In the context of the rapidly evolving modern food environment, there is a need for dietary assessment tools to accurately assess current food intake. The objective of this research was to develop and validate a new food frequency questionnaire (FFQ). A 265 item web-based, self-administered FFQ (PREDICT-FFQ-v1) was developed using information from two FFQs and US and UK cohort level data. Over a 1-month period, 68 participants completed the PREDICT-FFQ-v1 and six 24-h recalls (reference tool; Intake24). Relative validity was assessed using Bland–Altman plots, cross-classification food group analysis, and Spearman’s rank correlation for food groups and nutrients. From the Bland–Altman plots, the median bias between the PREDICT-FFQ-v1 and Intake24 were energy (414 kcal (95%CI 289 to 609) (1734 kj (95% CI 1208 to 2549)), carbohydrate (2.3 %EI, 95%CI 0.08 to 3.68), fat (2.5 %EI, 95%CI 0.23 to 3.52), protein (−1.14 %EI, 95% CI −1.64 to −0.23), and fibre (1.86 g/1000 kcal, 95% CI 1.05 to 2.65). Cross-classification by quartiles of diet quality (plant-based diet index) categorised >76% of participants into the same or adjacent quartiles. Correlation coefficients for food groups assessed using both tools ranged from 0.38 (legumes) to 0.78 (meat), and for energy-adjusted nutrients ranged from 0.28 (total fat) to 0.82 (alcohol). The PREDICT-FFQ-v1 captures intakes of foods that are commonly consumed in modern diets, with greater resolution at the food level than previous tools. The PREDICT-FFQ-v1 has acceptable relative validity in comparison to 24-h dietary recall and provides a valuable alternative for assessing dietary intake in nutritional epidemiology.

Saltmarshes along the United States South Atlantic Coast, and globally, face critical threats from sea-level rise, edge erosion, ponding and historical human modifications, all of which are exacerbated by sediment deficits. Uncontaminated sediment stored in confined disposal facilities (CDFs) represents a significant and often overlooked resource for marsh restoration. As a result of management practices in the second half of the twentieth century, many unnaturally high earthen structures occur adjacent to drowning saltmarshes in the United States. In this perspective article, we explore the potential for mining CDFs to provide the sediment necessary to restore and sustain at-risk saltmarshes. Using publicly available data from the US South Atlantic coast, we estimate that reclaiming sediment from existing CDFs could offset sea-level rise impacts by 2100 for 13% of South Atlantic marshes. While the potential benefit is substantial, scientific, planning and implementation hurdles are presented. These pitfalls include potential issues with sediment characterization, limited guidance on chemical evaluation to reduce environmental risks, construction complications due to soft soils and legal and financial considerations. Despite these barriers, we conclude with a path forward for researchers and practitioners to address the hurdles through dedicated case studies, adaptive management principles and stakeholder engagement.

Diets low in diverse fibre-rich plant foods contribute to the rise of chronic disease. The BIOME study (NCT06231706; 6-week parallel randomised controlled trial) in 399 adults (35–65 years; BMI 18·5–40 kg/m2; fibre intake < 20 g/d) investigated a whole-food plant blend containing > 30 ingredients, rich in (poly)phenols, fibre and micronutrients. Participants were randomised (1:1:1) to the blend (30 g/d), an isoenergetic control (bread croutons, 28 g/d) or probiotic (Lactobacillus rhamnosus, 15bn CFU/d). Analysts were blinded to allocation. The primary outcome was change in ‘favourable’ and ‘unfavourable’ gut microbiome species (ZOE Microbiome Health Ranking 2025); secondary outcomes included blood metabolites, symptoms, stool output, anthropometry, hunger, sleep, energy and mood. A crossover sub-study explored postprandial glucose, hunger and mood. Of 349 participants analysed (fifty excluded), self-reported adherence was > 98 %. The 30+ plant blend resulted in more species changing relative abundance at 6 weeks v. control (57 v. 14 species-level genome bins (SGB), P < 0·001) and probiotic (57 v. 4 SGB, P < 0·001). There were no significant between-group differences in microbiome health ranks of significantly changing species (increasing or decreasing). Blend participants self-reported reduced indigestion, constipation, heartburn and flatulence and increased energy v. control (all P < 0·05). Six related but no serious adverse events occurred. In the sub-study, adding the blend to a high-carbohydrate meal (v. meal alone) reduced hunger, increased fullness and energy (3-h incremental AUC, all P < 0·05), with no effect on postprandial glucose. This 30+ plant blend represents a simple strategy to modify gut microbiome composition and benefit gastrointestinal symptoms in healthy adults.

The Southern-sky MWA Rapid Two-metre survey, which capitalises on the MWA’s large field of view and voltage recording capability, is an ambitious effort to conduct sensitive searches for pulsars and fast transients in the 140–170 MHz band. The novelty of voltage recording, long dwell times (4 800 s), and the high-time and -frequency resolutions (100 $\unicode{x03BC}$s/10-kHz) exchange a large survey speed ($\sim450\,\text{deg}^ {2} \, \text{h}^{-1}$) for high computational cost. The survey covers the entire sky south of $+30^{\circ}$ in declination through a series of dedicated observing campaigns, accumulating nearly four petabytes of data. The large volumes of data and the processing challenges at low frequencies necessitate data processing to be approached in multiple phases, and the initial searches focused on a first-pass (shallow) survey of parts of the skies, as reported in earlier papers in this series. These data are also processed for re-detections of hundreds of known pulsars in the southern sky, many of which are also the first detections at frequencies below 400 MHz. This paper is motivated by the need to address the inherent difficulties (for the wider community) in handling large amounts of voltage data and software/processing challenges for routine pulsar detections and also by the fast-evolving landscape of the SKA Observatory (SKAO). With the construction and commissioning ramping up towards the full-scale SKA-Low, a low-frequency catalogue of detectable pulsars in the southern sky will prove to be a valuable reference for the science verification exercise. A growing sample of low-frequency pulsar detections and measurements will also prove invaluable in a variety of science applications including population studies, survey simulations, and emission beam models, refining interstellar medium models for electron densities and the spatial distribution of turbulence, and also for forecasting the detection prospects and survey yield from pulsar surveys planned with SKA-Low. We also present an electronic catalogue of various data products, including pulse profiles, time series, and multi-channel folded archives, along with the measurements of dispersion and rotation measures, and mean flux densities for the detected pulsars, and this will be periodically updated as more detections flow on from the ongoing data processing.

Contact precaution policies are used to prevent the spread of pathogenic organisms. We aimed to test whether AI-assisted cameras could monitor aspects of compliance with these policies. Testing in both simulated and real patient care settings yielded exceptional sensitivity and good specificity, indicating potential to monitor adherence to contact precautions.

Acute gastrointestinal illness (AGI) remains a significant public health issue and differences in risk based on a comprehensive set of sociodemographic characteristics remain poorly understood. Thus, this retrospective cohort study was conducted to identify the risk of incurring an AGI-related emergency department (ED) visit or inpatient hospitalization based on various sociodemographic factors. Linked respondents of Canadian Community Health Survey cycles 2.1, 3.1, and 2007–2015 were followed from their interview date until 31 December 2017, using the National Ambulatory Care Reporting System (NACRS) and the Discharge Abstract Database (DAD) to capture emergency ED visits and hospitalizations due to AGI, respectively. Effects of identified potential risk factors for the incidence of AGI-related ED visits or hospitalizations were estimated Cox proportional hazards regression to generate hazard ratios (HRs) with 95% confidence intervals (CIs). A total of 190,700 respondents were linked to NACRS and 470,700 were linked to DAD. Six per cent of respondents visited an ED and 2% were hospitalized for AGI. Fully-adjusted estimates revealed that high-risk groups with the strongest effects were people with poor self-perceived health (ED visits: HR 1.47 (95% CI 1.40–1.54), hospitalizations: HR 1.92 (95% CI 1.82–2.02)), and people living with at least one chronic condition (ED visits: HR 1.54 (95% CI 1.47–1.61), hospitalizations: HR 1.65 (95% CI 1.57–1.73)). This study identified risk factors for requiring hospital care for AGI in the Canadian context. Additional research is needed to investigate mechanisms for differential exposure to pathogens by sociodemographic characteristics that might lead to increased risks of AGI.

The n-3 index has been proposed as a risk factor for CVD endpoints. However, the association of the O3I defined with different cut-offs and cardiometabolic risk factors has been less studied. This study aimed to investigate the association between two cut-off points of the O3I and cardiometabolic risk factors in Brazilian and Puerto Rican adults. This cross-sectional analysis included 249 Brazilians and 1261 Puerto Ricans, aged 45–75 years. Fatty acids composition was quantified in erythrocyte membranes using GC with a flame ionisation detector. The O3I was categorised as ≤ 4 % (low), > 4–8 % (intermediate) and ≥ 8 % (desirable), and as ≤ 4 % (very low), > 4–6 % (low), > 6–8 % (moderate) and > 8 % (high) in the second cut-off classification. Serum lipids, waist circumference and insulin resistance were measured from standardised protocols. Multivariable-adjusted linear models tested the association between the O3I and cardiometabolic factors. Brazilians had a mean (sd) O3I of 4·65 % (1·19 %) v. 4·43 % (1·14 %) in Puerto Ricans (P = 0·033), with only 1·6 % of Brazilians and 1·2 % of Puerto Ricans presenting a desirable/high O3I. The O3I, as continuous or for > 4 % (v. ≤ 4 %), was inversely associated with TAG, VLDL and TAG/HDL-cholesterol ratio in Puerto Ricans. In Brazilians, an O3I > 6 % (v. ≤ 6 %) was associated with higher total cholesterol, LDL-cholesterol and non-HDL-cholesterol. Both populations presented O3I below the desirable levels, and the magnitude and direction of associations with cardiometabolic factors varied by study and cut-offs, reinforcing the importance of expanding these investigations to more diverse populations.

Multicenter clinical trials are essential for evaluating interventions but often face significant challenges in study design, site coordination, participant recruitment, and regulatory compliance. To address these issues, the National Institutes of Health’s National Center for Advancing Translational Sciences established the Trial Innovation Network (TIN). The TIN offers a scientific consultation process, providing access to clinical trial and disease experts who provide input and recommendations throughout the trial’s duration, at no cost to investigators. This approach aims to improve trial design, accelerate implementation, foster interdisciplinary teamwork, and spur innovations that enhance multicenter trial quality and efficiency. The TIN leverages resources of the Clinical and Translational Science Awards (CTSA) program, complementing local capabilities at the investigator’s institution. The Initial Consultation process focuses on the study’s scientific premise, design, site development, recruitment and retention strategies, funding feasibility, and other support areas. As of 6/1/2024, the TIN has provided 431 Initial Consultations to increase efficiency and accelerate trial implementation by delivering customized support and tailored recommendations. Across a range of clinical trials, the TIN has developed standardized, streamlined, and adaptable processes. We describe these processes, provide operational metrics, and include a set of lessons learned for consideration by other trial support and innovation networks.