to 194 g/hd per day). Liveweight change (p < 0.05, R = 0.44) and feeding behaviour (e.g., feeding frequency and duration, p < 0.01; R² > 0.86) were positively correlated with MLB intake over the entire period but these correlations seemed to be affected by the type of feed. The intake of MLB seems to be explained by the individual behaviour of animals rather than the entire group. The use of in-paddock technologies enabled remote measurement of variability in supplement intake and cattle growth. The ability to monitor LW and feeding behavior of individual animals in a group could allow automatic individualized feeding of grazing cattle (amount and type of supplement) and managing low-performing animals under grazing conditions.

Exploring Primary Healthcare Students and Their Mentors' Awareness of Mentorship and Clinical Governance as Part of a Local Continuing Professional Development (CPD) Program: Findings of a Quantitative Survey

Introduction: Previous research exploring the benefits of mentoring and the place of clinical governance in enhancing care delivery illustrated an unexplored synonymous relationship between mentors and mentees (students at undergraduate and postgraduate levels) and its potential impact on patient safety and quality of care. The significance of the research was in recognizing the importance the role of the mentor can play in raising awareness of patient safety and clinical governance principles and processes in the primary healthcare setting. Aims: Building on this preliminary research, this research aimed to explore primary healthcare workers and their mentor’s awareness of mentorship and clinical governance as part of a local Continuing Professional Development (CPD) program. Furthermore, it aimed to establish any relationship between the mentors, the mentee, and their awareness and application of clinical governance in the primary healthcare setting. Methodology: A quantitative research design using a survey was adopted. Data Collection Instrument: The researchers integrated previously validated questionnaires incorporating a Mentor Potential Scale, the Dimensions of Mentoring, and a Clinical Governance Awareness Questionnaire into a new questionnaire. This was called “Mentorship and Clinical Governance Awareness”. Sample: Convenience sample surveys were posted to complete and return to 480 primary healthcare workers undertaking post graduate study. Findings: A total of 112 completed questionnaires were included for the analysis amounting to a 23% response rate. A principle component factor analysis combining part 1— the characteristics of an effective mentor and part 2—the personality characteristics of an effective mentor identified four primary characteristics. These are: (1) “A Facilitatory Adviser”, (2) “Critically Enabling Facilitator”, (3) “A Change Facilitator”, and 4) “An Approachable Facilitator”. These newly identified characterizations according to the primary healthcare workers significantly impacted on their awareness and application of clinical governance in primary healthcare practice. Implications for primary healthcare practice and education: The newly devised questionnaire can be used to gauge the effectiveness of mentors and mentoring and how the characteristics of the role can impact on mentee’s awareness and application of clinical governance. Healthcare manager’s, leaders, and educators should focus their attention on how these newly established characteristics of the mentor can influence clinical governance awareness and application in healthcare the future.

Influence of collisions on ion dynamics in the inner comae of four comets

CONTEXT

Collisions between cometary neutrals in the inner coma of a comet and cometary ions that have been picked up into the solar wind flow and return to the coma lead to the formation of a broad inner boundary known as a collisionopause. This boundary is produced by a combination of charge transfer and chemical reactions, both of which are important at the location of the collisionopause boundary. Four spacecraft measured ion densities and velocities in the inner region of comets, exploring the part of the coma where an ion-neutral collisionopause boundary is expected to form.

AIMS

The aims are to determine the dominant physics behind the formation of the ion-neutral collisionopause and to evaluate where this boundary has been observed by spacecraft.

METHODS

We evaluated observations from three spacecraft at four different comets to determine if a collisionopause boundary was observed based on the reported ion velocities. We compared the measured location of the ion-neutral collisionopause with measurements of the collision cross sections to evaluate whether chemistry or charge exchange are more important at the location where the collisionopause is observed.

RESULTS

Based on measurements of the cross sections for charge transfer and for chemical reactions, the boundary observed by Rosetta appears to be the location where chemistry becomes the more probable result of a collision between H2O and H2O+ than charge exchange. Comparisons with ion observations made by Deep Space 1 at 19P/Borrelly and Giotto at 1P/Halley and 26P/Grigg-Skjellerup show that similar boundaries were observed at 19P/Borrelly and 1P/Halley. The ion composition measurements made by Giotto at Halley confirm that chemistry becomes more important inside of this boundary and that electron-ion dissociative recombination is a driver for the reported ion pileup boundary.

Individual and neighborhood predictors of retention in care and viral suppression among Florida youth (aged 13-24) living with HIV in 2015

Youth aged 13‒24 are less likely to be retained in HIV care and be virally suppressed than older age groups. This study aimed to assess predictors of retention in HIV care and viral suppression among a population-based cohort of youth (N = 2872) diagnosed with HIV between 1993 and 2014 in Florida. We used generalized estimating equations to estimate prevalence ratios (PRs). Retention in care was defined as evidence of engagement in care (at least one laboratory test, physician visit, or antiretroviral therapy prescription refill), two or more times, at least three months apart during 2015. Viral suppression was defined as having evidence of a viral load <200 copies/ml among those in care during 2015. Among the 2872 youth, 65.4% were retained in care, and among those in care, 65.0% were virally suppressed. Older youth (18‒24 years old) and non-Hispanic Blacks (NHBs) were less likely to be retained in care, whereas those men who have sex with men, perinatal HIV transmission, living in low socioeconomic neighborhoods, and those diagnosed with AIDS before 2016 were more likely to be retained in care. Those diagnosed with AIDS before 2016 and NHBs were less likely to be virally suppressed, whereas those men who have sex with men and foreign-born persons were more likely to be virally suppressed. Results suggest the need for targeted retention and viral suppression interventions for NHB youth and older youth (18‒24 years-age).

Application of an Improved Model for Accident Analysis: A Case Study

An improved accident causation model which demonstrates the relationships among different causal factors was proposed in this study. It provides a pathway for accident analysis from the individual level to the organizational level. Unsafe acts and conditions determined by individuals’ poor safety knowledge, low safety awareness, bad safety habits, etc. are the immediate causes of an accident. Deficiencies in safety management systems and safety culture remain the root causes, which can cause consequences at the individual level. Moreover, the weaknesses of an organization’s safety culture can have a great impact on the formation of a good safety climate and can further lead to poor decision-making and implementation of procedures in the safety management system. In order to contribute to a better perception and understanding of the accident causation model, one typical case in the process industry, the oil leak and explosion of the Sinopec Donghuang pipelines, was selected for this study. The causality from immediate causes to root causes is demonstrated in sequence and can be shown in this model explicitly and logically. Several important lessons are summarized from the results and targeted measures can be taken to avoid similar mistakes in the future. This model provides a clear and resourceful method for the safety and risk practitioner’s toolkit in accident investigation and analysis, and the organization can use it as a tool to conduct staff trainings and thus to keep accidents under control.

Identifying and Addressing Individuals Resistant to Behavioral Lifestyle Treatment

The prevention and treatment of lifestyle disease involves overlapping factors. Those at the highest risk for the development of lifestyle disease are also at the highest risk for poor treatment outcomes. Although behavioral treatment of lifestyle disease has demonstrated efficacy on average, considerable individual variation exists in treatment response. In clinical settings, individuals unresponsive to treatment are typically provided escalated care. Community-based care is designed to reach high-risk populations unlikely to seek medical care. However, in community settings escalated treatment options are not usually available for individuals unresponsive to treatment. Addressing this gap is imperative to improve health outcomes of high-risk populations and to identify individuals who may be resistant to behavioral lifestyle treatment.

Inequality in resource allocation and population dynamics models

The Hassell model has been widely used as a general discrete-time population dynamics model that describes both contest and scramble intraspecific competition through a tunable exponent. Since the two types of competition generally lead to different degrees of inequality in the resource distribution among individuals, the exponent is expected to be related to this inequality. However, among various first-principles derivations of this model, none is consistent with this expectation. This paper explores whether a Hassell model with an exponent related to inequality in resource allocation can be derived from first principles. Indeed, such a Hassell model can be derived by assuming random competition for resources among the individuals wherein each individual can obtain only a fixed amount of resources at a time. Changing the size of the resource unit alters the degree of inequality, and the exponent changes accordingly. As expected, the Beverton-Holt and Ricker models can be regarded as the highest and lowest inequality cases of the derived Hassell model, respectively. Two additional Hassell models are derived under some modified assumptions.

The Information Needs of Adolescent Idiopathic Scoliosis Patients and Their Parents in the UK: An Online Survey

Patients’ involvement in decision-making regarding their own health care is considered to be of great importance. However, their information needs are frequently reported to be unfulfilled. Few studies have investigated the knowledge, information and support needs of adolescent idiopathic scoliosis (AIS) patients and their families. Furthermore, previous studies have predominantly focussed on information needs relating to surgery. No previous studies have been conducted to specifically identify the information needs of AIS patients and their families. An online survey consisting of 18 questions was conducted to investigate the information needs of AIS patients and their families. Completed surveys of 83 participants (76 female, 7 male) from 44 differing postcode areas were analysed. The mean age of the respondents with scoliosis was 13.3 years (SD = 1.9; range = 10–18). Participants identified with feelings including worry, anxiety and being upset. The main information needs related to the cause and prognosis of the condition. Where participants had received information, there were contrasting views of the quality. The findings of this study stress the necessity for information materials to be accurate and applicable to each individual patient. Furthermore, the information should be presented in such a way as to be easily understandable, yet contain the necessary information required by AIS patients and their families.

Minimal Thermal Requirements for Development and Activity of Stored Product and Food Industry Pests (Acari, Coleoptera, Lepidoptera, Psocoptera, Diptera and Blattodea): A Review

Low temperatures play an important role in arthropods because they affect both the individual and population development of all physiological and behavioural activities. Manipulation with low temperatures is a primary nonchemical pest control method. For stored product and food industry practitioners, a knowledge of pest thermal requirements, in particular threshold temperatures at which development and other activities of a particular pest species cease, is of crucial importance. This review presents summary data regarding the lower temperature thresholds of 121 species of stored product and food industry pests from six arthropod taxa (Acari, Coleoptera, Lepidoptera, Psocoptera, Diptera, and Blattodea). In particular, this review collected and summarized information regarding the lower development thresholds, lower population thresholds, lower acoustic or respiratory thresholds, lower walking and flying thresholds and lower trap capture thresholds for flying and walking arthropods. The average lower development threshold (LDT) differed among orders: the lowest was reported for Acari (6.8 °C) and Diptera (8.1 °C), followed by Lepidoptera (11.3 °C) and Psocoptera (13.8 °C), and the highest was reported for Coleoptera (14 °C) and Blattodea (15 °C). An exclusion-function was established showing the percentage of pest species (n = 112) that were developmentally suppressed (excluded) due to temperatures reaching the LDT in the range of decreasing temperatures from 25 °C to 0 °C. We scaled various temperature thresholds from the lowest to highest temperature as follows: the walking threshold, the trap capture threshold for walking insects, the lower development threshold, lower population threshold, lower flying threshold and the lower trap capture threshold for flying pests. Important pest species were identified for which information regarding the lower temperature threshold is missing, or for which the information is too variable and should be refined in future research.

Evaluation of the research capacity and culture of allied health professionals in a large regional public health service

Purpose

The first aim of this study was to evaluate the current research capacity and culture among allied health professionals (AHPs) working in a large regional health service. The second aim of this study was to undertake principal component analyses (PCAs) to determine key components influencing our research capacity and culture.

Patients and methods

As part of a cross-sectional observational study, the Research Capacity and Culture (RCC) tool was administered to AHPs working in Gold Coast Health to measure self-reported research capacity and culture across Organization, Team, and Individual domains, including barriers to and motivators for performing research. An exploratory PCA was performed to identify key components influencing research capacity and culture in each of the three domains, and the results were compared with the findings of a previous study performed in a large metropolitan health district.

Results

This study found moderate levels of research capacity and culture across all domains, with higher scores (median, IQR) reported for the Organization domain (7,5–8) compared to the Team (6,3–8) and Individual domains (5,2–7). Two components were identified in each domain. Components in the Organization domain included “research culture” and “research infrastructure”; components in the Team domain included “valuing and sharing research” and “supporting research”; and components in the Individual domain included “skills for conducting research” and “skills for searching and critiquing the literature”. These components were found to be highly correlated with each other, with correlations between components within each domain ranging from 0.459 to 0.702.

Conclusion

The results of this study reinforce the need for an integrated “whole of system” approach to research capacity building. Ongoing investment in tailored support and infrastructure is required to maintain current areas of strengths and build on identified areas of weakness at the level of organizations, teams, and individual AHPs, and consideration should also be given as to how support across these three levels is integrated.

Comparing individual and peer education on the constructs of theory of planned behavior in mammography

INTRODUCTION

Breast cancer is the most common cancer in women. It can be diagnosed in the first stage by screening. One of the methods for screening breast cancer is mammography. Mammography as a health behavior needs education. The theory of planned behavior examines the factors associated with the behavior.

AIM

This research was conducted to compare the individual and peer education on the constructs of the theory of planned behavior in mammography.

METHODS

This study was a clinical trial. A total of 100 women who attending the selected health centers of Isfahan city were classified randomly into two groups: peer and individual education. Education was based on the constructs of the theory of planned behavior (attitude relative to the mammography behavior, subjective norms, perceived behavioral control, and behavioral intention). The data were collected using a researcher-made questionnaire. Data were analyzed using descriptive-analytical statistics.

RESULTS

The mean score of attitude toward behavior in the individual education group was significantly higher than peer education (P < 0.05). In addition, the average score of subjective norms in peer education group was significantly higher than individual education (P < 0.05). The mean scores of perceived behavioral control constructs and behavioral intention were not significantly different (P > 0.05).

DISCUSSION

The results of this study showed the effectiveness of education (individual and peer) based on the theory of planned behavior on attitude toward behavior, subjective norms, perceived behavioral control, and behavioral intention related to performing mammography in women. It seems that using educational intervention can be useful to promote the screening behaviors of breast cancer. In general, there were no significant differences between the two methods in changing theoretical constructs.

Unique Mapping of Structural and Functional Connectivity on Cognition

The unique mapping of structural brain connectivity (SC) and functional brain connectivity (FC) on cognition is currently not well understood. It is not clear whether cognition is mapped via a global connectome pattern or instead is underpinned by several sets of distributed connectivity patterns. Moreover, we also do not know whether the spatial distributions of SC and FC that underlie cognition are overlapping or distinct. Here, we study the relationship between SC and FC and an array of psychological tasks in 609 subjects (males, 269; females, 340) from the Human Connectome Project. We identified several sets of connections that each uniquely map onto cognitive function. We found a small number of distributed SCs and a larger set of corticocortical and corticosubcortical FCs that express this association. Importantly, the SC and FC each show unique and distinct patterns of variance across subjects as they relate to cognition. The results suggest that a complete understanding of connectome underpinnings of cognition calls for a combination of the two modalities.SIGNIFICANCE STATEMENT Structural connectivity (SC), the physical white-matter inter-regional pathways in the brain, and functional connectivity (FC), the temporal coactivations between the activity of the brain regions, have each been studied extensively. Little is known, however, about the distribution of variance in connections as they relate to cognition. Here, in a large sample of subjects (N = 609), we showed that two sets of brain-behavior patterns capture the correlations between SC and FC with a wide range of cognitive tasks, respectively. These brain-behavior patterns reveal distinct sets of connections within the SC and the FC network and provide new evidence that SC and FC each provide unique information for cognition.

Putting the "I" Back in Team

There is a common expression in sports that "there is no 'I' in team." However, collectively, there is actually a very important "I" in sport teams-the individual athlete/player. Each player has his or her own unique characteristics including physical, physiological, and psychological traits. Due to these unique characteristics, each player requires individual provision-whether it be an injury risk profile and targeted prevention strategy or treatment/rehabilitation for injury, dietary regimen, recovery, or psychological intervention. The aim of this commentary is to highlight how 4 high-performance teams from various professional football codes are analyzing individual player data.

Sleep problems in shift nurses: A brief review and recommendations at both individual and institutional levels

AIMS

The purposes of this article are (a) to review briefly the current literature on shift nurses' sleep patterns, sleep quality, and the existing interventions implemented in nursing settings; and (b) to propose solutions that target individual nurses, nurse managers, and health care organisations to improve sleep health in shift nurses.

BACKGROUND

Sleep problems among shift nurses have been recognized increasingly as a significant issue at both the individual and organisational levels. However, the solutions are not well known.

DESIGN

Narrative review.

METHODS

A literature search was conducted using the following databases: CINAHL, PubMed, Embase, and Google Scholar from 1986 to 2016, to include original papers that reported studies on shift nurses' sleep problems and interventions.

RESULTS

Thirteen papers were included in this review, which all indicated associations between shift nurses' sleep problems and current intervention practices. Despite the higher prevalence of sleep problems in shift nurses compared to the general population, current interventional practices only focus on bright-light exposure, nap breaks, shift schedule rearrangement, and behavioural interventions.

CONCLUSIONS

To address shift nurses' poor sleep quality, we proposed two levels of approach for consideration-the individual level and the management/institutional level. The recommendations include: improving sleep hygiene; providing a low-stimulation sleep environment; conducting rigorous intervention studies to evaluate the effectiveness of a variety of therapies to deal with shift nurses' sleep disturbances; increasing awareness of sleep health of shift nurses; establishing a flexible rotating work schedule; and putting in place policies such as a 15-30 min nap break, social support, and a suitable working environment.

IMPLICATIONS FOR NURSING MANAGEMENT

With better awareness and understanding of shift nurses' sleep behaviours, effective interventions can be employed to improve shift nurses' sleep patterns and sleep quality to promote better emotional and health outcomes.

Factors Influencing Individual Variation in Farm Animal Cognition and How to Account for These Statistically

For farmed species, good health and welfare is a win-win situation: both the animals and producers can benefit. In recent years, animal welfare scientists have embraced cognitive sciences to rise to the challenge of determining an animal's internal state in order to better understand its welfare needs and by extension, the needs of larger groups of animals. A wide range of cognitive tests have been developed that can be applied in farmed species to assess a range of cognitive traits. However, this has also presented challenges. Whilst it may be expected to see cognitive variation at the species level, differences in cognitive ability between and within individuals of the same species have frequently been noted but left largely unexplained. Not accounting for individual variation may result in misleading conclusions when the results are applied both at an individual level and at higher levels of scale. This has implications both for our fundamental understanding of an individual's welfare needs, but also more broadly for experimental design and the justification for sample sizes in studies using animals. We urgently need to address this issue. In this review, we will consider the latest developments on the causes of individual variation in cognitive outcomes, such as the choice of cognitive test, sex, breed, age, early life environment, rearing conditions, personality, diet, and the animal's microbiome. We discuss the impact of each of these factors specifically in relation to recent work in farmed species, and explore the future directions for cognitive research in this field, particularly in relation to experimental design and analytical techniques that allow individual variation to be accounted for appropriately.

The Chaotic Long-term X-ray Variability of 4U 1705-44

The low-mass X-ray binary 4U1705-44 exhibits dramatic long-term X-ray time variability with a timescale of several hundred days. The All-Sky Monitor (ASM) aboard the Rossi X-ray Timing Explorer (RXTE) and the Japanese Monitor of All-sky X-ray Image (MAXI) aboard the International Space Station together have continuously observed the source from December 1995 through May 2014. The combined ASM-MAXI data provide a continuous time series over fifty times the length of the timescale of interest. Topological analysis can help us identify fingerprints in the phase-space of a system unique to its equations of motion. The Birman-Williams theorem postulates that if such fingerprints are the same between two systems, then their equations of motion must be closely related. The phase-space embedding of the source light curve shows a strong resemblance to the double-welled nonlinear Duffing oscillator. We explore a range of parameters for which the Duffing oscillator closely mirrors the time evolution of 4U1705-44. We extract low period, unstable periodic orbits from the 4U1705-44 and Duffing time series and compare their topological information. The Duffing and 4U1705-44 topological properties are identical, providing strong evidence that they share the same underlying template. This suggests that we can look to the Duffing equation to help guide the development of a physical model to describe the long-term X-ray variability of this and other similarly behaved X-ray binary systems.

Neuroforecasting Aggregate Choice

Advances in brain-imaging design and analysis have allowed investigators to use neural activity to predict individual choice, while emerging Internet markets have opened up new opportunities for forecasting aggregate choice. Here, we review emerging research that bridges these levels of analysis by attempting to use group neural activity to forecast aggregate choice. A survey of initial findings suggests that components of group neural activity might forecast aggregate choice, in some cases even beyond traditional behavioral measures. In addition to demonstrating the plausibility of neuroforecasting, these findings raise the possibility that not all neural processes that predict individual choice forecast aggregate choice to the same degree. We propose that although integrative choice components may confer more consistency within individuals, affective choice components may generalize more broadly across individuals to forecast aggregate choice.

Self-responsibility, rationing and treatment decision making - managing moral narratives alongside fiscal reality in the obesity surgery clinic

Background

Addressing the prevalence of severe obesity and its concomitant morbidities is widely acknowledged as one of the most pressing global health priorities. Nevertheless, a paucity of effective interventions and universal pressure on health‐care budgets means that access to obesity treatments is often limited. Although health‐care rationing can be conceived as a socially constructed process, little is known about how decisions emerge within the context of face‐to‐face doctor–patient interactions.

Methods

In this study, we used in‐depth interviews and clinic observations to investigate clinicians’ (n = 11) and patients’ (n = 22) experiences of the rationing of obesity surgery and to examine how broader cultural assumptions around personal responsibility for health emerged in the context of clinical interactions.

Results

Patients and clinicians worked within similar frameworks when it came to self‐responsibility for health and the appropriateness of providing publicly‐funded weight loss surgery. Issues around personal accountability dominated consultations, and patients were expected to provide narratives of the development of their obesity and to account for the failure of previous interventions. Clinicians faced the added pressure of having to prioritise a limited number of patients for surgery, which was predominantly managed through mandating pre‐referral weight loss targets.

Discussion

Although clinicians sought to maintain an empathic attitude towards individual patients, in practice they were conflicted by their responsibility to ration health‐care resources and tended to rely on entrenched models of behaviour change to allocate treatment. As a result, the content of consultations was mostly focused on issues of personal responsibility, reflecting wider stigmatized attitudes towards extreme obesity.

Photochemistry on Pluto - I. Hydrocarbons and aerosols

In light of the recent New Horizons flyby measurements, we present a coupled ion-neutral-photochemistry model developed for simulating the atmosphere of Pluto. Our model results closely match the observed density profiles of CH4, N2 and the C2 hydrocarbons in the altitude range where available New Horizons measurements are most accurate (above ~ 100-200 km). We found a high eddy coefficient of 106 cm2 s-1 from the surface to an altitude of 150 km, and 3 × 106 cm2 s-1 above 150 km for Pluto's atmosphere. Our results demonstrate that C2 hydrocarbons must stick to and be removed by aerosol particles in order to reproduce the C2 profiles observed by New Horizons. Incorporation into aerosols in Pluto's atmosphere is a significantly more effective process than condensation, and we found that condensation alone cannot account for the observed shape of the vertical profiles. We empirically determined the sticking efficiency of C2 hydrocarbons to aerosol particles as a function of altitude, and found that the sticking efficiency of C2 hydrocarbons is inversely related to the aerosol surface area. Aerosols must harden and become less sticky as they age in Pluto's atmosphere. Such hardening with ageing is both necessary and sufficient to explain the vertical profiles of C2 hydrocarbons in Pluto's atmosphere. This result is in agreement with the fundamental idea of aerosols hardening as they age, as proposed for Titan's aerosols.

Photochemistry on Pluto: part II HCN and nitrogen isotope fractionation

We have converted our Titan one-dimensional photochemical model to simulate the photo- chemistry of Pluto's atmosphere and include condensation and aerosol trapping in the model. We find that condensation and aerosol trapping are important processes in producing the HCN altitude profile observed by the Atacama Large Millimeter Array (ALMA). The nitrogen iso- tope chemistry in Pluto's atmosphere does not appear to significantly fractionate the isotope ratio between N2 and HCN as occurs at Titan. However, our simulations only cover a brief period of time in a Pluto year, and thus only a brief portion of the solar forcing conditions that Pluto's atmosphere experiences. More work is needed to evaluate photochemical fractionation over a Pluto year. Condensation and aerosol trapping appear to have a major impact on the altitude profile of the isotope ratio in HCN. Since ALMA did not detect HC15N in Pluto's atmosphere, we conclude that condensation and aerosol trapping must be much more efficient for HC15N compared to HC14N. The large uncertainty in photochemical fractionation makes it difficult to use any potential current measurement of 14N/15N in N2 to determine the origin of Pluto's nitrogen. More work is needed to understand photochemical fractionation and to evaluate how condensation, sublimation and aerosol trapping will fractionate N2 and HCN.

The interpretation of single individuals' measurements

This article concerns the interpretation and construction of measurements for single observational units, including the creation of scales or indexes to improve the quality of the measurements. The focus is on the individual as the observational unit in psychology, but to present a broader perspective related measurement issues in official statistics are also discussed. It is concluded that when individual measurements are to be interpreted, measurement precision must be given priority and taken into account in the research design. Unfortunately, most measures in psychology are not highly reliable, and examples are given demonstrating that such measures do not normally allow the researcher to make inferences about single individuals. Methods for testing questionnaires in a cognitive laboratory that have been developed within survey research can provide useful tools to increase both reliability and validity of single questions/items.