417 research outputs found

    State Aid in the EU through Tax Rulings and Transfer Pricing

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    State Aid in the EU through Tax Rulings and Transfer Pricing

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    ULTRA WIDE BAND RADAR BASED BREAST CANCER DETECTION USING STACKED PATCH AND WIDE SLOT ANTENNA

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    A wide slot UWB antenna is used for the detection of breast cancer .This method works on the principle of ultra wide band radar imaging technique. In this paper comparing the performance of both stacked patch and wide slot antenna used for the purpose of breast cancer detection. Calculating specific absorption rate of both antenna, when it is placed in a normal tissue and tumors tissue, and comparing its results .And also measuring certain parameters of both simulated and measured results. From this comparative study its clear that wide slot UWB antenna has excellent performance in this UWB frequency range. And also wide slot antenna is three times smaller than stacked patch antenna

    Technology-Facilitated sexual violence perpetration and victimization among adolescents: a network analysis

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    Introduction The present study sought to analyze the relationships between diferent forms of technology-facilitated sexual violence (TFSV) perpetration and victimization, including gender- and sexuality-based harassment, digital sexual harassment, and image-based sexual abuse (IBSA), which includes both sextortion and non-consensual pornography. Methods The sample was composed of 1682 adolescents (865 girls; Mage=13.90, SDage=1.26) who completed self-report measures from November 2019 to March 2020. We conducted network analyses to analyze the relationships among diferent forms of TFSV perpetration and victimization. Results Overall, girls had higher victimization scores, whereas boys had higher scores in the perpetration of several forms of TFSV. Gender- and sexuality-based victimization formed a cluster with digital sexual harassment victimization, while sextortion and nonconsensual pornography victimization formed a diferentiated cluster. Forms of IBSA victimization and digital sexual harassment victimization were strongly associated with their perpetration counterparts for boys, but this was not the case for girls. Conclusions The results revealed that the diferent forms of victimization and perpetration appear to be related and suggest that TFSV is a gendered form of abuse. Policy Implications Findings from the present study suggest that preventive programs in schools and communities should be holistic and address various forms of TFSVOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Funding for this study was provided by the Ministerio de Ciencia e Innovación (the Spanish Government) Grant RTI2018‐101167‐B‐I0

    Response of mycorrhizal grapevine to Armillaria mellea inoculation: disease development and polyamines.

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    A study was conducted with the vine rootstock Richter 110 (Vitis berlandieri Planch. x Vitis rupestris L.) in order to assess whether the colonisation by the arbuscular mycorrhizal fungus (AMF) Glomus intraradices (BEG 72) can delay the disease development in plants inoculated with the root-rot fungus Armillaria mellea (Vahl:Fr) Kummer, and to elucidate if the levels of polyamines (PAs) are modified in response to G. intraradices, A. mellea or by the dual infection. Four treatments were considered: control and G. intraradices-inoculated plants infected or not with A. mellea. Plant growth, mycorrhizal colonisation and disease development were monitored throughout the experiment. High performance liquid chromatography (HPLC) in combination with fluorescence spectrophotometry was used to separate and quantify free root and leaf polyamines. The slower development of pathogenic symptoms and the higher plant biomass of mycorrhizal plants inoculated with A. mellea indicate an increase of tolerance due to the AMF inoculation. The variations in free PA levels detected at the beginning of the pathogenic infection suggest that PAs may have a potential role in the signalling mechanisms of the tolerance of mycorrhizal plants against A. mellea

    Stability of the online grooming victimization of minors: prevalence and association with shame, guilt, and mental health outcomes over one year

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    Introduction: Online grooming is the process by which an adult manipulates a minor by using information and communication technologies to interact sexually with that minor. The objective of this study was to analyze the stability of online grooming victimization among minors and its relationship with demographic variables (e.g., gender, age, and sexual orientation), emotions of shame and guilt, and depression and anxiety symptoms. Methods: The participants were 746 adolescents aged 12–14 years when the study started (Mage = 13.34, SD = 0.87) who completed self‐reports at Time 1 (T1) and 1 year later at Time 2 (T2). Among them, 400 were girls, 344 were boys, and two were nonbinary. At each time point, the minors self‐reported their online grooming experiences during the previous year. Results: The results showed that 11.8% (n = 89) of the participants were T1‐victims, 13% (n = 95) were T2‐victims, and 11% (n = 81) were stable victims of online grooming. Stability in victimization was related to being older, being a sexual minority, being born abroad, having separated or divorced parents, and having parents with a lower education level. Stable victims showed higher shame and guilt scores at T1 than did T1‐victims, indicating that elevated levels of shame and guilt could contribute to the persistence of online grooming over time. Conclusions: Overall, adolescents in the stable victim category presented more depression and anxiety symptoms. Intervention strategies should address emotions related to victimization, such as shame and guilt, as well as depression and anxiety symptomsMinisterio de Ciencia e Innovación (Spanish Government), Grant/Award Number: RTI2018‐ 101167‐B‐I0

    Automated sleep stage classification in sleep apnoea using convolutional neural networks

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    A sleep disorder is a condition that adversely impacts one\u27s ability to sleep well on a regular schedule. It also occurs as a consequence of numerous neurological sicknesses. These types of disorders can be investigated using laboratory-based polysomnography (PSG) signals. The detection of neurological disorders is exact and efficient thanks to the automated monitoring of sleep relegation stages. This automation method publicly presents a flexible deep learning model and machine learning approach utilizing raw electroencephalogram (EEG) signals. The deep learning model is a Deep Convolutional Neural Network (CNN) that analyses invariant time capacities and frequency actualities and collects assessment adaptations. It also captures the inviolate and long brief length setting conditions between the epochs and the degree of sleep stage relegation. This method uses an innovative function to calculate data loss and misclassified errors found while training the network for the sleep stage, considering the restrictions found in the publicly available sleep datasets. It is used in conjunction with machine learning techniques to forecast the best approach for the process. Its effectiveness is determined by using two open-source, public databases available from PhysioNet: two recordings with 5402 epoch counts. The technique used in this approach achieves an accuracy of 90.70%, precision of 90.50%, recall of 92.70%, and F-measure of 90.60%. The proposed method is more significant than existing models like AlexNet, ResNet, VGGNet, and LeNet. The comparative study of the models could be adopted for clinical use and modified based on the requirements

    CHK1 expression in gastric cancer is modulated by p53 and RB1/E2F1: implications in chemo/radiotherapy response

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    This work is licensed under a Creative Commons Attribution 4.0 International License.-- et al.Radiation has a limited but relevant role in the adjuvant therapy of gastric cancer (GC) patients. Since Chk1 plays a critical function in cellular response to genotoxic agents, we aimed to analyze the role of Chk1 in GC as a biomarker for radiotherapy resistance. We analyzed Chk1 expression in AGS and MKN45 human GC cell lines by RT-QPCR and WB and in a small cohort of human patient's samples. We demonstrated that Chk1 overexpression specifically increases resistance to radiation in GC cells. Accordingly, abrogation of Chk1 activity with UCN-01 and its expression with shChk1 increased sensitivity to bleomycin and radiation. Furthermore, when we assessed Chk1 expression in human samples, we found a correlation between nuclear Chk1 accumulation and a decrease in progression free survival. Moreover, using a luciferase assay we found that Chk1's expression is controlled by p53 and RB/E2F1 at the transcriptional level. Additionally, we present preliminary data suggesting a posttranscriptional regulation mechanism, involving miR-195 and miR-503, which are inversely correlated with expression of Chk1 in radioresistant cells. In conclusion, Chk1/microRNA axis is involved in resistance to radiation in GC, and suggests Chk1 as a potential tool for optimal stratification of patients susceptible to receive adjuvant radiotherapy after surgery.This work was supported by Instituto de Salud Carlos III–Fondo de Investigación Sanitaria (PS09/1988 to ISP; PI11-00949, pI014-1495 and Feder Funds to RP); Comunidad Autónoma de Madrid-Universidad Autónoma de Madrid (CCG10-UAM/BIO-5871 to ISP); Fundación Leticia Castillejo Castillo and Ministerio de Ciencia e Innovación (SAF2012-30862 to RSP), Spain. JBI was supported by a fellowship from Catedra Isaac Costero, funded by Banco Santander UAM and is a doctoral student from a double doctorate program in Molecular Biosciences (UAM) and in Biomedical Sciences, (UNAM) and received fellowship CVU:607546 from CONACYT.Peer Reviewe
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