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The role of patient educational materials for paediatric patients is increasing. A reading grade level of eighth-grade (USA) or year nine (Australia and New Zealand) is recommended as acceptable. The aim of this paper was to assess the reading grade levels of paediatric online patient educational materials, within Australasia.The online Google® search engine was used with a variety of keyword combinations, filtered to the location of Australia and New Zealand. Suitable websites were explored for webpages related to slipped upper femoral epiphysis, septic arthritis, osteomyelitis, talipes equinovarus and developmental dysplasia of the hip. Readability was assessed using the online readability software WEB FX®.Seventy-six patient educational webpages were analysed: 66 from Australia and 10 from New Zealand. Only eight of the 76 webpages (10.5%) had reading grade levels below the recommended eighth-grade (US)/year nine (AUS/NZ) level. Webpages from private healthcare providers and pages related to septic arthritis had the significantly highest reading grades.Australasian families have limited online patient educational materials available to them, which are mostly set at reading grade levels above recommended standards. Healthcare providers should be incentivized to improve the readability of their patient educational materials to reduce health disparities and improve health literacy moving forward.

YouTube is an increasingly accessible platform for families to obtain health information from; however, it is unregulated. The aim of this article was to assess the quality, reliability and accuracy of YouTube videos related to three common pediatric hip conditions: development dysplasia of the hip (DDH), slipped capital femoral epiphysis (SCFE) and Legg-Calve-Perthes disease. YouTube was searched using a variety of keyword combinations. Videos were analysed using Journal of the American Medical Association, Global Quality Score and condition-specific scores created specifically for this study. Video duration and the number of views were also recorded. In total 120 videos were analysed, 40 for each of DDH, SCFE and Perthes disease. YouTube videos from physicians and academic institutions/hospitals are of significantly higher quality, reliability and accuracy than videos from patients, nonphysicians and commercial outlets. The higher quality for physician videos is associated with significantly longer video. Differences between the three pediatric orthopaedic conditions were not statistically significant. Videos of higher quality may be used as an adjunctive tool to strengthen clinical consultation. Parents and caregivers should be guided to videos from academic institutions or hospitals as a way of improving health literacy.

Due to the inexpensive cost of amine solvent, more than 95 % of natural gas (NG) processing plants use an acid gas removal unit that utilizes an aqueous amine solvent to remove sour gas components such as carbon dioxide (CO2) and hydrogen sulfide (H2S). Different technologies are available to capture CO2 from NG. However, chemical absorption is the most reliable and used technology all over the world. However, it is challenging to determine the amine blend’s optimal composition for the effective removal of CO2 and H2S and solvent regeneration. This is mainly due to the difference in reservoir gas compositions, affecting gas removal efficiency and solvent regeneration energies. The present investigation addresses the performance of using a novel solvent blend of diisopropanolamine (DIPA) and Triethanolamine (TEA) to determine the absorption capacity of CO2 & H2S using Aspen HYSYS software. A study on the effects of solubility on CO2 absorption was performed at varying pressure (10-80 bar) and temperature (25°C to 50°C). The percentage of CO2 removal increased from 80% to 98% as the temperature increased from 25°C to 50°C. The results revealed that the concentration of CO2 and H2S in sweet gas decrease with the increase in pressure while the concentration of CO2 and H2S increases with the increase in temperature.

The sequencing, assembly, and analysis of bacterial genomes is central to tracking and characterizing foodborne pathogens. The bulk of bacterial genome sequencing at the US Food and Drug Administration is performed using short-read Illumina MiSeq technology, resulting in highly accurate but fragmented genomic sequences. The MinION sequencer from Oxford Nanopore is an evolving technology that produces long-read sequencing data with low equipment cost. The goal of this study was to compare Campylobacter genome assemblies generated from MiSeq and MinION data independently, as well as hybrid genome assemblies combining both data types. Two reference strains and two field isolates of C. jejuni were sequenced using MiSeq and MinION, and the sequence data were assembled using the software programs SPAdes and Canu, respectively. Hybrid genome assembly was performed using the program Unicycler. Comparison of the C. jejuni 81-176 and RM1221 genome assemblies to the PacBio reference genomes revealed that the SPAdes assemblies had the most accurate nucleotide identity, while the hybrid assemblies were the most contiguous. Assemblies generated only from MinION data using Canu were the least accurate, containing many indels and substitutions that affected downstream analyses. The hybrid sequencing approach was the most useful for detecting plasmids, large genome rearrangements, and repetitive elements such as rRNA and tRNA genes. The full genomes of both C. jejuni field isolates were completed and circularized using hybrid sequencing, and a plasmid was detected in one isolate. Continued development of nanopore sequencing technologies will likely enhance the accuracy of hybrid genome assemblies and enable public health laboratories to routinely generate complete circularized bacterial genome sequences.

Nontarget data acquisition for target analysis (nDATA) workflows using liquid chromatography-high-resolution accurate mass (LC-HRAM) spectrometry, spectral screening software, and a compound database have generated interest because of their potential for screening of pesticides in foods. However, these procedures and particularly the instrument processing software need to be thoroughly evaluated before implementation in routine analysis. In this work, 25 laboratories participated in a collaborative study to evaluate an nDATA workflow on high moisture produce (apple, banana, broccoli, carrot, grape, lettuce, orange, potato, strawberry, and tomato). Samples were extracted in each laboratory by quick, easy, cheap, effective, rugged, and safe (QuEChERS), and data were acquired by ultrahigh-performance liquid chromatography (UHPLC) coupled to a high-resolution quadrupole Orbitrap (QOrbitrap) or quadrupole time-of-flight (QTOF) mass spectrometer operating in full-scan mass spectrometry (MS) data-independent tandem mass spectrometry (LC-FS MS/DIA MS/MS) acquisition mode. The nDATA workflow was evaluated using a restricted compound database with 51 pesticides and vendor processing software. Pesticide identifications were determined by retention time (tR, ±0.5 min relative to the reference retention times used in the compound database) and mass errors (δM) of the precursor (RTP, δM ≤ ±5 ppm) and product ions (RTPI, δM ≤ ±10 ppm). The elution profiles of all 51 pesticides were within ±0.5 min among 24 of the participating laboratories. Successful screening was determined by false positive and false negative rates of

Samples of 23 seafood products were obtained internationally in processing plants and subjected to controlled decomposition to produce seven discrete quality increments. A sensory expert evaluated each sample for decomposition, using a scale of 1–100. Samples were then extracted and analyzed by liquid chromatography with high‐resolution mass spectrometry (LC‐HRMS). Untargeted data processing was performed, and a sensory‐driven Random Forest model in the R programming language for each product was created. Five samples of each quality increment were analyzed in duplicate on separate days. Scores analogous to those obtained through sensory analysis were calculated by this approach, and these were compared to the original sensory findings. Correlation values (r) were calculated from these plots and ranged from 0.971 to 0.999. The finding of decomposition state of each sample was consistent with sensory for 548 of 550 test samples (99.6%). Of the two misidentified samples, one was a false negative, and one false positive (0.2% each). One additional sample from each of the 1st, 4th, and 7th increments of each product was extracted and analyzed on a third separate day to evaluate reproducibility. The range of these triplicate calculated scores was 15 or less for all samples tested, 10 or less for 63 of the 69 triplicate tests (91%), and five or less for 41 (59%). From the models, the most predictive compounds of interest were selected, and many of these were identified using MS2 data with standard or database comparison, allowing identification of compounds indicative of decomposition in these products which have not previously been explored for this purpose., This work involves a new analytical method for the determination of seafood decomposition in 23 products. LC‐HRMS was used in conjunction with sensory analysis to create models capable of producing sensory‐like outcomes using instrumentation. By doing so, we hope to provide a better compliment to sensory than existing techniques.

During the Spring 2020 semester, classes at a medium-sized regional rural university transitioned from face-to-face (FTF) to fully online instruction following Spring Break due to the COVID-19 pandemic. Learning assistants teaching in STEM disciplines experienced difficulties during this transition unique to our student population consisting of many nontraditional and first generation students living in rural areas. We conducted a phenomenological study about these LAs experiences using a Community of Practice (CoP) theory lens. Through interviews with 10 LAs, novel conversations about moving from FTF courses to a virtual setting emerged. In response to the interruptions of the CoP, LAs discussed their new learning opportunities. In this paper, we highlight the opportunities and challenges as encountered by the LAs. Considerations and concerns for instructors with similar student populations are presented.

Although autism spectrum disorder (ASD) can be reliably detected in the second year of life, the average age of diagnosis is 4 to 5 years. Limitations in access to timely ASD diagnostic evaluations delay enrollment in interventions known to improve developmental outcomes. As such, developing and testing streamlined methods for ASD diagnosis is a public health and research priority. In this report, we describe the Early Autism Evaluation (EAE) Hub system, a statewide initiative for ASD screening and diagnosis in the primary care setting. Development of the EAE Hub system involved geographically targeted provision of developmental screening technical assistance to primary care, community outreach, and training primary care clinicians in ASD evaluation. At the EAE Hubs, a standard clinical pathway was implemented for evaluation of children, ages 18 to 48 months, at risk for ASD. From 2012 to 2018, 2076 children were evaluated (mean age: 30 months; median evaluation wait time: 62 days), and 33% of children received a diagnosis of ASD. Our findings suggest that developing a tiered system of developmental screening and early ASD evaluation is feasible in a geographic region facing health care access problems. Through targeted delivery of education, outreach, and intensive practice-based training, large numbers of young children at risk for ASD can be identified, referred, and evaluated in the local primary care setting. The EAE Hub model has potential for dissemination to other states facing similar neurodevelopmental health care system burdens. Implementation lessons learned and key system successes, challenges, and future directions are reviewed.

Students enter physics classes with negative attitudes towards physics compared to the other sciences. Female students are more likely to opt out of a second higher-level physics course. Thus, the ...

The number of physics bachelor’s degrees that are awarded in the United States annually is small compared to most other science, technology, engineering, and mathematics fields, and only about one-fifth of these degrees are awarded to women. Understanding the influence of students’ science and engineering experiences on career choices is critical in order to improve future efforts to increase the number of physics majors and the participation of women. In this work, we use a physics identity framework to examine the impact of out-of-class science and engineering activities on three identity dimensions and the relationship between these dimensions and physics career choice. Through structural equation modeling of survey data from 5541 college students, we find that out-of-class science and engineering activities have the largest influence on physics performance/competence beliefs, but the association of performance/competence beliefs to overall physics identity and physics career choice is primarily mediated through recognition beliefs and physics interests. Furthermore, out-of-class science and engineering activities have a larger effect on recognition beliefs for men than for women, which is a challenging finding in light of the fact that recognition beliefs are the most influential identity dimension for women. The results of this work begin to highlight the need for out-of-class science and engineering activities that focus on not only enhancing students’ performance/competence beliefs but also students’ interests, particularly those students not previously interested, and women’s recognition beliefs with respect to physics.

Background Prior to college, many students have no experience with engineering, but some ultimately choose an engineering career. Women choose engineering at lower rates than men. This article uses critical engineering agency (CEA) to understand first-year students' attitudes and self-beliefs to predict the choice of an engineering career. Purpose/Hypothesis We investigated how first-year students' math and physics identities and students' beliefs about the ability of science to improve the world predict choice of engineering as a career and whether these beliefs differ by gender. Design/Method The data were from the Sustainability and Gender in Engineering survey distributed during fall 2011 (N = 6,772). Structural equation modeling was used to understand first-year students' affective beliefs for predicting engineering career choice. Results Math and physics identities are important for predicting engineering choice at the beginning of college. Recognition from others and interest in a subject are positive predictors of physics and math identities. Students' performance/competence beliefs alone are negative predictors of engineering career choice but are mediated by interest and recognition from others. Student identities and agency beliefs are significant predictors of engineering career choice, explaining 20% of the variance. We also found gender differences in students' math and physics identities and agency beliefs. Conclusions This article emphasizes the importance of students' recognition beliefs and the importance of agency beliefs for women in predicting engineering career choice.

Polymeric membranes are glassy materials at non-equilibrium state and inherently undergo a spontaneous evolution towards equilibrium known as physical aging. Volume relaxation characteristic during the course of aging is governed by the surrounding temperature in which the polymeric material is aged. Although there are studies to understand how polymeric materials evolve over time towards equilibrium at different operating temperatures, the theories have been developed merely in response to experimental observations and phenomenological theory at bulk glassy state without the implementation of sample size effects. Limited work has been done to characterize the physical aging process to thin polymeric films using reasonable physical parameters and mathematical models with incorporation of thermodynamics and film thickness consideration. The current work applies the Tait equation of states and thickness dependent glass transition temperature, integrated within a simple linear correlation, to model the temperature and thickness dependent physical aging. The mathematical model has been validated with experimental aging data, whereby a small deviation is observed that has been explained by intuitive reasoning pertaining to the thermodynamic parameters. The mathematical model has been further employed to study the gas transport properties of O

Care coordination is integral to improving the health of children and families. Using a Shared Plan of Care (SPoC) as a care coordination activity is recommended, but related research on outcomes in pediatric populations with complex medical conditions is scarce. OBJECTIVE This study explores family outcomes associated with implementation of a care coordination/SPoC intervention with a population of children with neurodevelopmental disabilities and their families. METHODS Children aged 2 to 10 years with a neurodevelopmental disability (autism spectrum disorder: 60.9%; global developmental delay/intellectual disability: 39.1%) were referred by pediatric subspecialty programs for care coordination. The intervention included previsit assessments, planned care visits, SPoC development, and 6-month care coordination. A single-group, repeated-measures design was used to evaluate model feasibility and effects on care coordination access, SPoC use, family/clinician goals and needs met, family-professional partnerships, family empowerment, and worry. Times 1 and 2 survey data were collected from a total of 70 families. RESULTS Analysis shows significant improvement in care coordination access, SPoC use, goals achieved, needs met, family empowerment, and reduced worry. There was no significant change in family-professional partnerships and reported SPoC use. CONCLUSION Findings provide preliminary evidence that a care coordination model using a family-centered, goal-oriented SPoC is a feasible and effective approach with a cohort of children with complex neurodevelopmental disorders and is associated with improved family outcomes. Replication studies are warranted and should include a control group, prolonged time period, additional validated outcome measures, and measurement of costs and professional impact.

Introduction Children and youth with special health care needs (CYSHCN) need, but do not have, adequate care coordination (CC); CC leads to better pediatric care, improved family/professional experience of care, and enhanced population health. Current CC initiatives are promising but lack adherence to emerging definitions/standards. A Lucile Packard Report provides guidelines for using a Shared Plan of Care (SPoC) as a CC approach; studied implementation is needed. Purpose The studied implementation of the Riley Care Coordination Program (RCCP) set out to: 1) illuminate components of family-centered, interdisciplinary, team-based care/coordination and SPoC, use 2) underscore family participation/engagement 3) reveal implementation processes/lessons learned. Methods Children (ages 2–10) with neurodevelopmental disabilities were referred by subspecialists; families agreed to participate in RCCP from a children's hospital ambulatory care setting. RCCP team used a five-phase workflow to implement CC: (1) Family Outreach/Engagement 2) Family and Team Pre-Visit Work, 3) Population-Based Teamwork, 4) Planned-Care Visits/SPOC “Co-Production”, 5) Ongoing Care Coordination and Community Transfer. Family surveys and SPoC goals informed an evaluation. Results Children (268) with neurodevelopmental disabilities enrolled/completed the 6-month RCCP; it was a feasible endeavor. The co-produced SPoC supported families/care neighborhood partners to meet goals/unmet needs. Team plan-do-study-act improvement cycles informed RCCP enhancements. Discussion/Conclusion Eliciting/using family goals to drive CC emphasized family priorities; children/families gained interventions, treatments, confidence and navigation skills. Going beyond episodic, reactive care, RCCP achieved better CC with care neighborhood learning partnerships. Investing in this quality care coordination with fidelity to national standards holds promise.

Soluble methane monooxygenase (sMMO) from methane-oxidising bacteria can oxygenate more than 100 hydrocarbons and is one of the most catalytically versatile biological oxidation catalysts. Expression of recombinant sMMO has to date not been achieved in Escherichia coli and so an alternative expression system must be used to manipulate it genetically. Here we report substantial improvements to the previously described system for mutagenesis of sMMO and expression of recombinant enzymes in a methanotroph (Methylosinus trichosporium OB3b) expression system. This system has been utilised to make a number of new mutants and to engineer sMMO to increase its catalytic precision with a specific substrate whilst increasing activity by up to 6-fold. These results are the first ‘proof-of-principle’ experiments illustrating the feasibility of developing sMMO-derived catalysts for diverse applications., Regioselectivity of soluble methane monooxygenase towards an aromatic substrate was increased via site-directed mutagenesis, indicating that this broad substrate-range enzyme can be engineered into a precise biocatalyst.

Context. Parallaxes for 331 classical Cepheids, 31 Type II Cepheids, and 364 RR Lyrae stars in common between Gaia and the Hipparcos and Tycho-2 catalogues are published in Gaia Data Release 1 (DR1) as part of the Tycho-Gaia Astrometric Solution (TGAS). Aims. In order to test these first parallax measurements of the primary standard candles of the cosmological distance ladder, which involve astrometry collected by Gaia during the initial 14 months of science operation, we compared them with literature estimates and derived new period-luminosity (PL), period-Wesenheit (PW) relations for classical and Type II Cepheids and infrared PL, PL-metallicity (PLZ), and optical luminosity-metallicity (MV-[Fe/H]) relations for the RR Lyrae stars, with zero points based on TGAS. Methods. Classical Cepheids were carefully selected in order to discard known or suspected binary systems. The final sample comprises 102 fundamental mode pulsators with periods ranging from 1.68 to 51.66 days (of which 33 with σΩ/Ω< 0.5). The Type II Cepheids include a total of 26 W Virginis and BL Herculis stars spanning the period range from 1.16 to 30.00 days (of which only 7 with σΩ/Ω< 0.5). The RR Lyrae stars include 200 sources with pulsation period ranging from 0.27 to 0.80 days (of which 112 with σΩ/Ω< 0.5). The new relations were computed using multi-band (V,I,J,Ks) photometry and spectroscopic metal abundances available in the literature, and by applying three alternative approaches: (i) linear least-squares fitting of the absolute magnitudes inferred from direct transformation of the TGAS parallaxes; (ii) adopting astrometry-based luminosities; and (iii) using a Bayesian fitting approach. The last two methods work in parallax space where parallaxes are used directly, thus maintaining symmetrical errors and allowing negative parallaxes to be used. The TGAS-based PL,PW,PLZ, and MV- [Fe/H] relations are discussed by comparing the distance to the Large Magellanic Cloud provided by different types of pulsating stars and alternative fitting methods. Results. Good agreement is found from direct comparison of the parallaxes of RR Lyrae stars for which both TGAS and HST measurements are available. Similarly, very good agreement is found between the TGAS values and the parallaxes inferred from the absolute magnitudes of Cepheids and RR Lyrae stars analysed with the Baade-Wesselink method. TGAS values also compare favourably with the parallaxes inferred by theoretical model fitting of the multi-band light curves for two of the three classical Cepheids and one RR Lyrae star, which were analysed with this technique in our samples. The K-band PL relations show the significant improvement of the TGAS parallaxes for Cepheids and RR Lyrae stars with respect to the Hipparcos measurements. This is particularly true for the RR Lyrae stars for which improvement in quality and statistics is impressive. Conclusions. TGAS parallaxes bring a significant added value to the previous Hipparcos estimates. The relations presented in this paper represent the first Gaia-calibrated relations and form a work-in-progress milestone report in the wait for Gaia-only parallaxes of which a first solution will become available with Gaia Data Release 2 (DR2) in 2018. © ESO, 2017.