In epidemiological investigations, pathogen genomics can provide insights and test epidemiological hypotheses that would not have been possible through traditional epidemiology. Tools to synthesize genomic analysis with other types of data are a key requirement of genomic epidemiology. We propose a new ‘phylepic’ visualization that combines a phylogenomic tree with an epidemic curve. The combination visually links the molecular time represented in the tree to the calendar time in the epidemic curve, a correspondence that is not easily represented by existing tools. Using an example derived from a foodborne bacterial outbreak, we demonstrated that the phylepic chart communicates that what appeared to be a point-source outbreak was in fact composed of cases associated with two genetically distinct clades of bacteria. We provide an R package implementing the chart. We expect that visualizations that place genomic analyses within the epidemiological context will become increasingly important for outbreak investigations and public health surveillance of infectious diseases.

Adequate energy intake (EI) is essential for adolescent athletes to support health, performance, and growth(1). Rowing is a physically demanding sport where intense training begins in adolescence. Research is needed to assess whether current EI is sufficient to support healthy physiological functions and training in adolescent rowers. The aim of this study was to evaluate the energy status (energy availability (EA) or energy balance (EB)) including EI and exercise energy expenditure (EEE) of adolescent rowers in New Zealand. A total of 35 rowers (23 females, 16.8yrs ± 1.9yrs; 12 males, 17.3yrs ± 1.6yrs) who had been rowing for at least one season participated. A bioimpedance analyser measured body composition in 11 participants (8 females, weight 63.0±7.0kg, fat free mass (FFM) 50.8 ± 6.5kg; 3 males, weight 78.5 ± 15.9kg, FFM 70.7 ± 12.2kg) enabling calculation of EA. Due to COVID-19 restrictions, the remaining 24 participants (15 females, 9 males) provided estimated body weight (74.7 ± 9.2kg) and EB was then used to evaluate energy status. All participants completed four days of food and training diaries, two ‘recovery’ and two ‘hard’ training days. EI was determined in FoodWorks10 software using the New Zealand Food Composition Database. For training, metabolic equivalent of tasks (MET)(2) were assigned using bodyweight, heart rate, and rating of perceived effort to estimate EEE. Paired sample t-tests or Wilcoxon Signed Rank test (non-parametric data) was used to determine differences between EI, EEE, EA, and EB on the high and low training days for each gender. Significance was set at p< 0.05. The average EI for females on hard and recovery days was 10837 ± 3304kJ and 10461 ± 2882kJ respectively, and for males was 15293 ± 3971kJ and 13319 ± 4943kJ, respectively. No significant differences were found between EI on hard vs. recovery days in both genders. Significant differences between average EEE on hard vs. recovery days were found in both genders (females, hard day 4609 ± 2446kJ, recovery day 3146 ± 1905kJ, p<0.001; males, hard day 6589 ± 1575kJ, recovery day 3326 ± 2890kJ, p = 0.001). EA on hard and recovery training days was classified as suboptimal at 142 ± 80kJ/FFMkg/day and 167 ± 79kJ/FFMkg/day respectively with no significant difference in EA between hard and recovery days (p = 0.092). Average EB on hard training days was −484 ± 4267kJ and on recovery training days was 572 ± 3265kJ, with no significant difference between training days (p = 0.177). Both genders showed no significant difference in EB between hard and recovery training days (females p = 0.221, males p = 0.978). The results suggest that adolescent rowers do not adjust their nutritional intake to match EEE. This may increase the risk of adolescent rowers presenting with suboptimal EB or EA, with females being at a greater risk than males.

Dietary intake plays a key role in athletic performance in rowing(1). Suboptimal nutrition within the adolescent rowing population may negatively affect performance, normal growth and development, professional athlete development, and career longevity. Previous research has indicated that suboptimal carbohydrate intakes are a common issue in rowing(2). The quality of nutritional intake in adolescent rowers has seldom been explored. During moderate training, adolescent athletes should aim for 5-7g.kg-1 of carbohydrates, 1.3-1.8g.kg-1 of protein, and 20-35% energy from fat(3). This study aimed to examine the dietary intake of adolescent rowers in New Zealand and compare it with nutritional guidelines for normal growth, development, and sports performance. A cross-sectional study design involved data collection on two ‘hard’ training days, and two ‘recovery’ days from rowers (14-21 years) recruited from clubs and secondary schools around New Zealand. Participants completed four 24-hour collection periods, recording food intake, training duration and intensity. The food records were verified for accuracy, and dietary data was entered into Foodworks software for nutritional analysis. IBM SPSS software was used to calculate mean intakes for carbohydrate, protein, fat, and standard deviations. Independent t-tests were used to compare carbohydrate and protein intakes between males and females. Of the initial 40 participants, 35 fully (n = 23 females, 16.8 ± 1.9 years and n = 12 males, 17.3 ± 1.6 years) completed the study. Participants consumed 319 ± 116g (4.5 ± 1.7g.kg-1/day) of carbohydrates, 121 ± 56 g (1.7 ± 0.7 g.kg-1/day) of protein and 113 ± 46 g (1.6 ± 0.6g.kg-1/day) of fat per day. Females consumed 290 ± 80g (4.4 ± 1.3g.kg-1/day) of carbohydrates and males consumed 400 ± 78 g (5.0 ± 1.4g.kg-1/day) per day, with no significant difference between males and females intake per kilogram of bodyweight per day (p = 0.165). Minimum carbohydrate levels of 5g.kg-1 per day were only achieved by 7 females (30.4%) and 4 (33.3%) males. Females consumed significantly less protein per day, 106 ± 38g (1.6 ± 0.6 g.kg-1/day), in comparison to males who consumed 164 ± 46 grams (2.0 ± 0.5 g.kg-1/day) per day (p = 0.04). Fourteen females (60.9%) and 10 males (83.3%) consumed more than the minimum requirement of 1.3g.kg-1 of protein per day. The findings suggest that 2 out of 3 adolescent rowers in New Zealand fail to reach the minimum recommendations for carbohydrate intake(3), and males more readily meet the recommended intakes of protein when compared to females. Nutrition education for adolescent rowers in New Zealand should emphasise adequate carbohydrate and protein intakes that meet sports nutrition guidelines in order to support normal growth, development and optimised performance for these athletes.

Background: Although palliative care (PC) is recommended for patients with amyotrophic lateral sclerosis (ALS), many patients receive PC very late or not at all. Our study goals included 1) determing the feasibility of early PC 2) describing patient/caregiver satisfaction with early PC and 3) measuring the impact of early PC on quality of life (QOL) and mood. Methods: Patients followed at the multidisciplinary ALS clinic in Ottawa, Canada and their caregivers were eligible for the study irrespective of duration or severity of disease. All participants completed questionnaires tracking QOL and mood and all were offered a palliative care consultation. Participants completed a satisfaction survey post-PC consultation. Results: 32 patients and 20 caregivers received a PC consultation, conducted virtually. All of them found the consult beneficial and none of the patients reported preferring the consultation later in their illness. The PC consultations were most highly rated by patients with high levels of anxiety and worse bulbar function, and by caregivers of patients with low function. There was no statistically significant change in mood or QOL compared to the 7 participants who declined PC consultation. Conclusions: PC consultations are feasible and beneficial at all stages of illness. Patients with anxiety and bulbar dysfunction may benefit most.

The quenching of cluster satellite galaxies is inextricably linked to the suppression of their cold interstellar medium (ISM) by environmental mechanisms. While the removal of neutral atomic hydrogen (H i) at large radii is well studied, how the environment impacts the remaining gas in the centres of galaxies, which are dominated by molecular gas, is less clear. Using new observations from the Virgo Environment traced in CO survey (VERTICO) and archival H i data, we study the H i and molecular gas within the optical discs of Virgo cluster galaxies on 1.2-kpc scales with spatially resolved scaling relations between stellar ($\Sigma_{\star}$), H i ($\Sigma_{\text{H}\,{\small\text{I}}}$), and molecular gas ($\Sigma_{\text{mol}}$) surface densities. Adopting H i deficiency as a measure of environmental impact, we find evidence that, in addition to removing the H i at large radii, the cluster processes also lower the average $\Sigma_{\text{H}\,{\small\text{I}}}$ of the remaining gas even in the central $1.2\,$kpc. The impact on molecular gas is comparatively weaker than on the H i, and we show that the lower $\Sigma_{\text{mol}}$ gas is removed first. In the most H i-deficient galaxies, however, we find evidence that environmental processes reduce the typical $\Sigma_{\text{mol}}$ of the remaining gas by nearly a factor of 3. We find no evidence for environment-driven elevation of $\Sigma_{\text{H}\,{\small\text{I}}}$ or $\Sigma_{\text{mol}}$ in H i-deficient galaxies. Using the ratio of $\Sigma_{\text{mol}}$-to-$\Sigma_{\text{H}\,{\small\text{I}}}$ in individual regions, we show that changes in the ISM physical conditions, estimated using the total gas surface density and midplane hydrostatic pressure, cannot explain the observed reduction in molecular gas content. Instead, we suggest that direct stripping of the molecular gas is required to explain our results.

A machine learning model was created to predict the electron spectrum generated by a GeV-class laser wakefield accelerator. The model was constructed from variational convolutional neural networks, which mapped the results of secondary laser and plasma diagnostics to the generated electron spectrum. An ensemble of trained networks was used to predict the electron spectrum and to provide an estimation of the uncertainty of that prediction. It is anticipated that this approach will be useful for inferring the electron spectrum prior to undergoing any process that can alter or destroy the beam. In addition, the model provides insight into the scaling of electron beam properties due to stochastic fluctuations in the laser energy and plasma electron density.

Outpatient antibiotic use increases during winter months, but information on temporal changes in inpatient antibiotic use in US hospitals is limited. The use of certain inpatient antibiotics, including extended-spectrum cephalosporins, macrolides, and tetracyclines, was strongly associated with influenza activity during the 2015–2019 viral respiratory seasons.

We consider the numerical solution of competitive exothermic and endothermic reactions in the presence of a chaotic advection flow. The resulting behaviour is characterized by a strong dependence on the competitive reaction history. The burnt temperature is not immediately connected to simple enthalpy calculations, so there is a subtlety in the interplay between the major parameters, notably the Damköhler number, the ratio of the heats of exothermic and endothermic reactions, as well as the ratio of their respective activation energies. This paper seeks to explore the way these parameters affect the steady states of these reaction fronts and their stability.

California has a large population of people experiencing homelessness (PEH) that is characterised by a high proportion of people who are unsheltered and chronically homeless. PEH are at increased risk of communicable diseases due to multiple, intersecting factors, including increased exposures, comorbid conditions including substance use disorder and mental illness and lack of access to hygiene and healthcare facilities. Data available for several communicable diseases show that PEH in California experiences an increased burden of communicable diseases compared to people not experiencing homelessness. Public health agencies face unique challenges in serving this population. Efforts to reduce homelessness, increase access to health care for PEH, enhance data availability and strengthen partnerships among agencies serving PEH can help reduce the disparity in communicable disease burden faced by PEH.

This article focuses on the finite element modeling of toroidal microinductors, employing first-of-its-kind nanocomposite magnetic core material and superparamagnetic iron nanoparticles covalently cross-linked in an epoxy network. Energy loss mechanisms in existing inductor core materials are covered as well as discussions on how this novel core material eliminates them providing a path toward realizing these low form factor devices. Designs for both a 2 μH output and a 500 nH input microinductor are created via the model for a high-performance buck converter. Both modeled inductors have 50 wire turns, less than 1 cm3 form factors, less than 1 Ω AC resistance, and quality factors, Q’s, of 27 at 1 MHz. In addition, the output microinductor is calculated to have an average output power of 7 W and a power density of 3.9 kW/in3 by modeling with the 1st generation iron nanocomposite core material.