Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Nutrition and Physical Activity on Exercise Performance after Mild COVID-19 Infection in Endurance Athletes-CESAR Study

COVID-19 and imposed restrictions are linked with numerous health consequences, especially among endurance athletes (EA). Unfavorable changes in physical activity and nutrition may affect later sports and competition performance. The aims of this study were: (1) to assess the impact of COVID-19 infection and pandemic restrictions on the nutrition and physical activity of EAs and (2) to compare them with the results of cardiopulmonary exercise testing (CPET). In total, 49 EAs (nmale = 43, nfemale = 6, mean age = 39.9 ± 7.8 year., height = 178.4 ± 6.8 cm, weight = 76.3 ± 10.4 kg; BMI = 24.0 ± 2.6 kg·m−2) underwent pre- and post-COVID-19 CPET and fulfilled the dietary and physical activity survey. COVID-19 infection significantly deteriorated CPET performance. There was a reduction in oxygen uptake and in heart rate post-COVID-19 (both p < 0.001). Consuming processed meat and replacing meat with plant-based protein affected blood lactate concentration (p = 0.035). Fat-free mass was linked with consuming unsaturated fatty acids (p = 0.031). Adding salt to meals influenced maximal speed/power (p = 0.024) and breathing frequency (p = 0.033). Dietary and Fitness Practitioners and Medical Professionals should be aware of possible COVID-19 infection and pandemic consequences among EA. The results of this study are a helpful guideline to properly adjust the treatment, nutrition, and training of EA.
Efficacy of cognitive behavioural therapy for insomnia or sleep disturbance in pregnant women: A systematic review ad meta‐analysis

During pregnancy many women may experience negative emotions and sleep disturbances. This systematic review and meta‐analysis was conducted to assess the efficacy of cognitive behavioural therapy for insomnia (CBT‐I) or sleep disturbance in pregnant women. From the earliest available publications to 15 April 2022, seven electronic literature databases were searched: PubMed, Web of Science, Cochrane Library, Embase, Chinese National Knowledge Infrastructure, Wanfang Data, and VIP Database for Chinese Science and Technology Journal. Randomised controlled trials of CBT‐I in pregnant women with insomnia or sleep disorders were included. The methodological bias of the included studies was assessed using the Cochrane risk of bias tool. The meta‐analysis was performed using RevMan 5.4 software. Stata Statistical Software: Release 15 was used for sensitivity analysis and publication bias. We included eight randomised controlled trials involving 743 pregnant women. Meta‐analysis showed that, compared with the control group, CBT‐I significantly improved the Insomnia Severity Index (mean difference [MD] = −4.25, 95% confidence interval [CI, −6.32, −2.19], p < 0.001), The Pittsburgh Sleep Quality Index (MD = −3.30, 95% CI [−4.81, −1.79], p < 0.001), sleep onset latency (standardised mean difference [SMD] = −1.25, 95% CI [−2.01, −0.50], p = 0.001), anxiety (SMD = −0.99, 95% CI [−1.32, −0.67], p < 0.001), and depression (SMD = −0.40, 95% CI [−0.72, −0.07], p = 0.02). No significant differences were found in total sleep time (SMD = 0.31, 95% CI [−0.54, 1.17], p = 0.47) and sleep efficiency (SMD = 0.80, 95% CI [−0.53, 2.13], p = 0.24). CBT‐I significantly improved pregnant women's sleep quality, insomnia severity, depression, and anxiety. This meta‐analysis provides evidence that CBT‐I is valid for insomnia or sleep disturbances during pregnancy.
Rubella Virus Infections: A Bibliometric Analysis of the Scientific Literature from 2000 to 2021

Rubella virus (RuV) generally causes a mild infection, but it can sometimes lead to systemic abnormalities. This study aimed to conduct a bibliometric analysis of over two decades of RuV research. Medical studies published from 2000 to 2021 were analyzed to gain insights into and identify research trends and outputs in RuV. R and VOSviewer were used to conduct a bibliometric investigation to determine the globally indexed RuV research output. The Dimensions database was searched with RuV selected as the subject, and 2500 published documents from the preceding two decades were reviewed. The number of publications on RuV has increased since 2003, reaching its peak in 2020. There were 12,072 authors and 16,769 author appearances; 88 publications were single-authored and 11,984 were multi-authored. The United States was the most influential contributor to RuV research, in terms of publications and author numbers. The number of RuV-related articles has continued to increase over the past few years due to the significant rubella burden in low-income nations. This study will aid in formulating plans and policies to control and prevent RuV infections.
Effects of Transient Eddies on Blocking Flows: General Circulation Model Experiments

Abstract Prediction of blocking flows by a comprehensive general circulation model is still not satisfactory. A large portion of the unskillful forecasts can be traced to the model's inability to predict the evolution of blocking beyond a few days into the forecast. Realizing the fact that blocking is often observed to form following a series of intensive cyclogenesis activities and that the model tends to underestimate the intensity of the synoptic-scale transient eddies, a series of 10-day forecasts were conducted to assess the impact of transient eddies on the establishment of blocking flows. When the fast-propagating synoptic-scale disturbances were suppressed in the initial conditions, the subsequent forecasts completely failed to predict a blocking anticyclone. However, when the transient eddies were enhanced in the initial conditions to compensate for the deficiency of the model, blocking flows were predicted and evolved in remarkable agreement with the observations. The dynamical processes during .
Developing a brand personality framework in the context of outdoor small-scale sport events

Abstract Outdoor small scale sport events like trail or local city running races are on a rise. Several event managers pivot their promotional strategies by developing unique brand personality characteristics to support their products from competition. This study aimed to develop a brand personality scale for outdoor small scale running events with the usage of mixed methods approach. First, 24 semi-structured interviews were conducted within event managers and trail runners to conceptualize the brand personality in small scale sport event settings. Then, an exploratory factor analysis was performed in 216 runners to identify the underlying construct. A third study with 396 respondents was carried out to validate the hypothesized scale. The results indicated a five factor model with seventeen characteristics: Safe, Local-oriented, Authentic, Competitive and Excited. This study has theoretical and practical significant contribution for both brand personality literature and sport event marketers as it strengths the promotional actions and provides a better event personality conceptualization for outdoor small scale events. Finally, several managerial implications are discussed in the later sections.
Pancreatic Cancer: Beyond Brca Mutations

Pancreatic cancer is the fourth-leading cause of cancer-related deaths worldwide. The outcomes in patients with pancreatic cancer remain unsatisfactory. In the current review, we summarize the genetic and epigenetic architecture of metastatic pancreatic cancer beyond the BRCA mutations, focusing on the genetic alterations and the molecular pathology in pancreatic cancer. This review focuses on the molecular targets for the treatment of pancreatic cancer, with a correlation to future treatments. The potential approach addressed in this review may lead to the identification of a subset of patients with specific biological behaviors and treatment responses.
Association of serum ADMA, SDMA and L-NMMA concentrations with disease progression in COVID-19 patients

Introduction This study determines and compares the concentrations of arginine and methylated arginine products ((asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), n-monomethyl-1-arginine (L-NMMA) and homoarginine (HA)) for assessment of their association with disease severity in serum samples of COVID-19 patients. Materials and methods Serum arginine and methylated arginine products of 57 mild-moderate and 29 severe (N = 86) COVID-19 patients and 21 controls were determined by tandem mass spectrometry. Moreover, the concentrations of some of the routine clinical laboratory parameters -neutrophil lymphocyte ratio (NLR), C-reactive protein, ferritin, D-dimer, and fibrinogen measured during COVID-19 follow-up were also taken into consideration and compared with the concentrations of arginine and methylated arginine products. Results Serum ADMA, SDMA and L-NMMA were found to be significantly higher in severe COVID-19 patients, than in both mild-moderate patients and the control group (P < 0.001 for each). In addition, multiple logistic regression analysis indicated L-NMMA (cut-off =120 nmol/L OR = 34, 95% confidence interval (CI) = 3.5-302.0, P= 0.002), CRP (cut-off = 32 mg/L, OR = 37, 95% CI = 4.8-287.0, P < 0.001), and NLR (cut-off = 7, OR = 22, 95% CI = 1.4-335.0, P = 0.020) as independent risk factors for identification of severe patients. Conclusions The concentration of methylated arginine metabolites are significantly altered in COVID-19 disease. The results of this study indicate a significant correlation between the severity of COVID-19 disease and concentrations of CRP, NLR and L-NMMA.
COMPUTATIONAL ANALYSIS OF TURBULENT FLUID FLOW AND HEAT TRANSFER OVER AN ARRAY OF HEATED MODULES USING TURBULENCE MODELS

A computational analysis is carried out using the standard k - l model and two low Reynolds number turbulence models as applied to developing turbulent fluid flow and heat transfer in a channel with surface-mounted heat-generating modules. The channel is assumed to be formed between two adjacent circuit boards with surface-mounted heat-generating modules mounted on a single side of each board. A detailed discussion of the computational model and the solution algorithm is given. Numerical experimentation is carried out with respect to mesh size and other mesh parameters. Calculation is performed for a Reynolds number range 2,000-7,000, and a Prandtl number of 0.7. The predictions of both pressure drop and heat transfer coefficient over the modules are compared with selected experimental data. The comparison showed that the low Reynolds number model based on Jones and Launder gives good predictions in a Reynolds number range of 2,000-5,000. At higher Reynolds numbers such as at Re=7,000, the standard k - l results in better predictions.
Dapagliflozin Prevents High-Glucose-Induced Cellular Senescence in Renal Tubular Epithelial Cells

Gliflozins are a new class of antidiabetic drugs with renoprotective properties. In cultures of primary human renal tubular epithelial cells (RPTECs) subjected to high-glucose conditions in the presence or absence of dapagliflozin, we evaluated cellular senescence pathways. High glucose increased sodium–glucose cotransporter-2 (SGLT-2) expression and glucose consumption, enhancing reactive oxygen species production. The latter induced DNA damage, ataxia telangiectasia mutated kinase (ATM), and p53 phosphorylation. Stabilized p53 increased the cell cycle inhibitor p21, resulting in cell cycle arrest and increasing the cellular senescence marker beta-galactosidase (GLB-1). RPTECs under high glucose acquired a senescence-associated secretory phenotype, which was detected by the production of IL-1β, IL-8, and TGF-β1. By decreasing SGLT-2 expression and glucose consumption, dapagliflozin inhibited the above pathway and prevented RPTEC senescence. In addition, dapagliflozin reduced the cell cycle inhibitor p16 independently of the glucose conditions. Neither glucose concentration nor dapagliflozin affected the epithelial-to-mesenchymal transition when assessed with α-smooth muscle actin (α-SMA). Thus, high glucose induces p21-dependent RPTEC senescence, whereas dapagliflozin prevents it. Since cellular senescence contributes to the pathogenesis of diabetic nephropathy, delineating the related molecular mechanisms and the effects of the widely used gliflozins on them is of particular interest and may lead to novel therapeutic approaches.
Using rhythmanalysis to explore the synchronicities and disruptions in children’s everyday lives in England and Greece during the 2020 lockdown

This article addresses the methodological challenge of capturing and comparing children’s experiences of everyday life by using a novel rhythmanalysis approach to explore the experiences of a small sample (N = 16) of home based children aged 7–10 in England and Greece during the 2020 global lockdown. The children kept a 1 day diary in which they recorded their activities and feelings at regular intervals during their waking hours. The data collected indicates that the children’s lives were both disrupted and synchronised during this period, and highlights how their individual experiences were interconnected in time and space by shared rhythms which underpinned the patterns of their day. The paper highlights the utility of the specially designed rhythmanalysis data collection tool and analytical approach for future comparative international studies of children’s everyday lives.
On the local behavior of certain homeomorphisms

In the previous paper by the authors, it is shown that a sense-preserving homeomorphism, absolutely continuous on lines (ACL), under certain integral conditions on the complex dilation is conformal at a point. This result includes the Teichmuller-Wittich-Belinski theorem. In the present paper, it is shown that under weakened conditions the local behavior of such a homeomorphism is similar to that of a quasiconformal mapping. Bibliography: 2 titles.
Seasonal Simulation of Tropospheric Ozone over the Midwestern and Northeastern United States: An Application of a Coupled Regional Climate and Air Quality Modeling System

Abstract The impacts of air pollution on the environment and human health could increase as a result of potential climate change. To assess such possible changes, model simulations of pollutant concentrations need to be performed at climatic (seasonal) rather than episodic (days) time scales, using future climate projections from a general circulation model. Such a modeling system was employed here, consisting of a regional climate model (RCM), an emissions model, and an air quality model. To assess overall model performance with one-way coupling, this system was used to simulate tropospheric ozone concentrations in the midwestern and northeastern United States for summer seasons between 1995 and 2000. The RCM meteorological conditions were driven by the National Centers for Environmental Prediction/Department of Energy global reanalysis (R-2) using the same procedure that integrates future climate model projections. Based on analyses for several urban and rural areas and regional domains, fairly good agr.
REVIEW ARTICLE: The role of the electric field in confinement

Theories of the electric field effect on toroidal plasma confinement are reviewed with the emphasis placed on recent progress in the areas of anomalous transport, structural formation and bifurcation, research which has been motivated by the discovery of improved confinement. Topics include single-particle physics, such as particle orbits or collisional transport, turbulent transport, transport matrix, structural formation and dynamics, bifurcation, and improved confinement.
Prevalence of Spirometry Testing among Patients with Asthma and COPD in German General Practices

The goal of this study was to estimate the prevalence of spirometry testing among patients with asthma and chronic obstructive pulmonary disease (COPD) in general practices (GPs) in Germany. This retrospective cross-sectional study was based on data from the Disease Analyzer database (IQVIA), This retrospective cross-sectional study included all patients with at least one confirmed asthma or COPD diagnosis in one of those 50 general practices in Germany between January 2020, and January 2021, as well as at least one visit to these general practices between January 2021, and January 2022. The main outcomes of the study aimed to ascertain the proportion of spirometry testing among asthma and COPD patients between January 2021, and January 2022, overall, and separately, in men, women, six age groups (≤30, 31–40, 41–50, 51–60, 61, 70, >70), and patients who received at least one prescription of anti-asthma or anti-COPD drugs. This study included 8835 patients with asthma only, 5597 with COPD only, and 1897 with both asthma and COPD diagnoses. Of these, 27.2% of COPD patients, 7% of asthma patients, and 54.7% of asthma + COPD patients, received spirometry testing during the study period. Among COPD and asthma + COPD patients, the prevalence of spirometry testing was much higher in women than in men (COPD: 31.6% vs. 23.2%; asthma + COPD: 59.6% vs. 46.3%) and much higher in treated than in non-treated patients (COPD: 31.7% vs. 15.0%; asthma + COPD: 57.5% vs. 27.8%). The prevalence of spirometry testing was relatively low among COPD and asthma patients followed in GP practices, but usually higher in female patients, treated patients, and patients suffering from both asthma and COPD.
On An Elliptic Equation With Concave and Convex Nonlinearities

We study the semilinear elliptic equation -Delta u=lambdau(q-2)u+muu(p-2)u in an open bounded domain Omega subset of R(N) with Dirichlet boundary conditions; here 1 0 and mu is an element of R arbitrary there exists a sequence (upsilon(k)) of solutions with negative energy converging to 0 as k --> infinity. Moreover, for mu > 0 and lambda arbitrary there exists a sequence of solutions with unbounded energy. This answers a question of Ambrosetti, Brezis and Cerami. The main ingredient is a new critical point theorem, which guarantees the existence of infinitely many critical values of an even functional in a bounded range. We can also treat strongly indefinite functionals and obtain similar results for first-order Hamiltonian systems.
The Needs of School Professionals for Eating Disorder Prevention in Australian Schools: A Mixed-Methods Survey

(1) Background: School professionals such as teachers and counsellors are uniquely positioned to facilitate discussion around disordered eating and body image; however, little is known about the needs of school professionals with respect to eating disorder prevention. This study aimed to explore the needs and perceptions of Australian school professionals regarding eating disorder prevention. (2) Methods: School professionals were recruited to a mixed-methods online cross-sectional survey. The survey assessed demographics and perceived needs and attitudes to eating disorder prevention. (3) Results: Most participants (92%) were willing to participate in eating disorder prevention; however, only 61% reported good knowledge and 41% reported feeling confident in implementing eating disorder prevention. Those who had received training in eating disorders (24%) reported higher confidence (p = 0.02) and knowledge (p = 0.04). Only 66% of respondents reported that all teachers should be involved in eating disorder prevention while barriers including workload, knowledge, and resources were commonly highlighted. Fewer respondents working in primary school settings reported the need for prevention approaches (p = 0.046). (4) Conclusions: Despite a willingness to be involved in the prevention of eating disorders, there are inconsistencies in attitudes regarding the role of school professionals in eating disorder prevention. The findings of this study reinforce that understanding professional roles, school settings, and personal attitudes is critical in the development of more efficacious school professional training and prevention interventions.
Dissent in Reality: A Commentary on Representations of Organizational Dissent on Undercover Boss

Reality television that allegedly takes us inside organizations provides researchers with abundant data to consider how culture industries narrate and shape understandings of (un)idealized work practices. Within this context, we explored organizational dissent on the reality television show Undercover Boss. Recent research has theorized how dissent is a co-constructed process between dissenters and recipients. A challenge to exploring this process, however, is witnessing dissent as it unfolds over time and between supervisors and subordinates. Through a qualitative content analysis of eight seasons of Undercover Boss, we examined how the dissent life cycle was depicted. We determined beneath displays of exemplary employees and redeemed bosses vowing their commitment to employee concerns, a more problematic narrative existed. Despite attempts to highlight how employees can provide insightful, quality feedback, the program privileged showing bosses’ authority, business acumen, and how they facilitated and framed dissent messages. Dissent interactions ultimately supported executive business interests and demonstrated dysfunctional dissent processes.
Long future frame prediction using optical flow‐informed deep neural networks for enhancement of robotic teleoperation in high latency environments

High latency in teleoperation has a significant negative impact on operator performance. While deep learning has revolutionized many domains recently, it has not previously been applied to teleoperation enhancement. We propose a novel approach to predict video frames deep into the future using neural networks informed by synthetically generated optical flow information. This can be employed in teleoperated robotic systems that rely on video feeds for operator situational awareness. We have used the image‐to‐image translation technique as a basis for the prediction of future frames. The Pix2Pix conditional generative adversarial network (cGAN) has been selected as a base network. Optical flow components reflecting real‐time control inputs are added to the standard RGB channels of the input image. We have experimented with three data sets of 20,000 input images each that were generated using our custom‐designed teleoperation simulator with a 500‐ms delay added between the input and target frames. Structural Similarity Index Measures (SSIMs) of 0.60 and Multi‐SSIMs of 0.68 were achieved when training the cGAN with three‐channel RGB image data. With the five‐channel input data (incorporating optical flow) these values improved to 0.67 and 0.74, respectively. Applying Fleiss' κ gave a score of 0.40 for three‐channel RGB data, and 0.55 for five‐channel optical flow‐added data. We are confident the predicted synthetic frames are of sufficient quality and reliability to be presented to teleoperators as a video feed that will enhance teleoperation. To the best of our knowledge, we are the first to attempt to reduce the impacts of latency through future frame prediction using deep neural networks.
Optical Refractivity of High‐Temperature Gases. II. Effects Resulting from Ionization of Monatomic Gases

This paper describes shock‐tube studies of the optical index of refraction of ionized argon in which observed optical effects have been related to the ionization of the shocked argon. The plasma dispersion formula has been applied to the measured refractivities to determine values of equilibrium electron concentrations on the order of 1017 cm−3. Good agreement is found between experimental and calculated values of the degree of ionization. The ionization relaxation process is strikingly portrayed in the interferograms and may be studied in some detail. Some questions concerning proposed kinetics for the relaxation behind strong shock waves in monatomic gases are discussed.