The complementary feeding period (6-23 months of age) is when solid foods are introduced alongside breastmilk or infant formula and is the most significant dietary change a person will experience. The introduction of complementary foods is important to meet changing nutritional requirements(1). Despite the rising Asian population in New Zealand, and the importance of nutrition during the complementary feeding period, there is currently no research on Asian New Zealand (NZ) infants’ micronutrient intakes from complementary foods. Complementary foods are a more easily modifiable component of the diet than breastmilk or other infant milk intake. This study aimed to compare the dietary intake of micronutrients from complementary foods of Asian infants and non-Asian infants in NZ. This study reported a secondary analysis of the First Foods New Zealand cross-sectional study of infants (aged 7.0-9.9 months) in Dunedin and Auckland. 24-hour recall data were analysed using FoodFiles 10 software with the NZ food composition database FOODfiles 2018, and additional data for commercial complementary foods(2). The multiple source method was used to estimate usual dietary intake. Ethnicity was collected from the main questionnaire of the study, answered by the respondents (the infant’s parent/caregiver). Within the Asian NZ group, three Asian subgroups were identified – South East Asian, East Asian, and South Asian. The non-Asian group included all remaining participants of non-Asian ethnicities. Most nutrient reference values (NRV’s)(3) available for the 7-12 month age group are for total intake from complementary foods and infant milks, so the adequacy for the micronutrient intakes from complementary foods alone could not be determined. Vitamin A was the only micronutrient investigated in this analysis that had an NRV available from complementary foods only, allowing conclusions around adequacy to be made. The Asian NZ group (n = 99) had lower mean group intakes than the non-Asian group (n = 526) for vitamin A (274µg vs. 329µg), and vitamin B12 (0.49µg vs. 0.65µg), and similar intakes for vitamin C (27.8mg vs. 28.5mg), and zinc (1.7mg vs. 1.9mg). Mean group iron intakes were the same for both groups (3.0mg). The AI for vitamin A from complementary foods (244µg) was exceeded by the mean intakes for both groups, suggesting that Vitamin A intakes were adequate. The complementary feeding period is a critical time for obtaining nutrients essential for development and growth. The results from this study indicate that Asian NZ infants have lower intakes of two of the micronutrients of interest than the non-Asian infants in NZ. However, future research is needed with the inclusion of infant milk intake in these groups to understand the total intake of the micronutrients. Vitamin A intakes do appear to be adequate in NZ infants.

The prevalence of food allergies in New Zealand infants is unknown; however, it is thought to be similar to Australia, where the prevalence is over 10% of 1-year-olds(1). Current New Zealand recommendations for reducing the risk of food allergies are to: offer all infants major food allergens (age appropriate texture) at the start of complementary feeding (around 6 months); ensure major allergens are given to all infants before 1 year; once a major allergen is tolerated, maintain tolerance by regularly (approximately twice a week) offering the allergen food; and continue breastfeeding while introducing complementary foods(2). To our knowledge, there is no research investigating whether parents follow these recommendations. Therefore, this study aimed to explore parental offering of major food allergens to infants during complementary feeding and parental-reported food allergies. The cross-sectional study included 625 parent-infant dyads from the multi-centred (Auckland and Dunedin) First Foods New Zealand study. Infants were 7-10 months of age and participants were recruited in 2020-2022. This secondary analysis included the use of a study questionnaire and 24-hour diet recall data. The questionnaire included determining whether the infant was currently breastfed, whether major food allergens were offered to the infant, whether parents intended to avoid any foods during the first year of life, whether the infant had any known food allergies, and if so, how they were diagnosed. For assessing consumers of major food allergens, 24-hour diet recall data was used (2 days per infant). The questionnaire was used to determine that all major food allergens were offered to 17% of infants aged 9-10 months. On the diet recall days, dairy (94.4%) and wheat (91.2%) were the most common major food allergens consumed. Breastfed infants (n = 414) were more likely to consume sesame than non-breastfed infants (n = 211) (48.8% vs 33.7%, p≤0.001). Overall, 12.6% of infants had a parental-reported food allergy, with egg allergy being the most common (45.6% of the parents who reported a food allergy). A symptomatic response after exposure was the most common diagnostic tool. In conclusion, only 17% of infants were offered all major food allergens by 9-10 months of age. More guidance may be required to ensure current recommendations are followed and that all major food allergens are introduced by 1 year of age. These results provide critical insight into parents’ current practices, which is essential in determining whether more targeted advice regarding allergy prevention and diagnosis is required.

Although food insecurity affects a significant proportion of young children in New Zealand (NZ)(1), evidence of its association with dietary intake and sociodemographic characteristics in this population is lacking. This study aims to assess the household food security status of young NZ children and its association with energy and nutrient intake and sociodemographic factors. This study included 289 caregiver and child (1-3 years old) dyads from the same household in either Auckland, Wellington, or Dunedin, NZ. Household food security status was determined using a validated and NZ-specific eight-item questionnaire(2). Usual dietary intake was determined from two 24-hour food recalls, using the multiple source method(3). The prevalence of inadequate nutrient intake was assessed using the Estimated Average Requirement (EAR) cut-point method and full probability approach. Sociodemographic factors (i.e., socioeconomic status, ethnicity, caregiver education, employment status, household size and structure) were collected from questionnaires. Linear regression models were used to estimate associations with statistical significance set at p <0.05. Over 30% of participants had experienced food insecurity in the past 12 months. Of all eight indicator statements, “the variety of foods we are able to eat is limited by a lack of money,” had the highest proportion of participants responding “often” or “sometimes” (35.8%). Moderately food insecure children exhibited higher fat and saturated fat intakes, consuming 3.0 (0.2, 5.8) g/day more fat, and 2.0 (0.6, 3.5) g/day more saturated fat compared to food secure children (p<0.05). Severely food insecure children had lower g/kg/day protein intake compared to food secure children (p<0.05). In comparison to food secure children, moderately and severely food insecure children had lower fibre intake, consuming 1.6 (2.8, 0.3) g/day and 2.6 (4.0, 1.2) g/day less fibre, respectively. Severely food insecure children had the highest prevalence of inadequate calcium (7.0%) and vitamin C (9.3%) intakes, compared with food secure children [prevalence of inadequate intakes: calcium (2.3%) and vitamin C (2.8%)]. Household food insecurity was more common in those of Māori or Pacific ethnicity; living in areas of high deprivation; having a caregiver who was younger, not in paid employment, or had low educational attainment; living with ≥2 other children in the household; and living in a sole-parent household. Food insecure young NZ children consume a diet that exhibits lower nutritional quality in certain measures compared to their food-secure counterparts. Food insecurity was associated with various sociodemographic factors that are closely linked with poverty or low income. As such, there is an urgent need for poverty mitigation initiatives to safeguard vulnerable young children from the adverse consequences of food insecurity.

The National Environmental Isotope Facility (NEIF) Radiocarbon Laboratory at the Scottish Universities Environmental Research Centre (SUERC) performs radiocarbon measurement of a wide range of sample matrices for applications in environmental research. Radiocarbon is applied to palaeoenvironmental, palaeoceanographic, and palaeoclimatic investigations, as well as work to understand the source, fate, turnover, and age of carbon in the modern carbon cycle. The NEIF Radiocarbon Laboratory supports users in the development and deployment of novel sampling techniques and laboratory approaches. Here, we give an overview of methods and procedures used by the laboratory to support the field collection, laboratory processing, and measurement of samples. This includes in-house development of novel and/or specialized methods and approaches, such as field collection of CO2 and CH4, hydropyrolysis, and ramped oxidation. The sample types covered include organic remains (e.g., plant material, peat, wood, charcoal, proteins), carbonates (e.g., speleothems, foraminifera, mollusc shell, travertine), waters (dissolved organic and inorganic carbon), gases (CO2 and CH4), soils and sediments (including sub-fractions).

The ability to accurately identify human gait intent is a challenge relevant to the success of many applications in robotics, including, but not limited to, assistive devices. Most existing intent identification approaches, however, are either sensor-specific or use a pattern-recognition approach that requires large amounts of training data. This paper introduces a real-time walking speed intent identification algorithm based on the Mahalanobis distance that requires minimal training data. This data efficiency is enabled by making the simplifying assumption that each time step of walking data is independent of all other time steps. The accuracy of the algorithm was analyzed through human-subject experiments that were conducted using controlled walking speed changes on a treadmill. Experimental results confirm that the model used for intent identification converges quickly (within 5 min of training data). On average, the algorithm successfully detected the change in desired walking speed within one gait cycle and had a maximum of 87% accuracy at responding with the correct intent category of speed up, slow down, or no change. The findings also show that the accuracy of the algorithm improves with the magnitude of the speed change, while speed increases were more easily detected than speed decreases.

We introduce new data resources to enable spatial and nonspatial research on Canadian elections, electoral history and political geography. These include a comprehensive set of distinct identification codes for every federal electoral district in Canada from 1867 to the present, a complete set of digital boundary files for these electoral districts, historical census data aggregated to federal electoral districts, and tools to connect our district identification codes to federal election results. After describing the construction and content of these new resources, we provide an example of their use in a comparative-historical analysis of district compactness in Canada and the United States. We find that, in contrast to the United States, postwar institutional changes to district boundary-drawing processes had little effect on district compactness in Canada.

For a pseudo-Anosov flow $\varphi $ without perfect fits on a closed $3$-manifold, Agol–Guéritaud produce a veering triangulation $\tau $ on the manifold M obtained by deleting the singular orbits of $\varphi $. We show that $\tau $ can be realized in M so that its 2-skeleton is positively transverse to $\varphi $, and that the combinatorially defined flow graph $\Phi $ embedded in M uniformly codes the orbits of $\varphi $ in a precise sense. Together with these facts, we use a modified version of the veering polynomial, previously introduced by the authors, to compute the growth rates of the closed orbits of $\varphi $ after cutting M along certain transverse surfaces, thereby generalizing the work of McMullen in the fibered setting. These results are new even in the case where the transverse surface represents a class in the boundary of a fibered cone of M. Our work can be used to study the flow $\varphi $ on the original closed manifold. Applications include counting growth rates of closed orbits after cutting along closed transverse surfaces, defining a continuous, convex entropy function on the ‘positive’ cone in $H^1$ of the cut-open manifold, and answering a question of Leininger about the closure of the set of all stretch factors arising as monodromies within a single fibered cone of a $3$-manifold. This last application connects to the study of endperiodic automorphisms of infinite-type surfaces and the growth rates of their periodic points.

The Centers for Medicare and Medicaid mandated that nursing homes implement antibiotic stewardship programs (ASPs) by November 2017. We conducted surveys of Wisconsin nursing-home stewardship practices before and after this mandate. Our comparison of these surveys shows an overall increase in ASP implementation efforts, but it also highlights areas for further improvement.

We present an overview of the Middle Ages Galaxy Properties with Integral Field Spectroscopy (MAGPI) survey, a Large Program on the European Southern Observatory Very Large Telescope. MAGPI is designed to study the physical drivers of galaxy transformation at a lookback time of 3–4 Gyr, during which the dynamical, morphological, and chemical properties of galaxies are predicted to evolve significantly. The survey uses new medium-deep adaptive optics aided Multi-Unit Spectroscopic Explorer (MUSE) observations of fields selected from the Galaxy and Mass Assembly (GAMA) survey, providing a wealth of publicly available ancillary multi-wavelength data. With these data, MAGPI will map the kinematic and chemical properties of stars and ionised gas for a sample of 60 massive ( ${>}7 \times 10^{10} {\mathrm{M}}_\odot$ ) central galaxies at $0.25 < z <0.35$ in a representative range of environments (isolated, groups and clusters). The spatial resolution delivered by MUSE with Ground Layer Adaptive Optics ( $0.6-0.8$ arcsec FWHM) will facilitate a direct comparison with Integral Field Spectroscopy surveys of the nearby Universe, such as SAMI and MaNGA, and at higher redshifts using adaptive optics, for example, SINS. In addition to the primary (central) galaxy sample, MAGPI will deliver resolved and unresolved spectra for as many as 150 satellite galaxies at $0.25 < z <0.35$ , as well as hundreds of emission-line sources at $z < 6$ . This paper outlines the science goals, survey design, and observing strategy of MAGPI. We also present a first look at the MAGPI data, and the theoretical framework to which MAGPI data will be compared using the current generation of cosmological hydrodynamical simulations including EAGLE, Magneticum, HORIZON-AGN, and Illustris-TNG. Our results show that cosmological hydrodynamical simulations make discrepant predictions in the spatially resolved properties of galaxies at $z\approx 0.3$ . MAGPI observations will place new constraints and allow for tangible improvements in galaxy formation theory.

The first demonstration of laser action in ruby was made in 1960 by T. H. Maiman of Hughes Research Laboratories, USA. Many laboratories worldwide began the search for lasers using different materials, operating at different wavelengths. In the UK, academia, industry and the central laboratories took up the challenge from the earliest days to develop these systems for a broad range of applications. This historical review looks at the contribution the UK has made to the advancement of the technology, the development of systems and components and their exploitation over the last 60 years.

We study direct numerical simulations of turbulence arising from the interaction of an initial background shear, a linear background stratification and an external body force. In each simulation the turbulence produced is spatially intermittent, with dissipation rates varying over orders of magnitude in the vertical. We focus analysis on the statistically quasi-steady states achieved by applying large-scale body forcing to the domain, and compare flows forced by internal gravity waves with those forced by vertically uniform vortical modes. By considering the turbulent energy budgets for each simulation, we find that the injection of potential energy from the wave forcing permits a reversal in the sign of the mean buoyancy flux. This change in the sign of the buoyancy flux is associated with large, convective density overturnings, which in turn lead to more efficient mixing in the wave-forced simulations. The inhomogeneous dissipation in each simulation allows us to investigate localised correlations between the kinetic and potential energy dissipation rates. These correlations lead us to the conclusion that an appropriate definition of an instantaneous mixing efficiency, $\unicode[STIX]{x1D702}(t):=\unicode[STIX]{x1D712}/(\unicode[STIX]{x1D712}+\unicode[STIX]{x1D700})$ (where $\unicode[STIX]{x1D700}$ and $\unicode[STIX]{x1D712}$ are the volume-averaged turbulent viscous dissipation rate and fluctuation density variance destruction rate respectively) in the wave-forced cases is independent of an appropriately defined local turbulent Froude number, consistent with scalings proposed for low Froude number stratified turbulence.

At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case–control and one nested case–cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination.