A dual function for Pex3p in peroxisome formation and inheritance

Saccharomyces cerevisiae Pex3p has been shown to act at the ER during de novo peroxisome formation. However, its steady state is at the peroxisomal membrane, where its role is debated. Here we show that Pex3p has a dual function: one in peroxisome formation and one in peroxisome segregation. We show that the peroxisome retention factor Inp1p interacts physically with Pex3p in vitro and in vivo, and split-GFP analysis shows that the site of interaction is the peroxisomal membrane. Furthermore, we have generated PEX3 alleles that support peroxisome formation but fail to support recruitment of Inp1p to peroxisomes, and as a consequence are affected in peroxisome segregation. We conclude that Pex3p functions as an anchor for Inp1p at the peroxisomal membrane, and that this function is independent of its role at the ER in peroxisome biogenesis

Soy consumption and risk of COPD and respiratory symptoms: a case-control study in Japan

<p>Abstract</p> <p>Background</p> <p>To investigate the relationship between soy consumption, COPD risk and the prevalence of respiratory symptoms, a case-control study was conducted in Japan.</p> <p>Methods</p> <p>A total of 278 eligible patients (244 men and 34 women), aged 50–75 years with COPD diagnosed within the past four years, were referred by respiratory physicians, while 340 controls (272 men and 68 women) were recruited from the community. All participants underwent spirometric measurements of respiratory function. Information on demographics, lifestyle characteristics and habitual food consumption was obtained using a structured questionnaire.</p> <p>Results</p> <p>Total soy consumption was positively correlated with observed lung function measures. The mean soy intake was significantly higher among controls (59.98, SD 50.23 g/day) than cases (44.84, SD 28.5 g/day). A significant reduction in COPD risk was evident for highest versus lowest quartile of daily intake of total soybean products, with adjusted odds ratio (OR) 0.392, 95% CI 0.194–0.793, <it>p </it>for trend 0.001. Similar decreases in COPD risk were associated with frequent and higher intake of soy foods such as tofu and bean sprouts, whereas respiratory symptoms were inversely associated with high consumption of soy foods, especially for breathlessness (OR 0.989, 95% CI 0.982–0.996).</p> <p>Conclusion</p> <p>Increasing soy consumption was associated with a decreased risk of COPD and breathlessness.</p

An evaluation of platforms for processing camera-trap data using artificial intelligence

Camera traps have quickly transformed the way in which many ecologists study the distribution of wildlife species, their activity patterns and interactions among members of the same ecological community. Although they provide a cost-effective method for monitoring multiple species over large spatial and temporal scales, the time required to process the data can limit the efficiency of camera-trap surveys. Thus, there has been considerable attention given to the use of artificial intelligence (AI), specifically deep learning, to help process camera-trap data. Using deep learning for these applications involves training algorithms, such as convolutional neural networks (CNNs), to use particular features in the camera-trap images to automatically detect objects (e.g. animals, humans, vehicles) and to classify species. To help overcome the technical challenges associated with training CNNs, several research communities have recently developed platforms that incorporate deep learning in easy-to-use interfaces. We review key characteristics of four AI platforms—Conservation AI, MegaDetector, MLWIC2: Machine Learning for Wildlife Image Classification and Wildlife Insights—and two auxiliary platforms—Camelot and Timelapse—that incorporate AI output for processing camera-trap data. We compare their software and programming requirements, AI features, data management tools and output format. We also provide R code and data from our own work to demonstrate how users can evaluate model performance. We found that species classifications from Conservation AI, MLWIC2 and Wildlife Insights generally had low to moderate recall. Yet, the precision for some species and higher taxonomic groups was high, and MegaDetector and MLWIC2 had high precision and recall when classifying images as either ‘blank’ or ‘animal’. These results suggest that most users will need to review AI predictions, but that AI platforms can improve efficiency of camera-trap-data processing by allowing users to filter their dataset into subsets (e.g. of certain taxonomic groups or blanks) that can be verified using bulk actions. By reviewing features of popular AI-powered platforms and sharing an open-source GitBook that illustrates how to manage AI output to evaluate model performance, we hope to facilitate ecologists' use of AI to process camera-trap data

Progressive Preference Articulation for Decision Making in Multi-Objective Optimisation Problems

This paper proposes a novel algorithm for addressing multi-objective optimisation problems, by employing a progressive preference articu- lation approach to decision making. This enables the interactive incorporation of problem knowledge and decision maker preferences during the optimisation process. A novel progressive preference articulation mechanism, derived from a statistical technique, is herein proposed and implemented within a multi-objective framework based on evolution strategy search and hypervolume indicator selection. The proposed algo- rithm is named the Weighted Z-score Covariance Matrix Adaptation Pareto Archived Evolution Strategy with Hypervolume-sorted Adaptive Grid Algorithm (WZ-HAGA). WZ-HAGA is based on a framework that makes use of evolution strategy logic with covariance matrix adaptation to perturb the solutions, and a hypervolume indicator driven algorithm to select successful solutions for the subsequent generation. In order to guide the search towards interesting regions, a preference articulation procedure composed of four phases and based on the weighted z-score approach is employed. The latter procedure cascades into the hypervolume driven algorithm to perform the selection of the solutions at each generation. Numerical results against five modern algorithms representing the state-of-the-art in multi-objective optimisation demonstrate that the pro- posed WZ-HAGA outperforms its competitors in terms of both the hypervolume indicator and pertinence to the regions of interest

Cross-sectional survey of a sample of UK primary care dental professionals' experiences of sharps injuries and perception of access to occupational health support

Background: The 2013 Sharps Regulations were introduced to minimise the risk of sharps injuries and blood borne virus transmission throughout healthcare. Occupational health (OH) services are pivotal for helping employers implement these regulations. Despite this, no research has been conducted on the prevalence of sharps injuries, underreporting of injuries or access to OH among primary care dental professionals in the UK since 2013. Aim: To estimate the prevalence of sharps injuries, the level of underreporting and of self-reported access to an OH service both for the care of sharps injuries and for general health and wellbeing. Method: A cross-sectional survey was administered at the 2017 British Dental Association (BDA) Conference and Exhibition in Manchester, and at the 2017 BDA Scottish Conference and Exhibition in Glasgow. The survey covered questions relating to sharps injuries and OH support. Statistical analyses were conducted using SPSS Version 22 (IBM Corp., 2013). Results: A total of 796 delegates participated, of whom 166 (20.8%) had experienced a sharps injury in the past year and 58 (35%) did not report the incident. Of the participants, 190 (23.9%) reported no, or uncertain, access to OH support. Most respondents' practices had a sharps safety policy (771; 96.9%), but fewer (611; 76.8%) had received training on the prevention of sharps injuries and neither policy nor training were associated with incident reporting. Conclusion: Despite the introduction of the sharps regulations, sharps injuries and underreporting of injuries remain prevalent among those practising in primary dental care. Our results also suggest that there are significant shortfalls in OH support, at a time when changes to guidance on health clearance and management of BBV infected healthcare workers, in addition to sharps injury management, increase the need for such services

Limitation on Prepulse Level for Cone-Guided Fast-Ignition Inertial Confinement Fusion

The viability of fast-ignition (FI) inertial confinement fusion hinges on the efficient transfer of laser energy to the compressed fuel via multi-MeV electrons. Preformed plasma due to the laser prepulse strongly influences ultraintense laser plasma interactions and hot electron generation in the hollow cone of an FI target. We induced a prepulse and consequent preplasma in copper cone targets and measured the energy deposition zone of the main pulse by imaging the emitted K_α radiation. Simulation of the radiation hydrodynamics of the preplasma and particle in cell modeling of the main pulse interaction agree well with the measured deposition zones and provide an insight into the energy deposition mechanism and electron distribution. It was demonstrated that a under these conditions a 100 mJ prepulse eliminates the forward going component of ∼2–4 MeV electrons

Parent–child relationships and adolescents’ life satisfaction across the first decade of the new millennium

This is the peer reviewed version of the following article: Antonia Jiménez-Iglesias, Irene GarcÍa-Moya, and Carmen Moreno, ‘Parent–Child Relationships and Adolescents' Life Satisfaction Across the First Decade of the New Millennium’, Family Relations, Vol. 66 (3): 512-526, July 2017, which has been published in final form at: https://doi.org/10.1111/fare.12249. Under embargo until 31 July 2018. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Objective: To examine whether changes occurred in parent–child relationships (maternal and paternal affection, ease of communication with the mother and father, maternal and paternal knowledge, and family activities) between 2002 and 2010 in boys and girls and to examine the contributions of these family dimensions to life satisfaction. Background: Although parent–child relationships may be affected by social change, there are few investigations of change in parent–child relationships over time. Method: The sample consisted of 46,593 adolescents between 11 to 18 years of age who participated in the 2002, 2006, or 2010 editions of the Health Behaviour in School-aged Children (HBSC) study in Spain. Trend analysis including univariate analyses of variance (ANOVAs) and factorial ANOVAs were conducted separately for boys and girls, and effect size tests were calculated. Results: Communication with fathers and family activities statistically increased across HBSC editions and parent–child relationships were positively associated with life satisfaction across the examined period. Conclusion: There were small positive changes in some family dimensions, and some of them were increasingly important for adolescent life satisfaction over time. Implications: Interventions for strengthening parent-child relationships and promoting adolescent well-being should include mothers and fathers and emphasize affection, communication, and family activities.Peer reviewedFinal Accepted Versio