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Abstract Background Most adults fail to meet the moderate to vigorous physical activity-based recommendations needed to maintain or improve health. Vigorous Intermittent Lifestyle Physical Activity (VILPA) refers to short (1–2 min) high-intensity activities that are integrated into activities of daily living. VILPA has shown strong potential to improve health and addresses commonly reported barriers to physical activity. However, it is unknown how VILPA can best be promoted among the adult population. This study aimed to evaluate the usability, user engagement, and satisfaction of a mobile application (MovSnax) designed to promote VILPA. Methods A concurrent mixed methods design was used. It comprised four parts. Part A was a survey with n = 8 mHealth and physical activity experts who had used the app over 7–10 days. Part B was think-aloud interviews with n = 5 end-users aged 40–65 years old. Part C was a survey with a new group of 40-65-year-old end-users (n = 35) who had used the MovSnax app over 7–10 days. Part D was semi-structured interviews with n = 18 participants who took part in Part C. Directed content analysis was used to analyze the results from Parts A, B, and D, and descriptive statistics were used to analyze findings from Part C. Results Participants reported positive views on the MovSnax app for promoting VILPA but also identified usability issues such as unclear purpose, difficulties in manual data entry, and limited customization options. Across the different data collections, they consistently emphasized the need for more motivational features, clearer feedback, and gamification elements to enhance engagement. Quantitative assessment showed satisfactory scores on objective measures but lower ratings on subjective aspects, possibly due to unfamiliarity with the VILPA concept and/or technical barriers. Conclusions The MovSnax app, tested in the present study, is the world’s first digital tool aimed specifically at increasing VILPA. The findings of the present study underscore the need for further app refinement, focusing on clarifying its purpose and instructions, boosting user engagement through personalization and added motivational elements, enhancing accuracy in detecting VILPA bouts, implementing clearer feedback mechanisms, expanding customization choices (such as font size and comparative data), and ensuring transparent and meaningful activity tracking.

Societal Impact Statement The world is increasingly looking to plant‐based sources to meet its protein needs. Multiple factors are driving this progression, ranging from nutritional and ethical considerations to climate change and population growth. As a pulse crop, lentil is ideal to help meet this change in demand. However, plant‐based proteins have limiting amino acids and lower protein digestibility compared to animal‐based proteins. This research identifies genetic markers that can be used to accelerate breeding of protein quality traits in lentil to ultimately help meet the rising demand in high‐quality plant‐based protein and bolster global food and nutritional security. Summary Lentil (Lens culinaris Medik.) contains ~25% high‐quality protein in addition to high concentrations of prebiotic carbohydrates and micronutrients, such as folate, iron, zinc, and selenium. As animal‐based protein's economic and environmental costs rise, plant‐based protein sources, such as lentil, will become increasingly important to global food systems. Consequently, evaluating and targeting protein quality traits for genomic‐assisted breeding is a valuable objective for lentil breeding programs. A diversity panel of 183 breeding lines was analyzed for protein quality traits, including amino acids and protein digestibility. Genotyping‐by‐sequencing (GBS) data were used to assess population structure and conduct genome‐wide association studies (GWAS). Genes in local linkage disequilibrium (LD) with significant single nucleotide polymorphism (SNP) markers were identified and categorized by homology. Protein quality traits showed a wide range of variation. Repeatability estimates were low to moderate across traits. Twelve traits were strongly correlated with each other (r > .7). Admixture analysis identified six ancestral subpopulations, which also demonstrated clustering in principal component analysis. Ten different traits had significant SNP associations; two loci were shared across multiple traits. Twenty‐seven candidate genes, including glutathione S‐transferase, protease family, and gibberellin 2‐beta‐dioxygenase genes, were identified. This paper identifies SNP markers associated with lentil protein quality traits. Once validated, these SNPs could accelerate lentil protein quality breeding efforts. By targeting lentil's limiting amino acids (methionine and cysteine) and protein digestibility through marker‐assisted selection, the nutritional value of lentil's protein content could be increased without the need to alter total protein content.

The transition towards clean electricity is central to global decarbonisation. Countless metrics are used to assess national electricity transition efforts, which hinders understanding and comparison between nations or political party pledges. This study instead proposes three simple metrics: clean generation share, gross, and net carbon emissions intensity. It uses them to provide the first evaluation of the 2024 Clean Energy Mission (CEM) proposed by the UK's newly-elected Labour Government, which has strengthened ambition for wind and solar power capacity. We compare the CEM to previous political pledges, finding it could reduce national electricity generation emissions by 17 MtCO2 in 2030, equivalent to a two percentage point increase in the UK's 2030 Nationally Determined Contribution (NDC). We also use these metrics to compare past efforts and future pledges across the G7 countries, finding that the CEM progresses the UK from having the lowest share of clean electricity in 2010 to the highest by 2030. The UK must increase its pace of clean electricity uptake and decarbonisation by a factor of 1.5–2 to meet its 2030 targets; compared to a factor 4–6 acceleration required by Germany and the US. The paper provides an innovative, simple and replicable framework for assessing the impact of political pledges or national targets for the power sector, and for comparing efforts to decarbonise electricity between countries and over time.

Power sector and energy systems models are widely used to explore the impacts of demographic, socio-economic or policy changes on the cost and emissions of electricity generation. Technology cost and performance data are essential inputs to such models. Despite the ubiquity and importance of these parameters, there is no standardised database which collates the variety of values from across the literature, so modellers must collect them independently each time they populate or update model inputs, leading to duplicated efforts and inconsistencies which can profoundly influence model results. Technology cost and performance varies between countries, regions and over time, meaning that data must be country- or region-specific and frequently updated. Values also vary widely between sources, so obtaining a broad consensus view is critical. Here, we present a database which collates historical, current, and future cost and performance data and assumptions for the six most prominent electricity generation technologies; coal, gas, hydroelectric, nuclear, solar photovoltaic (PV) and wind power, which together accounted for over 92 % of installed generation capacity in 2022. In addition, we provide the same data for utility-scale battery energy storage systems (BESS), regarded as critical to the integration of variable renewables such as wind and solar PV. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 5518 datapoints from 56 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability in future.

Abstract Chickpea is a nutritionally dense pulse crop with high levels of protein, carbohydrates, micronutrients and low levels of fats. Chickpea fatty acids are associated with a reduced risk of obesity, blood cholesterol, and cardiovascular diseases in humans. We measured four primary chickpea fatty acids; palmitic acid (PA), linoleic acid (LA), alpha-linolenic acid (ALA), and oleic acid (OA), which are crucial for human health and plant stress responses in a chickpea diversity panel with 256 accessions (Kabuli and desi types). A wide concentration range was found for PA (450.7–912.6 mg/100 g), LA (1605.7–3459.9 mg/100 g), ALA (416.4–864.5 mg/100 g), and OA (1035.5–1907.2 mg/100 g). The percent recommended daily allowances also varied for PA (3.3–6.8%), LA (21.4–46.1%), ALA (34.7–72%), and OA (4.3–7.9%). Weak correlations were found among fatty acids. Genome-wide association studies (GWAS) were conducted using genotyping-by-sequencing data. Five significant single nucleotide polymorphisms (SNPs) were identified for PA. Admixture population structure analysis revealed seven subpopulations based on ancestral diversity in this panel. This is the first reported study to characterize fatty acid profiles across a chickpea diversity panel and perform GWAS to detect associations between genetic markers and concentrations of selected fatty acids. These findings demonstrate biofortification of chickpea fatty acids is possible using conventional and genomic breeding techniques, to develop superior cultivars with better fatty acid profiles for improved human health and plant stress responses.

Introduction: Better treatments for ovarian cancer are needed to eliminate residual peritoneal disease after initial debulking surgery. The present study evaluated Trastuzumab to deliver Pb-214/Bi-214 for targeted alpha therapy (TAT) for HER2-positive ovarian cancer in mouse models of residual disease. This study is the first report of TAT using a novel Radon-222 generator to produce short-lived Lead-214 (Pb-214, t1/2 = 26.8 min) in equilibrium with its daughter Bismuth-214 (Bi-214, t1/2 = 19.7 min); referred to as Pb-214/Bi-214. In this study, Pb-214/Bi-214-TCMC-Trastuzumab was tested.Methods: Trastuzumab and control IgG antibody were conjugated with TCMC chelator and radiolabeled with Pb-214/Bi-214 to yield Pb-214/Bi-214-TCMC-Trastuzumab and Pb-214/Bi-214-TCMC-IgG1. The decay of Pb-214/Bi-214 yielded α-particles for TAT. SKOV3 and OVAR3 human ovarian cancer cell lines were tested for HER2 levels. The effects of Pb-214/Bi-214-TCMC-Trastuzumab and appropriate controls were compared using clonogenic assays and in mice bearing peritoneal SKOV3 or OVCAR3 tumors. Mice control groups included untreated, Pb-214/Bi-214-TCMC-IgG1, and Trastuzumab only.Results and discussion: SKOV3 cells had 590,000 ± 5,500 HER2 receptors/cell compared with OVCAR3 cells at 7,900 ± 770. In vitro clonogenic assays with SKOV3 cells showed significantly reduced colony formation after Pb-214/Bi-214-TCMC-Trastuzumab treatment compared with controls. Nude mice bearing luciferase-positive SKOV3 or OVCAR3 tumors were treated with Pb-214/Bi-214-TCMC-Trastuzumab or appropriate controls. Two 0.74 MBq doses of Pb-214/Bi-214-TCMC-Trastuzumab significantly suppressed the growth of SKOV3 tumors for 60 days, without toxicity, compared with three control groups (untreated, Pb-214/Bi-214-TCMC-IgG1, or Trastuzumab only). Mice-bearing OVCAR3 tumors had effective therapy without toxicity with two 0.74 MBq doses of Pb-214/Bi-214-TCMC-trastuzumab or Pb-214/Bi-214-TCMC-IgG1. Together, these data indicated that Pb-214/Bi-214 from a Rn-222 generator system was successfully applied for TAT. Pb-214/Bi-214-TCMC-Trastuzumab was effective to treat mouse xenograft models. Advantages of Pb-214/Bi-214 from the novel generator systems include high purity, short half-life for fractioned therapy, and hourly availability from the Rn-222 generator system. This platform technology can be applied for a variety of cancer treatment strategies.

Abstract Pulse crops are a rich source of resistant starch (RS) (5–7 g/100 g), a prebiotic carbohydrate that promotes gut health. The standard method to measure total starch (TS) and RS is through enzymatic assay; however, this is both time consuming and expensive. Fourier‐transform mid‐infrared (FT‐MIR) spectroscopy is a high‐throughput, cost‐effective method to quantify nutritional traits in seeds, but models have not been developed for starch in pulse crops. Therefore, this study aimed to develop and validate an FT‐MIR chemometric technique to estimate TS and RS in dry pea (Pisum sativum L.), chickpea (Cicer arietinum L.), and lentil (Lens culinaris, Medikus) flours to accelerate global pulse breeding efforts, support industrial carbohydrate utilization, and develop healthier food‐feed calorie contents. Breeding lines were selected to capture the diversity of starch concentrations in each crop and were analyzed using an enzymatic assay. Models for each trait–crop combination were calibrated using partial least squares regression, resulting in R2 and root means square error of prediction ranging from 0.91 to 0.96 and 0.16 to 4.0 g/100 g, respectively. These results demonstrate that FT‐MIR spectroscopy is a promising tool for estimating TS and RS concentrations in pulse crops at a reduced analysis time and cost, expediting plant breeding and starch use efforts in the food processing industry.

The sex of an animal impacts glucose sensitivity, but little information is available regarding the mechanisms causing that difference, especially during acute inflammation. We examined sex-specific differences in the role of the P2Y2 receptor (P2Y2R) in glucose flux with and without LPS challenge. Male and female wild-type and P2Y2R knockout mice (P2Y2R-/-) were injected with LPS or saline and glucose tolerance tests (GTT) were performed. P2Y2R, insulin receptor, and GLUT4 transporter gene expression was also evaluated. Female mice had reduced fasting plasma glucose and females had reduced glucose excursion times compared to male mice during GTT. P2Y2R-/- males had significantly decreased glucose flux throughout the GTT as compared to all female mice. Acute inflammation reduced fasting plasma glucose and the GTT area under the curve in both sexes. While both wild-type and P2Y2R-/- male animals displayed reduced fasting glucose in LPS treatment, female mice did not have significant difference in glucose tolerance, suggesting that the effects of P2Y2R are specific to male mice, even under inflammatory conditions. Overall, we conclude that the role for the purinergic receptor, P2Y2R, in regulating glucose metabolism is minimal in females but plays a large role in male mice, particularly in the acute inflammatory state.

Abstract Simulation‐based education is a significant aspect of teaching clinical skills in tertiary medical radiation science programmes, allowing students to experience the clinical setting in a safe environment. As an educational tool, simulation exists in many valid forms including role play, interprofessional simulation and virtual reality simulation. This scoping review looks at the current literature in this field to identify the evidence surrounding simulation‐based education for medical radiation students. The purpose of this review is to provide an evidence‐based guide for educators, identify gaps in the literature and suggest areas of future research. Data extraction was performed on 33 articles where the interventions could be categorised into either role play simulation, virtual simulation, simulation videos or online learning environments. Most studies demonstrated that simulation could improve clinical competence and increase preparedness and confidence for clinical placement. Student satisfaction remained high throughout the studies; however, it is the view of many that although simulation‐based education is a valid and effective tool, it is complementary to and not a replacement for clinical placement.

Dry pea (Pisum sativum L.) is a cool-season food legume rich in protein (20-25%). With increasing health and ecosystem awareness, organic plant-based protein demand has increased; however, the protein quality of organic dry pea has not been well studied. This study determined the genetic variation of individual amino acids (AAs), total AAs (liberated), total protein, and in vitro protein digestibility of commercial dry pea cultivars grown in organic on-farm fields to inform the development of protein-biofortified cultivars. Twenty-five dry pea cultivars were grown in two USDA-certified organic on-farm locations in South Carolina (SC), USA, for two years (two locations in 2019 and one in 2020). The concentrations of most individual AAs (15 of 17) and the total AA concentration significantly varied with dry pea cultivar. In vitro protein digestibility was not affected by the cultivar. Seed total AA and protein for dry pea ranged from 11.8 to 22.2 and 12.6 to 27.6 g/100 g, respectively, with heritability estimates of 0.19 to 0.25. In vitro protein digestibility and protein digestibility corrected AA score (PDCAAS) ranged from 83 to 95% and 0.18 to 0.64, respectively. Heritability estimates for individual AAs ranged from 0.08 to 0.42; principal component (PCA) analysis showed five significant AA clusters. Cultivar Fiddle had significantly higher total AA (19.6 g/100 g) and digestibility (88.5%) than all other cultivars. CDC Amarillo and Jetset were significantly higher in cystine (Cys), and CDC Inca and CDC Striker were significantly higher in methionine (Met) than other cultivars; CDC Spectrum was the best option in terms of high levels of both Cys and Met. Lysine (Lys) concentration did not vary with cultivar. A 100 g serving of organic dry pea provides a significant portion of the recommended daily allowance of six essential AAs (14-189%) and daily protein (22-48%) for an average adult weighing 72 kg. Overall, this study shows organic dry pea has excellent protein quality, significant amounts of sulfur-containing AAs and Lys, and good protein digestibility, and thus has good potential for future plant-based food production. Further genetic studies are warranted with genetically diverse panels to identify candidate genes and target parents to develop nutritionally superior cultivars for organic protein production.

Of the three subtypes of attention outlined by the attentional subsystems model, alerting (vigilance or arousal needed for task completion) and executive control (the ability to inhibit distracting information while completing a goal) are susceptible to age-related decline, while orienting remains relatively stable. Yet, few studies have investigated strategies that may acutely maintain or promote attention in typically aging older adults. Music listening may be one potential strategy for attentional maintenance as past research shows that listening to happy music characterized by a fast tempo and major mode increases cognitive task performance, likely by increasing cognitive arousal. The present study sought to investigate whether listening to happy music (fast tempo, major mode) impacts alerting, orienting, and executive control attention in 57 middle and older-aged adults (M = 61.09 years, SD = 7.16). Participants completed the Attention Network Test (ANT) before and after listening to music rated as happy or sad (slow tempo, minor mode), or no music (i.e., silence) for 10 min. Our results demonstrate that happy music increased alerting attention, particularly when relevant and irrelevant information conflicted within a trial. Contrary to what was predicted, sad music modulated executive control performance. Overall, our findings indicate that music written in the major mode with a fast tempo (happy) and minor mode with a slow tempo (sad) modulate different aspects of attention in the short-term.

Abstract Background Presbyopia is a progressive condition that reduces the eye’s ability to focus on near objects with increasing age. After a systematic literature review identified no existing presbyopia-specific patient-reported outcome (PRO) instruments meeting regulatory guidance, a new PRO instrument, the Near Vision Presbyopia Task-based Questionnaire (NVPTQ), was developed. Results To explore the patient experience with presbyopia, concept elicitation interviews were conducted with 20 presbyopic participants. The most frequently reported impacts were difficulty with reading menus/books/newspapers/magazines, reading on a cell phone/caller ID, and reading small print. Based on these results, a task-based PRO instrument (the NVPTQ) was developed instructing participants to complete four near-vision, paper-based reading tasks (book, newspaper, nutrition label, menu) under standardized settings, and subsequently assess their vision-related reading ability and associated satisfaction. The draft NVPTQ was cognitively debriefed with a sample of 20 presbyopes, which demonstrated that most participants interpreted the items as intended and endorsed the relevance of the concepts being assessed. After the qualitative research, the draft instrument was psychometrically tested using data from a Phase 2 study. Based on item-level analyses, all items in the NVPTQ demonstrated expected response option patterns and lacked substantial floor or ceiling effects. The reliability, validity, and responsiveness of the NVPTQ Performance and Satisfaction domain scores were assessed. All domains scores had large Cronbach’s coefficient α values and good test–retest statistics, indicating that the scores are internally consistent and produce stable values over time. The pattern of correlations with a concurrent measure of visual functioning (National Eye Institute Visual Function Questionnaire 25) demonstrated that the NVPTQ domain scores were related to an alternative assessment of near-vision activities. The NVPTQ domain scores were able to distinguish between groups that were known to differ on the clinical outcome of uncorrected near visual acuity, supporting the construct validity of these scores. The NVPTQ domain scores showed evidence of responsiveness to change by being able to distinguish between groups defined as improved and not improved based on patient-reported and clinical outcomes. Conclusions This research has resulted in a content-valid and psychometrically sound instrument designed to evaluate vision-related reading ability and satisfaction with vision-related reading ability. Trial registration: ClinicalTrials.gov NCT02780115. Registered 23 May 2016, https://www.clinicaltrials.gov/ct2/show/NCT02780115?term=NCT02780115&draw=2&rank=1.

Abstract Lentil, a cool-season food legume, is rich in protein and micronutrients with a range of prebiotic carbohydrates, such as raffinose-family oligosaccharides (RFOs), fructooligosaccharides (FOSs), sugar alcohols (SAs), and resistant starch (RS), which contribute to lentil's health benefits. Beneficial microorganisms ferment prebiotic carbohydrates in the colon, which impart health benefits to the consumer. In addition, these carbohydrates are vital to lentil plant health associated with carbon transport, storage, and abiotic stress tolerance. Thus, lentil prebiotic carbohydrates are a potential nutritional breeding target for increasing crop resilience to climate change with increased global nutritional security. This study phenotyped a total of 143 accessions for prebiotic carbohydrates. A genome-wide association study (GWAS) was then performed to identify associated variants and neighboring candidate genes. All carbohydrates analyzed had broad-sense heritability estimates (H 2) ranging from 0.22 to 0.44, comparable to those reported in the literature. Concentration ranges corresponded to percent recommended daily allowances of 2–9% SAs, 7–31% RFOs, 51–111% RS, and 57–116% total prebiotic carbohydrates. Significant SNPs and associated genes were identified for numerous traits, including a galactosyltransferase (Lcu.2RBY.1g019390) known to aid in RFO synthesis. Further studies in multiple field locations are necessary. Yet, these findings suggest the potential for molecular-assisted breeding for prebiotic carbohydrates in lentil to support human health and crop resilience to increase global food security.

Abstract A new process was developed to recover high specific activity (no carrier added) 99Mo from electron-accelerator irradiated U3O8 or uranyl sulfate targets. The process leverages a novel solvent extraction scheme to recover Mo using di(2-ethylhexyl) phosphoric acid following uranium and transuranics removal with tri-n-butyl phosphate. An anion-exchange concentration column step provides a final purification, generating pure 99Mo intended for making 99Mo/99mTc generators. The process was demonstrated with irradiated uranium targets resulting in more than 95% 99Mo recovery and without presence of fission products or actinides in the product.

This paper presents a novel ontological model of Cyber Influence Campaigns (CICs). The model accepts both physical and cyber based actions. The model represents the mechanics, linkages, and structure of tailored data to concurrently analyse both the physical and cyber realms. Influence modeling and ontological based analysis of social media has to date mainly focused on the use of ontologies to categorise or cluster the results of text based feature extraction. Whilst this is highly important for detection of misinformation that has the potential to influence a network, these methods do not provide a mechanism for mapping events across realms in order to quantify the influence in meaningful ways. By developing a novel semantic model and unique classes that leverage the graph nature of the ontological representation, our ontological model provides causal linkages and a framework which is applicable for analysis and deeper insights into CICs. This study also builds two tailored datasets for our ontological model from raw Twitter data as the IEEE DataPort Cyber Influence Campaign Ontology dataset (DOI 10.21227/70kc-yx38) and details how to analyze various CIC scenarios.

Societal Impact Statement Lentils are not only rich in protein and micronutrients, but they also have significant amounts of prebiotic carbohydrates, which provide benefits to human health. Beneficial microorganisms ferment lentil prebiotic carbohydrates in the colon, which impart gut health benefits to the consumer. In addition, prebiotic carbohydrates provide benefits to lentil plant health through their roles in carbon transport, storage, and abiotic stress tolerance. Advantageous to both human and plant health, prebiotic carbohydrates should be a prominent target for breeding efforts to improve lentil as a crop, as well as its nutritional value to consumers. Summary Diet‐related ailments, such as obesity and micronutrient deficiencies, have global adverse impacts on society. Lentil is an important staple crop, especially in South Asia and Africa, and has been associated with the prevention of chronic illnesses, including type II diabetes, obesity, and cancer. Lentil, a cool‐season food legume, is rich in protein and micronutrients while also containing a range of prebiotic carbohydrates, such as raffinose family oligosaccharides (RFOs), fructooligosaccharides, sugar alcohols (SAs), and resistant starch (RS), which contribute to lentil's health benefits. Prebiotic carbohydrates are fermented by beneficial microorganisms in the colon, which impart health benefits to the consumer. Prebiotic carbohydrates are also vital to lentil plant health, being associated with carbon transport/storage and abiotic stress tolerance. Important to both human and plant health, prebiotic carbohydrates in lentil are a prominent candidate for nutrigenomic breeding efforts. New lentil cultivars could help to combat global health problems, while also proving resilient to climate change. The objectives of this review are to: (a) discuss the benefits lentil prebiotic carbohydrates confer to human and plant health; (b) describe the biosynthesis pathways of two prominent prebiotic carbohydrate families in lentil, RFOs and SAs; and (c) consider the potential of prebiotic carbohydrates in terms of future nutritional breeding efforts.

Parkinson's disease is a neurodegenerative disease that can be associated with motor fluctuations that result in substantial negative impact to an individual's activities of daily living. Understanding the patient's perspective about the impact of Parkinson's disease therapies is an important part of drug development and shared treatment decision-making. The objective of this research was to examine the structure, scoring, internal consistency, test-retest reliability, and concurrent and known groups validity of the Parkinson's Disease Activities of Daily Living, Interference and Dependence (PD-AID) instrument, a new, patient-reported outcomes instrument, developed to assess the clinical benefit of Parkinson's disease treatment from the patient's perspective. This was a non-interventional study among persons with mild-to-moderate Parkinson's disease currently using and responding to L-Dopa. The structure of the measure was confirmed applying item response theory to data from baseline, supporting 4 candidate scores. Baseline Patient Global Impression of Severity ratings facilitated known-groups analysis. Data from all participants were used to estimate test-retest reliability. Concurrent validity was assessed using correlations with related measures. Participants (n = 94) were mean age 69 years (mean time since diagnosis 6.9 years); 34 experienced L-Dopa-related dyskinesia. Psychometric models supported 4 candidate scoring regimes for the PD-AID. All exhibited adequate reliability and validity characteristics and strong internal consistency. Correlations with reference measures were in the expected direction and range of magnitude. Analyses supported the PD-AID as fit-for-purpose, producing psychometrically sound scores. Further research to confirm the measurement properties of the PD-AID in an expanded sample and to establish thresholds for meaningful score changes is recommended.

Abstract Fourier‐transform mid‐infrared (FT‐MIR) spectroscopy is a high‐throughput, cost‐effective method to quantify nutritional traits, such as total protein and sulfur‐containing amino acid (SAA) concentrations, in plant matter. This study used the spectroscopic technique FT‐MIR coupled with attenuated total internal reflectance sampling interface to develop multivariate models for total protein concentration in chickpea (Cicer arietinum L.), dry pea (Pisum sativum L.), and lentil (Lens culinaris Medik.), in addition to SAA concentration in lentil. Total nitrogen data from combustion analysis and SAA data from high‐performance liquid chromatography analysis following acid hydrolysis were used for model calibration and validation. Models for the total protein concentration of chickpea (calibration root mean square error [RMSE] = 0.093, R2 = 0.948, prediction RMSE = 0.10), dry pea (calibration RMSE = 0.096, R2 = 0.845, prediction RMSE = 0.093), and lentil (calibration RMSE = 0.13, R2 = 0.845, prediction RMSE = 0.11) utilized infrared regions associated with protein structures, namely amide bands A, I, and II. In sulfur‐related models for lentil total SAA (calibration RMSE = 0.014, R2 = 0.827, prediction RMSE = 0.022) and methionine (calibration RMSE = 0.0075, R2 = 0.815, prediction RMSE = 0.014) models utilized the C‐S and S‐CH3 stretching and bending bands. Study findings support the conclusion that FT‐MIR spectroscopy is a promising high‐throughput and cost‐effective phenotyping technique that will allow quantifying protein traits quickly and easily in pulse crops.

Abstract Objective: To examine the associations of physical activity (PA) and sitting time (sit) with cardio‐metabolic diseases. Methods: Cross‐sectional data from the Australian National Nutrition and Physical Activity Survey 2011–2012 (n=9,435) were used to classify adults into low and high risk groups based on their physical activity and sitting behaviour profiles. Logistic regression models examined associations between low and high risk classifications (high PA‐low sit; high PA‐high sit; low PA‐low sit; low PA‐high sit;) and socio‐demographic factors, and associations between low and high risk classifications and the prevalence of cardiovascular disease, Type 2 diabetes and metabolic syndrome. Results: These results characterise chronic disease risk based on both physical activity and sitting behaviour. Adults with the highest risk lifestyle behaviour pattern (low PA‐high sit) tended to be middle aged, male, at greater social disadvantage, smoke, report fair health, be abdominally obese and employed in administrative and driver occupations. These individuals had a substantially greater risk of cardiovascular disease and metabolic syndrome (OR=1.41, 95% CI 1.13, 1.75; OR= 2.37, 95% CI 1.63, 3.45, respectively). Conclusions: The findings highlight the importance of both sufficient physical activity and low sitting time for cardio‐metabolic health. Implications for public health: Primary prevention focus should consider physical activity and reduced sitting time as well as provision of relevant advice for cardio‐metabolic health.

Erythropoietic protoporphyria (EPP) is an autosomal recessive deficiency in heme biosynthesis due to pathogenic variants in the ferrochelatase gene (FECH). Patients present with lifelong photosensitivity and potential liver disease. Here we report a novel FECH variant designated c.904_912+1del found in trans with the c.315-48T>C hypomorphic variant, in one family with three affected individuals. These patients presented with immediate painful cutaneous photosensitivity but no hepatic manifestations. All have elevated protoporphyrin levels consistent with a diagnosis of EPP. Genetic, biochemical, and functional assay results obtained for this family suggest that the unique variant c.904_912+1del is likely pathogenic and thus causative of EPP. Keywords: Erythropoietic protoporphyria, Hepatic porphyria, Genetic disease

Fifteen years ago, Pacala and Socolow argued that global carbon emissions could be stabilised by mid-century using a portfolio of existing mitigation strategies. We assess historic progress for each of their proposed mitigation strategies and convert this into the unit of ‘wedges’. We show that the world is on track to achieve 1.5 ± 0.9 wedges relative to seven required to stabilise emissions, or 14 required to achieve net-zero emissions by mid-century. Substantial progress has been made in some domains that are not widely recognised (improving vehicle efficiency and declining vehicle use); yet this is tempered by negligible or even negative progress in many others (particularly tropical tree cover loss in Asia and Africa). By representing global decarbonisation efforts using the conceptually simple unit of wedges, this study helps a broader audience to understand progress to date and engage with the need for much greater effort over the coming decades.

The following paper highlights the theories used to further project management (PM) research spanning the 15 year time period of 1999-2013. The analysis examined 273 articles drawn from seven widely recognized PM journals with the aim of uncovering the most utilized theories in the discipline’s academic investigations. The review found these theories to be: Stakeholder Theory (ST), Fuzzy Sets Theory (FST), Utility Theory (UT), Theory of Constraints (TOC), and Actor-Network Theory (ANT). This collection of theories represents a diverse group of thought constituting a large portion of the PM literature’s theoretical foundations. Both UT and TOC have diminished in popularity while ANT and ST have improved in favor; FST has remained consistent in its use. The appendix to this manuscript includes a “ready reference” of all the theories utilized in PM research found within the reviewed journal outlets from the 15 year review period.

Low diversity among scientists and practitioners is rampant in conservation. Currently, conservation professionals do not reflect the same diversity of perspectives and experiences of the world as the communities who bear the largest burden for implementing—or adverse consequences for failing to implement—conservation action. Acknowledging and describing the problem is important. But policies and programmes must also be put in place to correct it. Here, we highlight some measurable benefits of workforce diversity, and give an overview of some of the barriers to inclusion in marine conservation that help perpetuate low workforce diversity. Importantly, we underscore actions that both individuals and groups can take to alleviate such barriers. In particular, we describe the establishment of an online Marine Diversity Network, which conference participants proposed during a focus group meeting at the 4th International Marine Conservation Congress. The network will serve to bring together people from across the globe, from a variety of backgrounds, and from all career stages, to share knowledge, experiences and ideas, to provide and receive mentorship in marine conservation, and to forge new collaborations. Removing barriers to diverse participation requires coordinated, mindful actions by individuals and organizations. We hope that the proposed network and other actions presented in this paper find widespread support, and that they might serve both as inspiration and guide to other groups concerned with increasing diversity and inclusivity.

Freshwater mussel species with doubly uniparental inheritance (DUI) of mtDNA are unique because they are naturally heteroplasmic for two extremely divergent mtDNAs with ~50% amino acid differences for protein-coding genes. The paternally-transmitted mtDNA (or M mtDNA) clearly functions in sperm in these species, but it is still unknown whether it is transcribed when present in male or female soma. In the present study, we used PCR and RT-PCR to detect the presence and expression of the M mtDNA in male and female somatic and gonadal tissues of the freshwater mussel species Venustaconcha ellipsiformis and Utterbackia peninsularis (Unionidae). This is the first study demonstrating that the M mtDNA is transcribed not only in male gonads, but also in male and female soma in freshwater mussels with DUI. Because of the potentially deleterious nature of heteroplasmy, we suggest the existence of different mechanisms in DUI species to deal with this possibly harmful situation, such as silencing mechanisms for the M mtDNA at the transcriptional, post-transcriptional and/or post-translational levels. These hypotheses will necessitate additional studies in distantly-related DUI species that could possess different mechanisms of action to deal with heteroplasmy.

Climate change may constrain future electricity supply adequacy by reducing electric transmission capacity and increasing electricity demand. The carrying capacity of electric power cables decreases as ambient air temperatures rise; similarly, during the summer peak period, electricity loads typically increase with hotter air temperatures due to increased air conditioning usage. As atmospheric carbon concentrations increase, higher ambient air temperatures may strain power infrastructure by simultaneously reducing transmission capacity and increasing peak electricity load. We estimate the impacts of rising ambient air temperatures on electric transmission ampacity and peak per-capita electricity load for 121 planning areas in the United States using downscaled global climate model projections. Together, these planning areas account for roughly 80% of current peak summertime load. We estimate climate-attributable capacity reductions to transmission lines by constructing thermal models of representative conductors, then forcing these models with future temperature projections to determine the percent change in rated ampacity. Next, we assess the impact of climate change on electricity load by using historical relationships between ambient temperature and utility-scale summertime peak load to estimate the extent to which climate change will incur additional peak load increases. We find that by mid-century (2040–2060), increases in ambient air temperature may reduce average summertime transmission capacity by 1.9%–5.8% relative to the 1990–2010 reference period. At the same time, peak per-capita summertime loads may rise by 4.2%–15% on average due to increases in ambient air temperature. In the absence of energy efficiency gains, demand-side management programs and transmission infrastructure upgrades, these load increases have the potential to upset current assumptions about future electricity supply adequacy.