Miracle-dz/UniFAR-FTUs huggingface dataset:
Fish oil supplementation fails to modulate indices of muscle damage and muscle repair during acute recovery from eccentric exercise in trained young males

ABSTRACT We aimed to investigate the influence of 4-wk of fish oil (FO) supplementation on markers of muscle damage, inflammation, muscle soreness, and muscle function during acute recovery from eccentric exercise in moderately trained males. Sixteen moderately-trained males ingested 5 g/d of FO (n = 8) or soybean oil (placebo) capsules (n = 8) for 4-wk prior to- and 3-d following an acute eccentric exercise bout. Eccentric exercise consisted of 12 sets of isokinetic knee extension and knee flexion. Indices of muscle damage, soreness, function and inflammation were measured at baseline and during exercise recovery. Eccentric exercise elicited an increase in muscle soreness (p < 0.010) and thigh volume (p < 0.001), and reduced peak isometric torque by 31.7 ± 6.9%, (p < 0.05, 95% CI 10.6–52.8) during 3-d of recovery. Blood omega-3 polyunsaturated fatty acid concentration was 14.9 ± 2.4% higher in FO than PLA (p < 0.01, 95% CI 9.8–20.1). However, FO did not ameliorate the cumulative creatine kinase response (expressed as AUC; p = 0.368), inflammation (p = 0.400), muscle soreness (p > 0.140), or muscle function (p > 0.249) following eccentric exercise. FO supplementation confers no clear benefit in terms of ameliorating the degree of muscle damage, or facilitating the muscle repair process, during acute eccentric exercise recovery. These data suggest that FO supplementation does not provide an effective nutritional strategy to promote exercise recovery, at least in moderately-trained young men. Abbreviations: ANOVA: Analysis of variance; AUC: Area under curve; CI: Confidence interval; CK: Creatine kinase; CMJ: Countermovement jump; COX: Cyclooxygenase; CRP: C-reactive protein; DHA: Docosahexaenoic acid; DOMS: Delayed-onset muscle soreness; EIMD: Exercise-induced muscle damage; En%: Energy percent; EPA: Eicosapentaenoic acid; FO: Fish oil; IL-6: Interleukin-6; LDH: Lactate dehydrogenase; LOX: Lipoxygenase; Mb: Myoglobin; mTOR: Mechanistic target of rapamycin; PLA: Placebo; ROM: Range of motion; ROS: Reactive oxygen species; SD: Standard deviation; SEM: Standard error of the mean; TNF-α: Tumour necrosis factor alpha; VAS: Visual analogue scale; Ω3-PUFA: Omega-3 polyunsaturated fatty acids; Ω6-PUFA: Omega-6 polyunsaturated fatty acids Highlights The anti-inflammatory properties of omega-3 polyunsaturated fatty acids, alongside their propensity to incorporate into the muscle phospholipid membrane underpins the idea that fish oil supplementation may attenuate muscle damage and promote muscle repair following eccentric-based exercise. Four weeks of high-dose (5 g/d) fish oil supplementation prior to eccentric exercise failed to attenuate the rise in creatine kinase concentration and muscle soreness during acute exercise recovery in physically-active young men. Future studies are warranted to investigate the efficacy of combining omega-3 polyunsaturated fatty acids with other nutrients (i.e. protein/amino acids) for the promotion of muscle recovery following eccentric-based damaging exercise.
Prevalence of asymptomatic infections of Chlamydia psittaci in psittacine birds in Korea

Avian chlamydiosis is an acute or chronic bacterial disease of birds. Chlamydia psittaci is the primary agent of the disease. It is also an important zoonotic pathogen. Chlamydia avium and Chlamydia gallinacea have also been recognized as potential causative agents of the disease. Clinical signs of this disease can vary in severity. Asymptomatic infections of Chlamydia have commonly been reported in various birds worldwide. In this study, we investigated the distribution of Chlamydia species in healthy psittacine birds in Korea. A total of 263 samples (pharyngeal/cloacal swabs and faeces) were collected from psittacine birds of 26 species in five zoos, five parrot farms and seven parrot cafes between 2020 and 2021. Ages of these birds had a wide range (1 month to 30 years). During sample collection, no bird showed any clinical signs indicating diseases such as chlamydiosis. Samples were tested for the presence of Chlamydia spp. using real‐time PCR assays. Chlamydia spp. were detected in 168 (63.9%) samples and C. psittaci was detected in 96 (36.5%) samples. However, C. avium and C. gallinacea were not detected. There were no significant differences in the prevalence of asymptomatic infections in birds among three types of housing environments. Regarding ompA genotypes, 87 C. psittaci‐positive samples had genotype A based on sequence analysis (n = 28) and genotype‐specific real‐time PCR (n = 59). Other positive samples were untyped (n = 9). Overall findings showed high prevalence of asymptomatic infections of C. psittaci in psittacine birds in Korea, posing a significant hazard to public health.
Association of Food Insecurity With Multiple Forms of Interpersonal and Self-Directed Violence: A Systematic Review

Economic stress, broadly defined, is associated with an increased likelihood of multiple forms of violence. Food insecurity is a distinct economic stressor and material hardship that is amenable to programmatic and policy intervention. To inform intervention and identify gaps in the current evidence base, we conducted a systematic review to synthesize and critically evaluate the existing literature regarding the association between food insecurity and five forms of interpersonal and self-directed violence: intimate partner violence (IPV), suicidality, peer violence and bullying, youth dating violence, and child maltreatment, in high-income countries. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and searched six electronic databases from their start date through February of 2022. We included studies that examined food insecurity as the exposure and an outcome measure of IPV, suicide, suicidality, peer violence, bullying, youth dating violence, or child maltreatment; were peer-reviewed and published in English; reported quantitative data; and took place in a high-income country. We identified 20 relevant studies. Nineteen studies found that food insecurity was associated with an increased likelihood of these forms of violence. Results highlight the potential for programs and policies that address food insecurity to function as primary prevention strategies for multiple forms of violence and underscore the importance of trauma-informed approaches in organizations providing food assistance. Additional theory-driven research with validated measures of food insecurity and clearly established temporality between measures of food insecurity and violence is needed to strengthen the existing evidence base.
Some Theorems on Leibniz Algebras

If U is a subnormal subalgebra of a finite-dimensional Leibniz algebra L and M is a finite-dimensional irreducible L-bimodule, then all U-bimodule composition factors of M are isomorphic. If U is a subnormal subalgebra of a finite-dimensional Leibniz algebra L, then the nilpotent residual of U is an ideal of L. Engel subalgebras of finite-dimensional Leibniz algebras are shown to have similar properties to those of Lie algebras. A subalgebra is shown to be a Cartan subalgebra if and only if it is minimal Engel, provided that the field has sufficiently many elements.
Adaptive splines and genetic algorithms for optimal statistical modeling

In many statistical applications, a modeling technique is needed which can capture a relationship between two variables x and y that is more complex than a simple linear relationship. In the case where little is known about the function f which relates x and y, the modeling technique should be flexible or adaptive, i.e., able to handle a wide variety of functional shapes and behaviors. Nonparametric modeling is one such technique which has been successful in characterizing features of datasets that could not be obtainable by other means. Spatially adaptive smoothing methods involving regression splines have become a popular and rapidly developing class of such modeling techniques. Most of these methods are based on nonlinear optimization and/or stepwise selection of basis functions. Although computationally fast and spatially adaptive, stepwise knot selection is necessarily suboptimal while determining the best model over the space of adaptive splines is a very poorly behaved nonlinear optimization problem (Wahba 1988). A possible alternative is to use a genetic algorithm to perform knot selection. Genetic algorithms are stochastic search methods which, under certain design conditions, have been shown theoretically to converge to the global optimum of the evaluation function of an optimization problem (Banyopadhyay, Murthy, and Pal 1999). Hence, given a variable selection criterion and a search space of possible knot locations, a genetic algorithm has the potential to find models that are more appropriate in comparison to models selected using stepwise or nonlinear optimization techniques. In this work we explore the use of genetic algorithms for adaptive spline modeling in low dimensional settings. Chapters 3 and 4 concern only linear splines while Chapter 5 involves the optimal fitting of polynomial splines. Experimental results are compared to those of Luo and Wahba (1997), Donoho and Johnstone (1995), Friedman (1991), and Stone, Kooperberg, Hansen and Troung (1997), among others. Future research is focused on comparisons with the recent Bayesian spline methods (e.g., Denison, Mallick and Smith 1998), extensions to higher dimensions, and explorations into other areas of study such as neural networks and fractals.
Captivity induces a sweeping and sustained genomic response in a starfish

Marine animals in the wild are often difficult to access, so they are studied in captivity. However, the implicit assumption that physiological processes of animals in artificial environments are not different from those in the wild has rarely been tested. Here, we investigate the extent to which an animal is impacted by captivity by comparing global gene expression in wild and captive crown‐of‐thorns starfish (COTS). In a preliminary analysis, we compared transcriptomes of three external tissues obtained from multiple wild COTS with a single captive COTS maintained in aquaria for at least 1 week. On average, an astonishingly large 24% of the coding sequences in the genome were differentially expressed. This led us to conduct a replicated experiment to test more comprehensively the impact of captivity on gene expression. Specifically, a comparison of 13 wild with 8 captive COTS coelomocyte transcriptomes revealed significant differences in the expression of 20% of coding sequences. Coelomocyte transcriptomes in captive COTS remain different from those in wild COTS for more than 30 days and show no indication of reverting back to a wild state (i.e. no evidence of acclimation). Genes upregulated in captivity include those involved in oxidative stress and energy metabolism, whereas genes downregulated are involved in cell signalling. These changes in gene expression indicate that being translocated and maintained in captivity has a marked impact on the physiology and health of these echinoderms. This study suggests that caution should be exercised when extrapolating results from captive aquatic invertebrates to their wild counterparts.
On a two‐level finite element method for the incompressible Navier–Stokes equations

We consider the Galerkin finite element method for the incompressible Navier–Stokes equations in two dimensions, where the finite‐dimensional space(s) employed consist of piecewise polynomials enriched with residual‐free bubble functions. To find the bubble part of the solution, a two‐level finite element method (TLFEM) is described and its application to the Navier–Stokes equation is displayed. Numerical solutions employing the TLFEM are presented for three benchmark problems. We compare the numerical solutions using the TLFEM with the numerical solutions using a stabilized method. Copyright © 2001 John Wiley & Sons, Ltd.
Depressive symptoms, but not moderate-to-vigorous physical activity, impacts sexual well-being and menopause-specific quality of life in middle-aged women

ABSTRACT Inadequate physical activity (PA), unhealthy weight status, prevalence of chronic conditions, and psychosocial distress are common in middle-aged women and are linked to reductions in well-being and quality of life. However, their potential interactive effects, specifically on sexual well-being and menopause-specific quality of life (MENQOL), have not been well characterized in postmenopausal women. PURPOSE: To determine if moderate-to-vigorous physical activity (MVPA) and adiposity (%Fat) influence sexual well-being and MENQOL outcomes, controlling for health status (chronic conditions; medications) and psychosocial well-being (depressive symptoms; perceived stress), in postmenopausal women. Postmenopausal women (n = 68, 58.6 ± 3.4 yr, 80.9 percent married/partnered, 51.5 percent overweight/obese, nonsmoking) were recruited through e-mail advertisements and flyers placed throughout the community. Participants were scheduled for two laboratory visits 7–10 days apart where they were objectively assessed for MVPA with accelerometers (in the interim), adiposity via dual-energy X-ray absorptiometry (DXA), and self-report questionnaires to determine health status, depressive symptoms, perceived stress, sexual well-being, and MENQOL. Lower MVPA and higher %Fat were associated with lower physical domain MENQOL (both r = .27, p < .05); health status and psychosocial well-being were not associated (all p > .05). Hierarchical regression analyses revealed 1) greater number of chronic conditions and medications, and depressive symptoms scores predicted less favorable sexual well-being, independent of MVPA and %Fat (standardized β range =.22–.56, all p < .05), 2) depression was most consistently associated with MENQOL (models p ≤ .001), and 3) greater adiposity augmented the negative influence of depression on the physical domain of MENQOL (β = .40. p = .002). CONCLUSIONS: PA may influence sexual well-being and MENQOL indirectly through positive impacts on adiposity, chronic conditions, and depressive symptoms in middle-aged postmenopausal women, a sector of the population often afflicted with compromised sexual well-being.
Association of Age at Menopause and Hormone Therapy Use With Tau and β-Amyloid Positron Emission Tomography.

Importance Postmenopausal females represent around 70% of all individuals with Alzheimer disease. Previous literature shows elevated levels of tau in cognitively unimpaired postmenopausal females compared with age-matched males, particularly in the setting of high β-amyloid (Aβ). The biological mechanisms associated with higher tau deposition in female individuals remain elusive. Objective To examine the extent to which sex, age at menopause, and hormone therapy (HT) use are associated with regional tau at a given level of Aβ, both measured with positron emission tomography (PET). Design, Setting, and Participants This cross-sectional study included participants enrolled in the Wisconsin Registry for Alzheimer Prevention. Cognitively unimpaired males and females with at least 1 18F-MK-6240 and 11C-Pittsburgh compound B PET scan were analyzed. Data were collected between November 2006 and May 2021. Exposures Premature menopause (menopause at younger than 40 years), early menopause (menopause at age 40-45 years), and regular menopause (menopause at older than 45 years) and HT user (current/past use) and HT nonuser (no current/past use). Exposures were self-reported. Main Outcomes and Measures Seven tau PET regions that show sex differences across temporal, parietal, and occipital lobes. Primary analyses examined the interaction of sex, age at menopause or HT, and Aβ PET on regional tau PET in a series of linear regressions. Secondary analyses investigated the influence of HT timing in association with age at menopause on regional tau PET. Results Of 292 cognitively unimpaired individuals, there were 193 females (66.1%) and 99 males (33.9%). The mean (range) age at tau scan was 67 (49-80) years, 52 (19%) had abnormal Aβ, and 106 (36.3%) were APOEε4 carriers. There were 98 female HT users (52.2%) (past/current). Female sex (standardized β = -0.41; 95% CI, -0.97 to -0.32; P < .001), earlier age at menopause (standardized β = -0.38; 95% CI, -0.14 to -0.09; P < .001), and HT use (standardized β = 0.31; 95% CI, 0.40-1.20; P = .008) were associated with higher regional tau PET in individuals with elevated Aβ compared with male sex, later age at menopause, and HT nonuse. Affected regions included medial and lateral regions of the temporal and occipital lobes. Late initiation of HT (>5 years following age at menopause) was associated with higher tau PET compared with early initiation (β = 0.49; 95% CI, 0.27-0.43; P = .001). Conclusions and Relevance In this study, females exhibited higher tau compared with age-matched males, particularly in the setting of elevated Aβ. In females, earlier age at menopause and late initiation of HT were associated with increased tau vulnerability especially when neocortical Aβ elevated. These observational findings suggest that subgroups of female individuals may be at higher risk of pathological burden.
Simulations of low‐level convergence lines over north‐eastern Australia

We describe high‐resolution numerical model simulations of low‐level convergence lines over north‐eastern Australia using the Pennsylvania State University/National Center for Atmospheric Research Mesoscale Model (MM5). The simulations are for selected events that were documented during the Gulf Lines Experiment, held in September–October 2002. The calculations provide further insights into the dynamics of the convergence lines and the mechanisms involved in their formation. In particular they show two clearly distinct convergence lines, one that corresponds to the morning glory and one which corresponds to the North Australian Cloud Line; the former originates from the east‐coast sea breeze over Cape York Peninsula south of about 14°S, while the latter originates from the east‐coast sea breeze north of this latitude. They support also a recently proposed conceptual model for the generation of southerly morning glories and show for the first time the separation of a bore‐like disturbance following the collision of a nocturnal cold front to the south of the inland trough with a sea‐breeze front to the north of the trough. Moreover, they show the progressive transition of the east‐coast sea‐breeze front and the inland cold front from gravity‐current‐like flows to bore‐like disturbances overnight to form north‐easterly and southerly morning glories, respectively. Copyright © 2006 Royal Meteorological Society.
High-Power, Long-Lifetime InGaN Multi-Quantum-Well-Structure Laser Diodes

The continuous-wave operation of InGaN multi-quantum-well structure laser diodes (LDs) was demonstrated at room temperature with a high output power of 50 mW, a high operating temperature of 100° C and a long lifetime of 300 hours. The characteristic temperature of the threshold current was as high as 170 K. The emission wavelength of the LDs was 416 nm.
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models

Multivariate biosignals are prevalent in many medical domains, such as electroencephalography, polysomnography, and electrocardiography. Modeling spatiotemporal dependencies in multivariate biosignals is challenging due to (1) long-range temporal dependencies and (2) complex spatial correlations between the electrodes. To address these challenges, we propose representing multivariate biosignals as time-dependent graphs and introduce GraphS4mer, a general graph neural network (GNN) architecture that improves performance on biosignal classification tasks by modeling spatiotemporal dependencies in biosignals. Specifically, (1) we leverage the Structured State Space architecture, a state-of-the-art deep sequence model, to capture long-range temporal dependencies in biosignals and (2) we propose a graph structure learning layer in GraphS4mer to learn dynamically evolving graph structures in the data. We evaluate our proposed model on three distinct biosignal classification tasks and show that GraphS4mer consistently improves over existing models, including (1) seizure detection from electroencephalographic signals, outperforming a previous GNN with self-supervised pre-training by 3.1 points in AUROC; (2) sleep staging from polysomnographic signals, a 4.1 points improvement in macro-F1 score compared to existing sleep staging models; and (3) 12-lead electrocardiogram classification, outperforming previous state-of-the-art models by 2.7 points in macro-F1 score.
A new formulation of Galilean relativistic Maxwell theory

In this paper, we discuss Galilean relativistic Maxwell theory in detail. We ﬁrst provide a set of mapping relations, derived systematically, that connect the covariant and contravariant vectors in the Lorentz relativistic and Galilean relativistic formulations. Exploiting this map, we construct the two limits of Galilean relativistic Maxwell theory from usual Maxwell’s theory in the potential formalism for both contravariant and covariant vectors which are now distinct entities. Field equations are derived and their internal consistency is shown. The entire analysis is then performed in terms of electric and magnetic ﬁelds for both covariant and contravariant components. Duality transformations and their connection with boost symmetry are discussed which reveal a rich structure. The notion of twisted duality is introduced. Next we consider gauge symmetry, construct Noether currents and show their on-shell conservation. We also discuss shift symmetry under which the Lagrangian is invariant, where the corresponding currents are now on-shell conserved. At the end we analyse the theory by including sources for both contravariant and covariant sectors. We show that sources are now oﬀ-shell conserved
Provider and Patient Experiences of Delays in Primary Care During the Early COVID-19 Pandemic

Supplemental Digital Content is Available in the Text. ABSTRACT Background: The necessary suspension of nonacute services by healthcare systems early in the COVID-19 pandemic was predicted to cause delays in routine care in the United States, with potentially serious consequences for chronic disease management. However, limited work has examined provider or patient perspectives about care delays and their implications for care quality in future healthcare emergencies. Objective: This study explores primary care provider (PCP) and patient experiences with healthcare delays during the COVID-19 pandemic. Methods: PCPs and patients were recruited from four large healthcare systems in three states. Participants underwent semistructured interviews asking about their experiences with primary care and telemedicine. Data were analyzed using interpretive description. Results: Twenty-one PCPs and 65 patients participated in interviews. Four main topics were identified: (1) types of care delayed, (2) causes for delays, (3) miscommunication contributing to delays, and (4) patient solutions to unmet care needs. Conclusions: Both patients and providers reported delays in preventive and routine care early in the pandemic, driven by healthcare system changes and patient concerns about infection risk. Primary care practices should develop plans for care continuity and consider new strategies for assessing care quality for effective chronic disease management in future healthcare system disruptions.