Objectives/Goals: The timing of neurosurgery is highly variable for post-hemorrhagic hydrocephalus (PHH) of prematurity. We sought to utilize microvascular imaging (MVI) in ultrasound (US) to identify biomarkers to discern the opportune time for intervention and to analyze the cerebrospinal fluid (CSF) characteristics as they pertain to neurosurgical outcome. Methods/Study Population: The inclusion criteria for the study are admission to the neonatal intensive care unit (NICU) with a diagnosis of Papile grade III or IV. Exclusion criteria are congenital hydrocephalus and hydrocephalus secondary to myelomeningocele/brain tumor/vascular malformation. We are a level IV tertiary referral center. Our current clinical care pathway utilizes brain US at admission and at weekly intervals. Patients who meet certain clinical and radiographic parameters undergo temporary or permanent CSF diversion. Results/Anticipated Results: NEL was implemented at our institution for PHH of prematurity in fall 2022. To date, we have had 20 patients who were diagnosed with grade III or IV IVH, of which 12 qualified for NEL. Our preliminary safety and feasibility results as well as the innovative bedside technique pioneered at our institution are currently in revision stages for publication. Preliminary results of the MVI data have yielded that hyperemia may confer venous congestion in the germinal matrix, which should then alert the neurosurgeon to delay any intervention to avoid progression of intraventricular blood. With regard to CSF characteristics, we anticipate that protein, cell count, hemoglobin, iron, and ferritin will decrease with NEL. Discussion/Significance of Impact: The timing of PHH of prematurity is highly variable. We expect that MVI will offer radiographic biomarkers to guide optimal timing of neurosurgical intervention. A better understanding of CSF characteristics could potentially educate the neurosurgeon with regard to optimal timing of permanent CSF diversion based on specific CSF parameters.

Lionfish, as an invasive species, significantly disrupts marine ecosystems. Promoting lionfish as eatable seafood among consumers may effectively reduce the lionfish population, alleviating its impact on marine ecosystems. The primary goal of this article is to assess lionfish’s market potential and determine an effective policy instrument to nudge consumers’ preference for lionfish. Discrete choice experiments are used to elicit consumer preferences for seafood dishes. In addition, we use a split-sample approach to test the effects of providing information about the ecological benefit of eating lionfish. Results indicate that consumer willingness-to-pays for other fish species were substantially higher than that of lionfish, even with the information treatment.

University students often make less healthful dietary choices whilst at university however, do not typically receive advice and support to help them eat more healthily(1,2). A tool which could be provided to students to promote more favourable dietary behaviours is the eNutri web-based app which includes a food frequency questionnaire (FFQ) and delivers automated personalised nutrition advice (PNA) and a diet quality score (DQS) consisting of 11 food/nutrient components(3). The PNA includes scores and general advice for each component and, for the user’s three lowest scoring components, recommends which foods to eat more/less frequently to improve their DQS. As part of a 4-week intervention study, we aimed to explore the perceptions of the eNutri PNA in UK university students.

As part of this intervention, 14 students from the Universities of Reading and Hertfordshire completed the eNutri FFQ and received their PNA. At the end of the study, they rated how much they agreed with statements about the perceived value and benefit (if any) of the eNutri PNA tool, on a 6-point scale ranging from strongly disagree to strongly agree. The percentage of respondents reported is the total number who responded “somewhat agree”, “agree”, or “strongly agree” to each statement.

Of the 14 students, 79% were female with a mean age of 25y (range = 18-37y) and mean BMI of 24.7kg/m2 (range = 19.4-31.9kg/m2). At baseline, the average importance of a healthy diet to the participants (n = 13) was rated at 7.2 out of 10 (with 0 being ‘not important at all’ and 10 being ‘very important’). In total, 57% of respondents indicated that they felt they ‘were eating a healthier diet because of the eNutri advice received’ and only 14% reported that ‘the advice did not motivate them to make changes to their diet’. Furthermore, 64% of respondents indicated that the ‘eNutri PNA gave them confidence in their ability to make changes to their diet’ and that it ‘supported them to do so’. Half of the students agreed that ‘they would want to use eNutri long term to track their progress and receive regular PNA’. In addition, 79% agreed that ‘eNutri should be offered to all university students to help them make healthier food choices’, and that if eNutri was offered to them for free by their university, ‘it would be a valuable student benefit’ and they ‘would want to use it again’.

In general, university students indicated the eNutri PNA tool supported them to eat healthier and providing access to the wider student population would be beneficial to encourage healthy eating at university. These findings along with the quantitative data from the PNA intervention which is currently being analysed will support the development of larger, suitably-powered studies to confirm these findings.

Dietary assessment methods play a crucial role in evaluating individuals’ and communities’ dietary intake (1). Among these methods, Food Frequency Questionnaires (FFQs) are common in epidemiological dietary surveys. However, with the rapid advancement of technology and increased internet usage globally, innovative digital tools to assess dietary intake have emerged (2). Collaborative efforts between tool developers and dietitians are vital for leveraging technology effectively and advancing evidence-based nutrition practice. Thus, the aim of this study was to explore the: 1) perceived advantages and disadvantages of FFQs, 2) challenges and benefits associated with transitioning from traditional paper-based to web-based FFQs, and 3) opportunities and challenges of integrating a range of new technologies, from established digital tools such as web-based or smartphone applications to more futuristic options such as artificial intelligence and biosensors, into dietary assessment practices and research among researchfocused dietitians with PhD.

Seven dietitians from Turkey with extensive experience in using dietary assessment methods were selected using purposive sampling. One-to-one semi-structured interviews were conducted using a topic guide via Microsoft Teams and transcribed verbatim into text-based records. They examined advantages and challenges of paper-based and web-based FFQs, ranked a list of predefined features for FFQ development, and provided insights into technology integration, addressing both the benefits and challenges of incorporating new tools. Preliminary thematic analysis was conducted using NVivo12 software to identify common themes.

Participants had an average of 18 years (6-49 years) of experience in nutritional research. Common challenges identified by the group included the absence of validated FFQs in Turkish (n = 5), necessitating the use of FFQs alongside other methods like 24-hour recall (n = 4). General diet representation was commonly appreciated, while all participants deemed paper-based semiquantitative FFQs time-consuming. The top priorities for FFQ enhancement included a semiquantitative feature for nutrient intake calculation, inclusion of portion size photos, and evidencebased development using national diet survey data. None of the participants had employed any digital dietary assessment tools in their research endeavors. However, there was a consensus recognizing the potential benefits and drawbacks of using technology in dietary assessment. Participants highlighted the efficiency (n = 7), increased flexibility in data collection (n = 6), and heightened accuracy (n = 5) associated with technology-based assessment methods as significant advantages. Common concerns included users’ lack of proficiency with technology (n = 6), potential challenges related to the cost of research and development (n = 4), and considerations surrounding data privacy and ethical breaches (n = 3), particularly the unauthorized recording of sensitive information by artificial intelligence in camera-based technology.

The insights from Turkish dietitians highlight the necessity for validated Turkish web-based FFQs. While technology-based dietary assessment tools offer research benefits, addressing integration barriers is crucial. These findings will contribute to the development of web-based FFQs and more futuristic dietary assessment tools, advancing evidence-based nutrition practice.

By comparing the budget of a data-driven quasi-linear approximation (DQLA) (Holford, Lee & Hwang, J. Fluid Mech., vol. 980, 2024, A12) and direct numerical simulation (DNS) (Lee & Moser, J. Fluid Mech., vol. 860, 2019, pp. 886–938), the energetics of linear models for wall-bounded turbulence are assessed. The DQLA is implemented with the linearised Navier–Stokes equations with a stochastic forcing term and an eddy viscosity diffusion model. The self-consistent nature of the DQLA allows for a global comparison across all wavenumbers to assess the role of the various terms in the linear model in replicating the features present in DNS. Starting from the steady-state second-order statistics of a Fourier mode, a spectral budget equation is derived, connecting Lyapunov-like equations to the transport budget equations obtained from DNS. It is found that the DQLA and DNS are in good qualitative agreement for the streamwise-elongated structures present in DNS, comparing well for production, viscous transport and wall-normal turbulent transport. However, the DQLA does not have an energy-conservative nonlinear term. This results in no dissipation under molecular viscosity, with energy instead being dissipated locally through the eddy viscosity model, which models the energy removal by the nonlinear term at integral length scales. Comparison of the pressure–strain statistics also highlights the absence of the streak instability, with production and forcing mainly being retained in the streamwise and wall-normal components or shifted to the spanwise component. It is demonstrated that the eddy viscosity diffusion term locally enforces a self-similar budget, making the model for the nonlinear term self-consistent with a logarithmic mean profile. Implications and recommendations to improve the current eddy viscosity enhanced linear models are also discussed concerning the comparison with DNS, as well as considerations with regard to pressure statistics to mimic the role of the streak instability through colour of turbulence models.

This paper hypothesizes that respondents in contingent valuation surveys may form different benefit and cost levels that deviate from the levels specified by the researcher. The conceptual framework investigates potential biases based on the direction of deviations. Survey data on the restoration of wetlands in Tampa Bay show that a significant portion of the respondents deviate from the benefit and cost levels presented in the scenario. Empirical results indicate that willingness-to-pay (WTP) estimates are very sensitive to the perceived benefit and cost levels. Depending on the direction of the deviations, WTP estimates could fluctuate up to +61 percent and −82 percent, compared to the estimate from those who evaluate the scenario at the presented levels.

Acute Appendicitis (AA) is an inflammatory condition of the vermiform appendix in the caecum of the colon. Genetic polymorphisms have been suggested as risk factors predisposing to AA susceptibility but have remained relatively unknown, due to insufficient sample size in previous analyses. Therefore, the primary research aim was to identify genetic variants associated with AA. It was hypothesised that gene polymorphisms associated with AA will provide a connection to other diet-related inflammatory diseases. Genetic variants associated with AA were studied via a Genome-Wide Association Scan (GWAS) using the Global Biobank Meta-Analysis Initiative (GBMI). The GBMI is a collaborative consortium of 23 biobanks with a publicly released repository of de-identified genetic data linked with digital health records spanning 4 continents with a study population size of over 2.2 million consented individuals of multiple ancestral backgrounds1. A linear regression model was used to estimate the association between single nucleotide polymorphisms (SNPs), across the human genome, and AA by each contributing biobank. The results were then meta-analysed with a total of 32,706 cases and 1,075,763 controls. In the present study, the free open-source Complex Traits Genetic Virtual Lab (CTG-VL) platform was used to access, analyse, and visualise the GWAS summary statistics of AA2. Genome-wide significantly associated SNPs (p-value < 5 x 10-8) were further searched for their associations with health-related traits in publicly available GWAS summary statistics. Upon analysis, significantly associated SNPs for AA were identified within or nearby nine genes. HLX, NKX2-3, LTBR, and DLEU1 are genes involved in immune responses; IRF8 associated with maturation of myeloid cells; OSR-1 responsible for transmembrane ion transporter activity; NCALD a regulator of G protein-coupled signal transduction. In addition, based on the hypothesis, the SNP of key clinical importance was the HLA-C rs2524046 (p-value = 2.38 x 10-8), with the AA risk-increasing allele C being also strongly associated with a higher risk of coeliac disease (CD). The CD is an autoimmune condition where gluten, a protein present in grains such as barley, rye, and wheat, elicits an inflammatory response that results in damage to the small intestine lining. Considering how both AA and CD share the same SNP, it is possible to speculate whether gluten initiates a similar pathophysiological mechanism that exacerbates inflammation in the vermiform appendix in AA. In conclusion, the top AA associated SNPs suggests its development could be due to immunological responses influenced by dietary nutrient intake. The HLA-C SNP is common to AA and CD, suggesting that the gluten protein found in certain cereal grains possibly contributes to the pathophysiology of AA like CD. This warrants further investigations into whether dietary gluten could play a key role in AA development.

Faecal examinations for helminth eggs were performed on 1869 people from two riverside localities, Vientiane Municipality and Saravane Province, along the Mekong River, Laos. To obtain adult flukes, 42 people positive for small trematode eggs (Opisthorchis viverrini, heterophyid, or lecithodendriid eggs) were treated with a 20–30 mg kg−1 single dose of praziquantel and purged. Diarrhoeic stools were then collected from 36 people (18 in each area) and searched for helminth parasites using stereomicroscopes. Faecal examinations revealed positive rates for small trematode eggs of 53.3% and 70.8% (average 65.2%) in Vientiane and Saravane Province, respectively. Infections with O. viverrini and six species of intestinal flukes were found, namely, Haplorchis taichui, H. pumilio, H. yokogawai, Centrocestus caninus, Prosthodendrium molenkampi, and Phaneropsolus bonnei. The total number of flukes collected and the proportion of fluke species recovered were markedly different in the two localities; in Vientiane, 1041 O. viverrini (57.8 per person) and 615 others (34.2 per person), whereas in Saravane, 395 O. viverrini (21.9 per person) and 155207 others (8622.6 per person). Five people from Saravane harboured no O. viverrini but numerous heterophyid and/or lecithodendriid flukes. The results indicate that O. viverrini and several species of heterophyid and lecithodendriid flukes are endemic in these two riverside localities, and suggest that the intensity of infection and the relative proportion of fluke species vary by locality along the Mekong River basin.

A data-driven implementation of a quasi-linear approximation is presented, extending a minimal quasi-linear approximation (MQLA) (Hwang & Ekchardt, J. Fluid Mech., vol. 894, 2020, p. A23) to incorporate non-zero streamwise Fourier modes. A data-based approach is proposed, matching the two-dimensional wavenumber spectra for a fixed spanwise wavenumber between a direct numerical simulation (DNS) (Lee & Moser, J. Fluid Mech., vol. 774, 2015, pp. 395–415) and that generated by the eddy viscosity enhanced linearised Navier–Stokes equations at $Re_\tau \approx 5200$, where $Re_\tau$ is the friction Reynolds number. Leveraging the self-similar nature of the energy-containing part in the DNS velocity spectra, a universal self-similar streamwise wavenumber weight is determined for the linearised fluctuation equations at $Re_\tau \simeq ~5200$. The data-driven quasi-linear approximation (DQLA) provides noteworthy enhancements in the wall-normal and spanwise turbulence intensity profiles. It exhibits a qualitatively similar structure in the spanwise wavenumber velocity spectra compared with the MQLA. Additionally, the DQLA offers extra statistical outputs in the streamwise wavenumber coordinates, enabling a comprehensive global analysis of this modelling approach. By comparing the DQLA results with DNS results, the limitations of the presented framework are discussed, mainly pertaining to the lack of the streak instability (or transient growth) mechanism and energy cascade from the linearised model. The DQLA is subsequently employed over a range of Reynolds numbers up to $Re_\tau = 10^5$. Overall, the turbulence statistics and spectra produced by the DQLA scale consistently with the available DNS and experimental data, with the Townsend–Perry constants displaying a mild Reynolds dependence (Hwang, Hutchins & Marusic, J. Fluid Mech., vol. 933, 2022, p. A8). The scaling behaviour of the turbulence intensity profiles deviates away from the classic $\ln (Re_\tau )$ scaling, following the inverse centreline velocity scaling for the higher Reynolds numbers.

In the present study an optimisation problem is formulated to determine the forcing of an eddy-viscosity-based linearised Navier–Stokes model in channel flow at $Re_\tau \approx 5200$ ($Re_\tau$ is the friction Reynolds number), where the forcing is white-in-time and spatially decorrelated. The objective functional is prescribed such that the forcing drives a response to best match a set of velocity spectra from direct numerical simulation (DNS), as well as remaining sufficiently smooth. Strong quantitative agreement is obtained between the velocity spectra from the linear model with optimal forcing and from DNS, but only qualitative agreement between the Reynolds shear stress co-spectra from the model and DNS. The forcing spectra exhibit a level of self-similarity, associated with the primary peak in the velocity spectra, but they also reveal a non-negligible amount of energy spent in phenomenologically mimicking the non-self-similar part of the velocity spectra associated with energy cascade. By exploiting linearity, the effect of the individual forcing components is assessed and the contributions from the Orr mechanism and the lift-up effect are also identified. Finally, the effect of the strength of the eddy viscosity on the optimisation performance is investigated. The inclusion of the eddy viscosity diffusion operator is shown to be essential in modelling of the near-wall features, while still allowing the forcing of the self-similar primary peak. In particular, reducing the strength of the eddy viscosity results in a considerable increase in the near-wall forcing of wall-parallel components.

The methods of spatial statistics have been successfully applied to the study of linguistic variation, especially for detecting the existence of spatial patterns in the geographical distribution of linguistic features. However, the use of local indicators of spatial autocorrelation for detecting spatial clusters have been limited to continuous variables, and we propose to apply the new method of Anselin and Li (2019) for categorical variables to linguistic data. We illustrate this method with the case of Japanese rendaku, or sequential voicing, whose dialectal variation is still poorly documented. Focusing on regional differences in the frequency of rendaku, we examined the occurrence of rendaku for four lexemes in 4,921 place names from all Japan. A statistical analysis of local spatial association and an unsupervised density-based cluster analysis revealed the existence of two cluster areas of high rendaku frequency centered around Wakayama and Fukushima-Yamagata prefectures. This suggests that rendaku is more frequent in those dialects, and we recommend that further studies in the dialectal variation of rendaku start by looking at those areas.