Pelagic distribution of Gould’s Petrel (Pterodroma leucoptera): linking shipboard and onshore observations with remote-tracking data

This study describes and compares the pelagic distribution and migratory patterns of the two subspecies of Gould’s Petrel (Pterodroma leucoptera), and contrasts data obtained from tracking birds at sea using geolocators with observational data (shipboard sightings, by-catch records and beachcast specimens). While breeding, tracked individuals of both subspecies (P. l. leucoptera and P. l. caledonica) foraged within the Tasman Sea and south of the Australian continent, with forays west into the Indian Ocean before laying. After breeding, both subspecies migrated to distinct non-breeding ranges within the eastern tropical Pacific Ocean. Observational data identified the general pattern of migration and foraging areas of the species, whereas data from geolocators provided details of routes and timing of migration, core foraging ranges, and marked spatial and temporal segregation between the two subspecies. However, by attaching geolocators only to established breeders, as is typical of studies of small and medium-sized seabirds, these devices failed to identify that non-breeding birds (pre-breeders and adults that are deferring breeding) may not follow the same migratory schedules or have the same at-sea distribution. We conclude that integrating data from electronic tracking with observational data substantially improves our understanding of the pelagic distribution of seabird populations

Effects of two different paradigms of electrical stimulation exercise on cardio-metabolic risk factors after spinal cord injury. A randomized clinical trial

ObjectiveTo examine the combined effects of neuromuscular electrical stimulation-resistance training (NMES-RT) and functional electrical stimulation-lower extremity cycling (FES-LEC) compared to passive movement training (PMT) and FES-LEC in adults with SCI on (1) oxygen uptake (VO2), insulin sensitivity and glucose disposal in adults with SCI; (2) Metabolic and inflammatory biomarkers; (3) skeletal muscle, intramuscular fat (IMF) and visceral adipose tissue (VAT) cross-sectional areas (CSAs).Materials and methodsThirty-three participants with chronic SCI (AIS A-C) were randomized to 24 weeks of NMES-RT + FES or PMT + FES. The NMES-RT + FES group underwent 12 weeks of evoked surface NMES-RT using ankle weights followed by an additional 12 weeks of progressive FES-LEC. The control group, PMT + FES performed 12 weeks of passive leg extension movements followed by an additional 12 weeks of FES-LEC. Measurements were performed at baseline (BL; week 0), post-intervention 1 (P1; week 13) and post-intervention 2 (P2; week 25) and included FES-VO2 measurements, insulin sensitivity and glucose effectiveness using the intravenous glucose tolerance test; anthropometrics and whole and regional body composition assessment using dual energy x-ray absorptiometry (DXA) and magnetic resonance imaging to measure muscle, IMF and VAT CSAs.ResultsTwenty-seven participants completed both phases of the study. NMES-RT + FES group showed a trend of a greater VO2 peak in P1 [p = 0.08; but not in P2 (p = 0.25)] compared to PMT + FES. There was a time effect of both groups in leg VO2 peak. Neither intervention elicited significant changes in insulin, glucose, or inflammatory biomarkers. There were modest changes in leg lean mass following PMT + FES group. Robust hypertrophy of whole thigh muscle CSA, absolute thigh muscle CSA and knee extensor CSA were noted in the NMES-RT + FES group compared to PMT + FES at P1. PMT + FES resulted in muscle hypertrophy at P2. NMES-RT + FES resulted in a decrease in total VAT CSA at P1.ConclusionNMES-RT yielded a greater peak leg VO2 and decrease in total VAT compared to PMT. The addition of 12 weeks of FES-LEC in both groups modestly impacted leg VO2 peak. The addition of FES-LEC to NMES-RT did not yield additional increases in muscle CSA, suggesting a ceiling effect on signaling pathways following NMES-RT.Clinical trial registrationidentifier NCT02660073

The impact of oat structure and β-glucan on in vitro lipid digestion

Oat β-glucan has been shown to play a positive role in influencing lipid and cholesterol metabolism. However, the mechanisms behind these beneficial effects are not fully understood. The purpose of the current work was to investigate some of the possible mechanisms behind the cholesterol lowering effect of oat β-glucan, and how processing of oat modulates lipolysis. β-Glucan release, and the rate and extent of lipolysis measured in the presence of different sources of oat β-glucan, were investigated during gastrointestinal digestion. Only a fraction of the original β-glucan content was released during digestion. Oat flakes and flour appeared to have a more significant effect on lipolysis than purified β-glucan. These findings show that the positive action of β-glucan is likely to involve complex processes and interactions with the food matrix. This work also highlights the importance of considering the structure and physicochemical properties of foods, and not just the nutrient content

Downskilling: Changes in Employer Skill Requirements Over the Business Cycle

Using a novel database of 82.5 million online job postings, we show that employer skill requirements fell as the labor market improved from 2010 to 2014. We find that a 1 percentage point reduction in the local unemployment rate is associated with a roughly 0.27 percentage point reduction in the fraction of jobs requiring at least a bachelor's degree and a roughly 0.23 percentage point reduction in the fraction requiring five or more years of experience. This pattern is established using multiple measures of labor availability, is bolstered by similar trends along heretofore unmeasured dimensions of skill, and even occurs within firm-job title pairs. We further confirm the causal effect of labor market tightening on skill requirements using a natural experiment based on the fracking boom in the United States as an exogenous shock to the local labor supply in tradable, non-fracking industries. These industries are not plausibly affected by local demand shocks or natural gas extraction technology, but still show fewer skill requirements in response to tighter labor markets. Our results imply this labor market-induced downskilling reversed much of the cyclical increase in education and experience requirements that occurred during the Great Recession

The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

Program Dependence Graphs for the Rest of Us

This report presents new control dependence analysis techniques that succeed in constructing a control dependence graph (CDG) in all of the common cases without requiring either the control flow graph or the auxiliary structures needed by the fully general algorithm. In the worst case, the intermediate structures built by our algorithms are used to derive a simplified form of the control flow graph that is then used by the general algorithm. In this eventuality, the general algorithm may run more quickly, since a portion of its analysis has already been performed. The report also presents an adaptation of Tarjan's interval analysis algorithm for data flow analysis that uses the control dependence graph instead of the control flow graph. Using the CDG-based analysis algorithm allows us to construct a program dependence graph (PDG) without first constructing a control flow graph. This approach offers several advantages over the conventional models. It eliminates a complete program repres..

Refining and Defining the Program Dependence Web

The Program Dependence Web is a program intermediate representation which can be interpreted under control-driven, data-driven or demand-driven disciplines. An operational definition is given for the Program Dependence Web. This includes definitions for the nodes and arcs and a description of how webs are interpreted. The general structure for conditionals and loops is shown, accompanied by examples. The definition is a refinement of the original one in that a new node, the "b node," is introduced and two nodes, the µ node and the h T node, are eliminated. 1.0 Introduction To obtain peak performance it must be easy to match computations with machines. Today's world of MIMD supercomputing makes this difficult because it is divided into separate camps. There is the control-driven von Neumann massively parallel camp. There is the data-driven dataflow machine camp. And there is the demand-driven graph reduction machine camp. Each camp confines users to one language style: imperative, da..

Program Dependence Graphs for the Rest of Us

This report presents new control dependence analysis techniques that succeed in constructing a control dependence graph (CDG) in all of the common cases without requiring either the control flow graph or the auxiliary structures needed by the fully general algorithm. In the worst case, the intermediate structures built by our algorithms are used to derive a simplified form of the control flow graph that is then used by the general algorithm. In this eventuality, the general algorithm may run more quickly, since a portion of its analysis has already been performed. The report also presents an adaptation of Tarjan's interval analysis algorithm for data flow analysis that uses the control dependence graph instead of the control flow graph. Using the CDG-based analysis algorithm allows us to construct a program dependence graph (PDG) without first constructing a control flow graph. This approach offers several advantages over the conventional models. It eliminates a complete program repres..