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Mechanisms involving Binding Specificity among bHLH Transcribing Elements.
4 ± 6.1%, (p = 0.08), alpha peripheral sympathetic response (alpha SP) obtained on hand grip test was of 35.6 ± 8.7% VS 12.0 ± 2.5%, (p less then 0.001), alpha central sympathetic response (alpha SC), beta central sympathetic response (beta SC) obtained during mental stress were of respectively 29.3 ± 9.2% VS 11.8 ± 2.4%, (p less then 0.001) and 11.0 ± 5.3% VS 10.4 ± 6.1%, (p = 0.2), alpha peripheral adrenergic sympathetic (alpha PAS) obtained during orthostatic test was of 25.3 ± 6.0% VS 13.0 ± 3.4%, (p less then 0.001). Conclusion These results demonstrated that Phenobarbital at low dose may have an anti-sympathetic effect in patients with masked hypertension. © 2020 The Authors. Published by Elsevier Ltd.The studies of advanced materials in environmental remediation and degradation of pollutants is rapidly advancing because of their wide varieties of applications. BiFeO3 (BFO), a perovskite nanomaterial with a rhombohedral R3c space group, is currently receiving tremendous attention in photodegradation of dyes. The photocatalytic activity of BFO nanoparticle is a promising field of research in photocatalysis. Diphenyleneiodonium order BFO nanomaterial is a photocatalyst enhanced by doping because of its reduce bandgap energy (2.0-2.77 eV), multiferroic property, strong photoabsorption and crystal structure. The material has proven to be very useful for the degradation of dyes under visible light irradiation among other photocatalysts. link2 Its exceptional nontoxicity, suitability, low cost and long term excellent stability makes it an efficient photocatalyst for the degradation of effluents from textile and pharmaceutical industries which ended-up in the environment and now a major concern of the modern world. This mini-review attempts to provide some detailed synthetic routes of BFO and BFO related nanomaterials and the notable achievements so far on the effect of doping the material. It also discusses the effect of crystallite size of the material and other photophysical properties and how they influence the photocatalytic process of model organic dye pollutants, to date. © 2020 Published by Elsevier Ltd.Background Gliomas are a group of diseases arising from intracranial neoplastic tissues that produce a wide spectrum of clinicopathological features and morphological changes. Key questions that intrigue neuro-oncology researchers include defining novel oncophenotypic signatures relevant to diagnosing such tumors and predicting prognoses among patients. One of the key regulators of the cellular actin dynamics is adenylyl cyclase-associated protein 2 (CAP2), a protein that has been studied before in the milieu of cancer and shown to be associated with tumor progression; yet, its expression levels in the context of gliomas have not been assessed. Hence, we were interested in investigating CAP2 expression in gliomas and evaluating its clinicopathological and prognostic significance. Materials and methods CAP2 expression at the protein level was analyzed in 47 human paraffin-embedded gliomas and normal brain tissues by automated immunohistochemical analysis. Statistical analysis was also performed to assess CAP2 expression level in normal and tumor tissues, and to evaluate its clinicopathological and prognostic significance. Results Our results revealed high expression of CAP2 protein in tumors of gliomas compared to normal tissues and normal areas adjacent to tumors. High expression of CAP2 was also associated with advanced tumor grades among gliomas. Kaplan-Meier analysis revealed that high CAP2 expression was associated with poor prognosis of patients with glioma (P less then 0.05). In Cox regression analysis, CAP2 expression was indicated as an independent prognostic factor for overall survival (hazard ratio (HR) = 1.843, 95% confidence interval (CI), 1.252-2.714; P less then 0.005). Conclusion CAP2 is overexpressed in glioma and it is proposed as a potential prognostic biomarker for patients with gliomas. CAP2 expression level may serve as a promising target for diagnosis and treatment of glioma. © 2020 The Author(s).Introduction The aim of the study was to determine the outcome, prescribed therapy, and localization of non-traumatic intracerebral haemorrhage in patients with atrial fibrillation. Patients and methods This retrospective study enrolled patients with atrial fibrillation hospitalised for non-traumatic intracerebral haemorrhage from 2004 to 2013. We compared the patients according to previous antithrombotic therapy, demographics, previous CHADS2 score, comorbidities, the international normalised ration, localisation of intracerebral hamorrhage, stroke severity, prescribed antithrombotic therapy and outcome. Results A total of 85 patients were enrolled and assigned to an AT+ group (n = 49; 14 on aspirin, 35 on warfarin) and an AT- group (n = 36; without antithrombotic therapy prior to hospitalisation). The latter had a lower proportion of known atrial fibrillation (90% vs 47%, P less then 0.001). The mean INR was 2.6 ± 1.5. The in-hospital mortality rates in both groups were high 43% in AT+ group and 47% in AT- group. There were no significant differences in any of the predefined comparisons. Conclusion Treating patients with intracerebral haemorrhage and atrial fibrillation is challenging due to higher mortality rates and issues regarding the use of antithrombotic treatment in stroke prevention. Based on our data, prior antithrombotic therapy was not associated with increased in-hospital mortality rates or poorer functional outcome at hospital discharge in comparison with no prior antithrombotic therapy. © 2020 Published by Elsevier Ltd.Sexual cyberbullying is becoming a serious problem in today's society. In the workplace, this issue is more complex because of the power imbalance between potential perpetrators and victims. Preventing sexual cyberbullying in organizations is very important for a safety and respectful workplace. Occupational Safety and Health (OSH) standards establish certain policies to be considered to create an organizational culture based on zero tolerance to sexual cyberbullying. The research aims to broaden knowledge about personality and sexual cyberbullying. Therefore, this paper proposes a crucial tool to explore potential sexual cyberbullying behaviour. This study analysed how personality traits, particularly those related to the Dark Triad (psychopathy, Machiavellianism and narcissism), might influence this behaviour. Participants (N = 374) were Spanish young adults, using the convenience sampling to recruit them. The methodology focused on the use of structural equation modelling and ensemble classification tree. First, we tested the proposed hypotheses with structural equation method based on covariance using the Lavaan R-package. Second, for the ensemble of classification trees, we applied the package randomForest and Adabag (bagging and boosting) in R. link3 Results proposed high levels of psychopathy and Machiavellianism are more likely to be related to sexual cyberbullying behaviours. Organizations could use the tool proposed in this research to develop internal policies and procedures for detection and deterrence of potential cyberbullying behaviours. By raising awareness about cyberbullying behaviour including its conceptualisation and measurement in training courses, organizations might build an organizational culture based on a respectful workplace without sexual cyberbullying behaviours. © 2020 The Authors.Viral infections are responsible for many illnesses, and recent outbreaks have raised public health concerns. Despite the availability of many antiviral drugs, they are often unsuccessful due to the generation of viral mutants and less effective against their target virus. Identifying novel antiviral drugs is therefore of critical importance and natural products are an excellent source for such discoveries. Coumarin is one such natural compound that is a potential drug candidate owing to its properties of stability, solubility, and low toxicity. There are numerous evidences showing its inhibitory role against infection of various viruses such as HIV, Influenza, Enterovirus 71 (EV71) and coxsackievirus A16 (CVA16). The mechanisms involve either inhibition of proteins essential for viral entry, replication and infection or regulation of cellular pathways such as Akt-Mtor (mammalian target of rapamycin), NF-κB (nuclear factor kappa-light-chain-enhancer of activated B cells), and anti-oxidative pathway including NrF-2 (The nuclear factor erythroid 2 (NFE2)-related factor 2). This review summarizes the present state of understanding with a focus on coumarin's antiviral effect and their possible molecular mechanisms against Influenza virus, HIV, Hepatitis virus, Dengue virus and Chikungunya virus. © 2020 Published by Elsevier Ltd.The impact of particulate matter on the ambient air quality of Landmark University Farm was assessed using deposition fluxes of Trace elements (TEs) in the airshed of the farm. Deposition gauges were employed to collect both dry and wet deposition samples of particulate matter between 2018 and 2019. Elemental compositions of particulates collected during the sampling period were analyzed using Energy Dispersive X-ray Fluorescence Spectroscopy (ED-XRF). The deposition fluxes of crustal and anthropogenic trace elements were also determined using standard methods. Results showed that in dry season, iron has the highest mean concentration (3283.61 mg/kg), while chromium has the lowest (0.023 mg/kg). On the other hand, in wet season, silicon and nickel have the highest and lowest mean concentrations of 159.34 mg/kg and 0.01 mg/kg respectively. Although the concentrations of these metals were higher in the dry season than wet season, there was no statistical significant difference between the mean concentrations of the elements measured in each season of the year (p > 0.05). The compositions of some of the elements in the particulate matters were found to be far above the recommended exposure limits prescribed by OSHA. The study concluded that the elemental composition of particulate matter in the airshed of the University Farm adversely impacts the ambient air quality of the Community. © 2020 The Author(s).In this study, we analyzed option pricing of rainfall derivatives based on stochastic daily rainfall model. We used Markov Chain Analogue Year model (MCAY) in order to describe occurrence process of daily rainfall. We have included the Analogue Year (AY) component in the Markov Chain (MC), which is a new component incorporated in this study and pricing rainfall derivatives. The inclusion of AY in the MC, provides excellent description of the occurrence process of daily rainfall. The amount of daily rainfall on wet days is obtained using Mixed Exponential distribution because it has the advantage of a better representation of extreme events. Combining the occurrence and amount model, we obtained Markov Chain Analogue Year Mixed Exponential model (MCAYMEM). Daily rainfall data from 2005 to 2017 were taken from Ethiopia National Meteorology Agency (ENMA) in order to assess the model performance. Based on the results of the daily rainfall models, we calculated an option price for different months. The price calculated using MCAYMEM gave an excellent result compared to the price calculated using MCMEM.
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