Miracle-dz/UniFAR-FTUs huggingface dataset:
The age of peak performance in women and men duathletes – The paradigm of short and long versions in “Powerman Zofingen”

Purpose The age of peak performance (APP) has been studied extensively in various endurance and ultra-endurance sports; however, less information exists in regard to duathlon (ie, Run1, Bike, and Run2). The aim of the present study was to assess the APP of duathletes competing either in a short (ie, 10 km Run1, 50 km Bike, and 5 km Run2) or a long distance (ie, 10 km Run1, 150 km Bike, and 30 km Run2) race. Participants and methods We analyzed 6,671 participants (women, n=1,037, age 36.6±9.1 years; men, n=5,634, 40.0±10.0 years) in “Powerman Zofingen” from 2003 to 2017. Results Considering the finishers in 5-year age groups, in the short distance, a small main effect of sex on race time was observed (p<0.001, η2 =0.052) with men (171.7±20.9 min) being faster than women (186.0±21.5 min) by −7.7%. A small main effect of age group on race was shown (p<0.001, η2 =0.049) with 20–24 years being the fastest and 70–74 years the slowest. No sex × age group interaction was found (p=0.314, η2 =0.003). In the long distance, a small main effect of sex on race time was observed (p<0.001, η2 =0.021) with men (502.8±56.8 min) being faster than women (544.3±62.8 min) by −7.6%. A large main effect of age group on race time was shown (p<0.001, η2 =0.138) with age group 25–29 years the fastest and age group 70–74 years the slowest. A small sex × age group interaction on race time was found (p<0.001, η2 =0.013) with sex difference ranging from −22.4% (15–19 age group) to −6.6% (30–34 age group). Conclusion Based on these findings, it was concluded an older APP in the long than in the short distance was seen in “Powerman Zofingen. ” This indicates that APP in duathlon follows a similar trend as in endurance and ultra-endurance running and triathlon, ie, the longer the distance, the older the APP.
Blood Biochemical and Hematological Study after Subacute Intravenous Injection of Gold and Silver Nanoparticles and Coadministered Gold and Silver Nanoparticles of Similar Sizes

Background To investigate the effect of subacute intravenous administration AgNP (silver nanoparticles, 10 nm) and AuNP (gold nanoparticles, 12.8 nm) and AgNP/AuNP mixture to blood biochemistry, hematology, and platelet coagulation, subacute toxicity study was conducted. Methods AuNP and AgNP in which their size distribution was not statistically different, mixed or separate, were injected into the caudal vein of male Sprague-Dawley rats for 4 weeks. The rats were allowed to recover for a further 4 weeks in order to examine systemic toxicity expressed in the blood biochemistry and hematology. The dose groups (5 males per group for the administration and 3 males for the recovery) consisted of 7 divisions, i.e., control, AgNP (with a low dose of 10 μg/kg/day and a high dose of 100 μg/kg/day), AuNP (with a low dose of 10 μg/kg/day and a high dose of 100 μg/kg/day), and mixed AgNP/AuNP (with a low dose of 10/10 μg/kg/day and a high dose of 100/100 μg/kg/day). Results There were no significant dose-related changes in the hematology and blood biochemical values for the rats. Coagulation time in terms of the active partial thromboplastin time (APTT) and prothrombin time (PT) did not show any significant changes, when compared to the control group. Conclusion The subacute injection of AuNP and AgNP or their mixture did not induce any noticeable systemic toxicity.
How does presence influence purchase intention in online shopping markets? An explanation based on self-determination theory

ABSTRACT Presence has been regarded as an essential component for understanding individuals’ behaviour in online environments. Drawing upon self-determination theory (SDT), this study examines the impact of presence in online shopping markets. The conceptual model is examined with data collected from TaoBao. The findings indicate that telepresence is positively associated with consumers’ autonomy and stickiness, while social presence is positively associated with consumers’ relatedness and stickiness. Furthermore, stickiness mediates both the relationship between autonomy and purchase intention, and the relationship between relatedness and purchase intention. Having introduced a new perspective of SDT, this study explains how presence significantly influences consumers’ psychological need satisfaction, attitude and behaviour, and confirms the critical role of presence in online shopping markets.
Help-Seeking Behaviors of Intimate Partner Violence Victims: A Cross-National Analysis in Developing Nations

There is a dearth of research on help-seeking behaviors of intimate partner violence (IPV) victims, especially within developing nations. The current study uses the nationally representative population-based Demographic and Health Surveys (DHS) of 31 nations to address this gap in the literature. Specifically, the study (a) assesses the extent to which IPV victims sought help in developing nations, (b) investigates from whom IPV victims sought help, and (c) evaluates individual and national factors that influence the likelihood of help seeking among IPV victims in developing nations. Given the hierarchical structure of the data, multilevel modeling techniques are used (individual level N = 65,530; national level N = 31). Descriptive findings revealed 34.88% of IPV victims engaged in help-seeking behaviors and the majority of victims who sought help reached out to family members (63.10%). Few IPV victims (3.24%) sought help from formal institutions. Results from the hierarchical generalized linear regression models indicated the severity of abuse, attitudes toward IPV, and indicators of empowerment all affected the likelihood of help seeking. National-level factors, including whether the nation had a law against IPV, were not significant. While providing formal services is important, policies designed to help IPV victims must recognize and address cultural barriers that may inhibit help-seeking behaviors. Because the majority of IPV victims sought help from informal support networks, it is important that individuals in these extended networks receive information about gendered norms and IPV so they can extend help and respond appropriately to family and friends.
Ten-Year Change in Neighborhood Socioeconomic Deprivation and Rates of Total, Cardiovascular Disease, and Cancer Mortality in Older US Adults

Low neighborhood socioeconomic status has been linked to adverse health outcomes. However, it is unclear whether changing the neighborhood may influence health. We examined 10-year change in neighborhood socioeconomic deprivation in relation to mortality rate among 288,555 participants aged 51-70 years who enrolled in the National Institutes of Health-AARP Diet and Health Study in 1995-1996 (baseline) and did not move during the study. Changes in neighborhood socioeconomic deprivation between 1990 and 2000 were measured by US Census data at the census tract level. All-cause, cardiovascular disease, and cancer deaths were ascertained through annual linkage to the Social Security Administration Death Master File between 2000 and 2011. Overall, our results suggested that improvement in neighborhood socioeconomic status was associated with a lower mortality rate, while deterioration was associated with a higher mortality rate. More specially, a 30-percentile-point reduction in neighborhood deprivation among more deprived neighborhoods was associated with 11% and 19% reductions in the total mortality rate among men and women, respectively. On the other hand, a 30-point increase in neighborhood deprivation in less deprived neighborhoods was associated with an 11% increase in the mortality rate among men. Our findings support a longitudinal association between changing neighborhood conditions and mortality.
ImaGEO: integrative gene expression meta-analysis from GEO database

SUMMARY The Gene Expression Omnibus (GEO) database provides an invaluable resource of publicly available gene expression data that can be integrated and analyzed to derive new hypothesis and knowledge. In this context, gene expression meta-analysis (geMAs) is increasingly used in several fields to improve study reproducibility and discovering robust biomarkers. Nevertheless, integrating data is not straightforward without bioinformatics expertise. Here, we present ImaGEO, a web tool for geMAs that implements a complete and comprehensive meta-analysis workflow starting from GEO dataset identifiers. The application integrates GEO datasets, applies different meta-analysis techniques and provides functional analysis results in an easy-to-use environment. ImaGEO is a powerful and useful resource that allows researchers to integrate and perform meta-analysis of GEO datasets to lead robust findings for biomarker discovery studies. AVAILABILITY AND IMPLEMENTATION ImaGEO is accessible at http://bioinfo.genyo. es/imageo/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Is privacy a problem during bedside handovers? A practice-oriented discussion paper

Bedside handover is the delivery of the nurse-to-nurse handover at the patient’s bedside. Although increasingly used in nursing, nurses report many barriers for delivering the bedside handover. Among these barriers is the possibility of breaching the patient’s privacy. By referring to this concept, nurses add a legal and ethical dimension to the delivery of the bedside handover, making implementation of the method difficult or even impossible. In this discussion article, the concept of privacy during handovers is being discussed by use of observations, interviews with nurses, and interviews with patients. These findings are combined with international literature from a narrative review on the topic. We provide a practice-oriented answer in which two mutually exclusive possibilities are discussed. If bedside handover does pose problems concerning privacy, this situation is not unique in healthcare and measures can be taken during the bedside handover to safeguard the patient. If bedside handover does not pose problems concerning privacy, privacy is misused by nurses to hide professional uncertainties and/or a reluctance toward patient participation. Therefore, a possible breach of privacy—whether a justified argument or not—is not a reason for not delivering the bedside handover.
Aging and the evolution of comorbidities among HIV-positive individuals in a European cohort

Objectives: To describe changes in the prevalence of comorbidities and risk factors among HIV-positive individuals in the EuroSIDA study. Design: Comparison of two cross-sectional cohorts of HIV-positive adults under active follow-up in 2006 and 2014. Methods: Baseline demographics and prevalence of comorbidities were described. Factors associated with the prevalence of chronic kidney disease (CKD) and cardiovascular disease (CVD) were assessed by logistic regression modelling using generalized estimating equations. Results: Nine thousand, seven hundred and ninety-eight individuals were under active follow-up in EuroSIDA during 2006 and 12 882 during 2014. Compared with study participants in 2006, those in 2014 were older [median age 48.6 years (IQR 40.3–55.1) vs. 43.1 years (37.2–50.0) in 2006] and had higher prevalence of hypertension (59.6 vs. 47% in 2006), diabetes (6.3 vs. 5.4%), CKD (6.9 vs. 4.1%) and CVD (5.0 vs. 3.7%). Individuals in the 2014 cohort had higher odds for CKD (unadjusted OR 2.62, 95% CI 2.30–2.99, P < 0.0001) and CVD (OR 1.88, CI 1.68–2.10, P < 0.0001), but after multivariable adjustment for age group, comorbidities and other factors, year of cohort was no longer significantly associated with the odds of CKD [adjusted OR (aOR) 0.97, CI 0.52–1.82, P = 0.92) or of CVD (aOR 0.94, CI 0.54–1.63, P = 0.82). Conclusion: Between 2006 and 2014, the population aged and experienced an overall higher prevalence of non-AIDS comorbidities, including CKD and CVD. The increase in CVD could be explained by the aging population, and the increase in CKD by aging and changes in other factors. Treatment strategies balancing HIV outcomes with long-term management of comorbidities remain a priority.
Lack of DNA Damage Response at Low Radiation Doses in Adult Stem Cells Contributes to Organ Dysfunction

Purpose: Radiotherapy for head and neck cancer may result in serious side effects, such as hyposalivation, impairing the patient's quality of life. Modern radiotherapy techniques attempt to reduce the dose to salivary glands, which, however, results in low-dose irradiation of the tissue stem cells. Here we assess the low-dose sensitivity of tissue stem cells and the consequences for tissue function. Experimental Design: Postirradiation rat salivary gland secretory function was determined after pilocarpine induction. Murine and patient-derived salivary gland and thyroid gland organoids were irradiated and clonogenic survival was assessed. The DNA damage response (DDR) was analyzed in organoids and modulated using different radiation modalities, chemical inhibition, and genetic modification. Results: Relative low-dose irradiation to the high-density stem cell region of rat salivary gland disproportionally impaired function. Hyper-radiosensitivity at doses <1 Gy, followed by relative radioresistance at doses ≥1 Gy, was observed in salivary gland and thyroid gland organoid cultures. DDR modulation resulted in diminished, or even abrogated, relative radioresistance. Furthermore, inhibition of the DDR protein ATM impaired DNA repair after 1 Gy, but not 0.25 Gy. Irradiation of patient-derived salivary gland organoid cells showed similar responses, whereas a single 1 Gy dose to salivary gland–derived stem cells resulted in greater survival than clinically relevant fractionated doses of 4 × 0.25 Gy. Conclusions: We show that murine and human glandular tissue stem cells exhibit a dose threshold in DDR activation, resulting in low-dose hyper-radiosensitivity, with clinical implications in radiotherapy treatment planning. Furthermore, our results from patient-derived organoids highlight the potential of organoids to study normal tissue responses to radiation.
Within-ecosystem issue linking: a large-scale study of rails

Social coding facilitates the sharing of ideas within and between projects in an open source ecosystem. Bug fixing and triaging, in particular, are aided by linking issues in one project to potentially related issues within it or in other projects in the ecosystem. Identifying and linking to related issues is in general challenging, and more so across projects. Previous studies, on a limited number of projects have shown that linking to issues within a project associates with faster issue resolution times than cross-project linking. In this paper, we present a mixed methods study of the relationship between the practice of issue linking and issue resolution in the Rails ecosystem of open source projects. Using a qualitative study of issue linking we identify a discrete set of linking outcomes together with their coarse-grained effects on issue resolution. Using quantitative study of patterns in developer linking within and across projects, from a large-scale dataset of issues in Rails and its satellite projects, we find that developers tend to link more cross-project or cross-ecosystem issues over time. Furthermore, using models of issue resolution latency, when controlled for various attributes, we do not find evidence that linking across projects will retard issue resolution, but we do find that it is associated with more discussion.
Code2graph: Automatic Generation of Static Call Graphs for Python Source Code

A static call graph is an imperative prerequisite used in most interprocedural analyses and software comprehension tools. However, there is a lack of software tools that can automatically analyze the Python source-code and construct its static call graph. In this paper, we introduce a prototype Python tool, named code2graph, which automates the tasks of (1) analyzing the Python source-code and extracting its structure, (2) constructing static call graphs from the source code, and (3) generating a similarity matrix of all possible execution paths in the system. Our goal is twofold: First, assist the developers in understanding the overall structure of the system. Second, provide a stepping stone for further research that can utilize the tool in software searching and similarity detection applications. For example, clustering the execution paths into a logical workflow of the system would be applied to automate specific software tasks. Code2graph has been successfully used to generate static call graphs and similarity matrices of the paths for three popular open-source Deep Learning projects (TensorFlow, Keras, PyTorch). A tool demo is available at https://youtu.be/ecctePpcAKU.
Recreational athletes’ running motivations as predictors of their use of online fitness community features

ABSTRACT Fitness wearables and apps provide users with quantified information about their exercise behaviour. Users often access this information on online fitness communities (OFCs) such as RunKeeper or Strava. These OFCs do not only provide feedback on the user’s performance but also offer social features. To date, little is known about the extent to which the different features in OFCs answer to users’ motivations to exercise. This study addresses this question, by examining (1) whether there are differences in motivations for running between OFC users and non-users and (2) whether the use of particular features is driven by particular running motivations. A survey study was conducted among 717 runners, of which 57% used an OFC to support running activities. Results demonstrate that OFC users are more achievement-oriented than non-OFC users, especially regarding the attainment of personal goals. OFC users with physical motivations (e.g. weight loss) use self-regulatory features more frequently, while runners with social motivations more often use features that afford them to share activities on social media. Achievement-oriented runners appreciate features that allow them to track their progress and interact with other OFC users. No relation was found between the use of OFC features and psychological motivations for running.
Maternal Ybx1 safeguards zebrafish oocyte maturation and maternal-to-zygotic transition by repressing global translation

ABSTRACT Maternal mRNAs and proteins dictate early embryonic development before zygotic genome activation. In the absence of transcription, elaborate control of maternal mRNA translation is of particular importance for oocyte maturation and early embryogenesis. By analyzing zebrafish ybx1 mutants with a null allele, we demonstrate an essential role of maternal ybx1 in repressing global translation in oocytes and embryos. Loss of maternal Ybx1 leads to impaired oocyte maturation and egg activation. Maternal ybx1 (Mybx1) mutant embryos fail to undergo normal cleavage and the maternal-to-zygotic transition (MZT). Morpholino knockdown of ybx1 also results in MZT loss and epiboly failure, suggesting the postfertilization requirement of Ybx1. In addition, elevated global translation level and the unfolded protein response were found in Ybx1-depleted embryos. Supplementing translational repression by eIF4E inhibition markedly rescues the Mybx1 phenotype. Mechanistically, Ybx1 in embryos may associate with processing body components and repress translation when tethered to target mRNAs. Collectively, our results identify maternal Ybx1 as a global translational repressor required for oocyte maturation and early embryogenesis. Highlighted Article: Maternal Ybx1 is an essential translational repressor during zebrafish oocyte maturation and early embryonic development, and its loss leads to abnormal oocyte maturation, egg activation and early embryogenesis.
Vitamin D and Tissue-Specific Insulin Sensitivity in Humans With Overweight/Obesity

Context Vitamin D deficiency in obesity has been linked to insulin resistance. However, studies that examined the association between plasma 25-hydroxyvitamin D3 [25(OH)D3] as well as plasma 1,25-dihydroxyvitamin D3 [1,25(OH)2D3] and tissue-specific insulin sensitivity are scarce. Furthermore, vitamin D receptor (VDR) and vitamin D-metabolizing enzymes [cytochrome 450 (CYP)] expression in adipose tissue (AT) might affect AT insulin sensitivity. Objective To investigate the association between body mass index (BMI) and plasma 25(OH)D3 and 1,25(OH)2D3, AT VDR; between plasma 25(OH)D3, 1,25(OH)2D3, AT VDR, and tissue-specific insulin sensitivity in individuals with overweight/obesity. Design and Patients This analysis included 92 adult individuals (BMI, >25 kg/m2). A two-step hyperinsulinemic-euglycemic clamp with a [6,6-2H2]-glucose tracer was performed to assess tissue-specific insulin sensitivity. Abdominal subcutaneous AT (SAT) mRNA expression of VDR and CYP was determined by using quantitative RT-PCR. Setting University medical center. Main Outcome Measures Plasma 25(OH)D3, 1,25(OH)2D3, 1,25(OH)2D3/25(OH)D3 ratio, SAT VDR and CYPs mRNA, and tissue-specific insulin sensitivity. Results BMI was inversely associated with plasma 25(OH)D3 (β = -0.274; P = 0.011) but not with plasma 1,25(OH)2D3. Plasma 25(OH)D3 was not related to CYPs or VDR expression in SAT. Plasma 1,25(OH)2D3 and 25(OH)D3 were not related to tissue-specific insulin sensitivity. Interestingly, SAT VDR mRNA was negatively associated with AT insulin sensitivity (β = -0.207; P = 0.025). Conclusions BMI was inversely associated with 25(OH)D3 concentrations, which could not be explained by alterations in SAT VDR and CYP enzymes. Plasma vitamin D metabolites were not related to tissue-specific insulin sensitivity. However, VDR expression in SAT was negatively associated with AT insulin sensitivity.
Analysis of Network Lasso for Semi-Supervised Regression

We apply network Lasso to semi-supervised regression problems involving network-structured data. This approach lends quite naturally to highly scalable learning algorithms in the form of message passing over an empirical graph which represents the network structure of the data. By using a simple non-parametric regression model, which is motivated by a clustering hypothesis, we provide an analysis of the estimation error incurred by network Lasso. This analysis reveals conditions on the network structure and the available training data which guarantee network Lasso to be accurate. Remarkably, the accuracy of network Lasso is related to the existence of suciently large network flows over the empirical graph. Thus, our analysis reveals a connection between network Lasso and maximum network flow problems.