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The precision nutrition paradigm is based on the premise that substantial variation exists between human subjects in terms of diet-related disease risk and response to dietary interventions. In terms of better defining, 'the right diet for the right person at the right time' may be more appropriate than 'one-diet-fits-all'. This review will explore how systems biology and nutrigenomics approaches have advanced the precision nutrition paradigm. We will draw upon a number of elegant mechanistic studies that have enhanced our understanding with respect to the complex biology and inter-organ crosstalk, relating to inflammation and metabolism, that underpin cardio-metabolic health. Also, this review will explore the extent to which more targeted, precision nutrition approaches may attenuate adverse risk factors associated with cardio-metabolic disease. We will focus on the key characteristics or 'metabotypes' of high- low-risk individuals and response non-response to interventions, to generate greater insights with respect to risk stratification and therapeutic interventions to enhance disease prevention. The goal is to utilise systems biology to enhance understanding by underpinning more targeted nutritional approaches, which may improve efficacy of personalised nutrition interventions.

This study presents the application of an interactive downscaling in Europe using iLOVECLIM (a model of intermediate complexity), increasing its atmospheric resolution from 5.56 to 0.25∘ kilometric. A transient simulation using the appropriate climate forcings for the entire Holocene (11.5–0 ka BP) was done for both the standard version of the model and with an interactive downscaling applied. Our results show that simulations from downscaling present spatial variability that agrees better with proxy-based reconstructions and other climate models as compared to the standard model. The downscaling scheme simulates much higher (by at least a factor of 2) precipitation maxima and provides detailed information in mountainous regions. We focus on examples from the Scandes mountains, the Alps, the Scottish Highlands, and the Mediterranean. The higher spatial resolution of the downscaling provides a more realistic overview of the topography and gives local climate information, such as precipitation and temperature gradient, that is important for paleoclimate studies. With downscaling, we simulate similar trends and spatial patterns of the precipitation changes reconstructed by other proxy studies (for example in the Alps) as compared to the standard version. Our downscaling tool is numerically cheap, implying that our model can perform kilometric, multi-millennial simulations and is suitable for future studies.

U.S. Latino/a adolescents experience high levels of ethnic discrimination, particularly in new immigrant destinations. Due to the salience of peers during adolescence, this study examined how peer discrimination related directly and indirectly, through deviant peer affiliation, to changes in Latino/a adolescents' internalizing and externalizing symptoms. Culture-specific moderators hypothesized to buffer discrimination impacts on adolescent symptomology included Spanish language enculturation and adolescents' social ties to relatives in the family's country-of-origin.The sample of 547 Latino/a adolescent participants from the Caminos al Bienestar study (55.4% female; ageResults from longitudinal structural equation models revealed that peer discrimination was associated indirectly with increased externalizing symptoms, through increases in affiliation with deviant peers (Ethnic discrimination by peers may lead to deviant peer affiliation and, in turn, increased externalizing behaviors. Future research identifying protective factors that buffer discrimination impacts on deviant peer affiliation is needed to inform the development of interventions that can prevent Latino/a adolescents' externalizing symptoms.

The Last Interglacial period (LIG), which occurred approximately between 130 and 116 kyr BP, is characterized by similar/warmer temperatures and higher sea levels compared to the present-day conditions due to the orbital variation of the Earth. Hence, the period provides insights into the behavior of the Earth's system components under stable and prolonged warm climates and their subsequent evolution into a glacial state. To better understand the ice sheet's surface mass balance that ultimately drives the advance and retreat of ice-sheets, we study the snow cover changes in the Northern Hemisphere during the LIG. In order to do so, we used BESSI (BErgen Snow Simulator), a physical energy balance model with 15 vertical snow layers and high computational efficiency, to simulate the snowpack evolution. First, BESSI was validated using the regional climate model MAR (Modèle Atmosphérique Régional) as forcing and benchmark for snow cover over the Greenland and Antarctica Ice Sheets under present-day climate. Using two distinct ice sheet climates helps constrain the different processes in place (e.g., albedo and surface melt for Greenland and sublimation for Antarctica). For the LIG simulations, the latest version of an Earth system model of intermediate complexity iLOVECLIM was used to force BESSI in different time slices to fully capture the snow evolution in the Northern Hemisphere throughout this period. Impacts of the downscaling component of iLOVECLIM, which provides higher resolution data and accounts for the influences of the topography, on BESSI performance are also discussed. The results show that BESSI performs well compared to MAR for the present-day climate, even with a less complex model set-up. Through the LIG, with the ability to model the snow compaction, the change of snow density and snow depth, BESSI simulates the snow cover evolution in the studied area better than the simple snow model (bucket model) included in iLOVECLIM. The findings suggest that BESSI can provide a more physical surface mass balance scheme to ice sheet models such as GRISLI of iLOVECLIM to improve simulations of the ice sheet - climate interactions.

According to geological records, the sea level during the Last Interglacial (∼ 129–116 ka) peaked 6 to 9 m higher than during the pre-industrial with a major contribution from the Antarctic ice sheet (Dutton et al. 2015). According to Clark et al. 2020, a longer period of reduced Atlantic Meridional Overturning Circulation (AMOC) during the penultimate deglaciation compared to the last deglaciation could have led to greater subsurface warming and subsequent larger Antarctic Ice Sheet retreat.Here we study the response of the Antarctic ice sheet to climate forcing with a forced AMOC shutdown at different timing and duration during the penultimate deglaciation (∼ 138–128 ka). The simulations are done with the Earth System Model of Intermediate Complexity iLOVECLIM (Roche et al. 2014) and the ice sheet model GRISLI (Quiquet et al. 2018), using the recently implemented sub-shelf melt module PICO (Reese et al. 2018). In the present simulations the GRISLI is forced with the iLOVECLIM simulations and is a step towards a fully coupled climate - ice sheet set up to take into account the climate - ice sheet interactions in a physical way.We hypothesize that both the duration and timing of reduced AMOC can significantly affect the sensitivity of the Antarctic Ice Sheet. A longer period of AMOC reduction will lead to a larger subsurface warming in the Southern Ocean and subsequently a larger ice sheet retreat. On the other hand, an AMOC reduction earlier (later) in the deglaciation implies that the ice sheet that is affected by this subsurface warming is still fairly large (already small). We will discuss both the individual as well as combined effect of duration and timing on the ice sheet evolution.

Refereed/Peer-reviewed Purpose: Reporting guidelines facilitate quality and completeness in research reporting. The CONsolidated Standards Of Reporting Trials (CONSORT) statement is widely applied to dietary and nutrition trials but has no extension specific to nutrition. Evidence suggests poor reporting in nutrition research. The Federation of European Nutrition Societies led an initiative to make recommendations for a nutrition extension to the CONSORT statement towards a more robust reporting of the evidence base. Methods: An international working group was formed of nutrition researchers from 14 institutions in 12 different countries and on five continents. Using meetings over a period of one year, we interrogated the CONSORT statement specifically for its application to report nutrition trials. Results: We provide a total of 28 new nutrition-specific recommendations or emphasised recommendations for the reporting of the introduction (three), methods (twelve), results (five) and discussion (eight). We also added two additional recommendations that were not allocated under the standard CONSORT headings. Conclusion: We identify a need to provide guidance in addition to CONSORT to improve the quality and consistency of the reporting and propose key considerations for further development of formal guidelines for the reporting of nutrition trials. Readers are encouraged to engage in this process, provide comments and conduct specific studies to inform further work on the development of reporting guidelines for nutrition trials.

Climate model simulations are inherently biased. It is a notably difficult problem when dealing with climate impact assessments and model-data integration. This is especially true when looking at derived quantities such as biomes, where not only climate but also vegetation dynamics biases come into play. To overcome such difficulties, we evaluate the performance of an existing methodology to correct climate model outputs, applied here for the first time to long past climate conditions. The proposed methodology relies on the ‘Cumulative Distribution Function-transform’ (CDF-t) technique, which allows to account for climate change within the bias-correction procedure. The results are evaluated in two independent ways: (i) using forward modelling, so that model results are directly comparable to reconstructed vegetation distribution; (ii) using climatic reconstructions based on an inverse modelling approach. The modelling is performed using the intermediate complexity model iLOVECLIM in the standard global and interactively downscaled over the Europe version. The combined effects of dynamical downscaling and bias correction resulted in significantly stronger agreement between the simulated results and pollen-based biome reconstructions (BIOME6000) for the pre-industrial (0.18 versus 0.44) and mid-Holocene (MH) (0.31 versus 0.40). Higher correlation is also observed between statistically modelled global gridded potential natural distribution and modelled biomes (0.36 versus 0.41). Similarly, we find higher correlation between the reconstructed and the modelled temperatures for the MH (0.02 versus 0.21). No significant difference is found for the Last Glacial Maximum when using temperature reconstructions, due to the low number of data points available. Our findings show that the application of the CDF-t method on simulated climate variables enables us to simulate palaeoclimate and vegetation distribution in better agreement with independent reconstructions.

This article describes global shifts in migration and population demography and the simultaneous increase in nationalism and xenophobia. The literature lays out a need for more research examining how young people from immigrant or refugee backgrounds are being affected by contemporary trends in nationalism and xenophobia across diverse national contexts. This article concludes with an overview of five papers addressing the topic in the special section.

Latin American-origin parents play an important role in supporting the formal education of their youth, but cultural, linguistic, and systemic barriers make parent involvement difficult. The aim of the present study was to examine how Latina mothers' experiences with discrimination were associated with short-term changes in their adolescent children's academic performance, directly and indirectly through mothers' appraisal of home-school dissonance. Data were drawn from an ongoing longitudinal study of 547 mother-youth dyads in suburban Atlanta. Results showed a significant indirect relationship between mothers' experiences of discrimination and declines in adolescents' grade point average by way of increased home-school dissonance. Thus, Latina mothers' discriminatory experiences may have spillover effects on adolescent academic achievement through increasing proximal barriers to parent involvement.

Background: This Clinical Practice Guideline (CPG) for the management of obesity in adults in Ireland, adapted from the Canadian CPG, defines obesity as a complex chronic disease characterised by excess or dysfunctional adiposity that impairs health. The guideline reflects substantial advances in the understanding of the determinants, pathophysiology, assessment, and treatment of obesity. Summary: It shifts the focus of obesity management toward improving patient-centred health outcomes, functional outcomes, and social and economic participation, rather than weight loss alone. It gives recommendations for care that are underpinned by evidence-based principles of chronic disease management; validate patients’ lived experiences; move beyond simplistic approaches of “eat less, move more” and address the root drivers of obesity. Key Messages: People living with obesity face substantial bias and stigma, which contribute to increased morbidity and mortality independent of body weight. Education is needed for all healthcare professionals in Ireland to address the gap in skills, increase knowledge of evidence-based practice, and eliminate bias and stigma in healthcare settings. We call for people living with obesity in Ireland to have access to evidence-informed care, including medical, medical nutrition therapy, physical activity and physical rehabilitation interventions, psychological interventions, pharmacotherapy, and bariatric surgery. This can be best achieved by resourcing and fully implementing the Model of Care for the Management of Adult Overweight and Obesity. To address health inequalities, we also call for the inclusion of obesity in the Structured Chronic Disease Management Programme and for pharmacotherapy reimbursement, to ensure equal access to treatment based on health-need rather than ability to pay.

Asynchronous and synchronous modes of online communication utilizing a variety of technology applications provide students with opportunities to engage in both student-to-student and team discourse. Through experiential and project-based learning, students develop skills in digital literacy, virtual teamwork, empathy, and cross-cultural communication—all requisite 21st century skills for employment. The authors will showcase their virtual exchange collaborations utilizing the latest educational tech tools. Challenges, considerations, and opportunities inherent in developing and delivering virtual exchange projects plus student reflections will be shared. Teaching strategies that embrace a diversity, inclusion, equity, and social justice learning environment will be discussed.

During the last deglaciation, the climate evolves from a cold state at the Last Glacial Maximum (LGM) at 21 ka (thousand years ago) with large ice sheets to the warm Holocene at ∼9 ka with reduced ice sheets. The deglacial ice sheet melt can impact the climate through multiple ways: changes of topography and albedo, bathymetry and coastlines, and freshwater fluxes (FWFs). In the PMIP4 (Paleoclimate Modelling Intercomparison Project – Phase 4) protocol for deglacial simulations, these changes can be accounted for or not depending on the modelling group choices. In addition, two ice sheet reconstructions are available (ICE-6G_C and GLAC-1D). In this study, we evaluate all these effects related to ice sheet changes on the climate using the iLOVECLIM model of intermediate complexity. We show that the two reconstructions yield the same warming to a first order but with a different amplitude (global mean temperature of 3.9 ∘C with ICE-6G_C and 3.8 ∘C with GLAC-1D) and evolution. We obtain a stalling of temperature rise during the Antarctic Cold Reversal (ACR, from ∼14 to ∼12 ka) similar to proxy data only with the GLAC-1D ice sheet reconstruction. Accounting for changes in bathymetry in the simulations results in a cooling due to a larger sea ice extent and higher surface albedo. Finally, freshwater fluxes result in Atlantic meridional overturning circulation (AMOC) drawdown, but the timing in the simulations disagrees with proxy data of ocean circulation changes. This questions the causal link between reconstructed freshwater fluxes from ice sheet melt and recorded AMOC weakening.

Rangelands support many important ecosystem services and are highly sensitive to climate change. Understanding temporal dynamics in rangeland gross primary production (GPP) and how it may change under projected future climate, including more frequent and severe droughts, is critical for ranching communities to cope with future changes. Herein, we examined how climate regulates the interannual variability of GPP in California’s diverse annual rangeland, based on the contemporary records of satellite derived GPP at 500 m resolution since 2001. We built Gradient Boosted Regression Tree models for 23 ecoregion subsections, relating annual GPP with 30 climatic variables, to disentangle the partial dependence of GPP on each climate variable. The machine learning results showed that GPP was most sensitive to growing season (GS) precipitation, with a reduction in GPP up to 200 g cm−2 yr−1 when GS precipitation decreased from 400 to 100 mm yr−1 in one of the driest subsections. We also found that years with more evenly distributed GS precipitation had higher GPP. Warmer winter minimum air temperature enhanced GPP in approximately two-thirds of the subsections. In contrast, average GS air temperatures showed a negative relationship with annual GPP. When the pre-trained models were forced by downscaled future climate projections, changes in the predicted rangeland productivity by mid- and end of century were more remarkable at the ecoregion subsection scale than at the state level. Our machine learning-based analysis highlights key regional differences in GPP vulnerability to climate and provides insights on the intertwining and potentially counteracting effects of seasonal temperature and precipitation regimes. This work demonstrates the potential of using remote sensing to enhance field-based rangeland monitoring and, combined with machine learning, to inform adaptive management and conservation within the context of weather extremes and climate change.

Purpose: Social standards that support White normativity impact communication styles and use of microaggressions that alienate minority and culturally/linguistically diverse groups. Though professionals in education and communication sciences and disorders (CSD) attempt to help students/clients navigate the world, CSD professionals focus more on nonnormativity as different, not bad, whereas mainstream education focuses on meeting normative standards—potentially impacting how preprofessional students approach and understand non-inclusive language. The purpose of this study was to gain an understanding of the prevalence of microaggression endorsement (i.e., indicating they would use a phrase, even if unaware of its potential harm) and adaptation to feedback that may promote changes in microaggressive language endorsements by preservice students in predominantly White-dominated disciplines with different approaches to nonnormativity. Method: Computer mouse-tracking was used to explore explicit and implicit cognition before and after corrective feedback regarding the perception and social impact of microaggressions among 37 undergraduate preservice CSD and education majors. Results: Preservice CSD undergraduates were far less likely to endorse microaggression statements, and agree with the potential harm microaggressions cause. Preservice CSD undergraduates also experienced more cognitive competition when making decisions about microaggressions, but this cognitive competition lessened after feedback. Conclusions: This study of microaggressions is promising, as it demonstrates that preservice educators and CSD undergraduates are sensitive to the harm microaggressions cause, but both groups of preprofessionals may still hold some non-inclusive notions that may be damaging to colleagues, clients, and students. Fortunately, this understanding of the research suggests that awareness may be an important factor affecting change, promoting cultural competence, and providing opportunities for reflection. Supplemental Materials: https://osf.io/kax8t/

On the Ground • California's historic, statewide drought (2012-2016) challenged the ability of ranchers to adapt to unprecedented conditions while maintaining the economic and ecological sustainability of their operations. • We examined how California's historic drought shaped on-ranch drought impacts and management strategies via two separate research efforts: The California Rangeland Decision-Making Survey (2011) and semistructured interviews conducted during the drought (2016). • The average number of drought management practices used by ranchers increased between 2011 and 2016; in particular, an apparent increase in use of proactive practices may indicate that underlying drought conditions leading into 2012 were a catalyst for proactive drought planning. • Rancher responses to questions about future drought risk suggest drought experience impacted individual perceptions of threat and preparedness in two distinct ways. Ranch managers believed that 1) drought will be more influential in their future management planning, and 2) their current management strategies would be adequate to mitigate future drought impacts. • Decision-support tools to help ranchers match their preferred proactive strategies with cost-effective, operation-specific reactive strategies can increase the use of science-based decision-making during drought.

Every generation is influenced by the major events occurring in the world in which they grew up, and Generation Z is no exception. Demographers concur that Generation Z members were born between the years 1997 and 2015 rendering the oldest members 24 and the youngest 6. Throughout this tumultuous era, they have experienced such catastrophic events as 9/11, numerous school and mass shootings, a severe economic downturn in 2008, and the unprecedented events of 2020--a pandemic, a recession, the killing of George Floyd with subsequent racial injustice protests, and a volatile political environment leading up to the U.S. presidential election. Despite their disillusionment and disagreement regarding how many critical issues are being addressed, Gen Z is still confident in their power to make the world a better place. Gen Z is the most educated, diverse, and technologically connected generation in history. Because of these attributes and their sheer numbers, they are able to exert their collective influence toward making change. Their activism will become even more consequential as more and more members are eligible to vote and serve in governmental policy positions. Authors will discuss Gen Z and their future as a geopolitical force to be reckoned with. Slowly emerging into the political arena and sensitive to domestic and foreign policy challenges, Gen Z will soon emerge as key players in policy decision making. The soft power of Gen Z cultivated through educational initiatives and fostered through social activism can have an integral impact on intercultural relationships and in building trust with diverse communities around the world. Virtual exchange opportunities offer unique project-based learning experiences enhancing soft power skills. Gen Z, the digital natives, embody a global platform through social media, as a vehicle of communication to unite and promote awareness of the domestic and global challenges of geo-culturalization., www.arjil.org

There is a need to transform our current food system if we are to feed the rapidly expanding global population while maintaining planetary health. Within the island of Ireland, there is an urgent need to diversify the foods that currently contribute to our populations' protein intake. A Shared Island Innovative Food System approach is required to achieve this in a manner that is sustainable and provides benefits to producers, consumers and other supply chain participants. The Protein-I project employs such an approach, with the paradigm focusing on production of plant food through to human health, while paying particular attention to the development of the rural bioeconomy. Using an interdisciplinary approach, the team will develop strategies to maximise sustainable plant protein production in a traceable/transparent fashion and assess the impact of changes to existing value chains and the development of new value chains for the rural economy. A smart supply chain technology solution tailored to the needs of the agri-food industry will be developed and tested. Additionally, we will co-design consumer-led approaches to diversify plant protein intake, model the impact of changes at the population level and perform human interventions to demonstrate efficacy in terms of achieving adequate nutrition and improved health. Comprehensive engagement with stakeholders is embedded throughout the whole project to embrace the multi-actor approach. Overall, the project will be a key step towards future-proofing our food system on the island of Ireland and moving towards protecting planetary and population health, within the context of a just transition.

Freshwater systems are vulnerable to contamination by oil extraction and transportation. Thus, it is critical to understand how large freshwater ecosystems such as the Great Lakes will respond to released oil. In this study, we investigated differences in the microbial response to oil in the Straits of Mackinac at different times throughout the year and if crude (Bakken) and refined (non-highway diesel) oil exposure differentially altered the microbial community composition and hydrocarbon biodegradation rates. We also investigated the impact of temperature on the microbial response to oil by incubating samples collected in October of 2018 at 23 °C and at 4 °C. Ambient microbial communities differed between sample collection times, with significantly enriched microbial groups present between most sample types. We found significantly different microbial communities between control and oil-amended samples, but no significant differences between either oil type. We found that the bacterial family Solimonadaceae were significantly enriched in all oil-amended microcosms compared to the control microcosms across sampling times. We assessed oil biodegradation using CO2 production as a proxy for hydrocarbon metabolism. We observed a general trend of increased respiration rates with oil amendment compared to the control. No statistically significant differences in daily CO2 production rates existed between the two oil types. These findings suggest that microbial community in the Straits of Mackinac shifts over time even without oil amendment, and that the microbial communities in the Straits of Mackinac are compositionally and metabolically responsive to the presence of varying oil types throughout the year.

International audience; Abstract. The last deglaciation offers an unique opportunity to understand the climate–ice-sheet interactions in a global warming context. In this paper, to tackle this question, we use an Earth system model of intermediate complexity coupled to an ice sheet model covering the Northern Hemisphere to simulate the last deglaciation and the Holocene (26–0 ka). We use a synchronous coupling every year between the ice sheet and the rest of the climate system and we ensure a closed water cycle considering the release of freshwater flux to the ocean due to ice sheet melting. Our reference experiment displays a gradual warming in response to the forcings, with no abrupt changes. In this case, while the amplitude of the freshwater flux to the ocean induced by ice sheet retreat is realistic, it is sufficient to shut down the Atlantic meridional overturning circulation from which the model does not recover within the time period simulated. However, with reduced freshwater flux we are nonetheless able to obtain different oceanic circulation evolutions, including some abrupt transitions between shut-down and active circulation states in the course of the deglaciation. The inclusion of a parameterisation for the sinking of brines around Antarctica also produces an abrupt recovery of the Atlantic meridional overturning circulation, absent in the reference experiment. The fast oceanic circulation recoveries lead to abrupt warming phases in Greenland. Our simulated ice sheet geometry evolution is in overall good agreement with available global reconstructions, even though the abrupt sea level rise at 14.6 ka is underestimated, possibly because the climate model underestimates the millennial-scale temperature variability. In the course of the deglaciation, large-scale grounding line instabilities are simulated both for the Eurasian and North American ice sheets. The first instability occurs in the Barents–Kara seas for the Eurasian ice sheet at 14.5 ka. A second grounding line instability occurs ca. 12 ka in the proglacial lake that formed at the southern margin of the North American ice sheet. With additional asynchronously coupled experiments, we assess the sensitivity of our results to different ice sheet model choices related to surface and sub-shelf mass balance, ice deformation and grounding line representation. While the ice sheet evolutions differ within this ensemble, the global climate trajectory is only weakly affected by these choices. In our experiments, only the abrupt shifts in the oceanic circulation due to freshwater fluxes are able to produce some millennial-scale variability since no self-generating abrupt transitions are simulated without these fluxes.

OBJECTIVES This phenomenographic analysis examines how news of family separations at the U.S.-Mexico border shaped variations of experience and perceptions among U.S. Latinx adolescents across parental residency status. METHOD In 2018-2019, 340 15-18-year-old Latinx adolescents in the Washington D.C. area participated in a study on immigration actions and responded to an open-ended question detailing how news of family separations at the border affected them and their families. The sample was comprised of equivalent numbers of adolescents whose parents had U.S. citizenship, permanent residency, temporary protected status, or were undocumented. Utilizing a phenomenographic analysis, we compared data across the participants' parental residency status. RESULTS Three categories captured the complex influences that news of family separations had on Latinx adolescents not directly affected. Perceptual Experiencing described the sympathetic and vicarious emotions produced by the news of family separations. Lived Experiencing described the tangible effects experienced by participants, including incidents of increased racism and fear. Catalyzing effects described spillover effects of the first two themes where internalized feelings induced fear and catalyzed family behaviors. All themes were noted across residency status; however, the third was most strongly supported by those whose parents had precarious statuses. CONCLUSIONS Findings suggest Latinx families across residency statuses can be negatively affected by news of the adversities experienced by a subgroup. Service and healthcare providers, and educators must be prepared to support Latinx youth faced with fear, discrimination, and isolation arising from exposure to news on immigration actions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The spatio-temporal structure of natural climate variability has to be taken into account when unraveling observed climatic changes and simulate future climate change. However, based on the comparison of temperature reconstructions and climate model simulations covering the past two millenia, it has been argued that climate models are biased. They would simulate too little temporal temperature variability and too high correlations between temperature time series from different continents. One of the proposed causes is the lack of internal climate variability in climate models on centennial time scales, for instance variability related to the Atlantic Meridional Overturning Circulation (AMOC). We present a perturbed-parameter ensemble with the iLOVECLIM earth system model containing various levels of AMOC-related internal climate variability to investigate the effect on the spatio-temporal temperature variability structure. The model ensemble shows that indeed enhanced AMOC variability leads to more continental-scale temperature variability, but it also increases the spatio-temporal temperature correlations between different continents. However, combining the iLOVECLIM results with CMIP5 model results and various PAGES-2K temperature field reconstructions, we find that neither model results or reconstructions are robust. We show overall agreement for the magnitude of continental temperature variability in models and reconstructions, but both the simulated and the reconstructed ranges are large. This is even more true when considering higher order metrices like inter-continental temperature correlations or temperature variability land-sea contrasts. For such metrices, uncertainties in both model results and temperature reconstructions are so large that they hamper our ability to constrain simulated spatio-temporal structure of centennial temperature variability. As a result, we cannot determine the importance of AMOC variability for the climatic evolution over the past two millenia.

International audience; Plant-based proteins are generally characterised by lower Indispensable Amino Acid (IAA) content, digestibility, and anabolic properties, compared to animal-based proteins. However, they are environmentally friendlier, and wider consumption is advocated. Older adults have higher dietary protein needs to prevent sarcopenia, a disease marked by an accelerated loss of muscle mass and function. Given the lower environmental footprint of plant-based proteins and the importance of optimising dietary protein quality among older adults, this paper aims to assess the net peripheral Amino Acid (AA) appearance after ingestion of three different plant protein and fibre (PPF) products, compared to whey protein with added fibre (WPF), in healthy older adults. In a randomised, single-blind, crossover design, nine healthy men and women aged ≥65 years consumed four test meals balanced in AA according to the FAO reference protein for humans, matched for leucine, to optimally stimulate muscle protein synthesis in older adults. A fasted blood sample was drawn at each visit before consuming the test meal, followed by postprandial arterialise blood sampling every 30 min for 3 h. The test meal was composed of a soup containing either WPF or PPF 1–3. The PPF blends comprised pea proteins with varying additional rice, pumpkin, soy, oat, and/or almond protein. PPF product ingestion resulted in a lower maximal increase of postprandial leucine concentration and the sum of branched-chain AA (BCAA) and IAA concentrations, compared to WPF, with no effect on their incremental area under the curve. Plasma methionine and cysteine, and to a lesser extent threonine, appearance were limited after consuming the PPF products, but not WPF. Despite equal leucine doses, the WPF induced greater postprandial insulin concentrations than the PPF products. In conclusion, the postprandial appearance of AA is highly dependent on the protein source in older adults, despite providing equivalent IAA levels and dietary fibre. Coupled with lower insulin concentrations, this could imply less anabolic potential. Further investigation is required to understand the applicability of plant-based proteins in healthy older adults.

During the Last Deglaciation, the climate evolves from a cold state at the Last Glacial Maximum at 21 ka with large ice sheets, to the warm Holocene at ~9 ka with reduced ice sheets. The deglacial ice sheet melt can impact the climate through multiple ways: changes of topography and albedo, bathymetry and coastlines, as well as fresh water fluxes. In the PMIP4 protocol for deglacial simulations, these changes can be accounted or not depending on the modelling group choices. In addition, two ice sheet reconstructions are available (ICE-6G_C and GLAC-1D). In this study, we evaluate all these effects related to ice sheet changes on the climate using the iLOVECLIM model of intermediate complexity. We show that the two reconstructions yield the same warming to a first order, but with a different amplitude (3.9 °C with ICE-6G_C and 3.8 °C with GLAC-1D) and evolution. We obtain a stalling of temperature rise during the Antarctic Cold Reversal (from ~14 ka to ~12 ka) similar to proxy data only with the GLAC-1D ice sheet reconstruction. Accounting for changes in bathymetry in the simulations results in a cooling due to a larger sea ice extent and higher surface albedo. Finally, fresh water fluxes result in AMOC drawdown, but the timing in the simulations disagrees with proxy data of ocean circulation changes. This questions the links between reconstructed fresh water fluxes from ice sheet melt and recorded AMOC weakening and their representation in models.

ScopeGut microbiota alterations are associated with obesity and type 2 diabetes. Yeast β-glucans are potential modulators of the innate immune-metabolic response, by impacting glucose, lipid, and cholesterol homeostasis. The study examines whether yeast β-glucan interacts differentially with either an obese healthy or obese diabetic gut microbiome, to impact metabolic health through hepatic effects under high-fat dietary challenge.Methods and resultsMale C57BL/6J mice are pre-inoculated with gut microbiota from obese healthy (OBH) or obese type 2 diabetic (OBD) subjects, in conjunction with a high-fat diet (HFD) with/without yeast β-glucan. OBD microbiome colonization adversely impacts metabolic health compared to OBH microbiome engraftment. OBD mice are more insulin resistant and display hepatic lipotoxicity compared to weight matched OBH mice. Yeast β-glucan supplementation resolves this adverse metabolic phenotype, coincident with increasing the abundance of health-related bacterial taxa. Hepatic proteomics demonstrates that OBD microbiome transplantation increases HFD-induced hepatic mitochondrial dysfunction, disrupts oxidative phosphorylation, and reduces protein synthesis, which are partly reverted by yeast β-glucan supplementation.ConclusionsHepatic metabolism is adversely affected by OBD microbiome colonization with high-fat feeding, but partially resolved by yeast β-glucan. More targeted dietary interventions that encompass the interactions between diet, gut microbiota, and host metabolism may have greater treatment efficacy.

This study examined the developmental changes of familism values across adolescence among Latinx adolescents from an emerging immigrant community, and how changes in parental warmth were associated with changes in familism values. The sample included 547 Latinx adolescents. Multilevel model results indicated that familism values showed a linear decline from 6th to 10th grade. Between-person analyses showed that parental warmth was related to the higher initial levels of familism values but unrelated to changes in familism values. At the within-person level, on the occasions when adolescents report higher parental warmth, they also report higher familism values. This work highlights the importance of parental warmth for socializing developmental changes in Latinx adolescents' familism values in an emerging immigrant community context.

An 83-year-old woman was referred to the Dermatology department with a papular eruption on her left arm, occurring below the scar site of a malignant melanoma in situ, which had been excised 6 months previously. On physical examination, multiple, tender, violaceous papules and nodules inferior to the scar were noted, with central pustules in some of the lesions.

How do we resolve conflicting ideas about how to protect our health during a pandemic? Prior knowledge influences our decisions, potentially creating implicit cognitive conflict with new, correct information. COVID-19 provides a natural condition for investigating how an individual’s health-specific knowledge (e.g., understanding mask efficacy) and their personal context (e.g., outbreak proximity) influence their protective health behavior endorsement, as information about the virus, its spread, and lethality has changed over time. Using a dual-process-model framework, we investigated the role cognitive conflict has on health decision-making. We used a computer mouse-tracking paradigm alongside geographical information systems (GIS) as a proxy for context. The results support a contextualized-deficit-model framework in which relevant knowledge and context-based factors help individuals override cognitive conflict to make more preventative health decisions. Findings from this study may provide evidence for a more effective way for experts to combat non-adherence due to conflicting health information.

Rangeland food systems around the world are increasingly facing complex and wicked problems with changing climate, environmental, and socioeconomic conditions. We must find socially, economically, and environmentally sustainable ways to optimize production of high-quality, accessible food to feed the world's growing population. Further, we need to do this in the face of multiple threats, including climate change, land-use change, and emerging invasive species, pests, and diseases. The “human dimensions” are central to solving critical challenges for working rangelands. We must actively build collaborative partnerships that span disciplines, knowledge areas, and backgrounds. Diverse perspectives as well as greater integration of the natural and social sciences will foster critically needed transformative rangeland science, learning, and management. A central component of transformative change is training the next generation of scientists, resource users, land managers, and policymakers to work beyond institutional, land ownership, and political boundaries to build broad-scale partnerships and solutions.

Riassunto La presenza nell’intestino tenue di un numero anormalmente elevato di alcuni batteri puo essere associata a sintomi digestivi ed eventualmente extradigestivi, situazione chiamata colonizzazione batterica cronica dell’intestino tenue (o Small Intestinal Bacterial Overgrowth [SIBO] in inglese). Ben descritta in rari pazienti con stasi intestinale (in particolare a causa di interventi chirurgici o di gravi disturbi motori dell’intestino), questa situazione potrebbe spiegare anche parte dei sintomi del colon irritabile o del “cervello annebbiato”, e questo e dibattuto tra gli specialisti. La diagnosi di questa disbiosi e difficile da dimostrare, perche i test diretti su campioni di fluido intestinale sono difficili e i test indiretti (soprattutto test respiratori al glucosio e al lattulosio) imperfetti nella loro sensibilita e nella loro specificita. Quando la causa non e curabile, gli antibiotici sono quasi sempre gli unici trattamenti convalidati, ma con un basso livello di evidenza. Nei casi difficili, e utile il consiglio di uno specialista, piuttosto che prescrivere trattamenti ecologici probabilistici a lungo termine.

Guided by ecodevelopmental theories, the present study examined how both culture-specific and general risk and protective factors across contexts predicted trajectories of Latinx youth’s internalizing symptoms during early and middle adolescence. Participants included 547 Latinx youth (M age = 12.80; 55% females) recruited in middle school and followed prospectively across four time points spanning two years. Youth reported on their internalizing symptoms at all four time points, and risk and protective factors were measured at Time 1 (T1). Latent class growth curve modeling was used to examine heterogenous trajectories of change in internalizing symptoms separately for females and males, and risk and protective factors were examined as predictors of class membership. Three classes based on symptom trajectories emerged for both females and males, with most adolescents falling into classes characterized by low symptoms that remained stable or decreased over time. Risk and protective factors were predictive of class membership in theoretically meaningful ways. Some predictors of internalizing symptom trajectories differed between females and males. Findings inform our understanding of factors that influence developmental trajectories in Latinx youth and can contribute to the refinement of prevention and intervention efforts to help ensure the well-being of this population.

Increasing xenophobia may have negative impacts on how Latin American-origin adolescents in the U.S. perceive the future for themselves and their families. Among 340 Latin American-origin 15- to 18-year-olds surveyed in late 2018 through early 2019, this study used phenomenographic content analysis to describe how youth feel about the future for themselves and their family and how these perceptions vary by parent residency status. A theme of negative feelings about the future characterized 75% of responses and represented three sub-themes: fear and worry; blocked opportunities to success; and discrimination. The theme of positive feelings characterized remaining responses with subthemes including confident security; a qualified sense of security; and hope. Compared to adolescents with citizen parents, those with non-citizen parents reported more fear and worry and less confident security.

Objectives This research describes how family immigrant statuses are related to Latino/a adolescents' responses to recent immigration actions and news and, in turn, adolescent adjustment. Method Study 1 included a school-based sample of 11- to 15-year-olds in suburban Atlanta, Georgia (N = 547); Study 2 included a convenience sample of 15- to 18-year-olds in the Washington, DC area (N = 340). Family immigrant status was defined by adolescents' immigrant generation status in Study 1 and by parent residency status in Study 2. In both studies, a 14-item measure assessed responses to recent immigration actions and news, including psychological worries and behavioral withdrawal. Dependent variables included internalizing and externalizing symptoms, suicidal ideation, e-cigarette use, and alcohol use (Study 1), and alcohol use and depressive symptoms (Study 2). Results Psychological worry and behavioral withdrawal responses to immigration actions and news were significantly greater among adolescents with foreign-born, compared to U.S.-born, parents (Study 1), and among adolescents with undocumented, Temporary Protected Status (TPS), or permanent resident parents, as compared to citizen parents (Study 2). Results from tests of indirect effects indicated that these worries and behavioral withdrawal responses were, in turn, associated with higher levels of adolescent internalizing and externalizing symptoms, a higher odds of substance use and suicidal ideation (Study 1), and higher levels of adolescent depressive symptoms (Study 2). Conclusions As 1-quarter of the U.S. child population is Latino/a, there is a need to address immigration threats jeopardizing the adjustment of Latino/a teenagers. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Changes in water mass distribution are considered to be a significant contributor to the atmospheric CO2 concentration drop to around 186 ppm recorded during the Last Glacial Maximum (LGM). Yet simulating a glacial Atlantic Meridional Overturning Circulation (AMOC) in agreement with paleotracer data remains a challenge, with most models from previous Paleoclimate Modelling Intercomparison Project (PMIP) phases showing a tendency to simulate a strong and deep North Atlantic Deep Water (NADW) instead of the shoaling inferred from proxy records of water mass distribution. Conversely, the simulated Antarctic Bottom Water (AABW) is often reduced compared to its pre-industrial volume, and the Atlantic Ocean stratification is underestimated with respect to paleoproxy data. Inadequate representation of surface conditions, driving deep convection around Antarctica, may explain inaccurately simulated bottom water properties in the Southern Ocean. We investigate here the impact of a range of surface conditions in the Southern Ocean in the iLOVECLIM model using nine simulations obtained with different LGM boundary conditions associated with the ice sheet reconstruction (e.g., changes of elevation, bathymetry, and land–sea mask) and/or modeling choices related to sea-ice export, formation of salty brines, and freshwater input. Based on model–data comparison of sea-surface temperatures and sea ice, we find that only simulations with a cold Southern Ocean and a quite extensive sea-ice cover show an improved agreement with proxy records of sea ice, despite systematic model biases in the seasonal and regional patterns. We then show that the only simulation which does not display a much deeper NADW is obtained by parameterizing the sinking of brines along Antarctica, a modeling choice reducing the open-ocean convection in the Southern Ocean. These results highlight the importance of the representation of convection processes, which have a large impact on the water mass properties, while the choice of boundary conditions appears secondary for the model resolution and variables considered in this study.

Background Rapid spread of SARS-CoV-2 has led to a global pandemic, resulting in the need for rapid assays to allow diagnosis and prevention of transmission. Reverse transcription-polymerase chain reaction (RT-PCR) provides a gold standard assay for SARS-CoV-2 RNA, but instrument costs are high and supply chains are potentially fragile, motivating interest in additional assay methods. Reverse transcription and loop-mediated isothermal amplification (RT-LAMP) provides an alternative that uses orthogonal and often less expensive reagents without the need for thermocyclers. The presence of SARS-CoV-2 RNA is typically detected using dyes to report bulk amplification of DNA; however, a common artifact is nonspecific DNA amplification, which complicates detection. Results Here we describe the design and testing of molecular beacons, which allow sequence-specific detection of SARS-CoV-2 genomes with improved discrimination in simple reaction mixtures. To optimize beacons for RT-LAMP, multiple locked nucleic acid monomers were incorporated to elevate melting temperatures. We also show how beacons with different fluorescent labels can allow convenient multiplex detection of several amplicons in “single pot” reactions, including incorporation of a human RNA LAMP-BEAC assay to confirm sample integrity. Comparison of LAMP-BEAC and RT-qPCR on clinical saliva samples showed good concordance between assays. To facilitate implementation, we developed custom polymerases for LAMP-BEAC and inexpensive purification procedures, which also facilitates increasing sensitivity by increasing reaction volumes. Conclusions LAMP-BEAC thus provides an affordable and simple SARS-CoV-2 RNA assay suitable for population screening; implementation of the assay has allowed robust screening of thousands of saliva samples per week.

In 2016-17, shellfish harvesting closed for the first time in Narragansett Bay, Rhode Island, USA, from domoic acid (DA), a neurotoxin produced by diatoms of the Pseudo-nitzschia genus. Pseudo-nitzschia have occurred frequently for over 60 years in Narragansett Bay’s Long-Term Plankton Time Series (NBPTS), therefore it is surprising that the first closure only recently occurred. Pseudo-nitzschia species are known to vary in their toxin production, thus species identification is critical for understanding the underlying ecological causes of these harmful algal blooms (HABs). DNA in plankton biomass can be preserved for many years, so molecular barcoding of archived samples is useful for delineation of taxa over time. This study used amplification of the Pseudo-nitzschia-specific 18S-5.8S rDNA internal transcribed spacer region 1 (ITS1) in plankton samples and high throughput sequencing to characterize Pseudo-nitzschia species composition over a decade in Narragansett Bay, including eight years before the 2016-17 closures and two years following. This metabarcoding method can discriminate nearly all known Pseudo-nitzschia species. Several species recur as year-round residents in Narragansett Bay (P. pungens var. pungens, P. americana, P. multiseries, and P. calliantha). Various other species increased in frequency after 2015, and some appeared for the first time during the closure period. Notably, P. australis, a species prevalent in US West Coast HABs and known for high DA production, was not observed in Narragansett Bay until the 2017 closure but has been present in several years after the closures. Annual differences in Pseudo-nitzschia composition were correlated with physical and chemical conditions, predominantly water temperature. The long-term composition trends of Pseudo-nitzschia in Narragansett Bay serve as a baseline for identifying the introduction of new species, understanding shifting assemblages that contributed to the 2016-17 closures, and monitoring species that may be cause for future concern.

Antimicrobials such as nanoparticles and biocides are used to control microbial growth. We used Escherichia coli to study the process of acquired resistance to silver nanoparticles (Ag-NP) and the industrial biocide DBNPA when grown in sub-MICs. We determined the MICs of these two antimicrobials against E. coli. We then performed an experimental evolution study where E. coli was grown in subinhibitory concentrations of the antimicrobials and transferred 10 times. We then tracked the changes in growth characteristics, lactate dehydrogenase (LDH) activity, reactive oxidative species (ROS) production, and the role of efflux pumps in conferring resistance. We also performed genome sequencing to determine the genetic basis for acquired resistance. Our results showed that E. coli could rapidly develop resistance to Ag-NP and DBNPA after growth in low concentrations of the antimicrobials. The expression of efflux pumps plays a vital role in both Ag-NP and DBNPA resistance. Multiple mutations occurred in the adapted strains that may confer resistance to both Ag-NP and DBNPA. Our study provides insights into mechanisms of adaptation and resistance to antimicrobials. Our results suggest that there are some shared mechanisms to resist nanoparticles and biocides as well as some key differences. The mechanism of resistance to Ag-NP might be related to flagellin production, while efflux pumps seem to be associated with resistance to DBNPA. This work provides a comparative study of the mechanisms of acquired resistance to these two types of antimicrobials.

Predictions begin with an extrapolation of the properties of their underlying representations to forecast a future state not presently in evidence. For numerical predictions, sets of numbers are summarized and the result forms the basis of and constrains numerical predictions. One open question is how the accuracy of underlying representations influences predictions, particularly numerical predictions. It is possible that inaccuracies in individual number representations are randomly distributed and averaged over during summarization (e.g., wisdom of crowds). It is also possible that inaccuracies are not random and lead to errors in predictions. We investigated this question by measuring the accuracy of individual number representations of 279 children ages 8–12 years, using a 0–1,000 number line, and numerical predictions, measured using a home run derby task. Consistent with prior research, our results from mixed random effects models evaluating percent absolute error (PAE; prediction error) demonstrated that third graders’ representations of individual numbers were less accurate, characterized by overestimation errors, and were associated with overpredictions (i.e., predictions above the set mean). Older children had more accurate individual number representations and a slight tendency to underpredict (i.e., predictions below the set mean). The results suggest that large, systematic inaccuracies appear to skew predictions while small, random errors appear to be averaged over during summarization. These findings add to our understanding of summarization and its role in numerical predictions.

One's ability to express confidence is critical to achieve one's goals in a social context—such as commanding respect from others, establishing higher social status, and persuading others. How individuals perceive confidence may be shaped by the socio-indexical cues produced by the speaker. In the current production/perception study, we asked four speakers (two cisgender women/men) to answer trivia questions under three speaking contexts: natural, overconfident, and underconfident (i.e., lack of confidence). An evaluation of the speakers' acoustics indicated that the speakers significantly varied their acoustic cues as a function of speaking context and that the women and men had significantly different acoustic cues. The speakers' answers to the trivia questions in the three contexts (natural, overconfident, underconfident) were then presented to listeners ( N = 26) in a social judgment task using a computer mouse-tracking paradigm. Listeners were sensitive to the speakers' acoustic modulations of confidence and differentially interpreted these cues based on the perceived gender of the speaker, thereby impacting listeners' cognition and social decision making. We consider, then, how listeners' social judgments about confidence were impacted by gender stereotypes about women and men from social, heuristic-based processes.

Extreme precipitation poses a major challenge for local governments, including the City and County of San Francisco, California, as flooding can damage and destroy infrastructure and property. As the climate continues to warm, reliable future precipitation projections are needed to provide the best possible information to decision makers. However, future changes in the magnitude of extreme precipitation are uncertain, as current state-of-the-art global climate models are typically run at relatively coarse horizontal resolutions that require the use of convective parameterization and have difficulty simulating observed extreme rainfall rates. Here, we performed ensembles of convection-permitting regional climate model simulations to investigate how five historically impactful extreme precipitation events over the San Francisco Bay Area could change if similar events occurred in future climates. We found that changes in storm-total precipitation depend strongly on storm type. Precipitation associated with an atmospheric river (AR) accompanied by an extratropical cyclone (ETC) is projected to increase at a rate exceeding (by up to 1.5 times) the theoretical Clausius Clapeyron scaling of 6–7% per °C warming. On the other hand, future precipitation changes are weak or negative for events characterized by an AR only, despite increases in precipitable water and integrated vapor transport that are similar to those of the co-occurring AR and ETC events. The differences in the sign of future precipitation change between AR-only events and co-occurring AR and ETC events is instead linked with changes in mid-tropospheric vertical velocity. Given that the majority of observed ARs are associated with an ETC, this research has important implications for future precipitation impacts over the Bay Area, as it indicates that storm-total precipitation associated with the most common type of storm event may increase by up to 26–37% in 2100 relative to historical.