FODMAPs (Fermentable Oligosaccharides Disaccharides Monosaccharides And Polyols) are indigestible, short-chain carbohydrates fermented in the large intestine, causing discomfort in patients with irritable bowel syndrome (IBS). FODMAPs, specifically fructans, galacto-oligosaccharides (GOS), lactose, fructose in excess of glucose, and polyols, are found in fruits, vegetables, grains, milk and their processed products. The aim of this project was to identify the major sources of FODMAPs in the New Zealand diet to guide research into reducing FODMAPs in those major sources. FODMAP data were collected from the New Zealand Food Composition Database(1), in-house data and published sources(2-5). NZ food consumption data were sourced from multiple published sources. Estimated potential dietary intake of FODMAPs in NZ was calculated in grams per capita per annum. Foods and beverages were ranked to ascertain major FODMAP sources within each food group. Without replicated data for individual foods, inferential statistical analysis was not possible. NZ food consumption data on a per capita per annum basis is limited, therefore consumption data were calculated based on serving size and serves per day per capita for some foods. Comprehensive FODMAP data are not available for NZ foods and beverages. In terms of FODMAP data, the New Zealand Food Composition Database(1) contains only fructose and glucose data (to calculate excess fructose) and lactose data. The main cereal and grain source of FODMAPs is wheat flour (763–831 g fructan) and the main cereal-based product sources are breads (55–1194 g fructan, up to 121 g excess fructose and 55–159 g GOS) and breakfast cereals (60–525 g fructan, up to 99 g excess fructose, up to 159 g GOS, and 2409 g lactose if consumed with cow’s milk). The main fruit source of FODMAPs is apples, providing up to 456 g excess fructose and 68–81 g sorbitol. The main vegetable sources are onion bulb (134–662 g fructan), cauliflower (131 g mannitol) and mushroom (53 g mannitol). Consumption data for garlic were unavailable. Cow’s milk is the main source of lactose (4516–5259 g), followed by ice cream (415–937 g), cheeses and butter. The main beverage sources are milk and milk-based café-style coffee (1407–4220 g lactose) and apple-based fruit juices (486–836 g excess fructose). Little data exist for sweeteners and confectionery. Honey and pear juice (containing excess fructose) are sources, as are artificial sweeteners such as erythritol, maltitol and xylitol (i.e. polyols), commonly found in chewing gum, diabetic and low-carb food products. Milk chocolate contributes to lactose consumption. More comprehensive New Zealand food consumption data (on a per capita per annum basis) are required to obtain a more accurate picture of dietary FODMAP intake. Adding oligosaccharide and polyol data to the New Zealand Food Composition Database would be beneficial to provide complete FODMAP data of New Zealand foods.

Almost 12 % of the human population have insufficient access to food and hence are at risk from nutrient deficiencies and related conditions, such as anaemia and stunting. Ruminant meat and milk are rich in protein and micronutrients, making them a highly nutritious food source for human consumption. Conversely, ruminant production contributes to methane (CH4) emissions, a greenhouse gas (GHG) with a global warming potential (GWP) 27–30 times greater than that of carbon dioxide (CO2). Nonetheless, ruminant production plays a crucial role in the circular bioeconomy in terms of upcycling agricultural products that cannot be consumed by humans, into valuable and nutritional food, whilst delivering important ecosystem services. Taking on board the complexities of ruminant production and the need to improve both human and planetary health, there is increasing emphasis on developing innovative solutions to achieve sustainable ruminant production within the ‘One Health’ framework. Specifically, research and innovation will undoubtedly continue to focus on (1) Genetics and Breeding; (2) Animal nutrition and (3) Animal Health, to achieve food security and human health, whilst limiting environmental impact. Implementation of resultant innovations within the agri-food sector will require several enablers, including large-scale investment, multi-actor partnerships, scaling, regulatory approval and importantly social acceptability. This review outlines the grand challenges of achieving sustainable ruminant production and likely research and innovation landscape over the next 15 years and beyond, specifically outlining the pathways and enablers required to achieve sustainable ruminant production within the One Health framework.

A graph $H$ is said to be common if the number of monochromatic labelled copies of $H$ in a red/blue edge colouring of a large complete graph is asymptotically minimised by a random colouring in which each edge is equally likely to be red or blue. We extend this notion to an off-diagonal setting. That is, we define a pair $(H_1,H_2)$ of graphs to be $(p,1-p)$-common if a particular linear combination of the density of $H_1$ in red and $H_2$ in blue is asymptotically minimised by a random colouring in which each edge is coloured red with probability $p$ and blue with probability $1-p$. Our results include off-diagonal extensions of several standard theorems on common graphs and novel results for common pairs of graphs with no natural analogue in the classical setting.

Improving neonatal piglet survival is a key driver for improving pig production and enhancing animal welfare. Gestational diabetes is a risk factor for neonatal morbidities in humans, such as hypoglycaemia and respiratory distress(1). There is limited knowledge on the association of gestational diabetes with neonatal survival in commercial pigs. An early study suggested that the diabetic condition of late-gestating sows was positively correlated with the first-week newborn piglet mortality(2). Genetic selection in recent decades for heavier birth weight may have increased the prevalence or severity of gestational diabetes in pigs, considering the positive correlation between gestational diabetes and birth weight. We hypothesised that the diabetic condition of late gestating sows positively correlates with the neonatal piglet mortality rate in sows with modern genetics. Mixed-parity sows (1.5 ± 1.6 parity for mean ± standard deviation (SD); Large White × Landrace) from a commercial piggery in Australia were randomly selected and participated in an oral glucose tolerance test (OGTT) during two seasons (118 sows in winter and 118 sows in summer). On the d109 day of gestation, sows were fed 3.0 g dextrose per kg of metabolic body weight after fasting overnight. Tail blood glucose concentrations were measured using a glucometer (Accu-Chek ®, Roche Diabetes Care Australia Pty) at −10, 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 105, 120 minutes relative to dextrose feeding. The glucose increment (2.5 ± 1.29 mM for mean ± SD) during OGTT was calculated using the maximum concentration substrating the fasting concentration of blood glucose. The 24-hour piglet mortality rate (5% ± 8.8% for mean ± SD) was calculated as the ratio between piglets that died during the first 24 hours and the total number of born alive on a litter basis. The effect of sow glucose increment, season (winter vs summer), glucose increment × season, number of piglets born alive, and sows parity on the 24-h piglet mortality rate as analysed using a Generalised Linear Model (SPSS 27th Version, IBM SPSS Statistics, Armonk). Results showed that the 24-hour piglet mortality rate was numerically higher in winter than in summer although insignificant (5.7% vs 4.2%, p = 0.41). The glucose increment of gestating sows was positively correlated with the 24-hour piglet mortality rate during winter but not summer, as evidenced by an interaction trend between glucose increment and season (p = 0.059). The regression coefficient suggested that every extra unit (mM) of glucose increment during OGTT corresponded to a 1.4% increase in the 24-hour piglet mortality rate in winter. In conclusion, the diabetic condition of late-gestating sows is a risk factor for neonatal piglet mortality in winter. Developing nutritional strategies to mitigate the diabetic condition of late-gestating sows may benefit neonatal piglet survival.

A growing number of Australians are experiencing challenges accessing and affording healthy food due to climate-related disasters, global supply chain disruptions, and rapid inflation that is affecting the cost of healthy food(1). There is limited understanding of how participation community-based food cooperatives can address these challenges and improve food security and dietary intake. This study investigated the motivations for joining and impact of participation in a community-based food cooperative called Box Divvy on self-reported food security status and intake of fruits and vegetables among a sample of Australian adults. A cross-sectional online survey was conducted among Box Divvy members, that measured sociodemographic characteristics, motivations for joining, self-reported fruit and vegetable intake (serves/week), and food insecurity status (USDA 6-item short form(2)) before and while using Box Divvy. Participants were classified as being food secure, or experiencing marginal, moderate, or severe food insecurity. Logistic regression assessed demographic predictors and self-reported change in food security status, and ANOVA examined changes in dietary intake before joining and while using Box Divvy. Of participants (n = 2764, 37% aged 35–44 years, 83% European ethnicity, 92% New South Wales residents), most joined Box Divvy to support local farmers (87.3%), and save money on healthy foods (70.6%). Around half of respondents (50.8%) reported experiencing food insecurity before joining Box Divvy (24.5% marginal, 18.4% moderate, 7.9% severe food insecurity). Univariate logistic regression identified age, household structure, and income as significant predictors of food insecurity (p < 0.001). Participants experiencing food insecurity reported significantly lower consumption of fruits and vegetables prior to joining Box Divvy compared to those who were food secure (p < 0.001). While using Box Divvy, 28.2% of participants reported experiencing food insecurity (16.6% marginal, 9.6% moderate, 2.1% severe food insecurity). The odds of food insecurity while using Box Divvy were 62% lower than before joining (OR: 0.38; 95% CI 0.34–0.43; p < 0.001). On average, participants reported their fruit intake increased by 2.5 ± 5.6 serves/week (p < 0.001), and vegetable intake increased by 3.3 ± 5.7 serves/week (p < 0.001). The mean increase was significantly greater among moderately food insecure (fruit mean difference 3.2 ± 6.5 serves/week; vegetable mean difference 3.9 ± 6.9 serves/week) and severely food insecure groups (fruit mean difference 4.4 ± 6.9 serves/week; vegetable mean difference 5.5 ± 7.7 serves/week; p < 0.001). Participation in Box Divvy significantly improved self-reported food security status and fruit and vegetable intake among a large sample of Australian adults. Notably, fruit and vegetable intake significantly increased among those experiencing moderate and severe food insecurity. This underscores the potential of community-based food cooperatives to improve food security and promote healthier eating habits among Australian adults, especially households experiencing food insecurity.

The need to address and reverse global biodiversity decline is imperative across all of society including the practices of mine closure planning. Nature Positive is the latest global biodiversity-focused initiative which calls for at least 30% of biodiversity to be enhanced through effective restoration relative to the 2020 baseline. This paper conceptualizes and explains what is necessary in mine closure planning and implementation to meaningfully contribute to this and other nature-positive goals, with some illustrative examples. Issues considered include application of the mitigation hierarchy, rehabilitation in mining and the time lag challenge for restoring biodiversity, biodiversity offsetting, conserving nature while meeting social needs, consideration of the indirect and induced impacts of mining, managing tradeoffs in decision-making processes and ensuring that nature positive benefits are long-lasting. The implications for mine closure planning are identified for each of these considerations. The paper ends with a conceptual framework that maps the nature positive challenges in relation to mine closure planning undertakings and call for action by practitioners and researchers alike to advance progress and practices.

The effect dietary FODMAPs (fermentable oligo-, di- and mono-saccharides and polyols) in healthy adults is poorly documented. This study compared specific effects of low and moderate FODMAP intake (relative to typical intake) on the faecal microbiome, participant-reported outcomes and gastrointestinal physiology. In a single-blind cross-over study, 25 healthy participants were randomised to one of two provided diets, ‘low’ (LFD) <4 g/d or ‘moderate’ (MFD) 14-18 g/d, for 3 weeks each, with ≥2-week washout between. Endpoints were assessed in the last week of each diet. The faecal bacterial/archaeal and fungal communities were characterised in 18 participants in whom high quality DNA was extracted by 16S rRNA and ITS2 profiling, and by metagenomic sequencing. There were no differences in gastrointestinal or behavioural symptoms (fatigue, depression, anxiety), or in faecal characteristics and biochemistry (including short-chain fatty acids). Mean colonic transit time (telemetry) was 23 (95% confidence interval: 15, 30) h with the MFD compared with 34 (24, 44) h with LFD (n=12; p=0.009). Fungal diversity (richness) increased in response to MFD, but bacterial richness was reduced, coincident with expansion of the relative abundances of Bifidobacterium, Anaerostipes, and Eubacterium. Metagenomic analysis showed expansion of polyol-utilising Bifidobacteria, and Anaerostipes with MFD. In conclusion, short-term alterations of FODMAP intake are not associated with symptomatic, stool or behavioural manifestations in healthy adults, but remarkable shifts within the bacterial and mycobiome populations were observed. These findings emphasise the need to quantitatively assess all microbial Domains and their interrelationships to improve understanding of consequences of diet on gut function.

Objectives/Goals: The impact of the program on alumni students was measured in a 2023 survey, which assessed key factors and student perspectives on motivation to apply/remain in the program, their engagement activities, how they used the skills acquired in RAP upon graduating, and if they were currently serving in a health profession and/or clinical research. Methods/Study Population: Survey questions were based upon specific components of CTSI-RAP that make it unique. Covered topics related to motivation for participation, meaningful experiences, program effectiveness, future use of RAP knowledge/training, and current career roles in the health professions and/or clinical research. The survey was built and analyzed in REDCap and deployed May–July 2023. The study received exempt certification from the IRB. The survey was sent to 123 alumni from the 2013 to 2021 cohorts. Bounced e-mails were followed up on and two reminder e-mails were sent to initial non-responders. Identifiable demographic information was separated from program evaluation questions for analysis. A subanalysis was performed to determine program impact on students who identified as underserved or disadvantaged. Results/Anticipated Results: Respondents included 82/123 (66.7%) alumni. The survey took approximately 15 minutes. Most of the students 64/82 (78.0%) had 1 year or less research experience. The top three motivating factors for joining the RAP program were gaining clinical research experience, exposure to healthcare settings, and interest in pursuing a healthcare related career. Most alumni rated the overall effectiveness of the RAP program as very or somewhat valuable and the majority felt that the program ranked high or very high among their undergraduate experiences. The program was very influential or influential in defining their long-term plans and goals. Just under half felt that their career aspirations were changed or influenced by the program, which was especially true for those who identified as underserved/disadvantaged. Discussion/Significance of Impact: CTSI-RAP alumni highly value their experience in the program. They have benefitted professionally and are motivated to keep their connection to the program alive. With a decade of clinical research excellence and programming, CTSI-RAP’s impact is well established as a proven model benefiting both students and the clinical research infrastructure.

Objectives/Goals: To assess the impact of UCLA’s Clinical and Translational Science Institute Research Associates Program (CTSI-RAP), a student-led undergraduate clinical research initiative, on current members’ career interests and development. Methods/Study Population: To evaluate CTSI-RAP’s impact, we surveyed students using the REDCap platform between May and June 2023. The survey captured data on demographics, academic background, motivations for joining, and engagement in clinical research activities. Students also provided self-assessments of how the program influenced their career interests. Both descriptive and qualitative analyses were then used to assess key factors influencing students’ experiences, including the program’s impact on career decisions in healthcare and clinical research. Results/Anticipated Results: Out of 43 students surveyed, 40 responded (93%). Before entering, 84.2% of students had less than one year of research experience, and most students (73.6%) did not have family members in healthcare or research professions. Top reasons for joining were gaining clinical research exposure, healthcare setting experience, and pursuing healthcare careers. Overall, 97% of students stated CTSI-RAP “definitely” or “most probably” confirmed their interest in medicine and 76% of students reported CTSI-RAP has “definitely” or “most probably” solidified their interest in clinical research. 100% of students who have applied for a job, professional school, scholarship, or internship included CTSI-RAP as a meaningful experience, reflecting the program’s mission to provide motivations for a career in medicine and science. Discussion/Significance of Impact: Since its establishment in 2013, CTSI-RAP has expanded from 15 students to more than 50 annually, providing hands-on clinical research and professional development opportunities. The program’s peer-mentorship and student-led approach have proven effective in preparing students for diverse healthcare and research pathways.

Pain is a highly salient and attention-demanding experience that motivates people to act. We investigated the effect of pain on decision making by delivering acute thermal pain to participants’ forearm while they made risky and intertemporal choices involving money. Participants (n = 107) were more risk seeking under pain than in a no-pain control condition when decisions involved gains but not when they involved equivalent losses. Pain also resulted in greater preference for immediate (smaller) over future (larger) monetary rewards. We interpret these results as a motivation to offset the aversive, pain-induced state, where monetary rewards become more appealing under pain than under no pain and when delivered sooner rather than later. Our findings add to the long-standing debate regarding the role of intuition and reflection in decision making.

A simple stochastic model is formulated in order to determine the optimal time between the first test and the second test when the test-retest method of assessing reliability is used. A forgetting process and a change in true score process are postulated. The optimal time between tests is derived by maximizing the probability that the respondent has not remembered the response on the first test and has not had a change in true score. The resulting test-retest correlation is then found to be a linear function of the true reliability of the test, where the slope of this function is the key probability of not remembering and having no change in true score. Some numerical examples and suggestions for using the results in empirical studies are given. Specific recommendations are presented for improved design and analysis of intentions data.

This compact book offers a closely researched account of the early years of the Qajar dynasty and state, whose political development was permanently marked by the territorial struggle with the Russian Empire in the South Caucasus in its first three decades. Behrooz's work builds on Muriel Atkin's classic Russia and Iran 1780–1928 (1980), and although unlike Atkin he does not make use of any sources in Russian, the range of Persian-language material he draws upon is much greater, and the two books complement each other well. The first two chapters effectively set the political scene, providing a review of the circumstances of Aqa Muhammad Khan's rise to power, his struggle with the Zand rulers of Shiraz, and the extensive preparations he made to secure the succession of his nephew, Baba Khan Jahanbani, the future Fath Ali Shah. These bore fruit when Aqa Muhammad Shah was murdered by his own servants in Shusha in 1797. Significantly, this took place during a campaign to subdue Qarabagh. The central figure of the book, and of the wars against Russia, is Fath Ali's son Abbas Mirza, but a particular strength of Behrooz's account is his close understanding of the family and intertribal relationships among the Qajar elite, as well as of the petty dynasties that ruled in Qarabagh, Iravan, Badkubeh (Baku), and Derbent in this period.

Forty-two choice models, each representing stimuli by one-dimensional probability distributions, are obtained by relaxing the assumptions of Thurstone's Case V Law of Comparative Judgment. The models which imply or fail to imply each of nine testable probabilistic conditions are determined. Stochastic transitivity is vulnerable in most of these models. The results suggest discarding weak stochastic transitivity, and in its place using the conjunction of weak stochastic transitivity and the triangular condition. However, unless it is possible to predict which stimuli will produce violations of the conditions, none of the conditions can be rejected on the basis of too frequent intransitive triads of choices.

A modified beta binomial model is presented for use in analyzing ramdom guessing multiple choice tests and certain forms of taste tests. Detection probabilities for each item are distributed beta across the population subjects. Properties for the observable distribution of correct responses are derived. Two concepts of true score estimates are presented. One, analogous to Duncan’s empirical Bayes posterior mean score, is appropriate for assessing the subject’s performance on that particular test. The second is more suitable for predicting outcomes on similar tests.