The results of this study demonstrated a sedentary lifestyle in young adults during the COVID-19 pandemic, which will assist health policymakers and practitioners in the development of population specific health education and behavior interventions during this pandemic and for other future eventsWound healing constitutes an essential process for all organisms and involves a sequence of three phases The disruption or elongation of any of these phases can lead to a chronic or non-healing wound Electrical stimulation accelerates wound healing by mimicking the current that is generated in the skin after any injury Here, we sought to identify the molecular mechanisms involved in the healing process following in vitro microcurrent stimulation-a type of electrotherapy Our results concluded that microcurrents promote cell proliferation and migration in an ERK 1/2- or p38-dependent way Furthermore, microcurrents induce the secretion of transforming growth factor-beta-1 TGF-β1 in fibroblasts and osteoblast-like cells Interestingly, transcriptomic analysis uncovered that microcurrents enhance the transcriptional activation of genes implicated in Hedgehog, TGF-β1 and MAPK signaling pathways Overall, our results demonstrate that microcurrents may enhance wound closure through a combination of signal transductions, via MAPK's phosphorylation, and the transcriptional activation of specific genes involved in the healing process These mechanisms should be further examined in vivo, in order to verify the beneficial effects of microcurrents in wound or fracture healingThis study deals with the analytical modeling of hybrid fiber-reinforced concretes HyFRCs made with a blend of different types of fibers characterized by different geometries and/or constitutive materials The presented analytical formulation is oriented towards predicting the postcracking behavior of HyFRC and is mainly based on the well-known "cracked-hinge" model originally employed for standard fiber-reinforced concrete beams The proposed model is validated by considering the experimental results obtained in a previous study carried out on HyFRCs mixtures made with a blend of steel and polypropylene fibers Theoretical results are presented to demonstrate the predictive capabilities of the model to simulate the observed experimental behavior The model performance is in very good agreement with the experimental data Therefore, it has the capability to forecast the postcracking behavior of a generic HyFRC of given fiber contents depending on the actual proportion of the fiber blend Finally, the proposed formulation can be applied as a computational aid to the design of HyFRC mixtures for structural purposesThe functional understanding of metabolic changes requires both a significant investigation into metabolic pathways, as enabled by global metabolomics and lipidomics approaches, and the comprehensive and accurate exploration of specific key pathways To answer this pivotal challenge, we propose an optimized approach, which combines an efficient sample preparation, aiming to reduce the variability, with a biphasic extraction method, where both the aqueous and organic phases of the same sample are used for mass spectrometry analyses We demonstrated that this double extraction protocol allows working with one single sample without decreasing the metabolome and lipidome coverage It enables the targeted analysis of 40 polar metabolites and 82 lipids, together with the absolute quantification of 32 polar metabolites, providing comprehensive coverage and quantitative measurement of the metabolites involved in central carbon energy pathways  https//wwwselleckchemcom/products/valproic-acidhtml  With this method, we evidenced modulations of several lipids, amino acids, and energy metabolites in HepaRG cells exposed to fenofibrate, a model hepatic toxicant, and metabolic modulator This new protocol is particularly relevant for experiments involving limited amounts of biological material and for functional metabolic explorations and is thus of particular interest for studies aiming to decipher the effects and modes of action of metabolic disrupting compoundsAflatoxins are the secondary metabolites of Aspergillus flavus and Aspergillus parasiticus and are highly toxic and carcinogenic, teratogenic and mutagenic Ingestion of crops and food contaminated by aflatoxins causes extremely serious harm to human and animal health Therefore, there is an urgent need for a selective, sensitive and simple method for the determination of aflatoxins Due to their high performance and multipurpose characteristics, nanomaterials have been developed and applied to the monitoring of various targets, overcoming the limitations of traditional methods, which include process complexity, time-consuming and laborious methodologies and the need for expensive instruments At the same time, nanomaterials provide general promise for the detection of aflatoxins with high sensitivity, selectivity and simplicity This review provides an overview of recent developments in nanomaterials employed for the detection of aflatoxins The basic aspects of aflatoxin toxicity and the significance of aflatoxin detection are also reviewed In addition, the development of different biosensors and nanomaterials for aflatoxin detection is introduced The current capabilities and limitations and future challenges in aflatoxin detection and analysis are also addressedThe biological and clinical heterogeneity of neuroblastoma NB demands novel biomarkers and therapeutic targets in order to drive the most appropriate treatment for each patient Hypoxia is a condition of low-oxygen tension occurring in poorly vascularized tumor tissues In this study, we aimed to assess the role of hypoxia in the pathogenesis of NB and at developing a new clinically relevant hypoxia-based predictor of outcome We analyzed the gene expression profiles of 1882 untreated NB primary tumors collected at diagnosis and belonging to four existing data sets Analyses took advantage of machine learning methods We identified NB-hop, a seven-gene hypoxia biomarker, as a predictor of NB patient prognosis, which is able to discriminate between two populations of patients with unfavorable or favorable outcome on a molecular basis NB-hop retained its prognostic value in a multivariate model adjusted for established risk factors and was able to additionally stratify clinically relevant groups of patients