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MESA and GYRE inlists to reproduce the results of "Pulsational instability of pre-main sequence models from accretingprotostars I. Constraining the input physics for accretion with spectroscopic parameters and stellar pulsations"

In 2015, the Natural Sounds and Night Skies Division (NSNSD) received a request to collect baseline acoustical data at Mesa Verde National Park (MEVE). Between July and August 2015, as well as February and March 2016, three acoustical monitoring systems were deployed throughout the park, however one site (MEVE002) stopped recording after a couple days during the summer due to wildlife interference. The goal of the study was to establish a baseline soundscape inventory of backcountry and frontcountry sites within the park. This inventory will be used to establish indicators and thresholds of soundscape quality that will support the park and NSNSD in developing a comprehensive approach to protecting the acoustic environment through soundscape management planning. Additionally, results of this study will help the park identify major sources of noise within the park, as well as provide a baseline understanding of the acoustical environment as a whole for use in potential future comparative studies. In this deployment, sound pressure level (SPL) was measured continuously every second by a calibrated sound level meter. Other equipment included an anemometer to collect wind speed and a digital audio recorder collecting continuous recordings to document sound sources. In this document, “sound pressure level” refers to broadband (12.5 Hz–20 kHz), A-weighted, 1-second time averaged sound level (LAeq, 1s), and hereafter referred to as “sound level.” Sound levels are measured on a logarithmic scale relative to the reference sound pressure for atmospheric sources, 20 μPa. The logarithmic scale is a useful way to express the wide range of sound pressures perceived by the human ear. Sound levels are reported in decibels (dB). A-weighting is applied to sound levels in order to account for the response of the human ear (Harris, 1998). To approximate human hearing sensitivity, A-weighting discounts sounds below 1 kHz and above 6 kHz. Trained technicians calculated time audible metrics after monitoring was complete. See Methods section for protocol details, equipment specifications, and metric calculations. Median existing (LA50) and natural ambient (LAnat) metrics are also reported for daytime (7:00–19:00) and nighttime (19:00–7:00). Prominent noise sources at the two backcountry sites (MEVE001 and MEVE002) included vehicles and aircraft, while building and vehicle predominated at the frontcountry site (MEVE003). Table 1 displays time audible values for each of these noise sources during the monitoring period, as well as ambient sound levels. In determining the current conditions of an acoustical environment, it is informative to examine how often sound levels exceed certain values. Table 2 reports the percent of time that measured levels at the three monitoring locations were above four key values.

As part of the NASA SnowEx 2020 campaign, we performed a time series experiment with NASA's UAVSAR, an airborne L-band InSAR, over 13 sites across 5 states. Six flights were performed (December-March), capturing a wide range of snow conditions. On Grand Mesa, Colorado, two of the InSAR overflights were well aligned with two airborne lidar surveys. We show that in a 4 km2 wind exposed area on the west end of Grand Mesa, the measured change in phase can be used to estimate change in snow depth. In this region we observed both scouring and drifting, with a dynamic range of ± 20 cm. We use the measured surface density, change in phase, and local incidence angle to estimate change in snow depth over approximately a 2 week period, with a RMSD of 4.7cm depth, and 0.9cm SWE. This technique shows promise in open regions in dry snow conditions, and may be a useful component of a global snow satellite concept.

Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease (COPD), and is traditionally subcategorized into three subtypes previously identified on autopsy. Unsupervised learning of emphysema subtypes on computed tomography (CT) opens the way to new definitions of emphysema subtypes and eliminates the need of thorough manual labeling. However, CT-based emphysema subtypes have been limited to texture-based patterns without considering spatial location. In this work, we introduce a standardized spatial mapping of the lung for quantitative study of lung texture location and propose a novel framework for combining spatial and texture information to discover spatially-informed lung texture patterns (sLTPs) that represent novel emphysema subtype candidates. Exploiting two cohorts of full-lung CT scans from the MESA COPD (n = 317) and EMCAP (n = 22) studies, we first show that our spatial mapping enables population-wide study of emphysema spatial location. We then evaluate the characteristics of the sLTPs discovered on MESA COPD, and show that they are reproducible, able to encode standard emphysema subtypes, and associated with physiological symptoms.

Objectives This study sought to assess the association of baseline left atrial (LA) phasic function measured with cardia magnetic resonance (CMR) and incident ischemic cerebrovascular events (CVE). Background LA remodeling is a known predictor of atrial fibrillation (AF), which is a risk factor for ischemic CVE. Despite studies showing an association between LA remodeling and ischemic CVE, the association of LA mechanical function with ischemic CVE in a population free of known cardiovascular disease is not fully studied. Methods Phasic LA volumes; total, passive, and active LA emptying fractions (LAEF); and peak longitudinal LA strain were measured using feature-tracking CMR in 4,261 MESA (Multi-Ethnic Study of Atherosclerosis) participants (61 ± 10 years of age; 48% male). All individuals were free of clinical cardiovascular disease at baseline. Participants were followed for 11.6 ± 3.5 years for the diagnosis of incident ischemic CVE, defined as ischemic stroke or transient ischemic attack adjudicated by vascular neurologists. Results During the follow-up, 193 (1.26 per 1,000 person-years) ischemic CVE (134 ischemic strokes and 59 TIAs) occurred. Individuals with incident ischemic CVE had larger LA volumes and lower passive, active, and total LAEFs at baseline. In multivariate analysis adjusted for known CVE risk factors, left ventricular mass and interim AF, total LAEF was associated with incident ischemic CVE (hazard ratio [HR]: 0.85 per SD; 95% confidence interval [CI]: 0.74 to 0.98; p = 0.027). The unadjusted HR for the lowest tertile of total LAEF compared to the highest tertile was 2.0 (95% CI: 1.43 to 2.79; p Conclusions Reduced total LAEF was associated with incident ischemic CVE independent of known cerebrovascular risk factors and incident AF. Assessment of LA function may add further information in stratifying asymptomatic individuals at risk for ischemic stroke.

Exponential Random Graph Models (ERGMs) are an increasingly common tool for inferential network analysis. However, a potential problem for these models is the assumption of correct model specification. Through six substantive applications (Mesa High, Florentine Marriage, Military Alliances, Militarized Interstate Disputes, Regional Planning, Brain Complexity), we illustrate how unobserved heterogeneity and confounding leads to degenerate model specifications, inferential errors, and poor model fit. In addition, we present evidence that a better approach exists in the form of the Frailty Exponential Random Graph Model (FERGM), which extends the ERGM to account for unit or group-level heterogeneity in tie formation. In each case, the ERGM is prone to producing inferential errors and forecasting ties with lower accuracy than the FERGM.

Frameworks derived from evolutionary ecology are often applied to hunter-gatherers but less often to societies representing the transition to agriculture. Our case study of Mesa Verde subsistence u...

The correlation between cardiovascular risk scoring systems and the severity of coronary artery diseases (CAD) is not clear. The present research aimed to evaluate the Multi-Ethnic Study of Atherosclerosis (MESA) risk score and Framingham risk score (FRS), using the Gensini score (GS) system as reference, so as to determine which model is better for the prediction of CAD severity.This research was a single-center and cross-sectional observational study. In total, 1423 patients were included in our study. Three different groups were formed according to GS: 0 GS ≤ 22 (low GS group, n = 484); 22 GS ≤ 42 (intermediate GS group, n = 468); GS 42 (high GS group, n = 471). Logistic and linear regression analyses were carried out to explore the relationship between the risk score models and the GS. The performance of the risk models was determined by receiver operating characteristic curve (ROC) analysis.The MESA risk score and the FRS both had a statistically significant power for the prediction of CAD severity (MESA area under curve: 0.630; FRS area under curve: 0.613). Furthermore, the MESA had a better performance in predicting the severity (p 0.05) of CAD compared with the FRS. In the subgroup analysis, the MESA showed a better performance in the male (p 0.05), diabetes mellitus (p 0.05), and smoking subgroups (p 0.05) compared with the FRS.The MESA and FRS predicted the severity of CAD in the Chinese population of this study. Moreover, the MESA had a better performance than the FRS model in predicting the severity of CAD in the overall population as well as in the male, smoking, diabetes, and non-diabetes subgroups.

The paper presents the results of the research and initial analysis of the rock art from the Castle Rock Community, a cluster of Ancestral Pueblo sites, dated to the thirteenth century A.D. and located in southwestern Colorado, in the heart of the Mesa Verde region. The rock art in the area is represented by anthropomorphic figures (shamans or warriors) from the Basketmaker II period, but most of the rock art is from the Pueblo III period (1150-1280/1300 A.D.) and encompasses geometric designs as well as fighting scenes. The interpretation of the meaning and function of the rock art is rather difficult, but some depictions might be interpreted as clan symbols, watermarks, or as solar/lunar markers connected with astronomical observations. On almost every panel of rock art or close to it, historic inscriptions, initials, names and dates are also present. Most of the ancient rock art is located within the site’s (cliff dwellings) boundaries or very close to them, but certainly some paintings and petroglyphs are much older than the thirteenth century A.D. settlements. Este artículo presenta los resultados de la investigación y un análisis inicial del arte rupestre y murales del grupo de sitios del Pueblos Ancestrales, la llamada Comunidad de Castle Rock, fechada en el siglo XIII dC (período Pueblo III Tardío) y ubicada en la localización de Lower Sand Canyon (Sand Canyon Bajo) en el corazón de la región Mesa Verde central, Colorado (USA). El arte rupestre de esta área está representado en los petroglifos y pinturas de la cultura del Antiguo Pueblo y las representaciones más antiguas son de las figuras antropomórficas (posiblemente chamanes o guerreros) del período Basketmaker III; otros motivos incluyen en mayoría diseños geométricos, las huellas de pájaros, círculos concéntricos, espirales y huellas de manos o pies. La investigación abarca también un panel con escena de lucha y otros ejemplos del arte rupestre ubicados en el centro de la comunidad de Castle Rock Pueblo. La mayoría del arte rupestre esta ubicada dentro de los límites del sitio o muy cerca de ellos, pero algunas de las pinturas y petroglifos casi seguro son más antiguos que los edificios del siglo XIII del período Pueblo III Tardío.

We report on the effect of the beveled mesa angle on the performance of 4H-SiC avalanche photodiodes (APDs) with various active areas between 100 and 500 µm. The mesa structure was beveled with a smaller slope angle by using a photoresist reflow technique to suppress edge breakdown. Some beveled mesa APDs with a small angle of 10.5° were studied using high-resolution transmission electron microscopy and an electrical and optical measurement system compared with APDs with large slope angles of 28.5°. The study results show that a small-slope beveled mesa APD shows more uniform dark current level in the linear region, regardless of the active area with a sharp breakdown, and a lower dark count rate than the larger slope-angle APD.

An important and difficult problem in the agricultural business is not only the production of crop and livestock products, but also their processing. Agricultural business has a great impact on the country’s economy in modern times. In the conditions of the modern market, there is an increasing demand for the study of the theory and practice of management accounting and its features in relation to a specific target audience. Among the variety of agricultural organizations that has emerged, the most important is to determine priorities in improving our own business in order to increase its efficiency and uniqueness. For reliable information and analytical support for agricultural business and management decisions, it is necessary to keep management records in organizations (production accounting, budgeting, management, planning, analysis, evaluation, abstraction, etc.). At the present stage of economic relations between business entities, it can be said that the success of any agricultural business depends largely on management accounting, which should point to the advantages, novelty and main features of the business that distinguish it from its competitors in the field of agriculture. The success of management accounting, as an instrument of the entire business mechanism of an economic entity, is currently determined by three main factors: purposefulness; systematic character; and clearly defined quality of information provision for management decision-making. Any management decision made in the agricultural business should be based on timely analyzed information on the macro environment, the environment and the microenvironment. Thus, management accounting gives impetus to the development of agricultural business on the basis of the studied factors.

The evidence linking low-carbohydrate diets to cardiovascular disease is controversial, and results from epidemiologic studies are inconsistent. We aimed to assess the relationship between low-carbohydrate-diet (LCD) patterns and coronary artery calcium (CAC) scores from computed tomography in the MESA cohort. Our sample included 5,614 men and women free of clinical cardiovascular disease at baseline (2000–2002) who had a food frequency questionnaire, a baseline measure and ≥1 measure of CAC during follow-up. We excluded those with implausible energy intake or daily physical activity. The overall, animal-based, and plant-based LCD scores were calculated based on intakes of macronutrients. Relative risk regression and robust regression models were used to examine the cross-sectional and longitudinal relationship between LCD score quintile and CAC outcomes, after adjustment for multiple cardiovascular risk factors. The mean age of participants was 63 years. The median intakes of total carbohydrate, fat, and protein were 53.7%, 30.5%, and 15.6% energy/d, respectively. Among 2,892 participants with zero CAC scores at baseline, 264 developed positive scores during 2.4-year follow-up (11–59 months). Among those with positive scores at baseline, the median increase in CAC was 47 units over the course of follow-up. Neither the overall, nor the animal-based nor the plant-based LCD scores were associated with CAC prevalence, incidence, and progression. In conclusion, diets low in carbohydrate and high in fat and/or protein, regardless of the sources of protein and fat, were not associated with higher levels of CAC, a validated predictor of cardiovascular events, in this large multi-ethnic cohort.

Background and aimsWe aimed to determine the utility of coronary artery calcium (CAC) for atherosclerotic cardiovascular disease (ASCVD) risk stratification in women with and without early menopause (EM).MethodsTo examine the association between CAC and incident ASCVD, we performed Kaplan-Meier survival analysis and multivariable Cox proportional hazards modeling using data from 2,456 postmenopausal women in the Multi-Ethnic Study of Atherosclerosis (MESA) with or without EM, defined as occurring at 50% of middle-aged postmenopausal women with EM had CAC=0, similar to those without EM. Among women with CAC= 0, those with EM had a low to borderline 10-year risk of ASCVD, but the 15-year risk was significantly higher for women with EM versus those without EM. When CAC ≥ 1, the incidence of ASCVD was similar for women with and without EM. These findings support the use of CAC to help improve ASCVD risk stratification in women with EM.Condensed abstractThis study investigated the association between coronary artery calcium (CAC) and incident atherosclerotic cardiovascular disease (ASCVD) in postmenopausal women with and without early menopause (EM). We found that >50% of women had CAC= 0 and an associated low-to-borderline 10-year cumulative incidence of ASCVD. However, the risk for ASCVD was significantly higher for women with EM after 15-years follow-up. Additional research is needed to better understand the differences in long-term ASCVD risk between women with and without EM who have CAC= 0.

Background It is unclear if statin therapy in midlife can restore low cardiovascular risk in hypercholesterolemic individuals. Methods and Results At baseline, we grouped 5687 MESA (Multi‐Ethnic Study of Atherosclerosis) participants aged ≥50 years without clinical cardiovascular disease (CVD) by Adult Treatment Panel III statin treatment recommendation and statin treatment status. We used Cox regression to compare the risks for coronary heart disease and CVD between the untreated group with low‐density lipoprotein cholesterol (LDL‐C) 0 Agatston units), and statin status (untreated or treated) with the untreated LDL‐C 0 Agatston units, treated to LDL‐C Conclusions Individuals treated with statins to LDL‐C 0 Agatston units have substantially higher risks despite lipid‐lowering therapy, suggesting that statin treatment in midlife may not restore a low‐risk state in primary prevention patients with established coronary atherosclerosis.

Introduction: Increasing research demonstrates psychosocial factors are associated with blood pressure control (BPC) among individuals with hypertension. To date, little research has examined multiple psychosocial factors simultaneously to identify distinguishing profiles among individuals with hypertension. The association of psychosocial profiles and BPC remains unknown. Thus, the goal of this study was to characterize the psychosocial profiles of individuals with hypertension and assess whether they are associated with BPC over 14 years. Hypothesis: We hypothesize that discrete psychosocial profiles will emerge, and they will be associated with BPC longitudinally. Methods: We included 2,665 MESA participants (38.57% Black; 55.43% Female) with prevalent hypertension in 2002-2004. Latent Profile Analysis (LPA) was used to identify distinct psychosocial profiles based on a combination of nine psychosocial variables (Table). We used generalized estimating equations to determine associations of the psychosocial profiles with BPC, defined as systolic blood pressure (SBP) < 140 mm Hg and diastolic blood pressure (DBP) < 90 mm Hg. Results: The LPA revealed an optimal model of three psychosocial profile groups (AIC 121,229; entropy = .88) namely “Healthy”, “Depressed Mood” and “Discriminated Against”. There were no significant differences in BPC of both targets (SBP and DBP) combined across the profiles. Examining SBP and DBP separately, participants in the “Depressed Mood” profile group were 60% less likely [95% CI: 0.43, 0.84] to have their DBP < 90 mm Hg as compared to the “Healthy” profile in the unadjusted model, but there was no association with covariate adjustment. Conclusions: Discrete psychosocial profiles exist among individuals with hypertension, but were not associated with BPC after full covariate adjustment.

Most nutritional epidemiology studies investigating trends between diet and heart disease use outcome-independent dimension reduction methods, like principal component analysis, to create dietary patterns. While these methods construct patterns that describe important aspects of food consumption, these patterns are not inherently related to heart disease. Incorporating disease data into the pattern construction offers the possibility of more concisely summarizing the most disease-related foods. Sparse partial least squares (SPLS), one such method, was found to have favorable interpretation and prediction properties in the continuous outcome setting; while selecting a subset of relevant foods, it constructed a few dietary patterns that were correlated with BMI while also capturing variation in diet composition. These results were validated with simulated data. We propose incorporating SPLS into the Cox proportional hazards model to analyze a right-censored survival outcome. We hypothesized that this method would inherit the beneficial parsimony properties seen in the continuous setting, and we assessed whether this proposed method could use the most relevant covariates to create a few patterns that were associated with a survival outcome. While the proposed method targets covariate-level sparsity (i.e. variable selection), one competitor method exists that integrates pattern-level parsimony and partial least squares (PLS) in the Cox model, but it imposes more model parameters than the proposed method. We compared the variable selection, pattern selection, and predictive performance of four survival methods (Lasso, PLS, competitor sparse PLS, and proposed SPLS) via a simulation study. Simulation settings were informed in part by the Multi-Ethnic Study of Atherosclerosis (MESA), which has detailed food frequency questionnaire data on a large multi-ethnic population-based sample (6814 participants aged 45-84), as well as subsequent cardiovascular disease follow-up for over 15 years. In most studied simulation settings, the proposed method selected all 9 relevant predictors and the fewest number of irrelevant predictors (of 15) while creating a similar number of patterns and maintaining predictive ability of the outcome. In the setting most comparable to MESA, PLS chose all 24 predictors (by default) and 3.4 patterns (C-statistic=0.90), the competitor SPLS selected 21.1 predictors and 4.4 patterns (C-statistic=0.91), Lasso chose 16.4 predictors (C-statistic=0.91), and the proposed SPLS selected 11.7 predictors and 4.3 patterns (C-statistic=0.91), on average. We will also present an analysis of a coronary event in MESA using these four survival methods. In conclusion, we propose that using methods like SPLS to summarize food intake can create more heart disease-tailored dietary patterns that can complement the current nutritional epidemiology literature.

Background High blood pressure (BP) is a well‐known risk factor for atrial fibrillation (AF), but a single BP measurement may provide limited information about AF risk in older adults. Methods and Results This study included 1256 MESA (Multi‐Ethnic Study of Atherosclerosis) and 1948 ARIC (Atherosclerosis Risk in Communities) study participants who underwent extended ambulatory electrocardiographic monitoring and who were free of clinically detected cardiovascular disease, including AF. Using BP measurements from 6 examinations (2000–2018 in MESA and 1987–2017 in ARIC study), we calculated individual long‐term mean, trend, and detrended visit‐to‐visit variability in systolic BP and pulse pressure for each participant. Outcomes, assessed at examination 6, included subclinical AF and supraventricular ectopy. Results from each study were combined with inverse variance‐weighted meta‐analysis. At examination 6, the mean age was 73 years in MESA and 79 years in ARIC study, and 4% had subclinical AF. Higher visit‐to‐visit detrended variability in systolic BP was associated with a greater prevalence of subclinical AF (odds ratio [OR], 1.20; 95% CI, 1.02–1.38) and with more premature atrial contractions/hour (geometric mean ratio, 1.08; 95% CI, 1.01–1.15). For pulse pressure as well, higher visit‐to‐visit detrended variability was associated with a greater prevalence of AF (OR, 1.18; 95% CI, 1.00–1.37). In addition, higher long‐term mean pulse pressure was associated with a greater prevalence of subclinical AF (OR, 1.36; 95% CI, 1.08–1.70). Conclusions Antecedent visit‐to‐visit variability in systolic BP and pulse pressure, but not current BP, is associated with a higher prevalence of subclinical atrial arrhythmias. Prior longitudinal BP assessment, rather than current BP, may be more helpful in identifying older adults who are at higher risk of atrial arrhythmias.

A casa onde moramos, desponta como lugar seguro em tempo de isolamento social. Mas ela é, por tradição, um espaço eclesial que abriga a Igreja doméstica e sua liturgia. No centro da casa está a mesa da comunhão diária, sustentada pela partilha da refeição, pela convivência, pela memória das tantas refeições que Jesus fez com os seus.

BackgroundThere is growing interest in utilizing machine learning techniques for routine atherosclerotic cardiovascular disease (ASCVD) risk prediction. We investigated whether novel deep learning survival models can augment ASCVD risk prediction over existing statistical and machine learning approaches.Methods6,814 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) were followed over 16 years to assess incidence of all-cause mortality (mortality) or a composite of major adverse events (MAE). Features were evaluated within the categories of traditional risk factors, inflammatory biomarkers, and imaging markers. Data was split into an internal training/testing (four centers) and external validation (two centers). Both machine learning (COXPH, RSF, and lSVM) and deep learning (nMTLR and DeepSurv) models were evaluated.ResultsIn comparison to the COXPH model, DeepSurv significantly improved ASCVD risk prediction for MAE (AUC: 0.82 vs. 0.79, P≤0.001) and mortality (AUC: 0.86 vs. 0.80, P≤0.001) with traditional risk factors alone. Implementing non-categorical NRI, we noted a 65% increase in correct reclassification compared to the COXPH model for both MAE and mortality (P≤0.05). Assessing the relative risk of participants, DeepSurv was the only learning algorithm to develop a significantly improved risk score criteria, which outcompeted COXPH for both MAE (4.07 vs. 2.66, P≤0.001) and mortality (6.28 vs. 4.67, P=0.014). The addition of inflammatory or imaging biomarkers to traditional risk factors showed minimal/no significant improvement in model prediction.ConclusionDeepSurv can leverage simple office-based clinical features alone to accurately predict ASCVD risk and cardiovascular outcomes, without the need for additional features, such as inflammatory and imaging biomarkers.

The morphology of the proximal human airway tree is highly variable in the general population, and known variants in airway branching patterns are associated with increased risk of COPD and with polymorphisms in growth factors involved in pulmonary development. Variation in the geometry and topology of the airway tree remains incompletely characterized, and their clinical implications are not yet understood. In this work, we present an approach to unsupervised clustering of airway tree structures in Billera-Holmes-Vogtmann tree-space. We validate our pipeline on synthetic airway tree data, and apply our algorithm to identify reproducible and morphologically distinct airway tree subtypes in the MESA Lung CT cohort.

ObjectiveTo determine the prevalence, risk factors and natural history of hiatal hernia (HH) on CT in the general population.Materials and methodsThe Multi-Ethnic Study of Atherosclerosis (MESA) acquired full-lung CT on 3200 subjects, aged 53–94 years. Three blinded observers independently determined presence/absence and type (I–IV) of HH. Associations between HH and participant characteristics were assessed via unadjusted and multivariable-adjusted relative risk regression. HH natural history was assessed compared with prior MESA CT.ResultsExcellent interobserver agreement was found for presence (κ=0.86) and type of HH (κ=0.97). Among 316 HH identified (prevalence=9.9%), 223 (71%) were type I and 93 (29%) were type III. HH prevalence increased with age, from 2.4% in 6th decade to 16.6% in 9th decade (unadjusted prevalence ratio (PR)=1.1 (95% CI 1.04 to 1.1)). HH prevalence was greater in women (12.7%) than men (7.0%) (unadjusted PR=1.8 (95% CI 1.5 to 2.3)) and associated with proton pump inhibitor use (p2 to 17.9 cm2 (p=0.02) with a higher mean body mass index (BMI) in subjects with increasing HH size compared with HH decreasing in size: mean BMI=30.2±6.2 vs 26.8±7.2 (p=0.02).ConclusionHH on non-contrast CT is prevalent in the general population, increasing with age, female gender and BMI. Its association with proton pump inhibitor use confirms a role in gastro-oesophageal reflux disease and HH progression is associated with increased BMI.Trial registration numberNCT00005487.

In this work, we report the discovery of the rapidly evolving high-amplitude $\delta$ Scuti star KIC 6382916 (J19480292+4146558) which is crossing the Hertzsprung gap. According to the analysis of the archival data, we find three independent pulsation modes, whose amplitudes and frequencies vary distinctly in 4 years. The linear period variation rates of the first two modes are about 3-4 times larger than the best seismic model constructed by the standard evolution theory, while that of the third one is about 8 times larger than the first two modes. What is more interesting is that, almost all the combinations of the third mode have frequency peaks $0.0815\ \mathrm{c\ d}^{-1}$ away from them in the frequency domain. A framework is proposed to interpret the markedly large frequency and amplitude variation rates of the third mode, in which we employ a new pulsation mode (resonating integration mode) generated by the resonance between a radial p-mode and a nonradial mixed mode. Moreover, a global analysis of the interactions between the three independent pulsation modes and their harmonics/combinations is performed based on the interaction diagrams of their amplitudes and phases, which would be a useful tool for the future asteroseismology research., Comment: 34 pages, 17 figures, 6 tables. ApJL published

Background Given the increasing prevalence of diabetes mellitus (DM) in the United States, estimating the effects of population‐level increases in obesity on incident DM has substantial implications for public health policy. Therefore, we determined the population attributable fraction, which accounts for the prevalence and excess risk of DM associated with obesity. Methods and Results We included non‐Hispanic White, non‐Hispanic Black, and Mexican American participants without DM at baseline from MESA (Multi‐Ethnic Study of Atherosclerosis) with available data on body mass index and key covariates from 2000 to 2017 to calculate unadjusted and adjusted (age, study site, physical activity, diet, income, and education level) hazard ratios (HR) for obesity‐attributable DM. We calculated national age‐adjusted prevalence estimates for obesity using data from NHANES (National Health and Nutrition Examination Survey) in 4 pooled cycles (2001–2016) among adults with similar characteristics to MESA participants. Last, we calculated unadjusted and adjusted population attributable fractions from the race/ethnic and sex‐specific HR and prevalence estimates. Of 4200 MESA participants, the median age was 61 years, 46.8% were men, 53.9% were non‐Hispanic White, 32.9% were non‐Hispanic Black, and 13.3% were Mexican. Among MESA participants, incident DM occurred in 11.6% over a median follow‐up of 9.2 years. The adjusted HR for obesity‐related DM was 2.7 (95% CI, 2.2–3.3). Adjusted population attributable fractions were 0.35 (95% CI, 0.29–0.40) in 2001 to 2004 and 0.41 (95% CI, 0.36–0.46) in 2013 to 2016, and greatest among non‐Hispanic White women. Conclusions The contribution of obesity towards DM in the population remains substantial and varies significantly by race/ethnicity and sex, highlighting the need for tailored public health interventions to reduce obesity. Registration URL: https://www.clinicaltrials.gov ; Unique identifiers: NC00005487, NCT00005154.

Citrus Huanglongbing (HLB) disease or citrus greening is caused by Candidatus Liberibacter asiaticus (Las) and is the most devastating disease in the global citrus industry. Salicylic acid (SA) plays a central role in regulating plant defenses against pathogenic attack. SA methyltransferase (SAMT) modulates SA homeostasis by converting SA to methyl salicylate (MeSA). Here, we report on the functions of the citrus SAMT (CsSAMT1) gene from HLB-susceptible Wanjincheng orange (Citrus sinensis (L.) Osbeck) in plant defenses against Las infection. The CsSAMT1 cDNA was expressed in yeast. Using in vitro enzyme assays, yeast expressing CsSAMT1 was confirmed to specifically catalyze the formation of MeSA using SA as a substrate. Transgenic Wanjincheng orange plants overexpressing CsSAMT1 had significantly increased levels of SA and MeSA compared to wild-type controls. HLB resistance was evaluated for two years and showed that transgenic plants displayed significantly alleviated symptoms including a lack of chlorosis, low bacterial counts, reduced hyperplasia of the phloem cells, and lower levels of starch and callose compared to wild-type plants. These data confirmed that CsSAMT1 overexpression confers an enhanced tolerance to Las in citrus fruits. RNA-seq analysis revealed that CsSAMT1 overexpression significantly upregulated the citrus defense response by enhancing the transcription of disease resistance genes. This study provides insight for improving host resistance to HLB by manipulation of SA signaling in citrus fruits.