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The Hector Galaxy Survey is a new optical integral field spectroscopy (IFS) survey currently using the Anglo-Australian Telescope to observe up to 15 000 galaxies at low redshift ($z \lt 0.1$). The Hector instrument employs 21 optical fibre bundles feeding into two double-beam spectrographs, AAOmega and the new Spector spectrograph, to enable wide-field multi-object IFS observations of galaxies. To efficiently process the survey data, we adopt the data reduction pipeline developed for the SAMI Galaxy Survey, with significant updates to accommodate Hector’s dual-spectrograph system. These enhancements address key differences in spectral resolution and other instrumental characteristics relative to SAMI and are specifically optimised for Hector’s unique configuration. We introduce a two-dimensional arc fitting approach that reduces the root-mean-square (RMS) velocity scatter by a factor of 1.2–3.4 compared to fitting arc lines independently for each fibre. The pipeline also incorporates detailed modelling of chromatic optical distortion in the wide-field corrector, to account for wavelength-dependent spatial shifts across the focal plane. We assess data quality through a series of validation tests, including wavelength solution accuracy (1.2–2.7 km s$^{-1}$ RMS), spectral resolution (FWHM of 1.2–1.4 Å for Spector), throughput characterisation, astrometric precision ($\lesssim$ 0.03 arcsec median offset), sky subtraction residuals (1–1.6% median continuum residual), and flux calibration stability (4% systematic offset when compared to Legacy Survey fluxes). We demonstrate that Hector delivers high-fidelity, science-ready datasets, supporting robust measurements of galaxy kinematics, stellar populations, and emission-line properties and provide examples. Additionally, we address systematic uncertainties identified during the data processing and propose future improvements to enhance the precision and reliability of upcoming data releases. This work establishes a robust data reduction framework for Hector, delivering high-quality data products that support a broad range of extragalactic studies.
Paleontology provides insights into the history of the planet, from the origins of life billions of years ago to the biotic changes of the Recent. The scope of paleontological research is as vast as it is varied, and the field is constantly evolving. In an effort to identify “Big Questions” in paleontology, experts from around the world came together to build a list of priority questions the field can address in the years ahead. The 89 questions presented herein (grouped within 11 themes) represent contributions from nearly 200 international scientists. These questions touch on common themes including biodiversity drivers and patterns, integrating data types across spatiotemporal scales, applying paleontological data to contemporary biodiversity and climate issues, and effectively utilizing innovative methods and technology for new paleontological insights. In addition to these theoretical questions, discussions touch upon structural concerns within the field, advocating for an increased valuation of specimen-based research, protection of natural heritage sites, and the importance of collections infrastructure, along with a stronger emphasis on human diversity, equity, and inclusion. These questions offer a starting point—an initial nucleus of consensus that paleontologists can expand on—for engaging in discussions, securing funding, advocating for museums, and fostering continued growth in shared research directions.
This article examines how Native Nations and institutions have been affected by a new directive in the revised NAGPRA regulations, the duty of care provision (43 CFR 10.1(d)), with a focus on the care of Indigenous Ancestral remains and cultural items. The Native Nation’s perspective is provided by the Osage Nation and the Eastern Band of Cherokee Indians. The South Carolina Institute of Archaeology and Anthropology; the University of Tennessee, Knoxville; the Illinois State Museum; and Indiana University share their viewpoints as institutions that house Indigenous Ancestral remains, cultural items, and archaeological collections and describe the initial impacts of the revised legislation on their programs. There are several key takeaways of its initial effects, including (1) an increased burden to Native Nations, given the substantial uptick in requests for consultation linked to new requirements for consent and the revised definitions of cultural items and research (although the end result of more consultations leading to repatriations is desired), (2) a disconnect between Native Nations and institutions regarding cultural item identification, (3) a strengthening of existing NAGPRA-related institutional policies and procedures, and (4) an emphasis on the importance of consultation between institutions and Native Nations to facilitate repatriation.
One of the fundamental challenges for the UN plastics treaty is to shift the current linear plastic economy into a more circular plastic economy. Transitioning to a circular plastic economy requires a profound transformation of socio-technical systems, and research suggests that disruptive policies must simultaneously destabilize the entrenched linear system and cultivate a new regime that supports circular business models. A major barrier to this transformation lies in the artificially low cost of primary plastics, maintained by substantial subsidies for fossil fuels and plastic production. These subsidies, alongside the failure to internalize negative externalities – such as extensive health impacts and environmental damage – mask the true cost of plastic use, thereby undermining the economic case for innovation in sustainable alternatives. The upcoming UN plastics treaty presents a unique opportunity to realign market incentives and drive the necessary transition toward a circular, regenerative plastic economy.
Due to historical under-recognition of attention-deficit hyperactivity disorder (ADHD) among girls and women, little is known about female-specific factors that may affect individuals with ADHD, including those related to changes in ovarian hormones (e.g. across the menstrual cycle).
Aims
We investigated whether females with a self-reported clinical diagnosis of ADHD are more likely to experience premenstrual dysphoric disorder (PMDD). We also examined associations between PMDD and ADHD defined by a symptom and impairment threshold.
Method
Participants were aged between 18 and 34 years, were assigned female at birth and were recruited via Prolific.com (n = 715). Participants self-reported clinician diagnosis of ADHD, depression and anxiety. ADHD symptoms were assessed via the Adult ADHD Self-Report Scale (ASRS), to which we applied a DSM-5-based symptom and impairment cut-off (‘ASRS-based ADHD’). PMDD symptoms were assessed via the Premenstrual Symptoms Screening Tool (PSST), which identifies provisional PMDD. Using Poisson regression models, we compared risk for provisional PMDD among females with ADHD (self-reported clinical diagnosis [n = 102] or ASRS-based [n = 229]) with a non-ADHD reference group (n = 305). We additionally compared risk for provisional PMDD among individuals with ADHD and depression/anxiety diagnoses, ADHD only and a non-ADHD reference group.
Results
The prevalence of provisional PMDD was elevated among individuals with a self-reported clinical ADHD diagnosis (31.4%), and among participants with ASRS-based ADHD (41.1%), compared with the non-ADHD reference group (9.8%). Individuals with ASRS-based ADHD and depression and/or anxiety diagnoses were at highest risk for provisional PMDD (relative risk 4.53 [3.10, 6.61]) compared with the non-ADHD reference group.
Conclusions
Clinicians should be aware that individuals with a diagnosis of ADHD, or with high ADHD symptom levels, and who have a menstrual cycle may be more likely to experience PMDD. Future research should investigate the underlying mechanisms that link ADHD and disorders associated with hormonal sensitivity, such as PMDD.
Post-traumatic stress disorder (PTSD) and hypertension are highly prevalent among Veterans. Cognitive dispersion, indicating within-person variability across neuropsychological measures at one time point, is associated with increased risk of dementia. We examined interactive effects of PTSD symptom severity and hypertension on cognitive dispersion among older Veterans.
Methods:
We included 128 Vietnam-era Veterans from the Department of Defense-Alzheimer’s Disease Neuroimaging Initiative (DoD-ADNI) with a history of PTSD. Regression models examined interactions between PTSD symptom severity and hypertension on cognitive dispersion (defined as the intraindividual standard deviation across eight cognitive measures) adjusting for demographics and comorbid vascular risk factors.
Results:
There was an interaction between PTSD symptom severity and hypertension on cognitive dispersion (p = .026) but not on mean cognitive performance (p = .543). Greater PTSD symptom severity was associated with higher cognitive dispersion among those with hypertension (p = .002), but not among those without hypertension (p = .531). Results remained similar after adjusting for mean cognitive performance.
Conclusions:
Findings suggest, among older Veterans with PTSD, those with both hypertension and more severe PTSD symptoms may be at greater risk for cognitive difficulties. Further, cognitive dispersion may be a useful marker of subtle cognitive difficulties. Future research should examine these associations longitudinally and in a diverse sample.
OBJECTIVES/GOALS: Serious video games are designed for skill-building and are increasingly being used for healthcare interventions with adolescents and young adults (AYAs). The study goal was to identify AYAs’ preferred game features, by demographic groups, to inform the development of a game to improve AYA’s engagement in their congenital heart disease (CHD) care. METHODS/STUDY POPULATION: Pediatric patients, 12-18 years old, completed surveys at a routine CHD care visit. Participants rated their likelihood of using games to learn CHD management skills (5-point Likert) and preferences for ten game features commonly used, such as: personalization (make your own avatar) and levels (unlock new, advanced stages as you do better). Participants selected one of three response options: 1=would make me less interested in the game, 2=doesn’t matter, 3=would make me more interested in the game. Descriptives and frequencies assessed interest in different game features. Chi-square tests were used to identify potential differences in game feature preferences by gender identity, age group (early/mid-adolescence vs. late adolescence), and race and ethnicity. RESULTS/ANTICIPATED RESULTS: Of 83 participants who completed surveys, the mean age was 15 years old (12-18; SD=1.73), 55% were male, 79% were Non-Hispanic White, and 70% were interested in video games for gaining CHD management skills. The top-rated game features were: levels (78%; unlock advanced stages), conflict (74%; face challenges), personalization (70%; create avatar), and story (70%; journey-based). The three lowest-ranked features were: time (29%; restricted time to complete challenge), competition (47%; score/play against others), strategy (53%; plan to reach goal). No significant differences in game feature preferences were found by demographic characteristics. DISCUSSION/SIGNIFICANCE: Most AYAs with CHD were interested in games, offering a promising avenue for future healthcare interventions. Given no significantly different preferences by demographics, the game may not require tailoring game features for certain groups. However, additional research with diverse participants is needed to fully inform game development.
We tested 85 isolates of β-hemolytic Streptococcus spp. against trimethoprim/sulfamethoxazole (TMP/SMX), clindamycin, and doxycycline by broth microdilution (BMD) and BD Phoenix. Susceptibility rates via BMD for TMP/SMX, clindamycin, and doxycycline were 100%, 85.5%, and 56.6%, respectively. TMP/SMX is a potential monotherapy agent for β-hemolytic Streptococcus skin and soft tissue infections.
Dissolved inorganic carbon (DIC) in ocean water is a major sink of fossil fuel derived CO2. Carbon isotopes in DIC serve as tracers for oceanic water masses, biogeochemical processes, and air-sea gas exchange. We present a timeseries of surface DIC δ13C and Δ14C values from 2011 to 2022 from Newport Beach, California. This is a continuation of previous timeseries (Hinger et al. 2010; Santos et al. 2011) that together provide an 18-year record. These data show that DIC Δ14C values have declined by 42‰ and that DIC δ13C values have declined by 0.4‰ since 2004. By 2020, DIC Δ14C values were within analytical error of nearby clean atmospheric CO2 Δ14C values. These long-term trends are likely the result of significant fossil fuel derived CO2 in surface DIC from air-sea gas exchange. Seasonally, Δ14C values varied by 3.4‰ between 2011 and 2022, where seasonal δ13C values varied by 0.7‰. The seasonal variation in Δ14C values is likely driven by variations in upwelling, surface eddies, and mixed layer depth. The variation in δ13C values appears to be driven by isotopic fractionation from marine primary producers. The DIC δ13C and Δ14C values record the influence of the drought that began in 2012, and a major upwelling event in 2016.
Patient and public involvement (PPI) must be more frequently embedded within clinical research to ensure translational outcomes are patient-led and meet patient needs. Active partnerships with patients and public groups are an important opportunity to hear patient voices, understand patient needs, and inform future research avenues. A hereditary renal cancer (HRC) PPI group was developed with the efforts of patient participants (n = 9), pooled from recruits within the early detection for HRC pilot study, working in collaboration with researchers and healthcare professionals (n = 8). Patient participants had HRC conditions including Von Hippel–Lindau (n = 3) and Hereditary Leiomyomatosis and Renal Cell Carcinoma (n = 5), and public participants included two patient Trustees (n = 2) from VHL UK & Ireland Charity. Discussions among the enthusiastic participants guided the development of a novel patient information sheet for HRC patients. This communication tool was designed to aid patients when informing family members about their diagnoses and the wider implications for relatives, a gap identified by participants within group discussions. While this partnership was tailored for a specific HRC patient and public group, the process implemented can be employed for other hereditary cancer groups and could be transferable within other healthcare settings.
We aimed to understand which non-household activities increased infection odds and contributed greatest to SARS-CoV-2 infections following the lifting of public health restrictions in England and Wales.
Procedures
We undertook multivariable logistic regressions assessing the contribution to infections of activities reported by adult Virus Watch Community Cohort Study participants. We calculated adjusted weighted population attributable fractions (aPAF) estimating which activity contributed greatest to infections.
Findings
Among 11 413 participants (493 infections), infection was associated with: leaving home for work (aOR 1.35 (1.11–1.64), aPAF 17%), public transport (aOR 1.27 (1.04–1.57), aPAF 12%), shopping once (aOR 1.83 (1.36–2.45)) vs. more than three times a week, indoor leisure (aOR 1.24 (1.02–1.51), aPAF 10%) and indoor hospitality (aOR 1.21 (0.98–1.48), aPAF 7%). We found no association for outdoor hospitality (1.14 (0.94–1.39), aPAF 5%) or outdoor leisure (1.14 (0.82–1.59), aPAF 1%).
Conclusion
Essential activities (work and public transport) carried the greatest risk and were the dominant contributors to infections. Non-essential indoor activities (hospitality and leisure) increased risk but contributed less. Outdoor activities carried no statistical risk and contributed to fewer infections. As countries aim to ‘live with COVID’, mitigating transmission in essential and indoor venues becomes increasingly relevant.
While prior literature has largely focused on marriage effects during young adulthood, it is less clear whether these effects are as strong in middle adulthood. Thus, we investigated age differences in marriage effects on problem-drinking reduction. We employed parallel analyses with two independent samples (analytic-sample Ns of 577 and 441, respectively). Both are high-risk samples by design, with about 50% of participants having a parent with lifetime alcohol use disorder. Both samples have been assessed longitudinally from early young adulthood to the mid-to-late 30s. Separate parallel analyses with these two samples allowed evaluation of the reproducibility of results. Growth models of problem drinking tested marriage as a time-varying predictor and thereby assessed age differences in marriage effects. For both samples, results consistently showed marriage effects to be strongest in early young adulthood and to decrease somewhat monotonically thereafter with age, reaching very small (and nonsignificant) magnitudes by the 30s. Results may reflect that role transitions like marriage have more impact on problem drinking in earlier versus later adulthood, thereby highlighting the importance of life span developmental research for understanding problem-drinking desistance. Our findings can inform intervention strategies aimed at reducing problem drinking by jumpstarting or amplifying natural processes of adult role adaptation.
Wisdom is a personality trait comprising seven components: self-reflection, pro-social behaviors, emotional regulation, acceptance of diverse perspectives, decisiveness, social advising, and spirituality. Wisdom, a potentially modifiable trait, is strongly associated with well-being. We have published a validated 28-item San Diego Wisdom Scale, the SD-WISE-28. Brief scales are necessary for use in large population-based studies and in clinical practice. The present study aimed to create an abbreviated 7-item version of the SD-WISE.
Method:
Participants included 2093 people, aged 20-82 years, recruited and surveyed through the online crowdsourcing platform Amazon Mechanical Turk. The participants’ mean age was 46 years, with 55% women. Participants completed the SD-WISE-28 as well as validation scales for various positive and negative constructs. Psychometric analyses (factor analysis and item response theory) were used to select one item from each of the seven SD-WISE-28 subscales.
Results:
We selected a combination of items that produced acceptable unidimensional model fit and good reliability (ω = 0.74). Item statistics suggested that all seven items were strong indicators of wisdom, although the association was weakest for spirituality. Analyses indicated that the 28-item and 7-item SD-WISE are both very highly correlated (r = 0.92) and produce a nearly identical pattern of correlations with demographic and validity variables.
Conclusion:
The SD-WISE-7, and its derived Jeste-Thomas Wisdom Index (JTWI) score, balances reliability and brevity for research applications.
Legume green manures (GM) are a vital source of nitrogen (N) for many organic grain systems. A common practice among organic growers is to undersow clover into a small grain, harvest the grain crop and terminate the clover stand in late fall by moldboard plowing in preparation for a cash crop the following spring. While fall plowing offers excellent clover kill, growers increasingly seek an alternative termination method that reduces tillage intensity and bare winter soil. This study, performed at two sites in Maine, evaluates three clover termination methods for kill efficacy, winter soil cover, spring soil conditions and N uptake and grain yield and protein of a subsequent test crop of hard red spring wheat (Triticum aestivum L., var. Glenn). Red clover (Trifolium pratense L.) was intercropped with spring barley (Hordeum vulgare L.) and terminated in late fall by moldboard plowing (PL), skim plowing (SK) or undercutting (UC). A control treatment received no clover and was fall plowed. An additional treatment, winterkilled field peas (WK), was evaluated at one site. SK, UC and WK increased soil cover relative to PL, though UC resulted in low clover kill efficacy in a wet spring and is in need of improved design. Grain yield was higher following red clover compared to the no-clover control at one site, but was unaffected by termination method. At one site, grain crude protein was higher following PL than the other treatments, indicating the possibility for more favorable timing of N availability associated with PL.
UK universities re-opened in September 2020, amidst the coronavirus epidemic. During the first term, various national social distancing measures were introduced, including banning groups of >6 people and the second lockdown in November; however, outbreaks among university students occurred. We aimed to measure the University of Bristol staff and student contact patterns via an online, longitudinal survey capturing self-reported contacts on the previous day. We investigated the change in contacts associated with COVID-19 guidance periods: post-first lockdown (23/06/2020–03/07/2020), relaxed guidance period (04/07/2020–13/09/2020), ‘rule-of-six’ period (14/09/2020–04/11/2020) and the second lockdown (05/11/2020–25/11/2020). In total, 722 staff (4199 responses) and 738 students (1906 responses) were included in the study. For staff, daily contacts were higher in the relaxed guidance and ‘rule-of-six’ periods than the post-first lockdown and second lockdown. Mean student contacts dropped between the ‘rule-of-six’ and second lockdown periods. For both staff and students, the proportion meeting with groups larger than six dropped between the ‘rule-of-six’ period and the second lockdown period, although was higher for students than for staff. Our results suggest university staff and students responded to national guidance by altering their social contacts. Most contacts during the second lockdown were household contacts. The response in staff and students was similar, suggesting that students can adhere to social distancing guidance while at university. The number of contacts recorded for both staff and students were much lower than those recorded by previous surveys in the UK conducted before the COVID-19 pandemic.
Under stress, corals and foraminifera may eject or consume their algal symbionts (“bleach”), which can increase mortality. How bleaching relates to species viability over warming events is of great interest given current global warming. We use size-specific isotope analyses and abundance counts to examine photosymbiosis and population dynamics of planktonic foraminifera across the Paleocene–Eocene thermal maximum (PETM, ~56 Ma), the most severe Cenozoic global warming event. We find variable responses of photosymbiotic associations across localities and species. In the NE Atlantic (DSDP Site 401) PETM, photosymbiotic clades (acarininids and morozovellids) exhibit collapsed size-δ13C gradients indicative of reduced photosymbiosis, as also observed in Central Pacific (ODP Site 1209) and Southern Ocean (ODP Site 690) acarininids. In contrast, we find no significant loss of size-δ13C gradients on the New Jersey shelf (Millville) or in Central Pacific morozovellids. Unlike modern bleaching-induced mass mortality, populations of photosymbiont-bearing planktonic foraminifera increased in relative abundance during the PETM. Multigenerational adaptive responses, including flexibility in photosymbiont associations and excursion taxon evolution, may have allowed some photosymbiotic foraminifera to thrive. We conclude that deconvolving the effects of biology on isotope composition on a site-by-site basis is vital for environmental reconstructions.
To examine how milk consumption varies by milk choice and measure the association of milk choice on the nutritional and energetic content of National School Lunch Program (NSLP) lunches.
Design:
An observational plate waste study using the Digital Photography of Foods Method.
Setting:
Data were collected from two suburban South Carolina schools in one district during February and March 2013.
Participants:
Totally, 968 NSLP lunches selected by 619 kindergarten to fifth grade students.
Results:
Most students chose chocolate milk (75 %). A multinomial logit model indicated milk choice varied significantly by sociodemographic characteristics. An ordinary least square regression indicated that consumption rates of low-fat white milk were 8·5 % lower than fat-free chocolate milk (P = 0·039) and milk consumption rates varied statistically by sociodemographic characteristics. Ordinary least square regressions found that the consumption of energies and nutrients from NSLP lunches varied with sociodemographic characteristics and milk choice; students selecting chocolate milk consumed 58 more energies (P < 0·001) and 10 more grams of total sugar (P < 0·001) than students selecting low-fat white milk from their NSLP lunches. Students consumed statistically similar energies and nutrients from the non-milk components of their meals.
Conclusions:
Students selecting chocolate milk consumed more energies and nutrients from their NSLP lunches with the increases in consumption attributed to the milk component of the meal. The findings have implications for recent changes to NSLP guidelines that allow schools to offer both low-fat and fat-free flavoured milk, reversing the previous ban on low-fat flavoured milk under the Healthy, Hunger-Free Kids Act.
How oxygen levels in Earth's atmosphere and oceans evolved has always been a central question in Earth System Science. Researchers have developed numerous tracers to tackle this question, utilizing geochemical characteristics of different elements. Iodine incorporated in calcium carbonate (including biogenic) minerals, reported as I/Ca, is a proxy for dissolved oxygen in seawater. Here we review the rationale behind this proxy, its recent applications and some potential future research directions.