Meltonbarefoot5672

Current research of avian adipogenesis has been dependent on primary preadipocytes culture due to the lack of commercially available immortal preadipocyte cell lines in avian species. In addition to primary stromal vascular cells, primary chicken embryonic fibroblasts (CEF) were suggested as new in vitro models for adipogenesis study, because CEF can be differentiated into adipocytes by a combination of fatty acids and insulin (FI), or all-trans retinoic acid (atRA) alone in the media containing chicken serum (CS). However, there are decreases in differentiation of primary cells due to diverse population of cell types and low adipogenic potential of cells after passages. In the present study, adipogenic differentiation of DF-1 cells, immortal fibroblasts derived from an embryonic chicken, was tested with 4 different medium; 10% fetal bovine serum (FBS), 10% CS, 10% CS with FI, and 10% CS with FI and atRA. Lipid droplets stained with Oil Red O were not shown in DF-1 cells under 10% FBS, appeared with very small sizes under 10% CS, significantly increased under 10% CS with FI, and most significantly accumulated under 10% CS with FI and atRA. In addition, expressions of markers for adipogenesis (Znf423, C/ebpβ, Pparγ, and Fabp4), fatty acid uptake (CD36), triglyceride synthesis (Gpd1, Dgat2), and lipid droplet stabilization (Plin1) were significantly upregulated by supplementation of 10% CS with FI and atRA. Morphological evidence for formation of lipid droplets and dramatic induction of adipogenic marker genes support the adipogenic potential of DF-1 cells, offering DF-1 cells as a new cell model to investigate various research studies involving avian adipogenesis.In this paper, we propose a new approach to detect circles and nano-particles based on an oriented-edges gradient map and a decision tree. The decision tree is calculated from geometric constraints based on particular right triangles inscribed in a circle. Use of the proposed accumulator and dynamic storage matrix radii shows the robustness of our algorithm in terms of results and execution time. This robustness can also be enhanced in the event of prior knowledge. Indeed, we can enable or disable intermediate nodes or a part of nodes of the proposed decision tree to strengthen both the detection results and the execution time of the algorithm. Our approach makes it possible to detect circles and analyse the distribution of the nano-particles which is evaluated using four databases which include TEM, synthetic, real and complex images.

Despite almost 1 in 5 college students being Latinx, research examining risk factors for college alcohol misuse and consequences to inform prevention efforts for Latinx is limited. The current study attempts to address a health disparity among Latinx college students by examining the effects of parental permissiveness of underage drinking and perceived ethnic discrimination on drinking outcomes.

Latinx students from three large and geographically diverse public universities (N=215; 73% female) completed measures during the fall of their first (T1) and second (T2) years. Analyses used moderated regression with bootstrapping to obtain asymmetrical 95% confidence intervals. check details Parental permissiveness of underage drinking and perceived ethnic discrimination were assessed as predictors at T1. Drinking outcomes were assessed at T2 as typical weekly drinking, peak blood alcohol content (BAC), and alcohol-related consequences.

T1 permissiveness was significantly positively associated with T2 peak BAC. T1 discrimines were stronger among Latinx students who experienced high levels of ethnic discrimination. Efforts to address these risk factors in future culturally sensitive parent-based interventions for Latinx college students are warranted.The Metacognitions about Online Gaming Scale (MOGS) measures maladaptive metacognitions about online gaming. The purpose of the present study was to evaluate psychometric properties of the MOGS, including its factor structure, reliability, and predictive validity among Iranian adolescents. The scale was administered to 769 Iranian adolescents (577 male, mean age = 16.39 ± 1.68 years) with an age range of 15-19 years. The participants completed the Persian-translated version of the MOGS, the Big Five Inventory-10, the Depression, Anxiety and Stress Scale 21, the Video-Game Related Cognitions Scale, the Motives for Online Gaming Questionnaire, and the Problematic Online Gaming Questionnaire. The results of the Exploratory Factor Analysis (n = 350) and Confirmatory Factor Analysis (n = 419) confirmed three-factors similar to the parent version, including "negative metacognitions about uncontrollability of online gaming" (N-MOGU), "negative metacognitions about dangers of online gaming" (N-MOGD), and "positive metacognitions about online gaming" (P-MOG). The Persian MOGS's reliability showed a suitable internal consistency for the P-MOG, the N-MOGU, the N-MOGD, and the total score in both confirmatory and exploratory samples (range 0.79 to 0.93). A hierarchical regression analysis showed that the Persian MOGS predicted 33.9% of the variance in problematic online gaming independently of personality traits, anxiety, depression, stress, and both gaming-related cognitions and gaming motives. Furthermore, the results of analyses of variance with follow-up Bonferroni pairwise comparisons showed that interaction between the factors of MOGS and types of game and tools of gaming was significant. The findings provide evidence that the Persian MOGS among Iranian adolescents appears psychometrically appropriate to be used by researchers and practitioners dealing with the prevention and treatment of problematic online gaming.Significant barriers to the diagnosis of latent and acute SARS-CoV-2 infection continue to hamper population-based screening efforts required to contain the COVID-19 pandemic in the absence of widely available antiviral therapeutics or vaccines. We report an aptamer-based SARS-CoV-2 salivary antigen assay employing only low-cost reagents ($3.20/test) and an off-the-shelf glucometer. The test was engineered around a glucometer as it is quantitative, easy to use, and the most prevalent piece of diagnostic equipment globally, making the test highly scalable with an infrastructure that is already in place. Furthermore, many glucometers connect to smartphones, providing an opportunity to integrate with contact tracing apps, medical providers, and electronic health records. In clinical testing, the developed assay detected SARS-CoV-2 infection in patient saliva across a range of viral loads - as benchmarked by RT-qPCR - within 1 h, with 100% sensitivity (positive percent agreement) and distinguished infected specimens from off-target antigens in uninfected controls with 100% specificity (negative percent agreement).