31 research outputs found

    Sunspot Time Series Forecasting using Deep Learning

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    In order to forecast solar cycle 25, sunspot numbers(SSN) from 1700 ∼ 2018 was used as a time series to predict the next eleven years. deep long short-term memory(LSTM) was exploited to do the forecast, first the dataset was split into training set(80%) and (20%) for the test set, the achieved accuracy led us to forecast the next eleven years. The result shows that the cycle will be from 2019 ∼ 2029 with peak at 2024

    Acquisition of invasiveness by breast adenocarcinoma cells engages established hallmarks and novel regulatory mechanisms

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    Background/Aim: Proteomics of invasiveness opens a window on the complexity of the metastasis-engaged mechanisms. The extend and types of this complexity require elucidation. Materials and Methods: Proteomics, immuno -histochemistry, immunoblotting, network analysis and systems cancer biology were used to analyse acquisition of invasiveness by human breast adenocarcinoma cells. Results: We report here that invasiveness network highlighted the involvement of hallmarks such as cell proliferation, migration, cell death, genome stability, immune system regulation and metabolism. Identified involvement of cell-virus interaction and gene silencing are potentially novel cancer mechanisms. Identified 6,113 nodes with 11,055 edges affecting 1,085 biological processes show extensive re-arrangements in cell physiology. These high numbers are in line with a similar broadness of networks built with diagnostic signatures approved for clinical use. Conclusion: Our data emphasize a broad systemic regulation of invasiveness, and describe the network of this regulation. - 2019 International Institute of Anticancer Research. All rights reserved.Scopu

    A Proposed ANN-Based Acceleration Control Scheme for Soft Starting Induction Motor

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    In this article, a new soft starting control scheme based on an artificial neural network (ANN) is presented for a three-phase induction motor (IM) drive system. The main task of the control scheme is to keep the accelerating torque constant at a level based on the value of reference acceleration. This is accomplished by the proper choice of the firing angles of thyristors in the soft starter. Using the ANN approach, the complexity of the online determination of the thyristors firing angles is resolved. The IM torque-speed characteristic curves are firstly used to train the ANN model. Secondly, the IM- soft starter system is modeled using MATLAB/SIMULINK. To prove the effectiveness of the proposed ANN-based acceleration control scheme, different reference accelerations and loading conditions are applied and investigated. Finally, a laboratory prototype of 3 kW soft starter is implemented. The proposed control scheme is executed in a real-time environment using a digital signal processor (Model: TMS320F28335). The simulation and real-time results significantly confirm that the proposed controller can efficiently reduce the IM starting current and torque pulsations. This in turn ensures a smooth acceleration of the IM during the starting process. Moreover, the proposed control scheme has the superiority over several soft starting control schemes since it has a simple control circuit configuration, less required sensors, and low computational burden of the control algorithm. © 2021 Institute of Electrical and Electronics Engineers Inc.. All rights reserved

    Xeno-free trans-differentiation of adipose tissue-derived mesenchymal stem cells into glial and neuronal cells.

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    Mesenchymal stem cells (MSCs) are undifferentiated cells that have the ability of self-renewal and trans-differentiation into other cell types. They hold out hope for finding a cure for many diseases. Nevertheless, there are still some obstacles that limit their clinical transplantation. One of these obstacles are the xenogeneic substances added in either proliferation or differentiation media with subsequent immunogenic and infectious transmission problems. In this study, we aimed to replace fetal bovine serum (FBS), the main nutrient source for MSC proliferation with xeno-free blood derivatives. We tested the effect of human activated pure platelet-rich plasma (P-PRP) and advanced platelet-rich fibrin (A-PRF) on the proliferation of human adipose derived-MSCs (AD-MSCs) at different concentrations. For the induction of MSC neural differentiation, we used human cerebrospinal fluid (CSF) at different concentrations in combination with P-PRP to effect xeno-free/species-specific neuronal/glial differentiation and we found that media with 10% CSF and 10% PRP promoted glial differentiation, while media with only 10% PRP induced a neuron-like phenotype

    The role of antibiotic resistance mobile genetic element MCR-1 in enhancing bacterial survival in macrophages

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    Background: Antimicrobial resistance (AMR) determinants such as mobile colistin resistance (MCR-1) that encodes colistin resistance are increasingly spreading in healthcare-associated and community-acquired infections. 1 Colistin, a cationic peptide antibiotic, resistance is encoded by the MCR-1 gene that functions as phosphoethanolamine (PEA) transferase which adds a PEA moiety to lipid A head group rendering it resistant to host antimicrobial cationic peptides (AMPs). 2,3 The given hypothesis is that MCR-1 harboring bacteria survive longer in macrophages by evading AMPs. This study aims to investigate the role of MCR-1 in enhancing bacterial survival in macrophages. Methods: Eight E. coli strains were used in the study in which 4 strains were MCR-1 positive and 4 strains were negative. MCR-1 was confirmed by Polymerase Chain Reaction (PCR), and colistin and polymyxin minimal inhibitory concentrations (MICs) were determined using the microdilution method. Macrophage bactericidal assay was employed to examine bacterial survival using adherent murine RAW264 macrophages in an in-vitro bacterial infection model. Briefly, Macrophages were infected with E. coli strains at a multiplicity of infection (MOI) of 50 for 1 hour. The survival of bacteria associated with macrophages was quantified by agar plating method to calculate colony forming units (CFU/ml). Cytokines released from infected macrophages were quantified using ELISA method respectively. Results: Colistin MICs for MCR-1 positive E. coli strains were >25 ?g/ml, whereas MCR-1 negative E. coli MICs < 6.2 ?g/ml. E. coli strains encoding MCR-1 survived significantly more in association with macrophages (p = 0.024) compared to MCR-1 negative E. coli strains. Further, E.coli strains encoding MCR-1 induced slightly less IL-1? release from infected macrophages compared to E. coli strains without MCR-1 (p = 0.05). Taken together, the data suggest that MCR-1 enhanced bacterial survival in association with macrophages and modulated innate immune responses which may lead to treatment failure. Conclusion: MCR-1 encoding E. coli strains conferred resistance to colistin and survived more in association with macrophages.Qscienc

    MicroRNA-150 down Regulation in Acute Myeloid Leukaemia Patients and Its Prognostic Implication

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    BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNAs that are important for post-transcriptional gene regulation in both healthy and morbid conditions. Numerous miRNAs promote tumorigenesis, while others have a tumour suppressive effects. Acute myeloid leukaemia (AML) is a heterogeneous group of genetically diverse hematopoietic malignancies with variable response to treatment. AIM: Our study aimed to investigate the possible role of miR-150 in de novo adult AML and the impact of its level on survival, and we used in the silicon analysis to predict the main target genes involved in miR-150 mediated cancer pathway. MATERIAL AND METHODS: We evaluated miR-150 expression profiling assay using TaqMan primer probes RT-PCR in the plasma of 50 adult AML patients, before the start of treatment and at day 28 of treatment, along with 20 normal adult control samples. miR-16 was used as an endogenous reference for standardisation. Follow-up of patients during treatment at day 28 of induction chemotherapy and after one year was done. RESULTS: In this study, we found a significantly lower level of miR-150 in AML patients when compared to controls (p = 0.005) with 0.62 fold change than in healthy controls. Patients were divided into two groups: the low miR-150 group (miR-150 &lt; 1) and the high miR-150 group (miR-150 &gt; 1). A statistically significant difference was found between the two groups regarding initial total leukocytic count and initial PB blast count while for the TLC, HB and PLT count at follow up. No difference in the overall survival between the low and the high miR-150 groups could be demonstrated. CONCLUSION: Our results suggest that miR-150 functions as a tumour suppressor and gatekeeper&nbsp;in inhibiting cell transformation and that its downregulation is required for leukemogenesis

    Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey

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    Background: SARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice. Methods: This is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure. Results: Nine hundred fifty-four surgeons completed the survey. The median length of practice was 10&nbsp;years; 78.2% included were male with a median age of 37&nbsp;years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout. There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management. Conclusions: There was a significant burnout among trainees. Almost all aspects of clinical and research activities were affected with a significant reduction in the volume of research, outpatient clinic visits, surgical procedures, on-call hours, and emergency cases hindering the training. Trial registration: The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020
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